Online quality detection and analysis system based on precise measurement and control equipment

Abstract

The invention provides an online quality detection and analysis system based on precise measurement and control equipment, and belongs to the field of intelligent detection systems. The problem that existing quality measurement and control analysis is manually monitored and data are collected is solved. The system realizes the functions of real-time cpk statistics, real-time qualification rate statistics and alarming, quality data tracing and the like through data acquisition, data uploading and storage and monitoring of measurement and control data, performs data tracking analysis through data acquisition, processing and presentation of a client module, and finally realizes controllability and stability monitoring of a production process, so that the production efficiency is improved, and the production cost is reduced. The purposes of reducing quality loss and finally improving product quality are achieved. The system has the advantage of real-time measurement and control.

Description

Technical Field

[0001] The present invention belongs to the field of intelligent detection systems, and relates to a measurement, control and analysis system, and in particular to an online quality detection and analysis system based on precision measurement and control equipment. Background Art

[0002] There are various quality analyses available, which mainly use precision measurement and control equipment to measure and control the dimensions of spare parts. After the measurement and control is completed, the measurement and control results are recorded manually. After the measurement and control is completed, specialized quality measurement and control analysts collect the measurement and control result data of each workstation, manually enter it into a prepared EXCEL table, and perform logical operations through the calculation formulas edited in the table to finally obtain the quality analysis results.

[0003] The above measurement and analysis methods have the following disadvantages: 1. Measurement and control data are recorded manually and entered into the system, which is prone to data entry errors and data omissions; 2. Data calculation requires multiple steps to complete, and the analysis results are severely delayed; 3. Data recording and collection must be transferred by multiple people, which may lead to the risk of data tampering; 4. Data recording and collection require the collaboration of multiple people, resulting in the occupation and waste of human resources. Summary of the Invention

[0004] The purpose of the present invention is to provide an online quality detection and analysis system based on precision measurement and control equipment to solve the above problems existing in the prior art.

[0005] The purpose of the present invention can be achieved through the following technical solutions: an online quality detection and analysis system based on precision measurement and control equipment, characterized in that the system includes the following modules: Cloud servers are used for real-time collection, storage and analysis of measurement and control data; The quality control module connects to precision measurement and control equipment through standardized interfaces RS-485 and Modbus to obtain measurement data in real time and convert it into a unified format; The data acquisition module uses a lightweight transmission protocol to achieve low-latency data transmission and has a built-in data verification mechanism to ensure integrity. It collects quality measurement and control data of current precision measurement and control equipment in real time and transmits the data to the cloud server through the transmission protocol; The data analysis module combines industry-standard formula parameters, including calculation formulas used in SPC statistical process control, to generate data analysis results for the collected data and continuously updates the data analysis results based on real-time data; The data analysis module performs quality analysis using the following SPC calculation formula: Mean: Mean=∑i=1nxi / n; Max (maximum value): Max=Xmax; Min (minimum value): Min=Xmin; Range (maximum span): Range=Xmax−Xmin; StdDev (standard deviation): StdDev = √[Σ(xi - Mean)² / (n-1)]; Cp (process capability index): Cp=USL−LSL / 6σ; Cpk (corrected process capability index): Cpk = min[(USL−μ) / 3σ, (μ−LSL) / 3σ]; Offset coefficient (k): k = T / 2|M−μ|; Where, T = USL − LSL, M = (USL + LSL) / 2; Probability of exceeding the upper specification limit (Fpu): Fpu=1−Normsdist(3×Cpu); Probability of exceeding the lower specification limit (Fpl): Fpl = 1 − Normsdist(3 × Cpl); The probability of exceeding the upper and lower specification limits (Fp): Fp=Fpu+Fpl; Client module, used for real-time monitoring of the collection, processing and presentation of measurement data, as well as data tracking and analysis; The above-mentioned quality control module is connected to different precision measurement and control equipment and is used to monitor the measurement and control result data of the measurement and control equipment in real time; The above data analysis module dynamically updates the SPC results based on real-time data, and generates an alarm signal and triggers the early warning threshold when Cpk<1.33.

[0006] The system's data monitoring process for different precision measurement and control equipment is as follows: According to the different precision measurement and control equipment that need to be collected, quality control modules are installed, and data from the data acquisition module and each quality control module are collected in real time; The data acquisition module transmits the real-time measurement and control data collected to the cloud server through the network mobile transmission protocol for real-time update, storage and backup; The data analysis module processes the real-time measurement and control data within the cloud server and generates data analysis results based on industry standard formula parameters; The client module displays data acquisition, collection and presentation in real time, and tracks and analyzes the data to achieve control and stable monitoring of the entire production process.

