New energy power station inspection safety management system based on Beidou positioning and image analysis

Abstract

The invention discloses a patrol safety management system for a new energy power station based on Beidou positioning and image analysis, including: a determination module, used to generate a patrol route according to a patrol plan, determine a standard route trajectory map according to the patrol route, and configure the patrol personnel plan according to the attributes of the patrol personnel; a collection and positioning module, used to locate the real-time position of the patrol personnel through Beidou positioning based on the patrol personnel plan and collect patrol video data at the same time; a first early warning module, used to identify the illegal behavior of the patrol personnel according to the patrol video data, determine the violation type according to the identification result and perform corresponding early warning processing; a second early warning module, used to generate a real-time patrol trajectory according to the real-time position of the patrol personnel, compare the deviation degree of the real-time patrol trajectory with the standard route trajectory map, and issue a deviation warning according to the deviation degree. No human intervention is required, which effectively prevents the occurrence of illegal behaviors during the patrol inspection process and improves safety and processing efficiency.

Description

Technical Field

[0001] The present invention relates to the technical field of station safety management, and in particular to a new energy power station inspection safety management system based on Beidou positioning and image analysis. Background Art

[0002] At present, with the transformation of the global energy structure, the number of new energy power stations is increasing, and their safety management is of great significance to ensuring social and economic development. However, the large scale and complex structure of new energy power stations have brought great challenges to the inspection work. How to achieve effective management and monitoring of the inspection process to ensure the safe and stable operation of new energy power stations has become an urgent research topic. The existing inspection work is carried out manually. For the personnel of the new energy workstation, GPS positioning is mainly used to obtain personnel positioning information in daily work. The safety regulations of the inspection personnel are mainly supervised and managed through verbal publicity or fixed cameras. GPS positioning has the problems of positioning deviation and large delay. The construction of new energy power stations requires high geographical conditions, which is easy to cause geographical exposure risks and manual supervision methods are difficult to detect illegal operations in time. A large amount of video image information is difficult to handle in time, and it is impossible to effectively warn of violations. Summary of the invention

[0003] In response to the above-mentioned problems, the present invention provides a new energy power station inspection safety management system based on Beidou positioning and image analysis to solve the problems of positioning deviation and large delay in GPS positioning mentioned in the background technology. The construction of new energy power stations has high requirements on geographical conditions, which easily leads to the risk of geographical location exposure, and manual supervision is difficult to detect illegal operations in time. A large amount of video image information is difficult to process in time, and it is impossible to effectively warn of violations.

[0004] A new energy power station inspection safety management system based on Beidou positioning and image analysis, the system includes:

[0005] A determination module is used to generate an inspection route according to the inspection plan, determine a standard route trajectory map according to the inspection route, and configure the inspection personnel plan according to the inspection personnel attributes;

[0006] The acquisition and positioning module is used to locate the real-time position of the inspection personnel through Beidou positioning based on the inspection personnel planning and collect inspection video data at the same time;

[0007] The first early warning module is used to identify the illegal behaviors of the inspection personnel based on the inspection video data based on the image analysis technology, determine the type of violation based on the identification result and carry out corresponding early warning processing;

[0008] The second warning module is used to generate a real-time inspection trajectory according to the real-time position of the inspection personnel, compare the degree of deviation between the real-time inspection trajectory and the standard route trajectory map, and issue a deviation warning according to the degree of deviation.

[0009] Preferably, the determining module includes:

[0010] The confirmation submodule is used to determine multiple inspection items according to the inspection plan, obtain the associated working equipment of each inspection item and confirm the associated working equipment as the equipment to be inspected;

[0011] A generation submodule is used to determine the distribution area location of the equipment to be inspected in the new energy power station, and generate an inspection route for each equipment to be inspected according to the distribution area location and the operation center location;

[0012] The first determination submodule is used to determine multiple key positions in each inspection route and determine the coordinates of each key position, and connect the coordinates of all key positions to determine a standard route trajectory map;

[0013] The configuration submodule is used to determine the inspection index for each device to be inspected, determine the technical attributes according to the inspection index, determine the corresponding inspection personnel attributes based on the technical attributes, and configure the inspection personnel plan according to the inspection personnel attributes and the statistical information of the technical personnel of the new energy power station.

