A method, device, medium and equipment for early warning of an operating state of a diesel vehicle

Abstract

The application provides a diesel vehicle operation state early warning method, device, medium and equipment, calculates the similarity between the current operation state data and the experimental parameters, calculates the quantitative state base value of the diesel vehicle, finds the historical emission parameters of the diesel vehicle, calculates the state coefficient of the diesel vehicle, calculates the final quantitative state value of the diesel vehicle based on the quantitative state base value and the state coefficient, and triggers the early warning if the final quantitative state value is less than the preset health state threshold. That is, by collecting the operation state parameters in the operation process of the diesel vehicle, calculating a state base value based on the similarity, calculating a state coefficient based on the historical emission parameters, determining the final quantitative state value in combination with the state base value and the state coefficient, and determining whether to trigger the early warning by judging whether the final quantitative state value is healthy, the accuracy of the diesel vehicle operation state monitoring is improved by comprehensively considering the operation state data and the experimental data and in combination with the historical state data.

Description

Technical Field

[0001] This application relates to the field of diesel vehicle monitoring technology, specifically to a method, device, medium, and equipment for early warning of the operating status of a diesel vehicle. Background Technology

[0002] Diesel vehicles are those that use diesel fuel. During operation, the combustion of diesel fuel produces various emissions that contribute to air pollution and the greenhouse effect. Therefore, monitoring diesel vehicle emissions is necessary, and unhealthy operating conditions can increase emissions. The condition of a diesel vehicle is reflected not only in its operational monitoring data but also in its emission monitoring data. However, relying on either single-dimensional operational or emission monitoring data is often insufficient to accurately determine the vehicle's condition. Therefore, a condition monitoring method that can consider all operational data of a diesel vehicle is needed. Summary of the Invention

[0003] To address the aforementioned technical problems, this application is proposed. Embodiments of this application provide a method, apparatus, medium, and device for early warning of the operating status of a diesel vehicle.

[0004] According to one aspect of this application, a method for early warning of the operating status of a diesel vehicle is provided, comprising: collecting current operating status data of the diesel vehicle; wherein the current operating status data includes current operating parameters and current emission parameters; calculating a first similarity between the current operating parameters and experimental operating parameters; the first similarity representing the maximum value of the similarity between the current operating parameters and a plurality of experimental operating parameters; calculating a second similarity between the current emission parameters and experimental emission parameters; the second similarity representing the maximum value of the similarity between the current emission parameters and a plurality of experimental emission parameters; calculating a quantitative state base value of the diesel vehicle based on the first similarity and the second similarity; searching for historical emission parameters of the diesel vehicle based on the experimental operating parameters corresponding to the first similarity; calculating a state coefficient of the diesel vehicle based on the historical emission parameters; calculating a final quantitative state value of the diesel vehicle based on the quantitative state base value and the state coefficient; and triggering an early warning if the final quantitative state value is less than a preset health state threshold.

[0005] In one embodiment, calculating the first similarity between the current operating parameters and the experimental operating parameters includes: calculating the similarity between the current operating parameters and all the experimental operating parameters; and selecting the maximum value among all similarities as the first similarity.

[0006] In one embodiment, calculating the second similarity between the current emission parameter and the experimental emission parameter includes: calculating the similarity between the current emission parameter and all the experimental emission parameters; and selecting the maximum value among all similarities as the second similarity.

[0007] In one embodiment, calculating the quantized state base value of the diesel vehicle based on the first similarity and the second similarity includes: calculating the quantized state base value of the diesel vehicle based on the ratio of the first similarity and the second similarity; wherein the quantized state base value and the ratio are positively correlated.

[0008] In one embodiment, finding the historical emission parameters of the diesel vehicle based on the experimental operating parameters corresponding to the first similarity includes: calculating a third similarity between the historical operating parameters of the diesel vehicle and the experimental operating parameters corresponding to the first similarity; if the third similarity is greater than a preset similarity threshold, then the emission parameters corresponding to the historical operating parameters are used as the historical emission parameters.

