A vehicle maintenance reminder method and system

Abstract

The present invention provides a vehicle maintenance reminder method and system, which respectively use the obtained differential pressure change amount before and after filtration and the oil product measurement value as the first change value. However, due to the different operating environments and operating conditions of the vehicle, it has a certain impact on the differential pressure before and after filtration and the oil product measurement value. The first change value is revised based on the operating environment and operating conditions of the vehicle to obtain the second change value; by comparing the differential pressure change standard value and the oil product standard value before and after filtration of the current vehicle with the second change value, the result of whether the vehicle needs maintenance reminder is obtained, improving the accuracy of judgment and extending the service life of the vehicle.

Description

Technical Field

[0001] The present invention belongs to the technical field related to vehicles, and particularly relates to a vehicle maintenance prompt method and system. Background Technique

[0002] The statements in this part only provide background technical information related to the present invention, and do not necessarily constitute prior art.

[0003] The maintenance of an automobile engine is a necessary step during vehicle use. While inspecting the engine condition, the future operating condition of the engine can be corrected. Usually, the maintenance of the engine is determined by a fixed mileage or the interval time between two maintenances, and it is not possible to accurately estimate the operating conditions of each vehicle. Some vehicles are in good operating condition, with high-quality oil products or equipment, and can still operate for a longer time. Some vehicles have harsh operating conditions. When the maintenance period is not reached, some components have reached their operating life, and continued operation will cause irreversible damage to the engine.

[0004] Currently, there are vehicle maintenance prompt solutions based on the vehicle's usage time, total mileage information, and filter differential pressure. However, due to the different operating environments and working conditions of different vehicles, using only the vehicle's usage time, total mileage information, and filter differential pressure for direct judgment has the problem of inaccurate judgment of vehicle maintenance prompts. Summary of the Invention

[0005] To overcome the deficiencies of the above-mentioned prior art, the present invention provides a vehicle maintenance prompt method and system, which revise the first change values of vehicle filter changes and oil product measurement values based on the vehicle's operating environment and working conditions to obtain second change values; compare the vehicle's filter differential pressure change standard before and after and the oil product standard value with the second change values to obtain the result of whether the vehicle needs a maintenance prompt, improve the accuracy of judgment, and extend the service life of the vehicle.

[0006] To achieve the above object, the first aspect of the present invention provides a vehicle maintenance prompt method, including:

[0007] Obtain the current vehicle's basic information, operating environment, working conditions, and the differential pressure change amount before and after the filter and the oil product measurement value; wherein, the vehicle's basic information includes vehicle type, driving mileage, and driving time;

[0008] Respectively use the obtained differential pressure change amount before and after the filter and the oil product measurement value of the current vehicle as the first change values;

[0009] Revise the first change values based on the obtained operating environment and working conditions of the current vehicle to obtain second change values;

[0010] Determine the standard value of the pressure difference change before and after filtration and the standard value of the oil product for the current vehicle based on the basic information of the current vehicle, compare the standard value of the pressure difference change before and after filtration and the standard value of the oil product with the corresponding second change value respectively, and obtain the result of whether vehicle maintenance is prompted according to the comparison result.

[0011] The second aspect of the present invention provides a vehicle maintenance prompt system, including:

[0012] An acquisition module, configured to acquire the basic information of the current vehicle, the operating environment, the operating conditions, as well as the change amount of the pressure difference before and after filtration and the oil product measurement value; wherein, the basic information of the vehicle includes the vehicle type, the driving mileage, and the driving time.

[0013] A determination module, configured to respectively use the change amount of the pressure difference before and after filtration and the oil product measurement value of the acquired current vehicle as the first change value.

[0014] A revision module, configured to revise the first change value based on the acquired operating environment and operating conditions of the current vehicle to obtain a second change value.

[0015] A maintenance prompt module, configured to determine the standard value of the pressure difference change before and after filtration and the standard value of the oil product for the current vehicle based on the basic information of the current vehicle, compare the standard value of the pressure difference change before and after filtration and the standard value of the oil product with the corresponding second change value respectively, and obtain the result of whether vehicle maintenance is prompted according to the comparison result.

[0016] The third aspect of the present invention provides a computer device, including: a processor, a memory, and a bus, the memory stores machine-readable instructions executable by the processor, when the computer device runs, the processor communicates with the memory through the bus, and when the machine-readable instructions are executed by the processor, a vehicle maintenance prompt method is executed.

[0017] The fourth aspect of the present invention provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is run by a processor, a vehicle maintenance prompt method is executed.

