Equipment management method and device, production system, computer equipment and medium

Abstract

The invention relates to the technical field of industrial internet, in particular to an equipment management method and device, a production system, computer equipment and a medium. The equipment management method comprises the following steps: acquiring equipment data of production equipment; wherein the production devices represent devices subjected to device management, and the multiple production devices are used for achieving product processing tasks in a matched mode; analyzing at least one management item of the production equipment using the equipment data to evaluate an equipment state of the production equipment; and outputting the equipment state of the production equipment. By adopting the method, the production equipment can be effectively managed, so that the efficiency and the stability of a production system can be improved.

Description

Technical Field

[0001] The present application relates to the field of industrial Internet technology, and in particular to a device management method, a device management apparatus, a production system, a computer device, and a computer-readable storage medium. Background Art

[0002] With the rapid development of information technology, there is an increasing demand for the informatization of production equipment in environments such as workshops. Traditional methods such as equipment management by specialized equipment managers have defects such as greater human influence, higher risk of inaccurate data, and low efficiency, which runs counter to the demand for equipment management efficiency and accuracy, that is, traditional methods are relatively difficult to meet the increasingly complex equipment management needs.

[0003] To this end, electronic equipment management systems have emerged, which use electronic devices to record the inventory of production equipment, basic equipment information, etc. However, as the scale of product production and processing gradually expands, the equipment management system is gradually unable to meet the needs of effective equipment management due to its lack of functions, which easily leads to low production efficiency and poor stability of the production system. Summary of the invention

[0004] Based on this, it is necessary to provide an equipment management method, an equipment management device, a production system, a computer device and a computer-readable storage medium to address the above-mentioned technical problems, which can effectively manage the production equipment to help improve the efficiency and stability of the production system.

[0005] On the one hand, a device management method is provided, which includes: acquiring equipment data of production equipment; wherein the production equipment represents equipment to be managed, and a plurality of production equipment are used to cooperate in realizing product processing tasks; using the equipment data to analyze at least one management item of the production equipment to evaluate the equipment status of the production equipment; and outputting the equipment status of the production equipment.

[0006] In one embodiment of the present application, the equipment data includes predictive data, which is equipment data of a pre-selected predictive category; using the equipment data to analyze the management items of the production equipment includes: using the predictive data to predict whether the production equipment has an abnormal trend; wherein the abnormal trend indicates that the probability that the production equipment will be in an abnormal state in the future reaches a probability threshold; in response to determining that the production equipment has an abnormal trend, determining the production equipment as an abnormal device.

[0007] In one embodiment of the present application, the equipment data includes multiple categories of equipment data; selecting a category for prediction includes: obtaining training samples of production equipment; wherein the training samples include historical data of equipment data of at least some data categories, and the equipment data of at least some data categories are selected based on operating characteristics of the production equipment; analyzing the correlation between various types of equipment data of the training samples and abnormal trends; performing dimensionality reduction processing on various types of equipment parameters of the training samples; and selecting a data category as a category for prediction based on the correlation analysis results and the dimensionality reduction processing results.

[0008] In one embodiment of the present application, analyzing the management items of production equipment using equipment data includes: judging whether the production equipment is currently in an abnormal state based on the equipment data collected in real time; and in response to determining that the production equipment is currently in an abnormal state, treating the production equipment as an abnormal device.

[0009] In one embodiment of the present application, after treating the production equipment as an abnormal equipment, it also includes: obtaining equipment information of the abnormal equipment; querying the repair spare parts that match the equipment information as the required spare parts; wherein the repair spare parts represent the spare parts required for repairing the production equipment; determining whether the required spare parts support the repair of the abnormal equipment; in response to determining that the required spare parts support the repair of the abnormal equipment, generating a repair request and repairing the abnormal equipment based on the repair request.

[0010] In one embodiment of the present application, the equipment management method also includes: obtaining inventory information of spare parts to generate a procurement plan for spare parts, and accepting spare parts purchased based on the procurement plan; and / or, discarding spare parts that meet the discard conditions; and / or, recording the outbound or inbound information of spare parts; and updating inventory information based on changes in spare parts.

[0011] In one embodiment of the present application, analyzing the management items of production equipment includes: obtaining a maintenance plan associated with the production equipment; wherein the maintenance plan includes maintenance conditions and maintenance tasks for maintaining the production equipment, and the maintenance conditions include at least one of maintenance time information and equipment data information; determining whether the production equipment meets the maintenance conditions; and in response to determining that the maintenance conditions are met, maintaining the production equipment according to the maintenance tasks.

[0012] In one embodiment of the present application, the equipment management method also includes: obtaining maintenance configuration instructions for production equipment; wherein the maintenance configuration instructions include maintenance conditions, maintenance tasks, task identifiers of maintenance tasks, and at least one of identifiers of maintenance personnel to which maintenance tasks can be assigned; creating a maintenance plan for the production equipment based on the maintenance configuration instructions; and associating the maintenance plan for the production equipment with the equipment information of the production equipment.

[0013] In one embodiment of the present application, obtaining equipment data of production equipment includes: monitoring the production equipment to obtain monitoring data of the production equipment; performing data cleaning and format conversion processing on the monitoring data to obtain equipment data; wherein the format conversion processing is used to convert the monitoring data into a preset data format.

[0014] In one embodiment of the present application, outputting the equipment status of the production equipment includes: visualizing the equipment status of the production equipment to obtain a visualization image, sending the visualization image to a display module, and instructing the display module to display the visualization image; and / or obtaining management instructions; wherein the management instructions carry the identity of the instruction party; determining whether the identity has the authority to implement the management instructions; and in response to determining that the identity has the authority to implement the management instructions, performing equipment management on the production equipment according to the management instructions.

[0015] On the other hand, an equipment management device is provided, which includes: a data module and a management module; the data module is used to connect with production equipment to obtain and store equipment data of the production equipment; wherein the production equipment represents equipment being managed; the management module is connected to the data module to implement an equipment management method as in any of the above embodiments.

[0016] In one embodiment of the present application, there are multiple management modules; wherein, at least two management modules are used to associate different management items to implement different management items; at least one management module is configured as an extensible mode, and / or, at least one management module is a preset module in a preset module set; wherein, the extensible mode indicates whether the management module can be controlled to implement the management item to which it is associated; the preset module set includes a basic subset and an extended subset; the preset modules in the basic subset are all used as management modules; the preset modules in the extended subset are optional, and when the preset modules in the extended subset are selected, they are used as management modules.

[0017] In one embodiment of the present application, each management module includes at least one management unit, and each management unit is connected to the data module respectively; when the number of management units is multiple, two management units with equipment management association are connected to each other to obtain the output of the other when performing equipment management on the production equipment.

[0018] In one embodiment of the present application, the equipment management device also includes a display module connected to the management module; the display module is used to display a visual image, and / or obtain management instructions; wherein the visual image is obtained by visualizing the equipment status of the production equipment, and the management instructions are used to indicate the equipment management performed on the production equipment.

[0019] On the other hand, a production system is provided, which includes: production equipment and an equipment management device; the equipment management device is connected to the production equipment and is used to manage the production equipment; the equipment management device includes a data module and a management module; wherein the data module is used to connect to the production equipment to obtain and store equipment data of the production equipment; the management module is connected to the data module and is used to implement an equipment management method as in any of the above embodiments.

[0020] On the other hand, a computer device is provided, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the following steps when executing the computer program: obtaining equipment data of production equipment; wherein the production equipment represents equipment to be managed, and a plurality of production equipment are used to cooperate in realizing product processing tasks; analyzing at least one management item of the production equipment using the equipment data; and outputting the equipment status evaluated by the analysis of the production equipment.

[0021] On the other hand, a computer-readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented: obtaining equipment data of production equipment; wherein the production equipment represents equipment that is subject to equipment management, and a plurality of production equipment are used to cooperate in realizing product processing tasks; using the equipment data to analyze at least one management item of the production equipment; and outputting the equipment status evaluated by the analysis of the production equipment.

[0022] The above-mentioned equipment management method, equipment management device, production system, computer equipment and computer-readable storage medium can manage production equipment with production, processing and other functions. The equipment data of the production equipment to be managed are obtained respectively, and at least one management item is analyzed based on the equipment data to evaluate the equipment status of the production equipment. In this way, the status of the production equipment can be known through the output equipment status, which is conducive to allocating production tasks according to the equipment status of the production equipment and timely obtaining abnormal information of the generating equipment, so as to effectively manage the production equipment of the production system to achieve effective regulation of the production system, which is conducive to improving the efficiency and stability of the production system. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 It is a structural schematic diagram of an embodiment of the production system of the present application;

[0024] Figure 2 It is a structural diagram of an embodiment of the equipment management device of the present application;

[0025] Figure 3 It is a structural diagram of an embodiment of the application management module;

[0026] Figure 4It is a structural schematic diagram of another embodiment of the production system of the present application;

[0027] Figure 5 It is a flowchart of an embodiment of the device management method of the present application;

[0028] Figure 6 This is a flowchart of an embodiment of the present application for creating a device management device;

[0029] Figure 7 It is a flowchart of another embodiment of the device management method of the present application;

[0030] Figure 8 It is a flowchart of the implementation of the management item analysis of this application construction;

[0031] Fig. 9 This is a flowchart of an embodiment of anomaly detection management item analysis of the present application;

[0032] Fig.10 This is a flowchart of an embodiment of abnormal prediction management item analysis of the present application;

[0033] Fig.11 This is a flowchart of an embodiment of the present application for repairing abnormal equipment;

[0034] Fig.12 It is a flow chart of an embodiment of the maintenance production equipment of the present application;

[0035] Fig.13 It is a structural schematic diagram of an embodiment of a display module of the present application;

[0036] Figure 14a-14b is a structural schematic diagram of another embodiment of the display module of the present application;

[0037] Fig.15 It is a structural diagram of an embodiment of a computer device of the present application. DETAILED DESCRIPTION

[0038] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0039] In order to solve the technical problems existing in the related art that the electronic equipment management system lacks functions and is difficult to meet the needs of effective equipment management, which easily affects the production efficiency and stability of the production system, the present application provides an equipment management method, equipment management device, production system, computer equipment and computer-readable storage medium. The equipment management method includes: obtaining equipment data of production equipment; wherein the production equipment represents the equipment to be managed, and multiple production equipment are used to cooperate to realize product processing tasks; using the equipment data to analyze at least one management item of the production equipment; and outputting the equipment status evaluated by the analysis of the production equipment. The specific architecture and detailed working principle of this application are described below with examples.

