Intelligent control system and method for inhibiting boil over and splatter

Abstract

The application discloses an intelligent control system and method for inhibiting boiling overflow and splashing, which mainly comprises a heat insulation system, a liquid level control system, a parameter measurement system, an intelligent algorithm system and a main control system. The heat insulation system is internally provided with a heat insulation pipe network and a cold source supply device. The heat insulation pipe network is fixed in an oil layer and is supplied with low-temperature medium to block the transmission of heat waves to a water cushion layer at the bottom of the tank. The liquid level control system is used for ensuring that the heat insulation pipe network is located in the oil layer. The parameter measurement system measures the temperature of the upper and lower parts of the heat insulation pipe network, the temperature of the water cushion layer and the viscosity value near the heat insulation pipe network. The intelligent algorithm system processes the data of the parameter measurement system, judges the position of the heat insulation pipe network according to a viscosity algorithm, evaluates the heat insulation effect according to a heat transfer algorithm and adjusts the flow of the cold source according to a heat insulation efficiency algorithm. The main control system is used for receiving the results of the intelligent algorithm system, intelligently controlling the opening and closing of the liquid level control system and adjusting the flow of the cold source medium. The system can inhibit the fire boiling overflow and splashing of the storage tank and avoid the expansion of accidents.

Description

TECHNICAL FIELD

[0001] The application belongs to the field of intelligent devices for storage tanks, and particularly relates to an intelligent control system and method for inhibiting boiling overflow and splashing. BACKGROUND

[0002] With the rapid development of the petrochemical industry, the demand for crude oil storage is increasing, and the number of large oil storage tanks is increasing. During the storage process of oil products, the internal saturated water gradually separates from the oil products, and a water cushion layer is formed at the bottom of the tank. Once a fire occurs in the storage tank, the flame radiation heats the upper surface of the oil layer, the light components evaporate upward, and the heavy components carry a large amount of heat downward, which continuously acts on the oil-water interface, so that the water cushion layer at the oil-water interface reaches the boiling point to generate a large amount of steam, the steam carries the upper layer of flammable oil outward, forming boiling overflow and splashing, and causing serious casualties.

[0003] Through systematic investigation, it is found that the current devices for detecting tank combustion boiling overflow and simulating tank boiling overflow and spatter include: "Oil Tank Fire Boiling Overflow and Spatter Early Warning Technology Based on Sonar" (authorized public number: CN113160515B), which arranges sonar sensors on the upper and lower sides of the oil-water interface. The sonar probe detects the information of the gas bubbles in the oil to determine whether boiling overflow and spatter will occur and provide early warning; "Crude Oil Fire Boiling Overflow Disaster Simulation Experiment System and Consequence Evaluation Method" (authorized public number: CN117995049A), which simulates boiling overflow fire with different oil layer thickness and different water cushion thickness, and collects parameters such as internal temperature change, flame behavior, mass loss, and radiation intensity to analyze boiling overflow fire characteristics and evaluate the consequences of boiling overflow disaster; "Experimental Device for Studying Oil Tank Boiling Overflow and Spatter Characteristics" (authorized public number: CN115655412A), which simulates the heat transfer from the real burning flame to the liquid surface by using an electric grid heating method to induce boiling overflow and spatter phenomenon, and measures the trajectory of the spattered oil droplets to study the boiling overflow and spatter law of oil. Through the above investigation, it is found that significant progress has been made in the simulation and detection of tank combustion boiling overflow and spatter, but there are relatively few devices for inhibiting tank combustion boiling overflow and spatter. Related devices include: "Device for Preventing Boiling Overflow and Spatter Phenomenon of Crude Oil Tank Due to Combustion" (authorized announcement number: CN203997625U), which releases hollow heat-insulating ceramic microbeads to the oil-water interface after a tank fire occurs to block heat transfer between oil and water, slow down the water at the oil-water interface reaching the boiling point, and prevent boiling overflow and spatter phenomenon of tank fire; "Anti-boiling overflow control device for crude oil tank" (authorized announcement number: CN109896185B), which timely removes the water cushion after a tank fire to avoid boiling overflow and spatter of the water cushion, but draining water or oil after a fire will cause unstable combustion. The research group has also designed and developed "Device and method for inhibiting heavy oil combustion boiling overflow and spatter" (application publication number: CN118723361A), which cools the oil-water interface by ice-making to inhibit the occurrence of boiling overflow and spatter; "Device and method for inhibiting boiling overflow and spatter of crude oil tank fire" (application publication number: CN118723360A), which cools the oil-water interface by floating the heat exchanger to the oil-water interface to inhibit the occurrence of boiling overflow and spatter.

