CN-122022769-A - Intelligent operation and maintenance management system and method for building electromechanical equipment

CN122022769ACN 122022769 ACN122022769 ACN 122022769ACN-122022769-A

Abstract

The application provides an intelligent operation and maintenance management system and method for building mechanical and electrical equipment, comprising the steps of obtaining an equipment operation and maintenance regulation updating signal through an external source, comparing preset version identifiers through a real-time monitoring mechanism, judging whether regulation change exists or not to obtain a regulation change set, extracting key clauses according to the regulation change set, processing clause contents through a text analysis method, combining equipment maintenance service scenes, determining association requirements of maintenance periods and energy efficiency indexes to obtain executable inspection rules, driving a data acquisition module according to an updating requirement list, linking the equipment maintenance periods and the energy efficiency indexes through an association analysis method, combining operation characteristics of industrial equipment, determining a constraint relation between the equipment maintenance periods and the energy efficiency indexes to obtain an index supervision model, extracting equipment operation pressure related elements from a compliance file data set, carrying out sequential processing on regulation change histories, combining operation and maintenance continuity service requirements, judging file continuity, and obtaining an operation and maintenance compliance report.

Inventors

LIU WEIMIN
LIU WEIJIA
LIU XIAOSHUANG
WU DONGHUI
WU LIQUN

Assignees

湖北派洲建筑工程有限公司

Dates

Publication Date: 20260512
Application Date: 20260122

Claims (8)

