Power plant personnel operation intelligent monitoring method and system

Abstract

The invention relates to the technical field of power plant operation safety, in particular to an intelligent monitoring method and system for power plant personnel operation, and the system comprises a monitoring module, an acquisition module, an emergency module, a storage module and a management module. By combining personnel monitoring and equipment data acquisition modes, occurrence of dangerous situations is pre-judged, pre-judgment precision is improved, more evacuation time is provided for workers and guardians, when safety accidents occur or are about to occur, the workers are made to be away from maintenance positions quickly, the survival rate of the workers is increased, and the safety of the workers is guaranteed. And the operation process of the worker is monitored, and the operation behavior of the worker is reminded through the intelligent model, so that the occurrence of human accidents is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of power plant operation safety, and particularly to an intelligent monitoring method and system for power plant personnel operation. Background Art

[0002] Generally, the production area of a power plant is very large and involves many production systems. Especially in dangerous areas such as main substations, step-up substations, burner areas, oil depots, hydrogen stations, internal combustion engine rooms, coal conveying corridors, etc. Especially in substations and step-up substations, when operating in these areas, workers need to be accompanied by a supervisor to avoid unexpected situations during operation. The supervisor should handle them in a timely manner. The current operation monitoring technology is relatively traditional. When it comes to operations in dangerous areas, a companion management is set up when the worker and the supervisor are working. The supervisor must be within a certain range of the worker. Sometimes the operation time is relatively long. If the supervisor leaves, looks at the phone, chats, or does other things, and fails to monitor the operator, when an accident occurs, it cannot be handled in the first time, resulting in accidental casualties.

[0003] Therefore, there are inventions such as a power operation site safety intelligent monitoring system disclosed in the patent application with the publication number CN119338147A and an intelligent safety monitoring system and method for power plant inspection operations disclosed in the patent with the publication number CN113034847B, etc., which supervise the staff and supervisors.

[0004] However, it is found in the use process that the supervision and prevention effects of the existing safety monitoring systems are relatively poor. And when performing maintenance in a narrow position, it is inconvenient for the supervisor to observe the working methods and working processes of the maintenance personnel. Moreover, it is not convenient to improve the survival rate of the staff in case of an accident, resulting in poor practicability. Therefore, there is an urgent need for an intelligent monitoring method and system for power plant personnel operation to improve the above problems. Summary of the Invention

[0005] To solve the above technical problems, the present invention provides an intelligent monitoring method and system for power plant personnel operation, which combines the methods of personnel monitoring and equipment data acquisition to predict the occurrence of dangerous situations, improve the prediction accuracy, provide more evacuation time for the staff and supervisors. Secondly, when a safety accident occurs or is about to occur, it enables the staff to quickly move away from the maintenance position, improve the survival rate of the staff. Moreover, by monitoring the operation process of the staff and reminding their operation behaviors through an intelligent model at the same time, it reduces the occurrence of human accidents.

[0006] An intelligent monitoring system for power plant personnel operation of the present invention includes:

[0007] Monitoring Module: Monitor the positions and behaviors of the staff and the supervisors, and at the same time monitor the operation processes of the staff. When the staff or the supervisors make violation actions or the monitoring module anticipates that the operation process of the staff is about to have violations, remind the staff and the supervisors;

[0008] Data Acquisition Module: Collect the operation data of each device in the power plant and provide the operation data of the devices associated with the maintenance positions to the staff and the supervisors;

[0009] Emergency Module: When a safety accident occurs or is about to occur, enable the staff to quickly move away from the maintenance position;

[0010] Storage Module: Store the data of the monitoring module, the data acquisition module and the management module;

[0011] Management Module: Conduct centralized control and management of the monitoring module, the data acquisition module and the storage module, verify the identity information of the logged-in personnel, and record the operation process of the system in real time.

[0012] Preferably, the monitoring module includes:

[0013] Personnel Monitoring Unit: Monitor the positions and behaviors of the staff and the supervisors, and when the staff or the supervisors make violation actions, remind the staff and the supervisors;

[0014] Operation Monitoring Unit: Monitor the operation process of the staff, and through the captured operation images of the staff, anticipate the next operation of the staff. When it anticipates that the next operation of the staff is a violation operation or dangerous, remind the staff and the supervisors.

