CN111339195A - Quality control system and method based on block chain and computer readable storage medium - Google Patents
Quality control system and method based on block chain and computer readable storage medium Download PDFInfo
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Abstract
The invention discloses a quality control system and method based on a block chain and a computer readable storage medium, wherein the quality control system based on the block chain comprises the following steps: the production process module is used for monitoring the product quality information in the production process in real time and dynamically adjusting the production process parameters according to the product quality information; the data acquisition and analysis module is used for acquiring product quality measurement data in the production process in real time, generating a product quality risk assessment report according to the product quality measurement data, identifying key information in the product quality risk assessment report, and uploading the key information to the block chain for uplink storage; and the quality intelligent decision monitoring module is used for acquiring the product quality measurement data of the data acquisition and analysis module so as to generate a product production risk report according to the production control standard parameters and the product quality measurement data, thereby realizing that the potential risk of the product quality in the product manufacturing process can be prevented in advance.
Description
Technical Field
The present invention relates to the field of blockchains, and in particular, to a system and a method for quality control based on blockchains, and a computer-readable storage medium.
Background
In the era of blockchain 3.0, the blockchain has decentralization, openness, autonomy, anonymity, information non-falsification and the like, so that the blockchain can be understood as a worldwide distributed book, and if the blockchain technology is applied to product quality tracing in the manufacturing industry, the transparency and reliability of data can be greatly improved.
At present, in the product manufacturing process and the product flowing process, product data need to be traced and analyzed, the influence caused by product quality abnormity is reduced, and the quality problem of products in batches is rapidly solved.
The above is only for the purpose of assisting understanding of the technical aspects of the present invention, and does not represent an admission that the above is prior art.
Disclosure of Invention
The present invention mainly aims to provide a quality control system and method based on a block chain, and a computer readable storage medium, and aims to solve the technical problem that the potential risk of the product quality in the product manufacturing process cannot be prevented in advance.
In order to achieve the above object, the present invention provides a quality control system based on a block chain, including:
the production process module is used for monitoring the product quality information in the production process in real time and dynamically adjusting the production process parameters according to the product quality information;
the data acquisition and analysis module is used for acquiring product quality measurement data in the production process in real time, generating a product quality risk assessment report according to the product quality measurement data, identifying key information in the product quality risk assessment report, and uploading the key information to the block chain for uplink storage;
and the quality intelligent decision monitoring module is used for acquiring the product quality measurement data of the data acquisition and analysis module so as to generate a product production risk report according to the production control standard parameters and the product quality measurement data.
Preferably, the production process module is further configured to perform a sampling inspection on the product in the production process, generate a detection result, and upload the detection result to the block chain for uplink storage.
Preferably, the quality control system based on the block chain further includes:
the raw material management module is used for acquiring raw material quality information corresponding to a preset product of the client, uploading the raw material quality information corresponding to the preset product of the client to the block chain for chain storage, and sending the raw material quality information corresponding to the preset product of the client to the client through the block chain;
and the warehouse storage module is used for receiving the raw materials of the supply end, performing sampling inspection on the raw materials of the supply end according to the production standard parameters, receiving and warehousing the raw materials passing the sampling inspection, generating corresponding receiving information, uploading the receiving information to the block chain for chain storage, and sending the receiving information to the client through the block chain.
Preferably, the material management module is further configured to acquire data transfer information of a material, and upload the data transfer information to the block chain storage uplink.
Preferably, the warehouse storage module is further configured to automatically return the raw materials that do not pass the spot inspection, generate corresponding return information, and upload the return information to the block chain for chain storage, so as to send the receiving information to the supply end through the block chain.
Preferably, the quality control system based on the block chain further includes:
the quality tracing function module is used for establishing a tracing chain based on a block chain so as to trace the product through the tracing chain;
and the query module is used for carrying out forward tracing and reverse tracing on the product through the quality tracing function module so as to obtain the raw material quality information, the product quality information, the data circulation information and/or the product shipment information of the product.
