CN113569670B - Substation monitoring system - Google Patents
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- CN113569670B CN113569670B CN202110799470.9A CN202110799470A CN113569670B CN 113569670 B CN113569670 B CN 113569670B CN 202110799470 A CN202110799470 A CN 202110799470A CN 113569670 B CN113569670 B CN 113569670B
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Abstract
The invention discloses a transformer substation monitoring system, which comprises a monitoring module, a monitoring module and a monitoring module, wherein the monitoring module is used for acquiring portrait information of external personnel entering a transformer substation and the construction condition of staff in the transformer substation on a station; the information input module is used for inputting and storing information of external personnel entering the transformer substation; recording and storing the information and attendance arrangement conditions of staff in the transformer substation; the identification module is used for completing the functions of identity distinguishing and identification, face feature matching and construction action identification of the monitoring system; the checking module is used for finishing checking the abnormal condition of the system; the data verification module is used for verifying the personnel conditions in the transformer substation on the number of people; the information processing module is used for receiving the verification information of the data verification module and generating different early warning information based on the verification information; and the condition processing module is used for generating different processing instructions according to different early warning information generated in the information processing module.
Description
Technical Field
The invention relates to the technical field of anti-theft monitoring of transformer substations, in particular to a transformer substation monitoring system.
Background
The transformer substation is a place for changing voltage, the problem of safe distribution of the transformer substation related electric energy can be solved at a place far away from electric energy transmission of a power plant, if a theft event occurs in the transformer substation, normal operation of the transformer substation can be affected, loss of invested funds can be brought to the transformer substation, and potential safety hazards can be generated in the transformer substation.
Based on the above problems, a transformer substation monitoring system is provided, a monitoring anti-theft method which is more accurate and sharper in anti-theft monitoring is added to the transformer substation monitoring system, the monitoring capability and analysis recognition capability of the monitoring system are improved, the system can monitor theft of external personnel and monitor theft of staff in the transformer substation through adding construction action recognition, the accuracy in anti-theft monitoring of the system is improved, and the data processing burden of the monitoring system is effectively reduced for the situation-based processing of monitoring information.
Disclosure of Invention
The invention aims to provide a transformer substation monitoring system for solving the problems in the background art.
In order to solve the technical problems, the invention provides the following technical scheme: the transformer substation monitoring system comprises a monitoring module, an information input module, an identification module, an investigation module, a data verification module, an information processing module and a condition processing module;
the monitoring module comprises a plurality of cameras arranged at the entrance registration of the transformer substation and a plurality of cameras arranged at each station in the transformer substation, and is used for acquiring the portrait information of external personnel entering the transformer substation and the construction condition of staff in the transformer substation at the stations;
the information input module is used for inputting and storing information of external personnel entering the transformer substation; recording and storing the information and attendance arrangement conditions of staff in the transformer substation;
the identification module is used for completing the functions of identity distinguishing and identification, face feature matching and construction action identification of the monitoring system;
the checking module is used for finishing checking the abnormal condition of the system;
the data verification module is used for verifying the personnel conditions in the transformer substation on the number of people;
the information processing module is used for receiving the verification information of the data verification module and generating different early warning information based on the verification information;
and the condition processing module is used for generating different processing instructions according to different early warning information generated in the information processing module.
Further, the identification module comprises an identity distinguishing and identifying unit, a face feature matching unit and a construction action identifying unit;
the identity distinguishing and identifying unit comprises an identity identifying and detecting framework and is used for extracting dressing characteristic information of the video monitoring image sequence after image processing to finish identity distinguishing of staff and external staff in the transformer substation;
the face feature matching unit and the construction action recognition unit are used for assisting the investigation module in carrying out identity investigation on abnormal people of the alien people on the same day.
Further, the construction action recognition unit comprises an image processing unit, a feature extraction unit and a data processing unit;
the image processing unit is used for framing the video monitoring image on the station when the personnel in the transformer substation work, which is acquired by the construction action identification unit;
the feature extraction unit is used for extracting construction action feature information of the video monitoring image sequence processed by the image processing unit from the trained construction action recognition detection frame;
and the data processing unit is used for obtaining an action interval average value and an action deviation rate of the image obtained by the framing processing of the image processing unit.
