An automatic temperature control and regulation system applicable to a long-bar hot shearing furnace

Abstract

The present invention discloses a temperature automatic control and adjustment system applicable to a long-bar hot shearing furnace, which relates to the field of temperature control and solves the problem that manual temperature adjustment is required when the long-bar hot shearing furnace processes different products. It includes a temperature analysis module, an intelligent control module, a product analysis module, and an intelligent testing module. The product analysis module is used to analyze the product situation of the workpiece to be processed by the long-bar hot shearing furnace. The intelligent testing module is used to test the sealing situation of the long-bar hot shearing furnace corresponding to the workpiece to be processed, and generates a normal test signal or an abnormal test signal. The temperature analysis module is used to analyze the temperature situation when the long-bar hot shearing furnace processes the workpiece to be processed, and generates a temperature increase abnormal signal or a temperature decrease abnormal signal. The intelligent control module is used to control the processing temperature of the long-bar hot shearing furnace corresponding to the workpiece to be processed. The present invention realizes the intelligent control of the working temperature of the long-bar hot shearing furnace based on the product characteristics.

Description

Technical Field

[0001] The present invention belongs to the technical field of temperature control and regulation, and specifically relates to an automatic temperature control and regulation system applicable to a long-bar hot shearing furnace. Background Art

[0002] Long-bar heating furnaces are divided into single-long-bar heating and hot shearing furnaces (referred to as single-bar hot shearing furnaces for short) and multi-long-bar heating and hot shearing furnaces (referred to as multi-bar hot shearing furnaces for short). The long-bar hot shearing furnace has a reasonable structure, a sealed furnace body, good heat insulation, and high thermal efficiency. During the use of the long-bar hot shearing furnace, the length of the aluminum bar can be adjusted at any time, which is convenient for production scheduling. Also, since the aluminum bar is cut for use, it avoids wasting raw materials in the way of sawing aluminum bars in the previous old furnaces.

[0003] When the current long-bar hot shearing furnace is in processing, since different products require different processing temperatures, during actual processing, it is necessary for workers to manually adjust the working temperature of the long-bar hot shearing furnace through the control panel. The manual temperature adjustment method is inefficient and inaccurate in temperature adjustment;

[0004] Therefore, we propose an automatic temperature control and regulation system applicable to a long-bar hot shearing furnace. Summary of the Invention

[0005] Aiming at the deficiencies of the existing technology, the purpose of the present invention is to provide an automatic temperature control and regulation system applicable to a long-bar hot shearing furnace.

[0006] The technical problem to be solved by the present invention is:

[0007] How to achieve intelligent control of the working temperature of the long-bar hot shearing furnace based on product characteristics.

[0008] The purpose of the present invention can be achieved by the following technical solutions:

[0009] An automatic temperature control and regulation system applicable to a long-bar hot shearing furnace includes a data acquisition module, a temperature analysis module, an intelligent control module, a user terminal, a storage module, a product analysis module, an intelligent test module, an execution component, and a server. The user terminal is used to input the workpiece number of the workpiece to be processed, and the workpiece number is sent to the product analysis module through the server; the storage module is used to store the processing temperature values of the processed parts corresponding to different product numbers; the product analysis module is used to analyze the product situation of the workpiece to be processed in the long-bar hot shearing furnace, and analyze the processing temperature of the workpiece to be processed or generate a matching abnormal signal and feedback it to the server. If a matching abnormal signal is generated, it is sent to the user terminal. The user terminal is used to input and set the processing temperature of the workpiece to be processed. If the processing temperature of the workpiece to be processed is analyzed, it is sent to the execution component. The execution component is used to perform the processing work of the workpiece to be processed according to the processing temperature;

[0010] The data acquisition module is used to acquire the sealing data of the long bar hot shear furnace corresponding to the workpiece to be processed. The sealing data is sent to the intelligent testing module through the server. The storage module is also used to store the test qualified data of the long bar hot shear furnace of the module. The intelligent testing module is used to test the sealing condition of the long bar hot shear furnace corresponding to the workpiece to be processed. The test generates a test normal signal or a test abnormal signal and feeds it back to the server. If the test normal signal is generated, no operation is performed. If the test abnormal signal is generated, it is sent to the user terminal, and the user terminal is used to view the long bar hot shear furnace.

