Power plant operation safety comprehensive training risk management and control system
By designing a comprehensive training risk control system for power plant operation safety, and using information collection, training matching, test scoring and inspection improvement modules, the problems of unified, lack of practicality and single evaluation of existing power plant operation safety training are solved, and the precise matching and continuous improvement of training content are achieved.
Patent Information
- Application Number
- CN202411915449.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-24
- Publication Date
- 2025-04-18
AI Technical Summary
The existing power plant operation safety training has problems such as unified training content, lack of practicality and interactivity, single evaluation methods, and insufficient results tracking, resulting in unsatisfactory training results.
Design a comprehensive training risk control system for power plant operation safety, including information collection module, training matching module, test scoring module and inspection and improvement module. Through keyword extraction and similarity comparison, technology matching training content is used, three-dimensional simulation space and digital twin technology are used for all-round testing, and the training effect is continuously improved through weak point identification and retraining mechanisms.
It achieves accurate matching of training content, improves training efficiency and pertinence, provides more objective and accurate evaluation results, and ensures continuous improvement of trainee training results.
Smart Images

Figure CN119849928A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of power plant operation training control, and more specifically, to a power plant operation safety comprehensive training risk control system. Background Art
[0002] The development of the power industry is closely related to the entire society. As the core part of the power system, the safe production of power plants is directly related to the stable operation and power supply quality of the entire power grid. Therefore, ensuring the safety of power plant operations is the basis for the sustainable and healthy development of the power industry.
[0003] At present, there are mainly the following problems in power plant operation safety training:
[0004] The training content is unified, and fails to match personalized training plans for trainees in different positions and working environments, resulting in unsatisfactory training results; traditional training methods are mainly classroom lectures, lacking practicality and interactivity, making it difficult for trainees to truly experience and master the key points of operational safety; the training evaluation method is single, mainly relying on written exams or simple practical assessments, which cannot comprehensively evaluate trainees' actual operational capabilities and safety awareness; the training effect tracking is insufficient, and there is a lack of continuous tracking and evaluation mechanism for trainees after training, making it difficult to promptly discover and resolve trainees' weaknesses.
[0005] In view of this, the present invention proposes a power plant operation safety comprehensive training risk management and control system to solve the above problems. Summary of the invention
[0006] In order to overcome the above-mentioned defects of the prior art and to achieve the above-mentioned purpose, the present invention provides the following technical solution: a power plant operation safety comprehensive training risk management and control system, comprising:
[0007] Information collection module, collects and processes the information of students, and then obtains the comprehensive information of students;
[0008] The training matching module presets combination rules and matches the corresponding training content for trainees based on the combination rules and comprehensive information;
[0009] The test scoring module obtains the test corresponding to the training content and calculates the test score of the trainees according to the preset scoring rules;
[0010] The inspection and improvement module obtains the trainees’ weaknesses based on the test scores, and retrains the trainees based on the weaknesses until the trainees reach the preset test scores.
[0011] Furthermore, the method of collecting and processing the information of the students to obtain the comprehensive information of the students includes:
[0012] Formulate an information form, in which the trainee enters his / her occupational information, personal information and work environment information, wherein the occupational information, personal information and work environment information are all the trainee's information;
[0013] Extract keywords from the students' professional information, personal information, and work environment information to obtain personal keywords, professional keywords, and environmental keywords;
[0014] The personal keywords, occupational keywords and environmental keywords are respectively compared with the preset benchmark personal keywords, benchmark occupational keywords and benchmark environmental keywords for similarity, wherein the benchmark personal keywords, benchmark occupational keywords and benchmark environmental keywords are all benchmark keywords;
[0015] The top n benchmark personal keywords, benchmark occupational keywords, and benchmark environmental keywords with the highest similarity are summarized to obtain comprehensive information about the students.