In addition, to achieve the above object, the present invention further provides a quality control method based on a block chain, where the quality control method includes the following steps:
receiving raw material quality information of a supply end, uploading the raw material quality information to a block chain and storing the raw material quality information in a chain mode, and sending the raw material quality information to a client through the block chain;
the method comprises the steps of acquiring product quality information of raw materials in a production process in real time, uploading the product quality information to a block chain for chain storage, and sending the product quality information to a client through the block chain;
and acquiring shipment information of the product, and uploading the shipment information to a block chain for chain storage.
Preferably, the method comprises the steps of obtaining circulation data of a product, uploading the circulation data to a block chain and storing the circulation data in an uplink mode, and sending the circulation data to a client through the block chain;
and generating an individual bar code corresponding to the product, and tracing the product through the individual bar code and the circulation data.
Preferably, the individual barcodes are associated with the circulation data;
acquiring circulation data of the product based on the individual bar code of the product;
and analyzing the risk points of the circulation data.
Further, to achieve the above object, the present invention also provides a computer readable storage medium, on which a block chain based quality control program is stored, which when executed by a processor implements the steps of the block chain based quality control method according to any one of the above.
The quality control system based on the block chain comprises a production process module, a data acquisition and analysis module and a block chain link storage and quality intelligent decision monitoring module, wherein the production process module is used for monitoring product quality information in the production process in real time, dynamically adjusting production process parameters according to the product quality information, and acquiring product quality measurement data in the production process in real time, so as to generate a product quality risk assessment report according to the product quality measurement data, identify key information in the product quality risk assessment report, upload the key information to the block chain link storage and quality intelligent decision monitoring module, acquire the product quality measurement data of the data acquisition and analysis module, generate a product production risk report according to production control standard parameters and the product quality measurement data, and prevent potential risks of product quality in the product process in advance.
Drawings
Fig. 1 is a schematic terminal structure diagram of a hardware operating environment according to an embodiment of the present invention;
fig. 2 is a flowchart illustrating a block chain-based quality control method according to a first embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The invention provides a quality control system based on a block chain, which comprises:
the production process module is used for monitoring product quality information in the production process in real time and dynamically adjusting production process parameters according to the product quality information, and particularly, the production process module is also used for preliminarily setting the production process parameters according to the raw material quality information acquired by the raw material management module, monitoring the product quality information in the production process in real time in the production process, and dynamically adjusting the production process parameters according to the product quality information.
And the data acquisition and analysis module is used for acquiring product quality measurement data in the production process in real time, generating a product quality risk assessment report according to the product quality measurement data, identifying key information in the product quality risk assessment report, and uploading the key information to the block chain for uplink storage.
And the quality intelligent decision monitoring module is used for acquiring the product quality measurement data of the data acquisition and analysis module, generating a product production risk report according to the production control standard parameters and the product quality measurement data, and specifically, sending the product production risk report to the production process module so that the production process module can prevent the product process with risks in the production process according to the product production risk report.
Further, the quality control system based on the block chain provided by the invention further comprises:
the raw material management module is used for acquiring raw material quality information corresponding to a preset product of the client and uploading the raw material quality information corresponding to the preset product of the client to the block chain uplink for storage so as to send the raw material quality information corresponding to the preset product of the client to the client through the block chain.
The warehouse storage module is used for receiving raw materials of the supply end, performing spot check on the raw materials of the supply end according to production standard parameters, receiving and warehousing the raw materials passing the spot check, generating corresponding receiving information, uploading the receiving information to the block chain uplink storage, sending the receiving information to the client through the block chain, further, automatically returning the raw materials failing the spot check, generating corresponding returning information, uploading the returning information to the block chain uplink storage, and sending the receiving information to the supply end through the block chain.
The quality control system based on the block chain further comprises a quality tracing function module for establishing the tracing chain based on the block chain so as to trace the product through the tracing chain, and an inquiry module for performing forward tracing and reverse tracing on the product through the quality tracing function module so as to obtain the raw material quality information, the product quality information, the data circulation information and/or the product shipment information of the product.
