CN-121861743-B - Intelligent information monitoring system for industrial automatic processing production line

CN121861743BCN 121861743 BCN121861743 BCN 121861743BCN-121861743-B

Abstract

The invention relates to the field of industrial production line informatization, which is used for solving the problems that a large amount of redundant data is generated due to the lack of a targeted differential acquisition mechanism in a conventional system and the response speed and the analysis depth of the system are influenced, in particular to an intelligent information monitoring system of an industrial automatic processing production line, which is characterized in that the production line is divided into layers and areas, differential information acquisition density is configured for the production line, the acquisition strategies of high-risk areas and low-risk areas are dynamically adjusted, the method has the advantages that the accurate control of the data acquisition behavior is realized, wide area monitoring can be maintained with lower resource consumption when the production line normally operates, perception can be enhanced immediately when abnormal symptoms are found, monitoring resource distribution is realized as required, meanwhile, the diagnosis and treatment of potential faults of the production line are realized by utilizing the rapid response of edge calculation and the depth insight advantage of cloud computing, and the reliability and the intelligent operation and maintenance level of the production process are improved.

Inventors

ZHAO CHAOQUN
LI TIE
ZHANG WEI
ZHOU ZHONGQI
Ma Shizeng
GAO FENG
KONG BOWEN
WANG ZHAOHUA
FAN ENHUI
LIU WENTAO
FENG XIAOLEI

Assignees

本钢板材股份有限公司

Dates

Publication Date: 20260512
Application Date: 20260318

Claims (7)

1. The intelligent information monitoring system for the industrial automatic processing production line is characterized by comprising a real-time information acquisition module, wherein the real-time information acquisition module can acquire operation information of different partitions of the production line according to a set information acquisition instruction to obtain an operation parameter data packet of the corresponding production line; the acquisition control module can acquire an operation parameter data packet, performs local analysis and judgment according to the operation parameter data packet, and divides the operation parameter data packet into a high-risk abnormal data block and a suspected abnormal data block according to an analysis and judgment result; The transmission control module can acquire the operation parameter data packet, carries out primary priority division according to the division result of the operation parameter data packet, and carries out secondary priority division through the data source of the operation parameter data packet; The priority decision module acquires a primary priority division result and a secondary priority division result, generates an information transmission sequence according to the priority division result, and transmits the information transmission sequence back to the transmission control module; The transmission control module simultaneously acquires current industrial ring network parameters, and performs information cloud loading on the operation parameter data packet according to the industrial ring network parameters and the information transmission sequence; The cloud computing analysis module is used for carrying out cloud deep analysis on the operation parameter data packet after acquiring the operation parameter data packet, obtaining operation state analysis of the production line according to the result of the cloud deep analysis, and simultaneously, returning the operation state analysis result of the production line to the acquisition control module; The acquisition control module generates an optimized information acquisition instruction again according to the production line operation state and feeds back the optimized information acquisition instruction to the real-time information acquisition module, and the real-time information acquisition module acquires production line operation information according to the optimized information acquisition instruction; The information acquisition instructions acquired by the information acquisition module comprise information acquisition areas and information acquisition densities, wherein the information acquisition areas are used for dividing the production line into layers and areas to obtain a plurality of subareas; The information acquisition density acquired by the information acquisition module comprises data acquisition frequency and data acquisition quantity, wherein the data acquisition frequency is an acquisition interval when information acquisition is carried out, and the data acquisition quantity is the number of acquired information types; and the information acquisition module creates a plurality of sub-data packets according to different levels and different sub-areas and collects the sub-data packets into an operation parameter data packet.
2. The intelligent monitoring system for information of an industrial automatic processing line according to claim 1, wherein the acquisition control module performs fault prediction on a plurality of sub-data packets to obtain fault prediction results of different levels and different sub-areas, and the fault prediction results comprise a fault result with high confidence and a fault result with low confidence; The acquisition control module marks the level and the sub-area corresponding to the fault result with high confidence as a high-risk area, and the corresponding sub-data packet is recorded as a high-risk abnormal data block; The acquisition control module records a level and a region corresponding to the low-confidence fault result as a low-risk region, and records a corresponding sub-data packet as a suspected abnormal data block; And the acquisition control module records the operation information of other areas as normal data blocks.
3. The intelligent monitoring system for industrial automatic processing line information according to claim 2, wherein when the transmission control module performs primary priority classification, a high-order abnormal data block is used as a high transmission priority, a suspected abnormal data block is used as a normal transmission priority, and a normal data block is used as a low transmission priority; When the transmission control module performs secondary priority classification, counting the corresponding level of each sub-data packet, checking the standard reaching property of the sub-data packet contained in each level to obtain the duty ratio of high-risk abnormal data blocks and suspected abnormal data blocks in the sub-data packet corresponding to each level, and then performing weighted summation on the duty ratio to obtain evaluation values of different levels; And the transmission control module ranks the network layer evaluation value, the relay layer evaluation value and the processing layer evaluation value according to a mode from high to low to obtain a secondary priority classification result.
4. An intelligent monitoring system for information on an industrial automation processing line according to claim 3, wherein the priority decision module generates a primary transmission sequence with three priorities according to the primary priority division result, and internally ranks each priority in the generated primary transmission sequence again according to the secondary priority, so as to obtain an information transmission sequence with nine priorities.
5. The intelligent monitoring system for industrial automation processing line information according to claim 3, wherein the transmission control module obtains network parameters of the industrial ring network through the network probe matrix, ranks the current network state through the network parameters, and if the evaluation result is excellent, the intelligent monitoring system is carried out by adopting a mode of block common transmission in an information transmission sequence, and if the evaluation result is abnormal, the intelligent monitoring system is carried out by adopting a mode of sequential stepwise transmission.
6. The intelligent monitoring system for information of an industrial automatic processing production line according to claim 1, wherein after the cloud computing analysis module obtains an operation parameter data packet, sub-data packets of a network layer, a relay layer and a processing layer in the operation parameter data packet are combined and analyzed by utilizing cloud computing force, more accurate fault analysis is performed by the cloud computing force, a production line level fault probability and a production line area fault probability are obtained, and then the two groups of fault probabilities are overlapped to obtain final production line operation state analysis.
7. The intelligent information monitoring system of the industrial automatic processing production line according to claim 1, wherein the acquisition control module records the subareas as a high-risk area, a low-risk area and a normal area, and executes different information acquisition densities and information acquisition amounts for different areas through the real-time information acquisition module.

