Spectrum monitoring method for industrial material production

Abstract

The invention provides a spectrum monitoring method for industrial material production, which comprises the following steps that: a spectrum analysis sensor and spectrum monitoring equipment are arranged on an industrial material production line, and the spectrum analysis sensor acquires spectrum data of products in production equipment at each stage in real time and feeds back the spectrum data to the spectrum monitoring equipment; the spectrum monitoring equipment performs data analysis and data correction on the collected product spectrum data, extracts key features and parameters of the product spectrum data, generates an industrial material production real-time monitoring report once every set period by using a set algorithm and a set model, and uploads the report to an industrial material production control center; the industrial material production control center automatically adjusts production equipment parameters of each stage of the industrial material production line and controls the industrial material production process to be within a set parameter range. The system has the beneficial effects that the production process of the industrial material can be monitored in real time, the product quality and the production efficiency of the industrial material are improved, and the production cost is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of spectrum monitoring, and in particular to a spectrum monitoring method for industrial material production. Background Art

[0002] Spectral monitoring, also known as spectral analysis, is a method of identifying substances and determining their chemical composition and relative content based on the spectrum of the substance. Its advantages are sensitivity and rapidity. Many new elements have been discovered through spectral analysis in history, such as rubidium, cesium, helium, etc. According to the analysis principle, spectral analysis can be divided into emission spectral analysis and absorption spectral analysis; according to the form of the measured components, it can be divided into atomic spectral analysis and molecular spectral analysis; spectral analysis is called atomic spectrum when the measured components are atoms, and molecular spectrum when the measured components are molecules. Since each atom has its own characteristic spectrum line, it is possible to identify substances and determine their chemical composition based on the spectrum. When doing spectral analysis, emission spectrum or absorption spectrum can be used. If the content of a certain element in a substance reaches 10^-10 (10 to the negative 10th power) grams, its characteristic spectrum line can be found from the spectrum, so it can be checked out. Spectral analysis has a wide range of applications in science and technology. For example, when checking whether semiconductor materials silicon and germanium have reached high purity requirements, spectral analysis is used.

[0003] At present, in the production process of industrial materials, it is necessary to conduct physical property testing on industrial materials at various stages of the production process to ensure that the final qualified rate of industrial material products meets certain requirements. The traditional physical property testing method generally monitors the production process of industrial materials through offline sampling + sample testing, but this method has the following problems:

[0004] 1. High time and material costs. The traditional offline sampling method leads to high time and material costs. It is necessary to wait until the entire industrial material production process is completed before testing can be performed, which affects the production efficiency and cost control of industrial materials;

[0005] 2. Sampling result deviation. Since the offline sampling method is blind random sampling, there will inevitably be a problem of sampling result deviation, which will affect the accurate monitoring and control of the industrial material production process;

[0006] 3. Unable to monitor and adjust in real time. The offline sampling method limits the ability to monitor and adjust the production process in real time, and cannot promptly discover and solve problems in the production process, affecting production efficiency and product quality. It is also impossible to obtain key data in a timely manner, which limits the flexibility and response speed of the production process. In addition, there is a lack of real-time production data-driven decision support, which affects the optimization and improvement of the production process. Summary of the invention

[0007] In order to solve the problems in the prior art, the present invention provides a spectral monitoring method for the production of industrial materials. Through spectral monitoring equipment and sensors, each stage in the entire production process of industrial materials is monitored in real time, and the product spectral data of each stage in the production process are analyzed in real time to infer the key parameters and reaction degree of the products in each stage. The method can detect various problems encountered in the production process of industrial materials in real time and accurately, and then solve these problems efficiently, greatly improve the product quality of industrial materials, save time and material costs, and improve production efficiency. The problem of high cost, low efficiency and unstable quality of physical property detection through offline sampling + sample detection in the prior art in the production process of industrial materials is solved.

