Industrial perception data management system and method

Abstract

The invention discloses an industrial perception data management system and method. The system comprises a management platform on a cloud side, industrial equipment on an edge side and an intelligent gateway, and the management platform is configured with an information model template and standard format nodes containing various sensing data types and issues a collection instruction through the intelligent gateway; the industrial equipment responds to the instruction and sends sensing data of each measuring point carrying the dynamic measuring point identifier to the intelligent gateway; the intelligent gateway matches and converts the target sensing data according to the gateway configuration template, and sends the target sensing data to the management platform based on a preset protocol; the gateway configuration template stores a mapping relationship between the measurement point identifier and the information model node and a data format conversion mode; and the management platform receives and stores the target sensing data to the corresponding information model nodes, and constructs an information model of the industrial equipment. The technical problem that multi-source sensing data is difficult to circulate and share due to the problems of data formats, transmission protocols and the like in an industrial equipment management scene is solved.

Description

Technical Field

[0001] The present application relates to the field of data processing technology, and in particular, to an industrial perception data management system and method. Background Art

[0002] In the field of industrial Internet and intelligent manufacturing, the rise of digital twin technology has promoted the virtual management and optimization of physical equipment. Digital twins rely on a large amount of sensory data collected in real time from industrial equipment, including equipment status, environmental conditions, operating parameters, etc. In order to accurately map physical equipment in virtual space, an efficient data modeling integration and expression method is needed to ensure the accuracy and real-time nature of the data and realize the smooth flow of information in various business systems and the entire industrial chain. At present, sensory data is usually processed in a point-to-point manner in various business systems, lacking a unified data modeling integration mechanism, resulting in difficulties in data transmission and understanding between different systems. Due to the lack of uniformity in data formats and protocols between different systems, information sharing requires complex conversion and adaptation, which increases the complexity and cost of data processing. The amount of sensory data generated by industrial equipment is huge, and traditional data processing and storage methods are difficult to cope with, especially in scenarios with high real-time requirements, where data processing efficiency is low.

[0003] To address the above-mentioned problems, no effective solution has been proposed yet. Summary of the invention

[0004] The embodiments of the present application provide an industrial perception data management system and method to at least solve the technical problem in industrial equipment management scenarios that multi-source perception data is difficult to circulate and share due to issues such as data format and transmission protocol.

[0005] According to one aspect of an embodiment of the present application, an industrial perception data management system is provided, including: a management platform on a cloud side, industrial equipment on an edge side, and an intelligent gateway, wherein the management platform is used to configure an information model template corresponding to the industrial equipment, wherein the information model template includes: a plurality of information model nodes with a standard data format corresponding to a plurality of perception data types one by one; a perception data collection instruction is issued to the industrial equipment through the intelligent gateway; the industrial equipment is used to respond to the perception data collection instruction and send the perception data collected by each measuring point in the industrial equipment to the intelligent gateway, wherein each perception data carries a measuring point identifier of the corresponding measuring point; the intelligent gateway is used to determine target perception data matching the information model node from the received plurality of perception data according to a preset gateway configuration template, and format-convert the target perception data, and send the converted target perception data to the management platform based on a preset transmission protocol, wherein the gateway configuration template stores a one-to-one mapping relationship between different measuring point identifiers and different information model nodes, and the mapping relationship includes: a data format conversion method; the management platform is also used to store the received target perception data in the corresponding information model node in the information model template to obtain the information model corresponding to the industrial equipment.

[0006] Optionally, in the information model template, the dimensions of the perceived data include: device attribute dimension, event information dimension, service capability dimension and subscription information dimension; the perceived data type of the device attribute dimension includes at least one of the following: static configuration information, operating status information, the static configuration information includes at least one of the following: device identification, type, firmware version, the operating status information includes at least one of the following: temperature, humidity, pressure, speed, vibration, current, voltage; the perceived data type of the event information dimension includes at least one of the following: device startup, device shutdown, device alarm, equipment maintenance, fault occurrence, production completion; the perceived data type of the service capability dimension includes at least one of the following: execution efficiency, energy consumption, failure rate, production quality; the perceived data type of the subscription information dimension includes at least one of the following: early warning information, maintenance requirements, energy consumption trends, production efficiency prediction information.

[0007] Optionally, the management platform is used to issue perception data collection instructions to industrial equipment through the intelligent gateway, wherein the perception data collection instructions include data collection frequency and data collection type; the industrial equipment is used to respond to the perception data collection instructions, determine the target measuring point corresponding to the data collection type, and control each target measuring point to collect perception data according to the data collection frequency, and send all collected perception data to the intelligent gateway.

[0008] Optionally, the intelligent gateway includes multiple data interfaces corresponding to multiple information model nodes one by one, and the gateway configuration template stores configuration information of each data interface, the configuration information including: a data format conversion method, wherein the intelligent gateway is used to determine target perception data matching the information model node from the multiple perception data received according to the gateway configuration template, and determine the target data interface corresponding to the target perception data from the multiple data interfaces, determine the target configuration information of the target data interface, call the target data interface to convert the data format of the target perception data into the data format specified by the corresponding information model node according to the target configuration information, and send the target perception data after format conversion to the management platform based on a preset transmission protocol.

