Substation monitoring system based on video processing
By designing data collection, analysis and privacy maintenance modules in the substation monitoring system to match user permissions and scope, the problems of cumbersome search and insufficient privacy protection are solved, and efficient video data management and privacy protection are achieved.
Patent Information
- Application Number
- CN202411141807.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-08-20
- Publication Date
- 2024-12-13
AI Technical Summary
The existing video processing-based substation monitoring system is cumbersome and lacks privacy protection when retrieving videos, resulting in high risk of data leakage.
A system including data acquisition module, user information analysis module, video data analysis module, privacy maintenance module, execution module, user terminal and database was designed. By analyzing user identity and video data, matching user permissions and scope, and generating Open instructions for video data to ensure data privacy protection and improve retrieval efficiency.
It realizes more convenient video retrieval and data privacy protection, reduces the risk of data leakage and improves work efficiency.
Smart Images
Figure CN119134642A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of electric power monitoring systems, and in particular to a substation monitoring system based on video processing. Background Art
[0002] A substation is a place in the power system that transforms voltage and current, receives electric energy, and distributes electric energy. The substation in a power plant is a step-up substation, which boosts the voltage of the electric energy generated by the generator and feeds it into the high-voltage power grid. With the continuous advancement of technology and the expansion of application scenarios, power monitoring technology will play a more important role in the power industry.
[0003] When retrieving videos in the current substation monitoring system based on video processing, users need to search and view them in sequence according to the date and monitoring number before they can retrieve the equipment monitoring video they need, and then view and analyze the video. Therefore, the retrieval is cumbersome, which reduces work efficiency, and there is no privacy protection for video data, so some private data is easily leaked. Summary of the invention
[0004] The present invention provides a substation monitoring system based on video processing, which is used to solve the above technical problems.
[0005] A first aspect of the present invention provides a substation monitoring system based on video processing, including a data acquisition module, a user information analysis module, a video data analysis module, a privacy maintenance module, an execution module, a user terminal and a database.
[0006] The data acquisition module is used to collect user identity information and video data parameters, and send the user identity information and video data parameters to the database; collect the user's registration information and user identity information through the user terminal; the registration information includes name, ID number, mobile phone number, address and facial features; the user identity information includes user rank, user identity and user job responsibilities; obtain the video data parameters of each device in the substation through the temperature and humidity camera, and the video data parameters include equipment characteristic information, operation characteristic information and personnel characteristic information.
[0007] The user information analysis module is used to obtain the user information of each user and analyze the user information of each user to obtain the access authority and scope of each user, and send the access authority and scope corresponding to each user to the database.
[0008] As a further improvement of the present invention, the user identity information of each user is analyzed, and the specific analysis method is as follows: Obtain the registration information and user identity information of each user, obtain the user identity information corresponding to the registration information of each user by identifying the registration information of each user, analyze the user identity information, and number the rank of each user to obtain the rank number of each user, wherein the rank number is a continuous natural number.
[0009] Obtain the user identity corresponding to each user, which includes administrator, ordinary user, visitor and special user; extract the user job responsibilities corresponding to each user identity in the database, which include data query, data analysis, data management and data operation; match each user's job grade number with the user identity to obtain the user identity corresponding to each user's job grade, and match the user job responsibilities corresponding to each user identity according to the user identity of each user.
[0010] If the user's corresponding user rank number is 1, the user rank number is matched as a visitor. When the user is a visitor, the corresponding job responsibility information is matched according to the user's user identity; similarly, if the user's corresponding user rank number is 2, the user rank number is matched as an ordinary user. When the user is an ordinary user, the corresponding job responsibility information is matched according to the user's user identity; among them, if the user's corresponding user rank number is 0, the user rank number is matched as a special user. When the user is a special user, the corresponding job responsibility matched according to the user's user identity should be set according to actual needs. For example, special users include but are not limited to auditors, data scientists and technical support personnel.
[0011] The video data analysis module is used to obtain video data parameters and analyze the video data parameters to obtain video feature identification information corresponding to each video data parameter, and analyze the video feature identification information to obtain video category information corresponding to each video data parameter, and send the video category information to the database.
[0012] As a further improvement of the present invention, the video data parameters are analyzed, and the specific analysis method is as follows: Obtain device characteristics corresponding to the video data parameters, including device-specific identification information, device location information, and device appearance information; obtain the device-specific identification corresponding to each substation device in the database, match the currently collected device-specific identification information with the device-specific identification corresponding to each substation device, and obtain the substation equipment number corresponding to the video data parameters.