[0040] See also Figure 1 , Figure 1 It is a structural schematic diagram of an embodiment of the production system of the present application.

[0041] In one embodiment, a production system includes production equipment and an equipment management device.

[0042] Production equipment is used to collaborate and cooperate to achieve production tasks. For example, production equipment can include hardware equipment and software equipment in the workshop.

[0043] The equipment management device is connected to the production equipment and is used to manage the production equipment. The equipment management device can help realize the centralized management, real-time monitoring and intelligent analysis of information related to the production equipment, which is conducive to improving the utilization rate and management efficiency of the production equipment.

[0044] For example, the equipment management device in this embodiment can rely on information technology. With the rapid development of information technology, corresponding technical support can be provided for the equipment management device. In addition, the iterative updates and popularization of technologies such as cloud computing, the Internet of Things, and big data can also be applied to the equipment management device in this embodiment to provide a more convenient and reliable technical basis for the development and application of the equipment management device. In this way, the equipment management device can realize the diversification of production equipment management, such as remote real-time monitoring and operation and maintenance of production equipment, so as to facilitate the timely discovery and resolution of problems, thereby facilitating the improvement of production efficiency and product quality.

[0045] The specific structure and working principle of the equipment management device in this embodiment are described below by way of example.

[0046] See also Figure 2 , Figure 2 It is a structural diagram of an embodiment of the equipment management device of the present application.

[0047] In one embodiment, the device management apparatus may include a data module and a management module.

[0048] The data module is used to connect with the production equipment to obtain and store the equipment data of the production equipment, wherein the production equipment refers to the equipment to be managed.

[0049] The management module is connected to the data module and is used to implement the equipment management method to manage the production equipment. The equipment management method will be described in detail later and will not be described here.

[0050] Furthermore, please combine Figure 3 as well as Figure 4 , Figure 3 is a structural diagram of an embodiment of the application management module. Figure 4 It is a structural schematic diagram of another embodiment of the production system of the present application.

[0051] In one embodiment, the number of management modules may be multiple. The management functions of the multiple management modules may be different. In other words, at least two management modules are used to associate different management items to implement different management items. The responsibilities and functions of the multiple management modules are refined, and the functions of the equipment management device are decoupled to facilitate the separate operation and maintenance of one of the management modules, which can help improve the scalability and maintainability of the equipment management device. At the same time, compared with the equipment management device including a single management module, the operation and maintenance of the management module will affect the production process. In this embodiment, the operation and maintenance of some management modules can help reduce the impact on the on-site production process.

[0052] like Figure 4 As shown in the example, the management module may include an equipment management module, a repair management module, a maintenance management module, a spare parts management module, and a system management module. At the same time, the equipment management device may also include multiple management modules, which are used to implement different management items, such as equipment health assessment and prediction, maintenance plan optimization, abnormal prediction and preventive maintenance, real-time data collection and prompts, equipment monitoring and abnormality detection, automated maintenance task allocation, and intelligent operation and maintenance decision-making.

[0053] Optionally, at least one management module is configured as an expandable mode, and / or at least one management module is a preset module in a preset module set, thereby achieving customization of management items of the equipment management device while achieving modularization of the equipment management device.

[0054] Among them, the extensible mode means that it can control whether the management module implements the management items associated with it, which is conducive to the customization of the management items of the equipment management device, and whether the management module executes its management items can be flexibly set according to actual needs. In layman's terms, the management module of the extensible mode can control whether to execute the corresponding management items. For example, the management module associated with abnormal prediction and preventive maintenance is configured as an extensible mode, which can control whether the management module is enabled, that is, control whether the management module performs abnormal prediction and preventive maintenance. When it is configured to be enabled, the management module can perform abnormal prediction and preventive maintenance; when it is configured to be disabled, the management module does not perform abnormal prediction and preventive maintenance.

[0055] like Figure 3 As shown in the example, the preset module set may include a basic subset and an extended subset. The preset modules in the basic subset can all be used as management modules. The preset modules in the extended subset are optional, and when the preset modules in the extended subset are selected, they are used as management modules. In other words, before the device management device is packaged, the management modules included in the device management device can be selected according to actual needs. In addition, some management modules can be used as preset modules in the basic subset and loaded for each device management device. Some management modules that can be selected whether to be loaded are used as modules in the extended subset, and when the demand requires that the management module be loaded in the device management device, they are loaded in the device management device. That is, the preset modules of the basic subset and the preset modules of the extended subset are combined as needed.

[0056] That is to say, the equipment management device in this embodiment is modularized and customized. Modular equipment can improve the flexibility, scalability, maintainability, code reusability, etc. of the equipment management device, and can also improve development efficiency, and can improve the stability of the equipment management device and the production system by reducing the coupling between management items, which is conducive to the independent division, easy maintenance and expansion of each management item, so as to divide the functional modules as cleanly and completely as possible, so that a specific implementation plan can be designed for each functional module, and whether to expand the management items can be considered and decided according to production needs, user needs, enterprise needs, etc., which can improve the feasibility of the digital transformation of equipment management. At the same time, it can also provide customized functions and services according to specific needs and / or requirements, realize customized development of equipment management devices according to different management needs, simplify the operation process, and improve the ease of use and flexibility of the equipment management device, so as to meet the personalized needs of users, so as to improve the user experience. It is also conducive to precise management according to specific business needs, which can effectively improve the efficiency and efficiency of equipment management.

[0057] Furthermore, the customization of the device management device may also include functional customization, that is, customization of data format, workflow, authority control, prompts and notifications, reports, custom report rules, etc. This will be described in detail later in conjunction with the process of packaging the device management device, and will not be repeated here.

[0058] For example, data format customization means that users can record and modify the device information stored in the system according to their own needs, that is, users can customize the data fields according to their own needs. For example, you can add a custom device attribute field to record specific device information, such as purchase date, warranty period, device location, etc., to meet the customized needs of different users for device information.

[0059] Workflow customization means that it can adapt to different equipment management processes of different enterprises, and the workflow of the equipment management system can be customized according to the actual needs of users. For example, users can define the trigger conditions, approval processes, notification methods, etc. of equipment maintenance, repair, scrapping and other processes to meet the management needs of different organizations.

[0060] Business rule customization means that the business processes and rules of the system can be customized according to their own needs. For example, the customization of equipment maintenance cycle, alarm threshold, etc. can be realized by providing a rule configuration interface and a rule engine. The equipment management device can provide a rule configuration interface, allowing users to set rule conditions, actions, etc. according to their needs. At the same time, the rule engine inside the equipment management device can parse and execute custom rules to realize the automatic execution of business rules.

[0061] Customized permission control means that the permission control in the device management device can be customized according to different roles and responsibilities. For example, the system administrator can customize the access rights, operation rights, data modification rights, etc. of different users to device information to ensure the security and privacy of device information.

[0062] Customized reports mean that different reports can be generated according to different user identities. For example, different user identities such as managers and business personnel have different report requirements, such as equipment classification reports, maintenance work orders, fault rankings, different equipment usage statistics reports, maintenance record reports, etc. The equipment management device allows users to customize the content, format, display method, etc. of the report according to their own needs, so that users can generate reports that meet their own needs according to actual conditions.

[0063] Customized prompts and notifications mean that you can set different levels of prompt conditions, notification methods and recipients as needed, and define prompt processing procedures to ensure that faults can be handled in a timely manner. Among them, you can also customize prompt rules, that is, you can customize prompt rules according to the characteristics and operating conditions of production equipment to more accurately detect the equipment status of production equipment, so as to facilitate timely measures.

[0064] Furthermore, each management module may include at least one management unit, and each management unit is connected to the data module respectively, so as to further refine the management function of the management module, so as to obtain the required equipment data of the production equipment from the data module respectively, and perform analysis and evaluation of the management items. The equipment management is decomposed into a plurality of relatively independent management modules, and the management function of the management module is decomposed into a plurality of relatively independent management units. The management module and the management unit can be responsible for completing specific functions or tasks, so as to effectively reduce the complexity of the equipment management device. In addition, the coupling between different management items and between management modules is reduced through modular design. When business needs change or the equipment management device needs to be modified and updated, attention can be paid to the relevant affected management modules or management units to reduce the impact on other management modules and management units, which is conducive to simplifying the maintenance process and reducing maintenance costs.

