Budget management integrated operation and maintenance monitoring method and device

Abstract

The invention provides a budget management integrated operation and maintenance monitoring method and device, and the method comprises the steps: obtaining set data at regular intervals, converting the set data according to a set format, and obtaining the needed data; processing the data to obtain processed data; through the current week, the current month, the current year and different time dimensions, the telephone work order is modeled by using a broken line graph and a histogram, and the trend of the future telephone work order is predicted and displayed; the processed data are displayed for management personnel to carry out operation and maintenance report and analysis; data of all subsystems can be integrated, and key indexes are displayed through a highly visual interface, so that the decision-making efficiency and the overall operation and maintenance management level of the system are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of data monitoring, and in particular to a budget management integrated operation and maintenance monitoring method and device. Background Art

[0002] Traditional operation and maintenance monitoring methods usually face many challenges, such as inconsistent data caused by scattered information, slow response speed affecting the timeliness of problem solving, and low visualization making problem location less intuitive. These factors make it difficult to meet the needs of modern financial management for efficient, real-time and intuitive operation and maintenance monitoring. Therefore, it is urgent to build an advanced operation and maintenance monitoring system.

[0003] There are some obvious deficiencies in existing technologies, which affect the overall effectiveness of the system and the quality of management decisions. Specifically, they include the following aspects:

[0004] Disadvantage 1: Decentralized system

[0005] The integrated budget management system consists of multiple independent subsystems, including but not limited to modules such as budget preparation, execution, accounting, and asset management. This structure easily forms "data islands", resulting in weak correlation between data and difficulty in achieving effective data integration and unified management. In addition, the poor information exchange between different subsystems increases the difficulty of data synchronization and reduces the operation and maintenance efficiency of the entire system.

[0006] Technical architecture limitations: Early designs may not fully consider future integration requirements, making it difficult to achieve seamless integration between subsystems.

[0007] Different data standards: Each subsystem may use different data formats and standards, which increases the complexity of data exchange and integration.

[0008] Organizational structure barriers: There may be communication barriers between departments within the organization, which hinders cross-departmental information sharing.

[0009] Disadvantage 2: Insufficient monitoring visualization

[0010] Traditional monitoring methods mainly rely on text reports or simple chart displays, lacking a centralized, intuitive monitoring screen system to display key indicators. This approach not only fails to provide a comprehensive perspective, but also makes it difficult for management to quickly understand the system operation status, especially when faced with large amounts of data.

[0011] Technical limitations: Existing monitoring tools may not provide enough visualization options, or these options may be too complex to meet the needs of non-technical users.

[0012] Poor user experience: The user interface design may not be friendly enough, making operation inconvenient and reducing users' willingness to use it.

[0013] Limited data processing capabilities: Lack of strong data analysis and processing capabilities makes it difficult to convert massive amounts of data into an understandable form.

[0014] Disadvantage 3: Insufficient decision support

[0015] Due to the lack of an intuitive and comprehensive visual monitoring screen, management is unable to quickly obtain key indicators, which in turn affects the quality and efficiency of decision-making. In this case, decision makers may need to spend more time collecting information, which may lead to a slow and inaccurate decision-making process.

[0016] Difficulty accessing data: Management may not be able to easily access the real-time data they need, resulting in insufficient basis for decision making.

[0017] Information overload: Although there is a large amount of data available for reference, there is a lack of effective tools to help filter and present the most important information.

[0018] Lack of feedback mechanism: The system may not have an effective feedback mechanism so that management can adjust strategies or resource allocation in a timely manner. Summary of the invention

[0019] The technical problem to be solved by the present invention is to provide a budget management integrated operation and maintenance monitoring method and device, which can integrate the data of all subsystems and display key indicators through a highly visual interface, thereby improving decision-making efficiency and the overall operation and maintenance management level of the system.

