Hydropower station intelligent safety management and control system

Abstract

The invention relates to an intelligent safety management and control technology, in particular to an intelligent safety management and control system for a hydropower station, which solves the defects of the traditional method in the aspects of real-time performance, accuracy and intelligence by integrating advanced data acquisition, personnel identification and track recording and analysis technologies. According to the system, positioning information is collected through portable equipment, personnel images are collected through face recognition and video monitoring, tracks of internal personnel and tracks of external personnel are distinguished, and abnormal behaviors are recognized through historical track analysis and a set time threshold value. The monitoring of the behaviors of the external personnel is enhanced, the management capability of the abnormal behaviors of the internal personnel is also improved, the safety management and control efficiency and the response speed are effectively improved, and an efficient and intelligent solution is provided for the safety management of the hydropower station.

Description

Technical Field

[0001] The present invention relates to intelligent safety management and control technology, and in particular to an intelligent safety management and control system for a hydropower station. Background Art

[0002] In the daily operation of hydropower stations, safety control is a key factor in maintaining normal operation and ensuring personnel safety. With the advancement of technology and the increase in safety requirements, traditional manual inspections and basic electronic monitoring systems can no longer meet the needs of modern management. Especially in terms of personnel management, how to accurately identify and monitor internal and external employees, prevent unauthorized access and potential security threats, and how to detect and handle abnormal behaviors in real time have become the key points to improve the safety management of hydropower stations.

[0003] Existing technical solutions rely on manual identification and recording of personnel dynamics, which is not only inefficient, but also prone to errors and unable to effectively respond to abnormal situations in real time. In addition, the lack of intelligent trajectory analysis and abnormal behavior recognition limits the ability to warn and handle potential risks. Therefore, it is crucial to develop an intelligent safety management and control system that can automatically identify personnel identities, accurately record trajectories, intelligently analyze behavior patterns, and respond to abnormal behaviors in a timely manner to improve the safety management level of hydropower stations. Summary of the invention

[0004] The technical problem solved by the present invention is to provide an intelligent safety management and control system for a hydropower station to automatically identify personnel identities, accurately record trajectories, intelligently analyze behavior patterns and respond to abnormal behaviors in a timely manner.

[0005] The basic solution provided by the present invention is: an intelligent safety management and control system for a hydropower station, including a data acquisition module, a personnel identification module, a trajectory recording module, a trajectory analysis module and an abnormal trajectory recording module;

[0006] The data acquisition module includes a positioning module and an image acquisition module. The positioning module uses a portable device carried by internal staff to collect positioning information. The image acquisition module includes an access control facial recognition module and a control area shooting module. The access control facial recognition module is used to collect facial image information of people entering and leaving, and the control area shooting module is used to collect video image information of the control area.

[0007] The personnel identification module is used to identify the identity information of the personnel based on the facial image information; the trajectory recording module includes an internal personnel trajectory recording module and an external personnel trajectory recording module; when the personnel identification module identifies the target person as an internal person, the internal personnel trajectory recording module records the movement trajectory of the internal person according to the positioning information; when the personnel identification module identifies the target person as an external person, the external person trajectory recording module records the movement trajectory and behavior of the external person through the control area shooting module and generates the external person behavior record, thereby improving the monitoring intensity of the external person behavior;

[0008] The trajectory analysis module includes a historical trajectory analysis module and an abnormal trajectory recording module. The historical trajectory analysis module is used to analyze the difference between the historical trajectory and the real-time trajectory of the insider. The historical trajectory analysis module is set with a time threshold. When the insider's residence time in the target area reaches the time threshold, the abnormal trajectory recording module marks the video image of the insider in the current area as an abnormal behavior video image, and generates confirmation information on the insider's portable device for the insider to record the abnormal behavior, thereby improving the abnormal behavior monitoring of the insider.

[0009] Furthermore, it also includes a trajectory planning module and a trajectory difference analysis module. The trajectory planning module is used to plan the walking path of the internal personnel; the trajectory difference analysis module is used to determine whether the moving trajectory of the internal personnel deviates from the planned path based on the planned path. When there is a deviation, the path deviation reminder information and path deviation confirmation are provided through the portable device of the internal personnel.