[0065] Optionally, when the number of management units is multiple, two management units associated with equipment management are connected to each other to obtain the output of the other when the production equipment is managed. The interfaces between the various management modules and management units can be clearly defined to achieve data interaction between management units and between management modules. It is also possible to add new management units / management modules or expand existing management units / management modules when business needs require expansion by adding new management units / management modules without modifying existing codes to improve the scalability of the equipment management device. In addition, the management modules and / or management units can be tested independently to facilitate unit testing and integration testing, which is conducive to discovering and fixing problems, improving the testability of the equipment management device, and thus helping to improve the quality and stability of the equipment management device. At the same time, in the process of developing the equipment management device, different management modules or management units can be developed in parallel by team members, which is conducive to improving development efficiency and reducing the cost and risk of team collaboration.

[0066] Optionally, the management module may also obtain management instructions to manage the production equipment based on the management instructions.

[0067] Furthermore, the management module can also perform authority management and identification. Specifically, the management instruction can carry the identity of the instruction party. The management module can determine whether the identity has the authority to implement the management instruction. In response to determining that the identity has the authority to implement the management instruction, the production equipment is managed according to the management instruction.

[0068] Please continue reading Figure 3 In one embodiment, the equipment management device may further include a display module connected to the management module; the display module is used to display a visualization image and / or obtain a management instruction; wherein the visualization image is obtained by visualizing the equipment status of the production equipment, and the management instruction is used to indicate the equipment management performed on the production equipment.

[0069] Specifically, when outputting the equipment status of the production equipment, the management module can visualize the equipment status of the production equipment to obtain a visualized image. The management module can send the visualized image to the display module so that the display module can display the visualized image.

[0070] Optionally, the management instruction can also be acquired through the display module to achieve interaction between the device management apparatus and the outside world. In other words, the user can input the management instruction through the display module.

[0071] For the specific definition of the device management device, please refer to the definition of the device management method in the following text, which will not be repeated here. Each module in the above-mentioned device management device can be implemented in whole or in part by software, hardware and their combination. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

[0072] See also Figure 5 , Figure 5 It is a flowchart of the implementation of the device management method 1 of this application.

[0073] S101: Acquire equipment data of production equipment; wherein, production equipment refers to equipment that is subject to equipment management, and multiple production equipment are used to cooperate to achieve product processing tasks.

[0074] In this embodiment, the equipment data may include data that can characterize the state of the production equipment, etc. Figure 4 As shown in the example, equipment data may include equipment status data, equipment operation data, equipment maintenance data, equipment failure data, equipment care data, process parameter data, historical equipment data, equipment archive data, etc.

[0075] S102: Analyze at least one management item of the production equipment using the equipment data to evaluate the equipment status of the production equipment.

[0076] In this embodiment, in response to obtaining the equipment data of the production equipment, the equipment status of the production equipment can be evaluated based on the equipment data. Equipment management can include analysis of one or more management items, so the management items related to the production equipment can be analyzed to evaluate the equipment status of the production equipment. The management items associated with different production equipment can be the same or different, that is, there may be an intersection of management items or there may not be an intersection of management items.

[0077] S103: Output the equipment status of the production equipment.

[0078] In this embodiment, the equipment status of the production equipment is output, which is conducive to timely understanding the equipment status information of the production equipment, and timely intervention or adjustment measures based on the equipment status, which is conducive to maintaining the reliability and stability of the production system. Optionally, it can be a push notification message, or it can be a visual image output after visual processing of the equipment status, which is not limited here.

[0079] It can be seen that in this embodiment, production equipment with production, processing and other functions can be managed. The equipment data of the production equipment for equipment management is obtained respectively, and at least one management item is analyzed based on the equipment data to evaluate the equipment status of the production equipment. In this way, the status of the production equipment can be known through the output equipment status, which is conducive to allocating production tasks according to the equipment status of the production equipment and timely obtaining abnormal information of the generating equipment, so as to effectively manage the production equipment of the production system to achieve effective regulation of the production system, which is conducive to improving the efficiency and stability of the production system.

[0080] The following is an example of the process from designing a device management device to forming a device management device. The creation of a device management system can mainly include system design, functional module design, and interface specification equipment. Among them, the functional module can refer to a management module or a management unit within a management module.

[0081] See also Figure 6 , Figure 6 It is a flowchart of an embodiment of the present application for creating a device management apparatus.

[0082] S201: System design of equipment management device.

[0083] In this embodiment, the system design may include the design of the responsibilities and functions of the functional modules, the design of the dependency relationships between the functional modules, and the design of the extensibility and maintainability of the functional modules. The following is a detailed description of steps S2011 to S2013.

[0084] S2011: Design the responsibilities and functions of functional modules.

[0085] In this embodiment, the specific responsibilities and functions of each functional module can be designed in detail to ensure that the tasks of each functional module are clear and definite. Figure 4 The responsibilities and functions of the functional modules shown in the example are given as examples.

[0086] Table 1 Functional module design table

[0087]

[0088]

[0089]

[0090] S2012: Clarify the dependencies between functional modules.

[0091] In this embodiment, the dependency relationships between functional modules may be clarified, such as data transfer, calling relationships, and event triggering management.

[0092] Taking the equipment management module, maintenance management module, spare parts management module, and system management module as examples, when the production equipment is in an abnormal state and needs to be repaired, the equipment information of the production equipment (i.e., the abnormal equipment) can be obtained from the equipment management module, and the required maintenance spare parts can be queried from the spare parts management information based on the equipment information of the abnormal equipment as the required spare parts. The equipment information of the abnormal equipment and the information such as inventory of the required spare parts are fed back to the maintenance management module as maintenance request information, and the maintenance management module performs maintenance management based on this. In this process, the system management module can provide the corresponding configuration relationship due to the management system configuration.

[0093] That is to say, the equipment management module can provide basic information of production equipment, that is, equipment information, so the equipment management module can interact with other management modules to provide information as the basis for repair, maintenance and spare parts management. When production equipment is abnormal, fails, etc., the maintenance management module can file a repair work order based on the maintenance request information, and interact with the equipment management module to obtain equipment information. It can also interact with the spare parts management module to ensure that the spare parts required for maintenance are available. The spare parts management module can manage spare parts inventory, update spare parts inventory, etc., and cooperate with the equipment maintenance management module to ensure that spare parts can be supplied in time when needed. The maintenance management module can formulate maintenance plans, generate maintenance tasks, and remind relevant personnel to perform maintenance tasks based on the equipment information provided by the equipment management module. The system management module can manage the overall configuration of the system, including department and personnel management, role management, equipment type management, etc., and provide necessary system support for other modules.

[0094] S2013: Design of scalability and maintainability of functional modules.

[0095] In this embodiment, considering the future expansion requirements and changes of the equipment management apparatus, a module structure with good scalability and maintainability can be designed.

[0096] Taking the equipment maintenance management module as an example, based on the modular design concept, the maintenance management function can be divided into multiple independent management units, such as maintenance plan formulation, maintenance task allocation, maintenance execution record, maintenance result evaluation, etc. The management unit can be responsible for a single responsibility, reducing the coupling between the management unit and the management item.

[0097] If so, the maintenance process can be designed to automatically generate a maintenance plan based on the maintenance strategy and configuration information of the production equipment, store the maintenance plan in the database, and notify the relevant maintenance personnel. According to the maintenance plan and the availability of maintenance personnel, maintenance tasks are assigned, the maintenance personnel are notified of the task assignment, and the task assignment information is recorded. After the maintenance personnel perform the maintenance task, the maintenance results are recorded and the validity of the maintenance results is verified. When the maintenance results are verified to be valid, the equipment status is updated. The maintenance results can also be evaluated regularly and the effectiveness of the maintenance work can be analyzed, so that the maintenance strategy or configuration parameters can be adjusted according to the evaluation results. A configuration interface or API (Application Programming Interface) can also be provided to allow users to set parameters such as maintenance cycle, maintenance content, and maintenance personnel. Among them, the configuration information related to maintenance can be saved in the configuration file and loaded into the memory when the system starts.

[0098] Furthermore, the maintenance management module can also be designed for automated maintenance, thereby achieving mechanical automatic maintenance and reducing the participation of maintenance personnel, which is not limited here.

[0099] S202: Functional module design.

[0100] In this embodiment, the function module device may include the interface definition of the function module, the internal implementation of the function module, and the interface call between the function modules. The following takes the maintenance management module as an example, and exemplifies steps S2021 to S2023.

[0101] S2021: Interface definition of functional modules.

[0102] In this embodiment, the interface provided by each functional module to the outside can be defined in detail, such as input parameters, output parameters, return results, etc. An API document or an interface specification document is used to describe the usage and format of each interface.

[0103] For example, when creating a maintenance plan interface, the input parameters may include the unique identifier of the production equipment, maintenance plan details such as maintenance cycle, maintenance content, maintenance date, etc. The return result (i.e., output parameter) may include success or failure in creating the plan, the maintenance task allocation interface, the unique identifier of the maintenance plan, and the list of unique identifiers of the assigned maintenance personnel. The return result may also include a list of successfully assigned tasks or messages or error messages, such as the plan does not exist, insufficient personnel, etc.

