A real-time monitoring device and method for the service life of an automobile filter

Abstract

The present invention discloses a real-time monitoring device for the service life of an automobile filter and a monitoring method thereof, comprising: an air filter, a filter element unit, a filter unit and a data terminal, wherein the filter element unit is connected to the inside of the air filter, the filter unit is fixed on the top shell of the air filter, and the data terminal is connected to the filter unit. The filter unit comprises: a vehicle unit, a pressure sensing system, a sealing installation structure, a data transmission interface, a fastening screw and a filter element unit contact pin. Compared with the traditional technology, the present invention has an anti-counterfeiting detection function; can read vehicle information and obtain data conveniently and accurately; through a new algorithm, a more accurate service life prediction can be obtained; and has a real-time feedback function to ensure timely reminders for replacement.

Description

Technical Field

[0001] The invention relates to a service life monitoring device, in particular to a real-time monitoring device for the service life of an automobile filter and a monitoring method thereof. Background Art

[0002] The function of automobile filters is to separate impurities in gas or oil to extend the service life of the protected mechanical unit or protect the health of drivers and passengers. They include engine air filters, oil filters, fuel filters, transmission oil filters, air conditioning filters, carbon canister filters, crankcase oil-gas separators, etc.

[0003] The vehicle maintenance cycle is usually based on the mileage recommended by the OEM and repair shop to replace the vehicle filter and oil. Due to the vehicle's use environment and the owner's usage habits, the actual maintenance cycle of the vehicle is often inconsistent with the OEM's recommended cycle. For example, the road conditions and environmental conditions in eastern and southern China are better than those in western and northern China. The same vehicle may have the same degree of blockage in the air filter element after driving 5,000 kilometers in Hebei and 20,000 kilometers in Hainan. Therefore, the maintenance cycle recommended by the OEM may cause the vehicle filter to be overused or the filter to be scrapped prematurely, increasing environmental pollution.

[0004] By the end of 2017, China had 310 million motor vehicles, including 217 million cars. However, relatively few vehicles used sensor technology to monitor the service life of filters. If the service life of filters can be maximized by simply modifying the vehicles, it will effectively reduce the waste of funds and consumables pollution caused by improper maintenance of cars. On the other hand, the R&D department or environmental protection department of the OEM cannot formulate appropriate standards and regulations due to the lack of environmental data input.

[0005] To solve the above problems, we made a series of improvements. Summary of the invention

[0006] The purpose of the present invention is to provide a real-time monitoring device and a monitoring method for the service life of an automobile filter, so as to overcome the above-mentioned shortcomings and deficiencies existing in the prior art.

[0007] A real-time monitoring device for the service life of an automobile filter comprises: an air filter, a filter element unit, a filter unit and a data terminal, wherein the filter element unit is connected to the inside of the air filter, the filter unit is fixed on the top shell of the air filter, and the data terminal is connected to the filter unit;

[0008] Wherein, the filter unit includes: a vehicle unit, a pressure sensing system, a sealing mounting structure, a data transmission interface, a fastening screw and a filter element unit contact pin. The vehicle unit is connected to the filter upper shell through the fastening screws, the pressure sensing system and the filter element unit contact pin are arranged in the mounting hole of the vehicle unit, and the mounting hole is connected to the filter upper shell through the sealing mounting structure. The data transmission interface is arranged on one side of the vehicle unit, and the data transmission interface is connected to the data terminal through a data line. The filter element unit contact pin is connected to the filter element unit.

[0009] Furthermore, the air filter includes: an intake pipe, an upper filter shell, a lower filter shell, a filter element and an outlet pipe, the upper filter shell is connected to the lower filter shell, the intake pipe is connected to the lower filter shell, the filter element is connected to the middle of the upper filter shell and the lower filter shell, the filter element is provided with a grid frame, and the outlet pipe is connected to the upper filter shell.

