An optimization system and method for generating ether-based fuel for vehicles

Abstract

The invention relates to the technical field of optimization methods, and specifically discloses an optimization system and method for generating automotive ether-based fuels, comprising the following steps: step one: detecting the uniformity of a fuel stock solution to obtain uniformity detection data; step two: calculating a uniformity coefficient based on the uniformity detection data; step three: evaluating the uniformity of the fuel stock solution based on the uniformity coefficient, and generating a uniformity evaluation signal; step four: planning a stirring route based on an uneven signal, thereby continuing to stir the fuel stock solution based on the stirring route; and step five: re-testing the uniformity of the stirred fuel stock solution until a uniform signal is generated. The invention constructs a comprehensive evaluation system, which not only covers the quantitative characterization of the uniformity, but also takes into account the global distribution of the uniformity. By comprehensively considering these two dimensions, the evaluation result is more comprehensive and objective, and an effective means is provided for quality control in the production process.

Description

Technical Field

[0001] The invention relates to the technical field of optimization methods, and in particular to an optimization system and method for generating automotive ether-based fuel. Background Art

[0002] Ether-based fuel, also known as ether-based gasoline or ether-based liquid fuel, is an alternative energy source based on ether compounds, mainly used as automobile fuel. Ether-based fuel is a liquid fuel obtained by converting various raw materials such as natural gas, coal, coke oven gas, biomass, etc. into ether compounds through chemical synthesis and undergoing technical treatment such as gas-liquid conversion.

[0003] A Chinese invention patent with publication number CN118126752A discloses an ether-based biofuel for vehicle and a preparation process thereof, which relates to the field of fuel technology and comprises the following components: polymethoxy dimethyl ether, palm oil, liquid paraffin, and a solvent, wherein the preparation method comprises S1: preparing a synergist base component, mixing polymethoxy dimethyl ether, liquid paraffin, and palm oil according to a weight ratio at normal temperature and pressure to obtain a vehicle ether-based biofuel base component; S2: preparing a vehicle ether-based biofuel stock solution and a finished product, adding the solvent to the vehicle ether-based biofuel base component obtained in S2, stirring sufficiently, mixing evenly to obtain a vehicle ether-based biofuel stock solution, and obtaining a finished product after standing and settling.

[0004] However, in the prior art, the detection of fuel slurry uniformity is often done through manual judgment, which is unable to analyze tiny non-uniformities, nor can it quantitatively characterize the degree of uniformity and evaluate the global distribution of uniformity in multiple dimensions, resulting in incomplete and inaccurate detection results. Summary of the invention

[0005] The object of the present invention is to provide an optimized system and method for generating automotive ether-based fuels, so as to solve the technical problems in the above background.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] In a first aspect, the present invention provides a method for optimizing the generation of automotive ether-based fuel, comprising the following steps:

[0008] Step 1: Detect the uniformity of the fuel raw liquid and obtain uniformity detection data;

[0009] The uniform detection data includes: uniformity characterization value and uniform distribution characterization value;

[0010] Step 2: Calculate the uniformity coefficient based on the uniform detection data;

[0011] Step 3: Based on the uniformity coefficient, the uniformity of the fuel slurry is evaluated and a uniformity evaluation signal is generated;

[0012] The uniformity evaluation signal includes: a uniform signal and an ununiform signal;

[0013] Step 4: planning a stirring route based on the non-uniform signal, thereby continuing to stir the fuel slurry based on the stirring route;

[0014] Step 5: Re-test the uniformity of the stirred fuel slurry until a uniform signal is generated.

[0015] As a further solution of the present invention: the process of acquiring uniform detection data is as follows:

[0016] The fuel slurry is evenly divided into regions to obtain multiple detection regions;

[0017] The regional outlier value of each detection area is obtained respectively, and the regional outlier value of all detection areas is calculated respectively, and the uniformity characterization value and the uniform distribution characterization value are calculated.