[0015] Preferably, the personnel monitoring unit includes:

[0016] Drone: Follow the staff and the supervisors;

[0017] First Camera Unit: There are multiple groups, with the same number as the person recognition module, the obstacle avoidance module and the multi-frame continuous pose recognition unit. Provide image data for the person recognition module, the obstacle avoidance module and the multi-frame continuous pose recognition unit respectively;

[0018] Person Recognition Module: Identify the staff and the supervisors according to the image data provided by the first camera unit, and assist the drone to maintain an appropriate distance from the staff and the supervisors;

[0019] Obstacle Avoidance Module: According to the image data provided by the first camera unit, assist the drone to avoid surrounding obstacles;

[0020] Multi-frame continuous pose recognition unit: The YOLOv5 algorithm is used to extract features from the image data provided by the first camera unit, and the multi-frame continuous pose recognition algorithm analyzes the action postures of the staff and the supervisors to determine whether there are any illegal actions by the staff and the supervisors.

[0021] Preferably, the operation monitoring unit includes:

[0022] Second camera unit: Located on the forehead of the staff, it takes pictures of the operation process of the staff;

[0023] Convolutional neural network: Analyzes and processes the image data taken by the second camera unit to determine whether the operation process of the staff is compliant. At the same time, when the staff makes an illegal operation, it reminds the staff and warns about the potential hazards caused by such illegal operations through voice;

[0024] Database: Stores the training data of the convolutional neural network;

[0025] Monitor: Held by the supervisor, it displays the captured images of the second camera unit so that the supervisor can view the operation process of the staff.

[0026] Preferably, the acquisition module includes:

[0027] Data acquisition unit: Collects the operation data of each device in the power plant and transmits the collected data to the data analysis unit;

[0028] Data analysis unit: Sets the operation thresholds of each device in the power plant and compares the received data with the set thresholds;

[0029] Data sending unit: When the operation data of the device associated with the maintenance location exceeds the threshold, it sends an alarm to the drone, and the drone reminds the staff and the supervisor in the form of voice broadcast.

[0030] Preferably, the emergency module includes:

[0031] Rescue unit: Enables the staff to quickly move away from the maintenance location;

[0032] Alarm unit: Sends a signal to the monitoring room to enable the personnel in the monitoring room to arrange for rescue as soon as possible.

[0033] Preferably, the storage mechanism includes:

[0034] Management unit: Manages the storage period of the storage unit and deletes the data that exceeds the storage period;

[0035] Classification unit: Classifies the received data according to the emission source;

[0036] Storage unit: Store the classified data.

[0037] Preferably, the management module includes:

[0038] Identity recognition unit: Verify the identity information of each person logging in to the system to ensure system security;

[0039] Central control unit: Conduct centralized control and management of the monitoring module, acquisition module, and storage module;

[0040] Operation record unit: Record the operation process of the system to facilitate tracing when problems occur in the system.

[0041] Preferably, the rescue unit includes a safety buckle, a first safety rope, a frame, a transmission, a driving motor, a winding shaft, a second safety rope, a belt, a gear, a driver, and a rack. The safety buckle is installed at one end of the first safety rope, the frame is installed at the other end of the first safety rope, the transmission is installed on the frame, the driving motor is installed on the transmission, and the output shaft of the driving motor is connected to the input end of the transmission. The winding shaft is rotatably installed on the frame, and one end of the winding shaft is connected to the output end of the transmission. The second safety rope is wound on the winding shaft. The belt is installed at one end of the second safety rope, the gear is installed at the other end of the winding shaft, the driver is fixedly installed on the frame, and the rack is installed at one end of the driver;

