CN114548905A - Substation work permission management and control method based on AI identification - Google Patents
Substation work permission management and control method based on AI identification Download PDFInfo
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Abstract
The invention provides a transformer substation work permission management and control method based on AI identification, which comprises the following steps: the method comprises the steps that an operator submits an operation application, face information of the operator is obtained through AI identification, corresponding qualification information is obtained according to the face information, the authority level and work ticket content are determined, a monitoring path is determined according to the authority level and the work ticket content, a high-definition camera on the monitoring path is started, when the operator carries out transformer substation operation, the operation process of the operator is monitored in real time through the high-definition camera on the monitoring path, AI identification is carried out on video data collected by the high-definition camera, whether the operation of the operator meets the standard or not is judged according to AI identification results, and when the operation of the operator does not meet the standard, an alarm is sent. The invention can realize the on-line completion of the work ticket filling and the auditing work, effectively improves the auditing efficiency, monitors the operation process in real time and improves the operation normalization and the operation efficiency.
Description
Technical Field
The invention relates to the technical field of transformer substation management and control, in particular to a transformer substation work permission management and control method based on AI identification.
Background
In the work permission management and control of the traditional transformer substation, when an operator needs to enter the transformer substation to work, a paper work order needs to be issued, and the operator can enter the transformer substation to work through the back of an examination. In the process, the paper work ticket has the problems of complex application and audit, easy damage and loss, easy environmental influence on the storage of the paper work ticket and the like, and can seriously influence the work efficiency and data safety of operators.
When the paper work ticket of the operator is issued, corresponding communication audit needs to be carried out manually, the communication cost which needs to be borne is high, the specific working process of the operator in the transformer substation cannot be effectively monitored, and the operation behavior of the operator cannot be effectively controlled according to the content of the work ticket.
Disclosure of Invention
The invention aims to overcome the defects in the prior art and provides a substation work permission management and control method based on AI identification.
The purpose of the invention is realized by the following technical scheme:
a transformer substation work permission management and control method based on AI identification comprises the following steps:
step one, an operator submits an operation application, face information of the operator is obtained through AI identification, and qualification information of the operator submitting the application is obtained according to the face information;
determining a corresponding authority level according to qualification information of an operator, simultaneously extracting a job application, acquiring work ticket content according to the job application, determining a monitoring path according to the authority level, the working time in the work ticket content, the working content and a working area, and starting a high-definition camera on the monitoring path;
step three, an operator enters the transformer substation, carries out transformer substation operation according to the content of the work ticket, monitors the operation process of the operator in real time through a high-definition camera on a monitoring path, carries out AI identification on video data acquired by the high-definition camera in real time, judges whether the operation of the operator meets the specification according to the AI identification result, and sends an alarm when the operation of the operator does not meet the specification; and if the operation of the operator meets the specification, continuing monitoring and AI identification until the operation is finished.
Furthermore, after the authority level is obtained, the access area of the operating personnel in the transformer substation is divided according to the authority level and the working area, the action track of the operating personnel is obtained in real time through the high-definition camera in the operating process of the operating personnel, and when the operating personnel is detected to exceed the access area, an alarm is given.
Further, after the fact that the operating personnel exceed the access area is detected, the positions of the operating personnel are obtained through the safety wearing equipment carried by the positioning operating personnel, the position information of all inspection robots in the transformer substation is called, the inspection robot with the nearest distance is selected, the motion trail of the inspection robot is formulated according to the positions of the operating personnel, the selected positions of the inspection robots and the positions of transformer substation equipment between the selected inspection robots, the motion trail with the shortest distance is screened out and sent to the selected inspection robot, the selected inspection robot moves according to the received motion trail, and the operating personnel exceeding the access area are warned.
Further, after AI identification is carried out on the video data acquired by the high-definition camera in the third step, the operation steps of the operator are compared with the work content in the work ticket in real time according to the AI identification result, when the operator is detected to complete the operation of one device, the next device in the work content is obtained, the device is unlocked, and meanwhile, the device which completes the operation is locked again until the work content in the work ticket is completely completed.
Further, the transformer substation images after the work contents in the work ticket are completely finished are collected through the high-definition camera, the transformer substation images before the operating personnel enter the transformer substation are called for comparison, whether articles are left over or not is judged according to the comparison result, and when the articles are left over, article leave-over notification is sent to the operating personnel.
Further, in the first step, before the operator submits the job application, the qualification information of the operator is also checked, and the specific process of checking the qualification information of the operator is as follows: the method comprises the steps that an operator submits an examination application, corresponding identity information and face information are input, meanwhile, work ticket content is uploaded, examination content is determined according to the work ticket content and the identity information of the operator, examination results of the operator are examined after the operator completes the examination, if the examination of the operator fails, the operator does not have the qualification of entering a transformer substation to work, and if the examination of the operator passes, the operator has the qualification of entering the transformer substation to work, and the face information of the operator is uploaded.
