WO2021197349A1 - 基于区块链的品质智能监控系统、方法及可读存储介质 - Google Patents
基于区块链的品质智能监控系统、方法及可读存储介质 Download PDFInfo
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 66
- 238000000034 method Methods 0.000 title claims abstract description 64
- 238000004519 manufacturing process Methods 0.000 claims abstract description 228
- 230000008569 process Effects 0.000 claims abstract description 39
- 238000003908 quality control method Methods 0.000 claims description 70
- 238000004891 communication Methods 0.000 description 4
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06395—Quality analysis or management
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/04—Manufacturing
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- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Definitions
- This application relates to the field of production processes, and in particular to the invention of a blockchain-based quality intelligent monitoring system, method, and readable storage medium.
- Blockchain has decentralization, openness, autonomy, anonymity, information cannot be tampered with, etc. Based on these characteristics, the application of blockchain technology to the intelligent monitoring of product quality in the manufacturing industry can greatly improve the reliability and security of data And can realize the rapid integration of data.
- the quality monitoring and analysis of products in the production process can only be done by collecting data samples of key station test items and performing trend analysis on the data.
- This method only monitors the data of products that have been produced, and cannot be effectively evaded or advanced in time. Foresee the quality problems that may occur in the product during the production process, and only solve the problem when the problem occurs, and the quality problem investigation mainly relies on human off-line decision-making, which affects the product qualification rate and production efficiency.
- the main purpose of this application is to provide a blockchain-based quality intelligent monitoring system, method, and readable storage medium, aiming to solve the technical problems of unreliable data in the product manufacturing process and unpredictable quality problems.
- this application provides a blockchain-based quality intelligent monitoring system
- the blockchain-based quality intelligent monitoring system includes:
- Decision management module used to simulate the production process of products based on the production process model, and predict the production process solutions of inferior products in the production process
- the process monitoring module is used to obtain product quality information during the production process, and integrate and analyze the quality information to generate product quality reports, and upload the product quality reports to the blockchain, so that the client can obtain real-time product information Production status, and when inferior products are detected, adjust the current production process plan based on the predicted production process solution of the inferior product;
- the data modeling module is used to obtain the production process data and quality control standards of the products stored in the blockchain to establish a production process model based on the production process data and quality control data for the decision management module to simulate the product based on the production process model Production process.
- the decision management module is also used to predict the production process data of the products in the production process, and predict the quality information of the inferior products based on the quality control standards, and predict the production process based on the quality information of the inferior products Production process solutions for low-quality products, and send the production process solutions to the process monitoring module, so that when the process monitoring module detects inferior products, it can adjust the current production process plan in time.
- the process monitoring module is also used to record the production process data of the product in real time, and upload the production process data to the blockchain, so that the client can obtain the production status of the product in real time.
- the process monitoring module is also used to obtain product quality information according to the production process data and quality control standards of the product, to adjust the quality control standards based on the product quality information, and to control the adjusted quality
- the standards are uploaded to the blockchain for the blockchain to update the quality control standards.
- the blockchain-based quality intelligent monitoring system further includes:
- the quality report module is used to determine the problem node in the production process according to the production process data and quality control standards of the product, and generate the quality information of the product, and upload the quality information of the product to the blockchain for storage.
- this application also provides a blockchain-based quality intelligent monitoring method, which includes the following steps:
- the product quality information adjust the quality control standards, and upload the adjusted quality control standards to the blockchain for the blockchain to update the quality control standards.
- the production process of the product is simulated based on the production process model, and the production process solution of the inferior product during the production process is predicted, so that when the inferior quality is detected, the current production process solution is adjusted based on the inferior product Production process plan.
- the problem node in the production process is determined, and the quality information of the product is generated.
- the production process data and quality control standards of the products stored in the blockchain are acquired to establish a production process model based on the production process data and quality control data.
- the present application also provides a readable storage medium, the readable storage medium stores a blockchain-based quality intelligent monitoring program, and the blockchain-based quality intelligent monitoring program is processed When the device is executed, the steps of any one of the above-mentioned blockchain-based quality intelligent monitoring methods are realized.
- the blockchain-based quality intelligent monitoring system proposed in this application includes a decision management module, which is used to simulate the production process of products based on the production process model, and predict the production process solutions of inferior products in the production process, and the process monitoring module, Used to obtain product quality information in the production process, and integrate and analyze the quality information to generate product quality reports, and upload the product quality reports to the blockchain, so that the client can obtain the production status of the product in real time, And when inferior products are detected, the current production process plan is adjusted based on the production process solutions of the predicted inferior products, and the data modeling module is used to obtain the production process data and quality control standards of the products stored in the blockchain to follow
- the production process data and quality control data establish a production process model for the decision-making management module to simulate the production process of the product based on the production process model.
