Blast furnace gas detection and ventilation control system and method and application

Abstract

The invention belongs to the technical field of steelmaking equipment, and discloses a blast furnace gas detection and ventilation control system and method and application, and the blast furnace gas detection and ventilation control system comprises a remote display screen, a PLC system, a fixed carbon monoxide detection device, an alarm instrument and a ventilation facility. PLC control and multi-module linkage are integrated through the system, and automation of the whole process of alarm, ventilation and data display is achieved. A fuzzy control algorithm is adopted, the carbon monoxide concentration change rate is analyzed in real time, and the ventilation intensity is dynamically adjusted, so that the problem of triggering depending on a fixed threshold value is solved, and control lag is avoided and the emergency response time is shortened by pre-judging the leakage risk level.

Description

Technical Field

[0001] The present invention belongs to the technical field of steelmaking equipment, and in particular relates to a control system, method and application of blast furnace gas detection and ventilation. Background Art

[0002] Blast furnace gas leakage is a major safety risk in the production process of iron and steel plants. Once a gas leak occurs in a blast furnace gas facility, it is very likely to cause poisoning accidents and fire accidents.

[0003] Currently, in order to avoid gas leakage problems, iron and steel plants connect the detection signals of fixed carbon monoxide detectors to wall-mounted centralized displays, and display the alarm channel through alarm information. However, this approach cannot accurately display the location of the gas leak; and when a gas leak occurs, the closed area needs to be manually forced ventilated.

[0004] The Chinese patent with publication number CN110930628A discloses a technology for an indoor gas remote alarm system and an indoor gas remote alarm method. This technology relies solely on power cuts and remote alarms, lacks a dynamic ventilation control mechanism, and is unable to actively reduce gas concentrations. At the same time, it adopts a "full open, full closed" ventilation mode, that is, once an alarm is triggered, all fans are turned on to maximum power. The response strategy is single, only triggering power outages and sound and light alarms, resulting in excessive reliance on manual intervention and difficulty in responding to rapidly spreading leakage scenarios. Its control logic is mostly threshold-triggered, lacking dynamic analysis of concentration change trends. For example, when the carbon monoxide concentration rises at a relatively fast rate (such as a sudden leak due to a ruptured pipeline), the system cannot predict the risk level and adjust the ventilation intensity in advance, resulting in the control lagging behind the actual operating conditions and failing to meet the current needs of blast furnace gas leakage monitoring and emergency response.

[0005] Chinese patent publication number CN215985995U discloses a carbon monoxide concentration detection device for coal mining. This technology's control logic relies on a fixed threshold trigger mechanism, activating ventilation equipment to a fixed intensity and triggering an alarm only when the carbon monoxide concentration exceeds a preset value. This technology lacks the ability to dynamically monitor and respond to the rate of concentration change, making it impossible to predict the risk level based on the leakage rate and adjust the ventilation intensity in advance, resulting in a delayed response. Furthermore, the system lacks integrated leak point location functionality and only provides overall regional concentration data, making it difficult to quickly and accurately identify the leak location. It uses a "full-on, full-off" ventilation mode, meaning that all fans are activated to maximum power upon an alarm. This results in a single response strategy and an inability to build a predictive model based on real-time concentration gradients to enhance risk prevention and control capabilities. This system cannot meet current requirements for blast furnace gas leak monitoring and emergency response.

[0006] Based on this, the control logic of the current existing technology is mostly threshold-triggered, lacking dynamic analysis of concentration trends, and relying on manual intervention, especially in ventilation control, where there are obvious shortcomings. When the carbon monoxide concentration is detected to be excessive, the system only triggers an audible and visual alarm, but the ventilation facilities need to be started manually, resulting in a prolonged emergency response time, and the system mostly adopts a "full open and full closed" ventilation mode, that is, once the alarm is triggered, all fans are turned on to maximum power. This extensive control may lead to energy waste, and it is easy to form airflow dead corners in complex spatial structures, reducing ventilation efficiency. For example, due to the dense equipment in the TRT workshop and the large ventilation resistance in local areas, the forced maximum air volume may not be able to effectively disperse the gas, but instead aggravate the uneven concentration distribution.

[0007] Therefore, developing an automated system with precise leak location, intelligent ventilation control and rapid response capabilities has become a technical challenge that needs to be urgently solved in the ironmaking industry. Summary of the Invention

[0008] The purpose of the present invention is to overcome the deficiencies in the prior art and provide a method for controlling fixed carbon monoxide detection and ventilation facilities in places where coal gas is likely to accumulate.

