A hot blast stove safety monitoring control system and method

Abstract

The application discloses a hot blast stove safety monitoring control system, comprising a temperature measurement deviation calibration module, a display early warning module and an early warning control module; the temperature measurement deviation calibration module is used for carrying out several times of temperature detection precision tests on the temperature measurement module before the hot blast stove starts to operate and generating a calibration result signal to be sent to the display early warning module; the display early warning module receives the calibration result and sends corresponding early warning; the early warning control module is used for carrying out operation early warning analysis on the display early warning module and adaptively regulating and controlling the display early warning module based on the analysis result. The scheme evaluates and judges the temperature condition through the temperature control supervision module, generates an early warning signal, comprehensively analyzes the condition inside the hot blast stove and improves the reliability and accuracy of temperature monitoring.

Description

Technical Field

[0001] This invention relates to the field of hot blast stove monitoring and management in industrial production, and particularly to a reliable and stable hot blast stove safety monitoring and control method and system. Background Technology

[0002] A hot blast stove is a heat exchange system widely used in various industrial fields, such as steel, non-ferrous 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 by a fan. It can be used as a heat source for both direct and indirect heating equipment, and has the characteristics of high efficiency and stability, which can meet various industrial heating needs.

[0003] During the operation of the hot blast furnace, its internal temperature needs to be monitored. Currently, this is mainly done by comparing the real-time internal temperature with a set temperature range to determine if any temperature anomalies have occurred. A temperature anomaly is considered to have occurred when the temperature exceeds the set range; otherwise, no anomaly is considered to have occurred. An alarm is triggered when a temperature anomaly occurs; otherwise, no alarm is triggered, and temperature monitoring continues.

[0004] Existing temperature monitoring solutions offer the advantages of simplicity and convenience. However, they rely on the assumption that the detected temperatures are accurate and reliable. Due to the harshness of industrial environments, the monitored temperature data may be inaccurate in many cases. Consequently, existing technologies cannot provide a comprehensive assessment of the internal temperature conditions of the hot blast furnace. The temperature assessment results are not precise enough, and it is difficult to accurately reflect the detection deviations of temperature detection instruments or to adaptively adjust to early warning conditions. This is not conducive to reducing safety hazards during the operation of the hot blast furnace. Summary of the Invention

[0005] The purpose of this invention is to overcome the shortcomings of the prior art and provide a method and system for safety monitoring and control of hot blast stoves. The system evaluates and judges the temperature status through a temperature control monitoring module, generates early warning signals, and performs a comprehensive analysis of the internal condition of the hot blast stove, thereby improving the reliability and accuracy of temperature monitoring.

[0006] To achieve the above objectives, the technical solution adopted by the present invention is as follows: a hot blast stove safety monitoring and control system, comprising a temperature deviation calibration module, a display and early warning module, and an early warning control module; the temperature deviation calibration module is used to perform several temperature detection accuracy tests on the temperature measurement module before the hot blast stove starts operating and generate calibration result signals which are sent to the display and early warning module; the display and early warning module receives the calibration results and issues corresponding early warnings; the early warning control module is used to perform operational early warning analysis on the display and early warning module and adaptively control the display and early warning module based on the analysis results.

[0007] The control system also includes a server, a temperature control monitoring module, and a temperature measurement module. The temperature measurement module detects the internal temperature of the hot air furnace and sends the collected internal temperature data to the temperature control monitoring module via the server. The temperature control monitoring module analyzes the internal temperature of the hot air furnace and generates a normal temperature signal or an abnormal temperature signal accordingly. The abnormal temperature signal is then sent to the display and early warning module via the server. When the display and early warning module receives the abnormal temperature signal, it displays the signal and issues a corresponding early warning.

[0008] A control method for a hot blast stove safety monitoring and control system includes: before the hot blast stove starts operating, performing several temperature detection accuracy tests on an infrared temperature measurement module using a temperature deviation calibration module, obtaining the results of each test, performing temperature deviation analysis based on each test result, generating a temperature calibration pass signal or a temperature calibration fail signal accordingly, and sending the temperature calibration fail signal to a display and early warning module via a server; when the display and early warning module receives the temperature calibration fail signal, it displays the signal and issues a corresponding early warning; an early warning control module is used to perform operational early warning analysis on the display and early warning module, and adaptively adjust the display and early warning module based on the analysis results.

[0009] After the hot air furnace starts operating, the infrared temperature measurement module detects the internal temperature of the hot air furnace and sends the collected internal temperature data to the temperature control monitoring module via the server. The temperature control monitoring module analyzes the internal temperature of the hot air furnace and generates a normal temperature signal or an abnormal temperature signal accordingly. The abnormal temperature signal is then sent to the display and early warning module via the server. When the display and early warning module receives the abnormal temperature signal, it displays the signal and issues a corresponding warning.

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

[0011] The internal temperature data of the hot blast stove is acquired 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 determined that the internal temperature of the hot blast stove at the corresponding time is in a suitable state. If the furnace temperature detection value is not within the preset furnace temperature detection value range, it is determined that the internal temperature of the hot blast stove at the corresponding time is in an abnormal state. The total duration of the abnormal state in the hot blast stove during the detection period is acquired and marked as the abnormal temperature duration. The abnormal temperature duration is compared with the preset abnormal temperature duration threshold. If the abnormal temperature duration exceeds the preset abnormal temperature duration threshold, a temperature anomaly signal is generated.