Further, the monitoring system comprises a substation monitoring method:
s100: the method comprises the steps of monitoring personnel in a transformer substation in real time, carrying out identity distinguishing and identifying on the personnel in the transformer substation, wherein identification data adopted by the identity distinguishing and identifying are video monitoring images of the personnel in the transformer substation, and carrying out image processing on the video monitoring images; performing dressing characteristic information extraction on the video monitoring image sequence subjected to image processing by adopting a trained identity recognition detection framework, and obtaining an identity distinguishing recognition result according to the extracted dressing characteristic information;
s200: retrieving the on-day attendance information recorded in the system and the on-day external personnel information registered at the substation entrance;
s300: carrying out data verification on the number of people on the identity distinguishing and identifying result obtained in the step S100 and the information recorded in the step S200;
s400: respectively sending pre-normal information, first abnormal information, second abnormal information and third abnormal information to a monitoring system according to different data verification results obtained in the step S300;
s500: the monitoring system performs distinguishing processing based on the different information received in the step S400;
the method provides the monitoring system based on the antitheft principle for the monitoring system, so that more rigorous investigation of personnel in the transformer substation can be realized, and further the occurrence of theft events of the transformer substation is reduced.
Further, the dressing characteristic information includes: the wearing condition of the safety helmet on the head of the personnel in the transformer substation, the wearing condition of the working clothes of the personnel in the transformer substation, the carrying condition of the working bag of the personnel in the transformer substation and the wearing condition of the chest working certificate of the personnel in the transformer substation; the identity distinguishing and identifying result comprises staff and external staff;
the dressing characteristic information is used as a distinguishing mark for distinguishing workers and foreign personnel, so that the working specification of personnel in the transformer substation can be promoted, the safety index of work in the transformer substation is improved, and the dressing characteristic information is used as a distinguishing mark to realize preliminary investigation of suspicious personnel in the transformer substation.
Further, the attendance information of the same day includes: the number of the attendance staff on the same day, the basic identity information of the attendance staff on the same day, the work tasks of the attendance staff on the same day, the work stations of the attendance staff on the same day and the estimated attendance time of the attendance staff on the same day; the foreign personnel information of the day includes: the number of the alien people, the basic identity information of the alien people and the entering matters of the alien people on the same day;
the collection of the attendance information is beneficial to more accurately determining the identity of the staff in the transformer substation, and meanwhile, the change monitoring system can be promoted to more comprehensively master the working implementation condition of the staff in the power station on another level.
Further, step S400 includes:
s401: the data checking result shows that the identity distinguishing and identifying result completely corresponds to the number of the attendance staff on the same day and the number of the foreign staff on the same day, and pre-normal information is sent to the monitoring system;
s402: the method comprises the steps that when a data verification result shows that the number of attendance staff on the same day in an identity distinguishing and identifying result is abnormal, first abnormal information is sent to a monitoring system;
s403: the data checking result shows that the number of the external personnel on the same day in the identity distinguishing and identifying result is abnormal, and second abnormal information is sent to the monitoring system;
s404: when the number of the external personnel on the same day is abnormal and the number of the attendance staff on the same day is abnormal in the identity distinguishing and identifying result, sending third abnormal information to the monitoring system;
the data verification result is obtained based on preliminary investigation of personnel on the number of people, which is favorable for the monitoring system to grasp the condition of personnel in the transformer substation in detail, and further is favorable for further locking later suspicious personnel.