[0011] After the test is completed, the data acquisition module is also used to collect the real-time temperature value of the long bar hot shear furnace when processing the workpiece to be processed in real time. The real-time temperature value is sent to the temperature analysis module through the server. The temperature analysis module is used to analyze the temperature condition of the long bar hot shear furnace when processing the workpiece to be processed. The analysis generates a temperature increase abnormal signal or a temperature decrease abnormal signal and feeds it back to the server. The server sends the temperature increase abnormal signal or the temperature decrease abnormal signal to the intelligent control module. The intelligent control module is used to control the processing temperature of the long bar hot shear furnace corresponding to the workpiece to be processed according to the temperature increase abnormal signal or the temperature decrease abnormal signal.

[0012] Further, the analysis process of the product analysis module is specifically as follows:

[0013] Obtain the workpiece number of the workpiece to be processed input by the user terminal;

[0014] Then obtain the different product numbers stored in the storage module;

[0015] Use Chinese word segmentation technology to compare the workpiece number with each product number one by one;

[0016] If the workpiece number matches any product number, calibrate the processing temperature corresponding to the product number as the processing temperature of the workpiece to be processed;

[0017] If the workpiece number does not match all product numbers, generate a matching abnormal signal.

[0018] Further, the sealing data is the number of tests of the long bar hot shear furnace, the test duration and the test furnace pressure value at each test;

[0019] The test qualified data is the voltage stabilization duration corresponding to different furnace pressure value intervals of the long bar hot shear furnace, and the preset qualification rate of the long bar hot shear furnace.

[0020] Further, the test process of the intelligent testing module is specifically as follows:

[0021] Set the test furnace pressure value of the long bar hot shear furnace, and then obtain the test furnace pressure value of the long bar hot shear furnace corresponding to the workpiece to be processed at different time points;

[0022] If the corresponding test furnace pressure values at all time points are equal, the steady pressure duration corresponding to the long bar hot shear furnace is obtained according to the furnace pressure value range to which the test furnace pressure value belongs;

[0023] If the test duration corresponding to the test furnace pressure value is greater than or equal to the steady pressure duration, the result of this test is recorded as a qualified test. If the test duration corresponding to the test furnace pressure value is less than the steady pressure duration, the result of this test is recorded as an unqualified test.

[0024] Furthermore, the test process of the intelligent test module further includes:

[0025] If the corresponding test furnace pressure values at different time points are not equal, the time point is recorded as an abnormal time point, and the duration from the previous time point to the abnormal time point and the duration from the abnormal time point to the next time point are excluded to obtain the test duration of the long bar hot shear furnace after exclusion. If the test duration of the long bar hot shear furnace after exclusion is greater than or equal to the steady pressure duration, the result of this test is recorded as a qualified test. If the test duration of the long bar hot shear furnace after exclusion is less than the steady pressure duration, the result of this test is recorded as an unqualified test;

[0026] Gradually increase the set test furnace pressure value of the long bar hot shear furnace, and perform tests according to the above steps, and record the test results at each test;

[0027] Count the number of qualified tests of the long bar hot shear furnace and record it as the number of qualified tests. The ratio of the number of qualified tests to the number of tests gives the test pass rate of the long bar hot shear furnace;

[0028] If the test pass rate is greater than or equal to the preset pass rate, a test normal signal is generated. If the test pass rate is less than the preset pass rate, a test abnormal signal is generated.

[0029] Furthermore, the analysis process of the temperature analysis module is specifically as follows:

[0030] Obtain the real-time temperature value when the long bar hot shear furnace processes the workpiece to be processed, and compare the real-time temperature value with the processing temperature value;

[0031] If the real-time temperature value at the current time point is equal to the processing temperature value, obtain the real-time temperature value at the previous time point; when the real-time temperature value at the current time point is equal to the real-time temperature value at the previous time point, the duration from the previous time point to the current time point is not recorded. When the real-time temperature value at the current time point is greater than the real-time temperature value at the previous time point, the duration from the previous time point to the current time point is recorded as the temperature increase exclusion duration segment. When the real-time temperature value at the current time point is less than the real-time temperature value at the previous time point, the duration from the previous time point to the current time point is recorded as the temperature decrease exclusion duration segment.

