Vehicle state monitoring management method and system based on sensor data

Abstract

The invention relates to the technical field of vehicle state monitoring technologies, and discloses a vehicle state monitoring management method and system based on sensor data, and the method comprises the steps: obtaining the state monitoring data and driving habit data of a target vehicle in real time through a sensor module; generating a use state index and a basic state evaluation index of the target vehicle in a specified time period according to the state monitoring data; obtaining a driving habit health score according to the driving habit data; obtaining a comprehensive state evaluation index of the target vehicle according to the driving habit health score and the basic state evaluation index; whether corresponding early warning reminding is sent or not is judged according to the comprehensive state evaluation index, the state of the target vehicle is comprehensively and dynamically evaluated and judged by obtaining the use state index, the basic state evaluation index and the driving habit health score capable of evaluating the driving habit health degree, and a dynamic state evaluation result is achieved; corresponding early warning reminding is provided more accurately, and the use experience of a vehicle user is improved.

Description

Technical Field

[0001] The present application relates to the technical field of vehicle status monitoring technology, and in particular to a vehicle status monitoring management method and system based on sensor data. Background Art

[0002] With the rapid development of the automotive industry and the increasing requirements of consumers for vehicle safety and comfort, the market demand for vehicle status monitoring and management methods is also increasing. The new vehicle status monitoring and management method has the advantages of high precision, real-time, intelligence and adaptability, which can meet the market's higher requirements for vehicle status monitoring. At the same time, this method can also provide valuable data support and services for vehicle manufacturers, insurance companies, traffic management departments, etc., and has broad market prospects and application value.

[0003] In the prior art, the vehicle status is monitored in real time through a vehicle-mounted vehicle status monitoring device. When an abnormal vehicle status is found, prompts and alarms are given in time. Although this monitoring method improves the vehicle driving safety to a certain extent, the vehicle status monitoring device has high requirements on the vehicle hardware configuration and high cost investment, and cannot be widely used. With the advancement of the Internet of Things and cloud computing technologies, the use of wireless communications and cloud computing centers to build a unified management vehicle status monitoring background has become another development direction. However, the situation of vehicles in driving is complicated. With the continuous development of sensor technology, the types and number of sensors carried on vehicles are increasing, but how to effectively integrate and process these data has become a challenge. Existing technologies often cannot make full use of these data, resulting in inaccurate and incomplete monitoring results.

[0004] Moreover, traditional vehicle condition monitoring methods usually lack intelligence and adaptability and cannot be dynamically adjusted and optimized according to the actual operation and external usage of the vehicle, which limits the flexibility and reliability of the monitoring system. Summary of the invention

[0005] In order to provide a vehicle status monitoring management method and system that is more flexible and has both accuracy and timeliness, the present application provides a vehicle status monitoring management method and system based on sensor data.

[0006] In a first aspect, the present application provides a vehicle status monitoring and management method based on sensor data, which adopts the following technical solution: A vehicle status monitoring and management method based on sensor data, comprising: Obtain the target vehicle's status monitoring data and driving habit data in real time through the sensor module; Generate a usage status index and a basic status evaluation index of the target vehicle in a specified time period according to the status monitoring data; Obtaining a driving habit health score based on the driving habit data; Obtaining a comprehensive status evaluation index of the target vehicle according to the driving habit health score and the basic status evaluation index; Determine whether to send a corresponding early warning reminder based on the comprehensive status evaluation index.

[0007] By adopting the above technical scheme, the present invention continuously collects and processes data of the target vehicle in units of the length of a specified time period, obtains the usage status index and basic status evaluation indicators within each corresponding specified time period, and the usage status index is used to represent the response of commonly used components of the vehicle during actual use. At the same time, by further acquiring and processing the driver's driving habit data, a driving habit health score that can evaluate the health of driving habits is obtained. After that, the status of the target vehicle is dynamically evaluated and judged comprehensively, to achieve dynamic status evaluation results, provide corresponding early warning reminders more accurately, and greatly improve the user experience.

