DETAILED ACTION Notice of Pre-AIA or AIA Status The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA. Claim Rejections - 35 USC § 112 The following is a quotation of 35 U.S.C. 112(b): (b ) CONCLUSION.— The specification shall conclude with one or more claims particularly pointing out and distinctly claiming the subject matter which the inventor or a joint inventor regards as the invention. The following is a quotation of 35 U.S.C. 112 (pre-AIA), second paragraph: The specification shall conclude with one or more claims particularly pointing out and distinctly claiming the subject matter which the appl icant regards as his invention. Claim 1 is rejected under 35 U.S.C. 112(b) or 35 U.S.C. 112 (pre-AIA), second paragraph, as being indefinite for failing to particularly point out and distinctly claim the subject matter which the inventor or a joint inventor (or for applications subject to pre-AIA 35 U.S.C. 112, the applicant), regards as the invention. Claim 1 recites the limitation " the target coordinate data corresponding to each sensing chip " in lines 9-10 of page 32 . There is insufficient antecedent basis for this limitation in the claim. It is unclear if it is referring to the target coordinate data and corresponding acceleration data of all sensing chips in lines 5-6 or another type of target coordinate data . If it is referring to the target coordinate data and corresponding acceleration data of all sensing chips in lines 5-6, then it is recommended to amend to recite “the target coordinate data and corresponding acceleration data of all sensing chips ” , or if it’s referring to another type of target coordinate data , it is recommended to amend to recite “sample on the target coordinate data corresponding to each sensing chip”. Appropriate correction is required. Claim 1 recites the limitation " the target coordinate data ” in lines 12 of page 32. There is insufficient antecedent basis for this limitation in the claim. It is unclear if it is referring to the target coordinate data of the first sensing chip in lines 4 or the target coordinate data corresponding to each sensing chip in lines 9-10 or another target coordinate data. If it is referring to the target coordinate data of the first sensing chip in lines 4, then it is recommended to amend to recite “the target coordinate data of the first sensing chip ”. If it is referring to the target coordinate data corresponding to each sensing chip in lines 9-10, then it is recommended to amend to recite “the target coordinate data corresponding to each sensing chip ”. Appropriate correction is required. Claim 1 recites the limitation " the operation posture matrix ” in lines 11 of page 34. There is insufficient antecedent basis for this limitation in the claim. It is unclear if it is referring to the quaternion differentiation-related operation posture matrix in lines 7-8 or another operation posture matrix. If it is referring to the quaternion differentiation-related operation posture matrix in lines 7-8, then it is recommended to amend to recite “the quaternion differentiation-related operation posture matrix ”. Appropriate correction is required. Claims 2 -4 are also rejected under 35 U.S.C. 112(b) or 35 U.S.C. 112 (pre-AIA), second paragraph for being dependent on claim 1. Claim Rejections - 35 USC § 101 35 U.S.C. 101 reads as follows: Whoever invents or discovers any new and useful process, machine, manufacture, or composition of matter, or any new and useful improvement thereof, may obtain a patent therefor, subject to the conditions and requirements of this title. Regarding claim 1, the claim recites a method for monitoring operation of a wind power bearing holder, comprising: performing multi-cluster head assisted tracking at multi-point locations on an operation state of the wind power bearing holder via a plurality of sensing chips preinstalled in the wind power bearing holder to obtain point location tracking information, further comprising: performing signal acquisition on the plurality of sensing chips in the wind power bearing holder via a signal acquisition apparatus in a wind power generator to determine whether the wind power bearing holder is in operation; wherein the plurality of sensing chips are embedded to be uniformly distributed in the wind power bearing holder to enable the wind power bearing holder to achieve a rotational balance; in a case that the wind power bearing holder is in operation, determining a signal transmitting node of a first sensing chip in operation as a main cluster head node, and determining signal transmitting nodes of a second sensing chip and a third sensing chip as adjacent cluster head nodes; wherein the second sensing chip and the third sensing chip are located at left and right adjacent positions of the first sensing chip, respectively; performing three-dimensional spatial distance calculation with received signal carrier powers on the main cluster head node and the adjacent cluster head nodes based on a predefined time period according to a predefined received signal strength indicator (RSSI) algorithm to obtain main coordinate data and adjacent coordinate data in a current time period; wherein the main coordinate data and the adjacent coordinate data are both three-dimensional coordinate data; minimizing an average spatial distance of the adjacent coordinate data in the current time period according to a least squares algorithm, and performing median value-related calculation on a minimized spatial distance to obtain auxiliary coordinate data; and determining point location tracking information for all sensing chips based on the auxiliary coordinate data and target coordinate data of the first