Intelligent control system and method for inhibiting boiling overflow splashing

Abstract

The invention discloses an intelligent control system and method for inhibiting boiling overflow and splashing. The intelligent control system mainly comprises a heat insulation system, a liquid level regulation and control system, a parameter measurement system, an intelligent algorithm system and a main control system. A heat insulation pipe network and a cold source supply device are arranged in the heat insulation system, the heat insulation pipe network is fixed in an oil layer, and a low-temperature medium is introduced to prevent heat waves from being transmitted to a tank bottom water cushion layer; the liquid level regulation and control system is used for ensuring that the heat insulation pipe network is located in an oil layer; the parameter measuring system measures the upper and lower temperature of the heat-insulating pipe network, the temperature of the water cushion layer and the viscosity value near the heat-insulating pipe network; the intelligent algorithm system processes data of the parameter measurement system, judges the position of a heat insulation pipe network according to a viscosity algorithm, evaluates the heat insulation effect according to a heat transfer algorithm, and adjusts the cold source flow according to a heat insulation efficiency algorithm; the master control system is used for receiving results of the intelligent algorithm system, intelligently controlling opening and closing of the liquid level regulation and control system and adjusting the flow of the cold source medium. The system can restrain fire boiling overflow and splashing of the storage tank, and accident expansion is avoided.

Description

Technical Field

[0001] The present invention belongs to the field of intelligent devices for storage tanks, and specifically is an intelligent control system and method for suppressing boiling and splashing. Background Art

[0002] With the rapid development of the petrochemical industry, the demand for crude oil storage is growing, and the number of large oil storage tanks is increasing. During the storage of oil products, the internal saturated water gradually separates from the oil products, forming a water cushion at the bottom of the tank. Once a tank fire occurs, the flame radiates and heats the upper surface oil layer, the light components evaporate upward, and the heavy components carry a large amount of heat downward, continuously acting on the oil-water interface, causing the water cushion at the oil-water interface to reach the boiling point and produce a large amount of steam. The steam carries the upper layer of flammable oil products outward, forming boiling and splashing, causing heavy casualties. For example, on July 15, 2010, an oil pipeline exploded in a crude oil depot in Dalian, causing a heavy oil tank fire. The heat wave was transmitted to the water cushion layer, causing boiling and splashing, which triggered more tank explosions and fires, causing serious casualties and property losses.

[0003] Through systematic investigation, it is found that the devices for detecting boiling and splashing of storage tanks and simulating boiling and splashing of storage tanks are as follows: "Sonar-based Oil Storage Tank Fire Boiling and Splashing Warning Technology" (Authorized Public Number: CN113160515B), which arranges sonar sensors on the upper and lower sides of the oil-water interface respectively, and detects the bubble information in the oil through the sonar probe to determine whether boiling and splashing will occur, and give early warning; "A Crude Oil Fire Boiling Disaster Simulation Experimental System and Consequence Assessment Method" (Authorized Public Number: CN117995049A), which simulates boiling fires with different oil layer thicknesses and different water cushion layer thicknesses, and collects parameters such as temperature changes inside the oil, flame behavior, mass loss, and radiation intensity to analyze the characteristics of boiling fires and conduct consequence assessments on boiling disasters; "An Experimental Device for Studying the Boiling and Splashing Characteristics of Oil Tanks" (Authorized Public Number: CN115655412A), which uses power grid heating to simulate the heat transfer of real combustion flames to the liquid surface. Thereby inducing boiling and splashing, measuring the trajectory of the splashing oil droplets, and then studying the boiling and splashing laws of the oil products; through the above investigation, it was found that significant progress has been made in the simulation detection device for storage tank combustion boiling and splashing, but there is relatively little research on the device for suppressing storage tank combustion boiling and splashing. The relevant devices include: "A device for preventing crude oil storage tanks from boiling and splashing due to combustion" (authorization announcement number: CN203997625U), which is equipped with a micro-bead releaser inside the storage tank. After the tank fire occurs, the hollow insulating ceramic micro-beads are released to the oil-water interface to block the heat transfer between oil and water, slow down the water at the oil-water interface to reach the boiling point, and prevent the tank fire from boiling and splashing; "Anti-boiling control device for crude oil storage tanks" (authorization announcement number: CN109896185B), which removes the water cushion layer in time after the tank fire occurs to avoid boiling and splashing caused by the heat of the water cushion layer, but after the fire occurs, draining water or oil will cause unstable combustion. The research team also designed and developed "A device and method for suppressing boiling and splashing during heavy oil combustion" (application publication number: CN118723361A). This device cools the oil-water interface by making ice to suppress the occurrence of boiling and splashing; "A device and method for suppressing boiling and splashing during crude oil storage tank fires" (application publication number: CN118723360A). This device floats the heat exchanger to the oil-water interface for cooling and suppressing the occurrence of boiling and splashing.