- the information based on the blockchain cannot be tampered with, so as to realize the transparency of the control process and the entire quality process in the product process Intelligent monitoring and sharing, and through the decision management module to predict the production process solutions of inferior products in the production process, realize the automatic adjustment of the process and the technical effect of timely handling of quality problems, and improve the user experience.
- FIG. 1 is a schematic diagram of a terminal structure of a hardware operating environment involved in a solution of an embodiment of the present application
- Fig. 2 is a schematic flowchart of a first embodiment of a method for intelligent quality monitoring based on blockchain in this application.
- the intelligent quality monitoring system based on blockchain includes:
- the decision management module is used to simulate the production process of the product based on the production process model and predict the production process solution of the inferior product during the production process, so that the process monitoring module can adjust the production process plan in time when the inferior quality is detected. It is understandable In order to improve the emergency response efficiency when inferior products appear in the production process, based on the historical production process data, the historical production process data can be input into the production process model to simulate the production process of the product to predict the quality information of the product , And generate corresponding production process solutions when the quality information of inferior products appears, such as adjusting production process control standards and predicting problem links;
- the decision management module is also used to predict the production process data of the products in the production process, and based on the quality control standards, predict the quality information of the inferior products, so that the decision management module can predict the production process of the inferior products in the production process.
- Solution in which, understandably, when simulating the production process of a product based on the production process model, it can also be input to the production process model according to the product's raw material information and product control standards to simulate the production process of the product and output Forecast production process data and predict the quality information of inferior products based on quality control standards.
- the process monitoring module is used to obtain product quality information during the production process, and integrate and analyze the quality information to generate product quality reports, and upload the product quality reports to the blockchain, so that the client can obtain real-time product information Production status, specifically, during the production process, the production process data of each link is uploaded to the blockchain for storage, so that the process monitoring module can obtain the quality information of the product during the production process, and when inferior products are detected , Adjust the current production process plan based on the predicted production process solution of inferior products;
- process monitoring module is also used to record the production process data of the product in real time, and upload the production process data to the blockchain, so that the client can obtain the production status of the product in real time.
- process monitoring module is also used to obtain product quality information based on the production process data and quality control standards of the product, adjust the quality control standards based on the product quality information, and upload the adjusted quality control standards to the block Chain for the blockchain to update quality control standards.
- the data modeling module is used to obtain the production process data and quality control standards of the products stored in the blockchain to establish a production process model based on the production process data and quality control data for the decision management module to simulate the product based on the production process model Production process.
- the blockchain-based quality intelligent monitoring system proposed in this application also includes:
- the quality report module is used to determine the problem node in the production process according to the production process data and quality control standards of the product, and generate the quality information of the product, and upload the quality information of the product to the blockchain for storage.
- the blockchain-based quality intelligent monitoring system and decision management module proposed in this application are used to simulate the production process of products based on the production process model and predict the production process solutions of inferior products during the production process for the process monitoring module When inferior quality is detected, the production process plan is adjusted in time.
- the process monitoring module is used to obtain the quality information of the product during the production process, and integrate and analyze the quality information to generate a product quality report, and upload the product quality report to Block chain, for the client to obtain the production status of the product in real time
- the data modeling module used to obtain the production process data and quality control standards of the product stored in the block chain, to establish production based on the production process data and quality control data Process model for the decision-making management module to simulate the production process of the product based on the production process model.
- the information based on the block chain cannot be tampered with, so as to realize the transparency of the control process during the production process and the sharing of intelligent monitoring of the entire quality process, and through decision-making management
- the module predicts the production process solution of inferior products in the production process, realizes the automatic adjustment of the process and the technical effect of timely handling of quality problems, and improves the user experience.
- FIG. 1 is a schematic diagram of a terminal structure of a hardware operating environment involved in a solution of an embodiment of the present application.
- the terminal may include: a processor 1001, such as a CPU, a network interface 1004, a user interface 1003, a memory 1005, and a communication bus 1002.
- the communication bus 1002 is used to implement connection and communication between these components.
- the user interface 1003 may include a display screen (Display) and an input unit such as a keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface and a wireless interface.
- the network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a WI-FI interface).
- the memory 1005 may be a high-speed RAM memory, or a stable memory (non-volatile memory), such as a magnetic disk memory.
- the memory 1005 may also be a storage device independent of the aforementioned processor 1001.
- the terminal may also include a camera, RF (Radio Frequency (radio frequency) circuits, sensors, audio circuits, WiFi modules, etc.
- sensors such as light sensors, motion sensors and other sensors.
- the light sensor may include an ambient light sensor and a proximity sensor.
- the ambient light sensor can adjust the brightness of the display screen according to the brightness of the ambient light
- the proximity sensor can turn off the display screen and/or when the mobile terminal is moved to the ear.
- Backlight As a kind of motion sensor, the gravity acceleration sensor can detect the magnitude of acceleration in various directions (usually three axes). It can detect the magnitude and direction of gravity when it is stationary.
