CN115984031A - Industrial internet identification classified collection and rapid analysis method - Google Patents
Industrial internet identification classified collection and rapid analysis method Download PDFInfo
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Abstract
The invention discloses a method for classifying, collecting and quickly analyzing industrial internet identifications, and belongs to the field of analysis of industrial internet identifications. The intelligent terminal collects the peripheral equipment to generate an identification code, and the identification code points to all information in the production process. Inputting the identification code into an industrial internet identification analysis secondary node, and analyzing the identification code by taking the secondary node as an analysis node; the secondary node is an intermediate link of an industrial internet identification analysis system and directly provides service for industries and enterprises. And analyzing each level of node by using a sliding window until the analysis of the final level node of the enterprise is completed. And combining the analysis results from the recursion of the last-stage node of the enterprise, and filling the analysis results of the current-stage node into the reserved bits of the last-stage node during combination. The identification codes are split, analyzed and integrated through layering, the load pressure of the secondary nodes is reduced, and the analyzing speed of the system and the network certainty are improved.
Description
Technical Field
The invention belongs to the field of industrial internet identification analysis, and particularly relates to a method for classifying, collecting and rapidly analyzing industrial internet identification.
Background
With the development of industrial internet, the traditional web domain name resolution based on the past has satisfied the requirement of everything interconnection, and the identification object has been extended to more specific and extensive objects such as a product, a part, a transaction, a service and the like.
The identification of the industrial internet can be regarded as an "identity card" of an article, an intelligent manufacturing device, or an object of the internet of things. The analysis of the identification is used for realizing the mapping from the identification to the address of the object across regions, industries and enterprises in the whole industrial internet system, thereby realizing the functions of positioning, information query and the like. The industrial internet identification analysis provides services for industries and enterprises aiming at the analysis of the secondary nodes, and the decomposition of the representation codes and the integration of intermediate analysis results are carried out at the secondary nodes in the existing secondary node analysis method, so that the analysis load of the secondary nodes is large, and the efficiency is reduced.
For example, the chinese patent publication No. CN112200502a is a method for classifying, collecting and rapidly analyzing industrial internet identifiers, which includes: the active identification carrier initiates an identity authentication request; the security access control platform initiates a registration request to the enterprise node; the enterprise node obtains the unique identification registration information and stores the unique identification registration information in a national top level node through an industry second level node; the security access control platform writes the identification registration information into the active identification carrier; the intelligent data acquisition unit acquires various data of the injection mold, generates a database and sends the database to the active identification carrier; when the analysis is realized, the identification is mainly analyzed through the recursion of the industry secondary node, so that the analysis of the secondary node is increased, and the efficiency is too low.
Disclosure of Invention
Aiming at the technical problem, the invention discloses a method for classifying, collecting and rapidly analyzing industrial internet identification, which comprises the following steps:
and collecting the nodes through the intelligent terminal to generate an identification code, wherein the identification code comprises all information in the production process.
Inputting the identification code into a secondary node, and analyzing the identification code by taking the secondary node as an analysis node; the secondary node is an intermediate link of an industrial internet identification and analysis system and directly provides service for industries and enterprises.
And analyzing each level of node by using a sliding window until the analysis of the final level node of the enterprise is completed.
And combining the analysis results from the recursion of the last-stage node of the enterprise, and filling the analysis results of the current-stage node into the reserved bits of the last-stage node during combination.
Each level of node comprises a node identification field, a reserved bit and a node identification field after being analyzed. The identifiers are associated with device types, network response priorities, and are automatically assigned by the system based on registered physical classifications of product devices.
Further, the concrete steps of analyzing each level of nodes are as follows:
and acquiring window data of the node at the current stage.
And utilizing window data to slide and match on the identification code, splitting the identification code, and after matching the identification code with the identification field of the node at the current level, adding a reserved bit behind the identification field.
And marking the residual identification field as a next level node.
And carrying out data analysis on the node marking field of the current level, and matching the analysis result of each level.
The window data is the length of a field defined by each level of nodes.
Further, the identifier parsing module is configured to execute any of the above methods, the terminal acquisition module is configured to perform node acquisition on the device information, and the node information is transmitted to the secondary node through the network.
Furthermore, the reserved bit is used for storing the analysis result of the next-level node, and the reserved bit is a fixed-length space when not being filled with data; and after the reserved bits are filled with data, deleting the blank occupied space.
Further, the data acquisition mode comprises three types of processes:
if the products, materials and parts are judged to have passive identifications such as bar codes and RFID, the identification corresponds to the process execution action of the relevant link, and the scanning action is executed to acquire data;
if the machine or the equipment judges whether an output interface exists, a conversion module, a NBIOT/4G Cat1/Lora and other communication modules and gateways are adopted for data acquisition;
if the machine or the equipment judges that no output interface or interface protocol can not be obtained, but the equipment has a screen for data display, acquiring screen display data in an image recognition OCR mode.
