Electric power operation site safety intelligent monitoring system

Abstract

The invention relates to the technical field of electric power production, in particular to an electric power operation site safety intelligent monitoring system which comprises an intelligent wearable device, a service management platform, an operation monitoring module and a data analysis platform. The intelligent wearable device is used for monitoring in the operation process of the employee; the business management platform comprises an employee information module, a task arrangement module and a progress information module and is used for job management of employees; the information base is used for storing data of the equipment and providing collaborative information for the task arrangement module; the data analysis platform comprises a working state analysis module and a progress analysis module, and the working state analysis module is used for analyzing the state of the staff in the operation process according to the intelligent wearable device; and the progress analysis module is used for acquiring progress information. According to the electric power operation site safety intelligent monitoring system, electric power operation employees can be monitored, the safety of the employees is ensured, and meanwhile, the operation quality and efficiency can be ensured.

Description

Technical Field

[0001] The invention relates to the technical field of electric power production, and in particular to an intelligent safety monitoring system for electric power operation sites. Background Art

[0002] Electricity production refers to the process of converting various primary energy sources into electrical energy and transmitting and distributing it to users, including power generation, transmission, distribution, transformation and electricity sales. In order to ensure the stable production and operation of electricity, it is necessary to regularly inspect equipment and promptly repair faulty equipment.

[0003] However, the power industry is a high-risk industry. There are many risks in the process of inspection and maintenance. If employees are negligent, personal injury accidents will occur, causing immeasurable losses to individuals, families, and units. In order to improve the progress of the work, on-site operators often ignore safety. At the same time, the equipment is generally set up in a remote environment, so it is difficult to supervise the safety of employees, which leads to frequent illegal operations and illegal operations at the power operation site, and even safety accidents. Summary of the invention

[0004] In order to solve the above problems, the present invention provides an intelligent safety monitoring system for power operation sites, which can monitor power operation workers to ensure their safety while ensuring the quality and efficiency of the operations.

[0005] In order to achieve the above object, the technical solution adopted by the present invention is:

[0006] An intelligent safety monitoring system for power operation sites, including intelligent wearable devices, a business management platform, an information database and a data analysis platform;

[0007] The smart wearable device includes a monitoring helmet, a monitoring bracelet and a terminal. The monitoring helmet is provided with a camera module and a sensor module for obtaining equipment information and environmental information during the operation process; the monitoring bracelet is used for obtaining the physical information of the operator during the operation process; and the terminal is used for data interaction with the business management platform.

[0008] The business management platform includes an employee information module, a task scheduling module and a progress information module.

[0009] The employee information module is used to record the employee's identity information, group information and physical information, and the employee information module is associated with the smart wearable device so that the smart wearable device is paired with the employee;

[0010] The task scheduling module is used to acquire data from the employee information module, so as to schedule inspection and maintenance work according to the employee information;

[0011] The progress information module is used to input the progress of job completion;

[0012] The information database is used to store equipment basic information data, equipment historical inspection data and equipment historical maintenance data, so as to provide collaborative information for the task scheduling module;

[0013] The data analysis platform includes a work status analysis module and a progress analysis module. The work status analysis module is used for acquiring data from the smart wearable device to monitor the physical state and environmental information of personnel; the progress analysis module is used for acquiring data from the smart wearable device and the business management platform to acquire video data of the operation process through the camera module, and the progress analysis module extracts image data from the video data, and obtains the operation completion progress data by pairing the image data with the task scheduling module. The progress analysis module sends the progress data to the progress information module.

[0014] Furthermore, the task scheduling module plans the work tasks to be completed according to the group information and physical information of the employees, so as to formulate the daily planned inspection route data for each employee;

[0015] The task scheduling module is also used to receive a fault notification, and the task scheduling module pairs the fault notification data with the data in the information base to obtain the cause of the equipment fault and the maintenance coordination information of the equipment maintenance coordination.

[0016] Furthermore, the task scheduling module obtains a list of on-duty maintenance staff according to the inspection staff information corresponding to the required maintenance equipment, and the task scheduling module sends the maintenance coordination information to the terminal of the maintenance staff;

[0017] The task scheduling module is also used to acquire data from the smart wearable device and the information library, and the task scheduling module builds a neural network prediction model through distance data, geographic location, basic equipment information and historical equipment maintenance data. The task scheduling module calculates the time required for equipment maintenance based on the location of the equipment being maintained, the location of the maintenance staff and the maintenance coordination information.

[0018] Furthermore, the information database is provided with data of inspection step videos and maintenance step videos;

[0019] It also includes an operation management platform, which includes an inspection scoring module and a maintenance scoring module.

