A mine high-temperature mining working face integrated dust removal-cooling system and method

Abstract

The application discloses a kind of mine high-temperature mining working face integration dust removal-cooling system and method, including sensor monitoring device, fuzzy PID control device and dust removal cooling device;The pressure air injection unit of dust removal cooling device absorbs high-temperature dust-containing airflow in the environment into the system first, and then carries out primary dust removal in humidification growth unit, secondly carries out cold mist dust setting and secondary dust removal in cold mist dust setting unit, and finally carries out airflow purification and tertiary dust removal in dust filtering and mist eliminating unit;In addition, sensor monitoring device is used to collect environmental monitoring data in real time, and feedback to fuzzy PID control device for processing, when any monitoring data deviates from the environmental parameters set by the system, the working condition of dust removal cooling device can be self-adaptively regulated, and then the high-temperature mining working face under different environmental parameters is continuously dusted and cooled, to realize efficient and collaborative management of dust and heat damage of mine high-temperature mining working face.The application has the advantages of less dust escape, high dust removal-cooling efficiency and low energy consumption.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of mine dust and heat damage cooperative management, in particular to a mine high-temperature mining working face integrated dust removal-cooling system and method. BACKGROUND

[0002] With the continuous development of technology, the degree of mechanization of coal mining is constantly improving, and the depth of mine exploitation is constantly deepening, resulting in increased dust production and increased operating environment temperature in the coal mine. High dust and high temperature environment not only seriously endanger the health of mine workers, but also greatly reduce production efficiency and increase the incidence of production accidents, becoming one of the main factors restricting mine safety production. According to the Coal Mine Safety Regulations, the dust concentration in the air of the operating place should meet the following standards: (1) when the content of free silicon dioxide in the dust is <10%, the maximum allowable concentration of total dust is 10mg / m 3 , and the maximum allowable concentration of respirable dust is 3.5mg / m 3 ; (2) when the content of free silicon dioxide in the dust is ≥10%, the maximum allowable concentration of total dust is 2mg / m 3 , and the maximum allowable concentration of respirable dust is 1mg / m 3 . At the same time, it is stipulated that the air temperature of the mining working face of the production mine shall not exceed 26℃, and the air temperature of the mechanical and electrical chamber shall not exceed 30℃, when the air temperature exceeds, the working time of the workers at the over-temperature site must be shortened, and the high-temperature health care treatment must be given. When the air temperature of the mining working face exceeds 30℃, and the air temperature of the mechanical and electrical chamber exceeds 34℃, work must be stopped. Therefore, dust removal and cooling measures must be taken for mines with dust concentration exceeding the limit and high environmental temperature.

[0003] The current common method for dust removal in the mine is water mist dust removal and ventilation dust removal. In the existing heat treatment methods, the most common method is to strengthen ventilation, refrigeration cooling, air conditioning cooling, etc. Strengthening ventilation needs to increase the airway in the mine, which not only increases the cost, but also easily affects the mine ventilation network, causing adverse effects. Refrigeration cooling commonly has refrigeration water cooling, ice cooling, and air compression refrigeration. No matter which cooling measure has the disadvantages of high cost and high energy consumption. Air conditioning cooling will generate a large engineering cost, and the cooling effect is difficult to cover the whole range of the underground mining working face. In view of the constraints and influences between the dust removal measures and the cooling measures, and to reduce the engineering cost, in recent years, people no longer separate the dust removal and the cooling, but regard the dust removal and the cooling as a common technical target, and develop a new type of combined dust removal-cooling control measure. CN110327726A discloses an integrated dust suction device, which can separate the dust in the air from the clean air. However, since there is no refrigeration device, and the fan motor in the device operates to generate heat, the cooling work in the high-temperature mining working face cannot be carried out. CN109091992A discloses an air filter, which sucks the working face gas into a humidifying serpentine pipeline and discharges it out of the system after being cooled by the filter device and the refrigeration sheet, so as to realize cooling, dehumidification and dust removal. However, the refrigeration sheet of the system will accumulate a large amount of dust for a long time, which will affect the cooling effect and need to be regularly cleaned and maintained, and it is difficult to adapt to the working conditions of the high-temperature mining working face in the mine. In addition, since the dust and temperature conditions in the high-temperature dust-containing working face are constantly changing, and the above-mentioned device does not have an intelligent control function, it cannot adjust the strength of cooling and dust removal in real time according to the environmental changes, and cannot realize the continuous dust removal and cooling of the air environment in the high-temperature mining working face.

[0004] In summary, the existing combined dust removal-cooling technology for the high-temperature mining working face in the mine still has the problems of poor adaptability, low automation degree and high cost. Therefore, it is urgent to develop a high-efficiency integrated self-adaptive dust removal-cooling method and equipment which has strong adaptability, is relatively intelligent and has low cost. SUMMARY

[0005] In view of the problems existing in the above-mentioned prior art, the present application provides a mine high-temperature mining working face integrated dust removal-cooling system and method, which can remove dust and cool the air environment in the mine high-temperature mining working face, and can adjust the strength of cooling and dust removal in real time according to the changes of the air environment in the high-temperature mining working face, so as to realize the continuous cooling and dust removal of the high-temperature mining working face under different conditions, and all can achieve the required effect.

[0006] In order to achieve the above-mentioned purpose, the technical scheme adopted by the present application is: a mine high-temperature mining working face integrated dust removal-cooling system, comprising a sensor monitoring device, a fuzzy PID control device and a dust removal and cooling device.