[0016] Furthermore, the preset combination rule, and the method of matching corresponding training content for trainees according to the combination rule and the comprehensive information, include:
[0017] Set the training content corresponding to each benchmark keyword, and associate each benchmark keyword with the corresponding training content;
[0018] Collect actual cases, extract benchmark keywords corresponding to the actual cases, and associate the actual cases with the corresponding benchmark keywords;
[0019] Obtaining the content proportion of each benchmark keyword in the actual case, and arranging the benchmark keywords of the actual case in descending order according to the content proportion, thereby obtaining a benchmark keyword sequence of the actual case;
[0020] Preset combination rules, the combination rules are the training time corresponding to each benchmark keyword, the minimum percentage of each benchmark keyword in the training content, and the maximum training time not exceeding the trainee;
[0021] The degree of compatibility between comprehensive information and actual cases is obtained, and multiple actual cases that reach the preset degree of compatibility threshold and meet the combination rules are used as training content for trainees.
[0022] Furthermore, the method of obtaining the content proportion of each benchmark keyword in the actual case includes:
[0023] Obtain the duration of the actual case, obtain the appearance duration of each benchmark keyword in the actual case, obtain the completion degree of each benchmark keyword in the actual case, and obtain the operation safety threshold corresponding to each benchmark keyword in the actual case;
[0024] The duration of each benchmark keyword in the actual case, the degree of completion of each benchmark keyword, and the corresponding operational safety threshold of each benchmark keyword are compared with the duration of the actual case to obtain the content proportion of each benchmark keyword in the actual case. The expression is:
[0025]
[0026] In the formula, R i represents the content proportion of the i-th benchmark keyword, t i represents the duration of the occurrence of the i-th benchmark keyword, T represents the duration of the actual case, and s i represents the operational safety threshold of the i-th benchmark keyword. The operational safety threshold is obtained by expert evaluation method, using a scale of 1-10. a represents the preset minimum operational safety threshold. Indicates that the operation safety threshold of the i-th benchmark keyword is 0 when it is less than the minimum operation safety threshold. i represents the completion of the i-th benchmark keyword, w represents the preset minimum completion, It means that when the completion degree of the i-th benchmark keyword is less than the minimum completion degree, its value is 0.
[0027] Furthermore, the method of obtaining the degree of compatibility between the comprehensive information and the actual case includes:
[0028] Obtaining the benchmark keyword matching degree between comprehensive information and actual cases and obtaining the learning difficulty matching degree between comprehensive information and actual cases;
[0029] According to the benchmark keyword matching degree and learning difficulty matching degree between the comprehensive information and the actual case, the adaptability between the comprehensive information and the actual case can be obtained, and its expression is:
[0030] SP=W1*K+W2*L;
[0031] Where SP represents the degree of fit between comprehensive information and actual cases, K is the benchmark keyword matching degree between comprehensive information and actual cases, L is the learning difficulty matching degree of actual cases, W1 and W2 are the benchmark keyword matching degree and learning difficulty matching degree between comprehensive information and actual cases, respectively, and the sum of W1 and W2 is 1.
[0032] Furthermore, the benchmark keyword matching degree is obtained in the following manner:
[0033] K = 2*|A∩B| / (|A|+|B|);
[0034] Where K is the benchmark keyword matching degree, A is the benchmark keyword set of comprehensive information, B is the benchmark keyword set of actual cases, |A∩B| represents the number of elements in the intersection of A and B, |A| and |B| represent the number of elements in sets A and B respectively;
[0035] The learning difficulty matching degree is obtained in the following manner:
[0036] L=1-|D1-A1|D max ;
[0037] In the formula, D1 is the difficulty level expected by the students, A1 is the difficulty level of the actual case, and Dmax is the maximum difficulty level.
[0038] Furthermore, the method of obtaining the test corresponding to the training content includes:
[0039] Obtain actual cases corresponding to the training content and establish a three-dimensional simulation space for the actual cases;
[0040] A digital twin model corresponding to the actual case is established in the three-dimensional simulation space, and then the test corresponding to the training content is obtained.
