CN-121998627-A - Digital maintenance platform construction method, device and medium

CN121998627ACN 121998627 ACN121998627 ACN 121998627ACN-121998627-A

Abstract

The application discloses a method, equipment and medium for constructing a digital maintenance platform, and relates to the technical field of operation and maintenance of industrial equipment. The method comprises the steps of embedding a preset maintenance field model in a general API gateway to construct a service semantic API gateway, taking a maintenance service object as a core input parameter of the service semantic API gateway to generate a maintenance decision index, integrating an embedded state panel in a digital maintenance standard technical framework, configuring a service operation interaction rule and a maintenance service operation inlet to obtain an initial embedded state panel, constructing a matching link of panel operation and a digital maintenance standard service flow, converting the initial embedded state panel into an adaptive embedded state panel capable of dynamically displaying data, matching the maintenance decision index with a preset maintenance knowledge map to generate a maintenance decision path corresponding to the maintenance service object, and pushing the maintenance decision path to the adaptive embedded state panel to construct a digital maintenance platform.

Inventors

YU NING
FAN FENGTAO
WU HEPING
CHEN XIAOTONG

Assignees

亚太森博（山东）浆纸有限公司

Dates

Publication Date: 20260508
Application Date: 20260408

Claims (10)

1. A method for constructing a digital maintenance platform, the method comprising: A preset maintenance field model is built in a general API gateway to construct a service semanteme API gateway, and a maintenance service object is used as a core input parameter of the service semanteme API gateway to generate a maintenance decision index, wherein the maintenance service object comprises a device position, a device number and a work order number; Integrating an embedded state panel in a standard technical framework of digital maintenance, and configuring business operation interaction rules and maintenance business operation inlets for the embedded state panel to obtain an initial embedded state panel; Setting up a matching link of panel operation and a digital maintenance standard business process to convert the initial embedded state panel into an adaptive embedded state panel capable of dynamically displaying data; And matching the maintenance decision index with a preset maintenance knowledge graph to generate a maintenance decision path corresponding to the maintenance business object, and pushing the maintenance decision path to the adaptive embedded state panel to construct a digital maintenance platform.
2. The method for constructing a digital maintenance platform according to claim 1, further comprising: Constructing a maintenance field model, which specifically comprises the following steps: Integrating core business elements of industrial equipment based on business logic in a digital maintenance whole process to establish a data mapping relation between the core business elements and maintenance business objects, wherein the core business elements comprise equipment state data, historical maintenance work order data, fault diagnosis data and process parameter data; defining the calculation logic and the association rule of the maintenance decision index based on the mapping relation between the core business elements and the data so as to generate a domain model framework which can be adapted to a maintenance business scene; and carrying out fusion debugging on the domain model framework and the data source access logic of the universal API gateway, and verifying the matching of the output maintenance decision index and the actual maintenance business requirement so as to complete the construction and optimization of the maintenance domain model.
3. The method for constructing a digitized maintenance platform according to claim 1, wherein a preset maintenance domain model is built in the generic API gateway to construct a business semantic API gateway, specifically comprising: Building a basic access architecture of the universal API gateway, and packaging an access interface of a real-time industrial equipment data source in the basic access architecture to realize stable data retrieval; and implanting the maintenance field model into a data processing layer of the universal API gateway to generate the service semanteme API gateway.
4. The method for constructing a digital maintenance platform according to claim 2, wherein an embedded status panel is integrated in a standard technical framework of digital maintenance, and business operation interaction rules and maintenance business operation portals are configured for the embedded status panel to obtain an initial embedded status panel, specifically comprising: Developing an embedded state panel basic carrier which is adapted to a standard technical framework based on the original development specification of the standard technical framework of digital maintenance, and designing a maintenance business operation inlet of the embedded state panel to realize the accurate association of the maintenance business operation inlet and business operation; based on the service execution logic of the digital maintenance, making a service operation interaction rule of the embedded state panel so as to define service triggering conditions, execution paths and execution feedback data of panel operation; And implanting the configured business operation interaction rule and the maintenance business operation inlet into the embedded state panel basic carrier to obtain the initial embedded state panel.
5. The method for constructing a digital maintenance platform according to claim 4, wherein a matching link between a panel operation and a digital maintenance standard business process is constructed to convert the initial embedded status panel into an adaptive embedded status panel capable of dynamically displaying data, specifically comprising: Generating a standardized business process mapping table based on the business triggering condition of panel operation and the execution feedback data; Based on the business process mapping table, establishing an association relation between an operation instruction of the initial embedded state panel and each business process node so as to build a basic matching link of panel operation and a standard business process; and configuring a data real-time synchronization mechanism for the basic matching link, and matching the maintenance service object with the dynamic data display of the initial embedded state panel to generate an adaptive embedded state panel capable of dynamically displaying data.
6. The method for constructing a digitized maintenance platform according to claim 1, wherein the matching the maintenance decision index with a preset maintenance knowledge graph to generate a maintenance decision path corresponding to the maintenance business object specifically comprises: Extracting equipment state characteristics and abnormal modes corresponding to the current maintenance business object based on the maintenance decision index; Comparing the equipment state characteristics and the abnormal modes with the historical fault characteristics stored in the maintenance knowledge graph to obtain historical fault nodes corresponding to the current maintenance business object; Retrieving fault reasons, solutions and historical maintenance records associated with the historical fault nodes from the maintenance knowledge graph; Based on the retrieved fault cause, solution and historical repair records, a decision path is constructed from the current repair business object to the recommended repair action.
7. The method for constructing a digital maintenance platform according to claim 6, wherein pushing the maintenance decision path to the adaptive embedded status panel to construct the digital maintenance platform specifically comprises: Rendering the recommended maintenance action as a plurality of decision advice items in the adaptive embedded status panel, and binding a corresponding maintenance business operation entry for each advice item; When an operator selects any decision suggestion item, activating the bound maintenance business operation inlet, and establishing a data transmission channel between the maintenance business operation inlet and the digital maintenance standard business process so as to drive the starting of the business process; And the state feedback and the result data in the execution process of the business flow are transmitted back to the adaptive embedded state panel in real time so as to realize the visual presentation of the decision execution closed loop.
8. A method of constructing a digital service platform according to claim 1, wherein after constructing the digital service platform, the method further comprises: Extracting service execution data in the maintenance decision path, wherein the service execution data comprises real-time process parameters, predicted values and degradation of equipment caused by the predicted values; and carrying out association matching on the business execution data and the abnormal data pattern recorded by the adaptive embedded state panel in the maintenance execution process so as to generate an alarm and generate maintenance suggestions.
9. A digital maintenance platform construction apparatus, the apparatus comprising: at least one processor; and a memory communicatively coupled to the at least one processor; Wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform a method as claimed in any one of claims 1 to 8.
10. A non-transitory computer storage medium constructed of a digital maintenance platform storing computer executable instructions which, when executed, implement a method as claimed in any one of claims 1 to 8.

