Intelligent production management method and device

Abstract

The present application proposes an intelligent production management method and device, which relates to the field of intelligence. The method includes: establishing a standard database of collection objects according to IT infrastructure standards, wherein the standard database adopts a cluster architecture; converting and processing the data in the standard database to obtain processed data; constructing an expert knowledge base according to the processed data, and intelligently controlling the production management process according to the expert knowledge base, wherein the expert knowledge base includes production knowledge experience, special algorithm experience, curve drawing experience, analysis and evaluation experience, and production management and control experience. Based on the method proposed in this application, the production management business process is reconstructed through digitization and intelligence, so that the production management business process can be fully digitally recorded, analyzed, and decided, realizing intelligent management and control of the production management process.

Description

Technical Field

[0001] The present application relates to the field of intelligence, and in particular to an intelligent production management method and device. Background Art

[0002] With the support of technologies such as computer networks, big data, the Internet of Things and artificial intelligence, intelligence has become an important support for modern production and life.

[0003] Compared with traditional production management methods, intelligence is a comprehensive sublimation of functions based on data. It means that through the application of intelligent technology, production and manufacturing can gradually acquire the perception, memory and thinking ability, learning ability, adaptive ability and behavioral decision-making ability similar to that of humans. In various scenarios, it takes human needs as the center, actively perceives external things, and makes decisions and takes actions on the random external environment in a way similar to human thinking mode and given knowledge and rules through data processing and feedback. Summary of the invention

[0004] The present application aims to solve one of the technical problems in the related art at least to some extent.

[0005] To this end, the first purpose of this application is to propose an intelligent production management method.

[0006] The second purpose of this application is to provide an intelligent production management device.

[0007] The third objective of the present application is to provide an electronic device.

[0008] A fourth objective of the present application is to provide a computer-readable storage medium.

[0009] A fifth object of the present application is to provide a computer program product.

[0010] To achieve the above objectives, the first embodiment of the present application proposes an intelligent production management method, including:

[0011] Establish a standard database of collection objects according to IT infrastructure standards, wherein the standard database adopts a cluster architecture;

[0012] Converting and processing the data in the standard database to obtain processed data;

[0013] An expert knowledge base is constructed based on the processing data, and the production management process is intelligently controlled based on the expert knowledge base, wherein the expert knowledge base includes production knowledge experience, special algorithm experience, curve drawing experience, analysis and evaluation experience, and production management and control experience.

[0014] Optionally, the standard database includes a relational database, a non-relational database and a time series database, wherein:

[0015] The relational database includes a MySQL database;

[0016] The non-relational databases include MongoDB database, Redis database and ElsticSearch database;

[0017] The time series database includes an IoTDB database.

[0018] Optionally, also include:

[0019] Based on the standard database, establishing a standard data source;

[0020] The data sources in the standard database are managed uniformly according to the standard data source.

[0021] Optionally, converting and processing the data in the standard database to obtain processed data includes:

[0022] Extracting original data that meets the preset standard requirements from the standard database, and converting the original data into a preset format to obtain converted data;

[0023] The converted data is processed to obtain the processed data, wherein the processing process includes at least one of data cleaning, data filtering, adding columns, data aggregation, row-column conversion, append merging, data association, and SQL association.

[0024] Optionally, the intelligently controlling the production management process according to the expert knowledge base includes:

[0025] Establishing a method for drawing a production selectivity curve based on the function model and basic data in the expert knowledge base;

[0026] According to the drawing method, a curve drawing algorithm model is established by combining the basic data with theoretical data;

[0027] The curve drawing algorithm model provides suggestions for the production management process.

[0028] To achieve the above-mentioned purpose, the second embodiment of the present application proposes an intelligent production management device, including:

[0029] A standard database construction module is used to establish a standard database of collection objects according to IT infrastructure standards, wherein the standard database adopts a cluster architecture;

[0030] A conversion and processing module, used for converting and processing the data in the standard database to obtain processed data;

[0031] The expert knowledge base construction module is used to construct an expert knowledge base based on the processing data, and intelligently control the production management process based on the expert knowledge base, wherein the expert knowledge base includes production knowledge experience, special algorithm experience, curve drawing experience, analysis and evaluation experience, and production management and control experience.

[0032] To achieve the above-mentioned purpose, the third aspect of the present application provides an electronic device, including: a processor, and a memory communicatively connected to the processor;

[0033] The memory stores computer-executable instructions;

[0034] The processor executes the computer-executable instructions stored in the memory to implement the method as described in any one of the first aspects above.

