A system, method, device and storage medium for improving operation reliability of a unit based on operation reliability score

Abstract

This invention discloses a system, method, equipment, and storage medium for improving the operational reliability of generating units based on operational reliability scoring. It relates to the field of thermal power unit operation monitoring and management technology. The system includes a first overview area located at the top center of the interface, displaying the overall unit score and a summary of specialized scores. The overall score is presented in a tree structure at the company, plant, and unit levels. Real-time data updates highlight operational reliability, equipment health, and economic indicators, and multi-level scoring is achieved using AI models and digital twin technology. A second data processing area is located on the left, providing updated overall scores after processing and supporting a third early warning and optimization area. The third early warning and optimization area is located on the right, displaying minor error deductions, abnormal deductions, and economic deductions, and generating suggestions for optimal operating conditions, economic optimization, and fault warnings. An interface switching controller synchronously drives the display of each area. The system described in this invention provides real-time scoring and multi-dimensional early warnings, enabling refined management of the generating units.

Description

Technical Field

[0001] This invention relates to the field of thermal power unit operation monitoring and management technology, specifically to a system, method, equipment, and storage medium for improving unit operation reliability based on operation reliability scoring. Background Technology

[0002] In the operation and management of modern coal-fired power units, the comprehensive evaluation of unit operating status, equipment health, and economic indicators has gradually become the focus of research and application. With the development of distributed sensor technology, data acquisition systems, and Internet of Things platforms, key operating parameters of the unit can be collected in real time, including temperature, pressure, current, voltage, and load, supporting multi-dimensional status monitoring of the unit. The introduction of big data analysis methods and machine learning technology has provided new tools for operation data processing, anomaly detection, and trend analysis, enabling complex time-series data to be used for operation status assessment and prediction.

[0003] The development of digital twin technology enables synchronous mapping between physical units and virtual models. By simulating different operating conditions and parameter changes, a global state model of unit operation can be constructed. Multi-level scoring systems have been gradually proposed in the research, used for hierarchical evaluation from the overall unit to specialized systems and then to individual equipment. This allows for structured analysis of operational reliability and economic indicators. The design of visual interfaces and real-time monitoring platforms provides operators with parameter displays, trend analysis, and alarm prompts, facilitating rapid perception and judgment of unit operation status. Existing methods typically focus on monitoring and evaluating a single system or a single dimension, lacking a comprehensive interface system capable of simultaneously processing multi-source data, real-time updates, and supporting interactive analysis. This makes it difficult to meet the needs of complex unit operation status monitoring and multi-dimensional management.

[0004] Existing operational status evaluation and early warning technologies still have limitations in data processing, model application, and interface presentation. Multi-source data is often scattered across different systems or databases, making real-time acquisition and standardized processing difficult, affecting the accuracy and timeliness of monitoring data. Scoring and early warning mechanisms often rely on fixed thresholds or historical experience, lacking dynamic calculation and multi-dimensional analysis capabilities based on real-time operational status, thus failing to achieve refined quantification of operational status. Interface visualization is often limited to static reports or single-indicator displays, lacking cross-system linkage and operational interaction, making it difficult to support data analysis and decision-making in complex operating environments. Economic indicator analysis methods mostly remain at the level of total calculation or simple comparison, lacking the ability to decompose, correlate, and quantify the contribution of core indicators, limiting the precision and targeting of economic management. These technical characteristics indicate that the monitoring and economic analysis of coal-fired unit operational status still requires research and practical exploration in areas such as multi-dimensional data integration, real-time processing, multi-level scoring, and interactive interfaces to meet the comprehensive requirements for unit reliability and operational management. Summary of the Invention

[0005] In view of the above-mentioned problems, the present invention is proposed.

[0006] Therefore, the technical problem solved by this invention is that the existing coal-fired power unit operation status monitoring and scoring system has problems such as scattered data collection, insufficient real-time performance, inability to integrate cross-system information, low accuracy in evaluating operational reliability and economic efficiency, and lack of multi-level scoring, closed-loop early warning and interactive interface, making it difficult to achieve real-time monitoring, refined evaluation and dynamic optimization management of the unit's full-dimensional operation status.