[0018] The above one or more technical solutions have the following beneficial effects:

[0019] In the present invention, the changes in differential pressure before and after filtration and the measured oil product values obtained are respectively used as the first change values. However, due to the different operating environments and conditions of the vehicle, the differential pressure before and after filtration and the measured oil product values are affected to a certain extent. Based on the operating environment and conditions of the vehicle, the first change values are revised to obtain the second change values. By comparing the standard differential pressure change value and the standard oil product value before and after filtration of the current vehicle with the second change values, the result of whether the vehicle needs maintenance reminder is obtained, improving the accuracy of judgment and extending the service life of the vehicle.

[0020] Advantages of additional aspects of the present invention will be given in part in the following description, become apparent in part from the following description, or be learned through the practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The accompanying drawings forming a part of this specification are used to provide a further understanding of the present invention. The schematic embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention.

[0022] Figure 1 Schematic structural diagram of the vehicle maintenance system in Embodiment 1 of the present invention;

[0023] Figure 2 Schematic diagram of the functional modules of the vehicle maintenance system in Embodiment 1 of the present invention;

[0024] Figure 3 Network structure diagram of the vehicle maintenance system in Embodiment 1 of the present invention;

[0025] Figure 4 Flowchart of the vehicle maintenance system in Embodiment 1 of the present invention;

[0026] Figure 5 Schematic diagram of the neural network in Embodiment 1 of the present invention;

[0027] Figure 6 Flowchart of the vehicle maintenance reminder in Embodiment 1 of the present invention;

[0028] In the figure, 1, positioning and wireless network antenna, 2, display screen, 3, status indicator light group, 4, waterproof housing, 5, screw hole positions for fixing the main circuit board, 6, main circuit board, 7, buzzer, 8, screw hole positions, 9, vehicle terminal bottom plate. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0029] It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the present invention. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by those of ordinary skill in the technical field to which the present invention belongs.

[0030] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit the exemplary embodiments according to the present invention.

[0031] In the case of no conflict, the embodiments in the present invention and the features in the embodiments can be combined with each other.

[0032] Embodiment 1

[0033] The vehicle maintenance reminder method in this embodiment is implemented based on a vehicle maintenance reminder system. The vehicle maintenance reminder system will be described in detail below.

[0034] The vehicle maintenance reminder system includes: an on-vehicle information collection device, a remote network center server, a client, a mobile phone APP, etc.

[0035] Among them, the on-vehicle information collection device is installed on the vehicle to be tested, and collects the sensor data and position information of the vehicle and uploads them to the remote network center server; the remote network center server is used to receive, store, analyze, and process the sensor and position information sent by multiple on-vehicle information collection devices. Users can view the information through a computer browser or a mobile phone APP, and vehicle manufacturers can view the operation status information of all factory vehicles through a computer browser.

[0036] The functional modules of the on-vehicle information collection device are as Figure 2 shown, including: a positioning device, a data collection device, a wireless communication device, a battery power supply system, a display screen system, a single-chip microcomputer system, a power management system, etc.

[0037] The positioning device obtains the real-time position data of the vehicle and transmits it to the single-chip microcomputer system. The data collection device obtains the data of each oil sensor, air quality sensor, and differential pressure sensor and transmits it to the single-chip microcomputer system. After the single-chip microcomputer system analyzes and calculates the collected information and obtains the actual operation information of the vehicle, it sends the data to the remote network service center through the wireless communication device; the power management system can cut off the power supply of the positioning device, wireless communication device, each sensor, and display screen under the control of the single-chip microcomputer to save power when the vehicle is not running for a long time; the status light group includes a power signal light, a positioning signal light, a network status signal light, and an error message light, and displays different status information through four different states of the lights - always on, always off, fast flash, and slow flash. The buzzer 7 and the display screen 2 in the display screen system will simultaneously send an alarm message when the vehicle reaches the maintenance condition to remind the driver to replace the worn parts in time.

[0038] Among them, the positioning device includes a positioning and wireless network antenna 1, which can receive both GPS and Beidou positioning information at the same time, obtain the real-time position information of the vehicle, and send it to the single-chip microcomputer system for processing.

[0039] The data acquisition device is a collection of multiple sensors, including oil sensors, differential pressure sensors, air quality sensors, etc. The sensor data collected by the data acquisition device is transmitted to the single-chip microcomputer system in real time. According to the data sent by the sensors, it is judged whether the lubricating oil filter, fuel filter, air conditioner filter or air filter needs to be replaced, and the remaining life is predicted.