[0010] Furthermore, it also includes a controlled area demarcation module, a permission allocation module, and a boundary crossing monitoring module;

[0011] The controlled area demarcation module is used to divide the boundaries of the controlled area; the authority allocation module is used to allocate area authority to internal personnel; the cross-border monitoring module is used to determine whether the internal personnel have crossed the boundary based on the internal personnel's area authority and positioning information. When the internal personnel have crossed the boundary, a cross-border warning will be issued through the internal personnel's portable device.

[0012] Furthermore, it also includes a broadcast module, which includes a number of broadcasting devices distributed in various areas; the authority allocation module is also used to allocate unified area authority to external personnel, and the cross-border monitoring module is also used to determine whether external personnel have crossed the border based on the movement trajectory of external personnel. When external personnel have crossed the border, the broadcast module will issue a cross-border warning through the broadcasting equipment in the target area.

[0013] Furthermore, it also includes a safety equipment identification module, which is used to determine whether the target person is wearing a safety helmet based on the video image information. If the target person is not wearing a safety helmet, a safety equipment wearing reminder is issued through the broadcasting equipment in the area where the target person is located.

[0014] Furthermore, it also includes a facial information entry module, which is used to enter facial feature information of internal personnel.

[0015] Furthermore, the portable device is a mobile phone and / or a tablet.

[0016] Furthermore, the positioning module adopts a Beidou positioning module.

[0017] The principles and advantages of the present invention are:

[0018] The intelligent safety management and control system for hydropower stations proposed in this invention solves the shortcomings of traditional methods in terms of real-time, accuracy and intelligence by integrating advanced data collection, personnel identification, trajectory recording and analysis technologies. The system uses portable devices to collect positioning information, facial recognition and video surveillance to collect personnel images, distinguish the trajectories of internal and external personnel, and identify abnormal behaviors through historical trajectory analysis and set time thresholds. This not only strengthens the monitoring of external personnel behavior, but also improves the management capabilities of abnormal behaviors of internal personnel, effectively improves the efficiency and response speed of safety management, and provides an efficient and intelligent solution for the safety management of hydropower stations. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 This is a logic block diagram of a first embodiment of an intelligent safety management and control system for a hydropower station according to the present invention. DETAILED DESCRIPTION

[0020] The following is further described in detail through specific implementation methods:

[0021] The specific implementation process is as follows:

[0022] Embodiment 1

[0023] Embodiment 1 is basically as shown in the attached Figure 1 As shown, a hydropower station intelligent safety management and control system includes a data acquisition module, a personnel identification module, a trajectory recording module, a trajectory analysis module, an abnormal trajectory recording module, a trajectory planning module, a trajectory difference analysis module, a controlled area demarcation module, an authority allocation module, a cross-border monitoring module, a broadcast module and a safety equipment identification module. This solution uses portable devices to collect positioning information, facial recognition and video surveillance to collect personnel images, distinguish the trajectories of internal employees and external personnel, and identify abnormal behaviors through historical trajectory analysis and set time thresholds. This not only strengthens the monitoring of external personnel behavior, but also improves the management capabilities of abnormal behaviors of internal personnel.

[0024] Specifically, the front end of the system mainly collects information through the data acquisition module, which includes a positioning module and an image acquisition module. The positioning module uses the Beidou positioning module in the portable device carried by the internal staff to collect information. The portable device in this embodiment is implemented by a mobile phone, and in other embodiments, a tablet device can also be used instead. The image acquisition module includes an access control facial recognition module and a control area shooting module, which are responsible for collecting facial image information of people entering and leaving and collecting video image information of the control area. In terms of personnel identification, the system uses a facial information entry module to enter the facial feature information of internal personnel. The personnel identification module identifies the identity of the target person in the video image based on the entered facial feature information of the internal personnel, distinguishes between internal and external personnel, and enables the trajectory recording module to record their movement trajectory.

[0025] The trajectory recording module is divided into an internal personnel trajectory recording module and an external personnel trajectory recording module. The former tracks and records the movement trajectory of internal personnel based on positioning information, while the latter captures the movement trajectory and behavior of external personnel through the control area shooting module, generates behavior records, and improves monitoring intensity.

