CN111640282A - Method, system and device for monitoring safety distance of personnel in power distribution room - Google Patents
Method, system and device for monitoring safety distance of personnel in power distribution room Download PDFInfo
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- CN111640282A CN111640282A CN202010478059.7A CN202010478059A CN111640282A CN 111640282 A CN111640282 A CN 111640282A CN 202010478059 A CN202010478059 A CN 202010478059A CN 111640282 A CN111640282 A CN 111640282A
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
Abstract
The application provides a method for monitoring the safety distance of personnel in a power distribution room, which comprises the following steps: determining the safe distance between a power distribution cabinet and a safety line in a power distribution room; acquiring images containing personnel positions and power distribution cabinet positions in a power distribution room in real time; processing the image to obtain a real-time distance between the position of a person in the image and the position of the power distribution cabinet, judging whether the person in the power distribution cabinet is safe or not according to the real-time distance and the safety distance, if the real-time distance is larger than or equal to the safety distance, the safety is ensured, and if the real-time distance is smaller than the safety distance, the safety is ensured. The application is based on the image recognition technology, thereby the operating personnel who will extract in the image and the safety warning line calculate the actual distance between operating personnel and the safety warning line to set up and exceed the specified value and then carry out the early warning through alarm equipment, can the electricity distribution room personnel patrol and examine, visit, when watching value, realize the intelligent early warning of safe distance, promote the reliability and the safety line of the whole operation of distribution substation room.
Description
Technical Field
The application belongs to the technical field of power monitoring, and particularly relates to a method, a system and a device for monitoring the safety distance of personnel in a power distribution room.
Background
In the electric power monitoring field, in order to guarantee the steady operation of power equipment, need personnel to patrol and examine or inspect distribution equipment. Meanwhile, in order to ensure sustainability of electric power, the power distribution equipment is generally a live patrol operation. In order to ensure the safety of personnel, when patrolling and examining, the personnel of patrolling and examining need to keep safe distance with distribution equipment. When the power distribution room is maintained, related warning boards must be hung, two persons carry out the maintenance, one person carries out the monitoring, and one person can carry out the monitoring, but other on-duty personnel must be informed to keep a distance of more than 0.7 m with the detected equipment. However, in the prior art, only a safety distance yellow line is arranged in the power distribution room for alerting the inspection personnel, and no other measures are provided.
If realize patrolling and examining the distance detection of personnel and switch board, need distance sensor to patrol and examine the distance of personnel and switch board with the perception usually, most distance sensor is based on infrared ray or ultrasonic wave and realizes, although this type of sensor is more accurate to the perception of distance, but effective sensing distance is shorter, and uses distance sensor can increase corresponding cost.
Disclosure of Invention
The application aims to provide a method, a system and a device for monitoring the safety distance of personnel in a power distribution room, so as to solve any one of the problems.
In a first aspect, the technical solution provided by the present application is: a method of monitoring personnel safety distances in a power distribution room, the method comprising:
determining the safe distance between a power distribution cabinet and a safety line in a power distribution room;
acquiring images containing personnel positions and power distribution cabinet positions in a power distribution room in real time;
processing the image to obtain a real-time distance between the position of a person in the image and the position of the power distribution cabinet, judging whether the person in the power distribution cabinet is safe or not according to the real-time distance and the safety distance, if the real-time distance is larger than or equal to the safety distance, the safety is ensured, and if the real-time distance is smaller than the safety distance, the safety is ensured.
In the method, when the personnel in the power distribution room are judged to be unsafe, the alarm is given.
In the method, before whether the personnel in the power distribution room are safe is judged according to the real-time distance and the safe distance, deep learning training is further carried out on the safe distance and the real-time distance in the existing image.
On the other hand, the technical scheme provided by the application is as follows: a system for monitoring personnel safety distances in a power distribution room, the system comprising:
the image generation module is used for generating images containing personnel positions and power distribution cabinet positions in the power distribution cabinet in real time;
and the data processing module is used for processing the image to obtain the real-time distance between the position of the personnel in the image and the position of the power distribution cabinet, judging whether the personnel in the power distribution cabinet are safe or not according to the real-time distance and the safety distance, if the real-time distance is greater than or equal to the safety distance, the safety is ensured, and if the real-time distance is less than the safety distance, the safety is ensured.