[0104] S2022: Implementation of management items of functional modules.

[0105] In this embodiment, the internal implementation logic of the functional module may be described in detail. One functional module may implement one management item, or multiple functional modules may cooperate to implement one management item.

[0106] For example, design the data structure, algorithm, process control, etc. of the functional module.

[0107] For example, the data structure may include basic equipment information and detailed information on maintenance plans.

[0108] Algorithms and process controls may include using databases or in-memory data structures to store information about equipment, maintenance plans, and maintenance tasks; when creating a maintenance plan, the validity of input parameters can be verified and a new maintenance plan record can be generated; when assigning maintenance tasks, tasks are generated and assigned based on the maintenance plan and the availability of maintenance personnel; and transaction processing is used to ensure data consistency and integrity.

[0109] S2023: Interface calls between functional modules.

[0110] In one embodiment, the interface calling method and parameter transfer specification between the functional modules can be designed to ensure that the data exchange between the functional modules is effective and correct. The communication method between the functional modules can also be described through timing diagrams, interface calling examples, etc., to effectively identify unreasonable design and abnormal design of interface calling relationships.

[0111] For example, the interface call between the equipment management module and the maintenance management module can be designed so that when the maintenance management module creates a maintenance plan, it needs to call the equipment management module to verify whether the production equipment exists. Through the API interface call, the unique identifier of the production equipment is passed as a parameter. Ensure that the format of the equipment unique identifier is correct and meets the requirements of the equipment information management module.

[0112] S203: Interface specification design.

[0113] In this embodiment, the interface specification design may include the design of the protocol and format of data exchange, the specification of control commands, the conditions and processing methods of event triggering, etc. The following is a detailed description through steps S2031 to S2033.

[0114] S2031: Data exchange protocol and format design.

[0115] In this embodiment, the protocol and format of data exchange between modules can be defined, for example, the definition of data structure, encoding and decoding specifications of data transmission, etc. Formulating a relatively unified data format standard is conducive to ensuring the consistency of data exchange.

[0116] For example, JSON (JavaScript Object Notation, a lightweight data exchange format) can be used as the encoding format for data exchange. After receiving the data in JSON format, the receiver can parse it according to the JSON specification and extract the required data elements. The data exchanged between functional modules must follow the data structure defined by the interface to ensure the consistency and accuracy of data exchange.

[0117] S2032: Control command specifications.

[0118] In this embodiment, the format and calling specifications of the control commands between functional modules can be defined to facilitate reliable command transmission between different functional modules. Relatively unified command standards and calling specifications can be formulated. For example, the control command can include a command type field to identify the specific type of command, such as "create a maintenance plan", "update maintenance task status", etc. The calling specification can use a standardized request method, which can include a request header, a request body, a response body, and command parameters, such as HTTP (Hypertext Transfer Protocol) request method, Token authentication information, and command parameter JSON object.

[0119] S2033: Design event triggering conditions and processing methods.

[0120] In this embodiment, the conditions and processing methods for event triggering between modules can be defined, such as event definition, triggering conditions and processing flow, etc. An event-driven architecture is designed to implement event notification and processing between modules.

[0121] For example, the event definition can be a maintenance plan creation event. It is triggered when a new maintenance plan is successfully created. When the maintenance plan of the production equipment is triggered, the maintenance task allocation event can be based on the maintenance task, and it is triggered when the maintenance task is assigned to a maintenance personnel. Maintenance task execution completion event. It is triggered when the maintenance task is completed and the status is updated to "completed". The trigger condition design can be that the trigger condition of the maintenance plan creation event is "received a valid maintenance plan creation request and successfully saved to the database". The processing flow design can include designing an event-driven architecture to ensure that the corresponding processing logic can be automatically triggered when an event occurs. The processing logic includes event reception, verification, processing and response. The receiving step is responsible for receiving event notifications; the verification step verifies the legitimacy and validity of the event; the processing step executes the corresponding business logic according to the event type; the response step refers to sending the processing results to the subscribers of the event. The event notification mechanism is implemented by using message queues, event buses or HTTP callbacks.

[0122] It can be seen that in this embodiment, on the basis of modular design, the equipment management device provides a customized configuration function, allowing users to provide personalized, flexible, accurate, and cost-effective solutions according to their own needs, so as to meet the specific needs and expectations of users and realize system customization. Personalization means that customized products or services can be provided according to the personalized needs and preferences of users, so as to better meet the needs of users. Flexibility means that it can be flexibly adjusted and customized according to the specific needs of users, meet the specific needs of users, and provide solutions that are more in line with the needs of users. Accuracy means that it can be customized to provide more accurate solutions, such as customization according to the specific needs of users, reducing the risk of unnecessary functional waste, and improving the practicality and efficiency of products or services. Cost-effectiveness means that customization can reduce users from paying unnecessary fees, provide functions and services required by users, and reduce costs to improve cost performance. Customization can meet specific needs and requirements, provide personalized solutions, which is conducive to improving user experience and user satisfaction, improving the efficiency and productivity of equipment management and production systems, and also conducive to improving the practicality and efficiency of products or services.

[0123] See also Figure 7 , Figure 7 It is a flow chart of another embodiment of the device management method of the present application.

[0124] S301: Acquire equipment data of production equipment.

[0125] In this embodiment, the device data may include prediction data, wherein the prediction data may be device data of a selected prediction category.

[0126] For example, the equipment data may include equipment data of multiple data categories. When selecting a prediction category, a training sample of the production equipment may be obtained. The training sample includes historical data of equipment data of at least some data categories, and the equipment data of at least some data categories is selected based on the operating characteristics of the production equipment.

[0127] In this way, the correlation between various types of equipment data of the training samples and abnormal trends can be analyzed; the dimensionality reduction processing can be performed on various types of equipment parameters of the training samples; based on the correlation analysis results and the dimensionality reduction processing results, the data category is selected as the prediction category.

[0128] S302: Use the prediction data to predict whether there is an abnormal trend in the production equipment.

[0129] In this embodiment, the abnormal trend may indicate that the probability of the production equipment being in an abnormal state in the future reaches a probability threshold. The probability threshold is a pre-set probability value. When the probability of the production equipment being in an abnormal state in the future reaches the probability threshold, it is considered that the risk of abnormality, failure, etc. of the production equipment in the future is high.

[0130] When the predictive data is used to predict the existence of abnormal trends in the production equipment, execute step S304; when the predictive data is used to predict the existence of no abnormal trends in the production equipment, execute step S303 or terminate the process of analyzing abnormal management items based on the current equipment data, which is not limited here.

[0131] That is to say, in this embodiment, it is possible to predict whether the production equipment will be in an abnormal state in the future, so as to promptly resolve the risk of potential abnormalities in the production equipment, reduce the risk of the production equipment being in an abnormal state, and facilitate the reliable operation of the production equipment, thereby improving the reliability and stability of the production system.

[0132] S303: Determine whether the production equipment is currently in an abnormal state.

[0133] In this embodiment, when it is determined that the production equipment is currently in an abnormal state, step S304 is executed; when it is determined that the production equipment is not currently in an abnormal state, the current equipment state of the production equipment is considered to be normal, and step S302 can be executed or the process of analyzing abnormal management items based on the current equipment data can be ended, which is not limited here.

[0134] In this embodiment, whether the production equipment is currently in an abnormal state can be judged based on the equipment data collected in real time, so as to realize real-time status monitoring of the production equipment.

[0135] It should be noted that, unlike step S302, step S303 detects whether the production equipment is currently in an abnormal state, while step S302 predicts whether the production equipment will become abnormal. S304: Determine the production equipment as an abnormal device.

[0136] In this embodiment, in response to determining that the production equipment has an abnormal trend, that is, it is believed that the production equipment may be about to have an abnormal situation, the production equipment is determined to be an abnormal device, and the production equipment is managed through abnormal prediction, and the possible abnormal situation is known in advance, which is conducive to timely intervention and resolution of abnormal risks.

[0137] S305: Obtain device information of the abnormal device.

[0138] In this embodiment, the device information of the abnormal device can be obtained. The device information can identify the production device as the abnormal device. For example, the device information can include a device identifier, a device identification number, etc., which are not limited here.

[0139] S306: Query the maintenance spare parts matching the equipment information as the required spare parts.

[0140] In this embodiment, the maintenance spare parts refer to the spare parts required for maintenance of production equipment. The equipment management device can manage maintenance spare parts and production equipment at the same time, and can manage the maintenance spare parts required for maintenance of multiple production equipment, and associate the maintenance spare parts with the equipment information of the production equipment that can be repaired. In this way, when an abnormal device appears, the maintenance spare parts suitable for repairing it can be queried based on the equipment information of the abnormal device, and the queried maintenance spare parts are used as the required spare parts.

[0141] S307: Determine whether the required spare parts support repairing the abnormal equipment.

[0142] In this embodiment, when it is determined that the required spare parts support the repair of the abnormal device, step S308 is executed; when it is determined that the required spare parts are insufficient to support the repair of the abnormal device, step S309 is executed.

[0143] For example, based on the inventory of required spare parts, the categories of required spare parts, etc., it can be determined whether the current number of required spare parts is sufficient to support the maintenance of abnormal equipment.