[0026] In trajectory analysis, the trajectory analysis module includes a historical trajectory analysis module and an abnormal trajectory recording module. The historical trajectory analysis module is used to analyze the difference between the historical trajectory and the real-time trajectory of the insider. The historical trajectory analysis module is set with a time threshold. When the insider's residence time in the target area reaches the time threshold, the abnormal trajectory recording module marks the video image of the insider in the current area as an abnormal behavior video image, and generates confirmation information on the insider's portable device for the insider to record the abnormal behavior. While reminding the insider, the insider is asked to record the relevant behavior for further processing.

[0027] In addition, the trajectory planning module is responsible for planning the walking path for the internal personnel. The trajectory difference analysis module determines whether the personnel trajectory has deviated based on the planned path, and sends a path deviation reminder and path deviation confirmation to the internal personnel through a portable device when a deviation is detected. While reminding the target personnel of the path deviation, the target personnel is asked to record the deviation to ensure that the personnel follow the established path or record additional task execution records.

[0028] The controlled area demarcation module is used to demarcate the boundaries of the controlled area of ​​the hydropower station. The authority allocation module assigns specific area access rights to internal personnel. The cross-border monitoring module determines whether there is cross-border behavior based on the personnel's regional authority and positioning information, and issues a warning to relevant personnel through a portable device when a cross-border behavior is detected. The broadcast module deploys broadcasting equipment in each area. If an external person is detected to have crossed the boundary, the broadcast module will issue a cross-border warning through the broadcasting equipment in the target area. At the same time, the safety equipment identification module will analyze the video image information to determine whether the person is wearing the necessary safety equipment. If a helmet is not worn, a reminder to wear safety equipment will be issued in the corresponding area through the broadcasting equipment.

[0029] In specific operation, when an employee enters the hydropower station area, the access control facial recognition module is immediately activated to collect his facial image information and match it with the pre-stored data in the database to verify his identity. At the same time, the positioning module uses the Beidou positioning system to accurately record the location of the employee through the portable device carried by the employee, such as a smart mobile phone or tablet. After that, the movement trajectory of internal employees is tracked in real time by the internal personnel trajectory recording module, while the activities of external personnel are monitored and recorded by the control area shooting module. The trajectory analysis module analyzes this data in real time to identify any abnormal or abnormal behavior. For example, if an engineer stays in a key equipment area for more than a preset threshold, the system will automatically mark possible abnormal behavior and notify relevant personnel for confirmation. The trajectory difference analysis module continuously monitors the deviation between the actual trajectory and the planned trajectory. Once a significant deviation is found, the system will issue a warning to the relevant personnel through a portable device to ensure that they return to a safe path. The cross-border monitoring module continuously analyzes the real-time location of personnel and issues a warning from the nearest broadcasting device through the broadcast module when cross-border behavior is detected. In addition, the safety equipment identification module checks the video images to ensure that all personnel are wearing the necessary safety equipment. If they are not wearing the equipment, the system will also remind them through the broadcasting equipment. When abnormal behavior or out-of-bounds behavior is found, in addition to notifying the person immediately, the system will automatically record the details of the event and notify the security management department for further evaluation and processing. This instant feedback mechanism ensures a quick response, thereby improving the overall safety management efficiency.

[0030] In summary, this solution significantly improves the safety management efficiency of hydropower stations through accurate data collection, efficient personnel identification, strict trajectory recording and analysis, and timely safety warnings. Through real-time monitoring and data analysis, it can quickly respond to various abnormal situations and ensure the safety of personnel and facilities in the hydropower station area.

[0031] The above are only embodiments of the present invention. Common knowledge such as the known specific structures and characteristics in the scheme is not described in detail here. Ordinary technicians in the relevant field know all the common technical knowledge in the technical field to which the invention belongs before the application date or priority date, can obtain all the existing technologies in the field, and have the ability to apply conventional experimental means before that date. Ordinary technicians in the relevant field can improve and implement this scheme in combination with their own abilities under the enlightenment given by this application. Some typical known structures or known methods should not become obstacles for ordinary technicians in the relevant field to implement this application. It should be pointed out that for those skilled in the art, without departing from the structure of the present invention, several deformations and improvements can be made, which should also be regarded as the scope of protection of the present invention, and these will not affect the effect of the implementation of the present invention and the practicality of the patent. The scope of protection required by this application shall be based on the content of its claims, and the specific implementation methods and other records in the specification can be used to interpret the content of the claims.

