Electric power communication work ticket data system and intelligent reporting method

Abstract

The invention relates to a power communication work ticket data system and an intelligent reporting method. The power communication work ticket data system comprises a data collection module, a model training module and a prediction output module. The data collection module is used for collecting a large number of past work ticket contents, forming a training data set and then carrying out text preprocessing to obtain a standardized text data model; the model training is used for training the data model by taking the vector features of the standardized text data model as input and the corresponding security measures as output through a support vector machine, so that the model can learn the mapping relationship between the work content and the security measures; the prediction output module is used for firstly carrying out text preprocessing and feature extraction to obtain a vector representation when a new power communication work content is input; and inputting the vector into the trained model, and outputting predicted field work safety measures by the model. According to the invention, the accuracy and the normalization of the submission of the electric power communication work ticket can be improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of electric power communication management, and relates to a work ticket data system and a reporting method, in particular to an electric power communication work ticket data system and an intelligent reporting method. Background Art

[0002] As the second physical network of the power grid system, the power communication network is like a neural network that ensures the safe operation of the large power grid. It is the core communication foundation for key businesses such as safe production and management information of the power system. It runs through all links of the power system, such as power generation, transmission, and distribution, ensuring the efficient transmission and interaction of information, and is an indispensable and important part of the modern power system.

[0003] In the field of power communication management, the power communication work ticket plays an extremely critical role. It is an important certificate for the construction, operation and maintenance, and troubleshooting of power communication, and is the core link of power communication on-site management. It covers a series of processes such as generation, approval, execution, and archiving, which are closely related to the safe and stable operation of the power communication system.

[0004] With the rapid development of power communication technology and the continuous expansion of the power grid, the existing power communication work ticket submission has exposed many drawbacks. At the data level, information such as work location, equipment name, work content, and safety measures show significant inconsistency. For example, different regions and teams may have different names for the same type of equipment, and the description of the work content lacks standardized specifications, which makes it easy to cause misunderstandings and ambiguities in the circulation of work tickets, seriously affecting work efficiency and quality.

[0005] At the same time, the traditional work ticket submission is not satisfactory in terms of execution efficiency. The mode of manual filling, paper circulation and step-by-step approval not only consumes a lot of time and manpower costs, but is also prone to delays and losses in the process of information transmission. Especially in the face of increasingly complex professional management needs of power communications, this inefficient and low-accuracy work ticket submission method has become difficult to adapt. For example, when responding to emergency fault repair tasks, the slow submission of work tickets may cause delays in repair work, which in turn affects the rapid recovery of the power communication system and poses a potential threat to the safe and stable operation of the power grid. Therefore, there is an urgent need for an innovative power communication work ticket data model and an intelligent submission method to solve these problems and improve the level and efficiency of power communication management.

[0006] Therefore, in order to solve the above problems, the present invention proposes a power communication work ticket data system and an intelligent reporting method.

[0007] After searching, no public documents of the prior art identical or similar to the present invention were found. Summary of the invention

[0008] The purpose of the present invention is to overcome the shortcomings of the prior art and propose an electric power communication work ticket data system and an intelligent submission method, which realizes the intelligent submission and efficient execution of electric power communication work tickets by constructing a standardized electric power communication work ticket data model.

[0009] The present invention solves the practical problem by adopting the following technical solutions:

[0010] An electric power communication work ticket data system includes a data collection module, a model training module and a prediction output module;

[0011] The data collection module is used to collect a large number of past work ticket contents, form a training data set, and then perform text preprocessing to obtain a standardized text data model;

[0012] The model training is used to use a support vector machine to take the vector features of the standardized text data model as input and the corresponding safety measures as output, and train the data model so that the model can learn the mapping relationship between work content and safety measures;

[0013] The prediction output module is used to perform text preprocessing and feature extraction to obtain its vector representation when new power communication work content is input; the vector is input into the trained model, and the model outputs the predicted on-site work safety measures.

