CN-122002022-A - State monitoring method of engineering site security monitoring camera

CN122002022ACN 122002022 ACN122002022 ACN 122002022ACN-122002022-A

Abstract

The invention relates to the technical field of data processing, in particular to a state monitoring method of an engineering field security monitoring camera, which is used for solving the technical problem of insufficient accuracy of monitoring results of the security monitoring camera in the prior art, and comprises the steps of acquiring a vibration sequence and a rotating speed sequence of each period of the monitoring camera for engineering field security in a plurality of periods; the method comprises the steps of determining a stability coefficient and a stability index of a monitoring camera based on a vibration sequence and a rotating speed sequence, wherein the stability coefficient is used for representing local sudden change degree of rotating speed data, the stability index is used for representing abnormal degree of rotating speed data and vibration data in the same acquisition period, determining good confidence coefficient of the monitoring camera based on the stability coefficient and the stability index, representing state reliability of the monitoring camera based on the good confidence coefficient, and monitoring operation state of the monitoring camera based on the good confidence coefficient.

Inventors

Ren Xinxing
Jing Shizhai
ZHANG NIANCHUAN
Hu Mizhou
ZHOU TONG
ZHANG XIANGJING
REN JIAN
LIU QUNLING
ZHAO YANG

Assignees

北京谷榆科技有限公司

Dates

Publication Date: 20260508
Application Date: 20260409

Claims (10)

