Substation maintenance management and control method based on intelligent safety helmet

Abstract

The invention provides a power transformation maintenance management and control method based on an intelligent safety helmet, and belongs to the technical field of power transformation maintenance. Comprising the following steps: analyzing a maintenance operation work ticket, and obtaining maintenance items, operators and operation areas; a worker wears an intelligent safety helmet to complete local networking; matching and associating the intelligent safety helmet with an operator; an electronic fence is determined according to the operation area, and coordinate information of the electronic fence is synchronized to all the intelligent safety helmets in the group; in a working site, the intelligent safety helmet is used for safety management and control. The method can achieve the automatic analysis of the work ticket, carries out the electronic identity matching of an operator, and guarantees that the operator accords with the regulation of the work ticket. In the operation site, the intelligent safety helmets worn by the maintenance responsible person provide global safety control, and the intelligent safety helmets worn by other operators realize mutual auxiliary monitoring, so that an omnibearing control system for the operation site is constructed, the control coverage range is obviously improved, and the system is more comprehensive.

Description

Technical Field

[0001] This invention belongs to the field of substation maintenance technology, specifically relating to a substation maintenance control method based on a smart safety helmet. Background Technology

[0002] Substation maintenance is a crucial aspect of ensuring the safe and stable operation of power systems. However, habitual violations are frequently observed during substation maintenance, seriously threatening the lives of maintenance personnel and the normal operation of the power system. Traditional safety management at substation maintenance sites relies primarily on on-site monitoring by the maintenance supervisor and mutual supervision among work team members. This approach is not only inefficient but also prone to negligence and loopholes.

[0003] Therefore, a method is needed to assist in the management and control of substation maintenance work sites. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides a substation maintenance and management method based on a smart safety helmet.

[0005] To solve one or more or all of the above-mentioned technical problems, the technical solution adopted by the present invention is as follows: A substation maintenance and control method based on smart safety helmets includes: parsing maintenance work orders to obtain maintenance items, personnel, and work areas; completing local networking of the smart safety helmets worn by the personnel; matching and associating the smart safety helmets with the personnel; determining an electronic fence based on the work area, and synchronizing the coordinate information of the electronic fence to all smart safety helmets in the group; and using the smart safety helmets for safety control at the work site.

[0006] Furthermore, the method for matching and associating smart safety helmets with workers includes: workers using smart safety helmets to collect image information of another worker's head; determining whether the target worker is wearing a smart safety helmet based on the image information; if so, identifying the target worker's information from the image information using facial recognition; determining whether the target worker exists in the list of workers parsed from the work order based on the target worker's information; if so, associating the current smart safety helmet with the target worker using its own positioning information, orientation information, and positioning information of other smart safety helmets.

[0007] Furthermore, methods for safety management using smart safety helmets include: managing the work area based on the user's own location information and the coordinate information of the electronic fence; managing the wearing of safety tools by workers; and managing work behavior based on the collected image information.

[0008] Furthermore, methods for controlling the wearing of safety equipment by workers include: monitoring the wearing of smart safety helmets by the workers themselves; monitoring the mutual use of safety equipment by workers based on the collected image information; and monitoring the safety belts and safety ropes of workers working at heights based on the collected image information.

[0009] Furthermore, the method for mutual monitoring of safety tools and equipment of workers based on the collected image information includes: the smart safety helmet identifies the human body from the collected image data; it determines whether there is feature information of the safety tool or equipment to be detected near the target human body in the image; if not, it determines the target smart safety helmet corresponding to the target human body; the current smart safety helmet sends an alarm message to the target smart safety helmet.

[0010] Furthermore, the method for monitoring the safety belts and safety ropes of workers performing high-altitude operations based on the collected image information includes: the smart safety helmet identifies the human body from the collected image data; determines whether the target human body is performing high-altitude operations; if so, determines whether there is characteristic information of safety belts and safety ropes near the target human body in the image; if not, determines the target smart safety helmet corresponding to the target human body; and the current smart safety helmet sends an alarm message to the target smart safety helmet.

[0011] Furthermore, the method for controlling work behavior based on the collected image information includes: identifying the human body and human posture from the image information; determining whether the target person has abnormal posture or abnormal behavior based on the human posture; if so, determining the target smart safety helmet corresponding to the target human body; and the current smart safety helmet sending alarm information to the target smart safety helmet.

