CN117196178A - Product manufacturing data information processing platform based on big data - Google Patents
Product manufacturing data information processing platform based on big data Download PDFInfo
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Abstract
The invention provides a product manufacturing data information processing platform based on big data, and relates to the field of product manufacturing. The invention comprises an information processing platform, a quality inspection terminal and a production terminal: the production terminal and the quality inspection terminal are electrically connected with the information processing platform, a processor is arranged in the information processing platform, and a storage module and a feedback module are arranged at the output end of the processor. The processor distributes and transmits the quantity and type data to the storage module, and generates a storage result according to the quantity and type data of the products. The processor distributes and conveys quality inspection data to the feedback module, and the feedback module calculates the problem and the product qualification rate in the production process of the product according to the quality inspection data, and rapidly distributes and stores the warehouse for the product according to the product type, so that the speed from production to storage program completion of the product is ensured, the time waste is reduced, and the condition that the quality of the product is reduced due to untimely storage of the special product is avoided.
Description
Technical Field
The invention relates to a processing platform, in particular to a product manufacturing data information processing platform based on big data, and belongs to the technical field of product manufacturing.
Background
As informatization evolves and progresses, informatization has advanced through two stages toward the third stage. The third stage is positioned as an emerging social productivity, mainly represented by the Internet of things and cloud computing, the two technologies turn up a 4C revolution of monitoring and controlling computer, communication and information content, and network functions start to provide comprehensive application for various industries and social life of the society.
The popularity of informatization produces large amounts of data, referred to as large data, or massive amounts of data, which means that the amount of data involved is so large that it cannot be retrieved, managed, processed, and consolidated in a reasonable time through the mainstream software tools to become more aggressive information that helps business decisions.
Big data have certain application in the product manufacturing process, but mainly play product manufacturing information record, but in the product production process, after staff needs to know product production data, calculate current warehouse according to current warehouse service condition that gathers in real time, calculate current warehouse and can satisfy the needs of product storage, the centre needs more time to throw in and multiparty coordinate, influences the product production and storage step, and some products probably lead to economic loss because of storing untimely.
Disclosure of Invention
In order to achieve the above purpose, the invention is realized by the following technical scheme: the product manufacturing data information processing platform based on big data comprises an information processing platform, a quality inspection terminal and a production terminal:
the production terminal and the quality inspection terminal are electrically connected with the information processing platform, a processor is arranged in the information processing platform, and the output end of the processor is provided with a storage module and a feedback module;
the feedback module comprises a calculation module, a cause analysis module, a data feedback output end and a induction module, wherein the data feedback output end is electrically connected with a production terminal, the output end of the calculation module is provided with a PIXYZ platform, a Unity platform and a rendering module, a processor distributes and transmits quality inspection data to the feedback module, the feedback module calculates problems and product qualification rate in the production process of a product according to the quality inspection data, the output end of the calculation module is electrically connected with a data storage module, the PIXYZ platform is electrically connected with the output end of the data storage module, the Unity platform is electrically connected with the output end of the PIXYZ platform, the rendering module is electrically connected with the output end of the Unity platform, model data is generated into a corresponding three-dimensional CAD model by the PIXYZ platform, and the three-dimensional CAD model is then led into the Unity platform to convert the three-dimensional CAD model data into a dynamic model through the Unity platform;
the storage module comprises a classification module, an information storage module, a storage distribution module and a data output end, wherein the storage distribution module comprises an analysis unit, a storage unit, a conventional storage unit, an emergency storage unit, an early warning unit, a data analysis unit, a market evaluation unit, a control unit and a calculation unit, the output end of the storage distribution module is electrically connected with the storage module, a processor distributes and conveys quantity type data to the storage module, a storage result is generated according to the quantity type data of the products, the storage module stores preset information storage modules, the storage warehouse is rapidly distributed for the products according to the types of the products, the completion speed of the products from production to storage procedures is ensured, time waste is reduced, economic loss caused by product quality reduction due to untimely storage of special products is avoided, and the data output end is electrically connected with a storage terminal and a management terminal.