In the system of this application, still include and report an emergency and ask for help or increased vigilance the module, report an emergency and ask for help or increased vigilance the module and be used for reporting an emergency and asking for help or increased vigilance when judging that the personnel in the electricity distribution room are unsafe.
In the system of this application, still include the deep learning module, the deep learning module is arranged in judging whether the personnel in the electricity distribution room are safe according to real-time distance and safe distance and carries out the deep learning training to the real-time distance in safe distance and the current image before.
In a final aspect, the present application provides the following technical solutions: a distribution room personnel safety distance monitoring device, the device comprising:
the image acquisition camera is used for acquiring images containing personnel positions and power distribution cabinet positions in the power distribution cabinet in real time;
and the data processing server is used for processing the image to obtain the real-time distance between the position of the personnel in the image and the position of the power distribution cabinet, judging whether the personnel in the power distribution cabinet are safe or not according to the real-time distance and the safety distance, if the real-time distance is greater than or equal to the safety distance, the safety is ensured, and if the real-time distance is less than the safety distance, the safety is ensured.
In the device of this application, still include alarm device, alarm device installs in the distribution room for report an emergency and ask for help or increased vigilance when judging that the personnel in the distribution room are unsafe.
In the device of this application, still include the deep learning server, the deep learning server is arranged in judging whether the personnel in the electricity distribution room are safe according to real-time distance and safe distance carries out the deep learning training to the real-time distance in safe distance and the current image before.
This application is based on image recognition technology, can solve personnel in the distribution room and patrol and examine, visit, the safe distance monitoring and the early warning in the aspect of on duty etc. reduce artifical participation, can realize monitoring in all weather.
Drawings
In order to more clearly illustrate the technical solutions provided by the present application, the following briefly introduces the accompanying drawings. It is to be expressly understood that the drawings described below are only illustrative of some embodiments of the invention.
Fig. 1 is a schematic diagram of a method for monitoring the safety distance of personnel in a power distribution room.
Fig. 2 is this application's interior personnel safety distance monitoring devices schematic diagram.
Fig. 3 is a schematic diagram of a system for monitoring the safety distance of personnel in a power distribution room.
Fig. 4 is a schematic diagram of the system for determining the personnel safety state.
FIG. 5 is a schematic diagram of the system of the present application for determining unsafe conditions of a person.
Detailed Description
In order to make the implementation objects, technical solutions and advantages of the present application clearer, the technical solutions in the embodiments of the present application will be described in more detail below with reference to the drawings in the embodiments of the present application.
In order to overcome the defect that in the prior art, patrol personnel in a power distribution station do not have effective safe distance line-crossing reminding during working, the method, the system and the device for monitoring the safe distance of the personnel in the power distribution room based on the camera are provided, so that the patrol personnel can be warned to mistakenly enter the safe distance of power distribution.
As shown in fig. 1, the present application first provides a method for monitoring a safe distance between personnel in a power distribution room based on a camera device, where the method includes the following steps:
firstly, based on the safety distance yellow line in front of the power distribution cabinet in the power distribution room, the functional relation of the safety distance between the safety distance yellow line and the power distribution cabinet can be established. It should be noted that the measurement of the safe distance is performed based on the real environment in the power distribution room, and the safe distance may be measured by a tape measure, for example.
And then, acquiring an image containing the positions of the personnel and the power distribution cabinet in the power distribution cabinet through the image acquisition device, analyzing the image, calculating the real-time distance between the target portrait in the image and the power distribution cabinet, comparing the real-time distance with a standard safety distance, and judging whether the target personnel is safe or not. Through analysis, the purpose of detecting whether the personnel are safe can be achieved.
In the present application, when it is determined that a person is unsafe after analysis from an image, an alarm needs to be given. The alarm object may include not only personnel in the distribution room but also monitoring personnel.