Further, step S500 includes:
when the monitoring system receives the pre-normal information, the monitoring system sends attendance checking information to the mobile terminal of the attendance staff on the same day, the attendance staff on the same day confirms own basic identity information at the mobile terminal, after the monitoring system receives the information confirmation result, the steps S100-S300 are repeatedly carried out, and the attendance information recorded in the system, the information of the same day and the identification data adopted by identification of the alien staff registered at the entrance of the transformer substation are updated in real time by the data obtained by repeatedly carrying out the steps S100-S300;
when the monitoring system receives the first abnormal information, the monitoring system sends attendance review information to the mobile terminal of the attendance staff on the same day to review the attendance situation, and meanwhile, attendance supplementary information is initiated to the user terminal; the attendance staff on the same day sends review feedback information to the monitoring system, wherein the review feedback information comprises: positioning information of work stations of the attendance staff on the same day and estimated attendance time of the attendance staff on the same day; the user can carry out attendance supplementary registration when receiving the attendance supplementary information; the abnormal situation of the number of the attendance staff on the same day is checked for the second time according to the positioning information of the working stations of the attendance staff on the same day, the estimated attendance time of the attendance staff on the same day and the attendance supplementary registration situation;
when the monitoring system receives the second abnormal information, the monitoring system monitors and locks abnormal external personnel based on the information registered by the transformer substation entrance, matches the basic identity information of the external personnel registered by the transformer substation entrance, sends warning information to the transformer substation monitoring personnel or initiates attendance supplementary information to a user side according to a matching result, and sends safety warning information to related staff according to attendance supplementary information submitted by the related staff;
when the monitoring system receives the third abnormal information, the monitoring system takes the abnormal number of the personnel appearing in the identification result of the identity distinction as a preferential treatment condition, and takes the abnormal number of the personnel working on the same day in the identification result of the identity distinction as an auxiliary treatment condition of the preferential treatment condition to conduct abnormality investigation;
the different processing information is used for realizing different monitoring effects of the monitoring system on the transformer substation, and the pre-normal information is used for realizing continuous monitoring on the transformer substation when the monitoring system does not detect abnormal conditions and continuously updating monitoring real-time information; in the first abnormal information, corresponding attendance review and attendance supplement are set, the attendance review is to further realize the attendance condition of each transformer substation attendance staff, the monitoring information is secondarily confirmed, and the attendance supplement is to prevent the abnormal condition of the number of the attendance staff on the same day caused by the fact that the attendance of the staff in the transformer substation needs to be temporarily increased due to the unexpected condition in the transformer substation; in the second abnormality, corresponding warning information and attendance supplementary information are set, the warning information reminds the monitoring system that the transformer substation is abnormal, and reminds monitoring personnel to take relevant operations, and the attendance supplementary information is used for preventing staff in the transformer substation increased due to exceptional conditions from abnormal people in the same day caused by abnormal people number of the external personnel in the same day due to the fact that the monitoring system determines the staff as the external personnel due to irregular dressing of the staff; in the third abnormal situation, the monitoring system is required to conduct abnormal investigation when monitoring the situation by default, so that the situation that the number of attendance people is reduced and foreign people is increased due to the fact that the absent attendance staff is out of specification is prevented, and the accuracy of the monitoring system can be improved through abnormal investigation of the situation.
Further, the abnormality investigation process includes:
when the abnormal number of the current external personnel and the abnormal number of the current attendance personnel in the identity distinguishing and identifying result are in a situation of complementation in numerical value, the monitoring system performs identity checking on the abnormal number of the current external personnel, and obtains a face characteristic image of the abnormal number of the current external personnel and a face characteristic image of the abnormal number of the current attendance personnel of the transformer substation to perform intelligent matching; when the result obtained by intelligently matching the face feature images shows that the matching is successful, the monitoring system sends attendance checking information to the mobile terminal of the attendance staff on the same day, the attendance staff on the same day confirms own basic identity information at the mobile terminal, after receiving the information confirmation result, the monitoring system repeatedly carries out the steps S100-S300, and the data obtained by repeatedly carrying out the steps S100-S300 update the attendance information recorded in the system, the information of the alien staff on the same day registered at the entrance of the transformer substation and the identification data adopted by identity distinguishing identification in real time;
when the result obtained by intelligently matching the face feature images shows that the matching fails, construction action recognition is carried out on abnormal personnel in the transformer substation, recognition data adopted by the construction action recognition is video monitoring images on stations when the personnel in the transformer substation work, and framing processing is carried out on the video monitoring images; the trained construction action recognition detection frame is adopted to extract construction action characteristic information of the video monitoring image sequence subjected to framing treatment, and when the fact that the number of the coincident action characteristic is not more than a threshold set by a system is detected, the monitoring system sends warning information to monitoring personnel of a transformer substation;