[0004] Through the existing technology research and analysis can be drawn, the existing device mainly through the release of the barrier material to block the heat wave downward transmission and the timely removal of the water mat layer to inhibit the tank combustion boiling overflow splash, but lack of sustained cooling of the oil layer and water layer, can not completely block the heat wave downward transmission, at the same time, the existing equipment by the way of drainage to reduce the risk of boiling overflow splash, can cause the tank oil level to reduce, change the flame combustion behavior, cause more complex fire combustion scene. In addition, the two devices developed by the research group are mainly to reduce the temperature of the oil-water interface to inhibit the occurrence of boiling overflow splash. The device of the present application is mainly to cool the oil layer directly, cut off the transfer of oil heavy components to the water mat layer from the source, but there is almost no simulation system about this. SUMMARY

[0005] The present application aims to solve at least one of the technical problems existing in the prior art. To this end, the present application proposes an intelligent control system for inhibiting boiling overflow splash, and the present application also aims to propose a use method of the intelligent control system for inhibiting boiling overflow splash. It comprises 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 for transmitting data between the heat insulation system, the liquid level control system, the parameter measurement system and the intelligent algorithm system and overall control, and is externally connected with HMI for interactive control display;

[0007] The heat insulation system is used for blocking the heat wave transmission to the water mat layer after the occurrence of tank fire, and is connected with the HMI of the main control system through network for interactive display, and comprises a cold source supply device and a heat insulation pipe network. The cold source supply device is used for preparing cold source medium and providing power for the transportation of the cold source medium, and is internally provided with a PLC intelligent control module for receiving instructions from the main control system, including preparing cold source medium and whether to increase the cold source medium transportation flow. The heat insulation pipe network is installed at a position close to the bottom of the tank and located inside the oil layer. After the cold source medium is input, the oil around the pipe network is continuously cooled, the heat wave downward transmission is blocked, the oil-water interface temperature is prevented from reaching the boiling point, and the occurrence of boiling overflow splash is inhibited.

[0008] Optionally, the cold source medium of the cold source supply device can be low-temperature liquid nitrogen or refrigerant.

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

[0010] The liquid level regulation system is used to ensure that the heat insulation pipe network is always located inside the oil layer, and comprises a drainage pipeline and a liquid discharge valve. The drainage pipeline is installed at the lower end of the heat insulation pipe network, and is used to uniformly and stably discharge water outside the storage tank, control the thickness of the water cushion layer, and prevent the heat insulation pipe network from being in direct contact with the water cushion layer due to the water cushion layer being too thick, so that the cooling effect on the oil layer is lost. The liquid discharge valve is installed at the tail end of the drainage pipeline, and is provided with a PLC intelligent control module inside, and is used to receive instructions from the main control system to open or close the pipeline drainage.

[0011] Advantageously, the drainage pipeline should cover the entire bottom surface as much as possible in terms of the arrangement shape of the water cushion layer. When discharging water outside the storage tank, it should be ensured that the discharge is stable, and that large fluctuations in the liquid level of the upper oil layer of the water cushion layer are avoided, so that the behavior of the flame burning at the top of the storage tank is changed, and a larger accident is caused.

[0012] The parameter measurement system is used to collect the viscosity value and the temperature value in the system, and feed the collected data back to the intelligent algorithm system and the main control system. A plurality of sensor arrays are built-in, and are used to collect the viscosity value near the heat insulation pipe network, which is recorded as parameter A; collect the temperature at the upper end of the heat insulation pipe network, which is recorded as parameter T up ; collect the temperature data of a plurality of temperature measurement points at the lower end of the heat insulation pipe network, and the temperature data set is recorded as T down . A plurality of temperature measurement points are vertically arranged at the lower end of the heat insulation pipe network, and the temperature measurement point closest to the heat insulation pipe network is recorded as the first temperature measurement point T down1 , and the second temperature measurement point T down2 is recorded in turn downwards, and so on. The specific arrangement number and arrangement spacing of the temperature measurement points are determined according to the actual size of the storage tank, but are 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.

