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 an electric power communication work ticket data model; the model training module 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 data model can learn the mapping relationship between the work content and the security measures; and the prediction output module is used for inputting the vector into the trained data model and outputting predicted field work safety measures. According to the invention, intelligent reporting and efficient execution of the electric power communication work ticket can be realized.

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 communications network acts like a neural network, ensuring the safe operation of the larger power grid. It is the core communications foundation for key operations such as safe production and management information within the power system. It permeates every aspect of the power system, including power generation, transmission, and distribution, ensuring efficient information transmission and interaction, and is an indispensable component of the modern power system.

[0003] In the field of power communications management, power communications work tickets play a crucial role. They serve as essential documentation for carrying out various tasks, including power communications construction, operation and maintenance, and troubleshooting, and are a core component of power communications on-site management. The processes encompassing their generation, approval, execution, and archiving are closely linked to the secure and stable operation of power communications systems.

[0004] With the rapid development of power communication technology and the continued expansion of the power grid, existing power communication work ticket submission processes have exposed numerous shortcomings. At the data level, information such as work location, equipment name, work content, and safety measures exhibit significant inconsistencies. For example, different regions and teams may have different names for the same type of equipment, and work descriptions lack standardized specifications. This can easily lead to misunderstandings and ambiguities during the work ticket circulation process, seriously impacting work efficiency and quality.

[0005] At the same time, traditional work ticket submission is also less than ideal in terms of execution efficiency. Manual filling, paper circulation, and step-by-step approval not only consume significant time and labor costs, but are also prone to delays and loss during information transmission. This inefficient and inaccurate work ticket submission method is no longer adaptable to the increasingly complex management needs of power communications professionals. For example, when responding to emergency fault repair tasks, slow work ticket submission can delay repair work, hindering the rapid recovery of the power communications system and posing a potential threat to the safe and stable operation of the power grid. Therefore, an innovative power communications work ticket data model and intelligent submission method are urgently needed to address these issues and improve the level and efficiency of power communications 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 that are 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 existing technology and propose an electric power communication work ticket data system and an intelligent submission method. By constructing a standardized electric power communication work ticket data model, the intelligent submission and efficient execution of electric power communication work tickets can be achieved.

[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 power communication work ticket data model, which includes a standardized text data model and a work duration data model;

[0012] The model training module 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, to train the data model so that the data 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 when new power communication work content is input to obtain its vector representation; input the vector into the trained data model to output 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 person in charge, work shift personnel, work place, basic information of power communication equipment, work location and equipment name;

[0015] Furthermore, the data collection module is also used to perform text preprocessing on the names of the work leader, work shift members, workplace, and work screen cabinet, extracting the first letters to form feature values for fuzzy indexing;

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

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

[0018] Furthermore, the prediction output module is further configured 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.

[0019] A method for intelligently submitting a power communication work ticket includes the following steps:

[0020] Step 1: The user starts a work ticket in the power communication management system according to work requirements;

[0021] Step 2: You can import a maintenance ticket or defect ticket into the work ticket to extract the maintenance content or pending defect content, or fill in the work ticket manually;

[0022] Step 3: Extract the workstation, location, equipment name, and work content involved in the maintenance ticket or defect order. When manually filling in the information, select the workplace through a fuzzy query using the first letter. After the workplace is determined, the work panel cabinet is automatically limited to a certain range. When selecting a work panel cabinet, a list of panels will pop up by category, allowing multiple selections to be made without the need for separate query or manual entry.

[0023] Step 4: Select standardized work content text through a standardized text data model, and generate corresponding risk points and safety measures based on the work content using the N-gram language model;

[0024] Step 5: Determine working hours based on work content using the working hours data model;

[0025] 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;

[0026] 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;

[0027] 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.

[0028] Advantages and beneficial effects of the present invention:

[0029] 1. The present invention proposes an electric power communication work ticket data system and an intelligent submission method. By constructing a standardized electric power communication 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.