sensing chip; wherein the point location tracking information comprises: target coordinate data and corresponding acceleration data of all sensing chips in any time period; performing point location-related orthogonal covering on the point location tracking information, further comprising: performing point location sampling on the target coordinate data corresponding to each sensing chip in the point location tracking information in the current time period based on an orthogonal covering mechanism to obtain location data of multi-point locations related to the target coordinate data; dividing a sampled spatial region corresponding to the point location sampling according to the location data of the multi-point locations; calibrating signal strength of the location data of the multi-point locations through the sampled spatial region to obtain signal strength sequence numbers of the multi-point locations; determining a motion tendency of the location data of the multi-point locations according to the signal strength sequence numbers and a point location density in the sampled spatial region, and determining point location motion tendency data in the current time period with a point location having a greatest signal strength according to the signal strength sequence numbers as a reference point location; and acquiring the acceleration data corresponding to each sensing chip in the point tracking information; and associating the acceleration data and the location data of the multi-point locations in the sampled spatial region in one-to-one correspondence according to the point location motion tendency data, and generating a current circumferential motion trajectory based on the point location tracking information; performing point location-related motion vector correction and prediction on orthogonally covered point location tracking information to obtain circumferential motion trajectories of the point locations, further comprising: acquiring the orthogonally covered point location tracking information in the current time period; performing coordinate location vector prediction for a next time period on the target coordinate data in the current circumferential motion trajectory based on the acceleration data in the current circumferential motion trajectory according to a Lagrange interpolation function to obtain predicted target coordinate data; performing acceleration vector prediction for the next time period on the acceleration data in the current circumferential motion trajectory according to a locating distance between each point location in the current circumferential motion trajectory to obtain predicted acceleration data; sampling the predicted target coordinate data at predicted point locations; and dividing a predicted sampled spatial region corresponding to the predicted target coordinate data; determining a predicted motion tendency of multi-point locations in the predicted sampled spatial region according to signal strength sequence numbers of the predicted point locations and a corresponding predicted point location density in the predicted sampled spatial region; and generating a predicted circumferential motion trajectory in the next time period according to the predicted point locations in the predicted sampled spatial region and the corresponding predicted acceleration data; and obtaining the circumferential motion trajectories of the point locations based on the predicted circumferential motion trajectory and the current circumferential motion trajectory; wherein the circumferential motion trajectories comprise: the current circumferential motion trajectory and the predicted circumferential motion trajectory; acquiring an instantaneous vibration circumferential trajectory of the windpower bearing holder according to a vibration acceleration of the wind power bearing holder, further comprising: acquiring a vibration acceleration in the current time period by means of a vibration sensor in the wind power generator; performing quaternion differentiation division on the motion tendency data in the current circumferential motion trajectory according to a quaternion parameter algorithm to obtain a quaternion differentiation-related operation posture matrix; performing component division on the vibration acceleration in the current time period in each axial direction in a three-dimensional space according to the operation posture matrix to obtain vibration vector coordinate data; performing circumferential curve transient fitting on the vibration acceleration and the vibration vector coordinate data to obtain a transient fitting curve; and matching corresponding locations of the transient fitting curve based on a three-dimensional space where the wind power bearing holder is located, and determining an instantaneous vibration circumferential trajectory in the current time period; performing irregular trajectory filtering processing on the current circumferential motion trajectory in the circumferential motion trajectories with the instantaneous vibration circumferential trajectory to obtain an ideal circumferential motion trajectory of the wind power bearing holder, further comprising: performing linear normalization processing on the instantaneous vibration circumferential trajectory and the current circumferential motion trajectory to obtain an instantaneous vibration circumferential curve and a current circumferential curve, respectively; wherein the instantaneous vibration circumferential curve and the current circumferential curve are both spiral circumferential curves; performing difference processing on corresponding coordinate points on the instantaneous vibration circumferential curve