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CN-122022768-A - Workshop production information management and equipment maintenance system based on BS architecture

CN122022768ACN 122022768 ACN122022768 ACN 122022768ACN-122022768-A

Abstract

The invention provides a workshop production information management and equipment maintenance system based on a BS (browser/server) framework, and relates to the technical field of industrial Internet and intelligent manufacturing. The method comprises the steps of analyzing a heterogeneous protocol through a data acquisition module, judging working conditions in real time, triggering active alarm, generating a closed-loop electronic maintenance event stream penetrating repair, maintenance and evaluation through a mobile maintenance terminal, carrying out space-time correlation storage on production data and the maintenance event stream by means of a data server, carrying out intelligent mining analysis on the production data and the maintenance event stream, generating a predictive maintenance instruction and a bottleneck analysis result, and supporting task simulation and global monitoring. The invention realizes the deep fusion and intelligent decision of production, maintenance and management data, solves the problems of isolated island of workshop information, low efficiency of maintenance flow and management hysteresis, and remarkably improves the reliability, production transparency and operation efficiency of equipment.

Inventors

  • LV JIAN
  • CAI XIANG
  • YANG XINBO

Assignees

  • 浙江新柴股份有限公司

Dates

Publication Date
20260512
Application Date
20260122

Claims (10)

  1. 1. A BS architecture-based plant production information management and equipment maintenance system, comprising: The data acquisition module comprises a protocol adaptation unit and an edge processing unit, wherein the protocol adaptation unit is used for analyzing and converting heterogeneous data protocols from various instruments and meters in a workshop, and the edge processing unit is used for judging the real-time working condition of the acquired production data and triggering active alarm when the acquired production data is judged to be abnormal working conditions; The mobile maintenance terminal is used for generating and managing a structured electronic maintenance event stream, wherein the electronic maintenance event stream at least comprises a logically associated maintenance event node, a maintenance processing event node and a closed-loop event node based on verification evaluation; the data server is in communication connection with the data acquisition module and the mobile maintenance terminal; The data server comprises an associated storage unit and an intelligent analysis unit; the associated storage unit is used for carrying out space-time associated storage on the production data from the data acquisition module and the electronic maintenance event stream from the mobile maintenance terminal; The intelligent analysis unit is used for carrying out mining analysis on the data stored in association and generating decision support information containing a predictive maintenance trigger instruction or a production bottleneck analysis result.
  2. 2. The BS-architecture-based plant production information management and equipment maintenance system of claim 1, wherein the user interface provided by the mobile maintenance terminal comprises: the report and repair application interface is used for receiving input containing equipment position identification, fault description and on-site multimedia evidence; the maintenance processing interface is used for recording fault cause analysis, treatment measures and maintenance process evidence filled by maintenance personnel; And the evaluation closed-loop interface is used for receiving maintenance result confirmation and service evaluation information of the repairing party.
  3. 3. The BS-architecture based plant production information management and equipment maintenance system of claim 1, further comprising a repair repository unit configured to: Extracting features of the closed-loop electronic maintenance event stream to form a structured maintenance case; Dynamically constructing a maintenance decision knowledge base indexed by equipment type and fault phenomenon based on a plurality of the structured maintenance cases; When the mobile maintenance terminal generates a new repair event node, matching and pushing similar historical repair cases from the repair decision knowledge base according to fault characteristics.
  4. 4. The BS-architecture-based plant production information management and equipment maintenance system of claim 1, wherein the intelligent analysis unit comprises a predictive maintenance trigger module configured to: Monitoring time sequence operation data of a specific device; processing the time sequence operation data by using a preset fault prediction model, and calculating the health state score of the equipment; And when the health state score is continuously lower than a preset early warning threshold value, automatically generating a predictive maintenance work order and pushing the predictive maintenance work order to the mobile maintenance terminal.
  5. 5. The BS-architecture-based plant production information management and equipment maintenance system of claim 4, wherein the failure prediction model is constructed by: Extracting operation data of the historical equipment in a set time period before the occurrence of faults from the associated storage unit to serve as a training positive sample, and extracting operation data of the equipment in a normal operation period to serve as a training negative sample; model training is carried out on the training positive sample and the training negative sample by using a machine learning algorithm, so that a classification model capable of identifying the abnormal precursor state of the equipment is obtained; And deploying the classification model as the fault prediction model.
  6. 6. The BS-architecture-based plant production information management and equipment maintenance system of claim 1, wherein the intelligent analysis unit further comprises a bottleneck analysis module configured to: Analyzing the associated stored data, and counting accumulated downtime or yield loss caused by different equipment or fault types; according to the statistical result, identifying and arranging key bottleneck factors with the greatest influence on the overall production efficiency; and visually outputting the analysis results containing the key bottleneck factor sequences.
  7. 7. The BS-architecture-based plant production information management and equipment maintenance system of claim 1, further comprising a task simulation module configured to: establishing an association relation model between a production task, an equipment maintenance task and an equipment real-time state; responding to a newly added task or a task change request, and simulating the influence of the task on related equipment loads, related task progress and key production indexes based on the association relation model; And generating and outputting an impact analysis report obtained by simulation.
  8. 8. The BS-based plant production information management and equipment maintenance system of claim 1, wherein the data synchronization between the mobile maintenance terminal and the data server uses an incremental synchronization mechanism to synchronize only the changing data content and supports offline operation and local data caching when the network connection is interrupted.
  9. 9. The BS-architecture-based plant production information management and equipment maintenance system of claim 1, wherein the data server is further configured to generate and output a global monitoring view, where the global monitoring view simultaneously presents, in an integrated display interface, a real-time status distribution of equipment in the plant, an ongoing maintenance event and its progress, a current value of a key production index, and active system pre-warning information, and supports a detailed data page for navigating directly from the view to any monitoring target.
  10. 10. The BS architecture-based plant production information management and equipment maintenance system according to claim 1, wherein the rule according to which the edge processing unit performs real-time working condition judgment is a threshold rule or state judgment logic preconfigured for different equipment types.

