Operation and maintenance work order management method and device based on budget management integration
By introducing an integrated budget management method in operation and maintenance work order management, the workflow microservices of TF-IDF statistics method and active framework are used to solve the problem of decentralized recording, inefficient tracking and low automation processing in operation and maintenance work order management. The problem of this has achieved efficient operation and maintenance work order management and resource optimization.
Patent Information
- Application Number
- CN202411380749.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-30
- Publication Date
- 2025-02-14
AI Technical Summary
In the prior art, operation and maintenance work order management has problems such as decentralized recording, inefficient tracking and low automation processing, resulting in low operation and maintenance efficiency and waste of resources.
Adopt the operation and maintenance work order management method based on budget management. By obtaining work orders and classifying them according to information, combining TF-IDF statistical method, evaluating priorities and sorting them, using the time scheduling algorithm to allocate work orders, and in the micro The workflow microservices that introduce the active framework into the service architecture, manage work order processes and generate to-do lists.
It realizes centralized management of operation and maintenance work orders, improves the efficiency and transparency of problem handling, optimizes resource allocation and cross-departmental collaboration, and reduces maintenance costs.
Smart Images

Figure CN119444168A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of operation and maintenance work order management, and in particular to an operation and maintenance work order management method and device based on integrated budget management. Background Art
[0002] As a core component of enterprise financial management, the integrated budget management system usually integrates multiple important modules such as budget preparation, execution, accounting, and asset management. These modules will generate a large number of operation and maintenance problems and fault records in daily operation. However, under the existing technical framework, there are the following challenges:
[0003] (1) Dispersed problem recording: When a problem occurs in the system, the operation and maintenance personnel usually need to manually record the problem details and assign the problem to the corresponding team for processing. This decentralized recording method can easily lead to omissions or duplicate recording of problems.
[0004] (2) Inefficient problem tracking: Due to the lack of a unified problem tracking system, operation and maintenance personnel often need to communicate through various means such as email and instant messaging when tracking the progress of problem handling. This is not only inefficient, but may also lead to delays in problem handling due to poor communication.
[0005] (3) Low level of automation: Many O&M tasks still rely on manual operations, such as problem identification and problem classification. This is not only time-consuming and labor-intensive, but also prone to human errors, making it difficult for the O&M team to solve large-scale O&M problems.
[0006] Operation and maintenance issues may be submitted via phone, email, instant messaging tools, or different ticket systems, making the recording and tracking of issues complicated. Due to the lack of a unified management platform, the way and process of handling issues in each module may be different, resulting in inefficient problem solving. The same fault may be recorded multiple times and assigned to different operation and maintenance teams for processing, resulting in a waste of resources. Summary of the invention
[0007] The technical problem to be solved by the present invention is to provide an operation and maintenance work order management method and device based on integrated budget management, thereby improving operation and maintenance efficiency and reducing maintenance costs.
[0008] In a first aspect, the present invention provides an operation and maintenance work order management method based on integrated budget management, comprising the following steps:
[0009] Step 1: Obtain work orders and classify them according to work order information, wherein the work order information includes work order type and priority level;
[0010] Step 2: Combine the TF-IDF statistical method to extract keywords and evaluate them based on priority. Sort the work orders with high priority by overdue time, and use the time scheduling algorithm and keywords to reasonably assign the work orders to the corresponding customer service personnel. At the same time, mark the overdue work orders for work order location;
[0011] Step 3: Introduce secondary encapsulation into the microservice architecture. The workflow microservice based on the activiti framework is used to manage the process of work orders and generate a to-do list to achieve process processing and real-time status tracking. The work order needs to complete all the flows of the work order according to the process until the processing is completed.
[0012] In a second aspect, the present invention provides an operation and maintenance work order management device based on integrated budget management, comprising the following modules:
[0013] A work order acquisition module acquires work orders and classifies them according to work order information, wherein the work order information includes work order type and priority level;
[0014] The work order allocation module uses the TF-IDF statistical method to extract keywords and evaluate them based on priority. It sorts the work orders with high priority according to the overdue time, and uses the time scheduling algorithm and keywords to reasonably allocate the work orders to the corresponding customer service personnel. At the same time, the overdue work orders are marked for work order location.
[0015] The work order monitoring module introduces secondary encapsulation in the microservice architecture. It is a workflow microservice based on the activiti framework, which is used to manage the work order process and generate a to-do list, realize process processing and real-time status tracking; the work order needs to complete all the flow of the work order according to the process until the processing is completed.
[0016] One or more technical solutions provided by the present invention have at least the following technical effects or advantages:
[0017] Centralized management: The present invention can record all operation and maintenance issues on one platform, avoiding problems such as omissions and duplicate records caused by decentralized records.
[0018] Efficient tracking and communication: The built-in problem tracking function of the present invention allows operation and maintenance personnel to clearly see the processing progress, responsible person, processing time and other information of each problem, eliminating the need for inefficient communication through multiple means such as emails and instant messages. This greatly improves the efficiency and transparency of problem handling and reduces delays caused by poor communication.
