Automatic spraying control method and system for fuel tank

Abstract

The invention discloses an automatic spraying control method and system for a fuel tank, and the method comprises the steps: obtaining the temperature monitoring data of the fuel tank, and carrying out the prediction, and obtaining the temperature prediction data; evaluating the high-temperature degree of the fuel tank based on the temperature prediction data to obtain a high-temperature degree evaluation value, and setting an initial control condition of the automatic spraying device according to the high-temperature degree evaluation value; determining temperature change characteristics of the fuel tank within a period of time after spraying, and determining a temperature change coefficient of the fuel tank based on the temperature change characteristics; and determining a control correction coefficient of the automatic spraying device based on the temperature change coefficient, and correcting an initial control condition of the automatic spraying device according to the control correction coefficient. By analyzing the temperature response characteristics in the spraying process and dynamically optimizing the control parameters, a complete monitoring-prediction-control-feedback closed loop is formed, the control precision is remarkably improved, timely and effective intervention is ensured when risks occur, energy and resources are saved, and unnecessary resource waste and equipment abrasion are avoided.

Description

Technical Field

[0001] This invention relates to the field of spray control technology, and in particular to an automatic spray control method and system for fuel tanks. Background Technology

[0002] As a critical facility in the petrochemical industry and energy storage sector, the safe operation of fuel oil tanks is directly related to the safety of personnel and property, as well as the environment. During fuel oil storage, factors such as changes in ambient temperature, solar radiation, and internal chemical reactions can cause abnormal increases in the tank temperature, leading to increased vapor pressure, increased evaporation losses, and even serious safety hazards such as fire and explosion.

[0003] However, traditional fire protection for fuel tanks mainly relies on sprinkler systems triggered by fixed temperature thresholds. When the detected temperature reaches a preset critical value, the sprinkler system automatically activates to cool the tank. However, this simple and crude control method has obvious limitations. The response lag makes it impossible to provide early warnings, the fixed thresholds are difficult to adapt to complex and changing environmental conditions, and the lack of predictive capabilities means that the system can only respond passively after a hazard occurs. At the same time, it often results in water waste and equipment damage. Summary of the Invention

[0004] To address the aforementioned technical problems, this invention provides an automatic fuel tank spray control method and system, comprising:

[0005] Acquire temperature monitoring data from the fuel tank, and make predictions based on the temperature monitoring data and a preset prediction model to obtain temperature prediction data;

[0006] The high temperature level of the fuel tank is assessed based on temperature prediction data to obtain a high temperature level assessment value, and the initial control conditions of the automatic spray device are set according to the high temperature level assessment value.

[0007] Determine the temperature change characteristics of the fuel tank over a period of time after spraying, and determine the temperature change coefficient of the fuel tank based on the temperature change characteristics;

[0008] The control correction coefficient of the automatic sprinkler system is determined based on the temperature change coefficient, and the initial control conditions of the automatic sprinkler system are corrected according to the control correction coefficient.

[0009] Furthermore, the step of acquiring temperature monitoring data from the fuel tank and making predictions based on the temperature monitoring data and a preset prediction model to obtain temperature prediction data includes:

[0010] Acquire temperature monitoring data from the fuel tank and extract multidimensional data features from the temperature monitoring data;

[0011] A dataset is constructed based on temperature monitoring data and corresponding multidimensional data features. The dataset is then input into a preset prediction model for prediction output, resulting in temperature prediction data for a future period.

[0012] Furthermore, the assessment of the high temperature level of the fuel tank based on temperature prediction data to obtain a high temperature level assessment value includes:

[0013] Determine the preset minimum temperature threshold and identify data points exceeding the minimum temperature threshold from the temperature prediction data;

[0014] Determine the quantity and average of these data points, and evaluate the quantity and average values ​​respectively to obtain the quantity evaluation value and the average evaluation value;

[0015] The temperature rating of the fuel tank is calculated based on the quantity assessment value and the average assessment value.

[0016] Furthermore, the formula for calculating the high temperature assessment value of the fuel tank is as follows:

[0017] P = a * N + b * S,

[0018] Where P is the high temperature assessment value of the fuel tank, a is the preset first conversion coefficient, N is the quantity assessment value, b is the preset second conversion coefficient, and S is the average assessment value.