and the current circumferential curve to obtain distances of a plurality of coordinate points; and performing median processing on the distances of the plurality of coordinate points to obtain a vibration difference distance; performing curve correction on the current circumferential curve according to the vibration difference distance to obtain a corrected circumferential curve; and performing vector processing on the corrected circumferential curve according to the acceleration data of the current circumferential motion trajectory to determine a corrected circumferential motion trajectory; and filtering out irregular trajectories of the current circumferential motion trajectory within a predefined error range with the corrected circumferential motion trajectory to obtain the ideal circumferential motion trajectory of the wind power bearing holder; generating a corresponding ideal circumferential spatial region and a corresponding predicted circumferential spatial region for the ideal circumferential motion trajectory and the predicted circumferential motion trajectory, respectively; and comparing locations of spatial region probability centroids between the ideal circumferential spatial region and the predicted circumferential spatial region to obtain a predicted coincided spatial region, further comprising: generating a first spiral cylinder corresponding to the ideal circumferential spatial region and a second spiral cylinder corresponding to the predicted circumferential spatial region, respectively, according to the ideal circumferential motion trajectory and the predicted circumferential motion trajectory; wherein the first spiral cylinder and the second spiral cylinder both contain location information of multi-point locations; acquiring location information of a first point location in the first spiral cylinder; acquiring a point location distribution plane region corresponding to the location information of the first point location according to a saliency of a probability distribution function; and locating a centroid of the first spiral cylinder in the point location distribution plane region via the probability density function to obtain first centroid location information of the first spiral cylinder; locating a centroid of the second spiral cylinder in the point location distribution plane region to obtain second centroid location information of the second spiral cylinder; and performing a three-dimensional spatial coincidence comparison in a same time domain and a same space domain between the first spiral cylinder and the second spiral cylinder according to the first centroid location information and the second centroid location info rm ation, and determining a predicted coincided spatial region coinciding with the first spiral cylinder and the second spiral cylinder; and determining whether there is an abnormality in operation of the wind power bearing holder according to the predicted coincided spatial region to obtain operation monitoring information of the wind power bearing, further comprising: determining a third spiral cylinder related to an actual circumferential spatial region according to an actual circumferential motion trajectory corresponding to the next time period; wherein the actual circumferential motion trajectory is a point location circumferential motion trajectory in the next time period of the ideal circumferential motion trajectory; locating a centroid of the third spiral cylinder in the point location distribution plane region to obtain third centroid location information of the third spiral cylinder; performing three-dimensional spatial coincidence comparison in a same time domain and a same spatial domain between the first spiral cylinder and the third spiral cylinder according to the third centroid location information to obtain a real coincided spatial region; and determining whether there is an abnormality in operation of the wind power bearing holder based on spatial region size determination information of the real coincided spatial region and the predicted coincided spatial region to obtain the operation monitoring information of the wind power bearing, to complete operation monitoring of the wind power generator. Step Analysis 1: Statutory Category? Yes . The claim recites a method; therefore, it is a process 2A - Prong 1: Judicial Exception Recited? Yes . The claim recites the limitation of performing three-dimensional spatial distance calculation with received signal carrier powers on the main cluster head node and the adjacent cluster head nodes based on a predefined time period according to a predefined received signal strength indicator (RSSI) algorithm to obtain main coordinate data and adjacent coordinate data in a current time period; wherein the main coordinate data and the adjacent coordinate data are both three-dimensional coordinate data . This limitation, as drafted, is a process that, under its broadest reasonable interpretation, covers performance of the limitation in the mind; for example, performing three-dimensional spatial distance calculation to obtain coordinate data can be done by a human with pen and paper. The claim recites the limitation of minimizing an average spatial distance of the adjacent coordinate data in the current time period according to a least squares algorithm, and performing median value-related calculation on a minimized spatial distance to obtain auxiliary coordinate data . This limitation, as drafted, is a process that, under its broadest reasonable interpretation, covers performance of the limitation in the mind; for example, minimizing an average spatial distance of the adjacent coordinate data can be done