Temperature regulation and control method and system for fuel to be sampled

Abstract

The invention relates to the technical field of temperature regulation and control, and discloses a temperature regulation and control method and system for to-be-sampled fuel, and the method comprises the steps: obtaining multiple groups of temperature change factor data of to-be-sampled fuel equipment, and obtaining a plurality of temperature change factor data sets; determining a corresponding standard temperature change factor data range, and calculating a sampling temperature change degree value according to the standard temperature change factor data range; performing curve fitting on the sampling temperature change degree value to obtain a sampling temperature change degree value curve, and calculating a sampling temperature change influence metric value of the to-be-sampled fuel equipment according to the sampling temperature change degree value curve; the current temperature regulation strategy is adjusted according to the sampling temperature change influence metric value, the target temperature regulation strategy of the fuel equipment to be sampled is obtained, the multi-source temperature change factor is comprehensively considered, the temperature fluctuation degree is quantified, the temperature regulation strategy is dynamically adjusted, the temperature regulation precision and stability in the fuel sampling process are improved, and the fuel sampling efficiency is improved. The sampling quality and the equipment operation safety are ensured.

Description

Technical Field

[0001] This invention relates to the field of temperature control technology, and more specifically, to a method and system for controlling the temperature of fuel to be sampled. Background Technology

[0002] Fuel sampling and analysis are crucial processes in energy, chemical, and power systems, and their accuracy directly impacts fuel quality assessment, equipment operational safety, and energy efficiency optimization. During actual sampling, the temperature of fuel is easily affected by various internal and external factors, such as ambient temperature fluctuations, changes in equipment operating load, and uneven heat transfer conditions. These factors can cause the fuel temperature to deviate from the ideal range during sampling, thus affecting the representativeness of the sampling results and the reliability of the analysis.

[0003] Currently, most common temperature control methods rely on fixed thresholds or manual experience for adjustment, such as setting a fixed temperature control point or using a simple PID control strategy. However, these methods are difficult to adapt to the complex and dynamic temperature change characteristics during the operation of fuel equipment, especially in the presence of multiple sources and time-varying influencing factors. Fixed control strategies often have a delayed response or insufficient adjustment accuracy, which can easily lead to excessive temperature fluctuations or increased energy consumption. Summary of the Invention

[0004] This invention provides a method and system for temperature control of fuel to be sampled, which can comprehensively consider multiple temperature change factors, quantify the degree of temperature fluctuation, and dynamically adjust the temperature control strategy accordingly, thereby improving the accuracy and stability of temperature control during fuel sampling and ensuring sampling quality and equipment operation safety.

[0005] To achieve the above objectives, the present invention provides a method for temperature control of fuel to be sampled, comprising:

[0006] Acquire multiple sets of temperature change factor data from the fuel sampling equipment, and distinguish each set of temperature change factor data to obtain multiple sets of temperature change factor data.

[0007] Determine the standard temperature change factor data range corresponding to each temperature change factor data set, and calculate the sampling temperature change degree value of the temperature change factor data set based on the standard temperature change factor data range;

[0008] Curve fitting is performed on the sampling temperature change value of each temperature change factor data set to obtain the sampling temperature change value curve, and the sampling temperature change influence metric value of the fuel equipment to be sampled is calculated based on the sampling temperature change value curve.

[0009] The current temperature control strategy of the fuel sampling device is determined, and the current temperature control strategy is adjusted according to the metric value of the impact of the sampling temperature change to obtain the target temperature control strategy of the fuel sampling device.

[0010] Furthermore, before differentiating each set of temperature change factor data to obtain multiple temperature change factor data sets, the following steps are also included:

[0011] Each set of temperature change factor data is traversed and preprocessed, wherein the preprocessing includes deleting duplicate temperature change factor data, deleting erroneous temperature change factor data, and deleting invalid temperature change factor data;

[0012] The remaining temperature change factors data are then differentiated.

[0013] Furthermore, when calculating the sampling temperature change value of the temperature change factor data set based on the standard temperature change factor data range, the calculation includes:

[0014] The temperature change factor dataset is divided into multiple temperature change factor data sequences according to the standard temperature change factor data range.

[0015] The sampling temperature change value of the temperature change factor data set is calculated based on the temperature change factor data sequence.