[0040] After the data collector collects the signal, it removes the high-frequency electromagnetic interference signal through a filter, and then the AD converter converts the analog signal into a digital signal and sends it to the main control chip (STM32F103C8T6). The main control chip packs the sensor data and sends it to the encryption chip for encryption (using the national cryptography RSA-1024 algorithm). The encrypted data is sent to the 4G module (model: Quectel Air800s) and then uniformly sent to the remote server.

[0041] The single-chip microcomputer system is used to receive and integrate the positioning data and sensor data, encrypt the processed data and send it to the remote network center server.

[0042] The wireless communication device includes a 4G module and a 4G antenna, which is used to realize the data communication between the above vehicle maintenance system and the remote network server, send the real-time data collected by the single-chip microcomputer system to the remote network service center through a specific network protocol, and receive the instructions sent by the remote service center.

[0043] The battery power supply system includes the vehicle's own battery and a power management module, which is used to supply power to the vehicle-mounted information acquisition device. The power consumption of this vehicle-mounted information acquisition device is extremely low, and the battery can meet the stable operation of the device for more than 100 hours. After the vehicle is turned off, the power management module will control the current to make the vehicle information acquisition device enter the sleep state to save power.

[0044] The display system includes a status indicator light group 3, a display screen 2, and an alarm 7. The status indicator light group 3 consists of a power supply signal light, a positioning signal light, a network status signal light, and an error message light, which is used to display the operating status of each functional module of the vehicle-mounted information acquisition device so that the driver can timely grasp the dynamics. The alarm 7 is used to emit an alarm sound to remind or force the driver to stop and check when the vehicle has an abnormal condition.

[0045] It also includes: a waterproof housing 4. The waterproof housing 4 is used to place and protect each component of the vehicle information acquisition device, and adopts a fully enclosed structure to meet the requirements of waterproof, dustproof and anti-corrosion.

[0046] Such as Figure 1As shown in the figure, a main circuit board 6, a buzzer 7 and a status indicator light group 3 are arranged inside the waterproof housing 4. A positioning module (GPS / Beidou positioning module), a 4G wireless Internet module, a single-chip microcomputer system, a power management module and a data acquisition module are arranged on the main circuit board 6. The data acquisition module is connected to an external sensor through a lead wire. The buzzer is installed on the bottom plate inside the waterproof housing 4 and emits an alarm buzzer sound through a small hole on the side plate. The positioning antenna and the 4G antenna are both arranged on the top plate inside the waterproof housing. The pins of the status display light group are directly connected to the main circuit board, and the lamp tubes extend upward to the top plate of the waterproof housing to transmit information outward through transparent holes and grooves. Threaded mounting holes are provided around the bottom plate of the waterproof housing to provide firm mounting. The display screen is connected to the main circuit board through a lead wire, and the lead wire is led out through a waterproof connector on the waterproof housing.

[0047] When installing the vehicle information acquisition device, any position of the vehicle can be selected as long as there is no metal object blocking directly above the waterproof housing. If there is a metal object blocking, it will affect the networking and positioning functions of the device. The device is firmly installed on the vehicle through the 4 screw holes 8 on the bottom plate of the waterproof housing.

[0048] Relevant parameters and settings should be pre-written into the single-chip microcomputer system. Users do not need to perform any settings and operations on the vehicle information acquisition device. After the installer installs the sensor, the display screen and the vehicle terminal, it can be used. For subsequent system firmware updates and upgrades, the staff can directly send the upgrade package to the terminal through the cloud, without the need to go to the site for flashing operations.

[0049] Figure 3 The figure shows the network structure diagram of the vehicle maintenance remote system. The vehicle information acquisition device is connected to the Internet through a 4G module and uploads the collected vehicle data to the network service center through the Internet. Remote receiving software, data processing and analysis software, and database software are set on the network service center server, which can receive, store, analyze and process the data submitted by each vehicle information acquisition system, and push a remote app to the vehicle owners who need maintenance to timely remind the owners to perform maintenance.

[0050] Figure 4 The figure shows the process of the vehicle remote system of this embodiment, including the following steps:

[0051] Step 101: The device is powered on. The device is powered by the battery carried by the vehicle itself and is controlled by the key switch signal together. After the key switch is powered on, the device enters the initialization proximal end. After the device and the sensor self-check are completed, it enters the normal working state.

[0052] Step 102: The device obtains a unique identification number such as a terminal identification number, a license plate number or a vehicle frame number, sensor information, and positioning information. In this example, the terminal identification number is used as the unique identification information, and the terminal is bound to the vehicle in the background database to achieve the function of uniquely identifying the vehicle. The sensor information includes the information of the oil sensor before and after the lubricating oil filter, the air quality information before and after the air conditioning filter, the air quality information before and after the engine air filter, and the fuel quality information and pressure difference information before and after the fuel filter.