[0013] Obtain operation characteristic information corresponding to the video data parameters, the operation characteristic information including indicator light status, equipment switch opening and closing status and environmental status; obtain a preset unit time, segment the video data parameters according to the unit time, obtain the indicator light status corresponding to the video data parameters in each unit time period, and compare the indicator light status corresponding to the video data parameters in the current unit time with the indicator light status corresponding to the video data parameters in the previous unit time to obtain the number of abnormal indicator lights; add the number of abnormal indicator lights in each unit time to obtain the total value of indicator light abnormality; similarly, obtain the total value of switch opening and closing abnormality in each unit time.
[0014] The environmental state corresponding to the operation characteristic information is obtained, and the environmental state includes smoke conditions, temperature and humidity; each smoke condition corresponding to the operation environment characteristic is identified to obtain the smoke color corresponding to each smoke condition, and the historical smoke conditions in the database are extracted, and the current smoke color is matched with each historical smoke condition to obtain the smoke generation category corresponding to the current smoke condition, which is recorded as n, and the value of n is 0 or 1; if the smoke generation category corresponding to the current smoke condition is normal, n=0; otherwise, if the smoke generation category corresponding to the current smoke condition is abnormal, n=1; the smoke range size corresponding to the smoke condition during the abnormality is obtained, and the smoke volume is obtained through the smoke range size, and a pre-set smoke volume threshold is obtained, and the smoke volume of the smoke condition corresponding to the current abnormality is compared with the smoke volume threshold, and the smoke volume portion exceeding the smoke volume threshold is used as the smoke impact value.
[0015] Obtain each temperature corresponding to the operating environment, obtain the preset temperature standard value, compare each temperature corresponding to the current operating environment with the temperature standard value to obtain the operating temperature difference, set the temperature difference interval, match the operating temperature difference corresponding to each temperature of the current ambient temperature with the temperature difference interval, record the temperature exceeding the operating temperature difference interval as abnormal temperature, add and calculate the sum of each abnormal temperature and record it as the total value of abnormal temperature impact; similarly, obtain each humidity corresponding to the operating environment, and obtain the total value of abnormal humidity impact corresponding to each humidity corresponding to the operating environment; normalize the smoke impact value, the total value of abnormal temperature impact and the total value of abnormal humidity impact and take their values, according to the formula The total environmental impact value IC is obtained; YW, T and S represent the smoke impact value, the total abnormal temperature impact value and the total abnormal humidity impact value respectively; a1, a2 and a3 are all preset weight factors, and the values are 0.53, 0.24 and 0.13 respectively.
[0016] An ellipse is constructed with the total abnormal values of the indicator light and the total abnormal values of the switch opening and closing as the major and minor axes of the ellipse. The center of the ellipse is taken as the starting point, and a straight line perpendicular to the ellipse is drawn, and the value of the straight line length is equal to the total environmental impact value. A cone is then constructed with the ellipse and the straight line, and the volume of the cone is calculated and the value of the volume is marked as the environmental abnormality value. Multiple environmental abnormality value ranges are set, and the current environmental abnormality value is matched with multiple environmental abnormality value ranges to obtain the environmental abnormality value range corresponding to the environmental abnormality value.
[0017] Analyze the personnel feature information corresponding to the video data parameters, identify the number of personnel corresponding to each device area corresponding to the video data parameters, obtain the standard number of personnel corresponding to each device area for each monitoring period, compare the number of personnel corresponding to each device area corresponding to the current video data parameters with the standard number of personnel corresponding to each device area for each monitoring period, obtain the personnel difference corresponding to each device area, identify the facial features of each person in the device area corresponding to the personnel difference, match the facial features of each person in the device area corresponding to the personnel difference with the personnel identity information stored in the database, and when the facial features of each person in the device area cannot match the personnel identity information stored in the database, the corresponding person will be recorded as an abnormal person.
[0018] The equipment characteristics, operation characteristic information and personnel characteristic information are integrated to obtain the video feature recognition information.