when the detected overlapped action feature number exceeds the threshold value set by the system, extracting the time information of each frame image, comparing the time information with the time information of the frame images acquired by the system under normal conditions, and obtaining the action deviation rate, wherein the detailed steps are as follows:
SS1: averaging the action interval time between each actually detected frame image; the formula is as follows:
wherein U is i Representing the acquisition time of the ith frame of image, U i-1 Representing the acquisition time of an i-1 frame image, wherein n represents the total frame number of the acquired image;
SS2: averaging the action interval time between every two frame images collected under normal conditions by the system; the formula is as follows:
wherein T is i Representing the acquisition time of the ith frame of image, T i-1 Representing the acquisition time of an i-1 frame image, wherein R represents the total frame number of the acquired image;
SS3: the action deviation rate formula is:
T ′ ＝(U/T)×100％
wherein U represents the average interval time between each frame image which is actually detected, and T represents the average interval time between each frame image which is acquired by the system under normal conditions;
when the action deviation rate is smaller than a threshold value set by the system, the monitoring system sends attendance checking information to the mobile terminal of the current day attendance staff, the current day attendance staff confirms own basic identity information at the mobile terminal, after receiving the information confirmation result, the monitoring system repeatedly carries out the steps S100-S300, and the current day attendance information recorded in the system and the current day external staff information registered at the substation entrance and the identification data adopted by identity distinguishing identification are updated in real time by the data obtained by repeatedly carrying out the steps S100-S300; when the action deviation rate is larger than a threshold value set by the system, warning information is sent to monitoring staff of the transformer substation;
the matching of the face intelligent image and the construction action recognition are added in the abnormal investigation process, the construction action recognition result can be used as an auxiliary reference when the face intelligent image fails to match, and under the condition that the face identification fails to match, whether abnormal personnel have theft intention or not is analyzed according to the behavior of the abnormal personnel according to the recognition of the construction action, so that the sensitivity and the accuracy of the monitoring system in theft prevention are facilitated.
Compared with the prior art, the invention has the following beneficial effects: the invention adds a more accurate and sharper monitoring anti-theft method for the monitoring system of the transformer substation, improves the monitoring capability and analysis and identification capability of the monitoring system, increases the accuracy of the anti-theft monitoring of the system, and effectively reduces the data processing burden of the monitoring system for the situation-based processing of the monitoring information.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a schematic diagram of a system architecture of a substation monitoring system;
fig. 2 is a flow chart of the steps of a substation monitoring method.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1-2, the present invention provides the following technical solutions: the transformer substation monitoring system is characterized by comprising a monitoring module, an information input module, an identification module, an investigation module, a data verification module, an information processing module and a condition processing module;
the monitoring module comprises a plurality of cameras arranged at the entrance registration of the transformer substation and a plurality of cameras arranged at each station in the transformer substation, and is used for acquiring the portrait information of external personnel entering the transformer substation and the construction condition of staff in the transformer substation at the stations;
the information input module is used for inputting and storing information of external personnel entering the transformer substation; recording and storing the information and attendance arrangement conditions of staff in the transformer substation;
the identification module is used for completing the functions of identity distinguishing and identification, face feature matching and construction action identification of the monitoring system; the checking module is used for finishing checking the abnormal condition of the system;
the identification module comprises an identity distinguishing and identifying unit, a face feature matching unit and a construction action identifying unit;
the identity distinguishing and identifying unit comprises an identity identifying and detecting framework and is used for extracting dressing characteristic information of the video monitoring image sequence after image processing to finish identity distinguishing of staff and external staff in the transformer substation;
the face feature matching unit and the construction action recognition unit are used for assisting the investigation module in carrying out identity investigation on abnormal people of the alien people on the same day; the construction action recognition unit comprises an image processing unit, a feature extraction unit and a data processing unit;
the image processing unit is used for framing the video monitoring image on the station when the personnel in the transformer substation work, which is acquired by the construction action identification unit;
the feature extraction unit is used for extracting construction action feature information of the video monitoring image sequence processed by the image processing unit from the trained construction action recognition detection frame;
a data processing unit for obtaining the average value of action intervals and the action deviation rate of the image obtained by framing the image processing unit
The data verification module is used for verifying the personnel conditions in the transformer substation on the number of people;
the information processing module is used for receiving the verification information of the data verification module and generating different early warning information based on the verification information;
and the condition processing module is used for generating different processing instructions according to different early warning information generated in the information processing module.