[0014] Preferably, the acquisition and positioning module includes:

[0015] The second determination submodule is used to obtain the Beidou communication standard, determine the communication signal requirement according to the Beidou communication standard, and determine the target area with the best communication quality in the coverage area of ​​the new energy power station according to the communication signal requirement;

[0016] The third determination submodule is used to obtain the equipment distribution in the target area, determine the best safe position of the satellite positioning equipment according to the equipment distribution, and install the equipment;

[0017] The fourth determination submodule is used to obtain the Beidou positioning signal of the patrol personnel through the satellite positioning device, and determine the real-time position of the patrol personnel according to the Beidou positioning signal;

[0018] The acquisition submodule is used to collect inspection video data of inspection personnel through distributed cameras in the new energy power station.

[0019] Preferably, the first early warning module includes:

[0020] The fifth determination submodule is used to perform frame processing on the inspection video data, and determine the current wearing characteristics and current behavior characteristics of the inspection personnel according to the image frames based on the image analysis technology;

[0021] The identification submodule is used to identify the illegal behaviors of the patrol personnel according to the current wearing characteristics and current behavior characteristics and obtain the identification results;

[0022] The sixth determination submodule is used to determine the violation items of the inspection personnel according to the identification results, obtain the violation types of the violation items, and determine the warning rules according to the violation types;

[0023] The first warning submodule is used to determine the warning method and the attributes of the warning contact person according to the warning rules, determine the warning person based on the attributes of the warning contact person, and issue a warning to the warning person through the warning method.

[0024] Preferably, the second early warning module includes:

[0025] The matching submodule is used to draw a real-time inspection trajectory according to the real-time position of the inspection personnel, and match the real-time inspection trajectory with the standard route trajectory map according to the trajectory matching algorithm;

[0026] The seventh determination submodule is used to determine and calculate the degree of deviation between the real-time inspection trajectory and the standard route trajectory map according to the matching result, and determine the deviation value according to the degree of deviation;

[0027] The second warning submodule is used to confirm whether the deviation value exceeds a preset deviation reference threshold, and if so, determine to trigger a deviation warning reminder;

[0028] The reminder submodule is used to obtain the supporting early warning components of the deviation area where the inspector is located and activate them to issue deviation reminders to the inspector.

[0029] Preferably, the system is also used for:

[0030] Determine real-time weather parameters, determine the real-time weather scene of the new energy power station based on the real-time weather parameters, and determine the open-air attributes of the inspection area;

[0031] Determine potential safety hazard factors in the inspection area based on open-air properties and real-time weather scenarios, and determine potential illegal operating behaviors based on potential safety hazard factors;

[0032] Obtain the behavioral attributes and identification features of potential illegal operation behaviors, and evaluate the potential illegal behaviors based on the behavioral attributes and identification features based on image analysis technology.

[0033] Preferably, after the inspection video data is framed, the system is further used to:

[0034] Obtain monitoring elements of each violation, and determine the monitoring qualitative feature vector of each violation according to the monitoring elements;

[0035] Determine the monitoring definition feature vector, the monitoring analysis feature vector and the monitoring determination feature vector of each violation according to the monitoring qualitative feature vector of the violation;

[0036] Name the violation status of each image frame according to the monitoring definition feature vector, monitoring analysis feature vector and monitoring judgment feature vector of each violation behavior;

[0037] Based on the naming results, the inspectors’ violations are preliminarily identified and the identification results are uploaded.

[0038] Preferably, after confirming whether the deviation value exceeds a preset deviation reference threshold, the system is further used to:

[0039] Determine the deviation reference point of the inspector according to the real-time inspection path, obtain the obstacle parameters and vehicle parameters on the real-time inspection road, and confirm whether there are distributed obstacles or distributed vehicles on the deviation reference point according to the obstacle parameters and vehicle parameters;

[0040] If yes, a path correction function is constructed according to the scale parameter of the obstacle and the volume parameter of the vehicle, and the obstacle avoidance trajectory of the inspection personnel is calculated through the path correction function;

[0041] Confirm the target reference point that is connected to the end point of the obstacle avoidance trajectory in the standard route trajectory diagram, and detect the distance parameter between the target reference point and the deviation reference point;

[0042] Determine the missed inspection task index in the obstacle avoidance process according to the distance parameter, obtain the result attribute of the missed inspection task index, and determine whether the deviation is reasonable according to the result attribute. If so, determine that the path deviation is a reasonable deviation. If not, determine to trigger a deviation warning reminder.