[0032] Furthermore, the analysis process of the temperature analysis module further includes:

[0033] If the real-time temperature value at the current time point is not equal to the processing temperature value, obtain the real-time temperature value at the previous time point;

[0034] When the real-time temperature at the previous time point is equal to the processing temperature value: if the real-time temperature value at the current time point is greater than the processing temperature value, the duration from the previous time point to the current time point is recorded as the temperature increase rejection duration segment; if the real-time temperature value at the current time point is less than the processing temperature value, the duration from the previous time point to the current time point is recorded as the temperature decrease rejection duration segment;

[0035] When the real-time temperature at the previous time point is not equal to the processing temperature value: if the real-time temperature value at the current time point is greater than the real-time temperature value at the previous time point, the duration from the previous time point to the current time point is recorded as the temperature increase rejection duration segment; if the real-time temperature value at the current time point is less than the real-time temperature value at the previous time point, the duration from the previous time point to the current time point is recorded as the temperature decrease rejection duration segment.

[0036] Furthermore, the analysis process of the temperature analysis module further includes:

[0037] Statistically calculate the durations of the temperature decrease rejection duration segment and the temperature increase rejection duration segment respectively;

[0038] If the duration of the temperature decrease rejection duration segment exceeds the preset abnormal duration, generate a temperature decrease abnormal signal; if the duration of the temperature decrease rejection duration segment does not exceed the preset abnormal duration, accumulate the duration of the temperature decrease rejection duration segment; if the total accumulated duration of the temperature decrease rejection duration segment exceeds the preset abnormal duration, also generate a temperature decrease abnormal signal, otherwise do not perform any operation;

[0039] If the duration of the temperature increase rejection duration segment exceeds the preset abnormal duration, generate a temperature increase abnormal signal; if the duration of the temperature increase rejection duration segment does not exceed the preset abnormal duration, accumulate the duration of the temperature increase rejection duration segment; if the total accumulated duration of the temperature increase rejection duration segment exceeds the preset abnormal duration, also generate a temperature increase abnormal signal, otherwise do not perform any operation.

[0040] Furthermore, neither the current time point nor the previous time point is the start time point when the temperature in the long bar hot shearing furnace reaches the processing temperature value.

[0041] Furthermore, the control process of the intelligent control module is as follows;

[0042] If a temperature increase abnormal signal is received, perform temperature increase according to the temperature increase value between the real-time temperature value and the processing temperature value;

[0043] If a temperature decrease abnormal signal is received, perform temperature decrease according to the temperature decrease value between the real-time temperature value and the processing temperature value.

[0044] In summary, due to the adoption of the above technical solutions, the beneficial effects of the present invention are as follows:

[0045] The present invention uses the user terminal to input the workpiece number of the workpiece to be processed, analyzes the product situation of the workpiece to be processed in the long bar hot shear furnace according to the workpiece number, and obtains the processing temperature of the workpiece to be processed or generates a matching abnormal signal. If a matching abnormal signal is generated by the analysis, the processing temperature of the workpiece to be processed will be input and set. If the processing temperature of the workpiece to be processed is obtained by the analysis, then according to the processing temperature, the processing work of the workpiece to be processed will be carried out. Before processing, the sealing data of the long bar hot shear furnace corresponding to the workpiece to be processed and the qualified test data of the stored long bar hot shear furnace are collected, and the sealing condition of the long bar hot shear furnace corresponding to the workpiece to be processed is tested. A test normal signal or a test abnormal signal is generated by the test. After the test is completed, when the long bar hot shear furnace processes the workpiece to be processed according to the processing temperature, the real-time temperature value during the processing of the workpiece to be processed by the long bar hot shear furnace is collected in real time, the temperature situation during the processing of the workpiece to be processed by the long bar hot shear furnace is analyzed, and a temperature increase abnormal signal or a temperature decrease abnormal signal is generated. According to the temperature increase abnormal signal or the temperature decrease abnormal signal, the processing temperature of the long bar hot shear furnace corresponding to the workpiece to be processed is controlled. The present invention realizes the intelligent control of the working temperature of the long bar hot shear furnace based on product characteristics. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] For the convenience of those skilled in the art to understand, the present invention will be further described below with reference to the accompanying drawings.