[0012] Furthermore, if the duration of abnormal temperature does not exceed the preset threshold for abnormal temperature duration, when it is determined that the internal temperature of the hot blast stove is in an abnormal state at the corresponding moment, the deviation of the furnace temperature detection value at the corresponding moment from the preset range of furnace temperature detection values ​​is marked as the furnace temperature deviation value. All furnace temperature deviation values ​​in the hot blast stove during the detection period are summed and averaged to obtain the furnace temperature deviation table value. The furnace temperature deviation value with the largest value in the hot blast stove during the detection period is marked as the furnace temperature critical table value.

[0013] The abnormal furnace temperature readings, critical furnace temperature readings, and duration of abnormal temperatures during the detection period are numerically calculated to obtain the abnormal furnace temperature reading. The abnormal furnace temperature reading is then compared with a preset abnormal furnace temperature threshold. If the abnormal furnace temperature reading exceeds the preset abnormal furnace temperature threshold, a temperature anomaly 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. The difference between the furnace temperature detection values ​​of two adjacent evaluation time points is calculated and the absolute value is taken to obtain the furnace temperature fluctuation value. The mean and variance of all furnace temperature fluctuation values ​​within the detection period are calculated to obtain the average temperature wave value and the temperature wave difference value. The average temperature wave value and the temperature wave difference value are then compared with the preset average temperature wave value threshold and the preset temperature wave difference value threshold, respectively.

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

[0016] In other cases, the furnace temperature fluctuation value is 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 is marked as a temperature hazard value. The ratio of the number of temperature hazard values ​​to the number of furnace temperature fluctuation values ​​is calculated to obtain the temperature hazard detection value. 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 amplitude value. The temperature hazard detection value, furnace temperature amplitude value, and average temperature value are numerically calculated to obtain the temperature assessment value. The temperature assessment value is compared with the preset temperature assessment threshold. If the temperature assessment value exceeds the preset temperature assessment threshold, a temperature abnormality signal is generated. If the temperature assessment value does not exceed the preset temperature assessment threshold, a temperature normal signal is generated.

[0017] Furthermore, the specific analysis process for 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 and the furnace temperature to be calibrated value of the corresponding test is calculated and the absolute value is taken to obtain the temperature measurement deviation value. The temperature measurement deviation value is 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 temperature measurement height difference data.

[0019] The ratio of the number of temperature measurement height difference data points to the number of temperature detection accuracy tests is used to calculate the temperature measurement height difference table value. This value is then compared to a preset temperature measurement height difference table threshold. If the value exceeds the threshold, a temperature calibration failure signal is generated. If the value does not exceed the threshold, the average of all temperature deviation values ​​is calculated to obtain the temperature calibration table value. This value is then compared to the temperature measurement height difference table value to obtain the temperature calibration verification value. This verification value is compared to a preset temperature calibration verification threshold. If the verification value exceeds the threshold, a temperature calibration failure signal is generated; otherwise, a temperature calibration success signal is generated.

[0020] Furthermore, the specific analysis process for operational early warning analysis includes:

[0021] Before the display warning module issues a warning, a circle with a radius of R1 is drawn with the display warning module as the center point. This circular area is marked as the warning response area. The distribution of people in the warning response area is collected by the monitoring camera. If there are no people in the warning response area, the display warning module issues a warning at its maximum volume and generates corresponding warning text information, which is then sent to the smart terminal of the management personnel.

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

[0023] Furthermore, the specific methods for obtaining personnel pre-efficiency values ​​are as follows:

[0024] All personnel in the early warning response area are acquired, and the corresponding personnel are marked as target object i, where i is a natural number greater than or equal to 1; the location of target object i is collected and marked as the alarm arrival point, and the location of the display early warning module is marked as the alarm release point; the distance between the alarm arrival point and the alarm release point of target object i is calculated to obtain the alarm distance value; all alarm distance values ​​are summed and averaged to obtain the alarm distance detection value, and the alarm distance value with the smallest value is marked as the alarm 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 the average value is taken to obtain the noise detection value. The personnel pre-effect value is obtained by numerically calculating the alarm distance detection value, the alarm distance amplitude value and the noise detection value.

[0026] Furthermore, the server communicates with the temperature measurement and diagnostic module. The server sends a temperature calibration failure signal to the temperature measurement and diagnostic module. When the temperature measurement and diagnostic module receives the temperature calibration failure signal, it performs a lifespan diagnostic analysis on the infrared temperature measurement module to determine whether to generate a phase-out warning signal. If a phase-out warning signal is generated, it is sent to the display warning module via the server.

[0027] Furthermore, the specific analysis process for lifetime diagnostic analysis is as follows:

[0028] The temperature and pressure of the environment where the infrared temperature measurement module is located are collected and marked as temperature shadow value and pressure shadow value. The temperature shadow value and pressure shadow value are compared with the preset temperature shadow threshold and preset pressure shadow threshold respectively. If the temperature shadow value or pressure shadow value exceeds the corresponding preset threshold, it is determined that the infrared temperature measurement module is in a high-hazard environment at the corresponding time. 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 high-risk total time.

[0029] The system collects the maintenance frequency of the infrared temperature measurement module within its total usage time, sums the duration of each individual maintenance to obtain the total maintenance time, and calculates the lifespan value by combining the total usage time, high-risk total time, maintenance frequency, and total maintenance time. The lifespan value is then compared with a preset lifespan threshold. If the lifespan value exceeds the preset lifespan threshold, a replacement warning signal is generated; otherwise, no replacement warning signal is generated.