[0020] The inspection scoring module is used for data acquisition of the progress analysis module to obtain inspection progress completion ratio data; the inspection scoring module is used for data acquisition of the information database and the smart wearable device to obtain actual inspection line data and on-site inspection video data through the smart wearable device, and the inspection scoring module compares the planned inspection line data with the actual inspection line data and compares the inspection step video data with the on-site inspection video data to obtain the line difference degree and the inspection operation difference degree, and the inspection scoring module sets corresponding coefficients for the progress completion ratio data, the line difference degree and the inspection operation difference degree, and calculates and obtains the inspection score within a preset time period;

[0021] The maintenance scoring module is used for data acquisition of the progress analysis module to obtain maintenance progress completion ratio data;

[0022] The maintenance scoring module is used for data acquisition from the information base and the smart wearable device to obtain an on-site maintenance operation video through the smart wearable device, and the maintenance scoring module compares the maintenance step video with the on-site maintenance operation video to obtain the operation similarity and step similarity, respectively, and the maintenance scoring module sets corresponding coefficients for the maintenance progress completion ratio data, the operation similarity and the step similarity, and calculates the maintenance score within a preset time period.

[0023] Furthermore, the maintenance scoring module is also used to obtain the interval duration of equipment maintenance. The maintenance scoring module obtains the theoretical normal operation duration of the equipment through the information base data and according to the geographical location information of the equipment and the usage information of the equipment; the maintenance scoring module obtains the actual normal operation duration by obtaining the time between two adjacent failures of the equipment;

[0024] When the actual normal operation time is greater than the theoretical normal operation time, the maintenance scoring module calculates the maintenance reward score according to the ratio of the theoretical normal operation time to the actual normal operation time; when the actual normal operation time is less than the theoretical normal operation time, the maintenance penalty score is calculated.

[0025] Furthermore, the operation management platform further includes an exception handling module, which is used for acquiring data from the inspection scoring module and the maintenance scoring module, and marking the operations corresponding to the inspection scores and the maintenance scores that are lower than the scoring threshold as abnormal items;

[0026] The information database is also used for storing physical activity index data;

[0027] The exception handling module sets a standard body index range for employees of different age groups according to the physical activity indicators of different intensities, and the exception handling module obtains the data of the smart wearable device corresponding to the abnormal item to compare the physical information data, heart rate data, and blood pressure data of the employees during the operation with the corresponding standard body index range to determine whether the progress of the employees is affected by their physical condition.

[0028] Furthermore, the exception handling module is also used to obtain working environment information through the smart wearable device, and the exception handling module obtains various environmental impact values ​​based on the ratio of various data of the working environment information to the corresponding environmental standard value. The exception handling module calculates the environmental adjustment coefficient based on the various environmental impact values, and the exception handling module adjusts the standard body index range through the environmental adjustment coefficient.

[0029] Furthermore, the working status analysis module includes an operation safety analysis submodule and an environmental safety analysis submodule.

[0030] The operation safety analysis submodule obtains the vibration data and acceleration data of the monitoring helmet through the sensor module, and the operation safety analysis submodule obtains the employee's heart rate data and the employee's blood pressure data through the monitoring bracelet; the operation safety analysis submodule analyzes the vibration data, the acceleration data, the heart rate data, and the blood pressure data, and determines that an operation accident has occurred when any data of the sensor module is greater than a first safety threshold and all data of the monitoring bracelet are greater than a second safety threshold, and the safety analysis submodule obtains the employee's location information through the monitoring bracelet and sends an alarm signal;

[0031] The environmental safety analysis submodule is used to obtain the working environment quantity value through the sensor module, so as to send a reminder signal to the monitoring bracelet when the working environment quantity value is greater than a third safety threshold.

[0032] Furthermore, the business management platform also includes a pre-job preparation module, which is used for data acquisition of the task scheduling module, and the pre-job preparation module extracts job keywords from the task scheduling module, and the pre-job preparation module matches the job keywords with the information library to obtain information on tool images required for the job;

[0033] The pre-job preparation module uses the camera module to shoot the tools required for the job to obtain a tool preparation image, and the pre-job preparation module compares the tool preparation image with the image of the tools required for the job to determine whether the type and quantity of the tools carried by the employee correspond to the tools required for the job.

[0034] Furthermore, the monitoring safety helmet comprises a cap body, a fixing box is arranged in front of the outer wall of the cap body, a box cavity is arranged in the fixing box, and a window of transparent material is arranged on a side of the fixing box facing away from the cap body;

[0035] The camera module includes a camera, which is arranged in the box cavity and connected to the fixed box through a connecting mechanism, the connecting mechanism includes an adjusting motor and a connecting shaft, the output shaft of the adjusting motor is connected to one end of the connecting shaft through a reducer, the end of the connecting shaft away from the reducer is connected to the camera through the adjusting frame, and the camera faces the window;

[0036] The adjustment frame includes a connecting plate and an electric telescopic rod, wherein two connecting plates are provided, and three electric telescopic rods are provided. The three electric telescopic rods are evenly arranged between the two connecting plates, and the electric telescopic rods are respectively fixedly connected to the connecting plates; the two connecting plates are respectively fixedly connected to the connecting shaft and the camera;

[0037] A placement box is fixedly arranged on the outer wall of the fixing box, and the placement box is used for placing the sensor module;

[0038] A controller and a gyroscope are provided in the fixed box. The controller is electrically connected to the gyroscope, the electric telescopic rod and the adjusting motor respectively, and the controller is communicatively connected to the business management platform, the operation monitoring module and the data analysis platform.