[0010] Furthermore, the filter element unit comprises: a cover plate, a storage chip and a filter element contact pin, the cover plate is embeddedly connected to the corner of the grid frame, the storage chip is connected to the upper part of the cover plate, and the filter element contact pin is connected to the filter element unit contact pin.

[0011] Furthermore, the storage chip is an E2PROM chip or an RFID electronic tag.

[0012] Furthermore, the vehicle unit includes: a storage power supply, an I2C interface, an embedded controller, a wireless transmission unit, an analog-to-digital converter, a transmission power supply and a clock crystal oscillator, the storage power supply is connected to the IC interface and the storage chip, the IC interface is arranged on the embedded controller, the embedded controller is connected to the wireless transmission unit and the analog-to-digital converter, the wireless transmission unit is connected to the transmission power supply, the wireless transmission unit is wirelessly connected to the data terminal, and the analog-to-digital converter is connected to the clock crystal oscillator.

[0013] Furthermore, the pressure sensing system includes: a pressure sensor, a pressure output signal line, an acquisition and analysis unit and an ADC analog-to-digital conversion unit, the pressure sensor is connected to the ADC analog-to-digital conversion unit through the pressure output signal line, the ADC analog-to-digital conversion unit is connected to the acquisition and analysis unit, the output end of the acquisition and analysis unit is connected to the analog-to-digital converter, and the input end of the acquisition and analysis unit is connected to the storage chip.

[0014] Furthermore, the data terminal includes: a mobile phone, a tablet, a laptop computer or other mobile terminals.

[0015] A monitoring method of a real-time monitoring device for the service life of an automobile filter, comprising:

[0016] Step 1: Set the initial filter pressure value, initial filter resistance and dx coefficient, set the initial filter air flow rate to V0, set the air density to ρ, and calculate the initial filter pressure value P1 by formula 1, where formula 1:

[0017]

[0018] Set the initial filter element resistance to P0 and the standard atmospheric pressure to Pa, and calculate the initial filter element resistance P0 using Formula 2, where Formula 2:

[0019] P0=Pa-P1;

[0020] Step 2: Data capture, read the pressure data of the filter element from the storage chip through the pressure sensor, transmit the pressure data to the ADC analog-to-digital conversion unit through the pressure output signal line, and the ADC analog-to-digital conversion unit converts the data and sends it to the acquisition and analysis unit for analysis;

[0021] Step 3: Data transmission: After the data is analyzed by the acquisition and analysis unit, it is transmitted to the analog-to-digital converter, and then the analog-to-digital converter transmits it to the wireless transmission unit, which then sends it to the data terminal, and the data terminal performs processing operations;

[0022] Step 4: Data processing, through the filter-related values ​​obtained during driving, set the air flow rate of the driving filter element to Vx, set the air density to ρ, and calculate the filter element driving pressure value P2 by formula 3, where formula 3:

[0023]

[0024] Finally, set the dust capacity to DHC, set the mileage to x, and calculate the dust capacity DHC of the car after driving x distance using Formula 4, where Formula 4:

[0025]

[0026] Step 5: Data feedback. After the calculation is completed, the data terminal is uploaded to the big data platform. By comparing the calculated data of the dust capacity DHC with the set value, the service life of the filter element and the time when it needs to be replaced can be more accurately estimated, and a warning of reaching a dangerous value can be provided.

[0027] Furthermore, the source of the dx coefficient of Formula 4 is the inherent coefficient of the vehicle type, and the calculation formula of the dx coefficient is: filter system resistance / calculated dynamic pressure resistance, where the filter system resistance is obtained by laboratory testing of automobile components, pipelines and other parts, and the calculated dynamic pressure resistance is:

[0028]

[0029] Furthermore, during the data capture process in step 2, the filter element unit contacts can be connected to the filter element contacts to read the information of the storage chip. The storage chip is an identity identifier of a filter element, which can be used for anti-counterfeiting and to provide the vehicle model to the data platform. The vehicle model includes information such as vehicle model, engine displacement, whether it is turbocharged, fuel type, etc. in the corresponding database. Each piece of vehicle information corresponds to different filter usage conditions and characteristics when the filter life is reached, and then the corresponding reference data is provided when performing the formula calculation in step 5.