[0047] Figure 1 is the overall system block diagram of the present invention;

[0048] Figure 2 is the method flow chart of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0049] The technical solutions of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of the present invention.

[0050] Embodiment 1

[0051] Please refer to Figure 1 As shown, the technical solution provided by the present invention is: a temperature automatic control and adjustment system applicable to a long bar hot shear furnace. This system is used for products such as aluminum bars. Subsequently, the products to be processed by the long bar hot shear furnace are named workpieces to be processed, and it includes a data acquisition module, a temperature analysis module, an intelligent control module, a user terminal, a storage module, a product analysis module, an intelligent test module, an execution component, and a server;

[0052] The user terminal is used to input the workpiece number of the workpiece to be processed and send the workpiece number to the server, and the server sends the workpiece number to the product analysis module;

[0053] The storage module is used to store the processing temperature values of the workpieces corresponding to different product numbers. In this embodiment, the storage module is connected to the product analysis module for data connection;

[0054] The product analysis module is used to analyze the product situation of the workpiece to be processed in the long bar hot shearing furnace. The specific analysis process is as follows:

[0055] Obtain the workpiece number of the workpiece to be processed input by the user terminal;

[0056] Then obtain the different product numbers stored in the storage module;

[0057] Use Chinese word segmentation technology to compare the workpiece number with each product number one by one;

[0058] If the workpiece number matches any product number, the processing temperature corresponding to the product number is calibrated as the processing temperature of the workpiece to be processed;

[0059] If the workpiece number does not match all product numbers, a matching exception signal is generated;

[0060] The product analysis module feeds back the processing temperature of the workpiece to be processed or the generated matching exception signal to the server. If the server receives the matching exception signal, it sends the matching exception signal to the user terminal. The user terminal is used to set the processing temperature of the workpiece to be processed after receiving the matching exception signal. If the server receives the processing temperature of the workpiece to be processed, it sends the processing temperature of the workpiece to be processed to the execution component. The execution component is used to perform the processing work of the workpiece to be processed according to the processing temperature;

[0061] Actually, the execution component is the control equipment equipped on the long bar hot shearing furnace, which can realize the control of the temperature value and working duration during the operation of the long bar hot shearing furnace.

[0062] In this embodiment, the data acquisition module is used to collect the sealing data of the long bar hot shearing furnace corresponding to the workpiece to be processed and send the sealing data to the server, and the server sends the sealing data to the intelligent test module;

[0063] It should be specifically noted that the sealing data is the number of tests of the long bar hot shearing furnace, the test duration and the test furnace pressure value at each test. Actually, the test furnace pressure value can be gradually increased until the test furnace pressure value reaches the pressure upper limit value of the long bar hot shearing furnace. At the same time, multiple time points are set during each test duration, and the test furnace pressure value is collected at the time points. The test duration starts timing when the long bar hot shearing furnace reaches the corresponding test furnace pressure value and ends this test until the test duration is reached;

[0064] The storage module is also used to store the qualified test data of the module long bar hot shear furnace. The qualified test module is connected to the intelligent test module for data. Among them, the qualified test data is the voltage stabilization duration corresponding to different furnace pressure value ranges of the long bar hot shear furnace, and the preset qualification rate of the long bar hot shear furnace;

[0065] The intelligent test module is used to test the sealing condition of the long bar hot shear furnace corresponding to the workpiece to be processed. The specific test process is as follows:

[0066] Set the test furnace pressure value of the long bar hot shear furnace, and then obtain the test furnace pressure values of the long bar hot shear furnace corresponding to the workpiece to be processed at different time points;

[0067] If the test furnace pressure values corresponding to all time points are equal, the voltage stabilization duration corresponding to the long bar hot shear furnace is obtained according to the furnace pressure value range to which the test furnace pressure value belongs;

[0068] If the test duration corresponding to the test furnace pressure value is greater than or equal to the voltage stabilization duration, the result of this test is recorded as a qualified test. If the test duration corresponding to the test furnace pressure value is less than the voltage stabilization duration, the result of this test is recorded as an unqualified test;

[0069] If there are unequal test furnace pressure values corresponding to different time points, record this time point as an abnormal time point, and eliminate the duration from the previous time point to the abnormal time point and the duration from the abnormal time point to the next time point to obtain the test duration of the long bar hot shear furnace after elimination. If the test duration of the long bar hot shear furnace after elimination is greater than or equal to the voltage stabilization duration, the result of this test is recorded as a qualified test. If the test duration of the long bar hot shear furnace after elimination is less than the voltage stabilization duration, the result of this test is recorded as an unqualified test;

[0070] Gradually increase the set test furnace pressure value of the long bar hot shear furnace, and perform tests according to the above steps, and record the test results each time;

[0071] Count the number of qualified tests of the long bar hot shear furnace and record it as the number of qualified tests. The ratio of the number of qualified tests to the number of tests gives the test qualification rate of the long bar hot shear furnace;

[0072] If the test qualification rate is greater than or equal to the preset qualification rate, generate a test normal signal. If the test qualification rate is less than the preset qualification rate, generate a test abnormal signal;

[0073] The intelligent test module feeds back the test normal signal or the test abnormal signal to the server. If the server receives the test normal signal, it does not perform any operation. If the server receives the test abnormal signal, it sends it to the user terminal. The user terminal is used to view the long bar hot shear furnace after receiving the test abnormal signal.

[0074] After the test is completed, when the long bar hot shearing furnace processes the workpiece to be processed, the data acquisition module is further configured to collect in real time the real-time temperature value when the long bar hot shearing furnace processes the workpiece to be processed, and send the real-time temperature value to the server, and the server sends the real-time temperature value to the temperature analysis module;

[0075] The temperature analysis module is used to analyze the temperature situation when the long bar hot shearing furnace processes the workpiece to be processed. The specific analysis process is as follows:

[0076] Obtain the real-time temperature value when the long bar hot shearing furnace processes the workpiece to be processed, and compare the real-time temperature value with the processing temperature value;

[0077] A. If the real-time temperature value at the current time point is equal to the processing temperature value, obtain the real-time temperature value at the previous time point; when the real-time temperature value at the current time point is equal to the real-time temperature value at the previous time point, the duration from the previous time point to the current time point is not recorded. When the real-time temperature value at the current time point is greater than the real-time temperature value at the previous time point, the duration from the previous time point to the current time point is recorded as the warming-up exclusion duration segment. When the real-time temperature value at the current time point is less than the real-time temperature value at the previous time point, the duration from the previous time point to the current time point is recorded as the cooling-down exclusion duration segment;

[0078] Among them, neither the current time point nor the previous time point is the start time point when the temperature value in the long bar hot shearing furnace reaches the processing temperature value;

[0079] B. If the real-time temperature value at the current time point is not equal to the processing temperature value, obtain the real-time temperature value at the previous time point; among them, neither the current time point nor the previous time point is the start time point when the temperature value in the long bar hot shearing furnace reaches the processing temperature value;

[0080] B1. When the real-time temperature at the previous time point is equal to the processing temperature value: when the real-time temperature value at the current time point is greater than the processing temperature value, the duration from the previous time point to the current time point is recorded as the warming-up exclusion duration segment. When the real-time temperature value at the current time point is less than the processing temperature value, the duration from the previous time point to the current time point is recorded as the cooling-down exclusion duration segment;

[0081] B2. When the real-time temperature at the previous time point is not equal to the processing temperature value: when the real-time temperature value at the current time point is greater than the real-time temperature value at the previous time point, the duration from the previous time point to the current time point is recorded as the warming-up exclusion duration segment. When the real-time temperature value at the current time point is less than the real-time temperature value at the previous time point, the duration from the previous time point to the current time point is recorded as the cooling-down exclusion duration segment;

[0082] Respectively count the durations of the cooling-down exclusion duration segment and the warming-up exclusion duration segment;

[0083] If the duration of the cooling rejection time period exceeds the preset abnormal duration, a cooling anomaly signal is generated. If the duration of the cooling rejection time period does not exceed the preset abnormal duration, the duration of the cooling rejection time period is accumulated. If the total duration after accumulation of the cooling rejection time periods exceeds the preset abnormal duration, a cooling anomaly signal is also generated. Otherwise, no operation is performed;

[0084] If the duration of the heating rejection time period exceeds the preset abnormal duration, a heating anomaly signal is generated. If the duration of the heating rejection time period does not exceed the preset abnormal duration, the duration of the heating rejection time period is accumulated. If the total duration after accumulation of the heating rejection time periods exceeds the preset abnormal duration, a heating anomaly signal is also generated. Otherwise, no operation is performed;

[0085] The intelligent analysis module feeds back the heating anomaly signal or the cooling anomaly signal to the server, and the server sends the heating anomaly signal or the cooling anomaly signal to the intelligent control module; the intelligent control module is used to control the processing temperature of the long bar hot shear furnace for the workpiece to be processed according to the heating anomaly signal or the cooling anomaly signal;

[0086] Actually, after receiving the heating anomaly signal, heating is performed according to the temperature increase value between the real-time temperature value and the processing temperature value. After receiving the cooling anomaly signal, cooling is performed according to the temperature decrease value between the real-time temperature value and the processing temperature value;

[0087] In this application, if there are corresponding calculation formulas, the above calculation formulas are all dimensionless and take their numerical values for calculation. Coefficients such as weight coefficients and proportionality coefficients in the formulas are set in such a way that the size is a result value obtained by quantifying each parameter. Regarding the size of the weight coefficient and the proportionality coefficient, as long as the proportional relationship between the parameter and the result value is not affected.

[0088] Embodiment 2

[0089] Based on another concept of the same invention, please refer to Figure 2 As shown, a temperature automatic control and adjustment method applicable to a long bar hot shear furnace is proposed, including the following steps:

[0090] Step S101, input the workpiece number of the workpiece to be processed, analyze the product situation of the workpiece to be processed in the long bar hot shear furnace according to the workpiece number, and obtain the processing temperature of the workpiece to be processed or generate a matching anomaly signal;

[0091] Step S102, if a matching anomaly signal is generated by the analysis, the processing temperature of the workpiece to be processed is set by input. If the processing temperature of the workpiece to be processed is obtained by the analysis, the processing work of the workpiece to be processed is carried out according to the processing temperature;

[0092] Step S103: Collect the sealing data of the long bar hot shear furnace corresponding to the workpiece to be processed and the qualified test data of the stored long bar hot shear furnace, test the sealing condition of the long bar hot shear furnace corresponding to the workpiece to be processed, and generate a test normal signal or a test abnormal signal.

[0093] Step S104: When the test is completed and the long bar hot shear furnace processes the workpiece to be processed according to the processing temperature, collect the real-time temperature value of the long bar hot shear furnace when processing the workpiece to be processed in real time;

[0094] Step S105: Analyze the temperature condition of the long bar hot shear furnace when processing the workpiece to be processed, generate a temperature increase abnormal signal or a temperature decrease abnormal signal, and control the processing temperature of the long bar hot shear furnace corresponding to the workpiece to be processed according to the temperature increase abnormal signal or the temperature decrease abnormal signal.

[0095] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the present invention to only the specific embodiments. Obviously, many modifications and changes can be made according to the content of this specification. These embodiments are selected and specifically described in this specification in order to better explain the principle and practical application of the present invention, so that those skilled in the relevant technical field can understand and utilize the present invention well. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. A temperature automatic control and regulation system suitable for a long rod hot shear furnace, characterized in that: It includes a data acquisition module, a temperature analysis module, an intelligent control module, a user terminal, a storage module, a product analysis module, an intelligent test module, an execution component and a server. The user terminal is used to input the workpiece number of the workpiece to be processed, and the workpiece number is sent to the product analysis module via the server; the storage module is used to store the processing temperature values ​​of the workpieces corresponding to different product numbers; The product analysis module is used to analyze the product conditions of the workpiece to be processed in the long rod hot shear furnace, and the processing temperature of the workpiece to be processed or the generated matching abnormality signal is fed back to the server. If the matching abnormality signal is generated, it is sent to the user terminal. The user terminal is used to input and set the processing temperature of the workpiece to be processed. If the processing temperature of the workpiece to be processed is obtained by analysis, it is sent to the execution component. The execution component is used to process the workpiece to be processed according to the processing temperature; The data acquisition module is used to collect the sealing data of the long rod hot shear furnace corresponding to the workpiece to be processed, and the sealing data is sent to the intelligent test module via the server; the storage module is also used to store the test qualified data of the long rod hot shear furnace; the intelligent test module is used to test the sealing condition of the long rod hot shear furnace corresponding to the workpiece to be processed, and the test generates a normal test signal or an abnormal test signal and feeds it back to the server. If a normal test signal is generated, no operation is performed. If a test abnormal signal is generated, it is sent to the user terminal, and the user terminal is used to view the long rod hot shear furnace; After the test is completed, the data acquisition module is also used to collect the real-time temperature value of the workpiece to be processed in the long rod hot shear furnace, and the real-time temperature value is sent to the temperature analysis module via the server; the temperature analysis module is used to analyze the temperature condition of the workpiece to be processed in the long rod hot shear furnace, and the analysis generates a temperature increase abnormal signal or a temperature drop abnormal signal and feeds it back to the server, and the server sends the temperature increase abnormal signal or the temperature drop abnormal signal to the intelligent control module; the intelligent control module is used to control the processing temperature of the workpiece to be processed corresponding to the long rod hot shear furnace according to the temperature increase abnormal signal or the temperature drop abnormal signal; The analysis process of the temperature analysis module is as follows: Obtain the real-time temperature value of the workpiece being processed in the long-bar hot shear furnace, and compare the real-time temperature value with the processing temperature value; If the real-time temperature value at the current time point is equal to the processing temperature value, then the real-time temperature value at the previous time point is obtained; When the real-time temperature value at the current time point is equal to the real-time temperature value at the previous time point, the duration from the previous time point to the current time point is not recorded; when the real-time temperature value at the current time point is greater than the real-time temperature value at the previous time point, the duration from the previous time point to the current time point is recorded as the warming exclusion duration segment; when the real-time temperature value at the current time point is less than the real-time temperature value at the previous time point, the duration from the previous time point to the current time point is recorded as the cooling exclusion duration segment; If the real-time temperature value at the current time point is not equal to the processing temperature value, then obtain the real-time temperature value at the previous time point; When the real-time temperature at the previous time point is equal to the processing temperature value: when the real-time temperature value at the current time point is greater than the processing temperature value, the time from the previous time point to the current time point is recorded as the temperature increase removal time segment; when the real-time temperature value at the current time point is less than the processing temperature value, the time from the previous time point to the current time point is recorded as the temperature decrease removal time segment; The real-time temperature at the previous time point is not equal to the processing temperature value: when the real-time temperature value at the current time point is greater than the real-time temperature value at the previous time point, the time from the previous time point to the current time point is recorded as the temperature increase rejection time segment; when the real-time temperature value at the current time point is less than the real-time temperature value at the previous time point, the time from the previous time point to the current time point is recorded as the temperature decrease rejection time segment; The duration of the cooling elimination time segment and the heating elimination time segment are counted separately; If the duration of the cooling removal time segment exceeds the preset abnormal duration, a cooling abnormal signal is generated. If the duration of the cooling removal time segment does not exceed the preset abnormal duration, the duration of the cooling removal time segment is accumulated. If the total duration of the cooling removal time segment after accumulation exceeds the preset abnormal duration, a cooling abnormal signal is also generated. Otherwise, no operation is performed. If the duration of the temperature increase exclusion time segment exceeds the preset abnormal time segment, a temperature increase abnormal signal is generated; if the duration of the temperature increase exclusion time segment does not exceed the preset abnormal time segment, the duration of the temperature increase exclusion time segment is accumulated; if the total accumulated duration of the temperature increase exclusion time segment exceeds the preset abnormal time segment, a temperature increase abnormal signal is also generated; otherwise, no operation is performed.