Preferably, the information processing platform comprises a data input end, the output end of the data input end is electrically connected with the input end of the processor, the data input end is electrically connected with two data input channels, the quality inspection terminal and the output end of the production terminal are respectively electrically connected with the two data input channels, and the data collected by the production terminal and the quality inspection terminal are transmitted to the processor which has an operation function in the information processing platform through the data channels formed by the data input channels and the data input end.
Preferably, the computing module and the classifying module are electrically connected to the output end of the processor, the information storage module is electrically connected to the output end of the classifying module, the storage distribution module is electrically connected to the data output end, the storage distribution module is internally and correspondingly stores the product storage standard with the product, and the storage distribution module is used for distributing the corresponding storage warehouse quantity according to the product storage standard and the product quantity.
Preferably, the output end of the information storage module is electrically connected with the analysis unit, the output end of the analysis unit is electrically connected with the storage unit, the analysis unit is arranged to compare product data with different product storage standard data stored in the information storage module, the conventional storage unit and the emergency storage unit are electrically connected with the storage unit, corresponding staff performs corresponding planning and distribution on the storage warehouse according to a product production plan, the output end of the storage unit is electrically connected with the calculation unit, and the output end of the calculation unit is electrically connected with the data output end.
Preferably, the output end of the calculating unit is electrically connected with the storage unit, the output end of the calculating unit is electrically connected with the control unit, when the calculating unit calculates that the residual quantity of a warehouse is unchanged for a long time, the calculation record of the warehouse in the storage unit enters the data analysis unit through the calculating unit, and the output end of the control unit is electrically connected with the emergency storage unit.
Preferably, the warehouse terminal is electrically connected with a wireless data receiving end, an output end of the wireless data receiving end is electrically connected with the analysis unit, an output end of the calculation unit is electrically connected with the early warning unit, after the quantity of certain warehouse is lower than the minimum quantity set in the early warning unit, alarm information preset in the early warning unit is sent to the warehouse terminal and the management terminal through the data output end, and the output end of the early warning unit is electrically connected with the data output end.
Preferably, the output end of the computing unit is electrically connected with a data analysis unit, the output end of the data analysis unit is electrically connected with a market evaluation unit, the data analysis unit analyzes the calculation record, when the warehouse is not used for a long time, the analysis result is transmitted to the management terminal through the data output end, personnel of the management terminal re-plan the warehouse, and the output end of the market evaluation unit is electrically connected with the data output end.
Preferably, the cause analysis module is electrically connected to the output end of the calculation module, the cause analysis module is electrically connected to the output end of the cause analysis module, the data feedback output end is electrically connected to the output end of the cause analysis module, the second data of the file conveyed by the data feedback output end are summarized by the induction module, the reasons of the problems of the product are the same, and the data feedback output end is electrically connected with the production terminal.
Preferably, the data feedback output end is electrically connected with the storage module, the storage module output end is electrically connected with the cause analysis module, the preset information storage module output end is electrically connected with the calculation module, and data such as product length, width, height, hole position, groove depth, curved surface radian and the like required by a customer in the storage module are stored in the preset information storage module.
Preferably, the output end of the rendering module is electrically connected with a model storage module, the output end of the model storage module is electrically connected with an A/D conversion module, the dynamic model of the dyeing color is converted into communication data by the A/D conversion module and then is sent to the management terminal through a wireless data sending end, a staff of the management terminal is in butt joint with a client through the dynamic model, and the output end of the A/D conversion module is electrically connected with the wireless data sending end.
The invention provides a product manufacturing data information processing platform based on big data, which has the following beneficial effects:
1. the product manufacturing data information processing platform based on big data distributes and transmits the quantity and type data to the warehousing module, and generates a warehousing result according to the quantity and type data of the product. The processor distributes and transmits the quality inspection data to the feedback module, and the feedback module calculates the problems and the product qualification rate in the production process of the product according to the quality inspection data.