[0009] In one embodiment, calculating the state coefficient of the diesel vehicle based on the historical emission parameters includes: fitting a historical emission curve of the diesel vehicle based on the historical emission parameters; and calculating the state coefficient of the diesel vehicle based on the slope of the historical emission curve.

[0010] In one embodiment, calculating the final quantized state value of the diesel vehicle based on the quantized state base value and the state coefficient includes: taking the product of the quantized state base value and the state coefficient as the final quantized state value.

[0011] According to another aspect of this application, a diesel vehicle operating status early warning device is provided, comprising: a status data acquisition module for acquiring current operating status data of the diesel vehicle; wherein the current operating status data includes current operating parameters and current emission parameters; a first similarity calculation module for calculating a first similarity between the current operating parameters and experimental operating parameters; the first similarity representing the maximum value of the similarity between the current operating parameters and a plurality of experimental operating parameters; and a second similarity calculation module for calculating a second similarity between the current emission parameters and experimental emission parameters; the second similarity representing the maximum value of the similarity between the current emission parameters and a plurality of experimental operating parameters. The system includes: a maximum similarity value among experimental emission parameters; a quantization baseline calculation module for calculating the quantization baseline value of the diesel vehicle based on the first similarity and the second similarity; a historical parameter lookup module for looking up the historical emission parameters of the diesel vehicle based on the experimental operating parameters corresponding to the first similarity; a state coefficient calculation module for calculating the state coefficient of the diesel vehicle based on the historical emission parameters; a quantization state value calculation module for calculating the final quantization state value of the diesel vehicle based on the quantization baseline value and the state coefficient; and a warning signal triggering module for triggering a warning if the final quantization state value is less than a preset health state threshold.

[0012] According to another aspect of this application, a computer-readable storage medium is provided, the storage medium storing a computer program for performing any of the methods described above.

[0013] According to another aspect of this application, an electronic device is provided, comprising: a processor; a memory for storing processor-executable instructions; the processor being configured to perform any of the methods described above.

[0014] This application provides a method, device, medium, and equipment for early warning of the operating status of a diesel vehicle. The method involves collecting current operating status data of the diesel vehicle, including current operating parameters and current emission parameters; calculating a first similarity between the current operating parameters and experimental operating parameters, where the first similarity represents the maximum similarity between the current operating parameters and multiple experimental operating parameters; calculating a second similarity between the current emission parameters and experimental emission parameters, where the second similarity represents the maximum similarity between the current emission parameters and multiple experimental emission parameters; calculating a quantitative state baseline value for the diesel vehicle based on the first and second similarities; searching for historical emission parameters of the diesel vehicle based on the experimental operating parameters corresponding to the first similarity; and calculating... The state coefficient of the diesel vehicle; based on the quantified state base value and the state coefficient, the final quantified state value of the diesel vehicle is calculated; if the final quantified state value is less than the preset health state threshold, an early warning is triggered; that is, by collecting the operating parameters and emission parameters during the operation of the diesel vehicle, and calculating the similarity between the corresponding parameters and the experimental parameters, a state base value is calculated based on the similarity, and by finding the historical emission parameters of the diesel vehicle under the corresponding experimental operating parameters, the state coefficient is calculated based on the historical emission parameters. The final quantified state value is determined by combining the state base value and the state coefficient. Whether the early warning is triggered is determined by judging whether the final quantified state value is healthy, so as to improve the accuracy of diesel vehicle operating status monitoring by comprehensively combining operating status data, experimental data, and historical status data. Attached Figure Description

[0015] The above and other objects, features, and advantages of this application will become more apparent from the more detailed description of the embodiments of this application in conjunction with the accompanying drawings. The drawings are provided to further illustrate the embodiments of this application and form part of the specification. They are used together with the embodiments of this application to explain this application and do not constitute a limitation thereof. In the drawings, the same reference numerals generally represent the same components or steps.

[0016] Figure 1 This is a flowchart illustrating an exemplary embodiment of the diesel vehicle operation status early warning method provided in this application.

[0017] Figure 2 This is a schematic diagram of the structure of a diesel vehicle operation status early warning device provided in an exemplary embodiment of this application.