[0012] Furthermore, the method for determining the target smart helmet corresponding to the target human body includes: the current smart helmet broadcasting a location information request within the group to obtain the location information of other smart helmets in the group; the current smart helmet determining the smart helmet corresponding to the target human body based on its own location information, orientation information, the location information of other smart helmets, the positions of all detected human bodies in the image, and the position of the target human body in the image.

[0013] Furthermore, it also includes: the current smart safety helmet simultaneously sends alarm information to the main control safety helmet worn by the person in charge of maintenance.

[0014] Furthermore, it also includes: after receiving alarm information from other smart helmets, the smart helmet will emit gradually stronger voice reminders and flashing signals.

[0015] Compared with the prior art, the beneficial effects of the present invention are as follows: This invention enables automatic parsing of work permits and electronic identification matching of workers, ensuring that the workers are the personnel specified on the work permit and effectively guaranteeing their compliance with the permit requirements. At the work site, the smart safety helmet worn by the maintenance supervisor provides overall safety control, while the smart safety helmets worn by other workers provide mutual auxiliary monitoring, thus constructing a comprehensive control system for the work site. Compared to traditional single-point or fixed monitoring methods, the control coverage of this invention is significantly improved and more comprehensive. When unsafe equipment is detected or abnormal behavior is observed, the smart safety helmet can accurately locate the helmet worn by the violating personnel based on the relative position information between the smart safety helmets and send an alarm message. The target smart safety helmet then triggers a voice reminder and a flashing signal, alerting both the violating personnel and other workers nearby, achieving more accurate and efficient mutual supervision among workers. The smart safety helmets can communicate using a local network, and data processing is completed locally, achieving safety control of the work site without the need for external networks or external devices. Detailed Implementation

[0016] To better understand the present invention, the following embodiments further illustrate the content of the invention, but the scope of protection of the present invention is not limited to the following embodiments. Numerous specific details are set forth in the following description to provide a more thorough understanding of the invention. However, it will be apparent to those skilled in the art that the present invention can be practiced without one or more of these details.

[0017] Example 1: The purpose of this example is to provide a substation maintenance and control method based on a smart safety helmet.

[0018] The smart safety helmet is equipped with a camera module at the front and an audible and visual alarm module at the top. It also includes a processor module, a power module, a communication module, a positioning module, and a sensor module. The camera module captures the image directly in front; the audible and visual alarm module emits sound and / or light to alert the helmet wearer and other nearby personnel; the processor module provides local computation; the communication module enables communication with other smart safety helmets; the positioning module provides the user's location and orientation information; and the power module provides electrical energy and includes two replaceable batteries. When one battery is low on power, the system automatically switches to the other, allowing the worker to replace the low-powered battery.

[0019] This application refers to the smart safety helmet worn by the person in charge of substation maintenance work as the main control safety helmet.

[0020] The control method provided in this embodiment is implemented using the smart safety helmet worn by maintenance personnel. Specifically, the control method includes: S1. The person in charge of maintenance connects the smart safety helmet they are wearing to the control terminal.

[0021] The maintenance supervisor connects the main control safety helmet to the control terminal. The control terminal is used to assist in preliminary operations such as work order parsing, personnel matching, and electronic fence configuration. The control terminal can be an electronic device such as a computer, mobile phone, or tablet.

[0022] S2, The control terminal parses the work order content.

[0023] The control terminal receives electronic work orders and parses their contents; or the control terminal uses the camera module of the main control helmet to photograph paper work orders and uses OCR to recognize and parse their contents.

[0024] The parsed information includes maintenance items, personnel (including the maintenance supervisor and work team members), and work area. Based on the maintenance items, the required safety equipment can be determined. The maintenance supervisor also manually confirms the information parsed by the control terminal.

[0025] S3. All personnel are now properly equipped with smart safety helmets.

[0026] The smart safety helmet is also equipped with control buttons, including a grouping button. When all workers press the grouping button on their smart safety helmets simultaneously, the smart safety helmets will complete local networking.

[0027] Local networking between smart safety helmets can be achieved using protocols such as Mesh, Wi-Fi Direct, and BLE+LoRa.

[0028] S4. Complete the matching of the smart safety helmet with the worker.

[0029] This step involves associating the ID information of the smart safety helmet worn by the worker with the corresponding worker, based on the worker identified from the work order.