[0035] To achieve the above-mentioned purpose, the fourth aspect embodiment of the present application proposes a computer-readable storage medium, in which computer execution instructions are stored. When the computer execution instructions are executed by a processor, they are used to implement the method as described in any one of the above-mentioned first aspects.

[0036] To achieve the above-mentioned purpose, the fifth aspect of the present application proposes a computer program product, including a computer program, which, when executed by a processor, implements the method as described in any one of the above-mentioned first aspects.

[0037] The technical solution provided by the embodiments of the present application brings at least the following beneficial effects:

[0038] Through standardized research on data, digitalization and intelligentization, the production management business process is reconstructed to achieve full digital recording, analysis, and decision-making of the production management business process, thereby realizing intelligent management and control of the production management process.

[0039] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0041] Figure 1 is a flow chart of an intelligent production management method according to an embodiment of the present application;

[0042] Figure 2is a block diagram of an intelligent production management device according to an embodiment of the present application;

[0043] Figure 3 It is a block diagram of an electronic device. DETAILED DESCRIPTION

[0044] The embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0045] An intelligent production management method and device according to an embodiment of the present application will be described below with reference to the accompanying drawings.

[0046] Figure 1 is a flow chart of an intelligent production management method according to an embodiment of the present application. Figure 1 As shown, the method comprises the following steps:

[0047] Step 101: Establish a standard database of collection objects according to IT infrastructure standards, wherein the standard database adopts a cluster architecture.

[0048] In the embodiment of the present application, IT infrastructure refers to the collection of all hardware, software, networks, data centers, infrastructure and related equipment required by an enterprise to develop, test, operate, monitor, manage / support information technology services. For each collection object such as production, operation, and operation status of electromechanical equipment in the factory, a standard database is established with reference to the industry IT infrastructure standards to unify the data base and the data platform, and provide a standard, complete and consistent data source.

[0049] As a possible implementation method, the database deployment mode adopts a cluster architecture to achieve data redundancy and ensure high availability of the database. At the same time, scheduled full backups and differential backups every few seconds ensure that data will not be lost.

[0050] Moreover, the standard database consists of the following components: relational database, non-relational database, and time series database.

[0051] In a possible embodiment, the relational database adopts the currently popular MySQL database.

[0052] In another possible embodiment, the non-relational database uses a MongoDB database for distributed file storage, a memory-based log-type key-value Redis database, or an ElsticSearch database based on full-text retrieval and analysis.

[0053] In another possible embodiment, the time series database uses a high-performance time series data IoTDB database that focuses on the industrial Internet of Things.

[0054] It can be understood that in order to facilitate the unified management of data sources in standard databases, this application establishes a standard data source through the existing data source configuration and other functions, and then uniformly manages the data source, thereby realizing functions such as adding, editing, viewing, and testing data source connections, and can configure properties such as the data source name, database type, database driver, database address, database user name, and development unit.

[0055] It is understandable that the data source can support various types of databases to implement data source management configuration and management. Through the task configuration management function of the standard data source, the source system data can be imported into the target system to achieve interconnection between different data sources.

[0056] Step 102, converting and processing the data in the standard database to obtain processed data.

[0057] In the embodiment of the present application, through an interface with multi-source heterogeneous data access capabilities, data that meets the requirements of the national standard machine condition monitoring and diagnostic data processing, communication and representation GB / T 25742 is accessed from the standard database, and its format is converted and processed, thereby facilitating subsequent real-time production, safety monitoring and business management.

[0058] It should be noted that when converting the original data extracted from the standard database, the conversion method must also comply with the requirements of GB / T 25742.

[0059] As a possible implementation method, during the data processing process, you can select the corresponding processing node to create a processing flow. The processing nodes include: data cleaning, data filtering, adding columns, data aggregation, row and column conversion, append merging, data association, and SQL association.

[0060] Step 103, construct an expert knowledge base based on the processing data, and intelligently control the production management process based on the expert knowledge base, wherein the expert knowledge base includes production knowledge experience, special algorithm experience, curve drawing experience, analysis and evaluation experience, and production management and control experience.

[0061] In the embodiment of the present application, various operations such as production management and control, curve drawing, analysis and evaluation can be achieved through calling and sharing various experience data in the expert knowledge base.

[0062] As a possible implementation method, a method for drawing the production optionality curve is established based on the function model and the basic data in the expert knowledge base. Based on the drawing method, a curve drawing algorithm model is established in combination with the basic data and theoretical data. Based on the curve drawing algorithm model, suggestions are provided for the production management process.