[0019] As a further improvement of the present invention, the video feature recognition information is analyzed, and the specific analysis method is as follows: Obtain device features, operation feature information, and personnel feature information corresponding to the video feature identification information, match the video feature identification information corresponding to each video data parameter with the device features, operation feature information, and personnel feature information, obtain feature information corresponding to each video data parameter, and use the feature information corresponding to each video data parameter as video category information.
[0020] The privacy identification and maintenance module is used to obtain the video category information corresponding to each video data, and match and associate the video category information with the user permissions and scopes, obtain the video category information corresponding to each user's permissions and scopes, and generate each user's video data opening instructions according to the video categories corresponding to each user's permissions and scopes, and send each user's video data instructions to the database.
[0021] The execution module is used to extract the user video data opening instruction and analyze the user video data opening instruction to obtain the corresponding execution operation.
[0022] The user end is used to collect user registration information and obtain the user identity information of each user, and to open corresponding operation permissions to each user.
[0023] The database is used to store user identity information and video data parameters, store access rights and scopes corresponding to each user, and store video category information corresponding to each video data parameter.
[0024] Compared with the prior art, the technical solution provided by the present invention has the following beneficial effects: 1. The present invention obtains video feature identification information corresponding to each video data parameter by analyzing the video data parameters, and obtains video category information corresponding to each video data parameter by analyzing the video feature identification information. The video data is divided according to the video category information, and the optional items for user retrieval are increased, so that the user can more specifically retrieve the required video, which increases the convenience of retrieval.
[0025] 2. The present invention obtains the access rights and access scope of each user by analyzing the user identity, opens the corresponding data content to each user according to the access rights and access scope of each user, and obtains the video category information corresponding to the permissions and scope of each user by matching and associating the video category information with the user permissions and scope, and opens the corresponding user video data opening instruction, thereby increasing the privacy protection of video data and avoiding losses caused by data leakage in substations. BRIEF DESCRIPTION OF THE DRAWINGS
[0026] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following briefly introduces the drawings required for use in the description of the embodiments. The following drawings are not intentionally scaled to the actual size, and the focus is on illustrating the main purpose of the present application.
[0027] Figure 1 It is a principle block diagram of the present invention. DETAILED DESCRIPTION
[0028] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0029] For ease of understanding, the specific process of the embodiment of the present invention is described below. Figure 1 In an embodiment of the present invention, an embodiment of a substation monitoring system based on video processing includes: a data acquisition module, a user information analysis module, a video data analysis module, a privacy maintenance module, an execution module, a user terminal and a database.
[0030] The data acquisition module collects user identity information and video data parameters, and sends the user identity information and video data parameters to the database; collects user registration information and user identity information through the user terminal; the registration information includes name, ID number, mobile phone number, address and facial features; user identity information includes user rank, user identity and user job responsibilities; obtains video data parameters of each device in the substation through the temperature and humidity camera, and the video data parameters include equipment characteristic information, operation characteristic information and personnel characteristic information.
[0031] The user information analysis module obtains the user information of each user and analyzes the user information of each user to obtain the access authority and scope of each user, and sends the access authority and scope corresponding to each user to the database.
[0032] The user identity information of each user is analyzed, and the specific analysis method is as follows: Obtain the registration information and user identity information of each user, obtain the user identity information corresponding to the registration information of each user by identifying the registration information of each user, analyze the user identity information, and number the rank of each user to obtain the rank number of each user, wherein the rank number is a continuous natural number.
[0033] Obtain the user identity corresponding to each user, which includes administrator, ordinary user, visitor and special user; extract the user job responsibilities corresponding to each user identity in the database, which include data query, data analysis, data management and data operation; match each user's job grade number with the user identity to obtain the user identity corresponding to each user's job grade, and match the user job responsibilities corresponding to each user identity according to the user identity of each user.
[0034] If the user's corresponding user rank number is 1, the user rank number is matched as a visitor. When the user is a visitor, the corresponding job responsibility information is matched according to the user's user identity; similarly, if the user's corresponding user rank number is 2, the user rank number is matched as an ordinary user. When the user is an ordinary user, the corresponding job responsibility information is matched according to the user's user identity; among them, if the user's corresponding user rank number is 0, the user rank number is matched as a special user. When the user is a special user, the corresponding job responsibility matched according to the user's user identity should be set according to actual needs. For example, special users include but are not limited to auditors, data scientists and technical support personnel.
