WO2023273143A1 - 一种基于环境pm2.5的汽车空调滤芯的更换提醒方法及系统 - Google Patents

一种基于环境pm2.5的汽车空调滤芯的更换提醒方法及系统 Download PDF

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WO2023273143A1
WO2023273143A1 PCT/CN2021/134420 CN2021134420W WO2023273143A1 WO 2023273143 A1 WO2023273143 A1 WO 2023273143A1 CN 2021134420 W CN2021134420 W CN 2021134420W WO 2023273143 A1 WO2023273143 A1 WO 2023273143A1
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filter element
air conditioner
air
environment
conditioning filter
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PCT/CN2021/134420
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English (en)
French (fr)
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徐�明
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一汽奔腾轿车有限公司
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    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60H—ARRANGEMENTS OF HEATING, COOLING, VENTILATING OR OTHER AIR-TREATING DEVICES SPECIALLY ADAPTED FOR PASSENGER OR GOODS SPACES OF VEHICLES
    • B60H3/00—Other air-treating devices
    • B60H3/06—Filtering
    • B60H3/0608—Filter arrangements in the air stream
    • B60H3/0616—Filter arrangements in the air stream with provisions for replacing the filter element
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60H—ARRANGEMENTS OF HEATING, COOLING, VENTILATING OR OTHER AIR-TREATING DEVICES SPECIALLY ADAPTED FOR PASSENGER OR GOODS SPACES OF VEHICLES
    • B60H3/00—Other air-treating devices
    • B60H3/06—Filtering
    • B60H2003/0683—Filtering the quality of the filter or the air being checked
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A50/00—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE in human health protection, e.g. against extreme weather
    • Y02A50/20—Air quality improvement or preservation, e.g. vehicle emission control or emission reduction by using catalytic converters
    • Y02A50/2351—Atmospheric particulate matter [PM], e.g. carbon smoke microparticles, smog, aerosol particles, dust

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  • the invention relates to the technical field of automobile air purification, in particular to a replacement reminder method and system for an automobile air-conditioning filter element based on ambient PM2.5.
  • the air conditioner filter For the vast majority of vehicles, the most effective and direct way to purify the air quality in the car is to rely on the air conditioner filter to purify. With the environmental changes and the improvement of people's health awareness, PM2.5 filter has been widely used, activated carbon filter, HEPA filter And the application of composite filter elements is also gradually increasing. These filter elements can not only effectively filter dust and pollen in the external air, but also efficiently filter PM2.5 particles in the air, thereby improving the air quality in the car.
  • the car air conditioner filter element has an upper limit of dust holding capacity. When the air conditioner filter element is not replaced in time and exceeds the upper limit of dust holding capacity of the air conditioner filter element, the filtering and purification effect of the air conditioner filter element will be greatly reduced, and may even cause secondary pollution.
  • the embodiment of the present invention provides a method and system for reminding the replacement of an automobile air conditioning filter element based on ambient PM2.5. Described technical scheme is as follows:
  • a method for reminding the replacement of an automotive air-conditioning filter element based on ambient PM2.5 is provided, the method is realized by a replacement reminder system for an automotive air-conditioning filter element based on ambient PM2.5, and the system includes an environmental climate big data platform, Internet of Vehicles communication platform, TBOX, air conditioner controller, audio, and air conditioner, the air conditioner includes a blower, an internal and external circulation mode motor, and an air conditioner filter element; the method includes:
  • the air-conditioning controller confirms the service life of the air-conditioning filter element through a test method or a big data collection method
  • the air conditioner controller obtains the ambient PM2.5 value through the environmental climate big data platform, the Internet of Vehicles communication platform, and TBOX;
  • the air conditioner controller judges the blower on state through the hard line, if the state of the blower is on, then execute the next step S40, if the state of the blower is off, then return to S20;
  • the air conditioner controller judges the state of the internal and external circulation motor through hard wires. If the state of the internal and external circulation motor is the internal circulation mode, then perform step S41. If the state of the internal and external circulation motor is the external circulation mode, then perform step S50;
  • the air conditioner controller receives the door and window state signals through the CAN bus. If the door and window states are all closed, then return to step S20. If the door and window states are both open, then perform step S50;
  • the air conditioner controller determines the cumulative working time of the air conditioner filter element under different ambient PM2.5 values and the service life of the air conditioner filter element under different ambient PM2.5 values, and then determines whether the air conditioner filter element meets the replacement conditions.
  • the air-conditioning controller in the S10 confirms the service life of the air-conditioning filter element through a test method or a large data collection method, including:
  • the service life Tn of the air-conditioning filter element under different environments is obtained respectively, including:
  • the environment with ambient PM2.5 ⁇ 75 is confirmed as an excellent environment, and the service life of the air conditioning filter element is determined to be T1;
  • the environment with 75 ⁇ PM2.5 ⁇ 150 is confirmed as mild/moderately polluted environment, and the service life of the air conditioning filter element is determined as T2;
  • the environment with 150 ⁇ PM2.5 ⁇ 250 is confirmed as a heavily polluted environment, and the service life of the air conditioning filter element is determined to be T3;
  • the environment with PM2.5 ⁇ 250 is confirmed as a seriously polluted environment, and the service life of the air conditioning filter element is determined to be T4.
  • the air conditioner controller in the S50 determines the cumulative working time of the air conditioner filter element under different ambient PM2.5 values, and the service life of the air conditioner filter element under different ambient PM2.5 values, and then determines whether the air conditioner filter element Meet the replacement conditions, including:
  • the air conditioner controller determines the cumulative working time t1 of the air conditioning filter element in the environment of PM2.5 ⁇ 75, the cumulative working time t2 of the air conditioning filter element in the environment of 75 ⁇ PM2.5 ⁇ 150, and the cumulative working time of the filter element in the environment of 150 ⁇ PM2.5 ⁇ 250 Working time t3, cumulative working time t4 under PM2.5 ⁇ 250 environment;
  • the air conditioner controller calculates the sum value of the formula t1/T1+t2/T2+t3/T3+t4/T4, compares the sum value with 1, and if the sum value is greater than or equal to 1, judge the air conditioner filter element The replacement condition is met, and if the sum value is less than 1, it is judged that the air conditioner filter element does not meet the replacement condition.
  • the method further includes:
  • the sound emits a prompt sound reminding to replace the air-conditioning filter element.