[0018] Figure 3 This is a structural diagram of an electronic device provided in an exemplary embodiment of this application. Detailed Implementation

[0019] Hereinafter, exemplary embodiments according to this application will be described in detail with reference to the accompanying drawings. Obviously, the described embodiments are merely some embodiments of this application, and not all embodiments of this application. It should be understood that this application is not limited to the exemplary embodiments described herein.

[0020] Figure 1 This is a flowchart illustrating an exemplary embodiment of the diesel vehicle operation status early warning method provided in this application. Figure 1 As shown, the operating status early warning method for this diesel vehicle includes the following steps:

[0021] Step 110: Collect the current operating status data of the diesel vehicle.

[0022] The current operating status data includes current operating parameters and current emission parameters. This application uses real-time collection of the current operating parameters and emission parameters of diesel vehicles as the basis for determining whether the diesel vehicle is operating abnormally.

[0023] Step 120: Calculate the first similarity between the current running parameters and the experimental running parameters.

[0024] The first similarity score represents the maximum similarity between the current operating parameter and multiple experimental operating parameters. The current operating parameter may include engine speed, oil temperature, oil pressure, etc. This application pre-constructs large-scale experimental data of diesel vehicles, which includes experimental emission parameters of the diesel vehicle under healthy conditions at a certain experimental operating parameter. After constructing the experimental operating parameters and experimental emission parameters, this application calculates the maximum similarity between the current operating parameter and all experimental operating parameters to determine which experimental operating state the diesel vehicle is most closely approximating.

[0025] Step 130: Calculate the second similarity between the current emission parameters and the experimental emission parameters.

[0026] The second similarity represents the maximum similarity between the current emission parameters and multiple experimental emission parameters. The current emission parameters may include nitrogen oxide emission concentration, particulate matter emission mass, etc. This application determines which experimental emission state is closest to the current emission state of the diesel vehicle by calculating the second similarity between the current emission parameters and the experimental emission parameters.

[0027] Step 140: Calculate the quantization state base value of the diesel vehicle based on the first similarity and the second similarity.

[0028] After calculating the first similarity and the second similarity, this application uses the first similarity and the second similarity to calculate the quantitative state base value of the diesel vehicle, that is, the basic value of the quantitative health state of the diesel vehicle.

[0029] Step 150: Based on the experimental operating parameters corresponding to the first similarity, find the historical emission parameters of the diesel vehicle.

[0030] This application searches for the historical emission parameters corresponding to the diesel vehicle based on the first similarity to obtain the historical emission parameters under the corresponding experimental operating parameter state, and then combines the time correlation of the historical emission parameters to comprehensively judge whether the diesel vehicle is abnormal.

[0031] Step 160: Calculate the state coefficient of the diesel vehicle based on historical emission parameters.

[0032] This application calculates the state coefficient of a diesel vehicle based on the historical emission parameters found, which is the health coefficient representing the health status of the diesel vehicle.

[0033] Step 170: Based on the quantized state base value and state coefficient, calculate the final quantized state value of the diesel vehicle.

[0034] This application determines the final quantized state value of a diesel vehicle based on the quantized state base value and state coefficient, which serves as the final criterion for determining whether the diesel vehicle is operating abnormally.

[0035] Step 180: If the final quantified state value is less than the preset health state threshold, an early warning will be triggered.

[0036] If the calculated final quantified state value is less than the health status threshold, a warning will be triggered to alert the driver. If the calculated final quantified state value is greater than or equal to the health status threshold, it indicates that the diesel vehicle is in a healthy state (i.e., normal), and no warning is required.