[0018] As a further solution of the present invention: the process of obtaining regional outliers is as follows:

[0019] Based on any detection area, the detection area is divided into a grid area to obtain a plurality of detection sub-areas, and each detection sub-area is detected by using an ultrasonic instrument to obtain a uniform characterization value of each detection sub-area;

[0020] Based on the uniform characterization value of any detection sub-region, the uniform characterization value of the detection sub-region is calculated with the uniform characterization threshold value corresponding to the detection sub-region, and the absolute value is taken to obtain the uniform deviation value, and then the uniform deviation value is calculated with the uniform characterization threshold value to obtain the uniform deviation ratio of the detection sub-region;

[0021] Preset a uniform deviation ratio threshold, and compare and analyze the uniform deviation ratio of each detection sub-area with the uniform deviation ratio threshold;

[0022] If the uniform deviation ratio is less than or equal to the uniform deviation ratio threshold, a uniform signal of the detection sub-region is generated;

[0023] If the uniform deviation ratio is greater than the uniform deviation ratio threshold, an uneven signal of the detection sub-region is generated, and the detection sub-region is marked as an abnormal detection sub-region;

[0024] Merge all adjacent anomaly detection sub-regions to obtain one or more anomaly regions;

[0025] By formula: Calculate the regional abnormal value QY of the detection area, where N is the total number of abnormal areas in the detection area, i is the i-th abnormal area in the detection area, and the value of i is 1, 2, 3, ..., N, PJi is the average deviation ratio of the ith abnormal area, S i is the area of ​​the ith abnormal area, and SZ is the total area of ​​the detection area.

[0026] As a further solution of the present invention: the process of obtaining the uniformity characterization value is as follows:

[0027] The regional outliers of all detection areas are averaged to obtain a uniformity characterization value.

[0028] As a further solution of the present invention: the process of obtaining the uniform distribution characterization value is:

[0029] Extract the average deviation ratio of the abnormal detection sub-regions in each detection region;

[0030] Based on any detection area, the variance of the uniform deviation ratio of all abnormal detection sub-areas in the detection area is calculated to obtain the variance value of the abnormal degree of the sub-area in the detection area;

[0031] The variance values ​​of the abnormality levels of all sub-regions in the detection area are summed up to obtain a uniform distribution representation value.

[0032] As a further solution of the present invention: the process of obtaining the uniformity coefficient is:

[0033] By formula: Calculate the uniformity coefficient JY, where a1 and a2 are preset proportional factors and are both greater than 0, CD is a uniformity characterization value, and FB is a uniform distribution characterization value.

[0034] As a further solution of the present invention: the process of generating the uniformity evaluation signal is:

[0035] Preset a uniformity coefficient threshold, and compare and analyze the uniformity coefficient with the uniformity coefficient threshold;

[0036] If the uniformity coefficient is less than or equal to the uniformity coefficient threshold, a uniform signal is generated;

[0037] If the uniformity coefficient is greater than the uniformity coefficient threshold, an uneven signal is generated.

[0038] As a further solution of the present invention: the stirring route is planned, and the process of continuing to stir the fuel slurry based on the stirring route is:

[0039] Based on the uneven signal, each detection area is merged to obtain multiple route analysis areas;

[0040] Calculate the abnormality assessment coefficient of each route analysis area respectively, and then compare and analyze the abnormality assessment coefficient with the abnormality assessment coefficient threshold;

[0041] If the abnormal evaluation coefficient is less than or equal to the abnormal evaluation coefficient threshold, a route non-essential signal is generated;

[0042] If the abnormality assessment coefficient is greater than the abnormality assessment coefficient threshold, a route urgent need signal is generated, and the route analysis area is marked as a route urgent need area;

[0043] Connect all the routes in urgent need of areas to obtain a continuous mixing route.

[0044] As a further solution of the present invention: the process of obtaining the abnormal evaluation coefficient is:

[0045] Based on any route analysis area, the regional anomaly values ​​of all detection areas in the route analysis area are summed up to obtain an anomaly assessment coefficient.

[0046] In a second aspect, the present invention provides an optimization system for generating automotive ether-based fuel, the system comprising:

[0047] Data acquisition module: detect the uniformity of the fuel raw liquid and obtain uniformity detection data;

[0048] The uniform detection data includes: uniformity characterization value and uniform distribution characterization value;

[0049] Data processing module: calculate uniformity coefficient based on uniform detection data;

[0050] Uniformity evaluation module: based on the uniformity coefficient, the uniformity of the fuel slurry is evaluated and a uniformity evaluation signal is generated;

[0051] The uniformity evaluation signal includes: a uniform signal and an ununiform signal;

[0052] Route planning module: plans the stirring route based on the uneven signal, so as to continue stirring the fuel slurry based on the stirring route;

[0053] Circulation module: re-test the uniformity of the fuel slurry after stirring until a uniform signal is generated.