Furthermore, the intelligent terminal attaches the collected type code during uploading, and the type code can be loaded into window data for quick matching.
Compared with the prior art, the invention has the beneficial effects that: (1) The intelligent terminal is used for classifying and collecting information of various production links of equipment, products, materials and machines, so that identification codes and related information can be quickly obtained, and data uniformity, standard normalization and traceability efficiency of data collection are improved; (2) The identifier codes are subjected to splitting, analyzing and integrating technologies in a layering mode, so that the load pressure of secondary nodes is reduced, and the analyzing speed of a system and the certainty of an analyzing network are improved; (3) The identification analysis process is detected by arranging the data evidence storage module and the information monitoring module, so that the safety and the effectiveness of the analysis process are improved.
Drawings
FIG. 1 is a schematic view of the overall process of the analysis method of the present invention.
FIG. 2 is a schematic diagram of a process for resolving matches according to the present invention.
FIG. 3 is a diagram illustrating a hierarchical structure of the parsing process according to the present invention.
FIG. 4 is a schematic view showing the composition of the analytical system of the present invention.
Fig. 5 is a schematic diagram of a collection structure of the intelligent collection terminal of the invention.
Detailed Description
A more complete appreciation of the invention and many of the attendant advantages thereof will be readily obtained as the same becomes better understood by reference to the following detailed description when considered in connection with the accompanying drawings, wherein the accompanying drawings are used to provide a further understanding of the invention and form a part of the same.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below.
The embodiment is as follows: as shown in fig. 4, a block diagram of an exemplary embodiment of an analysis system according to the present application includes a terminal acquisition module, an identifier analysis module, a data storage module, and an information monitoring module, where the terminal acquisition module is configured to acquire and upload production equipment information and production material information in an industrial production process, upload a code of an equipment through the terminal acquisition module, access data to a secondary node, and the identifier analysis module analyzes an identifier field of the equipment based on the secondary node.
In this embodiment, the terminal analysis module adopts an industrial internet edge gateway intelligent terminal to analyze, and the terminal acquisition module can be accessed to a sensor, a bar code/RFID reader/writer and an OCR image recognition device, performs protocol conversion through the terminal acquisition module, and transmits data to the edge gateway intelligent terminal. The data in the analysis process is stored and monitored through the data storage module and the information monitoring module, and uploaded to the server system through the HTTP protocol and the MQTT protocol.
As shown in fig. 1, the specific steps for the analysis of the present application are:
and S1, acquiring nodes through an intelligent terminal, and generating an identification code, wherein the identification code only corresponds to all information pointing to the production process in the enterprise private cloud or the public cloud.
S2, inputting the identification code into a secondary node, and analyzing the identification code by taking the secondary node as an analysis node; the secondary node is an intermediate link of an industrial internet identification analysis system and directly provides service for industries and enterprises.
And S3, analyzing each level of node by using the sliding window, wherein each level of node comprises the node identification field, the reserved bit and the node identification field of the next level after being analyzed until the final level node of the enterprise is analyzed.
And S4, combining the analysis results from the recursion of the last-stage node of the enterprise, and filling the analysis results of the current-stage node into the reserved positions of the previous-stage node during combination.
The acquisition method is divided into three categories: the process is carried out according to the flow:
if the products, materials and parts are judged to have passive identifications such as bar codes and RFID, the identification corresponds to the process execution action of the relevant link, and the scanning action is executed to acquire data;
if the machine or the equipment judges whether an output interface exists, a conversion module, a NBIOT/4G Cat1/Lora and other communication modules and gateways are adopted for data acquisition;
if the machine or the equipment judges that no output interface or interface protocol can not be obtained, but the equipment has a screen for data display, acquiring screen display data in an image recognition OCR mode.
The intelligent terminal is attached with the collected type codes during uploading, and the type codes can be loaded into window data for quick matching.
The specific process of analyzing by using the sliding window in the step S3 is as follows:
step S301, obtaining window data of the node at the current level, wherein the window data is the field length defined by each level of node;
step S302, using window data to slide and match on the identification code, splitting the identification code, and after matching the identification field of the node at the current level, adding a reserved bit behind the identification field; and marking the residual identification field as a next level node. The reserved bit is used for storing the analysis result of the next-level node, and the reserved bit is a fixed-length space when not filled with data; and after the reserved bits are filled with data, deleting the blank occupied space.
Step S303, carrying out data analysis on the node identification field of the current level, and matching the analysis result of each level. And the analysis result is a production flow field corresponding to the identification field.