[0007] To address the aforementioned technical problems, this invention provides the following technical solution: a system for improving unit operational reliability based on operational reliability scoring, comprising a first overview area, located at the top center of the interface, used to display the total and specialized scores of the company level, plant level, and unit level in a tree structure, and displaying trend information corresponding to the selected scoring node; a third early warning and optimization area, located on the right side of the interface, dynamically displaying minor error deductions, abnormal deductions, and economic deduction information, and combining digital twin models and artificial intelligence algorithms to generate real-time operating condition optimization, economic optimization suggestions, and fault early warning information; and an interface switching controller, used to switch between the overview interface, The system scoring interface and the strategy execution interface maintain the same interaction context. When receiving a single operation instruction for a scoring node, deduction item, warning item, or timeline, the unit identifier, system identifier, time range, and current interface status are synchronously distributed to the first overview area, the second data processing area, and the third warning optimization area. This enables the first overview area to perform drill-down or backtracking display, the second data processing area to retrieve the corresponding data, and the third warning optimization area to update the corresponding deduction results and optimization suggestions. At least two areas that have not been directly operated on are refreshed on the current page or the corresponding interface is automatically located after page switching.

[0008] As a preferred embodiment of the system for improving unit operational reliability based on operational reliability scoring as described in this invention, the system comprises: a first overview area including a trend chart, a historical data comparison chart, and a scoring node display unit; a second data processing area providing processed data to the first overview area for updating the overall score and specialized scores, while simultaneously providing basic data for the third early warning optimization area; displaying the changing trends of unit operating status, equipment health, and economic scores based on the trend chart and the comparison chart to quickly identify anomalies and key score fluctuations; when the user selects a target time point or target time period in the trend chart or historical data comparison chart, the interface switching controller generates a time traceability instruction, which, while maintaining the current selected scoring node, drives the second data processing area to retrieve the corresponding time period's operational data, and drives the third early warning optimization area to update the corresponding time period's deduction information, early warning information, and optimization suggestions, thereby forming a linked traceability analysis in the time dimension.

[0009] As a preferred embodiment of the system for improving unit operational reliability based on operational reliability scoring as described in this invention, the second data processing area includes an edge computing module, which performs real-time noise reduction, filtering, and standardization processing on the collected multi-source data, and transmits it to the first overview area and the third early warning optimization area through a unified interface; the second data processing area is also used to display data acquisition status, historical sampling records, and anomaly indicators. After receiving the unit identifier, system identifier, or time period information sent by the interface switching controller, it filters the corresponding operational data and sends it to the first overview area and the third early warning optimization area.

[0010] As a preferred embodiment of the system for improving unit operational reliability based on operational reliability scoring as described in this invention, the third early warning optimization area includes: a parameter deviation early warning model, an equipment operation anomaly early warning model, and an economic early warning model; receiving data provided by the second data processing area; the parameter deviation early warning model is used to generate parameter deviation early warning information based on the deviation between the current parameter value and the safety threshold; the equipment operation anomaly early warning model is used to perform joint analysis on each parameter and generate equipment operation anomaly early warning information; the economic early warning model is used to calculate the corresponding minor error deduction and anomaly deduction based on the early warning level and parameter deviation value; and receiving user suggestions for optimization. The system provides policy adjustment instructions or abnormal event marking instructions for fault warning information. When a user selects any deduction item or fault warning information in the third warning optimization area, the interface switching controller executes reverse positioning rules, drives the first overview area to automatically highlight the scoring node corresponding to the selected deduction item or fault warning information, drives the second data processing area to retrieve the source data and corresponding time segment that generated the deduction item or fault warning information, and drives the third warning optimization area to expand the working condition optimization suggestions, economic optimization suggestions, or fault handling suggestions associated with the deduction item or fault warning information, extending the interaction path directly from problem discovery to problem location, suggestion output, and execution processing.

[0011] As a preferred embodiment of the system for improving unit operational reliability based on operational reliability scoring as described in this invention, the interface switching controller is used to record the current interaction context; the interaction context includes at least one of the selected scoring node, selected deduction item, and selected target time point or target time period; the interface switching controller is used to record the selected scoring node, selected deduction item, selected warning item, selected target time point or target time period, and source interface identifier; when the interface switches from the overview interface to the system scoring interface or strategy execution interface, the interface switching controller synchronizes the content in the interaction context to the target interface, so that the target interface automatically focuses on the display position corresponding to the interaction context, while maintaining the original expansion level, filtering conditions, and time range unchanged.

[0012] As a preferred embodiment of the system for improving unit operational reliability based on operational reliability scoring as described in this invention, the overview interface is a simultaneous interactive interface, with the first overview area, the second data processing area, and the third early warning optimization area displayed simultaneously on the same display page; when any area receives a user selection instruction, the interface switching controller synchronously refreshes the display content of at least the other two areas on the current display page, without needing to jump to separate independent pages for simultaneous interactive page interaction; a modular grid design is adopted, with blue titles and white content blocks displayed in layers, and the first to third core areas and the interface switching controller are linked in real time for data and operations through interface interaction logic.