[0009] Optionally, the intelligent gateway is used to periodically send a heartbeat signal to the management platform, wherein the heartbeat signal includes at least one of the following: an identification of the intelligent gateway, a sending timestamp, and an operating status; the management platform is used to determine the operating status of the intelligent gateway based on the heartbeat signal; when the heartbeat signal sent by the intelligent gateway is not received after a continuous preset number of cycles, it is determined that the intelligent gateway is operating abnormally and an abnormal prompt message is generated.

[0010] Optionally, the management platform is also used to determine the static perception data and dynamic perception data in the received target perception data; store each type of static perception data in a static perception database according to a first preset data structure, wherein the first preset data structure includes: a relational database table; sort each type of dynamic perception data according to time to obtain a dynamic perception data sequence, and store each dynamic perception data sequence in a time series perception database according to a second preset data structure, wherein the second preset data structure includes: a time series database table.

[0011] Optionally, the management platform is also used to manage the information model templates of multiple industrial equipment in the industrial system according to the three-level relationship of physical object-template-unit when configuring the information model template, wherein the physical object represents the industrial equipment, the template represents the information model template corresponding to the industrial equipment, and the unit is the information model template set corresponding to each set of industrial equipment after the multiple industrial equipment in the industrial system are divided according to function.

[0012] According to another aspect of an embodiment of the present application, an industrial perception data management method is also provided, including: forwarding a perception data collection instruction from a management platform to industrial equipment; receiving multiple perception data fed back by the industrial equipment, wherein each perception data carries a measurement point identifier of a measurement point in the industrial equipment for collecting the perception data; determining target perception data matching an information model node from the multiple perception data according to a preset gateway configuration template, and performing format conversion on the target perception data, wherein the information model node is a node with a standard data format corresponding to a plurality of perception data types in an information model template configured by the management platform corresponding to the industrial equipment, and the gateway configuration template stores a one-to-one mapping relationship between different measurement point identifiers and different information model nodes, and the mapping relationship includes: a data format conversion method; sending the converted target perception data to the management platform based on a preset transmission protocol, wherein the management platform is used to store the received target perception data in the corresponding information model node in the information model template to obtain the information model corresponding to the industrial equipment.

[0013] According to another aspect of an embodiment of the present application, an industrial perception data management method is also provided, including: configuring an information model template corresponding to industrial equipment, wherein the information model template includes: multiple information model nodes with a standard data format corresponding one-to-one to multiple perception data types; issuing perception data collection instructions to industrial equipment through an intelligent gateway, wherein the industrial equipment is used to respond to the perception data collection instructions and send the perception data collected by each measuring point in the industrial equipment to the intelligent gateway, and each perception data carries a measuring point identifier of the corresponding measuring point; the intelligent gateway is used to determine the target perception data matching the information model node from the received multiple perception data according to a preset gateway configuration template, and format the target perception data, and send the converted target perception data to a management platform based on a preset transmission protocol, wherein the gateway configuration template stores a one-to-one mapping relationship between different measuring point identifiers and different information model nodes, and the mapping relationship includes: a data format conversion method; storing the received target perception data in the corresponding information model node in the information model template to obtain the information model corresponding to the industrial equipment.

[0014] According to another aspect of an embodiment of the present application, a computer program product is further provided, the computer program product comprising: a computer program, wherein when the computer program is executed by a processor, the above-mentioned industrial perception data management method is implemented.

[0015] According to another aspect of an embodiment of the present application, an electronic device is further provided, comprising: a memory and a processor, wherein a computer program is stored in the memory, and the processor is configured to execute the above-mentioned industrial perception data management method through the computer program.

[0016] In the embodiment of the present application, the information model template configured by the management platform ensures the standardized representation of all sensory data. Through the information model nodes corresponding to a variety of sensory data types, the system can uniformly process and organize complex data from different industrial equipment. This standardized data model supports the effective integration of data and facilitates subsequent analysis and application. The sensory data collection instructions issued by the intelligent gateway to the industrial equipment can accurately control the type and frequency of data collection. The industrial equipment responds to these instructions, collects data from various measurement points and sends it to the intelligent gateway. The measurement point identification carried ensures the traceability and accuracy of the data source. This feature enhances the controllability and efficiency of the data collection process. According to the preset gateway configuration template, the intelligent gateway can filter out the target perception data that matches the information model node and perform necessary format conversion to ensure that the data meets the requirements of the information model. The intelligent gateway sends the format-converted target perception data to the management platform based on the preset transmission protocol. The management platform stores these data in the corresponding information model nodes in the information model template to build an information model of industrial equipment. Through the construction of the information model, different types of perception data can flow smoothly within the system, supporting real-time monitoring of the status of industrial equipment and historical data analysis, and promoting data sharing and interoperability between different systems and components, thereby solving the technical problem of multi-source perception data being difficult to circulate and share due to issues such as data format and transmission protocol in industrial equipment management scenarios. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0018] Figure 1 is a schematic diagram of the structure of an optional industrial perception data management system according to an embodiment of the present application;

[0019] Figure 2 is a flowchart of an optional industrial perception data management method according to an embodiment of the present application;

[0020] Figure 3 is a flowchart of another optional industrial perception data management method according to an embodiment of the present application;

[0021] Figure 4 It is a schematic diagram of the structure of an optional electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0022] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.