[0020] In a first aspect, the present invention provides a budget management integrated operation and maintenance monitoring method, comprising:

[0021] Step 1: regularly obtain setting data, convert the setting data into a setting format, and obtain the required data;

[0022] Step 2: Process the data to obtain processed data;

[0023] The unit work order is: T1 is the total number of work orders within the first threshold time, UAi represents the number of operation and maintenance work orders of the i-th unit within the first threshold time, PAi represents the number of telephone work orders of the i-th unit within the first threshold time, and n is the number of units; TA represents the sum of the number of operation and maintenance work orders UAi and the number of telephone work orders PAi from the first unit to the n-th unit;

[0024] The zoning work order is: DBj represents the sum of the work orders UBij of all units i under the jth division;

[0025] The total number of large screen work orders is: TB represents the sum of the total number of work orders DBj in j zones;

[0026] The data of the telephone ticket is: Here Rj represents the connection rate of the jth zone, Sj represents the number of successful incoming calls in the zone on the same day, and Tj represents the total number of incoming calls in the zone;

[0027] The total information change statistics are: TC is the total number of information changes within the second threshold time, UCi represents the number of user information changes within the second threshold time, PCi represents the number of certificate information changes within the second threshold time, and QCi represents the number of unit information changes within the second threshold time;

[0028] Step 3: Use line charts and bar charts to model telephone work orders in different time dimensions such as this week, this month, and this year, predict future trends in telephone work orders, and display them; display the processed data for management personnel to conduct operation and maintenance reports and analysis.

[0029] In a second aspect, the present invention provides a budget management integrated operation and maintenance monitoring device, comprising:

[0030] The data acquisition module acquires the set data regularly, converts the set data into the set format, and obtains the required data;

[0031] A data processing module processes the data and obtains the processed data;

[0032] The unit work order is: T1 is the total number of work orders within the first threshold time, UAi represents the number of operation and maintenance work orders of the i-th unit within the first threshold time, PAi represents the number of telephone work orders of the i-th unit within the first threshold time, and n is the number of units; TA represents the sum of the number of operation and maintenance work orders UAi and the number of telephone work orders PAi from the first unit to the n-th unit;

[0033] The zoning work order is: DBj represents the sum of the work orders UBij of all units i under the jth division;

[0034] The total number of large screen work orders is: TB represents the sum of the total number of work orders DBj in j zones;

[0035] The data of the telephone ticket is: Here Rj represents the connection rate of the jth zone, Sj represents the number of successful incoming calls in the zone on the same day, and Tj represents the total number of incoming calls in the zone;

[0036] The total information change statistics are: TC is the total number of information changes within the second threshold time, UCi represents the number of user information changes within the second threshold time, PCi represents the number of certificate information changes within the second threshold time, and QCi represents the number of unit information changes within the second threshold time;

[0037] The monitoring and display module uses line charts and bar charts to model telephone work orders in different time dimensions such as this week, this month, and this year, predicts the trend of future telephone work orders, and displays them; the processed data is displayed for management personnel to make operation and maintenance reports and analysis.

[0038] One or more technical solutions provided in the embodiments of the present invention have at least the following technical effects or advantages:

[0039] Improve operation and maintenance efficiency: Through a unified monitoring platform, the service satisfaction of operation and maintenance personnel, the number of operation and maintenance work orders, etc. are supervised to improve operation and maintenance efficiency and quality.

[0040] Enhanced decision support: The visual monitoring screen provides an intuitive and comprehensive display of system operation status, helping management to quickly obtain key indicators and make accurate decisions.

[0041] Improve resource utilization: Through centralized management and monitoring, reduce resource duplication, improve resource utilization, and reduce operation and maintenance costs.

[0042] 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

[0043] The present invention will be further described below in conjunction with embodiments with reference to the accompanying drawings.

[0044] Figure 1 is a flow chart of the method in Embodiment 1 of the present invention;

[0045] Figure 2 It is a schematic diagram of the structure of the device in the second embodiment of the present invention. DETAILED DESCRIPTION

[0046] The embodiments of the present application provide a method, an apparatus, a system, a device and a medium.

[0047] Detailed explanation of the relevant concepts in this article:

[0048] Unit: The units referred to in this article, except for mathematical units, generally refer to administrative institutions. Administrative institutions refer to institutions with administrative management functions, which perform law enforcement supervision and some social management functions. This type of unit includes two types: administrative units and institutions. This article uniformly describes them as "units".

[0049] Regionalization: refers to the internal administrative division of a country or region. This division is for the convenience of management and governance, and usually forms a hierarchical structure from the highest level unit (such as the country) to the most basic unit (such as the village, community).

[0050] Operation and maintenance work order: refers to the log operation and maintenance module in the integrated budget management system, which retains and records the data on issues raised by users during their daily use of the system.

[0051] Telephone work order: A telephone call record in which a user makes a call to a designated system operation and maintenance personnel via a landline or mobile phone to raise a question.

[0052] Total work orders: refers to the sum of operation and maintenance work orders and telephone work orders.