[0007] The dust removal and cooling device comprises a compressed air ejector unit, a humidification growth unit, a cold mist dust removal unit and a dust filtration and mist elimination unit. The compressed air ejector unit comprises an air inlet pipe, a flow collector and a ring-shaped combined ejector. The flow collector is arranged at one end of the air inlet pipe and used to collect the surrounding high-temperature dust-containing air flow and then flow into the air inlet pipe. The ring-shaped combined ejector is arranged in the air inlet pipe and its jet direction is towards the other end of the air inlet pipe. The air inlet of the ring-shaped combined ejector is connected with the underground air supply pipeline through a first air pipe. A first electromagnetic valve is arranged on the first air pipe and used to control the opening and closing of the first air pipe. The high-pressure gas ejected by the ring-shaped combined ejector forms a negative pressure in the air inlet pipe, thereby guiding the high-temperature dust-containing air flow to enter from one end of the air inlet pipe. The humidification growth unit comprises a first cavity and a humidifier. One end of the first cavity is connected with the other end of the air inlet pipe and used to make the high-temperature dust-containing air flow enter. The humidifier is arranged in the first cavity and the water inlet of the humidifier is connected with the underground water supply pipeline through a first water pipe. A second electromagnetic valve is arranged on the first water pipe and used to control the opening and closing of the first water pipe. The first cavity is continuously humidified by the humidifier to form a water oversaturation environment, so that the dust particles in the high-temperature dust-containing air flow continuously grow, coagulate and settle in the environment. The cold mist dust removal unit comprises a second cavity, a cold water machine and a plurality of nozzles. One end of the second cavity is connected with the other end of the first cavity and used to introduce the air flow processed in the first cavity. The plurality of nozzles are arranged in the second cavity and connected with a cold mist pipeline. The cold water machine is arranged outside the second cavity. The water inlet of the cold water machine is connected with the underground water supply pipeline through a second water pipe, so that the water in the underground water supply pipeline enters the cold water machine to be cooled to form low-temperature water. A three-way joint is arranged at one end of the cold mist pipeline. Two ports of the three-way joint are connected with the underground air supply pipeline and the water outlet of the cold water machine through pipelines. A third electromagnetic valve is arranged between the three-way joint and the underground air supply pipeline and used to control the opening and closing of the three-way joint and the underground air supply pipeline. A fourth electromagnetic valve is arranged on the second water pipe and used to control the opening and closing of the second water pipe. The high-pressure gas in the underground air supply pipeline and the low-temperature water generated by the cold water machine are mixed in the cold mist pipeline through the three-way joint and then sprayed out from the nozzles in the form of low-temperature gas-water cold mist, so as to cool and dust again the air flow in the second cavity. A pressure regulating valve is arranged on the cold mist pipeline and used to control the pressure of the low-temperature gas-water cold mist sprayed out from the nozzles. The dust filtration and mist elimination unit comprises a third cavity and a filter device. One end of the third cavity is connected with the other end of the second cavity and used to introduce the air flow processed in the second cavity. A blow-off port is arranged at the bottom of the third cavity. The filter device is arranged in the third cavity and covers a certain cross section of the third cavity. The filter device filters and removes dust and absorbs moisture from the passing air flow, and then makes the air flow discharged from the other end of the third cavity.

[0008] The sensor monitoring device includes a laser particle size sensor, a dust concentration sensor, and a temperature sensor. The laser particle size sensor is installed in the first cavity and is used to monitor the growth diameter of dust particles in the first cavity. The dust concentration sensor and the temperature sensor are installed in the surrounding environment and are used to monitor the ambient dust concentration and ambient temperature, respectively.

[0009] The fuzzy PID control device is connected to a laser particle size sensor, a dust concentration sensor, a temperature sensor, a first solenoid valve, a second solenoid valve, a third solenoid valve, a fourth solenoid valve, a pressure regulating valve, a chiller, and a humidifier. It is used to control the first solenoid valve, the second solenoid valve, the third solenoid valve, the fourth solenoid valve, the chiller, and the humidifier to start dust removal and cooling. After receiving and analyzing the data fed back from the laser particle size sensor, the dust concentration sensor, and the temperature sensor, it adjusts the power of the humidifier and the temperature of the low-temperature water generated by the chiller through the power converters of the humidifier and the chiller, respectively. At the same time, it adjusts the pressure of the low-temperature air-water cooling mist by controlling the pressure regulating valve.

[0010] Furthermore, the filtration device consists of multiple filter layers; a first filter is installed on the first air pipe, a second filter is installed on the first water pipe, a third filter is installed between the tee joint and the underground air supply pipeline, and a fourth filter is installed on the second water pipe. By setting multiple filter layers, the adsorption and purification effect on the final discharged airflow can be guaranteed. Moreover, the addition of multiple filters can prevent impurities contained in the underground air supply pipeline and underground water supply pipeline from entering the system with the gas or water, ensuring the stable operation of the cooling and dust removal system.

[0011] Furthermore, the air inlet duct, the first cavity, the second cavity, and the third cavity are all coaxially connected in sequence, which facilitates the smooth flow of air to achieve cooling and dust removal.

[0012] The working method of the integrated dust removal and cooling system for the high-temperature mining face in the above-mentioned mine is as follows:

[0013] Step 1: Install the integrated dust removal and cooling system on the return air or downwind side of the high-temperature mining face requiring dust removal and cooling. Activate the first, second, third, and fourth solenoid valves, the chiller, and the humidifier. The high-temperature, dust-laden airflow from the surrounding environment is drawn in by the negative pressure of the pressurized air ejector unit. This airflow first enters the supersaturated environment created by the humidification and growth unit, causing the dust particles it contains to continuously grow, coalesce, and settle in this environment. Under gravity, some of the dust particles also settle, achieving primary dust removal. The airflow after primary dust removal enters the cold mist dust suppression unit, where multiple nozzles continuously spray high-pressure airflow and low-temperature... The ultrafine cold mist formed by the combined action of warm water flow mixes with the airflow in the cold mist dust removal unit, undergoes heat exchange and evaporation, thereby cooling the airflow. At the same time, dust agglomerates further grow and coalesce in this environment, and the dust agglomerates are also settled during the collision and interception of the mist droplets, achieving cooling and secondary dust removal. After cooling and secondary dust removal, the airflow finally enters the dust filtration and defogging unit, where the filtration device adsorbs and filters the remaining dust particles and cold mist droplets in the airflow, achieving airflow purification and tertiary dust removal. Finally, the low-temperature and purified airflow is discharged from the dust filtration and defogging unit to remove dust and cool the air environment in the high-temperature mining face.