[0030] The advantages of this invention are: 1. The temperature assessment results are more accurate. Various parameters during the operation of the hot air furnace are collected by various sensors, and the collected data is compared with the set values. When the collected data is not within the set range, an alarm is triggered by the alarm module, which realizes real-time monitoring of the hot air furnace and improves the safety of equipment operation.

[0031] 2. It can accurately report the detection deviation of the infrared temperature measurement module and determine whether it needs to be replaced. It also 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.

[0032] 3. The entire system helps reduce safety hazards during the operation of the hot blast furnace. It not only achieves the function of thermal imaging on the surface of the equipment, enabling operators to remotely monitor the working status of the equipment, but also allows for real-time temperature measurement and real-time display of test data reflecting the changes in the surface temperature of the equipment, whether high or low.

[0033] 4. The entire system is highly intelligent and can adaptively adjust to the early warning situation, thus ensuring that relevant management personnel can view the early warning information in a timely manner;

[0034] 5. It has accurate temperature measurement deviation analysis capabilities; Attached Figure Description

[0035] The following is a brief explanation of the contents of each of the accompanying drawings and the markings in the drawings:

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

[0037] Figure 2 This is a schematic diagram of the monitoring system in Embodiment 2 of the present invention. Detailed Implementation

[0038] The specific embodiments of the present invention will be further described in detail below with reference to the accompanying drawings and the description of the preferred embodiments.

[0039] The purpose of this invention is to provide a hot blast stove safety monitoring system based on infrared temperature measurement technology, which solves the problems of existing technologies being unable to achieve a comprehensive assessment of the internal temperature of the hot blast stove, the temperature assessment results being inaccurate, and the difficulty in accurately feeding back the detection deviation of temperature detection instruments and adaptively adjusting the warning situation, resulting in significant safety hazards in the operation of the hot blast stove.

[0040] A safety monitoring system for a hot blast stove based on infrared temperature measurement technology includes a server, an infrared temperature measurement module, a temperature control monitoring module, a temperature 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 stove and sends the collected internal temperature data to the temperature control monitoring module via the server. The temperature control monitoring module analyzes the internal temperature conditions of the hot blast stove and generates a normal temperature signal or a temperature abnormal signal accordingly. The abnormal temperature signal is then sent to the display and early warning module via the server. Upon receiving the abnormal temperature signal, the display and early warning module displays the signal and issues a corresponding early warning.

[0041] The temperature deviation module performs several temperature measurement accuracy tests on the infrared temperature measurement module before the hot blast stove starts operating, obtaining the results of each test. Based on these results, it analyzes the temperature deviation and generates either a temperature calibration pass signal or a temperature calibration fail signal. The temperature calibration fail signal is sent to the display and early warning module via the server. Upon receiving the temperature calibration fail signal, the display and early warning module displays the signal and issues a corresponding warning. The early warning control module performs operational early warning analysis on the display and early warning module and adaptively adjusts it based on the analysis results. Before the hot blast stove starts operating, its actual temperature is constant. The pre-operational temperature value or range can be obtained through empirical calibration or pre-calibration. During the start-up test, the temperature obtained by the infrared temperature measurement module is compared with the pre-calibrated pre-operational temperature to analyze the temperature deviation. If the deviation between the temperature measured by the infrared temperature measurement module and the pre-calibrated temperature exceeds a set threshold, it is judged as unqualified, generating a temperature calibration fail signal; otherwise, it is qualified, generating a temperature calibration qualified signal.

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

[0043] The internal temperature data of the hot blast stove is acquired 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 determined that the internal temperature of the hot blast stove at the corresponding time is in a suitable state. If the furnace temperature detection value is not within the preset furnace temperature detection value range, it is determined that the internal temperature of the hot blast stove at the corresponding time is in an abnormal state. The total duration of the abnormal state in the hot blast stove during the detection period is acquired and marked as the abnormal temperature duration. The abnormal temperature duration is compared with the preset abnormal temperature duration threshold. If the abnormal temperature duration exceeds the preset abnormal temperature duration threshold, a temperature anomaly signal is generated.

[0044] Furthermore, if the duration of abnormal temperature does not exceed the preset threshold for abnormal temperature duration, when it is determined that the internal temperature of the hot blast stove is in an abnormal state at the corresponding moment, the deviation of the furnace temperature detection value at the corresponding moment from the preset range of furnace temperature detection values ​​is marked as the furnace temperature deviation value. All furnace temperature deviation values ​​in the hot blast stove during the detection period are summed and averaged to obtain the furnace temperature deviation table value. The furnace temperature deviation value with the largest value in the hot blast stove during the detection period is marked as the furnace temperature critical table value.

[0045] The abnormal furnace temperature readings, critical furnace temperature readings, and duration of abnormal temperatures during the detection period are numerically calculated to obtain the abnormal furnace temperature reading. The abnormal furnace temperature reading is then compared with a preset abnormal furnace temperature threshold. If the abnormal furnace temperature reading exceeds the preset abnormal furnace temperature threshold, a temperature anomaly 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. The difference between the furnace temperature detection values ​​of two adjacent evaluation time points is calculated and the absolute value is taken to obtain the furnace temperature fluctuation value. The mean and variance of all furnace temperature fluctuation values ​​within the detection period are calculated to obtain the average temperature wave value and the temperature wave difference value. The average temperature wave value and the temperature wave difference value are then compared with the preset average temperature wave value threshold and the preset temperature wave difference value threshold, respectively.