  • a replacement reminder system for an automotive air-conditioning filter element based on ambient PM2.5 is provided, the system is used to implement a replacement reminder method for an automotive air-conditioning filter element based on ambient PM2.5, and the system includes ambient climate Big data platform, Internet of Vehicles communication platform, TBOX, air conditioner controller, audio, air conditioner; among them,
  • the environment and climate big data platform is used to provide vehicles with real-time monitoring services of air quality outside the vehicle and in the area where the vehicle is located, helping vehicle owners to grasp the surrounding environmental conditions in a timely manner;
  • the vehicle networking communication platform is used to establish communication with the environmental climate big data platform, obtain the air quality information outside the vehicle and the area where the vehicle is located, and send the air quality information to TBOX;
  • TBOX used to communicate with the air conditioner controller 130 through CAN, and send the air quality information obtained from the Internet of Vehicles communication platform 110 outside the vehicle and the area where the vehicle is located to the air conditioner controller;
  • the air conditioner controller is used to count the cumulative working hours of the air conditioner under different air quality environments, and to judge whether the air conditioner filter element needs to be replaced;
  • Audio used to communicate with the air conditioner controller through CAN, when the air conditioner filter element needs to be replaced, remind the air conditioner filter element to replace;
  • Air conditioner the air conditioner includes a blower, an internal and external circulation mode motor, and an air conditioning filter element.
  • the internal and external circulation mode motor and the blower are connected to the air conditioner controller through a hard wire, which can feedback the air conditioner's working cycle mode and the blower's on state.
  • the air conditioner controller is further used for:
  • the air conditioner controller is further used for:
  • the air conditioner controller is further used for:
  • the environment with ambient PM2.5 ⁇ 75 is confirmed as an excellent environment, and the service life of the air conditioning filter element is determined to be T1;
  • the environment with 75 ⁇ PM2.5 ⁇ 150 is confirmed as mild/moderately polluted environment, and the service life of the air conditioning filter element is determined as T2;
  • the environment with 150 ⁇ PM2.5 ⁇ 250 is confirmed as a heavily polluted environment, and the service life of the air conditioning filter element is determined to be T3;
  • the environment with PM2.5 ⁇ 250 is confirmed as a seriously polluted environment, and the service life of the air conditioning filter element is determined to be T4.
  • the air conditioner controller is further used for:
  • the air conditioner controller determines the cumulative working time t1 of the air conditioning filter element in the environment of PM2.5 ⁇ 75, the cumulative working time t2 of the air conditioning filter element in the environment of 75 ⁇ PM2.5 ⁇ 150, and the cumulative working time of the filter element in the environment of 150 ⁇ PM2.5 ⁇ 250 Working time t3, cumulative working time t4 under PM2.5 ⁇ 250 environment;
  • the air conditioner controller calculates the sum value of the formula t1/T1+t2/T2+t3/T3+t4/T4, compares the sum value with 1, and if the sum value is greater than or equal to 1, judge the air conditioner filter element The replacement condition is met, and if the sum value is less than 1, it is judged that the air conditioner filter element does not meet the replacement condition.
  • the air conditioner is calculated. Whether the filter element needs to be replaced, remind the user to replace the filter element in time to ensure the air purification effect in the car. In this way, without adding additional sensors, the PM2.5 environmental data outside the car can be obtained through the network, and the replacement reminder of the air conditioning filter can be realized.
  • Fig. 1 is a kind of system block diagram of the replacement reminding of the automobile air-conditioning filter element based on ambient PM2.5 that the embodiment of the present invention provides;
  • Fig. 2 is a flow chart of a replacement reminder method for an automotive air-conditioning filter element based on ambient PM2.5 provided by an embodiment of the present invention
  • Fig. 3 is a flow chart of a replacement reminder method for an automotive air conditioning filter element based on ambient PM2.5 provided by an embodiment of the present invention.
  • An embodiment of the present invention provides a replacement reminder system for an automotive air-conditioning filter element based on ambient PM2.5.
  • the system is used to implement a replacement reminder method for an automotive air-conditioning filter element based on ambient PM2.5.
  • the environment and climate big data platform 100 is used to provide vehicles with real-time monitoring services of air quality outside the vehicle and in the area where the vehicle is located, helping vehicle owners to grasp the surrounding environmental conditions in a timely manner;
  • the Internet of Vehicles communication platform 110 is used to establish communication with the environmental and climate big data platform 100, obtain air quality information outside the vehicle and the area where the vehicle is located, and send the air quality information to the TBOX 120;
  • TBOX 120 used to communicate with the air conditioner controller 130130 through CAN, and send the air quality information obtained from the Internet of Vehicles communication platform 110110 outside the vehicle and the area where the vehicle is located to the air conditioner controller 130;
  • the air conditioner controller 130 is used to count the cumulative working hours of the air conditioner under different air quality environments, and determine whether the air conditioner filter element needs to be replaced;
  • Audio 140 used to communicate with the air conditioner controller 130 through CAN, when the air conditioner filter element needs to be replaced, remind the air conditioner filter element to replace;
  • Air conditioner 150 includes air blower 152, internal and external circulation mode motor 151, air conditioner filter element 153, internal and external circulation mode motor 151 and air blower 152 are connected with air conditioner controller 130 by hard wire, can feedback air conditioning work cycle mode 151 and air blower 152 On state.
  • the embodiment of the present invention provides a method for reminding the replacement of the automotive air conditioning filter based on the ambient PM2.5.
  • the method can be realized by the replacement reminder system of the automotive air conditioning filter based on the ambient PM2.5.
  • the system includes an environmental climate big data platform and an Internet of Vehicles Communication platform, TBOX, air conditioner controller, audio, air conditioner, air conditioner includes blower, internal and external circulation mode motor, air conditioner filter element.
  • TBOX Internet of Vehicles Communication platform
  • air conditioner controller air conditioner controller
  • audio air conditioner
  • air conditioner includes blower, internal and external circulation mode motor, air conditioner filter element.