[0014] Step 2: During the operation of the integrated dust removal-cooling system, the laser particle size sensor, dust concentration sensor and temperature sensor in the sensor monitoring device monitor the dust particle growth diameter D, the environmental dust concentration C and the environmental temperature T in the humidification growth unit in real time and feed the data back to the fuzzy PID control device.

[0015] Step 3: When any monitoring data deviates from the ideal value set by the system, the fuzzy PID control device determines the error e between the dust particle growth diameter D, the ambient dust concentration C at the high-temperature mining face, and the ambient temperature T, and the ideal value. D e C e T and the rate of change of error ε D ε C ε T Next, fuzzification is performed, and fuzzy inference is conducted based on the total fuzzy rule R* in the knowledge base. Finally, defuzzification is performed to obtain the incremental values ​​of the proportion, integral, and differential factors of the PID algorithm corresponding to the dust particle growth diameter D, the environmental dust concentration C of the high-temperature mining face, and the environmental temperature T, respectively, which are ΔK. pD ΔK iD ΔK dD ΔK pC ΔK iC ΔK dC ΔK pT ΔK iT ΔK dTThen, by superimposing the weighted average value with the value of the previous period into the fuzzy PID control device, the output values ​​D(t), C(t), and T(t) of the environmental variables at that moment are obtained. Subsequently, the fuzzy PID control device adjusts the humidifier power, cold mist pressure, and chiller power based on the built-in conversion program between the environmental variables D, C, and T and the humidifier output power p1, cold mist output pressure P, and chiller output power p2, thereby achieving adaptive control of the dust removal and cooling device.

[0016] Step 4: When the fuzzy PID control device performs adaptive adjustment based on the input monitoring data, the sensor monitoring device continuously feeds back the changes in dust particle growth diameter D, environmental dust concentration C, and ambient temperature T at the high-temperature mining face to the fuzzy PID control device in real time. The fuzzy PID control device continues to repeat the adjustment process of Step 3 until the dust particle growth diameter D, environmental dust concentration C, and ambient temperature T at the high-temperature mining face all reach their respective ideal values. At this time, the fuzzy PID control device stops the adjustment process and maintains the current state of the dust removal and cooling device. The sensor monitoring device continues to perform real-time monitoring and feeds back the monitoring data to the fuzzy PID control device, thereby achieving continuous dust removal and cooling of the air environment at the high-temperature mining face.

[0017] Furthermore, the knowledge base includes a database and a rule base, wherein the database includes membership functions of input values ​​and output increments, and the rule base includes a total fuzzy rule R* given based on expert knowledge and operational experience.

[0018] Furthermore, the specific process in step three is as follows: First, the errors e between the dust particle growth diameter D, the environmental dust concentration C at the high-temperature mining face, and the environmental temperature T and their ideal values ​​are calculated. D e C e T and the rate of change of error ε D ε C ε T After quantification factor After fuzzification, the result is converted into a universe of discourse value. Fuzzy inference is performed using the Mamdni method, merging the membership matrices for the errors and error change rates corresponding to the dust particle growth diameter D, the environmental dust concentration C at the high-temperature mining face, and the environmental temperature T, respectively. These matrices are then combined with the total fuzzy rule R* in the rule base. The result is then reflected in the output membership function, and the universe of discourse value for the fuzzy subset corresponding to the output value is obtained using the maximum membership averaging method. Finally, this universe of discourse value is calculated based on the scaling factor K. u Convert to output value ΔK pD ΔK iD ΔK dD ΔK pC ΔK iC ΔKdC ΔK pT ΔK iT ΔK dT Thus, the incremental values ​​of the proportion, integral, and differential factors of the PID algorithm corresponding to the dust particle growth diameter D, the environmental dust concentration C of the high-temperature mining face, and the environmental temperature T are obtained.

[0019] Based on the above output value, the value from the previous cycle is superimposed using a weighted average method and substituted into the fuzzy PID control device to obtain the updated K. pD K iD K dD K pC K iC K dC K pT K iT K dT The value;

[0020] The PID calculation is performed using the following formula:

[0021]

[0022] The output values ​​of environmental variables D(t), C(t), and T(t) at that moment are obtained through the above calculations. Then, the fuzzy PID control device adjusts the humidifier power, cold mist pressure, and chiller power based on the built-in conversion model between the environmental variables D, C, and T and the output power p1 of the humidifier, the output pressure p of the cold mist, and the output power p2 of the chiller, thereby achieving adaptive control of the dust removal and cooling device.

[0023] Compared with existing technologies, the present invention combines a sensor monitoring device, a fuzzy PID control device, and a dust removal and cooling device, which has the following advantages:

[0024] 1. In this invention, the dust removal and cooling device draws in the high-temperature dust-laden airflow from the surrounding environment, and then sequentially passes it through the primary dust removal of the humidification and growth unit, the cold mist cooling and secondary dust removal of the cold mist dust removal unit, and the airflow purification and tertiary dust removal of the dust filtration and defogging unit. This process simultaneously cools and removes dust from the high-temperature dust-laden airflow, giving it the advantages of low dust escape, high dust removal-cooling efficiency, low water consumption, and low energy consumption.