[0144] S308: Generate a maintenance request and repair the abnormal device based on the maintenance request.

[0145] In this embodiment, in response to determining that spare parts support is required to repair the abnormal device, a repair request is generated, and the abnormal device is repaired based on the repair request.

[0146] To repair abnormal equipment, the equipment management device can automatically repair the abnormal equipment; or the equipment management device can automatically create a maintenance plan and assign maintenance tasks or divide maintenance resources based on the maintenance plan, etc., which is not limited here. The specific maintenance method will be explained with examples in the following text and will not be repeated here.

[0147] S309: Feedback does not support maintenance information.

[0148] In this embodiment, in response to determining that the required spare parts do not support the repair of the abnormal equipment, feedback is provided indicating that the repair is not supported, so that relevant personnel can promptly understand the situation where the abnormal equipment cannot be repaired, and understand and resolve the current situation.

[0149] S310: Obtain the maintenance plan associated with the production equipment.

[0150] In this embodiment, automatic maintenance of production equipment can also be achieved. Specifically, the maintenance plan may include maintenance conditions and maintenance tasks for maintaining production equipment, and the maintenance conditions may include at least one of maintenance time information and equipment data information. The maintenance time information may include frequency, cycle, number of times, etc., which are not limited here. The equipment data information indicates that it is possible to judge whether the production equipment currently needs maintenance based on the equipment data.

[0151] S311: Determine whether the production equipment meets the maintenance conditions.

[0152] In this embodiment, when it is determined that the production equipment meets the maintenance conditions, step S312 can be executed; when it is determined that the production equipment does not meet the maintenance conditions, step S301 can be re-executed or the process ends.

[0153] S312: Perform maintenance on production equipment according to maintenance tasks.

[0154] In this embodiment, in response to determining that the maintenance conditions are met, the production equipment can be maintained according to the maintenance task. The production equipment can be maintained mechanically, that is, the equipment management device maintains the production equipment; or the equipment management device creates and assigns the maintenance task, as described above, which will not be repeated here.

[0155] Furthermore, as described above in this embodiment, the equipment management device can manage the maintenance spare parts. The following is an example of a specific maintenance spare parts management method.

[0156] In this embodiment, the inventory information of the maintenance spare parts can be obtained to generate a procurement plan for the maintenance spare parts, and the maintenance spare parts purchased based on the procurement plan can be inspected and accepted; and / or, the maintenance spare parts that meet the discard conditions are discarded; and / or, the outbound or inbound information of the maintenance spare parts is recorded. In this way, the inventory information can be updated based on the changes in the maintenance spare parts. While managing the production equipment, the maintenance spare parts required for repairing the production equipment can also be managed together, further improving the functionality of the equipment management device.

[0157] See also Figure 8 , Figure 8 It is a flowchart of the implementation of management item analysis one of this application construction.

[0158] In this embodiment, the construction and application process of management item analysis may include: data collection and transmission, data cleaning processing and format conversion processing, data analysis modeling and algorithm design selection, model application and optimization process.

[0159] Specifically, in the data collection and transmission stage, the equipment operation data, equipment status data, fault codes, maintenance records, operation logs, etc. of the production equipment can be collected in real time through sensors, detection equipment, etc. The real-time data and historical data obtained from the production equipment are transmitted to the data module for subsequent management item analysis and processing. If the effective data collection and transmission process can be used, the equipment data related to the equipment status can be obtained in time for subsequent monitoring, diagnosis and predictive analysis, which is conducive to improving the reliability and production efficiency of the production equipment.

[0160] After data collection and transmission are completed, the raw data collected from the production equipment can be cleaned and format converted. This can include data cleaning for missing values, abnormal values, duplicate values, etc. Data cleaning content can include removing duplicate data, filling missing values, identifying and processing abnormal data, etc., to ensure data quality and availability.

[0161] Data analysis modeling and algorithm design selection include data conversion, data analysis, data modeling and algorithm design selection.

[0162] Data conversion, including data format conversion, data structure adjustment, etc. Data format conversion is to convert different types of data (such as text, numbers, dates, etc.) into a unified data type to standardize or normalize the data. For example, time series data can be converted into feature vectors.

[0163] Data structure adjustment can be to reorganize, merge and split data. Data reorganization can reorganize and combine original data according to specific rules to generate new data sets; data merging can merge data from multiple data sources into one data set for overall analysis; data splitting can split a data set into multiple subsets for separate processing and analysis.

[0164] After completing data cleaning and preprocessing and data conversion, the data can be analyzed. Data analysis can include descriptive statistics, correlation analysis, and data visualization.

[0165] Among them, descriptive statistical analysis can describe the characteristics of data through statistical indicators such as mean, standard deviation, distribution, etc. Correlation analysis can analyze the correlation between different variables and find out the key factors affecting the operation of production equipment. Data visualization means that visualization tools such as charts and graphs can be used to display equipment data, equipment status, etc., so as to help users understand the data more intuitively. Data modeling and algorithm design selection can include feature selection, model selection, model training and model evaluation. Feature selection means selecting features that are meaningful for modeling and eliminating irrelevant or redundant features; model selection means selecting appropriate modeling methods according to specific problems, such as linear regression, decision tree, neural network, etc.; model training means using historical data to train the selected model and adjust the model parameters to achieve optimal performance; model evaluation means evaluating the performance of the model through evaluation indicators such as accuracy, precision, recall, etc.

[0166] See also Fig. 9 , Fig. 9 This is a flow chart of an embodiment of the abnormal detection management item analysis of the present application. In this embodiment, a CNC milling machine in a workshop is taken as an example to illustrate three aspects: real-time data collection and prompt function, abnormal prediction and preventive maintenance, and equipment detection and abnormal detection.

[0167] S401: Monitor production equipment to obtain real-time collected monitoring data.

[0168] In this embodiment, the equipment data may include processing parameter data, temperature data, fault code data, and time data. Sensors, monitoring equipment, etc. may be installed to monitor various parameter data of the CNC milling machine, such as processing parameters, machine tool status, tool status, environmental data, etc., and the real-time collected monitoring data may be used as equipment data. The collected data may be transmitted to a data center, etc. through a network, a physical link, etc. for real-time storage, so as to facilitate the review of business personnel and developers, and also facilitate the subsequent analysis and processing of related data. The data module of the equipment management device is capable of receiving the real-time collected equipment data for equipment management.

[0169] Furthermore, data visualization technology can be used to display real-time data in the form of charts, dashboards, etc. on the monitoring interface, making it convenient for managers, business personnel and operators to monitor the status of CNC milling machines in real time.

[0170] For example, when monitoring and collecting equipment data of a workshop CNC milling machine, environmental data, tool status data, processing parameter data, machine status data, fault code data, and time data can be collected. For example, tool speed, feed speed, processing depth, machine position data, axial force, machine status data, temperature data, tool status data, tool wear, tool offset data, lubricating oil pressure data, alarm code, and timestamp data for recording data collection.

[0171] S402: Perform data cleaning on the monitoring data collected in real time.

[0172] In this embodiment, the acquired processing parameter data, machine tool status data, tool status data, environmental data, fault code data, time data, etc. can be processed and converted, and data cleaning can be performed on missing values, abnormal values, duplicate values ​​and other problems in the data to remove duplicate data, fill missing values, and identify and process abnormal data.

[0173] Specifically, data cleaning processing can include removing duplicate values, filling missing values, identifying and processing abnormal data, word segmentation and removing stop words, timestamp parsing and time feature extraction, etc.

[0174] S403: Perform format conversion processing on the monitoring data collected in real time.

[0175] In this embodiment, the rotation speed data, feed speed data, processing depth data, position data, axial force data, temperature data, tool wear, tool offset data, lubricating oil pressure data, fault alarm code, timestamp, etc. can be converted into a unified data type, and the relevant data can be converted into feature vectors to achieve data standardization and normalization.

[0176] S404: Evaluate the equipment status of the production equipment based on the equipment data collected in real time.

[0177] In this embodiment, the reasonable range and prompt threshold of each parameter can be pre-set according to the working characteristics and technical requirements of the CNC milling machine. In this way, the device data collected by real-time monitoring can be compared with the set prompt threshold, and when the device data exceeds the pre-set range, the prompt mechanism is triggered.

[0178] According to different prompt levels, alarm prompts can be given by sound, text message, or email. When an abnormal prompt of production equipment occurs, the equipment management device can display the alarm information and alarm type in a timely manner. In addition, different faults can be mapped to different alarm types, and the prompt processing priority can be distinguished according to the urgency pre-set by the equipment management device. Operators can handle the faults according to the corresponding processing procedures of different faults based on different prompt types and urgency, and set up emergency plans to ensure timely processing and troubleshooting. At the same time, the equipment management device can record detailed information of the alarm event, such as alarm time, alarm parameters, processing results, etc., to facilitate subsequent analysis and improvement of related data.

[0179] See also Fig.10 , Fig.10This is a flow chart of an embodiment of abnormal prediction management item analysis of the present application. In this embodiment, a workshop CNC machine tool is taken as an example to describe the process of abnormal prediction and preventive maintenance from construction to application.

[0180] S501: Acquire monitoring data of production equipment.

[0181] In this embodiment, the production equipment may be monitored to obtain monitoring data of the production equipment.