[0013] As a preferred embodiment of the system for improving unit operational reliability based on operational reliability scoring as described in this invention, the following features are provided: A dynamic weight allocation algorithm automatically adjusts the scoring weights of the professional and system layers according to the actual operating status of the unit, performing a refined evaluation of the overall operational status. This evaluation interacts with the first to third core areas and the interface switching controller, enabling real-time synchronous display and feedback of scoring results, warning information, and optimization suggestions. The first overview area updates and displays the total score and professional score according to the adjusted scoring weights. The third warning and optimization area updates and displays the corresponding deduction results, warning information, and optimization suggestions according to the adjusted scoring weights. When a user selects any scoring node in the first overview area, the interface switching controller synchronously drives the first overview area to display the lower-level scoring information corresponding to the selected scoring node, drives the second data processing area to load the operating parameters, historical sampling records, and anomaly identifiers corresponding to the selected scoring node, and drives the third warning and optimization area to display the deduction items, warning items, and optimization suggestions associated with the selected scoring node. When switching from the overview interface to the system scoring interface, the interface switching controller automatically positions the system scoring interface to the detailed module corresponding to the selected scoring node, so that the same interactive action triggers multi-area linkage, enabling non-isolated page transitions.

[0014] Another objective of this invention is to provide a method for improving unit operating reliability based on operational reliability scoring. This method can collect, preprocess, and standardize multi-source real-time data from the unit, related fields, and systems, and combine it with a multi-level scoring system, parameter deviation warning, economic warning, and dynamic weight allocation to achieve a refined and quantitative assessment of unit operating status, equipment health, and economic indicators. This solves the problems of data dispersion, low scoring accuracy, and lack of closed-loop warning and interactive operation in the prior art.

[0015] As a preferred embodiment of the method for improving unit operational reliability based on operational reliability scoring as described in this invention, the method includes: displaying a tree-like scoring node in a first overview area and receiving user selection instructions for scoring nodes or target time points / time periods to generate an interaction context; synchronously driving a second data processing area to filter corresponding real-time data or historical sampling records based on the interaction context through an interface switching controller, and synchronously driving a third early warning optimization area to display corresponding deduction information, early warning information, and optimization suggestions; after receiving user selection instructions for deduction items or fault early warning information in the third early warning optimization area, switching to a strategy execution interface, and synchronously locating the corresponding scoring node in the first overview area, retrieving the corresponding real-time data or historical sampling records in the second data processing area, and displaying the corresponding optimization suggestions in the third early warning optimization area; after receiving user strategy adjustment instructions or abnormal event marking instructions, recalculating the scoring results, deduction results, and optimization suggestions based on a parameter deviation early warning model, an equipment operation abnormality early warning model, an economic early warning model, and a dynamic weight allocation algorithm, and synchronously updating the first overview area, the second data processing area, and the third early warning optimization area.

[0016] Another object of the present invention is to provide a device for improving the operational reliability of a generating unit based on an operational reliability score, comprising a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program as a step in implementing a system for improving the operational reliability of a generating unit based on an operational reliability score.

[0017] Another object of the present invention is to provide a storage medium for improving unit operational reliability based on operational reliability score, wherein a computer program is stored thereon, and when the computer program is executed by a processor, the steps of the system for improving unit operational reliability based on operational reliability score are implemented.

[0018] The beneficial effects of this invention are as follows: The system for improving unit operational reliability based on operational reliability scoring provided by this invention achieves intuitive visualization of multi-level scoring and unit operating status through an overview display step, enabling operators to quickly grasp overall and professional-level operational information; through data acquisition and processing steps, it achieves multi-source real-time data fusion and standardized processing, enabling the system to accurately reflect the current operating status of the unit; through early warning and optimization display steps, it achieves closed-loop scoring, anomaly early warning, and operation condition optimization suggestions, enabling users to promptly detect anomalies and make optimization decisions. This invention achieves better results in operational reliability monitoring, data transparency, decision guidance, cross-system integration, and anomaly identification accuracy. Attached Figure Description

[0019] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0020] Figure 1 This is a simplified overview interface diagram of a system for improving unit operational reliability based on operational reliability scoring, provided in Embodiment 1 of the present invention.

[0021] Figure 2 This is an overview interface diagram of a system for improving unit operating reliability based on operating reliability scoring, provided in Embodiment 1 of the present invention.