2. The product manufacturing data information processing platform based on the big data transmits the product reject rate data to a first internal file of the cause analysis module. The storage module stores the common quality problem cause data of the product, the sample quality inspection result data and the common quality problem cause data of the product are subjected to operation analysis in the cause analysis module, the cause of the problem of the product is found out, and the corresponding sample quality inspection result data and the common quality problem cause of the product are stored in the second file; and (3) carrying out operation analysis in the cause analysis module, and storing corresponding sample quality inspection result data into a third file when the common quality problem cause of the product cannot be found out. After the operation analysis is completed in the cause analysis module, the first file, the second file and the third file are transmitted to the production terminal through the data feedback output end, and the staff can correspondingly adjust the production process or maintain equipment according to the cause frequency of the problem of the product, so that the staff can conveniently control the quality of the product.
3. The product manufacturing data information processing platform based on big data transmits sample quality inspection result data with zero or closest zero compared with the data stored in the preset information storage module to the data storage module. The sample quality inspection result data are stored by the data storage module and are marked by the data storage module to be set as model data, the model data are sent to the PIXYZ platform, the PIXYZ platform generates a corresponding three-dimensional CAD model, the three-dimensional CAD model is then imported into the Unity platform, and the three-dimensional CAD model data are converted into a dynamic model through the Unity platform. And a three-dimensional model is generated by sample quality inspection result data in the quality inspection sample, so that a worker can conveniently judge the quality of the whole batch of products.
4. The product manufacturing data information processing platform based on big data is characterized in that the classification module receives the product quantity and type data and then corresponds to different product storage standards stored in the information storage module, so that the product storage standards corresponding to the product storage in the information storage module are transmitted to the storage distribution module, and the storage distribution module distributes corresponding storage warehouse quantity according to the product storage standards and the product quantity. And the final data output end sends the number of the warehouse and the number of the products to the warehouse terminal, so that staff managing the warehouse terminal carries the products to the inside of the warehouse to finish the warehouse of the products. The warehouse can be rapidly distributed for the products according to the types of the products, the speed from production to the completion of the warehouse procedure is guaranteed, the time waste is reduced, and the economic loss caused by the fact that the quality of the products is reduced due to untimely warehouse of special products is avoided.
5. When the comparison result of the calculation unit shows that the number of the remaining warehouses displayed by the storage unit is insufficient, the control unit electrically connected with the calculation unit enables the number of the remaining warehouses in the emergency storage unit to enter the storage unit. The calculation unit compares the first residual quantity of the display warehouse in the storage unit with the first quantity of the warehouse needed by the product storage, and the calculation unit subtracts the first quantity of the warehouse needed by the product storage from the first quantity of the warehouse, and feeds back the first quantity of the warehouse into the emergency storage unit through the storage unit, so that the warehouse data in the emergency storage unit changes correspondingly. Meanwhile, the data of the warehouse in the emergency storage unit and the data of the warehouse in the conventional storage unit are sent to the warehouse terminal and the management terminal through the data output end, and corresponding staff carry out corresponding planning and distribution on the warehouse according to the product production plan.
6. When the calculation unit calculates that the residual quantity of a certain warehouse is unchanged for a long time, the calculation unit marks the warehouse with the unchanged residual quantity for a long time as a risk warehouse, and a risk warehouse calculation record in the storage unit enters the data analysis unit through the calculation unit. The data analysis unit analyzes the calculation record, when the risk warehouse is not used for a long time, the analysis result is transmitted to the management terminal through the data output end, and personnel managing the management terminal re-plan the use of the risk warehouse. And when the analysis result is that the product corresponding to the risk warehouse is not emptied for a long time, the market evaluation unit analyzes according to the risk warehouse product data and the market feedback data stored in the storage module, calculates corresponding selling price adjustment, and sends the corresponding selling price adjustment to the management terminal through the data output end.