[0039] The beneficial effects of the present invention are:

[0040] 1. Through the task scheduling module and according to the employee information provided by the employee information module, appropriate work tasks are arranged for the employees of the corresponding group to ensure the safe and smooth progress of the inspection and maintenance work. Under the action of the work status analysis module, the camera module set in the monitoring helmet can obtain the video data of the employee's work process, so as to facilitate the subsequent judgment of the employee's work operation. The sensor module can obtain the environmental quantity information in the working environment, which can ensure that the employee can work in a safe environment; the monitoring bracelet is used to monitor the employee's heart rate and blood pressure data, so as to determine whether the employee is physically uncomfortable during the work process. At the same time, the progress analysis module uses the data of the camera module and the data of the information database to accurately judge the progress information of the work task, so that the leader can supervise the work situation.

[0041] 2. By storing the inspection step videos and maintenance step videos in the information database, it can provide a basis for the inspection scoring module and the maintenance scoring module to increase the work enthusiasm of employees under the premise of ensuring safety. The inspection scoring module obtains the on-site inspection video data through the camera module and the route data of the employees through the monitoring bracelet. The inspection scoring module compares and analyzes the inspection route information, inspection operation information, planned inspection line data and inspection step videos, and can obtain the line difference degree and the inspection operation difference degree, so as to calculate the inspection score within the preset time period through the line difference degree and the inspection operation difference degree. The maintenance scoring module compares the maintenance step video with the on-site maintenance operation video through the video module data and the information database data, so as to obtain the operation similarity degree and the step similarity degree, and calculate the maintenance score according to the operation similarity degree and the step similarity degree; and the maintenance scoring module analyzes the equipment type, equipment use information, equipment location information, and equipment usage time to obtain the theoretical normal operation time of the equipment. When the actual normal operation time is greater than the theoretical normal operation time, the responsible employee is rewarded. The present invention can score the work conditions of employees through the inspection scoring module and the maintenance scoring module, and can monitor the work conditions of employees without the need for on-site supervision by management personnel, and is suitable for power operation tasks in remote geographical locations.

[0042] 3. The work safety analysis submodule uses the data from the sensor module and the monitoring bracelet to monitor the employees' work safety. When one of the vibration data and acceleration data is greater than the first safety threshold, it proves that the monitoring helmet has fallen off or the employee has an accident. Then the heart rate data and blood pressure data are obtained through the monitoring bracelet. When the heart rate data and blood pressure data are both greater than the second safety threshold, it proves that the employee is in a frightened state. At the same time, combined with the data from the sensor module, it can accurately determine whether the employee has an accident, so that managers can discover it in time when an employee has an accident. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 It is a structural block diagram of an intelligent safety monitoring system for power operation sites according to a preferred embodiment of the present invention.

[0044] Figure 2 The present invention is a schematic diagram of the structure of a monitoring helmet of an intelligent monitoring system for safety at an electric power operation site according to a preferred embodiment of the present invention.

[0045] Figure 3 It is a schematic diagram of the structure of a fixing box of a power operation site safety intelligent monitoring system according to a preferred embodiment of the present invention.

[0046] In the figure, 1-smart wearable device, 2-business management platform, 21-employee information module, 22-task scheduling module, 23-progress information module, 24-pre-job preparation module, 3-information library, 4-data analysis platform, 41-work status analysis module, 411-job safety analysis submodule, 412-environmental safety analysis submodule, 42-progress analysis module, 5-job management platform, 51-inspection scoring module, 52-maintenance scoring module, 53-abnormal handling module, 6-cap body, 61-fixed box, 611-box cavity, 612-window, 62-adjusting motor, 621-connecting shaft, 622-reducer, 63-adjusting frame, 631-connecting plate, 632-electric telescopic rod, 64-placing box, 65-controller, 651-gyroscope, 66-battery, 7-camera. DETAILED DESCRIPTION

[0047] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0048] It should be noted that when a component is referred to as being "fixed to" another component, it may be directly on the other component or there may also be a component centered. When a component is considered to be "connected to" another component, it may be directly connected to the other component or there may also be a component centered. When a component is considered to be "set on" another component, it may be directly set on the other component or there may also be a component centered. The terms "vertical", "horizontal", "left", "right" and similar expressions used herein are for illustrative purposes only.

[0049] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art of the present invention. The terms used herein in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "and / or" used herein includes any and all combinations of one or more related listed items.

[0050] Please also see Figures 1 to 3 , a preferred embodiment of the present invention is a power operation site safety intelligent monitoring system, comprising a smart wearable device 1, a business management platform 2, an information library 3 and a data analysis platform 4;

[0051] The smart wearable device 1 includes a monitoring helmet, a monitoring bracelet and a terminal. The monitoring helmet is provided with a camera module and a sensor module for obtaining equipment information and environmental information during the operation process. The monitoring bracelet is used for the physical information of the operator during the operation process; the terminal is used for data interaction with the business management platform 2.

