Operation detection control method of new energy vehicle, cloud base station and readable storage medium

Abstract

The invention discloses a new energy vehicle operation detection control method, a cloud base station and a readable storage medium. The method comprises the steps that a first communication base station receives a request message sent by a first new energy vehicle; the first communication base station collects environment information; the first communication base station generates first operation environment information according to the request message and the environment information, and sends the first operation environment information to the cloud platform; the cloud platform obtains reference operation data according to the first operation environment information; if the cloud platform determines that the operation information is not matched with the reference operation data, the cloud platform sends adjustment information to the first new energy vehicle through the first communication base station; wherein the adjustment information is used for indicating the new energy vehicle to adjust one or more of the rotating speed information of the windscreen wiper, the vehicle speed information and the energy consumption to the reference operation data. According to the invention, the equipment safety of the windscreen wiper of the new energy vehicle, the driving safety of the vehicle and the energy consumption safety are ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of electronic digital data processing, and in particular to an operation detection and control method of a new energy vehicle, a cloud base station and a readable storage medium. Background Art

[0002] When new energy vehicles are driven in bad or extreme weather, users usually perform driving operations and equipment configuration based on personal preferences and experience.

[0003] However, due to the limitations of the driver's personal experience, it is easy to cause the wipers of new energy vehicles to be overloaded, drive too fast or too slow, and consume too much energy due to misoperation or unreasonable operation, resulting in problems with wiper safety, driving safety and energy safety. Summary of the invention

[0004] The purpose of the present invention is to provide an operation detection and control method, a cloud base station and a readable storage medium for a new energy vehicle, so as to solve the problems of low wiper safety, driving safety and energy consumption safety existing in the prior art.

[0005] To achieve the above-mentioned object, the present invention provides an operation detection and control method for a new energy vehicle, which is operated in a cloud base station, wherein the cloud base station comprises: a cloud platform and at least one communication base station, wherein the cloud platform is connected to at least one of the communication base stations via a wireless communication network; and one of the communication base stations is connected to at least one new energy vehicle via a wireless communication network; The operation detection control method comprises: The first communication base station receives a request message sent by a first new energy vehicle; wherein the first communication base station is one of at least one of the communication base stations; the first new energy vehicle is one of at least one new energy vehicle connected to the first communication base station; the request message includes operation information; The first communication base station collects environmental information; The first communication base station generates first operating environment information according to the request message and the environment information, and sends the first operating environment information to the cloud platform; The cloud platform obtains reference operating data according to the first operating environment information; If the cloud platform determines that the operating information does not match the reference operating data, it sends adjustment information to the first new energy vehicle through the first communication base station.

[0006] In the above solution, the first communication base station receives the request message sent by the first new energy vehicle, including: The first communication base station receives the request message sent by the first new energy vehicle, and performs authentication processing on the request message to obtain an authentication result; If the first communication base station determines that the content of the authentication result is passed, the request message is verified to obtain a verification result; If the first communication base station determines that the content of the authentication result is not passed, sending a request invalidation message to the first new energy vehicle; If the first communication base station determines that the verification result is passed, the request message is loaded into a preset message queue; If the first communication base station determines that the verification result is failed, it sends a request invalidation message to the first new energy vehicle.

[0007] In the above solution, the environmental information includes: weather information, road condition information and lighting information; The first communication base station collects environmental information, including: The first communication base station collects rainfall information, temperature information and humidity information of the first area; wherein the first area is the signal coverage area of ​​the first communication base station; the rainfall information includes the rainfall of the first area at each rainfall time point within a preset collection time period; the temperature information includes the temperature value of the first area at each temperature time point within the collection time period; the humidity information includes the humidity value of the first area at each humidity time point within the collection time period; The first communication base station integrates the rainfall information, the temperature information and the humidity information to obtain the weather information; The first communication base station sends a service request to the traffic control server, and receives the traffic condition information sent by the traffic control server; wherein the traffic condition information reflects the degree of traffic congestion in the first area; The first communication base station collects illumination information of the first area; wherein the illumination information reflects the illumination intensity of the first area within a collection time period; The first communication base station integrates the weather information, the road condition information and the lighting information to obtain the environmental information.

[0008] In the above solution, the environmental information includes: weather information, road condition information and lighting information; the request message also includes vehicle model information; The first communication base station generates first operating environment information according to the request message and the environment information, including: Performing data preprocessing on the vehicle model information, the operation information, the weather information and the illumination information to obtain target vehicle model information, target operation information, target weather information and target illumination information respectively; The target vehicle model information, the target operation information, the target weather information and the target illumination information are subjected to data processing to obtain vehicle model characteristic information, operation characteristic value and weather characteristic value; wherein the vehicle model characteristic value is a code characterizing the brand and model of the new energy vehicle; the operation characteristic value is a value reflecting the operation condition of the new energy vehicle; and the weather characteristic value is a multidimensional array reflecting the weather condition of the first area; The vehicle type characteristic information, the operating characteristic value, the weather characteristic value and the road condition information are integrated to obtain the first operating environment information; wherein the first operating environment information is a multidimensional array.

[0009] In the above solution, the cloud platform obtains reference operation data according to the operation environment information, including: The cloud platform acquires a regional model corresponding to the first communication base station; The cloud platform enters the first operating environment information into the regional model to obtain reference operating data corresponding to the first new energy vehicle.

[0010] In the above scheme, the operation information includes wiper speed information; the wiper speed information reflects the speed of the wiper of the new energy vehicle; the reference operation data includes a reference speed range of the wiper of the new energy vehicle; the lower limit of the reference speed range is the lowest reference speed, and the upper limit of the reference speed range is the highest reference speed; the reference speed range has a low preference speed and a high preference speed; wherein the low preference speed is lower than the high preference speed; the low preference speed is greater than the lowest reference speed; the high preference speed is less than the highest reference speed; If the cloud platform determines that the operation information does not match the reference operation data, the cloud platform sends adjustment information to the first new energy vehicle through the first communication base station, including: If the cloud platform determines that the wiper speed information is less than the minimum reference speed, the cloud platform sends wiper speed information to the first new energy vehicle through the first communication base station; wherein the wiper speed information is one of the adjustment information; the wiper speed information is used to instruct the first new energy vehicle to increase the wiper speed to the low preference speed; If the cloud platform determines that the wiper speed information is greater than the maximum reference speed, the cloud platform sends wiper speed reduction information to the first new energy vehicle through the first communication base station; wherein, the wiper speed reduction information is one type of the adjustment information; the wiper speed reduction information is used to instruct the first new energy vehicle to reduce the wiper speed to the high preference speed.

[0011] In the above solution, the operation information includes vehicle speed information; wherein the reference operation data includes a safe speed range of the new energy vehicle; If the cloud platform determines that the operation information does not match the reference operation data, the cloud platform sends adjustment information to the first new energy vehicle through the first communication base station, including: If the cloud platform determines that the vehicle speed information is less than the lower limit of the safe speed range, the cloud platform sends the vehicle speed information to the first new energy vehicle through the first communication base station; wherein the vehicle speed information is one of the adjustment information; the vehicle speed information is used to prompt the driver of the first new energy vehicle to increase the vehicle speed information to within the safe speed range; If the cloud platform determines that the vehicle speed information is greater than the upper limit of the safe speed range, it sends vehicle speed reduction information to the first new energy vehicle through the first communication base station; wherein the vehicle speed reduction information is a type of adjustment information; the vehicle speed reduction information is used to instruct the driver of the first new energy vehicle to reduce the vehicle speed information to within the safe speed range.