Drawings
FIG. 1 is a schematic diagram of the overall system of the present invention;
FIG. 2 is a system diagram of a computing module according to the present invention;
FIG. 3 is a schematic diagram of a classification module according to the present invention;
FIG. 4 is a schematic diagram of a warehouse distribution module system according to the present invention;
FIG. 5 is a system diagram of a storage unit according to the present invention;
FIG. 6 is a system diagram of a cause analysis module according to the present invention.
Reference numerals illustrate: 1. an information processing platform; 2. a data input; 3. a processor; 4. a classification module; 5. an information storage module; 6. a warehouse distribution module; 7. a data output terminal; 8. a storage terminal; 9. a wireless data receiving end; 10. an analysis unit; 11. a storage unit; 12. a conventional storage unit; 13. an emergency storage unit; 14. an early warning unit; 16. a data analysis unit; 17. a market evaluation unit; 18. a management terminal; 19. a control unit; 20. a storage module; 21. a computing module; 22. a cause analysis module; 23. a data feedback output end; 24. a data storage module; 25. a PIXYZ platform; 26. a Unity platform; 27. a rendering module; 28. a model storage module; 29. an A/D conversion module; 30. a wireless data transmitting end; 31. the information storage module is preset; 32. a quality inspection terminal; 33. a data input channel; 34. a production terminal; 35. a generalization module; 36. and a calculation unit.
Detailed Description
The embodiment of the invention provides a product manufacturing data information processing platform based on big data.
Referring to fig. 1, 2, 3, 4, 5 and 6, the system includes an information processing platform 1, a quality inspection terminal 32 and a production terminal 34:
the production terminal 34 and the quality inspection terminal 32 are electrically connected with the information processing platform 1, a processor 3 is arranged in the information processing platform 1, the information processing platform 1 comprises a data input end 2, the output end of the data input end 2 is electrically connected with the input end of the processor 3, the input end of the data input end 2 is electrically connected with two data input channels 33, the output ends of the quality inspection terminal 32 and the production terminal 34 are respectively electrically connected with the two data input channels 33, the output end of the processor 3 is provided with a storage module and a feedback module, the quality inspection terminal 32 collects quality inspection data of products, and the feedback module calculates problems and product qualification rate in the production process of the products according to the quality inspection data;
the feedback module comprises a calculation module 21, a cause analysis module 22, a data feedback output end 23 and a induction module 35, wherein the output end of the data feedback output end 23 is electrically connected with a production terminal 34, the internal operation analysis of the analysis module 22 finds out the cause of the problem of a product, the output end of the calculation module 21 is provided with a PIXYZ platform 25, a Unity platform 26 and a rendering module 27, the calculation module 21 and a classification module 4 are electrically connected with the output end of a processor 3, the Unity platform 26 converts three-dimensional CAD model data into a dynamic model, the quality of the whole batch of products is judged, an information storage module 5 is electrically connected with the output end of the classification module 4, and a storage distribution module 6 is electrically connected with the output end of the data output end 7;
the warehouse module includes classification module 4, information storage module 5, warehouse distribution module 6 and data output 7, warehouse distribution module 6 distributes warehouse according to product storage standard and product quantity, warehouse distribution module 6 includes analysis unit 10, storage unit 11, conventional storage unit 12, emergent storage unit 13, early warning unit 14, data analysis unit 16, market evaluation unit 17, control unit 19 and calculation unit 36, warehouse distribution module 6 output electric connection has storage module 20, the inside storage of storage module 20 has preset information storage module 31, data output 7 output electric connection has warehouse terminal 8 and management terminal 18.