The quality control system based on the block chain further comprises a delivery module and an after-sales module, wherein the delivery module is used for uploading product list information and packing information of delivered products to the block chain for storage, sharing the information to customers based on the block chain, and the after-sales module is used for registering information of maintained products and uploading the information to the block chain.
The invention provides a quality control system based on a block chain, which comprises a production process module, a data acquisition and analysis module and a quality control module, wherein the production process module is used for monitoring product quality information in the production process in real time and dynamically adjusting production process parameters according to the product quality information, the data acquisition and analysis module is used for acquiring product quality measurement data in the production process in real time, generating a product quality risk assessment report according to the product quality measurement data, identifying key information in the product quality risk assessment report, uploading the key information to the block chain uplink storage and quality intelligent decision monitoring module, acquiring the product quality measurement data of the data acquisition and analysis module, generating a product production risk report according to production control standard parameters and the product quality measurement data, and preventing potential risks of product quality in the product process in advance, and further based on other modules, can go back forward and reverse retrospection after the anomaly appears, and the quality data sharing, the authenticity of data is guaranteed.
As shown in fig. 1, fig. 1 is a schematic terminal structure diagram of a hardware operating environment according to an embodiment of the present invention.
As shown in fig. 1, the terminal may include: a processor 1001, such as a CPU, a network interface 1004, a user interface 1003, a memory 1005, a communication bus 1002. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). The memory 1005 may be a high-speed RAM memory or a non-volatile memory (e.g., a magnetic disk memory). The memory 1005 may alternatively be a storage device separate from the processor 1001.
Optionally, the terminal may further include a camera, a Radio Frequency (RF) circuit, a sensor, an audio circuit, a WiFi module, and the like. Such as light sensors, motion sensors, and other sensors. Specifically, the light sensor may include an ambient light sensor that may adjust the brightness of the display screen according to the brightness of ambient light, and a proximity sensor that may turn off the display screen and/or the backlight when the mobile terminal is moved to the ear. As one of the motion sensors, the gravity acceleration sensor can detect the magnitude of acceleration in each direction (generally, three axes), detect the magnitude and direction of gravity when the mobile terminal is stationary, and can be used for applications (such as horizontal and vertical screen switching, related games, magnetometer attitude calibration), vibration recognition related functions (such as pedometer and tapping) and the like for recognizing the attitude of the mobile terminal; of course, the mobile terminal may also be configured with other sensors such as a gyroscope, a barometer, a hygrometer, a thermometer, and an infrared sensor, which are not described herein again.
Those skilled in the art will appreciate that the terminal structure shown in fig. 1 is not intended to be limiting and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
As shown in fig. 1, a memory 1005, which is a kind of computer storage medium, may include therein an operating system, a network communication module, a user interface module, and a blockchain-based quality management program.
In the terminal shown in fig. 1, the network interface 1004 is mainly used for connecting to a backend server and performing data communication with the backend server; the user interface 1003 is mainly used for connecting a client (user side) and performing data communication with the client; and the processor 1001 may be used to invoke a blockchain based quality management program stored in the memory 1005.
In this embodiment, the quality control apparatus based on a block chain includes: a memory 1005, a processor 1001, and a blockchain based quality control program stored on the memory 1005 and executable on the processor 1001, wherein the processor 1001 calls the blockchain based quality control program stored in the memory 1005 and performs the following operations:
receiving raw material quality information of a supply end, uploading the raw material quality information to a block chain and storing the raw material quality information in a chain mode, and sending the raw material quality information to a client through the block chain;
the method comprises the steps of acquiring product quality information of raw materials in a production process in real time, uploading the product quality information to a block chain for chain storage, and sending the product quality information to a client through the block chain;
and acquiring shipment information of the product, and uploading the shipment information to a block chain for chain storage.
Further, the processor 1001 may call the blockchain-based quality control program stored in the memory 1005, and also perform the following operations:
acquiring the circulation data of a product, uploading the circulation data to a block chain for uplink storage, and sending the circulation data to a client through the block chain;
and generating an individual bar code corresponding to the product, and tracing the product through the individual bar code and the circulation data.