[0008] A spectrum monitoring method for industrial material production of the present invention comprises the following steps:

[0009] Step 1: Deploy spectral analysis sensors in production equipment at various stages of industrial material production lines;

[0010] Step 2: Establish a connection between the spectrum monitoring device and the spectrum analysis sensor;

[0011] Step 3: The spectrum monitoring equipment establishes a communication connection with the industrial material production control center;

[0012] Step 4: The spectral analysis sensor collects the spectral data of the products in the production equipment at each stage in real time and feeds it back to the spectral monitoring equipment;

[0013] Step 5: The spectral monitoring equipment performs data analysis and data correction on the collected product spectral data, extracts key features and parameters of the product spectral data, and identifies whether there are abnormalities in the product spectral data;

[0014] Step 6: When the spectrum monitoring device identifies that there is no abnormality in the product spectrum data, the spectrum monitoring device uses the set algorithm and model to generate a real-time monitoring report on industrial material production every set period and upload it to the industrial material production control center;

[0015] Step 7: The industrial material production control center automatically adjusts the production equipment parameters of each stage of the industrial material production line according to the real-time monitoring report of industrial material production or abnormal alarm notification, and controls the industrial material production process to be within the set parameter range.

[0016] The present invention is further improved. In step 5, when the spectral monitoring device identifies an abnormality in the product spectral data, the spectral monitoring device issues an abnormality alarm to prompt the management personnel and uploads it to the industrial material production control center.

[0017] The present invention is further improved in that in step 1, the industrial material production control center is connected to the control of production equipment at each stage of the industrial material production line.

[0018] The present invention is further improved. In step 2, a plurality of spectral monitoring devices may be deployed in the industrial material production line, and each spectral monitoring device may be connected to a plurality of spectral analysis sensors.

[0019] The present invention is further improved, in step 3, the spectrum monitoring device and the industrial material production control center establish a communication connection in a wired manner.

[0020] The present invention is further improved, in step 5, the spectral monitoring equipment is preset with normal parameter ranges of spectral data of products in production equipment at each stage of industrial material production.

[0021] The present invention is further improved, in step 6, the set period for generating a real-time monitoring report on industrial material production is initially set to 5 minutes.

[0022] The present invention is further improved. In step 7, when the industrial material production control center automatically adjusts the production equipment parameters of each stage of the industrial material production line according to the abnormal alarm notification, the production management personnel are notified at the same time.

[0023] The beneficial effects of the present invention are as follows: the present invention provides a spectral monitoring method for industrial material production, which monitors each stage of the entire production process of industrial materials in real time through spectral monitoring equipment and sensors, and analyzes the product spectral data of each stage in the production process in real time to deduce the key parameters and reaction degree of the products in each stage, and can discover various problems encountered in the production process of industrial materials in real time and accurately, and then solve these problems efficiently, and can also provide data support for process optimization and improvement, greatly improving the product quality of industrial materials; compared with the traditional offline sampling + sample detection method, the spectral monitoring equipment and sensors can monitor in real time without waiting for the entire industrial material production process to be completed, saving time and cost. The data collected by spectral monitoring equipment and sensors can be fed back to the industrial material production control center, which, combined with data analysis and artificial intelligence algorithms, can realize intelligent monitoring and automatic adjustment of the industrial material production process, improve the intelligence level of the production line, and reduce the risk of human intervention. Moreover, the data collected by spectral monitoring equipment and sensors in real time can record key data in the industrial material production process, improve the traceability of the production process, help track problems and improve production processes, and reduce production risks. This solves the problem of high cost, low efficiency, and unstable quality of physical property testing through offline sampling + sample testing in the existing technology during the industrial material production process. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 The present invention is a flow chart of a spectral monitoring method for industrial material production. DETAILED DESCRIPTION

[0025] The present invention is further described in detail below with reference to the accompanying drawings and embodiments.

[0026] See also Figure 1 A spectrum monitoring method for industrial material production of the present invention comprises the following steps:

[0027] Step 1: Deploy spectral analysis sensors in the production equipment at each stage of the industrial material production line; the industrial material production control center is connected to the control of the production equipment at each stage of the industrial material production line; in this embodiment, the industrial material production control center can adjust the parameters of the production equipment at each stage of the industrial material production line in real time, stabilize them within the set parameter range, and improve the product quality of the final industrial material product.