[0025] 2. In this invention, a sensor monitoring device is used to collect the required environmental data in real time during the operation of the cooling and dust removal device, and feed it back to the fuzzy PID control device. The fuzzy PID control device introduces the fuzzy PID control method, which analyzes and processes the environmental data. If any monitoring data deviates from the ideal value set by the system, the corresponding control parameters are obtained, and the power of the humidifier, the cold mist pressure, and the power of the chiller are adjusted according to the control parameters to achieve adaptive control of the dust removal and cooling device. Thus, when the air environment of the underground working face changes, the system of this invention can adaptively adjust the intensity of cooling and dust removal in real time, thereby achieving continuous cooling and dust removal under different conditions of high-temperature mining working face, and achieving the required effect in all cases. The entire adaptive control process not only has strong anti-interference ability, but also reduces the dependence of equipment parameter adjustment on humans, and has the advantages of strong adaptability and high degree of automation.

[0026] 3. In this invention, the high-pressure gas used by the compressed air ejector unit to generate negative pressure and the cold mist used by the cold mist dust suppression unit both come from the underground air supply pipeline. The water required for the cold mist in the cold mist dust suppression unit and the humidification in the humidification growth unit both come from the underground water supply pipeline. There is no need to lay separate air supply and water supply pipelines, which is convenient for installation and use. Moreover, it can achieve efficient entrainment of dust-laden high-temperature airflow without consuming electricity, which effectively reduces the overall energy consumption of the system and improves the inherent safety of the system. Attached Figure Description

[0027] Figure 1 This is an overall flowchart of the working method in this invention;

[0028] Figure 2 This is a schematic diagram of the overall structure of the integrated dust removal and cooling system in this invention.

[0029] In the diagram: 1. Compressed air ejector unit; 2. Humidification and growth unit; 3. Cold mist dust suppression unit; 4. Dust filtration and demisting unit; 5. Collector; 6. Annular combined ejector; 7. First solenoid valve; 8. First filter; 9. Humidifier; 10. Second solenoid valve; 11. Second filter; 12. Nozzle; 13. Third solenoid valve; 14. Third filter; 15. Chiller; 16. Fourth solenoid valve; 17. Fourth filter; 18. Filtering device; 19. Drain outlet; 20. Fuzzy PID control device; 21. Laser particle size sensor; 22. Dust concentration sensor; 23. Temperature sensor; 24. Humidifier power converter; 25. Chiller power converter; 26. Pressure regulating valve. Detailed Implementation

[0030] The present invention will be further described below.

[0031] like Figure 2As shown, an integrated dust removal and cooling system for high-temperature mining faces includes a sensor monitoring device, a fuzzy PID control device, and a dust removal and cooling device.

[0032] The dust removal and cooling device includes a compressed air ejector unit 1, a humidification and growth unit 2, a cold mist dust suppression unit 3, and a dust filtration and demisting unit 4. The compressed air ejector unit 1 includes an air inlet duct, a collector 5, and an annular combined ejector 6. The collector 5 is installed at one end of the air inlet duct to collect the surrounding high-temperature dust-laden airflow and allow it to flow into the air inlet duct. The annular combined ejector 6 is installed inside the air inlet duct, with its spray direction facing the other end of the air inlet duct. The air inlet of the annular combined ejector 6 is connected to the downhole air supply pipeline through a first air pipe. A first solenoid valve 7 is installed on the first air pipe to control the opening and closing of the first air pipe. High-pressure gas is ejected through the annular combined ejector 6 to create a negative pressure in the air inlet duct, thereby guiding the high-temperature dust-laden airflow into the air inlet duct from one end. The humidification and growth unit 4... Unit 2 includes a first chamber and a humidifier 9. One end of the first chamber is connected to the other end of the air inlet duct to allow high-temperature dust-laden airflow to enter. The humidifier 9 is installed in the first chamber, and its inlet is connected to the underground water supply pipeline via a first water pipe. A second solenoid valve 10 is installed on the first water pipe to control the opening and closing of the first water pipe. The humidifier 9 continuously humidifies the first chamber to create a supersaturated environment, causing dust particles in the high-temperature dust-laden airflow to continuously grow, condense, and settle in this environment. The cold mist dust suppression unit 3 includes a second chamber, a chiller 15, and multiple nozzles 12. One end of the second chamber is connected to the other end of the first chamber to introduce the airflow treated by the first chamber. Multiple nozzles 12 are arranged in the second chamber, and multiple... Each nozzle 12 is connected to a cold mist pipeline. A chiller 15 is installed outside the second chamber. The inlet of the chiller 15 is connected to the downhole water supply pipeline via a second water pipe, allowing water from the downhole water supply pipeline to enter the chiller 15 for cooling, forming low-temperature water. One end of the cold mist pipeline is equipped with a T-joint. The two ports of the T-joint are connected to the downhole gas supply pipeline and the outlet of the chiller 15 respectively via pipelines. A third solenoid valve 13 is installed between the T-joint and the downhole gas supply pipeline to control the on / off state of the T-joint and the downhole gas supply pipeline. A fourth solenoid valve 16 is installed on the second water pipe to control the on / off state of the second water pipe. The high-pressure gas in the downhole gas supply pipeline and the low-temperature water generated by the chiller 15 enter the cold mist pipeline through the T-joint and mix, then flow out from each nozzle. The nozzle sprays low-temperature water-cooled mist to cool the airflow in the second chamber and further reduce dust. A pressure regulating valve 26 is installed on the cold mist pipeline to control the pressure of the low-temperature water-cooled mist sprayed from the nozzle 12. The dust filtration and defogging unit 4 includes a third chamber and a filter device 18. One end of the third chamber is connected to the other end of the second chamber to introduce the airflow treated by the second chamber. A drain port 19 is opened at the bottom of the third chamber. The filter device 18 is installed in the third chamber and covers a certain section of the third chamber. The filter device 18 filters, removes dust, and absorbs moisture from the passing airflow. After completion, the airflow is discharged from the other end of the third chamber. The air inlet, the first chamber, the second chamber, and the third chamber are all coaxially connected in sequence to facilitate the smooth passage of airflow to achieve cooling and dust removal.