[0013] The intelligent algorithm system is used to process the data collected by the parameter measurement system, and feed the processing result back 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 judges whether the heat insulation pipe network is located in the water layer or the oil layer:

[0014] If the viscosity measurement value A≤Q1, it indicates that the heat insulation pipe network is located in the water layer, and the intelligent algorithm system feeds the information back to the main control system. The main control system controls the liquid level regulation system to open the liquid discharge valve to discharge water outside the storage tank, until the viscosity measurement value A>Q1, and the liquid discharge valve is closed.

[0015] If the viscosity measurement value A>Q1, it indicates that the heat insulation pipe network is located in the oil layer, and the intelligent algorithm system feeds the information back to the main control system. The main control system controls the liquid level regulation system to remain in the existing state unchanged.

[0016] The intelligent algorithm system is also used for processing the temperature data set of each temperature measuring point at the lower end of the heat insulation pipe network, and the intelligent algorithm system calculates a heat transfer value Q according to an embedded heat transfer algorithm down , so as to determine the heat insulation effect of the heat insulation pipe network

[0017] If the heat transfer value Q down > 0, it represents that heat is transferred downward, which indicates that the heat insulation effect of the heat insulation pipe network is poor and the heat wave cannot be blocked from being transferred downward, and the intelligent algorithm system feeds back information to the main control system, and the main control system controls the heat insulation system to increase the flow of the cold source medium into the heat insulation pipe network to improve the heat exchange efficiency. However, the main control system cannot directly determine the specific increase degree of the flow of the cold source medium according to the heat transfer value Q down , and further determination in combination with the heat insulation efficiency value η is required. The intelligent algorithm system calculates the heat insulation efficiency value η according to an embedded heat insulation efficiency algorithm, and then determines the specific increase degree of the flow of the cold source medium, so as to avoid that the flow is increased too small to timely block the heat wave from being transferred downward or the flow is increased too large to cause energy loss

[0018] If the calculated value of the heat insulation efficiency η is close to 1, it indicates that the heat 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 of the cold source medium into the heat insulation pipe network

[0019] If the calculated value of the heat insulation efficiency η is much smaller than 1, it indicates that the heat insulation effect is greatly 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 greatly increase the flow of the cold source medium into the heat insulation pipe network

[0020] After the flow of the cold source medium is changed for a period of time, the intelligent algorithm system recalculates the heat transfer value Q down , and determines whether the flow of the cold source supply is continuously increased;

[0021] If the heat transfer value Q down ≤ 0, it represents that heat is not transferred downward, which indicates that the heat insulation effect of the heat insulation pipe network is good and the heat wave can be blocked from being transferred downward to prevent boiling overflow and spatter, and 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 existing flow of the 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] Wherein: Q1 is the viscosity value of water; D, B, C have been determined through experimental data and statistical analysis; T0 is the water cushion layer measurement temperature;

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

[0026]

[0027] Wherein: Q down is the estimated heat transfer 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 measurement point; △L is the distance between the temperature measurement points;

[0028] Advantageously, the heat transfer efficiency algorithm in the intelligent algorithm system further includes the following:

[0029] η=(T up -T down1 ) / (T up -T0)

[0030] Wherein, η is the heat insulation efficiency, T up is the temperature measurement value of the upper part of the heat insulated pipe network, T down1 is the first temperature measurement value of the lower section of the heat insulated pipe network, and T0 is the temperature value of the water layer at the bottom of the storage tank.

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

[0032] If the lower end temperature measurement value is much smaller than the boiling point of water 100℃, it indicates that the flow size of the cold source medium meets the cooling and heat insulation requirements, and the result is fed back to the main control system to maintain the state unchanged.

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

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

[0035] Step S1, after the fire occurs, the main control system controls the cold source supply device to start, realizing the preparation of the cold source medium;

[0036] Step S2, the parameter measurement system feeds back the water layer temperature value T0 and viscosity value A to the intelligent algorithm system, the intelligent algorithm system calculates viscosity value Q1 according to 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, drains water to the storage tank, and closes after A>Q1, to ensure that the heat insulation pipe network is located in the oil layer;

[0037] Step S3, after ensuring that the heat insulation pipe network is located correctly, the main control system controls the cold source supply system to supply cold source medium to the heat insulation pipe network;

[0038] Step S4, the parameter measurement system feeds back the temperature values of the lower end and the upper end of the heat insulation pipe network to the intelligent algorithm system, calculates Q down value according to heat transfer algorithm, and judges the heat transfer effect, and feeds back the corresponding result to the main control system, if Q down >0, the intelligent algorithm system calculates the heat insulation efficiency value η according to the heat insulation efficiency algorithm, adjusts the flow size of the cold source medium into the heat insulation pipe network according to the heat insulation efficiency value η, judges and adjusts again after a period of time, until Q down ≤0; if Q down ≤0, the main control system does not act, and keeps 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 back the data to the intelligent algorithm system, calculates Q down value in real time according to the built-in algorithm, and feeds back the result to the main control system in real time for corresponding action, until the fire is extinguished.