[0030] 2. The electric power communication work ticket data model and intelligent submission method of the present invention can achieve standardized management: by constructing a standardized electric power communication work ticket data model, the standard formats 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

[0031] Figure 1 This is a flowchart of the intelligent submission of the power communication work ticket based on the data system of the present invention;

[0032] Figure 2 This is a flowchart of the intelligent review of the power communication work ticket based on machine learning of the power communication work ticket of the present invention. DETAILED DESCRIPTION

[0033] The embodiments of the present invention are further described below in conjunction with the accompanying drawings:

[0034] A power communication work ticket data system, such as Figure 1 As shown, it includes data collection module, model training module and prediction output module;

[0035] 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 power communication work ticket data model, which includes a standardized text data model and a work duration data model;

[0036] The model training module 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, to train the data model so that the data model can learn the mapping relationship between work content and safety measures;

[0037] The prediction output module is used to perform text preprocessing and feature extraction when new power communication work content is input to obtain its vector representation; the vector is input into the trained data model, and the prediction output module outputs the predicted on-site work safety measures.

[0038] In this embodiment, 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;

[0039] The data collection module is also used to pre-process the text of the names of the work leader, work shift members, workplace, and work screen cabinet, extracting the first letters to form feature values for fuzzy indexing.

[0040] The data collection module is also used to establish a standardized text data model, use the N-gram language model to segment the input power communication work content, and calculate the probability of segmentation to obtain a standardized text data model.

[0041] In this embodiment, the data collection module is also used to establish a data model of work content corresponding to work time.

[0042] In this embodiment, the data collection module is also used to perform text preprocessing on risk points and safety measures based on a standardized text data model using an N-gram language model, statistically analyze the probability of the appearance of work content segmentations corresponding to safety measures segmentations, convert the segmented text into a vector representation, and further map the semantic information in the text into a vector space for encoding to form feature values.

[0043] In this embodiment, the data collection module is also used to collect approval information, execution information and archiving information;

[0044] Among them, the approval information includes: approval personnel, approval time, approval opinions, etc.

[0045] Execution information includes: execution personnel, execution time, execution results, on-site pictures / videos and other multimedia information.

[0046] Archiving information includes: work ticket status (completed, pending, canceled, etc.), archiving time, etc.

[0047] In this embodiment, the prediction output module is further 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.

[0048] An intelligent submission method for power communication work tickets, such as Figure 2 As shown, the following steps are included:

[0049] Step 1: The user starts a work ticket in the power communication management system according to work requirements;

[0050] Step 2: You can import a maintenance ticket or defect ticket into the work ticket to extract the maintenance content or pending defect content, or you can fill in the work ticket manually.

[0051] 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 panel cabinet is automatically limited to a certain range. When selecting a work panel cabinet, a list of panel cabinets will pop up by category, and multiple selections can be made without the need for separate query or manual entry.

[0052] Step 4: Select standardized work content text through a standardized text data model, and use the N-gram language model to generate corresponding risk points and safety measures based on the work content.

[0053] Step 5: Determine working hours based on work content using the working hours data model.

[0054] 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.

[0055] 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.

[0056] 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.

[0057] It should be emphasized that the embodiments described in the present invention are illustrative rather than restrictive. Therefore, the present invention includes but is not limited to the embodiments described in the specific embodiments. Any other embodiments 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: 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 power communication work ticket data model, which includes a standardized text data model and a work duration data model; The model training module 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, to train the data model so that the data 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 when new power communication work content is input to obtain its vector representation; input the vector into the trained data model to output the predicted on-site work safety measures.

2. The power communication work ticket data system according to claim 1, characterized in that: 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, workplace, basic information of power communication equipment, work location and equipment name.

3. 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 the names of the work leader, work shift members, workplace, and work screen cabinet, and extract the first letters to form feature values for fuzzy indexing.

4. The power communication work ticket data system according to claim 1, characterized in that: The data collection module is also used to establish a standardized text data model, use the N-gram language model to perform word segmentation on the input power communication work content, and calculate the probability of word segmentation to obtain a standardized text data model.

5. 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.

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 submission method for power communication work tickets, characterized by: 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 a maintenance ticket or defect ticket into the work ticket to extract the maintenance content or pending defect content, or fill in the work ticket manually; Step 3: Extract the workstation, location, equipment name, and work content involved in the maintenance ticket or defect order. When manually filling in the information, select the workplace through a fuzzy query using the first letter. After the workplace is determined, the work panel cabinet is automatically limited to a certain range. When selecting a work panel cabinet, a list of panels will pop up by category, allowing multiple selections to be made without the need for separate query or manual entry. Step 4: Select standardized work content text through a standardized text data model, and generate 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 using 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 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.

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