[0030] In one implementation, the maintenance supervisor uses a roll call method on the control terminal. When a worker is called, the supervisor manually verifies whether the worker is the corresponding person listed in the work order and checks whether the worker's smart safety helmet is worn properly. At the same time, the main control safety helmet uses a camera module to scan the QR code or barcode on the smart safety helmet to obtain the ID of the smart safety helmet. The identified ID is automatically associated with the worker.

[0031] In another implementation, two workers face each other using the camera module of their smart safety helmets. The camera module captures an image of the target worker's head. First, the smart safety helmet uses its own recognition function to determine if the target worker is wearing a smart safety helmet. If so, it uses its own facial recognition function, or transmits the facial image to a control terminal and uses the control terminal's facial recognition function, to identify the target worker's information and determine if the target worker is listed on the work order. If so, the smart safety helmet uses its own positioning information, orientation information, and positioning information from other smart safety helmets to obtain the ID of the smart safety helmet directly in front of it, and associates this ID with the person identified by facial recognition. This implementation can determine whether a person is wearing a safety helmet, verify whether the person is listed on the work order, and also achieve rapid matching between the smart safety helmet and the worker.

[0032] S5. Determine the electronic fence based on the work area specified in the work order, and automatically synchronize the coordinate information of the electronic fence to all smart safety helmets in the network.

[0033] Electronic fences are used to define work areas and isolate surrounding high-risk areas.

[0034] In one implementation, the maintenance supervisor manually draws an electronic fence for the work area on the electronic map of the control terminal, based on the work area listed in the work order.

[0035] In another implementation, an electronic fence is automatically generated based on an electronic map according to the work area parsed from the work order.

[0036] Once the electronic fence is generated, its coordinate information is automatically transmitted to the main control helmet via the control terminal. The main control helmet then automatically synchronizes the electronic fence's coordinate information to other smart helmets in the group.

[0037] S6. At the work site, use smart safety helmets for automatic safety management.

[0038] Specifically, this step includes: 1. Use smart safety helmets for work area management.

[0039] During operation, the smart safety helmet determines whether it has exceeded the restricted area of ​​the electronic fence based on its own coordinate information and the coordinate information of the electronic fence. If so, the smart safety helmet will issue an audible and visual alarm signal.

[0040] 2. Use smart safety helmets to manage the wearing of safety tools by workers.

[0041] Smart safety helmets can be used to manage the wearing of safety equipment such as safety helmets, safety ropes, insulated gloves, and insulated boots by workers.

[0042] The smart safety helmet itself can monitor whether it is being worn at the work site. The sensor module of the smart safety helmet includes one or more of the following sensors: a thin-film pressure sensor, a capacitive human proximity sensor, and a temperature sensor, all located inside the chin strap. The smart safety helmet determines its proximity to the work site based on its own location information; if so, it continuously monitors whether it is being worn. If the thin-film pressure sensor does not detect contact pressure, the capacitive human proximity sensor does not detect a human body, or the temperature sensor does not detect human body temperature, it indicates that the smart safety helmet is not being worn or the chin strap is not fastened (not worn correctly). At this time, the smart safety helmet will issue an audible and visual alarm signal.

[0043] Smart safety helmets can also monitor the wearing of safety equipment by workers. The smart safety helmet continuously collects image data using a camera module. Utilizing deep learning, it first identifies the human body from the image data, then performs target detection in the vicinity of the target person's area to determine if the characteristic information of safety equipment is present. If no equipment is detected, it means the target person is not wearing the corresponding safety equipment. Then, based on the location information of other smart safety helmets, it determines which smart safety helmet the target person is wearing. Finally, the current smart safety helmet sends an alarm message to the target smart safety helmet, which then emits a gradually increasing audible and visual alarm signal (to avoid sudden noise disturbing the workers).

[0044] Furthermore, the smart helmet can also monitor the wearing of safety belts and the suspension of safety ropes for workers performing work at heights. The sensor module of the smart helmet also includes a barometric pressure sensor and a tilt sensor. The smart helmet continuously collects image data using a camera module. Using deep learning, it first identifies the human body from the image data and then determines whether the target person is performing work at height. If so, it performs target detection on the human body area to determine the presence of safety belt and safety rope features. If not detected, it determines the smart helmet worn by the target person based on the positioning information of other smart helmets. Finally, the current smart helmet sends an alarm message to the target smart helmet, which then emits an increasingly stronger audible and visual alarm signal. The method for determining whether the target person is performing work at height includes: the current smart helmet uses a barometric pressure sensor to obtain height information, and based on this height information, determines whether it has left the ground to perform work at height; then, it uses a tilt sensor to obtain its tilt information, and based on the tilt information, the size of the target human body area, and the target person's position in the image, it determines whether the target person is performing work at height. For example, the distance to the target human body can be roughly estimated based on the size of the target human body area. Then, the height of the target human body relative to itself can be roughly estimated based on the tilt angle and the position of the target human body in the image. Finally, it can be determined whether the target human body is working at height based on its own height.