[0019] Furthermore, setting the initial control conditions for the automatic sprinkler system based on the high temperature assessment value includes:

[0020] The high temperature assessment value P of the electrolysis process and the pre-set standard high temperature assessment value P0 are obtained, and the first preset difference P1, the second preset difference P2, the third preset difference P3 and the fourth preset difference P4 are determined, and P1 < P2 < P3 < P4; the first preset working conditions F1 (a1, b1), the second preset working conditions F2 (a2, b2), the third preset working conditions F3 (a3, b3) and the fourth preset working conditions F4 (a4, b4) of the automatic spraying device are preset, where a1-a4 are the first to fourth preset spraying liquid temperatures, and a1 < a2 < a3 < a4, and b1-b4 are the first to fourth preset spraying liquid flow rates, and b1 < b2 < b3 < b4;

[0021] The preset working condition Fi is selected as the initial control condition of the automatic sprinkler device based on the difference between the high temperature assessment value ΔP and the preset standard high temperature assessment value P0.

[0022] When P - P0 ≤ P1, the first preset working condition F1 is selected as the initial control condition of the automatic sprinkler device.

[0023] When P1 < P - P0 ≤ P2, the second preset working condition F2 is selected as the initial control condition of the automatic sprinkler device.

[0024] When P2 < P - P0 ≤ P3, the third preset working condition F3 is selected as the initial control condition of the automatic sprinkler device.

[0025] When P3 < P - P0 ≤ P4, the fourth preset working condition F4 is selected as the initial control condition of the automatic sprinkler device.

[0026] The automatic sprinkler system is controlled to operate based on the selected preset initial control condition Fi(ai, bi) as the initial control condition.

[0027] Furthermore, determining the temperature change characteristics of the fuel tank over a period of time after spraying, and determining the temperature change coefficient of the fuel tank based on the temperature change characteristics, includes:

[0028] Acquire temperature monitoring data over a period of time after the fuel tank is sprayed, and construct a temperature change curve over time based on the temperature monitoring data;

[0029] The amplitude and slope of temperature change are determined from the temperature change curve, and these values ​​are identified as the characteristics of temperature change.

[0030] The temperature change coefficient of the fuel tank is obtained by determining the preset reference temperature change amplitude and reference slope values, and by calculating based on the temperature change amplitude and slope values ​​and the reference temperature change amplitude and reference slope values.

[0031] Furthermore, the formula for calculating the temperature change coefficient of the fuel tank is as follows:

[0032] k=q*(β*(d / d0)+γ*(s / s0)),

[0033] Where k is the temperature change coefficient of the fuel tank, q is the preset third conversion coefficient, β is the first preset weight, d is the temperature change amplitude value, d0 is the reference temperature change amplitude value, γ is the second preset weight, s is the slope value, and s0 is the reference slope value.

[0034] Furthermore, determining the control correction coefficient of the automatic sprinkler system based on the temperature change coefficient includes:

[0035] A preset control correction coefficient-temperature change coefficient interval correspondence is set in advance. For each temperature change coefficient interval, a corresponding preset control correction coefficient is associated with it.

[0036] The temperature change coefficient of the fuel tank is obtained, and based on the mapping relationship between the temperature change coefficient interval to which the temperature change coefficient belongs and the preset control correction coefficient-temperature change coefficient interval correspondence, the preset control correction coefficient corresponding to the temperature change coefficient interval is selected and determined as the control correction coefficient of the automatic spraying device.

[0037] Furthermore, the step of correcting the initial control conditions of the automatic sprinkler system according to the control correction coefficient includes:

[0038] Obtain the control correction coefficient ki, and correct the initial control conditions Fi(ai, bi) of the automatic sprinkler device according to the control correction coefficient ki to obtain Fi(ai*ki, bi*ki), and control the automatic sprinkler device to perform automatic sprinkler according to the corrected working conditions Fi(ai*ki, bi*ki).

[0039] The present invention also provides an automatic spray control system for fuel tanks, comprising:

[0040] The acquisition module is used to acquire temperature monitoring data from the fuel tank and make predictions based on the temperature monitoring data and a preset prediction model to obtain temperature prediction data.