[0004] Through the research and analysis of existing technologies, it can be concluded that the existing devices mainly suppress the boiling and splashing of storage tank combustion by releasing isolation materials to block the downward transmission of heat waves and timely remove the water cushion layer. However, the lack of continuous cooling of the oil layer and the water layer cannot completely block the downward transmission of heat waves. At the same time, the existing equipment reduces the risk of boiling and splashing by draining water, which will cause the oil level in the storage tank to decrease, change the flame combustion behavior, and cause more complex fire combustion scenes. In addition, the two devices developed by this research group mainly suppress the occurrence of boiling and splashing by lowering the temperature of the oil-water interface. The device of the present invention mainly cuts off the transmission of the heavy components of the oil to the water cushion layer from the source by directly cooling the oil layer, but there are almost no simulation systems in this regard. Summary of the invention

[0005] The present invention aims to solve at least one of the technical problems existing in the prior art. To this end, the present invention proposes an intelligent control system for suppressing boiling and splashing, and the present invention also aims to propose a method for using an intelligent control system for suppressing boiling and splashing. It includes a main control system, a heat insulation system, a liquid level control system, a parameter measurement system, and an intelligent algorithm system, wherein:

[0006] The main control system is used to transmit and overall control the data between the thermal insulation system, the liquid level control and regulation system, the parameter measurement system, and the intelligent algorithm system, and is externally connected to the HMI for interactive control and display;

[0007] The heat insulation system is used to block the transmission of heat waves to the water cushion layer after a storage tank fire occurs, and is connected to the HMI of the main control system through the network for interactive display, including a cold source supply device and a heat insulation pipe network. The cold source supply device is used to prepare a cold source medium and provide power for the transportation of the cold source medium. The built-in PLC intelligent control module is used to receive instructions from the main control system, including operations such as preparing the cold source medium and whether to increase the cold source medium transportation flow rate; the heat insulation pipe network is installed near the bottom of the storage tank and located inside the oil layer. After the cold source medium is introduced, the oil around the pipe network is continuously cooled, the heat wave is isolated from transmitting downward, the oil-water interface is prevented from reaching the boiling point temperature, and the occurrence of boiling and splashing is suppressed;

[0008] Optionally, the cold source medium of the cold source supply device may be cryogenic liquid nitrogen or a refrigerant.

[0009] Advantageously, the material of the heat-insulating pipe network should be selected from materials with good thermal conductivity to improve heat exchange efficiency.

[0010] The liquid level control system is used to ensure that the insulation pipe network is always located inside the oil layer, and mainly includes a drainage pipe and a drainage valve. The drainage pipe is installed at the lower end of the insulation pipe network, and is used to drain water from the storage tank outwards evenly and stably, control the thickness of the water cushion layer, and prevent the insulation pipe network from directly contacting the water cushion layer due to the water cushion layer being too thick, thereby losing the cooling effect on the oil layer; the drainage valve is installed at the tail end of the drainage pipe, and has a built-in PLC intelligent control module, which is used to receive instructions from the main control system to open or close the pipe drainage;

[0011] Advantageously, the arrangement shape of the drainage pipe in the water cushion layer should cover the entire bottom surface as much as possible. When draining water out of the tank, stability should be ensured to avoid large fluctuations in the oil layer level above the water cushion layer, which may change the flame burning behavior on the top of the tank and cause greater accidents.

[0012] The parameter measurement system is used to collect the viscosity value and temperature value in the system and feed back the collected data to the intelligent algorithm system and the main control system. It has multiple sensor arrays built in to collect the viscosity value near the insulated pipe network, which is recorded as parameter A; and collect the temperature at the upper end of the insulated pipe network, which is recorded as parameter T up ; Collect the temperature data of multiple temperature measuring points at the lower end of the insulation pipe network, and record the temperature data set as T down A plurality of temperature measuring points are arranged vertically at the lower end of the heat-insulated pipe network, and the temperature measuring point closest to the heat-insulated pipe network is recorded as the first temperature measuring point T down1 , and then record it as the second temperature measurement point T down2 , and so on. The specific number and spacing of the temperature measurement points are determined according to the actual size of the tank, but there should be no less than two temperature measurement points. The temperature of the water cushion layer at the bottom of the tank is collected and recorded as T 0 ;

[0013] The intelligent algorithm system is used to process the data collected by the parameter measurement system and feed back the processing results to the main control system; since the viscosity of water is much smaller than that of oil, the intelligent algorithm system calculates the viscosity of water Q in real time according to the built-in viscosity algorithm 1 , and then determine whether the thermal insulation pipe network is located in the water layer or in the oil layer:

[0014] If the viscosity measurement value A≤Q 1 When the viscosity is greater than Q, it indicates that the insulated pipe is located in the water layer. The intelligent algorithm system feeds back the information to the main control system, and the main control system controls the liquid level control system to open the drain valve to drain water out of the storage tank until the viscosity measurement value A>Q 1 , closing the drain valve;

[0015] If the viscosity measurement value A>Q 1, it means that the heat-insulated pipeline is located in the oil layer, and the intelligent algorithm system feeds back the information to the main control system, and the main control system controls the liquid level control system to keep the current state unchanged;

[0016] The intelligent algorithm system is also used to process the temperature data set of each temperature measuring point at the lower end of the insulated pipe network. The intelligent algorithm system calculates the heat transfer value Q according to the built-in heat transfer algorithm. down , so as to judge the insulation effect of the insulation pipe network:

[0017] If the heat transfer value Q down >0, indicating that heat is transferred downward, indicating that the insulation effect of the heat-insulating pipe network is poor and cannot block the downward transmission of heat waves. The intelligent algorithm system feeds back information to the main control system, and the main control system controls the insulation system to increase the flow rate of the cold source medium entering the heat-insulating pipe network to improve the heat exchange efficiency. However, the main control system cannot down The value directly determines the specific increase degree of the cold source medium flow rate, and further determines it in combination with the thermal insulation efficiency value η. The intelligent algorithm system calculates the thermal insulation efficiency value η according to the built-in thermal insulation efficiency algorithm, and then determines the specific increase degree of the cold source medium flow rate to avoid the flow rate increase being too small to block the heat wave from transmitting downward in time or the flow rate increase being too large to cause energy loss:

[0018] If the calculated value of the thermal insulation efficiency η is close to 1, it means that the thermal insulation effect is not much different from the set value, and the intelligent algorithm system feeds back the result to the main control system, and the main control system controls the cold source supply device to appropriately increase the flow rate of the cold source medium passing into the thermal insulation pipe network;

[0019] If the calculated value of the thermal insulation efficiency η is much smaller than 1, it means that the thermal insulation effect is significantly different from the set value, and the intelligent algorithm system feeds back the result to the main control system, and the main control system controls the cold source supply device to significantly increase the flow rate of the cold source medium passing into the thermal insulation pipe network;

[0020] After changing the cold source medium flow for a period of time, the intelligent algorithm system recalculates the heat transfer value Q down , determine whether to continue to increase the flow rate of the cold source supply;

[0021] If the heat transfer value Q down ≤0, indicating that heat is not transferred downward, indicating that the heat insulation pipe network has good insulation effect, can block the heat wave from transferring downward, and prevent the occurrence of boiling and splashing. The intelligent algorithm system feeds back information to the main control system, and the main control system controls the heat insulation system to maintain the flow rate of the existing cold source medium into the heat insulation pipe network;

[0022] Advantageously, the viscosity algorithm in the intelligent algorithm system further includes the following contents:

[0023]

[0024] Where: Q 1 is the viscosity of water; D, B, C have been determined through experimental data and statistical analysis; T 0 is the measured temperature of the water cushion;

[0025] Advantageously, the heat transfer algorithm in the intelligent algorithm system further includes the following contents:

[0026]

[0027] Where: Q down is the estimated amount of heat transferred downward per unit time; k is the heat transfer coefficient of the material; T down1 is the temperature value of the first temperature measurement point, T down2 is the temperature value of the second temperature measuring point; △L is the distance between the temperature measuring points;

[0028] Advantageously, the thermal insulation efficiency algorithm in the intelligent algorithm system further includes the following contents:

[0029] η=(T up -T down1 ) / (T up -T 0 )

[0030] Where η is the thermal insulation efficiency, T up is the measured temperature value of the upper part of the thermal insulation pipe network, T down1 is the first temperature measurement value of the lower section of the thermal insulation pipe network, T 0 is the temperature of the water layer at the bottom of the tank.

[0031] Optionally, the intelligent algorithm system can also determine the insulation effect by identifying the temperature at the lower end of the insulation pipe network:

[0032] If the lower end temperature measurement value is much lower than the boiling point of water 100°C, it means that the flow rate of the cold source medium meets the requirements of cooling and heat insulation. The result is fed back to the main control system to keep the state unchanged.

[0033] If the lower end temperature measurement value is close to the boiling point of water 100°C, it means that the flow rate of the cold source medium cannot meet the cooling and insulation requirements. The result is fed back to the main control system to increase the flow rate of the cold source medium entering the pipeline and improve the heat exchange efficiency.

[0034] Advantageously, the method of using an intelligent control system for suppressing boiling and splashing is as follows:

[0035] Step S1: After a fire occurs, the main control system controls the cold source supply device to start, so as to prepare a cold source medium;

[0036] Step S2: The parameter measurement system measures the water layer temperature T 0 The viscosity value A is fed back to the intelligent algorithm system, and the intelligent algorithm system calculates the viscosity value Q according to the viscosity algorithm 1 , if A>Q 1 , the main control system does not act, if A≤Q 1 , the main control system controls the drain valve to open and drain water out of the tank until A>Q 1 Then close it to ensure that the thermal insulation pipe network is located in the oil layer;

[0037] Step S3, after ensuring that the position of the heat-insulated pipe network is correct, the main control system controls the cold source supply system to supply cold source medium to the heat-insulated pipe network;

[0038] Step S4: The parameter measurement system feeds back the temperature values ​​of the lower and upper ends of the heat insulation pipe network to the intelligent algorithm system, and calculates Q according to the heat transfer algorithm. down value, and judge the heat transfer effect, and feed back the corresponding results to the main control system. down >0, the intelligent algorithm system calculates the insulation efficiency value η according to the insulation efficiency algorithm, adjusts the flow rate of the cold source medium entering the insulation pipe network according to the insulation efficiency value η, and after adjusting for a period of time, judges and adjusts again until Q down ≤0; if Q down ≤0, the main control system does not operate and maintains the existing cold source medium supply flow;

[0039] Step S5: The parameter measurement system monitors the temperature and viscosity data in real time, and feeds the data back to the intelligent algorithm system, which calculates Q in real time according to the built-in algorithm. down The value is obtained and the result is fed back to the main control system in real time for corresponding actions to be taken until the fire is over.