Specifically, a production terminal 34 is arranged on a product production line, the production terminal 34 collects the quantity and type data of product production, and a quality inspection terminal 32 collects the product quality inspection data. The data collected by the production terminal 34 and the quality inspection terminal 32 are transmitted to the processor 3 which plays a role in operation in the information processing platform 1 through the data channel formed by the data input channel 33 and the data input end 2. The processor 3 distributes and transmits the quantity and type data to the warehousing module, and generates a warehousing result according to the product quantity and type data. The processor 3 distributes and transmits quality inspection data to a feedback module, and the feedback module calculates problems and product qualification rate in the production process of the product according to the quality inspection data.
After the calculation module 21 of the feedback module receives the quality inspection data distributed by the processor 3, the processor 3 calculates product reject ratio data according to the reject number and the sample number in the quality inspection data, and the product reject ratio data is transmitted to the first internal file of the cause analysis module 22. The storage module 20 stores the common quality problem cause data of the product, the quality inspection data and the common quality problem cause data of the product are calculated and analyzed in the cause analysis module 22, the cause of the problem of the product is found out, and the corresponding sample quality inspection data and the common quality problem cause of the product are stored in the second file; the cause analysis module 22 performs operation analysis inside, and stores the corresponding sample quality inspection data into the third file when the cause of the common quality problem of the product cannot be found. After the operational analysis is completed in the cause analysis module 22, the first file, the second file and the third file are transmitted to the production terminal 34 through the data feedback output end 23, and the staff can correspondingly adjust the production process or maintain equipment according to the cause frequency of the problems of the product, so that the staff can conveniently control the quality of the product.
The calculating module 21 performs calculation and comparison according to the preset information storage module 31 stored in the storage module 20 and the quality inspection data. And comparing the data such as the length, width, height, hole position, slot depth, curved surface radian and the like of the sample in the quality inspection data with the data such as the length, width, height, hole position, slot depth, curved surface radian and the like of a product required by a customer and stored in advance in the preset information storage module 31 to obtain a difference result, and transmitting the quality inspection data with the difference result of zero or closest to zero to the data storage module 24. After being stored by the data storage module 24, the quality inspection data are marked by the data storage module 24 to be set as model data, the model data are sent to the PIXYZ platform 25, the model data are generated into corresponding three-dimensional CAD models by the PIXYZ platform 25, the three-dimensional CAD models are then imported into the Unity platform 26, and the three-dimensional CAD model data are converted into dynamic models through the Unity platform 26. And a three-dimensional model is generated by using quality inspection data of a certain sample, so that a worker can conveniently judge the quality of the whole batch of products.
After the processor 3 distributes and conveys the quantity and type data to the warehouse module, the classification module 4 receives the product quantity and type data and then corresponds to different product storage standards stored in the information storage module 5, the product storage standards stored in the product are found and conveyed to the warehouse distribution module 6, and the warehouse distribution module 6 distributes corresponding warehouse quantity according to the product storage standards and the product quantity. And the final data output end 7 sends the number of warehouse and the number of products to the warehouse terminal 8, so that a worker managing the warehouse terminal 8 carries the products to the inside of the warehouse to finish the warehouse of the products. The warehouse can be rapidly distributed for the products according to the types of the products, the speed from production to the completion of the warehouse procedure is guaranteed, the time waste is reduced, the degradation of the quality of the products due to untimely warehouse of special products is avoided, and the economic loss is reduced.