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

[0048] In other cases, the furnace temperature fluctuation value is 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 is marked as a temperature hazard value. The ratio of the number of temperature hazard values ​​to the number of furnace temperature fluctuation values ​​is calculated to obtain the temperature hazard detection value. 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 amplitude value. The temperature hazard detection value, furnace temperature amplitude value, and average temperature value are numerically calculated to obtain the temperature assessment value. The temperature assessment value is compared with the preset temperature assessment threshold. If the temperature assessment value exceeds the preset temperature assessment threshold, a temperature abnormality signal is generated. If the temperature assessment value does not exceed the preset temperature assessment threshold, a temperature normal signal is generated.

[0049] Furthermore, the specific analysis process for 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 and the furnace temperature to be calibrated value of the corresponding test is calculated and the absolute value is taken to obtain the temperature measurement deviation value. The temperature measurement deviation value is 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 temperature measurement height difference data.

[0051] The ratio of the number of temperature measurement height difference data points to the number of temperature detection accuracy tests is used to calculate the temperature measurement height difference table value. This value is then compared to a preset temperature measurement height difference table threshold. If the value exceeds the threshold, a temperature calibration failure signal is generated. If the value does not exceed the threshold, the average of all temperature deviation values ​​is calculated to obtain the temperature calibration table value. This value is then compared to the temperature measurement height difference table value to obtain the temperature calibration verification value. This verification value is compared to a preset temperature calibration verification threshold. If the verification value exceeds the threshold, a temperature calibration failure signal is generated; otherwise, a temperature calibration success signal is generated.

[0052] Furthermore, the specific analysis process for operational early warning analysis includes:

[0053] Before the display warning module issues a warning, a circle with a radius of R1 is drawn with the display warning module as the center point. This circular area is marked as the warning response area. The distribution of people in the warning response area is collected by the monitoring camera. If there are no people in the warning response area, the display warning module issues a warning at its maximum volume and generates corresponding warning text information, which is then sent to the smart terminal of the management personnel.

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

[0055] Furthermore, the specific methods for obtaining personnel pre-efficiency values ​​are as follows:

[0056] All personnel in the early warning response area are acquired, and the corresponding personnel are marked as target object i, where i is a natural number greater than or equal to 1; the location of target object i is collected and marked as the alarm arrival point, and the location of the display early warning module is marked as the alarm release point; the distance between the alarm arrival point and the alarm release point of target object i is calculated to obtain the alarm distance value; all alarm distance values ​​are summed and averaged to obtain the alarm distance detection value, and the alarm distance value with the smallest value is marked as the alarm 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 the average value is taken to obtain the noise detection value. The personnel pre-effect value is obtained by numerically calculating the alarm distance detection value, the alarm distance amplitude value and the noise detection value.

[0058] Furthermore, the server communicates with the temperature measurement and diagnostic module. The server sends a temperature calibration failure signal to the temperature measurement and diagnostic module. When the temperature measurement and diagnostic module receives the temperature calibration failure signal, it performs a lifespan diagnostic analysis on the infrared temperature measurement module to determine whether to generate a phase-out warning signal. If a phase-out warning signal is generated, it is sent to the display warning module via the server.

[0059] Furthermore, the specific analysis process for lifetime diagnostic analysis is as follows:

[0060] The temperature and pressure of the environment where the infrared temperature measurement module is located are collected and marked as temperature shadow value and pressure shadow value. The temperature shadow value and pressure shadow value are compared with the preset temperature shadow threshold and preset pressure shadow threshold respectively. If the temperature shadow value or pressure shadow value exceeds the corresponding preset threshold, it is determined that the infrared temperature measurement module is in a high-hazard environment at the corresponding time. 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 high-risk total time.

[0061] The system collects the maintenance frequency of the infrared temperature measurement module within its total usage time, sums the duration of each individual maintenance to obtain the total maintenance time, and calculates the lifespan value by combining the total usage time, high-risk total time, maintenance frequency, and total maintenance time. The lifespan value is then compared with a preset lifespan threshold. If the lifespan value exceeds the preset lifespan threshold, a replacement warning signal is generated; otherwise, no replacement warning signal is generated.

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

[0063] 1) In this invention, the internal temperature of the hot blast stove is detected by an infrared temperature measurement module, and the temperature control monitoring module analyzes the internal temperature conditions of the hot blast stove to generate normal or abnormal temperature signals. This enables a comprehensive assessment of the internal temperature conditions of the hot blast stove, resulting in more accurate temperature assessments. This helps managers to understand the abnormal internal temperature conditions of the hot blast stove in detail and take timely corrective measures to ensure the safe and stable operation of the hot blast stove. The display and early warning module is used to issue early warnings, and the early warning control module analyzes the operation of the display and early warning module and adaptively adjusts the display and early warning module based on the analysis results. This high level of intelligence ensures that relevant managers can view the early warning information in a timely manner, further guaranteeing the safe and stable operation of the hot blast stove.