Further, when the high definition digtal camera on the monitoring path monitors the operation process of the operating personnel in real time in the third step, the wearing condition of the safety wearing equipment of the operating personnel is monitored in real time through the video data collected by the high definition digtal camera, and the specific process of monitoring the wearing condition of the safety wearing equipment of the operating personnel in real time is that: extracting video data collected by a high-definition camera, dividing the video data frame by frame, identifying a portrait of each frame of image, dividing the image according to the identified portrait outline and a wearing position corresponding to the safety wearing equipment, identifying the safety wearing equipment of the divided image, judging that the safety wearing equipment is not worn correctly by an operator if the safety wearing equipment is not identified in the divided image, and giving an alarm; and if the safety wearing equipment is identified in the divided image, judging that the operator correctly wears the safety wearing equipment.
The invention has the beneficial effects that:
the operation personnel entering the transformer substation can fill in the work ticket on line, and can perform qualification verification work of the corresponding operation personnel on line, so that the risk of losing the work ticket is reduced, and the verification efficiency can be improved. And after the operating personnel enter the transformer substation, the operating process of the operating personnel is monitored in real time, and the operating standardization and the corresponding efficiency of the operating personnel can be ensured. And the authorities of the operators are classified in the operation process, and the access areas are divided according to the authorities, so that the safety of the equipment and the operators in the transformer substation is ensured. Still manage and control the interface of equipment in the transformer substation, select the equipment interface according to operation flow and open, other interfaces all carry out the shutting and handle, avoid the mistake to touch the appearance of condition.
Drawings
FIG. 1 is a schematic flow diagram of the present invention.
Detailed Description
The invention is further described below with reference to the figures and examples.
Example (b):
a transformer substation work permission management and control method based on AI identification is disclosed, as shown in FIG. 1, and comprises the following steps:
step one, an operator submits an operation application, face information of the operator is obtained through AI identification, and qualification information of the operator submitting the application is obtained according to the face information;
determining a corresponding authority level according to qualification information of an operator, simultaneously extracting a job application, acquiring work ticket content according to the job application, determining a monitoring path according to the authority level, the working time in the work ticket content, the working content and a working area, and starting a high-definition camera on the monitoring path;
step three, an operator enters the transformer substation, carries out transformer substation operation according to the content of the work ticket, monitors the operation process of the operator in real time through a high-definition camera on a monitoring path, carries out AI identification on video data acquired by the high-definition camera in real time, judges whether the operation of the operator meets the specification according to the AI identification result, and sends an alarm when the operation of the operator does not meet the specification; and if the operation of the operator meets the specification, continuing monitoring and AI identification until the operation is finished.
After the authority level is obtained, the access area of the operating personnel in the transformer substation is divided according to the authority level and the working area, the action track of the operating personnel is obtained in real time through the high-definition camera in the operation process of the operating personnel, and an alarm is given when the operating personnel is detected to exceed the access area.
After detecting that the operating personnel exceeds the access area, acquiring the positions of the operating personnel through safety wearing equipment carried by the positioning operating personnel, calling position information of all inspection robots in the transformer substation, selecting the inspection robot with the closest distance, formulating the motion trail of the inspection robot according to the positions of the operating personnel, the selected position of the inspection robot and the positions of transformer substation equipment between the selected inspection robot and the selected inspection robot, screening out the motion trail with the shortest distance, sending the motion trail to the selected inspection robot, moving the selected inspection robot according to the received motion trail, and warning the operating personnel exceeding the access area.
If the operation personnel continue to act after exceeding the access area, the safety wearable equipment is used for positioning in real time, and the motion trail is adjusted in real time according to the position information of the operation personnel. And if the operating personnel return to the access area by self, the inspection robot returns according to the received motion trail and continues the previous inspection work.
And in the third step, after AI identification is carried out on the video data acquired by the high-definition camera, the operation steps of the operator are compared with the work content in the work ticket in real time according to the AI identification result, when the operator is detected to complete the operation of one device, the next device in the work content is obtained, the device is unlocked, and meanwhile, the device which completes the operation is locked again until the work content in the work ticket is completely completed.
Still gather the transformer substation's image after the work content is all accomplished in the work ticket through high definition digtal camera to transfer the transformer substation's image before the operation personnel gets into the transformer substation and contrast, judge whether there is article to leave over according to the contrast result, and when judging that there is article to leave over, send article to the operation personnel and leave over the notice.