- the mobile terminal can also be equipped with other sensors such as gyroscope, barometer, hygrometer, thermometer, infrared sensor, etc. No longer.
- terminal structure shown in FIG. 1 does not constitute a limitation on the terminal, and may include more or less components than shown in the figure, or combine some components, or arrange different components.
- the memory 1005 which is a readable storage medium, may include an operating system, a network communication module, a user interface module, and a quality intelligent monitoring program based on the blockchain.
- the network interface 1004 is mainly used to connect to the back-end server and communicate with the back-end server; the user interface 1003 is mainly used to connect to the client (user side) and communicate with the client; and the processor 1001 can be used to call a blockchain-based quality intelligent monitoring program stored in the memory 1005.
- the blockchain-based quality intelligent monitoring device includes: a memory 1005, a processor 1001, and a blockchain-based quality intelligent monitoring device that is stored in the memory 1005 and can run on the processor 1001 A program, where the processor 1001 calls the blockchain-based quality intelligent monitoring program stored in the memory 1005, and performs the following operations:
- the product quality information adjust the quality control standards, and upload the adjusted quality control standards to the blockchain for the blockchain to update the quality control standards.
- the processor 1001 may call a blockchain-based quality intelligent monitoring program stored in the memory 1005, and also perform the following operations:
- the processor 1001 may call a blockchain-based quality intelligent monitoring program stored in the memory 1005, and also perform the following operations:
- the problem nodes in the production process are determined, and the quality information of the product is generated.
- the processor 1001 may call a blockchain-based quality intelligent monitoring program stored in the memory 1005, and also perform the following operations:
- This application also provides a blockchain-based quality intelligent monitoring method.
- FIG. 2 is a schematic flowchart of the first embodiment of the blockchain-based quality intelligent monitoring method of this application.
- Step S10 recording the production process data of the product in real time, and uploading the production process data to the blockchain, so that the client can obtain the production status of the product in real time;
- this application relates to a blockchain-based quality intelligent monitoring platform.
- a process monitoring module is provided on the blockchain-based quality intelligent monitoring platform, and the process monitoring module passes between clients
- the data interface is connected, and the process monitoring module and/or client establishes a connection with the blockchain.
- the production process data of the product is recorded in real time based on the process monitoring module, and the production process data is uploaded to the blockchain for the client Obtain the production status of the product in real time.
- step S10 it also includes:
- Step S101 simulate the production process of the product based on the production process model, and predict the production process solution of the inferior product during the production process, so that when inferior quality is detected, the current production process plan is adjusted based on the production process solution of the inferior product .
- the blockchain-based quality intelligent monitoring platform involved in this application is provided with a decision management module for predicting the production process data of the product in the production process, and predicting the quality information of inferior products based on quality control standards.
- a decision management module for predicting the production process data of the product in the production process, and predicting the quality information of inferior products based on quality control standards.
- it is understandable When simulating the production process of a product based on the production process model, it can be input to the production process model according to the product’s raw material information and product control standards to simulate the production process of the product, and output predicted production process data based on Quality control standards, predict the quality information of inferior products, and generate corresponding production process solutions when there is The product's production process solution adjusts the current production process plan.
- the historical production process data can be input into the production process model to simulate the production process of the product to predict the quality of the product Information, and when the quality information of inferior products appears, the corresponding production process solutions are generated, such as adjusting the production process control standards and predicting problem links.
- step S101 it also includes:
- Step S102 Obtain the production process data and quality control standards of the products stored in the blockchain to establish a production process model based on the production process data and quality control data.
- the production process data and quality control standards of the product stored in the blockchain can be used as training data to train a model to obtain the production process model.
- Step S20 generating product quality information according to the production process data and quality control standards of the product, and uploading the product quality information to the blockchain, so that the client can obtain the quality status of the product in real time;
- the process monitoring module set up on the blockchain-based quality intelligent monitoring platform is also used to generate product quality information based on the production process data and quality control standards of the product, and upload the product quality information to the blockchain , So that the client can obtain the quality status of the product in real time.
- step S20 includes:
- Step S201 Determine the problem node in the production process according to the production process data and quality control standards of the product, and generate quality information of the product.
- each node corresponds to a type of initial product.
- the corresponding initial product at each node has an appearance and Performance standards (that is, quality control standards), each time the first product is obtained, the first product is sampled. For example, if there are currently 10,000 pieces, the previous products will be randomly sampled according to the standard of 10%, and based on appearance and performance. Standards (ie quality control standards), detect the pass rate of the 10% initial product, and generate product quality information based on the pass rate. For example, if the pass rate is 98%, the batch of products is judged to be of high quality , If it is less than 80%, the batch of products is judged to be of low quality.
- Step S30 Adjust the quality control standard according to the quality information of the product, and upload the adjusted quality control standard to the blockchain for the blockchain to update the quality control standard.