[0030] Beneficial effects of the present invention:

[0031] Through the storage chip and the information exchange with the vehicle unit, the vehicle information can be read, and the data can be obtained conveniently and accurately. At the same time, the information of the filter element can be read, solving the problem of filter element anti-counterfeiting.

[0032] The new algorithm solves the traditional rough algorithm of calculating the service life of the filter element based on time and travel distance. By calculating the dust capacity of the filter element, the filtering effect of the filter element can be inferred, and finally a more accurate prediction of the service life of the filter element can be obtained.

[0033] Through the built-in electronic system, the data inside the filter element is transmitted to the data platform in real time, and the feedback and processing of the data platform ensure timely reminders for replacement. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 It is a schematic diagram of the structure of the present invention.

[0035] Figure 2 It is a schematic structural diagram of the filter unit of the present invention.

[0036] Figure 3 It is a structural schematic diagram of the filter element unit of the present invention.

[0037] Figure 4 This is a schematic diagram of the principles of pressure, mileage and ash holding capacity.

[0038] Figure 5 Schematic diagram of the pressure sensing system of the present invention.

[0039] Figure 6 It is a schematic diagram of a vehicle unit of the present invention.

[0040] Reference numerals:

[0041] The air filter 100 , the air inlet pipe 110 , the filter upper shell 120 , the filter lower shell 130 , the filter element 140 , the grid frame 141 and the air outlet pipe 150 .

[0042] The filter element unit 200 , the cover plate 210 , the storage chip 220 and the filter element contact pin 230 .

[0043] The filter unit 300 , the vehicle unit 310 , the storage power supply 311 , the I2C interface 312 , the embedded controller 313 , the wireless transmission unit 314 , the analog-to-digital converter 315 , the transmission power supply 316 and the clock crystal oscillator 317 .

[0044] Pressure sensing system 320 , pressure sensor 321 , pressure output signal line 322 , acquisition and analysis unit 323 and ADC analog-to-digital conversion unit 324 .

[0045] The sealing installation structure 330 , the data transmission interface 340 , the fastening screws 350 , the filter element unit contact pins 360 , the installation holes 370 and the data terminal 400 . DETAILED DESCRIPTION

[0046] The present invention is further described below in conjunction with specific embodiments. It should be understood that the following embodiments are only used to illustrate the present invention and are not used to limit the scope of the present invention.

[0047] Example 1

[0048] like Figure 1 , Figure 2 , Figure 3 As shown, a real-time monitoring device for the service life of an automobile filter includes: an air filter 100, a filter element unit 200, a filter unit 300 and a data terminal 400, the filter element unit 200 is connected to the inside of the air filter 100, the filter unit 300 is fixed on the top outer shell of the air filter 100, and the data terminal 400 is connected to the filter unit 300.

[0049] Among them, the filter unit 300 includes: a vehicle unit 310, a pressure sensing system 320, a sealing mounting structure 330, a data transmission interface 340, a fastening screw 350 and a filter element unit contact pin 360. The vehicle unit 310 is connected to the filter upper shell 120 through the fastening screw 350. The pressure sensing system 320 and the filter element unit contact pin 360 are arranged in the mounting hole 370 of the vehicle unit 310. The mounting hole 370 is connected to the filter upper shell 120 through the sealing mounting structure 330. The data transmission interface 340 is arranged on one side of the vehicle unit 310. The data transmission interface 340 is connected to the data terminal 400 through a data line. The filter element unit contact pin 360 is connected to the filter element unit 200.