[0023] It should be noted that the terms "first", "second", etc. in the specification, claims and drawings of the present application are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0024] In order to better understand the embodiments of the present application, some nouns or terms that appear in the description of the embodiments of the present application are first translated and explained as follows:

[0025] Information model: A standardized and structured description of industrial equipment data. It abstracts the information of physical equipment into computable elements by defining the attributes, events, services and subscriptions of the equipment, so that data can flow smoothly in different business systems and the entire value chain, achieving efficient integration and management of data, while supporting the construction of digital twins and improving the real-time and sequential guarantees of industrial data processing. In short, the information model is a bridge between industrial data management and digital twin technology, ensuring the unified representation and effective use of data.

[0026] Perception data: Data collected by perception devices or sensor devices has six main characteristics: temporality, location, sequence, massiveness, real-time and event triggering. It is the main processing object of digital twin technology. In an intelligent manufacturing environment, equipment will generate a large amount of perception data. Realizing the smooth and orderly flow of this data within the enterprise is one of the important goals of enterprise informatization.

[0027] Example 1

[0028] According to an embodiment of the present application, an industrial perception data management system is provided, such as Figure 1 As shown, the industrial perception data management system at least includes: a management platform 11 on the cloud side, industrial equipment 12 on the edge side, and an intelligent gateway 13, wherein:

[0029] The management platform 11 is used to configure an information model template corresponding to the industrial equipment, wherein the information model template includes: a plurality of information model nodes with a standard data format corresponding to a plurality of sensory data types; and to send a sensory data collection instruction to the industrial equipment through an intelligent gateway;

[0030] The industrial device 12 is used to respond to the sensed data collection instruction and send the sensed data collected by each measuring point in the industrial device to the intelligent gateway, wherein each sensed data carries a measuring point identifier of the corresponding measuring point;

[0031] The intelligent gateway 13 is used to determine the target perception data matching the information model node from the received multiple perception data according to the preset gateway configuration template, and perform format conversion on the target perception data, and send the converted target perception data to the management platform based on the preset transmission protocol, wherein the gateway configuration template stores a one-to-one mapping relationship between different measurement point identifiers and different information model nodes, and the mapping relationship includes: a data format conversion method;

[0032] The management platform 11 is also used to store the received target perception data into the corresponding information model node in the information model template to obtain the information model corresponding to the industrial equipment.

[0033] The following is an explanation of the various components and functions of the industrial perception data management system in conjunction with the specific implementation process.

[0034] The management platform first needs to establish an information model template for each type of industrial equipment. This template includes all the types of perception data that may be generated or required by this type of equipment, as well as the standardized expression of these data types.

[0035] The information model template corresponding to the industrial equipment configured by the management platform includes: multiple information model nodes with standard data formats corresponding to multiple perception data types. These nodes define the storage structure, data type and meaning of the data, ensuring the consistency and comprehensibility of the data.

[0036] As an optional implementation, in the information model template, the dimensions of perception data include: device attribute dimension, event information dimension, service capability dimension and subscription information dimension; the perception data type of the device attribute dimension includes at least one of the following: static configuration information, operating status information, the static configuration information includes at least one of the following: device identification, type, firmware version, the operating status information includes at least one of the following: temperature, humidity, pressure, speed, vibration, current, voltage; the perception data type of the event information dimension includes at least one of the following: device startup, device shutdown, device alarm, equipment maintenance, fault occurrence, production completion; the perception data type of the service capability dimension includes at least one of the following: execution efficiency, energy consumption, failure rate, production quality; the perception data type of the subscription information dimension includes at least one of the following: early warning information, maintenance requirements, energy consumption trends, production efficiency prediction information.

[0037] As an optional implementation, the management platform can also manage the information model templates of multiple industrial equipment in the industrial system according to the three-level relationship of physical object-template-unit when configuring the information model template, wherein the physical object represents the industrial equipment, the template represents the information model template corresponding to the industrial equipment, and the unit is the information model template set corresponding to each set of industrial equipment after the multiple industrial equipment in the industrial system are divided according to function.

[0038] For example, when configuring the information model template of the screw machine equipment, the management platform first defines the device attribute dimension of the screw machine, including static configuration information such as device identification, type and firmware version, as well as operating status information such as temperature and vibration. Then, it defines the event information dimension, such as events such as device startup and shutdown, and the service capability dimension, such as execution efficiency and energy consumption. Finally, it defines the subscription information dimension, such as early warning information and maintenance requirements. When the actual operation data (perception data) of the screw machine is collected and transmitted to the management platform, these data will be standardized and classified according to their respective information model nodes. For example, the temperature data of the screw machine will be mapped to the device attribute dimension-temperature node, and the device startup event will be mapped to the event information dimension-device startup node. In this way, all perception data are organized in the corresponding information model template, realizing the modeling and structuring of data. In addition, if there are multiple screw machines in the factory, they will be divided into the same unit and share the same information model template. In this way, even if the number of screw machines increases, the management platform can efficiently manage and process the data from these devices and realize unified management and analysis of data.

[0039] Through these steps, the management platform can ensure that the perception data of all industrial equipment is modeled and processed, providing a unified data expression and organization method for the industrial Internet, greatly improving the utilization efficiency and value of data.