The monitoring system comprises a substation monitoring method:
s100: the method comprises the steps of monitoring personnel in a transformer substation in real time, carrying out identity distinguishing and identifying on the personnel in the transformer substation, wherein identification data adopted by the identity distinguishing and identifying are video monitoring images of the personnel in the transformer substation, and carrying out image processing on the video monitoring images; performing dressing characteristic information extraction on the video monitoring image sequence subjected to image processing by adopting a trained identity recognition detection framework, and obtaining an identity distinguishing recognition result according to the extracted dressing characteristic information; wherein the dressing characteristic information includes: the wearing condition of the safety helmet on the head of the personnel in the transformer substation, the wearing condition of the working clothes of the personnel in the transformer substation, the carrying condition of the working bag of the personnel in the transformer substation and the wearing condition of the chest working certificate of the personnel in the transformer substation; the identity distinguishing and identifying result comprises staff and external staff;
s200: retrieving the on-day attendance information recorded in the system and the on-day external personnel information registered at the substation entrance; wherein, the attendance information of the same day includes: the number of the attendance staff on the same day, the basic identity information of the attendance staff on the same day, the work tasks of the attendance staff on the same day, the work stations of the attendance staff on the same day and the estimated attendance time of the attendance staff on the same day; the foreign personnel information of the day includes: the number of the alien people, the basic identity information of the alien people and the entering matters of the alien people on the same day;
s300: carrying out data verification on the number of people on the identity distinguishing and identifying result obtained in the step S100 and the information recorded in the step S200;
s400: respectively sending pre-normal information, first abnormal information, second abnormal information and third abnormal information to a monitoring system according to different data verification results obtained in the step S300;
wherein, step S400 includes:
s401: the data checking result shows that the identity distinguishing and identifying result completely corresponds to the number of the attendance staff on the same day and the number of the foreign staff on the same day, and pre-normal information is sent to the monitoring system;
s402: the method comprises the steps that when a data verification result shows that the number of attendance staff on the same day in an identity distinguishing and identifying result is abnormal, first abnormal information is sent to a monitoring system;
s403: the data checking result shows that the number of the external personnel on the same day in the identity distinguishing and identifying result is abnormal, and second abnormal information is sent to the monitoring system;
s404: when the number of the external personnel on the same day is abnormal and the number of the attendance staff on the same day is abnormal in the identity distinguishing and identifying result, third abnormal information is sent to the monitoring system
S500: the monitoring system performs distinguishing processing based on the different information received in the step S400;
when the monitoring system receives the pre-normal information, the monitoring system sends attendance checking information to the mobile terminal of the attendance staff on the same day, the attendance staff on the same day confirms own basic identity information at the mobile terminal, after the monitoring system receives the information confirmation result, the steps S100-S300 are repeatedly carried out, and the attendance information recorded in the system, the information of the same day and the identification data adopted by identification of the alien staff registered at the entrance of the transformer substation are updated in real time by the data obtained by repeatedly carrying out the steps S100-S300;
when the monitoring system receives the first abnormal information, the monitoring system sends attendance review information to the mobile terminal of the attendance staff on the same day to review the attendance situation, and meanwhile, attendance supplementary information is initiated to the user terminal; the attendance staff on the same day sends review feedback information to the monitoring system, wherein the review feedback information comprises: positioning information of work stations of the attendance staff on the same day and estimated attendance time of the attendance staff on the same day; the user can carry out attendance supplementary registration when receiving the attendance supplementary information; the abnormal situation of the number of the attendance staff on the same day is checked for the second time according to the positioning information of the working stations of the attendance staff on the same day, the estimated attendance time of the attendance staff on the same day and the attendance supplementary registration situation;
when the monitoring system receives the second abnormal information, the monitoring system monitors and locks abnormal external personnel based on the information registered by the transformer substation entrance, matches the basic identity information of the external personnel registered by the transformer substation entrance, sends warning information to the transformer substation monitoring personnel or initiates attendance supplementary information to a user side according to a matching result, and sends safety warning information to related staff according to attendance supplementary information submitted by the related staff;
when the monitoring system receives the third abnormal information, the monitoring system takes the abnormal number of the personnel of the outside personnel on the same day as the preferential treatment condition in the identification result of the identification distinction, and takes the abnormal number of the personnel of the attendance on the same day as the auxiliary treatment condition of the preferential treatment condition in the identification result of the identification distinction to conduct abnormality investigation.