[0041] The setting module is used to assess the high temperature of the fuel tank based on temperature prediction data, obtain a high temperature assessment value, and set the initial control conditions of the automatic spraying device according to the high temperature assessment value.

[0042] The calculation module is used to determine the temperature change characteristics of the fuel tank over a period of time after spraying, and to determine the temperature change coefficient of the fuel tank based on the temperature change characteristics.

[0043] The correction module is used to determine the control correction coefficient of the automatic sprinkler device based on the temperature change coefficient, and to correct the initial control conditions of the automatic sprinkler device according to the control correction coefficient.

[0044] Compared with the prior art, the automatic spray control method and system for fuel tanks according to embodiments of the present invention have the following advantages:

[0045] This invention uses real-time temperature monitoring data combined with a predictive model to predict the temperature change trend of fuel tanks in advance. Based on the temperature prediction data, it assesses the degree of high temperature and compares the predicted temperature with a safety threshold to obtain a high temperature assessment value, thereby quantifying the future high temperature risk of the fuel tank and providing a basis for spray control. Initial control conditions are set according to the high temperature assessment value so that the spray device automatically starts when the high temperature risk reaches a certain level. The design of the initial control conditions aims to prevent the temperature from rising further, while avoiding unnecessary spraying, saving water resources and reducing the impact on the tank.

[0046] After the spraying device is started, by monitoring the temperature change characteristics of the fuel tank and analyzing the temperature change characteristics after spraying, a temperature change coefficient can be calculated. This coefficient quantifies the efficiency of spraying cooling. Based on the temperature change coefficient, a control correction coefficient is determined, and the initial control conditions are adjusted. This allows for adaptive optimization of the spraying control strategy, thereby improving water resource utilization efficiency and reducing the potential impact of excessive spraying on the fuel tank while ensuring the cooling effect.

[0047] In summary, this invention achieves intelligent and precise control of the automatic fuel tank spray system by combining predictive and feedback control. It can take proactive measures to prevent temperatures from rising to dangerous levels, thus improving system safety and reliability. By correcting control parameters based on post-spray temperature changes, the system can automatically adjust the spray strategy according to actual cooling effects and external environmental conditions, improving adaptability and efficiency. It avoids over-spraying that may occur with traditional fixed threshold control, saving water resources and reducing unnecessary equipment wear and tear. Real-time monitoring and dynamic adjustment ensure that the fuel tank remains within a safe temperature range, reducing the risk of fire and explosion. Attached Figure Description

[0048] Figure 1 This is a schematic diagram of the flow structure of the automatic spray control method for fuel tanks in an embodiment of the present invention;

[0049] Figure 2 This is a schematic diagram of the composition of the automatic spray control system for fuel tanks in an embodiment of the present invention. Detailed Implementation

[0050] The specific embodiments of this application will be described in further detail below with reference to the accompanying drawings and examples. The following examples are for illustrative purposes only and are not intended to limit the scope of the invention.

[0051] In the description of this application, it should be understood that the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the platform or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this application.

[0052] The terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this application, unless otherwise stated, "a plurality of" means two or more.

[0053] like Figure 1 As shown in the embodiments of this application, an automatic spray control method for a fuel tank is provided, including: S100: acquiring temperature monitoring data of the fuel tank, and making predictions based on the temperature monitoring data and a preset prediction model to obtain temperature prediction data; S200: evaluating the high temperature level of the fuel tank based on the temperature prediction data to obtain a high temperature level evaluation value, and setting the initial control conditions of the automatic spray device according to the high temperature level evaluation value; S300: determining the temperature change characteristics of the fuel tank over a period of time after spraying, and determining the temperature change coefficient of the fuel tank based on the temperature change characteristics; S400: determining the control correction coefficient of the automatic spray device based on the temperature change coefficient, and correcting the initial control conditions of the automatic spray device according to the control correction coefficient.