[0040] As an optional implementation, the management platform sends a perception data collection instruction to the industrial equipment through the intelligent gateway, wherein the perception data collection instruction includes a data collection frequency and a data collection type.

[0041] The industrial equipment responds to the perception data collection instruction and sends the perception data collected by each measuring point in the industrial equipment to the intelligent gateway, wherein each perception data carries the measuring point identifier of the corresponding measuring point.

[0042] Specifically, as an optional implementation, the industrial equipment responds to the perception data collection instruction, determines the target measurement point corresponding to the data collection type, controls each target measurement point to collect perception data according to the data collection frequency, and sends all collected perception data to the intelligent gateway.

[0043] For example, when an industrial device receives a data collection instruction, it will identify which measurement points (i.e., data collection points) correspond to the data collection type specified in the instruction. For example, a screw machine may have multiple measurement points such as temperature sensors and vibration sensors. After receiving the instruction to collect temperature data, the screw machine will only start the temperature sensor for data collection. The industrial device will collect sensory data from the target measurement point regularly according to the frequency setting in the instruction. For example, if the instruction requires temperature data to be collected once a minute, the screw machine will ensure that temperature information is collected once a minute. Before each collected sensory data is sent to the intelligent gateway, the measurement point identifier corresponding to the data will be attached. This is to enable the intelligent gateway to accurately identify the source of the data and associate the data with the corresponding information model node. For example, the temperature data 123.4℃ will be accompanied by the unique identifier 01 of the temperature sensor, indicating that this is the temperature data from the 01 measurement point on the screw machine.

[0044] The intelligent gateway determines the target perception data that matches the information model node from the received multiple perception data according to the preset gateway configuration template, converts the format of the target perception data, and sends the converted target perception data to the management platform based on the preset transmission protocol. The gateway configuration template stores a one-to-one mapping relationship between different measurement point identifiers and different information model nodes, and the mapping relationship includes: data format conversion method, so as to ensure that each perception data received from the industrial equipment can be correctly identified and processed.

[0045] As an optional implementation, the intelligent gateway includes multiple data interfaces corresponding to multiple information model nodes one by one, and the gateway configuration template stores configuration information of each data interface, and the configuration information includes: data format conversion method. Therefore, the intelligent gateway can determine the target perception data matching the information model node from the multiple perception data received according to the gateway configuration template, and determine the target data interface corresponding to the target perception data from the multiple data interfaces, determine the target configuration information of the target data interface, call the target data interface to convert the data format of the target perception data into the data format specified by the corresponding information model node according to the target configuration information, and send the target perception data after format conversion to the management platform based on the preset transmission protocol.

[0046] For example, the temperature data 123.4℃ will match the data interface 01 because the 01 interface is used to process temperature data. If the information model node 01 requires the temperature data to be expressed in Fahrenheit, the intelligent gateway will convert the received Celsius temperature data into Fahrenheit.

[0047] The management platform stores the received target perception data into the corresponding information model node in the information model template to obtain the information model corresponding to the industrial equipment.

[0048] Among them, the management platform receives target perception data from the intelligent gateway. These data are filtered and format-converted data that match the preset information model nodes. For each target perception data, the management platform will identify the information model node to which it belongs. For example, the temperature data of the screw machine will match the "temperature" attribute node in the information model. The management platform maps the target perception data to the corresponding information model node in the information model template, which means that the data is inserted into the structure of the information model and associated with other data elements in the model (such as attributes, events, services, etc.) to build a virtual representation of the device. By storing all target perception data in the corresponding information model nodes, the management platform gradually builds a complete information model of industrial equipment. This model not only contains the static attributes of the equipment (such as model, version number), but also reflects the operating status of the equipment in real time (such as temperature, vibration and other dynamic data).

[0049] As an optional implementation, the management platform can also determine the static perception data and dynamic perception data in the received target perception data. Static perception data usually refers to the basic attributes of the equipment, such as equipment identification, type, etc., and this type of data changes little during the life cycle of the equipment; while dynamic perception data is real-time data during the operation of the equipment, such as temperature, vibration, etc., and this type of data changes rapidly over time; each type of static perception data is stored in a static perception database according to a first preset data structure, wherein the first preset data structure includes: a relational database table, through which the basic information of the equipment can be clearly managed and queried, which is convenient for equipment management and maintenance; each type of dynamic perception data is sorted according to time to obtain a dynamic perception data sequence, and each dynamic perception data sequence is stored in a time series perception database according to a second preset data structure, wherein the second preset data structure includes: a time series database table, the time series database structure is particularly suitable for processing a large amount of time series data, and can effectively support historical data query and real-time data analysis, such as equipment status monitoring and fault prediction.

[0050] As an optional implementation, the intelligent gateway periodically sends a heartbeat signal to the management platform, wherein the heartbeat signal includes at least one of the following: an identification of the intelligent gateway, a sending timestamp, and an operating status. The role of the heartbeat signal is to tell the management platform that the intelligent gateway is currently online and working normally; the management platform determines the operating status of the intelligent gateway based on the heartbeat signal. After receiving the heartbeat signal, the management platform will check the information in the signal to determine the operating status of the intelligent gateway, such as whether it is online, whether it is operating normally, etc.; when the heartbeat signal sent by the intelligent gateway is not received after a preset number of consecutive cycles, it is determined that the intelligent gateway is operating abnormally, and an abnormal prompt message is generated, which may also trigger a fault detection and processing mechanism. For example, it may be necessary to remotely restart the intelligent gateway or dispatch a technician to conduct an on-site inspection.