[0182] For example, vibration data, temperature data, current and voltage data, lubrication system data, processing parameter data, fault code data, and operation records and maintenance logs can be selected based on the operating characteristics of the CNC machine tools in the workshop.

[0183] Specifically, the operating status of the machine tool and the wear of the mechanical parts can be monitored through vibration data. Monitor the temperature data of each component of the CNC milling machine, such as the spindle temperature, motor temperature, etc., to predict the overheating of the machine tool components. Monitor the operating status of the electrical system and predict possible electrical failures. Lubricating oil pressure, lubricating oil temperature, etc. can be collected to predict whether the lubrication system is operating normally. Collect the processing parameter data of the CNC milling machine, such as cutting force, feed speed, spindle speed, etc., analyze the load during the processing, and predict tool wear and reduced processing accuracy. Monitor the alarm code and fault information of the CNC milling machine to help predict the possible fault type and frequency. Collect the operation records and maintenance logs of the CNC milling machine to predict possible faults based on historical data.

[0184] S502: Perform data cleaning on the monitoring data.

[0185] In this embodiment, the acquired vibration data, temperature data, current and voltage data, lubrication system data, processing parameter data, fault code data, operation records and maintenance logs are processed and converted, and data cleaning is performed on missing values, abnormal values, duplicate values ​​and other issues, duplicate data is removed, missing values ​​are filled, abnormal data is identified and processed, word segmentation and stop word removal operations are performed, and timestamps are parsed and time features are extracted.

[0186] S503: Perform format conversion processing on the monitoring data.

[0187] In this embodiment, the format conversion process is used to convert the monitoring data into a preset data format.

[0188] S504: Data analysis, modeling and algorithm selection.

[0189] In this embodiment, the sensor data types that need to be monitored can be determined according to business needs and the working principle and mechanical structure of the CNC milling machine, such as current and voltage data, processing parameter data, operation records and maintenance logs. These equipment data can provide relevant important information about the equipment status and operation status to achieve feature extraction. The most relevant features can be selected from the original data using correlation analysis methods and principal component analysis methods (i.e., dimensionality reduction processing) to remove redundant and irrelevant features to achieve feature selection. The selected features are transformed using standardization and normalization methods to meet the needs of the modeling algorithm, thereby achieving feature conversion. New features can also be constructed by combining original features, calculating the correlation between features, etc., to enhance the expression ability of the model to achieve the purpose of feature construction. In the actual application of feature engineering, feature engineering can also be continuously iterated, adjusted and optimized in combination with business needs and data characteristics to carry out feature engineering practice.

[0190] Furthermore, the neural network architecture design can be selected according to business needs and the characteristics of the CNC milling machine data in the workshop. For example, the RoBERTa (Robustly optimizedBERT approach) model and the T5 (Text-to-Text Transfer Transformer) model can be selected as the fault prediction and preventive maintenance algorithm models. Among them, the RoBERTa model and the T5 model are respectively a natural language model.

[0191] Specifically, the RoBERTa model can be used to extract features and learn representations of equipment data, convert the equipment data into a representation that the model can understand, and input the extracted features into the T5 model for training to learn the patterns and rules of fault prediction and preventive maintenance tasks.

[0192] S505: Apply and train the data analysis model.

[0193] In this embodiment, the historical data of the device data of the above data categories can be used to train the data analysis model. That is, the historical data is used as a training set to input the data analysis model for training. The model is evaluated through confusion matrix, ROC curve (Receiver Operating Characteristic curve), etc., the trained model is evaluated using the test set, and the accuracy, recall rate, F1 value and other indicators are calculated to evaluate the performance of the model. Among them, the F1 value (F1 Score) is an indicator used in statistics to measure the accuracy of the binary classification model, which can be combined with the precision (Precision) and recall rate (Recall) to evaluate the performance of the data analysis model.

[0194] During the training process, the data analysis model can be fine-tuned to adapt to specific fault prediction and preventive maintenance tasks to improve the performance of the data analysis model. A dataset can be prepared for fine-tuning, and the fine-tuning dataset can also be real historical data. Specifically, you can select a pre-trained T5 model and load the model's weight parameters, define the input and output format of the fine-tuning task, ensure that the dataset is compatible with the model input, input the prepared dataset into the T5 model, adjust the model parameters through the back-propagation algorithm, use the validation set or test set to evaluate the performance of the fine-tuned model, check the performance of the model on new data, and adjust the hyperparameters in the fine-tuning process according to the evaluation results, such as learning rate, batch size, etc., to further improve the model performance. After fine-tuning is completed, save the fine-tuned model weights for subsequent reasoning or deployment.

[0195] S506: Deploy the optimized data analysis model to evaluate the equipment status of the production equipment based on the equipment data of the production equipment.

[0196] In an embodiment, the trained data analysis model can be deployed in a production environment to monitor the data of the CNC milling machine in the workshop in real time, and perform fault prediction and preventive maintenance. When the model detects an abnormal situation, a prompt notification is sent to the relevant personnel in a timely manner.

[0197] S507: Update the data analysis model using real future trends.

[0198] In this embodiment, the deployed data analysis model can be monitored and continuously optimized, and the model can be updated and improved according to actual conditions to ensure the accuracy and stability of the data analysis model.

[0199] That is to say, the data collection and transmission process in this embodiment can collect and transmit equipment data. The collected equipment data can include real-time temperature data, pressure data, current and voltage data, vibration data of sensors, equipment operation status data such as the switch status, operation time, operation mode, load condition, etc. of the equipment, equipment maintenance records such as the maintenance history, repair records, and maintenance conditions of the equipment, such as data of the surrounding environment of the equipment, such as temperature, humidity, air pressure, etc., process parameters of production equipment, such as set temperature, set pressure, set speed, etc., fault alarm information and alarm history, and equipment connection status.

[0200] The collected relevant data can be cleaned and preprocessed, and data cleaning can be performed on missing values, abnormal values, duplicate values, etc., to remove duplicate data, fill missing values, and identify and process abnormal data. Use the data analysis model as the equipment status monitoring and diagnosis function algorithm model to perform status monitoring and fault diagnosis tasks. Data analysis model deployment and real-time monitoring and continuous tuning, that is, deploy the trained neural network model to the production environment, monitor the data of the CNC milling machine in real time, and perform equipment status monitoring and diagnosis functions. When the model detects an abnormal situation, it will send an early warning notification to the relevant personnel in a timely manner. Monitor and continuously optimize the deployed model, update and improve the model according to the actual situation, and ensure the accuracy and stability of the model.

[0201] See also Fig.11 , Fig.11 This is a flow chart of an embodiment of the present application for repairing abnormal equipment. Some of the contents have been described in detail in the previous text and will not be repeated here.

[0202] S601: Acquire device information of abnormal devices from a device management module.

[0203] S602: Obtaining information of required spare parts from the spare parts management module based on the equipment information.

[0204] S603: The maintenance management module initiates a maintenance request based on the equipment information and the information of the required spare parts.

[0205] S604: Cancel the maintenance request.

[0206] S605: Return the maintenance request.

[0207] S606: The maintenance management module assigns maintenance tasks.

[0208] S607: Start repairing abnormal equipment.

[0209] S608: Suspend maintenance of abnormal equipment.

[0210] S609: Restore and repair the abnormal equipment.

[0211] S610: Repair of abnormal equipment is completed.

[0212] S611: Determine whether the abnormal equipment can pass the acceptance.

[0213] In this embodiment, when it is considered that the abnormal device can pass the acceptance, step S612 can be executed; when it is considered that the abnormal device cannot pass the acceptance, step S613 can be executed.

[0214] S612: Determine whether the abnormal device has returned to normal.

[0215] S613: Determine that the abnormal equipment fails the acceptance.

[0216] S614: Apply for outsourcing.

[0217] S615: Conduct outsourcing approval.

[0218] S616: Outsourced abnormal equipment repair.

[0219] S617: Outsourcing completed.

[0220] That is to say, in this embodiment, when the equipment information of the abnormal equipment and the related information of the repair parts are used as the repair request information, the repair management module can also have operations such as canceling the repair request and returning the repair request after initiating the repair request. In addition, in the process of repairing the abnormal equipment, it is also possible to introduce external cooperation to carry out equipment repair, as shown in steps S614 to S617. At the same time, in the process of repairing the abnormal equipment, it is also possible to support the suspension and resumption of the repair process, that is, as shown in steps S608 to S609.

[0221] It should be noted that Fig.11 The dashed box in the middle represents a process step that may exist but does not necessarily exist in the actual abnormal equipment maintenance process. At the same time, the suspension maintenance process and the resumption maintenance process shown as examples in steps S608 to S609 can be executed multiple times according to needs and are not limited here.

[0222] See also Fig.12 , Fig.12 It is a flowchart of an embodiment of the present application for maintaining production equipment. It should be noted that in this embodiment, the generation and implementation process of the maintenance plan are described by example, wherein steps S701 to S702 describe the process of configuring the maintenance plan for production equipment, and steps S703 to S706 describe the process of determining whether to perform maintenance on the equipment after obtaining the equipment data during the production equipment management process.

[0223] S701: The maintenance management module obtains maintenance configuration instructions for production equipment.