by a human with pen and paper. The claim recites the limitation of determining point location tracking information for all sensing chips based on the auxiliary coordinate data and target coordinate data of the first sensing chip . This limitation, as drafted, is a process that, under its broadest reasonable interpretation, covers performance of the limitation in the mind; for example, determining point location tracking information for all sensing chips based on the auxiliary coordinate data and target coordinate data of the first sensing chip can performed by a human with pen and paper . The claim recites the limitation of dividing a sampled spatial region corresponding to the point location sampling according to the location data of the multi-point locations . This limitation, as drafted, is a process that, under its broadest reasonable interpretation, covers performance of the limitation in the mind; for example, dividing a sampled spatial region corresponding to the point location sampling according to the location data of the multi-point locations can performed by a human with pen and paper . The claim recites the limitation of determining a motion tendency of the location data of the multi-point locations according to the signal strength sequence numbers and a point location density in the sampled spatial region . This limitation, as drafted, is a process that, under its broadest reasonable interpretation, covers performance of the limitation in the mind; for example, determining a motion tendency of the location data of the multi-point locations according to the signal strength sequence numbers and a point location density in the sampled spatial region can performed by a human with pen and paper . The claim recites the limitation of determining point location motion tendency data in the current time period with a point location having a greatest signal strength according to the signal strength sequence numbers as a reference point location . This limitation, as drafted, is a process that, under its broadest reasonable interpretation, covers performance of the limitation in the mind; for example, determining point location motion tendency data can performed by a human with pen and paper . The claim recites the limitation of acquiring the acceleration data corresponding to each sensing chip in the point tracking information; and associating the acceleration data and the location data of the multi-point locations in the sampled spatial region in one-to-one correspondence according to the point location motion tendency data . This limitation, as drafted, is a process that, under its broadest reasonable interpretation, covers performance of the limitation in the mind; for example, acquiring the acceleration data and associating the acceleration data and the location data in one-to-one correspondence according to the point location motion tendency data can performed by a human with pen and paper . The claim recites the limitation of performing coordinate location vector prediction for a next time period on the target coordinate data in the current circumferential motion trajectory based on the acceleration data in the current circumferential motion trajectory according to a Lagrange interpolation function to obtain predicted target coordinate data . Th is limitation, as drafted, is a process that, under its broadest reasonable interpretation, covers performance of the limitation in the mind; for example, performing coordinate location vector prediction can performed by a human with pen and paper . The claim recites the limitation of performing acceleration vector prediction for the next time period on the acceleration data in the current circumferential motion trajectory according to a locating distance between each point location in the current circumferential motion trajectory to obtain predicted acceleration data . This limitation, as drafted, is a process that, under its broadest reasonable interpretation, covers performance of the limitation in the mind; for example, performing acceleration vector prediction can performed by a human with pen and paper . The claim recites the limitation of dividing a predicted sampled spatial region corresponding to the predicted target coordinate data . This limitation, as drafted, is a process that, under its broadest reasonable interpretation, covers performance of the limitation in the mind; for example, dividing a predicted sampled spatial region corresponding to the predicted target coordinate data can performed by a human with pen and paper . The claim recites the limitation of determining a predicted motion tendency of multi-point locations in the predicted sampled spatial region according to signal strength sequence numbers of the predicted point locations and a corresponding predicted point location density in the predicted sampled spatial region; and generating a predicted circumferential motion trajectory in the next time period according to the predicted point locations in the predicted sampled spatial region and the corresponding predicted acceleration data . This limitation, as drafted, is a process that, under its broadest reasonable interpretation, covers performance of the limitation in the mind; for example, determining a predicted motion tendency and generating a predicted circumferential motion trajectory can performed by a human with pen and paper . The claim recites the limitation of obtaining the circumferential motion trajectories of the point locations based on the predicted circumferential motion trajectory and the current circumferential motion trajectory; wherein the circumferential motion trajectories comprise: the current circumferential