[0012] In the above solution, the reference operation data includes the energy threshold and energy consumption threshold of the battery of the new energy vehicle; If the cloud platform determines that the operation information does not match the reference operation data, the cloud platform sends adjustment information to the first new energy vehicle through the first communication base station, including: If the cloud platform determines that the remaining power of the first new energy vehicle is lower than the energy threshold, the cloud platform sends a takeover prompt to the first new energy vehicle through the first communication base station; If the cloud platform receives the feedback permission information sent by the first new energy vehicle through the first communication base station, the cloud platform sends low energy consumption information to the first new energy vehicle through the first communication base station; wherein, the low energy consumption information is one type of the adjustment information; the low energy consumption information is used to indicate that the energy consumption per unit time of the first new energy vehicle is reduced below the energy consumption threshold.

[0013] To achieve the above object, the present invention further provides a cloud base station, comprising: a cloud platform and at least one communication base station, wherein the cloud platform is connected to at least one of the communication base stations via cellular communication technology; and one of the communication base stations is connected to at least one new energy vehicle via a wireless communication network; The communication base station includes: a communication input module, a communication processing module and a communication output module; The communication input module is used to receive a request message sent by a first new energy vehicle; wherein the first new energy vehicle is one of at least one new energy vehicle connected to a first communication base station; the first communication base station is one of at least one of the communication base stations; the request message includes operation information; The communication processing module is used to collect environmental information; The communication output module is used to generate first operating environment information according to the request message and the environment information, and send the first operating environment information to the cloud platform; The cloud platform includes: a platform processing module and a platform control module; The platform processing module is used to obtain reference operation data according to the first operation environment information; The platform control module is configured to send adjustment information to the first new energy vehicle via the first communication base station if it is determined that the operating information does not match the reference operating data.

[0014] To achieve the above-mentioned purpose, the present invention also provides a readable storage medium, on which a computer program is stored. When the computer program stored in the readable storage medium is executed by a processor, the steps of the above-mentioned operation detection control method are implemented.

[0015] The present invention provides a new energy vehicle operation detection control method, cloud base station and readable storage medium, which obtains reference operation data that meets the operation standard based on the operation environment information through the cloud platform. If the operation information of the new energy vehicle does not meet the operation standard, the cloud platform will send adjustment information to the new energy vehicle to adjust the operation of the new energy vehicle or prompt the driver of the new energy vehicle to adjust the operation information to ensure the equipment safety of the wiper of the new energy vehicle, the driving safety of the vehicle and the energy consumption safety. Among them, the operation standard can be formulated by the developer or a qualified third party based on the actual operation of the new energy vehicle, and the operation standard is used to define the wiper safety, driving safety and energy consumption safety of the new energy vehicle under different environmental information. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 This is a flow chart of Embodiment 1 of the operation detection control method of the present invention; Figure 2 Schematic diagram of the program module of the cloud base station of the present invention. DETAILED DESCRIPTION

[0017] In order to make the purpose, technical scheme and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0018] Example 1: Please refer to Figure 1 , the present application provides an operation detection and control method for a new energy vehicle, which is operated in a cloud base station, the cloud base station comprising: a cloud platform and at least one communication base station, the cloud platform and the at least one communication base station are connected via a wireless communication network; a communication base station and at least one new energy vehicle are connected via a wireless communication network; Operational detection control methods include: S101: A first communication base station receives a request message sent by a first new energy vehicle; wherein the first communication base station is one of at least one communication base station; the first new energy vehicle is one of at least one new energy vehicle connected to the first communication base station; the request message includes vehicle model information and operation information; the operation information includes wiper speed information and vehicle speed information; S102: The first communication base station collects environmental information; wherein the environmental information includes: weather information, road condition information and light information; S103: The first communication base station generates first operating environment information according to the request message and the environment information, and sends the first operating environment information to the cloud platform; S104: The cloud platform obtains reference operation data according to the first operation environment information; wherein the reference operation data includes a reference speed range of a wiper of the new energy vehicle, a safe speed range of the speed of the new energy vehicle, and an energy threshold and an energy consumption threshold of a battery of the new energy vehicle; S105: If the cloud platform determines that the operating information does not match the reference operating data, it sends adjustment information to the first new energy vehicle through the first communication base station; wherein the adjustment information is used to instruct the new energy vehicle to adjust one or more of the wiper speed information, vehicle speed information and energy consumption to the reference operating data.

[0019] In this example, the communication base station receives the request message of the new energy vehicle and integrates the collected environmental information to obtain the operating environment information that can characterize the model and operating status of the new energy vehicle, as well as the external environment in which the new energy vehicle is currently operating.

[0020] The cloud platform obtains reference operation data that meets the operation standards based on the operation environment information. If the operation information of the new energy vehicle does not meet the operation standards, the cloud platform will send adjustment information to the new energy vehicle to adjust the operation of the new energy vehicle or prompt the driver of the new energy vehicle to adjust the operation information to ensure the equipment safety of the wipers of the new energy vehicle, the driving safety of the vehicle and the energy consumption safety. Among them, the operation standards can be formulated by the developer or a qualified third party based on the actual operation of the new energy vehicle. The operation standards are used to define the wiper safety, driving safety and energy consumption safety of the new energy vehicle under different environmental information.

[0021] In a preferred embodiment, the first communication base station receives a request message sent by the first new energy vehicle, including: The first communication base station receives the request message sent by the first new energy vehicle, and performs authentication processing on the request message to obtain an authentication result; If the first communication base station determines that the content of the authentication result is passed, it verifies the request message and obtains a verification result; If the first communication base station determines that the authentication result is not passed, it sends a request invalidation message to the first new energy vehicle; If the first communication base station determines that the verification result is passed, the request message is loaded into a preset message queue; If the first communication base station determines that the verification result is failed, it sends a request invalidation message to the first new energy vehicle.

[0022] In this example, the first communication base station authenticates the request message to ensure that the identity of the new energy vehicle accessing the cloud platform and the protocol used are compliant, thereby preventing illegal new energy vehicles or new energy vehicles that do not comply with the protocol from accessing the cloud platform and ensuring the data security of the cloud platform.

[0023] The first communication base station verifies the request message to ensure that the content in the request message is complete and has not been tampered with, thereby ensuring the processing reliability of the request message and the data security of the cloud platform.

[0024] Specifically, the request message is authenticated to obtain an authentication result, including: The first communication base station decodes the request message to obtain a decoded request message; If the first communication base station determines that the communication protocol of the decoded request message meets the predetermined protocol standard, the identity information in the request message is extracted; wherein the identity information includes: one or more of a digital certificate and a vehicle identity identifier; The first communication base station performs identity authentication on the identity information through an authentication server or an online authentication protocol to obtain an identity result; If the first communication base station determines that the identity result is passed, extracting the authorization information in the request message; The first communication base station authenticates the authorization information through the authority server to obtain an authorization result; If the first communication base station determines that the authorization result is passed, the generated content is a passed authentication result.

[0025] Exemplarily, the communication base station performs protocol analysis on the decoded request message to check whether its communication protocol complies with a predetermined protocol standard (such as ISO, IEEE standard, etc.). If the protocol complies, the base station extracts the identity information therein; otherwise, the message is discarded or logged for subsequent analysis.

[0026] The communication base station extracts identity-related data from the request message that complies with the protocol, which may include: digital certificate (Digital Certificate), such as X.509 certificate; vehicle identifier (Vehicle Identifier), such as VIN, vehicle terminal ID; other unique identifiers.

[0027] The communication base station verifies the extracted identity information through a preset authentication server (such as an AAA server) or an online authentication protocol (such as OCSP) to ensure the authenticity of the identity.

[0028] On the premise that the identity authentication is passed, the communication base station extracts the authorization information in the request message, such as access rights, function usage requests, etc. The communication base station verifies the authorization information through the policy server to confirm whether the requester has the required permissions.

[0029] New energy vehicles and communication base stations use TLS / SSL protocols to ensure the security of message transmission; digital certificates use PKI infrastructure to manage keys and authentication trust chains.

