Commercial vehicle air filter element service life early warning method, system, equipment and medium

Abstract

The invention discloses a commercial vehicle air filter element service life early warning method, system and equipment and a medium, mainly relates to the technical field of air filter elements, and aims to solve the problems that an existing scheme is large in operation load, air filter residual information of multiple vehicles cannot be uniformly acquired, a reference value is utilized, and the service life of the air filter elements is not influenced. The air quality correction factor is relatively high in cost or the accuracy cannot be ensured. Comprising the following steps: uploading whole vehicle operation state data to a cloud; reading the running state data of the whole vehicle from the cloud by using a hive tool; obtaining an air filter pressure mean value of the air filter pressure values every day, and writing the air filter pressure mean value into a preset database; when the average value of the air filter pressure stored in the preset database exceeds a preset number of days, fitting to obtain a change trend of the average value of the air filter pressure based on the average value of the air filter pressure stored in the preset database; determining the time when the average air filter pressure in the change trend is greater than a preset air filter pressure threshold value, and further determining the remaining time.

Description

Technical Field

[0001] The present application relates to the technical field of air filter life warning, and in particular to a commercial vehicle air filter life warning method, system, equipment and medium. Background Art

[0002] The air filter element (abbreviated as air filter) can filter dust and grit in the air, ensuring that the air entering the engine cylinder is sufficient and clean, which helps to delay the wear of the piston group and cylinder.

[0003] The existing air filter life prediction schemes mainly include: (1) one side of the signal receiving unit is connected to the intake flow pressure sensor through a bus, the other side of the signal receiving unit is connected to one side of the data processing unit through the bus, the other side of the data processing unit is connected to one side of the data display unit through the bus, the human-computer interaction interface is displayed on the data display unit, the intake flow pressure sensor is installed on the air filter and detects the intake flow, intake pressure and intake temperature, and the air filter is installed inside the air filter; (2) the remaining life of the air filter is estimated based on correction factors such as vehicle usage time, external circulation ratio, air quality at the vehicle usage location and usage time of the air purification function.

[0004] However, the prediction model of the above solution (1) runs in the vehicle controller, which has a large computing load and cannot uniformly obtain the remaining air filter information of multiple vehicles. Solution (2) uses the calibrated standard air filter life (such as 5000KM) as a reference value, which is not accurate enough and can only rely on the air filter manufacturer. In addition, the calculation of the air quality correction factor at the vehicle location depends on the outdoor air quality detection equipment or the Internet. The former is more expensive, and the latter cannot guarantee accuracy. Summary of the invention

[0005] In view of the above-mentioned deficiencies in the prior art, the present application provides a commercial vehicle air filter life warning system, method and medium to solve the problems that the existing prediction model runs in the vehicle controller, has a large computing load, and cannot uniformly obtain the remaining air filter information of multiple vehicles; in addition, the calibrated standard air filter life is used as a reference value, which is not accurate enough; and the solution using the calculation of the air quality correction factor is costly or cannot guarantee accuracy.

[0006] In a first aspect, the present application provides a method for early warning of the life of an air filter element of a commercial vehicle, the method comprising: The air filter pressure sensor installed on the commercial vehicle is used to collect the air filter pressure value of the current commercial vehicle air filter element and send the air filter pressure value to the vehicle CAN network; the data acquisition terminal installed on the commercial vehicle is used to connect to the vehicle CAN network to obtain the vehicle operation status data, and then upload the vehicle operation status data to the cloud; the vehicle operation status data at least includes the vehicle identifier, engine speed value, engine torque value, and air filter pressure value; the hive tool is used to read the vehicle operation status data of each vehicle identifier on the day from the cloud; according to the engine speed value and engine torque value, the vehicle operation status data that does not meet the preset requirements is removed, and then the vehicle operation status data that meets the preset requirements on the day is obtained. vehicle operation status data; based on the vehicle operation status data that meets the preset requirements on that day, obtain the average air filter pressure of the air filter pressure value on that day, and write the average air filter pressure into the preset database; obtain the actual number of days of the average air filter pressure stored in the preset database; when the actual number of days exceeds the preset number of days, based on the average air filter pressure stored in the preset database, obtain the change trend of the average air filter pressure by fitting; wherein the change trend is composed of time and the average air filter pressure; determine the estimated number of days in which the average air filter pressure in the change trend is greater than the preset air filter pressure threshold, and then obtain the remaining time by subtracting the actual number of days from the estimated number of days; when the remaining time is less than the preset life threshold, start the preset early warning program.