In addition, according to the portrait safety distance monitoring method based on the image acquisition device, firstly, a camera needs to be trained, so that the camera can identify people and objects and accurately monitor the positions of the people; secondly, before formal monitoring, deep learning is carried out according to the measured safety distance and the existing image containing the distance between the personnel and the power distribution cabinet, so that the accuracy of identification and analysis is improved.
The method of the application does not need to use a distance sensor in the whole detection process, and only needs to utilize the existing camera in the distribution room to detect lessons with the safety distance yellow line level, so that the cost is low, and the detection distance is farther compared with the existing distance sensor as long as the camera can shoot images to detect.
To implement the above method, the present application is mainly explained in the following two aspects.
The first aspect is a hardware aspect for implementing the method, that is, the device for monitoring the safe distance of personnel in the power distribution room, as shown in fig. 2, the device mainly includes: the system comprises an image acquisition camera and a data processing server, wherein the image acquisition camera is used for acquiring images of positions of inspection personnel and a power distribution cabinet in a power distribution room in real time, the data processing server is used for processing the images acquired by the image acquisition camera, calculating the real-time distance between the inspection personnel and the power distribution cabinet in each frame of image after extracting the data in the images frame by frame, judging whether the inspection personnel are safe or not according to the real-time distance and the safe distance between the safety line and the power distribution cabinet, when the calculated real-time distance is not less than the safe distance, judging that the inspection personnel are safe, and when the calculated real-time distance is less than the safe distance, judging that the inspection personnel are unsafe.
The data processing server may be further subdivided into an image processing server, a distance analysis server, and the like according to the completed content.
The monitoring device of this application still includes alarm device among, when judging that the distance of patrolling and examining personnel apart from the switch board in the switch board is unsafe, the alarm device who sets up in the switch board then reports to the police. The alarm mode can be a voice alarm, namely, the alarm reports that a user goes beyond the line and please return to the safety line, or the alarm reminds people in the room through light flashing and other modes.
In addition, the monitoring device of the application further comprises a deep learning server, wherein the deep learning server is used for conducting deep learning training on the safety distance and the real-time distance in the existing image before judging whether the personnel in the power distribution room are safe according to the real-time distance and the safety distance, so that the monitoring accuracy is improved.
It should be noted that the monitoring device of the present application further includes a display and other devices, which are used for monitoring and displaying the collected image or the power distribution room.
The second aspect is a software aspect mainly illustrating the implementation of the above method, that is, the system for monitoring the safe distance of personnel in the power distribution room provided by the present application, as shown in fig. 3, the system mainly includes: the image generation module is used for generating images containing personnel positions and power distribution cabinet positions in the power distribution cabinet in real time; and the data processing module is used for processing the image to obtain the real-time distance between the position of the personnel in the image and the position of the power distribution cabinet, judging whether the personnel in the power distribution cabinet are safe or not according to the real-time distance and the safety distance, if the real-time distance is greater than or equal to the safety distance, the safety is ensured, and if the real-time distance is less than the safety distance, the safety is ensured.
As shown in fig. 4 and 5, the left part is the image generated by the image generation module, and the image contains the power distribution equipment and the safety line. When the inspection personnel enter, the images of the colleagues with the three can be captured.
The video data collected by the camera is extracted frame by frame, and the safety line is identified and the operation safety distance is calculated by preprocessing and object detection on the image data, so that whether an operator is in the safety operation distance is monitored and pre-warned.
The system is based on object detection and recognition of a deep learning technology, and prior data (including safety line distance and personnel border crossing or non-border crossing images) are trained through a deep learning module before formal use. The operation safety line can be identified through the training of the existing data, and the corresponding operation distance judgment is carried out, so that the operation personnel can operate in the safe operation distance, and the safety problem of the operation personnel is guaranteed.
The system interface consists of three parts, namely a system title at the top, an alarm window at the left side and a video display at the right side. The title box displays the system name and the alarm box displays the alarm information.
When the operation out-of-range is not detected, the system window keeps a safe distance state, image information obtained through monitoring is played in real time, personnel is marked as a green frame, and the track of the personnel is tracked in real time.
When the system monitors that an operator is out of range, the left alarm window part displays an 'operating distance violation' as a red frame, and simultaneously displays a label content above the operator in the left real-time tracking frame, wherein the label content is 'out of range', the tracking mark frame is red or yellow, and meanwhile, the picture frame is intercepted and reserved, and the system alarms to prompt the operating distance violation, and stops early warning after the system returns to a normal state.