[0030] The communication base station supports abnormal request processing (such as decoding failure, protocol non-compliance, etc.), and records logs in real time to track potential problems. The communication base station processes identity authentication and authorization authentication in parallel to improve system throughput, and uses a caching mechanism to reduce repeated requests to the authentication server.

[0031] Specifically, the request message is verified to obtain the verification result, including: The first communication base station extracts the encrypted signature in the request message; The first communication base station operates the request message using the secret key to obtain a verification signature; If it is determined that the verification signature and the encryption signature are consistent, the generated content is the verification result of passing; If it is determined that the verification signature and the encryption signature are inconsistent, a verification result indicating a failure is generated.

[0032] Exemplarily, the first communication base station receives the request message, performs protocol parsing on the request message, identifies and extracts the encrypted signature contained in the message; wherein the encrypted signature is usually generated using an asymmetric encryption algorithm (such as RSA, ECDSA) to ensure the credibility of the data source. The encrypted signature is the hash value obtained by the first new energy vehicle by performing a hash operation on the request message using a hash algorithm.

[0033] The first communication base station removes the encrypted signature in the request message, performs a hash operation on the request message without the encrypted signature, generates a message digest, and sets the obtained message digest as the verification signature, wherein the hash algorithm is one of MD5, SHA-1, SHA-256 and SHA-512.

[0034] The first communication base station compares the encryption signature and the verification signature to obtain a comparison result; If the content of the comparison result is consistent, the first communication base station confirms that the message has not been tampered with and is generated by a trusted source, and generates a verification result with the content passed; if the content of the comparison result is inconsistent, the first communication base station rejects the message, generates a verification result with the content failed and records a security warning.

[0035] The first communication base station compares the encrypted signature and the verification signature to obtain a comparison result, including: If the first communication base station determines that the contents of the encryption signature and the verification signature are consistent, the first communication base station calculates the time difference between the timestamp of the encryption signature and the timestamp of the verification signature to obtain the encryption time difference; If the first communication base station determines that the contents of the encryption signature and the verification signature are inconsistent, the first communication base station generates a comparison result indicating that the contents are inconsistent; If the first communication base station determines that the encryption time difference is not greater than the preset encryption time threshold, the first communication base station generates a comparison result with consistent content; If the first communication base station determines that the verification time difference is greater than the encryption time threshold, the first communication base station generates a comparison result indicating that the content is inconsistent.

[0036] In this instance, a replay attack is the resending of previously eavesdropped data intact to the recipient. The attacker steals authentication credentials or other sensitive information through network monitoring or other means, and then resends it to the target system for deception purposes. For example, during the authentication process, the attacker may intercept and store valid usernames and passwords, and then resend these credentials at a later time to deceive the authentication server and gain access.

[0037] Therefore, this example determines whether the request message is a replay attack request by identifying whether the verification time difference exceeds the encryption time threshold, thereby ensuring the data security of the cloud platform.

[0038] Further, after the first communication base station generates a comparison result with consistent content, the method further includes: The identity information and verification signature of the first new energy vehicle are cached in a preset signature cache library.

[0039] In this step, commonly used public keys or message digest calculation results are cached to improve signature verification efficiency.

[0040] In a preferred embodiment, the first communication base station collects environmental information, including: The first communication base station collects rainfall information, temperature information and humidity information of the first area; wherein the first area is a signal coverage area of ​​the first communication base station; the rainfall information includes the rainfall of the first area at each rainfall time point within a preset collection time period; the temperature information includes the temperature value of the first area at each temperature time point within the collection time period; the humidity information includes the humidity value of the first area at each humidity time point within the collection time period; The first communication base station integrates rainfall information, temperature information and humidity information to obtain weather information; The first communication base station sends a service request to the traffic control server, and receives the traffic condition information sent by the traffic control server; wherein the traffic condition information reflects the degree of traffic congestion in the first area; The first communication base station collects illumination information of the first area; wherein the illumination information reflects the illumination intensity of the first area during the collection time period; The first communication base station integrates weather information, road condition information and lighting information to obtain environmental information.

[0041] In this example, the first communication base station collects and identifies the weather conditions in the first area by collecting rainfall information, temperature information and humidity information in the first area and integrating the rainfall information, temperature information and humidity information to obtain weather information, thereby ensuring comprehensive identification of the environmental conditions of the driving area of ​​the new energy vehicle.

[0042] The first communication base station sends a service request to the traffic control server and receives the road condition information sent by the traffic control server to ensure accurate identification of the road congestion level in the area where the new energy vehicle is located.

[0043] The first communication base station evaluates and determines the visibility of the area where the new energy vehicle is located by collecting lighting information of the first area.

[0044] Therefore, this example collects rainfall information, temperature information, humidity information, road condition information and lighting information to comprehensively identify the real environment around the new energy vehicle.

[0045] Specifically, the first communication base station collects rainfall information, temperature information and humidity information of the first area, including: The first communication base station sends a rainfall collection indication signal to the rainfall sensor, sends a temperature collection indication signal to the temperature sensor, and sends a humidity collection indication signal to the humidity sensor; wherein the rainfall collection indication signal is used to instruct the rainfall sensor to collect the rainfall of the first area within the collection time period according to a preset rainfall collection frequency; the temperature collection indication signal is used to instruct the temperature sensor to collect the temperature of the first area within the collection time period according to a preset temperature collection frequency; the humidity collection indication signal is used to instruct the humidity sensor to collect the humidity of the first area within the collection time period according to a preset humidity collection frequency; The first communication base station receives rainfall information sent by the rainfall sensor, receives temperature information sent by the temperature sensor, and receives humidity information sent by the temperature sensor.

[0046] Exemplarily, the first communication base station sends corresponding collection indication signals to the rainfall sensor, the temperature sensor and the humidity sensor according to a predetermined time schedule.

[0047] The first communication base station sends a rainfall collection instruction signal to instruct the rainfall sensor to collect rainfall information in the first area within a specified collection time period according to a preset rainfall collection frequency (e.g., every hour, every 5 minutes, etc.). For example, the instruction signal may include collection frequency, collection duration, collection area, etc.

[0048] The first communication base station sends a temperature collection instruction signal to instruct the temperature sensor to collect temperature information of the first area at a preset collection frequency (eg, every 10 minutes, every hour, etc.) within a collection time period.

[0049] The first communication base station sends a humidity collection instruction signal to instruct the humidity sensor to collect humidity information of the first area at a preset collection frequency within a collection time period.

[0050] The rainfall sensor starts collecting rainfall data at a collection frequency within a specified time period according to the received rainfall collection indication signal. The collected rainfall data will be packaged in a preset format (such as JSON or XML) and sent to the first communication base station.

[0051] The temperature sensor starts to collect temperature data in the specified time period and at the collection frequency according to the received temperature collection indication signal. The temperature data is packaged in the same format and sent to the base station.

[0052] The humidity sensor starts to collect humidity data at the specified time period and frequency according to the humidity collection indication signal received. The humidity data is also packaged and sent to the base station.

[0053] The first communication base station parses the received rainfall, temperature, and humidity data, and extracts valid data according to a preset protocol (such as JSON, XML, or other custom formats).

[0054] The communication between the first communication base station and the rainfall sensor, temperature sensor and humidity sensor can use standard wireless communication protocols (such as LoRa, ZigBee, NB-IoT, etc.) or protocols based on existing mobile communication networks (such as LTE, 5G). Each communication protocol will ensure the reliability and low latency of data transmission.

[0055] To ensure the security of data transmission between sensors and base stations, encryption algorithms (such as AES and RSA) can be used during communication to protect data and prevent data tampering or leakage. In addition, sensors and base stations can use identity authentication mechanisms to ensure that only authorized devices can send collected data.