[0052] like Figure 2 and Figure 3 As shown, the monitoring safety helmet includes a cap body 6, a fixing box 61 is arranged in front of the outer wall of the cap body 6, a box cavity 611 is arranged in the fixing box 61, and a window 612 made of transparent material is arranged on the side of the fixing box 61 facing away from the cap body 6.

[0053] The camera module includes a camera 7, which is arranged in a box cavity 62 and connected to a fixed box 61 through a connecting mechanism. The connecting mechanism includes an adjusting motor 62 and a connecting shaft 621. The output shaft of the adjusting motor 62 is connected to one end of the connecting shaft 621 through a reducer 622. The end of the connecting shaft 621 away from the reducer 622 is connected to the camera 7 through an adjusting frame 63, and the camera 7 faces the window 612.

[0054] The adjustment frame 63 includes a connecting plate 631 and an electric telescopic rod 632. There are two connecting plates 631 and three electric telescopic rods 632. The three electric telescopic rods 632 are evenly arranged between the two connecting plates 631, and the electric telescopic rods 632 are fixedly connected to the connecting plates 631 respectively; the two connecting plates 631 are fixedly connected to the connecting shaft 621 and the camera 7 respectively.

[0055] A placement box 64 is fixedly provided on the outer wall of the fixing box 61, and the placement box 64 is used to place the sensor module. The sensor module includes a toxic gas sensor, a temperature sensor, a humidity sensor, and the like.

[0056] A controller 65 and a gyroscope 651 are provided in the fixed box 61 . The controller 65 is electrically connected to the gyroscope 651 , the electric telescopic rod 632 and the adjustment motor 62 respectively, and the controller 65 is communicatively connected to the business management platform 2 , the operation monitoring module 3 and the data analysis platform 4 .

[0057] The shooting angle of the camera 7 can be adjusted by adjusting the motor 62 to achieve tracking of the device. The controller adjusts the extension amount of the three electric telescopic rods 632 through the signal of the gyroscope 651, and can adjust the inclination of the camera 7, so that when the cap body 6 is tilted, the camera 7 can maintain horizontal shooting, so that the camera 7 can accurately capture the video information of the device, reducing the difficulty of subsequent video processing.

[0058] In the present embodiment, a lithium battery 66 and a Bluetooth module are also provided in the fixing box 61. The lithium battery 66 is electrically connected to the controller 65 so that the lithium battery 66 supplies power to various components through the controller 65. The Bluetooth module is connected to the business management platform 2, the operation monitoring module 3 and the data analysis platform 4 through the monitoring bracelet. The monitoring bracelet is an Android-based smart bracelet.

[0059] The business management platform 2 includes an employee information module 21 , a task scheduling module 22 and a progress information module 23 .

[0060] The employee information module 21 is used for data recording of employee identity information, group information and physical information, and the employee information module 21 is associated with the smart wearable device 1 so that the smart wearable device 1 is paired with the employee;

[0061] The task scheduling module 22 is used to obtain data from the employee information module 21 to schedule inspection and maintenance tasks based on the employee information;

[0062] The progress information module 23 is used to input the progress of the job completion.

[0063] The information base 3 is used to store equipment basic information data, equipment historical inspection data and equipment historical maintenance data to provide collaborative information for the task scheduling module 22. The equipment basic information data of this embodiment includes records of equipment model, equipment manual, maintenance plan and other data.

[0064] The data analysis platform 4 includes a work status analysis module 41 and a progress analysis module 42. The work status analysis module 41 is used to acquire data from the smart wearable device 1 to monitor the physical state and environmental information of the personnel; the progress analysis module 42 is used to acquire data from the smart wearable device 1 and the business management platform 2 to obtain video data during the operation through the camera module, and the progress analysis module 42 extracts image data from the video data, and obtains the operation completion progress data by pairing the image data with the task scheduling module 22. The progress analysis module 42 sends the progress data to the progress information module 23.

[0065] In this embodiment, the business management platform 2 further includes a pre-job preparation module 24, which is used for data acquisition of the task scheduling module 22, and the pre-job preparation module 24 extracts job keywords from the task scheduling module 22, and the pre-job preparation module 24 matches the job keywords with the information library 3 to obtain information on tool images required for the job;

[0066] The pre-job preparation module 24 uses a camera module to photograph the tools required for the job to obtain a tool preparation image, and the pre-job preparation module 24 compares the tool preparation image with the tool image required for the job to determine whether the type and quantity of tools carried by the employee correspond to the tools required for the job.

[0067] Under the action of the pre-operation preparation module 24, it is possible to monitor employees to make adequate preparations before the operation and to avoid accidents caused by forced operation by carrying sufficient tools, while ensuring the progress of the operation.

[0068] The working state analysis module 41 of this embodiment includes a work safety analysis submodule 411 and an environmental safety analysis submodule 412 .