[0050] The air filter 100 includes: an intake pipe 110, an upper filter shell 120, a lower filter shell 130, a filter element 140 and an outlet pipe 150. The upper filter shell 120 is connected to the lower filter shell 130, the intake pipe 110 is connected to the lower filter shell 130, the filter element 140 is connected to the middle of the upper filter shell 120 and the lower filter shell 130, a grid frame 141 is provided on the filter element 140, and the outlet pipe 150 is connected to the upper filter shell 120.

[0051] The filter element unit 200 includes: a cover plate 210, a storage chip 220 and a filter element contact pin 230. The cover plate 210 is embedded and connected to the corner of the grid frame 141, the storage chip 220 is connected to the upper part of the cover plate 210, and the filter element contact pin 230 is connected to the filter element unit contact pin 360.

[0052] The storage chip 220 is an E2PROM chip or an RFID electronic tag.

[0053] like Figure 6 As shown, the vehicle unit 310 includes: a storage power supply 311, an I2C interface 312, an embedded controller 313, a wireless transmission unit 314, an analog-to-digital converter 315, a transmission power supply 316 and a clock crystal oscillator 317. The storage power supply 311 is connected to the I2C interface 312 and the storage chip 220. The I2C interface 312 is arranged on the embedded controller 313. The embedded controller 313 is connected to the wireless transmission unit 314 and the analog-to-digital converter 315. The wireless transmission unit 314 is connected to the transmission power supply 316. The wireless transmission unit 314 is wirelessly connected to the data terminal 400. The analog-to-digital converter 315 is connected to the clock crystal oscillator 317.

[0054] like Figure 5 As shown, the pressure sensing system 320 includes: a pressure sensor 321, a pressure output signal line 322, an acquisition and analysis unit 323 and an ADC analog-to-digital conversion unit 324. The pressure sensor 321 is connected to the ADC analog-to-digital conversion unit 324 via the pressure output signal line 322, the ADC analog-to-digital conversion unit 324 is connected to the acquisition and analysis unit 323, the output end of the acquisition and analysis unit 323 is connected to the analog-to-digital converter 315, and the input end of the acquisition and analysis unit 323 is connected to the storage chip 220.

[0055] The data terminal 400 includes: a mobile phone, a tablet, a laptop computer or other mobile terminals.

[0056] A monitoring method of a real-time monitoring device for the service life of an automobile filter, comprising:

[0057] Step 1: Set the initial filter pressure value, initial filter resistance and dx coefficient, set the initial filter air flow rate to V0, set the air density to ρ, and calculate the initial filter pressure value P1 by formula 1, where formula 1:

[0058]

[0059] Set the initial filter element resistance to P0 and the standard atmospheric pressure to Pa, and calculate the initial filter element resistance P0 using Formula 2, where Formula 2:

[0060] P0=Pa-P1;

[0061] Step 2: Data capture, reading the pressure data of the filter element 140 from the storage chip 220 through the pressure sensor 321, transmitting the pressure data to the ADC analog-to-digital conversion unit 324 through the pressure output signal line 322, and the ADC analog-to-digital conversion unit 324 converts the data and sends it to the acquisition and analysis unit 323 for analysis;

[0062] Step 3: Data transmission: After the data is analyzed by the acquisition and analysis unit 323, it is transmitted to the analog-to-digital converter 315, and then the analog-to-digital converter 315 transmits it to the wireless transmission unit 314, and the wireless transmission unit 314 sends it to the data terminal 400, and the data terminal 400 performs processing operations;

[0063] Step 4: Data processing, through the filter-related values ​​obtained during driving, set the air flow rate of the driving filter element to Vx, set the air density to ρ, and calculate the filter element driving pressure value P2 by formula 3, where formula 3:

[0064]

[0065] Finally, set the dust capacity to DHC, set the mileage to x, and calculate the dust capacity DHC of the car after driving x distance using Formula 4, where Formula 4:

[0066]

[0067] Step 5: Data feedback, after the calculation is completed, the data terminal 400) is uploaded to the big data platform. By comparing the calculated data of the dust capacity DHC with the set value, the service life of the filter element and the time when it needs to be replaced can be more accurately estimated, and a warning of reaching a dangerous value can be provided.