- the subsequent processing and production will be stopped immediately, and the previous sub-nodes
- the quality control standards are adjusted, that is, the equipment parameters of the production process are adjusted, and then the adjusted quality control standards are uploaded to the blockchain for the blockchain to update the quality control standards.
- the blockchain-based quality intelligent monitoring method proposed in this application records the production process data of the product in real time, and uploads the production process data to the blockchain, so that the client can obtain the production status of the product in real time, according to the production process data of the product And quality control standards, generate product quality information, and upload the product quality information to the blockchain, so that the client can obtain the quality status of the product in real time, adjust the quality control standard according to the product quality information, and update the adjusted
- the quality control standards are uploaded to the blockchain for the blockchain to update the quality control standards, realize the transparency of the control process in the product manufacturing process, the automatic adjustment of the manufacturing process, and the technical effects of timely handling of quality problems, and realize the intelligent monitoring of the entire quality process Sharing to improve user experience.
- the technical solution of this application essentially or the part that contributes to the existing technology can be embodied in the form of a software product, and the computer software product is stored in a storage medium (such as ROM/RAM) as described above. , Magnetic disks, optical disks), including several instructions to make a terminal device (which can be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) execute the method described in each embodiment of the present application.
- a terminal device which can be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.
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Abstract
一种基于区块链的品质智能监控系统、方法及可读存储介质，所述系统包括：决策管理模块，用于预测生产制程过程中劣质产品的生产制程解决方案；制程监控模块，用于整合分析品质信息，并将产品的品质报表上传至区块链，以供客户端实时获取产品的生产状况，且检测到劣质产品时，基于决策管理模块预测的劣质产品的生产制程解决方案调整当前的生产制程方案；数据建模模块，用于建立生产制程模型。