[0054] Furthermore, this invention, through real-time temperature monitoring data and a predictive model, can predict the temperature change trend of the fuel tank in advance. Based on the temperature prediction data, the degree of high temperature is assessed, and the predicted temperature is compared with a safety threshold to obtain a high temperature assessment value. This quantifies the future high temperature risk of the fuel tank and provides a basis for spray control. Initial control conditions are set according to the high temperature assessment value, so that the spray device automatically starts when the high temperature risk reaches a certain level. The initial control conditions are designed to prevent further temperature increases, avoid unnecessary spraying, save water resources, and reduce the impact on the tank. After the spray device starts, by monitoring the temperature change characteristics of the fuel tank and analyzing the temperature change characteristics after spraying, a temperature change coefficient can be calculated. This coefficient quantifies the efficiency of spray cooling, and a control correction coefficient is determined based on the temperature change coefficient. Adjusting the initial control conditions allows for adaptive optimization of the spray control strategy, thereby improving water resource utilization efficiency while ensuring cooling effectiveness and reducing the potential impact of excessive spraying on the fuel tank. In summary, this invention achieves intelligent and precise control of the automatic fuel tank spray system through a combination of predictive and feedback control. It can take proactive measures to prevent temperatures from rising to dangerous levels, improving system safety and reliability. By correcting control parameters based on post-spray temperature changes, the spray strategy can be automatically adjusted according to actual cooling effects and external environmental conditions, improving system adaptability and efficiency. It avoids the excessive spraying that can occur with traditional fixed threshold control, saving water resources and reducing equipment damage caused by unnecessary spraying. Real-time monitoring and dynamic adjustment ensure that the fuel tank remains within a safe temperature range, reducing the risk of fire and explosion.

[0055] In an embodiment of this application, an automatic spray control method for fuel tanks is provided. The method involves acquiring temperature monitoring data of the fuel tank and making predictions based on the temperature monitoring data and a preset prediction model to obtain temperature prediction data. The method includes: acquiring temperature monitoring data of the fuel tank and extracting multidimensional data features from the temperature monitoring data; constructing a dataset based on the temperature monitoring data and the corresponding multidimensional data features; and inputting the dataset into a preset prediction model for prediction output to obtain temperature prediction data for a future period.

[0056] Specifically, high-frequency temperature monitoring data is collected in real time by temperature sensors deployed at key parts of the tank. Deep feature extraction is performed on this raw temperature data to determine multi-dimensional data features, which are then used to construct a dataset. This dataset is input into a pre-set prediction model. Through training, the model can output high-precision temperature prediction data for specific future time periods, including point prediction values. This step, by integrating multi-dimensional data features and advanced algorithms, can accurately predict temperature change trends, especially significantly improving the accuracy of predicting abnormal temperature rises. It represents a qualitative leap from "passive response" to "proactive prevention," enabling early identification of potential high-temperature risks and providing a valuable time window for taking preventative measures, greatly reducing the probability of fire and explosion accidents. The temperature prediction data lays the foundation for intelligent control of the sprinkler system, allowing control parameters to be preset based on the prediction results, achieving more precise and efficient cooling control and avoiding resource waste.

[0057] In an embodiment of this application, an automatic spray control method for fuel tanks is provided. The method for evaluating the high temperature level of the fuel tank based on temperature prediction data to obtain a high temperature level evaluation value includes: determining a preset minimum temperature threshold and identifying data points exceeding the minimum temperature threshold from the temperature prediction data; determining the quantity and average value of these data points, and evaluating and taking values ​​for the quantity and average value respectively to obtain a quantity evaluation value and an average evaluation value; and calculating the high temperature level evaluation value of the fuel tank based on the quantity evaluation value and the average evaluation value.

[0058] Specifically, a scientific minimum temperature threshold is pre-set, and all data points exceeding this threshold are accurately identified from temperature prediction data. These data points undergo dual quantitative analysis: firstly, the number of exceeding data points is statistically analyzed, reflecting the duration of the high temperature; secondly, the average temperature of these exceeding points is calculated, reflecting the intensity of the high temperature. The number and average values ​​are evaluated separately to obtain a quantitative assessment value and an average assessment value. These two assessment values ​​are then combined into a single high-temperature severity assessment value, which accurately reflects the comprehensive thermal risk level faced by the fuel tank in the future. This step considers both the duration and intensity of the high temperature, making it more comprehensive and accurate than a single-parameter assessment. For example, a short-lived high-temperature peak and a long-term moderate exceedance will receive different risk assessments in this system, which better meets the needs of actual safety management. The high-temperature severity assessment value provides a precise basis for setting control parameters for the spray system. When the assessment value is low, an energy-saving mode can be used for preventative cooling; when the assessment value is high, a full-power cooling mode is activated, achieving the best balance between safety and economy. The quantitative assessment results provide managers with a clear basis for decision-making, avoiding the subjectivity and uncertainty of experience-based judgments, and improving the standardization and scientific nature of the entire safety management process.