[0042] The driver includes a storage cylinder, a piston, a sliding rod, a limiting ring, and a detonator. The piston is slidably installed in the storage cylinder, and gunpowder is provided between the storage cylinder and the piston. One end of the sliding rod is installed on the piston, and the other end of the sliding rod extends out of one end of the storage cylinder. The limiting ring is fixedly installed at the left part inside the storage cylinder, and the detonator is installed at the right part inside the storage cylinder. Before the staff starts working, fasten the safety buckle at a suitable position away from the maintenance area, and then put on the belt around the waist. When an accident occurs or is about to occur, the monitoring module sends signals to the detonator and the driving motor. The detonator ignites the gunpowder between the storage cylinder and the piston. Through the energy generated by the combustion of the gunpowder, the sliding rod is quickly pushed out of the storage cylinder, and the piston is stuck on the limiting ring. During the process of the sliding rod sliding out of the storage cylinder, the rack meshes with the gear to drive the winding shaft to rotate rapidly, roll up part of the second safety rope, pull the belt to drag the staff away from the maintenance position, and then the driving motor runs. Through the transmission of the transmission, the winding shaft continues to rotate to drag the staff to a safe position, thereby improving the practicability of the rescue unit.

[0043] An intelligent monitoring method for power plant personnel operations according to the present invention includes the following steps:

[0044] S1. Before the staff starts working, fasten the safety buckle at a suitable position away from the maintenance area, and then put on the belt around the waist;

[0045] S2. Monitor the position and behavior of the staff and the guardian through the personnel monitoring unit, and remind the staff and the guardian when the staff and the monitoring personnel make illegal actions. Monitor the operation process of the staff through the operation monitoring unit, and predict the next operation of the staff through the captured operation screen of the staff. When the next operation of the staff is predicted to be illegal or dangerous, remind the staff and the guardian;

[0046] S3. The operating data of each device in the power plant is collected through the data collection unit, and the collected data is transmitted to the data analysis unit. The operating threshold of each device in the power plant is set through the data analysis unit, and the received data is compared with the set threshold. When the operating data of the device associated with the maintenance position exceeds the threshold, the data sending unit sends an alarm to the drone, so that the drone reminds the staff and the supervisor in the form of voice broadcast;

[0047] S4. When an accident occurs or is about to occur, the monitoring module sends a signal to the detonator and the drive motor. The detonator ignites the gunpowder between the storage tube and the piston. The energy generated by the combustion of the gunpowder quickly pushes the slide bar out of the storage tube and causes the piston to be stuck on the limit ring. In the process of the slide bar sliding out of the storage tube, the rack and the gear mesh and drive the winding shaft to rotate rapidly, winding up part of the safety rope 2, so that the belt pulls the staff out of the maintenance position. After that, the drive motor runs, and the transmission drives the winding shaft to continue to rotate, dragging the staff to a safe position.

[0048] Compared with the prior art, the present invention has the following beneficial effects:

[0049] 1. By combining personnel monitoring with equipment data acquisition, the occurrence of dangerous situations can be predicted, the prediction accuracy can be improved, and more evacuation time can be provided for staff and supervisors;

[0050] 2. When a safety accident occurs or is about to occur, the staff can quickly move away from the maintenance location to increase the survival rate of the staff;

[0051] 3. By monitoring the operating procedures of staff and reminding them of their operating behaviors through intelligent models, the occurrence of man-made accidents can be reduced. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 This is a schematic diagram of the structure of the intelligent monitoring system for power plant personnel operations of the present invention;

[0053] Figure 2 It is a structural diagram of the monitoring module of the present invention;

[0054] Figure 3 It is a schematic structural diagram of the personnel monitoring unit of the present invention;

[0055] Figure 4 It is a schematic structural diagram of the operation monitoring unit of the present invention;

[0056] Figure 5 It is a schematic structural diagram of the acquisition module of the present invention;

[0057] Figure 6 It is a schematic structural diagram of the emergency module of the present invention;

[0058] Figure 7 It is a schematic structural diagram of the storage module of the present invention;

[0059] Figure 8 It is a schematic structural diagram of the management module of the present invention;

[0060] Figure 9 It is a first axonometric structural diagram of the rescue unit of the present invention;

[0061] Figure 10 It is the present invention Figure 9 The enlarged structural diagram of part A in;

[0062] Figure 11 It is a second axonometric structural diagram of the rescue unit of the present invention;

[0063] Figure 12 It is a front elevation sectional structural diagram of the driver of the present invention.