The abnormality investigation process comprises the following steps:
when the abnormal number of the current external personnel and the abnormal number of the current attendance personnel in the identity distinguishing and identifying result are in a situation of complementation in numerical value, the monitoring system performs identity checking on the abnormal number of the current external personnel, and obtains a face characteristic image of the abnormal number of the current external personnel and a face characteristic image of the abnormal number of the current attendance personnel of the transformer substation to perform intelligent matching; when the result obtained by intelligently matching the face feature images shows that the matching is successful, the monitoring system sends attendance checking information to the mobile terminal of the attendance staff on the same day, the attendance staff on the same day confirms own basic identity information at the mobile terminal, after receiving the information confirmation result, the monitoring system repeatedly carries out the steps S100-S300, and the data obtained by repeatedly carrying out the steps S100-S300 update the attendance information recorded in the system, the information of the alien staff on the same day registered at the entrance of the transformer substation and the identification data adopted by identity distinguishing identification in real time;
when the result obtained by intelligently matching the face feature images shows that the matching fails, construction action recognition is carried out on abnormal personnel in the transformer substation, recognition data adopted by the construction action recognition is video monitoring images on stations when the personnel in the transformer substation work, and framing processing is carried out on the video monitoring images; the trained construction action recognition detection frame is adopted to extract construction action characteristic information of the video monitoring image sequence subjected to framing treatment, and when the fact that the number of the coincident action characteristic is not more than a threshold set by a system is detected, the monitoring system sends warning information to monitoring personnel of a transformer substation;
when the detected overlapped action feature number exceeds the threshold value set by the system, extracting the time information of each frame image, comparing the time information with the time information of the frame images acquired by the system under normal conditions, and obtaining the action deviation rate, wherein the detailed steps are as follows:
SS1: averaging the action interval time between each actually detected frame image; the formula is as follows:
wherein U is i Representing the acquisition time of the ith frame of image, U i-1 Representing the acquisition time of an i-1 frame image, wherein n represents the total frame number of the acquired image;
SS2: averaging the action interval time between every two frame images collected under normal conditions by the system; the formula is as follows:
wherein T is i Representing the acquisition time of the ith frame of image, T i-1 Representing the acquisition time of an i-1 frame image, wherein R represents the total frame number of the acquired image;
SS3: the action deviation rate formula is:
T′＝(U/T)×100％
wherein U represents the average interval time between each frame image which is actually detected, and T represents the average interval time between each frame image which is acquired by the system under normal conditions;
when the action deviation rate is smaller than a threshold value set by the system, the monitoring system sends attendance checking information to the mobile terminal of the current day attendance staff, the current day attendance staff confirms own basic identity information at the mobile terminal, after receiving the information confirmation result, the monitoring system repeatedly carries out the steps S100-S300, and the current day attendance information recorded in the system and the current day external staff information registered at the substation entrance and the identification data adopted by identity distinguishing identification are updated in real time by the data obtained by repeatedly carrying out the steps S100-S300; and when the action deviation rate is greater than a threshold value set by the system, sending warning information to monitoring personnel of the transformer substation.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: the foregoing description is only a preferred embodiment of the present invention, and the present invention is not limited thereto, but it is to be understood that modifications and equivalents of some of the technical features described in the foregoing embodiments may be made by those skilled in the art, although the present invention has been described in detail with reference to the foregoing embodiments. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (5)
1. The transformer substation monitoring system is characterized by comprising a monitoring module, an information input module, an identification module, an investigation module, a data verification module, an information processing module and a condition processing module;
the monitoring module comprises a plurality of cameras arranged at the entrance registration of the transformer substation and a plurality of cameras arranged at each station in the transformer substation, and is used for acquiring the figure information of external personnel entering the transformer substation and the construction condition of staff in the transformer substation at the stations;
the information input module is used for inputting and storing information of external personnel entering the transformer substation; recording and storing the information and attendance arrangement conditions of staff in the transformer substation;
the identification module is used for completing the functions of identity distinguishing and identification, face feature matching and construction action identification of the monitoring system;
the checking module is used for finishing checking the abnormal condition of the system;
the data verification module is used for verifying the personnel conditions in the transformer substation on the number of people;
the information processing module is used for receiving the verification information of the data verification module and generating different early warning information based on the verification information;