[0041] Furthermore, the method of calculating the test score of the student according to the preset scoring rules includes:
[0042] Connect the three-dimensional simulation space corresponding to the test with the VR experience device;
[0043] The scoring rule is preset, and the scoring rule is to set h scoring points in the three-dimensional simulation space, each scoring point corresponds to a different score, the order in which each scoring point is triggered corresponds to a different score, and different time intervals between adjacent scoring points correspond to different scores;
[0044] After the students complete the test, all scores are summarized to obtain the student's test score.
[0045] Furthermore, the method of obtaining the weaknesses of the trainee according to the test score and retraining the trainee according to the weaknesses until the trainee reaches the preset test score includes:
[0046] Classify the tests to obtain the test categories of the tests;
[0047] Obtain the test scores of the students in each test category, subtract the test scores of each test category from the preset test scores of each test category, and arrange the obtained differences in descending order to obtain a test score difference sequence;
[0048] The first m test categories in the test score difference sequence are regarded as the weak points of the students;
[0049] Obtain the test category of the weak item, and obtain the training content corresponding to the weak item according to the test category of the weak item;
[0050] Obtain the actual cases that match the training content corresponding to the weak points, and use the actual cases corresponding to the weak points to retrain the trainees;
[0051] Repeat the above process until the student reaches the preset test score.
[0052] Furthermore, the training matching module also includes emergency rescue and occupational disease prevention and treatment.
[0053] The technical effects and advantages of the power plant operation safety comprehensive training risk management and control system of the present invention are as follows:
[0054] 1. Through the information collection module, the information of trainees is comprehensively collected and analyzed. The keyword extraction and similarity comparison technology are used to achieve accurate matching of training content, ensuring that the training content is highly consistent with the actual needs of trainees. In addition, by establishing the association between the benchmark keywords and the training content, and using the adaptability and combination rules to automatically match the most suitable training content, the training efficiency and pertinence can be improved.
[0055] 2. By constructing a three-dimensional simulation space, applying digital twin technology, and combining VR experience devices, it is possible to achieve all-round, immersive testing and provide more objective and accurate evaluation results. It is also possible to accurately identify trainees' weaknesses and implement targeted retraining on those weaknesses, thereby ensuring continuous improvement in trainees' training results. BRIEF DESCRIPTION OF THE DRAWINGS
[0056] Figure 1 It is a structural schematic diagram of a power plant operation safety comprehensive training risk management and control system of the present invention;
[0057] Figure 2 It is a schematic diagram of the process of the present invention;
[0058] Figure 3 It is a schematic diagram of the process flow of the scoring test module of the present invention. DETAILED DESCRIPTION
[0059] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0060] Example 1
[0061] See also Figures 1 to 3As shown, the power plant operation safety comprehensive training risk management and control system described in this embodiment includes:
[0062] Information collection module, collects and processes the information of students, and then obtains the comprehensive information of students;
[0063] The training matching module presets combination rules and matches the corresponding training content for trainees based on the combination rules and comprehensive information;
[0064] The test scoring module obtains the test corresponding to the training content and calculates the test score of the trainees according to the preset scoring rules;
[0065] The inspection and improvement module obtains the trainees’ weaknesses based on the test scores, and retrains the trainees based on the weaknesses until the trainees reach the preset test scores.
[0066] Specifically, the methods of collecting and processing the information of the students and obtaining the comprehensive information of the students include:
[0067] Formulate an information form, in which the trainee enters his / her occupational information, personal information and work environment information, wherein the occupational information, personal information and work environment information are all the trainee's information;
[0068] Using natural language processing technology, the personal keywords, occupational keywords and environmental keywords are respectively compared with preset benchmark personal keywords, benchmark occupational keywords and benchmark environmental keywords for similarity (similarity algorithms such as cosine similarity, Jaccard similarity, edit distance, etc. are used to compare keywords), wherein the benchmark personal keywords, benchmark occupational keywords and benchmark environmental keywords are all benchmark keywords;
[0069] The top n benchmark personal keywords, benchmark occupational keywords and benchmark environmental keywords with the highest similarity are summarized to obtain the comprehensive information of the students, and n can be set by relevant personnel.
