Disclosure of Invention
In order to solve the problems in the prior art, the application provides the method and the system for acquiring the industrial Internet active identification data, which can realize automatic acquisition, reading and automatic coding uploading of the industrial Internet identification data, liberate manpower from tedious data acquisition, data input, data coding and data uploading, improve the efficiency of industrial data acquisition and greatly reduce the labor and time cost of accessing an enterprise to the industrial Internet.
The application provides an industrial Internet active identification data acquisition method, which comprises the following steps:
monitoring the point position state change of the enterprise industrial equipment and/or the enterprise information system in real time, and acquiring point position updating information;
according to a preset identification coding rule, automatically generating a unique identification coding concurrent code for the point location updating information through the packaged identification analysis middleware;
and binding the point location updating information with the corresponding unique identification code, uploading the bound point location updating information to an enterprise node for storage, and selectively registering the bound point location updating information with a secondary node.
Further, the method further comprises: and inquiring and acquiring the point location updating information through a recursive node or a secondary node, so as to realize remote visual monitoring of equipment and/or a system.
Furthermore, the identification analysis middleware is obtained through an encapsulation industry internet identification analysis system.
Further, the preset identification coding rule comprises a VAA coding rule.
In order to solve the above prior art problems, the present application further provides an active identification data acquisition system for industrial internet, including:
the monitoring and acquiring module is used for monitoring the point position state change of the enterprise industrial equipment and/or the enterprise information system in real time and acquiring point position updating information;
the automatic coding and code transmitting module is used for automatically generating a unique identification code concurrent code for the point location updating information through the encapsulated identification analysis middleware according to a preset identification coding rule;
and the uploading and registering module is used for binding the point location updating information with the corresponding unique identification code, uploading the point location updating information to the enterprise node for storage, and selectively registering the point location updating information to the secondary node.
Further, the system further comprises:
and the recursive query and acquisition module is used for querying and acquiring the point location updating information through a recursive node or a secondary node so as to realize remote visual monitoring of equipment and/or a system.
Further, the system further comprises:
the embedded module is used for embedding a preset active identification carrier into the enterprise industrial equipment and/or the enterprise information system, the preset active identification carrier is provided with an industrial internet identification code and a security certificate, an algorithm and a secret key thereof, and has the functions of networking communication, and being capable of actively initiating network connection to the identification analysis middleware or the identification analysis service node and uploading coded data.
Further, the system also comprises an analysis and prediction module, wherein the analysis and prediction module establishes a predictive maintenance model for the industrial equipment of the enterprise based on big data technology and machine learning algorithm, and performs fault analysis and prediction on the intelligent industrial equipment.
To solve the above-mentioned problems of the prior art, the present application also provides a computer device, including at least one processor, at least one memory, and a data bus; wherein: the processor and the memory complete communication with each other through the data bus; the memory stores a program that is executed by the processor to implement the industrial internet active identification data collection method.
The application also provides a computer readable storage medium, wherein the computer readable storage medium is stored with computer readable instructions, and the computer readable instructions realize the steps of the industrial Internet active identification data acquisition method when being executed by a processor.
Compared with the prior art, the application has at least the following beneficial effects:
1. the automatic acquisition, reading and automatic coding uploading of the industrial Internet identification data can be realized, the labor is liberated from tedious and boring data acquisition, data input, data coding and data uploading, the efficiency of industrial data acquisition is improved, the labor and time cost of accessing an enterprise to the industrial Internet is greatly reduced, and the method is applicable to industrial sites of various environments.
2. The identification analysis system is packaged into the identification analysis middleware, the identification analysis secondary node can be connected upwards, standard unified service is provided for the functions of enterprise and enterprise application access identification registration, data synchronization, analysis and the like, so that the influence of the change of the secondary node on the enterprise is eliminated, the use threshold of the identification analysis technology can be reduced, and the convenience of accessing the identification analysis system is improved.
3. The method can realize data interaction and resource sharing of cross-regional, cross-industry and cross-enterprise, and provides a solid technical base for building industrial Internet at industrial level.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Example 1:
as shown in fig. 1, an embodiment of the present application provides a method for collecting active identification data of an industrial internet, including the following steps:
s101, monitoring point position state changes of enterprise industrial equipment and/or an enterprise information system in real time, and acquiring point position updating information.