[0040] Additional aspects and advantages of the application will become apparent in the description that follows, or will be learned by the practice of the application. BRIEF DESCRIPTION OF DRAWINGS

[0041] Fig. 1 A flow chart of an intelligent control system for inhibiting boiling overflow and splashing of an embodiment of the application.

[0042] Fig. 2 A structure diagram of an intelligent control system for inhibiting boiling overflow and splashing of an embodiment of the application.

[0043] Fig. 3 A whole schematic diagram of an intelligent control system for inhibiting boiling overflow and splashing of an embodiment of the application.

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

[0045] A heat insulation system 100,

[0046] a cold source supply device 110, an insulation pipe network 120,

[0047] a liquid level regulation system 200,

[0048] a drain pipe 210, a liquid drain valve 230,

[0049] a parameter measurement system 300,

[0050] a temperature sensor 310, a viscosity measurement sensor 320,

[0051] an intelligent algorithm system 400,

[0052] a master control system 500, DETAILED DESCRIPTION

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

[0054] In the description of the present application, it should be understood that the terms "upper", "lower", "front", "back", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. indicate the orientation or positional relationship shown in the drawings, and are only used to facilitate the description of the present application and simplify the description, and do not indicate or imply that the devices or elements referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as a limitation of the present application. Specific embodiment one:

[0056] As shown in Figs. 1-3 An intelligent control system and method for inhibiting boiling overflow and splashing 1000, comprising: a master control system 500, an insulation system 100, a liquid level regulation system 200, a parameter measurement system 300 and an intelligent algorithm system 400, wherein:

[0057] The main control system 500 is used for transmitting data between the heat insulation system 100, the liquid level control system 200, the parameter measurement system 300 and the intelligent algorithm system 400 and overall control. The external connection HMI is used for interactive control display. The main control system 500 is the core of the whole system and is responsible for coordinating data transmission and overall control between various systems. It interacts with the heat insulation system 100, the liquid level control system 200, the parameter measurement system 300 and the intelligent algorithm system 400 through a standardized communication protocol such as Modbus or Ethernet, ensures accurate data transmission and timely execution of instructions, uses an industrial-grade embedded system or PLC as the core of the main control system, and combines HMI for interactive control display. The HMI provides an intuitive operation interface, enabling operators to easily monitor and control the entire system. The logic control of the main control system is achieved through programming, including data reception, processing, storage and instruction generation functions. The system can receive data from various subsystems, process them according to pre-set logic rules, and then send control instructions to each system. Through the main control system, the entire system is controlled, improving the overall coordination and response speed of the system, increasing the stability and reliability of the system, and ensuring the timely suppression of boiling and spattering of the storage tank, avoiding 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 the occurrence of a storage tank fire. It is connected to the HMI of the main control system through a network for interactive display. It includes a cold source supply device 110 and a heat insulation pipe network 120. The cold source supply device 110 is used to prepare cold source medium and provide power for the transportation of cold source medium. It has a built-in PLC intelligent control module for receiving instructions from the main control system 500, including preparing cold source medium and increasing the flow of cold source medium. The heat insulation pipe network 120 is installed near the bottom of the storage tank and inside the oil layer. After the cold source medium is introduced, it continuously cools the oil around the pipe network, blocks the downward transmission of heat waves, prevents the oil-water interface from reaching the boiling point temperature, and suppresses the occurrence of boiling and spattering.

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

[0060] Advantageously, the material of the heat insulation pipe network 120 should be selected to have good heat conductivity to improve heat exchange efficiency.

[0061] Advantageously, the effective cooling diameter of the heat insulation pipe network 120 is close to the diameter of the storage tank and is arranged parallel to the oil surface to effectively prevent the downward transmission of heat waves.

[0062] The liquid level control system 200 is used to ensure that the heat insulation network 120 is always located inside the oil layer. It mainly includes a drainage pipe 210 and a drain valve 220. The drainage pipe 210 is installed at the lower end of the heat insulation network 120 and is used to drain water from the storage tank evenly and stably, control the thickness of the water cushion layer, and prevent the heat insulation network 120 from directly contacting the water cushion layer due to the water cushion layer being too thick, thus losing its 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 drainage of the pipe.