[0068] The source of the dx coefficient in formula 4 is the inherent coefficient of the vehicle type. The calculation formula of the dx coefficient is: filter system resistance / calculated dynamic pressure resistance, where the filter system resistance is obtained by laboratory testing of automobile components, pipelines and other parts, and the calculated dynamic pressure resistance is:

[0069]

[0070] During the data capture process in step 2, the filter element unit contact 360 can be connected to the filter element contact 230 to read the information of the storage chip 220. The storage chip 220 is an identity identifier of the filter element, which can be used for anti-counterfeiting and provide the vehicle model to the data platform. The vehicle model has information such as vehicle model, engine displacement, whether it is turbocharged, fuel type, etc. in the corresponding database. Each vehicle information corresponds to different filter usage conditions and characteristics when the life is reached, and then provides corresponding reference data when performing formula calculations in step 5.

[0071] The technical feature of the present invention is that it uses a new algorithm to make a new evaluation standard for the service life of the filter element. This standard is based on the actual situation and vehicle model, and is more scientific than the traditional estimated value. The existing tracking service life monitoring is also based on other parameters such as mileage, and there are also error problems. In terms of hardware, in order to meet the needs of the new algorithm, the data capture system has been innovated.

[0072] The final algorithm of the present invention is:

[0073]

[0074] Among them, DHC represents the dust capacity in the filter element. The core of this algorithm is to determine the effectiveness of the filter element by calculating the dust capacity, and then reversely infer its service life.

[0075] Specifically, the service life of the filter element is judged based on the degree of dust blockage. The more dust there is, the higher the degree of blockage. When the amount of dust reaches a certain value, the degree of filter blockage may cause a rapid increase in fuel consumption. The weight of dust at this time is called the dust capacity.

[0076] like Figure 4 As shown, the vertical axis is pressure, the horizontal axis is the mileage of the vehicle after replacing the new filter element, and the shaded area represents the dust holding capacity DHC.

[0077] Because the filter itself has resistance, even when it is new, it is necessary to calculate the initial filter resistance pressure P0 when the mileage is 0. Pressure P0 is a pressure less than atmospheric pressure. When the dust gradually increases to the inflection point, the fuel consumption will increase rapidly, so we can know that the shaded area is the dust capacity. Then, as long as the area of ​​the shaded area is calculated, the dust capacity can be obtained and the performance of the filter element can be inferred.

[0078] In layman's terms, the pressure value is measured in the air filter through the pressure sensor 321. The value measured by the pressure sensor 321 is the voltage change and then converted into pressure data output. After reading the pressure data, the dust holding capacity, or the inflection point of the curve, is determined according to the increase in the pressure data. In this way, the percentage of the service life of the filter element can be calculated and the time for replacing the filter element can be predicted.

[0079] The flow rate in the formula is also determined by pressure. The pressure in the above text is the instantaneous pressure, but the change in pressure comes from the air flow rate. The faster the air flows, the greater the pressure. The filter element is the filter medium, which can be imagined as a screen. The new filter element screen is open, which can be understood as a large cross-sectional area. Under the condition of constant air volume, the rate of passing through is relatively low. When dust is intercepted by the screen, the area through which air passes is reduced, and the air flow rate will increase, which will increase resistance. Air flow carries energy, or kinetic energy, and kinetic energy is resistance. The relationship between air kinetic energy and speed is:

[0080]

[0081] Substituting the flow rate of the new filter element and the air flow rate of the old filter element into the formula, the kinetic energy difference can be calculated, which is the desired filter pressure difference, that is, the calculated dynamic pressure resistance, that is:

[0082]

[0083] Finally, the calculation of dx is a coefficient. Different models have different body layouts, pipeline directions and filter shapes, which will also bring resistance effects. Some of these effects are beneficial to reducing resistance, while others increase resistance. Therefore, a coefficient is set for each model. This coefficient can be obtained from the laboratory and then divided by the calculated dynamic pressure resistance to obtain dx.