1. An intelligent operation and maintenance management system and method for building electromechanical equipment are characterized in that the method comprises the following steps: Acquiring equipment operation and maintenance regulation updating signals through an external source, comparing preset version identifiers by adopting a real-time monitoring mechanism, judging whether regulation change exists or not, and obtaining a change regulation set; extracting key clauses according to the change rule set, processing clause content by adopting a text analysis method, combining equipment maintenance service scenes, determining association requirements of maintenance periods and energy efficiency indexes, and obtaining executable inspection rules; Acquiring original operation and maintenance records from equipment historical data, carrying out matching analysis aiming at the executable checking rule, triggering a supplementary detection flow if the matching degree is lower than a preset threshold value, and judging the record integrity through integrity evaluation to obtain an update demand list; driving a data acquisition module according to the update demand list, linking equipment maintenance period and energy efficiency indexes by adopting a correlation analysis method, and determining a constraint relation between the equipment maintenance period and the energy efficiency indexes by combining the operation characteristics of industrial equipment to obtain an index supervision model; Acquiring real-time equipment parameters from the index supervision model, dynamically comparing the requirements of the change rule set, generating an alarm signal if the parameters deviate from the rule boundary, and judging compliance deviation through deviation analysis to obtain a deviation correction instruction; Integrating historical operation and maintenance records and current equipment data according to the deviation correction instruction, integrating equipment traceability information and current regulation clauses by adopting a file construction method, integrating equipment life cycle management, determining a complete file frame, and obtaining a compliance file data set; And extracting the relevant elements of the equipment operation pressure from the compliance file data set, carrying out serialization processing aiming at the regulation change history, and judging the file continuity by combining the operation and maintenance continuity business requirements to obtain the operation and maintenance compliance report.
2. The system and method for intelligent operation and maintenance management of building electromechanical equipment according to claim 1, wherein the obtaining the equipment operation and maintenance regulation update signal through the external source, comparing the preset version identifier by adopting a real-time monitoring mechanism, judging whether regulation change exists, and obtaining a change regulation set, includes: obtaining a regulation update signal through an external source; Extracting a version identifier from the regulation updating signal by adopting a real-time monitoring mechanism; Performing comparison mechanism processing according to the preset version and the extracted version identifier; if the version identification is consistent with the preset version, judging that the regulation change does not exist; If the version identification is inconsistent with the preset version, judging that the regulation change exists; after judging that the regulation change exists, acquiring a change regulation set; A text difference comparison algorithm is adopted for the change rule set to obtain specific change contents; and determining a change rule set according to the specific change content.
3. The intelligent operation and maintenance management system and method for building electromechanical equipment according to claim 1, wherein the extracting key terms according to the change rule set, processing the term content by adopting a text parsing method, combining with equipment maintenance service scene, determining the association requirement of maintenance period and energy efficiency index, and obtaining executable inspection rules, comprises: extracting descriptive sentences related to maintenance period and energy efficiency indexes in clause content by adopting a text analysis method according to the change rule set and key clauses; Determining a direct association expression of the maintenance period and the energy efficiency index from the extracted description statement through keyword matching and syntactic analysis; If the associated expression contains a period adjustment condition, extracting an energy efficiency index threshold range and a corresponding period requirement in the condition; Constructing a corresponding relation table of maintenance period and energy efficiency indexes according to the extracted conditions and requirements; Adopting a rule engine matching relation table to perform condition judgment on the current energy efficiency index value of the equipment; if the current energy efficiency index meets the condition in the relation table, acquiring a corresponding maintenance period as a recommended period; An executable inspection rule is generated from the relationship table and the recommended period, including period requirements and energy efficiency indicator checkpoints.
4. The intelligent operation and maintenance management system and method for building electromechanical equipment according to claim 1, wherein the acquiring original operation and maintenance records from the equipment history data, performing matching analysis for the executable checking rule, triggering a supplementary detection flow if the matching degree is lower than a preset threshold, judging the record integrity through integrity evaluation, and obtaining an update requirement list comprises: Acquiring an original operation and maintenance record from historical data of equipment; Extracting a structured field and an executable check rule corresponding item aiming at the original operation and maintenance record; performing matching analysis by adopting a rule engine, and calculating the matching degree; if the matching degree is lower than a preset threshold value, triggering a supplementary detection flow to acquire supplementary detection data; judging the record integrity of the original operation and maintenance record combined with the supplementary detection data through an integrity evaluation model; Determining a missing part according to the record integrity, and generating an update demand list; And performing priority sorting on the update demand list to obtain a sorted update demand sequence.
5. The intelligent operation and maintenance management system and method for building electromechanical equipment according to claim 1, wherein the driving the data acquisition module according to the updated demand list links the equipment maintenance period and the energy efficiency index by adopting a correlation analysis method, and determines a constraint relation between the equipment maintenance period and the energy efficiency index by combining the operation characteristics of industrial equipment to obtain an index supervision model, and the method comprises the following steps: Acquiring maintenance period related records and energy efficiency index data from the operation process of industrial equipment through a data acquisition module, and finishing the acquired information by adopting a standardized processing method to obtain a structured equipment operation data set; Aiming at a structured equipment operation data set, adopting a correlation analysis method to mine the relation between a maintenance period and an energy efficiency index, and determining a constraint relation mode of the maintenance period and the energy efficiency index under different operation characteristics; According to the constraint relation mode, combining the operation characteristics of industrial equipment and equipment state information, constructing a preliminary framework of index supervision, and acquiring a characteristic combination capable of reflecting the association of maintenance period and energy efficiency indexes; performing data mapping on energy efficiency evaluation and period optimization through the feature combination, and if the energy efficiency index in the feature combination is lower than a preset threshold value, performing adjustment simulation on the maintenance period to obtain an optimized period scheme; Carrying out parameter calibration on an index supervision framework by adopting an optimized periodic scheme and combining the equipment state and the operation characteristics, and judging whether the calibrated framework meets the requirement of energy efficiency evaluation; And constructing a complete index supervision model by using the result of the association analysis and the constraint relation mode according to the calibrated index supervision framework, and determining a final equipment maintenance and energy efficiency management strategy.
6. The intelligent operation and maintenance management system and method for building electromechanical equipment according to claim 1, wherein the acquiring real-time equipment parameters from the index supervision model, dynamically comparing the requirements of the change rule set, generating an alarm signal if the parameters deviate from the rule boundary, judging compliance deviation through deviation analysis, and obtaining a deviation correction instruction, comprises: continuously acquiring equipment parameter data through an index supervision model, primarily cleaning the acquired data stream, and removing abnormal values to obtain a standardized parameter data set; according to a standardized parameter data set and with the combination of preset regulation set requirements, checking each parameter value one by adopting a dynamic comparison mechanism, if the parameter value is detected to be out of a compliance range, recording a specific deviation item, and determining a deviation detail list; aiming at the deviation detail list, obtaining corresponding parameter exceeding records, decomposing each deviation item layer by using a deviation analysis tool, judging a deviation source and an influence range, and obtaining a deviation cause classification; The method comprises the steps of obtaining a processing rule corresponding to a deviation cause by classifying the deviation cause and matching a pre-established correction instruction library to generate a preliminary correction instruction set; according to the preliminary correction instruction set, combining with the real-time acquisition state of the equipment parameters, dynamically adjusting the instruction set, judging whether the instruction is suitable for the current running environment, and if not, re-matching the instruction library to obtain an optimized correction instruction set; Acquiring an optimized correction instruction set, issuing an instruction aiming at the current state of equipment parameters, transmitting the instruction to target equipment through an automatic execution module, and determining the completion state of instruction execution; And continuously monitoring the change trend of the equipment parameters through the completion state of instruction execution, and triggering secondary deviation analysis to generate a supplementary correction instruction if the change trend does not reach the standard limit.
7. The intelligent operation and maintenance management system and method for building electromechanical equipment according to claim 1, wherein integrating historical operation and maintenance records with current equipment data according to the deviation correction instruction adopts a file construction method to integrate equipment traceability information with current regulation terms, integrates equipment life cycle management, determines a complete file frame, and obtains a compliance file data set, and comprises the following steps: The original records and the real-time data are classified and stored in a batch processing mode through the collection of the historical operation and maintenance records and the equipment data, so that a primarily-arranged data set is obtained; According to the data set of preliminary arrangement, aiming at the deviation correction requirement, carrying out data calibration by using a preset rule base, judging whether an abnormal value exists, if the abnormal value is detected, marking the abnormal value, and determining the calibrated data set; Acquiring a calibrated data set, combining the traceability information with the rule terms, and matching the data with the rule requirements by adopting a mapping method to obtain a data mapping result which accords with the rule; aiming at the data mapping result, life cycle management information is merged, and the data is stored in a layered manner according to time sequence by analyzing the equipment state in a staged manner, so that a layered data structure is determined; extracting relevant information of equipment management from the layered data structure, and integrating the multi-source data into a unified format by adopting a file construction method to obtain structured file content; Generating a complete file through a preset template according to the structured file content and the frame construction requirement, judging whether the standard of the compliance data set is met, and if the standard is not met, readjusting the data classification to obtain a final compliance file data set; and distributing the data to a specified database through a final compliance archive data set by adopting a storage optimization technology, completing the persistence preservation of the archive, and determining the closed loop of the archive management process.
8. The intelligent operation and maintenance management system and method for building electromechanical equipment according to claim 1, wherein the extracting the equipment operation pressure related elements from the compliance archive data set, performing serialization processing for the regulation change history, and determining archive continuity in combination with operation and maintenance continuity service requirements to obtain an operation and maintenance compliance report, comprises: Extracting equipment operation pressure related elements from the compliance file data set to obtain an operation pressure element set; carrying out serialization processing on the rule change history to obtain a rule change sequence; according to the alignment of the operation pressure element set and the corresponding time point of the regulation changing sequence, determining the state record of the pressure related element under each regulation version; sorting the regulation change sequence and the pressure related element state record through the time sequence to obtain a change history sequence; Judging whether interruption exists between adjacent records in the change history sequence by adopting a rule matching method, and marking the corresponding position if the interruption exists, so as to obtain a continuity judging result; Comparing the continuity judgment result with the operation and maintenance continuity requirement, and recording a deviation item if the marking position exceeds the operation and maintenance continuity requirement to obtain a file continuity deviation set; and generating an operation and maintenance compliance report by summarizing the file continuity deviation set and the corresponding regulation change sequence.