[0040] Additional aspects and advantages of the invention will become apparent from the following description, or may be learned by practice of the invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 The present invention is a flowchart of an intelligent control system for suppressing boiling and splashing according to an embodiment of the present invention.

[0042] Figure 2 This is a structural diagram of an intelligent control system for suppressing boiling and splashing according to an embodiment of the present invention.

[0043] Figure 3The figure is an overall schematic diagram of an intelligent control system for suppressing boiling and splashing according to an embodiment of the present invention.

[0044] An intelligent control system and method for suppressing boiling and splashing 1000,

[0045] Thermal insulation system 100,

[0046] Cold source supply device 110, heat insulation pipe network 120,

[0047] Liquid level control system 200,

[0048] Drain pipe 210, drain valve 230,

[0049] Parameter measurement system 300,

[0050] Temperature sensor 310, viscosity measurement sensor 320,

[0051] Intelligent algorithm system 400,

[0052] Main control system 500, DETAILED DESCRIPTION

[0053] Embodiments of the present invention are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and cannot be understood as limiting the present invention.

[0054] In the description of the present invention, it is necessary to understand that the terms "upper", "lower", "front", "back", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention. Specific embodiment one:

[0056] like Figure 1-3 As shown, an intelligent control system and method 1000 for suppressing boiling and splashing includes: a main control system 500, a heat insulation system 100, a liquid level control system 200, a parameter measurement system 300 and an intelligent algorithm system 400, wherein:

[0057] The main control system 500 is used to transmit and control the data between the thermal insulation system 100, the liquid level control and regulation system 200, the parameter measurement system 300, and the intelligent algorithm system 400. It is connected to the HMI externally for interactive control and display. The main control system 500 is the core of the entire system and is responsible for coordinating the data transmission and overall control between the various systems. It interacts with the thermal insulation system 100, the liquid level control and regulation system 200, the parameter measurement system 300, and the intelligent algorithm system 400 through standardized communication protocols such as Modbus or Ethernet to ensure accurate data transmission and timely execution of instructions. It uses an industrial-grade embedded system. Or PLC is used as the core of the main control system, combined with HMI for interactive control display. HMI provides an intuitive operation interface, allowing operators to easily monitor and control the entire system. The logic control of the main control system is realized through programming, including functions such as data reception, processing, storage and instruction generation. The system can receive data from each subsystem and process it according to the preset logical rules, and then send control instructions to each system. The whole system is controlled through the main control system, which improves the overall coordination and response speed of the system, increases the stability and reliability of the system, ensures the timely suppression of boiling and splashing of storage tanks, and avoids the expansion of accidents.

[0058] The heat insulation system 100 is used to block the transmission of heat waves to the water cushion layer after a storage tank fire occurs. It is connected to the HMI of the main control system through the network for interactive display, and includes a cold source supply device 110 and a heat insulation pipe network 120. The cold source supply device 100 is used to prepare a cold source medium and provide power for the transportation of the cold source medium. It has a built-in PLC intelligent control module for receiving instructions from the main control system 100, including operations such as preparing a cold source medium and whether to increase the cold source medium transportation flow rate. The heat insulation pipe network 110 is installed near the bottom of the storage tank and is located inside the oil layer. After the cold source medium is introduced, the oil around the pipe network is continuously cooled, the heat wave is isolated from being transmitted downward, the oil-water interface is prevented from reaching the boiling point temperature, and the occurrence of boiling and splashing is suppressed.

[0059] Optionally, the cold source medium of the cold source supply device 110 may be low-temperature liquid nitrogen or a refrigerant.

[0060] Advantageously, the material of the heat-insulating pipe network 120 should be selected from materials with good thermal conductivity to improve heat exchange efficiency.

[0061] Advantageously, the effective cooling diameter of the insulated pipe network 120 is close to the diameter of the storage tank and is arranged parallel to the oil surface, which effectively prevents heat waves from transmitting downward.

[0062] The liquid level control system 200 is used to ensure that the heat-insulating pipe network 120 is always located inside the oil layer, and mainly includes a drainage pipe 210 and a drain valve 220. The drainage pipe 210 is installed at the lower end of the heat-insulating pipe network 120, and is used to drain water from the storage tank to the outside in a uniform and stable manner, and to control the thickness of the water cushion layer to prevent the heat-insulating pipe network 120 from directly contacting the water cushion layer due to the water cushion layer being too thick, thereby losing the cooling effect on the oil layer; the drain valve 220 is installed at the tail end of the drainage pipe, and has a built-in PLC intelligent control module, which is used to receive instructions from the main control system 500 to open or close the pipe drainage;

[0063] Advantageously, the arrangement shape of the drainage pipe 210 in the water cushion layer should cover the entire bottom surface as much as possible. When draining water out of the tank, stability should be ensured to avoid large fluctuations in the oil layer level above the water cushion layer, which may change the flame burning behavior on the top of the tank and cause greater accidents.