Description

Digital maintenance platform construction method, device and medium Technical Field The application relates to the technical field of operation and maintenance of industrial equipment, in particular to a method, equipment and medium for constructing a digital maintenance platform. Background The current industrial equipment maintenance management field mainly has two types of technical schemes, and the two types of technical schemes respectively have respective limitations that independent digital twin or visual monitoring systems are generally constructed based on PI Vision, a three-dimensional modeling tool or a special large screen display platform, so that real-time monitoring and visual display of equipment states can be realized, but the systems are mostly deployed independently, and data and flow splitting exists between the systems and core business systems (such as enterprise resource planning systems (ERP) and equipment maintenance management systems) of enterprises, alarm information generated by the systems cannot automatically trigger maintenance work orders, abnormal data cannot be associated with historical maintenance records, maintenance personnel still need to manually enter maintenance instructions in another system to form a data visual island, closed-loop management of maintenance execution from state perception cannot be realized, and secondly, the traditional maintenance management systems represented by equipment maintenance modules in the enterprise resource planning systems can effectively manage the maintenance work orders, resource scheduling and cost accounting, have perfect business flow support, but the data entry is highly dependent on manual work, the situation is mostly poor in sensing ability of real-time operation states of equipment, the maintenance forms or static tables after decision-making, and the maintenance modes are difficult to realize predictively and passively. Therefore, how to implement deep fusion of equipment state data and service flow in a maintenance service system and implement data-driven intelligent decision in a service operation interface becomes a technical problem to be solved urgently. Disclosure of Invention The embodiment of the application provides a method, equipment and a medium for constructing a digital maintenance platform, which are used for solving the technical problems that how to realize the deep fusion of equipment state data and a service flow in a maintenance service system and realize the intelligent decision of data driving in a service operation interface become the technical problems to be solved urgently. In a first aspect, an embodiment of the present application provides a method for constructing a digital maintenance platform, where a preset maintenance domain model is built in a general API gateway to construct a service semantic API gateway, and a maintenance service object is used as a core input parameter of the service semantic API gateway to generate a maintenance decision index, an embedded state panel is integrated in a standard technical framework for digital maintenance, and a service operation interaction rule and a maintenance service operation entry are configured for the embedded state panel to obtain an initial embedded state panel, a matching link between panel operation and a digital maintenance standard service flow is constructed to convert the initial embedded state panel into an adaptive embedded state panel capable of dynamically displaying data, and the maintenance decision index is matched with a preset maintenance knowledge map to generate a maintenance decision path corresponding to the maintenance service object, and the maintenance decision path is pushed to the adaptive embedded state panel to construct the digital maintenance platform. The method comprises the steps of establishing a maintenance field model, integrating core business elements of industrial equipment based on business logic in a digital maintenance whole process to establish a data mapping relation between the core business elements and maintenance business objects, wherein the core business elements comprise equipment state data, historical maintenance work order data, fault diagnosis data and process parameter data, defining calculation logic and association rules of maintenance decision indexes based on the core business elements and the data mapping relation to generate a field model frame capable of adapting to maintenance business scenes, performing fusion debugging on the field model frame and data source access logic of a general API gateway, and verifying the matching of the output maintenance decision indexes and actual maintenance business requirements to complete construction and optimization of the maintenance field model. In one implementation mode of the application, a preset maintenance field model is built in the universal API gateway to construct the service semanteme API gateway, and the method specifically