[0059] In an embodiment of this application, an automatic spray control method for a fuel tank is provided, wherein the formula for calculating the high temperature assessment value of the fuel tank is:

[0060] P = a * N + b * S,

[0061] Where P is the high temperature assessment value of the fuel tank, a is the preset first conversion coefficient, N is the quantity assessment value, b is the preset second conversion coefficient, and S is the average assessment value.

[0062] In an embodiment of this application, an automatic spray control method for a fuel tank is provided. The initial control conditions of the automatic spray device are set based on a high-temperature assessment value, including: acquiring a high-temperature assessment value P for the electrolysis process and a pre-set standard high-temperature assessment value P0; and determining pre-set first preset difference P1, second preset difference P2, third preset difference P3, and fourth preset difference P4, where P1 < P2 < P3 < P4; and pre-setting first preset operating conditions F1(a1, b1), second preset operating conditions F2(a2, b2), third preset operating conditions F3(a3, b3), and fourth preset operating conditions F4(a4, b4) for the automatic spray device, where a1-a4 are the temperatures of the first to fourth preset spray liquids, and a1 < a2 < a3 < a4; b1-b4 are the temperatures of the first to fourth preset spray liquids, respectively. Flow rate, b1 < b2 < b3 < b4; Based on the difference between the high temperature assessment value ΔP and the preset standard high temperature assessment value P0, the preset working condition Fi is selected as the initial control condition of the automatic sprinkler device; When P - P0 ≤ P1, the first preset working condition F1 is selected as the initial control condition of the automatic sprinkler device; When P1 < P - P0 ≤ P2, the second preset working condition F2 is selected as the initial control condition of the automatic sprinkler device; When P2 < P - P0 ≤ P3, the third preset working condition F3 is selected as the initial control condition of the automatic sprinkler device; When P3 < P - P0 ≤ P4, the fourth preset working condition F4 is selected as the initial control condition of the automatic sprinkler device; The automatic sprinkler device is controlled to operate according to the selected preset initial control condition Fi (ai, bi).

[0063] In an embodiment of this application, an automatic spray control method for a fuel tank is provided. The method for determining the temperature change characteristics of the fuel tank over a period of time after spraying, and determining the temperature change coefficient of the fuel tank based on the temperature change characteristics, includes: acquiring temperature monitoring data of the fuel tank over a period of time after spraying, and constructing a time-progressing temperature change curve based on the temperature monitoring data; determining the temperature change amplitude and slope values ​​from the temperature change curve, and defining the temperature change amplitude and slope values ​​as temperature change characteristics; determining a pre-set reference temperature change amplitude and reference slope values, and calculating the temperature change coefficient of the fuel tank based on the temperature change amplitude and slope values ​​and the reference temperature change amplitude and reference slope values.

[0064] Specifically, temperature monitoring data is continuously collected over a specific time period, and a time-temperature change curve is constructed based on this data. Mathematical analysis of this curve extracts the temperature change amplitude (the difference between the initial and lowest temperatures) and slope (the average rate of temperature decrease). The measured temperature change characteristics are compared with pre-set benchmark values, and a standardized temperature change coefficient is generated by comprehensively considering the amplitude and slope ratios. This coefficient accurately reflects the actual cooling efficiency of the spraying operation. This step transforms qualitative judgment into quantitative evaluation. The temperature change coefficient provides a precise measure of cooling effect, enabling maintenance personnel to objectively evaluate the effectiveness of each spraying operation, avoiding the rough judgments based on traditional experience. The temperature change coefficient serves as a feedback signal input to the control system for dynamically adjusting spray parameters. When a decrease in cooling efficiency is detected, the spray parameters can be automatically adjusted to ensure the expected cooling effect is achieved. By quantitatively evaluating the efficiency of each spraying operation, a data foundation is provided for energy efficiency optimization. The most effective spraying mode under different environmental conditions can be identified, achieving the optimal balance between cooling effect and water consumption.