[0037] This application provides a method for early warning of the operating status of a diesel vehicle, which involves collecting current operating status data of the diesel vehicle, including current operating parameters and current emission parameters; calculating a first similarity between the current operating parameters and experimental operating parameters, where the first similarity represents the maximum similarity between the current operating parameters and multiple experimental operating parameters; calculating a second similarity between the current emission parameters and experimental emission parameters, where the second similarity represents the maximum similarity between the current emission parameters and multiple experimental emission parameters; calculating a quantitative state baseline value of the diesel vehicle based on the first and second similarities; searching for historical emission parameters of the diesel vehicle based on the experimental operating parameters corresponding to the first similarity; and calculating the state of the diesel vehicle based on the historical emission parameters. The system calculates the final quantified state value of a diesel vehicle based on the quantified state base value and the state coefficient. If the final quantified state value is less than a preset health state threshold, an early warning is triggered. Specifically, the system collects operating parameters and emission parameters during the operation of the diesel vehicle and calculates the similarity between the corresponding parameters and the experimental parameters. Based on this similarity, a state base value is calculated. Furthermore, the system searches for historical emission parameters of the diesel vehicle under the corresponding experimental operating parameters and calculates the state coefficient based on these historical emission parameters. The final quantified state value is determined by combining the state base value and the state coefficient. Whether an early warning is triggered is determined by judging whether the final quantified state value is healthy. This approach aims to improve the accuracy of diesel vehicle operating status monitoring by comprehensively considering operating status data, experimental data, and historical status data.

[0038] In one embodiment, step 120 can be implemented by: calculating the similarity between the current operating parameters and all experimental operating parameters; and selecting the maximum value among all similarities as the first similarity.

[0039] Record the current running parameters as follows ,in For each dimension of the running monitoring data, This represents a specific operational monitoring indicator value, denoted as the experimental operational parameter. The number of experimental running states, each component The corresponding healthy state of the diesel vehicle in the first The experimental running state of the first Each operational monitoring indicator value is denoted by its weight. This is used to measure the relative importance of each operating parameter in the condition assessment, and to meet the following requirements. Then the similarity between the current running parameters and all experimental running parameters. The calculation formula is as follows:

[0040] ;

[0041] in, The vectors to be compared are the current running parameter vector and the experimental running parameter vector. for The first in k Each weight value They are respectively The k Values.

[0042] This application calculates the similarity between the current operating parameters and each experimental operating parameter, and selects the maximum value among all similarities as the first similarity to determine the experimental operating parameter that is closest to the current operating parameters, thereby determining which experimental operating state is closest to the current operating state.

[0043] In one embodiment, step 130 can be implemented by: calculating the similarity between the current emission parameter and all experimental emission parameters; and selecting the maximum value among all similarities as the second similarity.

[0044] Let the current emission parameters be... For emission monitoring data dimensions, Let the values ​​of each emission index be denoted as the experimental emission parameters. , and each Correspondingly, each component It is a diesel vehicle in the first The experimental running state of the first The experimental values ​​of each emission indicator are denoted by the emission parameter weights. This is used to measure the relative importance of each emission monitoring indicator in the condition assessment, and to meet the requirements. The similarity between the current emission parameters and the experimental emission parameters is then... The calculation formula is as follows:

[0045] ;

[0046] in, The vectors to be compared are the current emission parameter vector and the experimental emission parameter vector. It is the inverse of the covariance matrix of the current emission parameter vector.

[0047] This application determines the experimental emission parameter that is closest to the current emission parameter by calculating the similarity between the current emission parameter and each experimental emission parameter, and selecting the maximum value among all similarities as the second similarity, thereby determining which experimental emission state is closest to the current emission state.

[0048] In one embodiment, step 140 can be implemented by: calculating the quantization state base value of the diesel vehicle based on the ratio of the first similarity and the second similarity; wherein the quantization state base value and the ratio are positively correlated.

[0049] Specifically, for a given vector of current operating parameters of a diesel vehicle and the corresponding weight vector Find the experimental parameter vector that is most similar to it, and let the corresponding index be . The calculation method is as follows:

[0050] ;

[0051] After determining the experimental operating parameter vector that is closest to the current operating parameter vector, this application calculates the similarity (i.e., the first similarity) of the operating parameter vectors. Similarity to emission parameter vectors (i.e., second similarity) The ratio of the two values ​​is then used to calculate the natural constant. The exponent of this ratio yields the quantized state base value. The specific calculation formula is as follows:

[0052] .

[0053] In one embodiment, step 150 can be implemented by: calculating the third similarity between the historical operating parameters of the diesel vehicle and the experimental operating parameters corresponding to the first similarity; if the third similarity is greater than a preset similarity threshold, then the emission parameters corresponding to the historical operating parameters are used as historical emission parameters.