[0224] In this embodiment, the maintenance configuration instruction includes at least one of a maintenance condition, a maintenance task, a task identifier of the maintenance task, and an identifier of a maintenance personnel to which the maintenance task can be assigned.

[0225] S702: Create a maintenance plan for the production equipment based on the maintenance configuration instruction.

[0226] In this embodiment, a maintenance plan for production equipment can be created based on maintenance configuration instructions, and the maintenance plan can also be associated with equipment information of the production equipment to automatically identify the maintenance plan and evaluate whether to perform maintenance during the production equipment management process.

[0227] S703: Obtain equipment information of production equipment from the equipment management module.

[0228] S704: Obtain a maintenance plan for the production equipment based on the equipment information.

[0229] S705: Determine whether the production equipment meets the maintenance conditions.

[0230] In this embodiment, when it is determined that the production equipment meets the maintenance conditions, it can be considered that the production equipment requires maintenance, and step S706 is executed; when it is determined that the production equipment does not meet the maintenance conditions, it can be considered that the production equipment does not yet require maintenance, and step S705 is executed or the process ends, which is not limited here.

[0231] S706: Perform maintenance on production equipment according to maintenance tasks.

[0232] See also Fig.13 and Figure 14, Fig.13 is a schematic diagram of the structure of an embodiment of a display module of the present application, Figure 14a-14b It is a structural schematic diagram of another embodiment of the display module of the present application.

[0233] in, Fig.13 The example shows that computers (such as Fig.13 The page function display of the display module on the web (WorldWide Web, Global Wide Area Network) side of computers such as the example shown in the figure), mobile phones, etc., includes home page chart, equipment management module, repair management module, maintenance management module, spare parts management module, and system management module.

[0234] Optionally, the display module may display visual images including chart display, large screen display, mobile display, data display, etc. The display module may also support visual interaction.

[0235] Figure 14 shows an example of the page function display on the mini program side. Take the functions displayed on the page including equipment maintenance and equipment management as an example for illustration. The equipment maintenance content may include: repair report, my repair report, rejected, dispatched, pending repair, under repair, pending acceptance, acceptance passed, acceptance failed, all repair orders, outsourcing work orders and other functions. The equipment management content may include: equipment ledger, equipment transfer, equipment disposal, transfer record disposal record, purchase application in spare parts management, warehousing, outbound, old parts scrapping, spare parts inventory, purchase order, warehousing order, scrapping order and other functions.

[0236] In summary, the present application realizes the modular and customized design of the equipment management device so that the appropriate combination of management modules can be selected according to the needs. The equipment management device can be applied to application scenarios such as manufacturing industry, energy industry, logistics industry, etc. that require production equipment management. For example, it can be applicable to application scenarios where there are many types of production equipment and the equipment operation status needs to be monitored in real time. The modular and customized equipment management system can also be applied to application scenarios that require comprehensive management of equipment, improve equipment utilization, and reduce maintenance costs to meet different intelligent, digital, and visualization needs, thereby promoting the digital transformation of production systems and even their affiliated enterprises.

[0237] It should be understood that although Figure 5-Figure 12 The steps in the flowchart are shown in sequence as indicated by the arrows, but these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise specified in this document, there is no strict order restriction for the execution of these steps, and these steps can be executed in other orders. Moreover, Figure 5-Figure 12 At least part of the steps may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily executed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be executed in turn or alternately with other steps or at least part of the sub-steps or stages of other steps.

[0238] In one embodiment, a computer program product is provided, including a computer program. When the computer program is executed by a processor, the steps of the device management method described above are implemented, which will not be described in detail here.

[0239] See also Fig.15 , Fig.15 It is a structural diagram of an embodiment of a computer device of the present application.

[0240] In one embodiment, the computer device may be a server or a terminal device, etc.

[0241] The internal structure diagram of a computer device can be shown as Fig.15As shown. The computer device includes a processor, a memory, a network interface and a database connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store device data. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a device management method is implemented.

[0242] Those skilled in the art will understand that Fig.15 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0243] In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the following steps may be implemented:

[0244] S101: Acquire equipment data of production equipment; wherein, production equipment refers to equipment that is subject to equipment management, and multiple production equipment are used to cooperate to achieve product processing tasks.

[0245] S102: Analyze at least one management item of the production equipment using the equipment data to evaluate the equipment status of the production equipment.

[0246] S103: Output the equipment status of the production equipment.

[0247] In one embodiment, the equipment data includes predictive data, which is equipment data of a pre-selected predictive category; when the equipment data is used to analyze the management items of the production equipment, the processor can also implement the following steps when executing the computer program: using the predictive data to predict whether the production equipment has an abnormal trend; wherein the abnormal trend indicates that the probability that the production equipment will be in an abnormal state in the future reaches a probability threshold; in response to determining that the production equipment has an abnormal trend, the production equipment is determined to be an abnormal device.

[0248] In one embodiment, the equipment data includes equipment data of multiple data categories; when selecting a category for prediction, the processor can also implement the following steps when executing the computer program: obtaining training samples of production equipment; wherein the training samples include historical data of equipment data of at least some data categories, and the equipment data of at least some data categories are selected based on the operating characteristics of the production equipment; analyzing the correlation between various types of equipment data of the training samples and abnormal trends; performing dimensionality reduction processing on various types of equipment parameters of the training samples; and selecting a data category as a category for prediction based on the correlation analysis results and the dimensionality reduction processing results.

[0249] In one embodiment, when the management items of the production equipment are analyzed using the equipment data, the processor may also implement the following steps when executing the computer program: based on the equipment data collected in real time, determine whether the production equipment is currently in an abnormal state; in response to determining that the production equipment is currently in an abnormal state, treat the production equipment as an abnormal device.

[0250] In one embodiment, after treating the production equipment as an abnormal equipment, the processor may further implement the following steps when executing the computer program: obtaining equipment information of the abnormal equipment; querying repair spare parts that match the equipment information as required spare parts; wherein the repair spare parts represent spare parts required for repairing the production equipment; determining whether the required spare parts support the repair of the abnormal equipment; in response to determining that the required spare parts support the repair of the abnormal equipment, generating a repair request and repairing the abnormal equipment based on the repair request.

[0251] In one embodiment, when the processor executes the computer program, the following steps can also be implemented: obtaining inventory information of spare parts to generate a procurement plan for spare parts, and accepting the spare parts purchased based on the procurement plan; and / or, discarding spare parts that meet the discard conditions; and / or, recording the outbound or inbound information of spare parts; and updating inventory information based on changes in spare parts.

[0252] In one embodiment, when analyzing the management items of production equipment, the processor can also implement the following steps when executing the computer program: obtaining a maintenance plan associated with the production equipment; wherein the maintenance plan includes maintenance conditions and maintenance tasks for maintaining the production equipment, and the maintenance conditions include at least one of maintenance time information and equipment data information; determining whether the production equipment meets the maintenance conditions; and in response to determining that the maintenance conditions are met, maintaining the production equipment according to the maintenance tasks.

[0253] In one embodiment, the processor can also implement the following steps when executing the computer program: obtaining maintenance configuration instructions for production equipment; wherein the maintenance configuration instructions include at least one of maintenance conditions, maintenance tasks, task identifiers of maintenance tasks, and identifiers of maintenance personnel to which maintenance tasks can be assigned; creating a maintenance plan for the production equipment based on the maintenance configuration instructions; and associating the maintenance plan for the production equipment with the equipment information of the production equipment.

[0254] In one embodiment, when obtaining equipment data of production equipment, the processor may also implement the following steps when executing a computer program: monitor the production equipment to obtain monitoring data of the production equipment; perform data cleaning and format conversion on the monitoring data to obtain equipment data; wherein the format conversion process is used to convert the monitoring data into a preset data format.

[0255] In one embodiment, when outputting the equipment status of the production equipment, the processor may further implement the following steps when executing the computer program: visualize the equipment status of the production equipment to obtain a visualized image, send the visualized image to a display module, and instruct the display module to display the visualized image; and / or, the processor may further implement the following steps when executing the computer program: obtain management instructions; wherein the management instructions carry the identity of the instruction party; determine whether the identity has the authority to implement the management instructions; and in response to determining that the identity has the authority to implement the management instructions, perform equipment management on the production equipment according to the management instructions.

[0256] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

[0257] S101: Acquire equipment data of production equipment; wherein, production equipment refers to equipment that is subject to equipment management, and multiple production equipment are used to cooperate to achieve product processing tasks.

[0258] S102: Analyze at least one management item of the production equipment using the equipment data to evaluate the equipment status of the production equipment.

[0259] S103: Output the equipment status of the production equipment.

[0260] In one embodiment, the equipment data includes predictive data, which is equipment data of a pre-selected predictive category; when the equipment data is used to analyze the management items of the production equipment, the computer program can also implement the following steps when it is executed by the processor: using the predictive data to predict whether the production equipment has an abnormal trend; wherein the abnormal trend indicates that the probability that the production equipment will be in an abnormal state in the future reaches a probability threshold; in response to determining that the production equipment has an abnormal trend, the production equipment is determined to be an abnormal device.

[0261] In one embodiment, the equipment data includes equipment data of multiple data categories; when selecting a category for prediction, the computer program can also implement the following steps when executed by the processor: obtaining training samples of production equipment; wherein the training samples include historical data of equipment data of at least some data categories, and the equipment data of at least some data categories are selected based on the operating characteristics of the production equipment; analyzing the correlation between various types of equipment data of the training samples and abnormal trends; performing dimensionality reduction processing on various types of equipment parameters of the training samples; and selecting a data category as a category for prediction based on the correlation analysis results and the dimensionality reduction processing results.