Description
本申请要求于2020年3月31日申请的、申请号为202010248238.1的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
本申请涉及生产制程领域，尤其涉及发明一种基于区块链的品质智能监控系统、方法及可读存储介质。
区块链具有去中心化、开放性、自治性、匿名性、信息不可篡改等，基于这些特性将区块链技术运用到制造业的产品品质智能监控中，可以大大提高数据的可靠性和安全性并且能够实现数据的快速整合。
目前，生产过程中对产品的质量监控分析，只能是通过采集关键工位测试项的数据样本，对数据进行趋势分析，该方式只是对已经生产的产品数据进行监控，不能及时有效规避或者提前预知生产制程中产品可能会出现的品质问题，只能出现问题时解决问题，并且质量问题排查还主要依赖人为线外决策，影响产品合格率以及生产效率。
本申请的主要目的在于提供一种基于区块链的品质智能监控系统、方法及可读存储介质，旨在解决产品制程过程中数据不可靠，且对品质问题无法预估的技术问题。
为实现上述目的，本申请提供一种基于区块链的品质智能监控系统，所述基于区块链的品质智能监控系统包括：
决策管理模块，用于基于生产制程模型模拟产品的生产制程过程，并预测生产制程过程中劣质产品的生产制程解决方案；
制程监控模块，用于获取产品在生产制程过程中的品质信息，并整合分析品质信息，以生成产品的品质报表，并将产品的品质报表上传至区块链，以供客户端实时获取产品的生产状况，且检测到劣质产品时，基于预测的劣质产品的生产制程解决方案调整当前的生产制程方案；
数据建模模块，用于获取区块链中存储的产品的生产制程数据及品质管控标准，以根据生产制程数据及品质管控数据建立生产制程模型，以供决策管理模块基于生产制程模型模拟产品的生产制程过程。
在一实施例中，所述决策管理模块，还用于预测生产制程过程中产品的生产制程数据，并基于品质管控标准，预测劣质产品的品质信息，基于劣质产品的品质信息，预测生产制程过程中劣质产品的生产制程解决方案，并将生产制程解决方案发送至制程监控模块，以供制程监控模块检测到劣质产品时，及时调整当前的生产制程方案。
在一实施例中，所述制程监控模块，还用于实时记录产品的生产制程数据，并将生产制程数据上传至区块链，以供客户端实时获取产品的生产状况。
在一实施例中，所述制程监控模块，还用于根据产品的生产制程数据及品质管控标准，获取产品的品质信息，以基于产品的品质信息调整品质管控标准，并将调整后的品质管控标准上传至区块链，以供区块链更新品质管控标准。
在一实施例中，所述基于区块链的品质智能监控系统还包括：
品质报告模块，用于根据产品的生产制程数据及品质管控标准，确定生产制程中的问题节点，并生成产品的品质信息，且将产品的品质信息上传至区块链存储。
此外，为实现上述目的，本申请还提供一种基于区块链的品质智能监控方法，所述基于区块链的品质智能监控方法包括以下步骤：
实时记录产品的生产制程数据，并将生产制程数据上传至区块链，以供客户端实时获取产品的生产状况；
根据产品的生产制程数据及品质管控标准，生成产品的品质信息，并将产品的品质信息上传至区块链，以供客户端实时获取产品的品质状况；
根据产品的品质信息，调整品质管控标准，并将调整后的品质管控标准上传至区块链，以供区块链更新品质管控标准。
在一实施例中，基于生产制程模型模拟产品的生产制程过程，并预测生产制程过程中劣质产品的生产制程解决方案，以在检测到劣质品质时，基于劣质产品的生产制程解决方案调整当前的生产制程方案。
在一实施例中，根据产品的生产制程数据及品质管控标准，确定生产制程中的问题节点，并生成产品的品质信息。
在一实施例中，获取区块链中存储的产品的生产制程数据及品质管控标准，以根据生产制程数据及品质管控数据建立生产制程模型。
此外，为实现上述目的，本申请还提供一种可读存储介质，所述可读存储介质上存储有基于区块链的品质智能监控程序，所述基于区块链的品质智能监控程序被处理器执行时实现以上任一项所述的基于区块链的品质智能监控方法的步骤。
本申请提出的基于区块链的品质智能监控系统，包括决策管理模块，用于基于生产制程模型模拟产品的生产制程过程，并预测生产制程过程中劣质产品的生产制程解决方案，制程监控模块，用于获取产品在生产制程过程中的品质信息，并整合分析品质信息，以生成产品的品质报表，并将产品的品质报表上传至区块链，以供客户端实时获取产品的生产状况，，且检测到劣质产品时，基于预测的劣质产品的生产制程解决方案调整当前的生产制程方案，数据建模模块，用于获取区块链中存储的产品的生产制程数据及品质管控标准，以根据生产制程数据及品质管控数据建立生产制程模型，以供决策管理模块基于生产制程模型模拟产品的生产制程过程，基于区块链的信息不可篡改，实现产品制程过程中管控过程透明化及品质全过程智能监控的共享，且通过决策管理模块预测生产制程过程中劣质产品的生产制程解决方案，实现制程的自动调整及及时处理品质问题的技术效果，提高用户体验。
图1是本申请实施例方案涉及的硬件运行环境的终端结构示意图；
图2为本申请基于区块链的品质智能监控方法第一实施例的流程示意图。
本申请目的的实现、功能特点及优点将结合实施例，参照附图做进一步说明。
应当理解，此处所描述的具体实施例仅仅用以解释本申请，并不用于限定本申请。
本申请提供一种基于区块链的品质智能监控系统，所述基于区块链的品质智能监控系统包括：