[0054] Specifically, based on the experimental operating parameter vector of the diesel vehicle at its current stage ( ), analyze all historical operating parameter vectors of diesel vehicles, and identify the correlation with Similarity higher than the similarity threshold Historical operating parameter data, i.e., judgment ( Is it valid? If the condition is met, it is determined to be a historical emission parameter vector. This is used to filter out all historical emission parameter vectors under the experimental operating parameter state. These historical emission parameter vectors that meet the conditions are sorted according to the timestamp.

[0055] In one embodiment, step 160 can be implemented as follows: based on historical emission parameters, a historical emission curve of the diesel vehicle is fitted; based on the slope of the historical emission curve, the state coefficient of the diesel vehicle is calculated.

[0056] Specifically, after selecting multiple historical emission parameters, a linear regression method is used to fit the similarity sequence of the sorted historical emission parameter vectors to obtain the slope of the fitted line. ,like This indicates that the time-series emission changes are getting better and better. (in, It is the maximum absolute value among all possible slopes (used for normalization) to map the state coefficients to the interval (0.8, 1); if If the emissions situation deteriorates over time, then... , so as to map the state coefficients to the interval (1, 1.2); if If the fitting effect is not significant (this can be determined by setting certain criteria, such as the variance of the historical emission parameter vector being less than a certain threshold), then the time-series-based emission changes are considered unclear. .

[0057] In one embodiment, step 170 can be implemented by taking the product of the quantized state base value and the state coefficient as the final quantized state value.

[0058] Specifically, this application calculates the quantized state base value. With state coefficients The product of these two values ​​yields the final quantized state. The calculation formula is:

[0059]

[0060] Finally, the health status threshold is set as follows: ,when When this occurs, an early warning mechanism is triggered, indicating that the diesel vehicle's current condition may deviate from its healthy state, and corresponding inspections and maintenance are required to ensure its normal operation.

[0061] Figure 2 This is a schematic diagram of the structure of a diesel vehicle operation status early warning device provided in an exemplary embodiment of this application. Figure 2As shown, the diesel vehicle operation status warning device 20 includes: a status data acquisition module 21, used to acquire the current operation status data of the diesel vehicle; wherein, the current operation status data includes current operation parameters and current emission parameters; a first similarity calculation module 22, used to calculate the first similarity between the current operation parameters and experimental operation parameters; the first similarity represents the maximum value of the similarity between the current operation parameters and multiple experimental operation parameters; and a second similarity calculation module 23, used to calculate the second similarity between the current emission parameters and experimental emission parameters; the second similarity represents the maximum value of the similarity between the current emission parameters and multiple experimental emission parameters. The system includes: a maximum similarity between two parameters; a quantization base value calculation module 24, used to calculate the quantization base value of the diesel vehicle based on the first similarity and the second similarity; a historical parameter lookup module 25, used to look up the historical emission parameters of the diesel vehicle based on the experimental operation parameters corresponding to the first similarity; a state coefficient calculation module 26, used to calculate the state coefficient of the diesel vehicle based on the historical emission parameters; a quantization state value calculation module 27, used to calculate the final quantization state value of the diesel vehicle based on the quantization base value and the state coefficient; and a warning signal triggering module 28, used to trigger a warning if the final quantization state value is less than a preset health state threshold.