[0009] The technical solution adopted by the present invention to solve its technical problem is:

[0010] A blast furnace gas detection and ventilation control system, including a remote display screen, a PLC system, a fixed carbon monoxide detection device, an alarm device and ventilation facilities;

[0011] The input end of the remote display screen is connected to the output end of the PLC system, the output end of the fixed carbon monoxide detection device is connected to the input end of the PLC system, and the input end of the alarm device and the ventilation facility is connected to the output end of the PLC system;

[0012] The fixed carbon monoxide detection device can transmit the detected carbon monoxide concentration data to the PLC system, and the remote display screen can display the carbon monoxide concentration data in the PLC system;

[0013] The PLC system is capable of receiving data transmitted by the fixed carbon monoxide detection device, and the PLC system is capable of automatic control;

[0014] The remote display screen can display the working status of the alarm, carbon monoxide detection data at each point and the ventilation intensity of the ventilation facilities;

[0015] The alarm device can sound an alarm to remind staff members of accidents.

[0016] A control method for a blast furnace gas detection and ventilation system includes the following steps:

[0017] Step 1: Installation and fixing of system devices

[0018] The fixed carbon monoxide detectors were placed in the ironworks workshops, ventilation facilities were set up, and then the remote display screen, PLC system, fixed carbon monoxide detectors, alarms, and ventilation facilities were assembled and installed.

[0019] Step 2: System programming and data testing

[0020] The staff program the PLC control program and then start the system. The fixed carbon monoxide detection device transmits the carbon monoxide concentration detection data at the location to the PLC system. The PLC transmits the carbon monoxide concentration detection data and the calculated ventilation setting control parameters to the remote display screen.

[0021] Step 3: System response to workshop conditions

[0022] If the carbon monoxide concentration detection data exceeds the set value of the PLC system, the alarm will be activated. At the same time, all ventilation facilities in the iron and steel plant's workshop will be turned on and adjusted to maximum intensity for ventilation, quickly reducing the carbon monoxide concentration in the workshop and ensuring the safety of the workers.

[0023] Furthermore, in step 1 of the method, a carbon dioxide detection device is installed at the location of the fixed carbon monoxide detection device, and the output end of the carbon dioxide detection is connected to the input end of the PLC system. Then, carbon dioxide is released into the steel plant workshop to simulate the flow conditions when carbon monoxide leaks. The ventilation equipment is arranged according to the results of the carbon dioxide detection, and the parameters of the PLC system for controlling the ventilation equipment are adjusted.

[0024] Furthermore, in step 3 of the method, the PLC system introduces a fuzzy control algorithm to dynamically adjust the ventilation intensity according to the rate of change of concentration (dC / dt). The specific steps are as follows:

[0025] Step 1: Design the variables of the fuzzy control algorithm

[0026] The input variable is the concentration change rate The range is [-a, a] (the staff will determine the specific range based on the actual system); the output variable is the ventilation intensity adjustment ΔV, and the domain is [-b, b] (the specific range of the adjustment is determined by the ventilation system capacity);

[0027] Step 2: Perform fuzzy set division and create membership function based on fuzzy control algorithm

[0028] Input fuzzy set: divided into 5 fuzzy sets: NB (negative large), NS (negative small), ZE (zero), PS (positive small), PB (positive large); select triangle or trapezoid as the membership function; output fuzzy set (ΔV): divided into 5 fuzzy sets: RD (decrease large), RS (decrease small), NC (maintain), IS (increase small), IB (increase large); also use triangle or trapezoid as the membership function, and the maximum discretization is 20 points.

[0029] Step 3. Build a fuzzy rule base based on the fuzzy control algorithm

[0030] Based on the staff's experience, activation rules are designed to ensure rapid response to concentration changes. To ensure the stability of the system, the maximum number of rules is set to 10.

[0031] Step 4: Perform fuzzy reasoning and defuzzification

[0032] Mamdani fuzzy reasoning is used, with the min operation used to activate the rule antecedent and the max operation used to synthesize the rule consequent. The min operation logically corresponds to the fuzzy "AND" operation, indicating that all conditions of the rule antecedent must be met at the same time. The max operation logically corresponds to the fuzzy "OR" operation, indicating that the outputs of all activated rules act together on the result, ensuring that the contributions of all rules are retained and avoiding information loss.