Description

Intelligent operation and maintenance management system and method for building electromechanical equipment Technical Field The invention relates to the technical field of information, in particular to an intelligent operation and maintenance management system and method for building electromechanical equipment. Background The intelligent operation and maintenance management system for the building electromechanical equipment is an important field for guaranteeing long-term safe and efficient operation of large building facilities, and has a key basic supporting function along with the expansion of the scale of a building and the improvement of the complexity of an equipment system, and the field is directly related to public safety, energy conservation and environmental protection. Although the current operation and maintenance systems realize equipment state monitoring and fault early warning, compliance requirements on national standards, industry specifications and local regulations often depend on manual judgment and periodic inspection, and the regulation contents are scattered in files issued by different departments and are updated frequently, so that the system is difficult to master the latest requirements in real time. Once regulation is carried out, operation and maintenance personnel need to manually check a large number of equipment parameters and history records, omission or judgment deviation easily occurs, and the compliance management is always in a passive state. Under such a background, the system needs to embed the changing legal requirements into the daily operation and maintenance flow, so that the compliance check becomes an automatic core link. However, the regulation itself has dynamics, the content relates to the maintenance period, the safety detection frequency, the energy efficiency index, the environment-friendly emission and other requirements, and the requirements are related to each other, for example, the maintenance period directly influences the achievement of the energy efficiency index, and the energy efficiency and the emission index are limited by the safety detection result. When the rules are updated, the association requirements are changed synchronously, and if the system cannot timely and completely convert the new rule into an executable checking rule, fault can occur in the original interdependent parameter supervision, so that certain equipment runs normally on the surface but deviates from the latest rule boundary. More specifically, after routine maintenance, the system records equipment overhaul operation and detection reports, but after a few months, the relevant energy efficiency standard is up-regulated, the original records are complete, but the current running state still meets new requirements, operation and maintenance personnel need to supplement detection and proof materials again, and the supervision department often needs to provide a complete set of latest compliance files immediately during inspection, so that double pressures of the files need to be traced back to the history and correspond to the current regulations are formed. Therefore, how to effectively embed the dynamically updated legal content in the intelligent operation and maintenance system and realize the automatic supervision and complete file recording of the mutually related compliance indexes becomes a key problem for guaranteeing the operation and maintenance compliance of the electromechanical equipment of the building. Disclosure of Invention The invention provides an intelligent operation and maintenance management system and method for building electromechanical equipment, which mainly comprise the following steps: Acquiring equipment operation and maintenance regulation updating signals through an external source, comparing preset version identifiers by adopting a real-time monitoring mechanism, judging whether regulation change exists or not, and obtaining a change regulation set; extracting key clauses according to the change rule set, processing clause content by adopting a text analysis method, combining equipment maintenance service scenes, determining association requirements of maintenance periods and energy efficiency indexes, and obtaining executable inspection rules; Acquiring original operation and maintenance records from equipment historical data, carrying out matching analysis aiming at the executable checking rule, triggering a supplementary detection flow if the matching degree is lower than a preset threshold value, and judging the record integrity through integrity evaluation to obtain an update demand list; driving a data acquisition module according to the update demand list, linking equipment maintenance period and energy efficiency indexes by adopting a correlation analysis method, and determining a constraint relation between the equipment maintenance period and the energy efficiency indexes by combining the operation characteristics of industrial