[0064] 2) In this invention, before the hot blast stove starts operating, the infrared temperature measurement module is subjected to several temperature detection accuracy tests by the temperature deviation module. Based on the results of each test, the temperature deviation is analyzed to generate a temperature calibration pass signal or a temperature calibration fail signal, so that the management personnel can promptly detect the abnormality of the infrared temperature measurement module and quickly repair it, so as to ensure the accuracy of the temperature analysis results during the operation of the hot blast stove; and when a temperature calibration fail signal is generated, the infrared temperature measurement module is subjected to life diagnosis analysis by the temperature diagnosis module, so as to determine whether to generate a replacement warning signal, so as to replace the infrared temperature measurement module in time, ensuring the accuracy of the temperature monitoring results during the operation of the hot blast stove and reducing the safety hazards existing during the operation of the hot blast stove. (3) The present invention relates to a blast furnace pulverized coal injection device in the ironmaking process, which disperses the pulverized coal while feeding it to prevent the pulverized coal from agglomerating, so that the pulverized coal can be better mixed with the air.

[0065] To more clearly illustrate the proposed solution, the following detailed description is provided in conjunction with two accompanying figures:

[0066] Example 1 Figure 1 As shown, the present invention proposes a hot air furnace safety monitoring system based on infrared temperature measurement technology, comprising a server, an infrared temperature measurement module, a temperature control monitoring module, a temperature measurement deviation calibration module, a display and early warning module, and an early warning control module. The server is communicatively connected to the infrared temperature measurement module, the temperature control monitoring module, the temperature measurement deviation calibration module, the display and early warning module, and the early warning control module. The infrared temperature measurement module uses infrared temperature measurement technology to monitor the internal temperature of the hot air furnace. Specifically, an infrared temperature sensor is placed inside the hot air furnace to sense the temperature inside the furnace in real time.

[0067] The infrared temperature measurement module detects the internal temperature of the hot blast stove and sends the collected internal temperature data to the temperature control and monitoring module via a server. The temperature control and monitoring module analyzes the internal temperature conditions of the hot blast stove and generates normal or abnormal temperature signals. Abnormal temperature signals are then sent to the display and early warning module via the server. Upon receiving an abnormal temperature signal, the display and early warning module displays the signal and issues a corresponding warning. This helps management personnel to have a detailed understanding of the abnormal internal temperature conditions of the hot blast stove, enabling them to take timely corrective measures and ensure the safe and stable operation of the hot blast stove. The specific operation process of the temperature control and monitoring module is as follows:

[0068] The internal temperature data of the hot blast stove is acquired and marked as the furnace temperature detection value. The furnace temperature detection value is compared with a preset furnace temperature detection value range. If the furnace temperature detection value is within the preset range, it is determined that the internal temperature of the hot blast stove at that time is in a suitable state. If the furnace temperature detection value is not within the preset range, it is determined that the internal temperature of the hot blast stove at that time is in an abnormal state. The total duration of the abnormal state in the hot blast stove during the detection period is acquired and 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 inside the hot blast stove. The abnormal temperature duration is compared with a preset abnormal temperature duration threshold. If the abnormal temperature duration exceeds the preset abnormal temperature duration threshold, a temperature anomaly signal is generated.

[0069] If the duration of abnormal temperature does not exceed the preset threshold for abnormal temperature duration, when it is determined that the internal temperature of the hot blast stove is in an abnormal state at the corresponding moment, the deviation of the furnace temperature detection value at the corresponding moment from the preset range of furnace temperature detection values ​​is marked as the furnace temperature deviation value. All furnace temperature deviation values ​​in the hot blast stove during the detection period are summed and averaged to obtain the furnace temperature deviation table value. The furnace temperature deviation value with the largest value in the hot blast stove during the detection period is marked as the furnace temperature critical table value.

[0070] The abnormal furnace temperature value LW is calculated using the formula LW = a1*LQ + a2*LY + a3*LK, which calculates the furnace temperature deviation value LQ, the critical furnace temperature value LY, and the duration of abnormal temperature LK during the detection period. Here, a1, a2, and a3 are preset weighting coefficients, with a3 > a1 > a2 > 0. Furthermore, the larger the abnormal furnace temperature value LW, the worse the temperature performance inside the hot blast furnace. The abnormal furnace temperature value LW is then compared with a preset abnormal furnace temperature threshold. If the abnormal furnace temperature value LW exceeds the preset threshold, a temperature anomaly 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 interval between two adjacent evaluation time points is the same. The difference between the furnace temperature detection values ​​of two adjacent evaluation time points is calculated and the absolute value is taken to obtain the furnace temperature fluctuation value. The mean and variance of all furnace temperature fluctuation values ​​within the detection period are calculated to obtain the average temperature wave value and the temperature wave difference value. It should be noted that the larger the temperature wave difference value, the more unstable the temperature inside the hot blast furnace within the detection period. The average temperature wave value and the temperature wave difference value are compared with the preset average temperature wave value threshold and the preset temperature wave difference value threshold, respectively.

[0072] If the average temperature wave exceeds the preset average temperature wave threshold and the temperature wave difference does not exceed the preset temperature wave difference threshold, a temperature abnormality signal is generated; if the average temperature wave does not exceed the preset average temperature wave threshold and the temperature wave difference does not exceed the preset temperature wave difference threshold, a temperature normal signal is generated; otherwise, the furnace temperature fluctuation value is 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 is marked as a temperature hazard value; the ratio of the number of temperature hazard values ​​to the number of furnace temperature fluctuation values ​​is calculated to obtain the temperature hazard detection value; 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 amplitude value.