[0064] The parameter measurement system 300 is used to collect the viscosity value and temperature value in the system and feed back the collected data to the intelligent algorithm system 400 and the main control system 500. It has multiple sensor arrays built in to collect the viscosity value near the insulation pipe network 120, the temperature at the upper end of the insulation pipe network 120, the temperature data of multiple temperature measuring points at the lower end of the insulation pipe network 120, and the temperature of the water cushion layer at the bottom of the storage tank;

[0065] The viscosity value near the insulated pipe network 120 is collected and recorded as parameter A;

[0066] The temperature at the upper end of the insulation pipe network 120 is collected and recorded as parameter T up ;

[0067] The temperature data of multiple temperature measuring points at the lower end of the insulation pipe network 120 are collected, and the temperature data set is recorded as T down A plurality of temperature measuring points are arranged vertically at the lower end of the heat-insulated pipe network 120, and the temperature measuring point closest to the heat-insulated pipe network 120 is recorded as the first temperature measuring point T down1 , and then record it as the second temperature measurement point T down2 , and so on, the specific number and spacing of temperature measuring points are determined according to the actual size of the tank, but not less than two temperature measuring points;

[0068] The temperature of the water cushion layer at the bottom of the tank is collected and recorded as parameter T 0 ;

[0069] The intelligent algorithm system 400 is used to process the data collected by the parameter measurement system 300 and feed back the processing results to the main control system 500; since the viscosity of water is much smaller than the viscosity of oil, the intelligent algorithm system 400 calculates the viscosity of water Q in real time according to the built-in viscosity algorithm 1 , and then determine whether the thermal insulation pipe network 120 is located in the water layer or in the oil layer:

[0070] If the viscosity measurement value A≤Q 1 When the insulated pipe 120 is located in the water layer, the intelligent algorithm system 400 feeds back the information to the main control system 500, and the main control system 500 controls the liquid level control system 200 to open the drain valve 220 to drain water out of the storage tank until the viscosity measurement value A>Q 1 , close the drain valve 220;

[0071] If the viscosity measurement value A>Q 1 , it means that the insulated pipe 120 is located in the oil layer, and the intelligent algorithm system 400 feeds back the information to the main control system 500, and the main control system 500 controls the liquid level control system 200 to keep the current state unchanged;

[0072] The intelligent algorithm system 400 is also used to process the temperature data set of each temperature measuring point at the lower end of the insulated pipe network 120. The intelligent algorithm system 400 calculates the heat transfer value Q according to the built-in heat transfer algorithm. down , thereby judging the insulation effect of the insulation pipe network 120:

[0073] If the heat transfer value Q down >0, indicating that heat is transferred downward, indicating that the insulation effect of the heat insulation pipe network 120 is poor and cannot block the heat wave from transferring downward. The intelligent algorithm system 400 feeds back the information to the main control system 500, and the main control system 500 controls the heat insulation system 100 to increase the flow rate of the cold source medium entering the heat insulation pipe network 120 to improve the heat exchange efficiency. However, the main control system 500 cannot down The value directly determines the specific increase degree of the cold source medium flow rate, and further determines it in combination with the thermal insulation efficiency value η. The intelligent algorithm system 400 calculates the thermal insulation efficiency value η according to the built-in thermal insulation efficiency algorithm, and then determines the specific increase degree of the cold source medium flow rate to avoid the flow rate increase being too small to block the heat wave from transmitting downward in time or the flow rate increase being too large to cause energy loss:

[0074] If the calculated value of the thermal insulation efficiency η is close to 1, it means that the thermal insulation effect is not much different from the set value, and the intelligent algorithm system 400 feeds back the result to the main control system 500, and the main control system 500 controls the cold source supply device 110 to appropriately increase the flow rate of the cold source medium passing into the thermal insulation pipe network 120;

[0075] If the calculated value of the thermal insulation efficiency η is much smaller than 1, it means that the thermal insulation effect is significantly different from the set value. The intelligent algorithm system 400 feeds back the result to the main control system 500, and the main control system 500 controls the cold source supply device 110 to significantly increase the flow rate of the cold source medium passing into the thermal insulation pipe network 120;

[0076] After changing the cold source medium flow rate for a period of time, the intelligent algorithm system 400 recalculates the heat transfer value Q down , determine whether to continue to increase the flow rate of the cold source supply;

[0077] If the heat transfer value Q down ≤0, indicating that heat is not transferred downward, indicating that the heat insulation pipe network 120 has a good heat insulation effect, can block the heat wave from being transferred downward, and prevent the occurrence of boiling and splashing. The intelligent algorithm system 400 feeds back the information to the main control system 500, and the main control system 500 controls the heat insulation system 100 to maintain the flow rate of the existing cold source medium passing into the heat insulation pipe network 120; Specific embodiment 2:

[0079] like Figure 1-3 As shown, according to the contents in the above specific embodiments, the following technical solutions are further disclosed:

[0080] The viscosity algorithm in the intelligent algorithm system 400 further includes the following contents:

[0081]

[0082] Where: Q 1 is the viscosity of water; D, B, C have been determined through experimental data and statistical analysis; T 0 is the measured temperature of the water cushion;

[0083] The heat transfer algorithm in the intelligent algorithm system 400 further includes the following contents:

[0084]

[0085] Where: Q down is the estimated amount of heat transferred downward per unit time; k is the heat transfer coefficient of the material; T down1 is the temperature value of the first temperature measurement point, T down2 is the temperature value of the second temperature measuring point; △L is the distance between the temperature measuring points;

[0086] The thermal insulation efficiency algorithm in the intelligent algorithm system 400 further includes the following contents:

[0087] η=(T up -T down1 ) / (T up -T 0 )

[0088] Where η is the thermal insulation efficiency, T up is the measured temperature value of the upper part of the thermal insulation pipe network, T down1 is the first temperature measurement value of the lower section of the thermal insulation pipe network, T 0 is the temperature of the water layer at the bottom of the tank. Specific embodiment three:

[0090] like Figure 1-3As shown, according to the contents of the above-mentioned specific embodiments 1 and 2, the following technical solutions are further disclosed: further verification examples are given for the contents of specific embodiment 1 and the intelligent algorithm processing system of specific embodiment 2, and the contents are as follows:

[0091] Parameter setting: The insulation pipe network is in normal position

[0092] At the beginning of the tank fire, the parameter measurement system 300 measures the water cushion temperature value T 0 and a viscosity value A near the insulated pipe network 120;

[0093] Measurement value T 0 =27℃, calculate the water layer viscosity value Q according to the viscosity algorithm 1 :

[0094] Q 1 =0.0837*10^(-3)Pa·s;

[0095] Measurement value A = 10^(-2)Pa·s;

[0096] Intelligent algorithm system 400 judges that A>Q 1 , indicating that the position of the heat-insulating pipe network 120 is correct, the intelligent algorithm system 400 feeds back the information to the main control system 500, and the main control system 500 controls the cold source supply system to supply the cold source medium into the heat-insulating pipe network 120;

[0097] After the cold source medium is introduced, the parameter measurement system 300 transmits the temperature data of the lower end of the heat insulation pipe network to the intelligent control system 400. Two temperature measurement points are set at the lower end, the first temperature measurement point and the second temperature measurement point:

[0098] The first temperature measurement point data: T down1 =70℃;

[0099] Second temperature measurement point data: T down2 =60℃;

[0100] The intelligent algorithm system 400 calculates the heat transfer value Q according to the temperature value down , and make a judgment:

[0101]

[0102] Substitute the data into the calculation Q down , it is obvious that the result of this calculation is a number greater than 0:

[0103] Q down >0;

[0104] This result indicates that the thermal insulation effect is poor and the heat wave cannot be isolated. The intelligent algorithm system 400 feeds back the information to the main control system 500, and the main control system 500 controls the cold source supply device 110 to increase the flow rate, but further judgment is required in combination with the thermal insulation efficiency. The parameter measurement system 300 transmits the upper temperature of the thermal insulation pipe network to the intelligent algorithm system 400, and the intelligent algorithm system 400 further calculates the thermal insulation efficiency η according to the built-in thermal insulation efficiency algorithm:

[0105] Insulated pipe network 120 upper end temperature T up =100℃, water cushion temperature T 0 =27℃, the temperature of the first temperature measuring point at the lower end of the insulation pipe network is T down1 =70℃Substitute into the following formula:

[0106] η=(T up -T down1 ) / (T up -T 0 )

[0107] The insulation efficiency value η = 0.41, which is much smaller than 1. The intelligent algorithm system 400 feeds back the information to the main control system 500, and the main control system 500 controls the cold source supply device 110 to significantly increase the cold source supply flow. After the flow changes for a period of time, it is recalculated until Q down If it is less than 0, the main control system 500 will maintain the current flow rate until the fire in the tank is extinguished; Specific embodiment four:

[0109] Step S1: After a fire occurs, the main control system 500 controls the cold source supply device 100 to start, so as to prepare the cold source medium;

[0110] Step S2: The parameter measurement system 300 measures the water layer temperature T 0 The viscosity value A is fed back to the intelligent algorithm system 400, and the intelligent algorithm system 400 calculates the viscosity value Q according to the viscosity algorithm 1 , if A>Q 1 , the main control system 500 does not act, if A≤Q 1 , the main control system 500 controls the drain valve to open and drain water out of the storage tank until A>Q 1 Then close it to ensure that the heat-insulated pipe network is located in the oil layer;

[0111] Step S3, after ensuring that the position of the heat-insulating pipe network 120 is correct, the main control system 500 controls the cold source supply system to supply cold source medium to the heat-insulating pipe network 120;

[0112] Step S4: The parameter measurement system 300 feeds back the temperature values ​​of the lower and upper ends of the heat insulation pipe network 120 to the intelligent algorithm system 400, and calculates Q according to the heat transfer algorithm. downvalue, and judge the heat transfer effect, and feed back the corresponding result to the main control system 500. down >0, the intelligent algorithm system 400 calculates the insulation efficiency value η according to the insulation efficiency algorithm, adjusts the flow rate of the cold source medium entering the insulation pipe network according to the insulation efficiency value η, and after adjusting for a period of time, judges and adjusts again until Q down ≤0; if Q down ≤0, the main control system 500 does not act and maintains the existing cold source medium supply flow;

[0113] Step S5: The parameter measurement system 300 monitors the temperature and viscosity data in real time, and feeds the data back to the intelligent algorithm system 400, which calculates Q in real time according to the built-in algorithm. down The value is obtained and the result is fed back to the main control system 500 in real time for corresponding actions to be taken until the fire is over.