[0008] Optionally, the method for obtaining the basic status evaluation index includes:

[0009] in, For the A specified time period, for The basic status instantaneous evaluation index at the moment, For the The usage status index for a specified time period, For the Cycle status evaluation indicators for a specified time period, For the The corresponding preset weights of the status monitoring data of each item, For the The warning value of the item status monitoring data, For the Parameter value of item status monitoring data, For the The start time of a specified time period, For the The condition monitoring data is in The average value of the parameter for a specified time period, For the Basic status evaluation indicators for a specified time period, and are the corresponding weighting coefficients respectively.

[0010] Optionally, Methods for obtaining the usage status index of a specified time period include: Get the target vehicle in the Directional rotation evaluation score for a specified time period and brake status assessment score ; Rotate the evaluation score according to the direction and the brake status evaluation score Get the The usage status index for a specified time period .

[0011] Optionally, the method for obtaining the direction rotation evaluation score includes:

[0012] in, For the The direction rotation evaluation score for a specified time period, To specify a preset constant, For the The end time of a specified time period, is the judgment function, when hour, ,when hour, , For tires Within a specified time period The actual rotation angle at the moment, For tires Within a specified time period The rotation angle at the moment, is the allowable error value.

[0013] Optionally, the method for obtaining the braking state evaluation score includes:

[0014] in, For the The brake status evaluation score for a specified time period, is the brake pedal travel value at the moment, is the brake disc braking force value corresponding to the brake pedal stepping stroke value, The theoretical brake disc braking force value corresponding to the brake pedal depression travel value.

[0015] Optionally, the usage status index The methods for obtaining include:

[0016] in, Configure constants for presets.

[0017] Optionally, the method for obtaining the driving habit health score includes: Preprocess each driving habit information of the car owner within a plurality of specified time periods to obtain corresponding sampling data; Inputting the sampled data into a pre-trained driving habit assessment model to obtain a classification output result of the driving habit assessment model; Configure the corresponding driving habit health score according to the classification output result ; Among them, the classification output results include cautious, robust, aggressive and dangerous.

[0018] Optionally, the method for obtaining the comprehensive status evaluation index includes:

[0019] in, For the A comprehensive status evaluation indicator for a specified time period.

[0020] Optionally, the process of determining whether to send a corresponding maintenance reminder or status warning according to the comprehensive status evaluation index includes: Determine the target vehicle according to the comparison result: when When the target vehicle is judged to be normal, no prompt is given; when When the target vehicle is judged to have a higher probability of performance degradation, a corresponding prompt is issued; when When the probability of the target vehicle failing increases, a corresponding prompt is issued; in, and are preset thresholds respectively.

[0021] In a second aspect, the present application provides a vehicle status monitoring and management system based on sensor data, which adopts the following technical solution: A vehicle status monitoring and management system based on sensor data, wherein a program of any one of the above-mentioned vehicle status monitoring and management methods based on sensor data is running in the system.

[0022] In summary, the present application includes at least one of the following beneficial technical effects: The present invention collects and processes data of the target vehicle uninterruptedly in units of the length of a specified time period, obtains a usage status index and a basic status evaluation index within each corresponding specified time period, and the usage status index is used to indicate the response of commonly used components of the vehicle during actual use. Meanwhile, by further acquiring and processing the driver's driving habit data, a driving habit health score that can evaluate the health of driving habits is obtained. After that, the status of the target vehicle is dynamically evaluated and judged comprehensively, and a dynamic status evaluation result is achieved, so that corresponding early warning reminders are provided more accurately, thereby greatly improving the user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 It is a schematic diagram of the vehicle status monitoring and management method in the present invention. DETAILED DESCRIPTION

[0024] Embodiments of the present application are described in detail below, examples of which are shown in the accompanying drawings.