[0022] Figure 3 This is a diagram illustrating the drilling and switching process of a scoring node in a system for improving unit operational reliability based on operational reliability scoring, as provided in Embodiment 1 of the present invention.

[0023] Figure 4 This is a reverse positioning jump diagram for deduction items in a system for improving unit operational reliability based on operational reliability scoring, provided in Embodiment 1 of the present invention.

[0024] Figure 5 This is a strategy execution overview and linkage refresh diagram of a system for improving unit operation reliability based on operation reliability score, as provided in Embodiment 1 of the present invention.

[0025] Figure 6 This is an overall flowchart of a method for improving unit operating reliability based on operating reliability scoring, provided in Embodiment 2 of the present invention. Detailed Implementation

[0026] To make the above-mentioned objects, features, and advantages of the present invention more apparent and understandable, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the protection scope of the present invention.

[0027] Example 1, referring to Figure 1-5 As an embodiment of the present invention, a system for improving unit operational reliability based on operational reliability scoring is provided, comprising: The first overview area 100, located at the top center of the interface, is used to display the total score and professional score of the company level, plant level and unit level in a tree structure, and to display the trend information corresponding to the selected score node.

[0028] The third early warning optimization area 300 is located on the right side of the interface. It dynamically displays information on minor error deductions, abnormal deductions, and economic deductions. It combines digital twin models and artificial intelligence algorithms to generate real-time operating condition optimization suggestions, economic optimization suggestions, and fault early warning information.

[0029] The interface switching controller S is used to maintain the same interaction context between the overview interface, the system scoring interface P1, and the strategy execution interface P2. When receiving a single operation command for a scoring node, deduction item, warning item, or time axis, it synchronously distributes the unit identifier, system identifier, time range, and current interface status to the first overview area 100, the second data processing area 200, and the third warning optimization area 300. This enables the first overview area 100 to perform drill-down or backtracking display, the second data processing area 200 to retrieve the corresponding data, and the third warning optimization area 300 to update the corresponding deduction results and optimization suggestions. It also refreshes at least two areas that have not been directly operated on within the current page or automatically locates the corresponding interface position after page switching.

[0030] The first overview area 100 includes trend charts, historical data comparison charts, and scoring node display units.

[0031] The second data processing area 200 is used to provide the processed data to the first overview area 100 for updating the overall score and professional score, while providing basic data for the third early warning optimization area 300.

[0032] Based on the trend chart and comparison chart, the changing trends of unit operating status, equipment health, and economic performance scores are displayed, and anomalies and key score fluctuations are quickly identified. When the user selects a target time point or target time period in the trend chart or historical data comparison chart, the interface switching controller S generates a time traceability command. While maintaining the current score node selection state, it drives the second data processing area 200 to retrieve the operating data of the corresponding time period and drives the third early warning optimization area 300 to update the deduction information, early warning information, and optimization suggestions of the corresponding time period, so as to form a linkage traceability analysis in the time dimension.

[0033] After logging into the interface of this system for improving unit operational reliability based on operational reliability scoring, users first enter the first overview area 100, located at the top center of the interface. In this overview area, users can intuitively view the overall unit score and the scores for each specialty. The overall score is presented in a tree structure, showing the hierarchical relationship between the company level, plant level, and unit level. Through real-time data updates, the overview area highlights the dynamic changes in unit operational reliability, equipment health status, and economic indicators. Users can view the changes in indicators for each specialty and system over time through trend charts and historical data comparison charts, including operational data for key equipment such as boilers, turbines, electrical systems, auxiliary equipment, and flue gas systems, quickly identifying abnormal fluctuations and potential risks. Clicking on a unit or specialty system node automatically drills down the overview area, displaying detailed scores, historical data curves, and sub-indicators for that subsystem, allowing users to freely switch between a macro overview and micro details, comprehensively understanding the unit's operational status.

[0034] like Figure 3 As shown, when a user clicks on a rating node in the overview interface, the interface switching controller S records the current interaction context (selected node, time range, etc.), switches to the system rating interface P1, and automatically locates the corresponding detailed module.

[0035] like Figure 4 As shown, users can select a deduction item or fault warning information on either the system rating interface P1 or the third warning optimization area 300 of the overview interface. The interface switching controller S executes the reverse positioning rule, switches to the strategy execution interface P2, and simultaneously displays the optimization suggestions, source data, and scoring nodes corresponding to the deduction item.

[0036] The first overview area (100) highlights the corresponding scoring nodes, the second data processing area (200) retrieves source data, and the third early warning and optimization area (300) expands optimization suggestions.