[0064] Reference numerals in the drawings: 1, safety buckle; 2, safety rope one; 3, frame; 4, transmission; 5, drive motor; 6, winding shaft; 7, safety rope two; 8, waist belt; 9, gear; 10, driver; 11, rack; 12, storage cylinder; 13, piston; 14, sliding rod; 15, limit ring; 16, detonator. Detailed implementation manners

[0065] For the convenience of understanding the present invention, the present invention will be described more comprehensively below with reference to the relevant drawings. The present invention can be implemented in many different forms and is not limited to the embodiments described herein. On the contrary, these embodiments are provided to make the disclosure of the present invention more thorough and comprehensive.

[0066] Embodiment: As Figures 1 to 12 shown, an intelligent monitoring system for power plant personnel operations includes:

[0067] Monitoring module: monitors the location and behavior of staff and guardians, and monitors the operation process of staff, and reminds staff and guardians when they make illegal actions or the monitoring module predicts that the staff's operation process is about to violate the rules;

[0068] Collection module: collects the operating data of each device in the power plant and provides the operating data of the equipment associated with its maintenance location to the staff and supervisors;

[0069] Emergency module: When a safety accident occurs or is about to occur, it allows the staff to quickly move away from the maintenance location;

[0070] Storage module: stores data from monitoring module, acquisition module and management module;

[0071] Management module: Centrally control and manage the monitoring module, acquisition module and storage module, verify the identity information of the login personnel, and record the system operation process in real time;

[0072] The monitoring module comprises:

[0073] Personnel monitoring unit: monitors the location and behavior of staff and guardians, and alerts them when they make illegal moves;

[0074] Operation monitoring unit: monitors the operation process of the staff, and predicts the next operation of the staff by taking pictures of the staff's operation screen. If the next operation of the staff is predicted to be illegal or dangerous, the staff and the supervisor will be reminded;

[0075] The personnel monitoring unit comprises:

[0076] Drones: follow staff and guardians;

[0077] Camera unit 1: There are multiple groups of camera units, which are the same as the number of the person recognition module, the obstacle avoidance module and the multi-frame continuous posture recognition unit, and provide image data for the person recognition module, the obstacle avoidance module and the multi-frame continuous posture recognition unit respectively;

[0078] Person recognition module: identifies staff and guardians based on the image data provided by the camera unit 1, and assists the drone to maintain a suitable distance from the staff and guardians;

[0079] Obstacle avoidance module: assists the drone to avoid surrounding obstacles based on the image data provided by the camera unit 1;

[0080] Multi-frame continuous posture recognition unit: The YOLOv5 algorithm is used to extract features from the image data provided by the camera unit 1. The multi-frame continuous posture recognition algorithm analyzes the postures of the staff and the supervisor to determine whether the staff and the supervisor have any illegal actions.

[0081] The operation monitoring unit comprises:

[0082] Camera unit 2: located on the forehead of the staff member, to shoot the staff member's operation process;

[0083] Convolutional neural network: Analyze and process the image data captured by the second camera unit to determine whether the staff's operating procedures are in compliance with regulations. When the staff makes illegal operations, the system reminds the staff and reminds them of the subsequent harm caused by such illegal operations through voice.

[0084] Database: Store the training data of convolutional neural network;

[0085] Display: located in the hands of the guardian, it displays the pictures taken by the second camera unit, so that the guardian can check the operation process of the staff;

[0086] The acquisition module comprises:

[0087] Data acquisition unit: collects the operating data of each device in the power plant and transmits the collected data to the data analysis unit;

[0088] Data analysis unit: sets the operating thresholds of each device in the power plant and compares the received data with the set thresholds;

[0089] Data sending unit: When the operating data of the equipment associated with the maintenance location exceeds the threshold, an alarm is sent to the drone, so that the drone can remind the staff and supervisors in the form of voice broadcast;

[0090] The emergency module comprises:

[0091] Rescue unit: enables workers to quickly move away from the maintenance location;

[0092] Alarm unit: sends a signal to the monitoring room so that the personnel in the monitoring room can arrange rescue as soon as possible;

[0093] The storage mechanism comprises:

[0094] Management unit: manage the storage period of the storage unit and delete the data that exceeds the storage period;

[0095] Classification unit: classifies the received data according to the emission source;

[0096] Storage unit: Store the classified data;

[0097] The management module includes:

[0098] Identity recognition unit: Verify the identity information of each person logging into the system to ensure system security;

[0099] Central control unit: Conduct centralized control and management of the monitoring module, acquisition module, and storage module;