[0063] Advantageously, the arrangement 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 storage tank, stability should be ensured to avoid large fluctuations in the oil level above the water cushion layer, which could alter the combustion behavior of the flame at the top of the storage tank and cause a greater accident.

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

[0065] The viscosity value near 120 of the insulation pipe network was collected and recorded as parameter A;

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

[0067] Temperature data were collected from multiple temperature measuring points at the lower end of the 120mm insulated pipe network. The set of temperature data is denoted as T. down Multiple temperature measuring points are vertically arranged at the lower end of the heat insulation pipe network 120. The temperature measuring point closest to the heat insulation pipe network 120 is denoted as the first temperature measuring point T. down1 The following points are designated as the second temperature measurement point T. down2 Similarly, the specific number and spacing of temperature measuring points are determined according to the actual size of the storage tank, but there should be no fewer than two temperature measuring points.

[0068] The temperature of the water cushion layer at the bottom of the storage tank is collected and recorded as parameter T0;

[0069] The intelligent algorithm system 400 processes the data collected by the parameter measurement system 300 and feeds the processing results back to the main control system 500. Since the viscosity of water is much lower than that of oil, the intelligent algorithm system 400 calculates the viscosity Q1 of water in real time based on its built-in viscosity algorithm, thereby determining whether the insulation pipe network 120 is located in a water layer or an oil layer.

[0070] If the viscosity measurement value A≤Q1, it indicates that the heat insulation pipeline 120 is located in the water layer, the intelligent algorithm system 400 feeds back the information to the main control system 500, the main control system 500 controls the liquid level regulation system 200 to open the liquid discharge valve 220, and discharges water to the outside of the storage tank until the viscosity measurement value A>Q1, and the liquid discharge valve 220 is closed;

[0071] If the viscosity measurement value A>Q1, it indicates that the heat insulation pipeline 120 is located in the oil 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 regulation system 200 to keep the existing state unchanged;

[0072] The intelligent algorithm system 400 is also used for processing the temperature data set of each temperature measurement point at the lower end of the heat insulation pipeline network 120, and the intelligent algorithm system 400 calculates the heat transfer value Q according to the built-in heat transfer algorithm down , so as to judge the heat insulation effect of the heat insulation pipeline network 120:

[0073] If the heat transfer value Q down >0, it represents that heat is transferred downward, which indicates that the heat insulation effect of the heat insulation pipeline network 120 is poor and cannot block the heat wave from being transferred downward, the intelligent algorithm system 400 feeds back the information to the main control system 500, the main control system 500 controls the heat insulation system 100 to increase the flow of the cold source medium into the heat insulation pipeline network 120 to improve the heat exchange efficiency, but the main control system 500 cannot directly judge the specific increase degree of the flow of the cold source medium according to the heat transfer value Q down , and further judgment is needed in combination with the heat insulation efficiency value η, the intelligent algorithm system 400 calculates the heat insulation efficiency value η according to the built-in heat insulation efficiency algorithm, and then judges the specific increase degree of the flow of the cold source medium, so as to avoid that the flow is increased too small to block the heat wave from being transferred downward in time or the flow is increased too large to cause energy loss:

[0074] If the heat insulation efficiency η calculation value is close to 1, it indicates that the heat insulation effect is not much 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 appropriately increase the flow of the cold source medium into the heat insulation pipeline network 120;

[0075] If the heat insulation efficiency η calculation value is much smaller than 1, it indicates that the heat insulation effect is greatly 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 greatly increase the flow of the cold source medium into the heat insulation pipeline network 120;

[0076] After the flow of the cold source medium is changed for a period of time, the intelligent algorithm system 400 recalculates the heat transfer value Q down , and judges whether the flow of the cold source supply is continuously increased;

[0077] If the heat transfer value Qdown ≤0 indicates that heat is not transferred downwards, which means that the insulation effect of the insulation network 120 is good, and it can block the heat wave from being transferred downwards and prevent the occurrence of boiling and splashing. The intelligent algorithm system 400 feeds the information back to the main control system 500, and the main control system 500 controls the insulation system 100 to maintain the current flow rate of the cold source medium into the insulation network 120. Specific Implementation Example 2:

[0079] like Figs. 1-3 As shown, based on the content of 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:

[0081]

[0082] Where: Q1 is the viscosity of water; D, B, and C have been determined through experimental data and statistical analysis; T0 is the measured temperature of the water cushion layer;

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

[0084]

[0085] Among them: Q down It estimates the amount of heat transferred downwards per unit time; k is the heat transfer coefficient of the substance; T down1 It is the temperature value at the first temperature measurement point, T. down2 It is the temperature value at 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:

[0087] η=(T up -T down1 ) / (T up -T0)

[0088] Where η is the insulation efficiency, T up T represents the measured temperature at the top of the insulated pipe network. down1 T0 is the first temperature measurement value of the lower section of the heat insulation pipeline network, and T0 is the water temperature value at the bottom of the storage tank. Specific Implementation Example 3:

[0090] like Figs. 1-3 As shown, based on the content of the above specific embodiments one and two, the following technical solutions are further disclosed: Further verification examples of the intelligent algorithm processing system for specific embodiments one and two are illustrated below:

[0091] Parameter setting: normal case of the location of the heat insulation pipe network

[0092] At the beginning of the fire of the storage tank, the parameter measurement system 300 measures the water cushion temperature value T0 and the viscosity value A near the heat insulation pipe network 120;

[0093] The measured value T0=27℃, and the water layer viscosity value Q1 is calculated according to the viscosity algorithm:

[0094] Q1=0.837*10^(-3) Pa·s;

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

[0096] The intelligent algorithm system 400 judges that A>Q1, which represents that the location of the heat insulation pipe network 120 is correct, and 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 cold source medium into the heat insulation 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 algorithm system 400, and two temperature measurement points are arranged at the lower end, which are the first temperature measurement point and the second temperature measurement point:

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

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

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

[0101]

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

[0103] Q down >0;

[0104] The result represents that the heat insulation effect is poor and cannot isolate heat waves, and 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, but further judgment needs to be combined with the heat insulation efficiency, and the parameter measurement system 300 transmits the temperature of the upper end of the heat insulation pipe network to the intelligent algorithm system 400, and the intelligent algorithm system 400 further calculates the heat insulation efficiency η according to the built-in heat insulation efficiency algorithm:

[0105] The temperature T up= 100℃, water cushion temperature T0 = 27℃, the first temperature measuring point temperature T down1 = 70℃ is substituted into the following formula:

[0106] η = (T up -T down1 ) / (T up -T0)

[0107] The insulation efficiency value η = 0.41, which is much smaller than 1, the intelligent algorithm system 400 feeds back information to the main control system 500, the main control system 500 controls the cold source supply device 110 to greatly increase the cold source supply flow, and after the flow changes for a period of time, it is recalculated until Q down is less than 0, the main control system 500 maintains the existing flow until the storage tank extinguishing is completed; Specific embodiment four:

[0109] Step S1, after the fire occurs, the main control system 500 controls the cold source supply device 100 to start, realizing the preparation of the cold source medium;

[0110] Step S2, the parameter measurement system 300 feeds back the water layer temperature T0 and the viscosity value A to the intelligent algorithm system 400, the intelligent algorithm system 400 calculates the viscosity value Q1 according to the viscosity algorithm, if A > Q1, the main control system 500 does not act, if A ≤ Q1, the main control system 500 controls the drain valve to open, and drains water outside the storage tank until A > Q1, and then closes, so that the insulation pipe network is located in the oil layer;

[0111] Step S3, after ensuring that the insulation pipe network 120 is positioned correctly, the main control system 500 controls the cold source supply system to supply the cold source medium to the insulation pipe network 120;

[0112] Step S4, the parameter measurement system 300 feeds back the temperature values of the lower end and the upper end of the insulation pipe network 120 to the intelligent algorithm system 400, calculates Q down value according to the heat transfer algorithm, and judges the heat transfer effect, and feeds back the corresponding result to the main control system 500, if Q down > 0, the intelligent algorithm system 400 calculates the insulation efficiency value η according to the insulation efficiency algorithm, adjusts the flow size of the cold source medium into the insulation pipe network, adjusts 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 back the data to the intelligent algorithm system 400, and calculates Q downThe value is compared with the preset value, and the result is fed back to the main control system 500 in real time to take corresponding actions until the fire is extinguished.

[0114] The principle of inhibiting boiling overflow and spatter of oil in the storage tank in the intelligent control system and method 1000 for inhibiting boiling overflow and spatter according to the embodiments of the present application is known to those skilled in the art, and is not described in detail here.