The analysis unit 10 is configured to compare the product data with different product storage standard data stored in the information storage module 5, analyze whether the product storage needs special conditions such as temperature, humidity, air, etc., and when the product needs to be stored in a warehouse with special conditions, store the product in a warehouse with a corresponding category, and set the warehouse with the corresponding category as a warehouse one. The number of the remaining warehouses in the conventional storage unit 12 is recorded in the storage unit 11, the calculation unit 36 compares the number of the remaining warehouses in the conventional storage unit 12 with the number of the warehouses required for storing the product, and when the comparison result of the calculation unit 36 is that the number of the remaining warehouses displayed by the storage unit 11 is insufficient, the control unit 19 electrically connected to the calculation unit 36 makes the number of the remaining warehouses in the emergency storage unit 13 enter the storage unit 11. The calculation unit 36 compares the number of the warehouse-I displayed in the storage unit 11 with the number of the warehouse-I required by the product storage again, and the calculation unit 36 subtracts the number of the warehouse-I required by the product storage from the number of the warehouse-I, and feeds back the calculated number of the warehouse-I to the interior of the emergency storage unit 13 through the storage unit 11, so that the warehouse-I data in the emergency storage unit 13 changes correspondingly. Meanwhile, the warehouse data in the emergency storage unit 13 and the warehouse data in the conventional storage unit 12 are sent to the warehouse terminal 8 and the management terminal 18 through the data output terminal 7, and corresponding staff perform corresponding planning and distribution on the warehouse according to the product production plan.
Referring to fig. 1, 4, 5 and 6 again, the output end of the information storage module 5 is electrically connected with the analysis unit 10, the output end of the analysis unit 10 is electrically connected with the storage unit 11, the output ends of the regular storage unit 12 and the emergency storage unit 13 are both electrically connected with the storage unit 11, the output end of the storage unit 11 is electrically connected with the calculation unit 36, the output end of the calculation unit 36 is electrically connected with the data output end 7, the output end of the calculation unit 36 is electrically connected with the storage unit 11, the output end of the calculation unit 36 is electrically connected with the control unit 19, the output end of the control unit 19 is electrically connected with the emergency storage unit 13, the storage terminal 8 is electrically connected with the wireless data receiving end 9, the output end of the wireless data receiving end 9 is electrically connected with the analysis unit 10, the output end of the calculation unit 36 is electrically connected with the early warning unit 14, the output end of the early warning unit 14 is electrically connected with the data output end 7, the output end of the calculation unit 36 is electrically connected with the data analysis unit 16, the output end of the data analysis unit 16 is electrically connected with the market evaluation unit 17, and the output end of the market evaluation unit 17 is electrically connected with the data output end 7.
Specifically, the calculation unit 36 counts the warehouse data in the emergency storage unit 13 and the warehouse data in the conventional storage unit 12, and when the number of certain warehouse in the warehouse data in the conventional storage unit 12 and the warehouse data in the emergency storage unit 13 is lower than the minimum number set in the early warning unit 14, the preset alarm information in the early warning unit 14 occurs to the warehouse terminal 8 and the management terminal 18 through the data output terminal 7. The personnel responsible for the warehouse terminal 8 or the management terminal 18 can adjust and plan the warehouse use or adjust the product production plan, so as to avoid the situation of economic loss caused by improper storage after the production of the products due to insufficient warehouse quantity.
And when the calculating unit 36 calculates that the remaining quantity of a certain warehouse is unchanged for a long time, the calculating unit 36 marks the warehouse with the remaining quantity unchanged for a long time as a risk warehouse, and the risk warehouse calculation record in the storage unit 11 enters the data analysis unit 16 through the calculating unit 36. The data analysis unit 16 analyzes the calculation records, and when the risk warehouse is not used for a long time, the analysis results are transmitted to the management terminal 18 through the data output terminal 7, and personnel managing the management terminal 18 re-plan the risk warehouse. When the analysis result is that the product corresponding to the risk warehouse is not emptied for a long time, the market evaluation unit 17 analyzes according to the risk warehouse product data and the market feedback data stored in the storage module 20, calculates corresponding selling price adjustment, and sends the corresponding selling price adjustment to the management terminal 18 through the data output end 7.