[0070] It should be noted that personal information may include the trainee's age, gender, and physical health status; occupational information may include various occupational categories in power plants; work environment information may include power plant types (such as coal-fired power plants, nuclear power plants, wind power plants, etc.), work areas (such as boiler rooms, generator rooms, control rooms, etc.), types of daily operating equipment, safety hazards in the working environment (such as high temperature, high pressure, radiation, etc.), etc. In addition, a similarity threshold can also be set, and only benchmark keywords that exceed the similarity threshold will be considered for summarizing the trainees' comprehensive information.
[0071] Specifically, the preset combination rules and the method of matching corresponding training content for trainees according to the combination rules and comprehensive information include:
[0072] Set the training content corresponding to each benchmark keyword, and associate each benchmark keyword with the corresponding training content;
[0073] Collect actual cases, extract benchmark keywords corresponding to the actual cases, and associate the actual cases with the corresponding benchmark keywords;
[0074] Obtaining the content proportion of each benchmark keyword in the actual case, and arranging the benchmark keywords of the actual case in descending order according to the content proportion, thereby obtaining a benchmark keyword sequence of the actual case;
[0075] Preset combination rules, the combination rules are the training time corresponding to each benchmark keyword, the minimum percentage of each benchmark keyword in the training content, and the maximum training time not exceeding the trainee;
[0076] The degree of compatibility between comprehensive information and actual cases is obtained, and multiple actual cases that reach the preset degree of compatibility threshold and meet the combination rules are used as training content for trainees.
[0077] It should be noted that corresponding actual cases are set for each benchmark keyword (such as "boiler operation safety", "coal-fired power plant safety regulations", etc.), and these actual cases can be specific courses, tutorials, videos, simulation operations, etc.;
[0078] For example, the comprehensive information of student Q contains keywords such as "boiler operation safety", "coal-fired power plant safety regulations" and "high temperature work protection". According to the preset combination rules, the system may match the following actual cases as training content:
[0079] Case 1: An accident caused by improper boiler operation. Keywords include "boiler operation safety" and "emergency treatment". The training time is 2 hours.
[0080] Case 2: A successful safety inspection of a coal-fired power plant. Keywords included “safety regulations for coal-fired power plants” and “equipment inspection”. The training time was 1.5 hours.
[0081] Case 3: Safety guide for working in high temperature environment, keywords include "high temperature work protection" and "personal protective equipment", and the training time is 1 hour;
[0082] The keywords of these cases are highly matched with the comprehensive information of the trainees and conform to the preset combination rules (such as training time, content proportion, etc.). Therefore, the system can use these cases as the training content for trainee Zhang San and organize and present them in a certain order to ensure the effectiveness and pertinence of the training.
[0083] Specifically, the methods for obtaining the content proportion of each benchmark keyword in actual cases include:
[0084] Obtain the duration of the actual case, obtain the appearance duration of each benchmark keyword in the actual case, obtain the completion degree of each benchmark keyword in the actual case, and obtain the operation safety threshold corresponding to each benchmark keyword in the actual case;
[0085] The duration of each benchmark keyword in the actual case, the degree of completion of each benchmark keyword, and the corresponding operational safety threshold of each benchmark keyword are compared with the duration of the actual case, and then the content proportion of each benchmark keyword in the actual case is obtained, and the expression is:
[0086]
[0087] In the formula, R i represents the content proportion of the i-th benchmark keyword, t i represents the duration of the occurrence of the i-th benchmark keyword, T represents the duration of the actual case, and s i represents the operational safety threshold of the i-th benchmark keyword. The operational safety threshold is obtained by expert evaluation method, using a scale of 1-10. a represents the preset minimum operational safety threshold. Indicates that the operation safety threshold of the i-th benchmark keyword is 0 when it is less than the minimum operation safety threshold. i represents the completion of the i-th benchmark keyword. The completion is obtained by expert evaluation using a 1-10 scale. w represents the preset minimum completion. It means that when the completion degree of the i-th benchmark keyword is less than the minimum completion degree, its value is 0.