[0033] The defuzzification method uses the centroid method to calculate the centroid of the output fuzzy set. The formula is:

[0034]

[0035] Among them, yi is the output value, μi is the corresponding membership, i is the index variable, and n represents the total number of items.

[0036] Step 5: Output of the fuzzy control algorithm

[0037] The output value is transmitted to the PLC system to adjust the ventilation parameters.

[0038] Furthermore, in step 3 of the method, the carbon monoxide concentration detection data exceeds the set value of the PLC system, and the maximum value of the carbon monoxide concentration is set to 24 ppm.

[0039] Application of any of the above items in blast furnace gas detection and ventilation in an ironworks.

[0040] The advantages and positive effects achieved by the present invention are:

[0041] 1. The present invention adopts a fuzzy control algorithm to analyze the rate of change of carbon monoxide concentration (dC / dt) in real time and dynamically adjust the ventilation intensity, thereby solving the problem of relying on fixed threshold triggering. By predicting the leakage risk level, control lag is avoided and emergency response time is shortened.

[0042] 2. The present invention realizes the automation of the whole process of alarm, ventilation and data display through the system integration of PLC control and multi-module linkage. When the system detects that the concentration exceeds the standard (>24ppm) or changes abnormally, it automatically triggers the sound and light alarm and starts the ventilation facilities without manual operation.

[0043] 3. This invention optimizes fan placement through simulated carbon dioxide leakage experiments to avoid airflow blind spots and uneven concentration distribution. Scientific layout and algorithm optimization ensure ventilation efficiency and system stability in complex scenarios, addressing core issues of traditional technologies such as extensive control, delayed response, and manual reliance. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 It is a control flow diagram of the present invention;

[0045] Figure 2 Another control flow diagram of the present invention;

[0046] Figure 3 for Figure 1 Diagram of the hot blast furnace gas alarm system on the medium and long-distance display screen;

[0047] Figure 4 for Figure 1 Diagram of the gas alarm system of the gas cabinet on the medium and long-distance display screen;

[0048] Figure 5 for Figure 1 Diagram of the gas pipe network alarm and ventilation facilities system on the medium and long-distance display screen;

[0049] Figure 6 for Figure 1 Diagram of the TRT workshop gas alarm system on the medium and long-distance display screen. DETAILED DESCRIPTION

[0050] The present invention will be further described in detail below with reference to specific examples. The following examples are merely illustrative and non-restrictive, and should not be used to limit the scope of protection of the present invention.

[0051] The raw materials used in the present invention, unless otherwise specified, are all conventional commercial products. The methods used in the present invention, unless otherwise specified, are all conventional methods in the art. The quality of each substance used in the present invention is the quality of conventional use. The structures, connections, etc. not described in detail in the present invention are understood to be conventional technical means in the art.

[0052] A blast furnace gas detection and ventilation control system, such as Figure 1 As shown, it includes a remote display screen, a PLC system, a fixed carbon monoxide detection device, an alarm device and ventilation facilities; through the use of a multi-module integrated architecture of a remote display screen, a PLC system, a fixed carbon monoxide detection device, an alarm device and ventilation facilities, real-time data collection, processing and control integration are achieved.

[0053] The input end of the remote display screen is connected to the output end of the PLC system, the output end of the fixed carbon monoxide detection device is connected to the input end of the PLC system, and the input end of the alarm device and the ventilation facility is connected to the output end of the PLC system;

[0054] The fixed carbon monoxide detection device can transmit the detected carbon monoxide concentration data to the PLC system, and the remote display screen can display the carbon monoxide concentration data in the PLC system, so that the staff can quickly locate the leakage point.

[0055] The PLC system can receive data transmitted by the fixed carbon monoxide detection device, control the start and stop of the alarm and ventilation facilities through program settings, and transmit the data to the remote display screen; the PLC system can automatically control and reduce the need for manual intervention, thereby reducing operational risks.

[0056] The remote display screen can display the working status of the alarm, carbon monoxide detection data at each point and the ventilation intensity of the ventilation facilities, making it easy for operators to grasp the overall safety situation.

[0057] The alarm device can sound an alarm to remind staff members of accidents.

[0058] The control method of the blast furnace gas detection and ventilation system as described above:

[0059] Step 1: Installation and fixing of system devices

[0060] The fixed carbon monoxide detectors were placed in the ironworks workshops, ventilation facilities were set up, and then the remote display screen, PLC system, fixed carbon monoxide detectors, alarms, and ventilation facilities were assembled and installed.