  • the flow chart of the replacement reminder method based on the ambient PM2.5 automotive air-conditioning filter element, the processing flow of the method can include the following steps:
  • the air-conditioning controller confirms the service life of the air-conditioning filter element through a test method or a big data collection method
  • the air conditioner controller obtains the ambient PM2.5 value through the environmental climate big data platform, the Internet of Vehicles communication platform, and TBOX;
  • the air conditioner controller judges the blower on state through the hard line, if the state of the blower is on, then execute the next step S40, if the state of the blower is off, then return to S20;
  • the air conditioner controller judges the state of the internal and external circulation motor through hard wires. If the state of the internal and external circulation motor is the internal circulation mode, then perform step S41. If the state of the internal and external circulation motor is the external circulation mode, then perform step S50;
  • the air conditioner controller receives the door and window state signals through the CAN bus. If the door and window states are all closed, then return to step S20. If the door and window states are both open, then perform step S50;
  • the air conditioner controller determines the cumulative working time of the air conditioner filter element under different ambient PM2.5 values and the service life of the air conditioner filter element under different ambient PM2.5 values, and then determines whether the air conditioner filter element meets the replacement conditions.
  • the air-conditioning controller in the S10 confirms the service life of the air-conditioning filter element through a test method or a large data collection method, including:
  • the service life Tn of the air conditioner filter element in different environments can be obtained, including:
  • the environment with ambient PM2.5 ⁇ 75 is confirmed as an excellent environment, and the service life of the air conditioning filter element is determined to be T1;
  • the environment with 75 ⁇ PM2.5 ⁇ 150 is confirmed as mild/moderately polluted environment, and the service life of the air conditioning filter element is determined as T2;
  • the environment with 150 ⁇ PM2.5 ⁇ 250 is confirmed as a heavily polluted environment, and the service life of the air conditioning filter element is determined to be T3;
  • the environment with PM2.5 ⁇ 250 is confirmed as a seriously polluted environment, and the service life of the air conditioning filter element is determined to be T4.
  • the air-conditioning controller in the S50 determines the accumulated working time of the air-conditioning filter element under different ambient PM2.5 values, and the service life of the air-conditioning filter element under different ambient PM2.5 values, and then judges whether the air-conditioning filter element is suitable for replacement conditions, including:
  • the air conditioner controller determines the cumulative working time t1 of the air conditioning filter element in the environment of PM2.5 ⁇ 75, the cumulative working time t2 of the air conditioning filter element in the environment of 75 ⁇ PM2.5 ⁇ 150, and the cumulative working time of the filter element in the environment of 150 ⁇ PM2.5 ⁇ 250 Working time t3, cumulative working time t4 under PM2.5 ⁇ 250 environment;
  • the air conditioner controller calculates the sum value of the formula t1/T1+t2/T2+t3/T3+t4/T4, compares the sum value with 1, and if the sum value is greater than or equal to 1, it is judged that the air conditioner filter element meets the replacement condition, If the sum value is less than 1, it is determined that the air conditioning filter element does not meet the replacement conditions.
  • the method further includes:
  • the embodiment of the present invention provides a method for reminding the replacement of the automotive air conditioning filter based on the ambient PM2.5.
  • the method can be realized by the replacement reminder system of the automotive air conditioning filter based on the ambient PM2.5.
  • the system includes an environmental climate big data platform and an Internet of Vehicles Communication platform, TBOX, air conditioner controller, audio, air conditioner, air conditioner includes blower, internal and external circulation mode motor, air conditioner filter element.
  • TBOX Internet of Vehicles Communication platform
  • air conditioner controller air conditioner controller
  • audio air conditioner
  • air conditioner includes blower, internal and external circulation mode motor, air conditioner filter element.
  • the flow chart of the replacement reminder method based on the ambient PM2.5 automotive air-conditioning filter element, the processing flow of the method can include the following steps:
  • the air conditioner controller confirms the service life of the air conditioner filter element through a test method or a big data collection method.
  • the environment with ambient PM2.5 ⁇ 75 is confirmed as an excellent environment, and the service life of the air conditioning filter element is determined as T1.
  • the environment with 75 ⁇ PM2.5 ⁇ 150 is confirmed as slightly/moderately polluted environment, and the service life of the air conditioner filter element is determined as T2.
  • the environment with 150 ⁇ PM2.5 ⁇ 250 is confirmed as a heavily polluted environment, and the service life of the air conditioning filter element is determined to be T3.
  • the environment with PM2.5 ⁇ 250 is confirmed as a seriously polluted environment, and the service life of the air conditioning filter element is determined to be T4.
  • the test method in step S10 is to conduct corresponding tests on the air conditioner filter element in different environments, and respectively obtain the service life Tn of the air conditioner filter element in different environments.
  • air quality can be divided into 4 situations: 1) excellent, PM2.5 ⁇ 75; 2) mild/moderate pollution, 75 ⁇ PM2.5 ⁇ 150; 3) severe pollution, 150 ⁇ PM2.5 ⁇ 250; 4) Severe pollution, 250 ⁇ PM2.5. Then through the test, the service life of the corresponding environment can be obtained respectively.
  • the service life of the air conditioning filter element is T1; in a mild/moderately polluted environment (75 ⁇ PM2.5 ⁇ 150) , the service life of the air conditioner filter is T2; in a heavily polluted environment (150 ⁇ PM2.5 ⁇ 250), the service life of the air conditioner filter is T3; in a severely polluted environment (250 ⁇ PM2.5), the service life of the air conditioner filter is T4.
  • T1 In a good environment (PM2.5 ⁇ 75), the service life of the air conditioner filter element is T1; in a mild/moderately polluted environment (75 ⁇ PM2.5 ⁇ 150) , the service life of the air conditioner filter is T2; in a heavily polluted environment (150 ⁇ PM2.5 ⁇ 250), the service life of the air conditioner filter is T3; in a severely polluted environment (250 ⁇ PM2.5), the service life of the air conditioner filter is T4.
  • the big data collection method in step S10 is to obtain the working life of the air-conditioning filter element under different environmental qualities through big data collection.
  • the premise of this method is: 1 The vehicle can obtain the PM2.5 data outside the vehicle (either through the PM2.5 sensor, or through the network PM2.5 data and other channels), and can upload the corresponding data to the big data background; 2 The vehicle itself Has filter replacement reminder function. Generally, vehicles have the function of reminding filter element replacement through PM2.5 sensor calculation, which can basically meet the above two conditions.
  • the implementation steps of this method are as follows: a certain vehicle counts the working hours of the air conditioner under different environmental qualities under the external circulation mode or the internal circulation mode of the air conditioner (but when the doors and windows are opened).
