A safety control system for a polymer silicone sealant

Abstract

The present invention discloses a safety control system for a polymer silicone sealant, which includes a process parameter acquisition module, a database, a 5G transmission module, a signal receiving module, and a control terminal. It also includes a data extraction module, a data analysis module, a signal flow acquisition module, a signal analysis module, and an error calibration module. It can automatically analyze and detect the process parameter data signal, calculate the deviation of the data signal and the bit value error of the data packet, and then calculate the data signal error value. The combination of the analysis of these three values can not only distinguish the level of the data signal error value, but also correct the data signal, analyze the cause of the data error, and make corresponding treatments according to the error cause, so as to realize the adjustment of the process parameter data signal itself and improve the use effect of the safety control system for the polymer silicone sealant.

Description

Technical Field

[0001] The present invention relates to the technical field of safety control, and particularly to a safety control system for a polymer silicone sealant. Background Art

[0002] The control system of the polymer silicone sealant is used to monitor and manage the entire production process to ensure product quality, production efficiency, and production safety. Through automatic control and data analysis, the production process is continuously optimized to improve production efficiency and product quality stability. However, in actual applications, inaccurate control of process parameters may lead to unqualified product quality. During long-term use, the calibration of process parameters of the control system needs to be continuously adjusted. Currently, manual calibration only adjusts the parameter standards and cannot adjust the process parameter data signals themselves, which will affect the use effect of the safety control system for the polymer silicone sealant. Summary of the Invention

[0003] The present invention provides a safety control system for a polymer silicone sealant, which can analyze and detect process parameter data signals and make corresponding treatments according to the level of data signal error values.

[0004] The technical solution it adopts is that a safety control system for a polymer silicone sealant includes a process parameter acquisition module, a database, a 5G transmission module, a signal receiving module, and a control terminal. It also includes a data extraction module, a data analysis module, a signal flow acquisition module, a signal analysis module, and an error calibration module. The specific steps are as follows:

[0005] S1, The process parameter acquisition module real-time collects the data signal A of the process parameters during the production of the polymer silicone sealant, and compresses the data signal A into a data packet A-1 and transmits it to the signal receiving module through the 5G transmission module;

[0006] S2, The data extraction module extracts the data signal A from the data packet A-1 and sends it to the data analysis module. The data analysis module extracts the corresponding standard data signal A-2 and the data signal A-3 collected last time adjacent in the database, and then calculates the data signal deviation value A-4, A-4 = [|A-2 - A| / A-2] * 0.8 + [|A-3 - A| / A-3] * 0.2. The data signal deviation value A-4 is transmitted to the error calibration module;

[0007] S3, The signal analysis module collects the bit value A-1-1 of the data packet A-1 and sends it to the signal analysis module. The signal analysis module extracts the corresponding standard bit value A-1-2 in the database and calculates the bit error value A-1-3 of the data packet A-1, A-1-3 = |A-1-2 - A-1-1| / A-1-2, and then the bit error value A-1-3 is sent to the error calibration module;

[0008] S4. The error calibration module calculates based on the data signal deviation value A-4 and the bit error value A-1-3

[0009] the data signal error value A-5, A-5 = A-1-3 * 0.4 + A-4 * 0.6. When the data signal error value A-5 is less than 0.5, it indicates that the data signal error is normal, which is a first-level error;

[0010] When the data signal error value A-5 is greater than 0.5 and less than 0.8, it indicates that the data signal error is within an adjustable range, which is a second-level error. Then, the corrected data signal A-6 is calculated, A-6 = A + A-4;

[0011] When the data signal error value A-5 is greater than 0.8, it indicates that the data signal error is large, which is a third-level error;

[0012] S5. The control terminal receives the data signal error value and makes corresponding processing according to the level of the data signal error value.

[0013] Further, in step S5, when the data signal error value received by the control terminal is a first-level error, it works normally;

[0014] When the data signal error value received by the control terminal is a second-level error, the data signal A in the data packet A-1 is replaced by the corrected data signal A-6, and then it works normally;

[0015] When the data signal error value received by the control terminal is a third-level error, the data signal A in the data packet A-1 is marked as abnormal. Further analyze the data signal deviation value A-4 and the bit error value A-1-3. When the data signal deviation value A-4 is greater than 0.5, it indicates that the corresponding process parameter acquisition module is abnormal, and relevant personnel are notified for maintenance;

[0016] When the bit error value A-1-3 is greater than 0.4, it indicates that the data signal A is interfered during the transmission process. Switch the data signal A transmission channel, and finally repeat step S1.