决策管理模块，用于基于生产制程模型模拟产品的生产制程过程，并预测生产制程过程中劣质产品的生产制程解决方案，以供制程监控模块在检测到劣质品质时及时调整生产制程方案，可以理解地，为了提高生产制程中在出现劣质产品时的应急效率，可基于历史的生产制程数据，将历史的生产制程数据输入至生产制程模型中，模拟产品的生产制程过程，以预测产品的品质信息，并在出现劣质产品的品质信息时，生成相应的生产制程解决方案，比如调整生产制程管控标准及预测问题环节；
进一步地，决策管理模块，还用于预测生产制程过程中产品的生产制程数据，并基于品质管控标准，预测劣质产品的品质信息，以供决策管理模块预测生产制程过程中劣质产品的生产制程解决方案，其中，可以理解地，在基于生产制程模型模拟产品的生产制程过程时，还可根据产品的原料信息及产品的管控标准，输入至生产制程模型，以模拟产品的生产制程过程，并输出预测生产制程数据，并基于品质管控标准，预测劣质产品的品质信息。
制程监控模块，用于获取产品在生产制程过程中的品质信息，并整合分析品质信息，以生成产品的品质报表，并将产品的品质报表上传至区块链，以供客户端实时获取产品的生产状况，具体地，在生产制程过程中，每一环节的生产制程数据都上传至区块链进行存储，以供制程监控模块获取产品在生产制程过程中的品质信息，且检测到劣质产品时，基于预测的劣质产品的生产制程解决方案调整当前的生产制程方案；
进一步地，制程监控模块，还用于实时记录产品的生产制程数据，并将生产制程数据上传至区块链，以供客户端实时获取产品的生产状况。
进一步地，制程监控模块，还用于根据产品的生产制程数据及品质管控标准，获取产品的品质信息，以基于产品的品质信息调整品质管控标准，并将调整后的品质管控标准上传至区块链，以供区块链更新品质管控标准。
数据建模模块，用于获取区块链中存储的产品的生产制程数据及品质管控标准，以根据生产制程数据及品质管控数据建立生产制程模型，以供决策管理模块基于生产制程模型模拟产品的生产制程过程。
进一步地，本申请提出的基于区块链的品质智能监控系统还包括：
品质报告模块，用于根据产品的生产制程数据及品质管控标准，确定生产制程中的问题节点，并生成产品的品质信息，且将产品的品质信息上传至区块链存储。
本申请提出的基于区块链的品质智能监控系统，决策管理模块，用于基于生产制程模型模拟产品的生产制程过程，并预测生产制程过程中劣质产品的生产制程解决方案，以供制程监控模块在检测到劣质品质时及时调整生产制程方案，制程监控模块，用于获取产品在生产制程过程中的品质信息，并整合分析品质信息，以生成产品的品质报表，并将产品的品质报表上传至区块链，以供客户端实时获取产品的生产状况，数据建模模块，用于获取区块链中存储的产品的生产制程数据及品质管控标准，以根据生产制程数据及品质管控数据建立生产制程模型，以供决策管理模块基于生产制程模型模拟产品的生产制程过程，基于区块链的信息不可篡改，实现产品制程过程中管控过程透明化及品质全过程智能监控的共享，且通过决策管理模块预测生产制程过程中劣质产品的生产制程解决方案，实现制程的自动调整及及时处理品质问题的技术效果，提高用户体验。
如图1所示，图1是本申请实施例方案涉及的硬件运行环境的终端结构示意图。
如图1所示，该终端可以包括：处理器1001，例如CPU，网络接口1004，用户接口1003，存储器1005，通信总线1002。其中，通信总线1002用于实现这些组件之间的连接通信。用户接口1003可以包括显示屏（Display）、输入单元比如键盘（Keyboard），可选用户接口1003还可以包括标准的有线接口、无线接口。网络接口1004可选的可以包括标准的有线接口、无线接口（如WI-FI接口）。存储器1005可以是高速RAM存储器，也可以是稳定的存储器（non-volatile memory），例如磁盘存储器。存储器1005可选的还可以是独立于前述处理器1001的存储装置。
可选地，终端还可以包括摄像头、RF（Radio
Frequency，射频）电路，传感器、音频电路、WiFi模块等等。其中，传感器比如光传感器、运动传感器以及其他传感器。具体地，光传感器可包括环境光传感器及接近传感器，其中，环境光传感器可根据环境光线的明暗来调节显示屏的亮度，接近传感器可在移动终端移动到耳边时，关闭显示屏和/或背光。作为运动传感器的一种，重力加速度传感器可检测各个方向上（一般为三轴）加速度的大小，静止时可检测出重力的大小及方向，可用于识别移动终端姿态的应用（比如横竖屏切换、相关游戏、磁力计姿态校准）、振动识别相关功能（比如计步器、敲击）等；当然，移动终端还可配置陀螺仪、气压计、湿度计、温度计、红外线传感器等其他传感器，在此不再赘述。
本领域技术人员可以理解，图1中示出的终端结构并不构成对终端的限定，可以包括比图示更多或更少的部件，或者组合某些部件，或者不同的部件布置。
如图1所示，作为一种可读存储介质的存储器1005中可以包括操作系统、网络通信模块、用户接口模块以及基于区块链的品质智能监控程序。
在图1所示的终端中，网络接口1004主要用于连接后台服务器，与后台服务器进行数据通信；用户接口1003主要用于连接客户端（用户端），与客户端进行数据通信；而处理器1001可以用于调用存储器1005中存储的基于区块链的品质智能监控程序。