[0054] Beneficial effects of the present invention:

[0055] (1) The present invention first divides the fuel liquid into multiple detection areas, and further subdivides each area into detection sub-areas, uses ultrasonic technology to detect the uniformity of each sub-area, and identifies the area with abnormal uniformity by comparing the uniformity characterization value with the preset threshold; then, merges the adjacent abnormal sub-areas, and calculates the abnormal value of each detection area, which comprehensively considers the deviation degree and area proportion of the abnormal area; next, calculates the mean of the abnormal values ​​of all detection areas as a characterization of the overall uniformity of the fuel liquid; at the same time, analyzes the deviation ratio variance of the abnormal sub-areas in each detection area, and sums them up to obtain the uniform distribution characterization value, which reflects the distribution of uniformity in the global range; based on the above two characterization values, calculates the uniformity coefficient by a preset formula, and the coefficient is a comprehensive reflection of the uniformity degree and the distribution status; finally, compares the calculated uniformity coefficient with the preset threshold The values ​​are compared. If they are less than or equal to the threshold, it is determined that the fuel raw liquid has reached the uniformity standard and a uniform signal is generated; if they are greater than the threshold, it indicates that the uniformity is insufficient and a non-uniform signal is generated. The present invention first introduces a refined regional division strategy. Compared with the traditional method, this strategy can capture the tiny non-uniformities in the raw materials more carefully, thereby improving the accuracy and precision of the evaluation. Secondly, in combination with ultrasonic detection technology, non-contact and non-destructive uniformity detection is realized, which not only ensures the real-time detection, but also avoids physical interference with the raw liquid. Most importantly, the present invention constructs a comprehensive evaluation system, which not only covers the quantitative characterization of the uniformity, but also considers the global distribution of the uniformity. By comprehensively considering these two dimensions, the evaluation results are more comprehensive and objective, providing an effective means for quality control in the production process.

[0056] (2) Based on the uneven signal, the present invention merges the detection areas according to the characteristics of the stirring equipment and the stirring direction to form multiple route analysis areas; then, the abnormal evaluation coefficient of each area is calculated and compared with the preset threshold to identify the route areas that urgently need stirring, and by connecting these areas, an efficient stirring path is planned; next, the stirring equipment is guided to stir according to the planned route to enhance the uniformity of the fuel slurry; after the stirring is completed, the uniformity detection process is started again to verify the stirring result; if the uniformity standard is still not met, the stirring route is re-planned based on the new detection result, and the stirring and detection process is repeated until the fuel slurry is completely uniform and a uniform signal is generated; the present invention realizes the full automation and intelligence from detection to stirring to verification, which significantly improves production efficiency and product quality. Its precise detection technology and intelligent planning algorithm ensure the efficiency and rationality of the stirring path and reduce energy consumption and cost. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] The present invention will be further described below in conjunction with the accompanying drawings.

[0058] Figure 1It is a flowchart of the present invention;

[0059] Figure 2 It is a system block diagram of the present invention. DETAILED DESCRIPTION

[0060] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0061] Embodiment 1:

[0062] A method for producing an ether-based fuel for a vehicle according to an embodiment of the present invention comprises:

[0063] S1: Preparation of synergist base components:

[0064] Fully mixing polyoxymethylene dimethyl ether, liquid paraffin and palm oil according to weight ratio at normal temperature and pressure to obtain a fuel base component;

[0065] S2: Preparation of fuel liquid and finished products:

[0066] The solvent is added to the fuel base component prepared in S1, and the mixture is stirred thoroughly and evenly to obtain the fuel stock solution, which is then allowed to stand and settle to obtain the finished product.

[0067] Embodiment 2:

[0068] Based on Example 1, during the preparation of the automotive ether-based fuel, the components need to be fully mixed. If the mixing is not uniform, the performance of the automotive ether-based fuel will be unstable, and problems such as incomplete combustion, increased carbon deposits, and increased emissions may occur, which will not only affect the normal operation of the engine, but also increase maintenance costs and environmental pollution; please refer to Figure 1 As shown, an optimization method for generating a vehicle ether-based fuel according to an embodiment of the present invention comprises the following steps:

[0069] Step 1: Detect the uniformity of the fuel raw liquid and obtain uniformity detection data;

[0070] The uniform detection data includes: uniformity characterization value and uniform distribution characterization value;

[0071] In some embodiments, the fuel slurry is evenly divided into regions to obtain multiple detection regions;