[0088] It should be noted that when the content proportion of the benchmark keyword is 0, it means that the benchmark keyword does not correspond to the actual case, and the benchmark keyword is not used to mark the actual case. Otherwise, it can be used.
[0089] Specifically, the methods for obtaining the adaptability of comprehensive information to actual cases include:
[0090] Obtaining the benchmark keyword matching degree between comprehensive information and actual cases and obtaining the learning difficulty matching degree between comprehensive information and actual cases;
[0091] According to the benchmark keyword matching degree and learning difficulty matching degree between the comprehensive information and the actual case, the adaptability between the comprehensive information and the actual case can be obtained, and its expression is:
[0092] SP=W1*K+W2*L;
[0093] Where SP represents the degree of fit between comprehensive information and actual cases, K is the benchmark keyword matching degree between comprehensive information and actual cases, L is the learning difficulty matching degree of actual cases, W1 and W2 are the benchmark keyword matching degree and learning difficulty matching degree between comprehensive information and actual cases, respectively, and the sum of W1 and W2 is 1.
[0094] Specifically, the method for obtaining the benchmark keyword matching degree is as follows:
[0095] K = 2*|A∩B| / (|A|+|B|);
[0096] Where K is the benchmark keyword matching degree, A is the benchmark keyword set of comprehensive information, B is the benchmark keyword set of actual cases, |A∩B| represents the number of elements in the intersection of A and B, |A| and |B| represent the number of elements in sets A and B respectively;
[0097] The learning difficulty matching degree is obtained as follows:
[0098] L=1-|D1-A1|D max ;
[0099] In the formula, D1 is the difficulty level expected by the students, A1 is the difficulty level of the actual case, and Dmax is the maximum difficulty level.
[0100] It should be noted that by establishing an association between benchmark keywords and training content, and using adaptability and combination rules to automatically match the most suitable training content, the efficiency and pertinence of training can be improved.
[0101] Specifically, the methods for obtaining the test corresponding to the training content include:
[0102] Obtain actual cases corresponding to the training content and establish a three-dimensional simulation space for the actual cases;
[0103] A digital twin model corresponding to the actual case is established in the three-dimensional simulation space, and then the test corresponding to the training content is obtained.
[0104] Specifically, the method of calculating the test score of the student according to the preset scoring rules includes:
[0105] Connect the three-dimensional simulation space corresponding to the test with the VR experience device;
[0106] The scoring rule is preset, and the scoring rule is to set h scoring points in the three-dimensional simulation space, each scoring point corresponds to a different score, the order in which each scoring point is triggered corresponds to a different score, and different time intervals between adjacent scoring points correspond to different scores;
[0107] After the students complete the test, all scores are summarized to obtain the student's test score.
[0108] It should be noted that the VR experience device may include a head-mounted display device (HMD): it is the core component of the VR experience device, generally equipped with a high-resolution display and sensors; audio output equipment: such as headphones or speakers, used to provide sound effects that match the three-dimensional simulated space; interactive equipment: such as handles, gloves, etc., enabling users to interact with objects in the three-dimensional simulated space (such as grabbing, moving, etc.); positioning tracking module: used to track the user's position and motion trajectory in the three-dimensional simulated space to ensure that the three-dimensional simulated space is consistent with the user's actual movements.
[0109] In addition, the VR experience device can also include electric shock rescue equipment, electric shock meter, touch-screen all-in-one machine and electricity safety experience system software, which can further popularize basic electrical safety knowledge and temporary electricity use knowledge at construction sites, improve students' safety awareness, master electric shock first aid skills, and reduce electric shock casualties;
[0110] It also includes a VR safety belt high-altitude falling experience. The high-altitude safety belt experience device consists of a safety belt falling platform (including a five-point national standard safety belt), a computer touch-screen all-in-one machine, an integrated VR helmet, and a safety belt falling software. Trainees simulate a high-altitude fall in a high-altitude working scene in a three-dimensional simulated space. Trainees feel suspended in the air by safety belts in both the three-dimensional simulated space and the real world, thereby feeling the protective function of safety belts in high-altitude working, and deeply realizing the importance of wearing safety belts, thus forming the habit of wearing safety belts correctly when working at heights.