[0035] The video data analysis module is used to obtain video data parameters and analyze the video data parameters to obtain video feature identification information corresponding to each video data parameter, and analyze the video feature identification information to obtain video category information corresponding to each video data parameter, and send the video category information to the database.
[0036] The video data parameters are analyzed in the following specific way: Obtain device characteristics corresponding to the video data parameters, including device-specific identification information, device location information, and device appearance information; obtain the device-specific identification corresponding to each substation device in the database, match the currently collected device-specific identification information with the device-specific identification corresponding to each substation device, and obtain the substation equipment number corresponding to the video data parameters.
[0037] Obtain operation characteristic information corresponding to the video data parameters, the operation characteristic information including indicator light status, equipment switch opening and closing status and environmental status; obtain a preset unit time, segment the video data parameters according to the unit time, obtain the indicator light status corresponding to the video data parameters in each unit time period, and compare the indicator light status corresponding to the video data parameters in the current unit time with the indicator light status corresponding to the video data parameters in the previous unit time to obtain the number of abnormal indicator lights; add the number of abnormal indicator lights in each unit time to obtain the total value of indicator light abnormality; similarly, obtain the total value of switch opening and closing abnormality in each unit time.
[0038] The environmental state corresponding to the operation characteristic information is obtained, and the environmental state includes smoke conditions, temperature and humidity; each smoke condition corresponding to the operation environment characteristic is identified to obtain the smoke color corresponding to each smoke condition, and the historical smoke conditions in the database are extracted, and the current smoke color is matched with each historical smoke condition to obtain the smoke generation category corresponding to the current smoke condition, which is recorded as n, and the value of n is 0 or 1; if the smoke generation category corresponding to the current smoke condition is normal, n=0; otherwise, if the smoke generation category corresponding to the current smoke condition is abnormal, n=1; the smoke range size corresponding to the smoke condition during the abnormality is obtained, and the smoke volume is obtained through the smoke range size, and a pre-set smoke volume threshold is obtained, and the smoke volume of the smoke condition corresponding to the current abnormality is compared with the smoke volume threshold, and the smoke volume portion exceeding the smoke volume threshold is used as the smoke impact value.
[0039] Obtain each temperature corresponding to the operating environment, obtain the preset temperature standard value, compare each temperature corresponding to the current operating environment with the temperature standard value to obtain the operating temperature difference, set the temperature difference interval, match the operating temperature difference corresponding to each temperature of the current ambient temperature with the temperature difference interval, record the temperature exceeding the operating temperature difference interval as abnormal temperature, add and calculate the sum of each abnormal temperature and record it as the total value of abnormal temperature impact; similarly, obtain each humidity corresponding to the operating environment, and obtain the total value of abnormal humidity impact corresponding to each humidity corresponding to the operating environment; normalize the smoke impact value, the total value of abnormal temperature impact and the total value of abnormal humidity impact and take their values, according to the formula The total environmental impact value IC is obtained; YW, T and S represent the smoke impact value, the total abnormal temperature impact value and the total abnormal humidity impact value respectively; a1, a2 and a3 are all preset weight factors, and the values are 0.53, 0.24 and 0.13 respectively.
[0040] An ellipse is constructed with the total abnormal values of the indicator light and the total abnormal values of the switch opening and closing as the major and minor axes of the ellipse. The center of the ellipse is taken as the starting point, and a straight line perpendicular to the ellipse is drawn, and the value of the straight line length is equal to the total environmental impact value. A cone is then constructed with the ellipse and the straight line, and the volume of the cone is calculated and the value of the volume is marked as the environmental abnormality value. Multiple environmental abnormality value ranges are set, and the current environmental abnormality value is matched with multiple environmental abnormality value ranges to obtain the environmental abnormality value range corresponding to the environmental abnormality value.
[0041] Analyze the personnel feature information corresponding to the video data parameters, identify the number of personnel corresponding to each device area corresponding to the video data parameters, obtain the standard number of personnel corresponding to each device area for each monitoring period, compare the number of personnel corresponding to each device area corresponding to the current video data parameters with the standard number of personnel corresponding to each device area for each monitoring period, obtain the personnel difference corresponding to each device area, identify the facial features of each person in the device area corresponding to the personnel difference, match the facial features of each person in the device area corresponding to the personnel difference with the personnel identity information stored in the database, and when the facial features of each person in the device area cannot match the personnel identity information stored in the database, the corresponding person will be recorded as an abnormal person.