[0100] Operation record unit: Record the operation process of the system to facilitate tracing in case of system problems;

[0101] The rescue unit includes a safety buckle 1, a first safety rope 2, a frame 3, a transmission 4, a drive motor 5, a winding shaft 6, a second safety rope 7, a waist belt 8, a gear 9, a driver 10, and a rack 11. The safety buckle 1 is installed at one end of the first safety rope 2, the frame 3 is installed at the other end of the first safety rope 2, the transmission 4 is installed on the frame 3, the drive motor 5 is installed on the transmission 4, and the output shaft of the drive motor 5 is connected to the input end of the transmission 4. The winding shaft 6 is rotatably installed on the frame 3, and one end of the winding shaft 6 is connected to the output end of the transmission 4. The second safety rope 7 is wound on the winding shaft 6, the waist belt 8 is installed at one end of the second safety rope 7, the gear 9 is installed at the other end of the winding shaft 6, the driver 10 is fixedly installed on the frame 3, and the rack 11 is installed at one end of the driver 10;

[0102] The driver 10 includes a storage cylinder 12, a piston 13, a sliding rod 14, a limiting ring 15, and a detonator 16. The piston 13 is slidably installed in the storage cylinder 12, and gunpowder is provided between the storage cylinder 12 and the piston 13. One end of the sliding rod 14 is installed on the piston 13, and the other end of the sliding rod 14 extends out of one end of the storage cylinder 12. The limiting ring 15 is fixedly installed in the left part of the storage cylinder 12, and the detonator 16 is installed in the right part of the storage cylinder 12;

[0103] The core calculation formula of YOLOv5 includes bounding box prediction, confidence score calculation, class probability prediction, and loss function;

[0104] Bounding box prediction:

[0105] (1), The center point (x, y) of the bounding box;

[0106] x = σ(t x ) + c x

[0107] y = σ(t y ) + c y

[0108] Among them, t x , ty is the offset output by the network; σ(·) is the Sigmoid function that limits the offset within the range [0, 1]; c x , c y is the top-left coordinate of the current grid (in the scale of the feature map);

[0109] (2) Bounding box width w and height h

[0110]

[0111]

[0112] where t w , t h is the scaling factor output by the network, p w , p h are the width and height of the preset anchor box;

[0113] Confidence score calculation:

[0114] The confidence score Confidence indicates whether there is a target within the bounding box and the accuracy of the prediction:

[0115] Confidence = σ(t o )

[0116] where t o is the original confidence value output by the network;

[0117] Class probability prediction:

[0118] The class probability P class identifies the probability that the target belongs to each class:

[0119] P class = Softmax(t c )

[0120] where t c is the class score vector output by the network;

[0121] Loss function:

[0122] The loss function of YOLOv5 consists of three parts: bounding box loss, confidence loss, and class loss.

[0123] An intelligent monitoring method for power plant personnel operations includes the following steps:

[0124] S1. Before the staff starts working, fasten the safety buckle 1 at a suitable position away from the repair area, and then put on the waist belt 8 around the waist;

[0125] S2. Monitor the position and behavior of the staff and the guardian through the personnel monitoring unit, and remind the staff and the guardian when the staff and the monitoring personnel make illegal actions. Monitor the operation process of the staff through the operation monitoring unit, and predict the next operation of the staff through the captured operation screen of the staff. When the next operation of the staff is predicted to be illegal or dangerous, remind the staff and the guardian;

[0126] S3. The operating data of each device in the power plant is collected through the data collection unit, and the collected data is transmitted to the data analysis unit. The operating threshold of each device in the power plant is set through the data analysis unit, and the received data is compared with the set threshold. When the operating data of the device associated with the maintenance position exceeds the threshold, the data sending unit sends an alarm to the drone, so that the drone reminds the staff and the supervisor in the form of voice broadcast;

[0127] S4. When an accident occurs or is about to occur, the monitoring module sends a signal to the detonator 16 and the drive motor 5. The detonator 16 ignites the gunpowder between the storage tube 12 and the piston 13. The energy generated by the combustion of the gunpowder quickly pushes the slide bar 14 out of the storage tube 12 and causes the piston 13 to be stuck on the limit ring 15. In the process of the slide bar 14 sliding out of the storage tube 12, the rack 11 engages with the gear 9 to drive the winding shaft 6 to rotate rapidly, winding up part of the safety rope 7, so that the belt 8 pulls the staff out of the maintenance position, and then the drive motor 5 runs, and the transmission 4 transmits the winder shaft 6 to continue to rotate, dragging the staff to a safe position.