the situation processing module is used for generating different processing instructions according to different early warning information generated in the information processing module;
the monitoring system comprises a substation monitoring method:
s100: the method comprises the steps of monitoring personnel in a transformer substation in real time, and carrying out identity distinguishing and identifying on the personnel in the transformer substation, wherein identification data adopted in the identity distinguishing and identifying are video monitoring images of the personnel in the transformer substation, and carrying out image processing on the video monitoring images; performing dressing characteristic information extraction on the video monitoring image sequence subjected to image processing by adopting a trained identity recognition detection framework, and obtaining an identity distinguishing recognition result according to the extracted dressing characteristic information; the dressing characteristic information includes: the wearing condition of the safety helmet on the head of the personnel in the transformer substation, the wearing condition of the working clothes of the personnel in the transformer substation, the carrying condition of the working bag of the personnel in the transformer substation and the wearing condition of the chest working certificate of the personnel in the transformer substation; the identity distinguishing and identifying result comprises staff and external staff;
s200: retrieving the on-day attendance information recorded in the system and the on-day external personnel information registered at the substation entrance;
s300: carrying out data verification on the number of people on the identity distinguishing and identifying result obtained in the step S100 and the information recorded in the step S200;
s400: respectively sending pre-normal information, first abnormal information, second abnormal information and third abnormal information to the monitoring system according to different data verification results obtained in the step S300;
s500: the monitoring system performs distinguishing processing based on the different information received in the step S400;
the step S500 includes:
when the monitoring system receives the pre-normal information, the monitoring system sends attendance checking information to a mobile terminal of a current day attendance staff, the current day attendance staff confirms own basic identity information at the mobile terminal, after receiving the information confirmation result, the monitoring system repeatedly carries out the steps S100-S300, and the current day attendance information recorded in the system, the current day external staff information registered at a transformer substation inlet and the identification data adopted by the identity distinguishing identification are updated in real time by the data obtained by repeatedly carrying out the steps S100-S300;
when the monitoring system receives the first abnormal information, the monitoring system sends attendance review information to a mobile terminal of a current day attendance staff to review attendance conditions, and meanwhile, attendance supplementary information is initiated to a user terminal; the attendance staff on the same day sends review feedback information to the monitoring system, wherein the review feedback information comprises the following components: positioning information of work stations of the attendance staff on the same day and estimated attendance time of the attendance staff on the same day; the user can perform attendance supplementary registration when receiving the attendance supplementary information; the abnormal number of the attendance staff on the same day is checked for the second time according to the positioning information of the working stations of the attendance staff on the same day, the estimated attendance time of the attendance staff on the same day and the attendance supplementary registration condition;
when the monitoring system receives second abnormal information, the monitoring system monitors and locks abnormal external personnel based on the information registered by the entrance of the transformer substation, matches the basic identity information of the external personnel registered by the entrance of the transformer substation, sends warning information to the monitoring personnel of the transformer substation or initiates attendance supplementary information to a user side according to a result obtained by matching, and sends safety warning information to relevant staff according to attendance supplementary information submitted by the relevant staff;
when the monitoring system receives third abnormal information, the monitoring system takes the abnormal number of the personnel appearing in the identification result of the identity distinction as a priority processing condition, and takes the abnormal number of the personnel working on the same day in the identification result of the identity distinction as an auxiliary processing condition of the priority processing condition for carrying out abnormal investigation;
the abnormality investigation process comprises the following steps:
when the abnormal number of the current external personnel and the abnormal number of the current attendance staff in the identity distinguishing and identifying result are in a situation of numerical complementation, the monitoring system performs identity checking on the abnormal number of the current external personnel, and obtains a face characteristic image of the abnormal number of the current external personnel to be intelligently matched with a face characteristic image of the abnormal number of the current attendance staff of the transformer substation; when the result obtained by intelligently matching the face feature images shows that the matching is successful, the monitoring system sends attendance checking information to the mobile terminal of the on-day attendance staff, the on-day attendance staff confirms own basic identity information at the mobile terminal, after receiving the result of information confirmation, the monitoring system repeatedly carries out the steps S100-S300, and the on-day attendance information recorded in the system, on-day external staff information registered at a substation inlet and identification data adopted by identity distinguishing identification are updated in real time by the data obtained by repeatedly carrying out the steps S100-S300;