[0072] Obtain the regional outlier value of each detection area respectively, and the regional outlier value of all detection areas, and calculate the uniformity characterization value and the uniform distribution characterization value respectively;

[0073] First, specifically, the process of obtaining regional outliers is as follows:

[0074] Based on any detection area, the detection area is divided into a grid area to obtain a plurality of detection sub-areas, and each detection sub-area is detected by using an ultrasonic instrument to obtain a uniform characterization value of each detection sub-area;

[0075] It should be explained that the uniform characterization value represents the uniformity condition of each detection sub-area. The basis for obtaining the uniform characterization value is that when ultrasonic waves propagate in a non-uniform medium, they will interact with scatterers such as heterogeneous interfaces, enhanced phases, pores, etc. in the medium, causing reflection, refraction and scattering of the sound waves, thereby obtaining a uniform characterization value representing the uniformity condition of each detection sub-area based on the characteristic information in the reflected and scattered echo signals; for example, a sound wave with a fixed wave intensity is emitted to the detection sub-area, the intensity of the sound wave in the echo signal is detected, the echo detection intensity is obtained, the difference between the echo detection intensity and the echo standard intensity is calculated, and the absolute value is taken to obtain the echo intensity difference, the echo intensity difference is calculated as a ratio of the echo standard intensity, that is, the uniform characterization value is obtained;

[0076] Based on the uniform characterization value of any detection sub-region, the uniform characterization value of the detection sub-region is calculated with the uniform characterization threshold value corresponding to the detection sub-region, and the absolute value is taken to obtain the uniform deviation value, and then the uniform deviation value is calculated with the uniform characterization threshold value to obtain the uniform deviation ratio of the detection sub-region;

[0077] It should be explained that the uniform characterization threshold corresponding to the detection sub-region is a uniform characterization value preset for the detection sub-region by a person skilled in the art according to the production process of the fuel raw liquid, and the value is an empirical value;

[0078] Preset a uniform deviation ratio threshold, and compare and analyze the uniform deviation ratio of each detection sub-area with the uniform deviation ratio threshold;

[0079] If the uniform deviation ratio is less than or equal to the uniform deviation ratio threshold, it means that the uniformity of the detection sub-region meets the preset standard, that is, a uniform signal of the detection sub-region is generated;

[0080] If the uniform deviation ratio is greater than the uniform deviation ratio threshold, it indicates that the uniformity of the detection sub-region is abnormal, that is, an inhomogeneous detection sub-region signal is generated, and the detection sub-region is marked as an abnormal detection sub-region;

[0081] Merge all adjacent anomaly detection sub-regions to obtain one or more anomaly regions;

[0082] By formula: Calculate the regional abnormal value QY of the detection area, where N is the total number of abnormal areas in the detection area, i is the i-th abnormal area in the detection area, and the value of i is 1, 2, 3, ..., N, PJ i is the average value of the uniform deviation ratio of the ith abnormal region (the average value of the uniform deviation ratio is the average of the uniform deviation ratios of all abnormal detection sub-regions in the abnormal region), S i is the area of ​​the ith abnormal area, and SZ is the total area of ​​the detection area;

[0083] Second, specifically, the process of obtaining the uniformity characterization value is as follows:

[0084] Calculate the average of the regional outliers in all the detection areas to obtain a uniformity representation value;

[0085] Thirdly, the process of obtaining the uniform distribution characterization value is as follows:

[0086] Extract the average deviation ratio of the abnormal detection sub-regions in each detection region;

[0087] Based on any detection area, the variance of the uniform deviation ratio of all abnormal detection sub-areas in the detection area is calculated to obtain the variance value of the abnormal degree of the sub-area in the detection area;

[0088] The variance values ​​of the abnormality levels of all sub-regions of the detection area are summed up to obtain a uniform distribution representation value;

[0089] Step 2: Calculate the uniformity coefficient based on the uniform detection data;

[0090] In some embodiments, by the formula: Calculate the uniformity coefficient JY, where a1 and a2 are preset proportional factors and are both greater than 0, CD is a uniformity characterization value, and FB is a uniform distribution characterization value;

[0091] Step 3: Based on the uniformity coefficient, the uniformity of the fuel slurry is evaluated and a uniformity evaluation signal is generated;

[0092] The uniformity evaluation signal includes: a uniform signal and an ununiform signal;