[0128] The installation, connection or setting methods of the intelligent monitoring method and system for power plant personnel operations of the present invention are all common mechanical methods, and can be implemented as long as they can achieve their beneficial effects; the drone is provided with a sound-generating device; the transmission 4, drive motor 5 and detonator 16 of the intelligent monitoring method and system for power plant personnel operations of the present invention are purchased on the market, and technicians in the industry only need to install and operate them according to the accompanying instruction manual, without the need for creative labor by technicians in this field.

[0129] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the technical principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. An intelligent monitoring system for power plant personnel operations, characterized in that: include: Monitoring module: monitors the location and behavior of staff and guardians, and monitors the operation process of staff, and reminds staff and guardians when they make illegal actions or the monitoring module predicts that the staff's operation process is about to violate the rules; Collection module: collects the operating data of each device in the power plant and provides the operating data of the equipment associated with its maintenance location to the staff and supervisors; Emergency module: When a safety accident occurs or is about to occur, it allows the staff to quickly move away from the maintenance location; Storage module: stores data from monitoring module, acquisition module and management module; Management module: Centrally control and manage the monitoring module, acquisition module and storage module, verify the identity information of the logged-in personnel, and record the system's operating process in real time.

2. The intelligent monitoring system for power plant personnel operation as claimed in claim 1, characterized in that: The monitoring module comprises: Personnel monitoring unit: monitors the location and behavior of staff and guardians, and alerts them when they make illegal moves; Operation monitoring unit: monitors the staff's operation process, and predicts the staff's next operation by photographing the staff's operation screen. If the staff's next operation is predicted to be illegal or dangerous, the staff and supervisor will be reminded.

3. The intelligent monitoring system for power plant personnel operation as claimed in claim 2, characterized in that: The personnel monitoring unit comprises: Drones: follow staff and guardians; Camera unit 1: There are multiple groups of camera units, which are the same as the number of the person recognition module, the obstacle avoidance module and the multi-frame continuous posture recognition unit, and provide image data for the person recognition module, the obstacle avoidance module and the multi-frame continuous posture recognition unit respectively; Person recognition module: identifies staff and guardians based on the image data provided by the camera unit 1, and assists the drone to maintain a suitable distance from the staff and guardians; Obstacle avoidance module: assists the drone to avoid surrounding obstacles based on the image data provided by the camera unit 1; Multi-frame continuous posture recognition unit: The YOLOv5 algorithm is used to extract features from the image data provided by the camera unit 1. The multi-frame continuous posture recognition algorithm analyzes the movements and postures of the staff and the supervisor to determine whether the staff and the supervisor have any illegal actions.

4. The intelligent monitoring system for power plant personnel operation as claimed in claim 2, characterized in that: The operation monitoring unit comprises: Camera unit 2: located on the forehead of the staff member, to record the staff member's operation process; Convolutional neural network: Analyze and process the image data captured by the second camera unit to determine whether the staff's operating procedures are in compliance with regulations. When the staff makes illegal operations, the system reminds the staff and reminds them of the subsequent harm caused by such illegal operations through voice. Database: Store the training data of convolutional neural network; Display: Located in the hands of the guardian, it displays the shooting images of the camera unit 2, allowing the guardian to view the operating procedures of the staff.

5. The intelligent monitoring system for power plant personnel operation as claimed in claim 3, characterized in that: The acquisition module comprises: Data acquisition unit: collects the operating data of each device in the power plant and transmits the collected data to the data analysis unit; Data analysis unit: sets the operating thresholds of each device in the power plant and compares the received data with the set thresholds; Data sending unit: When the operating data of the equipment associated with the maintenance location exceeds the threshold, an alarm is sent to the drone, so that the drone can remind the staff and supervisors in the form of voice broadcast.