[0056] In a preferred embodiment, the first communication base station generates the first operating environment information according to the request message and the environment information, including: Preprocess the vehicle model information, operation information, weather information and illumination information to obtain target vehicle model information, target operation information, target weather information and target illumination information respectively; Data processing is performed on target vehicle model information, target operation information, target weather information and target illumination information to obtain vehicle model characteristic information, operation characteristic value and weather characteristic value; wherein the vehicle model characteristic value is a code representing the brand and model of the new energy vehicle; the operation characteristic value is a value reflecting the operation status of the new energy vehicle; and the weather characteristic value is a multidimensional array reflecting the weather status of the first area; The vehicle model characteristic information, operating characteristic values, weather characteristic values ​​and road condition information are integrated to obtain first operating environment information; wherein the operating environment information is a multidimensional array.

[0057] In this example, the accuracy and completeness of the data are ensured by removing noise, processing missing values ​​and outliers in the data preprocessing stage. This helps reduce errors in subsequent data analysis and improves the accuracy of analysis. Through data processing, useful features are extracted and the data dimension is reduced, laying the foundation for subsequent analysis. This helps reduce the complexity of data processing and improves analysis efficiency.

[0058] By integrating the operating environment information, the vehicle model characteristic information, operating characteristic values, weather characteristic values ​​and road condition information can be coded and represented, making the data more concise, easy to understand and store. This helps to quickly identify the characteristics and differences of different vehicle models in subsequent analysis.

[0059] Specifically, data preprocessing is performed on the vehicle model information, wiper speed information and weather information to obtain target vehicle model information, target speed information and target weather information, respectively, including: Delete abnormal data in vehicle model information, wiper speed information and weather information; Add interpolation data to the missing data in the vehicle model information, wiper speed information and weather information to obtain the target vehicle model information, target speed information and target weather information respectively; For example, there may be noise or erroneous data in the raw data. Abnormal data is generally caused by sensor failure, transmission error or external environmental influence, and needs to be screened before processing.

[0060] The first communication base station checks whether the vehicle model information field conforms to the expected format (such as license plate number, vehicle model ID, etc.).

[0061] The first communication base station verifies the value fields in the vehicle model information (such as engine capacity, vehicle weight, etc.) within a reasonable range, for example, whether they are less than a minimum value or exceed a maximum value.

[0062] The first communication base station deletes or replaces the vehicle model information that does not conform to the rules or logic with an "unknown" value.

[0063] The wiper speed generally varies within a certain range. If the speed data is lower than or exceeds the normal operating range (eg, 0-1000 RPM), the first communication base station determines it as abnormal.

[0064] The first communication base station checks whether the rotation speed value changes too suddenly, for example, a data point is too different from the previous and next data points (a threshold can be set, and it is judged as abnormal if it exceeds the threshold).

[0065] If the first communication base station determines that the rainfall information, temperature information and humidity information in the weather information exceed the preset normal climate range, the rainfall information, temperature information and humidity information exceeding the normal climate range are set as abnormal data. For example, if the temperature value exceeds the normal climate range (such as -50°C to 70°C), it is abnormal data.

[0066] If the first communication base station determines that the change rate of the rainfall information, temperature information and humidity information in the weather information exceeds the preset change threshold within the preset observation time, it indicates that If the weather data at a certain moment changes too much (for example, the temperature suddenly changes to more than 30°C), the rainfall information, temperature information, and temperature information whose change rate exceeds the change threshold will be set as abnormal data.

[0067] The first communication base station screens the vehicle model information, wiper speed information and weather information respectively, and deletes outliers in the data points. Anomalies can be detected by writing algorithms or using machine learning methods (such as clustering algorithms). For example, methods based on Z-score or IQR (interquartile range) can be used for anomaly detection: Z-score method: Calculate the Z-score of the data point. If the Z-score is greater than a certain threshold (for example, 3), the data point is considered abnormal. IQR method: Calculate the quartiles of the data. Abnormal data points are data points below Q1-1.5IQR or above Q3+1.5IQR.

[0068] The vehicle model information is usually category data. For missing category data, the first communication base station uses mode interpolation (i.e., uses the vehicle model category with the highest frequency) to fill in the missing values. Another way is to use interpolation based on similar vehicle models, for example, based on the owner's historical data (such as common vehicle models) or the surrounding environment (such as popular vehicle models in the city).

[0069] The wiper speed is numerical data, and the first communication base station uses linear interpolation or polynomial interpolation (such as quadratic interpolation, cubic interpolation) to fill in the missing values.

[0070] It is suitable for situations where the data change trend is relatively stable. When filling in missing points, interpolation is performed through the linear relationship between the previous and next data points.

[0071] It is suitable for situations where the data changes are more complex. It uses a higher-order polynomial formula to fit the data and perform interpolation.

[0072] Time series interpolation: If the data is recorded in time series, time series interpolation methods can be used, such as using the trends of previous and next time points for interpolation.

[0073] Weather data can be interpolated linearly, especially when the temperature, humidity and other meteorological data are relatively stable. In addition, weighted interpolation or K-nearest neighbor interpolation (KNN) can also be used to fill in missing data based on the values ​​of the surrounding adjacent time points for abnormal changes in weather data.

[0074] Interpolation techniques include: one or more of linear interpolation, spline interpolation, polynomial interpolation and KNN interpolation. Linear interpolation: Applicable to situations where the data trend is relatively stable. Spline interpolation: Applicable to situations where the data fluctuates greatly, and a higher-order spline function can be used to fit the data. Polynomial interpolation: Applicable to scenarios where the data trend is more complex and requires higher accuracy. KNN interpolation: For discrete data (such as categorical data), the non-missing values ​​of the nearest neighbors can be used to fill in the gaps.

[0075] Target vehicle model information: fills in missing data and removes abnormal vehicle model information.

[0076] Target speed information: The result after deleting abnormal speed data and interpolating to fill in the missing speed data.

[0077] Target weather information: data after removing abnormal weather data and interpolating to fill in missing weather information.

[0078] Target data (vehicle information, speed information, weather information) Abnormal data detection algorithm: Z-score, IQR method or machine learning method (such as isolation forest) is used to detect abnormal data.

[0079] Choice of interpolation algorithm: Use majority interpolation for categorical data, and use linear interpolation, polynomial interpolation, or KNN interpolation for continuous numerical data.

[0080] Data verification and evaluation: After filling in the missing data, the base station should verify the target data to ensure data consistency and accuracy. For example, the rationality of the interpolated data can be checked by comparing historical data, external data sources, or physical rules.

[0081] Specifically, data processing is performed on the target vehicle model information, the target speed information and the target weather information to obtain vehicle model characteristic information, wiper characteristic values ​​and weather characteristic values, including: The first communication base station extracts vehicle model characteristic information from the target vehicle model information according to preset vehicle model rules; The first communication base station obtains a wiper characteristic value of the first new energy vehicle according to the speed value at each speed time point in the target speed information; wherein the wiper characteristic value is any one of a mean, a median, and a mode of the speed value at at least one speed time point; The first communication base station obtains a rainfall characteristic value of the first new energy vehicle according to the rainfall at each rainfall time point in the target weather information; wherein the rainfall characteristic value is any one of the mean, median, and mode of the rainfall at at least one rainfall time point; The first communication base station obtains a temperature characteristic value of the first new energy vehicle according to the temperature value at each temperature time point in the target weather information; wherein the temperature characteristic value is any one of a mean, a median, and a mode of the temperature value at at least one temperature time point; The first communication base station obtains a humidity characteristic value of the first new energy vehicle according to the humidity value at each humidity time point in the target weather information; wherein the humidity characteristic value is any one of a mean, a median, and a mode of the humidity value at at least one humidity time point; The first communication base station integrates the rainfall characteristic value, the temperature characteristic value and the humidity characteristic value into a weather characteristic value.