[0028] Step 2: Establish a connection between the spectral monitoring device and the spectral analysis sensor; multiple spectral monitoring devices can be deployed in the industrial material production line, and each spectral monitoring device can establish a connection with multiple spectral analysis sensors; in this embodiment, more than one spectral analysis sensor can be deployed in the production equipment of each stage. At the same time, in order to achieve the best monitoring effect, a spectral monitoring device can be set up in the production equipment of each stage. This spectral monitoring device is connected to all the spectral analysis sensors of the production equipment at that stage to monitor the spectral data of the products in the production equipment at that stage in real time.

[0029] Step 3: The spectral monitoring device establishes a communication connection with the industrial material production control center; the spectral monitoring device establishes a communication connection with the industrial material production control center by wired connection or wireless connection; in this embodiment, in order to prevent the surrounding environment from interfering with the wireless transmission, a wired connection is used for transmission, which has strong anti-interference ability and faster transmission speed.

[0030] Step 4: The spectral analysis sensor collects the spectral data of the products in the production equipment at each stage in real time and feeds it back to the spectral monitoring device; in this embodiment, the spectral analysis sensor is used to collect the spectral data of the products in the production equipment at each stage, and then sends it to the spectral monitoring device for analysis to monitor whether the production equipment at that stage is within the normal operating range.

[0031] Step 5: The spectral monitoring device performs data analysis and data correction on the collected product spectral data, extracts key features and parameters of the product spectral data, and identifies whether there are abnormalities in the product spectral data; the spectral monitoring device is preset with normal parameter ranges of spectral data of products in production equipment at various stages of industrial material production. In this embodiment, the normal parameter ranges of spectral data of products in production equipment at various stages of industrial material production preset in the spectral monitoring device are used by the spectral monitoring device to identify whether there are abnormalities in the product spectral data and to determine whether the production equipment at this stage is within the normal operating range.

[0032] Step 6: When the spectral monitoring device recognizes that there is no abnormality in the product spectral data, the spectral monitoring device uses the set algorithm and model to generate a real-time monitoring report on industrial material production at a set period, and upload it to the industrial material production control center; when the spectral monitoring device recognizes that there is an abnormality in the product spectral data, the spectral monitoring device issues an abnormality alarm to prompt the management personnel and upload it to the industrial material production control center; in this embodiment, the set period for generating a real-time monitoring report on industrial material production is initially set to 5 minutes. The user can modify this set period as needed. The initial setting of 5 minutes will not be too frequent, and real-time monitoring effects can be achieved.

[0033] Step 7: The industrial material production control center automatically adjusts the parameters of the production equipment at each stage of the industrial material production line according to the real-time monitoring report of the industrial material production or the abnormal alarm notification, and controls the industrial material production process to be within the set parameter range; when the industrial material production control center automatically adjusts the parameters of the production equipment at each stage of the industrial material production line according to the abnormal alarm notification, it notifies the production management personnel at the same time. In this embodiment, the various stages of the entire production process of industrial materials are monitored in real time by spectral monitoring equipment and sensors, and the product spectral data of each stage in the production process are analyzed in real time to calculate the key parameters and reaction degree of the products at each stage, so that various problems encountered in the production process of industrial materials can be discovered in real time and accurately, and then these problems can be solved efficiently, and data support can be provided for process optimization and improvement, greatly improving the product quality of industrial materials; compared with the traditional offline sampling + sample detection method, the spectral monitoring equipment and sensors can monitor in real time without waiting for the entire industrial material production process to be completed, saving time and material costs and improving production efficiency.