[0073] The temperature wave assessment value WB is obtained by numerically calculating the temperature hazard detection value WR, the furnace temperature wave amplitude WT, and the average temperature wave WY using the formula WB = eg1*WR + eg2*WT + eg3*WY. Here, eg1, eg2, and eg3 are preset weighting coefficients, where eg1 > eg3 > eg2 > 0. Furthermore, the larger the temperature wave assessment value WB, the worse the temperature performance inside the hot blast furnace during the detection period. The temperature wave assessment value WB is compared with a preset temperature wave assessment threshold. If the temperature wave assessment value WB exceeds the preset temperature wave assessment threshold, a temperature anomaly signal is generated; if the temperature wave assessment value WB does not exceed the preset temperature wave assessment threshold, a temperature normal signal is generated.

[0074] Furthermore, before the hot blast stove starts operating, the temperature deviation module performs several temperature detection accuracy tests on the infrared temperature measurement module, obtaining the results of each test. Based on these results, a temperature deviation analysis is performed to generate a temperature calibration pass signal or a temperature calibration fail signal. The temperature calibration fail signal is sent to the display and early warning module via the server. Upon receiving the temperature calibration fail signal, the display and early warning module displays the signal and issues a corresponding warning, allowing management personnel to promptly detect abnormalities in the infrared temperature measurement module and quickly repair it. This ensures the accuracy of the temperature analysis results during the hot blast stove's operation, ultimately guaranteeing the safe and stable operation of the hot blast stove. The specific analysis process of the temperature 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 air furnace in each test result is marked as the furnace temperature calibration value. The difference between the furnace temperature calibration value and the furnace temperature to be calibrated value in the corresponding test is calculated and the absolute value is taken to obtain the temperature measurement deviation value. The larger the temperature measurement deviation value, the larger the error of the temperature detection result of the infrared temperature measurement module in that test. The temperature measurement deviation value is 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 temperature measurement height difference data.

[0076] The temperature measurement height difference table value is calculated by comparing the number of temperature measurement height difference data with the number of temperature detection accuracy tests. The temperature measurement height difference table value is then compared with a 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, the average of all temperature measurement deviation values ​​is calculated to obtain the temperature calibration table value. The temperature calibration table value XF and the temperature measurement height difference table value XG are then calculated using the formula XY=tp1*XF+tp2*XG to obtain the temperature measurement verification value XY.

[0077] In this context, tp1 and tp2 are preset weighting coefficients, with tp2 > tp1 > 1. Furthermore, the value of the temperature calibration value XY is directly proportional to both the temperature calibration table value XF and the temperature height difference table value XG. The larger the value of the temperature calibration value XY, the worse the detection accuracy of the infrared temperature measurement module, and the greater the possibility of abnormalities and malfunctions. The temperature calibration value XY is compared with the preset temperature calibration threshold. If the temperature calibration value exceeds the preset temperature calibration 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 calibration value XY does not exceed the preset temperature calibration threshold, it indicates that the detection accuracy of the infrared temperature measurement module is good, and a temperature calibration success signal is generated.

[0078] Furthermore, the early warning and control module is used to perform operational early warning analysis on the display early warning module and adaptively adjust the display early warning module based on the analysis results. This high level of intelligence ensures that relevant management personnel can view early warning information in a timely manner, further guaranteeing the safe and stable operation of the hot blast stove. The specific analysis process for operational early warning is as follows: Before the display early warning module issues an 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. This circular area is marked as the early warning response area. The distribution of personnel in the early warning response area is collected by a monitoring camera. If there are no personnel in the early warning response area, the display early warning module issues an early warning at its maximum volume to alert surrounding operators as much as possible. Corresponding early warning text information is generated and sent to the smart terminal of the relevant management personnel, thus helping to ensure that response measures can be taken as quickly as possible.

[0079] If there are personnel in the early warning response area, all personnel in the early warning response area are acquired, and the corresponding personnel are marked as target object i, where i is a natural number greater than or equal to 1; the location of target object i is collected and marked as the alarm arrival point, and the location of the display early warning module is marked as the alarm release point; the distance between the alarm arrival point and the alarm release point of target object i is calculated to obtain the alarm distance value; all alarm distance values ​​are summed and averaged to obtain the alarm distance detection value, and the alarm distance value with the smallest value is marked as the alarm 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;

[0080] The personnel pre-warning value RY is obtained by numerically calculating the alarm distance detection value RG, the alarm distance amplitude value RK, and the noise detection value RZ using the formula RY=(sp1*RG+sp2*RK) / 2+sp3*RZ. Here, sp1, sp2, and sp3 are preset proportional coefficients, all of which are greater than zero. Furthermore, the larger the personnel pre-warning value RY, the greater the need to increase the alarm volume. Several preset personnel pre-warning value ranges are pre-defined, with each range corresponding to a set of alarm volume values. The personnel pre-warning value is compared with each of the preset ranges, and the range containing that value is marked as the target range. The alarm volume value corresponding to the target range is marked as the target volume value, and the alarm display module issues an alarm 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 and the temperature diagnostic module are connected in communication. The server sends a temperature calibration failure signal to the temperature diagnostic module. When the temperature diagnostic module receives the temperature calibration failure signal, it performs a lifespan diagnostic analysis on the infrared temperature measurement module to determine whether a replacement warning signal should be generated. When a replacement warning signal is generated, it is sent to the display warning module via the server. When the relevant management personnel receive the replacement warning signal, they should replace the infrared temperature measurement module in a timely manner to ensure the accuracy of temperature monitoring results during the operation of the hot blast stove and to help reduce potential safety hazards during the operation of the hot blast stove. The specific analysis process of the lifespan diagnostic analysis is as follows:

[0082] The temperature and pressure of the environment where 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 prone to adverse effects on its service life when it is under high temperature and high pressure. The temperature shadow value and pressure shadow value are compared with the preset temperature shadow threshold and preset pressure shadow threshold respectively. If the temperature shadow value or pressure shadow value exceeds the corresponding preset threshold, it is determined that the infrared temperature measurement module is in a high-hazard environment at the corresponding time. The total usage time of the infrared temperature measurement module is obtained. The total usage time represents the data value of the time interval between the date of use and the current date. The time when the infrared temperature measurement module is in a high-hazard environment within the total usage time is also obtained and marked as high-risk total time.