[0053] Unit information changes: Unit information changes refer to the information records retained by administrative and public institutions due to changes in the nature, name, ownership, legal person, corresponding departments, etc. of the unit.

[0054] Certificate information change: refers to changes in the signature style, usage regulations or management methods of an organization or unit.

[0055] User information changes: refers to information changes that occur to users of the integrated budget management platform, such as changes in basic elements such as user name and contact information.

[0056] Total information changes: Information changes refer to the sum of unit information changes, certificate information changes, and user information changes.

[0057] Payment data: refers to the payment data generated by the centralized treasury payment module. Centralized treasury payment is a payment method under the modern financial management system. It refers to the government finance department integrating all financial expenditures into the treasury single account system for management, and paying funds directly to the beneficiary through the treasury single account. This method has changed the traditional decentralized payment model and realized the centralization, standardization and transparency of financial funds payment. In this article, it is uniformly described as payment data.

[0058] 1. Data source integration:

[0059] The data sources of the monitoring screen include the integrated platform, the centralized treasury payment system, and the log operation and maintenance management system database, covering the basic information and login logs of platform users and units, the number and amount of financial transactions paid by the treasury, and the total work orders and change records of the operation and maintenance system, ensuring that data in all key business areas are included in the monitoring scope.

[0060] 2. Data extraction and processing:

[0061] The data extraction strategy mainly involves the classification and aggregation of data by formulating predefined rules and algorithms, and statistically summarizing data according to different types of dimensions to generate high-level statistical information and indicator data, such as the total work order satisfaction rate, the number of transactions, etc., to empower management decisions. In the processing of total work order data, the following algorithms are mainly included: unit work order algorithm, zoning work order algorithm, and large-screen work order total algorithm. The results of these algorithms together constitute the large-screen work order data. The formula for the unit work order algorithm is: T is the total number of work orders in a period of time, including processed and unprocessed ones. UAi represents the number of operation and maintenance work orders of the i-th unit during this period. PAi represents the number of telephone work orders of the i-th unit during this period. n is the number of units. This summary data is used as the source of zoning work order data so that decision makers can easily know the quality and efficiency of the overall operation and maintenance work within a specified time. This formula represents the sum of the number of operation and maintenance work orders Ui and the number of telephone work orders Pi from the first unit to the n-th unit. The algorithm formula for zoning work orders is: Here, the ∑ symbol represents the sum of all work orders Uij of unit i under the jth division, which is used as the source of statistical data of the large screen center map. The algorithm formula for the total number of work orders on the large screen is: The ∑ symbol here represents the sum of the total number of work orders Dj in all zones j, and the total data is used as the data display of the total number of work orders in the large screen center. The work order also includes the data of telephone work orders, and the algorithm formula is: Here, Rj represents the connection rate of the jth zone, Sj represents the number of successful daily incoming calls in the zone (including those transferred to external lines), and Tj represents the total incoming calls in the zone (excluding those transferred to external lines). The connection rate of each zone can be obtained by calculation. In addition, the large screen also displays the change data of the corresponding integrated platform and operation and maintenance system. The statistical algorithm formula for total information change is: TC is the total number of information changes within a period of time. UCi, PCi, and QCi represent three types of total information change statistics, namely: user information, certificate information, and unit information data within a certain period of time. This formula is the sum of all total information change types from the first unit to the nth unit. Its function is to help track the change history and ensure that all changes are correctly recorded and processed. Secondly, the large screen also displays the upgrade and launch data of each subsystem of the integrated platform. The algorithm formula is: T is the number of system upgrades launched within a period of time. UDi, PDi, QDi, and RDi represent the data of each subsystem's various types of system launches (performance optimization, new functions, bug fixes, and improved functions) within a certain period of time. This formula is the sum of the system launch data from the first unit to the nth unit. This constitutes the calculation logic of the large-screen operation and maintenance system, which can reflect the frequency and number of platform system upgrades to check whether the system is running smoothly.