[0262] In one embodiment, when the management items of the production equipment are analyzed using the equipment data, the following steps may also be implemented when the computer program is executed by the processor: based on the equipment data collected in real time, determining whether the production equipment is currently in an abnormal state; in response to determining that the production equipment is currently in an abnormal state, treating the production equipment as an abnormal device.

[0263] In one embodiment, after the production equipment is treated as an abnormal equipment, the following steps may be implemented when the computer program is executed by the processor: obtaining equipment information of the abnormal equipment; querying repair spare parts that match the equipment information as required spare parts; wherein the repair spare parts represent spare parts required for repairing the production equipment; determining whether the required spare parts support the repair of the abnormal equipment; in response to determining that the required spare parts support the repair of the abnormal equipment, generating a repair request and repairing the abnormal equipment based on the repair request.

[0264] In one embodiment, when the computer program is executed by the processor, the following steps can also be implemented: obtaining inventory information of spare parts to generate a procurement plan for spare parts, and accepting spare parts purchased based on the procurement plan; and / or, discarding spare parts that meet the discard conditions; and / or, recording the outbound or inbound information of spare parts; and updating inventory information based on changes in spare parts.

[0265] In one embodiment, when analyzing the management items of production equipment, the computer program can also implement the following steps when executed by the processor: obtaining a maintenance plan associated with the production equipment; wherein the maintenance plan includes maintenance conditions and maintenance tasks for maintaining the production equipment, and the maintenance conditions include at least one of maintenance time information and equipment data information; determining whether the production equipment meets the maintenance conditions; and in response to determining that the maintenance conditions are met, maintaining the production equipment according to the maintenance tasks.

[0266] In one embodiment, when the computer program is executed by the processor, the following steps can also be implemented: obtaining maintenance configuration instructions for production equipment; wherein the maintenance configuration instructions include at least one of maintenance conditions, maintenance tasks, task identifiers of maintenance tasks, and identifiers of maintenance personnel to which maintenance tasks can be assigned; creating a maintenance plan for the production equipment based on the maintenance configuration instructions; and associating the maintenance plan for the production equipment with the equipment information of the production equipment.

[0267] In one embodiment, when obtaining equipment data of production equipment, the computer program can also implement the following steps when executed by the processor: monitor the production equipment to obtain monitoring data of the production equipment; perform data cleaning and format conversion processing on the monitoring data to obtain equipment data; wherein the format conversion processing is used to convert the monitoring data into a preset data format.

[0268] In one embodiment, when outputting the equipment status of the production equipment, the computer program can also implement the following steps when being executed by the processor: visualize the equipment status of the production equipment to obtain a visualized image, send the visualized image to a display module, and instruct the display module to display the visualized image; and / or, the computer program can also implement the following steps when being executed by the processor: obtain management instructions; wherein the management instructions carry the identity of the instruction party; determine whether the identity has the authority to implement the management instructions; and in response to determining that the identity has the authority to implement the management instructions, perform equipment management on the production equipment according to the management instructions.

[0269] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in the present application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0270] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0271] The above embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application.

Claims

1. A device management method, characterized in that: The device management method comprises: Acquire equipment data of production equipment; wherein the production equipment refers to equipment that is being managed, and a plurality of the production equipment are used to cooperate in achieving product processing tasks; Analyzing at least one management item of the production equipment using the equipment data to evaluate the equipment status of the production equipment; The device status of the production device is output.

2. The device management method according to claim 1, characterized in that: The equipment data includes forecasting data, which is equipment data of a pre-selected forecasting category; and analyzing the management items of the production equipment using the equipment data includes: Using the prediction data, predict whether the production equipment has an abnormal trend; wherein the abnormal trend indicates that the probability of the production equipment being in an abnormal state in the future reaches a probability threshold; In response to determining that the production equipment has the abnormal tendency, the production equipment is determined to be an abnormal equipment.

3. The device management method according to claim 2, characterized in that: The device data includes device data of multiple data categories; the categories selected for prediction include: Acquire a training sample of the production equipment; wherein the training sample includes historical data of equipment data of at least some data categories, and the equipment data of at least some data categories is selected based on the operating characteristics of the production equipment; Analyzing the correlation between various types of equipment data of the training sample and abnormal trends; Performing dimensionality reduction processing on various equipment parameters of the training samples; Based on the correlation analysis result and the dimension reduction processing result, a data category is selected as the prediction category.

4. The device management method according to claim 1, characterized in that: Analyzing the management items of the production equipment using the equipment data includes: Based on the equipment data collected in real time, determining whether the production equipment is currently in an abnormal state; In response to determining that the production equipment is currently in an abnormal state, the production equipment is treated as an abnormal equipment.

5. The device management method according to claim 2 or 4, characterized in that: After treating the production equipment as an abnormal equipment, the method further includes: Obtaining device information of the abnormal device; Querying the maintenance spare parts matching the equipment information as the required spare parts; wherein the maintenance spare parts refer to the spare parts required for repairing the production equipment; Determining whether the required spare parts support repairing the abnormal equipment; In response to determining that the required spare parts support repairing the abnormal device, a repair request is generated and the abnormal device is repaired based on the repair request.

6. The device management method according to claim 5, characterized in that: The device management method further includes: Acquiring inventory information of the repair spare parts to generate a purchase plan for the repair spare parts, and accepting the repair spare parts purchased based on the purchase plan; and / or, discarding the repair spare parts that meet the discard conditions; and / or, recording the outbound or inbound information of the repair spare parts; The inventory information is updated based on the change of the repair spare parts.

7. The device management method according to claim 1, characterized in that: The analysis of the management items of the production equipment includes: Obtaining a maintenance plan associated with the production equipment; wherein the maintenance plan includes maintenance conditions and maintenance tasks for maintaining the production equipment, and the maintenance conditions include at least one of maintenance time information and equipment data information; Determining whether the production equipment meets the maintenance conditions; In response to determining that the maintenance condition is met, the production equipment is maintained according to the maintenance task.

8. The device management method according to claim 7, characterized in that: The device management method further includes: Obtaining a maintenance configuration instruction for the production equipment; wherein the maintenance configuration instruction includes at least one of the maintenance condition, the maintenance task, the task identifier of the maintenance task, and the identifier of a maintenance personnel to whom the maintenance task can be assigned; Creating a maintenance plan for the production equipment based on the maintenance configuration instructions; The maintenance plan of the production equipment is associated with the equipment information of the production equipment.

9. The device management method according to claim 1, characterized in that: The obtaining of equipment data of the production equipment comprises: monitoring the production equipment to obtain monitoring data of the production equipment; The monitoring data is subjected to data cleaning and format conversion processing to obtain the device data; wherein the format conversion processing is used to convert the monitoring data into a preset data format.

10. The device management method according to claim 1, characterized in that: Outputting the equipment status of the production equipment includes: visualizing the equipment status of the production equipment to obtain a visualized image, sending the visualized image to a display module, and causing the display module to display the visualized image; and / or, The device management method further includes: Obtaining a management instruction; wherein the management instruction carries the identity of the instructing party; Determining whether the identity identifier has the authority to implement the management instruction; In response to determining that the identity identifier has the authority to implement the management instruction, device management is performed on the production device according to the management instruction.

11. A device management apparatus, characterized in that: The device management device further includes: A data module, used to connect with the production equipment to obtain and store the equipment data of the production equipment; wherein the production equipment refers to the equipment to be managed; A management module, connected to the data module, is used to implement the device management method according to any one of claims 1 to 10.

12. The equipment management device according to claim 11, characterized in that: The number of the management modules is multiple; wherein at least two of the management modules are used to associate different management items to implement different management items; At least one of the management modules is configured as an expandable mode, and / or at least one of the management modules is a preset module in a preset module set; The extensible mode indicates whether the management module can control whether to implement the management item associated with it; The preset module set includes a basic subset and an extended subset; the preset modules in the basic subset are all used as the management modules; the preset modules in the extended subset are optional, and when the preset modules in the extended subset are selected, they are used as the management modules.

13. The equipment management device according to claim 11 or 12, characterized in that: Each of the management modules includes at least one management unit, and each of the management units is connected to the data module respectively; When the number of the management units is plural, two management units having equipment management association are connected to each other to obtain output of the other when performing equipment management on the production equipment.

14. The equipment management device according to claim 11, characterized in that: The equipment management device also includes a display module connected to the management module; the display module is used to display a visual image and / or obtain management instructions; wherein the visual image is obtained by visualizing the equipment status of the production equipment, and the management instructions are used to instruct the equipment management of the production equipment.

15. A production system, characterized in that: The production system comprises: Production equipment; An equipment management device is connected to the production equipment and is used to manage the production equipment; the equipment management device includes a data module and a management module; wherein the data module is used to connect to the production equipment to obtain and store the equipment data of the production equipment; the management module is connected to the data module and is used to implement the equipment management method as described in any one of claims 1 to 10.

16. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the device management method according to any one of claims 1 to 10 are implemented.

17. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the device management method according to any one of claims 1 to 10 are implemented.

Images