[0017] Due to the adoption of the above technical solutions, the present invention has the following advantages compared with the prior art;

[0018] 1. It can automatically analyze and detect the process parameter data signal, calculate and analyze the data signal deviation and the bit value error of the data packet, and then calculate the data signal error value. The combination of the analysis of the three values can not only distinguish the level of the data signal error value, but also correct the data signal, analyze the cause of the data error, make corresponding processing according to the error cause, realize the adjustment of the process parameter data signal itself, and improve the use effect of the safety control system of the polymer silicone sealant. Description of the Drawings

[0019] Figure 1 This is a module diagram of a safety control system for a polymer silicone sealant of the present invention. Detailed implementation manners

[0020] Regarding the foregoing and other technical contents, features and effects of the present invention, they will be clearly presented in the following detailed description of the embodiments in conjunction with the attached Figure 1 drawings. The structural contents mentioned in the following embodiments are all referenced to the drawings of the specification.

[0021] In order to further adjust the process parameter data signal itself and improve the use effect of the safety control system for polymer silicone sealant, it includes a process parameter acquisition module, a database, a 5G transmission module, a signal receiving module, a control terminal, and also includes a data extraction module, a data analysis module, a signal flow acquisition module, a signal analysis module and an error calibration module. The specific steps are as follows;

[0022] S1. The process parameter acquisition module real-time collects the data signal A of the process parameters during the production of the polymer silicone sealant, and compresses the data signal A into a data packet A-1 and transmits it to the signal receiving module through the 5G transmission module;

[0023] S2. The data extraction module extracts the data signal A from the data packet A-1 and sends it to the data analysis module. The data analysis module extracts the corresponding standard data signal A-2 and the data signal A-3 collected last time adjacent in the database, and then calculates the data signal deviation value A-4, A-4 = [|A-2 - A| / A-2] * 0.8 + [|A-3 - A| / A-3] * 0.2. The data signal deviation value A-4 is transmitted to the error calibration module;

[0024] S3. The signal analysis module collects the bit value A-1-1 of the data packet A-1 and sends it to the signal analysis module. The signal analysis module extracts the corresponding standard bit value A-1-2 in the database, calculates the bit error value A-1-3 of the data packet A-1, A-1-3 = |A-1-2 - A-1-1| / A-1-2, and then the bit error value A-1-3 is sent to the error calibration module;

[0025] S4. The error calibration module calculates

[0026] the data signal error value A-5 through the data signal deviation value A-4 and the bit error value A-1-3, A-5 = A-1-3 * 0.4 + A-4 * 0.6. When the data signal error value A-5 is less than 0.5, it means that the data signal error is normal, which is a first-level error;

[0027] When the data signal error value A - 5 is greater than 0.5 and less than 0.8, it indicates that the data signal error is within the adjustable range and is a secondary error. Then, the corrected data signal A - 6 is calculated, where A - 6 = A + A - 4;

[0028] When the data signal error value A - 5 is greater than 0.8, it indicates that the data signal error is large and is a tertiary error;

[0029] S5. The control terminal receives the data signal error value and makes corresponding processing according to the level of the data signal error value.

[0030] Further, in step S5, when the data signal error value received by the control terminal is a primary error, it operates normally;

[0031] When the data signal error value received by the control terminal is a secondary error, the data signal A in the data packet A - 1 is replaced by the corrected data signal A - 6, and then it operates normally;

[0032] When the data signal error value received by the control terminal is a tertiary error, the data signal A in the data packet A - 1 is marked as abnormal. The data signal deviation value A - 4 and the bit error value A - 1 - 3 are further analyzed. When the data signal deviation value A - 4 is greater than 0.5, it indicates that the corresponding process parameter acquisition module is abnormal, and relevant personnel are notified for maintenance;

[0033] When the bit error value A - 1 - 3 is greater than 0.4, it indicates that the data signal A is interfered during transmission. The data signal A transmission channel is switched. There are at least two data signal A transmission channels, and then step S1 is repeated.

[0034] The above formulas are all obtained through continuous calculations by the model. Different production of high - molecular organosilicon sealants is different, and different modifications can also be made.

[0035] During specific use, the process parameter acquisition module real - time collects the data signal A of the process parameters during the production of high - molecular organosilicon sealant, compresses the data signal A into a data packet A - 1, and transmits it to the signal receiving module through the 5G transmission module;

[0036] The data extraction module extracts the data signal A from the data packet A - 1 and sends it to the data analysis module. The data analysis module extracts the corresponding standard data signal A - 2 and the previously collected adjacent data signal A - 3 from the database, and then calculates the data signal deviation value A - 4, where A - 4 = [|A - 2 - A| / A - 2] * 0.8+[|A - 3 - A| / A - 3] * 0.2. The data signal deviation value A - 4 is transmitted to the error calibration module;