[0062] II. Overview of Data Statistics Technology Solutions and Analysis Strategies

[0063] 1. Data integration and modeling

[0064] In the original technical architecture, the submodules were not well connected, and no standardized format data was formed for other systems to call. In this large screen, a unified data format specification is provided to the outside in advance. According to the view data provided by the outside, including payment data, login data, etc., the view data is centrally processed and the data is classified according to the division. Secondly, the clustering algorithm (K-Means) is used to automatically group the work order data into function improvement, operation type, software failure, permission application, software change, new function requirements, certificate application, software maintenance, and performance requirements to identify the work order type, and the work order processing status is displayed through a 3D pie chart, so that the work order processing efficiency can be checked in time. Through this week, this month, and this year, different time dimensions use line charts and bar charts to model the telephone work orders according to the fiscal division as the x-axis, and the number of incoming calls, the number of calls connected, and the answering rate as the y-axis, and the trend of future telephone work orders is predicted based on the overall line and bar charts. In addition, the large screen optimizes the online management data of each system on the platform, and reasonably uses decision trees to distinguish them by type and display them in multiple dimensions. In order to ensure the timeliness and accuracy of the data, we adopted the Spring Task Scheduler strategy to regularly obtain external data. At the same time, we also implemented the process of data cleaning and automatic tagging to finely classify and display the data by day, week, month and year. This process not only improves the visualization of system access volume, but also enhances the transparency of treasury payment amounts by displaying payment data by total number of payments, number of payments today, total payment amount, payment amount today, and by district on the big screen, thereby ensuring the high reliability and real-time availability of the data. The big screen generally integrates the data of each district according to the timer rotation, and scrolls the work order, unit information changes, and real-time system online data according to the ranking strategy to ensure the comprehensiveness of data display.

[0065] 2. Data analysis and visualization

[0066] In the large-screen data display, the real-time monitoring and dynamic analysis functions integrate diversified data sources through dblink technology, providing the system with an instant status overview and dynamic trend analysis. The large screen first monitors key performance indicators in real time, such as work order processing efficiency, system online frequency, and user login behavior, and displays a variety of charts through Echarts technology to ensure the smooth operation of various business processes. The large screen uses advanced data analysis technology and statistical methods, such as cluster analysis methods, and uses unsupervised learning methods to group the collected data sets into different clusters, so that the data points in the same cluster have high similarity, while the data points between different clusters have low similarity; analyze the data collected by the large screen, and assist with Z-score anomaly detection methods, calculate the degree of deviation between the data point and the mean to determine whether the data point is abnormal, and generate notification messages to prompt abnormal situations, so that decision makers can discover potential risk points in time. Through the automatic update and display of real-time data, the system can timely reflect the latest business status and effectively dispatch and integrate various data resources.

[0067] 3. Data insights and decision support

[0068] The large screen classifies and groups data through in-depth analysis and related summary data algorithms, and combines visualization technology to comprehensively and multi-facetedly display data to help users fully understand the trends and patterns behind the data, and provide decision support to empower managers. Based on data analysis, it provides managers with relevant operation and maintenance reports and insights, including operation and maintenance efficiency evaluation, resource optimization configuration suggestions, user access data information, etc., and intuitively displays the trend of data changes over time through visualization methods such as timeline views, trend line graphs, pie charts, and bar charts.

[0069] It has the following features:

[0070] 1. Centralized display: The key performance indicators (KPIs) of the IT system can be displayed on a unified interface to ensure data consistency and integrity;

[0071] 2. Rapid response: Through real-time monitoring and intelligent early warning mechanisms, immediate response and processing of abnormal events can be achieved to improve problem-solving efficiency;

[0072] 3. Intuitive visualization: Provide a highly visual monitoring interface in the form of charts, dashboards, etc., so that operation and maintenance personnel can quickly identify potential problems and take appropriate measures.

[0073] Such a monitoring solution will greatly improve the work efficiency of the operation and maintenance team, ensure the stable operation of the integrated budget management system, and provide strong support for financial decision-making.

[0074] Embodiment 1

[0075] like Figure 1 As shown, this embodiment provides a budget management integrated operation and maintenance monitoring method, including:

[0076] Step 1: regularly obtain setting data, convert the setting data into a setting format, and obtain the required data;

[0077] Step 2: Process the data to obtain processed data;

[0078] The unit work order is: T1 is the total number of work orders within the first threshold time, UAi represents the number of operation and maintenance work orders of the i-th unit within the first threshold time, PAi represents the number of telephone work orders of the i-th unit within the first threshold time, and n is the number of units; TA represents the sum of the number of operation and maintenance work orders UAi and the number of telephone work orders PAi from the first unit to the n-th unit;

[0079] The zoning work order is: DBj represents the sum of the work orders UBij of all units i under the jth division;

[0080] The total number of large screen work orders is: TB represents the sum of the total number of work orders DBj in j zones;

[0081] The data of the telephone ticket is: Here Rj represents the connection rate of the jth zone, Sj represents the number of successful incoming calls in the zone on the same day, and Tj represents the total number of incoming calls in the zone;

[0082] The total information change statistics are: TC is the total number of information changes within the second threshold time, UCi represents the number of user information changes within the second threshold time, PCi represents the number of certificate information changes within the second threshold time, and QCi represents the number of unit information changes within the second threshold time;

[0083] Step 3: Use line charts and bar charts to model telephone work orders in different time dimensions such as this week, this month, and this year, predict future trends in telephone work orders, and display them; display the processed data for management personnel to conduct operation and maintenance reports and analysis.