[0016] Furthermore, when dividing the temperature change factor data set into multiple temperature change factor data sequences according to the standard temperature change factor data range, it includes:

[0017] The standard temperature change factor data range is analyzed to obtain the first standard temperature change factor data and the second standard temperature change factor data corresponding to the standard temperature change factor data range, and the first standard temperature change factor data is less than the second standard temperature change factor data.

[0018] The temperature change factor data set is traversed to extract all temperature change factor data that are less than the first standard temperature change factor data, and a first temperature change factor data sequence is generated.

[0019] Extract all temperature change factor data that fall within the range of the standard temperature change factor data, and generate a second temperature change factor data sequence;

[0020] Extract all temperature change factor data that are greater than the second standard temperature change factor data, and generate a third temperature change factor data sequence.

[0021] Further, when calculating the sampling temperature change degree value of the temperature change factor data set based on the temperature change factor data sequence, the following steps are included:

[0022] Calculate the first mean of the first temperature change factor data sequence;

[0023] Pre-set the first and second adjustment coefficients;

[0024] The first standardized range of the first temperature change factor data sequence is determined based on the first mean, the first adjustment coefficient, and the second adjustment coefficient. The first standardized range is [u1, u2]. The first product of the first mean and the first adjustment coefficient is taken as u1, and the second product of the first mean and the second adjustment coefficient is taken as u2.

[0025] Calculate the second mean of the second temperature change factor data series;

[0026] The second standardized range of the second temperature change factor data sequence is determined based on the second mean, the first adjustment coefficient, and the second adjustment coefficient. The second standardized range is [u3, u4]. The third product of the second mean and the first adjustment coefficient is taken as u3, and the fourth product of the second mean and the second adjustment coefficient is taken as u4.

[0027] Calculate the third mean of the data sequence of the third temperature change factor;

[0028] The third standardized range of the third temperature change factor data sequence is determined based on the third mean, the first adjustment coefficient, and the second adjustment coefficient. The third standardized range is [u5, u6]. The fifth product of the third mean and the first adjustment coefficient is taken as u5, and the sixth product of the third mean and the sixth adjustment coefficient is taken as u6.

[0029] For each temperature change factor data sequence, the temperature change factor data is compared with the corresponding standardized range. If the temperature change factor data is within the corresponding standardized range, a data label is generated for the temperature change factor data.

[0030] The degree of temperature change in the sampled temperature data set is calculated using the following formula:

[0031] w = r1×y1 + r2×y2 + r3×y3;

[0032] Where w is the sampling temperature change value of the temperature change factor data set, r1 is the first weight, r2 is the second weight, r3 is the third weight, r1+r2+r3=1, y1 is the number of first data labels in the first temperature change factor data sequence, y2 is the number of second data labels in the second temperature change factor data sequence, and y3 is the number of third data labels in the third temperature change factor data sequence.

[0033] Furthermore, when calculating the metric value of the influence of the sampling temperature change on the fuel device to be sampled based on the sampling temperature change value curve, it includes:

[0034] Determine the first and second derivatives of the curve representing the degree of temperature change during sampling;

[0035] Extract all sampling temperature change values ​​whose first derivatives satisfy preset conditions, and calculate the first-order factor of the fuel device to be sampled based on the extracted sampling temperature change values.

[0036] Extract all sampling temperature change values ​​whose second derivatives satisfy preset conditions, and calculate the second-order factor of the fuel device to be sampled based on the extracted sampling temperature change values;

[0037] The sum of the first-order factor and the second-order factor is used as the measure of the influence of the sampling temperature change on the fuel sampling device.

[0038] Furthermore, when calculating the first-order factor of the fuel sampling device based on the extracted sampling temperature change value, the following steps are included:

[0039] The first-order factor of the fuel sampling device is calculated according to the following formula:

[0040]

[0041] Where p is the first-order factor of the fuel device to be sampled, s is the number of extracted sampling temperature change values, and f i f represents the temperature change value of the i-th extracted sample. i+1 This represents the temperature change value of the (i+1)th extracted sample.

[0042] Further, when adjusting the current temperature control strategy based on the sampling temperature change impact metric to obtain the target temperature control strategy for the fuel sampling device, the process includes:

[0043] The current temperature control strategy is analyzed to obtain the current temperature control power of the fuel sampling device;

[0044] The first preset sampling temperature change influence measurement value and the second preset sampling temperature change influence measurement value are preset.