[0037] The page switches to the strategy execution interface P2 and automatically focuses on the strategy adjustment panel of the water supply system, realizing a closed loop of "problem discovery → location → suggestion → execution".

[0038] like Figure 5 As shown, after the user executes the optimization strategy in the strategy execution interface P2 (for example, by clicking "Apply Strategy Adjustment"), they can click the "Return to Overview" button or directly click "Overview" in the top navigation bar of the interface.

[0039] The interface switching controller S maintains the original interaction context (selected unit, time range, etc.), switches back to the overview interface, and automatically refreshes the content of the three areas to display the latest score and deduction changes after the policy is executed. It also keeps the tree node hierarchy that the user previously expanded unchanged, achieving seamless return and dynamic updates.

[0040] The second data processing area 200 includes an edge computing module that performs real-time noise reduction, filtering, and standardization on the collected multi-source data, and transmits it to the first overview area 100 and the third early warning optimization area 300 through a unified interface.

[0041] The second data processing area 200 is also used to display data acquisition status, historical sampling records and anomaly indicators. After receiving the unit identifier, system identifier or time period information sent by the interface switching controller S, it filters the corresponding operating data and sends it to the first overview area 100 and the third early warning optimization area 300.

[0042] On the left side of the interface, users can see the second data processing area 200, which displays the real-time data acquisition status and processing flow. Users can monitor multi-source operating data of equipment such as boilers, steam turbines, pump sets, dust removal systems, fans, and flue gas systems in real time, including voltage, current, temperature, pressure, pump set opening, flue gas parameters, heat supply ratio, and economic indicators. The system automatically completes data denoising, filtering, and standardization processing through the edge computing module, and transmits the processed data in real time to the first overview area 100 and the third early warning optimization area 300. In the data processing area, users can view the data acquisition status, historical sampling records, and anomaly indicators. They can also select time periods or equipment groups for filtering and analysis. Through real-time monitoring of each acquired data frame, users can determine the integrity and accuracy of the data, providing a solid data foundation for overview display and early warning optimization.

[0043] The third early warning optimization area 300 includes parameter deviation early warning model 301, equipment operation anomaly early warning model 302, and economic early warning model.

[0044] The system receives data from the second data processing area 200; the parameter deviation early warning model 301 generates parameter deviation early warning information based on the deviation between the current parameter value and the safety threshold; the equipment operation anomaly early warning model 302 performs joint analysis on each parameter and generates equipment operation anomaly early warning information; the economic early warning model 303 calculates the corresponding minor error deduction and anomaly deduction based on the early warning level and parameter deviation value; and receives user instructions for adjusting optimization suggestions or marking abnormal events in fault early warning information.

[0045] When a user selects any deduction item or fault warning information in the third warning optimization area 300, the interface switching controller S executes the reverse positioning rule, drives the first overview area 100 to automatically highlight the scoring node corresponding to the selected deduction item or fault warning information, drives the second data processing area 200 to retrieve the source data and corresponding time segment that generated the deduction item or fault warning information, and drives the third warning optimization area 300 to expand the working condition optimization suggestions, economic optimization suggestions, or fault handling suggestions associated with the deduction item or fault warning information, extending the interaction path directly from problem discovery to problem location, suggestion output, and execution processing.

[0046] On the right side of the interface, users can operate and observe the third early warning optimization area 300. This area dynamically displays minor error deductions, abnormal deductions, and economic deductions. It also combines digital twin models and artificial intelligence algorithms to generate real-time operating condition optimization suggestions, economic optimization recommendations, and fault warning information. Users can view the deduction details, abnormality levels, and optimization schemes for each subsystem in real time, including pump combinations, pH control ranges, and power and coal consumption indicators, based on the unit, system, or time period selected in the overview area or data processing area. The early warning optimization area provides a graphical status distribution map, economic indicator contribution analysis, and an optimization strategy execution list, helping users quickly identify potential risk points, analyze economic deviations, and take action based on optimization suggestions. Operators can directly trigger strategy adjustments or mark abnormal events in this area. The system automatically feeds back the adjustment results to the overview area and data processing area, achieving a closed-loop display of scoring, early warnings, and optimization suggestions.

[0047] The interface switching controller S is used to record the current interaction context; the interaction context includes at least one of the selected scoring node, selected deduction item, and selected target time point or target time period; the interface switching controller S is used to record the selected scoring node, selected deduction item, selected warning item, selected target time point or target time period, and source interface identifier; when the interface switches from the overview interface to the system scoring interface or policy execution interface P2, the interface switching controller S synchronizes the content in the interaction context to the target interface, so that the target interface automatically focuses on the display position corresponding to the interaction context, and keeps the original expansion level, filtering conditions and time range unchanged.