[0042] The equipment characteristics, operation characteristic information and personnel characteristic information are integrated to obtain the video feature recognition information.
[0043] The video feature recognition information is analyzed in the following specific way: Obtain device features, operation feature information, and personnel feature information corresponding to the video feature identification information, match the video feature identification information corresponding to each video data parameter with the device features, operation feature information, and personnel feature information, obtain feature information corresponding to each video data parameter, and use the feature information corresponding to each video data parameter as video category information.
[0044] The privacy identification and maintenance module obtains the video category information corresponding to each video data, and matches and associates the video category information with the user permissions and scopes, obtains the video category information corresponding to each user's permissions and scopes, and generates each user's video data opening instruction according to the video category corresponding to each user's permissions and scopes, and sends each user's video data instruction to the database.
[0045] The execution module extracts the user video data opening instruction and analyzes the user video data opening instruction to obtain the corresponding execution operation; if the user's identity corresponds to an ordinary user, the corresponding job responsibility information of the ordinary user is obtained and the job responsibilities opened for the user are data query and data analysis.
[0046] The user end collects user registration information and obtains the user identity information of each user, and is used to open corresponding operation permissions to each user.
[0047] The database stores user identity information and video data parameters, stores access rights and scopes corresponding to each user, and stores video category information corresponding to each video data parameter.
[0048] As described above, the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features thereof may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims
1. A substation monitoring system based on video processing, comprising a data acquisition module, an execution module, a user terminal and a database, characterized in that: Also includes: A user information analysis module is used to obtain user information of each user and analyze the user information of each user to obtain the access rights and scope of each user, and send the access rights and scope corresponding to each user to the database; The video data analysis module is used to obtain video data parameters and analyze the video data parameters to obtain video feature identification information corresponding to each video data parameter, and analyze the video feature identification information to obtain video category information corresponding to each video data parameter, and send the video category information to the database; the specific process of analyzing the video data parameters is: Obtain the device characteristics corresponding to the video data parameters and the device-specific identification corresponding to each substation device in the database, match the currently collected device-specific identification information with the device-specific identification corresponding to each substation device, and obtain the substation device number corresponding to the video data parameters; Obtain the operation characteristic information corresponding to the video data parameters and the pre-set unit time, segment the video data parameters according to the unit time, obtain the indicator light status corresponding to the video data parameters in each unit time period, and compare the indicator light status corresponding to the video data parameters in the current unit time with the indicator light status corresponding to the video data parameters in the previous unit time to obtain the number of abnormal indicator lights; add the number of abnormal indicator lights in each unit time to obtain the total abnormal value of the indicator lights; Similarly, the total value of the abnormal opening and closing of the switch in each unit time is obtained; Obtain the environmental state corresponding to the operating characteristic information, identify and analyze each smoke condition corresponding to the operating environment characteristic to obtain the smoke impact value; Obtain and analyze the temperatures corresponding to the operating environment to obtain the total value of environmental impact; An ellipse is constructed with the values of the total abnormal value of the indicator light and the total abnormal value of the switch opening and closing as the major and minor axes of the ellipse. The center of the ellipse is used as the starting point, and a straight line perpendicular to the ellipse is drawn, and the value of the length of the straight line is equal to the total environmental impact value. A cone is then constructed with the ellipse and the straight line, and the volume of the cone is calculated and the value of the volume is marked as the environmental abnormality value; multiple environmental abnormality value ranges are set, and the current environmental abnormality value is matched with multiple environmental abnormality value ranges to obtain the environmental abnormality value range corresponding to the environmental abnormality value; The device characteristics, operation characteristic information and personnel characteristic information are integrated to obtain the video characteristic recognition information; The privacy identification and maintenance module is used to obtain the video category information corresponding to each video data, and match and associate the video category information with the user authority and range, obtain the video category information corresponding to each user authority and range, and generate each according to the video category corresponding to each user authority and range, and send each user video data instruction to the database; The device characteristics include device-specific identification information, device location information, and device appearance information; Operation characteristic information includes indicator light status, equipment switch opening and closing status and environmental status; environmental status includes smoke conditions, temperature and humidity; The specific process of obtaining the smoke impact value is as follows: identify each smoke condition corresponding to the operating environment characteristics, obtain