[0019] Optimize resource allocation: The present invention can automatically or manually adjust resource allocation according to factors such as the urgency of the problem and the scope of impact, ensuring that critical and urgent problems are handled first. This helps to optimize resource utilization efficiency and improve the overall operation and maintenance level.
[0020] Improve cross-departmental collaboration: The present invention can serve as a bridge for cross-departmental collaboration, clarifying the responsibilities and collaboration processes of each department. Through the system, each department can understand the progress of problem handling in real time, coordinate resources, jointly solve problems, and improve collaboration efficiency.
[0021] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention, it can be implemented according to the contents of the specification. In order to make the above and other purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are listed below. BRIEF DESCRIPTION OF THE DRAWINGS
[0022] The present invention will be further described below in conjunction with embodiments with reference to the accompanying drawings.
[0023] Figure 1 is a flow chart of the method in Embodiment 1 of the present invention;
[0024] Figure 2 It is a schematic diagram of the structure of the device in the second embodiment of the present invention. DETAILED DESCRIPTION
[0025] The embodiment of the present application solves the technical problem in the prior art that logs are scattered and cannot be processed centrally by providing an operation and maintenance work order management method and device based on integrated budget management.
[0026] The technical solution in the embodiment of the present application has the following general idea:
[0027] The overall process of operation and maintenance work order operation is mainly divided into five main bodies: operation and maintenance application users, customer service personnel, information center, operation and maintenance team leaders, and operation and maintenance personnel.
[0028] Applicant: As the starting point of the process, the applicant is responsible for filling in the work order information in detail, including but not limited to the work order type, priority level, and any key details that can help quickly locate the problem. In addition, users can upload attachments to enhance the descriptiveness and evidence support of the work order. Before submission, the system automatically generates an early warning time point to ensure that emergencies are responded to in a timely manner. If there is an error in the work order or it is submitted by mistake, the user has the right to withdraw it so that it can be corrected and resubmitted, thereby improving the quality and efficiency of the work order.
[0029] Customer service staff: Customer service staff will make preliminary judgments and classifications based on the urgency and specific content of the work order, and decide whether to handle it directly or transfer it to the information center.
[0030] Information Center: The Information Center will evaluate whether to directly intervene in the work order or further assign it to a specific operation and maintenance team leader based on the actual situation of the work order. In the face of work orders that do not meet the specifications, the Information Center has the right to return them and request additional information; for work orders that have no subsequent value, they will be decisively closed to ensure that resources are not wasted in vain.
[0031] Operation and Maintenance Team Leader: The Operation and Maintenance Team Leader allocates tasks reasonably according to the nature of the work order and the professional skills of the team members to ensure that each work order can be handled in the most professional and efficient way.
[0032] Operation and maintenance personnel: Operation and maintenance personnel are responsible for the specific implementation and completion of various operations listed in the work order according to the warning time. The applicant user can finally make relevant evaluations on the timeliness and enthusiasm of the work order processing.
[0033] The decision tree is used to automatically classify the work orders submitted by users, and the work orders are accurately distinguished according to the work order type, so as to more accurately identify the user's intention and the urgency of the problem, avoiding the problem of repeated work order records and repeated input of operation and maintenance personnel caused by the traditional manual record of work orders. When the user applies for a work order, the TF-IDF statistical method is combined to extract appropriate keywords from the work order information filled in by the user, and the frequency of related words is marked to enhance the effect of keyword extraction, accurately understand the content of the work order filled in by the user, and assist in priority evaluation. The high-priority work orders will be intelligently sorted according to the overdue time, and the time scheduling algorithm will be used to reasonably allocate the work orders to the corresponding customer service personnel to ensure efficient resource utilization and load balancing. At the same time, the system will mark the overdue work orders to facilitate the accurate location of the work orders that have not been processed in time. In the microservice architecture, a secondary encapsulated workflow microservice based on the activiti framework is introduced. By calling the common interface of the workflow, the personalized logic of work order processing is added to the workflow engine mechanism, and the process steps of the work order are systematically managed and a detailed to-do list is generated to achieve automated process processing and real-time status tracking. Secondly, the system uses time strategy analysis to compare application and overdue time, generates intelligent warning messages, and promptly notifies relevant personnel to handle. Work orders are supplemented with workflow operations, and all work order flows are completed in accordance with the step-by-step approval process. Finally, user reviews are collected through a scoring system, and the feedback mechanism is used to rate user reviews and star ratings. Based on user feedback and reviews, the relevant statistical algorithms for word frequency extraction are optimized, thereby improving the overall efficiency of work order processing and service quality.
[0034] Embodiment 1
[0035] like Figure 1 As shown, this embodiment provides an operation and maintenance work order management method based on integrated budget management, comprising the following steps:
[0036] Step 1: Obtain work orders and classify them according to work order information, wherein the work order information includes work order type and priority level;
[0037] Step 2: Combine the TF-IDF statistical method to extract keywords, and evaluate them in combination with the priority. Sort the work orders with high priority according to the overdue time, and use the time scheduling algorithm and keywords to reasonably allocate the work orders to the corresponding customer service personnel. At the same time, mark the overdue work orders for work order positioning; the work order information also includes the application time and the overdue time; compare the application time and the overdue time, generate an early warning message, and notify the relevant personnel to handle it in time;
[0038] Step 3: Introduce secondary encapsulation into the microservice architecture. The workflow microservice based on the activiti framework is used to manage the process of work orders and generate a to-do list to achieve process processing and real-time status tracking. The work order needs to complete all the flow of the work order according to the process until the processing is completed.