[0082] Exemplarily, the first communication base station processes the target vehicle model information according to preset vehicle model rules (such as vehicle model category, vehicle type, engine type, etc.). For example, detailed information of the vehicle model, such as engine type, driving mode, body size, etc., is obtained from a predefined vehicle model database according to the vehicle model ID.

[0083] Extract specific vehicle features from the target vehicle information. For example: engine type (such as electric, hybrid, fuel vehicle, etc.). Drive mode (such as front-wheel drive, rear-wheel drive, four-wheel drive, etc.). Vehicle category (such as sedan, SUV, truck, etc.).

[0084] The extracted vehicle model feature information will be used for subsequent vehicle behavior analysis or combined with other data (such as wiper features, weather features, etc.).

[0085] The target speed information includes the wiper speed values ​​at different time points. The wiper speed value is usually a continuous sequence of values, representing the wiper speed at each moment. The base station calculates the wiper characteristic value based on the speed value at each speed time point (such as 500 RPM, 600 RPM, etc.). The calculation method can use any of the following statistical indicators: Mean: Take the average of the speed values ​​at all time points.

[0086] Median: Calculates the median of all RPM values.

[0087] Mode: Calculates the speed value with the highest frequency.

[0088] For example, if the collected speed value is [500, 550, 600, 550, 600], then: Mean: (500 + 550 + 600 + 550 + 600) / 5 = 560 RPM.

[0089] Median: After sorting, it is [500, 550, 550, 600, 600], and the median is 550 RPM.

[0090] Mode: The most frequent numbers are 550 and 600. If you choose only one mode, it is 550 RPM.

[0091] The target weather information contains rainfall data at each time point. The rainfall data is usually recorded per hour or per minute. The base station calculates the rainfall characteristic value based on the rainfall at each rainfall time point. The calculation method can use any of the following statistical methods: Mean: The average of all rainfall amounts at all points in time.

[0092] Median: The median rainfall amount.

[0093] Mode: The most frequently occurring value in rainfall.

[0094] For example, if the collected rainfall is [5, 10, 8, 7, 5], then: Mean: (5 + 10 + 8 + 7 + 5) / 5 = 7 mm.

[0095] Median: After sorting, it is [5, 5, 7, 8, 10], and the median is 7 mm.

[0096] Mode: 5 mm is the mode.

[0097] The target weather information contains the temperature value at each time point. The base station calculates the temperature characteristic value based on the temperature value at each temperature time point. The calculation method can use any of the following statistical methods: Mean: The average value of temperature at all time points.

[0098] Median: The median of the temperature values.

[0099] Mode: The temperature value that occurs most frequently.

[0100] For example, if the collected temperatures are [22, 23, 21, 22, 23], then: Mean: (22 + 23 + 21 + 22 + 23) / 5 = 22.2 °C.

[0101] Median: After sorting, it is [21, 22, 22, 23, 23], and the median is 22 °C.

[0102] Mode: 22 and 23 °C are the modes, choose 22 °C.

[0103] The target weather information contains the humidity value at each time point. The base station calculates the humidity characteristic value based on the humidity value at each humidity time point. The calculation method can use any of the following statistical methods: Mean: The average value of humidity values ​​at all time points.

[0104] Median: The median of the humidity values.

[0105] Mode: The humidity value that occurs most frequently.

[0106] For example, if the collected humidity is [65, 70, 68, 65, 67], then: Mean: (65 + 70 + 68 + 65 + 67) / 5 = 67 %.

[0107] Median: After sorting, it is [65, 65, 67, 68, 70], and the median is 67%.

[0108] Mode: 65% is the mode.

[0109] The first communication base station integrates the calculated rainfall characteristic value, temperature characteristic value and humidity characteristic value into an overall weather characteristic value to describe the environment that the first new energy vehicle is in. The vehicle type characteristic information, wiper characteristic value and weather characteristic value are integrated into a multidimensional array as base station attribute information to describe the situation of the new energy vehicle as a whole from the environment in which the new energy vehicle is located and the operation status and vehicle type characteristics of the new energy vehicle itself, so as to facilitate further analysis, decision-making or control in the future, such as automatically adjusting the response of the vehicle air conditioner, wiper or other systems to improve vehicle performance and user experience.

[0110] In a preferred embodiment, the cloud platform obtains reference operation data according to the operation environment information, including: The cloud platform obtains a regional model corresponding to the first communication base station; The cloud platform enters the first operating environment information into the regional model to obtain reference operating data corresponding to the first new energy vehicle.

[0111] In this example, by using the regional model corresponding to the first communication base station, the environmental conditions and vehicle operation conditions faced by the first area are analyzed in a targeted manner, thereby ensuring the accuracy of the final analysis.

[0112] By obtaining the reference speed range of the wiper of the new energy vehicle, the wiper safety of the wiper can be ensured; By obtaining the safe speed range of the new energy vehicle, the driving safety of the new energy vehicle can be ensured; By obtaining the energy threshold and energy consumption threshold of the battery of the new energy vehicle, the energy consumption safety of the battery of the new energy vehicle can be ensured.

[0113] For example, a regional model is a model in the cloud platform used to describe and store information related to a specific area (such as a city, a block, weather conditions, etc.). The model contains characteristic data about the environment, traffic, meteorology, etc. of the area, so that the performance parameters of the vehicle (such as wiper speed, power demand, etc.) can be calculated based on these data.

[0114] The cloud platform obtains the model of the area according to the location of the first communication base station (through GPS positioning, base station ID, etc.), and stores or loads relevant information of the area.

[0115] The cloud platform also uses the attribute information of the first communication base station (such as base station location, service area range, device type, etc.) to load and update the regional model. These base station attributes help to accurately locate the regional model and make the model more regionally characteristic.

[0116] The cloud platform enters the target characteristic values ​​(such as the average wiper speed, average rainfall, average temperature and average humidity) collected from the first communication base station into the corresponding regional model. Through these characteristic values, the cloud platform can calculate the reference speed range of the first new energy vehicle.

[0117] After the cloud platform enters the above characteristic values ​​into the regional model, it obtains the reference speed range of the first new energy vehicle through a series of calculation rules (such as environmental impact, climate impact, vehicle model characteristics, etc.). This range will be dynamically adjusted based on factors such as weather conditions and vehicle performance.

[0118] The cloud platform will set a speed limit based on the vehicle's safety performance requirements and regional regulations. The speed limit is used to ensure that the vehicle or equipment does not exceed the predetermined maximum speed value under certain circumstances, ensuring the normal operation and safety of the vehicle or equipment.

[0119] After obtaining the reference speed range, the cloud platform needs to check whether the calculated reference speed meets the limit requirements. In particular, the reference speed should be less than the limit speed. If the reference speed exceeds the limit speed, the cloud platform will adjust it.

[0120] Determine whether the reference speed exceeds the limit: Compare the upper limit value of the reference speed with the maximum value of the limit speed.

[0121] If the reference speed upper limit is greater than the speed limit, adjust the reference speed upper limit to the speed limit.

[0122] For example, if the calculated upper limit of the reference speed is 900 RPM, and the regional limit speed is 800 RPM, the cloud platform will adjust the upper limit of the reference speed to 800 RPM to ensure compliance with safety regulations.

[0123] The cloud platform will generate a final reference speed range based on the characteristic value, the regional model and the calculation results of the speed limit, and this reference speed range will be fed back to the first communication base station or directly transmitted to the control system of the first new energy vehicle.

[0124] The base station or vehicle control system adjusts the working state of the wiper according to the reference speed range to ensure that the wiper operates within a suitable speed range, improve the performance of the wiper, and ensure driving safety.

[0125] In this embodiment, a neural network model is used as the region model.

[0126] The operating environment information is used as the input of the neural network model, and the reference operating data is used as the output of the neural network model.