[0084] By means of the storage chip 220 and the information exchange with the vehicle unit 310, the vehicle information can be read, and the data can be obtained conveniently and accurately. At the same time, the information of the filter element can be read, and the problem of anti-counterfeiting of the filter element can be solved.

[0085] The new algorithm solves the traditional rough algorithm of calculating the service life of the filter element based on time and travel distance. By calculating the dust capacity of the filter element, the filtering effect of the filter element can be inferred, and finally a more accurate prediction of the service life of the filter element can be obtained.

[0086] Through the built-in electronic system, the data inside the filter element is transmitted to the data platform in real time, and the feedback and processing of the data platform ensure timely reminders for replacement.

[0087] The specific implementation modes of the present invention are described above, but the present invention is not limited thereto. The present invention can also have various changes without departing from the purpose of the present invention.

Claims

1. A monitoring method of a real-time monitoring device for the service life of an automobile filter, the real-time monitoring device for the service life of an automobile filter comprising: An air filter (100), a filter element unit (200), a filter unit (300) and a data terminal (400), wherein the filter element unit (200) is connected to the inside of the air filter (100), the filter unit (300) is fixed to the top shell of the air filter (100), and the data terminal (400) is connected to the filter unit (300); wherein the filter unit (300) comprises: a vehicle unit (310), a pressure sensing system (320), a sealing installation structure (330), a data transmission interface (340), a fastening screw (350) and a filter element unit contact pin (360), and the vehicle unit (310) is connected to the filter upper housing (120) through a fastening screw (350), the pressure sensing system (320) and the filter element unit contact pin (360) are arranged in the mounting hole (370) of the vehicle unit (310), the mounting hole (370) is connected to the filter upper housing (120) through a sealing mounting structure (330), the data transmission interface (340) is arranged on one side of the vehicle unit (310), the data transmission interface (340) is connected to the data terminal (400) through a data line, and the filter element unit contact pin (360) is connected to the filter element unit (200); characterized in that the monitoring method comprises the following steps: Step 1: Set the initial filter pressure value, initial filter resistance and dx coefficient, set the initial filter air flow rate to V0, set the air density to ρ, and calculate the initial filter pressure value P1 by formula 1, where formula 1: Set the initial filter element resistance to P0 and the standard atmospheric pressure to Pa, and calculate the initial filter element resistance P0 using Formula 2, where Formula 2: P0=Pa-P1; Step 2: data capture, reading the pressure data of the filter element (140) from the storage chip (220) through the pressure sensor (321), transmitting the pressure data to the ADC analog-to-digital conversion unit (324) through the pressure output signal line (322), and the ADC analog-to-digital conversion unit (324) converts the data and sends it to the acquisition and analysis unit (323) for analysis; Step 3: Data transmission: after the data is analyzed by the acquisition and analysis unit (323), it is transmitted to the analog-to-digital converter (315), and then the analog-to-digital converter (315) transmits it to the wireless transmission unit (314), and the wireless transmission unit (314) sends it to the data terminal (400), and the data terminal (400) performs processing and calculation; Step 4: Data processing, through the filter-related values ​​obtained during driving, set the air flow rate of the driving filter element to Vx, set the air density to ρ, and calculate the filter element driving pressure value P2 by formula 3, where formula 3: Finally, set the dust capacity to DHC, set the mileage to x, and calculate the dust capacity DHC of the car after driving x distance using Formula 4, where Formula 4: Step 5: Data feedback. After the calculation is completed, the data terminal (400) uploads the data to the big data platform. By comparing the calculated data of the dust capacity DHC with the set value, the service life of the filter element and the time when it needs to be replaced can be more accurately estimated, and a warning of reaching a dangerous value can be provided.