[0039] Step 4: Collect user reviews and use feedback mechanisms to continuously optimize allocation strategies and processing procedures.
[0040] Based on the same inventive concept, the present application also provides a device corresponding to the method in Example 1, see Example 2 for details.
[0041] Embodiment 2
[0042] like Figure 2 As shown, in this embodiment, an operation and maintenance work order management device based on integrated budget management is provided, including the following modules:
[0043] A work order acquisition module acquires work orders and classifies them according to work order information, wherein the work order information includes work order type and priority level;
[0044] The work order allocation module uses the TF-IDF statistical method to extract keywords and evaluate them based on priority. It sorts the work orders with high priority according to the overdue time, and uses the time scheduling algorithm and keywords to reasonably allocate the work orders to the corresponding customer service personnel. At the same time, the overdue work orders are marked for work order location. The work order information also includes the application time and the overdue time. By comparing the application time and the overdue time, an early warning message is generated to notify the relevant personnel to handle it in time.
[0045] The work order monitoring module introduces secondary encapsulation in the microservice architecture. It is a workflow microservice based on the activiti framework, which is used to manage the work order process and generate a to-do list, so as to realize process processing and real-time status tracking. The work order needs to complete all the transfers of the work order according to the process until the processing is completed.
[0046] Feedback module collects user comments and uses the feedback mechanism to continuously optimize allocation strategies and processing procedures.
[0047] The device introduced in the second embodiment of the present invention is a device used to implement the method of the first embodiment of the present invention. Therefore, based on the method introduced in the first embodiment of the present invention, the person skilled in the art can understand the specific structure and deformation of the device, so it is not repeated here. All devices used in the method of the first embodiment of the present invention belong to the scope of protection of the present invention.
[0048] Although the specific implementation modes of the present invention are described above, those skilled in the art should understand that the specific implementation modes described are only illustrative and are not intended to limit the scope of the present invention. Equivalent modifications and changes made by those skilled in the art in accordance with the spirit of the present invention should be included in the scope of protection of the claims of the present invention.
Claims
1. A method for operation and maintenance work order management based on integrated budget management, characterized by: The steps include: Step 1: Obtain work orders and classify them according to work order information, wherein the work order information includes work order type and priority level; Step 2: Combine the TF-IDF statistical method to extract keywords and evaluate them based on priority. Sort the work orders with high priority by overdue time, and use the time scheduling algorithm and keywords to reasonably assign the work orders to the corresponding customer service personnel. At the same time, mark the overdue work orders for work order location; Step 3: Introduce secondary encapsulation into the microservice architecture, and use the activiti framework as the basis for workflow microservices to manage the work order process and generate a to-do list, so as to achieve process processing and real-time status tracking; The work order needs to complete all the circulation of the work order according to the process until the processing is completed.
2. According to claim 1, a method for managing operation and maintenance work orders based on integrated budget management, characterized in that: It also includes step 4, collecting user evaluations and using feedback mechanisms to continuously optimize allocation strategies and processing procedures.
3. According to claim 1, a method for managing operation and maintenance work orders based on integrated budget management, characterized in that: The step 2 also includes: the work order information also includes the application time and the overdue time; the application time and the overdue time are compared, an early warning message is generated, and relevant personnel are notified in time to handle it.
4. An operation and maintenance work order management device based on integrated budget management, characterized in that: Includes the following modules: A work order acquisition module acquires work orders and classifies them according to work order information, wherein the work order information includes work order type and priority level; The work order allocation module uses the TF-IDF statistical method to extract keywords and evaluate them based on priority. It sorts the work orders with high priority according to the overdue time, and uses the time scheduling algorithm and keywords to reasonably allocate the work orders to the corresponding customer service personnel. At the same time, the overdue work orders are marked for work order location. The work order monitoring module introduces secondary encapsulation in the microservice architecture. It is a workflow microservice based on the activiti framework, which is used to manage the work order process and generate a to-do list, so as to realize process processing and real-time status tracking. The work order needs to complete all the circulation of the work order according to the process until the processing is completed.
5. According to claim 4, an operation and maintenance work order management device based on integrated budget management is characterized in that: It also includes a feedback module to collect user evaluations and use the feedback mechanism to continuously optimize allocation strategies and processing procedures.
6. According to claim 4, an operation and maintenance work order management device based on integrated budget management is characterized in that: The work order allocation module also includes: the work order information also includes application time and overdue time; compare the application time and overdue time, generate an early warning message, and promptly notify relevant personnel to handle it.
Citation Information
Cited By
Work order audit full-process traceability management system based on big data
CN120297910A