[0053] Step 103: Integrate the acquired information and encrypt it using the encryption algorithm of the encryption chip. This embodiment uses the national encryption algorithm. After encryption, send the data to the remote server via the 4G network.

[0054] Step 104: After receiving the information sent by the vehicle terminal, the server parses the data through a decryption algorithm, and after analysis and calculation, stores the data in a database.

[0055] Step 105: By judging whether the decrypted sensor data has any abnormal phenomenon, it is judged whether each filter is invalid. If it works well, no feedback is given.

[0056] Step 106: If the data is abnormal, the remote server sends an alarm message to the vehicle terminal and the mobile phone APP. The mobile phone APP will remind the owner by SMS and APP information push. The vehicle terminal will display on the display screen that a certain wear part of the vehicle has reached the end of its life, and will roughly remind the driver by flashing the alarm indicator light and beeping the buzzer at intervals to attract the driver's attention.

[0057] Step 107: After the alarm is issued, the driver can select a maintenance plan on his own on the mobile phone APP or the display screen of the vehicle terminal.

[0058] Step 108: You can select the option of going for maintenance by yourself on the display screen or mobile phone APP. At this time, the system will automatically select the nearest 4S store based on the positioning information fed back by the vehicle at this time, and push the location to the vehicle terminal display screen and mobile phone APP at the same time. You can also choose to send it directly to the owner's mobile phone by SMS.

[0059] Step 109: If it is inconvenient for the car owner to go for maintenance by himself, he can choose the door-to-door service method. The server calls the vehicle positioning information in the background and sends the car owner's location, needs and contact information to the nearest 4S store, and the 4S store provides door-to-door service.

[0060] The specific content is to analyze the oil filtering quality of the lubricating oil filter through the data returned by the oil product sensor, and at the same time calculate the remaining service life of the lubricating oil filter based on the quality and working time of the filtered lubricating oil. The general lubricating oil replacement cycle of the vehicle is half a year or 5000 kilometers. First, the system will record the time of this lubricating oil replacement, and roughly calculate the remaining time through the time difference and the mileage traveled after replacement. Secondly, the concentration of impurities in the lubricating oil will affect its service time. The difference in the impurity concentration between the new lubricating oil and the replaced lubricating oil is partitioned and corresponding to time respectively. The data in the oil product sensor is transmitted into the system and matched with the partitioned data, then the remaining service life can be obtained. Finally, the cloud makes model corrections based on the long-term operating status of the vehicle and provides an accurate remaining service life. When the critical value is reached, alarm messages are pushed to the vehicle information collection system and the mobile phone APP simultaneously to remind the vehicle owner to perform maintenance in time. By the change of the pressure difference before and after the fuel filter, it is judged whether the filter element of the fuel filter is damaged or blocked, and alarm messages are pushed in time; through the air quality sensor, the service life of the air filter and the air conditioner filter is judged, and an alarm is sent to the driver in time when the service life critical point is reached.

[0061] By recording and analyzing the driving path of the vehicle and combining the information returned by the sensor, it is judged whether the road condition of the vehicle driving is a bad road condition, so as to reasonably extend or shorten the service time of each filter; at the same time, after an accident such as a vehicle breakdown occurs, the driver can directly use the rescue function of the mobile phone APP. After the staff receives the information, they can install the vehicle position data sent by the vehicle information collection terminal finally and navigate to the rescue.

[0062] The staff of the vehicle factory can intuitively observe and manage the detailed operation information of all vehicles installed with the vehicle information collection system, such as the service life of each filter.

[0063] Based on the above architecture, as Figure 6 shown, this embodiment proposes a vehicle maintenance reminder method, including:

[0064] Step 1: Obtain the current vehicle basic information, operating environment, operating conditions, as well as the change amount of the pressure difference before and after filtration and the oil product measurement value; wherein, the vehicle basic information includes vehicle type, driving mileage and driving time;

[0065] Step 2: Respectively use the change amount of the pressure difference before and after filtration and the oil product measurement value of the currently obtained vehicle as the first change value;

[0066] Step 3: Revise the first change value based on the operating environment and operating conditions of the currently obtained vehicle to obtain a second change value;

[0067] Step 4: Determine the standard value of the pressure difference change before and after filtration and the standard value of the oil product for the current vehicle based on the current vehicle basic information, compare the standard value of the pressure difference change before and after filtration and the standard value of the oil product with the corresponding second change value respectively, and obtain the result of whether vehicle maintenance reminder is required according to the comparison result.