[0051] In the embodiment of the present application, the information model template configured by the management platform ensures the standardized representation of all sensory data. Through the information model nodes corresponding to a variety of sensory data types, the system can uniformly process and organize complex data from different industrial equipment. This standardized data model supports the effective integration of data and facilitates subsequent analysis and application. The sensory data collection instructions issued by the intelligent gateway to the industrial equipment can accurately control the type and frequency of data collection. The industrial equipment responds to these instructions, collects data from various measurement points and sends it to the intelligent gateway. The measurement point identification carried ensures the traceability and accuracy of the data source. This feature enhances the controllability and efficiency of the data collection process. According to the preset gateway configuration template, the intelligent gateway can filter out the target perception data that matches the information model node and perform necessary format conversion to ensure that the data meets the requirements of the information model. The intelligent gateway sends the format-converted target perception data to the management platform based on the preset transmission protocol. The management platform stores these data in the corresponding information model nodes in the information model template to build an information model of industrial equipment. Through the construction of the information model, different types of perception data can flow smoothly within the system, supporting real-time monitoring of the status of industrial equipment and historical data analysis, and promoting data sharing and interoperability between different systems and components, thereby solving the technical problem of multi-source perception data being difficult to circulate and share due to issues such as data format and transmission protocol in industrial equipment management scenarios.

[0052] Example 2

[0053] According to an embodiment of the present application, an industrial perception data management method is provided for an industrial perception data management system in Example 1. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0054] Figure 2 is a flow chart of an industrial perception data management method provided according to an embodiment of the present application, such as Figure 2 As shown, the method comprises the following steps:

[0055] Step S202, forwarding the sensing data collection instruction from the management platform to the industrial equipment;

[0056] Step S204, receiving a plurality of sensing data fed back by the industrial equipment, wherein each sensing data carries a measuring point identifier of a measuring point in the industrial equipment where the sensing data is collected;

[0057] Step S206, determining target perception data matching the information model node from the multiple perception data according to the preset gateway configuration template, and performing format conversion on the target perception data, wherein the information model node is a node with a standard data format in the information model template corresponding to the industrial equipment configured by the management platform and corresponding to the multiple perception data types, and the gateway configuration template stores a one-to-one mapping relationship between different measurement point identifiers and different information model nodes, and the mapping relationship includes: data format conversion mode;

[0058] Step S208, sending the converted target perception data to the management platform based on a preset transmission protocol, wherein the management platform is used to store the received target perception data into the corresponding information model node in the information model template to obtain the information model corresponding to the industrial equipment.

[0059] The following describes the various steps of the industrial perception data management method in conjunction with the specific implementation process.

[0060] The intelligent gateway receives the perception data collection instructions from the cloud management platform, which usually include the frequency and type of data collection. The intelligent gateway then forwards these instructions to the corresponding industrial equipment, instructing the equipment to start collecting data according to the instructions.

[0061] Industrial equipment responds to collection instructions, collects perception data from various measurement points, and sends this data back to the intelligent gateway. Each perception data carries the unique identifier of its collection point. The intelligent gateway understands the source and type of the data by parsing these identifiers.

[0062] The intelligent gateway selects the target perception data that matches the information model node from the received perception data set based on the pre-configured gateway template. The gateway template stores the mapping relationship between different measurement point identifiers and information model nodes, including specific data format conversion rules. The intelligent gateway will call the format conversion function corresponding to its data interface to convert the target perception data into the standardized format required by the information model node.

[0063] After the format conversion is completed, the intelligent gateway will send the target perception data to the management platform based on the preset transmission protocol. After receiving the data, the management platform will store it in the corresponding information model node to build a complete information model of the industrial equipment for equipment status monitoring, fault prediction, performance analysis and other purposes.

[0064] The smart gateway also has a self-monitoring function. It periodically sends a heartbeat signal to the management platform. The signal contains the gateway's operating status information, such as identification, timestamp and current status. By analyzing the heartbeat signal, the management platform can understand the operation status of the smart gateway in real time. Once the gateway fails to send a heartbeat signal for a long time, the management platform will be able to detect the abnormality in time and take corresponding measures, such as re-establishing the connection or fault recovery.

[0065] Before uploading data, the smart gateway may also assist the management platform in preliminary classification of data, dividing the sensed data into static and dynamic types. Static data usually contains inherent information of the device, such as device identification, type, firmware version, etc., while dynamic data reflects the operating status of the device, such as temperature, humidity, pressure, speed, etc. This classification helps the management platform to organize and store data more efficiently. Static data can be stored in relational database tables, while dynamic data is stored in time series database tables according to time series, which is convenient for subsequent data analysis and query.

[0066] The above functions of the intelligent gateway not only support real-time data collection, format standardization and upload, but also directly promote the construction of information models. The management platform can build an information model that comprehensively reflects the status of industrial equipment through the data collected by the intelligent gateway, providing accurate data support for equipment management, monitoring and maintenance.