[0037] The signal analysis module collects the bit value A-1-1 of data packet A-1 and sends it to the signal analysis module. The signal analysis module extracts the corresponding standard bit value A-1-2 in the database, calculates the bit error value A-1-3 of data packet A-1, where A-1-3 = |A-1-2 - A-1-1| / A-1-2, and then sends the bit error value A-1-3 to the error calibration module;

[0038] The error calibration module calculates based on the data signal deviation value A-4 and the bit error value A-1-3

[0039] the data signal error value A-5, where A-5 = A-1-3 * 0.4 + A-4 * 0.6. When the data signal error value A-5 is less than 0.5, it indicates that the data signal error is normal, which is a first-level error;

[0040] When the data signal error value A-5 is greater than 0.5 and less than 0.8, it indicates that the data signal error is within an adjustable range, which is a second-level error. Then, the corrected data signal A-6 is calculated, where A-6 = A + A-4;

[0041] When the data signal error value A-5 is greater than 0.8, it indicates that the data signal error is large, which is a third-level error;

[0042] The control terminal receives the data signal error value and makes corresponding processing according to the level of the data signal error value. It can automatically analyze and detect the process parameter data signal, calculate and analyze the data signal deviation and the bit value error of the data packet, and then calculate the data signal error value. The combination of the analysis of these three values can not only distinguish the level of the data signal error value, but also correct the data signal, analyze the cause of the data error, and make corresponding processing according to the error cause, improving the use effect of the safety control system for high molecular organosilicon sealant.

[0043] The above is a further detailed description of the present invention in combination with specific embodiments. It cannot be determined that the specific implementation of the present invention is only limited to this; for those skilled in the art of the present invention and related technical fields, based on the premise of the technical solution idea of the present invention, the expansion, operation methods, and data replacement should all fall within the protection scope of the present invention.

Claims

1. A polymer silicone sealant safety control system, including a process parameter acquisition module, a database and a 5G transmission module, a signal receiving module, and a control terminal, characterized in that: It also includes a data extraction module, a data analysis module, a signal flow acquisition module, a signal analysis module and an error calibration module, and the specific steps are as follows; S1, the process parameter acquisition module collects the data signal A of the process parameters during the production of polymer silicone sealant in real time, and compresses the data signal A into a data packet A-1 and transmits it to the signal receiving module through the 5G transmission module; S2, the data extraction module extracts the data signal A in the data packet A-1 and sends it to the data analysis module, the data analysis module extracts the corresponding standard data signal A-2 and the adjacent last collected data signal A-3 in the database, and then calculates the data signal deviation value A-4, A-4=[|(A-2)- A| / (A-2)]*0.8+ [|(A-3)- A| / (A-3)]*0.2, and the data signal deviation value A-4 is transmitted to the error calibration module; S3, the signal analysis module collects the bit value A-1-1 of the data packet A-1 and sends it to the signal analysis module, the signal analysis module extracts the corresponding standard bit value A-1-2 in the database, calculates the bit error value A-1-3 of the data packet A-1, A-1-3=|(A-1-2)-(A-1-1)| / (A-1-2), and then sends the bit error value A-1-3 to the error calibration module; S4, the error calibration module calculates the data signal deviation value A-4 and the bit error value A-1-3 Data signal error value A-5, A-5=(A-1-3)*0.4+(A-4)*0.

6. When the data signal error value A-5 is less than 0.5, it means that the data signal error is normal, which is a first-level error. When the data signal error value A-5 is greater than 0.5 and less than 0.8, it means that the data signal error is within the adjustable range and is a secondary error. Then the corrected data signal A-6 is calculated, A-6=A+ A-4; When the data signal error value A-5 is greater than 0.8, it means that the data signal error is large and is a third-level error; S5, the control terminal receives the data signal error value and performs corresponding processing according to the level of the data signal error value.

2. A polymer silicone sealant safety control system as claimed in claim 1, characterized in that: In step S5, when the error value of the data signal received by the control terminal is a first-level error, the control terminal operates normally; When the error value of the received data signal is a second-level error, the control terminal replaces the data signal A in the data packet A-1 with the corrected data signal A-6, and then operates normally; When the control terminal receives a data signal error value of level three, it marks the data signal A in the data packet A-1 as abnormal, and further analyzes the data signal deviation value A-4 and the bit error value A-1-3. When the data signal deviation value A-4 is greater than 0.5, it indicates that the corresponding process parameter acquisition module is abnormal, and the relevant personnel are notified for maintenance; When the bit error value A-1-3 is greater than 0.4, it indicates that the data signal A is interfered during transmission, and the data signal A transmission channel is switched, and finally step S1 is repeated.

3. A polymer silicone sealant safety control system as claimed in claim 2, characterized in that: The data signal A has at least two transmission channels.

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