[0068] In this embodiment, the pressure before and after the lubricating oil and fuel filters is measured by a pressure sensor, and the pressure difference before and after the filter is calculated. When the pressure difference exceeds the specified value, it indicates that the filter has been severely blocked and needs to be replaced immediately.

[0069] After the vehicle starts running, after the system is powered on, it will first load the total mileage and total running time of the vehicle operation, as well as the running time and mileage after the last maintenance; judge whether the total mileage and total running time of the vehicle operation meet the driving time limit and mileage requirements. If not, an alarm will be directly issued to prompt the vehicle owner. If the requirements are met, according to the standards related to the lubricating oil filter, the system loads its driving mileage and time as the criteria for preliminary judgment. At the same time, the system will download the data of the lubricating oil filter from the cloud.

[0070] In step 2 of this embodiment, the current type, displacement, running time and mileage of the vehicle are obtained. The cloud will classify each vehicle by type and displacement, perform data analysis on the running time and mileage, and use the pressure difference failure standard corresponding to the filter in the database as the judgment basis.

[0071] In step 3 of this embodiment, the specific operating environment (air temperature, humidity, air quality, etc.) and different working conditions (rotation speed, torque, etc.) will affect the change of the pressure difference. Directly using the first change value as the standard for judging failure may lead to the problem of inaccurate judgment of the system maintenance cycle.

[0072] Therefore, in this embodiment, in combination with the specific operating environment and working conditions of the vehicle, the measured data corresponding to the working conditions and environment are transmitted to the cloud, and the working condition influence factor and the environment influence factor are used to correct the first change value based on the working conditions and environment to obtain the second change value.

[0073] Among them, the working condition influence factor and the environment influence factor are calculated by a neural network in the cloud. The working condition influence factor includes the rotation speed coefficient and the torque coefficient; the environment influence factor includes the humidity coefficient and the temperature coefficient.

[0074] Such as Figure 5As shown, specifically, the neural network abstracts the human brain neuron network from the perspective of information processing, establishes a certain simple model, and forms different networks according to different connection methods. Each node of the neural network represents a specific activation function, and a large number of nodes are interconnected. The connection between every two nodes represents a weighted value for the signal passing through this connection, and the output of the network varies according to the connection method of the network, the weight value, and the activation function.

[0075] In Matlab, the feedforwardnet function is used to establish a BP neural network. In Matlab, it is expressed as net = feedforwardnet(N), and the number of hidden layer nodes is determined by 1 ≤ m ≤ 10, where N is the number of hidden layer nodes, r is the number of input layer nodes, c is the number of output layer nodes, and m is a random constant between 0 and 10. After determining the number of hidden layer nodes of the neural network, it is also necessary to determine the weight values, thresholds, and learning rate and other parameters between each layer in order to give the corresponding output data according to the input data. Therefore, a set of sample sets with known target outputs is required. Therefore, the default random values of the function are used as the input weight values and thresholds during training, and the learning rate and other parameters are given by net.trainParam.epochs = 1000, net.trainParam.goal = 1e-3,

[0076] net.trainParam.lr = 0.01. Among them, net.trainParam.epochs is the maximum number of training times, net.trainParam.goal is the training required accuracy, net.trainParam.lr is the learning rate. The input learning samples are used to obtain the output of the neural network; then the error is calculated according to the output value and the target output, and the weight values and thresholds are modified layer by layer through the error in a feedforward manner to reduce the error of the neural network. Secondly, the training of the BP neural network is completed through the formula net.train(net, pt, tt). Among them, both pt and tt are training sets, pt is the experimental data of each input parameter, and tt is each output parameter obtained in the experiment.

[0077] Finally, the coefficient calculation is carried out using the formula ts = sim(net, ptest).

[0078] In this embodiment, when the vehicle is running, the ambient temperature, humidity, air quality, engine speed, torque at the current moment are recorded, as well as the ambient temperature coefficient, humidity coefficient, air quality coefficient, speed coefficient, and torque coefficient at the current moment. The recorded data is divided into training set data and test set data and normalized; the historical data during vehicle operation is used as training set data, and the current data during vehicle operation is used as test set data; the Min-Max method is used for normalization; a BP neural network model is established, and the ambient temperature, humidity, air quality, engine speed, and torque at the current moment are used as the input variables of the BP neural network model, and the ambient temperature coefficient, humidity coefficient, air quality coefficient, speed coefficient, and torque coefficient are used as the output variables of the BP neural network model.