Referring to fig. 1, 2 and 3 again, the cause analysis module 22 is electrically connected to the output end of the calculation module 21, the cause analysis module 22 is electrically connected to the output end of the cause analysis module 22, the data feedback output end 23 is electrically connected to the output end of the cause analysis module 22, the output end of the data feedback output end 23 is electrically connected to the production terminal 34, the output end of the data feedback output end 23 is electrically connected to the storage module 20, the output end of the storage module 20 is electrically connected to the cause analysis module 22, the output end of the preset information storage module 31 is electrically connected to the calculation module 21, the output end of the calculation module 21 is electrically connected to the data storage module 24, the PIXYZ platform 25 is electrically connected to the output end of the data storage module 24, the Unity platform 26 is electrically connected to the output end of the PIXYZ platform 25, the rendering module 27 is electrically connected to the output end of the Unity platform 26, the output end of the rendering module 27 is electrically connected to the model storage module 28, the output end of the model storage module 28 is electrically connected to the a/D conversion module 29, and the output end of the a/D conversion module 29 is electrically connected to the wireless data transmission end 30.
Specifically, the data such as the length, width, height, hole position, slot depth, and curved surface radian of the product required by the customer in the storage module 20 is stored in the preset information storage module 31, the preset information storage module 31 transmits the data such as the length, width, height, hole position, slot depth, and curved surface radian of the product required by the customer to the calculation module 21, and after the calculation module 21 compares the data with the data such as the length, width, height, hole position, slot depth, and curved surface radian of each sample collected in the quality inspection data, and transmits the sample quality inspection data with zero or closest to zero comparison difference result to the data storage module 24. The data are stored by the data storage module 24 and marked by the data storage module 24 to be set as model data, the model data are sent to the PIXYZ platform 25, the PIXYZ platform 25 generates a corresponding three-dimensional CAD model, the three-dimensional CAD model is then imported into the Unity platform 26, and the three-dimensional CAD model data are converted into a dynamic model through the Unity platform 26. The rendering module 27 renders the dynamic model color to make the dynamic model consistent with the actual product appearance color, and the dynamic model of the rendered color is stored by the model storage module 28, so that the subsequent retrieval and use are convenient. The dynamic model of the rendering color is converted into communication data by the a/D conversion module 29, and then transmitted to the management terminal 18 through the wireless data transmitting terminal 30, and a worker managing the management terminal 18 interfaces with a customer through the dynamic model, and can perform product popularization according to the dynamic model data. And a three-dimensional model is generated by using the product data in the quality inspection sample, so that a worker can conveniently judge the quality of the whole batch of products.
The second data of the file transmitted by the data feedback output end 23 are summarized through the summarizing module 35, the reasons for the problems of the products are the same and are classified, then the calculating module 21 calculates the ratio of the number of the reasons for the problems of each type of product to the number of samples, and the ratio is transmitted to the management terminal 18 through the data feedback output end 23, so that the management personnel of the management terminal 18 can conveniently plan the production and sales plan.
Claims (10)
1. Big data-based product manufacturing data information processing platform, including information processing platform (1), quality control terminal (32) and production terminal (34), its characterized in that:
the production terminal (34) and the quality inspection terminal (32) are electrically connected with the information processing platform (1), a processor (3) is arranged in the information processing platform (1), a storage module and a feedback module are arranged at the output end of the processor (3), the quality inspection terminal (32) collects quality inspection data of products, and the feedback module calculates problems and product qualification rate in the production process of the products according to the quality inspection data;
the feedback module comprises a calculation module (21), a cause analysis module (22), a data feedback output end (23) and a induction module (35), wherein the cause of the problem of the product is found out through internal operation analysis of the analysis module (22), the output end of the data feedback output end (23) is electrically connected with a production terminal (34), the output end of the calculation module (21) is provided with a PIXYZ platform (25), a Unity platform (26) and a rendering module (27), the Unity platform (26) converts three-dimensional CAD model data into a dynamic model, the quality of the whole batch of products is judged, the output end of the calculation module (21) is electrically connected with a data storage module (24), the PIXYZ platform (25) is electrically connected with the output end of the data storage module (24), the Unity platform (26) is electrically connected with the output end of the PIXYZ platform (25), and the rendering module (27) is electrically connected with the output end of the Unity platform (26).