[0007] Furthermore, the hive tool is used to read the vehicle operation status data of each vehicle identifier on the day from the cloud, including: Get the preset fixed time point, and use the hive tool to read the vehicle operation status data of each vehicle identifier in a 24-hour period from the cloud at a fixed time point every day, as the vehicle operation status data of each vehicle identifier on that day.

[0008] Further, after determining the remaining time, the method further includes: The remaining time is sent to a preset user terminal through the Kafka component; when the remaining time is less than the preset life threshold, the preset warning program is started, and the method also includes: sending an instruction containing the start of the preset warning program to the preset user terminal through the Kafka component.

[0009] Furthermore, according to the engine speed value and the engine torque value, the vehicle operation status data that does not meet the preset requirements is removed, specifically including: Remove vehicle operation status data with missing vehicle identifier, engine speed value, engine torque value or air filter pressure value; remove vehicle operation status data with engine speed value not within the preset speed range and engine torque value not within the preset torque range.

[0010] In a second aspect, the present application provides a commercial vehicle air filter life warning system, the system comprising: The air filter pressure sensor is installed on the commercial vehicle and is used to collect the air filter pressure value of the current commercial vehicle air filter element and send the air filter pressure value to the vehicle CAN network; the data acquisition terminal is installed on the commercial vehicle and connected to the vehicle CAN network, and is used to obtain the vehicle operation status data, and then upload the vehicle operation status data to the cloud; wherein the vehicle operation status data at least includes the vehicle identifier, engine speed value, engine torque value, and air filter pressure value; the reading module is used to use the hive tool to read the vehicle operation status data of each vehicle identifier on the day from the cloud; the acquisition module is used to remove the vehicle operation status data that does not meet the preset requirements according to the engine speed value and the engine torque value, and then obtain the vehicle operation status data that meets the preset requirements on the day. The vehicle operation status data required is obtained; a writing module is used to obtain the average air filter pressure of the air filter pressure value on that day based on the vehicle operation status data that meets the preset requirements on that day, and write the average air filter pressure into the preset database; a time determination module is used to obtain the actual number of days of the average air filter pressure stored in the preset database; when the actual number of days exceeds the preset number of days, based on the average air filter pressure stored in the preset database, the change trend of the average air filter pressure is obtained by fitting; wherein the change trend is composed of time and the average air filter pressure; determine the estimated number of days in the change trend that the average air filter pressure is greater than the preset air filter pressure threshold, and then obtain the remaining time by subtracting the actual number of days from the estimated number of days; when the remaining time is less than the preset life threshold, start the preset early warning program.

[0011] Furthermore, the reading module includes a timing unit, Used to obtain a preset fixed time point, and read the vehicle operation status data of each vehicle identifier in a 24-hour time period from the cloud at a fixed time point every day, as the vehicle operation status data of each vehicle identifier on that day.

[0012] Further, the time determination module includes a kafka component for sending the remaining time to a preset user terminal after determining the remaining time; It is also used to send an instruction containing the start of the preset warning program to a preset user terminal through the Kafka component after starting the preset warning program when the remaining time is less than the preset life threshold.

[0013] Further, the obtaining module comprises a removing unit, Used to remove vehicle operation status data with missing vehicle identifier, engine speed value, engine torque value or air filter pressure value; remove vehicle operation status data with engine speed value not within a preset speed range and engine torque value not within a preset torque range.

[0014] In a third aspect, the present application provides a commercial vehicle air filter life warning device, the device comprising: a processor; and a memory on which executable code is stored, and when the executable code is executed, the processor executes a commercial vehicle air filter life warning method such as any one of the above.

[0015] In a fourth aspect, the present application provides a non-volatile computer storage medium having computer instructions stored thereon, which when executed implement a commercial vehicle air filter life warning method such as any of the above items.