[0033] The sensor monitoring device includes a laser particle size sensor 21, a dust concentration sensor 22, and a temperature sensor 23. The laser particle size sensor 21 is installed in the first cavity and is used to monitor the growth diameter of dust particles in the first cavity. The dust concentration sensor 22 and the temperature sensor 23 are installed in the surrounding environment and are used to monitor the ambient dust concentration and ambient temperature, respectively.

[0034] The fuzzy PID control device 20 is connected to the laser particle size sensor 21, dust concentration sensor 22, temperature sensor 23, first solenoid valve 7, second solenoid valve 10, third solenoid valve 13, fourth solenoid valve 16, pressure regulating valve 26, chiller 15, and humidifier 9. It is used to control the first solenoid valve 7, second solenoid valve 10, third solenoid valve 13, fourth solenoid valve 16, chiller 15, and humidifier 9 to start dust removal and cooling. After receiving and analyzing the data fed back by the laser particle size sensor 21, dust concentration sensor 22, and temperature sensor 23, it adjusts the power of humidifier 9 and the temperature of low-temperature water generated by chiller 15 through humidifier power converter and chiller power converter, respectively. At the same time, it adjusts the pressure of low-temperature air-water cooling mist by controlling pressure regulating valve 26.

[0035] As an improvement of the present invention, the filtration device 18 consists of multiple filter layers; a first filter 8 is installed on the first air pipe, a second filter 11 is installed on the first water pipe, a third filter 14 is installed between the tee joint and the underground air supply pipeline, and a fourth filter 17 is installed on the second water pipe. By setting multiple filter layers, the adsorption and purification effect on the final exhaust airflow can be guaranteed, and the addition of multiple filters can prevent impurities contained in the underground air supply pipeline and the underground water supply pipeline from entering the system with the gas or water, thus ensuring the stable operation of the cooling and dust removal system.

[0036] like Figure 1 As shown, the working method of the integrated dust removal and cooling system for the high-temperature mining face described above includes the following specific steps:

[0037] Step 1: Install the integrated dust removal and cooling system on the return air or downwind side of the high-temperature mining face requiring dust removal and cooling; activate the first solenoid valve 7, the second solenoid valve 10, the third solenoid valve 13, the fourth solenoid valve 16, the chiller 15, and the humidifier 9. The high-temperature dust-laden airflow from the surrounding environment is drawn in by the negative pressure of the pressurized air ejector unit 1. The high-temperature dust-laden airflow first enters the supersaturated environment formed by the humidification growth unit 2, causing the dust particles it contains to continuously grow, agglomerate, and settle in this environment, and some of them settle under the action of gravity, achieving primary dust removal; the airflow after primary dust removal enters the cold mist dust suppression unit 3, where multiple nozzles 12 continuously spray high-temperature dust. The ultrafine cold fog formed by the combined action of compressed airflow and low-temperature water flow mixes with the airflow in the cold fog dust removal unit for heat exchange and evaporation, thereby cooling the airflow. At the same time, dust agglomerates further grow and coalesce in this environment, and the dust agglomerates are also settled during the collision and interception of the fog droplets, achieving cooling and secondary dust removal. After cooling and secondary dust removal, the airflow finally enters the dust filtration and fog elimination unit 4, where the filter device 18 adsorbs and filters the remaining dust particles and cold fog droplets in the airflow, achieving airflow purification and tertiary dust removal. Finally, the low-temperature and purified airflow is discharged from the dust filtration and fog elimination unit 4 to remove dust and cool the air environment of the high-temperature mining face.

[0038] Step 2: During the operation of the integrated dust removal-cooling system, the laser particle size sensor 21, dust concentration sensor 22 and temperature sensor 23 in the sensor monitoring device monitor the dust particle growth diameter D, the environmental dust concentration C and the environmental temperature T in the humidification growth unit 2 in real time and feed the data back to the fuzzy PID control device 20.

[0039] Step 3: When any monitoring data deviates from the ideal value set by the system, the fuzzy PID control device 20 determines the error e between the dust particle growth diameter D, the environmental dust concentration C of the high-temperature mining face, and the environmental temperature T and the ideal value. D e C e T and the rate of change of error ε D ε C ε T The knowledge base is selected, which includes a database and a rule base. The database includes membership functions for input values ​​and output increments, and the rule base includes a total fuzzy rule R* based on expert knowledge and operational experience, specifically:

[0040] The database embeds fuzzy sets for input and output, along with their universes of discourse and membership functions corresponding to fuzzy subsets. Since the increased diameter of dust particles within the integrated dust removal and cooling system makes it easier to achieve the expected dust reduction target, the error e regarding the dust particle diameter D is... D and the rate of change of error ε DThe fuzzy sets are defined as: {negative large, negative medium, negative small, zero, positive small, positive medium, positive large} = {NB, NM, NS, ZO, PS, PM, PB}, with the universe of discourse being: {-3, -2, -1, 0, 1, 2, 3}, and its output ΔK pD ΔK iD ΔK dD The fuzzy set is also defined as: {negative large, negative medium, negative small, zero, positive small, positive medium, positive large} = {NB, NM, NS, ZO, PS, PM, PB}, and the universe of discourse is: {-3, -2, -1, 0, 1, 2, 3};

[0041] The lower the ambient dust concentration, the better it meets the expected target; therefore, the error e regarding the dust concentration C is... C The fuzzy set is defined as: {zero negative, positive small, positive medium, positive large} = {ZN, PS, PM, PB}, the universe of discourse is: {0, 1, 2, 3}, and the error rate of change ε C The fuzzy set is defined as: {negative large, negative medium, negative small, zero, positive small, positive medium, positive large} = {NB, NM, NS, ZO, PS, PM, PB}, with the universe of discourse being: {-3, -2, -1, 0, 1, 2, 3}, and its output ΔK pC ΔK iC ΔK dC The fuzzy sets are defined as: {zero, positive small, positive middle, positive large} = {ZO, PS, PM, PB}, and the universe of discourse is: {0, 1, 2, 3};