  • the air conditioner when the vehicle prompts to replace the filter element, the air conditioner is in external circulation mode or internal circulation mode (but when the door and window are open), the cumulative working time t1 ' is PM2.5 ⁇ 75 in the environment; 75 ⁇ PM2.5 ⁇ in the environment 150 accumulative working time t2 ' ; in the environment 150 ⁇ PM2.5 ⁇ 250 accumulative working time t3 ' ; in the environment 250 ⁇ PM2.5 accumulative working time t4 ' ; the vehicle uploads these data to the big data background, through multiple vehicles Car data collection, combined with the following formula for big data processing and calculation:
  • the air conditioner controller obtains the ambient PM2.5 value through the environmental climate big data platform, the Internet of Vehicles communication platform, and TBOX.
  • the air conditioner controller judges the blower on state through the hard wire. If the blower is on, execute the next step S40. If the blower is off, return to S20.
  • the air conditioner controller judges the state of the internal and external circulation motor through hard wires. If the state of the internal and external circulation motor is the internal circulation mode, perform step S41. If the state of the internal and external circulation motor is in the external circulation mode, perform step S51.
  • the air conditioner controller receives the door and window state signals through the CAN bus. If both the doors and windows are closed, return to step S20. If both the doors and windows are open, execute step S51.
  • the air conditioner controller determines the cumulative working time t1 of the air conditioning filter element in the environment of PM2.5 ⁇ 75, the cumulative working time t2 of the air conditioning filter element in the environment of 75 ⁇ PM2.5 ⁇ 150, and the cumulative working time of the filter element in the environment of 150 ⁇ PM2.5 ⁇ 250 Working time t3, cumulative working time t4 under PM2.5 ⁇ 250 environment.
  • the air conditioner controller calculates the sum value of the formula t1/T1+t2/T2+t3/T3+t4/T4, compares the sum value with 1, and if the sum value is greater than or equal to 1, it is judged that the air conditioner filter element meets the replacement condition, If the sum value is less than 1, it is judged that the air conditioner filter element does not meet the replacement condition, and step S10 is re-executed to monitor the air conditioner filter element.
  • the audio system sends out a prompt sound reminding to replace the air conditioner filter element.

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  • Air-Conditioning For Vehicles (AREA)

Abstract

本发明涉及汽车空气净化技术领域，特别是指一种基于环境PM2.5的汽车空调滤芯的更换提醒方法及系统，所述系统包括环境气候大数据平台、车联网通信平台、TBOX、空调控制器、音响、空调器，所述空调器包括鼓风机、内外循环模式电机、空调滤芯，本发明的方法根据空调滤芯在不同PM2.5环境下使用寿命不同，通过统计不同PM2.5环境下的累计工作时间等，计算出空调滤芯是否需要更换，及时提醒用户更换滤芯，保证车内空气净化效果。这样，可以实现在不增加额外传感器的基础上，通过网络获取车外PM2.5环境数据，实现空调滤芯的更换提醒。

Description

一种基于环境PM2.5的汽车空调滤芯的更换提醒方法及系统 技术领域