[0079] The ambient temperature, humidity, air quality, engine speed, and torque are used as the input layer of the neural network. Through the connection of nodes, weighted sum and activation function operations are performed on each influencing factor, and finally the ambient temperature coefficient, humidity coefficient, air quality coefficient, speed coefficient, and torque coefficient are obtained. The above influencing factor coefficients are multiplied by the first change value to obtain the second change value.

[0080] In step 3 of this embodiment, the second change value is used as the standard for real-time data judgment and processing. When the second change value exceeds the specified value, it indicates that the filter has become severely clogged and needs to be replaced immediately. The system issues an alarm to remind the vehicle owner to replace it.

[0081] For the regular maintenance of lubricating oil, the viscosity and impurity concentration (dust, worn metal particles, etc.) of the lubricating oil are measured by an oil quality sensor. When the viscosity or impurity concentration exceeds the specified value, it indicates that the lubricating oil is severely contaminated and has a poor lubrication effect on the machinery, and needs to be replaced immediately. After the vehicle starts running, when the system is powered on and initialized, it will first load the total mileage and total running time of the vehicle operation, as well as the running time and running mileage since the last maintenance. It is judged whether the total mileage and total running time of the vehicle operation meet the driving time limit and mileage requirements. If the requirements are met, the system will download the change standard of the lubricating oil quality from the cloud as the specified value for judging the lubricating oil maintenance, and at the same time use the data measured by the oil quality sensor as the first change value for judgment. The change of lubricating oil is also affected by the vehicle operation environment and working condition factors. The ambient temperature coefficient, humidity coefficient, air quality coefficient, speed coefficient, and torque coefficient of the lubricating oil are calculated based on the trained neural network, and the environment and working conditions are corrected based on the first change value to obtain the second change value. The second change value is compared with the specified value. When either the viscosity or the impurity concentration does not meet the standard, it indicates that the lubricating oil needs to be replaced, and the system will issue an alarm.

[0082] The ambient temperature can seriously affect the viscosity of the lubricating oil. When the ambient temperature is low, even if the lubricating oil is newly replaced, the viscosity of the lubricating oil at this time is still relatively large, and a single viscosity evaluation standard cannot be adopted. Therefore, the judgment standard is further subdivided into four temperature ranges: start-up, low load, medium load, and high load. The system records the temperature at which the vehicle is located. Only when the viscosity of the vehicle exceeds the standard corresponding to the temperature, the system will issue an alarm to remind the vehicle owner to replace it.

[0083] Synchronize the operating conditions of the vehicle (such as the operating environment, road conditions, and operating status of the vehicle) to the remote network center server. Based on big data statistical analysis, conduct personalized analysis of the vehicle, correct the prediction model of the vehicle for the above-mentioned operating conditions, and provide more accurate life prediction. For example, for taxis and private cars, the road conditions of taxis are complex, the daily working hours are longer, and they are in a high-load working condition for a long time. Even if the data collected by the sensors of the two are the same, the parts of taxis will wear out faster and the maintenance cycle will be shorter. Therefore, the cloud will correct the prediction model according to the operating status of each vehicle to improve the accuracy of life prediction.

[0084] For the regular maintenance of the air conditioner filter, on the one hand, it is necessary to remove dust particles in the air, and on the other hand, it is necessary to absorb harmful gases such as benzene and aldehydes in the air. Measure the concentrations of formaldehyde and toluene in the air entering the vehicle interior through an air quality sensor. When the concentrations exceed the specified values, the system will alarm to remind the vehicle owner to perform maintenance and replacement. After the vehicle starts running, after the system is powered on and initialized, it will first load the total mileage and total running time of the vehicle operation, as well as the running time and running mileage after the last maintenance. Determine whether the total mileage and total running time of the vehicle operation meet the driving time limit and mileage requirements. If the requirements are met, according to the standard of the air conditioner filter, the system loads its driving mileage and time as the standard for preliminary data judgment. When the data measured by the air quality sensor meets the judgment standard, the data is further compared with the specified value. When the concentration exceeds the specified value, the system will alarm to remind the vehicle owner to perform maintenance and replacement.

[0085] Embodiment 2

[0086] The purpose of this embodiment is to provide a vehicle maintenance reminder system, including:

[0087] An acquisition module, configured to acquire the current vehicle basic information, operating environment, operating conditions, as well as the differential pressure change amount before and after filtration and the oil product measurement value; wherein, the vehicle basic information includes vehicle type, driving mileage, and driving time;

[0088] A determination module, configured to respectively use the differential pressure change amount before and after filtration and the oil product measurement value of the currently acquired vehicle as the first change value;

[0089] A revision module, configured to revise the first change value based on the obtained operating environment and operating conditions of the current vehicle to obtain a second change value;

[0090] A maintenance reminder module, configured to determine a standard value of the pressure difference change before and after filtration and a standard value of the oil product of the current vehicle based on the basic information of the current vehicle, compare the standard value of the pressure difference change before and after filtration and the standard value of the oil product with the corresponding second change value respectively, and obtain a result of whether to give a maintenance reminder for the vehicle according to the comparison result.