Description

Intelligent information monitoring system for industrial automatic processing production line Technical Field The invention relates to the field of industrial production line informatization, in particular to an intelligent information monitoring system for an industrial automatic processing production line. Background The industrial automatic processing production line is the core of modern manufacturing industry, stable and efficient operation is vital to guaranteeing product quality and improving production efficiency, along with the development of technologies such as internet of things and big data, real-time monitoring of the operation state of the production line has become a basic means for realizing intelligent manufacturing, and a conventional monitoring system generally collects data by deploying various sensors on the production line and transmits the data to a monitoring center or a cloud platform for analysis and display through a network, wherein related contents are disclosed in patent application CN118916245B, CN 109710678B. However, the existing monitoring system still has a plurality of limitations, firstly, at the data acquisition level, most systems adopt acquisition strategies of fixed frequency and fixed data types, and lack of differentiated acquisition mechanisms aiming at different areas and different equipment criticality of a production line, so that a large amount of redundant data is generated, network bandwidth and storage resources are occupied, and the depth data capturing capability of a potential fault area is easily insufficient; In addition, in the data analysis and decision closed-loop level, efficient coordination is not available between on-site edge calculation and cloud strong calculation power, the result of the edge side primary analysis cannot effectively guide real-time optimization of a front-end acquisition strategy, and the depth analysis conclusion of the cloud is difficult to timely and accurately feed back to an on-site execution layer, so that the response speed of the whole system is limited. The invention provides a solution to the technical problem. Disclosure of Invention The invention divides the production line into layers and areas, configures differentiated information acquisition density for the production line, dynamically adjusts the acquisition strategies of the high-risk area and the low-risk area, realizes accurate control of data acquisition behaviors, enables the production line to maintain wide area monitoring with lower resource consumption when operating normally, enhances perception immediately when abnormal symptoms are found, realizes on-demand allocation of monitoring resources, simultaneously utilizes the rapid response of edge calculation and the depth insight advantage of cloud calculation, realizes diagnosis and treatment of potential faults of the production line, improves the reliability and intelligent operation and maintenance level of the production process, and provides an intelligent information monitoring system of the industrial automatic processing production line. The intelligent monitoring system for the information of the industrial automatic processing production line comprises a real-time information acquisition module, wherein the real-time information acquisition module can acquire the operation information of different partitions of the production line according to a set information acquisition instruction to obtain a corresponding operation parameter data packet of the production line; the acquisition control module can acquire an operation parameter data packet, performs local analysis and judgment according to the operation parameter data packet, and divides the operation parameter data packet into a high-risk abnormal data block and a suspected abnormal data block according to an analysis and judgment result; The transmission control module can acquire the operation parameter data packet, carries out primary priority division according to the division result of the operation parameter data packet, and carries out secondary priority division through the data source of the operation parameter data packet; The priority decision module acquires a primary priority division result and a secondary priority division result, generates an information transmission sequence according to the priority division result, and transmits the information transmission sequence back to the transmission control module; The transmission control module simultaneously acquires current industrial ring network parameters, and performs information cloud loading on the operation parameter data packet according to the industrial ring network parameters and the information transmission sequence; The cloud computing analysis module is used for carrying out cloud deep analysis on the operation parameter data packet after acquiring the operation parameter data packet, obtaining operation state analysis of the production line according to the