6. The intelligent monitoring system for power plant personnel operation as claimed in claim 1, characterized in that: The emergency module comprises: Rescue unit: enables workers to quickly move away from the maintenance location; Alarm unit: Sends a signal to the monitoring room so that the personnel in the monitoring room can arrange rescue as soon as possible.

7. The intelligent monitoring system for power plant personnel operation as claimed in claim 1, characterized in that: The storage mechanism comprises: Management unit: manage the storage period of the storage unit and delete the data that exceeds the storage period; Classification unit: classifies the received data according to the emission source; Storage unit: stores the classified data.

8. The intelligent monitoring system for power plant personnel operation as claimed in claim 1, characterized in that: The management module comprises: Identity recognition unit: Verify the identity information of each person logging into the system to ensure system security; Central control unit: Centrally control and manage the monitoring module, acquisition module and storage module; Operation recording unit: records the operation process of the system to facilitate tracing when problems occur in the system.

9. The intelligent monitoring system for power plant personnel operation as claimed in claim 6, characterized in that: The rescue unit comprises a safety buckle (1), a safety rope 1 (2), a frame (3), a transmission (4), a driving motor (5), a winding shaft (6), a safety rope 2 (7), a belt (8), a gear (9), a driver (10) and a rack (11), wherein the safety buckle (1) is mounted on one end of the safety rope 1 (2), the frame (3) is mounted on the other end of the safety rope 1 (2), the transmission (4) is mounted on the frame (3), the driving motor (5) is mounted on the transmission (4), and the driving motor (5) is mounted on the transmission (4). The output shaft of the motor (5) is connected to the input end of the transmission (4); the winding shaft (6) is rotatably mounted on the frame (3); one end of the winding shaft (6) is connected to the output end of the transmission (4); the second safety rope (7) is wound on the winding shaft (6); the belt (8) is mounted on one end of the second safety rope (7); the gear (9) is mounted on the other end of the winding shaft (6); the driver (10) is fixedly mounted on the frame (3); and the rack (11) is mounted on one end of the driver (10); The driver (10) comprises a storage tube (12), a piston (13), a slide rod (14), a stop ring (15) and a detonator (16); the piston (13) is slidably mounted in the storage tube (12), and gunpowder is arranged between the storage tube (12) and the piston (13); one end of the slide rod (14) is mounted on the piston (13), and the other end of the slide rod (14) extends from one end of the storage tube (12); the stop ring (15) is fixedly mounted on the left part of the storage tube (12), and the detonator (16) is mounted on the right part of the storage tube (12).

10. An intelligent monitoring method for power plant personnel operations, characterized in that: The following steps are involved: S1. Before starting the operation, the worker buckles the safety buckle (1) at a suitable position away from the maintenance area, and then puts the belt (8) around the waist; S2. Monitor the position and behavior of the staff and the guardian through the personnel monitoring unit, and remind the staff and the guardian when the staff and the monitoring personnel make illegal actions. Monitor the operation process of the staff through the operation monitoring unit, and predict the next operation of the staff through the captured operation screen of the staff. When the next operation of the staff is predicted to be illegal or dangerous, remind the staff and the guardian; S3. The operating data of each device in the power plant is collected through the data collection unit, and the collected data is transmitted to the data analysis unit. The operating threshold of each device in the power plant is set through the data analysis unit, and the received data is compared with the set threshold. When the operating data of the device associated with the maintenance position exceeds the threshold, the data sending unit sends an alarm to the drone, so that the drone reminds the staff and the supervisor in the form of voice broadcast; S4. When an accident occurs or is about to occur, the monitoring module sends a signal to the detonator (16) and the drive motor (5), and the detonator (16) ignites the gunpowder between the storage tube (12) and the piston (13). The energy generated by the combustion of the gunpowder quickly pushes the slide bar (14) out of the storage tube (12), and the piston (13) is stuck on the limit ring (15). In the process of the slide bar (14) sliding out of the storage tube (12), the rack (11) and the gear (9) are meshed and driven to drive the winding shaft (6) to rotate rapidly, so that part of the safety rope (7) is rolled up, so that the belt (8) pulls the staff out of the maintenance position, and then the drive motor (5) is operated, and the transmission (4) drives the winding shaft (6) to continue to rotate, and the staff is dragged to a safe position.

Images