[0025] In the description of this specification, the description with reference to the terms "certain embodiments", "one embodiment", "some embodiments", "illustrative embodiments", "examples", "specific examples", or "some examples" means that the specific features, structures, materials, or characteristics described in conjunction with the embodiments or examples are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0026] The present application embodiment discloses a vehicle state monitoring and management method based on sensor data, including: Obtain the target vehicle's status monitoring data and driving habit data in real time through the sensor module; Generate a usage status index and a basic status evaluation index of the target vehicle in a specified time period according to the status monitoring data; Obtaining a driving habit health score based on the driving habit data; Obtaining a comprehensive status evaluation index of the target vehicle according to the driving habit health score and the basic status evaluation index; Determine whether to send a corresponding early warning reminder based on the comprehensive status evaluation index.

[0027] In this embodiment of the present invention, the state of the target vehicle is monitored in units of the length of a specified time period, and uninterrupted data collection and processing are performed to obtain a usage state index and a basic state evaluation index within each corresponding specified time period. The usage state index is used to indicate the response of commonly used components of the vehicle during actual use, and the basic state evaluation index is used to evaluate the dynamic data parameters inside the vehicle. In this embodiment, the higher the value of the usage state index and the basic state evaluation index, the worse the state of the target vehicle. In addition, the present invention obtains a driving habit health score that can evaluate the health of driving habits by further acquiring and processing the driver's driving habit data, and then comprehensively and dynamically evaluates and judges the state of the target vehicle to achieve a dynamic state evaluation result, and more accurately provides corresponding early warning reminders, thereby greatly improving the user experience.

[0028] Optionally, the method for obtaining the basic status evaluation index includes:

[0029] in, For the A specified time period, for The basic status instantaneous evaluation index at the moment, For the The usage status index for a specified time period, For the Cycle status evaluation indicators for a specified time period, For the The corresponding preset weights of the status monitoring data of each item, For the The warning value of the item status monitoring data, For the Parameter value of item status monitoring data, For the The start time of a specified time period, For the The condition monitoring data is in The average value of the parameter for a specified time period, For the Basic status evaluation indicators for a specified time period, and are the corresponding weighting coefficients respectively.

[0030] In the above technical solution, the status monitoring data may include engine temperature scale, engine oil pressure, engine speed, coolant temperature, average speed, maximum speed, acceleration, exhaust temperature scale, exhaust pressure, exhaust flow, key position temperature, etc. Each of the above status monitoring data is monitored and obtained through existing sensors, which will not be elaborated here; in addition, for the first specified time period, Corresponding It is the average value of the parameter corresponding to the current specified time period.

[0031] In this embodiment of the present invention, when hour, The calculation is subject to the second specified time period corresponding to and In this way, factors that are unfavorable to the health status of the target vehicle in the second specified time period can be eliminated in the third specified time period. In the calculation process, The temperature rises faster, thus achieving more timely warning and reducing hidden dangers; for example, if the coolant temperature rises by a certain amount in the second specified time period, will rise, thus further improving settlement results.

[0032] Optionally, Methods for obtaining the usage status index of a specified time period include: Get the target vehicle in the Directional rotation evaluation score for a specified time period and brake status assessment score ; Rotate the evaluation score according to the direction and the brake status evaluation score Get the The usage status index for a specified time period .

[0033] In the above technical solution of this embodiment of the present invention, the state index is used The direction of rotation can be evaluated by reflecting the quality of the steering gear response. and a brake condition assessment score reflecting brake wear or brake friction To indicate the direction of rotation evaluation score The higher the brake status assessment score The higher it is, the worse the usage status of the target vehicle is.

[0034] Optionally, the method for obtaining the direction rotation evaluation score includes:

[0035] in, For the The direction rotation evaluation score for a specified time period, To specify a preset constant, For the The end time of a specified time period, is the judgment function, when hour, ,when hour, , For tires Within a specified time period The actual rotation angle at the moment, For tires Within a specified time period The rotation angle at the moment, is the allowable error value.