[0065] In an embodiment of this application, an automatic spray control method for a fuel tank is provided, wherein the formula for calculating the temperature change coefficient of the fuel tank is:

[0066] k=q*(β*(d / d0)+γ*(s / s0)),

[0067] Where k is the temperature change coefficient of the fuel tank, q is the preset third conversion coefficient, β is the first preset weight, d is the temperature change amplitude value, d0 is the reference temperature change amplitude value, γ is the second preset weight, s is the slope value, and s0 is the reference slope value.

[0068] In an embodiment of this application, an automatic spray control method for fuel tanks is provided. The step of determining the control correction coefficient of the automatic spray device based on the temperature change coefficient includes: pre-setting a preset control correction coefficient-temperature change coefficient interval correspondence relationship, wherein the preset control correction coefficient-temperature change coefficient interval correspondence relationship is associated with a corresponding preset control correction coefficient for each temperature change coefficient interval; obtaining the temperature change coefficient of the fuel tank, and based on the mapping relationship of the temperature change coefficient interval to which the temperature change coefficient belongs within the preset control correction coefficient-temperature change coefficient interval correspondence relationship, selecting the preset control correction coefficient corresponding to the temperature change coefficient interval as the control correction coefficient of the automatic spray device.

[0069] Specifically, a refined correspondence table of "control correction coefficient - temperature change coefficient range" is pre-set. For different temperature change coefficient ranges, corresponding preset control correction coefficients are associated. The correction coefficients in each range are optimized to accurately reflect the adjustment range of control parameters required for the cooling effect level. In actual operation, the temperature change coefficient calculated after spraying is acquired in real time, and the specific range to which the coefficient belongs is determined by the range matching algorithm. According to the preset correspondence table, the preset control correction coefficient associated with the temperature change coefficient range is automatically selected and determined as the final control correction coefficient of the automatic spraying device in this control cycle. This step upgrades the spray control from fixed parameters to adaptive parameters, enabling automatic adjustment of the control strategy based on the actual cooling effect to ensure optimal cooling efficiency under different operating conditions. Through an interval mapping mechanism, it exhibits stronger fault tolerance for single measurement errors and random fluctuations. The interval division avoids frequent adjustments to control parameters due to minor changes, improving stability. Based on the preset correction coefficient method corresponding to each interval, it ensures both timely system response and precise control through refined interval division. Different temperature change coefficient intervals correspond to different environmental conditions and equipment states, automatically identifying current operating characteristics and selecting the most suitable control strategy, enhancing adaptability to complex and changing environments.

[0070] In an embodiment of this application, an automatic spray control method for fuel tanks is provided. The step of correcting the initial control conditions of the automatic spray device according to the control correction coefficient includes: obtaining the control correction coefficient ki, correcting the initial control conditions Fi(ai, bi) of the automatic spray device according to the control correction coefficient ki to obtain Fi(ai*ki, bi*ki), and controlling the automatic spray device to perform automatic spraying according to the corrected operating conditions Fi(ai*ki, bi*ki).

[0071] like Figure 2As shown in the embodiments of this application, an automatic spray control system for fuel tanks is provided, comprising: an acquisition module for acquiring temperature monitoring data of the fuel tank and making predictions based on the temperature monitoring data and a preset prediction model to obtain temperature prediction data; a setting module for evaluating the high temperature level of the fuel tank based on the temperature prediction data to obtain a high temperature level evaluation value, and setting the initial control conditions of the automatic spray device according to the high temperature level evaluation value; a calculation module for determining the temperature change characteristics of the fuel tank over a period of time after spraying, and determining the temperature change coefficient of the fuel tank based on the temperature change characteristics; and a correction module for determining the control correction coefficient of the automatic spray device based on the temperature change coefficient, and correcting the initial control conditions of the automatic spray device according to the control correction coefficient.