[0093] In some embodiments, a uniformity coefficient threshold is preset, and the uniformity coefficient is compared and analyzed with the uniformity coefficient threshold;

[0094] If the uniformity coefficient is less than or equal to the uniformity coefficient threshold, it means that the uniformity of the fuel slurry is less different from the preset standard, that is, a uniform signal is generated;

[0095] If the uniformity coefficient is greater than the uniformity coefficient threshold, it means that the uniformity of the fuel slurry is significantly different from the preset standard, that is, an uneven signal is generated;

[0096] The technical solution of the embodiment of the present invention is mainly as follows: first, the fuel raw liquid is divided into multiple detection areas, and each area is further subdivided into detection sub-areas, and the uniformity of each sub-area is detected by using ultrasonic technology, and the area with abnormal uniformity is identified by comparing the uniform characterization value with the preset threshold; then, the adjacent abnormal sub-areas are merged, and the abnormal value of each detection area is calculated, and the value comprehensively considers the deviation degree and area proportion of the abnormal area; next, the mean of the abnormal values ​​of all detection areas is calculated as a characterization of the overall uniformity of the fuel raw liquid; at the same time, the deviation ratio variance of the abnormal sub-areas in each detection area is analyzed, and the uniform distribution characterization value is obtained by summing up to reflect the distribution of uniformity in the global range; based on the above two characterization values, the uniformity coefficient is calculated by a preset formula, and the coefficient is a comprehensive reflection of the uniformity degree and the distribution status; finally, the calculated uniformity coefficient is compared with the preset The threshold is compared, if it is less than or equal to the threshold, it is determined that the fuel raw liquid has reached the uniformity standard and a uniform signal is generated; if it is greater than the threshold, it indicates that the uniformity is insufficient and a non-uniform signal is generated; the embodiment of the present invention first introduces a refined area division strategy. Compared with the traditional method, this strategy can more carefully capture the tiny non-uniformities in the raw materials, thereby improving the accuracy and precision of the evaluation; secondly, combined with ultrasonic detection technology, non-contact and non-destructive uniformity detection is realized, which not only ensures the real-time detection, but also avoids physical interference with the raw liquid; most importantly, the embodiment of the present invention constructs a comprehensive evaluation system, which not only covers the quantitative representation of the degree of uniformity, but also takes into account the distribution of uniformity in a global range. By comprehensively considering these two dimensions, the evaluation results are more comprehensive and objective, which provides an effective means for quality control in the production process.

[0097] Embodiment 3:

[0098] Based on Example 1 and Example 2, please refer to Figure 1 As shown, the optimization method for generating a vehicle ether-based fuel according to an embodiment of the present invention further includes the following steps:

[0099] Step 4: planning a stirring route based on the non-uniform signal, thereby continuing to stir the fuel slurry based on the stirring route;

[0100] In some embodiments, based on the non-uniform signal, each detection area is merged to obtain multiple route analysis areas;

[0101] It should be explained that the basis for merging the various detection areas to obtain multiple route analysis areas is to merge the various detection areas based on the shape and stirring direction of the stirring rod; for example, the stirring rod is in a vertical direction and the stirring direction is in a horizontal direction, that is, the detection areas in the same vertical direction are divided into one route analysis area;

[0102] Calculate the abnormality assessment coefficient of each route analysis area respectively, and then compare and analyze the abnormality assessment coefficient with the abnormality assessment coefficient threshold;

[0103] If the anomaly assessment coefficient is less than or equal to the anomaly assessment coefficient threshold, it means that the degree of anomaly in the route analysis area is small, that is, a route non-essential signal is generated;

[0104] If the abnormality assessment coefficient is greater than the abnormality assessment coefficient threshold, it means that the abnormality of the route analysis area is relatively large, that is, a route urgent signal is generated, and the route analysis area is marked as a route urgent area;

[0105] Connect all the routes in urgent need of areas to obtain a continuous mixing route;

[0106] Specifically, the process of obtaining the abnormal evaluation coefficient is as follows:

[0107] Based on any route analysis area, the regional outlier values ​​of all detection areas within the route analysis area are summed up to obtain an outlier assessment coefficient;

[0108] Step 5: re-test the uniformity of the stirred fuel slurry until a uniform signal is generated;

