First, the purpose of Gaia's traceability.
The domestic industrial traceability system is in its infancy, and there are many problems in the traceability system in various scenarios.
The traceability system mechanism of industrial production should be based on the whole production and supply process of products, accurate to the links of material acquisition, various processing technologies, producers, transportation and supply. By refining the data collection and industry standards of each link, the traceability accuracy is improved. The whole process from production to consumption involves taking materials, management, processing, packaging, transportation, storage, display and consumption, and each link may bring unsafe factors, including: false materials, inadequate processing technology, irregular packaging operation and substandard technical level; Damage during transportation and storage; Fictitious place of origin or manufacturer, etc. Therefore, there is an urgent need for a traceability scheme for enterprise industrial production scenes to optimize product quality control and enhance enterprise brand value.
The mechanism of infrastructure operation and maintenance traceability system is based on workflow, including equipment status, environmental status, operation and maintenance personnel/processes, etc. By refining the work tasks, the monitoring of operation and maintenance status is improved, so that the infrastructure can work normally under operation and maintenance monitoring, and at the same time, the huge cost of manual operation and maintenance is reduced.
In 20 12, the National Supercomputing Center (NCI) of Australia and the National Aeronautics and Space Administration (NASA) of the United States jointly proposed the PROV-O ontology, and based on this theory, the traceability system of spatial big data was developed. In 20 19, Gaia traceability system was updated and upgraded based on this theory, and combined with blockchain technology, a traceability big data service platform in the commercial field was built to provide a data traceability solution for the transformation of traditional enterprises in the commercial field. The purpose is to help enterprises optimize the industrial and workflow structure, improve quality control to establish and enhance the brand value of enterprises and build word-of-mouth barriers for enterprises in the industry through the traceability of big data solutions. At the same time, through the traceability of production data, help enterprises to establish their own knowledge map, provide preconditions for the application of artificial intelligence and other technologies, and reduce future labor costs.
Second, the document agreement of Gaia traceability
The traceability solution standard of Gaia traceability system is a data traceability logic model based on Provoontology as the mainstream. In the application of data system, the whole traceability system includes: visual traceability background, PROMS service, persistent identification service, customer interface registration of PROMS and PID service, and restful standard development of visual traceability background based on W3C standard. For the database, it is required to have strong processing ability, and for large-scale user access, it is required to optimize the memory to facilitate the query and retrieval of the client. The data traceability client needs to be secure, standard-compliant, open and extensible. The database system should support multi-threading, large-scale relational database query, high-specification concurrent users and good traceability information query and operation functions. In order to improve the query speed, the distributed storage strategy is adopted to save the data, and at the same time, the participants and data in each link of product production are verified through the authority management system, so that the information input personnel in each link can complete their work within limited authority.
During the whole product delivery process, Gaia traceability system will register BaaS service for enterprise users.