[0045] Pre-set the first preset adjustment value, the second preset adjustment value, and the third preset adjustment value;

[0046] When the influence value of the sampling temperature change is less than the first preset influence value of the sampling temperature change, the first product value of the first preset adjustment value and the current temperature control power is calculated as the target temperature control strategy of the fuel device to be sampled.

[0047] When the sampling temperature change impact metric is greater than or equal to the first preset sampling temperature change impact metric and less than the second preset sampling temperature change impact metric, then the second product of the second preset adjustment value and the current temperature control power is calculated as the target temperature control strategy for the fuel device to be sampled.

[0048] When the sampling temperature change influence metric is greater than or equal to the second preset sampling temperature change influence metric, the third product of the third preset adjustment value and the current temperature control power is calculated as the target temperature control strategy for the fuel device to be sampled.

[0049] To achieve the above objectives, the present invention also provides a temperature control system for the fuel to be sampled, comprising:

[0050] The data acquisition module is used to acquire multiple sets of temperature change factor data of the fuel equipment to be sampled, and to distinguish each set of temperature change factor data to obtain multiple sets of temperature change factor data.

[0051] The first calculation module is used to determine the standard temperature change factor data range corresponding to each temperature change factor data set, and calculate the sampling temperature change degree value of the temperature change factor data set based on the standard temperature change factor data range.

[0052] The second calculation module is used to perform curve fitting on the sampling temperature change value of each temperature change factor data set to obtain the sampling temperature change value curve, and calculate the sampling temperature change influence measurement value of the fuel equipment to be sampled based on the sampling temperature change value curve.

[0053] The temperature control module is used to determine the current temperature control strategy of the fuel sampling device, and adjust the current temperature control strategy according to the sampling temperature change influence metric value to obtain the target temperature control strategy of the fuel sampling device.

[0054] Furthermore, it also includes:

[0055] The data processing module is used for:

[0056] Each set of temperature change factor data is traversed and preprocessed, wherein the preprocessing includes deleting duplicate temperature change factor data, deleting erroneous temperature change factor data, and deleting invalid temperature change factor data;

[0057] The remaining temperature change factors data are then differentiated.

[0058] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0059] This invention discloses a method and system for temperature control of fuel to be sampled. The method involves acquiring multiple sets of temperature change factor data from the fuel sampling equipment to obtain multiple temperature change factor data sets; determining the corresponding standard temperature change factor data range; calculating the sampling temperature change degree value based on the standard temperature change factor data range; performing curve fitting on the sampling temperature change degree value to obtain a sampling temperature change degree value curve; calculating the sampling temperature change impact metric value of the fuel sampling equipment based on the sampling temperature change impact metric value; adjusting the current temperature control strategy based on the sampling temperature change impact metric value to obtain the target temperature control strategy for the fuel sampling equipment. By comprehensively considering multiple temperature change factors and quantifying the degree of temperature fluctuation, the temperature control strategy is dynamically adjusted to improve the accuracy and stability of temperature control during fuel sampling, ensuring sampling quality and equipment operation safety. Attached Figure Description

[0060] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the invention. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings:

[0061] Figure 1 A schematic flowchart of a method for temperature control of fuel to be sampled according to an embodiment of the present invention is shown;

[0062] Figure 2 A schematic diagram of a temperature control system for a sampled fuel is shown in an embodiment of the present invention. Detailed Implementation

[0063] The specific embodiments of the present invention 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.

[0064] 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 device 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.

[0065] 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.

[0066] In the description of this application, it should be noted that, unless otherwise expressly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection between two components. Those skilled in the art can understand the specific meaning of the above terms in this application based on the specific circumstances.

[0067] The following is a description of preferred embodiments of the present invention in conjunction with the accompanying drawings.

[0068] like Figure 1 As shown, an embodiment of the present invention discloses a method for temperature control of fuel to be sampled, comprising:

[0069] S110: Acquire multiple sets of temperature change factor data of the fuel equipment to be sampled, and distinguish each set of temperature change factor data to obtain multiple sets of temperature change factor data.

[0070] In this embodiment, the fuel to be sampled is stored in the fuel sampling device.