motion trajectory and the predicted circumferential motion trajectory . This limitation, as drafted, is a process that, under its broadest reasonable interpretation, covers performance of the limitation in the mind; for example, obtaining the circumferential motion trajectories of the point locations can performed by a human with pen and paper . The claim recites the limitation of performing quaternion differentiation division on the motion tendency data in the current circumferential motion trajectory according to a quaternion parameter algorithm to obtain a quaternion differentiation-related operation posture matrix . This limitation, as drafted, is a process that, under its broadest reasonable interpretation, covers performance of the limitation in the mind; for example, performing quaternion differentiation division can performed by a human with pen and paper . The claim recites the limitation of performing component division on the vibration acceleration in the current time period in each axial direction in a three-dimensional space according to the operation posture matrix to obtain vibration vector coordinate data . This limitation, as drafted, is a process that, under its broadest reasonable interpretation, covers performance of the limitation in the mind; for example, performing component division can performed by a human with pen and paper . The claim recites the limitation of performing circumferential curve transient fitting on the vibration acceleration and the vibration vector coordinate data to obtain a transient fitting curve; and matching corresponding locations of the transient fitting curve based on a three-dimensional space where the wind power bearing holder is located . This limitation, as drafted, is a process that, under its broadest reasonable interpretation, covers performance of the limitation in the mind; for example, performing circumferential curve transient fitting and matching corresponding locations of the transient fitting curve based on a three-dimensional space can performed by a human with pen and paper . The claim recites the limitation of matching corresponding locations of the transient fitting curve based on a three-dimensional space where the wind power bearing holder is located . This limitation, as drafted, is a process that, under its broadest reasonable interpretation, covers performance of the limitation in the mind; for example, matching corresponding locations of the transient fitting curve based on a three-dimensional space where the wind power bearing holder is located can performed by a human with pen and paper . The claim recites the limitation of determining an instantaneous vibration circumferential trajectory in the current time period . This limitation, as drafted, is a process that, under its broadest reasonable interpretation, covers performance of the limitation in the mind; for example, determining an instantaneous vibration circumferential trajectory can performed by a human with pen and paper . The claim recites the limitation generating a corresponding ideal circumferential spatial region and a corresponding predicted circumferential spatial region for the ideal circumferential motion trajectory and the predicted circumferential motion trajectory, respectively . This limitation, as drafted, is a process that, under its broadest reasonable interpretation, covers performance of the limitation in the mind; for example, generating a corresponding ideal circumferential spatial region and a corresponding predicted circumferential spatial region for the ideal circumferential motion trajectory and the predicted circumferential motion trajectory, respectively can performed by a human with pen and paper . The claim recites the limitation of comparing locations of spatial region probability centroids between the ideal circumferential spatial region and the predicted circumferential spatial region to obtain a predicted coincided spatial region . This limitation, as drafted, is a process that, under its broadest reasonable interpretation, covers performance of the limitation in the mind; for example, comparing locations of spatial region probability can performed by a human with pen and paper . The claim recites the limitation generating a first spiral cylinder corresponding to the ideal circumferential spatial region and a second spiral cylinder corresponding to the predicted circumferential spatial region . This limitation, as drafted, is a process that, under its broadest reasonable interpretation, covers performance of the limitation in the mind; for example, generating a first spiral cylinder corresponding to the ideal circumferential spatial region and a second spiral cylinder corresponding to the predicted circumferential spatial region can performed by a human with pen and paper . The claim recites the limitation of locating a centroid of the first spiral cylinder in the point location distribution plane region via the probability density function to obtain first centroid location information of the first spiral cylinder; This limitation, as drafted, is a process that, under its broadest reasonable interpretation, covers performance of the limitation in the mind; for example, locating a centroid a spiral cylinder in the point location distribution plane region can performed by a human with pen and paper . The claim recites the limitation of locating a centroid of the second spiral cylinder in the point location distribution plane region to obtain second centroid location information of the second spiral cylinder . This limitation, as drafted, is a process that, under its broadest reasonable interpretation, covers performance of the limitation