[0083] The system collects the maintenance frequency of the infrared temperature measurement module within its total usage time. The duration of each individual maintenance session is summed to obtain the total maintenance time. The lifespan diagnostic value SZ is then calculated using the formula SZ = (kp1*SD + kp2*SF) / (kp3*SW + kp4*SY). Here, kp1, kp2, kp3, and kp4 are preset proportional coefficients, with kp3 > kp4 > kp2 > kp1 > 0. A higher lifespan diagnostic value SZ indicates a worse lifespan for the infrared temperature measurement module, requiring more timely replacement. The lifespan diagnostic value SZ is compared to a preset lifespan diagnostic threshold. If SZ exceeds the threshold, a replacement warning signal is generated; otherwise, no replacement warning signal is generated.

[0084] The working principle of this invention is as follows: During use, the internal temperature of the hot air furnace is detected by an infrared temperature measurement module, and the temperature control monitoring module analyzes the internal temperature conditions of the hot air furnace to generate normal or abnormal temperature signals. This enables a comprehensive assessment of the internal temperature conditions of the hot air furnace, resulting in more accurate temperature assessments. This helps management personnel to understand the abnormal internal temperature conditions of the hot air furnace in detail and take timely corrective measures to ensure the safe and stable operation of the hot air furnace. The display and early warning module is used to issue early warnings, and the early warning control module analyzes the operation of the display and early warning module and adaptively adjusts the display and early warning module based on the analysis results. This high degree of intelligence ensures that relevant management personnel can view early warning information in a timely manner, further guaranteeing the safe and stable operation of the hot air furnace.

[0085] The above formulas are all dimensionless numerical calculations. These formulas are derived from software simulations using collected data to obtain the most recent real-world results. The preset parameters in the formulas are set by those skilled in the art according to actual conditions. The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. The preferred embodiments do not describe all details exhaustively, nor do they limit the invention to specific implementations. Obviously, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

[0086] Obviously, the specific implementation of this invention is not limited to the above-described methods. Any non-substantial improvements made using the inventive concept and technical solution of this invention are within the protection scope of this invention.

Claims

1. A control method for a hot blast stove safety monitoring and control system, characterized in that: The control system includes a temperature measurement deviation calibration module, a display and early warning module, and an early 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 blast furnace starts operating and generate a calibration result signal to be sent to the display and early warning module. The display and warning module receives the calibration results and issues corresponding warnings; The early warning and control module is used to perform operational early warning analysis on the display early warning module, and to adaptively adjust the display early warning module based on the analysis results; The control system also includes a server, a temperature control monitoring module, and a temperature measurement module. The 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 monitoring module via the server. The temperature control monitoring module analyzes the internal temperature of the hot air furnace and generates a normal temperature signal or a temperature abnormal signal accordingly. The abnormal temperature signal is sent to the display and early warning module via the server. When the display and early warning module receives the abnormal temperature signal, it displays the signal and issues a corresponding early warning. The method includes: before the hot blast furnace starts operating, performing several temperature detection accuracy tests on the infrared temperature measurement module using a temperature deviation calibration module, obtaining the results of each test, performing temperature deviation analysis based on each test result, generating a temperature calibration pass signal or a temperature calibration fail signal accordingly, and sending the temperature calibration fail signal to the display and early warning module via a server; when the display and early warning module receives the temperature calibration fail signal, it displays the signal and issues a corresponding early warning; the early warning control module is used to perform operational early warning analysis on the display and early warning module, and adaptively adjust the display and early warning module based on the analysis results; After acquiring the internal temperature data of the hot blast stove, 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 determined that the internal temperature of the hot blast stove at the corresponding time is in a suitable state; if the furnace temperature detection value is not within the preset furnace temperature detection value range, it is determined that the internal temperature of the hot blast stove at the corresponding time is in an abnormal state; the total duration of the abnormal state in the hot blast stove during the detection period is acquired and marked as the abnormal temperature duration; the abnormal temperature duration is 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. If the duration of abnormal temperature does not exceed the preset threshold for abnormal temperature duration, when it is determined that the internal temperature of the hot blast stove is in an abnormal state at the corresponding moment, the deviation of the furnace temperature detection value at the corresponding moment from the preset range of furnace temperature detection values ​​is marked as the furnace temperature deviation value. All furnace temperature deviation values ​​in the hot blast stove during the detection period are summed and averaged to obtain the furnace temperature deviation table value. The furnace temperature deviation value with the largest value in the hot blast stove during the detection period is marked as the furnace temperature critical table value. The abnormal furnace temperature readings, critical furnace temperature readings, and duration of abnormal temperatures during the detection period are numerically calculated to obtain the abnormal furnace temperature reading. The abnormal furnace temperature reading is then compared with a preset abnormal furnace temperature threshold. If the abnormal furnace temperature reading exceeds the preset abnormal furnace temperature threshold, a temperature anomaly signal is generated.