In the above steps, the enterprise industrial equipment includes, but is not limited to, field devices, acquisition terminals, such as generating devices, detecting devices, various sensors, etc., and the enterprise information system mainly includes OCS, OMS, EMS, EPR, etc. Specifically, the production and/or running state data of the enterprise industrial equipment can be obtained in real time through a gateway, edge computing equipment or direct connection and the like to detect the point position state change of the equipment, and the point position updating information is obtained through network protocols such as MQTT, TCP or UDP. The real-time monitoring mode of the point position state change of the enterprise information system is two, namely, a system interface can be exposed through a REST API mode, and data can be acquired through real-time or timing call of a URL; secondly, exposing a database of the system in a database access or pushing mode, and reading the point position state change of the database in real time or at fixed time through database connection to acquire the point position updating information of the database; the point location state change comprises database order update, newly added materials, production products, mechanical equipment faults and the like, and can be regarded as point location information update.
S102, according to a preset identification coding rule, automatically generating a unique identification code and transmitting the unique identification code to the point location updating information through the packaged identification analysis middleware.
In the steps, the preset identification coding rules comprise VAA coding rules, the VAA coding rules are components of the ISO/IEC 15459 international standard, are applicable to all ISO member countries worldwide, and are a new generation unique identification system commonly adopted in the fields of international industrial production, industrial supply chains and material disposal at present. The VAA mark has wide application space, can provide global unique marks for various mark objects such as people, objects, institutions and the like in the industrial Internet field, has functions of registration service, user management and the like, meets the development needs of the industrial Internet, and meets the application needs of industrial Internet mark analysis.
The identification resolution middleware is obtained by packaging an industrial Internet identification resolution system, the industrial Internet identification resolution system is an important component of an industrial Internet network system and is a neural center for supporting industrial Internet interconnection and intercommunication, and the function of the industrial Internet identification resolution system is similar to that of a domain name resolution system (DNS) in the Internet field. The core of the industrial Internet identification analysis system comprises identification coding, identification analysis and identification data service. Wherein: 1. identification coding: the method comprises the steps of generating an internet 'identity card' for data (including point location updating information) of machines and articles according to coding rules, namely unique identification codes such as URI format codes: 88.164.2435/AD34RF5634.23454.20230314.2343, "VAA" is the code agency code, "088" is the country code, "100" is the industry code, "12345678" is the business code, and "abc123" is the business inner code. The method comprises the steps of carrying out a first treatment on the surface of the 2. Identification analysis: the unique identification code is utilized to perform unique positioning and information inquiry on the data of the machine and the article, and is a precondition and foundation for realizing accurate butt joint of a global supply chain system and an enterprise production system, full life cycle management of products and intelligent service. 3. Identifying a data service: industrial identification data management and cross-enterprise, cross-industry, cross-regional and cross-country data sharing can be carried out by means of the identification coding resources and the identification analysis system. For example, by resolving the identity of an item, a server address storing information associated therewith may be obtained. The identification analysis is a technical process of 'information transformation' capable of accurately and efficiently acquiring information corresponding to the object identification in a complex network environment.
The identification analysis system is packaged into the identification analysis middleware, a unified identification management system can be built in the local or cloud of an enterprise, so that all production elements such as enterprise industrial equipment, systems, machines and materials are connected, unique identification codes are generated for each piece of equipment, systems, articles and each piece of data (including point location updating data) generated by the equipment, the systems, the articles and the data according to coding rules, the identification analysis connection and the splitting data and the application are used for realizing the grasp of information such as the source, the flowing process and the use of the data, the interaction of the data, the multi-source heterogeneous identification and the resource sharing are solved, and a solid technical base is provided for manufacturing industrial Internet at an industrial level. Products, machines, workshops and factories of enterprises can be opened in the longitudinal dimension, the data sharing among scale and information systems of the bottom layer identification data is realized, and the identification data is analyzed and applied. The method can connect the upstream enterprises and the downstream enterprises of the enterprises in the transverse dimension through butting secondary nodes, the data can be queried as required by utilizing identification analysis, the middle-sized and small-sized enterprises can be transversely connected into a platform, and the data can be shared as required by utilizing the identification analysis.