[0042] Since the working surface temperature should not be too high or too low, and needs to be maintained at a certain value, the error e regarding the working surface temperature T is... T and the rate of change of error ε T The fuzzy set is defined as: {negative large, negative medium, negative small, zero, positive small, positive medium, positive large} = {NB, NM, NS, ZO, PS, PM, PB}, with the universe of discourse being: {-3, -2, -1, 0, 1, 2, 3}, and its output ΔK pT ΔK iT ΔK dT The fuzzy sets are defined as: {negative large, negative medium, negative small, zero, positive small, positive medium, positive large} = {NB, NM, NS, ZO, PS, PM, PB}, and the universe of discourse is: {-3, -2, -1, 0, 1, 2, 3};

[0043] In the above letters, "P" represents "positive", "N" represents "negative", "Z" and "ZO" represent "zero", "S" represents "small", "M" represents "medium", and "B" represents "large".

[0044] For the input error e D e C e Tand the rate of change of error ε D ε C ε T The meanings of elements in a fuzzy set are described as follows: "negative large" means "the error value is negative and the absolute value is large" or "the error change shows negative growth and the magnitude is large"; "negative medium" means "the error value is negative and the absolute value is moderate" or "the error change shows negative growth and the magnitude is moderate"; "negative small" means "the error value is negative and the absolute value is small" or "the error change shows negative growth and the magnitude is small"; "zero negative" means "the error value is less than or equal to zero" or "the error change rate is less than or equal to zero"; "zero" means "the error is zero" or "the error change rate is zero"; "zero positive" means "the error value is greater than or equal to zero" or "the error change rate is greater than or equal to zero"; "positive small" means "the error value is positive and the absolute value is large" or "the error change shows positive growth and the magnitude is small"; "positive medium" means "the error value is positive and the absolute value is moderate" or "the error change shows positive growth and the magnitude is moderate"; "positive large" means "the error value is positive and the absolute value is large" or "the error change shows positive growth and the magnitude is large".

[0045] For the output ΔK pD ΔK iD ΔK dD ΔK pC ΔK iC ΔK dC ΔK pT ΔK iT ΔK dT "Negative large" indicates that "the output value needs to be reduced to a large extent", "negative medium" indicates that "the output value needs to be reduced to a moderate extent", "negative small" indicates that "the output value needs to be reduced to a small extent", "zero" indicates that "the output value remains unchanged from the previous cycle", "positive small" indicates that "the output value needs to be increased to a small extent", "positive medium" indicates that "the output value needs to be increased to a moderate extent", and "positive large" indicates that "the output value needs to be increased to a large extent". Additionally, the more elements in this fuzzy set subset, the more precise the adjustment of the PID parameters.

[0046] The rule base is based on expert knowledge or operational experience, providing fuzzy rules R corresponding to different combinations of fuzzy sets for e and ε. i It is generally described as: IF A and B then C;

[0047] The information about e given in this method D and ε D The corresponding fuzzy rules for the output parameters are as follows:

[0048] For ΔK pD ,

[0049] X D1 :IF eD is ZN and ε D is NB then ΔK pD is PB,

[0050] ……

[0051] X D2 :IF e D is ZP and ε D is ZO then ΔK pD is ZO,

[0052] ……

[0053] X D49 :IF e D is PB and ε D is PB then ΔK pD is NB;

[0054] For ΔK iD ,

[0055] Y D1 :IF e D is NB and ε D is NB then ΔK iD is NB,

[0056] ……

[0057] Y D2 :IF e D is ZO and ε D is ZO then ΔK iD is ZO,

[0058] ……

[0059] Y D49 :IF e D is PB and ε D is PB then ΔK iD is PB;

[0060] For ΔK dD ,

[0061] Z D1 :IF e C is NB and ε C is NB then ΔK dD is PS,

[0062] ……

[0063] Z D2 :IF e C is ZO and ε C is ZO then ΔK dD is NS,

[0064] ...

[0065] Z D49 :IF e C is PB and ε C is PB then ΔK dD is PB;

[0066] Similarly, the method given regarding e C ε C e T and ε T The corresponding output parameters have similar fuzzy rules. All fuzzy relations can be used to construct nine fuzzy relation matrices. These constitute the total fuzzy rules of the system, denoted as R. * .

[0067] The fuzzy reasoning and defuzzification process is performed based on the general fuzzy rule R* in the knowledge base, specifically as follows:

[0068] First, the errors e between the dust particle growth diameter D, the environmental dust concentration C at the high-temperature mining face, and the environmental temperature T and their ideal values ​​are calculated. D e C e T and the rate of change of error ε D ε C ε T After quantification factor The fuzzification is performed to convert the values ​​into universe values; based on the membership functions corresponding to each input variable in the database, the membership degrees of each fuzzy subset under the corresponding universe value are obtained.

[0069] Quantification factor K e K ε Specifically, it is expressed as follows:

[0070] Where m and n represent the error e D e C e T and the rate of change of error ε D ε C ε T For the largest integer value corresponding to its respective universe of discourse, under the condition of this universe of discourse, m = n = 3, and e h and e lε represents the highest and lowest limits that the error can take in the actual output, respectively. h and ε l These represent the highest and lowest limits of the error change rate, respectively;

[0071] In addition, the scaling factor is K u The universe of discourse value output by the fuzzy algorithm after calculation is converted into a sharpness value ΔK by the scaling factor. pD ΔK iD ΔK dD ΔK pC ΔK iC ΔK dC ΔK pT ΔK iT ΔK dT This is used by the PID algorithm for further processing.