The utility model provides a personnel safe distance monitoring method in electricity distribution room, system and device are based on image recognition technology, and carry out the training based on the deep neural network model to the image of gathering, thereby the operating personnel who will extract in the image and the safety warning line come the actual distance between calculation operating personnel and the safety warning line, and set up and exceed the specified value then early warning through alarm equipment, can the electricity distribution room personnel patrol and examine, visit, the value is kept watch on, realize the intelligent early warning of safe distance, promote the reliability and the safe line of the whole operation of electricity distribution room, reduce danger and accident because the human factor causes, further strengthen or assist the safe action monitoring and the early warning work of electricity distribution room, promote the security of station electricity distribution room and the stability of power supply.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present application should be covered within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (9)
1. A method for monitoring the safety distance of personnel in a power distribution room is characterized by comprising the following steps:
determining the safe distance between a power distribution cabinet and a safety line in a power distribution room;
acquiring images containing personnel positions and power distribution cabinet positions in a power distribution room in real time;
processing the image to obtain a real-time distance between the position of a person in the image and the position of the power distribution cabinet, judging whether the person in the power distribution cabinet is safe or not according to the real-time distance and the safety distance, if the real-time distance is larger than or equal to the safety distance, the safety is ensured, and if the real-time distance is smaller than the safety distance, the safety is ensured.
2. The method for monitoring the safe distance between the personnel in the power distribution room as claimed in claim 1, wherein when the personnel in the power distribution room is judged to be unsafe, an alarm is given.
3. The method for monitoring the safe distance of the personnel in the power distribution room as claimed in claim 1, wherein before judging whether the personnel in the power distribution room are safe according to the real-time distance and the safe distance, the method further comprises deep learning training of the safe distance and the real-time distance in the existing image.
4. A system for monitoring the safe distance of personnel in a power distribution room, the system comprising:
the image generation module is used for generating images containing personnel positions and power distribution cabinet positions in the power distribution cabinet in real time;
and the data processing module is used for processing the image to obtain the real-time distance between the position of the personnel in the image and the position of the power distribution cabinet, judging whether the personnel in the power distribution cabinet are safe or not according to the real-time distance and the safety distance, if the real-time distance is greater than or equal to the safety distance, the safety is ensured, and if the real-time distance is less than the safety distance, the safety is ensured.
5. The system for monitoring the safe distance between personnel in the power distribution room as claimed in claim 4, further comprising an alarm module for giving an alarm when the personnel in the power distribution room are determined to be unsafe.
6. The system for monitoring the safe distance between the personnel in the power distribution room as claimed in claim 4, further comprising a deep learning module for deep learning training the safe distance and the real-time distance in the existing image before judging whether the personnel in the power distribution room are safe according to the real-time distance and the safe distance.
7. A distribution room personnel safety distance monitoring device, its characterized in that, the device includes:
the image acquisition camera is used for acquiring images containing personnel positions and power distribution cabinet positions in the power distribution cabinet in real time;
and the data processing server is used for processing the image to obtain the real-time distance between the position of the personnel in the image and the position of the power distribution cabinet, judging whether the personnel in the power distribution cabinet are safe or not according to the real-time distance and the safety distance, if the real-time distance is greater than or equal to the safety distance, the safety is ensured, and if the real-time distance is less than the safety distance, the safety is ensured.
8. The device for monitoring the safe distance between the personnel in the power distribution room as claimed in claim 7, further comprising an alarm device installed in the power distribution room for alarming when the personnel in the power distribution room are determined to be unsafe.
9. The electrical distribution room personnel safety distance monitoring device of claim 7, further comprising a deep learning server for deep learning training of the safety distance and the real-time distance in the existing image before determining whether the personnel in the electrical distribution room are safe according to the real-time distance and the safety distance.
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Cited By (2)
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| CN115311831A (en) * | 2022-08-01 | 2022-11-08 | 太湖流域管理局苏州管理局 | Electrical cabinet monitoring system and method |
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