[0062] This application provides a diesel vehicle operation status early warning device, which collects the current operation status data of the diesel vehicle through a status data acquisition module 21; wherein, the current operation status data includes current operation parameters and current emission parameters; a first similarity calculation module 22 calculates a first similarity between the current operation parameters and experimental operation parameters; the first similarity represents the maximum value of the similarity between the current operation parameters and multiple experimental operation parameters; a second similarity calculation module 23 calculates a second similarity between the current emission parameters and experimental emission parameters; the second similarity represents the maximum value of the similarity between the current emission parameters and multiple experimental emission parameters; a quantization base value calculation module 24 calculates the quantized state base value of the diesel vehicle based on the first similarity and the second similarity; a historical parameter lookup module 25 looks up the historical emission parameters of the diesel vehicle based on the experimental operation parameters corresponding to the first similarity; and a state coefficient calculation module 25 calculates the quantized state base value of the diesel vehicle. The calculation module 26 calculates the state coefficient of the diesel vehicle based on historical emission parameters; the quantification state value calculation module 27 calculates the final quantification state value of the diesel vehicle based on the quantification state base value and the state coefficient; if the final quantification state value is less than the preset health state threshold, the warning signal triggering module 28 triggers a warning; that is, by collecting the operating parameters and emission parameters during the operation of the diesel vehicle, and calculating the similarity between the corresponding parameters and the experimental parameters, a state base value is calculated based on the similarity, and by finding the historical emission parameters of the diesel vehicle under the corresponding experimental operating parameters, the state coefficient is calculated based on the historical emission parameters, and the final quantification state value is determined by combining the state base value and the state coefficient. Whether the warning is triggered is determined by judging whether the final quantification state value is healthy, so as to improve the accuracy of diesel vehicle operating status monitoring by comprehensively combining operating status data and experimental data and historical status data.

[0063] In one embodiment, the first similarity calculation module 22 can be further configured to: calculate the similarity between the current running parameters and all experimental running parameters; and select the maximum value among all similarities as the first similarity.

[0064] In one embodiment, the second similarity calculation module 23 described above can be further configured to: calculate the similarity between the current emission parameter and all experimental emission parameters; and select the maximum value among all similarities as the second similarity.

[0065] In one embodiment, the quantization base value calculation module 24 can be further configured to: calculate the quantization state base value of the diesel vehicle based on the ratio of the first similarity and the second similarity; wherein the quantization state base value and the ratio are positively correlated.

[0066] In one embodiment, the historical parameter lookup module 25 can be further configured to: calculate the third similarity between the historical operating parameters of the diesel vehicle and the experimental operating parameters corresponding to the first similarity; if the third similarity is greater than a preset similarity threshold, then the emission parameters corresponding to the historical operating parameters are used as historical emission parameters.

[0067] In one embodiment, the state coefficient calculation module 26 can be further configured to: fit the historical emission curve of the diesel vehicle based on historical emission parameters; and calculate the state coefficient of the diesel vehicle based on the slope of the historical emission curve.

[0068] In one embodiment, the quantization state value calculation module 27 can be further configured to use the product of the quantization state base value and the state coefficient as the final quantization state value.

[0069] Below, for reference Figure 3 This application describes an electronic device according to embodiments thereof. The electronic device may be either or both of a first device and a second device, or a standalone device independent of them, which may communicate with the first device and the second device to receive acquired input signals from them.

[0070] Figure 3 A block diagram of an electronic device according to an embodiment of this application is illustrated.

[0071] like Figure 3 As shown, the electronic device 10 includes one or more processors 11 and memory 12.

[0072] The processor 11 may be a central processing unit (CPU) or other form of processing unit with data processing capabilities and / or instruction execution capabilities, and may control other components in the electronic device 10 to perform desired functions.

[0073] The memory 12 may include one or more computer program products, which may include various forms of computer-readable storage media, such as volatile memory and / or non-volatile memory. The volatile memory may include, for example, random access memory (RAM) and / or cache memory. The non-volatile memory may include, for example, read-only memory (ROM), hard disk, flash memory, etc. One or more computer program instructions may be stored on the computer-readable storage medium, and the processor 11 may execute the program instructions to implement the methods of the various embodiments of this application described above and / or other desired functions. Various contents such as input signals, signal components, and noise components may also be stored in the computer-readable storage medium.

[0074] In one example, the electronic device 10 may also include an input device 13 and an output device 14, which are interconnected via a bus system and / or other forms of connection mechanism (not shown).

[0075] When the electronic device is a standalone device, the input device 13 can be a communication network connector for receiving the collected input signals from the first device and the second device.

[0076] In addition, the input device 13 may also include, for example, a keyboard, a mouse, etc.