[0048] The overview interface is a simultaneous display interface, where the first overview area 100, the second data processing area 200, and the third early warning optimization area 300 are displayed simultaneously on the same display page. When any area receives a user selection command, the interface switching controller S synchronously refreshes the display content of at least the other two areas on the current display page, without needing to jump to separate independent pages for simultaneous page interaction.

[0049] It adopts a modular grid design, with blue titles and white content sections displayed in layers. The first to third core areas and the interface switching controller S are linked in real time through interface interaction logic for data and operation.

[0050] Through a dynamic weight allocation algorithm, the scoring weights of the professional and system layers are automatically adjusted according to the actual operating status of the unit, and a refined evaluation of the operating status in all dimensions is carried out. It also interacts with the first to third core areas and the interface switching controller S, so that the scoring results, early warning information and optimization suggestions can be displayed and operated in real time.

[0051] The first overview area 100 updates and displays the total score and professional score according to the adjusted scoring weights; the third early warning and optimization area 300 updates and displays the corresponding deduction results, early warning information and optimization suggestions according to the adjusted scoring weights.

[0052] When a user selects any rating node in the first overview area 100, the interface switching controller S synchronously drives the first overview area 100 to display the lower-level rating information corresponding to the selected rating node, drives the second data processing area 200 to load the operating parameters, historical sampling records and anomaly indicators corresponding to the selected rating node, and drives the third early warning and optimization area 300 to display the deduction items, early warning items and optimization suggestions associated with the selected rating node.

[0053] When it is necessary to switch from the overview interface to the system rating interface, the interface switching controller S automatically positions the system rating interface to the detail module corresponding to the selected rating node, so that the same interactive action triggers multi-area linkage and performs non-isolated page jump.

[0054] Throughout the entire interface operation process, users can gradually complete the entire process from data collection, processing, overview display, anomaly identification to the application of optimization suggestions: Data Acquisition: Real-time acquisition of data from key equipment such as boilers, steam turbines, auxiliary equipment, and flue gas systems.

[0055] Data processing: The edge computing module performs noise reduction, filtering, and standardization.

[0056] Overview: The tree-like hierarchical structure displays the overall score and scores for each specialty, and supports trend charts and historical comparison charts.

[0057] Early warning optimization: Deductions for minor errors, abnormalities, and economic reasons are calculated in real time, and optimization suggestions are generated.

[0058] Interface switching: Switch between the overview, rating and policy execution interfaces P2 by switching controllers to ensure data synchronization across regions.

[0059] Closed-loop feedback: All operations and data changes are linked in real time in the overview, data processing and early warning optimization areas to form a closed-loop management system, supporting rapid decision-making and operation.

[0060] Through this operation process, users can comprehensively monitor the unit's operating status, assess equipment health and economic indicators, identify anomalies and apply optimization strategies in a single interface, and achieve refined, visualized and real-time management of the coal-fired unit's all-dimensional operating status. Each core area not only provides independent functions, but also improves operators' ability to perceive, analyze and control the unit's operating status through real-time interaction and closed-loop feedback of data, scores and optimization suggestions.

[0061] Example 2, refer to Figure 6 As an embodiment of the present invention, a method for improving unit operational reliability based on operational reliability scoring is provided, comprising: The first overview area 100 displays a tree-like rating node and receives user instructions to select rating nodes or target time points and target time periods, generating an interactive context.

[0062] The interface switching controller S synchronously drives the second data processing area 200 to filter the corresponding real-time data or historical sampling records according to the interaction context, and synchronously drives the third early warning optimization area 300 to display the corresponding deduction information, early warning information and optimization suggestions.

[0063] After receiving the user's selection instruction for deduction items or fault warning information in the third early warning optimization area 300, the system switches to the strategy execution interface P2 and simultaneously locates the corresponding scoring node in the first overview area 100, retrieves the corresponding real-time data or historical sampling records in the second data processing area 200, and displays the corresponding optimization suggestions in the third early warning optimization area 300.

[0064] Upon receiving a user's strategy adjustment instruction or abnormal event marking instruction, the scoring results, deduction results, and optimization suggestions are recalculated based on the parameter deviation early warning model 301, the equipment operation abnormality early warning model 302, the economic early warning model, and the dynamic weight allocation algorithm. The first overview area 100, the second data processing area 200, and the third early warning optimization area 300 are updated simultaneously.