The identification analysis system is packaged into the identification analysis middleware, the identification analysis secondary node can be connected upwards, standard unified service is provided for the functions of enterprise and enterprise application access identification registration, data synchronization, analysis and the like, so that the influence of the change of the secondary node on the enterprise is eliminated, the use threshold of the identification analysis technology can be reduced, and the convenience of accessing the identification analysis system is improved.
And S103, binding the point location updating information with the corresponding unique identification code, uploading the point location updating information to an enterprise node for storage, and selectively registering the point location updating information to a secondary node.
In the above steps, the point location update information of the point location state change of the enterprise industrial equipment and/or the enterprise information system is obtained, the unique identification code is automatically generated and the new code is issued according to the coding rule by the encapsulated identification analysis middleware, the point location update information and the corresponding unique identification code are bound and uploaded to enterprise nodes of the enterprise local or cloud end for storing and setting data permission, then the data is selectively registered to the secondary nodes in a wired network or wireless network mode according to the data permission, key data of the enterprise can be selected and not uploaded, and other nodes or enterprises can apply permission to access limited data. Furthermore, the user can log in the enterprise node and inquire and acquire corresponding point location updating information from the secondary node or the recursion node according to the unique identification code of the data, and remote visual monitoring of the equipment and/or the system is realized through the corresponding data.
Through each step of the industrial Internet active identification data acquisition method, the automatic acquisition, reading and automatic coding uploading of industrial Internet identification data can be realized, the labor is liberated from tedious and boring data acquisition, data input, data coding and data uploading, the efficiency of industrial data acquisition is improved, the labor and time cost of enterprises accessing the industrial Internet is greatly reduced, the industrial site of various environments can be adapted, more than 60 industrial models and more than 200 industrial protocols are included, the existing common industrial site can be easily docked, and the quick online is realized.
Example 2:
as shown in FIG. 2, the embodiment of the application also provides an industrial Internet active identification data acquisition system, which specifically comprises:
the monitoring and acquiring module 1 is used for monitoring the point position state change of the enterprise industrial equipment and/or the enterprise information system in real time and acquiring point position updating information;
the automatic coding and code transmitting module 2 is used for automatically generating a unique identification code concurrent code for the point location updating information through the encapsulated identification analysis middleware according to a preset identification coding rule;
and the uploading and registering module 3 is used for binding the point location updating information with the corresponding unique identification code, uploading the point location updating information to the enterprise node for storage, and selectively registering the point location updating information to the secondary node.
The industrial Internet active identification data acquisition system can realize automatic acquisition, reading and automatic coding uploading of industrial Internet identification data, liberates manpower from tedious data acquisition, data input, data coding and data uploading, improves the efficiency of industrial data acquisition, greatly reduces the labor and time cost of accessing the industrial Internet by enterprises, and is applicable to industrial sites of various environments.
Further, as shown in fig. 3, the industrial internet active identification data acquisition system further includes a recursive query and acquisition module 4, an embedding module 5 and an analysis and prediction module 6;
the user can log in the system, inquire and acquire corresponding point location updating information from the secondary node or the recursive node through the recursive inquiry and acquisition module 4 according to the unique identification code of the data, and realize remote visual monitoring of the equipment and/or the system through the corresponding data. The user can log in the system only by using a computer, a mobile phone, an iPad or equipment with browser function, and can realize the recursive query and acquisition of the point location updating data by entering the recursive query and acquisition module 4, and the remote monitoring equipment is started, stopped, operated and the like, so that good operation experience is brought to the user.
The embedding module 5 is configured to embed a preset active identifier carrier into the enterprise industrial device and/or the enterprise information system, where the preset active identifier carrier has a function of carrying an industrial internet identifier code and a security certificate, an algorithm and a key thereof, and has a function of networking communication, and being capable of actively initiating network connection to the identifier analysis middleware or the identifier analysis service node, and uploading encoded data. The active identification carrier comprises a Universal Integrated Circuit Card (UICC), a security chip, a communication module, a terminal and other modules. The preset active identification carrier has the following capabilities of actively establishing a network connection channel, carrying an industrial Internet identification code and necessary identity credentials and a security algorithm; secondly, supporting the identification management of an active identification carrier security authentication service platform, and writing, modifying, deleting, inquiring and storing industrial Internet identifications according to the requirements of the platform; thirdly, supporting the identity credential management of the active identification carrier security authentication service platform, and writing, modifying, deleting and storing the identity credential according to the requirements of the platform; and fourthly, supporting the identity authentication of the active identity carrier security authentication service platform.
