Machine learning automatic process management and optimization system and method based on micro-service
A machine learning and process management technology, applied in the field of data analysis in the automotive industry, can solve problems such as difficult management, consuming a lot of energy, and mutual interference, and achieve the effect of reducing post-maintenance costs, time costs, and workload.
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0063] Through the visualized abstract algorithm model and its service process, the system uses micro-service technology to realize the data preprocessing process of the algorithm model, the model training process, the model parameter adjustment process, the model comparison process, and the program automatic service package of the model running process. In order to reduce the entry standard of service development technical capabilities for building model services, reduce the cost of algorithm personnel learning service development technology, and reduce the development workload of manual service construction.
[0064] Microservice management of algorithm model programs enables algorithm model services to utilize the management capabilities of microservice operating platforms and microservice container management platforms, reducing the workload of managing algorithm model program versions and algorithm model program service O&M. Through the service orchestration technology of ...
Embodiment 2
[0172] Analysis of energy consumption in painting workshop of production line. The main goal is to analyze which controllable factors are related to the energy consumption of the painting workshop, so as to dynamically adjust the relevant factors, reduce energy consumption, and save natural gas costs. The following examples are processed by this system.
[0173] (1) The data preprocessing process and the model selection process use this system. Directly import and adapt data, and select historical energy consumption analysis model services. Quickly determine the feasibility of scene model construction, the consumption time is 1 day, and the model R2 value is less than 50%. It is determined that the data range is too small and additional data is required. The historical simulation time takes one week to consume. Reduce manual workload by 80%.
[0174] (2) After expanding the dimension of the simulated data, run the simulation again, and simply manually process and mark the...
PUM
![No PUM](https://static-eureka.patsnap.com/ssr/23.2.0/_nuxt/noPUMSmall.5c5f49c7.png)
Abstract
Description
Claims
Application Information
![application no application](https://static-eureka.patsnap.com/ssr/23.2.0/_nuxt/application.06fe782c.png)
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap