Safety monitoring control system and method for hot blast stove

Abstract

The invention discloses a safety monitoring control system for a hot blast stove. The safety monitoring control system comprises a temperature measurement deviation calibration module, a display early warning module and an early warning management and control module, the temperature measurement deviation calibration module is used for carrying out a plurality of temperature detection accuracy tests on the temperature measurement module before the hot blast stove starts to operate, generating a calibration result signal and sending the calibration result signal to the display early warning module; the display early warning module receives the calibration result and sends out corresponding early warning; and the early warning management and control module is used for carrying out operation early warning analysis on the display early warning module and carrying out adaptive regulation and control on the display early warning module based on an analysis result. According to the scheme, the temperature condition is evaluated and judged through the temperature control supervision module, an early warning signal is generated, meanwhile, the condition in the hot blast stove is comprehensively analyzed, and the reliability and accuracy of temperature monitoring are improved.

Description

Technical Field

[0001] The present invention relates to the field of hot blast furnace monitoring and management in the field of industrial production, and in particular to a reliable and stable hot blast furnace safety monitoring and control method and system. Background Art

[0002] A hot blast furnace is a heat-power exchange system that is widely used in various industrial fields, such as steel, nonferrous metals, and chemicals. It generates high-temperature flue gas by burning blast furnace gas, transfers heat energy to the air, and then transports the hot air to the equipment or process that needs to be heated through a fan. It can be used as a direct heating device or as a heat source for indirect heating equipment. It has the characteristics of high efficiency and stability, and can meet various industrial heating needs.

[0003] During the operation of the hot blast furnace, its internal temperature needs to be monitored. Currently, the real-time internal temperature is compared with the set temperature range to determine whether the temperature is abnormal. When the temperature is greater than the set temperature range, it is determined to be abnormal. Otherwise, it is determined that there is no temperature abnormality. When the temperature is abnormal, an alarm is issued. When the temperature is normal, no alarm is issued and the temperature continues to be monitored.

[0004] The temperature monitoring solution of the existing technology has the advantages of being simple and convenient, but the basis of its temperature monitoring is that the detected temperature is assumed to be accurate and reliable. However, due to the harshness of the industrial scene environment, in many cases the monitored temperature data may be inaccurate, and the existing technology cannot achieve a comprehensive and comprehensive evaluation of the temperature conditions inside the hot blast furnace. The temperature evaluation results are not accurate enough, and it is difficult to accurately feedback the detection deviation of the temperature detection instrument and to adaptively adjust the warning conditions, which is not conducive to reducing safety hazards during the operation of the hot blast furnace. Summary of the invention

[0005] The purpose of the present invention is to overcome the shortcomings of the prior art and provide a hot blast stove safety monitoring and control method and system, which evaluates and judges the temperature condition through a temperature control supervision module, generates an early warning signal, and comprehensively analyzes the condition inside the hot blast stove to improve the reliability and accuracy of temperature monitoring.

[0006] In order to achieve the above-mentioned purpose, the technical solution adopted by the present invention is: a hot blast furnace safety monitoring and control system, including a temperature measurement deviation calibration module, a display warning module and a warning management and control module; the temperature measurement deviation calibration module is used to perform several temperature detection accuracy tests on the temperature measurement module before the hot blast furnace starts to operate and generate a calibration result signal to be sent to the display warning module; the display warning module receives the calibration result and issues a corresponding warning; the warning management and control module is used to perform operation warning analysis on the display warning module, and adaptively adjust the display warning module based on the analysis result.

[0007] The control system also includes a server, a temperature control and supervision module, and a temperature measurement module; the temperature measurement module detects the internal temperature of the hot blast furnace, and sends the collected internal temperature data of the hot blast furnace to the temperature control and supervision module via the server; the temperature control and supervision module analyzes the temperature condition inside the hot blast furnace, and generates a normal temperature signal or an abnormal temperature signal accordingly, and sends the abnormal temperature signal to the display and warning module via the server, and the display and warning module displays the abnormal temperature signal when receiving it and issues a corresponding warning.

[0008] A control method for a hot blast furnace safety monitoring and control system, the method comprising: before the hot blast furnace starts to operate, performing several temperature detection accuracy tests on an infrared temperature measurement module through a temperature measurement deviation calibration module, obtaining each test result, performing temperature measurement deviation analysis based on each test result, thereby generating a temperature calibration qualified signal or a temperature calibration unqualified signal, and sending the temperature calibration unqualified signal to a display warning module via a server, and when the display warning module receives the temperature calibration unqualified signal, it displays it and issues a corresponding warning; the warning control module is used to perform operation warning analysis on the display warning module, and adaptively regulate the display warning module based on the analysis result.

[0009] After the hot air furnace starts running, the infrared temperature measurement module detects the internal temperature of the hot air furnace, and sends the collected internal temperature data of the hot air furnace to the temperature control and supervision module via the server; the temperature control and supervision module analyzes the temperature conditions inside the hot air furnace, and generates a normal temperature signal or an abnormal temperature signal accordingly, and sends the abnormal temperature signal to the display and warning module via the server. When the display and warning module receives the abnormal temperature signal, it displays it and issues a corresponding warning.

[0010] Furthermore, the specific operation process of the temperature control module includes:

[0011] The internal temperature data of the hot blast furnace is obtained and marked as the furnace temperature detection value. If the furnace temperature detection value is within the preset furnace temperature detection value range, it is judged that the internal temperature of the hot blast furnace at the corresponding moment is in a suitable state; if the furnace temperature detection value is not within the preset furnace temperature detection value range, it is judged that the internal temperature of the hot blast furnace at the corresponding moment is in an abnormal state; the total duration of the hot blast furnace in the abnormal state during the detection period is obtained, and it is marked as the abnormal temperature duration; the abnormal temperature duration is numerically compared with the preset abnormal temperature duration threshold. If the abnormal temperature duration exceeds the preset abnormal temperature duration threshold, a temperature abnormality signal is generated.

[0012] Furthermore, if the abnormal temperature duration does not exceed the preset abnormal temperature duration threshold, when it is determined that the internal temperature of the hot blast furnace at the corresponding moment is in an abnormal state, the deviation value of the furnace temperature detection value at the corresponding moment compared with the preset furnace temperature detection value range is marked as the furnace temperature deviation amplitude, and all the furnace temperature deviation amplitudes in the hot blast furnace during the detection period are summed and calculated and averaged to obtain the furnace temperature deviation table value, and the furnace temperature deviation amplitude with the largest value in the hot blast furnace during the detection period is marked as the furnace temperature danger table value;

[0013] The furnace temperature deviation value, furnace temperature critical value and abnormal temperature duration during the detection period are numerically calculated to obtain the furnace temperature abnormal value, and the furnace temperature abnormal value is numerically compared with the preset furnace temperature abnormal threshold. If the furnace temperature abnormal value exceeds the preset furnace temperature abnormal threshold, a temperature abnormality signal is generated.

[0014] Furthermore, if the furnace temperature anomaly value does not exceed the preset furnace temperature anomaly threshold, several evaluation time points are set within the detection period, and the furnace temperature detection values ​​of two adjacent groups of evaluation time points are difference calculated and the absolute value is taken to obtain the furnace temperature fluctuation value; all furnace temperature fluctuation values ​​within the detection period are mean calculated and variance calculated to obtain the temperature wave average value and the temperature wave difference value, and the temperature wave average value and the temperature wave difference value are numerically compared with the preset temperature wave average value threshold and the preset temperature wave difference value threshold respectively;

[0015] If the temperature wave average value exceeds the preset temperature wave average value threshold and the temperature wave difference value does not exceed the preset temperature wave difference value threshold, a temperature abnormality signal is generated; if the temperature wave average value does not exceed the preset temperature wave average value threshold and the temperature wave difference value does not exceed the preset temperature wave difference value threshold, a temperature normal signal is generated;

[0016] In other cases, the furnace temperature fluctuation value is numerically compared with the preset furnace temperature fluctuation threshold. If the furnace temperature fluctuation value exceeds the preset furnace temperature fluctuation threshold, the corresponding furnace temperature fluctuation value will be marked as a temperature wave hazard value; the ratio of the number of temperature wave hazard values ​​to the number of furnace temperature fluctuation values ​​is calculated to obtain the temperature hazard detection value, and the difference between the furnace temperature fluctuation value with the largest value and the furnace temperature fluctuation value with the smallest value is calculated to obtain the furnace temperature wave amplitude; the temperature hazard detection value, the furnace temperature wave amplitude and the temperature wave average value are numerically calculated to obtain the temperature wave evaluation value, and the temperature wave evaluation value is numerically compared with the preset temperature wave evaluation threshold. If the temperature wave evaluation value exceeds the preset temperature wave evaluation threshold, a temperature abnormality signal is generated; if the temperature wave evaluation value does not exceed the preset temperature wave evaluation threshold, a temperature normal signal is generated.

[0017] Furthermore, the specific analysis process of temperature measurement deviation analysis includes:

[0018] The temperature detected by the infrared temperature measurement module in each test result is marked as the furnace temperature to be calibrated value, and the actual temperature in the hot blast furnace in each test result is marked as the furnace temperature calibration value. The difference between the furnace temperature calibration value of the corresponding test and the furnace temperature to be calibrated value is calculated and the absolute value is taken to obtain the temperature measurement deviation value. The temperature measurement deviation value is numerically compared with the preset temperature measurement deviation threshold. If the temperature measurement deviation value exceeds the preset temperature measurement deviation threshold, the corresponding temperature measurement deviation value is marked as the temperature measurement height difference data;

[0019] The ratio of the number of temperature measurement height difference data and the number of temperature detection accuracy tests is calculated to obtain the temperature measurement height difference table value, and the temperature measurement height difference table value is numerically compared with the preset temperature measurement height difference table threshold. If the temperature measurement height difference table value exceeds the preset temperature measurement height difference table threshold, a temperature calibration failure signal is generated; if the temperature measurement height difference table value does not exceed the preset temperature measurement height difference table threshold, all temperature measurement deviation values ​​are averaged to obtain the temperature measurement calibration table value, and the temperature measurement calibration table value and the temperature measurement height difference table value are numerically calculated to obtain the temperature measurement verification value, and the temperature measurement verification value is numerically compared with the preset temperature measurement verification threshold. If the temperature measurement verification value exceeds the preset temperature measurement verification threshold, a temperature calibration failure signal is generated; if the temperature measurement verification value does not exceed the preset temperature measurement verification threshold, a temperature calibration qualified signal is generated.

[0020] Furthermore, the specific analysis process of running early warning analysis includes:

[0021] Before the display warning module displays a warning, a circle with a radius of R1 is drawn with the display warning module as the center point, and the circular area is marked as the warning response area. The distribution of people in the warning response area is collected through the monitoring camera. If there is no person in the warning response area, the display warning module will issue a warning at its maximum volume, and generate a corresponding warning text message and send it to the manager's smart terminal;

[0022] If there are people in the early warning response area, the personnel pre-effectiveness value is obtained through analysis, and several groups of preset personnel pre-effectiveness value ranges are set in advance, and each group of preset personnel pre-effectiveness value ranges corresponds to a group of warning volume values. The personnel pre-effectiveness value is compared with all preset personnel pre-effectiveness value ranges one by one, and the preset personnel pre-effectiveness value range containing the personnel pre-effectiveness value is marked as the target range, and the warning volume value corresponding to the target range is marked as the target volume value, and the display warning module issues a warning according to the target volume value.

[0023] Furthermore, the analysis and acquisition method of personnel pre-effectiveness value is as follows:

[0024] Obtain all personnel in the early warning response area, mark the corresponding personnel as target object i, where i is a natural number greater than or equal to 1; collect the position of target object i and mark it as the warning point, mark the position of the display warning module as the warning point, calculate the distance between the warning point and the warning point of target object i to obtain the warning distance value; sum and calculate all the warning distance values ​​and take the average to obtain the warning distance detection value, and mark the smallest warning distance value as the warning distance micro-amplitude value;

[0025] Several noise measurement points are set in the early warning response area, and the noise decibel values ​​of all noise measurement points are collected. The noise decibel values ​​of all noise measurement points are summed and averaged to obtain the noise detection value; the warning distance detection value, warning distance micro-amplitude value and noise detection value are numerically calculated to obtain the personnel early warning value.

[0026] Furthermore, the server is communicatively connected with the temperature measurement and diagnosis module, and the server sends a temperature calibration failure signal to the temperature measurement and diagnosis module. When the temperature measurement and diagnosis module receives the temperature calibration failure signal, it performs a life diagnosis analysis on the infrared temperature measurement module to determine whether to generate an elimination warning signal. When the elimination warning signal is generated, it is sent to the display warning module via the server.

[0027] Furthermore, the specific analysis process of life diagnosis analysis is as follows:

[0028] The temperature and pressure of the environment in which the infrared temperature measurement module is located are collected and marked as temperature shadow values ​​and pressure shadow values, and the temperature shadow values ​​and pressure shadow values ​​are numerically compared with the preset temperature shadow threshold and the preset pressure shadow threshold, respectively. If the temperature shadow value or the pressure shadow value exceeds the corresponding preset threshold, it is judged that the infrared temperature measurement module is in a high-hazard environment at the corresponding moment; the total usage time of the infrared temperature measurement module is obtained, and the time during which the infrared temperature measurement module is in a high-hazard environment within the total usage time is obtained and marked as the total high-risk time;

[0029] The maintenance frequency of the infrared temperature measurement module within the total use time is collected, and the sum of each single maintenance time is calculated to obtain the total maintenance time. The total use time, the total high-risk time, the maintenance frequency and the total maintenance time are numerically calculated to obtain the life diagnosis value; the life diagnosis value is numerically compared with the preset life diagnosis threshold. If the life diagnosis value exceeds the preset life diagnosis threshold, an elimination warning signal is generated; if the life diagnosis value does not exceed the preset life diagnosis threshold, no elimination warning signal is generated.

[0030] The advantages of the present invention are: 1. The temperature evaluation result is more accurate. Various parameters of the hot blast furnace are collected by various sensors during operation, and the collected data are compared with the set values. When the collected data does not fall within the set range, an alarm is sounded through the alarm module, thereby achieving real-time monitoring of the hot blast furnace and improving the safety of equipment operation;

[0031] 2. It can accurately feedback the detection deviation of the infrared temperature measurement module and determine whether it needs to be eliminated and replaced, and send the abnormal temperature signal to the display warning module through the server. When the display warning module receives the abnormal temperature signal, it will display it and issue a corresponding warning;

[0032] 3. The whole system is conducive to reducing the potential safety hazards during the operation of the hot air furnace. It not only achieves the function of thermal imaging on the surface of the equipment, allowing operators to remotely monitor the working status of the equipment, but also can perform real-time temperature measurement and display the test data in real time to reflect the changes in the surface temperature of the equipment;

[0033] 4. The entire system can adaptively regulate the warning status with a high degree of intelligence, thus ensuring that the corresponding management personnel can view the warning information in time;

[0034] 5. Accurate temperature measurement deviation analysis; BRIEF DESCRIPTION OF THE DRAWINGS

[0035] The following is a brief description of the contents expressed in the drawings of the present invention and the symbols in the drawings:

[0036] Figure 1 This is a schematic diagram of the monitoring system in Example 1 of the present invention;

[0037] Figure 2 This is a schematic diagram of the monitoring system in Example 2 of the present invention. DETAILED DESCRIPTION

[0038] The specific implementation of the present invention will be further explained in detail below by describing the optimal embodiment with reference to the accompanying drawings.

[0039] The purpose of the present invention is to provide a hot blast stove safety monitoring system based on infrared temperature measurement technology, which solves the problems that the prior art cannot achieve a comprehensive and comprehensive evaluation of the temperature conditions inside the hot blast stove, the temperature evaluation results are not accurate enough, and it is difficult to accurately feedback the detection deviation of the temperature detection instrument and adaptively adjust the early warning conditions, resulting in great safety hazards in the operation of the hot blast stove.

[0040] A hot blast furnace safety monitoring system based on infrared temperature measurement technology comprises a server, an infrared temperature measurement module, a temperature control and supervision module, a temperature measurement deviation calibration module, a display and early warning module and an early warning control module; the infrared temperature measurement module detects the internal temperature of the hot blast furnace, and sends the collected internal temperature data of the hot blast furnace to the temperature control and supervision module via the server; the temperature control and supervision module analyzes the temperature condition inside the hot blast furnace, and generates a normal temperature signal or an abnormal temperature signal accordingly, and sends the abnormal temperature signal to the display and early warning module via the server, and the display and early warning module displays the abnormal temperature signal when receiving it and issues a corresponding early warning;

[0041] The temperature measurement deviation module is used to conduct several temperature detection accuracy tests on the infrared temperature measurement module before the hot air furnace starts to operate, obtain the results of each test, and perform temperature measurement deviation analysis based on the results of each test, thereby generating a temperature calibration qualified signal or a temperature calibration unqualified signal, and the temperature calibration unqualified signal is sent to the display warning module via the server. When the display warning module receives the temperature calibration unqualified signal, it displays it and issues a corresponding warning; the warning control module is used to perform operation warning analysis on the display warning module, and adaptively regulate the display warning module based on the analysis results. Before the hot air furnace starts to operate, its actual temperature is certain, and the temperature value or value range before its operation can be obtained through empirical calibration or pre-calibration. When the test is started, the temperature obtained by the infrared temperature measurement module is compared with the pre-calibrated temperature before the hot air furnace starts to operate to perform temperature measurement deviation analysis. When the temperature measured by the infrared temperature measurement module and the pre-calibrated temperature deviation are greater than the set threshold, it is judged as unqualified and a temperature calibration unqualified signal is generated. Otherwise, the calibration is qualified and a temperature calibration calibration qualified signal is generated.

[0042] Furthermore, the specific operation process of the temperature control module includes:

[0043] The internal temperature data of the hot blast furnace is obtained and marked as the furnace temperature detection value. If the furnace temperature detection value is within the preset furnace temperature detection value range, it is judged that the internal temperature of the hot blast furnace at the corresponding moment is in a suitable state; if the furnace temperature detection value is not within the preset furnace temperature detection value range, it is judged that the internal temperature of the hot blast furnace at the corresponding moment is in an abnormal state; the total duration of the hot blast furnace in the abnormal state during the detection period is obtained, and it is marked as the abnormal temperature duration; the abnormal temperature duration is numerically compared with the preset abnormal temperature duration threshold. If the abnormal temperature duration exceeds the preset abnormal temperature duration threshold, a temperature abnormality signal is generated.

[0044] Furthermore, if the abnormal temperature duration does not exceed the preset abnormal temperature duration threshold, when it is determined that the internal temperature of the hot blast furnace at the corresponding moment is in an abnormal state, the deviation value of the furnace temperature detection value at the corresponding moment compared with the preset furnace temperature detection value range is marked as the furnace temperature deviation amplitude, and all the furnace temperature deviation amplitudes in the hot blast furnace during the detection period are summed and calculated and averaged to obtain the furnace temperature deviation table value, and the furnace temperature deviation amplitude with the largest value in the hot blast furnace during the detection period is marked as the furnace temperature danger table value;

[0045] The furnace temperature deviation value, furnace temperature critical value and abnormal temperature duration during the detection period are numerically calculated to obtain the furnace temperature abnormal value, and the furnace temperature abnormal value is numerically compared with the preset furnace temperature abnormal threshold. If the furnace temperature abnormal value exceeds the preset furnace temperature abnormal threshold, a temperature abnormality signal is generated.

[0046] Furthermore, if the furnace temperature anomaly value does not exceed the preset furnace temperature anomaly threshold, several evaluation time points are set within the detection period, and the furnace temperature detection values ​​of two adjacent groups of evaluation time points are difference calculated and the absolute value is taken to obtain the furnace temperature fluctuation value; all furnace temperature fluctuation values ​​within the detection period are mean calculated and variance calculated to obtain the temperature wave average value and the temperature wave difference value, and the temperature wave average value and the temperature wave difference value are numerically compared with the preset temperature wave average value threshold and the preset temperature wave difference value threshold respectively;

[0047] If the temperature wave average value exceeds the preset temperature wave average value threshold and the temperature wave difference value does not exceed the preset temperature wave difference value threshold, a temperature abnormality signal is generated; if the temperature wave average value does not exceed the preset temperature wave average value threshold and the temperature wave difference value does not exceed the preset temperature wave difference value threshold, a temperature normal signal is generated;

[0048] In other cases, the furnace temperature fluctuation value is numerically compared with the preset furnace temperature fluctuation threshold. If the furnace temperature fluctuation value exceeds the preset furnace temperature fluctuation threshold, the corresponding furnace temperature fluctuation value will be marked as a temperature wave hazard value; the ratio of the number of temperature wave hazard values ​​to the number of furnace temperature fluctuation values ​​is calculated to obtain the temperature hazard detection value, and the difference between the furnace temperature fluctuation value with the largest value and the furnace temperature fluctuation value with the smallest value is calculated to obtain the furnace temperature wave amplitude; the temperature hazard detection value, the furnace temperature wave amplitude and the temperature wave average value are numerically calculated to obtain the temperature wave evaluation value, and the temperature wave evaluation value is numerically compared with the preset temperature wave evaluation threshold. If the temperature wave evaluation value exceeds the preset temperature wave evaluation threshold, a temperature abnormality signal is generated; if the temperature wave evaluation value does not exceed the preset temperature wave evaluation threshold, a temperature normal signal is generated.

[0049] Furthermore, the specific analysis process of temperature measurement deviation analysis includes:

[0050] The temperature detected by the infrared temperature measurement module in each test result is marked as the furnace temperature to be calibrated value, and the actual temperature in the hot blast furnace in each test result is marked as the furnace temperature calibration value. The difference between the furnace temperature calibration value of the corresponding test and the furnace temperature to be calibrated value is calculated and the absolute value is taken to obtain the temperature measurement deviation value. The temperature measurement deviation value is numerically compared with the preset temperature measurement deviation threshold. If the temperature measurement deviation value exceeds the preset temperature measurement deviation threshold, the corresponding temperature measurement deviation value is marked as the temperature measurement height difference data;

[0051] The ratio of the number of temperature measurement height difference data and the number of temperature detection accuracy tests is calculated to obtain the temperature measurement height difference table value, and the temperature measurement height difference table value is numerically compared with the preset temperature measurement height difference table threshold. If the temperature measurement height difference table value exceeds the preset temperature measurement height difference table threshold, a temperature calibration failure signal is generated; if the temperature measurement height difference table value does not exceed the preset temperature measurement height difference table threshold, all temperature measurement deviation values ​​are averaged to obtain the temperature measurement calibration table value, and the temperature measurement calibration table value and the temperature measurement height difference table value are numerically calculated to obtain the temperature measurement verification value, and the temperature measurement verification value is numerically compared with the preset temperature measurement verification threshold. If the temperature measurement verification value exceeds the preset temperature measurement verification threshold, a temperature calibration failure signal is generated; if the temperature measurement verification value does not exceed the preset temperature measurement verification threshold, a temperature calibration qualified signal is generated.

[0052] Furthermore, the specific analysis process of running early warning analysis includes:

[0053] Before the display warning module displays a warning, a circle with a radius of R1 is drawn with the display warning module as the center point, and the circular area is marked as the warning response area. The distribution of people in the warning response area is collected through the monitoring camera. If there is no person in the warning response area, the display warning module will issue a warning at its maximum volume, and generate a corresponding warning text message and send it to the manager's smart terminal;

[0054] If there are people in the early warning response area, the personnel pre-effectiveness value is obtained through analysis, and several groups of preset personnel pre-effectiveness value ranges are set in advance, and each group of preset personnel pre-effectiveness value ranges corresponds to a group of warning volume values. The personnel pre-effectiveness value is compared with all preset personnel pre-effectiveness value ranges one by one, and the preset personnel pre-effectiveness value range containing the personnel pre-effectiveness value is marked as the target range, and the warning volume value corresponding to the target range is marked as the target volume value, and the display warning module issues a warning according to the target volume value.

[0055] Furthermore, the analysis and acquisition method of personnel pre-effectiveness value is as follows:

[0056] Obtain all personnel in the early warning response area, mark the corresponding personnel as target object i, where i is a natural number greater than or equal to 1; collect the position of target object i and mark it as the warning point, mark the position of the display warning module as the warning point, calculate the distance between the warning point and the warning point of target object i to obtain the warning distance value; sum and calculate all the warning distance values ​​and take the average to obtain the warning distance detection value, and mark the smallest warning distance value as the warning distance micro-amplitude value;

[0057] Several noise measurement points are set in the early warning response area, and the noise decibel values ​​of all noise measurement points are collected. The noise decibel values ​​of all noise measurement points are summed and averaged to obtain the noise detection value; the warning distance detection value, warning distance micro-amplitude value and noise detection value are numerically calculated to obtain the personnel early warning value.

[0058] Furthermore, the server is communicatively connected with the temperature measurement and diagnosis module, and the server sends a temperature calibration failure signal to the temperature measurement and diagnosis module. When the temperature measurement and diagnosis module receives the temperature calibration failure signal, it performs a life diagnosis analysis on the infrared temperature measurement module to determine whether to generate an elimination warning signal. When the elimination warning signal is generated, it is sent to the display warning module via the server.

[0059] Furthermore, the specific analysis process of life diagnosis analysis is as follows:

[0060] The temperature and pressure of the environment in which the infrared temperature measurement module is located are collected and marked as temperature shadow values ​​and pressure shadow values, and the temperature shadow values ​​and pressure shadow values ​​are numerically compared with the preset temperature shadow threshold and the preset pressure shadow threshold, respectively. If the temperature shadow value or the pressure shadow value exceeds the corresponding preset threshold, it is judged that the infrared temperature measurement module is in a high-hazard environment at the corresponding moment; the total usage time of the infrared temperature measurement module is obtained, and the time during which the infrared temperature measurement module is in a high-hazard environment within the total usage time is obtained and marked as the total high-risk time;

[0061] The maintenance frequency of the infrared temperature measurement module within the total use time is collected, and the sum of each single maintenance time is calculated to obtain the total maintenance time. The total use time, the total high-risk time, the maintenance frequency and the total maintenance time are numerically calculated to obtain the life diagnosis value; the life diagnosis value is numerically compared with the preset life diagnosis threshold. If the life diagnosis value exceeds the preset life diagnosis threshold, an elimination warning signal is generated; if the life diagnosis value does not exceed the preset life diagnosis threshold, no elimination warning signal is generated.

[0062] Based on the implementation of the above scheme, this scheme has the following technical effects:

[0063] 1) In the present invention, the internal temperature of the hot blast stove is detected by the infrared temperature measurement module, and the temperature control and supervision module analyzes the temperature condition inside the hot blast stove, thereby generating a normal temperature signal or an abnormal temperature signal, thereby realizing a comprehensive and comprehensive evaluation of the internal temperature condition of the hot blast stove. The temperature evaluation result is more accurate, which helps the management personnel to grasp the abnormal temperature condition of the hot blast stove in detail, and take corresponding improvement measures in time to ensure the safe and stable operation of the hot blast stove; the display and early warning module is used to issue an early warning, and the early warning control module performs an operation early warning analysis on the display and early warning module, and adaptively regulates the display and early warning module based on the analysis result, with a high degree of intelligence, thereby ensuring that the corresponding management personnel can view the early warning information in time, and further ensure the safe and stable operation of the hot blast stove;

[0064] 2) In the present invention, before the hot blast furnace starts to operate, the infrared temperature measurement module is subjected to several temperature detection accuracy tests through the temperature measurement deviation module, and the temperature measurement deviation analysis is performed based on the results of each test, thereby generating a temperature calibration qualified signal or a temperature calibration unqualified signal, so that the management personnel can timely discover the abnormality of the infrared temperature measurement module and quickly repair it, so as to ensure the accuracy of the temperature measurement analysis results during the operation of the hot blast furnace; and when the temperature calibration unqualified signal is generated, the infrared temperature measurement module is subjected to life diagnosis analysis through the temperature measurement diagnosis module, so as to determine whether to generate an elimination warning signal, so as to timely replace the infrared temperature measurement module, ensure the accuracy of the temperature monitoring results during the operation of the hot blast furnace, and reduce the safety hazards existing in the operation of the hot blast furnace. (3) The present invention relates to a blast furnace coal powder injection device in an ironmaking process, which breaks up the coal powder while feeding, prevents the coal powder from agglomerating, and allows the coal powder to be better mixed with air.

[0065] In order to more clearly introduce the present application scheme, the following is a detailed description in conjunction with two drawings:

[0066] Example 1 Figure 1 As shown, a hot blast furnace safety monitoring system based on infrared temperature measurement technology proposed by the present invention includes a server, an infrared temperature measurement module, a temperature control supervision module, a temperature measurement deviation calibration module, a display warning module and a warning control module, and the server is communicatively connected with the infrared temperature measurement module, the temperature control supervision module, the temperature measurement deviation calibration module, the display warning module and the warning control module; the infrared temperature measurement module adopts infrared temperature measurement technology to realize internal temperature monitoring of the hot blast furnace, specifically, by arranging an infrared temperature measurement sensor inside the hot blast furnace to sense the temperature inside the hot blast furnace in real time;

[0067] The infrared temperature measurement module detects the internal temperature of the hot blast furnace, and sends the collected internal temperature data of the hot blast furnace to the temperature control and supervision module via the server; the temperature control and supervision module analyzes the temperature condition inside the hot blast furnace, and generates a normal temperature signal or an abnormal temperature signal accordingly, and sends the abnormal temperature signal to the display and warning module via the server. When the display and warning module receives the abnormal temperature signal, it displays it and issues a corresponding warning, which helps the management personnel to grasp the abnormal temperature condition of the hot blast furnace in detail, so that the management personnel can make corresponding improvement measures in time to ensure the safe and stable operation of the hot blast furnace; the specific operation process of the temperature control and supervision module is as follows:

[0068] The internal temperature data of the hot blast furnace is obtained and marked as the furnace temperature detection value, and the furnace temperature detection value is numerically compared with the preset furnace temperature detection value range. If the furnace temperature detection value is within the preset furnace temperature detection value range, it is judged that the internal temperature of the hot blast furnace at the corresponding moment is in a suitable state; if the furnace temperature detection value is not within the preset furnace temperature detection value range, it is judged that the internal temperature of the hot blast furnace at the corresponding moment is in an abnormal state; the total duration of the hot blast furnace in the abnormal state during the detection period is obtained, and it is marked as the abnormal temperature duration; it should be noted that the larger the value of the abnormal temperature duration during the detection period, the worse the temperature performance in the hot blast furnace; the abnormal temperature duration is numerically compared with the preset abnormal temperature duration threshold, and if the abnormal temperature duration exceeds the preset abnormal temperature duration threshold, a temperature abnormality signal is generated;

[0069] If the abnormal temperature duration does not exceed the preset abnormal temperature duration threshold, when it is judged that the internal temperature of the hot blast furnace at the corresponding moment is in an abnormal state, the deviation value of the furnace temperature detection value at the corresponding moment compared with the preset furnace temperature detection value range is marked as the furnace temperature deviation amplitude, and all the furnace temperature deviation amplitudes in the hot blast furnace during the detection period are summed and calculated and averaged to obtain the furnace temperature deviation table value, and the furnace temperature deviation amplitude with the largest value in the hot blast furnace during the detection period is marked as the furnace temperature danger table value;

[0070] The furnace temperature deviation value LQ, the furnace temperature danger value LY and the abnormal temperature duration LK of the detection period are numerically calculated by the formula LW=a1*LQ+a2*LY+a3*LK to obtain the furnace temperature abnormal value LW, wherein a1, a2 and a3 are preset weight coefficients, and a3>a1>a2>0; and the larger the value of the furnace temperature abnormal value LW, the worse the temperature performance in the hot blast furnace; the furnace temperature abnormal value LW is numerically compared with the preset furnace temperature abnormal threshold value, and if the furnace temperature abnormal value LW exceeds the preset furnace temperature abnormal threshold value, a temperature abnormal signal is generated;

[0071] If the furnace temperature anomaly value LW does not exceed the preset furnace temperature anomaly threshold, several evaluation time points are set within the detection period, and the time intervals between two adjacent groups of evaluation times are the same; the furnace temperature detection values ​​of two adjacent groups of evaluation time points are difference calculated and the absolute value is taken to obtain the furnace temperature fluctuation value, and all furnace temperature fluctuation values ​​within the detection period are mean calculated and variance calculated to obtain the temperature wave average value and the temperature wave difference value. It should be noted that the larger the value of the temperature wave difference value is, the more unstable the temperature in the hot blast furnace is within the detection period; the temperature wave average value and the temperature wave difference value are numerically compared with the preset temperature wave average value threshold and the preset temperature wave difference value threshold respectively;

[0072] If the temperature wave average value exceeds the preset temperature wave average value threshold and the temperature wave difference value does not exceed the preset temperature wave difference value threshold, a temperature abnormality signal is generated; if the temperature wave average value does not exceed the preset temperature wave average value threshold and the temperature wave difference value does not exceed the preset temperature wave difference value threshold, a temperature normal signal is generated; in other cases, the furnace temperature fluctuation value is numerically compared with the preset furnace temperature fluctuation threshold, and if the furnace temperature fluctuation value exceeds the preset furnace temperature fluctuation threshold, the corresponding furnace temperature fluctuation value is marked as a temperature wave hazard value; the ratio of the number of temperature wave hazard values ​​to the number of furnace temperature fluctuation values ​​is calculated to obtain a temperature hazard detection value, and the difference between the furnace temperature fluctuation value with the largest value and the furnace temperature fluctuation value with the smallest value is calculated to obtain the furnace temperature wave amplitude;

[0073] The temperature wave evaluation value WB is obtained by numerically calculating the temperature danger detection value WR, the furnace temperature wave amplitude WT and the temperature wave average value WY through the formula WB=eg1*WR+eg2*WT+eg3*WY, wherein eg1, eg2, eg3 are preset weight coefficients, eg1>eg3>eg2>0; and, the larger the value of the temperature wave evaluation value WB is, the worse the temperature performance in the hot blast furnace during the detection period is; the temperature wave evaluation value WB is numerically compared with the preset temperature wave evaluation threshold, if the temperature wave evaluation value WB exceeds the preset temperature wave evaluation threshold, a temperature abnormality signal is generated, and if the temperature wave evaluation value WB does not exceed the preset temperature wave evaluation threshold, a temperature normal signal is generated.

[0074] Furthermore, before the hot blast furnace starts to operate, the temperature measurement deviation module is used to conduct several temperature detection accuracy tests on the infrared temperature measurement module, obtain the results of each test, and perform temperature measurement deviation analysis based on the results of each test, thereby generating a temperature calibration qualified signal or a temperature calibration unqualified signal, and the temperature calibration unqualified signal is sent to the display warning module via the server. When the display warning module receives the temperature calibration unqualified signal, it displays it and issues a corresponding warning, so that the management personnel can promptly discover the abnormality of the infrared temperature measurement module, and quickly repair the infrared temperature measurement module to ensure the accuracy of the temperature measurement analysis results during the operation of the hot blast furnace, and finally further ensure the safe and stable operation of the hot blast furnace; the specific analysis process of the temperature measurement deviation analysis is as follows:

[0075] The temperature detected by the infrared temperature measurement module in each test result is marked as the furnace temperature to be calibrated value, and the actual temperature in the hot blast furnace in each test result is marked as the furnace temperature calibration value. The difference between the furnace temperature calibration value of the corresponding test and the furnace temperature to be calibrated value is calculated and the absolute value is taken to obtain the temperature measurement deviation value. The larger the value of the temperature measurement deviation value is, the greater the error of the temperature detection result of the infrared temperature measurement module in the current test is. The temperature measurement deviation value is numerically compared with the preset temperature measurement deviation threshold. If the temperature measurement deviation value exceeds the preset temperature measurement deviation threshold, the corresponding temperature measurement deviation value is marked as the temperature measurement height difference data.

[0076] The ratio of the number of temperature measurement height difference data and the number of temperature detection accuracy tests is calculated to obtain the temperature measurement height difference table value, and the temperature measurement height difference table value is numerically compared with the preset temperature measurement height difference table threshold. If the temperature measurement height difference table value exceeds the preset temperature measurement height difference table threshold, a temperature calibration failure signal is generated; if the temperature measurement height difference table value does not exceed the preset temperature measurement height difference table threshold, all temperature measurement deviation values ​​are averaged to obtain the temperature measurement calibration table value, and the temperature measurement calibration table value XF and the temperature measurement height difference table value XG are numerically calculated by the formula XY=tp1*XF+tp2*XG to obtain the temperature measurement verification value XY;

[0077] Among them, tp1 and tp2 are preset weight coefficients, tp2>tp1>1; and, the numerical value of the temperature measurement verification value XY is directly proportional to the temperature measurement calibration table value XF and the temperature measurement height difference table value XG. The larger the numerical value of the temperature measurement verification value XY, the worse the detection accuracy of the infrared temperature measurement module, and the greater the possibility of abnormality and failure; the temperature measurement verification value XY is numerically compared with the preset temperature measurement verification threshold. If the temperature measurement verification value exceeds the preset temperature measurement verification threshold, it indicates that the detection accuracy of the infrared temperature measurement module is poor, and a temperature calibration failure signal is generated; if the temperature measurement verification value XY does not exceed the preset temperature measurement verification threshold, it indicates that the detection accuracy of the infrared temperature measurement module is good, and a temperature calibration qualified signal is generated.

[0078] In addition, the early warning control module is used to perform operation early warning analysis on the display early warning module, and adaptively regulate the display early warning module based on the analysis results, with a high degree of intelligence, so as to ensure that the corresponding management personnel can view the early warning information in time, and further ensure the safe and stable operation of the hot blast furnace; the specific analysis process of the operation early warning analysis is: before the display early warning module displays the early warning, a circle with a radius of R1 is drawn with the display early warning module as the center point, preferably, R1 is 5 meters; the circular area is marked as the early warning response area, and the distribution of personnel in the early warning response area is collected through the monitoring camera. If there is no personnel in the early warning response area, the display early warning module is made to issue an early warning at its maximum volume to remind the surrounding operators as much as possible, and the corresponding early warning text information is generated and sent to the intelligent terminal of the corresponding management personnel, so as to help ensure that response measures can be taken as soon as possible;

[0079] If there are people in the early warning response area, all the people in the early warning response area are obtained, and the corresponding people are marked as target objects i, where i is a natural number greater than or equal to 1; the position of the target object i is collected and marked as the warning point, the position of the display warning module is marked as the warning point, and the distance between the warning point and the warning point of the target object i is calculated to obtain the warning distance value; all the warning distance values ​​are summed and averaged to obtain the warning distance detection value, and the warning distance value with the smallest value is marked as the warning distance micro-amplitude value; several noise measurement points are set in the early warning response area, the noise decibel values ​​of all the noise measurement points are collected, and the noise decibel values ​​of all the noise measurement points are summed and averaged to obtain the noise detection value;

[0080] The personnel pre-effectiveness value RY is obtained by numerically calculating the warning distance detection value RG, the warning distance micro-amplitude value RK and the noise detection value RZ through the formula RY=(sp1*RG+sp2*RK) / 2+sp3*RZ; wherein, sp1, sp2, sp3 are preset proportional coefficients, and the values ​​of sp1, sp2, sp3 are all greater than zero; and, the larger the numerical value of the personnel pre-effectiveness value RY is, the more it is necessary to increase the volume during the warning; several groups of preset personnel pre-effectiveness value ranges are set in advance, and each group of preset personnel pre-effectiveness value ranges corresponds to a group of warning volume values, and the personnel pre-effectiveness value is compared with all preset personnel pre-effectiveness value ranges one by one, and the preset personnel pre-effectiveness value range containing the personnel pre-effectiveness value is marked as the target range, and the warning volume value corresponding to the target range is marked as the target volume value, and the display warning module issues a warning according to the target volume value.

[0081] Example 2 Figure 2 As shown, the difference between this embodiment and embodiment 1 is that the server is connected to the temperature measurement diagnosis module for communication, and the server sends the temperature calibration failure signal to the temperature measurement diagnosis module. When the temperature measurement diagnosis module receives the temperature calibration failure signal, it performs life diagnosis analysis on the infrared temperature measurement module, and judges whether to generate an elimination warning signal accordingly. When the elimination warning signal is generated, it is sent to the display warning module via the server. When the corresponding management personnel receive the elimination warning signal, they should replace the infrared temperature measurement module in time, so as to ensure the accuracy of the temperature monitoring result when the hot blast furnace is running, which is conducive to reducing the safety hazards existing in the operation of the hot blast furnace; the specific analysis process of the life diagnosis analysis is as follows:

[0082] The temperature and pressure of the environment in which the infrared temperature measurement module is located are collected and marked as temperature shadow value and pressure shadow value. The infrared temperature measurement module is easily adversely affected in a high temperature and high pressure state. The temperature shadow value and the pressure shadow value are numerically compared with the preset temperature shadow threshold and the preset pressure shadow threshold respectively. If the temperature shadow value or the pressure shadow value exceeds the corresponding preset threshold, it is judged that the infrared temperature measurement module is in a high-hazard environment at the corresponding moment; the total usage time of the infrared temperature measurement module is obtained, and the total usage time is a data value indicating the interval time from the date of the infrared temperature measurement module being put into use to the current date, and the time during which the infrared temperature measurement module is in a high-hazard environment during the total usage time is obtained and marked as the total high-risk time;

[0083] The maintenance frequency of the infrared temperature measurement module within the total use time is collected, and the single maintenance time of each time is summed up to obtain the total maintenance time. The total use time SD, the total high-risk time SF, the maintenance frequency SW and the total maintenance time SY are numerically calculated through the formula SZ=(kp1*SD+kp2*SF) / (kp3*SW+kp4*SY) to obtain the life diagnosis value SZ; wherein, kp1, kp2, kp3, kp4 are preset proportional coefficients, kp3>kp4>kp2>kp1>0; and, the larger the value of the life diagnosis value SZ, the worse the life condition of the infrared temperature measurement module is, and the more timely replacement is needed; the life diagnosis value SZ is numerically compared with the preset life diagnosis threshold, if the life diagnosis value SZ exceeds the preset life diagnosis threshold, an elimination warning signal is generated; if the life diagnosis value SZ does not exceed the preset life diagnosis threshold, no elimination warning signal is generated.

[0084] The working principle of the present invention is as follows: when in use, the internal temperature of the hot blast furnace is detected by the infrared temperature measurement module, and the temperature control and supervision module analyzes the temperature condition inside the hot blast furnace, thereby generating a normal temperature signal or an abnormal temperature signal, thereby realizing a comprehensive and comprehensive evaluation of the temperature condition inside the hot blast furnace. The temperature evaluation result is more accurate, which helps the management personnel to grasp the abnormal temperature condition inside the hot blast furnace in detail, and take corresponding improvement measures in time to ensure the safe and stable operation of the hot blast furnace; the display and early warning module is used to issue an early warning, and the early warning management and control module performs an operation early warning analysis on the display and early warning module, and adaptively regulates the display and early warning module based on the analysis result, with a high degree of intelligence, thereby ensuring that the corresponding management personnel can view the early warning information in time, further ensuring the safe and stable operation of the hot blast furnace.

[0085] The above formulas are all dimensionless and numerical calculations. The formula is a formula obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters in the formula are set by technicians in this field according to actual conditions. 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 invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the contents of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that technicians in the relevant technical field can understand and use the present invention well. The present invention is only limited by the claims and their full scope and equivalents.

[0086] Obviously, the specific implementation of the present invention is not limited to the above-mentioned methods. As long as various non-substantial improvements are made using the method concept and technical solution of the present invention, they are all within the protection scope of the present invention.

Claims

1. A hot blast stove safety monitoring and control system, characterized in that: It includes a temperature measurement deviation calibration module, a display warning module and a warning control module; the temperature measurement deviation calibration module is used to perform several temperature detection accuracy tests on the temperature measurement module before the hot air furnace starts running and generate a calibration result signal to be sent to the display warning module; The display warning module receives the calibration results and issues corresponding warnings; The early warning control module is used to perform operation early warning analysis on the display early warning module, and adaptively regulate the display early warning module based on the analysis results.

2. A hot blast stove safety monitoring and control system as claimed in claim 1, characterized in that: The control system also includes a server, a temperature control and supervision module, and a temperature measurement module; the temperature measurement module detects the internal temperature of the hot blast furnace, and sends the collected internal temperature data of the hot blast furnace to the temperature control and supervision module via the server; the temperature control and supervision module analyzes the temperature condition inside the hot blast furnace, and generates a normal temperature signal or an abnormal temperature signal accordingly, and sends the abnormal temperature signal to the display and warning module via the server, and the display and warning module displays the abnormal temperature signal when receiving it and issues a corresponding warning.

3. A control method for a hot blast stove safety monitoring and control system as claimed in claim 1, characterized in that: The method includes: before the hot air furnace starts to operate, the infrared temperature measurement module is subjected to several temperature detection accuracy tests through the temperature measurement deviation calibration module, each test result is obtained, and the temperature measurement deviation analysis is performed based on each test result, thereby generating a temperature calibration qualified signal or a temperature calibration unqualified signal, and the temperature calibration unqualified signal is sent to the display warning module via the server, and when the display warning module receives the temperature calibration unqualified signal, it displays it and issues a corresponding warning; the warning control module is used to perform operation warning analysis on the display warning module, and adaptively adjust the display warning module based on the analysis result.

4. The control method of the hot blast stove safety monitoring and control system according to claim 3, characterized in that: After the hot air furnace starts running, the infrared temperature measurement module detects the internal temperature of the hot air furnace, and sends the collected internal temperature data of the hot air furnace to the temperature control and supervision module via the server; the temperature control and supervision module analyzes the temperature conditions inside the hot air furnace, and generates a normal temperature signal or an abnormal temperature signal accordingly, and sends the abnormal temperature signal to the display and warning module via the server. When the display and warning module receives the abnormal temperature signal, it displays it and issues a corresponding warning.

5. The control method of the hot blast stove safety monitoring and control system according to claim 3, characterized in that: After obtaining the internal temperature data of the hot blast furnace, it is marked as the furnace temperature detection value. If the furnace temperature detection value is within the preset furnace temperature detection value range, it is judged that the internal temperature of the hot blast furnace at the corresponding moment is in a suitable state; if the furnace temperature detection value is not within the preset furnace temperature detection value range, it is judged that the internal temperature of the hot blast furnace at the corresponding moment is in an abnormal state; the total duration of the hot blast furnace in the abnormal state during the detection period is obtained, and it is marked as the abnormal temperature duration; the abnormal temperature duration is numerically compared with the preset abnormal temperature duration threshold, and if the abnormal temperature duration exceeds the preset abnormal temperature duration threshold, a temperature abnormality signal is generated; If the abnormal temperature duration does not exceed the preset abnormal temperature duration threshold, when it is judged that the internal temperature of the hot blast furnace at the corresponding moment is in an abnormal state, the deviation value of the furnace temperature detection value at the corresponding moment compared with the preset furnace temperature detection value range is marked as the furnace temperature deviation amplitude, and all the furnace temperature deviation amplitudes in the hot blast furnace during the detection period are summed and calculated and averaged to obtain the furnace temperature deviation table value, and the furnace temperature deviation amplitude with the largest value in the hot blast furnace during the detection period is marked as the furnace temperature danger table value; The furnace temperature deviation value, furnace temperature critical value and abnormal temperature duration during the detection period are numerically calculated to obtain the furnace temperature abnormal value, and the furnace temperature abnormal value is numerically compared with the preset furnace temperature abnormal threshold. If the furnace temperature abnormal value exceeds the preset furnace temperature abnormal threshold, a temperature abnormality signal is generated.

6. The control method of the hot blast stove safety monitoring and control system according to claim 5, characterized in that: If the furnace temperature anomaly value does not exceed the preset furnace temperature anomaly threshold, several evaluation time points are set within the detection period, and the furnace temperature detection values ​​of two adjacent groups of evaluation time points are difference calculated and the absolute value is taken to obtain the furnace temperature fluctuation value; all furnace temperature fluctuation values ​​within the detection period are mean calculated and variance calculated to obtain the temperature wave average value and temperature wave difference value, and the temperature wave average value and temperature wave difference value are numerically compared with the preset temperature wave average value threshold and the preset temperature wave difference value threshold respectively; If the temperature wave average value exceeds the preset temperature wave average value threshold and the temperature wave difference value does not exceed the preset temperature wave difference value threshold, a temperature abnormality signal is generated; if the temperature wave average value does not exceed the preset temperature wave average value threshold and the temperature wave difference value does not exceed the preset temperature wave difference value threshold, a temperature normal signal is generated; otherwise, the furnace temperature fluctuation value is numerically compared with the preset furnace temperature fluctuation threshold, and if the furnace temperature fluctuation value exceeds the preset furnace temperature fluctuation threshold, the corresponding furnace temperature fluctuation value is marked as a temperature wave hazard value; The temperature hazard detection value is obtained by calculating the ratio of the number of temperature wave hazard values ​​to the number of furnace temperature fluctuation values, and the furnace temperature fluctuation value with the largest value and the furnace temperature fluctuation value with the smallest value are difference calculated to obtain the furnace temperature wave amplitude; the temperature hazard detection value, the furnace temperature wave amplitude and the temperature wave average value are numerically calculated to obtain the temperature wave evaluation value, and the temperature wave evaluation value is numerically compared with the preset temperature wave evaluation threshold. If the temperature wave evaluation value exceeds the preset temperature wave evaluation threshold, a temperature abnormality signal is generated. If the temperature wave evaluation value does not exceed the preset temperature wave evaluation threshold, a temperature normal signal is generated.

7. The control method of the hot blast stove safety monitoring and control system according to claim 3, characterized in that: In the temperature measurement deviation analysis, the temperature detected by the infrared temperature measurement module in each test result is marked as the furnace temperature to be calibrated value, and the actual temperature in the hot blast furnace in each test result is marked as the furnace temperature calibration value. The difference between the furnace temperature calibration value of the corresponding test and the furnace temperature to be calibrated value is calculated and the absolute value is taken to obtain the temperature measurement deviation value. The temperature measurement deviation value is numerically compared with the preset temperature measurement deviation threshold. If the temperature measurement deviation value exceeds the preset temperature measurement deviation threshold, the corresponding temperature measurement deviation value is marked as the temperature measurement height difference data; The ratio of the number of temperature measurement height difference data and the number of temperature detection accuracy tests is calculated to obtain the temperature measurement height difference table value, and the temperature measurement height difference table value is numerically compared with the preset temperature measurement height difference table threshold. If the temperature measurement height difference table value exceeds the preset temperature measurement height difference table threshold, a temperature calibration failure signal is generated; if the temperature measurement height difference table value does not exceed the preset temperature measurement height difference table threshold, all temperature measurement deviation values ​​are averaged to obtain the temperature measurement calibration table value, the temperature measurement calibration table value and the temperature measurement height difference table value are numerically calculated to obtain the temperature measurement verification value, and the temperature measurement verification value is numerically compared with the preset temperature measurement verification threshold. If the temperature measurement verification value exceeds the preset temperature measurement verification threshold, a temperature calibration failure signal is generated; If the temperature measurement verification value does not exceed the preset temperature measurement verification threshold, a temperature calibration pass signal is generated.

8. The control method of the hot blast stove safety monitoring and control system according to claim 3, characterized in that: In the operation warning analysis, before the display warning module displays the warning, a circle with a radius of R1 is drawn with the display warning module as the center point, and the circular area is marked as the warning response area. The distribution of people in the warning response area is collected through the monitoring camera. If there is no person in the warning response area, the display warning module will issue a warning at its maximum volume, and generate the corresponding warning text information and send it to the manager's smart terminal; If there are people in the early warning response area, the personnel pre-effectiveness value is obtained through analysis, and several groups of preset personnel pre-effectiveness value ranges are set in advance, and each group of preset personnel pre-effectiveness value ranges corresponds to a group of warning volume values. The personnel pre-effectiveness value is compared with all preset personnel pre-effectiveness value ranges one by one, and the preset personnel pre-effectiveness value range containing the personnel pre-effectiveness value is marked as the target range, and the warning volume value corresponding to the target range is marked as the target volume value, and the display warning module issues a warning according to the target volume value.

9. The control method of the hot blast stove safety monitoring and control system according to claim 8, characterized in that: The analysis and acquisition methods of personnel pre-effectiveness values ​​include: Obtain all personnel in the early warning response area, mark the corresponding personnel as target object i, where i is a natural number greater than or equal to 1; collect the position of target object i and mark it as the warning point, mark the position of the display warning module as the warning point, calculate the distance between the warning point and the warning point of target object i to obtain the warning distance value; sum and calculate all the warning distance values ​​and take the average to obtain the warning distance detection value, and mark the smallest warning distance value as the warning distance micro-amplitude value; Several noise measurement points are set in the early warning response area, and the noise decibel values ​​of all noise measurement points are collected. The noise decibel values ​​of all noise measurement points are summed and averaged to obtain the noise detection value; the warning distance detection value, warning distance micro-amplitude value and noise detection value are numerically calculated to obtain the personnel early warning value.

10. The control method of the hot blast stove safety monitoring and control system according to claim 3, characterized in that: The server is communicatively connected with the temperature measurement and diagnosis module. The server sends a temperature calibration failure signal to the temperature measurement and diagnosis module. When the temperature measurement and diagnosis module receives the temperature calibration failure signal, it performs a life diagnosis analysis on the infrared temperature measurement module to determine whether to generate an elimination warning signal. When the elimination warning signal is generated, it is sent to the display warning module via the server.

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