在本实施例中，基于区块链的品质智能监控装置包括：存储器1005、处理器1001及存储在所述存储器1005上并可在所述处理器1001上运行的基于区块链的品质智能监控程序，其中，处理器1001调用存储器1005中存储的基于区块链的品质智能监控程序时，并执行以下操作：
实时记录产品的生产制程数据，并将生产制程数据上传至区块链，以供客户端实时获取产品的生产状况；
根据产品的生产制程数据及品质管控标准，生成产品的品质信息，并将产品的品质信息上传至区块链，以供客户端实时获取产品的品质状况；
根据产品的品质信息，调整品质管控标准，并将调整后的品质管控标准上传至区块链，以供区块链更新品质管控标准。
进一步地，处理器1001可以调用存储器1005中存储的基于区块链的品质智能监控程序，还执行以下操作：
基于生产制程模型模拟产品的生产制程过程，并预测生产制程过程中劣质产品的生产制程解决方案，以在检测到劣质品质时，基于劣质产品的生产制程解决方案调整当前的生产制程方案。
进一步地，处理器1001可以调用存储器1005中存储的基于区块链的品质智能监控程序，还执行以下操作：
根据产品的生产制程数据及品质管控标准，确定生产制程中的问题节点，并生成产品的品质信息。
进一步地，处理器1001可以调用存储器1005中存储的基于区块链的品质智能监控程序，还执行以下操作：
获取区块链中存储的产品的生产制程数据及品质管控标准，以根据生产制程数据及品质管控数据建立生产制程模型。
本申请还提供一种基于区块链的品质智能监控方法，参照图2，图2为本申请基于区块链的品质智能监控方法第一实施例的流程示意图。
步骤S10，实时记录产品的生产制程数据，并将生产制程数据上传至区块链，以供客户端实时获取产品的生产状况；
在本申请实施例中，本申请涉及一种基于区块链的品质智能监控平台，具体地，基于区块链的品质智能监控平台上设置有一制程监控模块，制程监控模块于客户端之间通过数据接口接通，制程监控模块和/或客户端与区块链建立连接，具体地，基于制程监控模块实时记录产品的生产制程数据，并将生产制程数据上传至区块链，以供客户端实时获取产品的生产状况。
进一步地，步骤S10，之前，还包括，
步骤S101，基于生产制程模型模拟产品的生产制程过程，并预测生产制程过程中劣质产品的生产制程解决方案，以在检测到劣质品质时，基于劣质产品的生产制程解决方案调整当前的生产制程方案。
本申请涉及的基于区块链的品质智能监控平台上设置有一决策管理模块，用于预测生产制程过程中产品的生产制程数据，并基于品质管控标准，预测劣质产品的品质信息，其中，可以理解地，在基于生产制程模型模拟产品的生产制程过程时，可根据产品的原料信息及产品的管控标准，输入至生产制程模型，以模拟产品的生产制程过程，并输出预测生产制程数据，并基于品质管控标准，预测劣质产品的品质信息，并在出现劣质产品的品质信息时，生成相应的生产制程解决方案，比如调整生产制程管控标准及预测问题环节，以在检测到劣质品质时，基于劣质产品的生产制程解决方案调整当前的生产制程方案。
进一步地，为了提高生产制程中在出现劣质产品时的应急效率，可基于历史的生产制程数据，将历史的生产制程数据输入至生产制程模型中，模拟产品的生产制程过程，以预测产品的品质信息，并在出现劣质产品的品质信息时，生成相应的生产制程解决方案，比如调整生产制程管控标准及预测问题环节。
进一步地，步骤S101，之前，还包括，
步骤S102，获取区块链中存储的产品的生产制程数据及品质管控标准，以根据生产制程数据及品质管控数据建立生产制程模型。
可以理解地，为了提高生产制程模型预测的准确率，本实施例中，可根据区块链中存储的产品的生产制程数据及品质管控标准作为训练数据，训练一模型，以得到生产制程模型。
步骤S20，根据产品的生产制程数据及品质管控标准，生成产品的品质信息，并将产品的品质信息上传至区块链，以供客户端实时获取产品的品质状况；
该步骤中，基于区块链的品质智能监控平台上设置的制程监控模块还用于根据产品的生产制程数据及品质管控标准，生成产品的品质信息，并将产品的品质信息上传至区块链，以供客户端实时获取产品的品质状况。
具体地，步骤S20，包括，
步骤S201，根据产品的生产制程数据及品质管控标准，确定生产制程中的问题节点，并生成产品的品质信息。
可以理解地，在原料进行加工生产成目标成品时时，每一节点均对应一种类型的初产品，其中，为了辨别每一节点产品的好坏，在每一节点对应的初产品均有一外观及性能标准(即品质管控标准)，在每得到一初产品时，对该初产品进行抽检，比如若当前有一万件，则按照百分之十的标准随机抽检以前件，并基于外观及性能标准(即品质管控标准)，检测该百分之十的初产品的合格率，根据该合格率，生成产品的品质信息，比如，若合格率为98%，则判定该批次产品为高品质、若低于80%，则判定该批次产品为低品质。
步骤S30，根据产品的品质信息，调整品质管控标准，并将调整后的品质管控标准上传至区块链，以供区块链更新品质管控标准。
该步骤中，比如，若在生产制程的一节点检测到该批次的产品为低品质时，比如抽检后产品的合格率为70%时，则立刻停止后续加工生产，并对前面子节点的品质管控标准进行调整，即调整生产制程的设备参数，接着将调整后的品质管控标准上传至区块链，以供区块链更新品质管控标准。