[0077] The output device 14 can output various information to the outside, including determined distance information, direction information, etc. The output device 14 may include, for example, a display, a speaker, a printer, and a communication network and its connected remote output devices, etc.

[0078] Of course, for the sake of simplicity, Figure 3 Only some of the components of the electronic device 10 relevant to this application are shown in this illustration; components such as buses, input / output interfaces, etc., are omitted. In addition, the electronic device 10 may include any other suitable components depending on the specific application.

[0079] In addition to the methods and apparatus described above, embodiments of this application may also be computer program products, which include computer program instructions that, when executed by a processor, cause the processor to perform the steps in the methods according to various embodiments of this application described in the "Exemplary Methods" section above.

[0080] The computer program product can be written in any combination of one or more programming languages ​​to perform the operations of the embodiments of this application. The programming languages ​​include object-oriented programming languages ​​such as Java and C++, as well as conventional procedural programming languages ​​such as C or similar languages. The program code can be executed entirely on the user's computing device, partially on the user's computing device, as a standalone software package, partially on the user's computing device and partially on a remote computing device, or entirely on a remote computing device or server.

[0081] Furthermore, embodiments of this application may also be computer-readable storage media storing computer program instructions thereon, which, when executed by a processor, cause the processor to perform the steps in the methods according to various embodiments of this application described in the "Exemplary Methods" section above.

[0082] The computer-readable storage medium may be any combination of one or more readable media. A readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of readable storage media (a non-exhaustive list) include: an electrical connection having one or more wires, a portable disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof.

[0083] The basic principles of this application have been described above with reference to specific embodiments. However, it should be noted that the advantages, benefits, and effects mentioned in this application are merely examples and not limitations, and should not be considered as essential features of each embodiment of this application. Furthermore, the specific details disclosed above are for illustrative and facilitative purposes only, and are not limitations. These details do not limit the application to the necessity of employing the aforementioned specific details for implementation.

[0084] The block diagrams of devices, apparatuses, devices, and systems involved in this application are merely illustrative examples and are not intended to require or imply that they must be connected, arranged, or configured in the manner shown in the block diagrams. As those skilled in the art will recognize, these devices, apparatuses, devices, and systems can be connected, arranged, and configured in any manner. Words such as “comprising,” “including,” “having,” etc., are open-ended terms meaning “including but not limited to,” and are used interchangeably with them. The terms “or” and “and” as used herein refer to the terms “and / or,” and are used interchangeably with them unless the context clearly indicates otherwise. The term “such as” as used herein refers to the phrase “such as but not limited to,” and is used interchangeably with it.

[0085] It should also be noted that in the apparatus, equipment, and methods of this application, the components or steps can be disassembled and / or recombined. These disassemblies and / or recombinations should be considered as equivalent solutions of this application.

[0086] The above description of the disclosed aspects is provided to enable any person skilled in the art to make or use this application. Various modifications to these aspects will be readily apparent to those skilled in the art, and the general principles defined herein can be applied to other aspects without departing from the scope of this application. Therefore, this application is not intended to be limited to the aspects shown herein, but rather to be accorded the widest scope consistent with the principles and novel features disclosed herein.

[0087] The above description has been given for purposes of illustration and description. Furthermore, this description is not intended to limit the embodiments of this application to the forms disclosed herein. Although numerous exemplary aspects and embodiments have been discussed above, those skilled in the art will recognize certain variations, modifications, alterations, additions, and sub-combinations thereof.