[0091] Embodiment III

[0092] The purpose of this embodiment is to provide a computing device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the program, the steps of the above method are implemented.

[0093] Embodiment IV

[0094] The purpose of this embodiment is to provide a computer-readable storage medium.

[0095] A computer-readable storage medium, on which a computer program is stored. When the program is executed by a processor, the steps of the above method are executed.

[0096] The steps involved in the devices in the above Embodiments II, III, and IV correspond to those in Method Embodiment I. For specific implementation manners, reference may be made to the relevant description part of Embodiment I. The term "computer-readable storage medium" should be understood to include a single medium or multiple media including one or more instruction sets; it should also be understood to include any medium that can store, encode, or carry an instruction set for execution by a processor and enable the processor to execute any method in the present invention.

[0097] Those skilled in the art should understand that the above modules or steps of the present invention can be implemented by a general-purpose computer device. Optionally, they can be implemented by program codes executable by a computing device. Thus, they can be stored in a storage device and executed by the computing device, or they can be separately fabricated into individual integrated circuit modules, or multiple modules or steps among them can be fabricated into a single integrated circuit module to implement. The present invention is not limited to any specific combination of hardware and software.

[0098] Although the specific implementation manners of the present invention are described above in conjunction with the accompanying drawings, it is not a limitation to the protection scope of the present invention. Those skilled in the art should understand that, based on the technical solutions of the present invention, various modifications or deformations that can be made by those skilled in the art without creative efforts are still within the protection scope of the present invention.

Claims

1. A vehicle maintenance reminder method, characterized in that, Including: Obtain the basic information of the current vehicle, operating environment, operating conditions, as well as the pressure difference change before and after filtration and the oil quality measurement value; wherein, the basic information of the vehicle includes vehicle type, driving mileage and driving time; Respectively take the pressure difference change before and after filtration and the oil quality measurement value of the currently obtained vehicle as the first change value; After the vehicle starts running and the system is powered on, it will first load the total mileage and total running time of the vehicle's operation, as well as the running time and running mileage after the last maintenance; judge whether the total mileage and total running time of the vehicle's operation meet the driving time limit and mileage requirements. If the requirements are not met, directly issue an alarm to prompt the vehicle owner; if the requirements are met, according to the relevant standards of the lubricating oil filter, the system loads its driving mileage and time as the criteria for preliminary judgment. At the same time, the system will download the data of the lubricating oil filter from the cloud; Revise the first change value based on the obtained operating environment and operating conditions of the current vehicle to obtain a second change value; Analyze the oil filtering quality of the lubricating oil filter through the data returned by the oil quality sensor, and calculate the remaining service life of the lubricating oil filter according to the quality of the filtered lubricating oil and the working time; first, the system will record the time of this lubricating oil change, and roughly calculate the remaining time through the time difference and the mileage traveled after the change. Considering that the impurity concentration in the lubricating oil will affect its service life, the difference in impurity concentration between the new lubricating oil and the replaced lubricating oil is divided into zones and corresponding to time respectively. The data in the oil quality sensor is transmitted into the system and matched with the data in the zones to obtain the remaining service life. Then the cloud makes model corrections based on the long-term operating status of the vehicle to provide an accurate remaining service life; Revise the first change value based on the obtained operating environment and operating conditions of the current vehicle to obtain a second change value. Specifically: input the ambient temperature, air humidity, air quality, rotational speed and torque of the current vehicle into the trained neural network to obtain the corresponding ambient temperature coefficient, air humidity coefficient, air quality coefficient, rotational speed coefficient and torque coefficient; multiply the obtained ambient temperature coefficient, air humidity coefficient, air quality coefficient, rotational speed coefficient and torque coefficient by the first change value to obtain the second change value; Determine the standard value of the pressure difference change before and after filtration and the standard value of the oil quality of the current vehicle based on the basic information of the current vehicle, and compare the standard value of the pressure difference change before and after filtration and the standard value of the oil quality with the corresponding second change value respectively, and obtain the result of whether the vehicle needs a maintenance reminder according to the comparison result; Considering the influence of ambient temperature on the viscosity of the lubricating oil, further subdivide the evaluation criteria into four temperature ranges: start-up, low load, medium load and high load. The system records the temperature at which the vehicle is located. When the viscosity of the vehicle exceeds the standard of the corresponding temperature, the system will issue an alarm to remind the vehicle owner to replace it.