本申请提出的基于区块链的品质智能监控方法，实时记录产品的生产制程数据，并将生产制程数据上传至区块链，以供客户端实时获取产品的生产状况，根据产品的生产制程数据及品质管控标准，生成产品的品质信息，并将产品的品质信息上传至区块链，以供客户端实时获取产品的品质状况，根据产品的品质信息，调整品质管控标准，并将调整后的品质管控标准上传至区块链，以供区块链更新品质管控标准，实现产品制程过程中管控过程透明化、制程的自动调整和及时处理品质问题的技术效果，且实现了品质全过程智能监控的共享，提高用户体验。
需要说明的是，在本文中，术语“包括”、“包含”或者其任何其他变体意在涵盖非排他性的包含，从而使得包括一系列要素的过程、方法、物品或者系统不仅包括那些要素，而且还包括没有明确列出的其他要素，或者是还包括为这种过程、方法、物品或者系统所固有的要素。在没有更多限制的情况下，由语句“包括一个……”限定的要素，并不排除在包括该要素的过程、方法、物品或者系统中还存在另外的相同要素。
上述本申请实施例序号仅仅为了描述，不代表实施例的优劣。
通过以上的实施方式的描述，本领域的技术人员可以清楚地了解到上述实施例方法可借助软件加必需的通用硬件平台的方式来实现，当然也可以通过硬件，但很多情况下前者是更佳的实施方式。基于这样的理解，本申请的技术方案本质上或者说对现有技术做出贡献的部分可以以软件产品的形式体现出来，该计算机软件产品存储在如上所述的一个存储介质(如ROM/RAM、磁碟、光盘)中，包括若干指令用以使得一台终端设备(可以是手机，计算机，服务器，空调器，或者网络设备等)执行本申请各个实施例所述的方法。
以上仅为本申请的优选实施例，并非因此限制本申请的专利范围，凡是利用本申请说明书及附图内容所作的等效结构或等效流程变换，或直接或间接运用在其他相关的技术领域，均同理包括在本申请的专利保护范围内。
Claims (10)
- 一种基于区块链的品质智能监控系统，其中，所述基于区块链的品质智能监控系统包括：决策管理模块，用于基于生产制程模型模拟产品的生产制程过程，并预测生产制程过程中劣质产品的生产制程解决方案；制程监控模块，用于获取产品在生产制程过程中的品质信息，并整合分析品质信息，以生成产品的品质报表，并将产品的品质报表上传至区块链，以供客户端实时获取产品的生产状况，且检测到劣质产品时，基于预测的劣质产品的生产制程解决方案调整当前的生产制程方案；数据建模模块，用于获取区块链中存储的产品的生产制程数据及品质管控标准，以根据生产制程数据及品质管控数据建立生产制程模型，以供决策管理模块基于生产制程模型模拟产品的生产制程过程。
- 如权利要求1所述的基于区块链的品质智能监控系统，其中，所述决策管理模块，还用于预测生产制程过程中产品的生产制程数据，并基于品质管控标准，预测劣质产品的品质信息，基于劣质产品的品质信息，预测生产制程过程中劣质产品的生产制程解决方案，并将生产制程解决方案发送至制程监控模块，以供制程监控模块检测到劣质产品时，及时调整当前的生产制程方案。
- 如权利要求1所述的基于区块链的品质智能监控系统，其中，所述制程监控模块，还用于实时记录产品的生产制程数据，并将生产制程数据上传至区块链，以供客户端实时获取产品的生产状况。
- 如权利要求3所述的基于区块链的品质智能监控系统，其中，所述制程监控模块，还用于根据产品的生产制程数据及品质管控标准，获取产品的品质信息，以基于产品的品质信息调整品质管控标准，并将调整后的品质管控标准上传至区块链，以供区块链更新品质管控标准。
- 如权利要求1所述的基于区块链的品质智能监控系统，其中，所述基于区块链的品质智能监控系统还包括：品质报告模块，用于根据产品的生产制程数据及品质管控标准，确定生产制程中的问题节点，并生成产品的品质信息，且将产品的品质信息上传至区块链存储。
- 一种基于区块链的品质智能监控方法，其中，所述基于区块链的品质智能监控方法应用于基于区块链的品质智能监控系统，所述基于区块链的品质智能监控方法包括以下步骤：实时记录产品的生产制程数据，并将生产制程数据上传至区块链，以供客户端实时获取产品的生产状况；根据产品的生产制程数据及品质管控标准，生成产品的品质信息，并将产品的品质信息上传至区块链，以供客户端实时获取产品的品质状况；根据产品的品质信息，调整品质管控标准，并将调整后的品质管控标准上传至区块链，以供区块链更新品质管控标准。
- 如权利要求6所述的基于区块链的品质智能监控方法，其中，所述实时记录产品的生产制程数据的步骤之前还包括：基于生产制程模型模拟产品的生产制程过程，并预测生产制程过程中劣质产品的生产制程解决方案，以在检测到劣质品质时，基于劣质产品的生产制程解决方案调整当前的生产制程方案。
- 如权利要求6所述的基于区块链的品质智能监控方法，其中，所述根据产品的生产制程数据及品质管控标准，生成产品的品质信息的步骤包括：根据产品的生产制程数据及品质管控标准，确定生产制程中的问题节点，并生成产品的品质信息。
- 如权利要求7所述的基于区块链的品质智能监控方法，其中，所述基于生产制程模型模拟产品的生产制程过程的步骤之前，还包括：获取区块链中存储的产品的生产制程数据及品质管控标准，以根据生产制程数据及品质管控数据建立生产制程模型。
- 一种可读存储介质，其中，所述可读存储介质上存储有基于区块链的品质智能监控程序，所述基于区块链的品质智能监控程序被处理器执行时实现如权利要求6至9中任一项所述的基于区块链的品质智能监控方法的步骤。
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