[0114] The principle of boiling and splashing of oil inside a storage tank due to heat in an intelligent control system and method 1000 for suppressing boiling and splashing according to an embodiment of the present invention is well known to ordinary technicians in the field and will not be described in detail here.

[0115] In the description of this specification, the description with reference to the terms "embodiment", "example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0116] The specific embodiments described above further illustrate the purpose, technical solutions and beneficial effects of the present invention. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. An intelligent control system for suppressing boiling and splashing, characterized in that: The control system includes a main control system, a heat insulation system, a liquid level control system, a parameter measurement system and an intelligent algorithm system, wherein: The main control system is used to transmit and overall control the data between the thermal insulation system, the liquid level control and regulation system, the parameter measurement system, and the intelligent algorithm system, and is externally connected to the HMI for interactive control and display; The heat insulation system is used to block the transmission of heat waves to the water cushion layer after a storage tank fire occurs, and is connected to the HMI of the main control system through the network for interactive display, including a cold source supply device and a heat insulation pipe network. The cold source supply device is used to prepare a cold source medium and provide power for the transportation of the cold source medium. The built-in PLC intelligent control module is used to receive instructions from the main control system, including operations such as preparing the cold source medium and whether to increase the cold source medium transportation flow rate; the heat insulation pipe network is installed near the bottom of the storage tank and located inside the oil layer. After the cold source medium is introduced, the oil around the pipe network is continuously cooled, the heat wave is isolated from transmitting downward, the oil-water interface is prevented from reaching the boiling point temperature, and the occurrence of boiling and splashing is suppressed; The liquid level control system is used to ensure that the insulation pipe network is always located inside the oil layer, and mainly includes a drainage pipe and a drainage valve. The drainage pipe is installed at the lower end of the insulation pipe network, and is used to drain water from the storage tank outwards evenly and stably, control the thickness of the water cushion layer, and prevent the insulation pipe network from directly contacting the water cushion layer due to the water cushion layer being too thick, thereby losing the cooling effect on the oil layer; the drainage valve is installed at the tail end of the drainage pipe, and has a built-in PLC intelligent control module, which is used to receive instructions from the main control system to open or close the pipe drainage; The parameter measurement system is used to collect the viscosity value and temperature value in the system and feed back the collected data to the intelligent algorithm system and the main control system. It has multiple sensor arrays built in to collect the viscosity value near the insulated pipe network, which is recorded as parameter A; and collect the temperature at the upper end of the insulated pipe network, which is recorded as parameter T up ; Collect the temperature data of multiple temperature measuring points at the lower end of the insulation pipe network, and record the temperature data set as T down A plurality of temperature measuring points are arranged vertically at the lower end of the heat-insulated pipe network, and the temperature measuring point closest to the heat-insulated pipe network is recorded as the first temperature measuring point T down1 , and then record it as the second temperature measurement point T down2 , and so on, the specific number and spacing of the temperature measurement points are determined according to the actual size of the storage tank, but not less than two temperature measurement points; the temperature of the water cushion layer at the bottom of the storage tank is collected and recorded as T0; The intelligent algorithm system is used to process the data collected by the parameter measurement system and feed back the processing results to the main control system; since the viscosity value of water is much smaller than the viscosity value of oil, the intelligent algorithm system calculates the viscosity value Q1 of water in real time according to the built-in viscosity algorithm, and then determines whether the insulated pipe network is located in the water layer or in the oil layer: If the viscosity measurement value A≤Q1, it means that the insulated pipe is located in the water layer, and the intelligent algorithm system feeds back the information to the main control system, and the main control system controls the liquid level control system to open the drain valve to drain water out of the storage tank until the viscosity measurement value A>Q1, and then closes the drain valve; If the viscosity measurement value A>Q1, it means that the heat-insulated pipeline is located in the oil layer, and the intelligent algorithm system feeds back the information to the main control system, and the main control system controls the liquid level control system to maintain the current state unchanged; The intelligent algorithm system is also used to process the temperature data set of each temperature measuring point at the lower end of the insulated pipe network. The intelligent algorithm system calculates the heat transfer value Q according to the built-in heat transfer algorithm. down , so as to judge the insulation effect of the insulation pipe network: If the heat transfer value Q down >0, indicating that heat is transferred downward, indicating that the insulation effect of the heat-insulating pipe network is poor and cannot block the downward transmission of heat waves. The intelligent algorithm system feeds back information to the main control system, and the main control system controls the insulation system to increase the flow rate of the cold source medium entering the heat-insulating pipe network to improve the heat exchange efficiency. However, the main control system cannot down The value directly determines the specific increase degree of the cold source medium flow rate, and further determines it in combination with the thermal insulation efficiency value η. The intelligent algorithm system calculates the thermal insulation efficiency value η according to the built-in thermal insulation efficiency algorithm, and then determines the specific increase degree of the cold source medium flow rate to avoid the flow rate increase being too small to block the heat wave from transmitting downward in time or the flow rate increase being too large to cause energy loss: If the calculated value of the thermal insulation efficiency η is close to 1, it means that the thermal insulation effect is not much different from the set value, and the intelligent algorithm system feeds back the result to the main control system, and the main control system controls the cold source supply device to appropriately increase the flow rate of the cold source medium passing into the thermal insulation pipe network; If the calculated value of the thermal insulation efficiency η is much smaller than 1, it means that the thermal insulation effect is significantly different from the set value, and the intelligent algorithm system feeds back the result to the main control system, and the main control system controls the cold source supply device to significantly increase the flow rate of the cold source medium passing into the thermal insulation pipe network; After changing the cold source medium flow for a period of time, the intelligent algorithm system recalculates the heat transfer value Q down , determine whether to continue to increase the flow rate of the cold source supply; If the heat transfer value Q down ≤0, indicating that heat is not transferred downward, indicating that the thermal insulation effect of the thermal insulation pipe network is good, and it can block the heat wave from transferring downward, and prevent the occurrence of boiling and splashing. The intelligent algorithm system feeds back information to the main control system, and the main control system controls the thermal insulation system to maintain the flow rate of the existing cold source medium passing into the thermal insulation pipe network.