Claims

1. A method of warning of an operating state of a diesel vehicle, characterized in that, The method comprises: collecting current operating state data of the diesel vehicle; wherein the current operating state data comprises current operating parameters and current emission parameters, the current operating parameters comprise engine speed, oil temperature, and oil pressure, and the current emission parameters comprise nitrogen oxide emission concentration and particulate matter emission mass; calculating a first similarity between the current operating parameters and experimental operating parameters; the first similarity represents a maximum value of similarities between the current operating parameters and the experimental operating parameters; calculating a second similarity between the current emission parameters and experimental emission parameters; the second similarity represents a maximum value of similarities between the current emission parameters and the experimental emission parameters; calculating a quantitative state base value of the diesel vehicle based on the first similarity and the second similarity; based on the experimental operating parameters corresponding to the first similarity, searching for historical emission parameters of the diesel vehicle; calculating a state coefficient of the diesel vehicle based on the historical emission parameters; calculating a final quantitative state value of the diesel vehicle based on the quantitative state base value and the state coefficient; if the final quantitative state value is less than a preset health state threshold, triggering a warning; the calculation of the first similarity between the current operating parameters and the experimental operating parameters comprises: calculating similarities between the current operating parameters and all the experimental operating parameters; selecting a maximum value of all the similarities as the first similarity; the calculation of the second similarity between the current emission parameters and the experimental emission parameters comprises: calculating similarities between the current emission parameters and all the experimental emission parameters; selecting a maximum value of all the similarities as the second similarity; the calculation of the quantitative state base value of the diesel vehicle based on the first similarity and the second similarity comprises: calculating the quantitative state base value of the diesel vehicle based on a ratio of the first similarity to the second similarity; wherein the quantitative state base value is positively correlated with the ratio.

2. The method of claim 1, wherein the searching for the historical emission parameters of the diesel vehicle based on the experimental operating parameters corresponding to the first similarity comprises: calculating a third similarity between historical operating parameters of the diesel vehicle and the experimental operating parameters corresponding to the first similarity; if the third similarity is greater than a preset similarity threshold, taking emission parameters corresponding to the historical operating parameters as the historical emission parameters.

3. The method of claim 1, wherein the calculation of the state coefficient of the diesel vehicle based on the historical emission parameters comprises: fitting a historical emission curve of the diesel vehicle based on the historical emission parameters; calculating the state coefficient of the diesel vehicle based on a slope of the historical emission curve.

4. The method of claim 1, wherein the calculation of the final quantitative state value of the diesel vehicle based on the quantitative state base value and the state coefficient comprises: taking a product of the quantitative state base value and the state coefficient as the final quantitative state value.

5. A device for early warning of an operating state of a diesel vehicle, characterized by comprising: The method comprises: The state data collection module is configured to collect current operation state data of the diesel vehicle, wherein the current operation state data comprises current operation parameters and current emission parameters, the current operation parameters comprise engine speed, oil temperature and oil pressure, and the current emission parameters comprise nitrogen oxide emission concentration and particulate matter emission mass; The first similarity calculation module is configured to calculate a first similarity between the current operation parameters and experimental operation parameters, wherein the first similarity represents a maximum value of similarities between the current operation parameters and the experimental operation parameters; The second similarity calculation module is configured to calculate a second similarity between the current emission parameters and experimental emission parameters, wherein the second similarity represents a maximum value of similarities between the current emission parameters and the experimental emission parameters; The quantification base value calculation module is configured to calculate a quantification state base value of the diesel vehicle based on the first similarity and the second similarity; The historical parameter lookup module is configured to look up historical emission parameters of the diesel vehicle based on the experimental operation parameters corresponding to the first similarity; The state coefficient calculation module is configured to calculate a state coefficient of the diesel vehicle based on the historical emission parameters; The quantification state value calculation module is configured to calculate a final quantification state value of the diesel vehicle based on the quantification state base value and the state coefficient; The early warning signal triggering module is configured to trigger a warning if the final quantification state value is less than a preset health state threshold. The first similarity calculation module is further configured to: calculate similarities between the current operation parameters and all the experimental operation parameters; select a maximum value of all the similarities as the first similarity. The second similarity calculation module is further configured to: calculate similarities between the current emission parameters and all the experimental emission parameters; select a maximum value of all the similarities as the second similarity. The quantification base value calculation module is further configured to: calculate a quantification state base value of the diesel vehicle based on a ratio of the first similarity and the second similarity, wherein the quantification state base value is positively correlated with the ratio.

6. A computer-readable storage medium, characterized in that, The storage medium stores a computer program, and the computer program is configured to execute the method in any one of claims 1-4.

7. An electronic device, comprising: The device comprises: a processor; a memory configured to store instructions executable by the processor; and the processor is configured to execute the method in any one of claims 1-4.

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