[0034] From the above, it can be seen that the beneficial effects of the present invention are as follows: the spectral monitoring method for industrial material production provided by the present invention monitors each stage of the entire production process of industrial materials in real time through spectral monitoring equipment and sensors, and analyzes the product spectral data of each stage in the production process in real time to infer the key parameters and reaction degree of the products in each stage, so as to discover various problems encountered in the production process of industrial materials in real time and accurately, and then solve these problems efficiently, and also provide data support for process optimization and improvement, greatly improving the product quality of industrial materials; compared with the traditional offline sampling + sample detection method, the spectral monitoring equipment and sensors can monitor in real time without waiting for the entire industrial material production process to be completed, saving time. The time cost and material cost are reduced, and production efficiency is improved; the data monitored in real time by spectral monitoring equipment and sensors can be fed back to the industrial material production control center. Combined with data analysis and artificial intelligence algorithms, intelligent monitoring and automatic adjustment of the industrial material production process can be realized, the intelligence level of the production line can be improved, and the risk of human intervention can be reduced; and the data monitored in real time by spectral monitoring equipment and sensors can record key data in the industrial material production process, improve the traceability of the production process, help track problems and improve production processes, and reduce production risks; it solves the problem of high cost, low efficiency and unstable quality of physical property testing through offline sampling + sample testing in the existing technology during the industrial material production process.

[0035] The specific implementation modes described above are preferred implementation modes of the present invention, and are not intended to limit the specific implementation scope of the present invention. The scope of the present invention includes but is not limited to the specific implementation modes, and all equivalent changes made according to the present invention are within the protection scope of the present invention.

Claims

1. A spectral monitoring method for industrial material production, characterized in that: The following steps are included: Step 1: Deploy spectral analysis sensors in production equipment at various stages of industrial material production lines; Step 2: Establish a connection between the spectrum monitoring device and the spectrum analysis sensor; Step 3: The spectrum monitoring equipment establishes a communication connection with the industrial material production control center; Step 4: The spectral analysis sensor collects the spectral data of the products in the production equipment at each stage in real time and feeds it back to the spectral monitoring equipment; Step 5: The spectral monitoring equipment performs data analysis and data correction on the collected product spectral data, extracts key features and parameters of the product spectral data, and identifies whether there are abnormalities in the product spectral data; Step 6: When the spectrum monitoring device identifies that there is no abnormality in the product spectrum data, the spectrum monitoring device uses the set algorithm and model to generate a real-time monitoring report on industrial material production every set period and upload it to the industrial material production control center; Step 7: The industrial material production control center automatically adjusts the production equipment parameters of each stage of the industrial material production line according to the real-time monitoring report of industrial material production or abnormal alarm notification, and controls the industrial material production process to be within the set parameter range.

2. The spectral monitoring method for industrial material production according to claim 1, characterized in that: In step 5, when the spectrum monitoring device identifies an abnormality in the product spectrum data, the spectrum monitoring device issues an abnormality alarm to prompt the management personnel and uploads it to the industrial material production control center.

3. The spectral monitoring method for industrial material production according to claim 2, characterized in that: In step 1, the industrial material production control center is connected to the production equipment control of each stage of the industrial material production line.

4. The spectral monitoring method for industrial material production according to claim 3, characterized in that: In the step 2, a plurality of spectral monitoring devices may be deployed in the industrial material production line, and each spectral monitoring device may be connected to a plurality of spectral analysis sensors.

5. The spectral monitoring method for industrial material production according to claim 4, characterized in that: In step 3, the spectral monitoring device establishes a communication connection with the industrial material production control center through a wired connection.

6. The spectral monitoring method for industrial material production according to claim 5, characterized in that: In step 5, the spectral monitoring device is preset with normal parameter ranges of spectral data of products in production equipment at each stage of industrial material production.

7. The spectral monitoring method for industrial material production according to claim 6, characterized in that: In step 6, the set period for generating a real-time monitoring report on industrial material production is initially set to 5 minutes.

8. The spectral monitoring method for industrial material production according to claim 7, characterized in that: In step 7, when the industrial material production control center automatically adjusts the production equipment parameters of each stage of the industrial material production line according to the abnormal alarm notification, the production management personnel are notified at the same time.

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