[0016] Those skilled in the art can understand that the present application has at least the following beneficial effects: After collecting the whole vehicle operation status data, the present application uploads the whole vehicle operation status data to the cloud; thus, the whole vehicle operation status data can be obtained through the cloud; thus, the existing solution prediction model runs in the vehicle controller, the computing load is large, and the air filter remaining information of multiple vehicles cannot be uniformly obtained. In addition, based on the air filter pressure mean value stored in the preset database, the present application fits the change trend of the air filter pressure mean value, and then determines the remaining time, thereby realizing the determination of the remaining time, and avoiding the problem that the other solutions that use the calibrated air filter standard life as a reference value are not accurate enough, and the solutions that use the calculation of the air quality correction factor are costly or cannot guarantee accuracy.

[0017] In addition, the installed hive tool is used to read the vehicle operation status data of each vehicle identifier on the day from the cloud to avoid repeated acquisition and calculation of historical data, improve computing efficiency, and save computing resources.

[0018] In addition, through the installed Kafka component, the remaining life (remaining time) and warning information (instructions of the preset warning program) are sent to the preset user terminal. The push process involved in this application is separated from the vehicle, which can not only push the remaining life and warning information of the air filter to the driver, but also facilitate the administrator to collect statistics. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Some embodiments of the present disclosure are described below with reference to the accompanying drawings, in which: Figure 1 It is a flow chart of a commercial vehicle air filter life warning method provided in an embodiment of the present application.

[0020] Figure 2 It is a schematic diagram of the internal structure of a commercial vehicle air filter life warning system provided in an embodiment of the present application.

[0021] Figure 3 It is a schematic diagram of the internal structure of a commercial vehicle air filter life warning device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0022] It should be understood by those skilled in the art that the embodiments described below are only preferred embodiments of the present disclosure, and do not mean that the present disclosure can only be implemented through the preferred embodiments. The preferred embodiments are only used to explain the technical principles of the present disclosure, and are not used to limit the protection scope of the present disclosure. Based on the preferred embodiments provided by the present disclosure, all other embodiments obtained by ordinary technicians in this field without creative work should still fall within the protection scope of the present disclosure.

[0023] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0024] The technical solution proposed in the embodiments of the present application is described in detail below with reference to the accompanying drawings.

[0025] The present application embodiment provides a commercial vehicle air filter life warning method, such as Figure 1 As shown, the method provided in the embodiment of the present application mainly includes the following steps: Step 110: The air filter pressure sensor installed on the commercial vehicle collects the air filter pressure value of the current commercial vehicle air filter element and sends the air filter pressure value to the vehicle CAN network.

[0026] It should be noted that the air filter pressure value is transmitted to the vehicle CAN network, which can be specifically: the air filter pressure sensor is installed on the commercial vehicle, and the air filter pressure value is forwarded to the vehicle CAN network through the vehicle gateway.

[0027] Step 120: Connect the vehicle CAN network through the data acquisition terminal installed on the commercial vehicle to obtain the vehicle operation status data, and then upload the vehicle operation status data to the cloud.

[0028] It should be noted that the vehicle operation status data at least includes a vehicle identifier, an engine speed value, an engine torque value, and an air filter pressure value.

[0029] Step 130: Use the hive tool to read the vehicle operation status data of each vehicle identifier on the day from the cloud.

[0030] It should be noted that the hive tool can be set up in the server where the cloud is located.

[0031] Among them, the hive tool is used to read the vehicle operation status data of each vehicle identifier on the day from the cloud, which can be specifically: Get the preset fixed time point, and use the hive tool to read the vehicle operation status data of each vehicle identifier in a 24-hour period from the cloud at a fixed time point every day, as the vehicle operation status data of each vehicle identifier on that day.

[0032] It should be noted that the preset fixed time point can be 23:59, or any feasible time.

[0033] Step 140: According to the engine speed value and the engine torque value, the vehicle operation status data that does not meet the preset requirements is removed, and then the vehicle operation status data that meets the preset requirements for the day is obtained.