1. The method for monitoring the state of the engineering site security monitoring camera is characterized by comprising the following steps of: Acquiring a vibration sequence and a rotating speed sequence of a monitoring camera for engineering site security in each period; Determining a stability coefficient and a stability index of the monitoring camera based on the vibration sequence and the rotating speed sequence, wherein the stability coefficient is used for representing the local sudden change degree of the rotating speed data, and the stability index is used for representing the abnormal degree of the rotating speed data and the vibration data in the same acquisition period; Determining good confidence coefficient of the monitoring camera based on the stability coefficient and the stability index, wherein the good confidence coefficient is used for representing the state reliability of the monitoring camera; and monitoring the running state of the monitoring camera based on the good confidence.
2. The method for monitoring the state of an engineering field security monitoring camera according to claim 1, wherein determining the stability coefficient of the monitoring camera comprises: Determining a plurality of valley values in the rotating speed sequence, and determining a first difference value of rotating speed data of which the valley values are adjacent to each other in front and back according to each valley value, wherein the first difference value is used for representing the local change degree of the valley value; Determining front and rear outlier indexes of each valley based on the first difference value, wherein the front and rear outlier indexes are used for representing the significance degree of the front and rear differences of the valley in all the valleys; determining a local fluctuation index of each data point in the rotating speed sequence, and determining a fluctuation outlier index of each valley value according to the local fluctuation index, wherein the local fluctuation index is used for representing local fluctuation conditions at the data points; Determining a second difference value between the valley value and a minimum value in the rotational speed sequence, wherein the second difference value is used for representing the degree to which the valley value is close to the minimum value; And determining a stability coefficient of each valley according to the front-back outlier index, the fluctuation outlier index and the second difference value of each valley.
3. The method for monitoring the status of an on-site security monitoring camera according to claim 2, wherein the determining the local fluctuation index of each data point in the rotation speed sequence comprises: Establishing a window with a preset size by taking each data point as a center in the rotating speed sequence, wherein if the window exceeds the rotating speed sequence range, filling a part exceeding the rotating speed sequence range in the window by using the average value of the data in the window; And taking the variation coefficients of all the data points in the window as the local fluctuation index of the central data point.
4. The method for monitoring the state of an engineering field security monitoring camera according to claim 2, wherein determining the stability index of the monitoring camera based on the vibration sequence and the rotation speed sequence comprises: Determining, for each cycle, a peak outlier index of a plurality of peaks in the vibration sequence, the peak outlier index being used to characterize a local degree of abrupt change of a peak; Marking a peak value with a peak value outlier index being more than or equal to an outlier threshold as a target peak value; Determining a time difference index according to a target valley value in the rotating speed sequence and a target peak value in the vibration sequence, wherein the time difference index is used for representing synchronicity of the target valley value and the target peak value in appearance time, and the target valley value is a valley value with a stability coefficient smaller than or equal to a stability threshold value; Determining an extremum abrupt change index according to the stable coefficients of the target valley value and other valley values and the peak value outlier indexes of the target peak value and other peak values, wherein the extremum abrupt change index is used for representing fluctuation consistency between a target extremum and the rest extremum; Determining an extremum interval fluctuation index according to the occurrence interval of the valley value in the rotating speed sequence and the occurrence interval of the peak value in the vibration sequence, wherein the extremum interval fluctuation index is used for representing the stability of the extremum occurrence interval; and determining the stability index of each period according to the time difference index, the extreme value abrupt change index and the extreme value interval fluctuation index.
5. The method for monitoring the status of an engineering field security monitoring camera according to claim 4, wherein determining peak outliers of a plurality of peaks in the vibration sequence comprises: Determining a plurality of peaks in the vibration sequence; for each peak value, determining a third difference value of vibration data of the peak value and the front-back adjacent vibration data, wherein the third difference value is used for representing the local change degree at the peak value; determining a front-to-back outlier index for each peak based on the third difference value, the front-to-back outlier index being used to characterize how significant the front-to-back difference of peaks is in all peaks; determining a local fluctuation index of each data point in the vibration sequence, wherein the local fluctuation index is used for representing local fluctuation conditions at the data points; Determining a fluctuation outlier index of each peak value according to the local fluctuation index, wherein the fluctuation outlier index is used for representing the difference degree of the local fluctuation of the peak value and the average local fluctuation of the sequence; and determining the peak outlier index of each peak according to the front-back outlier index and the fluctuation outlier index of each peak.
6. The method for monitoring the state of an engineering field security monitoring camera according to claim 4, wherein determining the time difference index according to the target valley value in the rotation speed sequence and the target peak value in the vibration sequence comprises: constructing a target valley bit sequence according to the bit sequence of the target valley in the rotating speed sequence; Constructing a target peak value bit sequence according to the bit sequence of the target peak value in the vibration sequence; And taking the sequence distance between the target valley sequence and the target peak sequence as a time difference index.
7. The method for monitoring the state of an engineering field security monitoring camera according to claim 1, wherein the determining the good confidence of the monitoring camera based on the stability factor and the stability index comprises: clustering the stable indexes of the periods to obtain a plurality of clusters, and determining a standard cluster in the clusters, wherein the standard cluster is the cluster with the largest mean value and the largest number of elements; Determining periods except for the period corresponding to the standard cluster in the plurality of periods as detection periods; Constructing a detection sequence according to the acquisition time sequence of the detection period, and constructing a detection stable sequence according to the stability index of the detection period; Determining an intermittent acquisition index according to the detection bit sequence, wherein the intermittent acquisition index is used for representing the regularity of a detection period in acquisition time; Determining a change coefficient according to the detection stability sequence, wherein the change coefficient is used for representing the change trend of the stability index in the detection period; And determining the good confidence coefficient according to the element mean value of the detection stable sequence, the intermittent acquisition index and the change coefficient.
8. The method for monitoring the status of an on-site security monitoring camera according to claim 7, wherein determining the intermittent acquisition index according to the sequence of detection bit sequences comprises: And calculating a second-order differential sequence of the detection bit sequence, and taking the mean absolute value of the second-order differential sequence as the intermittent acquisition index.
9. The method for monitoring the state of an engineering field security monitoring camera according to claim 7, wherein determining the change coefficient according to the detection stability sequence comprises: and taking the absolute value of the slope of the fitted straight line as the change coefficient.
10. The method for monitoring the state of an engineering field security monitoring camera according to claim 1, wherein the monitoring the operation state of the monitoring camera based on the good confidence comprises: Normalizing the good confidence coefficient; Comparing the normalized good confidence coefficient with a preset threshold value; If the normalized good confidence coefficient is greater than or equal to a preset threshold value, determining that the monitoring camera is good in state; And if the normalized good confidence coefficient is smaller than a preset threshold value, determining that the state of the monitoring camera is abnormal.