when the result obtained by intelligently matching the face feature images shows that the matching fails, carrying out construction action recognition on abnormal personnel in the transformer substation, wherein recognition data adopted by the construction action recognition is a video monitoring image on a station when the personnel in the transformer substation work, and carrying out framing treatment on the video monitoring image; the trained construction action recognition detection frame is adopted to extract construction action characteristic information of the video monitoring image sequence subjected to framing treatment, and when the fact that the number of coincident action characteristics does not exceed a threshold set by a system is detected, the monitoring system sends warning information to monitoring personnel of a transformer substation;
when the detected overlapped action feature number exceeds the threshold value set by the system, extracting the time information of each frame image, comparing the time information with the time information of the frame images acquired by the system under normal conditions, and obtaining the action deviation rate, wherein the detailed steps are as follows:
SS1: averaging the action interval time between each actually detected frame image; the formula is as follows:
wherein U is i Representing the acquisition time of the ith frame of image, U i-1 Representing the acquisition time of an i-1 frame image, wherein n represents the total frame number of the acquired image;
SS2: averaging the action interval time between every two frame images collected under normal conditions by the system; the formula is as follows:
wherein T is i Representing the acquisition time of the ith frame of image, T i-1 Representing the acquisition time of an i-1 frame image, wherein R represents the total frame number of the acquired image;
SS3: the action deviation rate formula is as follows:
T′＝(U/T)×100％
wherein U represents the average interval time between each frame image which is actually detected, and T represents the average interval time between each frame image which is acquired under normal conditions by the system;
when the action deviation rate is smaller than a threshold value set by a system, the monitoring system sends attendance checking information to a mobile terminal of a current-day attendance staff, the current-day attendance staff confirms own basic identity information at the mobile terminal, after receiving an information confirmation result, the monitoring system repeatedly carries out the steps S100-S300, and data obtained by repeatedly carrying out the steps S100-S300 update current-day attendance information recorded in the system, current-day external staff information registered at a transformer substation inlet and identification data adopted by identity distinguishing identification in real time; and when the action deviation rate is larger than a threshold value set by the system, sending warning information to monitoring personnel of the transformer substation.
2. A substation monitoring system according to claim 1, characterized in that: the identification module comprises an identity distinguishing and identifying unit, a face feature matching unit and a construction action identifying unit;
the identity distinguishing and identifying unit comprises an identity identifying and detecting framework and is used for extracting dressing characteristic information of the video monitoring image sequence after image processing to finish identity distinguishing of staff and external staff in the transformer substation;
the face feature matching unit and the construction action recognition unit are used for assisting the investigation module in carrying out identity investigation on abnormal people of the alien people on the same day.
3. A substation monitoring system according to claim 1, characterized in that: the construction action recognition unit comprises an image processing unit, a feature extraction unit and a data processing unit;
the image processing unit is used for framing the video monitoring image on the station when the personnel in the transformer substation work, which is acquired by the construction action identification unit;
the feature extraction unit is used for extracting construction action feature information of the video monitoring image sequence processed by the image processing unit through the trained construction action recognition detection frame;
the data processing unit is used for obtaining an action interval average value and an action deviation rate of the image obtained by the image processing unit after framing.
4. A substation monitoring system according to claim 1, characterized in that: the attendance information of the same day comprises: the number of the attendance staff on the same day, the basic identity information of the attendance staff on the same day, the work tasks of the attendance staff on the same day, the work stations of the attendance staff on the same day and the estimated attendance time of the attendance staff on the same day; the outside person information of the day includes: the number of the alien people on the same day, the basic identity information of the alien people and the entering matters of the alien people.
5. A substation monitoring system according to claim 1, characterized in that: the step S400 includes:
s401: when the data verification result shows that the identity distinguishing and identifying result completely corresponds to the number of the attendance staff on the same day and the number of the foreign staff on the same day, sending pre-normal information to the monitoring system;
s402: when the data verification result shows that the number of people of the attendance staff on the same day in the identity distinguishing and identifying result is abnormal, first abnormal information is sent to the monitoring system;
s403: when the data verification result shows that the number of the external personnel on the same day in the identity distinguishing and identifying result is abnormal, second abnormal information is sent to the monitoring system;
s404: and when the number of the alien personnel on the same day is abnormal and the number of the attendance staff on the same day is abnormal in the identity distinguishing and identifying result, sending third abnormal information to the monitoring system.
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