The analysis and prediction module 6 establishes a predictive maintenance model for the industrial equipment of the enterprise based on big data technology and machine learning algorithm, and performs fault analysis and prediction on the intelligent industrial equipment. Specifically, the analysis and prediction module 6 performs data cleaning, analysis, calculation and feature extraction processing on the state monitoring real-time data, history monitoring data and data of the enterprise information system of the enterprise industrial equipment, performs variable interpretation analysis and data inspection through a reference model based on logistic regression, and performs comparison, verification and prediction through a plurality of enhancement models and reference models constructed based on an XGBOOST algorithm to realize fault predictive operation and maintenance of the equipment.
Example 3:
referring to fig. 4, an embodiment of the present application further provides a computer device, which includes a memory 7, a processor 8, and a network interface 9 communicatively connected to each other through a data bus. It should be noted that only computer devices having components 6-8 are shown in the figures, but it should be understood that not all of the illustrated components are required to be implemented and that more or fewer components may be implemented instead. It will be appreciated by those skilled in the art that the computer device herein is a device capable of automatically performing numerical calculations and/or information processing in accordance with predetermined or stored instructions, the hardware of which includes, but is not limited to, microprocessors, application specific integrated circuits (Application Specific Integrated Circuit, ASICs), programmable gate arrays (fields-Programmable Gate Array, FPGAs), digital processors (Digital Signal Processor, DSPs), embedded devices, etc.
The computer equipment can be a desktop computer, a notebook computer, a palm computer, a cloud server and other computing equipment. The computer equipment can perform man-machine interaction with a user through a keyboard, a mouse, a remote controller, a touch pad or voice control equipment and the like.
The memory 7 includes at least one type of readable storage medium including flash memory, hard disk, multimedia card, card memory (e.g., SD or DX memory, etc.), random Access Memory (RAM), static Random Access Memory (SRAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), programmable Read Only Memory (PROM), magnetic memory, magnetic disk, optical disk, etc. In some embodiments, the memory 7 may be an internal storage unit of the computer device, such as a hard disk or a memory of the computer device. In other embodiments, the memory 7 may also be an external storage device of the computer device, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash Card (Flash Card) or the like. Of course, the memory 7 may also comprise both an internal memory unit of the computer device and an external memory device. In this embodiment, the memory 7 is generally used for storing an operating system installed in the computer device, various types of application software, and a program for storing an industrial internet active identification data collection method, and the memory 7 may also be used for temporarily storing various types of data that have been output or are to be output.
The processor 8 may be a central processing unit (Central Processing Unit, CPU), controller, microcontroller, microprocessor, or other data processing chip in some embodiments. The processor 8 is typically used to control the overall operation of the computer device. In this embodiment, the processor 8 is configured to run a program of the industrial internet active identification data collection method stored in the memory 7. The network interface 9 may comprise a wireless network interface or a wired network interface, which network interface 9 is typically used for establishing a communication connection between the computer device and other electronic devices.
The readable storage medium stores a computer program, and the readable storage medium stores a program of an industrial internet active identification data collection method, and the industrial internet active identification data collection method program can be executed by at least one processor, so that the at least one processor executes the program of the industrial internet active identification data collection method, and the functions of related system modules are realized.
From the above description of the embodiments, it will be clear to those skilled in the art that the above embodiments may be implemented by means of software plus necessary general hardware platforms, but of course also by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) comprising several instructions for causing a terminal device (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to execute the method and system according to the embodiments of the present application.
It is apparent that the above-described embodiments are only some embodiments of the present application, but not all embodiments, and the preferred embodiments of the present application are shown in the drawings, which do not limit the scope of the patent claims. This application may be embodied in many different forms, but rather, embodiments are provided in order to provide a thorough and complete understanding of the present disclosure. Although the application has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that modifications may be made to the embodiments described in the foregoing description, or equivalents may be substituted for elements thereof. All equivalent structures made by the content of the specification and the drawings of the application are directly or indirectly applied to other related technical fields, and are also within the scope of the application.