[0045] The smart safety helmet can also monitor whether the wearer is wearing insulated gloves. If the maintenance project involves live-line work, insulated gloves must be worn. In this case, the smart safety helmet uses the collected image information to determine whether the wearer is wearing insulated gloves. If not, the smart safety helmet will issue an audible and visual alarm signal.

[0046] 3. Use smart safety helmets to manage work behavior.

[0047] The smart helmet continuously collects image information using a camera module. Utilizing deep learning, it first identifies the human body and its posture from the images. Based on the posture, it determines if the target person exhibits any abnormal posture or behavior (such as falling, excessive tilting, or crossing a safety fence). If so, it uses location information from other smart helmets to determine which helmet the target person is wearing. Finally, the current smart helmet sends an alarm message to the target helmet, which then emits an increasingly stronger audible and visual alarm signal.

[0048] In step S6, the method for determining the smart safety helmet worn by the target person based on the location information of other smart safety helmets includes: the current smart safety helmet sends a location information request broadcast within the group to obtain the location information of other smart safety helmets in the group; the current smart safety helmet determines the smart safety helmet worn by the target person based on its own location information, orientation information, the location information of other smart safety helmets, the location of all detected human bodies in the image, and the location of the target person in the image.

[0049] In step S6, all alarm events are also simultaneously sent to the main control helmet to trigger its alarm. When a smart helmet detects an alarm event from its own wearer, in addition to emitting an audible and visual alarm signal, it also simultaneously sends an alarm message to the main control helmet. When a smart helmet detects an alarm event from another worker, in addition to sending an alarm signal to the target worker's smart helmet, it also simultaneously sends an alarm message to the target worker's smart helmet. After receiving the alarm message, the main control helmet retrieves the associated worker based on the smart helmet ID that sent the alarm message, and then, according to the type of alarm message, issues a corresponding audible alarm, such as "XXX," to alert the maintenance supervisor.

[0050] In step S6, the sound and light alarm signal emitted by the smart safety helmet can alert the wearer and other workers in the vicinity. Other workers can accurately identify the violator based on the flashing alarm signal, thus enabling mutual supervision among workers.

[0051] At the work site, the maintenance supervisor is responsible for overall command and can move around and adjust their position, with a field of view covering most of the work area. Therefore, the master control helmet is more conducive to overall safety management. Compared with other smart helmets, the master control helmet preferably uses a higher pixel or wide-angle, auto-zoom camera module and a higher performance processor module to improve overall recognition capabilities. Since other workers are close to each other, the features of the target to be detected are more obvious in the captured images. Therefore, the smart helmet worn by the workers does not require a very high pixel camera module to capture the necessary image data.

[0052] In step S6, the functions of recognizing human bodies, human postures, and safety equipment based on image data are implemented using deep learning methods. Considering the overall computing power impact of the processor module in the smart safety helmet, the YOLO model or a lightweight variant of the YOLO model is preferred. The various functional steps in step S6 are not executed independently; the same functions or data are shared among the functional steps.

[0053] In this embodiment, steps S1-S5 can be conducted during the pre-shift meeting before the operation, and some functions can be directly implemented using the control terminal. Step S6 is executed at the work site, at which point the control terminal is not required; the relevant data transmission and processing are handled by the networked smart safety helmet. Simultaneously, after the operation is completed, the main control safety helmet reconnects to the control terminal to transmit the relevant data from the work site to the control terminal, which then stores it locally or sends it to the cloud for storage.

[0054] It should be noted that the numbers of the relevant steps in this embodiment do not represent the order of execution, and any changes in the order of the above steps made by those skilled in the art do not depart from the protection scope of this invention.

[0055] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Any other modifications or equivalent substitutions made by those skilled in the art to the technical solutions of the present invention, as long as they do not depart from the spirit and scope of the technical solutions of the present invention, should be covered within the scope of the claims of the present invention.

