Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Industrial internet-based production intelligent monitoring method and system and a storage medium

An industrial Internet and intelligent monitoring technology, applied in manufacturing computing systems, biological neural network models, data processing applications, etc., can solve problems such as high labor costs, errors and errors, and high equipment requirements

Active Publication Date: 2021-10-26
重庆允丰科技有限公司
View PDF13 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The first category belongs to manual statistical inventory, which has high labor costs in the implementation process, and there will be errors in manual statistics.
The second category belongs to the use of multi-dimensional hardware for equipment monitoring, which has high accuracy and significantly reduces the cost of manual monitoring and statistics. However, the deployment of a set of such monitoring systems requires customized services, and the requirements for equipment in the factory At the same time, it also creates an additional high cost burden on the enterprise, and the vast majority of small and medium-sized enterprises are not willing to undertake such a set of customized services

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Industrial internet-based production intelligent monitoring method and system and a storage medium
  • Industrial internet-based production intelligent monitoring method and system and a storage medium
  • Industrial internet-based production intelligent monitoring method and system and a storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0036] The industrial Internet-based production intelligent monitoring method provided by the present invention is realized based on the industrial Internet-based production intelligent monitoring system provided by the present invention. Therefore, this embodiment first describes the structure and functions of the production intelligent monitoring system in detail.

[0037] See figure 1 , The current acquisition device is connected to the main shaft motor of the production equipment drive system, and a group of current acquisition devices is associated with one production equipment, and the three-phase current data of the production equipment drive system main shaft motor is monitored and collected at intervals of 10 seconds.

[0038] The current acquisition device synchronously sends the collected current data to the data storage platform, and the data storage platform receives and stores the current information data, mainly including production equipment ID, current acquisit...

Embodiment 2

[0070] On the basis of the first embodiment above, this embodiment provides an industrial Internet-based production intelligent monitoring method, please refer to Figure 8 , mainly including the process of model building and the process of applying the model for capacity monitoring:

[0071] Among them, the model building process includes:

[0072] S10. Conduct current monitoring on the production equipment of the enterprise, obtain the current data of each production equipment, and perform associated labeling on the production products and production processes to which the current data belongs to form a current labeling sample pool;

[0073] In this embodiment, noise reduction processing is also performed on the current data.

[0074] In this embodiment, the current data is time-series data, including current values ​​corresponding to different moments in the set period; after step S10, before step S20, it also includes converting the current data, including:

[0075] Conv...

Embodiment 3

[0110] On the basis of the second embodiment above, this embodiment provides a computer-readable storage medium, where one or more programs are stored in the computer-readable medium, and the one or more programs can be executed by one or more processors, In order to realize the steps of the industrial Internet-based production intelligent monitoring method as described in the second embodiment. For details, refer to the description in the second embodiment above, and details are not repeated here.

[0111] Obviously, those skilled in the art should understand that each module or each step of the present invention described above can be realized by a general-purpose computing device, and they can be concentrated on a single computing device, or distributed on a network formed by multiple computing devices , alternatively, they can be implemented with program codes executable by computing devices, thus, they can be stored in computer storage media (ROM / RAM, magnetic disks, opti...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention provides an industrial internet-based production intelligent monitoring method and system and a storage medium. The method comprises a model establishment process and a process of monitoring an application model, wherein the model establishment process comprises the following steps: S10, forming a current labeling sample pool; S20, predicting a model pool; the process of monitoring by using the application model comprises the following steps: S30, acquiring current current data of the production equipment, inputting the current data into each prediction model under the production equipment, and outputting a matched model with the highest confidence coefficient as a target prediction model; S40, determining a product currently produced by the production equipment and a production process based on the target prediction model; S50, based on the condition of production procedures included in the produced product, achieving capacity monitoring. The method is applied to a machining link, and a set of special capacity monitoring equipment does not need to be customized for a factory, so that customized development can be greatly avoided, the cost control requirements of most small and medium-sized enterprises can be met, and the capacity and the yield can be monitored in real time.

Description

technical field [0001] The present invention relates to the technical field of the industrial Internet, and in particular to a production intelligent monitoring method, system and storage medium based on the industrial Internet. Background technique [0002] In the process of machining equipment for product production, enterprise managers have a high degree of attention to the real-time statistics of equipment production capacity and output. The existing methods for real-time statistics of output and production capacity can be roughly classified into two categories. The first category belongs to manual statistical inventory, which has high labor costs in the implementation process, and manual statistics will also have negligence and errors. The second category belongs to the use of multi-dimensional hardware for equipment monitoring, which has high accuracy and significantly reduces the cost of manual monitoring and statistics. However, the deployment of a set of such monit...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q50/04G06K9/62G06N3/04
CPCG06Q50/04G06N3/048G06F18/241Y02P90/30
Inventor 李禹锋张桂林张清柱陈小宝
Owner 重庆允丰科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products