[0067] It should be noted that the various process steps in the industrial perception data management method in the embodiment of the present application correspond one-to-one to the various implementation steps of the industrial perception data management system in Example 1. Since a detailed description has been given in Example 1, some details not reflected in this embodiment can be referred to Example 1, and will not be repeated here.

[0068] Example 3

[0069] According to an embodiment of the present application, an industrial perception data management method is provided for an industrial perception data management system in Example 1. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0070] Figure 3 is a flow chart of an industrial perception data management method provided according to an embodiment of the present application, such as Figure 3 As shown, the method comprises the following steps:

[0071] Step S302, configuring an information model template corresponding to the industrial equipment, wherein the information model template includes: a plurality of information model nodes with a standard data format corresponding to a plurality of types of perception data one by one;

[0072] Step S304, sending a sensed data collection instruction to the industrial equipment through the intelligent gateway, wherein the industrial equipment is used to respond to the sensed data collection instruction, and send the sensed data collected by each measuring point in the industrial equipment to the intelligent gateway, and each sensed data carries the measuring point identifier of the corresponding measuring point; the intelligent gateway is used to determine the target sensed data matching the information model node from the received multiple sensed data according to the preset gateway configuration template, and perform format conversion on the target sensed data, and send the converted target sensed data to the management platform based on the preset transmission protocol, wherein the gateway configuration template stores a one-to-one mapping relationship between different measuring point identifiers and different information model nodes, and the mapping relationship includes: data format conversion method;

[0073] Step S306: store the received target perception data into the corresponding information model node in the information model template to obtain the information model corresponding to the industrial equipment.

[0074] The following describes the various steps of the industrial perception data management method in conjunction with the specific implementation process.

[0075] The management platform first creates an information model template based on the characteristics and needs of industrial equipment. This template contains information model nodes that correspond one-to-one to the type of data perceived by the device. Each node has a predefined data format to ensure standardized representation of the data. The nodes cover dimensions such as device attributes, event information, service capabilities, and subscription information.

[0076] The management platform sends perception data collection instructions to industrial equipment through the intelligent gateway. These instructions contain information about the frequency and type of data collection, guiding the industrial equipment to accurately collect the required perception data from each measurement point. The measurement point identifier carried in the data collection instruction is the key basis for the subsequent data processing by the intelligent gateway.

[0077] The management platform receives the format-converted target perception data uploaded by the intelligent gateway. These data are screened and converted from the original perception data sent by the industrial equipment by the intelligent gateway according to the mapping relationship and data format conversion method in the gateway configuration template.

[0078] The management platform stores the received target perception data in the corresponding information model node in the information model template. For different types of perception data, such as static perception data (such as device inherent information) and dynamic perception data (such as device operation status information), the management platform will use the first preset data structure (such as a relational database table) and the second preset data structure (such as a time series database table) for storage. This process builds the information model of the device and provides a comprehensive and standardized data view for monitoring, analysis and management of the device.

[0079] When configuring information model templates, the management platform adopts a three-level relationship management method of physical objects-templates-units, where physical objects represent industrial equipment, templates represent the information model templates corresponding to the equipment, and units group different industrial equipment according to their functions. This management method helps to organize and maintain complex information models of multiple devices, and facilitates slice management and information query.

[0080] The management platform can also monitor the operating status of industrial equipment through the heartbeat signals received by the smart gateway. Once an equipment abnormality is detected, such as no heartbeat signal is received for a preset number of consecutive cycles, the management platform will generate an abnormal prompt message and promptly notify maintenance personnel to take measures.

[0081] Through the above steps, the management platform not only realizes the precise control and standardized management of the perception data of industrial equipment, but also builds an information model that fully reflects the status of the equipment, providing a solid data foundation for the real-time monitoring, fault prediction, performance analysis and full life cycle management of the equipment. The core role of the management platform is to ensure the interconnection and interoperability of data in the entire system and improve the efficiency and accuracy of data processing and utilization.

[0082] It should be noted that the various process steps in the industrial perception data management method in the embodiment of the present application correspond one-to-one to the various implementation steps of the industrial perception data management system in Example 1. Since a detailed description has been given in Example 1, some details not reflected in this embodiment can be referred to Example 1, and will not be repeated here.

[0083] Example 4

[0084] According to an embodiment of the present application, a computer program product is also provided, which includes a computer program, wherein when the computer program is executed by a processor, the industrial perception data management method in Example 2 or Example 3 is implemented.

[0085] According to an embodiment of the present application, a non-volatile storage medium is also provided, which includes a stored computer program, wherein the device where the non-volatile storage medium is located executes the industrial perception data management method in Example 2 or Example 3 by running the computer program.

[0086] According to an embodiment of the present application, a processor is also provided, which is used to run a computer program, wherein the industrial perception data management method in Example 2 or Example 3 is executed when the computer program is running.

[0087] According to an embodiment of the present application, an electronic device is also provided, which includes: a memory and a processor, wherein a computer program is stored in the memory, and the processor is configured to execute the industrial perception data management method in Example 2 or Example 3 through the computer program.