in the mind; for example, locating a centroid a spiral cylinder in the point location distribution plane region can performed by a human with pen and paper . The claim recites the limitation of performing a three-dimensional spatial coincidence comparison in a same time domain and a same space domain between the first spiral cylinder and the second spiral cylinder according to the first centroid location information and the second centroid location info rm ation . This limitation, as drafted, is a process that, under its broadest reasonable interpretation, covers performance of the limitation in the mind; for example, performing a three-dimensional spatial coincidence comparison can performed by a human with pen and paper . The claim recites the limitation of determining a predicted coincided spatial region coinciding with the first spiral cylinder and the second spiral cylinder . This limitation, as drafted, is a process that, under its broadest reasonable interpretation, covers performance of the limitation in the mind; for example, determining a predicted coincided spatial region can performed by a human with pen and paper . The claim recites the limitation of determining whether there is an abnormality in operation of the wind power bearing holder according to the predicted coincided spatial region to obtain operation monitoring information of the wind power bearing . This limitation, as drafted, is a process that, under its broadest reasonable interpretation, covers performance of the limitation in the mind; for example, determining whether there is an abnormality in operation of the wind power bearing holder can performed by a human with pen and paper . The claim recites the limitation of determining a third spiral cylinder related to an actual circumferential spatial region according to an actual circumferential motion trajectory corresponding to the next time period; wherein the actual circumferential motion trajectory is a point location circumferential motion trajectory in the next time period of the ideal circumferential motion trajectory . This limitation, as drafted, is a process that, under its broadest reasonable interpretation, covers performance of the limitation in the mind; for example, determining a third spiral cylinder related to an actual circumferential spatial region can performed by a human with pen and paper . The claim recites the limitation of locating a centroid of the third spiral cylinder in the point location distribution plane region to obtain third centroid location information of the third spiral cylinder . This limitation, as drafted, is a process that, under its broadest reasonable interpretation, covers performance of the limitation in the mind; for example, locating a centroid of the third spiral cylinder in the point location distribution plane region can performed by a human with pen and paper . The claim recites the limitation of performing three-dimensional spatial coincidence comparison in a same time domain and a same spatial domain between the first spiral cylinder and the third spiral cylinder according to the third centroid location information to obtain a real coincided spatial region . This limitation, as drafted, is a process that, under its broadest reasonable interpretation, covers performance of the limitation in the mind; for example, performing three-dimensional spatial coincidence comparison in a same time domain and a same spatial domain can performed by a human with pen and paper . The claim recites the limitation of determining whether there is an abnormality in operation of the wind power bearing holder based on spatial region size determination information of the real coincided spatial region and the predicted coincided spatial region to obtain the operation monitoring information of the wind power bearing, to complete operation monitoring of the wind power generator . This limitation, as drafted, is a process that, under its broadest reasonable interpretation, covers performance of the limitation in the mind; for example, determining whether there is an abnormality can performed by a human with pen and paper . 2A - Prong 2: Integrated into a Practical Application? No . the following additional elements merely recites the words “apply it” (or an equivalent) with the abstract idea, or merely includes instructions to implement the abstract idea on a computer, or merely uses a computer as a tool to perform the abstract idea: wind power bearing holder, plurality of sensing chips and the vibration sensor. 2B: Claim provides an Inventive Concept? No . the following additional elements merely adds insignificant extra-solution activity to the abstract idea: performing multi-cluster head assisted tracking at multi-point locations on an operation state of the wind power bearing holder via a plurality of sensing chips preinstalled in the wind power bearing holder to obtain point location tracking information, further comprising: performing signal acquisition on the plurality of sensing chips in the wind power bearing holder via a signal acquisition apparatus in a wind power generator to determine whether the wind power bearing holder is in operation; wherein the plurality of sensing chips are embedded to be uniformly distributed in the wind power bearing holder to enable the wind power bearing holder to achieve a rotational balance; in a case that the wind power bearing holder is in operation, and determining signal transmitting nodes of a second sensing chip and a third sensing chip as adjacent cluster head nodes; wherein the second sensing chip and the third sensing chip are located at left and right adjacent positions of the first sensing