[0034] This step can be specifically as follows: Remove vehicle operation status data with missing vehicle identifier, engine speed value, engine torque value or air filter pressure value; remove vehicle operation status data with engine speed value not within the preset speed range and engine torque value not within the preset torque range.

[0035] Step 150: Based on the vehicle operation status data that meets the preset requirements on the day, the average air filter pressure of the air filter pressure value on the day is obtained, and the average air filter pressure is written into the preset database.

[0036] Step 160, obtaining the actual number of days of the average air filter pressure stored in the preset database; when the actual number of days exceeds the preset number of days, fitting the change trend of the average air filter pressure based on the average air filter pressure stored in the preset database.

[0037] It should be noted that the change trend is composed of time and the mean value of the air filter pressure. In addition, fitting to obtain the change trend of the mean value of the air filter pressure is an existing solution, for example, using time series analysis methods such as ARIMA, exponential smoothing, etc. to fit the change trend of the mean value of the air filter pressure. The preset number of days can be 30 days.

[0038] Step 170: determine the estimated number of days in which the average air filter pressure in the change trend is greater than the preset air filter pressure threshold, and then obtain the remaining time by subtracting the actual number of days from the estimated number of days; when the remaining time is less than the preset life threshold, start the preset warning program.

[0039] Additionally, after determining the remaining time, the method may further include: The remaining time is sent to the preset user terminal through the Kafka component.

[0040] When the remaining time is less than the preset life threshold, after starting the preset warning program, the method may further include: Through the Kafka component, an instruction containing the start of the preset early warning program is sent to the preset user terminal.

[0041] It should be noted that the preset early warning program may be an existing early warning program.

[0042] besides, Figure 2 The present invention provides a commercial vehicle air filter life warning system. Figure 2 As shown, the system provided in the embodiment of the present application mainly includes: The air filter pressure sensor 210 is installed on the commercial vehicle and is used to collect the air filter pressure value of the current commercial vehicle air filter element and send the air filter pressure value to the vehicle CAN network.

[0043] The data acquisition terminal 220 is installed on a commercial vehicle and connected to the CAN network of the whole vehicle, and is used to obtain the running status data of the whole vehicle, and then upload the running status data of the whole vehicle to the cloud.

[0044] Among them, the vehicle operation status data at least includes a vehicle identifier, an engine speed value, an engine torque value, and an air filter pressure value.

[0045] The reading module 230 is used to read the vehicle operation status data of each vehicle identifier on the day from the cloud using the hive tool.

[0046] The reading module 230 includes a timing unit for obtaining a preset fixed time point, and reading the vehicle operation status data of each vehicle identifier in a 24-hour time period from the cloud at a fixed time point every day as the vehicle operation status data of each vehicle identifier on that day.

[0047] The acquisition module 240 is used to remove the vehicle operation status data that does not meet the preset requirements based on the engine speed value and the engine torque value, and then obtain the vehicle operation status data that meets the preset requirements on the day.

[0048] The acquisition module 240 includes a removal unit for removing vehicle operation status data in which a vehicle identifier, engine speed value, engine torque value or air filter pressure value is missing; and removing vehicle operation status data in which the engine speed value is not within a preset speed range and the engine torque value is not within a preset torque range.

[0049] The writing module 250 is used to obtain the average air filter pressure value of the day based on the vehicle operation status data that meets the preset requirements on the day, and write the average air filter pressure value into the preset database.

[0050] The time determination module 260 is used to obtain the actual number of days of the average air filter pressure stored in the preset database; when the actual number of days exceeds the preset number of days, based on the average air filter pressure stored in the preset database, the change trend of the average air filter pressure is obtained by fitting; wherein the change trend is composed of time and the average air filter pressure; determine the estimated number of days in which the average air filter pressure in the change trend is greater than the preset air filter pressure threshold, and then obtain the remaining time by subtracting the actual number of days from the estimated number of days; when the remaining time is less than the preset life threshold, start the preset early warning program.

[0051] The time determination module 260 includes a Kafka component, which is used to send the remaining time to a preset user terminal after determining the remaining time; it is also used to send an instruction containing the start of the preset early warning program to the preset user terminal through the Kafka component after starting the preset early warning program when the remaining time is less than a preset life threshold.