[0069] The operation safety analysis submodule 411 obtains the vibration data and acceleration data of the monitoring safety helmet through the sensor module, and the operation safety analysis submodule 411 obtains the employee's heart rate data and employee blood pressure data through the monitoring bracelet; the operation safety analysis submodule 411 analyzes the vibration data, acceleration data, heart rate data, and blood pressure data, and determines that an operation accident has occurred when any data of the sensor module is greater than the first safety threshold and all data of the monitoring bracelet are greater than the second safety threshold, and the safety analysis submodule 411 obtains the employee's location information through the monitoring bracelet and sends an alarm signal.

[0070] The work safety analysis submodule 411 uses the data from the sensor module and the monitoring bracelet to monitor the employees' work safety. When one of the vibration data and the acceleration data is greater than the first safety threshold, it proves that the monitoring helmet has fallen off or the employee has an accident. Then the heart rate data and blood pressure data are obtained through the monitoring bracelet. When the heart rate data and the blood pressure data are both greater than the second safety threshold, it proves that the employee is in a frightened state. At the same time, combined with the data from the sensor module, it can accurately determine whether the employee has an accident, so that the management personnel can discover it in time when the employee has an accident.

[0071] The environmental safety analysis submodule 412 is used to obtain the working environment quantity value through the sensor module, so as to send a reminder signal to the monitoring wristband when the working environment quantity value is greater than the third safety threshold. The environmental safety analysis submodule 412 can ensure that employees work in a safe environment to avoid accidents.

[0072] In this embodiment, the task scheduling module 22 is used to arrange appropriate work tasks for employees of the corresponding group according to the employee information provided by the employee information module 21, so as to ensure the safe and smooth progress of the inspection and maintenance work. Under the action of the work status analysis module 41, the video data of the employee's work process can be obtained through the camera module set in the monitoring safety helmet, so as to facilitate the subsequent judgment of the employee's work operation. The environmental quantity information in the working environment can be obtained through the sensor module, so as to ensure that the employee can work in a safe environment; the heart rate and blood pressure data of the employee are monitored by the monitoring bracelet, so as to determine whether the employee is physically unwell during the work process. At the same time, the progress analysis module 42 uses the data of the camera module and the data of the information library 3 to accurately determine the progress information of the work task, so that the leader can supervise the work situation.

[0073] In this embodiment, the task scheduling module 22 plans the work tasks to be completed according to the group information and physical information of the employees, so as to formulate the daily planned inspection route data for each employee.

[0074] The task scheduling module 22 is also used to receive fault notifications, and the task scheduling module 22 pairs the fault notification data with the data in the information base 3 to obtain the cause of the equipment fault and the maintenance coordination information of the equipment maintenance coordination.

[0075] The task scheduling module 22 obtains the list of maintenance staff on duty according to the inspection staff information corresponding to the required maintenance equipment, and the task scheduling module 22 sends the maintenance coordination information to the maintenance staff's terminal;

[0076] The task scheduling module 22 is also used to acquire data from the smart wearable device 1 and the information library 3, and the task scheduling module 22 constructs a neural network prediction model through distance data, geographic location, basic equipment information and historical equipment maintenance data. The task scheduling module 22 calculates the time required for equipment maintenance based on the location of the equipment being maintained, the location of the maintenance staff and the maintenance coordination information.

[0077] The task scheduling module 22 predicts the repair time of the faulty equipment based on the distance data, geographical location, basic equipment information and historical equipment maintenance data, thereby providing a basis for subsequent scoring and improving the accuracy of the scoring.

[0078] In this embodiment, the information library 3 is provided with data of inspection step videos and maintenance step videos.

[0079] It also includes an operation management platform 5, which includes an inspection scoring module 51 and a maintenance scoring module 52.

[0080] The inspection scoring module 51 is used for data acquisition of the progress analysis module 42 to obtain the inspection progress completion ratio data; the inspection scoring module 51 is used for data acquisition of the information base 3 and the smart wearable device 1 to obtain the actual inspection line data and the on-site inspection video data through the smart wearable device 1, and the inspection scoring module 51 compares the planned inspection line data with the actual inspection line data and compares the inspection step video data with the on-site inspection video data to obtain the line difference degree and the inspection operation difference degree, and the inspection scoring module 51 sets corresponding coefficients for the progress completion ratio data, the line difference degree and the inspection operation difference degree, and calculates the inspection score within the preset time period.

[0081] By storing the inspection step video and the maintenance step video in the information library 3, it can provide a basis for the scoring of the inspection scoring module 51 and the maintenance scoring module 52, and increase the work enthusiasm of employees under the premise of ensuring safety. The inspection scoring module 51 obtains the on-site inspection video data through the camera module, and obtains the route data of the employees through the monitoring bracelet. The inspection scoring module 51 compares and analyzes the inspection route information, the inspection operation information, the planned inspection route data and the inspection step video, and can obtain the route difference degree and the inspection operation difference degree, so as to calculate the inspection score within the preset time period through the route difference degree and the inspection operation difference degree.