2. The intelligent control system for suppressing boiling and splashing according to claim 1 is characterized in that: The viscosity algorithm in the intelligent algorithm system further includes the following contents: Where: Q1 is the viscosity of water; D, B, C have been determined through experimental data and statistical analysis; T0 is the measured temperature of the water cushion; The heat transfer algorithm in the intelligent algorithm system further includes the following contents: Where: Q down is the estimated amount of heat transferred downward per unit time; k is the heat transfer coefficient of the material; T down1 is the temperature value of the first temperature measurement point, T down2 is the temperature value of the second temperature measuring point; △L is the distance between the temperature measuring points; The thermal insulation efficiency algorithm in the intelligent algorithm system further includes the following contents: η=(T up -T down1 ) / (T up -T0) Where η is the thermal insulation efficiency, T up is the measured temperature value of the upper part of the thermal insulation pipe network, T down1 is the first temperature measurement value of the lower section of the insulated pipe network, and T0 is the temperature value of the water layer at the bottom of the storage tank.

3. The intelligent control system for suppressing boiling and splashing according to claim 1 is characterized in that: The intelligent algorithm system can also determine the insulation effect by identifying the temperature at the lower end of the insulation pipe network: If the lower end temperature measurement value is much lower than the boiling point of water 100°C, it means that the flow rate of the cold source medium meets the requirements of cooling and heat insulation. The result is fed back to the main control system to keep the state unchanged. If the lower end temperature measurement value is close to the boiling point of water 100°C, it means that the flow rate of the cold source medium cannot meet the cooling and insulation requirements. The result is fed back to the main control system to increase the flow rate of the cold source medium entering the pipeline and improve the heat exchange efficiency.

4. A method for using an intelligent control system for suppressing boiling and splashing, used for an intelligent control system for suppressing boiling and splashing as claimed in any one of claims 1 to 3, characterized in that: The following steps are involved: Step S1: After a fire occurs, the main control system controls the cold source supply device to start, so as to prepare a cold source medium; Step S2, the parameter measurement system feeds back the water layer temperature value T0 and the viscosity value A to the intelligent algorithm system, and the intelligent algorithm system calculates the viscosity value Q1 according to the viscosity algorithm. If A>Q1, the main control system does not act. If A≤Q1, the main control system controls the drain valve to open and drain water out of the storage tank until A>Q1 and then closes to ensure that the thermal insulation pipe network is located in the oil layer; Step S3, after ensuring that the position of the heat-insulated pipe network is correct, the main control system controls the cold source supply system to supply cold source medium to the heat-insulated pipe network; Step S4: The parameter measurement system feeds back the temperature values ​​of the lower and upper ends of the heat insulation pipe network to the intelligent algorithm system, and calculates Q according to the heat transfer algorithm. down value, and judge the heat transfer effect, and feed back the corresponding results to the main control system. down >0, the intelligent algorithm system calculates the insulation efficiency value η according to the insulation efficiency algorithm, adjusts the flow rate of the cold source medium entering the insulation pipe network according to the insulation efficiency value η, and after adjusting for a period of time, judges and adjusts again until Q down ≤0; if Q down ≤0, the main control system does not operate and maintains the existing cold source medium supply flow; Step S5: The parameter measurement system monitors the temperature and viscosity data in real time, and feeds the data back to the intelligent algorithm system, which calculates Q in real time according to the built-in algorithm. down The value is obtained and the result is fed back to the main control system in real time for corresponding actions to be taken until the fire is over.

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