[0127] Collect a large amount of operating environment information and corresponding reference operating data as training samples.

[0128] Preprocess the data, such as normalization and denoising, to improve training efficiency and model performance.

[0129] Determine the loss function, which measures the difference between the model output and the actual value.

[0130] Select an optimization algorithm, such as gradient descent, Adam algorithm, etc., to adjust the network parameters to minimize the loss function. Set training parameters such as learning rate and number of iterations. Input the training data into the neural network and calculate the output value through forward propagation. Use the loss function to calculate the difference between the output value and the actual value, and adjust the network parameters through the back propagation algorithm. Repeat the above process until the predetermined number of training rounds is reached or the loss function value converges to a smaller range.

[0131] Deploy the trained neural network model to the actual operating environment. Ensure that the model can receive input data and output prediction results in real time. When new operating environment information is input into the model, the model will output corresponding reference operating data based on the learned knowledge.

[0132] In a preferred embodiment, the wiper speed information reflects the speed of the wiper of the new energy vehicle; the lower limit of the reference speed interval is the lowest reference speed, and the upper limit of the reference speed interval is the highest reference speed; the reference speed interval has a low preference speed and a high preference speed; wherein the low preference speed is lower than the high preference speed; the low preference speed is greater than the lowest reference speed; and the high preference speed is less than the highest reference speed; If the cloud platform determines that the operation information does not match the reference operation data, it sends adjustment information to the first new energy vehicle through the first communication base station, including: If the cloud platform determines that the wiper speed information is less than the minimum reference speed, the cloud platform sends wiper speed information to the first new energy vehicle through the first communication base station; wherein the wiper speed information is a type of adjustment information; the wiper speed information is used to instruct the first new energy vehicle to increase the wiper speed to a low preference speed; If the cloud platform determines that the wiper speed information is greater than the maximum reference speed, the cloud platform sends wiper speed reduction information to the first new energy vehicle through the first communication base station; wherein the wiper speed reduction information is a type of adjustment information; the wiper speed reduction information is used to instruct the first new energy vehicle to reduce the wiper speed to a high preference speed.

[0133] In this example, if the wiper speed information is less than the minimum reference speed, it means that the driver prefers a lower wiper wiping rate. However, too low a wiping rate will affect driving safety, so the wiper speed is adjusted to a low preferred speed. While satisfying the driver's wiper speed preference, it can also ensure that the wiper can promptly and effectively remove rainwater, thereby ensuring the driving safety of new energy vehicles.

[0134] If the wiper speed information is greater than the maximum reference speed, it means that the driver prefers a higher wiper wiping rate. However, too high a wiping rate may cause damage to the wiper equipment due to prolonged wiper overload. In this regard, the wiper speed is adjusted to a high preferred speed, which not only meets the driver's wiper speed preference, but also ensures the wiper safety.

[0135] Optionally, if the cloud platform determines that the wiper speed information is greater than the maximum reference speed, the cloud platform sends wiper speed reduction information to the first new energy vehicle through the first communication base station, including: If the cloud platform determines that the wiper speed information is greater than the maximum reference speed, the cloud platform calculates the duration that the wiper speed information of the wiper of the first new energy vehicle is greater than the maximum reference speed; If the cloud platform determines that the duration is greater than a preset time threshold, the cloud platform sends wiper speed reduction information to the first new energy vehicle through the first communication base station.

[0136] In this example, since the wipers can only be affected and damaged when they run for too long under a large load, the duration is calculated and the time threshold is set to achieve the goal of adjusting the wiper wiping speed only when the duration is too long. This reduces interference and impact on new energy vehicles while ensuring that the wiper equipment is not damaged.

[0137] Minimum reference speed: The lowest speed at which the wiper can work normally. Below this value, the wiper may not work effectively.

[0138] Maximum reference speed: The maximum speed at which the wiper can work normally. Exceeding this value may cause excessive wear or excessive energy consumption.

[0139] In addition, the reference speed range also defines the preferred speed to optimize the wiper operation in different situations.

[0140] Low preference speed: A speed value that is lower than the reference speed range, used to provide good wiping effect in light rain or mild weather conditions.

[0141] High preference speed: A higher speed value within the reference speed range, used to provide a stronger wiper effect in heavy rain or bad weather conditions.

[0142] The first communication base station communicates with the cloud platform in real time to transmit the current wiper speed information and make adjustments according to the instructions of the cloud platform.

[0143] The first communication base station will continuously receive and transmit the current wiper speed information, and the cloud platform will determine whether the speed needs to be adjusted based on this information.

[0144] Operation 1: Current wiper speed is 280 RPM Judgment: The current speed is lower than the minimum reference speed of 300 RPM and needs to be increased.

[0145] Instruction: The cloud platform generates speed indication information, and the target speed is the low preference speed of 400 RPM.

[0146] Operation 2: Current wiper speed is 850 RPM Judgment: The current speed is higher than the maximum reference speed of 800 RPM and needs to be reduced.

[0147] Instruction: The cloud platform generates a speed reduction instruction message, and the target speed is the high preference speed of 700 RPM.

[0148] By acquiring wiper speed and weather data in real time, the wiper speed is automatically adjusted to cope with different weather conditions. By automatically adjusting the wiper speed, the best view is provided during rainfall, while avoiding energy waste caused by excessive use of wipers. Combined with the collaborative work of the vehicle control system and the cloud platform, the working status of the vehicle equipment is automatically adjusted to improve driving safety and efficiency.

[0149] In a preferred embodiment, the vehicle speed information is used to characterize the driving speed of the new energy vehicle; If the cloud platform determines that the operation information does not match the reference operation data, it sends adjustment information to the first new energy vehicle through the first communication base station, including: If the cloud platform determines that the vehicle speed information is less than the lower limit of the safe speed range, the cloud platform sends the vehicle speed information to the first new energy vehicle through the first communication base station; wherein the vehicle speed information is used to prompt the driver of the first new energy vehicle to increase the vehicle speed information to within the safe speed range; If the cloud platform determines that the vehicle speed information is greater than the upper limit of the safe speed range, it sends the vehicle speed reduction information to the first new energy vehicle through the first communication base station; wherein, the vehicle speed reduction information is used to instruct the driver of the first new energy vehicle to reduce the vehicle speed information to within the safe speed range.

[0150] In this example, in rainy, snowy, windy and other weather conditions, if the speed of the new energy vehicle is too fast, the new energy vehicle may lose control or overturn. If the speed of the new energy vehicle is too slow, the new energy vehicle may be rear-ended. Therefore, this application defines the vehicle speed information through a safe speed range, and generates vehicle speed increase information or vehicle speed reduction information to remind the driver, so as to ensure that the driver can adjust the vehicle speed in time according to the vehicle speed and current environment, thereby ensuring the driving safety of the new energy vehicle.

[0151] The cloud platform first obtains the current vehicle speed information from the first new energy vehicle or other relevant data sources (such as a traffic monitoring system) in real time or periodically through its data interface or communication module.

[0152] Safe speed interval setting: The cloud platform has one or more preset safe speed intervals based on factors such as road type, weather conditions, traffic flow, etc. These intervals usually include a lower limit (minimum safe speed) and an upper limit (maximum safe speed).

[0153] Vehicle speed information judgment: The cloud platform compares the acquired vehicle speed information with the preset safe speed range.

[0154] Judgment conditions: If the vehicle speed information is less than the lower limit of the safe speed range, that is, the vehicle speed is too slow, it may affect road traffic efficiency or cause traffic congestion.

[0155] Information generation: The cloud platform automatically generates vehicle speed information based on the judgment results. This information may include the recommended speed increase value, the reason for the speed increase (such as maintaining road traffic efficiency), and possible consequences (such as traffic problems that may result from not speeding up).