[0065] This embodiment also provides a computer device, including a memory and a processor. The memory stores a computer program, and when the processor executes the computer program, it implements a system for improving the operational reliability of a unit based on operational reliability scoring as proposed in the above embodiment.

[0066] This embodiment also provides a computer-readable storage medium storing a computer program thereon. When the computer program is executed by a processor, it implements a system for improving unit operational reliability based on operational reliability scoring as proposed in the above embodiment.

[0067] If a function is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0068] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-including system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device.

[0069] More specific examples of computer-readable media (a non-exhaustive list) include: electrical connections (electronic devices) having one or more wires, portable computer disk drives (magnetic devices), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Furthermore, computer-readable media can even be paper or other suitable media on which the program can be printed, because the program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in computer memory.

[0070] It should be understood that various parts of the present invention can be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0071] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A system for improving unit operational reliability based on operational reliability scoring, characterized in that, include: The first overview area (100), located at the top center of the interface, is used to display the total score and professional score of the company level, plant level and unit level in a tree structure, and to display the trend information corresponding to the selected score node; The second data processing area (200) processes the collected multi-source data and provides it to the first overview area (100) and the third early warning optimization area (300). The third early warning optimization area (300) is located on the right side of the interface. It dynamically displays information on minor error deductions, abnormal deductions, and economic deductions. It combines digital twin models and artificial intelligence algorithms to generate real-time working condition optimization suggestions, economic optimization suggestions, and fault early warning information. The interface switching controller (S) is used to maintain the same interaction context between the overview interface, the system scoring interface (P1), and the strategy execution interface (P2). When receiving a single operation instruction for a scoring node, deduction item, warning item, or time axis, it synchronously distributes the unit identifier, system identifier, time range, and current interface status to the first overview area (100), the second data processing area (200), and the third warning optimization area (300), so that the first overview area (100) performs drill-down or backtracking display, the second data processing area (200) retrieves the corresponding data, the third warning optimization area (300) updates the corresponding deduction results and optimization suggestions, and refreshes at least two areas that have not been directly operated on in the current page or automatically locates the corresponding interface position after the page is switched.

2. The system for improving unit operation reliability based on operation reliability score of claim 1, wherein: The first overview area (100) includes, Trend charts, historical data comparison charts, and scoring node display units; The second data processing area (200) is used to provide the processed data to the first overview area (100) for updating the overall score and professional score, and at the same time provide basic data for the third early warning optimization area (300); Based on the trend chart and the comparison chart, the changing trends of unit operating status, equipment health and economic score are displayed, and anomalies and fluctuations in key scores are quickly identified. When a user selects a target time point or target time period in the trend chart or historical data comparison chart, the interface switching controller (S) generates a time traceability instruction. While maintaining the current scoring node selection state, it drives the second data processing area (200) to retrieve the running data of the corresponding time period and drives the third early warning optimization area (300) to update the deduction information, early warning information and optimization suggestions of the corresponding time period, so as to form a linkage traceability analysis in the time dimension.

3. The system for improving unit operational reliability based on operational reliability scoring as described in claim 1 or 2, characterized in that: The second data processing area (200) includes an edge computing module. It performs real-time noise reduction, filtering and standardization on the collected multi-source data, and transmits it to the first overview area (100) and the third early warning optimization area (300) through a unified interface. The second data processing area (200) is also used to display data acquisition status, historical sampling records and abnormal indicators. After receiving the unit identifier, system identifier or time period information sent by the interface switching controller (S), the corresponding operating data is filtered and sent to the first overview area (100) and the third early warning optimization area (300).

4. The system for improving unit operational reliability based on operational reliability scoring as described in claim 3, characterized in that: The third early warning optimization area (300) includes, Parameter deviation early warning model (301), equipment operation abnormality early warning model (302) and economic early warning model (303); Receive data provided by the second data processing area (200); The parameter deviation early warning model (301) is used to generate parameter deviation early warning information based on the deviation between the current value of the parameter and the safety threshold. The equipment operation anomaly early warning model (302) is used to perform joint analysis on each parameter and generate equipment operation anomaly early warning information; The economic early warning model (303) is used to calculate the corresponding minor and abnormal deductions based on the early warning level and parameter deviation value; Receive user instructions to adjust optimization strategies or to mark abnormal events in fault warning information; When a user selects any deduction item or fault warning information in the third warning optimization area (300), the interface switching controller (S) executes the reverse positioning rule, drives the first overview area (100) to automatically highlight the scoring node corresponding to the selected deduction item or fault warning information, drives the second data processing area (200) to retrieve the source data and corresponding time segment that generated the deduction item or fault warning information, and drives the third warning optimization area (300) to expand the working condition optimization suggestions, economic optimization suggestions or fault handling suggestions associated with the deduction item or fault warning information, extending the interaction path directly from problem discovery to problem location, suggestion output and execution processing.