[0071] In this embodiment, multiple data acquisition times are preset, preferably 10, such as the 5th second, 10th second, 15th second, 20th second, 25th second, 30th second, 35th second, 40th second, 45th second, and 50th second. Each acquisition time can determine a set of temperature change factor data, thus obtaining 10 sets of temperature change factor data.

[0072] In this embodiment, the temperature change factor data includes equipment pressure, fuel flow rate, steam pressure, and steam temperature, etc., which are not shown one by one here. The temperature change factor data refers to the data that affects temperature control.

[0073] In this embodiment, the temperature change factor data of the same type in each group are extracted to obtain multiple temperature change factor data sets. For example, the equipment pressure in each group of temperature change factor data is extracted to obtain a temperature change factor data set about equipment pressure, and the fuel flow rate is extracted to obtain a temperature change factor data set about fuel flow rate. The remaining examples are not listed one by one.

[0074] In some embodiments of this application, before distinguishing each set of temperature change factor data to obtain multiple temperature change factor data sets, the method further includes:

[0075] Each set of temperature change factor data is traversed and preprocessed, wherein the preprocessing includes deleting duplicate temperature change factor data, deleting erroneous temperature change factor data, and deleting invalid temperature change factor data;

[0076] The remaining temperature change factors data are then differentiated.

[0077] The beneficial effects of the above technical solution are: through the preprocessing step, duplicate, erroneous and invalid temperature change factor data can be effectively eliminated, ensuring that the data used in subsequent analysis is accurate and reliable, laying a solid foundation for the accurate division of the subsequent temperature change factor data set and the precise calculation of the sampling temperature change value, thereby improving the effectiveness and stability of the entire temperature control method.

[0078] S120: Determine the standard temperature change factor data range corresponding to each temperature change factor data set, and calculate the sampling temperature change degree value of the temperature change factor data set based on the standard temperature change factor data range;

[0079] In this embodiment, the standard temperature change factor data range corresponding to each temperature change factor data set is different, and the specific range can be set according to the actual situation.

[0080] In some embodiments of this application, when calculating the sampling temperature change degree value of the temperature change factor data set based on the standard temperature change factor data range, the following steps are included:

[0081] The temperature change factor dataset is divided into multiple temperature change factor data sequences according to the standard temperature change factor data range.

[0082] The sampling temperature change value of the temperature change factor data set is calculated based on the temperature change factor data sequence.

[0083] In some embodiments of this application, when dividing the temperature change factor data set into multiple temperature change factor data sequences according to the standard temperature change factor data range, the following is included:

[0084] The standard temperature change factor data range is analyzed to obtain the first standard temperature change factor data and the second standard temperature change factor data corresponding to the standard temperature change factor data range, and the first standard temperature change factor data is less than the second standard temperature change factor data.

[0085] The temperature change factor data set is traversed to extract all temperature change factor data that are less than the first standard temperature change factor data, and a first temperature change factor data sequence is generated.

[0086] Extract all temperature change factor data that fall within the range of the standard temperature change factor data, and generate a second temperature change factor data sequence;

[0087] Extract all temperature change factor data that are greater than the second standard temperature change factor data, and generate a third temperature change factor data sequence.

[0088] The beneficial effects of the above technical solution are: by meticulously dividing the temperature change factor data set into three temperature change factor data sequences, it is possible to more accurately locate the position of each data within the standard range, thereby providing strong support for the subsequent accurate calculation of the degree of temperature change in sampling, helping to more accurately assess the impact of temperature changes on fuel sampling, and improving the accuracy of temperature control.

[0089] In some embodiments of this application, calculating the sampling temperature change degree value of the temperature change factor data set based on the temperature change factor data sequence includes:

[0090] Calculate the first mean of the first temperature change factor data sequence;

[0091] Pre-set the first and second adjustment coefficients;

[0092] The first standardized range of the first temperature change factor data sequence is determined based on the first mean, the first adjustment coefficient, and the second adjustment coefficient. The first standardized range is [u1, u2]. The first product of the first mean and the first adjustment coefficient is taken as u1, and the second product of the first mean and the second adjustment coefficient is taken as u2.

[0093] Calculate the second mean of the second temperature change factor data series;

[0094] The second standardized range of the second temperature change factor data sequence is determined based on the second mean, the first adjustment coefficient, and the second adjustment coefficient. The second standardized range is [u3, u4]. The third product of the second mean and the first adjustment coefficient is taken as u3, and the fourth product of the second mean and the second adjustment coefficient is taken as u4.

