Data management system for manufacturing industry data

Abstract

The invention discloses a data management system for manufacturing industry data. The data management system comprises a product module used for acquiring product production data, a feedback module used for acquiring product feedback data based on the product production data, and a monitoring module used for monitoring product production based on the product feedback data. The beneficial effects of the invention lie in that the product production data is managed through the data management system, the product feedback data of related products is obtained, and the production cost, the product quality and the production efficiency during product production are monitored more accurately according to the product feedback data. The system has wide popularization space and use value.

Description

Technical Field

[0001] The present invention relates to data governance, and in particular, to a data governance system for manufacturing industry data. Background Art

[0002] Manufacturing is one of the pillar industries of the national economy. It is a guarantee for achieving modernization and a manifestation of comprehensive national strength. With the increasing development of social economy and science and technology, modern manufacturing is also constantly developing in the direction of automation, informatization and intelligence. At present, many manufacturing industries are industrial clusters dominated by small and medium-sized enterprises. In product design and manufacturing, the manufacturing industry mainly adopts a model of variety and large batches. The types and quantities of raw materials required in the product manufacturing process are numerous and the sources are also diverse, making it difficult to effectively control the production progress.

[0003] These links in modern manufacturing are accompanied by a large amount of data. With the advancement of science and technology, the potential and value of data are gradually recognized and accepted by society. Combining data with manufacturing will promote a comprehensive reform of manufacturing design and management. Using this data, you can analyze and predict invisible problems, dig out problems from the data and avoid them. Effective management of this data and giving full play to the role of data can avoid visible or invisible problems in the manufacturing process, provide a more convenient production monitoring method for the manufacturing industry, reduce production costs, and improve production quality and efficiency. Summary of the invention

[0004] The present invention provides a data governance system for manufacturing data, which aims to manage product production data through a data management system, obtain product feedback data of related products, and more accurately monitor production cost, product quality and production efficiency issues when producing products based on the product feedback data.

[0005] In order to achieve the above-mentioned purpose, the present invention provides a technical solution: a data governance system for manufacturing data, comprising: a product module for acquiring product production data, a feedback module for acquiring product feedback data based on the product production data, and a monitoring module for monitoring product production based on the product feedback data.

[0006] As a preferred solution for the data governance system, the product production data includes: product model data, production raw material data, product inventory data, production progress data and product finished product data.

[0007] As a preferred solution of the data governance system, the product module includes: a model sub-module for obtaining the product model data, a raw material sub-module for obtaining the production raw material data based on the product model data, an inventory sub-module for obtaining the product inventory data, a progress sub-module for obtaining the production progress data based on the production raw material data and the product inventory data, and a finished product sub-module for obtaining the product finished product data.

[0008] As a preferred solution of the data governance system, a data management system is used to manage the product production data.

[0009] As a preferred solution for the data governance system, the data management system includes a relational data management system and a non-relational data management system. The relational data management system adopts an Oracle database, and the non-relational data management system adopts a MongoDB database.

[0010] As a preferred solution for the data governance system, the product feedback data includes: product cost data, product quality data and production efficiency data.

[0011] As a preferred solution of the data governance system, the feedback module includes: a cost sub-module for obtaining the product cost data based on the product production data, a quality sub-module for obtaining the product quality data based on the product production data, and an efficiency sub-module for obtaining the production efficiency data based on the product production data.

[0012] As a preferred solution for the data governance system, the monitoring module monitors the production cost issues when producing products based on the product cost data, monitors the product quality issues when producing products based on the product quality data, and monitors the production efficiency issues when producing products based on the production efficiency data.

[0013] Compared with the prior art, the beneficial effects of the present invention are at least that: by managing product production data through the data management system, product feedback data of related products is obtained, and the production cost, product quality and production efficiency issues when producing products are more accurately monitored according to the product feedback data. The system has broad promotion space and use value. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 4 is a system module diagram of an embodiment of the present invention.

[0015] Figure 2 4 is a relationship diagram of a data management system in an embodiment of the present invention. Implementation

[0016] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0017] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments.

[0018] See also Figure 1 , the figure shows a data governance system for manufacturing data.

[0019] The data governance system includes: a product module, a feedback module and a monitoring module. The feedback module is connected to the product module and the monitoring module respectively.

[0020] The product module includes: a model submodule, a raw material submodule, an inventory submodule, a progress submodule and a finished product submodule.

[0021] In order to shorten the product life cycle, save production time and improve production efficiency, in the embodiment of the present invention, parallel design management is adopted among the model submodule, raw material submodule, inventory submodule, progress submodule and finished product submodule.

[0022] The model submodule obtains product model data representing relevant parameters of the product model according to the product model. The product model data includes but is not limited to: product model size, product model weight, product model color code and product model raw material type code.

[0023] The raw material submodule generates a corresponding raw material list according to the product model data to obtain production raw material data representing the raw material related data used in product production. The production raw material data includes but is not limited to: raw material type code, the amount of raw materials required for each product model, the amount of purchased raw materials and the price of raw materials.

[0024] The inventory submodule obtains product inventory data representing the inventory quantity and inflow and outflow of finished products according to the inflow information and outflow information. The product inventory data includes but is not limited to: the outflow quantity of finished products, the inflow quantity of finished products and the inventory quantity of finished products.