2. The temperature automatic control and regulation system suitable for a long rod hot shear furnace according to claim 1, characterized in that: The analysis process of the product analysis module is as follows: Obtaining the workpiece number of the workpiece to be processed input by the user terminal; Then obtain different product numbers stored in the storage module; Use Chinese word segmentation technology to compare the workpiece number with the product number one by one; If the workpiece number matches any product number, the processing temperature corresponding to the product number is calibrated as the processing temperature of the workpiece to be processed; If the workpiece number does not match any of the product numbers, a match exception signal is generated.

3. The temperature automatic control and regulation system suitable for a long rod hot shear furnace according to claim 1, characterized in that: The sealing data are the number of tests in the long-bar hot shear furnace, the test duration for each test, and the test furnace pressure value; The test qualified data includes the pressure stabilization time of the long rod hot shear furnace corresponding to different furnace pressure value ranges, as well as the preset qualified rate of the long rod hot shear furnace.

4. The temperature automatic control and regulation system for a long rod hot shear furnace according to claim 3 is characterized in that: The testing process of the intelligent testing module is as follows: Set the test furnace pressure value of the long-bar hot shear furnace, and then obtain the test furnace pressure value of the long-bar hot shear furnace corresponding to the workpiece to be processed at different time points; If the test furnace pressure values ​​corresponding to all time points are equal, the corresponding pressure stabilization time of the long rod hot shear furnace is obtained according to the furnace pressure value interval to which the test furnace pressure value belongs; If the test time corresponding to the test furnace pressure value is greater than or equal to the voltage stabilization time, the test result is recorded as a qualified test. If the test time corresponding to the test furnace pressure value is less than the voltage stabilization time, the test result is recorded as an unqualified test.

5. The temperature automatic control and regulation system suitable for a long rod hot shear furnace according to claim 4, characterized in that: The testing process of the intelligent testing module also includes: If the corresponding test furnace pressure values ​​at different time points are not equal, then the time point is recorded as an abnormal time point, and the time from the previous time point to the abnormal time point and the time from the abnormal time point to the next time point are eliminated to obtain the test time of the long rod hot shear furnace after elimination. If the test time of the long rod hot shear furnace after elimination is greater than or equal to the voltage stabilization time, then the test result is recorded as a qualified test. If the test time of the long rod hot shear furnace after elimination is less than the voltage stabilization time, then the test result is recorded as an unqualified test. Gradually increase the test furnace pressure value of the long rod hot shear furnace, and perform the test according to the above steps, and record the test results of each test; The number of qualified tests of the long-bar hot shear furnace is counted and recorded as the qualified test number, and the qualified test number is compared with the test number to obtain the test qualified rate of the long-bar hot shear furnace; If the test pass rate is greater than or equal to the preset pass rate, a test normal signal is generated; if the test pass rate is less than the preset pass rate, a test abnormal signal is generated.

6. The temperature automatic control and regulation system for a long rod hot shear furnace according to claim 1 is characterized in that: Neither the current time point nor the previous time point is the starting time point when the temperature value in the long rod hot shear furnace reaches the processing temperature value.

7. The temperature automatic control and regulation system for a long rod hot shear furnace according to claim 1 is characterized in that: The control process of the intelligent control module is: If a temperature increase abnormal signal is received, the temperature is increased according to the temperature increase value between the real-time temperature value and the processing temperature value; If a temperature drop abnormal signal is received, the temperature is dropped according to the temperature drop value between the real-time temperature value and the processing temperature value.

Images