[0082] The maintenance scoring module 52 is used to obtain data from the progress analysis module 42 to obtain maintenance progress completion ratio data;

[0083] The maintenance scoring module 52 is used for data acquisition of the information base 3 and the smart wearable device 1, so as to obtain the on-site maintenance operation video through the smart wearable device 1, and the maintenance scoring module 52 compares the maintenance step video with the on-site maintenance operation video to obtain the operation similarity and step similarity respectively, and the maintenance scoring module 52 sets corresponding coefficients for the maintenance progress completion ratio data, operation similarity and step similarity, and calculates the maintenance score within the preset time period.

[0084] The maintenance scoring module 52 compares the maintenance step video with the on-site maintenance operation video through the video module data and the information library 3 data, thereby obtaining the operation similarity and the step similarity, and calculates the maintenance score based on the operation similarity and the step similarity.

[0085] The maintenance scoring module 52 is also used to obtain the interval duration of equipment maintenance. The maintenance scoring module 52 obtains the theoretical normal operation duration of the equipment through the data in the information base 3 and according to the geographical location information of the equipment and the usage information of the equipment. The maintenance scoring module 52 obtains the actual normal operation duration by obtaining the time between two adjacent failures of the equipment.

[0086] When the actual normal operation time is longer than the theoretical normal operation time, the maintenance scoring module 52 calculates the maintenance reward score according to the ratio of the theoretical normal operation time to the actual normal operation time; when the actual normal operation time is shorter than the theoretical normal operation time, the maintenance penalty score is calculated.

[0087] This embodiment can improve the work quality of employees and their operational capabilities by introducing a reward and punishment mechanism into the maintenance scoring. The maintenance scoring module 52 analyzes the equipment type, equipment usage information, equipment location information, and equipment usage time to obtain the theoretical normal operation time of the equipment. When the actual normal operation time is greater than the theoretical normal operation time, the responsible employee is rewarded. The present invention can score the work status of employees through the inspection scoring module 51 and the maintenance scoring module 52, and can monitor the work status of employees without the need for on-site supervision by management personnel, and is suitable for power operation tasks in remote geographical locations.

[0088] In this embodiment, the operation management platform 5 further includes an exception handling module 53, which is used to obtain data from the inspection scoring module 51 and the maintenance scoring module 52, and marks the operations corresponding to the inspection scores and maintenance scores that are lower than the scoring threshold as abnormal items;

[0089] Information repository 3 is also used for storing physical activity index data;

[0090] The exception handling module 53 sets standard body index ranges for employees of different age groups according to physical activity indicators of different intensities, and the exception handling module 53 obtains data from the smart wearable device 1 corresponding to the abnormal item to compare the employee's physical information data, employee's heart rate data, and employee's blood pressure data during the operation with the corresponding standard body index range to determine whether the employee's progress is affected by his physical condition.

[0091] The present embodiment sets an exception handling module 53 to analyze the physical condition of the employee during the operation. In the abnormal items, when the employee's physical information data, the employee's heart rate data, and the employee's blood pressure data are respectively in the corresponding standard body index range, it proves that the employee is not proficient in operation and affects the progress, and the employee needs to be trained. When the employee's physical information data, the employee's heart rate data, and the employee's blood pressure data are any out of the corresponding standard body index range, it proves that the schedule is unreasonable, and the management personnel need to re-formulate the schedule. The exception handling module 53 of the present embodiment can avoid affecting the health of employees due to unreasonable schedule.

[0092] In this embodiment, the exception handling module 53 is also used to obtain working environment information through the smart wearable device 1, and the exception handling module 53 obtains various environmental impact values ​​according to the ratio of various data of the working environment information to the corresponding environmental standard value. The exception handling module 53 calculates the environmental adjustment coefficient according to the various environmental impact values, and the exception handling module 53 adjusts the standard body index range through the environmental adjustment coefficient.

[0093] Since the on-site working environment is relatively complex, when the working environment is relatively harsh, it will cause progress delays. This application sets an environmental adjustment coefficient to adjust the standard body index range so that the standard body index range can be adjusted according to the environmental conditions. In order to reduce the standard body index range in a harsh working environment, it is easier for employees to be judged as having a reasonable progress schedule due to environmental influences, thereby avoiding accidents caused by harsh environments.

[0094] The operation process of the power operation site safety intelligent monitoring system of this embodiment is as follows:

[0095] S1 managers obtain collaborative information through the information base 3, and input the task plan for inspection and maintenance operations through the task scheduling module 22;

[0096] S2. Employees obtain the content of inspection and maintenance operations through the terminal, and employees obtain data from the pre-operation preparation module 24 through the terminal to prepare for the operation;

[0097] S3. During the operation, the smart wearable device 1 records the data of the employee's operation process;

[0098] S4. The work status analysis module 41 determines whether the employee is safe during the operation based on the data of the smart wearable device 1; the progress analysis module 42 obtains the operation progress data based on the smart wearable device 1;

[0099] S5. The inspection scoring module 51 and the maintenance scoring module 52 score the employee's work according to the data of the smart wearable device 1 and the information base 3;

[0100] S6. The exception handling module 53 analyzes the reasons for the progress delay based on the data from the smart wearable device 1, the inspection scoring module 51, and the maintenance scoring module 52.