the smoke color corresponding to each smoke condition, extract the historical smoke conditions in the database, match the current smoke color with each historical smoke condition, and obtain the smoke generation category corresponding to the current smoke condition, denoted as n, where the value of n is 0 or 1; if the smoke generation category corresponding to the current smoke condition is normal, n=0; On the contrary, if the smoke generation category corresponding to the current smoke situation is abnormal, n=1; the smoke range size corresponding to the smoke situation when abnormal is obtained, the smoke volume is obtained through the smoke range size, and a preset smoke volume threshold is obtained, the smoke volume of the smoke situation corresponding to the current abnormality is compared with the smoke volume threshold, and the smoke volume portion exceeding the smoke volume threshold is used as the smoke impact value; The specific process of obtaining the total environmental impact value is as follows: obtain the preset temperature standard value, compare the temperatures corresponding to the current operating environment with the temperature standard value to obtain the operating temperature difference, set the temperature difference interval, match the operating temperature difference corresponding to the current ambient temperature with the temperature difference interval, record the temperature exceeding the operating temperature difference interval as abnormal temperature, add and calculate the sum of the abnormal temperatures and record it as the total abnormal temperature impact value; similarly, obtain the humidity corresponding to the operating environment to obtain the total abnormal humidity impact value corresponding to the humidity corresponding to the operating environment; normalize the smoke impact value, the total abnormal temperature impact value and the total abnormal humidity impact value and take their values, according to the formula The total environmental impact value IC is obtained; wherein YW, T and S represent the smoke impact value, the total abnormal temperature impact value and the total abnormal humidity impact value respectively; a1, a2 and a3 are all preset weight factors.
2. A substation monitoring system based on video processing according to claim 1, characterized in that: The data acquisition module is used to collect user identity information and video data parameters, and send the user identity information and video data parameters to the database; collect user registration information and user identity information through the user terminal; user identity information includes user rank, user identity and user job responsibilities; obtain video data parameters of each device in the substation through the temperature and humidity camera, and the video data parameters include equipment characteristic information, operation characteristic information and personnel characteristic information.
3. A substation monitoring system based on video processing according to claim 1, characterized in that: The user identity information of each user is analyzed in the following specific analysis method: Obtaining the registration information and user identity information of each user, obtaining the user identity information corresponding to the registration information of each user by identifying the registration information of each user, analyzing the user identity information, and numbering the job level of each user to obtain the job level number of each user, wherein the job level number is a continuous natural number; Obtain the user identity corresponding to each user, including administrator, common user, visitor and special user; extract the user job responsibilities corresponding to each user identity in the database, including data query, data analysis, data management and data operation; match each user's rank number with the user identity to obtain the user identity corresponding to each user rank, and match the user job responsibilities corresponding to each user identity according to the user identity of each user; If the user's corresponding user grade number is 1, the user grade number is matched as a visitor. When the user is a visitor, the corresponding job responsibility information is matched according to the user's user identity; similarly, if the user's corresponding user grade number is 2, the user grade number is matched as an ordinary user. When the user is an ordinary user, the corresponding job responsibility information is matched according to the user's user identity; among them, if the user's corresponding user grade number is 0, the user grade number is matched as a special user. When the user is a special user, the corresponding job responsibility matched according to the user's user identity should be set according to actual needs.
4. A substation monitoring system based on video processing according to claim 1, characterized in that: Analyze the personnel feature information corresponding to the video data parameters, identify the number of personnel corresponding to each device area corresponding to the video data parameters, obtain the standard number of personnel corresponding to each device area for each monitoring period, compare the number of personnel corresponding to each device area corresponding to the current video data parameters with the standard number of personnel corresponding to each device area for each monitoring period, obtain the personnel difference corresponding to each device area, identify the facial features of each person in the device area corresponding to the personnel difference, and match the facial features of each person in the device area corresponding to the personnel difference with the personnel identity information stored in the database; when the facial features of each person in the device area cannot match the personnel identity information stored in the database, the corresponding person will be recorded as an abnormal person.
5. A substation monitoring system based on video processing according to claim 4, characterized in that: The video feature recognition information is analyzed, and the specific analysis method is as follows: Obtain device features, operation feature information, and personnel feature information corresponding to the video feature identification information, match the video feature identification information corresponding to each video data parameter with the device features, operation feature information, and personnel feature information, obtain feature information corresponding to each video data parameter, and use the feature information corresponding to each video data parameter as video category information.