chip, respectively; wherein the point location tracking information comprises: target coordinate data and corresponding acceleration data of all sensing chips in any time period; performing point location-related orthogonal covering on the point location tracking information, further comprising: performing point location sampling on the target coordinate data corresponding to each sensing chip in the point location tracking information in the current time period based on an orthogonal covering mechanism to obtain location data of multi-point locations related to the target coordinate data; calibrating signal strength of the location data of the multi-point locations through the sampled spatial region to obtain signal strength sequence numbers of the multi-point locations; generating a current circumferential motion trajectory based on the point location tracking information; performing point location-related motion vector correction and prediction on orthogonally covered point location tracking information to obtain circumferential motion trajectories of the point locations, further comprising: acquiring the orthogonally covered point location tracking information in the current time period; sampling the predicted target coordinate data at predicted point locations; acquiring an instantaneous vibration circumferential trajectory of the windpower bearing holder according to a vibration acceleration of the wind power bearing holder, further comprising: acquiring a vibration acceleration in the current time period by means of a vibration sensor in the wind power generator; performing irregular trajectory filtering processing on the current circumferential motion trajectory in the circumferential motion trajectories with the instantaneous vibration circumferential trajectory to obtain an ideal circumferential motion trajectory of the wind power bearing holder, further comprising: performing linear normalization processing on the instantaneous vibration circumferential trajectory and the current circumferential motion trajectory to obtain an instantaneous vibration circumferential curve and a current circumferential curve, respectively; wherein the instantaneous vibration circumferential curve and the current circumferential curve are both spiral circumferential curves; performing difference processing on corresponding coordinate points on the instantaneous vibration circumferential curve and the current circumferential curve to obtain distances of a plurality of coordinate points; and performing median processing on the distances of the plurality of coordinate points to obtain a vibration difference distance; performing curve correction on the current circumferential curve according to the vibration difference distance to obtain a corrected circumferential curve; and performing vector processing on the corrected circumferential curve according to the acceleration data of the current circumferential motion trajectory to determine a corrected circumferential motion trajectory; and filtering out irregular trajectories of the current circumferential motion trajectory within a predefined error range with the corrected circumferential motion trajectory to obtain the ideal circumferential motion trajectory of the wind power bearing holder; generating a corresponding ideal circumferential spatial region and a corresponding predicted circumferential spatial region for the ideal circumferential motion trajectory and the predicted circumferential motion trajectory, respectively ; further comprising: generating a first spiral cylinder corresponding to the ideal circumferential spatial region and a second spiral cylinder corresponding to the predicted circumferential spatial region, respectively, according to the ideal circumferential motion trajectory and the predicted circumferential motion trajectory; wherein the first spiral cylinder and the second spiral cylinder both contain location information of multi-point locations; acquiring location information of a first point location in the first spiral cylinder; acquiring a point location distribution plane region corresponding to the location information of the first point location according to a saliency of a probability distribution function; As noted previously, the claim as a whole merely describes how to generally “apply” the concept of monitoring operation of a wind power bearing holder ; all of which is done in a computer environment. Thus, even when viewed as a whole, nothing in the claim adds significantly more (i.e., an inventive concept) to the abstract idea. The claim is ineligible . Claim 2 is rejected under 35 U.S.C. 101 because the claimed invention is directed to a judicial exception (i.e., a law of nature, a natural phenomenon, or an abstract idea) without significantly more. Claim 2 depends on claim 1, therefore, it has the abstract idea and also has the routine and conventional structure above said claims. In addition, claim 2 is further recites the element(s) “ … wherein the determining point location tracking information for all sensing chips based on the auxiliary coordinate data and target coordinate data of the first sensing chip, further comprises: performing coordinate data-related weight value fusion on auxiliary coordinate data of the adjacent cluster head nodes and main coordinate data of the main cluster head node in the current time period to obtain the target coordinate data of the first sensing chip; determining the signal transmitting node of the first sensing chip as an adjacent cluster head node according to a grid structure of a predefined wireless sensor network (WSN), and determining the target coordinate data as adjacent coordinate