[0036] In this embodiment of the present invention, the above technical solution is to detect the matching between the steering wheel rotation angle of the target vehicle and the actual rotation angle of the wheel hub. If the matching degree between the steering wheel rotation angle and the actual rotation angle of the wheel hub is insufficient, it may be that there is a problem with the hydraulic related structure or the transmission structure, which needs to be checked. Therefore, the power function is used for calculation. , in order to find problems faster.

[0037] Optionally, the method for obtaining the braking state evaluation score includes:

[0038] in, For the The brake status evaluation score for a specified time period, is the brake pedal travel value at the moment, is the brake disc braking force value corresponding to the brake pedal stepping stroke value, The theoretical brake disc braking force value corresponding to the brake pedal depression travel value.

[0039] In this embodiment of the present invention, due to the vehicle usage scenarios and habits of different drivers, the wear of the brake pads may be different. Therefore, it is necessary to evaluate the corresponding relationship between the braking stroke force of the brake pedal and the actual braking force of the brake disc.

[0040] Optionally, the usage status index The methods for obtaining include:

[0041] in, Configure constants for presets.

[0042] By adopting the above technical solution, Normalization can be performed to reasonably control The increase in temperature is conducive to the setting of judgment criteria for maintenance reminders or status warnings in the later stage.

[0043] Optionally, the method for obtaining the driving habit health score includes: Preprocess each driving habit information of the car owner within a plurality of specified time periods to obtain corresponding sampling data; Inputting the sampled data into a pre-trained driving habit assessment model to obtain a classification output result of the driving habit assessment model; Configure the corresponding driving habit health score according to the classification output result ; Among them, the classification output results include cautious, robust, aggressive and dangerous.

[0044] The method for obtaining the comprehensive status evaluation index includes:

[0045] in, For the A comprehensive status evaluation indicator for a specified time period.

[0046] In this embodiment of the present invention, the driving habit assessment model can be established based on CNN. CNN, which stands for Convolutional Neural Network, is a deep learning algorithm mainly used in the fields of image recognition and image classification. CNN extracts features from images through convolution operations, reduces the dimension of feature maps through pooling operations, and finally performs classification or other tasks through a fully connected layer. The process of acquiring sampling data: first create a blank picture, and then load each driving habit information of the owner, such as average speed, instantaneous speed, acceleration, acceleration of acceleration, steering angle, steering angle acceleration, etc., into the blank picture one by one. Different driving habit information is replaced by different colors. The same driving habit information corresponds to the same color, but the color depth is positively correlated with the value corresponding to the driving habit information. For example, the instantaneous speed can correspond to the red curve. The pixel corresponding to the instantaneous speed of 60km / h at the corresponding moment can have a dark red value of 30%, and the pixel corresponding to the instantaneous speed of 120km / h at the corresponding moment can have a dark red value of 60%. This is conducive to increasing the data capacity of the sampling data, and there is no need to mark the speed coordinates of the corresponding curves in the picture, reducing unnecessary interference to the driving habit evaluation model, which is equivalent to improving the recognition accuracy of the driving habit evaluation model. In addition, the driving habit health score It gradually increases with different classifications such as cautious, stable, aggressive and dangerous.

[0047] Optionally, the process of determining whether to send a corresponding maintenance reminder or status warning according to the comprehensive status evaluation index includes: Determine the target vehicle according to the comparison result: when When the target vehicle is judged to be normal, no prompt is given; when When the target vehicle is judged to have a higher probability of performance degradation, a corresponding prompt is issued; when When the target vehicle is judged to have a probability of failure, a corresponding prompt is issued.

[0048] It can issue corresponding reminders earlier when the vehicle is in poor condition and / or the driver has an aggressive driving style and / or the vehicle is in poor condition. Conversely, it can reduce the frequency of maintenance reminders to the driver when the vehicle is in good condition and / or the driver has a cautious driving style. in, and are preset thresholds respectively.

[0049] In a second aspect, the present application provides a vehicle status monitoring and management system based on sensor data, which adopts the following technical solution: A vehicle status monitoring and management system based on sensor data, wherein a program of any one of the above-mentioned vehicle status monitoring and management methods based on sensor data is running in the system.