[0043] Preferably, the configuration submodule determines the inspection index for each device to be inspected, determines the technical attributes according to the inspection index, and determines the corresponding inspection personnel attributes based on the technical attributes, including:

[0044] Obtain the working characteristics and usage requirements of each device to be inspected, and determine the inspection indicators for each device to be inspected based on the working characteristics and usage requirements;

[0045] Obtain the operation attributes and test attributes of the inspection indicators, and determine the inspection technical attributes of each device to be inspected according to the operation attributes and test attributes;

[0046] Determine technical capability requirements, technical level requirements and technical proficiency requirements based on inspection technical attributes;

[0047] Determine the corresponding inspection personnel grade attributes based on technical capability requirements, technical level requirements and technical proficiency requirements.

[0048] Preferably, before generating an inspection route according to the inspection plan, determining a standard route trajectory diagram according to the inspection route, and configuring the inspection personnel plan according to the inspection personnel attributes, the system is also used to:

[0049] Construct a new energy power station operation and maintenance inspection table according to the inspection plan, and obtain all data units in the operation and maintenance inspection table;

[0050] Obtain the entry name and entry content of each data unit and form a key-value pair, obtain the inspection device keyword of each key-value pair, associate the inspection device keyword of each key-value pair with the key-value pair and set a data tag;

[0051] All key-value pairs and data tags are combined into a key-value pair set, and the key-value pair set is stored in a relational database;

[0052] By searching for keywords of the equipment to be inspected, basic data units of the equipment to be inspected can be quickly obtained and used as reference conditions for generating inspection routes.

[0053] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0054] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] The accompanying drawings are used to provide further understanding of the present invention and constitute a part of the specification. They are used to explain the present invention together with the embodiments of the present invention and do not constitute a limitation of the present invention.

[0056] Figure 1 This is a structural schematic diagram of a new energy power station inspection safety management system based on Beidou positioning and image analysis provided by the present invention;

[0057] Figure 2 This is a structural schematic diagram of a first early warning module in a new energy power station inspection safety management system based on Beidou positioning and image analysis provided by the present invention;

[0058] Figure 3 This is a structural schematic diagram of the second early warning module in a new energy power station inspection safety management system based on Beidou positioning and image analysis provided by the present invention. DETAILED DESCRIPTION

[0059] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present disclosure. Instead, they are merely examples of devices and methods consistent with some aspects of the present disclosure as detailed in the appended claims.

[0060] At present, with the transformation of the global energy structure, the number of new energy power stations is increasing, and their safety management is of great significance to ensuring social and economic development. However, the large scale and complex structure of new energy power stations have brought great challenges to the inspection work. How to achieve effective management and monitoring of the inspection process to ensure the safe and stable operation of new energy power stations has become an urgent research topic. The existing inspection work is carried out manually. For the personnel of the new energy workstation, GPS positioning is mainly used in daily work to obtain personnel positioning information. The safety specifications of the inspection personnel are mainly supervised and managed by verbal propaganda or fixed cameras. GPS positioning has the problems of positioning deviation and large delay. The geographical conditions for the construction of new energy power stations are high, which is easy to cause geographical location exposure risks and it is difficult to detect illegal operations in time by manual supervision. A large amount of video image information is difficult to be processed in time, and it is impossible to effectively warn of violations. In order to solve the above problems, this embodiment discloses a new energy power station inspection safety management system based on Beidou positioning and image analysis for positioning inspection personnel and monitoring illegal behaviors.

[0061] A new energy power station inspection safety management system based on Beidou positioning and image analysis, such as Figure 1 As shown, the system includes:

[0062] The determination module 101 is used to generate an inspection route according to the inspection plan, determine a standard route trajectory map according to the inspection route, and configure the inspection personnel plan according to the inspection personnel attributes;

[0063] The acquisition and positioning module 102 is used to locate the real-time position of the inspection personnel through Beidou positioning based on the inspection personnel planning and to collect inspection video data at the same time;

[0064] The first early warning module 103 is used to identify the illegal behavior of the inspection personnel based on the inspection video data based on the image analysis technology, determine the type of violation based on the identification result and perform corresponding early warning processing;

[0065] The second warning module 104 is used to generate a real-time inspection trajectory according to the real-time position of the inspection personnel, compare the deviation degree between the real-time inspection trajectory and the standard route trajectory map, and issue a deviation warning according to the deviation degree.

[0066] The working principle of the above technical solution is: first, the inspection route is generated according to the inspection plan through the determination module, the standard route trajectory map is determined according to the inspection route, and the inspection personnel plan is configured according to the attributes of the inspection personnel; secondly, the acquisition and positioning module is used to locate the real-time position of the inspection personnel through Beidou positioning based on the inspection personnel plan and collect inspection video data at the same time; then, based on the first early warning module, the inspection personnel's illegal behavior is identified based on the inspection video data based on image analysis technology, and the violation type is determined according to the identification result and corresponding early warning processing is performed; finally, the second early warning module is used to generate a real-time inspection trajectory according to the real-time position of the inspection personnel, and the degree of deviation between the real-time inspection trajectory and the standard route trajectory map is compared, and a deviation warning is issued according to the degree of deviation.