2. The control method of the hot blast stove safety monitoring and control system as described in claim 1, characterized in that: After the hot air furnace starts operating, the infrared temperature measurement module detects the internal temperature of the hot air furnace and sends the collected internal temperature data to the temperature control monitoring module via the server. The temperature control monitoring module analyzes the internal temperature of the hot air furnace and generates a normal temperature signal or an abnormal temperature signal accordingly. The abnormal temperature signal is then sent to the display and early warning module via the server. When the display and early warning module receives the abnormal temperature signal, it displays the signal and issues a corresponding warning.

3. The control method of the hot blast stove safety monitoring and control system as described in claim 1, characterized in that: If the furnace temperature out-of-range value does not exceed the preset furnace temperature out-of-range threshold, then several evaluation time points are set within the detection period. The difference between the furnace temperature detection values ​​of two adjacent evaluation time points is calculated and the absolute value is taken to obtain the furnace temperature fluctuation value. The mean and variance of all furnace temperature fluctuation values ​​within the detection period are calculated to obtain the average temperature wave value and the temperature wave difference value. The average temperature wave value and the temperature wave difference value are then compared with the preset average temperature wave value threshold and the preset temperature wave difference value threshold, respectively. If the average temperature wave exceeds the preset average temperature wave threshold and the temperature wave difference does not exceed the preset temperature wave difference threshold, a temperature abnormality signal is generated; if the average temperature wave does not exceed the preset average temperature wave threshold and the temperature wave difference does not exceed the preset temperature wave difference threshold, a temperature normal signal is generated; otherwise, the furnace temperature fluctuation value is 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 is marked as a temperature hazard value. The temperature hazard detection value is obtained by calculating the ratio of the number of temperature hazard values ​​to the number of furnace temperature fluctuation values. The furnace temperature fluctuation amplitude is obtained by calculating the difference between the furnace temperature fluctuation value with the largest value and the furnace temperature fluctuation value with the smallest value. The temperature hazard detection value, furnace temperature fluctuation amplitude, and average temperature fluctuation value are numerically calculated to obtain the temperature fluctuation assessment value. The temperature fluctuation assessment value is compared with the preset temperature fluctuation assessment threshold. If the temperature fluctuation assessment value exceeds the preset temperature fluctuation assessment threshold, a temperature abnormality signal is generated. If the temperature fluctuation assessment value does not exceed the preset temperature fluctuation assessment threshold, a temperature normal signal is generated.

4. The control method of the hot blast stove safety monitoring and control system as described in claim 1, characterized in that: During 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 air furnace in each test result is marked as the furnace temperature calibration value. The difference between the furnace temperature calibration value and the furnace temperature to be calibrated value of the corresponding test is calculated and the absolute value is taken to obtain the temperature measurement deviation value. The temperature measurement deviation value is 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 temperature measurement height difference data. The temperature measurement height difference table value is calculated by comparing the number of temperature measurement height difference data with the number of temperature detection accuracy tests. This value is then compared to a preset temperature measurement height difference table threshold. If the value exceeds the threshold, a temperature calibration failure signal is generated. If the value does not exceed the threshold, the average of all temperature deviation values ​​is calculated to obtain the temperature calibration table value. This value is then compared to the temperature measurement height difference table value to obtain the temperature calibration verification value. Finally, this value is compared to a preset temperature calibration verification threshold. If the verification value exceeds the 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 will be generated.

5. The control method of the hot blast stove safety monitoring and control system as described in claim 1, characterized in that: During the early warning analysis, 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. This circular area is marked as the early warning response area. The distribution of people in the early warning response area is collected by the monitoring camera. If there are no people in the early warning response area, the display early warning module will issue an early warning at its maximum volume and generate corresponding early warning text information and send it to the smart terminal of the management personnel. If there are personnel in the warning response area, the personnel pre-effect value is obtained through analysis. Several preset personnel pre-effect value ranges are set in advance, and each preset personnel pre-effect value range corresponds to a set of warning volume values. The personnel pre-effect value is compared with all preset personnel pre-effect value ranges one by one. The preset personnel pre-effect value range containing the personnel pre-effect value is marked as the target range, and the warning volume value corresponding to the target range is marked as the target volume value. The warning display module issues a warning according to the target volume value.

6. The control method of the hot blast stove safety monitoring and control system as described in claim 5, characterized in that: The methods for analyzing and obtaining personnel pre-effect values ​​include: All personnel in the early warning response area are acquired, and the corresponding personnel are marked as target object i, where i is a natural number greater than or equal to 1; the location of target object i is collected and marked as the alarm arrival point, and the location of the display early warning module is marked as the alarm release point; the distance between the alarm arrival point and the alarm release point of target object i is calculated to obtain the alarm distance value; all alarm distance values ​​are summed and averaged to obtain the alarm distance detection value, and the alarm distance value with the smallest value is marked as the alarm 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 the average value is taken to obtain the noise detection value. The personnel pre-effect value is obtained by numerically calculating the alarm distance detection value, the alarm distance amplitude value and the noise detection value.

7. The control method of the hot blast stove safety monitoring and control system as described in claim 1, characterized in that: The server communicates with the temperature measurement and diagnostic module. The server sends a temperature calibration failure signal to the temperature measurement and diagnostic module. When the temperature measurement and diagnostic module receives the temperature calibration failure signal, it performs a lifespan diagnostic analysis on the infrared temperature measurement module to determine whether to generate a phase-out warning signal. If a phase-out warning signal is generated, it is sent to the display warning module via the server.

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