Claims

1. An intelligent safety monitoring system for power operation sites, characterized in that: It includes a smart wearable device (1), a business management platform (2), an information database (3) and a data analysis platform (4); The smart wearable device (1) comprises a monitoring helmet, a monitoring wristband and a terminal. The monitoring helmet is provided with a camera module and a sensor module for obtaining equipment information and environmental information during operation; the monitoring wristband is used for obtaining physical information of the operator during operation; and the terminal is used for data interaction with the business management platform (2); The business management platform (2) includes an employee information module (21), a task arrangement module (22) and a progress information module (23). The employee information module (21) is used to record the employee's identity information, group information and physical information, and the employee information module (21) is associated with the smart wearable device (1) so that the smart wearable device (1) is paired with the employee; The task arrangement module (22) is used to acquire data from the employee information module (21) so as to arrange inspection and maintenance work according to the employee information; The progress information module (23) is used to input the progress of the job completion; The information library (3) is used to store equipment basic information data, equipment historical inspection data and equipment historical maintenance data, so as to provide collaborative information for the task scheduling module (22); The data analysis platform (4) comprises a working status analysis module (41) and a progress analysis module (42). The working status analysis module (41) is used for acquiring data from the smart wearable device (1) to monitor the physical status and environmental information of personnel; the progress analysis module (42) is used for acquiring data from the smart wearable device (1) and the business management platform (2) to acquire video data during the operation process through the camera module, and the progress analysis module (42) extracts image data from the video data, and obtains the operation completion progress data by pairing the image data with the task scheduling module (22). The progress analysis module (42) sends the progress data to the progress information module (23).

2. The intelligent safety monitoring system for electric power operation site according to claim 1 is characterized in that: The task arrangement module (22) plans the work tasks to be completed according to the group information and physical information of the employees, so as to formulate the daily planned inspection route data for each employee; The task scheduling module (22) is also used to receive a fault notification, and the task scheduling module (22) matches the fault notification data with the data in the information library (3) to obtain the cause of the equipment fault and maintenance coordination information of the equipment maintenance coordination.

3. The intelligent safety monitoring system for electric power operation site according to claim 2 is characterized in that: The task scheduling module (22) obtains a list of on-duty maintenance staff according to the inspection staff information corresponding to the required maintenance equipment, and the task scheduling module (22) sends the maintenance coordination information to the terminal of the maintenance staff; The task scheduling module (22) is also used to acquire data from the smart wearable device (1) and the information library (3), and the task scheduling module (22) constructs a neural network prediction model through distance data, geographic location, basic equipment information and historical equipment maintenance data. The task scheduling module (22) calculates the time required for equipment maintenance based on the location of the equipment to be maintained, the location of the maintenance staff and the maintenance coordination information.

4. The intelligent safety monitoring system for electric power operation site according to claim 3 is characterized by: The information database (3) is provided with data of inspection step videos and maintenance step videos; It also includes an operation management platform (5), wherein the operation management platform (5) includes an inspection scoring module (51) and a maintenance scoring module (52). The inspection scoring module (51) is used for data acquisition of the progress analysis module (42) to obtain inspection progress completion ratio data; the inspection scoring module (51) is used for data acquisition of the information library (3) and the smart wearable device (1) to obtain actual inspection line data and on-site inspection video data through the smart wearable device (1), and the inspection scoring module (51) compares the planned inspection line data with the actual inspection line data and compares the inspection step video data with the on-site inspection video data to obtain line difference degree and inspection operation difference degree, and the inspection scoring module (51) sets corresponding coefficients for the progress completion ratio data, the line difference degree and the inspection operation difference degree, and calculates and obtains the inspection score within a preset time period; The maintenance scoring module (52) is used for acquiring data from the progress analysis module (42) to obtain maintenance progress completion ratio data; The maintenance scoring module (52) is used for acquiring data from the information library (3) and the smart wearable device (1) to obtain an on-site maintenance operation video through the smart wearable device (1), and the maintenance scoring module (52) compares the maintenance step video with the on-site maintenance operation video to obtain the operation similarity and step similarity respectively, and the maintenance scoring module (52) sets corresponding coefficients for the maintenance progress completion ratio data, the operation similarity and the step similarity, and calculates the maintenance score within a preset time period.

5. The intelligent safety monitoring system for electric power operation site according to claim 4 is characterized in that: The maintenance scoring module (52) is also used to obtain the interval duration of equipment maintenance. The maintenance scoring module (52) obtains the theoretical normal operation duration of the equipment through the data in the information base (3) and according to the geographical location information of the equipment and the usage information of the equipment; the maintenance scoring module (52) obtains the actual normal operation duration by obtaining the time between two consecutive failures of the equipment; When the actual normal operation time is greater than the theoretical normal operation time, the maintenance scoring module (52) calculates the maintenance reward score according to the ratio of the theoretical normal operation time to the actual normal operation time; When the actual normal operation time is less than the theoretical normal operation time, a maintenance penalty score is calculated.