[0067] The beneficial effects of the above technical solution are as follows: by using Beidou positioning instead of GPS positioning, the movement trajectory formed by the positioning of personnel can have a lower delay and a stronger anti-interference ability, and at the same time, the positioning information can be autonomously controlled, thereby improving information security and positioning accuracy. Furthermore, by using image analysis technology to monitor the behavior videos of patrol personnel for violations, intelligent and precise monitoring can be achieved without human intervention, thereby improving monitoring efficiency, effectively preventing the occurrence of violations during the inspection process, improving safety and processing efficiency, and solving the problems of positioning deviation and large delay in GPS positioning mentioned in the prior art. The construction of new energy power stations has high requirements on geographical conditions, which can easily lead to the risk of geographical location exposure, and it is difficult to detect illegal operations in a timely manner through manual supervision. A large amount of video image information is difficult to process in a timely manner, and it is impossible to effectively warn of violations.

[0068] In this embodiment, after the inspection route is generated according to the inspection plan, the following steps are also included:

[0069] Determine multiple inspection scenarios according to the inspection route, construct an inspection scenario graph based on the multiple inspection scenarios, and extract the necessary inspection endpoints in the inspection scenario graph;

[0070] Generate a sequence of inspection points based on the inspection endpoints that must be passed, and generate a necessary inspection path based on the inspection point sequence and the turning points in each inspection scenario;

[0071] Determine the kinematic parameters of the inspector in each inspection scene according to the motion restriction factors of each inspection scene, and construct a kinematic model of the inspector in each inspection scene according to the kinematic parameters;

[0072] Obtain output motion sequences according to the kinematic model, and determine the motion decisions of the inspectors in each inspection scene according to the output motion sequences;

[0073] According to the motion decision, a multi-task network-based motion planning model is constructed, and the motion planning of the inspectors on the inspection route is generated according to the network-based motion planning model and the inspection path.

[0074] The motion plan is associated with the inspection route and uploaded to the inspector’s smart terminal.

[0075] The beneficial effects of the above technical solution are: by generating motion planning for the inspection route, the inspection personnel can know the movement mode during the inspection process in advance, thereby improving the inspection efficiency. Furthermore, by constructing a kinematic model based on the scene motion restriction parameters, adaptive motion decisions can be generated based on the possible movement modes of each inspection scene, ensuring adaptability and practicality.

[0076] In one embodiment, the determining module includes:

[0077] The confirmation submodule is used to determine multiple inspection items according to the inspection plan, obtain the associated working equipment of each inspection item and confirm the associated working equipment as the equipment to be inspected;

[0078] A generation submodule is used to determine the distribution area location of the equipment to be inspected in the new energy power station, and generate an inspection route for each equipment to be inspected according to the distribution area location and the operation center location;

[0079] The first determination submodule is used to determine multiple key positions in each inspection route and determine the coordinates of each key position, and connect the coordinates of all key positions to determine a standard route trajectory map;

[0080] The configuration submodule is used to determine the inspection index for each device to be inspected, determine the technical attributes according to the inspection index, determine the corresponding inspection personnel attributes based on the technical attributes, and configure the inspection personnel plan according to the inspection personnel attributes and the statistical information of the technical personnel of the new energy power station.

[0081] The beneficial effects of the above technical solution are: an inspection route for each device to be inspected is generated according to the distribution area position of each device to be inspected in the new energy power station, and the coordinates of the key positions in the inspection path are connected to generate a standard route trajectory map, which can ensure the accuracy and standardization of the inspection path, avoid deviation from the inspection route, resulting in some inspection items not being inspected, and improve the inspection efficiency and inspection quality. Furthermore, by planning the inspection personnel, suitable technical personnel can be selected for inspection according to the inspection needs of the equipment to be inspected, thereby improving the inspection efficiency and inspection reliability.

[0082] In one embodiment, the acquisition and positioning module includes:

[0083] The second determination submodule is used to obtain the Beidou communication standard, determine the communication signal requirement according to the Beidou communication standard, and determine the target area with the best communication quality in the coverage area of ​​the new energy power station according to the communication signal requirement;

[0084] The third determination submodule is used to obtain the equipment distribution in the target area, determine the best safe position of the satellite positioning equipment according to the equipment distribution, and install the equipment;

[0085] The fourth determination submodule is used to obtain the Beidou positioning signal of the patrol personnel through the satellite positioning device, and determine the real-time position of the patrol personnel according to the Beidou positioning signal;

[0086] The acquisition submodule is used to collect inspection video data of inspection personnel through distributed cameras in the new energy power station.