[0072] In summary, this invention provides an automatic spray control method and system for fuel tanks, comprising: acquiring temperature monitoring data of the fuel tank and predicting it to obtain temperature prediction data; evaluating the high temperature level of the fuel tank based on the temperature prediction data to obtain a high temperature level evaluation value, and setting initial control conditions for the automatic spray device based on the evaluation value; determining the temperature change characteristics of the fuel tank over a period of time after spraying, and determining the temperature change coefficient of the fuel tank based on the evaluation value; determining the control correction coefficient of the automatic spray device based on the temperature change coefficient, and correcting the initial control conditions of the automatic spray device based on the correction coefficient. This invention analyzes the temperature response characteristics during the spraying process, dynamically optimizes control parameters, and forms a complete monitoring-prediction-control-feedback closed loop, significantly improving control accuracy. This not only ensures timely and effective intervention when risks occur, but also achieves energy and resource conservation, avoiding unnecessary resource waste and equipment wear.

[0073] Finally, it should be noted that those skilled in the art can obviously make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims and their equivalents, this invention also intends to include these modifications and variations.

[0074] The above description is merely one embodiment of the present invention, and should not be construed as limiting the scope of the invention. Any structural changes made based on the present invention, as long as they do not depart from the essence of the invention, should be considered as falling within the protection scope of the present invention and subject to its restrictions. Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working process and related descriptions of the platform described above can be referred to the corresponding processes in the foregoing platform embodiments, and will not be repeated here.

[0075] The term "comprising" or any other similar term is intended to cover non-exclusive inclusion, such that a process, platform, article, or device / platform that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to those processes, platforms, articles, or devices / platforms.

[0076] The technical solutions of the present invention have been described in conjunction with the accompanying drawings and further embodiments. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art can make equivalent changes or substitutions to closely related technical features, and the technical solutions resulting from such changes or substitutions will all fall within the scope of protection of the present invention.

[0077] The above description is merely a preferred embodiment of the present invention and is not intended to limit the scope of protection of the present invention.

Claims

1. An automatic spray control method for fuel tanks, characterized in that, include: Acquire temperature monitoring data from the fuel tank, and make predictions based on the temperature monitoring data and a preset prediction model to obtain temperature prediction data; The high temperature level of the fuel tank is assessed based on temperature prediction data to obtain a high temperature level assessment value, and the initial control conditions of the automatic spray device are set according to the high temperature level assessment value. Determine the temperature change characteristics of the fuel tank over a period of time after spraying, and determine the temperature change coefficient of the fuel tank based on the temperature change characteristics; The control correction coefficient of the automatic sprinkler system is determined based on the temperature change coefficient, and the initial control conditions of the automatic sprinkler system are corrected according to the control correction coefficient.

2. The automatic spray control method for a fuel tank according to claim 1, characterized in that, The process of acquiring temperature monitoring data from the fuel tank and making predictions based on the temperature monitoring data and a preset prediction model to obtain temperature prediction data includes: Acquire temperature monitoring data from the fuel tank and extract multidimensional data features from the temperature monitoring data; A dataset is constructed based on temperature monitoring data and corresponding multidimensional data features. The dataset is then input into a preset prediction model for prediction output, resulting in temperature prediction data for a future period.

3. A method for automatic spray control of fuel tanks according to claim 2, characterized in that, The assessment of the high temperature level of the fuel tank based on temperature prediction data, to obtain a high temperature level assessment value, includes: Determine the preset minimum temperature threshold and identify data points exceeding the minimum temperature threshold from the temperature prediction data; Determine the quantity and average of these data points, and evaluate the quantity and average values ​​respectively to obtain the quantity evaluation value and the average evaluation value; The temperature rating of the fuel tank is calculated based on the quantity assessment value and the average assessment value.

4. An automatic spray control method for a fuel tank according to claim 3, characterized in that, The formula for calculating the high temperature assessment value of the fuel tank is as follows: P = a * N + b * S, Where P is the high temperature assessment value of the fuel tank, a is the preset first conversion coefficient, N is the quantity assessment value, b is the preset second conversion coefficient, and S is the average assessment value.