[0088] Specifically, when the computer program is running, the following steps can be executed: forwarding the perception data collection instruction from the management platform to the industrial equipment; receiving multiple perception data fed back by the industrial equipment, wherein each perception data carries the measurement point identifier of the measurement point in the industrial equipment that collects the perception data; determining the target perception data that matches the information model node from the multiple perception data according to the preset gateway configuration template, and performing format conversion on the target perception data, wherein the information model node is a node with a standard data format that corresponds one-to-one to multiple perception data types in the information model template corresponding to the industrial equipment configured by the management platform, and the gateway configuration template stores a one-to-one mapping relationship between different measurement point identifiers and different information model nodes, and the mapping relationship includes: data format conversion method; sending the converted target perception data to the management platform based on the preset transmission protocol, wherein the management platform is used to store the received target perception data in the corresponding information model node in the information model template to obtain the information model corresponding to the industrial equipment.

[0089] Specifically, when the computer program is running, the following steps can be executed: configuring an information model template corresponding to the industrial equipment, wherein the information model template includes: multiple information model nodes with standard data formats corresponding one-to-one to multiple perception data types; issuing perception data collection instructions to the industrial equipment through the intelligent gateway, wherein the industrial equipment is used to respond to the perception data collection instructions and send the perception data collected by each measuring point in the industrial equipment to the intelligent gateway, and each perception data carries the measurement point identification of the corresponding measurement point; the intelligent gateway is used to determine the target perception data matching the information model node from the received multiple perception data according to the preset gateway configuration template, and format the target perception data, and send the converted target perception data to the management platform based on the preset transmission protocol, wherein the gateway configuration template stores a one-to-one mapping relationship between different measurement point identifications and different information model nodes, and the mapping relationship includes: data format conversion method; storing the received target perception data in the corresponding information model node in the information model template to obtain the information model corresponding to the industrial equipment.

[0090] As an optional implementation, the electronic device may be in the form of a mobile terminal, a computer terminal or a similar computing device. Figure 4 The hardware structure block diagram of an electronic device for implementing the industrial sensing data management method is shown. Figure 4As shown, the electronic device 40 may include one or more (402a, 402b, ..., 402n are used to illustrate) processors 402 (the processor 402 may include but is not limited to a processing device such as a microprocessor MCU or a programmable logic device FPGA), a memory 404 for storing data, and a transmission device 406 for communication functions. In addition, it may also include: a display, an input / output interface (I / O interface), a universal serial bus (USB) port (which may be included as one of the ports of the BUS bus), a network interface, a power supply and / or a camera. It can be understood by those skilled in the art that Figure 4 The structure shown is only for illustration and does not limit the structure of the above electronic device. Figure 4 More or fewer components as shown, or with Figure 4 Different configurations are shown.

[0091] It should be noted that the one or more processors 402 and / or other data processing circuits described above may generally be referred to herein as "data processing circuits". The data processing circuits may be embodied in whole or in part as software, hardware, firmware, or any other combination thereof. In addition, the data processing circuit may be a single independent processing module, or may be incorporated in whole or in part into any of the other components in the electronic device 40. As described in the embodiments of the present application, the data processing circuit acts as a processor control (e.g., selection of a variable resistor terminal path connected to an interface).

[0092] The memory 404 can be used to store software programs and modules of application software, such as the program instructions / data storage device corresponding to the industrial perception data management method in the embodiment of the present application. The processor 402 executes various functional applications and data processing by running the software programs and modules stored in the memory 404, that is, realizing the vulnerability detection method of the above-mentioned application. The memory 404 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory 404 may further include a memory remotely arranged relative to the processor 402, and these remote memories may be connected to the electronic device 40 via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0093] The transmission device 406 is used to receive or send data via a network. The specific example of the above network may include a wireless network provided by a communication provider of the electronic device 40. In one example, the transmission device 406 includes a network adapter (Network Interface Controller, NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the transmission device 406 can be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0094] The display may be, for example, a touch screen liquid crystal display (LCD) that enables a user to interact with a user interface of the electronic device 40 .

[0095] The serial numbers of the above embodiments are only for description and do not represent the advantages or disadvantages of the embodiments.

[0096] In the above embodiments of the present application, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, please refer to the relevant description of other embodiments.

[0097] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of units can be a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0098] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed over multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0099] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0100] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art or all or part of the technical solution, can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of each embodiment method of the present application. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, disk or optical disk, etc. Various media that can store program codes.

[0101] The above are only preferred implementations of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. An industrial perception data management system, characterized in that: include: Management platform on the cloud side, industrial equipment and intelligent gateway on the edge side, including: The management platform is used to configure an information model template corresponding to the industrial equipment, wherein the information model template includes: a plurality of information model nodes with a standard data format corresponding to a plurality of sensory data types; and send a sensory data collection instruction to the industrial equipment through the intelligent gateway; The industrial equipment is used to respond to the sensed data collection instruction and send the sensed data collected by each measuring point in the industrial equipment to the intelligent gateway, wherein each sensed data carries a measuring point identifier of a corresponding measuring point; The intelligent gateway is used to determine the target perception data matching the information model node from the received multiple perception data according to the preset gateway configuration template, and perform format conversion on the target perception data, and send the converted target perception data to the management platform based on the preset transmission protocol, wherein the gateway configuration template stores a one-to-one mapping relationship between different measurement point identifiers and different information model nodes, and the mapping relationship includes: data format conversion mode; The management platform is also used to store the received target perception data into the corresponding information model node in the information model template to obtain the information model corresponding to the industrial equipment.