Description

Workshop production information management and equipment maintenance system based on BS architecture Technical Field The invention relates to the technical field of industrial Internet and intelligent manufacturing, in particular to a workshop production information management and equipment maintenance system based on a BS framework. Background In the modern manufacturing industry, in particular in the fields of discrete manufacturing workshops such as casting, machining and the like, the fine, transparent and intelligent management of the production process is a core for improving efficiency, ensuring quality and reducing cost. A large number of instruments, such as electric furnaces, molding machines, spectrometers, thermometers guns, etc., are typically deployed in workshops for monitoring process parameters, equipment status, and product quality, which are sources of production data. The current common shop management model faces a serious set of challenges. Firstly, data generated by each instrument is often scattered and isolated, and is recorded by different controllers and upper computer software, and the data format and the protocol are heterogeneous, so that a data island is formed. The production, technology and quality departments have difficulty in quickly and uniformly inquiring the required history and real-time data, and are more incapable of conveniently carrying out association analysis on the equipment operation curve (such as a power curve and a temperature curve) and the product quality result, so that the problem root is difficult to check and the decision is lagged. Second, the equipment maintenance process is still highly dependent on paper documents or simple spreadsheets. When equipment fault is reported and repaired, the handwriting of an application form is scratched, the information is incomplete and is easy to lose, the maintenance process lacks standardized record and image evidence, and the links of effect confirmation and experience evaluation after maintenance are lost. The connection between the maintenance department and the production department is not smooth, similar faults occur repeatedly, the maintenance experience cannot be effectively precipitated and reused, and the comprehensive efficiency of the equipment is low. The communication of production information and the execution tracking mode of tasks are old. The information such as the production progress, the equipment state and the like is not updated timely, and a manager cannot grasp key information such as what is currently produced, how much is targeted, how much is completed, whether equipment is normal and the like in real time. The task is distributed by oral or instant communication tools, a systematic recording, dispatching, tracking and checking mechanism is lacked, the task progress is opaque, omission or delay is easy to occur, and the follow-up recovery and responsibility tracing cannot be performed. Finally, although there are some independent data acquisition systems or maintenance management systems, they often have single functions and are split, and organic links among production data, maintenance records, task information and equipment files are lacking, so that integrated data support and intelligent analysis cannot be provided for production optimization, preventive maintenance and resource scheduling, and the requirements of lean production and intelligent manufacturing are difficult to adapt. Disclosure of Invention The invention provides a workshop production information management and equipment maintenance system based on a BS framework, which aims to solve the technical problems that in the prior art, instrument and meter data are difficult to be intensively utilized in a scattered and heterogeneous manner, equipment maintenance flow is low in paper quality, experience cannot be inherited, management is lagged due to opaque production and task information, and each link information is isolated and cannot support integrated intelligent decision. The technical scheme provided by the invention is as follows: the invention provides a workshop production information management and equipment maintenance system based on a BS architecture, which comprises the following components: The data acquisition module comprises a protocol adaptation unit and an edge processing unit, wherein the protocol adaptation unit is used for analyzing and converting heterogeneous data protocols from various instruments and meters in a workshop, and the edge processing unit is used for judging the real-time working condition of the acquired production data and triggering active alarm when the acquired production data is judged to be abnormal working conditions; The mobile maintenance terminal is used for generating and managing a structured electronic maintenance event stream, wherein the electronic maintenance event stream at least comprises a logically associated maintenance event node, a maintenance processing eve