[0095] Calculate the third mean of the data sequence of the third temperature change factor;

[0096] The third standardized range of the third temperature change factor data sequence is determined based on the third mean, the first adjustment coefficient, and the second adjustment coefficient. The third standardized range is [u5, u6]. The fifth product of the third mean and the first adjustment coefficient is taken as u5, and the sixth product of the third mean and the sixth adjustment coefficient is taken as u6.

[0097] For each temperature change factor data sequence, the temperature change factor data is compared with the corresponding standardized range. If the temperature change factor data is within the corresponding standardized range, a data label is generated for the temperature change factor data.

[0098] The degree of temperature change in the sampled temperature data set is calculated using the following formula:

[0099] w = r1×y1 + r2×y2 + r3×y3;

[0100] Where w is the sampling temperature change value of the temperature change factor data set, r1 is the first weight, r2 is the second weight, r3 is the third weight, r1+r2+r3=1, y1 is the number of first data labels in the first temperature change factor data sequence, y2 is the number of second data labels in the second temperature change factor data sequence, and y3 is the number of third data labels in the third temperature change factor data sequence.

[0101] In this embodiment, the first adjustment coefficient is preferably 0.9, and the second adjustment coefficient is preferably 1.1. The specific values ​​can be adjusted adaptively according to the actual situation.

[0102] In this embodiment, if the temperature change factor data is within the corresponding standardization range, data labels are generated for the temperature change factor data, and then the number of data labels is counted.

[0103] The beneficial effects of the above technical solution are as follows: by introducing the first adjustment coefficient and the second adjustment coefficient to determine the standardized range of the data sequence of each temperature change factor, and by combining data label statistics and weight allocation to calculate the degree of sampling temperature change, it is possible to quantitatively assess the comprehensive impact of different temperature change factors on fuel sampling, provide a scientific basis for subsequent dynamic adjustment of temperature control strategies, and effectively improve the accuracy and adaptability of temperature control.

[0104] S130: Perform curve fitting on the sampling temperature change value of each temperature change factor data set to obtain the sampling temperature change value curve, and calculate the sampling temperature change influence metric value of the fuel equipment to be sampled based on the sampling temperature change value curve.

[0105] In some embodiments of this application, when calculating the metric value of the influence of the sampling temperature change on the fuel device to be sampled based on the sampling temperature change magnitude curve, the following steps are included:

[0106] Determine the first and second derivatives of the curve representing the degree of temperature change during sampling;

[0107] Extract all sampling temperature change values ​​whose first derivatives satisfy preset conditions, and calculate the first-order factor of the fuel device to be sampled based on the extracted sampling temperature change values.

[0108] Extract all sampling temperature change values ​​whose second derivatives satisfy preset conditions, and calculate the second-order factor of the fuel device to be sampled based on the extracted sampling temperature change values;

[0109] The sum of the first-order factor and the second-order factor is used as the measure of the influence of the sampling temperature change on the fuel sampling device.

[0110] In this embodiment, the process of determining the first and second derivatives will not be described in detail here.

[0111] In this embodiment, the preset condition is that the first derivative is equal to zero or the second derivative is equal to zero. That is, the sampling temperature change value with the first derivative being zero is extracted, and the sampling temperature change value with the second derivative being zero is extracted.

[0112] The beneficial effects of the above technical solution are as follows: by extracting the sampling temperature change values ​​that satisfy the preset conditions for the first and second derivatives, and calculating the first and second factors respectively, the final sampling temperature change influence measurement value is obtained, which can more comprehensively reflect the influence of temperature change on the fuel sampling process, and provide a more accurate and comprehensive basis for the adjustment of subsequent temperature control strategies, thereby further improving the effectiveness of temperature control and the quality of fuel sampling.

[0113] In some embodiments of this application, calculating the first-order factor of the fuel device to be sampled based on the extracted sampling temperature change value includes:

[0114] The first-order factor of the fuel sampling device is calculated according to the following formula:

[0115]

[0116] Where p is the first-order factor of the fuel device to be sampled, s is the number of extracted sampling temperature change values, and f i f represents the temperature change value of the i-th extracted sample. i+1 This represents the temperature change value of the (i+1)th extracted sample.