[0111] Simulate the experience of heavy objects hitting the helmet at high places. It is driven by pneumatic components and controlled by remote control. Trainees wear the helmet and experience the protective effect of the helmet on the head by heavy objects hitting the helmet, which improves the trainees' awareness of wearing helmets.
[0112] Using a double egg chair and VR headset equipment, trainees can experience production safety accidents in a VR three-dimensional simulation space. The shaking, tilting, and dizziness produced by the egg chair's synchronized somatosensory device can allow them to feel the bloody and terrible nature of safety accidents. By simulating different emergency scenarios, participants can conduct emergency response training in a safe environment to improve their ability to respond to emergencies and safe operation skills.
[0113] Specifically, the method of obtaining the weaknesses of the trainees according to the test scores and retraining the trainees according to the weaknesses until the trainees reach the preset test scores includes:
[0114] Classify the tests and then obtain the test categories. For example, classify the test contents according to the key areas of power plant safety to form different test categories, such as "electrical safety knowledge", "personal protective equipment use", "emergency accident handling" and other test categories;
[0115] Obtain the test scores of the trainees in each test category, subtract the test scores of each test category from the preset test scores of each test category, and arrange the obtained differences in descending order to obtain a test score difference sequence, which can reflect the performance gap of the trainees in various security areas;
[0116] The first m test categories in the test score difference sequence are regarded as the weak points of the trainees, and m can be set by the relevant personnel;
[0117] Obtain the test category of the weak item, and obtain the training content corresponding to the weak item according to the test category of the weak item;
[0118] Obtain the actual cases that match the training content corresponding to the weak points, and use the actual cases corresponding to the weak points to retrain the trainees;
[0119] Repeat the above process until the student reaches the preset test score.
[0120] It should be noted that, for example, if the trainee still performs poorly in “emergency accident handling”, the relevant training content can be matched again and the trainee can be retrained through the relevant training content;
[0121] For example, the trainee obtained the following scores in the following test categories: electrical safety knowledge: 80 points (pre-set target score: 90 points), use of personal protective equipment: 95 points (pre-set target score: 95 points), emergency accident handling: 75 points (pre-set target score: 85 points). Based on the score difference calculation, the following results were obtained: Electrical safety knowledge score difference: 10 points, Personal protective equipment use score difference: 0 points, Emergency accident handling score difference: 10 points. Therefore, electrical safety knowledge and emergency accident handling can be regarded as the trainees' weak points.
[0122] Specifically, the training matching module also includes emergency rescue and occupational disease prevention and control.
[0123] It should be noted that emergency rescue may include six experiential teaching projects, including cardiopulmonary resuscitation experience, trauma dressing experience, Heimlich first aid experience, fire extinguishing experience, fire safety equipment experience, and fire cause simulation test bench; emergency rescue can improve students' first aid skills and safety knowledge, so that they can face challenges more calmly in emergencies and protect their own and others' lives and property safety;
[0124] Occupational disease prevention and control consists of an occupational disease hazard recognition system, a mental health assessment system, and a mind-body feedback therapy chair; occupational disease prevention and control can improve students' awareness of and ability to prevent occupational diseases; the occupational disease hazard recognition system uses multimedia teaching, material presentation, and case analysis to enable students to understand the causes, manifestations, and prevention measures of various occupational diseases, thereby enhancing their own health awareness and safety protection capabilities; the mental health assessment system uses an on-site assessment desk and built-in professional psychological assessment management software to assess and manage students' mental health conditions, making it easier for managers to provide timely psychological counseling and intervention for students; the mind-body feedback therapy chair has massage and music playback functions, which can help users relax.