2. The system according to claim 1, characterized in that In the information model template, the dimensions of the perception data include: device attribute dimension, event information dimension, service capability dimension and subscription information dimension; The perception data type of the device attribute dimension includes at least one of the following: static configuration information and operation status information. The static configuration information includes at least one of the following: device identification, type, and firmware version. The operation status information includes at least one of the following: temperature, humidity, pressure, speed, vibration, current, and voltage. The perception data type of the event information dimension includes at least one of the following: equipment startup, equipment shutdown, equipment alarm, equipment maintenance, fault occurrence, and production completion; The type of perception data of the service capability dimension includes at least one of the following: execution efficiency, energy consumption, failure rate, and production quality; The perception data type of the subscription information dimension includes at least one of the following: early warning information, maintenance requirements, energy consumption trends, and production efficiency prediction information.

3. The system according to claim 1, characterized in that The management platform is used to issue a perception data collection instruction to the industrial equipment through the intelligent gateway, wherein the perception data collection instruction includes a data collection frequency and a data collection type; The industrial equipment is used to respond to the perception data collection instruction, determine the target measurement point corresponding to the data collection type, and control each of the target measurement points to collect perception data according to the data collection frequency, and send all the collected perception data to the intelligent gateway.

4. The system according to claim 1, characterized in that The intelligent gateway includes a plurality of data interfaces corresponding to the plurality of information model nodes one by one, and the gateway configuration template stores configuration information of each data interface, wherein the configuration information includes: a data format conversion method, wherein: The intelligent gateway is used to determine the target perception data matching the information model node from the multiple perception data received according to the gateway configuration template, and determine the target data interface corresponding to the target perception data from multiple data interfaces, determine the target configuration information of the target data interface, call the target data interface to convert the data format of the target perception data into the data format specified by the corresponding information model node according to the target configuration information, and send the target perception data after format conversion to the management platform based on a preset transmission protocol.

5. The system according to claim 1, characterized in that The intelligent gateway is used to periodically send a heartbeat signal to the management platform, wherein the heartbeat signal includes at least one of the following: an identifier of the intelligent gateway, a sending timestamp, and an operating status; The management platform is used to determine the operating status of the intelligent gateway based on the heartbeat signal; when the heartbeat signal sent by the intelligent gateway is not received after a preset number of consecutive cycles, it is determined that the intelligent gateway is operating abnormally and an abnormal prompt message is generated.

6. The system according to claim 1, characterized in that The management platform is also used to determine the static perception data and dynamic perception data in the received target perception data; store each type of the static perception data in a static perception database according to a first preset data structure, wherein the first preset data structure includes: a relational database table; sort each type of the dynamic perception data according to time to obtain a dynamic perception data sequence, and store each of the dynamic perception data sequences in a time series perception database according to a second preset data structure, wherein the second preset data structure includes: a time series database table.

7. The system according to claim 1, characterized in that The management platform is also used to manage the information model templates of multiple industrial equipment in the industrial system according to the three-level relationship of physical object-template-unit when configuring the information model template, wherein the physical object represents the industrial equipment, the template represents the information model template corresponding to the industrial equipment, and the unit is a set of information model templates corresponding to each set of industrial equipment after the multiple industrial equipment in the industrial system are divided according to function.

8. An industrial perception data management method, characterized in that: include: Forward the perception data collection instructions from the management platform to the industrial equipment; Receiving a plurality of sensing data fed back by the industrial equipment, wherein each sensing data carries a measuring point identifier of a measuring point in the industrial equipment where the sensing data is collected; Determine the target perception data matching the information model node from the multiple perception data according to the preset gateway configuration template, and perform format conversion on the target perception data, wherein the information model node is a node with a standard data format in the information model template corresponding to the industrial equipment configured by the management platform and corresponding to multiple perception data types, and the gateway configuration template stores a one-to-one mapping relationship between different measurement point identifiers and different information model nodes, and the mapping relationship includes: data format conversion mode; The converted target perception data is sent to the management platform based on a preset transmission protocol, wherein the management platform is used to store the received target perception data in the corresponding information model node in the information model template to obtain the information model corresponding to the industrial equipment.

9. An industrial perception data management method, characterized in that: include: Configuring an information model template corresponding to the industrial equipment, wherein the information model template includes: a plurality of information model nodes having a standard data format corresponding to a plurality of perception data types one by one; The intelligent gateway is used to issue a perception data collection instruction to the industrial equipment, wherein the industrial equipment is used to respond to the perception data collection instruction and send the perception data collected by each measuring point in the industrial equipment to the intelligent gateway, and each of the perception data carries a measuring point identifier of the corresponding measuring point; the intelligent gateway is used to determine the target perception data matching the information model node from the received multiple perception data according to a preset gateway configuration template, and perform format conversion on the target perception data, and send the converted target perception data to the management platform based on a preset transmission protocol, wherein the gateway configuration template stores a one-to-one mapping relationship between different measuring point identifiers and different information model nodes, and the mapping relationship includes: data format conversion method; The received target perception data is stored in the corresponding information model node in the information model template to obtain the information model corresponding to the industrial equipment.

10. An electronic device, characterized in that: include: A memory and a processor, wherein a computer program is stored in the memory, and the processor is configured to execute the industrial sensing data management method according to claim 8 or 9 through the computer program.

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