[0052] The above is a method embodiment of the present application. Based on the same inventive concept, the present application embodiment also provides a commercial vehicle air filter life warning device. Figure 3 As shown, the device includes: a processor; and a memory, on which executable code is stored. When the executable code is executed, the processor executes a commercial vehicle air filter life warning method as described in the above embodiment.

[0053] Specifically, the server collects the air filter pressure value of the current commercial vehicle air filter element through the air filter pressure sensor installed on the commercial vehicle and transmits the air filter pressure value to the vehicle CAN network; connects to the vehicle CAN network through the data acquisition terminal installed on the commercial vehicle to obtain the vehicle operation status data, and then uploads the vehicle operation status data to the cloud; the vehicle operation status data at least includes the vehicle identifier, engine speed value, engine torque value, and air filter pressure value; uses the hive tool to read the vehicle operation status data of each vehicle identifier on the day from the cloud; according to the engine speed value and engine torque value, removes the vehicle operation status data that does not meet the preset requirements, and then obtains the vehicle operation status data that meets the requirements on the day. The vehicle operation status data that meets the preset requirements; based on the vehicle operation status data that meets the preset requirements on that day, the average air filter pressure of the air filter pressure value on that day is obtained, and the average air filter pressure is written into the preset database; when the actual number of days of the average air filter pressure stored in the preset database; when the actual number of days exceeds the preset number of days, based on the average air filter pressure stored in the preset database, the change trend of the average air filter pressure is obtained by fitting; wherein the change trend is composed of time and the average air filter pressure; determine the estimated number of days in which the average air filter pressure in the change trend is greater than the preset air filter pressure threshold, and then obtain the remaining time by subtracting the actual number of days from the estimated number of days; when the remaining time is less than the preset life threshold, start the preset early warning program.

[0054] In addition, an embodiment of the present application further provides a non-volatile computer storage medium on which executable instructions are stored. When the executable instructions are executed, a commercial vehicle air filter life warning method as described above is implemented.

[0055] So far, the technical solutions of the present disclosure have been described in combination with the above multiple embodiments, but it is easy for those skilled in the art to understand that the protection scope of the present disclosure is not limited to these specific embodiments. Without departing from the technical principles of the present disclosure, those skilled in the art can split and combine the technical solutions in the above-mentioned various embodiments, and can also make equivalent changes or replacements to the relevant technical features. Any changes, equivalent replacements, improvements, etc. made within the technical concept and / or technical principle of the present disclosure will fall within the protection scope of the present disclosure.

Claims

1. A commercial vehicle air filter life warning method, characterized in that: The method comprises: The air filter pressure sensor installed on the commercial vehicle collects the current air filter pressure value of the commercial vehicle air filter and sends the air filter pressure value to the vehicle CAN network; The data acquisition terminal installed on the commercial vehicle is connected to the vehicle CAN network to obtain the vehicle operation status data, and then upload the vehicle operation status data to the cloud; wherein the vehicle operation status data at least includes the vehicle identifier, engine speed value, engine torque value, and air filter pressure value; Use the hive tool to read the vehicle operation status data of each vehicle identifier on the day from the cloud; According to the engine speed value and the engine torque value, the vehicle operation status data that does not meet the preset requirements is removed, and then the vehicle operation status data that meets the preset requirements on the day is obtained; Based on the vehicle operation status data that meets the preset requirements on that day, the average air filter pressure of the air filter pressure value on that day is obtained, and the average air filter pressure is written into the preset database; The actual number of days of the mean air filter pressure stored in the preset database is obtained; when the actual number of days exceeds the preset number of days, the change trend of the mean air filter pressure is obtained by fitting based on the mean air filter pressure stored in the preset database; wherein the change trend is composed of time and the mean air filter pressure; Determine the estimated number of days in which the average air filter pressure in the changing trend is greater than the preset air filter pressure threshold, and then obtain the remaining time by subtracting the actual number of days from the estimated number of days; when the remaining time is less than the preset life threshold, start the preset early warning program.