[0014] Furthermore, the data collection module is used to collect the contents of a large number of past work tickets, including the following data: planned working time, work responsible person, work shift personnel, work place, basic information of power communication equipment, work location and equipment name;

[0015] The data collection module is also used to pre-process the text of the names of work supervisors, work shift members, workplaces, and work screen cabinets, and to extract the first letters to form feature values ​​for fuzzy indexing.

[0016] The data collection module is also used to establish a standardized work content data model, use the N-gram language model to perform word segmentation on the input power communication work content, count the probability of word segmentation, and obtain a standardized work content data model.

[0017] Furthermore, the data collection module is also used to establish a data model of work content corresponding to work time.

[0018] Moreover, the data collection module is also used to perform text preprocessing on risk points and safety measures using the N-gram language model based on the standardized work content data model, to count the probability of the work content segmentation corresponding to the safety measure segmentation, to convert the segmented text into a vector representation, and further to map the semantic information in the text into the vector space and encode it to form a feature value.

[0019] Furthermore, the data collection module is also used to collect approval information, execution information and filing information;

[0020] Among them, the approval information includes: approval personnel, approval time, approval opinions, etc.

[0021] Execution information includes: execution personnel, execution time, execution results, on-site pictures / videos and other multimedia information.

[0022] Archiving information includes: work ticket status (completed, pending, canceled, etc.), archiving time, etc.

[0023] Furthermore, the prediction output module is also used to set a confidence threshold. If the confidence of the prediction result is lower than the threshold, it will prompt that further manual review and additional safety measures are required.

[0024] An intelligent reporting method comprises the following steps:

[0025] Step 1: The user starts a work ticket in the power communication management system according to work requirements;

[0026] Step 2: You can import maintenance tickets or defect tickets into the work ticket, extract the maintenance content or pending defect content, or fill in the work ticket manually.

[0027] Step 3. Extract the work stations, work locations, equipment names, and work contents involved in the maintenance ticket or defect order; select the workplace through fuzzy query by first letter when filling in manually; after the workplace is determined, the work cabinet will automatically limit the scope. When selecting the work cabinet, a list of cabinets will pop up by category, and multiple selections can be made without separate query or manual entry.

[0028] Step 4: Select standardized work content text through the standardized work content data model, and use the N-gram language model based on the work content to generate corresponding risk points and safety measures.

[0029] Step 5: Determine working hours based on work content through the working hours data model.

[0030] Step 6. The system uses preset rules and algorithms to automatically review the work ticket data, including checks on the access compliance of work shift personnel, data integrity, rationality, and standardization.

[0031] Step 7: The approved power communication work ticket enters the approval process. The system automatically sends the work ticket to the corresponding approver according to the preset approval path. The approver can view the work ticket details in the system and give approval opinions.

[0032] Step 8. The approved work ticket is received and executed by the executor. During the execution process, the executor can record the execution information in the system and upload multimedia information such as on-site pictures / videos; the system tracks the execution progress of the work ticket in real time and automatically archives it after execution is completed.

[0033] Advantages and beneficial effects of the present invention:

[0034] The present invention proposes an electric power communication work ticket data system and an intelligent submission method. By constructing a standardized work ticket data model and combining it with intelligent submission technology, it can improve the accuracy and standardization of electric power communication work ticket submission, improve the efficiency of electric power communication work ticket submission, save work ticket submission time, and help further ensure the safe and reliable operation of the electric power communication system.

[0035] 2. The electric power communication work ticket data model and intelligent submission method of the present invention can realize standardized management: by constructing a standardized electric power communication work ticket data model, the standard format and specifications of various types of data are specified in detail to ensure that the same work content and equipment information can be presented in a unified form under any circumstances. This standardized management ensures the consistency of the data and greatly reduces misunderstandings and erroneous operations caused by data differences. It realizes the standardized management of work tickets, improves the consistency and traceability of data, and lays a solid foundation for the refined operation of electric power communication management. Intelligent submission: Combined with intelligent submission technology, one-click submission, intelligent approval and efficient execution of electric power communication work tickets are realized. The processing flow of electric power communication work tickets has achieved a qualitative leap, greatly improving work efficiency and management level, and providing a new solution for electric power communication work ticket management, which has broad application prospects and important practical value. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 This is a flow chart of intelligent submission of the power communication work ticket based on the data system of the present invention;