[0050] Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limitations on the present application. Ordinary technicians in this field can change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A vehicle status monitoring and management method based on sensor data, characterized in that: include: Obtain the target vehicle's status monitoring data and driving habit data in real time through the sensor module; Generate a usage status index and a basic status evaluation index of the target vehicle in a specified time period according to the status monitoring data; Obtaining a driving habit health score based on the driving habit data; Obtaining a comprehensive status evaluation index of the target vehicle according to the driving habit health score and the basic status evaluation index; Determine whether to send a corresponding early warning reminder based on the comprehensive status evaluation index.

2. The vehicle status monitoring and management method based on sensor data according to claim 1 is characterized in that: The method for obtaining the basic status evaluation index includes: ； in, For the A specified time period, for The basic status instantaneous evaluation index at the moment, For the The usage status index for a specified time period, For the Cycle status evaluation indicators for a specified time period, For the The corresponding preset weights of the status monitoring data of each item, For the The early warning value of the item status monitoring data, For the Parameter value of item status monitoring data, For the The start time of a specified time period, For the The condition monitoring data is in The average value of the parameter for a specified time period, For the Basic status evaluation indicators for a specified time period, and are the corresponding weighting coefficients respectively.

3. The vehicle status monitoring and management method based on sensor data according to claim 2 is characterized in that: No. Methods for obtaining the usage status index of a specified time period include: Get the target vehicle in the Directional rotation evaluation score for a specified time period and brake status assessment score ; Rotate the evaluation score according to the direction and the brake status evaluation score Get the The usage status index for a specified time period .

4. The vehicle status monitoring and management method based on sensor data according to claim 3 is characterized in that: The method for obtaining the direction rotation evaluation score includes: ； in, For the The direction rotation evaluation score for a specified time period, To specify a preset constant, For the The end time of a specified time period, is the judgment function, when hour, ,when hour, , For tires Within a specified time period The actual rotation angle at the moment, For tires Within a specified time period The rotation angle at the moment, is the allowable error value.

5. The vehicle status monitoring and management method based on sensor data according to claim 4 is characterized in that: The method for obtaining the braking state evaluation score includes: in, For the The brake status evaluation score for a specified time period, is the brake pedal travel value at the moment, is the brake disc braking force value corresponding to the brake pedal stepping stroke value, The theoretical brake disc braking force value corresponding to the brake pedal depression travel value.

6. The vehicle status monitoring and management method based on sensor data according to claim 3 is characterized in that: The usage status index The methods for obtaining include: in, Configure constants for presets.

7. The vehicle status monitoring and management method based on sensor data according to claim 2 is characterized in that: The method for obtaining the driving habit health score includes: Preprocess each driving habit information of the car owner within a plurality of specified time periods to obtain corresponding sampling data; Inputting the sampled data into a pre-trained driving habit assessment model to obtain a classification output result of the driving habit assessment model; Configure the corresponding driving habit health score according to the classification output result ; Among them, the classification output results include cautious, robust, aggressive and dangerous.

8. The vehicle status monitoring and management method based on sensor data according to claim 7 is characterized in that: The method for obtaining the comprehensive status evaluation index includes: in, For the A comprehensive status evaluation indicator for a specified time period.

9. The vehicle status monitoring and management method based on sensor data according to claim 7, characterized in that: The process of judging whether to send a corresponding maintenance reminder or status warning according to the comprehensive status evaluation index includes: Determine the target vehicle according to the comparison result: when When the target vehicle is judged to be normal, no prompt is given; when When the target vehicle is judged to have a higher probability of performance degradation, a corresponding prompt is issued; when When the probability of the target vehicle failing increases, a corresponding prompt is issued; in, and are preset thresholds respectively.

10. A vehicle status monitoring and management system based on sensor data, characterized in that: The vehicle status monitoring and management method based on sensor data as claimed in any one of claims 1 to 9 is running in the system.

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