[0084] In this embodiment, preferably, the step 1 is specifically as follows: using the Spring Task Scheduler strategy to regularly obtain setting data, and converting it according to the setting format to obtain setting format data, wherein the setting format data includes: total work order data, information change data and payment data; the total work order data includes operation and maintenance work orders, telephone work orders and work order processing status; and the setting format data is cleaned and marked to classify the total work order data, information change data and payment data according to the zones according to the cycles of days, weeks, months and years to obtain the classified data after classification.

[0085] In this embodiment, preferably, the step 3 is specifically as follows: using line charts and bar charts to model telephone work orders in three time dimensions, namely this week, this month, and this year, to predict future trends in telephone work orders and display them; displaying the processed data using Echarts technology for management personnel to conduct operation and maintenance reports and analysis; the display includes a timeline view, a trend line graph, a pie chart, and a bar chart.

[0086] 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.

[0087] Embodiment 2

[0088] like Figure 2 As shown, in this embodiment, a budget management integrated operation and maintenance monitoring device is provided, including:

[0089] The data acquisition module acquires the set data regularly, converts the set data into the set format, and obtains the required data;

[0090] A data processing module processes the data and obtains the processed data;

[0091] The unit work order is: T1 is the total number of work orders within the first threshold time, UAi represents the number of operation and maintenance work orders of the i-th unit within the first threshold time, PAi represents the number of telephone work orders of the i-th unit within the first threshold time, and n is the number of units; TA represents the sum of the number of operation and maintenance work orders UAi and the number of telephone work orders PAi from the first unit to the n-th unit;

[0092] The zoning work order is: DBj represents the sum of the work orders UBij of all units i under the jth division;

[0093] The total number of large screen work orders is: TB represents the sum of the total number of work orders DBj in j zones;

[0094] The data of the telephone ticket is: Here Rj represents the connection rate of the jth zone, Sj represents the number of successful incoming calls in the zone on the same day, and Tj represents the total number of incoming calls in the zone;

[0095] The total information change statistics are: TC is the total number of information changes within the second threshold time, UCi represents the number of user information changes within the second threshold time, PCi represents the number of certificate information changes within the second threshold time, and QCi represents the number of unit information changes within the second threshold time;

[0096] The monitoring and display module uses line charts and bar charts to model telephone work orders in different time dimensions such as this week, this month, and this year, predicts the trend of future telephone work orders, and displays them; the processed data is displayed for management personnel to make operation and maintenance reports and analysis.

[0097] In this embodiment, preferably, the data acquisition module specifically comprises: using the Spring Task Scheduler strategy to regularly acquire set data, and converting it according to the set format to obtain set format data, wherein the set format data includes: total work order data, information change data and payment data; the total work order data includes operation and maintenance work orders, telephone work orders and work order processing status; and the set format data is cleaned and marked to classify the total work order data, information change data and payment data according to the zones according to the cycles of day, week, month and year to obtain the classified data after classification.

[0098] In this embodiment, preferably, the monitoring and display module is specifically as follows: using line graphs and bar graphs to model telephone work orders in three time dimensions, namely this week, this month, and this year, to predict future trends in telephone work orders and display them; displaying the processed data using Echarts technology for management personnel to conduct operation and maintenance reporting and analysis; the display includes a timeline view, a trend line graph, a pie chart, and a bar graph.

[0099] Since 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, those skilled in the art can understand the specific structure and deformation of the device based on the method introduced in the first embodiment of the present invention, so it is not described here in detail. All devices used in the method of the first embodiment of the present invention belong to the scope of protection of the present invention.