[0063] It should be noted that the function model includes the tangent model and the inverse tangent model, and the curve drawing method, management experience and other contents can be called from the expert knowledge base, and the theories, models and methods in the expert knowledge base are shared during the system analysis process.

[0064] As another possible implementation method, when the production management process is intelligently controlled based on the expert knowledge base, an intelligent production management system is created, and the entire intelligent production management system is divided according to different production themes, for example, it is divided into production management, equipment management, personnel management, energy consumption management, daily affairs management, basic data management, safety management, occupational health management, environmental protection management, etc., and corresponding production management models, equipment management models, personnel management models, energy consumption management models, daily affairs management models, basic data management models, safety management models, occupational health management models, environmental protection management models, etc. are generated.

[0065] It should be noted that the results required for each production topic can be calculated based on various management models and formulas, which can be used for daily production management and can serve as empirical data for the expert knowledge base.

[0066] In a possible embodiment, the expert knowledge base file upload function in the expert knowledge base manages knowledge such as technical documents, the occupational health files in occupational health management and the fire equipment ledger in safety management maintain occupational health data, and the hazardous waste ledger function in environmental protection management maintains energy-saving and environmental protection data. These functions realize collaborative management of production, operation, technology, occupational health, energy-saving and environmental protection data with reference to the business standards of the manufacturer.

[0067] Figure 2 It is a block diagram of an intelligent production management device 10 according to an embodiment of the present application, including: a standard database construction module 100, a conversion and processing module 200 and an expert knowledge base construction module 300.

[0068] A standard database construction module 100 is used to establish a standard database of collection objects according to IT infrastructure standards, wherein the standard database adopts a cluster architecture;

[0069] The conversion and processing module 200 is used to convert and process the data in the standard database to obtain processed data;

[0070] The expert knowledge base construction module 300 is used to construct an expert knowledge base based on processing data and intelligently control the production management process based on the expert knowledge base, wherein the expert knowledge base includes production knowledge experience, special algorithm experience, curve drawing experience, analysis and evaluation experience, and production management and control experience.

[0071] Regarding the device in the above embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated here.

[0072] Figure 3 A schematic block diagram of an example electronic device 700 that can be used to implement an embodiment of the present application is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workbenches, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present application described and / or required herein.

[0073] like Figure 3 As shown, the device 700 includes a computing unit 701, which can perform various appropriate actions and processes according to a computer program stored in a read-only memory (ROM) 702 or a computer program loaded from a storage unit 708 into a random access memory (RAM) 703. In the RAM 703, various programs and data required for the operation of the device 700 can also be stored. The computing unit 701, the ROM 702, and the RAM 703 are connected to each other via a bus 704. An input / output (I / O) interface 705 is also connected to the bus 704.

[0074] A number of components in the device 700 are connected to the I / O interface 705, including: an input unit 706, such as a keyboard, a mouse, etc.; an output unit 707, such as various types of displays, speakers, etc.; a storage unit 708, such as a disk, an optical disk, etc.; and a communication unit 709, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 709 allows the device 700 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0075] The computing unit 701 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the computing unit 701 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, digital signal processors (DSPs), and any appropriate processors, controllers, microcontrollers, etc. The computing unit 701 performs the various methods and processes described above, such as the voice instruction response method. For example, in some embodiments, the voice instruction response method may be implemented as a computer software program, which is tangibly contained in a machine-readable medium, such as a storage unit 708. In some embodiments, part or all of the computer program may be loaded and / or installed on the device 700 via ROM 702 and / or communication unit 709. When the computer program is loaded into RAM 703 and executed by the computing unit 701, one or more steps of the voice instruction response method described above may be performed. Alternatively, in other embodiments, the computing unit 701 may be configured to perform the voice instruction response method in any other appropriate manner (e.g., by means of firmware).

[0076] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0077] The program code for implementing the method of the present application can be written in any combination of one or more programming languages. These program codes can be provided to a processor or controller of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that the program code, when executed by the processor or controller, implements the functions / operations specified in the flow chart and / or block diagram. The program code can be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0078] In the context of the present application, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or equipment, or any suitable combination of the foregoing. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0079] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user can provide input to the computer. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0080] The systems and techniques described herein can be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), the Internet, and a blockchain network.

[0081] A computer system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The relationship between the client and the server is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services ("Virtual Private Server", or "VPS" for short). The server may also be a server of a distributed system, or a server combined with a blockchain.