[0117] In some embodiments of this application, the second-order factor of the fuel sampling device is calculated according to the following formula:

[0118]

[0119] Where p2 is the second-order factor of the fuel device to be sampled, s2 is the number of extracted sampling temperature change values, and k j Let k be the temperature change value of the j-th extracted sample. j+1 This represents the temperature change value of the (j+1)th extracted sample.

[0120] S140: Determine the current temperature control strategy of the fuel sampling device, and adjust the current temperature control strategy according to the sampling temperature change influence metric value to obtain the target temperature control strategy of the fuel sampling device.

[0121] In some embodiments of this application, when adjusting the current temperature control strategy based on the sampling temperature change influence metric to obtain the target temperature control strategy for the fuel device to be sampled, the following steps are included:

[0122] The current temperature control strategy is analyzed to obtain the current temperature control power of the fuel sampling device;

[0123] The first preset sampling temperature change influence measurement value and the second preset sampling temperature change influence measurement value are preset.

[0124] Pre-set the first preset adjustment value, the second preset adjustment value, and the third preset adjustment value;

[0125] When the influence value of the sampling temperature change is less than the first preset influence value of the sampling temperature change, the first product value of the first preset adjustment value and the current temperature control power is calculated as the target temperature control strategy of the fuel device to be sampled.

[0126] When the sampling temperature change impact metric is greater than or equal to the first preset sampling temperature change impact metric and less than the second preset sampling temperature change impact metric, then the second product of the second preset adjustment value and the current temperature control power is calculated as the target temperature control strategy for the fuel device to be sampled.

[0127] When the sampling temperature change influence metric is greater than or equal to the second preset sampling temperature change influence metric, the third product of the third preset adjustment value and the current temperature control power is calculated as the target temperature control strategy for the fuel device to be sampled.

[0128] In this embodiment, the current temperature control strategy is the current temperature control power of the fuel sampling device.

[0129] In this embodiment, the first preset sampling temperature change influence measurement value is preferably 12, and the second preset sampling temperature change influence measurement value is preferably 18. The specific values ​​can be adjusted adaptively according to the actual situation.

[0130] In this embodiment, the first preset adjustment value is preferably 0.85, the second preset adjustment value is preferably 1.15, and the third preset adjustment value is preferably 1.25. The specific values ​​can be adjusted adaptively according to the actual situation.

[0131] The beneficial effects of the above technical solution are: the present invention selects the corresponding preset adjustment value based on the measurement value of the influence of sampling temperature change, the first preset measurement value of the influence of sampling temperature change and the second preset measurement value of the influence of sampling temperature change, thereby adjusting the current temperature control power and obtaining the target temperature control strategy, ensuring the accuracy and stability of temperature control during the fuel sampling process, and ensuring the sampling quality and equipment operation safety.

[0132] To further illustrate the technical concept of this invention, the technical solution of this invention will now be described in conjunction with specific application scenarios.

[0133] Correspondingly, such as Figure 2 As shown, this application also provides a temperature control system for the fuel to be sampled, comprising:

[0134] The data acquisition module is used to acquire multiple sets of temperature change factor data of the fuel equipment to be sampled, and to distinguish each set of temperature change factor data to obtain multiple sets of temperature change factor data.

[0135] The first calculation module is used to determine the standard temperature change factor data range corresponding to each temperature change factor data set, and calculate the sampling temperature change degree value of the temperature change factor data set based on the standard temperature change factor data range.

[0136] The second calculation module is used to perform curve fitting on the sampling temperature change value of each temperature change factor data set to obtain the sampling temperature change value curve, and calculate the sampling temperature change influence measurement value of the fuel equipment to be sampled based on the sampling temperature change value curve.

[0137] The temperature control module is used to determine the current temperature control strategy of the fuel sampling device, and adjust the current temperature control strategy according to the sampling temperature change influence metric value to obtain the target temperature control strategy of the fuel sampling device.

[0138] In some embodiments of this application, it also includes:

[0139] The data processing module is used for:

[0140] Each set of temperature change factor data is traversed and preprocessed, wherein the preprocessing includes deleting duplicate temperature change factor data, deleting erroneous temperature change factor data, and deleting invalid temperature change factor data;

[0141] The remaining temperature change factors data are then differentiated.

[0142] In the description of the above embodiments, specific features, structures, materials, or characteristics may be combined in any suitable manner in one or more embodiments or examples.