[0115] In the description of the present specification, the description referring to the terms "embodiment", "example", and the like means that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present application. In the present specification, illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, 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 above-described specific embodiments further specifically describe the purposes, technical solutions, and beneficial effects of the present application. It should be understood that the above-described specific embodiments are merely specific embodiments of the present application and are not intended to limit the present application. Any modification, equivalent replacement, improvement, and the like made within the spirit and principle of the present application should be included in the protection scope of the present application.

Claims

1. An intelligent control system for inhibiting boil over spatter, the system comprising: The control system comprises a main control system, an insulation system, a liquid level regulation system, a parameter measurement system and an intelligent algorithm system, wherein: The main control system is used for transmitting data between the insulation system, the liquid level regulation system, the parameter measurement system and the intelligent algorithm system and overall control, and is externally connected to an HMI for interactive control display; The insulation system is used for blocking the transmission of heat waves to the water cushion after a fire occurs in the storage tank, and is connected to the HMI of the main control system through a network for interactive display, and comprises a cold source supply device and an insulation pipe network, the cold source supply device is used for preparing a cold source medium and simultaneously providing power for the delivery of the cold source medium, and is internally provided with a PLC intelligent control module for receiving instructions from the main control system, including preparation of the cold source medium and whether to increase the delivery flow of the cold source medium; the insulation pipe network is installed at a position close to the bottom of the storage tank and is located inside the oil layer, and after the cold source medium is introduced, the oil around the pipe network is continuously cooled, the downward transmission of heat waves is blocked, the boiling point temperature of the oil-water interface is avoided, and the occurrence of boiling overflow and splashing is inhibited; The liquid level regulation system is used for ensuring that the insulation pipe network is always located inside the oil layer, and comprises a drainage pipe and a liquid discharge valve, the drainage pipe is installed at the lower end of the insulation pipe network and is used for uniformly and stably discharging water outside the storage tank, controlling the thickness of the water cushion and preventing the insulation pipe network from being in direct contact with the water cushion due to the water cushion being too thick, so that the cooling effect on the oil layer is lost; the liquid discharge valve is installed at the tail end of the drainage pipe and is internally provided with a PLC intelligent control module for receiving instructions from the main control system to open or close the pipe for drainage; The parameter measurement system is used for collecting the viscosity value and the temperature value in the system, and feeding back the collected data to the intelligent algorithm system and the main control system, a plurality of sensor arrays are arranged, the viscosity value near the heat insulation pipe network is collected and is recorded as parameter A; the temperature at the upper end of the heat insulation pipe network is collected and is recorded as parameter T up ; the temperature data of a plurality of temperature measurement points at the lower end of the heat insulation pipe network are collected, and the temperature data set is recorded as T down , a plurality of temperature measurement points are arranged vertically at the lower end of the heat insulation pipe network, the temperature measurement point closest to the heat insulation pipe network is recorded as a first temperature measurement point T down1 , and is recorded as a second temperature measurement point T down2 in turn, and so on, the specific arrangement number and arrangement interval 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 is recorded as T0; The intelligent algorithm system is used for processing the data collected by the parameter measurement system and feeding back the processing result to the main control system; since the viscosity value of water is far less 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 further judges whether the insulation pipe network is located in the water layer or the oil layer: If the viscosity measurement value A is less than or equal to Q1, it indicates that the insulation pipe network is located in the water layer, the intelligent algorithm system feeds back information to the main control system, and the main control system controls the liquid level regulation system to open the liquid discharge valve to discharge water outside the storage tank until the viscosity measurement value A is greater than Q1, and the liquid discharge valve is closed; If the viscosity measurement value A is greater than Q1, it indicates that the insulation pipe network is located in the oil layer, the intelligent algorithm system feeds back information to the main control system, and the main control system controls the liquid level regulation system to keep the existing state unchanged; The intelligent algorithm system is also used for processing temperature data sets of each temperature measuring point at the lower end of the heat insulation pipe network, and the intelligent algorithm system calculates a heat transfer value Q according to a built-in heat transfer algorithm down , so as to judge the heat insulation effect of the heat insulation pipe network. If the heat transfer value Q down > 0, it represents that heat is transferred downward, which indicates that the heat insulation effect of the heat insulation pipe network is poor and cannot block the heat wave from being transferred downward. The intelligent algorithm system feeds back information to the main control system, and the main control system controls the heat insulation system to increase the flow of the cold source medium into the heat insulation pipe network to improve the heat exchange efficiency. However, the main control system cannot directly determine the specific increase degree of the cold source medium flow according to the heat transfer value Q down , and further judgment is required in combination with the heat insulation efficiency value η. The intelligent algorithm system calculates the heat insulation efficiency value η according to the built-in heat insulation efficiency algorithm, and then judges the specific increase degree of the cold source medium flow, so as to avoid that the flow is increased too small to timely block the heat wave from being transferred downward or the flow is increased too large to cause energy loss. If the insulation efficiency η calculation value is close to 1, it indicates that the insulation effect is not much different from the set value, 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 of the cold source medium introduced into the insulation pipe network; If the insulation efficiency η calculation value is far less than 1, it indicates that the insulation effect is greatly different from the set value, 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 greatly increase the flow of the cold source medium introduced into the insulation pipe network; The intelligent algorithm system recalculates the heat transfer value Q after changing the cold source medium flow for a period of time down , and determines whether to continuously increase the flow size of the cold source supply If the heat transfer value Q down ≤ 0, it means that heat is not transferred downward, indicating that the heat insulation pipe network has good heat insulation effect, can block the downward transmission of heat waves, prevent the occurrence of boiling and spattering, and the intelligent algorithm system feeds back information to the main control system, and the main control system controls the heat insulation system to keep the existing cold source medium into the heat insulation pipe network. The flow size.