2. The commercial vehicle air filter life warning method according to claim 1, characterized in that: Use the hive tool to read the vehicle operation status data of each vehicle identifier on the day from the cloud, including: Get the preset fixed time point, and use the hive tool to read the vehicle operation status data of each vehicle identifier in a 24-hour period from the cloud at a fixed time point every day, as the vehicle operation status data of each vehicle identifier on that day.

3. The commercial vehicle air filter life warning method according to claim 1, characterized in that: After determining the remaining time, the method further includes: Send the remaining time to the preset user terminal through the Kafka component; When the remaining time is less than the preset life threshold, after starting the preset warning program, the method further includes: Through the Kafka component, an instruction containing the start of the preset early warning program is sent to the preset user terminal.

4. The commercial vehicle air filter life warning method according to claim 1, characterized in that: According to the engine speed value and engine torque value, remove the vehicle operation status data that does not meet the preset requirements, including: Remove vehicle operation status data that is missing vehicle identifier, engine speed value, engine torque value or air filter pressure value; The vehicle operation status data whose engine speed value is not within the preset speed range and whose engine torque value is not within the preset torque range are removed.

5. A commercial vehicle air filter life warning system, characterized in that: The system comprises: The air filter pressure sensor is installed on commercial vehicles to collect the air filter pressure value of the current commercial vehicle air filter element and send the air filter pressure value to the vehicle CAN network; The data acquisition terminal is installed on the commercial vehicle and connected to the vehicle CAN network, and is used to obtain the vehicle operation status data, and then upload the vehicle operation status data to the cloud; wherein the vehicle operation status data at least includes a vehicle identifier, an engine speed value, an engine torque value, and an air filter pressure value; The reading module is used to use the hive tool to read the vehicle operation status data of each vehicle identifier on the day from the cloud; An acquisition module is used to remove vehicle operation status data that does not meet the preset requirements according to the engine speed value and the engine torque value, and then obtain vehicle operation status data that meets the preset requirements on the day; A writing module is used to obtain the average air filter pressure value of the air filter pressure value on the day based on the vehicle operation status data that meets the preset requirements on the day, and write the average air filter pressure value into a preset database; A time determination module is used to obtain the actual number of days of the average air filter pressure stored in a preset database; when the actual number of days exceeds the preset number of days, based on the average air filter pressure stored in the preset database, a change trend of the average air filter pressure is obtained by fitting; wherein the change trend is composed of time and the average air filter pressure; determine the estimated number of days in the change trend when the average air filter pressure is greater than a preset air filter pressure threshold, and then obtain the remaining time by subtracting the actual number of days from the estimated number of days; when the remaining time is less than the preset life threshold, start the preset early warning program.

6. The commercial vehicle air filter life warning system according to claim 5, characterized in that: The reading module includes a timing unit, Used to obtain a preset fixed time point, and read the vehicle operation status data of each vehicle identifier in a 24-hour time period from the cloud at a fixed time point every day, as the vehicle operation status data of each vehicle identifier on that day.

7. The commercial vehicle air filter life warning system according to claim 5, characterized in that: The time determination module includes a kafka component, which is used to send the remaining time to a preset user terminal after determining the remaining time; It is also used to send an instruction containing the start of the preset warning program to a preset user terminal through the Kafka component after starting the preset warning program when the remaining time is less than the preset life threshold.

8. The commercial vehicle air filter life warning system according to claim 5, characterized in that: The acquisition module includes a removal unit, Used to remove vehicle operation status data with missing vehicle identifier, engine speed value, engine torque value or air filter pressure value; The vehicle operation status data whose engine speed value is not within the preset speed range and whose engine torque value is not within the preset torque range are removed.

9. A commercial vehicle air filter life warning device, characterized in that: The device comprises: processor; and a memory having executable code stored thereon, wherein when the executable code is executed, the processor executes a commercial vehicle air filter life warning method as described in any one of claims 1-4.

10. A non-volatile computer storage medium, characterized in that: Computer instructions are stored thereon, and when the computer instructions are executed, a commercial vehicle air filter element life warning method as described in any one of claims 1-4 is implemented.

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