[0156] Information transmission: The cloud platform sends the vehicle growth rate information to the first new energy vehicle through the first communication base station using wireless communication technology (such as 4G / 5G, Wi-Fi, etc.).

[0157] Receiving and responding: After receiving the information, the first new energy vehicle will display prompt information to the driver through its vehicle system, which may include sound, light or text / icon prompts on the display screen. The driver adjusts the speed according to the prompt.

[0158] Judgment conditions: If the vehicle speed information is greater than the upper limit of the safe speed range, that is, the vehicle speed is too fast, which may increase the risk of traffic accidents.

[0159] Information generation: The cloud platform also automatically generates vehicle speed reduction information based on the judgment results. This information may include the recommended speed reduction value, the reason for the speed reduction (such as ensuring driving safety), and possible consequences (such as serious consequences that may result from speeding).

[0160] Information transmission: The cloud platform also transmits the vehicle speed reduction information to the first new energy vehicle through the first communication base station.

[0161] Receiving and responding: After receiving the information, the first new energy vehicle also displays the prompt information to the driver through its vehicle system. The driver adjusts the speed according to the prompt to ensure driving safety.

[0162] The cloud platform continuously monitors the speed information of the first new energy vehicle to ensure that the driver has adjusted the speed to a safe speed range according to the prompts.

[0163] If the driver does not respond or the vehicle speed is not adjusted to a safe range, the cloud platform can send further reminders or take other measures (such as notifying traffic management departments).

[0164] The cloud platform can also collect driver feedback and vehicle speed adjustments to optimize future speed prompt strategies and algorithms.

[0165] In a preferred embodiment, if the cloud platform determines that the operation information does not match the reference operation data, the cloud platform sends adjustment information to the first new energy vehicle through the first communication base station, including: If the cloud platform determines that the remaining power of the first new energy vehicle is lower than the energy threshold, the cloud platform sends a takeover prompt to the first new energy vehicle through the first communication base station; If the cloud platform receives the feedback permission information sent by the first new energy vehicle through the first communication base station, the cloud platform sends low energy consumption information to the first new energy vehicle through the first communication base station; wherein, the low energy consumption information is a type of adjustment information; the low energy consumption information is used to indicate that the energy consumption per unit time of the first new energy vehicle is reduced below the energy consumption threshold.

[0166] In this example, if the remaining power of the new energy vehicle is too low, it is necessary to reduce the energy consumption of the new energy vehicle to ensure that the new energy vehicle can travel a longer distance and ensure the energy consumption safety of the new energy vehicle in bad weather and extreme weather.

[0167] This solution aims to monitor the remaining power of the first new energy vehicle in real time through the cloud platform. When the power is lower than the preset energy threshold, the cloud platform will send a takeover prompt to the vehicle to remind the driver to pay attention and take corresponding measures. If the driver agrees that the cloud platform will take over part or all of the control of the vehicle, the cloud platform will further send low-energy consumption information to guide the vehicle to reduce energy consumption per unit time to ensure that the vehicle can safely and economically drive to the nearest charging station.

[0168] Cloud platform monitoring: The cloud platform establishes a communication connection with the first new energy vehicle through the first communication base station, and obtains the remaining power information of the vehicle in real time or periodically.

[0169] Energy threshold setting: An energy threshold is preset within the cloud platform. This value is determined based on factors such as vehicle type, battery capacity, and mileage, and is used to determine whether the vehicle needs emergency takeover.

[0170] Sending a takeover prompt: When the cloud platform determines that the remaining power of the first new energy vehicle is lower than the energy threshold, it immediately sends a takeover prompt to the vehicle through the first communication base station. The prompt may include a low power warning, measures recommended for the driver to take (such as finding the nearest charging station), and a takeover request from the cloud platform.

[0171] Allow feedback information reception: After receiving the takeover prompt, the driver can choose to agree or reject the takeover request of the cloud platform. If agreed, the first communication base station sends the allow feedback information to the cloud platform.

[0172] Low energy consumption information generation: After receiving the allowed feedback information, the cloud platform generates low energy consumption information based on the current state of the vehicle (such as speed, acceleration, driving environment, etc.) and the preset low energy consumption strategy. This information may include the recommended driving speed, acceleration limit, and energy consumption target per unit time (i.e. below the energy consumption threshold); among them, low energy consumption information includes: driving speed limit, acceleration limit and air conditioning energy consumption limit; low energy consumption information is used to keep the energy consumption of new energy vehicles below the energy consumption threshold per unit time.

[0173] Low energy consumption information transmission: The cloud platform transmits the low energy consumption information to the first new energy vehicle through the first communication base station. After receiving the information, the new energy vehicle adjusts the driving speed to below the driving speed limit, adjusts the air conditioning energy consumption of the new energy vehicle to below the air conditioning energy consumption limit, and sets the acceleration limit so that the acceleration of the new energy vehicle does not exceed the acceleration limit.

[0174] Continuous monitoring by the cloud platform: The cloud platform continuously monitors the driving status and energy consumption of the first new energy vehicle to ensure that the vehicle drives according to the low-energy consumption strategy.

[0175] Dynamic adjustment: If abnormal conditions occur during vehicle driving (such as road congestion, weather changes, etc.), the cloud platform can dynamically adjust the low-energy consumption strategy according to the actual situation and send updated low-energy consumption information to the vehicle.

[0176] Example 2: Please refer to Figure 2 , the present application provides a cloud base station 2, comprising: a cloud platform 21 and at least one communication base station 22, the cloud platform 21 is connected to the at least one communication base station 22 via a wireless communication network; a communication base station 22 is connected to at least one new energy vehicle 23 via a wireless communication network; The communication base station 22 includes: a communication input module 221, a communication processing module 222 and a communication output module 223; The communication input module 221 is used to receive a request message sent by a first new energy vehicle; wherein the first new energy vehicle is one of at least one new energy vehicle connected to a first communication base station; the request message includes vehicle type information and operation information; the operation information includes wiper speed information and vehicle speed information; the first communication base station is one of at least one of the communication base stations; The communication processing module 222 is used to collect environmental information; wherein the environmental information includes: weather information, road condition information and lighting information; The communication output module 223 is used to generate first operating environment information according to the request message and the environment information, and send the first operating environment information to the cloud platform; The cloud platform 21 includes: a platform processing module 211 and a platform control module 212; The platform processing module 211 is used to obtain reference operation data according to the first operation environment information; wherein the reference operation data includes a reference speed range of the wiper of the new energy vehicle, a safe speed range of the vehicle speed of the new energy vehicle, and an energy threshold and an energy consumption threshold of the battery of the new energy vehicle; The platform control module 212 is used to send adjustment information to the first new energy vehicle through the first communication base station if it is determined that the operating information does not match the reference operating data; wherein the adjustment information is used to instruct the new energy vehicle to adjust one or more of the wiper speed information, vehicle speed information and energy consumption to the reference operating data.

[0177] Embodiment 3: To achieve the above purpose, the present invention also provides a readable storage medium, such as flash memory, hard disk, multimedia card, card-type memory (for example, SD or DX memory, etc.), random access memory (RAM), static random access memory (SRAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), programmable read-only memory (PROM), magnetic memory, disk, optical disk, server, App application store, etc., on which a computer program is stored, and the program is executed by the cloud platform and communication base station in the cloud base station to realize the corresponding function. The computer-readable storage medium of this embodiment is used to store a computer program for realizing the operation detection control method, and when executed by the cloud platform and the communication base station, the operation detection control method of embodiment 1 is realized.

[0178] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0179] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method.