[0087] The beneficial effects of the above technical solution are: by determining the target area with the best communication quality in the coverage area of ​​the new energy power station, installing satellite positioning equipment, determining the real-time position of the patrol personnel, and collecting the patrol video data of the patrol personnel, the patrol personnel's inspection process can be effectively supervised, ensuring the best Beidou positioning effect and accuracy, while also ensuring communication stability.

[0088] In one embodiment, Figure 2 As shown, the first early warning module 103 includes:

[0089] The fifth determination submodule 1031 is used to perform frame processing on the inspection video data, and determine the current wearing characteristics and current behavior characteristics of the inspection personnel according to the image frames based on the image analysis technology;

[0090] The identification submodule 1032 is used to identify the illegal behavior of the patrol personnel according to the current wearing characteristics and current behavior characteristics, and obtain the identification result;

[0091] The sixth determination submodule 1033 is used to determine the violation item of the inspection personnel according to the identification result, obtain the violation type of the violation item, and determine the warning rule according to the violation type;

[0092] The first warning submodule 1034 is used to determine the warning method and the attributes of the warning contact person according to the warning rule, determine the warning person based on the attributes of the warning contact person, and perform warning processing on the warning person through the warning method.

[0093] The beneficial effects of the above technical solution are: determining the current wearing characteristics and current behavioral characteristics of the inspectors based on the inspection video data, judging whether there are any violations, determining the violation types and warning rules, which can effectively avoid the violations of the inspectors and improve the safety of the inspections. At the same time, warnings can be issued according to different warning methods and the attributes of the warning contact persons, which can improve the warning efficiency and carry out targeted warnings. Different types of warnings are issued for wearing violations and behavioral violations, and the form of violation can be quickly determined and effectively handled, thereby improving practicality.

[0094] In one embodiment, Figure 3 As shown, the second early warning module 104 includes:

[0095] The matching submodule 1041 is used to draw a real-time inspection trajectory according to the real-time position of the inspection personnel, and match the real-time inspection trajectory with the standard route trajectory map according to the trajectory matching algorithm;

[0096] The seventh determination submodule 1042 is used to determine and calculate the degree of deviation between the real-time inspection trajectory and the standard route trajectory map according to the matching result, and determine the deviation value according to the degree of deviation;

[0097] The second warning submodule 1043 is used to confirm whether the deviation value exceeds a preset deviation reference threshold, and if so, determine to trigger a deviation warning reminder;

[0098] The reminder submodule 1044 is used to obtain the supporting early warning component of the deviation area where the inspection personnel are located and activate it to issue a deviation reminder to the inspection personnel.

[0099] The beneficial effects of the above technical solution are: matching the real-time inspection trajectory drawn according to the real-time position of the inspection personnel with the standard route trajectory map, obtaining the deviation value, and judging whether the deviation value deviates from the reference threshold. It can accurately judge whether the inspection personnel are inspecting according to the prescribed route inspection, improve the inspection quality, and monitor the personnel's activity range in real time to avoid personnel safety issues when the inspection range is large and the climate environment is complex.

[0100] In one embodiment, the system is further configured to:

[0101] Determine real-time weather parameters, determine the real-time weather scene of the new energy power station based on the real-time weather parameters, and determine the open-air attributes of the inspection area;

[0102] Determine potential safety hazard factors in the inspection area based on open-air properties and real-time weather scenarios, and determine potential illegal operating behaviors based on potential safety hazard factors;

[0103] Obtain the behavioral attributes and identification features of potential illegal operation behaviors, and evaluate the potential illegal behaviors based on the behavioral attributes and identification features based on image analysis technology.

[0104] The beneficial effects of the above technical solution are: determining the potential safety hazard factors and potential illegal operation behaviors in the inspection area according to the open-air properties and real-time weather scenarios of the inspection area, and evaluating the potential illegal operation behaviors based on the behavioral attributes and identification characteristics of the potential illegal operation behaviors. It can intelligently set potential illegal behaviors that are not entered into the model according to the weather environment and then perform intelligent monitoring, thereby improving the comprehensiveness of the illegal behavior evaluation.