And sending an article leaving notice to an operator in a mode of WeChat, short message and the like, wherein the article leaving notice comprises an article leaving address. The transformer substation equipment closest to the left-over article is identified, the operating equipment operated by the operator is matched, the article left-over address is obtained according to the position of the operating equipment obtained through matching, and when the article left-over notification is sent, the position prompt is carried out on the operator through the corresponding operating equipment.
If the operating personnel need to re-enter the transformer substation, the operating personnel is required to re-perform face recognition, and meanwhile, after the operating personnel enter the transformer substation, the transformer substation equipment is locked until the operating personnel takes back the left-over articles and leaves the transformer substation.
Before the operator submits the operation application, the qualification information of the operator is checked, and the specific process of checking the qualification information of the operator is as follows: the method comprises the steps that an operator submits an examination application, corresponding identity information and face information are input, meanwhile, work ticket content is uploaded, examination content is determined according to the work ticket content and the identity information of the operator, examination results of the operator are examined after the operator completes the examination, if the examination of the operator fails, the operator does not have the qualification of entering a transformer substation to work, and if the examination of the operator passes, the operator has the qualification of entering the transformer substation to work, and the face information of the operator is uploaded.
For the examination of the qualification information of the operator, the operator can upload the identity information, submit the work ticket and apply for the examination by logging in the account. And data such as identity information and work ticket information submitted by the operating personnel are stored in the cloud server. In order to prevent the data information of the operator from being leaked, the encryption file system is adopted to realize the encryption storage of the data information, and the processes of encrypting and decrypting the data information are transparent to the operator. The transparent data information encryption technology can help operators to forcibly execute a data security strategy, and meanwhile, the data stored in the cloud can only be stored in a ciphertext mode, the operators can independently control the data security, and the users can get rid of security guarantee measures only depending on cloud storage service providers to a certain extent.
In addition, in order to prevent internal personnel of the cloud storage service provider from peeping data information of the operating personnel, the service provider adopts a hierarchical notification and a flow management mode. For example, an operation and maintenance system of cloud storage is divided into two levels, one level is common operation and maintenance personnel and is mainly responsible for daily maintenance work of the cloud storage, a physical main body cannot be logged in, a controlled machine room cannot be accessed at the same time, and data information cannot be touched; the other level is personnel with cloud storage core authority, and although the personnel can enter a machine room and can log in a physical host, the personnel is strictly controlled by an operation and maintenance process.
The face information of the operating personnel is uploaded to the access control system of the transformer substation, and if the operating personnel who do not pass the examination want to enter the transformer substation, the access control system cannot identify the face information of the operating personnel, so that the operating personnel cannot enter the transformer substation.
When monitoring operation personnel's operation process in real time through the high definition digtal camera on the control route in the step three, the video data that still gathers through the high definition digtal camera carries out real-time supervision to the wearing condition of operation personnel's safety wearing equipment, and the concrete process that carries out real-time supervision to the wearing condition of operation personnel's safety wearing equipment is: extracting video data collected by a high-definition camera, dividing the video data frame by frame, identifying a portrait of each frame of image, dividing the image according to the identified portrait outline and a wearing position corresponding to the safety wearing equipment, identifying the safety wearing equipment of the divided image, judging that the safety wearing equipment is not worn correctly by an operator if the safety wearing equipment is not identified in the divided image, and giving an alarm; and if the safety wearing equipment is identified in the divided image, judging that the operator correctly wears the safety wearing equipment.
The safety wearing equipment comprises a safety helmet, rubber gloves and the like, the image of the head position in the portrait outline is captured by taking the safety helmet as an example, the captured image is identified, and if the safety helmet exists in the image of the head position, the safety helmet can be judged to be worn by an operator accurately.
And the portrait identification of each frame of image is realized by an image edge detection algorithm.
The above-described embodiments are only preferred embodiments of the present invention, and are not intended to limit the present invention in any way, and other variations and modifications may be made without departing from the spirit of the invention as set forth in the claims.
Claims (7)
1. A transformer substation work permission management and control method based on AI identification is characterized by comprising the following steps:
step one, an operator submits an operation application, face information of the operator is obtained through AI identification, and qualification information of the operator submitting the application is obtained according to the face information;
determining a corresponding authority level according to qualification information of an operator, simultaneously extracting a job application, acquiring work ticket content according to the job application, determining a monitoring path according to the authority level, the working time in the work ticket content, the working content and a working area, and starting a high-definition camera on the monitoring path;
step three, an operator enters the transformer substation, carries out transformer substation operation according to the content of the work ticket, monitors the operation process of the operator in real time through a high-definition camera on a monitoring path, carries out AI identification on video data acquired by the high-definition camera in real time, judges whether the operation of the operator meets the specification according to the AI identification result, and sends an alarm when the operation of the operator does not meet the specification; and if the operation of the operator meets the specification, continuing monitoring and AI identification until the operation is finished.