[0180] The above are only preferred embodiments of the present invention, and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A method for detecting and controlling the operation of a new energy vehicle, characterized in that: Running in a cloud base station, the cloud base station includes: a cloud platform and at least one communication base station, the cloud platform is connected to at least one of the communication base stations via a wireless communication network; one of the communication base stations is connected to at least one new energy vehicle via a wireless communication network; The operation detection control method comprises: The first communication base station receives a request message sent by a first new energy vehicle; wherein the first communication base station is one of at least one of the communication base stations; the first new energy vehicle is one of at least one new energy vehicle connected to the first communication base station; the request message includes operation information; The first communication base station collects environmental information; The first communication base station generates first operating environment information according to the request message and the environment information, and sends the first operating environment information to the cloud platform; The cloud platform obtains reference operating data according to the first operating environment information; If the cloud platform determines that the operating information does not match the reference operating data, it sends adjustment information to the first new energy vehicle through the first communication base station.

2. The operation detection control method according to claim 1, characterized in that: The first communication base station receives a request message sent by the first new energy vehicle, including: The first communication base station receives the request message sent by the first new energy vehicle, and performs authentication processing on the request message to obtain an authentication result; If the first communication base station determines that the content of the authentication result is passed, the request message is verified to obtain a verification result; If the first communication base station determines that the content of the authentication result is not passed, sending a request invalidation message to the first new energy vehicle; If the first communication base station determines that the verification result is passed, the request message is loaded into a preset message queue; If the first communication base station determines that the verification result is failed, it sends a request invalidation message to the first new energy vehicle.

3. The operation detection control method according to claim 1, characterized in that: The environmental information includes: weather information, road condition information and lighting information; The first communication base station collects environmental information, including: The first communication base station collects rainfall information, temperature information and humidity information of the first area; wherein the first area is the signal coverage area of ​​the first communication base station; the rainfall information includes the rainfall of the first area at each rainfall time point within a preset collection time period; the temperature information includes the temperature value of the first area at each temperature time point within the collection time period; the humidity information includes the humidity value of the first area at each humidity time point within the collection time period; The first communication base station integrates the rainfall information, the temperature information and the humidity information to obtain the weather information; The first communication base station sends a service request to the traffic control server, and receives the traffic condition information sent by the traffic control server; wherein the traffic condition information reflects the degree of traffic congestion in the first area; The first communication base station collects illumination information of the first area; wherein the illumination information reflects the illumination intensity of the first area within a collection time period; The first communication base station integrates the weather information, the road condition information and the lighting information to obtain the environmental information.

4. The operation detection control method according to claim 1, characterized in that: The environmental information includes: weather information, road condition information and lighting information; the request message also includes vehicle model information; The first communication base station generates first operating environment information according to the request message and the environment information, including: Performing data preprocessing on the vehicle model information, the operation information, the weather information and the illumination information to obtain target vehicle model information, target operation information, target weather information and target illumination information respectively; The target vehicle model information, the target operation information, the target weather information and the target illumination information are subjected to data processing to obtain vehicle model characteristic information, operation characteristic value and weather characteristic value; wherein the vehicle model characteristic value is a code characterizing the brand and model of the new energy vehicle; the operation characteristic value is a value reflecting the operation condition of the new energy vehicle; and the weather characteristic value is a multidimensional array reflecting the weather condition of the first area; The vehicle type characteristic information, the operating characteristic value, the weather characteristic value and the road condition information are integrated to obtain the first operating environment information; wherein the first operating environment information is a multidimensional array.

5. The operation detection control method according to claim 1, characterized in that: The cloud platform obtains reference operation data according to the operation environment information, including: The cloud platform acquires a regional model corresponding to the first communication base station; The cloud platform enters the first operating environment information into the regional model to obtain reference operating data corresponding to the first new energy vehicle.

6. The operation detection control method according to claim 1, characterized in that: The operation information includes wiper speed information; the wiper speed information reflects the speed of the wiper of the new energy vehicle; The reference operation data includes a reference speed range of a wiper of a new energy vehicle; The lower limit of the reference speed interval is the lowest reference speed, and the upper limit of the reference speed interval is the highest reference speed; The reference speed interval includes a low preference speed and a high preference speed; wherein the low preference speed is lower than the high preference speed; the low preference speed is greater than the lowest reference speed; and the high preference speed is less than the highest reference speed; If the cloud platform determines that the operation information does not match the reference operation data, the cloud platform sends adjustment information to the first new energy vehicle through the first communication base station, including: If the cloud platform determines that the wiper speed information is less than the minimum reference speed, the cloud platform sends wiper speed information to the first new energy vehicle through the first communication base station; wherein the wiper speed information is one of the adjustment information; the wiper speed information is used to instruct the first new energy vehicle to increase the wiper speed to the low preference speed; If the cloud platform determines that the wiper speed information is greater than the maximum reference speed, the cloud platform sends wiper speed reduction information to the first new energy vehicle through the first communication base station; wherein, the wiper speed reduction information is one type of the adjustment information; the wiper speed reduction information is used to instruct the first new energy vehicle to reduce the wiper speed to the high preference speed.

7. The operation detection control method according to claim 1, characterized in that: The operation information includes vehicle speed information; wherein the reference operation data includes a safe speed range of the new energy vehicle; If the cloud platform determines that the operation information does not match the reference operation data, the cloud platform sends adjustment information to the first new energy vehicle through the first communication base station, including: If the cloud platform determines that the vehicle speed information is less than the lower limit of the safe speed range, the cloud platform sends the vehicle speed information to the first new energy vehicle through the first communication base station; wherein the vehicle speed information is one of the adjustment information; the vehicle speed information is used to prompt the driver of the first new energy vehicle to increase the vehicle speed information to within the safe speed range; If the cloud platform determines that the vehicle speed information is greater than the upper limit of the safe speed range, it sends vehicle speed reduction information to the first new energy vehicle through the first communication base station; wherein the vehicle speed reduction information is a type of adjustment information; the vehicle speed reduction information is used to instruct the driver of the first new energy vehicle to reduce the vehicle speed information to within the safe speed range.

8. The operation detection control method according to claim 1, characterized in that: The reference operation data includes an energy threshold and an energy consumption threshold of a battery of a new energy vehicle; If the cloud platform determines that the operation information does not match the reference operation data, the cloud platform sends adjustment information to the first new energy vehicle through the first communication base station, including: If the cloud platform determines that the remaining power of the first new energy vehicle is lower than the energy threshold, the cloud platform sends a takeover prompt to the first new energy vehicle through the first communication base station; If the cloud platform receives the feedback permission information sent by the first new energy vehicle through the first communication base station, the cloud platform sends low energy consumption information to the first new energy vehicle through the first communication base station; wherein, the low energy consumption information is one type of the adjustment information; the low energy consumption information is used to indicate that the energy consumption per unit time of the first new energy vehicle is reduced below the energy consumption threshold.

9. A cloud base station, characterized in that: include: A cloud platform and at least one communication base station, wherein the cloud platform is connected to at least one of the communication base stations via cellular communication technology; One of the communication base stations is connected to at least one new energy vehicle via a wireless communication network; The communication base station includes: a communication input module, a communication processing module and a communication output module; The communication input module is used to receive a request message sent by a first new energy vehicle; wherein the first new energy vehicle is one of at least one new energy vehicle connected to a first communication base station; the first communication base station is one of at least one of the communication base stations; the request message includes operation information; The communication processing module is used to collect environmental information; The communication output module is used to generate first operating environment information according to the request message and the environment information, and send the first operating environment information to the cloud platform; The cloud platform includes: a platform processing module and a platform control module; The platform processing module is used to obtain reference operation data according to the first operation environment information; The platform control module is configured to send adjustment information to the first new energy vehicle via the first communication base station if it is determined that the operating information does not match the reference operating data.

10. A readable storage medium having a computer program stored thereon, characterized in that: The computer program stored in the readable storage medium implements the steps of the operation detection control method according to any one of claims 1 to 8 when executed by a processor.

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