[0037] Figure 2 This is a flow chart of the intelligent review of the power communication work ticket based on machine learning for the power communication work ticket of the present invention. DETAILED DESCRIPTION

[0038] The embodiments of the present invention are further described in detail below with reference to the accompanying drawings:

[0039] A power communication work ticket data system, such as Figure 1 As shown, it includes a data collection module, a model training module and a prediction output module;

[0040] The data collection module is used to collect a large number of past work ticket contents, form a training data set, and then perform text preprocessing to obtain a standardized text data model;

[0041] The model training is used to use a support vector machine to take the vector features of the standardized text data model as input and the corresponding safety measures as output, and train the data model so that the model can learn the mapping relationship between work content and safety measures;

[0042] The prediction output module is used to perform text preprocessing and feature extraction to obtain its vector representation when new power communication work content is input; the vector is input into the trained model, and the model outputs the predicted on-site work safety measures.

[0043] In this embodiment, the data collection module is used to collect a large number of past work ticket contents, including the following data: planned working time, work person in charge, work shift personnel, work place, basic information of power communication equipment, work location and equipment name;

[0044] The data collection module is also used to pre-process the text of the names of work supervisors, work shift members, workplaces, and work screen cabinets, and to extract the first letters to form feature values ​​for fuzzy indexing.

[0045] The data collection module is also used to establish a standardized work content data model, use the N-gram language model to perform word segmentation on the input power communication work content, count the probability of word segmentation, and obtain a standardized work content data model.

[0046] In this embodiment, the data collection module is also used to establish a data model of work content corresponding to work time.

[0047] In this embodiment, the data collection module is also used to perform text preprocessing on risk points and safety measures using the N-gram language model based on the standardized work content data model, count the probability of the work content segmentation corresponding to the safety measure segmentation, convert the segmented text into a vector representation, further map the semantic information in the text into the vector space, and encode it to form a feature value.

[0048] In this embodiment, the data collection module is also used to collect approval information, execution information and archiving information;

[0049] Among them, the approval information includes: approval personnel, approval time, approval opinions, etc.

[0050] Execution information includes: execution personnel, execution time, execution results, on-site pictures / videos and other multimedia information.

[0051] Archiving information includes: work ticket status (completed, pending, canceled, etc.), archiving time, etc.

[0052] In this embodiment, the prediction output module is also used to set a confidence threshold. If the confidence of the prediction result is lower than the threshold, it will prompt that further manual review and additional safety measures are required.

[0053] An intelligent reporting method, such as Figure 2 As shown, the following steps are included:

[0054] Step 1: The user starts a work ticket in the power communication management system according to work requirements;

[0055] Step 2: You can import maintenance tickets or defect tickets into the work ticket, extract the maintenance content or pending defect content, or fill in the work ticket manually.

[0056] Step 3. Extract the work stations, work locations, equipment names, and work contents involved in the maintenance ticket or defect order; select the workplace through fuzzy query by first letter when filling in manually; after the workplace is determined, the work cabinet will automatically limit the scope. When selecting the work cabinet, a list of cabinets will pop up by category, and multiple selections can be made without separate query or manual entry.

[0057] Step 4: Select standardized work content text through the standardized work content data model, and use the N-gram language model based on the work content to generate corresponding risk points and safety measures.

[0058] Step 5: Determine working hours based on work content through the working hours data model.

[0059] Step 6. The system uses preset rules and algorithms to automatically review the work ticket data, including checks on the access compliance of work shift personnel, data integrity, rationality, and standardization.

[0060] Step 7: The approved power communication work ticket enters the approval process. The system automatically sends the work ticket to the corresponding approver according to the preset approval path. The approver can view the work ticket details in the system and give approval opinions.

[0061] Step 8. The approved work ticket is received and executed by the executor. During the execution process, the executor can record the execution information in the system and upload multimedia information such as on-site pictures / videos; the system tracks the execution progress of the work ticket in real time and automatically archives it after execution is completed.