[0007] In the above-mentioned online quality inspection and analysis system based on precision measurement and control equipment, the client module supports multi-terminal collaborative operation, including data synchronization display and permission hierarchical management on the mobile Android / iOS and PC terminals, which facilitates back-end technicians to monitor data in real time, as well as regulate and trace data.

[0008] In the above-mentioned online quality inspection and analysis system based on precision measurement and control equipment, the network mobile transmission protocol is dynamically switched according to the production environment, such as 4G for mobile devices and WIFI for fixed workstations, and supports breakpoint resume function. In the above-mentioned online quality inspection and analysis system based on precision measurement and control equipment, the system uses blockchain technology to encrypt and store quality measurement and control data, ensuring that the data cannot be tampered with and can be traced back to specific equipment and operators.

[0009] Compared with the existing technology, this online quality inspection and analysis system based on precision measurement and control equipment realizes functions such as real-time statistics of CPK, real-time statistics and alarms of qualified rate, and quality data traceability through data collection, data upload, and storage and monitoring of measurement and control data. It also displays the collection, processing and presentation of data through the client module, conducts data tracking and analysis, and ultimately realizes the controllability and stability monitoring of the production process, thereby reducing quality losses and ultimately improving product quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] Figure 1 It is a system framework diagram of the present invention. DETAILED DESCRIPTION

[0011] The following are specific embodiments of the present invention and the accompanying drawings to further describe the technical solutions of the present invention, but the present invention is not limited to these embodiments.

[0012] like Figure 1 As shown, an online quality detection and analysis system based on precision measurement and control equipment is characterized in that the system includes the following modules: Cloud servers are used for real-time collection, storage and analysis of measurement and control data; The quality control module connects to precision measurement and control equipment through standardized interfaces such as RS-485 and Modbus to obtain measurement data in real time and convert it into a unified format; The data acquisition module uses a lightweight transmission protocol to achieve low-latency data transmission and has a built-in data verification mechanism to ensure integrity. It collects quality measurement and control data of current precision measurement and control equipment in real time and transmits the data to the cloud server through the transmission protocol; The data analysis module combines industry-standard formula parameters, including calculation formulas used in SPC statistical process control, to generate data analysis results for the collected data and continuously updates the data analysis results based on real-time data; The data analysis module performs quality analysis using the following SPC calculation formula: Mean: Mean=∑i=1nxi / n; Max (maximum value): Max=Xmax; Min (minimum value): Min=Xmin; Range (maximum span): Range=Xmax−Xmin; StdDev (standard deviation): StdDev = √[Σ(xi - Mean)² / (n-1)]; Cp (process capability index): Cp=USL−LSL / 6σ; Cpk (corrected process capability index): Cpk = min[(USL−μ) / 3σ, (μ−LSL) / 3σ]; Offset coefficient (k): k = T / 2|M−μ|; Where, T = USL − LSL, M = (USL + LSL) / 2; Probability of exceeding the upper specification limit (Fpu): Fpu=1−Normsdist(3×Cpu); Probability of exceeding the lower specification limit (Fpl): Fpl = 1 − Normsdist(3 × Cpl); The probability of exceeding the upper and lower specification limits (Fp): Fp=Fpu+Fpl; Client module, used for real-time monitoring of the collection, processing and presentation of measurement data, as well as data tracking and analysis; The quality control module is connected to the precision measurement and control equipment and is used to monitor the measurement and control result data of the measurement and control equipment in real time; The data analysis module dynamically updates the SPC results based on real-time data. When Cpk < 1.33, an alarm signal is generated and the warning threshold is triggered.

[0013] The system's data monitoring process for different precision measurement and control equipment is as follows: According to the different precision measurement and control equipment that need to be collected, quality control modules are installed, and data from the data acquisition module and each quality control module are collected in real time; The data acquisition module transmits the real-time measurement and control data collected to the cloud server through the network mobile transmission protocol for real-time update, storage and backup; The data analysis module processes the real-time measurement and control data within the cloud server and generates data analysis results based on industry standard formula parameters; The client module displays data acquisition, collection and presentation in real time, and tracks and analyzes the data to achieve control and stable monitoring of the entire production process.

[0014] The system uses blockchain technology to encrypt and store quality measurement and control data, ensuring that the data cannot be tampered with and can be traced back to specific equipment and operators.