In the analysis process, window data can be manually set in advance, namely the length of the identification field is specified, and the information of the acquisition type uploaded by the intelligent terminal is adopted in the embodiment to carry out rapid type matching; and self-adaptive window data can be generated through artificial intelligence self-identification. Different window data modes can be selected by configuring different parameters in the analytic system.
A specific process of identifying field splitting and integration is described below with reference to fig. 3:
for a production link, firstly, an identification code of raw materials is obtained through a data acquisition terminal, the identification code is transmitted to a secondary node and is accompanied by a type code of the raw materials, the identification code is put into a sliding window during uploading, the secondary node is used as an analysis node, an identification field of the node at the current level is matched through the sliding window, an analysis result of the node at the current level is obtained, and the type of the identification code is determined according to the analysis result. Then, a fixed-length reserved bit is added after the structure of the node at the current level is analyzed, and the residual node fields are handed to the next level for analysis.
And matching the residual node fields in sequence, storing the analysis result of the current stage, knowing that the analysis of the final-stage node of the enterprise is completed, integrating the analysis results from bottom to top, filling the analysis results into the reserved positions upwards in sequence, deleting the vacant positions behind the reserved positions by each integration stage, and deleting the vacant occupied spaces.
The data of the equipment is acquired by analyzing the identification, the manufacturer of the equipment can be positioned, the equipment manufacturer is remotely operated and maintained by accessing the equipment health management system, and the equipment health management is carried out by the manufacturer of the equipment. When the device code scanning method is used, the device code scanning can be carried out on the device through the field mobile device, the scanning result is the integrated data analyzed through the embodiment, and the device information and the production information can be accurately obtained.
Claims (8)
1. The utility model provides a categorised collection of industry internet sign and quick analytic method, analysis system includes terminal acquisition module, sign analysis module, data deposit card module, information monitoring module, its characterized in that includes following step:
acquiring data of products, machines, equipment or material objects through an intelligent terminal to generate identification codes;
transmitting the identification code to a secondary node, and analyzing and coding data corresponding to the identification code in the aspects of real object relevant state, attribute, circulation and production by using the secondary node;
analyzing each level of node by using a sliding window until the analysis of the final level node of the enterprise is completed;
and combining the analysis results from the recursion of the last-stage node of the enterprise, and filling the analysis results of the current-stage node into the reserved bits of the last-stage node during combination.
2. The method as claimed in claim 1, wherein each node comprises a node identifier field, a reserved bit and a node identifier field after parsing.
3. The method for classified collection and rapid analysis of industrial internet identifiers as claimed in claim 1, wherein the specific steps of analyzing each level of nodes are as follows:
acquiring window data of the node at the current level;
utilizing window data to slide and match on the identification code, splitting the identification code, and adding a reserved bit behind the identification field after matching the identification field of the node at the current level;
marking the residual identification fields as next-level nodes;
and performing data analysis on the node marking field of the current level, and matching the analysis result of each level.
4. The method as claimed in claim 3, wherein the window data is a field length defined for each level of node.
5. The method for classified collection and rapid resolution of industrial internet identifiers according to claim 1, wherein the identifier resolution module can execute at least one instruction, at least one program, code set or instruction set to implement the method for identifier resolution according to any one of claims 1 to 4, the terminal collection module is configured to collect node information of the device, and the node information is transmitted to the secondary node through the network.
6. The method for classified collection and rapid analysis of industrial internet identifiers according to claim 1, wherein the reserved bits are used for storing the analysis result of the next-level node, and the reserved bits are fixed-length spaces when not filled with data; and after the reserved bits are filled with data, deleting the blank occupied space.
7. The industrial internet identification classified collection and rapid analysis method according to claim 1, characterized in that: the data acquisition modes comprise three types, and are carried out according to the flow:
if the products, the materials and the parts judge whether passive identifiers such as bar codes and RFID exist, the identifiers correspond to the process execution actions of relevant links, and scanning actions are executed to acquire data;
if the machine or the equipment judges whether an output interface exists, a conversion module, a NBIOT/4G Cat1/Lora and other communication modules and gateways are adopted for data acquisition;
if the machine or the equipment judges that no output interface or interface protocol can not be obtained, but the equipment has a screen for data display, acquiring screen display data in an image recognition OCR mode.
8. The industrial internet identification classified collection and rapid analysis method according to claim 1, characterized in that: the intelligent terminal is attached with the collected type codes during uploading, and the type codes can be loaded into window data for quick matching.
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Cited By (2)
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| CN116305066A (en) * | 2023-05-17 | 2023-06-23 | 山东青鸟工业互联网有限公司 | Device authentication method, system and storage medium based on active identification carrier |
| CN116633976A (en) * | 2023-07-21 | 2023-08-22 | 江苏未来网络集团有限公司 | Industrial Internet active identification data acquisition method, system, equipment and medium |
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