The storage module comprises a classification module (4), an information storage module (5), a storage distribution module (6) and a data output end (7), wherein the storage distribution module (6) distributes storage warehouses according to product storage standards and product quantity, the storage distribution module (6) comprises an analysis unit (10), a storage unit (11), a conventional storage unit (12), an emergency storage unit (13), an early warning unit (14), a data analysis unit (16), a market evaluation unit (17), a control unit (19) and a calculation unit (36), the output end of the storage distribution module (6) is electrically connected with a storage module (20), a preset information storage module (31) is stored in the storage module (20), and the output end of the data output end (7) is electrically connected with a storage terminal (8) and a management terminal (18).
2. The big-data-based product manufacturing data information processing platform of claim 1, wherein: the information processing platform (1) comprises a data input end (2), the output end of the data input end (2) is electrically connected with the input end of the processor (3), the input end of the data input end (2) is electrically connected with two data input channels (33), and the output ends of the quality inspection terminal (32) and the production terminal (34) are respectively electrically connected with the two data input channels (33).
3. The big-data-based product manufacturing data information processing platform of claim 1, wherein: the calculation module (21) and the classification module (4) are electrically connected to the output end of the processor (3), the information storage module (5) is electrically connected to the output end of the classification module (4), and the storage distribution module (6) is electrically connected to the output end of the data output end (7).
4. The big-data-based product manufacturing data information processing platform of claim 1, wherein: the output end of the information storage module (5) is electrically connected with the analysis unit (10), the output end of the analysis unit (10) is electrically connected with the storage unit (11), the output ends of the conventional storage unit (12) and the emergency storage unit (13) are electrically connected with the storage unit (11), the output end of the storage unit (11) is electrically connected with the calculation unit (36), and the output end of the calculation unit (36) is electrically connected with the data output end (7).
5. The big-data-based product manufacturing data information processing platform of claim 1, wherein: the output end of the calculating unit (36) is electrically connected with the storage unit (11), the output end of the calculating unit (36) is electrically connected with the control unit (19), and the output end of the control unit (19) is electrically connected with the emergency storage unit (13).
6. The big-data-based product manufacturing data information processing platform of claim 1, wherein: the storage terminal (8) is electrically connected with the wireless data receiving end (9), the output end of the wireless data receiving end (9) is electrically connected with the analysis unit (10), the output end of the calculation unit (36) is electrically connected with the early warning unit (14), and the output end of the early warning unit (14) is electrically connected with the data output end (7).
7. The big-data-based product manufacturing data information processing platform of claim 1, wherein: the output end of the calculating unit (36) is electrically connected with the data analyzing unit (16), the output end of the data analyzing unit (16) is electrically connected with the market evaluating unit (17), and the output end of the market evaluating unit (17) is electrically connected with the data output end (7).
8. The big-data-based product manufacturing data information processing platform of claim 1, wherein: the system comprises a calculation module (21), a factor analysis module (22), a data feedback output end (23), a production terminal (34) and a data feedback output end (23), wherein the factor analysis module (22) is electrically connected to the output end of the calculation module (21), the factor analysis module (22) is electrically connected to the output end of the factor analysis module (22), and the data feedback output end (23) is electrically connected to the output end of the production terminal (34).
9. The big-data-based product manufacturing data information processing platform of claim 1, wherein: the output end of the data feedback output end (23) is electrically connected with the storage module (20), the output end of the storage module (20) is electrically connected with the cause analysis module (22), and the output end of the preset information storage module (31) is electrically connected with the calculation module (21).
10. The big-data-based product manufacturing data information processing platform of claim 1, wherein: the output end of the rendering module (27) is electrically connected with a model storage module (28), the output end of the model storage module (28) is electrically connected with an A/D conversion module (29), and the output end of the A/D conversion module (29) is electrically connected with a wireless data transmitting end (30).
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