6. The intelligent safety monitoring system for electric power operation site according to claim 4 is characterized in that: The operation management platform (5) further comprises an exception handling module (53), wherein the exception handling module (53) is used for acquiring data from the inspection scoring module (51) and the maintenance scoring module (52), and marking the operations corresponding to the inspection scores and the maintenance scores that are lower than a scoring threshold as abnormal items; The information base (3) is also used for storing physical activity index data; The exception handling module (53) sets a standard body index range for employees of different age groups according to the physical activity indicators of different intensities, and the exception handling module (53) obtains data of the smart wearable device (1) corresponding to the abnormal item to compare the employee's body information data, employee's heart rate data, and employee's blood pressure data during the operation with the corresponding standard body index range to determine whether the employee's progress is affected by his physical condition.

7. The intelligent safety monitoring system for electric power operation site according to claim 6 is characterized by: The exception processing module (53) is also used to obtain working environment information through the smart wearable device (1), and the exception processing module (53) obtains various environmental impact values ​​according to the ratio of various data of the working environment information to the corresponding environmental standard value, the exception processing module (53) calculates the environmental adjustment coefficient according to the various environmental impact values, and the exception processing module (53) adjusts the standard body index range according to the environmental adjustment coefficient.

8. The intelligent safety monitoring system for electric power operation site according to claim 1 is characterized by: The working state analysis module (41) comprises an operation safety analysis submodule (411) and an environmental safety analysis submodule (412). The operation safety analysis submodule (411) obtains the vibration data and acceleration data of the monitoring helmet through the sensor module, and the operation safety analysis submodule (411) obtains the employee's heart rate data and the employee's blood pressure data through the monitoring wristband; the operation safety analysis submodule (411) analyzes the vibration data, the acceleration data, the heart rate data, and the blood pressure data, and determines that an operation accident has occurred when any data of the sensor module is greater than a first safety threshold and all data of the monitoring wristband are greater than a second safety threshold, and the safety analysis submodule (411) obtains the employee's location information through the monitoring wristband and sends an alarm signal; The environmental safety analysis submodule (412) is used to obtain the working environment quantity value through the sensor module, so as to send a reminder signal to the monitoring bracelet when the working environment quantity value is greater than a third safety threshold.

9. The intelligent safety monitoring system for electric power operation site according to claim 1 is characterized by: The business management platform (2) further comprises a pre-job preparation module (24), the pre-job preparation module (24) being used for data acquisition of the task scheduling module (22), and the pre-job preparation module (24) extracting job keywords from the task scheduling module (22), and the pre-job preparation module (24) matching the job keywords with the information library (3) to obtain information on tool images required for the job; The pre-job preparation module (24) photographs the tools required for the job through the camera module to obtain a tool preparation image, and the pre-job preparation module (24) compares the tool preparation image with the tool image required for the job to determine whether the type and quantity of the tools carried by the employee correspond to the tools required for the job.

10. The intelligent safety monitoring system for electric power operation site according to claim 1 is characterized in that: The monitoring safety helmet comprises a cap body (6), a fixing box (61) is arranged in front of the outer wall of the cap body (6), a box cavity (611) is arranged in the fixing box (61), and a window (612) made of a transparent material is arranged on a side of the fixing box (61) facing away from the cap body (6); The camera module comprises a camera (7), the camera (7) is arranged in the box cavity (62), and the camera (7) is connected to the fixed box (61) through a connecting mechanism, the connecting mechanism comprises an adjusting motor (62) and a connecting shaft (621), the output shaft of the adjusting motor (62) is transmission-connected to one end of the connecting shaft (621) through a reducer (622), one end of the connecting shaft (621) away from the reducer (622) is connected to the camera (7) through the adjusting frame (63), and the camera (7) faces the window (612); The adjustment frame (63) comprises a connecting plate (631) and an electric telescopic rod (632), wherein two connecting plates (631) are provided, and three electric telescopic rods (632) are provided, wherein the three electric telescopic rods (632) are evenly arranged around and disposed between the two connecting plates (631), and the electric telescopic rods (632) are respectively fixedly connected to the connecting plates (631); the two connecting plates (631) are respectively fixedly connected to the connecting shaft (621) and the camera (7); A placement box (64) is fixedly provided on the outer wall of the fixing box (61), and the placement box (64) is used for placing the sensor module; A controller (65) and a gyroscope (651) are arranged in the fixing box (61); the controller (65) is electrically connected to the gyroscope (651), the electric telescopic rod (632) and the regulating motor (62) respectively, and the controller (65) is communicatively connected to the business management platform (2), the operation monitoring module (3) and the data analysis platform (4).

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