[0125] In this embodiment, the information collection module is used to comprehensively collect and analyze student information, and keyword extraction and similarity comparison technology are used to achieve accurate matching of training content, thereby ensuring that the training content is highly consistent with the actual needs of the trainees; by establishing an association between benchmark keywords and training content, and using adaptability and combination rules to automatically match the most suitable training content, the training efficiency and pertinence can be improved; by constructing a three-dimensional simulation space, applying digital twin technology, and combining VR experience devices, all-round and immersive testing can be achieved, providing more objective and accurate evaluation results; by accurately identifying trainees' weaknesses and implementing targeted retraining for the weaknesses, continuous improvement of trainees' training results can be ensured.
[0126] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed in the present invention can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.
[0127] In the several embodiments provided by the present invention, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of the units is only one, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.
[0128] The above description is only a specific implementation mode of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.
[0129] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.
Claims
1. A power plant operation safety comprehensive training risk management and control system, characterized in that: include: The information collection module collects and processes the information of the students, and then obtains the comprehensive information of the students; The training matching module presets combination rules and matches the corresponding training content for trainees based on the combination rules and comprehensive information; The test scoring module obtains the test corresponding to the training content and calculates the test score of the trainees according to the preset scoring rules; The inspection and improvement module obtains the trainees’ weaknesses based on the test scores, and retrains the trainees based on the weaknesses until the trainees reach the preset test scores.
2. A power plant operation safety comprehensive training risk management and control system according to claim 1, characterized in that: The method of collecting and processing the information of the students to obtain the comprehensive information of the students includes: Formulate an information form, in which the trainee enters his / her occupational information, personal information and work environment information, wherein the occupational information, personal information and work environment information are all the trainee's information; Extract keywords from the students' professional information, personal information, and work environment information to obtain personal keywords, professional keywords, and environmental keywords; The personal keywords, occupational keywords and environmental keywords are respectively compared with the preset benchmark personal keywords, benchmark occupational keywords and benchmark environmental keywords for similarity, wherein the benchmark personal keywords, benchmark occupational keywords and benchmark environmental keywords are all benchmark keywords; The top n benchmark personal keywords, benchmark occupational keywords, and benchmark environmental keywords with the highest similarity are summarized to obtain comprehensive information about the students.
3. A power plant operation safety comprehensive training risk management and control system according to claim 2, characterized in that: The preset combination rule, and the method of matching corresponding training content for trainees according to the combination rule and comprehensive information, include: Set the training content corresponding to each benchmark keyword, and associate each benchmark keyword with the corresponding training content; Collect actual cases, extract benchmark keywords corresponding to the actual cases, and associate the actual cases with the corresponding benchmark keywords; Obtaining the content proportion of each benchmark keyword in the actual case, and arranging the benchmark keywords of the actual case in descending order according to the content proportion, thereby obtaining a benchmark keyword sequence of the actual case; Preset combination rules, the combination rules are the training time corresponding to each benchmark keyword, the minimum percentage of each benchmark keyword in the training content, and the maximum training time not exceeding the trainee; The degree of compatibility between comprehensive information and actual cases is obtained, and multiple actual cases that reach the preset degree of compatibility threshold and meet the combination rules are used as training content for trainees.
4. A power plant operation safety comprehensive training risk management and control system according to claim 3, characterized in that: The method of obtaining the content proportion of each benchmark keyword in the actual case includes: Obtain the duration of the actual case, obtain the appearance duration of each benchmark keyword in the actual case, obtain the completion degree of each benchmark keyword in the actual case, and obtain the operation safety threshold corresponding to each benchmark keyword in the actual case; The duration of each benchmark keyword in the actual case, the degree of completion of each benchmark keyword, and the corresponding operational safety threshold of each benchmark keyword are compared with the duration of the actual case, and then the content proportion of each benchmark keyword in the actual case is obtained, and the expression is: In the formula, R i represents the content proportion of the i-th benchmark keyword, t i represents the duration of the occurrence of the i-th benchmark keyword, T represents the duration of the actual case, and s i represents the operational safety threshold of the i-th benchmark keyword, a represents the preset minimum operational safety threshold, Indicates that the operation safety threshold of the i-th benchmark keyword is 0 when it is less than the minimum operation safety threshold. i represents the completion degree of the i-th benchmark keyword, w represents the preset minimum completion degree, It means that when the completion degree of the i-th benchmark keyword is less than the minimum completion degree, its value is 0.