[0105] In one embodiment, after the inspection video data is framed, the system is further used to:

[0106] Obtain monitoring elements of each violation, and determine the monitoring qualitative feature vector of each violation according to the monitoring elements;

[0107] Determine the monitoring definition feature vector, the monitoring analysis feature vector and the monitoring determination feature vector of each violation according to the monitoring qualitative feature vector of the violation;

[0108] Name the violation status of each image frame according to the monitoring definition feature vector, monitoring analysis feature vector and monitoring judgment feature vector of each violation behavior;

[0109] Based on the naming results, the inspectors’ violations are preliminarily identified and the identification results are uploaded.

[0110] The beneficial effects of the above technical solution are: determining multiple feature vectors of illegal behaviors based on the monitored qualitative feature vectors of illegal behaviors, naming the illegal status of each image frame and performing preliminary identification and uploading the identification results, which can lay the foundation for the later identification of illegal behaviors, and more quickly and accurately identify the illegal behaviors of patrol personnel. At the same time, the illegal frames of patrol personnel can also be quickly screened out according to the image frame naming, reducing the amount of data processing and improving work efficiency.

[0111] In one embodiment, after confirming whether the deviation value exceeds a preset deviation reference threshold, the system is further configured to:

[0112] Determine the deviation reference point of the inspector according to the real-time inspection path, obtain the obstacle parameters and vehicle parameters on the real-time inspection road, and confirm whether there are distributed obstacles or distributed vehicles on the deviation reference point according to the obstacle parameters and vehicle parameters;

[0113] If yes, a path correction function is constructed according to the scale parameter of the obstacle and the volume parameter of the vehicle, and the obstacle avoidance trajectory of the inspection personnel is calculated through the path correction function;

[0114] Confirm the target reference point that is connected to the end point of the obstacle avoidance trajectory in the standard route trajectory diagram, and detect the distance parameter between the target reference point and the deviation reference point;

[0115] Determine the missed inspection task index in the obstacle avoidance process according to the distance parameter, obtain the result attribute of the missed inspection task index, and determine whether the deviation is reasonable according to the result attribute. If so, determine that the path deviation is a reasonable deviation. If not, determine to trigger a deviation warning reminder.

[0116] The beneficial effects of the above technical solution are: it can effectively identify unreasonable path deviations and issue early warning reminders in time to prevent possible safety accidents. At the same time, through the analysis of the result attributes of the missed inspection task indicators, it can better understand the reasons for path deviations, so as to take more effective measures to correct the deviations and improve the accuracy and efficiency of inspections.

[0117] In one embodiment, the configuration submodule determines the inspection index for each device to be inspected, determines the technical attribute according to the inspection index, and determines the corresponding inspection personnel attribute based on the technical attribute, including:

[0118] Obtain the working characteristics and usage requirements of each device to be inspected, and determine the inspection indicators for each device to be inspected based on the working characteristics and usage requirements;

[0119] Obtain the operation attributes and test attributes of the inspection indicators, and determine the inspection technical attributes of each device to be inspected according to the operation attributes and test attributes;

[0120] Determine technical capability requirements, technical level requirements and technical proficiency requirements based on inspection technical attributes;

[0121] Determine the corresponding inspection personnel grade attributes based on technical capability requirements, technical level requirements and technical proficiency requirements.

[0122] The beneficial effects of the above technical solution are: determining the inspection indicators according to the working characteristics and usage requirements of the equipment to be inspected, thereby determining the inspection technical attributes of each equipment to be inspected, and obtaining the corresponding inspection personnel level attributes, which can make the inspection work more refined, targeted and efficient. At the same time, it can avoid work errors or waste of resources caused by insufficient capabilities or improper matching of inspection personnel, and improve the overall smooth completion of work and inspection quality.

[0123] In one embodiment, before generating an inspection route according to the inspection plan, determining a standard route trajectory map according to the inspection route, and configuring the inspection personnel plan according to the inspection personnel attributes, the system is further used to:

[0124] Construct a new energy power station operation and maintenance inspection table according to the inspection plan, and obtain all data units in the operation and maintenance inspection table;

[0125] Obtain the entry name and entry content of each data unit and form a key-value pair, obtain the inspection device keyword of each key-value pair, associate the inspection device keyword of each key-value pair with the key-value pair and set a data tag;

[0126] All key-value pairs and data tags are combined into a key-value pair set, and the key-value pair set is stored in a relational database;

[0127] By searching for keywords of the equipment to be inspected, basic data units of the equipment to be inspected can be quickly obtained and used as reference conditions for generating inspection routes.