Claims

1. An intelligent safety management and control system for a hydropower station, characterized in that: It includes data acquisition module, personnel identification module, trajectory recording module, trajectory analysis module and abnormal trajectory recording module; The data acquisition module includes a positioning module and an image acquisition module. The positioning module uses a portable device carried by internal staff to collect positioning information. The image acquisition module includes an access control facial recognition module and a control area shooting module. The access control facial recognition module is used to collect facial image information of people entering and leaving, and the control area shooting module is used to collect video image information of the control area. The personnel identification module is used to identify the identity information of the personnel based on the facial image information; the trajectory recording module includes an internal personnel trajectory recording module and an external personnel trajectory recording module; when the personnel identification module identifies the target person as an internal person, the internal personnel trajectory recording module records the movement trajectory of the internal person according to the positioning information; when the personnel identification module identifies the target person as an external person, the external person trajectory recording module records the movement trajectory and behavior of the external person through the control area shooting module and generates the external person behavior record, thereby improving the monitoring intensity of the external person behavior; The trajectory analysis module includes a historical trajectory analysis module and an abnormal trajectory recording module. The historical trajectory analysis module is used to analyze the difference between the historical trajectory and the real-time trajectory of the insider. The historical trajectory analysis module is set with a time threshold. When the insider's residence time in the target area reaches the time threshold, the abnormal trajectory recording module marks the video image of the insider in the current area as an abnormal behavior video image, and generates confirmation information on the insider's portable device for the insider to record the abnormal behavior, thereby improving the abnormal behavior monitoring of the insider.

2. According to claim 1, the intelligent safety management and control system for a hydropower station is characterized by: It also includes a trajectory planning module and a trajectory difference analysis module. The trajectory planning module is used to plan the walking path of the internal personnel; the trajectory difference analysis module is used to determine whether the moving trajectory of the internal personnel deviates from the planned path based on the planned path. When there is a deviation, the path deviation reminder and path deviation confirmation are issued through the portable device of the internal personnel.

3. The intelligent safety management and control system for a hydropower station according to claim 2 is characterized in that: It also includes a controlled area demarcation module, a permission allocation module, and a boundary crossing monitoring module; The controlled area demarcation module is used to divide the boundaries of the controlled area; the authority allocation module is used to allocate area authority to internal personnel; the cross-border monitoring module is used to determine whether the internal personnel have crossed the boundary based on the internal personnel's area authority and positioning information. When the internal personnel have crossed the boundary, a cross-border warning will be issued through the internal personnel's portable device.

4. The intelligent safety management and control system for a hydropower station according to claim 3 is characterized in that: It also includes a broadcasting module, which includes a number of broadcasting devices distributed in various areas; the authority allocation module is also used to allocate unified area authority to external personnel, and the cross-border monitoring module is also used to determine whether external personnel have crossed the border based on the movement trajectory of external personnel. When external personnel have crossed the border, the broadcasting module will issue a cross-border warning through the broadcasting equipment in the target area.

5. The intelligent safety management and control system for a hydropower station according to claim 4 is characterized in that: It also includes a safety equipment identification module, which is used to determine whether the target person is wearing a safety helmet based on the video image information. If the target person is not wearing a safety helmet, a safety equipment wearing reminder is issued through the broadcasting equipment in the area where the target person is located.

6. The intelligent safety management and control system for a hydropower station according to claim 5 is characterized in that: It also includes a facial information entry module, which is used to enter facial feature information of internal personnel.

7. The intelligent safety management and control system for a hydropower station according to claim 6 is characterized in that: The portable device is a mobile phone and / or a tablet.

8. The intelligent safety management and control system for a hydropower station according to claim 7 is characterized in that: The positioning module adopts Beidou positioning module.

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