[0109] The technical solution of the embodiment of the present invention is mainly as follows: based on the uneven signal, the detection areas are merged according to the characteristics of the stirring equipment and the stirring direction to form multiple route analysis areas; then, the abnormal assessment coefficient of each area is calculated and compared with the preset threshold to identify the route areas that urgently need stirring, and an efficient stirring path is planned by connecting these areas; next, the stirring equipment is guided to stir according to the planned route to enhance the uniformity of the fuel slurry; after the stirring is completed, the uniformity detection process is started again to verify the stirring result; if the uniformity standard is still not met, the stirring route is re-planned based on the new detection result, and the stirring and detection process is repeated until the fuel slurry is completely uniform and a uniform signal is generated; the embodiment of the present invention realizes the full automation and intelligence from detection to stirring to verification, which significantly improves production efficiency and product quality. Its precise detection technology and intelligent planning algorithm ensure the efficiency and rationality of the stirring path and reduce energy consumption and cost.

[0110] Embodiment 4:

[0111] Based on Example 1, Example 2 and Example 3, please refer to Figure 2 As shown, an optimization system for generating ether-based fuel for vehicles according to an embodiment of the present invention comprises:

[0112] Data acquisition module: detect the uniformity of the fuel raw liquid and obtain uniformity detection data;

[0113] The uniform detection data includes: uniformity characterization value and uniform distribution characterization value;

[0114] Data processing module: calculate uniformity coefficient based on uniform detection data;

[0115] Uniformity evaluation module: based on the uniformity coefficient, the uniformity of the fuel slurry is evaluated and a uniformity evaluation signal is generated;

[0116] The uniformity evaluation signal includes: a uniform signal and an ununiform signal;

[0117] Route planning module: plans the stirring route based on the uneven signal, so as to continue stirring the fuel slurry based on the stirring route;

[0118] Circulation module: re-test the uniformity of the fuel slurry after stirring until a uniform signal is generated.

[0119] The above thresholds are set for the convenience of comparison. The thresholds depend on the amount of sample data and the number of bases set by technicians in this field for each set of sample data.

[0120] The above formulas are obtained by collecting a large amount of data and performing software simulation to select a formula close to the actual value. The factors in the formula are set by technicians in this field according to actual conditions; for example: Formula A technician in this field collects multiple groups of uniform detection data and sets a corresponding uniform coefficient for each group of uniform detection data; substitutes the set uniform coefficient and the collected uniform detection data into the formula, any two formulas constitute a binary linear equation system, the calculated factors are screened and averaged, and the values ​​of a1, a2, and a3 are obtained to be 1.43 and 1.24 respectively;

[0121] The size of the factor is to quantify each parameter to obtain a specific value for subsequent comparison. The size of the factor depends on the amount of uniform detection data and the preliminary setting of the corresponding uniform coefficient for each set of uniform detection data by technical personnel in this field; as long as it does not affect the proportional relationship between the parameter and the quantized value, such as the uniform coefficient is proportional to the value representing the uniformity degree.

[0122] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A method for optimizing the production of automotive ether-based fuel, characterized in that: The following steps are involved: Step 1: Detect the uniformity of the fuel raw liquid and obtain uniformity detection data; The uniform detection data includes: uniformity characterization value and uniform distribution characterization value; Step 2: Calculate the uniformity coefficient based on the uniform detection data; Step 3: Based on the uniformity coefficient, the uniformity of the fuel raw liquid is evaluated and a uniformity evaluation signal is generated; The uniformity evaluation signal includes: a uniform signal and an ununiform signal; Step 4: Based on the uneven signal, the stirring route is planned, so as to continue stirring the fuel raw liquid based on the stirring route. The specific process is as follows: Based on the uneven signal, each detection area is merged to obtain multiple route analysis areas; Calculate the abnormality assessment coefficient of each route analysis area respectively, and then compare and analyze the abnormality assessment coefficient with the abnormality assessment coefficient threshold; If the abnormal evaluation coefficient is less than or equal to the abnormal evaluation coefficient threshold, a route non-essential signal is generated; If the abnormality assessment coefficient is greater than the abnormality assessment coefficient threshold, a route urgent need signal is generated, and the route analysis area is marked as a route urgent need area; Connect all the routes in urgent need of areas to obtain a continuous mixing route; Step 5: Re-test the homogeneity of the stirred fuel liquid until a homogeneous signal is generated.