data; minimizing an average spatial distance between coordinate data of a fourth sensing chip and the target coordinate data of the first sensing chip to obtain target coordinate data of the second sensing chip based on the coordinate data-related weight value fusion; wherein the fourth sensing chip and the first sensing chip are located in left and right adjacent positions of the second sensing chip; performing coordinate data-related weight value fusion on all the sensing chips, and determining target coordinate data of all the sensing chips; and acquiring acceleration data corresponding to the plurality of sensing chips in the current time period; and determining the point location tracking information of all the sensing chips based on the target coordinate data and corresponding acceleration data of all the sensing chips. ”, which is simply more calculations/mental-steps, value numbers, extra solution activities routine and/or conventional structure(s) previously known to the pertinent industry. Furthermore, Claim 2 does not include additional elements that are sufficient to amount to significantly more than the judicial exception because this limitation(s) is simply routine and conventional structures previously known to the pertinent industry that serve to generate the data to be processed by implementing the idea on a computer, and/or recitation of generic computer structure and also serve to perform generic computer functions that are well-understood routine, and conventional activities previously known to the pertinent industry. Claim 3 is rejected under 35 U.S.C. 101 because the claimed invention is directed to a judicial exception (i.e., a law of nature, a natural phenomenon, or an abstract idea) without significantly more. Claim 3 depends on claim 1, therefore, it has the abstract idea and also has the routine and conventional structure above said claims. In addition, claim 3 is further recites the element(s) A device for monitoring operation of a wind power bearing holder, comprising: at least one processor; and a memory in communication connection to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method for monitoring operation of a wind power bearing holder according to claims 1. ”, which are/is simply more calculations/mental-steps, value numbers, extra solution activities routine and/or conventional structure(s) previously known to the pertinent industry. Furthermore, Claim 3 does not include additional elements that are sufficient to amount to significantly more than the judicial exception because these/this limitation(s) are/is simply routine and conventional structures previously known to the pertinent industry that serve to generate the data to be processed by implementing the idea on a computer, and/or recitation of generic computer structure and also serve to perform generic computer functions that are well-understood routine, and conventional activities previously known to the pertinent industry. Claim 4 is rejected under 35 U.S.C. 101 because the claimed invention is directed to a judicial exception (i.e., a law of nature, a natural phenomenon, or an abstract idea) without significantly more. Claim 4 depends on claim 2 , which depends on claim 1, therefore, it has the abstract idea and also has the routine and conventional structure above said claims. In addition, claim 4 is further recites the element(s) “ A device for monitoring operation of a wind power bearing holder, comprising: at least one processor; and a memory in communication connection to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method for monitoring operation of a wind power bearing holder according to claim 2. ”, which are/is simply more calculations/mental-steps, value numbers, extra solution activities routine and/or conventional structure(s) previously known to the pertinent industry. Furthermore, Claim 4 does not include additional elements that are sufficient to amount to significantly more than the judicial exception because these/this limitation(s) are/is simply routine and conventional structures previously known to the pertinent industry that serve to generate the data to be processed by implementing the idea on a computer, and/or recitation of generic computer structure and also serve to perform generic computer functions that are well-understood routine, and conventional activities previously known to the pertinent industry. Conclusion The prior art made of record and not relied upon is considered pertinent to applicant’s disclosure. US 7677869 B2 ; Martinez De Lizarduy Romo; Maria Jose et al. is a Monitoring and data processing equipment for wind turbines and predictive maintenance system for wind power stations . Any inquiry concerning this communication or earlier communications from the examiner should be directed to FILLIN "Examiner name" \* MERGEFORMAT CARL F.R. TCHATCHOUANG whose telephone number is FILLIN "Phone number" \* MERGEFORMAT (571)272-3991 . The examiner can normally be reached FILLIN "Work Schedule?" \* MERGEFORMAT Monday - Friday 8:00am -5:00am . Examiner interviews are available via telephone, in-person, and video conferencing using a USPTO supplied web-based collaboration tool. To schedule an interview, applicant is encouraged to use the USPTO Automated Interview Request (AIR) at http://www.uspto.gov/interviewpractice. If attempts to reach the examiner by telephone are unsuccessful, the examiner’s supervisor, FILLIN "SPE Name?" \* MERGEFORMAT Huy Phan can be reached at FILLIN "SPE Phone?" \* MERGEFORMAT 571-272-7924 . The fax phone number for the organization where this application or proceeding is assigned is 571-273-8300. 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