[0143] Although the invention has been described above with reference to embodiments, various modifications can be made and components can be replaced with equivalents without departing from the scope of the invention. In particular, as long as there is no structural conflict, the features in the embodiments disclosed in this invention can be combined with each other in any way. The fact that not all of these combinations are described in this specification is merely for the sake of brevity and resource conservation.

[0144] It will be understood by those skilled in the art that the above are merely preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method of temperature regulation of a fuel to be sampled, characterized by, The method comprises the following steps: obtaining a plurality of sets of temperature change factor data of a fuel sampling device, and distinguishing each set of temperature change factor data to obtain a plurality of sets of temperature change factor data; determining a standard temperature change factor data range corresponding to each set of temperature change factor data, and calculating a sampling temperature change degree value of the set of temperature change factor data according to the standard temperature change factor data range; performing curve fitting on the sampling temperature change degree value of each set of temperature change factor data to obtain a sampling temperature change degree value curve, and calculating a sampling temperature change influence degree value of the fuel sampling device according to the sampling temperature change degree value curve; determining a current temperature regulation strategy of the fuel sampling device, and adjusting the current temperature regulation strategy according to the sampling temperature change influence degree value to obtain a target temperature regulation strategy of the fuel sampling device.

2. The method of claim 1, wherein Before distinguishing each set of temperature change factor data to obtain a plurality of sets of temperature change factor data, the method further comprises the following steps: traversing and preprocessing each set of temperature change factor data, wherein the preprocessing comprises deleting duplicate temperature change factor data, deleting erroneous temperature change factor data, and deleting invalid temperature change factor data; distinguishing the remaining temperature change factor data.

3. The method of claim 1, wherein When calculating the sampling temperature change degree value of the set of temperature change factor data according to the standard temperature change factor data range, the method comprises the following steps: dividing the set of temperature change factor data into a plurality of temperature change factor data sequences according to the standard temperature change factor data range; calculating the sampling temperature change degree value of the set of temperature change factor data according to the temperature change factor data sequences.

4. The method of claim 3, wherein When dividing the set of temperature change factor data into a plurality of temperature change factor data sequences according to the standard temperature change factor data range, the method comprises the following steps: analyzing the standard temperature change factor data range to obtain first standard temperature change factor data and second standard temperature change factor data corresponding to the standard temperature change factor data range, and the first standard temperature change factor data is less than the second standard temperature change factor data; traversing the set of temperature change factor data, extracting all temperature change factor data less than the first standard temperature change factor data, and generating a first temperature change factor data sequence; extracting all temperature change factor data within the standard temperature change factor data range, and generating a second temperature change factor data sequence; extracting all temperature change factor data greater than the second standard temperature change factor data, and generating a third temperature change factor data sequence.

5. The method of claim 3, wherein the temperature of the fuel to be sampled is adjusted by the temperature adjustment means. When calculating the sampling temperature change degree value of the set of temperature change factor data according to the temperature change factor data sequences, the method comprises the following steps: calculating a first mean value of the first temperature change factor data sequence; pre-setting a first adjustment coefficient and a second adjustment coefficient; determining a first normalized range of the first temperature variation factor data sequence according to the first mean value, the first adjustment coefficient and the second adjustment coefficient, the first normalized range being [u1, u2], taking a first product value of the first mean value and the first adjustment coefficient as u1, and taking a second product value of the first mean value and the second adjustment coefficient as u2; calculating a second mean value of the second temperature variation factor data sequence; determining a second normalized range of the second temperature variation factor data sequence according to the second mean value, the first adjustment coefficient and the second adjustment coefficient, the second normalized range being [u3, u4], taking a third product value of the second mean value and the first adjustment coefficient as u3, and taking a fourth product value of the second mean value and the second adjustment coefficient as u4; calculating a third mean value of the third temperature variation factor data sequence; determining a third normalized range of the third temperature variation factor data sequence according to the third mean value, the first adjustment coefficient and the second adjustment coefficient, the third normalized range being [u5, u6], taking a fifth product value of the third mean value and the first adjustment coefficient as u5, and taking a sixth product value of the third mean value and the sixth adjustment coefficient as u6; comparing the temperature variation factor data in each temperature variation factor data sequence with the corresponding normalized range, and generating a data label for the temperature variation factor data if the temperature variation factor data is within the corresponding normalized range; calculating a sampling temperature variation degree value of the temperature variation factor data set according to the following formula: w = r1 x y1 + r2 x y2 + r3 x y3; wherein w is the sampling temperature variation degree value of the temperature variation factor data set, r1 is a first weight, r2 is a second weight, r3 is a third weight, r1 + r2 + r3 = 1, y1 is a first data label quantity in the first temperature variation factor data sequence, y2 is a second data label quantity in the second temperature variation factor data sequence, and y3 is a third data label quantity in the third temperature variation factor data sequence.