本发明涉及汽车空气净化技术领域，特别是指一种基于环境PM2.5的汽车空调滤芯的更换提醒方法及系统。
背景技术
近年来，随着空气环境污染的加剧，雾霾以及沙尘暴天气频发，越来越引起人们对周边空气环境质量的关注，而且随着车辆的普及和发展，每天在汽车中的时间也更久，所以对车内的空气质量要求越来越高。
针对绝大多数车辆而言，车内空气质量净化最有效最直接的方式是依赖于空调滤芯净化，随着环境变化及人们健康意识的提升，PM2.5滤芯已普及应用，活性炭滤芯、HEPA滤芯以及复合滤芯应用也逐步增加。这些滤芯不仅可以有效过滤外部空气中的灰尘花粉等，而且能高效过滤空气中PM2.5颗粒物，从而提高车内空气质量。不过车载空调滤芯都有容尘量上限，当空调滤芯不及时更换，超过空调滤芯的容尘量上限后，空调滤芯过滤净化效果将会大大折扣，甚至可能带来二次污染。
目前，行业内滤芯更换大多数是根据车辆行驶里程以及车辆使用时间来判断滤芯是否需要更换，该方法不能保证滤芯及时有效地更换。
发明内容
本发明实施例提供了一种基于环境PM2.5的汽车空调滤芯的更换提醒方法及系统。所述技术方案如下：
一方面，提供了一种基于环境PM2.5的汽车空调滤芯的更换提醒方法，所述方法由基于环境PM2.5的汽车空调滤芯的更换提醒系统实现，所述系统包括环境气候大数据平台、车联网通信平台、TBOX、空调控制器、音响、空调器，所述空 调器包括鼓风机、内外循环模式电机、空调滤芯；所述方法包括：
S10、空调控制器通过试验法或者大数据收集法确认空调滤芯的使用寿命；
S20、车辆上电后，空调控制器通过环境气候大数据平台、车联网通信平台、TBOX获得环境PM2.5值；
S30、空调控制器通过硬线判断鼓风机开启状态，如果鼓风机的状态为开启，则执行下一步骤S40，如果鼓风机的状态为关闭，则返回S20；
S40、空调控制器通过硬线判断内外循环电机状态，如果内外循环电机的状态为内循环模式，则执行步骤S41，如果内外循环电机的状态为外循环模式，则执行步骤S50；
S41、空调控制器通过CAN总线接受门、窗状态信号，如果门、窗状态均为关闭状态，则返回步骤S20，如果门、窗状态均为开启状态，则执行步骤S50；
S50、空调控制器确定空调滤芯在不同的环境PM2.5值下的累计工作时间、以及空调滤芯在不同的环境PM2.5值下的使用寿命，进而判断空调滤芯是否满足更换条件。
可选的，所述S10中的空调控制器通过试验法或者大数据收集法确认空调滤芯的使用寿命，包括：
将空调滤芯在不同环境下状态下开展相应试验，或者，通过对多辆车辆的数据收集，分别得出不同环境下空调滤芯使用寿命Tn。
可选的，所述分别得出不同环境下空调滤芯使用寿命Tn，包括：
将环境PM2.5＜75的环境确认为优良环境，确定空调滤芯的使用寿命为T1；
将75≤PM2.5＜150的环境确认为轻度/中度污染环境，确定空调滤芯的使用寿命为T2；
将150≤PM2.5＜250的环境确认为重度污染环境，确定空调滤芯的使用寿命为T3；
将PM2.5≥250的环境确认为严重污染环境，确定空调滤芯的使用寿命为T4。
可选的，所述S50中的空调控制器确定空调滤芯在不同的环境PM2.5值下的累计工作时间、以及空调滤芯在不同的环境PM2.5值下的使用寿命，进而判断空调滤芯是否满足更换条件，包括：
S51、空调控制器确定空调滤芯在PM2.5＜75环境下的累计工作时间t1、在 75≤PM2.5＜150环境下的累计工作时间t2、在150≤PM2.5＜250环境下的累计工作时间t3、在PM2.5≥250环境下的累计工作时间t4；
S52、空调控制器计算公式t1/T1+t2/T2+t3/T3+t4/T4的和值，将所述和值与1进行比较，如果所述和值大于或者等于1，则判断空调滤芯满足更换条件，如果所述和值小于1，则判断空调滤芯不满足更换条件。
可选的，所述S52中判断空调滤芯满足更换条件之后，所述方法还包括：
所述音响发出提醒更换空调滤芯的提示音。
另一方面，提供了一种基于环境PM2.5的汽车空调滤芯的更换提醒系统，所述系统用于实现一种基于环境PM2.5的汽车空调滤芯的更换提醒方法，所述系统包括环境气候大数据平台、车联网通信平台、TBOX、空调控制器、音响、空调器；其中，
环境气候大数据平台，用于为车辆提供车外和车辆所在区域范围的空气质量实时监测服务，帮助车主及时掌握周边的环境情况；
车联网通信平台，用于和环境气候大数据平台建立通讯，获取车外和车辆所在区域范围的空气质量信息，并将空气质量信息发送给TBOX；
TBOX，用于与空调控制器130通过CAN通讯，将从车联网通信平台110获取车外和车辆所在区域范围的空气质量信息发送给空调控制器；
空调控制器，用于统计在不同空气质量环境下空调累计工作时间，并判断空调滤芯是否需要更换；
音响，用于与空调控制器通过CAN通讯，当空调滤芯需要更换时，提醒空调滤芯更换；
空调器，空调器包括鼓风机、内外循环模式电机、空调滤芯，内外循环模式电机和鼓风机与空调控制器通过硬线连接，可以反馈出空调工作循环模式以及鼓风机开启状态。
可选的，所述空调控制器，进一步用于：
通过环境气候大数据平台、车联网通信平台、TBOX获得环境PM2.5值；通过硬线判断鼓风机开启状态；判断内外循环电机状态；通过CAN总线接受门、窗状态信号；确定空调滤芯在不同的环境PM2.5值下的累计工作时间、以及空调滤芯 在不同的环境PM2.5值下的使用寿命，进而判断空调滤芯是否满足更换条件。
可选的，所述空调控制器，进一步用于：
将空调滤芯在不同环境下状态下开展相应试验，或者，通过对多辆车辆的数据收集，分别得出不同环境下空调滤芯使用寿命Tn
可选的，所述空调控制器，进一步用于：
将环境PM2.5＜75的环境确认为优良环境，确定空调滤芯的使用寿命为T1；
将75≤PM2.5＜150的环境确认为轻度/中度污染环境，确定空调滤芯的使用寿命为T2；
将150≤PM2.5＜250的环境确认为重度污染环境，确定空调滤芯的使用寿命为T3；
将PM2.5≥250的环境确认为严重污染环境，确定空调滤芯的使用寿命为T4。
可选的，所述空调控制器，进一步用于：
S51、空调控制器确定空调滤芯在PM2.5＜75环境下的累计工作时间t1、在75≤PM2.5＜150环境下的累计工作时间t2、在150≤PM2.5＜250环境下的累计工作时间t3、在PM2.5≥250环境下的累计工作时间t4；
S52、空调控制器计算公式t1/T1+t2/T2+t3/T3+t4/T4的和值，将所述和值与1进行比较，如果所述和值大于或者等于1，则判断空调滤芯满足更换条件，如果所述和值小于1，则判断空调滤芯不满足更换条件。
本发明实施例提供的技术方案带来的有益效果至少包括：
上述方案中，通过基于网络PM2.5大数据空调滤芯更换提醒的算法，根据空调滤芯在不同PM2.5环境下使用寿命不同，通过统计不同PM2.5环境下的累计工作时间等，计算出空调滤芯是否需要更换，及时提醒用户更换滤芯，保证车内空气净化效果。这样，可以实现在不增加额外传感器的基础上，通过网络获取车外PM2.5环境数据，实现空调滤芯的更换提醒。
附图说明