[0062] It should be emphasized that the embodiments of the present invention are illustrative rather than restrictive. Therefore, the present invention includes but is not limited to the embodiments described in the specific implementation modes. Any other implementation modes derived by those skilled in the art based on the technical solutions of the present invention also fall within the scope of protection of the present invention.

Claims

1. A power communication work ticket data system, characterized by: It includes data collection module, model training module and prediction output module; The data collection module is used to collect a large number of past work ticket contents, form a training data set, and then perform text preprocessing to obtain a standardized text data model; The model training is used to use a support vector machine to take the vector features of the standardized text data model as input and the corresponding safety measures as output, and train the data model so that the model can learn the mapping relationship between work content and safety measures; The prediction output module is used to perform text preprocessing and feature extraction to obtain its vector representation when new power communication work content is input; the vector is input into the trained model, and the model outputs the predicted on-site work safety measures.

2. A power communication work ticket data system according to claim 1, characterized in that: The data collection module is used to collect the contents of a large number of past work tickets, including the following data: planned working time, work person in charge, work shift personnel, work place, basic information of power communication equipment, work location and equipment name; The data collection module is also used to pre-process the text of the names of the work supervisor, work shift personnel, workplace, and work screen cabinet, extracting the first letters to form feature values ​​for fuzzy indexing; The data collection module is also used to establish a standardized work content data model, use the N-gram language model to perform word segmentation on the input power communication work content, count the probability of word segmentation, and obtain a standardized work content data model.

3. The power communication work ticket data system according to claim 1, characterized in that: The data collection module is also used to establish a data model of work content corresponding to work time.

4. The power communication work ticket data system according to claim 1, characterized in that: The data collection module is also used to perform text preprocessing on risk points and safety measures based on a standardized work content data model using an N-gram language model, to count the probability of work content segmentations corresponding to safety measures segmentations, to convert the segmented text into a vector representation, and to further map the semantic information in the text into a vector space for encoding to form feature values.

5. The power communication work ticket data system according to claim 1, characterized in that: The data collection module is also used to collect approval information, execution information and filing information; Among them, the approval information includes: approval personnel, approval time, approval opinions, etc.; Execution information includes: executors, execution time, execution results, on-site pictures / videos and other multimedia information; Archiving information includes: work ticket status (completed, pending, canceled, etc.), archiving time, etc.

6. The power communication work ticket data system according to claim 1, characterized in that: The prediction output module is also used to set a confidence threshold. If the confidence of the prediction result is lower than the threshold, it will prompt that further manual review and additional safety measures are required.

7. An intelligent reporting method, characterized in that: The following steps are involved: Step 1: The user starts a work ticket in the power communication management system according to work requirements; Step 2: You can import the maintenance ticket or defect sheet into the work ticket, extract the maintenance content or pending defect content, or fill in the work ticket manually; Step 3: Extract the work station, work location, equipment name, and work content involved in the maintenance ticket or defect order; select the workplace through fuzzy query by first letter when filling in manually; after the workplace is determined, the work cabinet will automatically limit the scope. When selecting the work cabinet, the cabinet list will pop up by category, and multiple selections can be made without separate query or manual entry; Step 4: Select the standardized work content text through the standardized work content data model, and generate the corresponding risk points and safety measures based on the work content using the N-gram language model; Step 5: Determine working hours based on work content through the working hours data model; Step 6: The system uses preset rules and algorithms to automatically review the work ticket data, including checks on the access compliance of the work shift personnel, data integrity, rationality, and standardization; Step 7: The approved power communication work ticket enters the approval process. The system automatically sends the work ticket to the corresponding approver according to the preset approval path. The approver can view the work ticket details in the system and give approval opinions; Step 8. The approved work ticket is received and executed by the executor. During the execution process, the executor can record the execution information in the system and upload multimedia information such as on-site pictures / videos; the system tracks the execution progress of the work ticket in real time and automatically archives it after execution is completed.

Images