2. The monitoring method of the real-time monitoring device for the service life of an automobile filter according to claim 1, characterized in that: The source of the dx coefficient of Formula 4 is the inherent coefficient of the vehicle type. The calculation formula of the dx coefficient is: filter system resistance / calculated dynamic pressure resistance, where the filter system resistance is obtained by laboratory testing of automobile components, pipelines and other parts, and the calculated dynamic pressure resistance is:

3. The monitoring method of the real-time monitoring device for the service life of an automobile filter according to claim 1 is characterized in that: During the data capture process of step 2, the filter element unit contact pin (360) is connected to the filter element contact pin (230) to read the information of the storage chip (220). The storage chip (220) is an identification mark of the filter element, which is both anti-counterfeiting and provides the vehicle model to the data platform. The vehicle model has information on the vehicle model, engine displacement, whether it is supercharged, and fuel type in the corresponding database. Each vehicle information corresponds to different filter usage conditions and characteristics when the filter life is reached. Then, corresponding reference data is provided when performing formula calculation in step 5.

4. The monitoring method of the real-time monitoring device for the service life of an automobile filter according to claim 1 is characterized in that: The air filter (100) comprises: an air intake pipe (110), an upper filter housing (120), a lower filter housing (130), a filter element (140) and an air outlet pipe (150); the upper filter housing (120) is connected to the lower filter housing (130); the air intake pipe (110) is connected to the lower filter housing (130); the filter element (140) is connected to the middle of the upper filter housing (120) and the lower filter housing (130); a grid frame (141) is provided on the filter element (140); and the air outlet pipe (150) is connected to the upper filter housing (120).

5. The monitoring method of the real-time monitoring device for the service life of an automobile filter according to claim 4 is characterized in that: The filter element unit (200) comprises: a cover plate (210), a storage chip (220) and a filter element contact pin (230); the cover plate (210) is embeddedly connected to a corner of the grid frame (141); the storage chip (220) is connected to the upper part of the cover plate (210); and the filter element contact pin (230) is connected to a filter element unit contact pin (360).

6. The monitoring method of the real-time monitoring device for the service life of an automobile filter according to claim 5, characterized in that: The storage chip (220) is an E2PROM chip or an RFID electronic tag.

7. The monitoring method of the real-time monitoring device for the service life of an automobile filter according to claim 5, characterized in that: The vehicle unit (310) comprises: a storage power supply (311), an I2C interface (312), an embedded controller (313), a wireless transmission unit (314), an analog-to-digital converter (315), a transmission power supply (316) and a clock crystal oscillator (317); the storage power supply (311) is connected to the I2C interface (312) and a storage chip (220); the I2C interface (312) is arranged on the embedded controller (313); the embedded controller (313) is connected to the wireless transmission unit (314) and the analog-to-digital converter (315); the wireless transmission unit (314) is connected to the transmission power supply (316); the wireless transmission unit (314) is wirelessly connected to a data terminal (400); and the analog-to-digital converter (315) is connected to the clock crystal oscillator (317).

8. The monitoring method of the real-time monitoring device for the service life of an automobile filter according to claim 3 is characterized in that: The pressure sensing system (320) comprises: a pressure sensor (321), a pressure output signal line (322), a collection and analysis unit (323) and an ADC analog-to-digital conversion unit (324); the pressure sensor (321) is connected to the ADC analog-to-digital conversion unit (324) via the pressure output signal line (322); the ADC analog-to-digital conversion unit (324) is connected to the collection and analysis unit (323); the output end of the collection and analysis unit (323) is connected to the analog-to-digital converter (315); and the input end of the collection and analysis unit (323) is connected to a storage chip (220).

9. The monitoring method of the real-time monitoring device for the service life of an automobile filter according to claim 1, characterized in that: The data terminal (400) includes: a mobile phone, a tablet, a laptop computer or other mobile terminals.

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