Claims

1. A smart safety helmet-based substation maintenance management method, characterized in that, The application relates to a method for matching and associating a smart safety helmet with an operation personnel, and a method for safety control by using the smart safety helmet. The method comprises the following steps: analyzing a maintenance operation work ticket to obtain a maintenance item, operation personnel and an operation area; completing local networking by the smart safety helmet worn by the operation personnel; matching and associating the smart safety helmet with the operation personnel; determining an electronic fence according to the operation area, and synchronizing coordinate information of the electronic fence to all the smart safety helmets in a group; 2. The smart safety helmet-based substation maintenance management method according to claim 1, characterized in that, controlling safety in an operation site by using the smart safety helmet. The method for matching and associating the smart safety helmet with the operation personnel comprises the following steps: collecting image information of a head of another operation personnel by the smart safety helmet worn by the operation personnel; judging whether the target personnel wears the smart safety helmet according to the image information; if yes, identifying target personnel information from the image information by using a face recognition mode; judging whether the target personnel exists in a list of operation personnel parsed from the work ticket according to the target personnel information; 3. The smart safety helmet based substation maintenance management method according to claim 1, characterized in that, if yes, associating the smart safety helmet in front of the current smart safety helmet with the target personnel through positioning information, orientation information of the current smart safety helmet and positioning information of other smart safety helmets. The method for safety control by using the smart safety helmet comprises the following steps: controlling an operation area according to the positioning information of the smart safety helmet and the coordinate information of the electronic fence; controlling safety tools worn by the operation personnel; 4. The smart safety helmet-based substation maintenance management method according to claim 3, characterized in that, controlling operation behaviors according to the collected image information. The method for controlling safety tools worn by the operation personnel comprises the following steps: monitoring the smart safety helmet by the smart safety helmet; monitoring safety tools of the operation personnel according to the collected image information; 5. The smart safety helmet-based substation maintenance management method according to claim 4, characterized in that, monitoring a safety belt and a safety rope of a climbing operation personnel according to the collected image information. The method for monitoring safety tools of the operation personnel according to the collected image information comprises the following steps: identifying a human body from the collected image data by the smart safety helmet; judging whether feature information of the safety tools to be detected exists near the target human body in the image; if not, determining a target smart safety helmet corresponding to the target human body; 6. The smart safety helmet based substation maintenance management method according to claim 4, characterized in that, sending alarm information to the target smart safety helmet by the current smart safety helmet. The method for monitoring a safety belt and a safety rope of a climbing operation personnel according to the collected image information comprises the following steps: identifying a human body from the collected image data by the smart safety helmet; judging whether the target human body is engaged in climbing operation; if yes, judging whether feature information of the safety belt and the safety rope exists near the target human body in the image; if not, determining a target smart safety helmet corresponding to the target human body; 7. The smart safety helmet based substation maintenance management and control method according to claim 3, characterized in that, sending alarm information to the target smart safety helmet by the current smart safety helmet. The method for controlling operation behaviors according to the collected image information comprises the following steps: identifying a human body and a human body posture from the image information; judging whether the target personnel has an abnormal posture or an abnormal behavior according to the human body posture; if yes, determining a target smart safety helmet corresponding to the target human body; 8. The smart safety helmet based substation maintenance management method according to any one of claims 5-7, characterized in that, sending alarm information to the target smart safety helmet by the current smart safety helmet. The method for determining the target smart safety helmet corresponding to the target human body comprises the following steps: sending a positioning information request broadcast in the group by the current smart safety helmet, and obtaining positioning information of other smart safety helmets in the group. The current intelligent safety helmet determines the intelligent safety helmet corresponding to the target human body according to the positioning information, orientation information of the intelligent safety helmet itself, the positioning information of other intelligent safety helmets, and the positions of all human bodies and the target human body in the image.

9. The smart safety helmet based substation maintenance management method according to any one of claims 5-7, characterized in that, Further comprising: The current intelligent safety helmet synchronously sends alarm information to the main control safety helmet worn by the maintenance person in charge.

10. The smart safety helmet based substation maintenance management and control method according to claim 9, characterized in that, Further comprising: After receiving the alarm information sent by other intelligent safety helmets, the intelligent safety helmet sends gradually enhanced voice reminders and flashing signals.