为了更清楚地说明本发明实施例中的技术方案，下面将对实施例描述中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本发明的一 些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他的附图。
图1是本发明实施例提供的一种基于环境PM2.5的汽车空调滤芯的更换提醒的系统框图；
图2是本发明实施例提供的一种基于环境PM2.5的汽车空调滤芯的更换提醒方法流程图；
图3是本发明实施例提供的一种基于环境PM2.5的汽车空调滤芯的更换提醒方法流程图。
具体实施方式
为使本发明要解决的技术问题、技术方案和优点更加清楚，下面将结合附图及具体实施例进行详细描述。
本发明实施例提供了一种基于环境PM2.5的汽车空调滤芯的更换提醒系统，该系统用于实现一种基于环境PM2.5的汽车空调滤芯的更换提醒方法，所述系统包括环境气候大数据平台100、车联网通信平台110、TBOX 120、空调控制器130、音响140、空调器150；其中，
环境气候大数据平台100，用于为车辆提供车外和车辆所在区域范围的空气质量实时监测服务，帮助车主及时掌握周边的环境情况；
车联网通信平台110，用于和环境气候大数据平台100建立通讯，获取车外和车辆所在区域范围的空气质量信息，并将空气质量信息发送给TBOX 120；
TBOX 120，用于与空调控制器130130通过CAN通讯，将从车联网通信平台110110获取车外和车辆所在区域范围的空气质量信息发送给空调控制器130；
空调控制器130，用于统计在不同空气质量环境下空调累计工作时间，并判断空调滤芯是否需要更换；
音响140，用于与空调控制器130通过CAN通讯，当空调滤芯需要更换时，提醒空调滤芯更换；
空调器150，空调器150包括鼓风机152、内外循环模式电机151、空调滤芯153，内外循环模式电机151和鼓风机152与空调控制器130通过硬线连接，可以反馈出空调工作循环模式151以及鼓风机152开启状态。
本发明实施例提供了一种基于环境PM2.5的汽车空调滤芯的更换提醒方法，方法可以由基于环境PM2.5的汽车空调滤芯的更换提醒系统实现，系统包括环境气候大数据平台、车联网通信平台、TBOX、空调控制器、音响、空调器，空调器包括鼓风机、内外循环模式电机、空调滤芯。如图2所示的基于环境PM2.5的汽车空调滤芯的更换提醒方法流程图，该方法的处理流程可以包括如下的步骤：
S10、空调控制器通过试验法或者大数据收集法确认空调滤芯的使用寿命；
S20、车辆上电后，空调控制器通过环境气候大数据平台、车联网通信平台、TBOX获得环境PM2.5值；
S30、空调控制器通过硬线判断鼓风机开启状态，如果鼓风机的状态为开启，则执行下一步骤S40，如果鼓风机的状态为关闭，则返回S20；
S40、空调控制器通过硬线判断内外循环电机状态，如果内外循环电机的状态为内循环模式，则执行步骤S41，如果内外循环电机的状态为外循环模式，则执行步骤S50；
S41、空调控制器通过CAN总线接受门、窗状态信号，如果门、窗状态均为关闭状态，则返回步骤S20，如果门、窗状态均为开启状态，则执行步骤S50；
S50、空调控制器确定空调滤芯在不同的环境PM2.5值下的累计工作时间、以及空调滤芯在不同的环境PM2.5值下的使用寿命，进而判断空调滤芯是否满足更换条件。
可选的，S10中的空调控制器通过试验法或者大数据收集法确认空调滤芯的使用寿命，包括：
将空调滤芯在不同环境下状态下开展相应试验，或者，通过对多辆车辆的数据收集，分别得出不同环境下空调滤芯使用寿命Tn。
可选的，分别得出不同环境下空调滤芯使用寿命Tn，包括：
将环境PM2.5＜75的环境确认为优良环境，确定空调滤芯的使用寿命为T1；
将75≤PM2.5＜150的环境确认为轻度/中度污染环境，确定空调滤芯的使用寿命为T2；
将150≤PM2.5＜250的环境确认为重度污染环境，确定空调滤芯的使用寿命 为T3；
将PM2.5≥250的环境确认为严重污染环境，确定空调滤芯的使用寿命为T4。
可选的，S50中的空调控制器确定空调滤芯在不同的环境PM2.5值下的累计工作时间、以及空调滤芯在不同的环境PM2.5值下的使用寿命，进而判断空调滤芯是否满足更换条件，包括：
S51、空调控制器确定空调滤芯在PM2.5＜75环境下的累计工作时间t1、在75≤PM2.5＜150环境下的累计工作时间t2、在150≤PM2.5＜250环境下的累计工作时间t3、在PM2.5≥250环境下的累计工作时间t4；
S52、空调控制器计算公式t1/T1+t2/T2+t3/T3+t4/T4的和值，将和值与1进行比较，如果和值大于或者等于1，则判断空调滤芯满足更换条件，如果和值小于1，则判断空调滤芯不满足更换条件。
可选的，S52中判断空调滤芯满足更换条件之后，方法还包括：
音响发出提醒更换空调滤芯的提示音。
本发明实施例中，通过基于网络PM2.5大数据空调滤芯更换提醒的算法，根据空调滤芯在不同PM2.5环境下使用寿命不同，通过统计不同PM2.5环境下的累计工作时间等，计算出空调滤芯是否需要更换，及时提醒用户更换滤芯，保证车内空气净化效果。这样，可以实现在不增加额外传感器的基础上，通过网络获取车外PM2.5环境数据，实现空调滤芯的更换提醒。
本发明实施例提供了一种基于环境PM2.5的汽车空调滤芯的更换提醒方法，方法可以由基于环境PM2.5的汽车空调滤芯的更换提醒系统实现，系统包括环境气候大数据平台、车联网通信平台、TBOX、空调控制器、音响、空调器，空调器包括鼓风机、内外循环模式电机、空调滤芯。如图3所示的基于环境PM2.5的汽车空调滤芯的更换提醒方法流程图，该方法的处理流程可以包括如下的步骤：
S10、空调控制器通过试验法或者大数据收集法确认空调滤芯的使用寿命。
一种可行的实施方式中，将空调滤芯在不同环境下状态下开展相应试验，或者，通过对多辆车辆的数据收集，分别得出不同环境下空调滤芯使用寿命Tn。可选的一种划分方式为：
将环境PM2.5＜75的环境确认为优良环境，确定空调滤芯的使用寿命为T1。
将75≤PM2.5＜150的环境确认为轻度/中度污染环境，确定空调滤芯的使用寿命为T2。
将150≤PM2.5＜250的环境确认为重度污染环境，确定空调滤芯的使用寿命为T3。
将PM2.5≥250的环境确认为严重污染环境，确定空调滤芯的使用寿命为T4。
具体来讲，步骤S10中的试验法，即将空调滤芯在不同环境下状态下开展相应试验，分别得出不同环境下空调滤芯使用寿命Tn。例如：可以将空气质量分为4种情况：1)优良，PM2.5＜75；2)轻度/中度污染，75≤PM2.5＜150；3)重度污染，150≤PM2.5＜250；4)严重污染，250≤PM2.5。然后通过试验可以分别得出相应环境下使用寿命，在优良环境下(PM2.5＜75)，空调滤芯使用寿命为T1；在轻度/中度污染环境下(75≤PM2.5＜150)，空调滤芯使用寿命为T2；在重度污染环境下(150≤PM2.5＜250)，空调滤芯使用寿命为T3；在严重污染环境下(250≤PM2.5)，空调滤芯使用寿命为T4。当然也可以根据实际情况，划分更多不同环境下空调滤芯使用寿命试验。