[0100] 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 budget management integrated operation and maintenance monitoring method, characterized in that: include: Step 1: regularly obtain setting data, convert the setting data into a setting format, and obtain the required data; Step 2: Process the data to obtain processed data; The unit work order is: T1 is the total number of work orders within the first threshold time, UAi represents the number of operation and maintenance work orders of the i-th unit within the first threshold time, PAi represents the number of telephone work orders of the i-th unit within the first threshold time, and n is the number of units; TA represents the sum of the number of operation and maintenance work orders UAi and the number of telephone work orders PAi from the first unit to the nth unit; The zoning work order is: DBj represents the sum of the work orders UBij of all units i under the jth division; The total number of large screen work orders is: TB represents the sum of the total number of work orders DBj in j zones; The data of the telephone ticket is: Here Rj represents the connection rate of the jth zone, Sj represents the number of successful incoming calls in the zone on the same day, and Tj represents the total number of incoming calls in the zone; The total information change statistics are: TC is the total number of information changes within the second threshold time, UCi represents the number of user information changes within the second threshold time, PCi represents the number of certificate information changes within the second threshold time, and QCi represents the number of unit information changes within the second threshold time; Step 3: Use line charts and bar charts to model telephone work orders in different time dimensions such as this week, this month, and this year, predict future trends in telephone work orders, and display them; display the processed data for management personnel to conduct operation and maintenance reports and analysis.

2. A budget management integrated operation and maintenance monitoring method according to claim 1, characterized in that: The step 1 is specifically as follows: using the Spring Task Scheduler strategy to regularly obtain the set data, and converting it according to the set format to obtain the set format data, wherein the set format data includes: total work order data, information change data and payment data; the total work order data includes operation and maintenance work orders, telephone work orders and work order processing status; and the set format data is cleaned and marked to classify the total work order data, information change data and payment data according to the zones according to the cycles of days, weeks, months and years to obtain the classified data after classification.

3. A budget management integrated operation and maintenance monitoring method according to claim 1, characterized in that: The step 3 is specifically as follows: using line charts and bar charts to model telephone work orders in three time dimensions, namely this week, this month, and this year, to predict the trend of future telephone work orders and display them; displaying the processed data using Echarts technology for management personnel to conduct operation and maintenance reports and analysis; the display includes a timeline view, a trend line graph, a pie chart, and a bar chart.

4. A budget management integrated operation and maintenance monitoring device, characterized in that: include: The data acquisition module acquires the set data regularly, converts the set data into the set format, and obtains the required data; A data processing module processes the data and obtains the processed data; The unit work order is: T1 is the total number of work orders within the first threshold time, UAi represents the number of operation and maintenance work orders of the i-th unit within the first threshold time, PAi represents the number of telephone work orders of the i-th unit within the first threshold time, and n is the number of units; TA represents the sum of the number of operation and maintenance work orders UAi and the number of telephone work orders PAi from the first unit to the nth unit; The zoning work order is: DBj represents the sum of the work orders UBij of all units i under the jth division; The total number of large screen work orders is: TB represents the sum of the total number of work orders DBj in j zones; The data of the telephone ticket is: Here Rj represents the connection rate of the jth zone, Sj represents the number of successful incoming calls in the zone on the same day, and Tj represents the total number of incoming calls in the zone; The total information change statistics are: TC is the total number of information changes within the second threshold time, UCi represents the number of user information changes within the second threshold time, PCi represents the number of certificate information changes within the second threshold time, and QCi represents the number of unit information changes within the second threshold time; The monitoring and display module uses line charts and bar charts to model telephone work orders in different time dimensions such as this week, this month, and this year, predicts the trend of future telephone work orders, and displays them; the processed data is displayed for management personnel to make operation and maintenance reports and analysis.

5. The budget management integrated operation and maintenance monitoring device according to claim 4, characterized in that: The data acquisition module specifically includes: using the Spring Task Scheduler strategy to regularly acquire set data, and converting it according to the set format to obtain set format data, wherein the set format data includes: total work order data, information change data and payment data; the total work order data includes operation and maintenance work orders, telephone work orders and work order processing status; and the set format data is cleaned and marked to classify the total work order data, information change data and payment data according to the zones according to the cycles of days, weeks, months and years to obtain the classified data after classification.

6. The budget management integrated operation and maintenance monitoring device according to claim 4, characterized in that: The monitoring and display module is specifically as follows: using line charts and bar charts to model telephone work orders in three time dimensions, namely this week, this month, and this year, to predict future trends in telephone work orders and display them; displaying the processed data using Echarts technology for management personnel to conduct operation and maintenance reports and analysis; the display includes a timeline view, a trend line graph, a pie chart, and a bar chart.

Images