[0072] Scale factor K u Specifically, it is expressed as follows:

[0073] Where u={ΔK pD ΔK iD ΔK dD ΔK pC ΔK iC ΔK dC ΔK pT ΔK iT ΔK dT}, where L represents the output value ΔK pD ΔK iD ΔK dD ΔK pC ΔK iC ΔK dC ΔK pT ΔK iT ΔK dT For the largest integer value corresponding to its respective universe of discourse, under the condition of this universe of discourse, take L=3, u h and u l These represent the highest and lowest limits that the above output values ​​can take in actual output, respectively;

[0074] Fuzzy inference is performed using the Mamdni method. The membership matrices for the errors and error change rates corresponding to the dust particle growth diameter D, the environmental dust concentration C at the high-temperature mining face, and the environmental temperature T are merged separately, and then combined with the fuzzy relation matrix in the rule base mentioned above. Separate synthesis operations are performed to obtain the membership degrees corresponding to different output fuzzy subsets. Based on the membership function established in the database, the output curve is obtained. The maximum membership averaging method is used to obtain the universe of discourse value for each fuzzy subset. Finally, this universe of discourse value is calculated based on the scaling factor K. u Convert to output value ΔK pD ΔK iD ΔK dD ΔK pC ΔK iC ΔK dC ΔK pT ΔK iT ΔK dT Thus, the incremental values ​​of the proportion, integral, and differential factors of the PID algorithm corresponding to the dust particle growth diameter D, the environmental dust concentration C of the high-temperature mining face, and the environmental temperature T are obtained.

[0075] Based on the above output value, the value of the previous cycle is superimposed using a weighted average method and substituted into the fuzzy PID control device 20 to obtain the updated K. pD K iD K dD K pC K iC K dC K pT K iT K dT The value is as follows:

[0076]

[0077] Where K pD1 K iD1 K dD1 K pc1 K ic1 K dc1 K pT1 K iT1 K dT1 These are the parameter values ​​calculated by the PID in the previous cycle;

[0078] The PID calculation is performed using the following formula:

[0079]

[0080] The output values ​​of environmental variables D(t), C(t), and T(t) at that moment are obtained through the above calculations. Then, the fuzzy PID control device 20 adjusts the humidifier power, spray pressure, and chiller power based on the built-in conversion program between the environmental variables D, C, and T and the humidifier output power p1, spray output pressure P, and chiller output power p2, thereby achieving adaptive control of the dust removal and cooling device.

[0081] The conversion model between environmental variables (D, C, T) and device operating parameters (p1, P, p2) is shown below, where α i ,β i γ i These are the coefficients of environmental variables corresponding to different power exponents.

[0082]

[0083] Step 4: When the fuzzy PID control device 20 performs adaptive adjustment based on the input monitoring data, the sensor monitoring device continuously feeds back the changes in dust particle growth diameter D, environmental dust concentration C, and ambient temperature T at the high-temperature mining face to the fuzzy PID control device 20 in real time. The fuzzy PID control device 20 continues to repeat the adjustment process of Step 3 until the dust particle growth diameter D, environmental dust concentration C, and ambient temperature T at the high-temperature mining face all reach their respective ideal values. At this time, the fuzzy PID control device 20 stops the adjustment process and maintains the current state of the dust removal and cooling device. The sensor monitoring device continues to perform real-time monitoring and feeds back the monitoring data to the fuzzy PID control device 20. If any monitoring data deviates from the ideal value set by the system, the fuzzy PID control device 20 continues to repeat the adjustment process of Step 3, thereby achieving continuous dust removal and cooling of the air environment at the high-temperature mining face.

[0084] The above description is only a preferred embodiment of the present invention. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A mine high-temperature mining face integrated dust removal-cooling system, characterized in that, The dust removal and cooling device comprises a compressed air injection unit, a humidification growth unit, a cold mist dust removal unit and a dust filtration and mist elimination unit. The dust removal and cooling device comprises a compressed air injection unit, a humidification growth unit, a cold mist dust removal unit and a dust filtration and mist elimination unit. The sensor monitoring device comprises a laser particle size sensor, a dust concentration sensor and a temperature sensor, the laser particle size sensor is installed in the first cavity and is used for monitoring the growth diameter of dust particles in the first cavity, and the dust concentration sensor and the temperature sensor are both installed at the surrounding environment and are respectively used for monitoring the environmental dust concentration and the environmental temperature. The fuzzy PID control device is connected with the laser particle size sensor, the dust concentration sensor, the temperature sensor, the first electromagnetic valve, the second electromagnetic valve, the third electromagnetic valve, the fourth electromagnetic valve, the pressure regulating valve, the water chiller and the humidifier, is used for controlling the first electromagnetic valve, the second electromagnetic valve, the third electromagnetic valve, the fourth electromagnetic valve, the water chiller and the humidifier to start dust removal and cooling, receiving the data feedback by the laser particle size sensor, the dust concentration sensor and the temperature sensor for analysis and processing, and adjusting the power of the humidifier and the temperature of the low-temperature water generated by the water chiller through the humidifier power converter and the water chiller power converter respectively, and adjusting the pressure of the low-temperature gas-water mist through the pressure regulating valve.

2. The mine high-temperature mining face integrated dust removal and cooling system according to claim 1, characterized in that, The filtering device is composed of multiple filtering layers; the first gas pipe is provided with a first filter, the first water pipe is provided with a second filter, a three-way joint is provided with a third filter between the three-way joint and the underground gas supply pipeline, and the second water pipe is provided with a fourth filter.

3. The mine high-temperature mining face integrated dust removal and cooling system according to claim 1, characterized in that, The air inlet cylinder, the first cavity, the second cavity and the third cavity are coaxially connected in sequence.