Further, the processor 1001 may call the blockchain-based quality control program stored in the memory 1005, and also perform the following operations:
associating the individual bar code with the circulation data;
acquiring circulation data of the product based on the individual bar code of the product;
and analyzing the risk points of the circulation data.
The present invention further provides a quality control method based on the block chain, and referring to fig. 2, fig. 2 is a schematic flow chart of a first embodiment of the quality control method based on the block chain according to the present invention.
Step S10, receiving raw material quality information of a supply end, and uploading the raw material quality information to a block chain for uplink storage, so as to send the raw material quality information to a client through the block chain;
in an embodiment of the present invention, the present invention relates to a quality control platform based on a block chain, and in particular, a raw material management module is disposed on the quality control platform, the raw material management module is connected between supply terminals through a data interface, and the raw material management module and/or the supply terminals are connected to the block chain.
Step S20, acquiring product quality information of raw materials in the production process in real time, uploading the product quality information to a block chain for chain storage, and sending the product quality information to a client through the block chain;
in the step, a production process module is arranged on a quality control platform, specifically, after raw material quality information of a supply end is received, raw materials are subjected to sampling inspection to receive qualified raw materials and put in storage, products are produced based on the production process module, specifically, product quality information of the raw materials in the production process is obtained in real time and is uploaded to a block chain to be stored, so that the product quality information is sent to a client through the block chain, further, a data acquisition and analysis module is arranged on the quality control platform, specifically, product quality measurement data in the production process is obtained in real time, a product quality risk assessment report is generated according to the product quality measurement data, key information in the product quality risk assessment report is identified and is uploaded to the block chain to be stored through the key information, and a quality intelligent decision monitoring module is arranged on the quality control platform, the system comprises a data acquisition and analysis module, a production process module and a production process module, wherein the data acquisition and analysis module is used for acquiring product quality measurement data of the data acquisition and analysis module, generating a product production risk report according to production management and control standard parameters and the product quality measurement data, and specifically sending the product production risk report to the production process module so that the production process module can prevent a product process with risk in the production process according to the product production risk report.
And step S30, acquiring shipment information of the product, and uploading the shipment information to a block chain for chain storage.
In the step, after the production of the product is finished, the product is put in storage, the batch information of the product, the pallet and the box number information corresponding to the product are recorded, the risk of the product is automatically identified, the abnormal-free product is shipped, specifically, a shipment order number of the shipped product is generated, the shipment information of the product is obtained, and the shipment information is uploaded to a block chain for chain loading and storage.
Further, step S30 is followed by the step of,
step S40, acquiring the circulation data of the product, uploading the circulation data to a block chain for chain storage, and sending the circulation data to a client through the block chain;
and step S50, generating an individual bar code corresponding to the product, and tracing the product through the individual bar code and the circulation data.
In the step, the circulation data of the product is obtained and uploaded to the block chain for chain link storage, the circulation data is sent to the client through the block chain, an individual bar code corresponding to the product is generated, and the product is traced through the individual bar code and the circulation data.
Specifically, step S50 includes the steps of,
step S51, associating the individual bar code with the circulation data;
step S52, acquiring the circulation data of the product based on the individual bar code of the product;
and step S53, performing risk point analysis on the circulation data.
In the step, specifically, the individual bar codes are associated with the circulation data, if the product is abnormal, the circulation data of the product are acquired based on the individual bar codes of the product, specifically, the process conditions of the product at each station of the product process are traced back based on the individual bar codes, risk point analysis is carried out on the circulation data, and further, the integrated data automatically integrates and analyzes the abnormal reason of the product by leading in quality incoming material standard, process standard and delivery standard, automatically locks the risk of the product, positions the abnormal bin, reminds the warehouse to replace the delivery pallet and prepares materials in advance.