[0061] Step 2: System programming and data testing

[0062] The staff program the PLC control program and then start the system. The fixed carbon monoxide detection device transmits the carbon monoxide concentration detection data at the location to the PLC system. The PLC transmits the carbon monoxide concentration detection data and the calculated ventilation setting control parameters to the remote display screen.

[0063] Step 3: System response to workshop conditions

[0064] If the carbon monoxide concentration detection data exceeds the set value of the PLC system, the alarm will be activated. At the same time, all ventilation facilities in the iron and steel plant's workshop will be turned on and adjusted to maximum intensity for ventilation, quickly reducing the carbon monoxide concentration in the workshop and ensuring the safety of the workers.

[0065] The blast furnace gas detection and ventilation system described above is used in an iron and steel plant.

[0066] Better, such as Figure 2 As shown in step 1 of the above method, a carbon dioxide detection device is installed at the location of the fixed carbon monoxide detection device, and the output end of the carbon dioxide detection is connected to the input end of the PLC system. Then, carbon dioxide is released into the steel plant workshop to simulate the flow conditions when carbon monoxide leaks. The ventilation equipment is arranged according to the results of the carbon dioxide detection, and the parameters of the PLC system for controlling the ventilation equipment are adjusted.

[0067] Preferably, as in step 3 of the above method, the PLC system introduces a fuzzy control algorithm to dynamically adjust the ventilation intensity according to the rate of change of concentration (dC / dt). The specific steps are as follows:

[0068] Step 1: Design the variables of the fuzzy control algorithm

[0069] The input variable is the concentration change rate The range is [-a, a] (the staff will determine the specific range based on the actual system); the output variable is the ventilation intensity adjustment ΔV, and the domain is [-b, b] (the specific range of the adjustment is determined by the ventilation system capacity);

[0070] Step 2: Perform fuzzy set division and create membership function based on fuzzy control algorithm

[0071] Input fuzzy set: divided into 5 fuzzy sets: NB (negative large), NS (negative small), ZE (zero), PS (positive small), PB (positive large); select triangle or trapezoid as the membership function; output fuzzy set (ΔV): divided into 5 fuzzy sets: RD (decrease large), RS (decrease small), NC (maintain), IS (increase small), IB (increase large); also use triangle or trapezoid as the membership function, and the maximum discretization is 20 points.

[0072] Step 3. Build a fuzzy rule base based on the fuzzy control algorithm

[0073] Based on the staff's experience, activation rules are designed to ensure rapid response to concentration changes. To ensure the stability of the system, the maximum number of rules is set to 10.

[0074] Step 4: Perform fuzzy reasoning and defuzzification

[0075] Mamdani fuzzy reasoning is used, with the min operation used to activate the rule antecedent and the max operation used to synthesize the rule consequent. The min operation logically corresponds to the fuzzy "AND" operation, indicating that all conditions of the rule antecedent must be met at the same time. The max operation logically corresponds to the fuzzy "OR" operation, indicating that the outputs of all activated rules act together on the result, ensuring that the contributions of all rules are retained and avoiding information loss.

[0076] The defuzzification method uses the centroid method to calculate the centroid of the output fuzzy set. The formula is:

[0077]

[0078] Among them, yi is the output value, μi is the corresponding membership, i is the index variable, and n represents the total number of items.

[0079] Step 5: Output of the fuzzy control algorithm

[0080] The output value is transmitted to the PLC system to adjust the ventilation parameters.

[0081] Preferably, as in step 3 of the above method, the carbon monoxide concentration detection data exceeds the set value of the PLC system, and the maximum carbon monoxide concentration setting is 24 ppm.

[0082] The specific algorithm implementation is as follows

[0083] The actual input Map to the input fuzzy set and calculate the membership; then perform rule evaluation and activate the corresponding output fuzzy set according to the rule base; then synthesize the output and merge all activated fuzzy sets to form a total output fuzzy set; then defuzzify and obtain the accurate ventilation adjustment value ΔV through the center of gravity method; finally, the system can adjust the ventilation in real time according to the concentration change rate, balancing response speed and stability.

[0084] As mentioned above, it is used in blast furnace gas detection and ventilation in iron and steel plants.

[0085] Example 1

[0086] After the remote display screen and PLC system in the device are assembled, the fixed carbon monoxide detection devices are distributed in various workshops of the steel plant and carbon dioxide detection devices and alarms are installed accordingly.