[0128] The beneficial effects of the above technical solution are: constructing a new energy power station operation and maintenance inspection table according to the inspection plan, and obtaining inspection equipment keywords based on the key-value pairs composed of the entry name and entry content of each data unit, which can provide an effective management method for the association between inspection equipment and data, help improve the utilization rate of inspection equipment and the efficiency of inspection work, and at the same time, obtain the basic data units of the equipment to be inspected and generate reference conditions for the inspection route, which can ensure the accuracy of the inspection route and the efficiency of the inspection.

[0129] Those skilled in the art should understand that the first and second in the present invention merely refer to different application stages.

[0130] Other embodiments of the present disclosure will be readily apparent to those skilled in the art after considering the specification and practicing the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the present disclosure that follow the general principles of the present disclosure and include common knowledge or customary techniques in the art that are not disclosed in the present disclosure. The specification and examples are to be considered exemplary only, and the true scope and spirit of the present disclosure are indicated by the following claims.

[0131] It should be understood that the present disclosure is not limited to the exact structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims

1. A new energy power station inspection safety management system based on Beidou positioning and image analysis, characterized in that: The system includes: A determination module is used to generate an inspection route according to the inspection plan, determine a standard route trajectory map according to the inspection route, and configure the inspection personnel plan according to the inspection personnel attributes; The acquisition and positioning module is used to locate the real-time position of the inspection personnel through Beidou positioning based on the inspection personnel planning and collect inspection video data at the same time; The first early warning module is used to identify the illegal behaviors of the inspection personnel based on the inspection video data based on the image analysis technology, determine the type of violation based on the identification result and carry out corresponding early warning processing; The second warning module is used to generate a real-time inspection trajectory according to the real-time position of the inspection personnel, compare the degree of deviation between the real-time inspection trajectory and the standard route trajectory map, and issue a deviation warning according to the degree of deviation.

2. According to claim 1, the new energy power station inspection safety management system based on Beidou positioning and image analysis is characterized in that: The determining module comprises: The confirmation submodule is used to determine multiple inspection items according to the inspection plan, obtain the associated working equipment of each inspection item and confirm the associated working equipment as the equipment to be inspected; A generation submodule is used to determine the distribution area location of the equipment to be inspected in the new energy power station, and generate an inspection route for each equipment to be inspected according to the distribution area location and the operation center location; The first determination submodule is used to determine multiple key positions in each inspection route and determine the coordinates of each key position, and connect the coordinates of all key positions to determine a standard route trajectory map; The configuration submodule is used to determine the inspection index for each device to be inspected, determine the technical attributes according to the inspection index, determine the corresponding inspection personnel attributes based on the technical attributes, and configure the inspection personnel plan according to the inspection personnel attributes and the statistical information of the technical personnel of the new energy power station.

3. According to the new energy power station inspection safety management system based on Beidou positioning and image analysis as claimed in claim 1, it is characterized in that: The acquisition and positioning module includes: The second determination submodule is used to obtain the Beidou communication standard, determine the communication signal demand according to the Beidou communication standard, and determine the target area with the best communication quality in the coverage area of ​​the new energy power station according to the communication signal demand; The third determination submodule is used to obtain the equipment distribution in the target area, determine the best safe position of the satellite positioning equipment according to the equipment distribution, and install the equipment; The fourth determination submodule is used to obtain the Beidou positioning signal of the patrol personnel through the satellite positioning device, and determine the real-time position of the patrol personnel according to the Beidou positioning signal; The acquisition submodule is used to collect inspection video data of inspection personnel through distributed cameras in the new energy power station.

4. According to claim 1, the new energy power station inspection safety management system based on Beidou positioning and image analysis is characterized in that: The first early warning module includes: The fifth determination submodule is used to perform frame processing on the inspection video data, and determine the current wearing characteristics and current behavior characteristics of the inspection personnel according to the image frames based on the image analysis technology; The identification submodule is used to identify the illegal behaviors of the patrol personnel according to the current wearing characteristics and current behavior characteristics and obtain the identification results; The sixth determination submodule is used to determine the violation items of the inspection personnel according to the identification results, obtain the violation types of the violation items, and determine the warning rules according to the violation types; The first warning submodule is used to determine the warning method and the attributes of the warning contact person according to the warning rules, determine the warning person based on the attributes of the warning contact person, and issue a warning to the warning person through the warning method.