2. The AI-recognition-based substation work permission management and control method according to claim 1, wherein after the permission level is obtained, the access area of the operating personnel in the substation is further divided according to the permission level and the work area, and during the operation of the operating personnel, the action trajectory of the operating personnel is obtained in real time through a high definition camera, and when it is detected that the operating personnel exceeds the access area, an alarm is given.
3. The AI-recognition-based substation work permission management and control method according to claim 2, wherein after it is detected that the operator exceeds the access area, the operator's position is obtained by positioning the safety wearing equipment carried by the operator, the position information of all inspection robots in the substation is retrieved, the inspection robot with the closest distance is selected, the motion trajectory of the inspection robot is formulated according to the operator's position, the selected inspection robot's position and the substation equipment position existing therebetween, the motion trajectory with the shortest distance is screened out and sent to the selected inspection robot, the selected inspection robot moves according to the received motion trajectory, and the operator exceeding the access area is warned.
4. The method for managing and controlling work permission of the transformer substation based on the AI identification as claimed in claim 1, wherein after the AI identification is performed on the video data acquired by the high-definition camera in the third step, the operation steps of the operator are compared with the work content in the work ticket in real time according to the AI identification result, when it is detected that the operator completes the operation of one device, the next device in the work content is acquired, the device is unlocked, and the device which has completed the operation is locked again until the work content in the work ticket is completely completed.
5. The AI-recognition-based substation work permission management and control method of claim 1, further comprising the steps of collecting substation images of all completed work contents in the work ticket through a high definition camera, calling the substation images before an operator enters the substation for comparison, judging whether article leaving exists according to a comparison result, and sending an article leaving notification to the operator when judging that the article leaving exists.
6. The AI-recognition-based substation work permission management and control method according to claim 1, wherein in the first step, before the operator submits the job application, the qualification information of the operator is further checked, and the specific process of checking the qualification information of the operator is as follows: the method comprises the steps that an operator submits an examination application, corresponding identity information and face information are input, meanwhile, work ticket content is uploaded, examination content is determined according to the work ticket content and the identity information of the operator, examination results of the operator are examined after the operator completes the examination, if the examination of the operator fails, the operator does not have the qualification of entering a transformer substation to work, and if the examination of the operator passes, the operator has the qualification of entering the transformer substation to work, and the face information of the operator is uploaded.
7. The AI-recognition-based substation work permission management and control method of claim 1, wherein in step three, when the operating process of the operating personnel is monitored in real time by the high definition camera on the monitoring path, the wearing condition of the safety wearing equipment of the operating personnel is monitored in real time by video data collected by the high definition camera, and the specific process of monitoring the wearing condition of the safety wearing equipment of the operating personnel in real time is as follows: extracting video data collected by a high-definition camera, dividing the video data frame by frame, identifying a portrait of each frame of image, dividing the image according to the identified portrait outline and a wearing position corresponding to the safety wearing equipment, identifying the safety wearing equipment of the divided image, judging that the safety wearing equipment is not worn correctly by an operator if the safety wearing equipment is not identified in the divided image, and giving an alarm; and if the safety wearing equipment is identified in the divided image, judging that the operator correctly wears the safety wearing equipment.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115424408A (en) * | 2022-09-05 | 2022-12-02 | 广东电网有限责任公司 | Site operation safety control early warning device |
| CN115988127A (en) * | 2022-12-20 | 2023-04-18 | 国家电网有限公司华东分部 | Power equipment operation demonstration system and method |
| CN116915958A (en) * | 2023-09-06 | 2023-10-20 | 广东电网有限责任公司佛山供电局 | One-time operation video monitoring and analyzing method and related device |
-
2022
- 2022-01-18 CN CN202210054015.0A patent/CN114548905A/en active Pending
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115424408A (en) * | 2022-09-05 | 2022-12-02 | 广东电网有限责任公司 | Site operation safety control early warning device |
| CN115988127A (en) * | 2022-12-20 | 2023-04-18 | 国家电网有限公司华东分部 | Power equipment operation demonstration system and method |
| CN116915958A (en) * | 2023-09-06 | 2023-10-20 | 广东电网有限责任公司佛山供电局 | One-time operation video monitoring and analyzing method and related device |
| CN116915958B (en) * | 2023-09-06 | 2024-02-13 | 广东电网有限责任公司佛山供电局 | One-time operation video monitoring and analyzing method and related device |
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