2. The optimization method for generating an ether-based fuel for a vehicle according to claim 1, characterized in that: The process of obtaining uniform detection data is as follows: The fuel raw liquid is divided into regions uniformly to obtain multiple detection regions; The regional outlier value of each detection area is obtained respectively, and the regional outlier value of all detection areas is calculated respectively, and the uniformity characterization value and the uniform distribution characterization value are calculated.

3. The optimization method for generating an ether-based fuel for a vehicle according to claim 2, characterized in that: The process of obtaining regional outliers is as follows: Based on any detection area, the detection area is divided into a grid area to obtain a plurality of detection sub-areas, and each detection sub-area is detected by using an ultrasonic instrument to obtain a uniform characterization value of each detection sub-area; Based on the uniform characterization value of any detection sub-region, the uniform characterization value of the detection sub-region is calculated with the uniform characterization threshold value corresponding to the detection sub-region, and the absolute value is taken to obtain the uniform deviation value, and then the uniform deviation value is calculated with the uniform characterization threshold value to obtain the uniform deviation ratio of the detection sub-region; Preset a uniform deviation ratio threshold, and compare and analyze the uniform deviation ratio of each detection sub-area with the uniform deviation ratio threshold; If the uniform deviation ratio is less than or equal to the uniform deviation ratio threshold, a uniform signal of the detection sub-region is generated; If the uniform deviation ratio is greater than the uniform deviation ratio threshold, an inhomogeneous signal of the detection sub-region is generated, and the detection sub-region is marked as an abnormal detection sub-region; Merge all adjacent anomaly detection sub-regions to obtain one or more anomaly regions; By formula: Calculate the regional abnormal value QY of the detection area, where N is the total number of abnormal areas in the detection area, i is the i-th abnormal area in the detection area, and the value of i is 1, 2, 3, ..., N, PJ i is the average deviation ratio of the ith abnormal area, S i is the area of ​​the ith abnormal area, and SZ is the total area of ​​the detection area.

4. The optimization method for generating an ether-based fuel for a vehicle according to claim 3, characterized in that: The process of obtaining the uniformity characterization value is as follows: The regional outliers of all detection areas are averaged to obtain a uniformity characterization value.

5. The optimization method for generating ether-based fuel for vehicles according to claim 3, characterized in that: The process of obtaining the uniform distribution characterization value is: Extract the average deviation ratio of the abnormal detection sub-regions in each detection region; Based on any detection area, the variance of the uniform deviation ratio of all abnormal detection sub-areas in the detection area is calculated to obtain the variance value of the abnormal degree of the sub-area in the detection area; The variance values ​​of the abnormality levels of all sub-regions in the detection area are summed up to obtain a uniform distribution representation value.

6. The optimization method for generating ether-based fuel for vehicles according to claim 1, characterized in that: The process of obtaining the uniformity coefficient is: By formula: Calculate the uniformity coefficient JY, where a1 and a2 are preset proportional factors and are both greater than 0, CD is a uniformity characterization value, and FB is a uniform distribution characterization value.

7. The method for optimizing the generation of ether-based fuel for vehicles according to claim 1, characterized in that: The process of generating the uniformity assessment signal is: Preset a uniformity coefficient threshold, and compare and analyze the uniformity coefficient with the uniformity coefficient threshold; If the uniformity coefficient is less than or equal to the uniformity coefficient threshold, a uniform signal is generated; If the uniformity coefficient is greater than the uniformity coefficient threshold, an uneven signal is generated.

8. The method for optimizing the generation of ether-based fuel for vehicles according to claim 1, characterized in that: The process of obtaining the abnormal evaluation coefficient is as follows: Based on any route analysis area, the regional outlier values ​​of all detection areas in the route analysis area are summed up to obtain an outlier assessment coefficient.

9. An optimization system for generating ether-based fuel for vehicles, characterized in that: The system is used to execute the method described in any one of claims 1 to 8, and the system comprises: Data acquisition module: detect the uniformity of the fuel raw liquid and obtain uniformity detection data; The uniform detection data includes: uniformity characterization value and uniform distribution characterization value; Data processing module: calculate uniformity coefficient based on uniform detection data; Uniformity evaluation module: based on the uniformity coefficient, evaluates the uniformity of the fuel raw liquid and generates a uniformity evaluation signal; The uniformity evaluation signal includes: a uniform signal and an ununiform signal; Route planning module: plans the stirring route based on the uneven signal, so as to continue stirring the fuel raw liquid based on the stirring route; Circulation module: re-test the uniformity of the stirred fuel liquid until a uniform signal is generated.

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