5. An automatic spray control method for a fuel tank according to claim 3, characterized in that, The initial control conditions for the automatic sprinkler system, set based on the high temperature assessment value, include: The high temperature assessment value P of the electrolysis process and the pre-set standard high temperature assessment value P0 are obtained, and the first preset difference P1, the second preset difference P2, the third preset difference P3 and the fourth preset difference P4 are determined, and P1 < P2 < P3 < P4; the first preset working conditions F1 (a1, b1), the second preset working conditions F2 (a2, b2), the third preset working conditions F3 (a3, b3) and the fourth preset working conditions F4 (a4, b4) of the automatic spraying device are preset, where a1-a4 are the first to fourth preset spraying liquid temperatures, and a1 < a2 < a3 < a4, and b1-b4 are the first to fourth preset spraying liquid flow rates, and b1 < b2 < b3 < b4; The preset working condition Fi is selected as the initial control condition of the automatic sprinkler device based on the difference between the high temperature assessment value ΔP and the preset standard high temperature assessment value P0. When P - P0 ≤ P1, the first preset working condition F1 is selected as the initial control condition of the automatic sprinkler device. When P1 < P - P0 ≤ P2, the second preset working condition F2 is selected as the initial control condition of the automatic sprinkler device. When P2 < P - P0 ≤ P3, the third preset working condition F3 is selected as the initial control condition of the automatic sprinkler device. When P3 < P - P0 ≤ P4, the fourth preset working condition F4 is selected as the initial control condition of the automatic sprinkler device. The automatic sprinkler system is controlled to operate based on the selected preset initial control condition Fi(ai, bi) as the initial control condition.

6. An automatic spray control method for a fuel tank according to claim 5, characterized in that, The process of determining the temperature change characteristics of the fuel tank over a period of time after spraying, and determining the temperature change coefficient of the fuel tank based on these characteristics, includes: Acquire temperature monitoring data over a period of time after the fuel tank is sprayed, and construct a temperature change curve over time based on the temperature monitoring data; The amplitude and slope of temperature change are determined from the temperature change curve, and these values ​​are identified as the characteristics of temperature change. The temperature change coefficient of the fuel tank is obtained by determining the preset reference temperature change amplitude and reference slope values, and by calculating based on the temperature change amplitude and slope values ​​and the reference temperature change amplitude and reference slope values.

7. An automatic spray control method for a fuel tank according to claim 6, characterized in that, The formula for calculating the temperature change coefficient of the fuel tank is: k=q*(β*(d / d0)+γ*(s / s0)), Where k is the temperature change coefficient of the fuel tank, q is the preset third conversion coefficient, β is the first preset weight, d is the temperature change amplitude value, d0 is the reference temperature change amplitude value, γ is the second preset weight, s is the slope value, and s0 is the reference slope value.

8. An automatic spray control method for a fuel tank according to claim 6, characterized in that, The determination of the control correction coefficient for the automatic sprinkler system based on the temperature change coefficient includes: A preset control correction coefficient-temperature change coefficient interval correspondence is set in advance. For each temperature change coefficient interval, a corresponding preset control correction coefficient is associated with it. The temperature change coefficient of the fuel tank is obtained, and based on the mapping relationship between the temperature change coefficient interval to which the temperature change coefficient belongs and the preset control correction coefficient-temperature change coefficient interval correspondence, the preset control correction coefficient corresponding to the temperature change coefficient interval is selected and determined as the control correction coefficient of the automatic spraying device.

9. An automatic spray control method for a fuel tank according to claim 8, characterized in that, The step of correcting the initial control conditions of the automatic sprinkler system according to the control correction coefficient includes: Obtain the control correction coefficient ki, and correct the initial control conditions Fi(ai, bi) of the automatic sprinkler device according to the control correction coefficient ki to obtain Fi(ai*ki, bi*ki), and control the automatic sprinkler device to perform automatic sprinkler according to the corrected working conditions Fi(ai*ki, bi*ki).

10. An automatic spray control system for fuel tanks, characterized in that, include: The acquisition module is used to acquire temperature monitoring data from the fuel tank and make predictions based on the temperature monitoring data and a preset prediction model to obtain temperature prediction data. The setting module is used to assess the high temperature of the fuel tank based on temperature prediction data, obtain a high temperature assessment value, and set the initial control conditions of the automatic spraying device according to the high temperature assessment value. The calculation module is used to determine the temperature change characteristics of the fuel tank over a period of time after spraying, and to determine the temperature change coefficient of the fuel tank based on the temperature change characteristics. The correction module is used to determine the control correction coefficient of the automatic sprinkler device based on the temperature change coefficient, and to correct the initial control conditions of the automatic sprinkler device according to the control correction coefficient.

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