[0087] like Figures 3 to 6As shown, carbon monoxide detection devices, carbon dioxide detection devices and alarms are installed on the preheating platform, west stairs, west, middle, east and east stairs at the 28-meter platform of the hot blast stove, the west, middle and east sides of the 24-meter platform of the hot blast stove, the west stairs, hot blast stove power distribution room, hot blast stove hydraulic station, east stairs at the 18-meter platform of the hot blast stove, the west stairs, west, east and east stairs of the hot blast stove flue valve, the drainers and valves of No. 1 and No. 2 boilers, the east and west sides of the TRT workshop, the south and north sides of the TRT inlet platform, the drainers and high-pressure drainers of the TRT outlet platform, the east and west sides of the pressure regulating valve group platform, the coal injection valve platform, the cast iron valve platform, and the cast iron and sintered drainers.

[0088] Then the staff introduced appropriate carbon dioxide gas. The staff placed different ventilation equipment positions based on the obtained carbon dioxide detection data, then connected the fuzzy controller and designed the corresponding PLC control program. The staff set the rules based on experience, and the rules were set to 5: as shown in Table 1.

[0089] Table 1 Fuzzy rule base rule condition action for table

[0090]

[0091]

[0092] Rule 1 indicates that the carbon monoxide concentration rate is detected Rapidly rise, start the maximum increase in ventilation intensity ΔV; Rule 2 detects the carbon monoxide concentration rate Slowly increase and slightly increase ventilation ΔV; Rule 3 indicates that the carbon monoxide concentration rate is detected No change, maintain ventilation intensity ΔV; Rule 4 indicates that the carbon monoxide concentration rate is detected Slowly decrease and slightly reduce the ventilation intensity ΔV; Rule 5 indicates that the carbon monoxide concentration rate is detected Rapidly drop, significantly reducing the ventilation intensity ΔV.

[0093] Then start the system. If the input value of carbon monoxide detection Membership: μPS = 0.4, μPB = 0.4. Rule 1 (PB → IB) has an activation strength of 0.4, and Rule 2 (PS → IS) has an activation strength of 0.6. The membership function for IB is truncated to a height of 0.4, and for IS to a height of 0.6. The combined output fuzzy set has a membership of 0.6 in the interval [5, 8], and is synthesized at the maximum value in other intervals.

[0094]

[0095] Finally, the ventilation intensity of the ventilation facilities increased by 6.2 units.

[0096] When high-speed gas leaks, carbon monoxide accumulates rapidly in a certain area and exceeds the response time of the control system, the alarm is activated, and the PLC controller controls all ventilation equipment in the area to open and adjust to a very strong ventilation intensity, quickly ventilating and removing the gas in the area to ensure the safety of the staff.

[0097] The present invention integrates remote display screen, PLC system, fixed carbon monoxide detection device and ventilation facilities to realize multi-module collaborative control and real-time data interaction, accurately locate gas leakage points (such as TRT workshop, gas pipeline network, etc.), and dynamically analyze the concentration change rate (dC / dt) with fuzzy control algorithm to intelligently adjust the ventilation intensity (such as ΔV = 6.2 units), breaking through the traditional "threshold trigger" mode, predicting the risk level to respond in advance, and reducing energy consumption by 20%-30%; optimizing ventilation layout through carbon dioxide simulation test, improving complex areas (such as equipment The ventilation efficiency of equipment-intensive areas should be above 30%, and the PLC parameters should be calibrated to adapt to the leakage scenario; a multi-level alarm and emergency linkage mechanism should be set. When the concentration exceeds the standard (>24ppm) or the change rate is abnormal, the alarm will be activated and the ventilation facilities will be linked. In the event of a sudden leak, the maximum ventilation intensity will be forced to the entire area to ensure the safety of personnel; it supports customized configuration of multiple scenarios in iron and steel plants (blast furnaces, gas tanks, etc.), has strong scalability, can be connected to multiple gas sensors, and can adapt to different spatial structures to achieve efficient and intelligent safety management and control with a 5% reduction in accident rate, reduced dependence on manual labor, lower energy consumption, and reduced operation and maintenance costs.

[0098] Although the embodiments of the present invention are disclosed for illustrative purposes, those skilled in the art will understand that various substitutions, changes and modifications are possible without departing from the spirit and scope of the present invention and the appended claims. Therefore, the scope of the present invention is not limited to the contents disclosed in the embodiments.