步骤S10中的大数据收集法，即通过大数据收集，得出空调滤芯在不同环境质量下的工作寿命。该方法实施前提是：①车辆可以获得车外PM2.5数据(可以通过PM2.5传感器，也可以通过网络PM2.5数据等渠道)，并可以将相应数据上传至大数据后台；②车辆本身已具备滤芯更换提醒功能。一般车辆具备通过PM2.5传感器计算提醒滤芯更换的功能，基本上都能满足上述两个条件。该方式实施步骤如下：某车辆统计空调外循环模式下或内循环模式下(但门、窗开启情况下)在不同环境质量下的空调工作时间。例如：车辆提示滤芯更换时，空调在外循环模式或内循环模式下(但门、窗开启情况下)，在环境为PM2.5＜75累计工作时间t1 ’；在环境为75≤PM2.5＜150累计工作时间t2 ’；在环境为150≤PM2.5＜250累计工作时间t3 ’；在环境为250≤PM2.5累计工作时间t4 ’；车辆将这些数据上传至大数据后台，通过多辆车数据收集，结合下述公式进行大数据处理计算：
t1 ’/T1+t2 ’/T2+t3 ’/T3+t4 ’/T4＝1
可以得出PM2.5＜75滤芯寿命T1；75≤PM2.5＜150滤芯寿命T2；150≤PM2.5＜250滤芯寿命T3；250≤PM2.5滤芯寿命为T4。当然也可以根据实际情 况，划分更多不同环境下空调滤芯使用寿命。
S20、车辆上电后，空调控制器通过环境气候大数据平台、车联网通信平台、TBOX获得环境PM2.5值。
S30、空调控制器通过硬线判断鼓风机开启状态，如果鼓风机的状态为开启，则执行下一步骤S40，如果鼓风机的状态为关闭，则返回S20。
S40、空调控制器通过硬线判断内外循环电机状态，如果内外循环电机的状态为内循环模式，则执行步骤S41，如果内外循环电机的状态为外循环模式，则执行步骤S51。
S41、空调控制器通过CAN总线接受门、窗状态信号，如果门、窗状态均为关闭状态，则返回步骤S20，如果门、窗状态均为开启状态，则执行步骤S51。
S51、空调控制器确定空调滤芯在PM2.5＜75环境下的累计工作时间t1、在75≤PM2.5＜150环境下的累计工作时间t2、在150≤PM2.5＜250环境下的累计工作时间t3、在PM2.5≥250环境下的累计工作时间t4。
S52、空调控制器计算公式t1/T1+t2/T2+t3/T3+t4/T4的和值，将和值与1进行比较，如果和值大于或者等于1，则判断空调滤芯满足更换条件，如果和值小于1，则判断空调滤芯不满足更换条件，重新执行步骤S10对空调滤芯进行监测。
S60、音响发出提醒更换空调滤芯的提示音。
本发明实施例中，通过基于网络PM2.5大数据空调滤芯更换提醒的算法，根据空调滤芯在不同PM2.5环境下使用寿命不同，通过统计不同PM2.5环境下的累计工作时间等，计算出空调滤芯是否需要更换，及时提醒用户更换滤芯，保证车内空气净化效果。这样，可以实现在不增加额外传感器的基础上，通过网络获取车外PM2.5环境数据，实现空调滤芯的更换提醒。
本领域普通技术人员可以理解实现上述实施例的全部或部分步骤可以通过硬件来完成，也可以通过程序来指令相关的硬件完成，所述的程序可以存储于一种计算机可读存储介质中，上述提到的存储介质可以是只读存储器，磁盘或光盘等。
以上所述仅为本发明的较佳实施例，并不用以限制本发明，凡在本发明的精神和原则之内，所作的任何修改、等同替换、改进等，均应包含在本发明的保护范围之内。

Claims (10)

  1. 一种基于环境PM2.5的汽车空调滤芯的更换提醒方法，其特征在于，所述方法由基于环境PM2.5的汽车空调滤芯的更换提醒系统实现，所述系统包括环境气候大数据平台、车联网通信平台、TBOX、空调控制器、音响、空调器，所述空调器包括鼓风机、内外循环模式电机、空调滤芯；所述方法包括：
    S10、空调控制器通过试验法或者大数据收集法确认空调滤芯的使用寿命；
    S20、车辆上电后，空调控制器通过环境气候大数据平台、车联网通信平台、TBOX获得环境PM2.5值；
    S30、空调控制器通过硬线判断鼓风机开启状态，如果鼓风机的状态为开启，则执行下一步骤S40，如果鼓风机的状态为关闭，则返回S20；
    S40、空调控制器通过硬线判断内外循环电机状态，如果内外循环电机的状态为内循环模式，则执行步骤S41，如果内外循环电机的状态为外循环模式，则执行步骤S50；
    S41、空调控制器通过CAN总线接受门、窗状态信号，如果门、窗状态均为关闭状态，则返回步骤S20，如果门、窗状态均为开启状态，则执行步骤S50；
    S50、空调控制器确定空调滤芯在不同的环境PM2.5值下的累计工作时间、以及空调滤芯在不同的环境PM2.5值下的使用寿命，进而判断空调滤芯是否满足更换条件。
  2. 根据权利要求1所述的方法，其特征在于，所述S10中的空调控制器通过试验法或者大数据收集法确认空调滤芯的使用寿命，包括：
    将空调滤芯在不同环境下状态下开展相应试验，或者，通过对多辆车辆的数据收集，分别得出不同环境下空调滤芯使用寿命Tn。
  3. 根据权利要求1所述的方法，其特征在于，所述分别得出不同环境下空调滤芯使用寿命Tn，包括：
    将环境PM2.5＜75的环境确认为优良环境，确定空调滤芯的使用寿命为T1；
    将75≤PM2.5＜150的环境确认为轻度/中度污染环境，确定空调滤芯的使用寿命为T2；
    将150≤PM2.5＜250的环境确认为重度污染环境，确定空调滤芯的使用寿命为T3；
    将PM2.5≥250的环境确认为严重污染环境，确定空调滤芯的使用寿命为T4。
  4. 根据权利要求3所述的方法，其特征在于，所述S50中的空调控制器确定空调滤芯在不同的环境PM2.5值下的累计工作时间、以及空调滤芯在不同的环境PM2.5值下的使用寿命，进而判断空调滤芯是否满足更换条件，包括：
    S51、空调控制器确定空调滤芯在PM2.5＜75环境下的累计工作时间t1、在75≤PM2.5＜150环境下的累计工作时间t2、在150≤PM2.5＜250环境下的累计工作时间t3、在PM2.5≥250环境下的累计工作时间t4；
    S52、空调控制器计算公式t1/T1+t2/T2+t3/T3+t4/T4的和值，将所述和值与1进行比较，如果所述和值大于或者等于1，则判断空调滤芯满足更换条件，如果所述和值小于1，则判断空调滤芯不满足更换条件。
  5. 根据权利要求4所述的方法，其特征在于，所述S52中判断空调滤芯满足更换条件之后，所述方法还包括：
    所述音响发出提醒更换空调滤芯的提示音。
  6. 一种基于环境PM2.5的汽车空调滤芯的更换提醒系统，其特征在于，所述系统用于实现一种基于环境PM2.5的汽车空调滤芯的更换提醒方法，所述系统包括环境气候大数据平台、车联网通信平台、TBOX、空调控制器、音响、空调器；其中，
    环境气候大数据平台，用于为车辆提供车外和车辆所在区域范围的空气质量实时监测服务，帮助车主及时掌握周边的环境情况；
    车联网通信平台，用于和环境气候大数据平台建立通讯，获取车外和车辆所在区域范围的空气质量信息，并将空气质量信息发送给TBOX；