5. According to claim 1, the new energy power station inspection safety management system based on Beidou positioning and image analysis is characterized in that: The second early warning module comprises: The matching submodule is used to draw a real-time inspection trajectory according to the real-time position of the inspection personnel, and match the real-time inspection trajectory with the standard route trajectory map according to the trajectory matching algorithm; The seventh determination submodule is used to determine and calculate the degree of deviation between the real-time inspection trajectory and the standard route trajectory map according to the matching result, and determine the deviation value according to the degree of deviation; The second warning submodule is used to confirm whether the deviation value exceeds a preset deviation reference threshold, and if so, determine to trigger a deviation warning reminder; The reminder submodule is used to obtain the supporting early warning components of the deviation area where the inspector is located and activate them to issue deviation reminders to the inspector.

6. According to claim 1, the new energy power station inspection safety management system based on Beidou positioning and image analysis is characterized in that: The system is also used to: Determine real-time weather parameters, determine the real-time weather scene of the new energy power station based on the real-time weather parameters, and determine the open-air attributes of the inspection area; Determine potential safety hazard factors in the inspection area based on open-air properties and real-time weather scenarios, and determine potential illegal operating behaviors based on potential safety hazard factors; Obtain the behavioral attributes and identification features of potential illegal operation behaviors, and evaluate the potential illegal behaviors based on the behavioral attributes and identification features based on image analysis technology.

7. The new energy power station inspection safety management system based on Beidou positioning and image analysis according to claim 4 is characterized in that: After the inspection video data is framed, the system is also used to: Obtain monitoring elements of each violation, and determine the monitoring qualitative feature vector of each violation according to the monitoring elements; Determine the monitoring definition feature vector, the monitoring analysis feature vector and the monitoring determination feature vector of each violation according to the monitoring qualitative feature vector of the violation; Name the violation status of each image frame according to the monitoring definition feature vector, monitoring analysis feature vector and monitoring judgment feature vector of each violation behavior; Based on the naming results, the inspectors’ violations are preliminarily identified and the identification results are uploaded.

8. The new energy power station inspection safety management system based on Beidou positioning and image analysis according to claim 5 is characterized in that: After confirming whether the deviation value exceeds a preset deviation reference threshold, the system is further configured to: Determine the deviation reference point of the inspector according to the real-time inspection path, obtain the obstacle parameters and vehicle parameters on the real-time inspection road, and confirm whether there are distributed obstacles or distributed vehicles on the deviation reference point according to the obstacle parameters and vehicle parameters; If yes, a path correction function is constructed according to the scale parameter of the obstacle and the volume parameter of the vehicle, and the obstacle avoidance trajectory of the inspection personnel is calculated through the path correction function; Confirm the target reference point that is connected to the end point of the obstacle avoidance trajectory in the standard route trajectory diagram, and detect the distance parameter between the target reference point and the deviation reference point; Determine the missed inspection task index in the obstacle avoidance process according to the distance parameter, obtain the result attribute of the missed inspection task index, and determine whether the deviation is reasonable according to the result attribute. If so, determine that the path deviation is a reasonable deviation. If not, determine to trigger a deviation warning reminder.

9. The new energy power station inspection safety management system based on Beidou positioning and image analysis according to claim 2 is characterized in that: The configuration submodule determines the inspection index for each device to be inspected, determines the technical attributes according to the inspection index, and determines the corresponding inspection personnel attributes based on the technical attributes, including: Obtain the working characteristics and usage requirements of each device to be inspected, and determine the inspection indicators for each device to be inspected based on the working characteristics and usage requirements; Obtain the operation attributes and test attributes of the inspection indicators, and determine the inspection technical attributes of each device to be inspected according to the operation attributes and test attributes; Determine technical capability requirements, technical level requirements and technical proficiency requirements based on inspection technical attributes; Determine the corresponding inspection personnel grade attributes based on technical capability requirements, technical level requirements and technical proficiency requirements.

10. The new energy power station inspection safety management system based on Beidou positioning and image analysis according to claim 1 is characterized in that: Before generating an inspection route according to the inspection plan, determining a standard route trajectory map according to the inspection route, and configuring the inspection personnel plan according to the inspection personnel attributes, the system is also used to: Construct a new energy power station operation and maintenance inspection table according to the inspection plan, and obtain all data units in the operation and maintenance inspection table; Obtain the entry name and entry content of each data unit and form a key-value pair, obtain the inspection device keyword of each key-value pair, associate the inspection device keyword of each key-value pair with the key-value pair and set a data tag; All key-value pairs and data tags are combined into a key-value pair set, and the key-value pair set is stored in a relational database; By searching for keywords of the equipment to be inspected, basic data units of the equipment to be inspected can be quickly obtained and used as reference conditions for generating inspection routes.

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