2. The intelligent control system to inhibit boiling and splashing according to claim 1, wherein, The viscosity algorithm in the intelligent algorithm system further comprises the following contents: Wherein: Q1 is the viscosity value of water; D, B, C have been determined through experimental data and statistical analysis; T0 is the water cushion layer measurement temperature; The heat transfer algorithm in the intelligent algorithm system further includes the following: wherein: Q down is the estimated 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 measurement point; and ΔL is the distance between the temperature measurement points. The heat insulation efficiency algorithm in the intelligent algorithm system further includes the following: η = (T up -T down1 ) / (T up -T0) wherein η is the thermal insulation efficiency, T up is the temperature measured at the upper part of the insulated pipe network, T down1 is the first temperature measured at the lower section of the insulated pipe network, and T0is the temperature value of the water layer at the bottom of the tank.

3. The intelligent control system to inhibit boiling and splashing according to claim 1, wherein, The intelligent algorithm system can also judge the heat insulation effect by identifying the temperature of the lower end of the heat insulation pipe network: If the lower end temperature measurement value is much smaller than the boiling point value of water 100℃, it indicates that the cold source medium flow size meets the cooling and heat insulation requirements, and 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 value of water 100℃, it indicates that the cold source medium flow size cannot meet the cooling and heat insulation requirements, and the result is fed back to the main control system to increase the cold source medium flow in the pipeline and improve the heat exchange efficiency.

4. A method of using an intelligent control system for inhibiting boiling over and spatter, for an intelligent control system for inhibiting boiling over and spatter according to any one of claims 1 to 3, characterized in that The method comprises the following steps: Step S1, after the fire occurs, the main control system controls the cold source supply device to start, realizing the preparation of the cold source medium; Step S2, the parameter measurement system feeds back the water layer temperature T0 and the viscosity value A to the intelligent algorithm system, 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 liquid discharge valve to open, and the water is discharged to the storage tank until A>Q1 after closing, ensuring that the heat insulation pipe network is located in the oil layer; Step S3, after ensuring that the position of the heat insulation pipe network is correct, the main control system controls the cold source supply system to supply cold source medium to the heat insulation pipe network; Step S4, the parameter measurement system feeds back the temperature values of the lower end and upper end of the heat insulation pipe network to the intelligent algorithm system, calculates Q according to the heat transfer algorithm, and judges the heat transfer effect, and feeds back the corresponding result to the main control system. If Q > 0, the intelligent algorithm system calculates the heat insulation efficiency value η according to the heat insulation efficiency algorithm, adjusts the flow size of the cold source medium into the heat insulation pipe network, judges and adjusts again after a period of time, and adjusts until Q ≤ 0; if Q ≤ 0, the main control system does not act, and the existing cold source medium supply flow is maintained. down down down down ​​​​ Step S5, the parameter measurement system monitors temperature and viscosity data in real time, and feeds back the data to the intelligent algorithm system, calculates Q down value in real time according to the built-in algorithm, and feeds back the result to the master control system in real time for corresponding action until the fire is over.

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