The quality control method based on the block chain receives raw material quality information of a supply end, uploads the raw material quality information to the block chain uplink for storage, sends the raw material quality information to a client through the block chain, then obtains product quality information of raw materials in a production process in real time, uploads the product quality information to the block chain uplink for storage, sends the product quality information to the client through the block chain, finally obtains shipment information of products, and uploads the shipment information to the block chain uplink for storage, so that real-time monitoring of the whole quality process and tracing of problem data are realized, sharing of product quality data is realized, and reliability of the quality data is enhanced.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) as described above and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. A quality control system based on a block chain is characterized in that the quality control system based on the block chain comprises:
the production process module is used for monitoring the product quality information in the production process in real time and dynamically adjusting the production process parameters according to the product quality information;
the data acquisition and analysis module is used for acquiring product quality measurement data in the production process in real time, generating a product quality risk assessment report according to the product quality measurement data, identifying key information in the product quality risk assessment report, and uploading the key information to the block chain for uplink storage;
and the quality intelligent decision monitoring module is used for acquiring the product quality measurement data of the data acquisition and analysis module so as to generate a product production risk report according to the production control standard parameters and the product quality measurement data.
2. The system according to claim 1, wherein the manufacturing process module is further configured to perform a sampling inspection on products during the manufacturing process, generate a detection result, and upload the detection result to the blockchain uplink for storage.
3. The blockchain based quality management system according to claim 1, wherein the blockchain based quality management system further includes:
the raw material management module is used for acquiring raw material quality information corresponding to a preset product of the client, uploading the raw material quality information corresponding to the preset product of the client to the block chain for chain storage, and sending the raw material quality information corresponding to the preset product of the client to the client through the block chain;
and the warehouse storage module is used for receiving the raw materials of the supply end, performing sampling inspection on the raw materials of the supply end according to the production standard parameters, receiving and warehousing the raw materials passing the sampling inspection, generating corresponding receiving information, uploading the receiving information to the block chain for chain storage, and sending the receiving information to the client through the block chain.
4. The system according to claim 3, wherein the material management module is further configured to obtain data flow information of a material, and upload the data flow information to a blockchain storage uplink.
5. The blockchain-based quality control system according to claim 3, wherein the warehouse storage module is further configured to automatically return the raw materials that do not pass the spot inspection, generate corresponding return information, and upload the return information to a blockchain uplink storage, so as to send the receiving information to the supply terminal through the blockchain.
6. The blockchain based quality management system according to claim 1, wherein the blockchain based quality management system further includes:
the quality tracing function module is used for establishing a tracing chain based on a block chain so as to trace the product through the tracing chain;
and the query module is used for carrying out forward tracing and reverse tracing on the product through the quality tracing function module so as to obtain the raw material quality information, the product quality information, the data circulation information and/or the product shipment information of the product.
7. A quality control method based on a block chain is applied to a quality control system based on the block chain, and comprises the following steps:
receiving raw material quality information of a supply end, uploading the raw material quality information to a block chain and storing the raw material quality information in a chain mode, and sending the raw material quality information to a client through the block chain;
the method comprises the steps of acquiring product quality information of raw materials in a production process in real time, uploading the product quality information to a block chain for chain storage, and sending the product quality information to a client through the block chain;
and acquiring shipment information of the product, and uploading the shipment information to a block chain for chain storage.
8. The method as claimed in claim 7, wherein the step of obtaining shipment information of the product and uploading the shipment information to the chain for chain storage further comprises:
acquiring the circulation data of a product, uploading the circulation data to a block chain for uplink storage, and sending the circulation data to a client through the block chain;
and generating an individual bar code corresponding to the product, and tracing the product through the individual bar code and the circulation data.
9. The block chain-based quality control method according to claim 8, wherein the step of tracing the product through the individual barcode and the circulation data includes:
associating the individual bar code with the circulation data;
acquiring circulation data of the product based on the individual bar code of the product;
and analyzing the risk points of the circulation data.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium has stored thereon a blockchain-based quality management program, which when executed by a processor implements the steps of the blockchain-based quality management method according to any one of claims 7 to 9.
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