    TBOX，用于与空调控制器130通过CAN通讯，将从车联网通信平台110获取车外和车辆所在区域范围的空气质量信息发送给空调控制器；
    空调控制器，用于统计在不同空气质量环境下空调累计工作时间，并判断空调滤芯是否需要更换；
    音响，用于与空调控制器通过CAN通讯，当空调滤芯需要更换时，提醒空调 滤芯更换；
    空调器，空调器包括鼓风机、内外循环模式电机、空调滤芯，内外循环模式电机和鼓风机与空调控制器通过硬线连接，可以反馈出空调工作循环模式以及鼓风机开启状态。
  7. 根据权利要求6所述的系统，其特征在于，所述空调控制器，进一步用于：
    通过环境气候大数据平台、车联网通信平台、TBOX获得环境PM2.5值；通过硬线判断鼓风机开启状态；判断内外循环电机状态；通过CAN总线接受门、窗状态信号；确定空调滤芯在不同的环境PM2.5值下的累计工作时间、以及空调滤芯在不同的环境PM2.5值下的使用寿命，进而判断空调滤芯是否满足更换条件。
  8. 根据权利要求7所述的系统，其特征在于，所述空调控制器，进一步用于：
    将空调滤芯在不同环境下状态下开展相应试验，或者，通过对多辆车辆的数据收集，分别得出不同环境下空调滤芯使用寿命Tn
  9. 根据权利要求8所述的系统，其特征在于，所述空调控制器，进一步用于：
    将环境PM2.5＜75的环境确认为优良环境，确定空调滤芯的使用寿命为T1；
    将75≤PM2.5＜150的环境确认为轻度/中度污染环境，确定空调滤芯的使用寿命为T2；
    将150≤PM2.5＜250的环境确认为重度污染环境，确定空调滤芯的使用寿命为T3；
    将PM2.5≥250的环境确认为严重污染环境，确定空调滤芯的使用寿命为T4。
  10. 根据权利要求9所述的系统，其特征在于，所述空调控制器，进一步用于：
    S51、空调控制器确定空调滤芯在PM2.5＜75环境下的累计工作时间t1、在75≤PM2.5＜150环境下的累计工作时间t2、在150≤PM2.5＜250环境下的累计工作时间t3、在PM2.5≥250环境下的累计工作时间t4；
    S52、空调控制器计算公式t1/T1+t2/T2+t3/T3+t4/T4的和值，将所述和值与1进行比较，如果所述和值大于或者等于1，则判断空调滤芯满足更换条件， 如果所述和值小于1，则判断空调滤芯不满足更换条件。
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Publication number Priority date Publication date Assignee Title
CN113415129B (zh) * 2021-07-02 2022-05-31 一汽奔腾轿车有限公司 一种基于环境pm2.5的汽车空调滤芯的更换提醒方法及系统
CN114103601A (zh) * 2021-11-12 2022-03-01 阿维塔科技(重庆)有限公司 基于车辆的空调滤清器性能提示方法、系统及存储介质
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Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2015079753A1 (ja) * 2013-11-27 2015-06-04 シャープ株式会社 車両用空気清浄装置
CN108662720A (zh) * 2018-04-18 2018-10-16 四川斐讯信息技术有限公司 一种智能空气净化器的滤芯替换提醒方法及装置
CN109406132A (zh) * 2018-12-24 2019-03-01 广东美的制冷设备有限公司 滤芯寿命监测方法、装置和空气净化设备
CN109484137A (zh) * 2018-11-30 2019-03-19 重庆长安汽车股份有限公司 一种汽车空调滤芯更换提醒系统和方法
CN112046254A (zh) * 2020-08-10 2020-12-08 浙江联控技术有限公司 一种车用空调滤芯状态确定方法、装置及系统
CN112937246A (zh) * 2021-03-11 2021-06-11 东风汽车集团股份有限公司 一种车内空气质量的控制方法及系统
CN113415129A (zh) * 2021-07-02 2021-09-21 一汽奔腾轿车有限公司 一种基于环境pm2.5的汽车空调滤芯的更换提醒方法及系统

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8182579B2 (en) * 2008-07-02 2012-05-22 Woongjin Coway Co., Ltd. System and method for determining air purifier filter change time using measurement of motor speed
CN107054014B (zh) * 2017-02-28 2019-12-06 上海蔚来汽车有限公司 汽车空调滤网使用寿命的检测方法和装置
CN107415632A (zh) * 2017-06-29 2017-12-01 上海思致汽车工程技术有限公司 一种用于计算空调滤清器使用寿命的系统及其计算方法
CN109532384B (zh) * 2018-10-15 2022-03-08 3M创新有限公司 汽车空调滤网的使用寿命检测方法和设备、存储介质

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2015079753A1 (ja) * 2013-11-27 2015-06-04 シャープ株式会社 車両用空気清浄装置
CN108662720A (zh) * 2018-04-18 2018-10-16 四川斐讯信息技术有限公司 一种智能空气净化器的滤芯替换提醒方法及装置
CN109484137A (zh) * 2018-11-30 2019-03-19 重庆长安汽车股份有限公司 一种汽车空调滤芯更换提醒系统和方法
CN109406132A (zh) * 2018-12-24 2019-03-01 广东美的制冷设备有限公司 滤芯寿命监测方法、装置和空气净化设备
CN112046254A (zh) * 2020-08-10 2020-12-08 浙江联控技术有限公司 一种车用空调滤芯状态确定方法、装置及系统
CN112937246A (zh) * 2021-03-11 2021-06-11 东风汽车集团股份有限公司 一种车内空气质量的控制方法及系统
CN113415129A (zh) * 2021-07-02 2021-09-21 一汽奔腾轿车有限公司 一种基于环境pm2.5的汽车空调滤芯的更换提醒方法及系统

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