6. The method of claim 1, wherein In the process of calculating the sampling temperature variation influence metric value of the fuel sampling device to be sampled according to the sampling temperature variation degree value curve, the following steps are included: determining the first derivative and the second derivative of the sampling temperature variation degree value curve; extracting the sampling temperature variation degree values that satisfy the preset condition from all the first derivatives, and calculating the first order factor of the fuel sampling device to be sampled according to the extracted sampling temperature variation degree values; extracting the sampling temperature variation degree values that satisfy the preset condition from all the second derivatives, and calculating the second order factor of the fuel sampling device to be sampled according to the extracted sampling temperature variation degree values; taking the sum of the first order factor and the second order factor as the sampling temperature variation influence metric value of the fuel sampling device to be sampled.

7. The method of claim 6, wherein the temperature of the fuel to be sampled is adjusted by, In the process of calculating the first order factor of the fuel sampling device to be sampled according to the extracted sampling temperature variation degree values, the following steps are included: calculating the first order factor of the fuel sampling device to be sampled according to the following formula: wherein p is a first order factor of the fuel equipment to be sampled, s is the number of extracted sampling temperature variation degree values, f i is the i-th extracted sampling temperature variation degree value, f i+1 is the i+1-th extracted sampling temperature variation degree value.

8. The method of claim 1, wherein The method comprises the following steps: analyzing the current temperature regulation strategy to obtain the current temperature regulation power of the fuel sampling device; pre-setting a first preset sampling temperature change influence metric value and a second preset sampling temperature change influence metric value; pre-setting a first preset adjustment value, a second preset adjustment value, and a third preset adjustment value; when the sampling temperature change influence metric value is less than the first preset sampling temperature change influence metric value, calculating a first product value of the first preset adjustment value and the current temperature regulation power as the target temperature regulation strategy of the fuel sampling device; when the sampling temperature change influence metric value is greater than or equal to the first preset sampling temperature change influence metric value and less than the second preset sampling temperature change influence metric value, calculating a second product value of the second preset adjustment value and the current temperature regulation power as the target temperature regulation strategy of the fuel sampling device; when the sampling temperature change influence metric value is greater than or equal to the second preset sampling temperature change influence metric value, calculating a third product value of the third preset adjustment value and the current temperature regulation power as the target temperature regulation strategy of the fuel sampling device.

9. A temperature control system for a fuel to be sampled, applied to the temperature control method for a fuel to be sampled according to any one of claims 1 to 8, characterized by, The method comprises the following steps: a data acquisition module is configured to acquire a plurality of sets of temperature change factor data of a fuel sampling device, and distinguish each set of temperature change factor data to obtain a plurality of sets of temperature change factor data; a first calculation module is configured to determine a standard temperature change factor data range corresponding to each set of temperature change factor data, and calculate a sampling temperature change degree value of the set of temperature change factor data according to the standard temperature change factor data range; a second calculation module is configured to perform curve fitting on the sampling temperature change degree value of each set of temperature change factor data to obtain a sampling temperature change degree value curve, and calculate a sampling temperature change influence metric value of the fuel sampling device according to the sampling temperature change degree value curve; a temperature regulation module is configured to determine a current temperature regulation strategy of the fuel sampling device, and adjust the current temperature regulation strategy according to the sampling temperature change influence metric value to obtain a target temperature regulation strategy of the fuel sampling device.

10. The temperature regulating system of the fuel to be sampled according to claim 9, characterized in that, The method further comprises the following steps: a data processing module is configured to: perform iteration and preprocessing on each set of temperature change factor data, wherein the preprocessing comprises deleting duplicate temperature change factor data, deleting erroneous temperature change factor data, and deleting invalid temperature change factor data; distinguish the remaining temperature change factor data.

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