5. A power plant operation safety comprehensive training risk management and control system according to claim 4, characterized in that: The method of obtaining the degree of compatibility between the comprehensive information and the actual case includes: Obtaining the benchmark keyword matching degree between comprehensive information and actual cases and obtaining the learning difficulty matching degree between comprehensive information and actual cases; According to the benchmark keyword matching degree and learning difficulty matching degree between the comprehensive information and the actual case, the adaptability between the comprehensive information and the actual case can be obtained, and its expression is: SP=W1*K+W2*L; Where SP represents the degree of fit between comprehensive information and actual cases, K is the benchmark keyword matching degree between comprehensive information and actual cases, L is the learning difficulty matching degree of actual cases, W1 and W2 are the benchmark keyword matching degree and learning difficulty matching degree between comprehensive information and actual cases, respectively, and the sum of W1 and W2 is 1.
6. A power plant operation safety comprehensive training risk management and control system according to claim 5, characterized in that: The method for obtaining the benchmark keyword matching degree is as follows: K = 2*|A∩B| / (|A|+|B|); Where K is the benchmark keyword matching degree, A is the benchmark keyword set of comprehensive information, B is the benchmark keyword set of actual cases, |A∩B| represents the number of elements in the intersection of A and B, |A| and |B| represent the number of elements in sets A and B respectively; The learning difficulty matching degree is obtained in the following manner: L=1-|D1-A1|D max ; In the formula, D1 is the difficulty level expected by the students, A1 is the difficulty level of the actual case, and Dmax is the maximum difficulty level.
7. A power plant operation safety comprehensive training risk management and control system according to claim 3, characterized in that: The method of obtaining the test corresponding to the training content includes: Obtain actual cases corresponding to the training content and establish a three-dimensional simulation space for the actual cases; A digital twin model corresponding to the actual case is established in the three-dimensional simulation space, and then the test corresponding to the training content is obtained.
8. A power plant operation safety comprehensive training risk management and control system according to claim 7, characterized in that: The method of calculating the test score of the student according to the preset scoring rules includes: Connect the three-dimensional simulation space corresponding to the test with the VR experience device; The scoring rule is preset, and the scoring rule is to set h scoring points in the three-dimensional simulation space, each scoring point corresponds to a different score, the order in which each scoring point is triggered corresponds to a different score, and different time intervals between adjacent scoring points correspond to different scores; After the students complete the test, all scores are summarized to obtain the student's test score.
9. A power plant operation safety comprehensive training risk management and control system according to claim 8, characterized in that: The method of obtaining the weaknesses of the trainee according to the test score and retraining the trainee according to the weaknesses until the trainee reaches the preset test score includes: Classify the tests to obtain the test categories of the tests; Obtain the test scores of the students in each test category, subtract the test scores of each test category from the preset test scores of each test category, and arrange the obtained differences in descending order to obtain a test score difference sequence; The first m test categories in the test score difference sequence are regarded as the weak points of the students; Obtain the test category of the weak item, and obtain the training content corresponding to the weak item according to the test category of the weak item; Obtain the actual cases that match the training content corresponding to the weak points, and use the actual cases corresponding to the weak points to retrain the trainees; Repeat the above process until the student reaches the preset test score.
10. A power plant operation safety comprehensive training risk management and control system according to claim 1, characterized in that: The training matching module also includes emergency rescue and occupational disease prevention and treatment.