2. The vehicle maintenance prompt method according to claim 1, characterized in that, The operating environment includes ambient temperature, air humidity and air quality; the operating conditions include rotational speed and torque.

3. The vehicle maintenance reminder method according to claim 1, characterized in that, Also including: Obtain the viscosity and impurity concentration of the lubricating oil of the current vehicle. When the viscosity or impurity concentration of the lubricating oil of the current vehicle obtained is greater than the specified value, prompt to replace the lubricating oil.

4. The vehicle maintenance prompt method according to claim 1, wherein It further includes: Judge whether the total driving mileage and driving time of the vehicle meet the driving mileage requirement and driving time limit requirement. If not, prompt that the vehicle needs maintenance.

5. A vehicle maintenance reminder system, characterized in that, It includes: An acquisition module, used to acquire the basic information of the current vehicle, operating environment, operating conditions, as well as the pressure difference change amount before and after filtration and the oil product measurement value; wherein, the basic information of the vehicle includes vehicle type, driving mileage and driving time. A determination module, used to respectively use the pressure difference change amount before and after filtration and the oil product measurement value of the current vehicle obtained as the first change value. After the vehicle starts running, after the system is powered on, it will first load the total mileage and total running time of the vehicle operation, as well as the running time and running mileage after the last maintenance; judge whether the total mileage and total running time of the vehicle operation meet the driving time limit and mileage requirements. If not, directly issue an alarm to prompt the vehicle owner; if the requirements are met, according to the relevant standards of the lubricating oil filter, the system loads its driving mileage and time as the preliminary judgment standard, and at the same time the system will download the data of the lubricating oil filter from the cloud. A revision module, used to revise the first change value based on the obtained operating environment and operating conditions of the current vehicle to obtain a second change value. Revise the first change value based on the obtained operating environment and operating conditions of the current vehicle to obtain a second change value. Specifically, input the ambient temperature, air humidity, air quality, rotational speed and torque of the current vehicle into the trained neural network to obtain the corresponding ambient temperature coefficient, air humidity coefficient, air quality coefficient, rotational speed coefficient and torque coefficient; multiply the obtained ambient temperature coefficient, air humidity coefficient, air quality coefficient, rotational speed coefficient and torque coefficient by the first change value to obtain the second change value. Analyze the oil filtering quality of the lubricating oil filter through the data returned by the oil product sensor, and calculate the remaining service life of the lubricating oil filter according to the quality of the filtered lubricating oil and the working time; first, the system will record the time of this lubricating oil replacement, roughly calculate the remaining time through the time difference and the mileage traveled after replacement, considering that the impurity concentration in the lubricating oil will affect its service life, divide the impurity concentration difference between the new lubricating oil and the replaced lubricating oil into zones and correspond them to time respectively, input the data in the oil product sensor into the system, match it with the zoned data to obtain the remaining service life, and then the cloud makes model correction according to the long-term operating state of the vehicle to provide an accurate remaining service life. A maintenance prompt module, used to determine the standard value of the pressure difference change before and after filtration and the standard value of the oil product of the current vehicle based on the basic information of the current vehicle, compare the standard value of the pressure difference change before and after filtration and the standard value of the oil product with the corresponding second change value respectively, and obtain the result of whether the vehicle needs maintenance prompt according to the comparison result. Considering the influence of ambient temperature on the viscosity of lubricating oil, the evaluation criteria are further subdivided into four temperature ranges: starting, low load, medium load, and high load. The system records the temperature of the vehicle, and only when the viscosity of the vehicle exceeds the standard for the corresponding temperature will the system issue an alarm to remind the vehicle owner to replace it.

6. The vehicle maintenance reminder system according to claim 5, characterized in that, In the acquisition module, the operating environment includes ambient temperature, air humidity, and air quality; the operating conditions include rotational speed and torque.

7. A computer device, characterized in that, It includes: A processor, a memory, and a bus. The memory stores machine-readable instructions executable by the processor. When the computer device runs, the processor communicates with the memory through the bus. When the machine-readable instructions are executed by the processor, it executes a vehicle maintenance reminder method according to any one of claims 1 to 4.

8. A computer-readable storage medium, characterized in that, A computer program is stored on the computer-readable storage medium. When the computer program is run by the processor, it executes a vehicle maintenance reminder method according to any one of claims 1 to 4.

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