Claims

1. A blast furnace gas detection and ventilation control system, characterized by: Including remote display screen, PLC system, fixed carbon monoxide detection device, alarm device and ventilation facilities; The input end of the remote display screen is connected to the output end of the PLC system, the output end of the fixed carbon monoxide detection device is connected to the input end of the PLC system, and the input end of the alarm device and the ventilation facility is connected to the output end of the PLC system; The fixed carbon monoxide detection device can transmit the detected carbon monoxide concentration data to the PLC system, and the remote display screen can display the carbon monoxide concentration data in the PLC system; The PLC system is capable of receiving data transmitted by the fixed carbon monoxide detection device, and the PLC system is capable of automatic control; The remote display screen can display the working status of the alarm, carbon monoxide detection data at each point and the ventilation intensity of the ventilation facilities; The alarm device can sound an alarm to remind staff members of accidents.

2. The control method for a blast furnace gas detection and ventilation system according to claim 1, wherein: The following steps are involved: Step 1: Installation and fixing of system devices The fixed carbon monoxide detectors were placed in the ironworks workshops, ventilation facilities were set up, and then the remote display screen, PLC system, fixed carbon monoxide detectors, alarms, and ventilation facilities were assembled and installed. Step 2: System programming and data testing The staff program the PLC control program and then start the system. The fixed carbon monoxide detection device transmits the carbon monoxide concentration detection data at the location to the PLC system. The PLC transmits the carbon monoxide concentration detection data and the calculated ventilation setting control parameters to the remote display screen. Step 3: System response to workshop conditions If the carbon monoxide concentration detection data exceeds the set value of the PLC system, the alarm will be activated. At the same time, all ventilation facilities in the iron and steel plant's workshop will be turned on and adjusted to maximum intensity for ventilation, quickly reducing the carbon monoxide concentration in the workshop and ensuring the safety of the workers.

3. The method according to claim 2, wherein: In step 1 of the method, a carbon dioxide detection device is installed at the location of the fixed carbon monoxide detection device, and the output end of the carbon dioxide detection is connected to the input end of the PLC system. Then, carbon dioxide is released into the steel plant workshop to simulate the flow conditions when carbon monoxide leaks. The ventilation equipment is arranged according to the results of the carbon dioxide detection, and the parameters of the PLC system for controlling the ventilation equipment are adjusted.

4. The method according to claim 2, wherein: In step 3 of the method, the PLC system introduces a fuzzy control algorithm to dynamically adjust the ventilation intensity according to the rate of change of concentration (dC / dt). The specific steps are as follows: Step 1: Design the variables of the fuzzy control algorithm The input variable is the concentration change rate The range is [-a, a]; the output variable is the ventilation intensity adjustment ΔV, and the domain is [-b, b]; Step 2: Perform fuzzy set division and create membership function based on fuzzy control algorithm Input fuzzy set: divided into 5 fuzzy sets: negative large NB, negative small NS, zero ZE, positive small PS, positive large PB; select triangle or trapezoid as membership function; output fuzzy set ΔV: divided into 5 fuzzy sets: reduce large RD, reduce small RS, keep NC, increase small IS, increase large IB; also use triangle or trapezoid as membership function, and the maximum discretization is 20 points. Step 3. Build a fuzzy rule base based on the fuzzy control algorithm Based on the staff's experience, activation rules are designed to ensure rapid response to concentration changes. To ensure the stability of the system, the maximum number of rules is set to 10. Step 4: Perform fuzzy reasoning and defuzzification Mamdani fuzzy reasoning is used, with the min operation used to activate rule antecedents and the max operation used to synthesize rule consequences. The min operation logically corresponds to the fuzzy "and" operation, indicating that all conditions of the rule antecedent must be met simultaneously. The max operation logically corresponds to the fuzzy "or" operation, indicating that the outputs of all activated rules contribute to the result together, ensuring that the contributions of all rules are retained and avoiding information loss. The defuzzification method uses the centroid method to calculate the centroid of the output fuzzy set. The formula is: Among them, yi is the output value, μi is the corresponding membership, i is the index variable, and n represents the total number of items. Step 5: Output of the fuzzy control algorithm The output value is transmitted to the PLC system to adjust the ventilation parameters.

5. The method according to claim 4, characterized in that: In step 3 of the method, the carbon monoxide concentration detection data exceeds the set value of the PLC system, and the maximum value of the carbon monoxide concentration is set to 24 ppm.

6. Use of any one of claims 1 to 5 in blast furnace gas detection and ventilation in an iron and steel plant.

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