5. The system for improving unit operational reliability based on operational reliability scoring as described in any one of claims 1, 2, and 4, characterized in that: The interface switching controller (S) is used to record the current interaction context; The interaction context includes at least one of the selected scoring node, the selected deduction item, and the selected target time point or target time period; The interface switching controller (S) is used to record the selected scoring node, the selected deduction item, the selected warning item, the selected target time point or target time period, and the source interface identifier; When the interface switches from the overview interface to the system rating interface (P1) or the strategy execution interface (P2), the interface switching controller (S) synchronizes the content in the interaction context to the target interface, so that the target interface automatically focuses on the display position corresponding to the interaction context, while keeping the original expansion level, filtering conditions and time range unchanged.

6. The system for improving unit operational reliability based on operational reliability scoring as described in claim 5, characterized in that: The overview interface is a simultaneous display interface, where the first overview area (100), the second data processing area (200), and the third early warning optimization area (300) are displayed on the same display page simultaneously. When any area receives a user selection instruction, the interface switching controller (S) simultaneously refreshes the display content of at least the other two areas within the current display page, without needing to jump to separate independent pages for simultaneous screen interaction. It adopts a modular grid design, with blue titles and white content sections displayed in layers. The first to third core areas and the interface switching controller (S) are linked in real time through interface interaction logic for data and operation.

7. The system for improving unit operational reliability based on operational reliability scoring as described in any one of claims 1, 2, 4, and 6, characterized in that: Through a dynamic weight allocation algorithm, the scoring weights of the professional and system layers are automatically adjusted according to the actual operating status of the unit, and a refined evaluation of the operating status in all dimensions is carried out. It also interacts with the first to third core areas and the interface switching controller (S) so that the scoring results, early warning information and optimization suggestions can be displayed and operated in real time. The first overview area (100) updates and displays the total score and professional score according to the adjusted scoring weights; The third early warning optimization area (300) updates and displays the corresponding deduction results, early warning information and optimization suggestions according to the adjusted scoring weights; When a user selects any rating node in the first overview area (100), the interface switching controller (S) synchronously drives the first overview area (100) to display the lower-level rating information corresponding to the selected rating node, drives the second data processing area (200) to load the operating parameters, historical sampling records and abnormal identifiers corresponding to the selected rating node, and drives the third early warning and optimization area (300) to display the deduction items, early warning items and optimization suggestions associated with the selected rating node; When it is necessary to switch from the overview interface to the system rating interface (P1), the interface switching controller (S) automatically positions the system rating interface (P1) to the detail module corresponding to the selected rating node, so that the same interactive action triggers multi-area linkage and performs non-isolated page jump.

8. A method for improving unit operational reliability based on operational reliability scoring, comprising the system for improving unit operational reliability based on operational reliability scoring as described in any one of claims 1 to 7, characterized in that, include: The tree-like rating nodes are displayed in the first overview area (100), and the user's selection instructions for rating nodes or selection instructions for target time points or target time periods are received, generating an interactive context; The interface switching controller (S) synchronously drives the second data processing area (200) to filter the corresponding real-time data or historical sampling records according to the interaction context, and synchronously drives the third early warning optimization area (300) to display the corresponding deduction information, early warning information and optimization suggestions. After receiving the user's selection instruction for deduction items or fault warning information in the third early warning optimization area (300), the system switches to the strategy execution interface (P2) and simultaneously locates the corresponding scoring node in the first overview area (100), retrieves the corresponding real-time data or historical sampling records in the second data processing area (200), and displays the corresponding optimization suggestions in the third early warning optimization area (300). Upon receiving a user's strategy adjustment instruction or abnormal event marking instruction, the scoring results, deduction results, and optimization suggestions are recalculated based on the parameter deviation early warning model (301), equipment operation abnormality early warning model (302), economic early warning model, and dynamic weight allocation algorithm. The first overview area (100), the second data processing area (200), and the third early warning optimization area (300) are updated simultaneously.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the system for improving unit operational reliability based on operational reliability scoring as described in any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the system for improving unit operational reliability based on operational reliability scoring as described in any one of claims 1 to 7.

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