Description

State monitoring method of engineering site security monitoring camera Technical Field The invention relates to the technical field of data processing, in particular to a state monitoring method of an engineering site security monitoring camera. Background Currently, security monitoring and border patrol can be performed by installing security monitoring cameras on an engineering site. However, since the security monitoring camera is deployed in an outdoor environment for a long time, mechanical parts of the security monitoring camera are easy to degrade in running state due to environmental erosion and mechanical abrasion in the continuous rotation process, and stability of a shot picture and effectiveness of monitoring are affected. Therefore, the operation state of the security monitoring camera needs to be monitored in real time to ensure that the security monitoring camera is in a normal operation state. In the related art, when the state of the security monitoring camera is monitored, the state is generally independently analyzed based on a single operation parameter of the camera, such as a rotation speed or a vibration amplitude, and an abnormality is identified by setting a fixed threshold or simply judging a trend. In complex and changeable engineering sites, the intrinsic correlation among the operation parameters of the equipment and the influence of the disturbance of the complex environment cannot be comprehensively considered, so that the accuracy of the monitoring result of the security monitoring camera is insufficient. Disclosure of Invention In order to solve the technical problem of insufficient accuracy of monitoring results of a security monitoring camera in the prior art, the invention aims to provide a state monitoring method of an engineering site security monitoring camera, which adopts the following specific technical scheme: Acquiring a vibration sequence and a rotating speed sequence of a monitoring camera for engineering site security in each period; Determining a stability coefficient and a stability index of the monitoring camera based on the vibration sequence and the rotating speed sequence, wherein the stability coefficient is used for representing the local sudden change degree of the rotating speed data, and the stability index is used for representing the abnormal degree of the rotating speed data and the vibration data in the same acquisition period; Determining good confidence coefficient of the monitoring camera based on the stability coefficient and the stability index, wherein the good confidence coefficient is used for representing the state reliability of the monitoring camera; and monitoring the running state of the monitoring camera based on the good confidence. In one possible implementation, the method further comprises determining a plurality of troughs in the rotational speed sequence, determining a first difference value of rotational speed data of which the troughs are adjacent to each other before and after each other, wherein the first difference value is used for representing local variation degree of the rotational speed data at the troughs, determining a front and rear outlier index of each trough based on the first difference value, wherein the front and rear outlier index is used for representing the significance degree of the front and rear differences of the troughs in all the troughs, determining a local fluctuation index of each data point in the rotational speed sequence, determining a fluctuation outlier index of each trough according to the local fluctuation index, wherein the local fluctuation index is used for representing local fluctuation condition of the data point, determining a second difference value of the trough and a minimum value in the rotational speed sequence, wherein the second difference value is used for representing the approximation degree of the trough, and determining a stable fluctuation coefficient according to the front and rear outlier of each trough, the second fluctuation index and the second fluctuation index. In a possible implementation manner, the method further comprises the steps of constructing a window with a preset size by taking each data point as a center in the rotating speed sequence, filling a part exceeding the rotating speed sequence range in the window by using the average value of data in the window if the window exceeds the rotating speed sequence range, and taking the variation coefficient of all the data points in the window as the local fluctuation index of the center data point. In one possible implementation, the method further comprises determining, for each cycle, peak outlier indexes of a plurality of peaks in the vibration sequence, wherein the peak outlier indexes are used for representing local abrupt changes of the peaks, marking the peaks with peak outliers greater than or equal to an outlier threshold as target peaks, determining time difference indexes according to target valley v