4. The method of operating the integrated dust removal and cooling system for high-temperature mining faces of mines according to any one of claims 1 to 3, characterized in that, The specific steps are as follows: Step one, install the integrated dust removal and cooling system at the return air or downwind side of the high-temperature mining working face of the mine where dust removal and cooling are required; start the first electromagnetic valve, the second electromagnetic valve, the third electromagnetic valve, the fourth electromagnetic valve, the water chiller and the humidifier, the high-temperature dust-containing air flow in the surrounding environment is sucked in under the negative pressure action of the pressure-ejection unit, the high-temperature dust-containing air flow first enters the water-saturated environment formed by the humidification growth unit, so that the dust particles contained therein continuously grow, coagulate and settle in the environment, and part of the dust particles settle under the action of gravity, realizing primary dust removal; the air flow after primary dust removal enters the cold mist dust removal unit, the super-fine cold mist formed by the joint action of the high-pressure gas flow and the low-temperature water flow continuously sprayed by multiple nozzles in the unit, the super-fine cold mist and the air flow are mixed and exchanged in the cold mist dust removal unit, and the super-fine cold mist evaporates, thereby cooling the air flow, and the dust particle agglomerates further grow and coagulate in the environment, and the dust particle agglomerates are also settled in the process of collision and interception with the mist droplets, realizing cooling and secondary dust removal; the air flow after cooling and secondary dust removal finally enters the dust filtration and mist elimination unit, the filtering device in the dust filtration and mist elimination unit adsorbs and filters the remaining dust particles and cold mist droplets in the air flow, realizing air flow purification and tertiary dust removal, and finally discharging the low-temperature and purified air flow from the dust filtration and mist elimination unit, thereby realizing dust removal and cooling of the air environment of the high-temperature mining working face; Step two, in the working process of the integrated dust removal and cooling system, the laser particle size sensor, the dust concentration sensor and the temperature sensor in the sensor monitoring device monitor the data feedback of the growth diameter D of the dust particles in the humidification growth unit, the environmental dust concentration C of the high-temperature mining working face and the environmental temperature T to the fuzzy PID control device in real time. Step three, when any monitoring data deviates from the ideal value set by the system, the fuzzy PID control device determines the error e of dust particle growth diameter D, environmental dust concentration C and environmental temperature T of high temperature mining face respectively from the ideal value D C T and error change rate ε D C T , then fuzzy processing is carried out, fuzzy reasoning is carried out according to the total fuzzy rule R* in the knowledge base, and finally defuzzification is carried out to obtain the increment value of the proportional, integral and differential factors of the PID algorithm corresponding to the dust particle growth diameter D, the environmental dust concentration C and the environmental temperature T of the high temperature mining face respectively, which are ΔK pD iD dD pC iC dC pT iT dT , then the output values D(t), C(t) and T(t) of the environmental variables at this moment are obtained by superimposing the weighted average method and the values of the last period into the fuzzy PID control device for calculation, and then the fuzzy PID control device adjusts the humidifier power, the cold mist pressure and the cold water machine power based on the built-in conversion program between the environmental variables D, C, T and the humidifier output power p1, the cold mist output pressure P and the cold water machine output power p2, so as to realize the self-adaptive regulation and control of the dust removal and cooling device.​​​​​​​​​​​​ Step four, when the fuzzy PID control device is self-adaptive to the input monitoring data, the sensor monitoring device continuously and real-timely feeds back the changes of the dust particle growth diameter D, the dust concentration C and the temperature T of the high-temperature mining working face to the fuzzy PID control device, and the fuzzy PID control device continues to repeat the control process of step three until the dust particle growth diameter D, the dust concentration C and the temperature T of the high-temperature mining working face all reach the ideal values, at which time the fuzzy PID control device stops the control process and keeps the current state of the dust removal and cooling device, the sensor monitoring device continuously and real-timely monitors and feeds back the monitoring data to the fuzzy PID control device, so as to realize the continuous dust removal and cooling of the air environment of the high-temperature mining working face.

5. The method according to claim 4, wherein the system is characterized in that, The knowledge base includes a database and a rule base, wherein the database includes membership functions of input values and output increments, and the rule base includes total fuzzy rules R* given based on expert knowledge and operating experience.

6. The method according to claim 5, wherein the system is characterized in that, The specific process in the third step is: first, the error e of each of the dust particle growth diameter D, the dust concentration C and the environment temperature T of the high-temperature mining working face and the ideal value D C T and the error change rate ε D C T After quantization factor fuzzy, it is converted into the domain value; through the Mamdni method, fuzzy reasoning is carried out, the membership matrix of the error and the error change rate corresponding to the dust particle growth diameter D, the dust concentration C and the environment temperature T of the high-temperature mining working face is combined respectively, and then the total fuzzy rule R* in the above rule base is synthesized; then, the operation result is reflected on the output membership function, through the maximum membership degree average method, the domain value of the fuzzy subset corresponding to the output value is obtained; finally, the domain value is converted into the output value ΔK u ΔK pD ΔK iD ΔK dD ΔK pC ΔK iC ΔK dC ΔK pT ΔK iT ΔK dT , thereby obtaining the increment value of the proportional factor, the integral factor and the differential factor of the PID algorithm corresponding to each of the dust particle growth diameter D, the dust concentration C and the environment temperature T of the high-temperature mining working face;​​​​ The updated K is calculated by superimposing the above output value and the value of the previous cycle into the fuzzy PID control device by a weighted average method pD , K iD , K dD , K pC , K iC , K dC , K pT , K iT , K dT ; The PID calculation formula is as follows: Through the above calculation, the output values D(t), C(t) and T(t) of the environmental variables at this moment are obtained, and then the fuzzy PID control device adjusts the humidifier power, the cold mist output pressure P and the cold water machine power based on the built-in conversion program between the environmental variables D, C and T and the humidifier output power p1, the cold mist output pressure P and the cold water machine output power p2, so as to realize the self-adaptive control of the dust removal and cooling device.

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