[0082] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps recorded in this application can be executed in parallel, sequentially or in different orders, as long as the expected results of the technical solution of this application can be achieved, and this document is not limited here.

[0083] The above specific implementations do not constitute a limitation on the protection scope of this application. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of this application should be included in the protection scope of this application.

Claims

1. An intelligent production management method, characterized in that: include: A standard database for collection objects is established according to IT infrastructure standards. The standard database adopts a cluster architecture. The standard database includes a relational database, a non-relational database and a time series database. The relational database includes a MySQL database. The non-relational database includes a MongoDB database, a Redis database, and / or an ElsticSearch database. The time series database includes an IoTDB database. Accessing original data that meets the requirements of national standard machine condition monitoring and diagnostic data processing, communication and representation GB / T25742 from the standard database through an interface with multi-source heterogeneous data access capability, converting the original data into a preset format to obtain converted data, and processing the converted data to obtain processed data; An expert knowledge base is constructed according to the processing data, and the production management process is intelligently controlled according to the expert knowledge base; wherein, the expert knowledge base contains production knowledge experience, special algorithm experience, curve drawing experience, analysis and evaluation experience, and production management and control experience; through various experience data in the expert knowledge base, production management and control, curve drawing, analysis and evaluation can be realized by calling and sharing, and a method for drawing a production optionality curve is established according to a function model including a tangent model and an inverse tangent model and basic data in the expert knowledge base, and a curve drawing algorithm model is established according to the drawing method in combination with the basic data and theoretical data, and suggestions are provided for the production management process according to the curve drawing algorithm model; when the production management process is intelligently controlled according to the expert knowledge base, an intelligent production management system is created, the entire intelligent production management system is divided according to different production themes, and corresponding management models are generated, and the results required for each production theme are calculated according to various management models and formulas, and used as experience data of the expert knowledge base; The method further includes: establishing a standard data source based on the standard database, and uniformly managing the data sources in the standard database according to the standard data source.

2. The method according to claim 1, characterized in that The processing process includes at least one of data cleaning, data filtering, adding columns, data aggregation, row and column conversion, append merging, data association, and SQL association.

3. An intelligent production management device, characterized in that: include: A standard database construction module is used to establish a standard database of the collection object according to the IT infrastructure standard. The standard database adopts a cluster architecture. The standard database includes a relational database, a non-relational database and a time series database. The relational database includes a MySQL database, the non-relational database includes a MongoDB database, a Redis database, and / or an ElsticSearch database, and the time series database includes an IoTDB database. A conversion and processing module, used to access the original data that meets the requirements of the national standard machine condition monitoring and diagnosis data processing, communication and representation GB / T25742 from the standard database through an interface with multi-source heterogeneous data access capability, convert the original data into a preset format to obtain converted data, and process the converted data to obtain processed data; An expert knowledge base construction module is used to construct an expert knowledge base according to the processing data, and to perform intelligent control on the production management process according to the expert knowledge base; wherein the expert knowledge base includes production knowledge experience, special algorithm experience, curve drawing experience, analysis and evaluation experience, and production management and control experience; through various experience data in the expert knowledge base, production management and control, curve drawing, analysis and evaluation can be realized by calling and sharing, and a method for drawing a production optionality curve is established according to a function model including a tangent model and an inverse tangent model and basic data in the expert knowledge base, and a curve drawing algorithm model is established according to the drawing method in combination with the basic data and theoretical data, and suggestions are provided for the production management process according to the curve drawing algorithm model; when the production management process is intelligently controlled according to the expert knowledge base, an intelligent production management system is created, the entire intelligent production management system is divided according to different production themes, and corresponding management models are generated, and the results required for each production theme are calculated according to various management models and formulas, and used as experience data of the expert knowledge base; The device further includes: establishing a standard data source based on the standard database, and uniformly managing the data sources in the standard database according to the standard data source.

4. The device according to claim 3, characterized in that The processing process includes at least one of data cleaning, data filtering, adding columns, data aggregation, row and column conversion, append merging, data association, and SQL association.

5. An electronic device, characterized in that: include: A processor, and a memory communicatively connected to the processor; The memory stores computer-executable instructions; The processor executes the computer-executable instructions stored in the memory to implement the method according to claim 1 or 2.

6. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, which are used to implement the method according to claim 1 or 2 when executed by a processor.

7. A computer program product, characterized in that The invention comprises a computer program, which implements the method according to claim 1 or 2 when being executed by a processor.

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