[0015] The system collects and uploads data, saves and monitors the measurement and control data, and realizes functions such as real-time statistics of CPK, real-time statistics and alarms of qualified rate, and quality data traceability. It also displays the collection, processing and presentation of data through the client module, conducts data tracking and analysis, and ultimately realizes the controllability and stability monitoring of the production process, so as to reduce quality losses and ultimately improve product quality.

[0016] The client module supports multi-terminal collaborative operations, including data synchronization display and permission hierarchical management on mobile Android / iOS and PC terminals, which facilitates back-end technicians to monitor data in real time, as well as regulate and trace data. The network mobile transmission protocol is dynamically switched according to the production environment, such as 4G for mobile devices and WIFI for fixed workstations, and supports breakpoint resume function.

[0017] This system can realize the networking and digitization of production workshops, trace and analyze quality data of the safe production cycle, monitor and discover defects technically, and improve quality.

[0018] The specific embodiments described herein are merely illustrative of the spirit of the present invention. Persons skilled in the art may make various modifications, additions, or substitutions to the described specific embodiments without departing from the spirit of the present invention or exceeding the scope of the appended claims.

[0019] Although more terms are used herein, the possibility of using other terms is not excluded. These terms are used only to more conveniently describe and explain the essence of the present invention; interpreting them as any additional limitations is contrary to the spirit of the present invention.

Claims

1. An online quality detection and analysis system based on precision measurement and control equipment, characterized in that: The system includes the following modules: Cloud servers are used for real-time collection, storage and analysis of measurement and control data; The quality control module connects to precision measurement and control equipment through standardized interfaces RS-485 and Modbus to obtain measurement data in real time and convert it into a unified format; The data acquisition module uses a lightweight transmission protocol to achieve low-latency data transmission and has a built-in data verification mechanism to ensure integrity. It collects quality measurement and control data of current precision measurement and control equipment in real time and transmits the data to the cloud server through the transmission protocol; The data analysis module combines industry-standard formula parameters, including calculation formulas used in SPC statistical process control, to generate data analysis results for the collected data and continuously updates the data analysis results based on real-time data; The data analysis module performs quality analysis using the following SPC calculation formula: Mean: Mean=∑i=1nxi / n; Max (maximum value): Max=Xmax; Min (minimum value): Min=Xmin; Range (maximum span): Range=Xmax−Xmin; StdDev (standard deviation): StdDev = √[Σ(xi - Mean)² / (n-1)]; Cp (process capability index): Cp=USL−LSL / 6σ; Cpk (corrected process capability index): Cpk = min[(USL−μ) / 3σ, (μ−LSL) / 3σ]; Offset coefficient (k): k = T / 2|M−μ|; Where, T = USL − LSL, M = (USL + LSL) / 2; Probability of exceeding the upper specification limit (Fpu): Fpu=1−Normsdist(3×Cpu); Probability of exceeding the lower specification limit (Fpl): Fpl = 1 − Normsdist(3 × Cpl); The probability of exceeding the upper and lower specification limits (Fp): Fp=Fpu+Fpl; Client module, used for real-time monitoring of the collection, processing and presentation of measurement data, as well as data tracking and analysis; The above-mentioned quality control module is connected to the precision measurement and control equipment and is used to monitor the measurement and control result data of the measurement and control equipment in real time; The above data analysis module dynamically updates the SPC results based on real-time data. When Cpk <1.33, an alarm signal is generated and the warning threshold is triggered.

2. The system's data monitoring process for different precision measurement and control equipment is as follows: According to the different precision measurement and control equipment that need to be collected, quality control modules are installed, and data from the data acquisition module and each quality control module are collected in real time; The data acquisition module transmits the real-time measurement and control data collected to the cloud server through the network mobile transmission protocol for real-time update, storage and backup; The data analysis module processes the real-time measurement and control data within the cloud server and generates data analysis results based on industry standard formula parameters; The client module displays data acquisition, collection and presentation in real time, and tracks and analyzes the data to achieve control and stable monitoring of the entire production process.

3. The online quality detection and analysis system based on precision measurement and control equipment according to claim 1 is characterized in that: The client module supports multi-terminal collaborative operations, including data synchronization display and permission hierarchical management on mobile Android / iOS and PC, which facilitates back-end technicians to monitor data in real time, as well as regulate and trace data.

4. The online quality detection and analysis system based on precision measurement and control equipment according to claim 1 is characterized in that: The network mobile transmission protocol is dynamically switched according to the production environment and supports breakpoint resume function.

5. The online quality detection and analysis system based on precision measurement and control equipment according to claim 1 is characterized in that: The system uses blockchain technology to encrypt and store quality measurement and control data, ensuring that the data cannot be tampered with and can be traced back to specific equipment and operators.

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