[0025] The progress submodule obtains production progress data representing the production progress according to the production raw material data and the product inventory data. The production progress data includes but is not limited to: the time used to produce each finished product, the production line working time, the production line code, the total number of production lines and the number of production line work.

[0026] The finished product submodule is used to obtain finished product data representing relevant parameters of the produced molded product. The finished product data includes but is not limited to: finished product code, finished product size and finished product weight.

[0027] The product model data, the production raw material data, the product inventory data, the production progress data and the product finished product data constitute the product production data, and are all used as basic data in the embodiment of the present invention.

[0028] The feedback module includes: a cost submodule, a quality submodule and an efficiency submodule.

[0029] The cost submodule obtains product cost data representing the production cost of the product based on the valid data of the production raw material data in the relational data management system.

[0030] The quality submodule obtains product quality data representing the product qualification rate according to the valid data of the product model data and the valid data of the product finished product data in the relational data management system.

[0031] The efficiency submodule calculates production efficiency data representing production efficiency based on valid data of production raw material data, valid data of product inventory data and valid data of production schedule data in the relational data management system.

[0032] The product cost data, the product quality data and the production efficiency data constitute the product feedback data in the embodiment of the present invention.

[0033] The monitoring module can monitor the production cost issues when producing products based on the product cost data, can monitor the product quality issues when producing products based on the product quality data, and can monitor the production efficiency issues when producing products based on the production efficiency data.

[0034] See also Figure 2 In the embodiment of the present invention, a data management system is used to manage various basic data. The data management system includes: a relational data management system and a non-relational data management system. The relational data management system uses an Oracle database to manage data. Oracle database is a relational data management system with complete data management functions and can complete the relationship between data. The non-relational data management system uses a MongoDB database to manage data. MongoDB database is a high-performance non-relational database that supports loose data structures and can store relatively complex data types.

[0035] Utilizing the existing original manufacturing data, based on industry background knowledge, analysis experience and data characteristics, characteristic attributes that meet the requirements are extracted from the original manufacturing data attributes, the data of the same attribute is decomposed and analyzed, and the data indicators with stronger characteristics are further refined and extracted as auxiliary characteristic attributes. The characteristic attributes and the auxiliary characteristic attributes are combined to obtain the data quality detection standard. In the embodiment of the present invention, after testing according to the data quality detection standard, the data that meets the data quality detection standard is represented as valid data, and the data that does not meet the data quality detection standard is represented as invalid data. The valid data is stored in the relational data management system, and the invalid data is stored in the non-relational data management system.

[0036] According to the actual situation of the manufacturing industry, a valid time threshold is set for the relational data management system, and an invalid time threshold is set for the non-relational data management system. Valid data whose storage time exceeds the valid time threshold in the relational data management system is stored in the relational data storage device; invalid data whose storage time exceeds the invalid time threshold in the non-relational data management system is stored in the non-relational data storage device, thereby saving storage space of the data management system.

[0037] The product model data, the production raw material data, the product inventory data, the production progress data and the finished product data are respectively subjected to data quality inspection according to the data quality inspection standard, and the obtained valid data is stored in the relational data management system for management, and the invalid data is stored in the non-relational data management system for management.

[0038] The embodiments described above are only descriptions of the preferred embodiments of the present invention and are not intended to limit the scope of the present invention. Without departing from the design spirit of the present invention, various modifications and improvements made to the technical solutions of the present invention by ordinary technicians in this field should all fall within the protection scope determined by the claims of the present invention.

Claims

1. A data governance system for manufacturing data, characterized in that: include: A product module for acquiring product production data, a feedback module for acquiring product feedback data based on the product production data, and a monitoring module for monitoring product production based on the product feedback data.

2. The data management system according to claim 1, characterized in that: The product production data includes: product model data, production raw material data, product inventory data, production progress data and product finished product data.

3. The data management system according to claim 2, characterized in that: The product module includes: a model submodule for acquiring the product model data, a raw material submodule for acquiring the production raw material data based on the product model data, an inventory submodule for acquiring the product inventory data, a progress submodule for acquiring the production progress data based on the production raw material data and the product inventory data, and a finished product submodule for acquiring the product finished product data.

4. The data management system according to any one of claims 1 to 3, characterized in that: A data management system is used to manage the product production data.

5. The data management system according to claim 4, characterized in that: The data management system includes a relational data management system and a non-relational data management system. The relational data management system adopts an Oracle database, and the non-relational data management system adopts a MongoDB database.

6. The data management system according to claim 1, characterized in that: The product feedback data includes: product cost data, product quality data and production efficiency data.

7. The data management system according to claim 6, characterized in that: The feedback module includes: a cost submodule for acquiring the product cost data based on the product production data, a quality submodule for acquiring the product quality data based on the product production data, and an efficiency submodule for acquiring the production efficiency data based on the product production data.

8. The data management system according to claim 7, characterized in that: The monitoring module monitors production cost issues when producing products based on the product cost data, monitors product quality issues when producing products based on the product quality data, and monitors production efficiency issues when producing products based on the production efficiency data.

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