WO2023088262A1 - 网联交互空调调节方法、装置和电子设备 - Google Patents

网联交互空调调节方法、装置和电子设备 Download PDF

Info

Publication number
WO2023088262A1
WO2023088262A1 PCT/CN2022/132052 CN2022132052W WO2023088262A1 WO 2023088262 A1 WO2023088262 A1 WO 2023088262A1 CN 2022132052 W CN2022132052 W CN 2022132052W WO 2023088262 A1 WO2023088262 A1 WO 2023088262A1
Authority
WO
WIPO (PCT)
Prior art keywords
defogging
information
vehicle
speed
air
Prior art date
Application number
PCT/CN2022/132052
Other languages
English (en)
French (fr)
Inventor
郑鑫
胡忠辉
Original Assignee
长城汽车股份有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 长城汽车股份有限公司 filed Critical 长城汽车股份有限公司
Publication of WO2023088262A1 publication Critical patent/WO2023088262A1/zh

Links

Images

Classifications

    • 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
    • B60H1/00—Heating, cooling or ventilating [HVAC] devices
    • B60H1/00642—Control systems or circuits; Control members or indication devices for heating, cooling or ventilating devices
    • B60H1/00735—Control systems or circuits characterised by their input, i.e. by the detection, measurement or calculation of particular conditions, e.g. signal treatment, dynamic models
    • 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
    • B60H1/00—Heating, cooling or ventilating [HVAC] devices
    • B60H1/00642—Control systems or circuits; Control members or indication devices for heating, cooling or ventilating devices
    • B60H1/00735—Control systems or circuits characterised by their input, i.e. by the detection, measurement or calculation of particular conditions, e.g. signal treatment, dynamic models
    • B60H1/00785—Control systems or circuits characterised by their input, i.e. by the detection, measurement or calculation of particular conditions, e.g. signal treatment, dynamic models by the detection of humidity or frost
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60S—SERVICING, CLEANING, REPAIRING, SUPPORTING, LIFTING, OR MANOEUVRING OF VEHICLES, NOT OTHERWISE PROVIDED FOR
    • B60S1/00—Cleaning of vehicles
    • B60S1/02—Cleaning windscreens, windows or optical devices
    • B60S1/023—Cleaning windscreens, windows or optical devices including defroster or demisting means

Definitions

  • the present invention relates to the field of automobiles, in particular to a network-connected interactive air-conditioning adjustment method, device and electronic equipment.
  • the driver usually prepares a towel in advance and manually wipes the front windshield when there is fog, so as to achieve the purpose of quick removal.
  • a towel in advance and manually wipes the front windshield when there is fog, so as to achieve the purpose of quick removal.
  • it is difficult to operate when there is fog, which poses a greater safety hazard. This is difficult for beginners in vehicle driving.
  • the embodiment of the present invention also includes a network-connected interactive air-conditioning adjustment method, which is applied to a cloud server, including:
  • defogging parameter information data analysis is performed to obtain benchmark information, and the benchmark information is determined based on the air-conditioning parameters of the vehicle within the preset range where the target demand vehicle is located;
  • the benchmark information is sent to the target demand vehicle, so that the target demand vehicle adjusts the vehicle air conditioner parameters according to the benchmark information.
  • the demisting parameter information includes initial air-conditioning parameters, demisting time and defogging speed
  • the data analysis is performed according to the defogging parameter information
  • Obtaining benchmark information the determination of the benchmark information based on the air-conditioning parameters of the vehicle within the preset range where the target demand vehicle is located includes: analyzing the defogging time and the defogging speed to obtain the distribution interval of the defogging speed; In the fog speed distribution interval, the initial air-conditioning parameters in the demisting speed distribution interval are analyzed to determine the benchmark information.
  • the analysis of the defogging time and the defogging speed to obtain the distribution interval of the defogging speed includes: analyzing the defogging time and the defogging speed The defogging speed is normally distributed to obtain a normal distribution result; according to the normal distribution result, the distribution interval of the defogging speed within a preset range is determined as the defogging speed distribution interval.
  • the network-linked interactive air-conditioning adjustment method before sending the benchmark information to the target demand vehicle, it further includes: receiving uploaded surrounding environment weather information; , determining that vehicles in the same environmental weather and in the same area are the target demand vehicles, wherein the same area is an area within a preset distance.
  • the embodiment of the present invention also includes a network-connected interactive air-conditioning adjustment device, which is applied to a cloud server, including:
  • the receiving module is used to receive the defogging parameter information uploaded by the vehicle;
  • An analysis module configured to perform data analysis according to the defogging parameter information to obtain benchmark information, and the benchmark information is determined based on the air-conditioning parameters of the vehicle within the preset range where the target vehicle is located;
  • a sending module configured to send the benchmark information to the target demand vehicle, so that the target demand vehicle adjusts the vehicle air conditioner parameters according to the benchmark information.
  • the receiving module includes:
  • the first receiving submodule is used to receive the defogging parameter information uploaded by the vehicle, wherein the defogging parameter information includes initial air conditioning parameters, defogging time and defogging speed; the second receiving submodule is used to receive the vehicle The uploaded surrounding environment weather information.
  • the sending module includes:
  • the confirmation submodule is used to determine the same environmental weather and the vehicle in the same area as the target demand vehicle according to the surrounding environmental weather information, wherein the same area is an area within a preset distance; the sending submodule uses Then, the benchmark information is sent to the target demand vehicle, so that the target demand vehicle adjusts the vehicle air conditioner parameters according to the benchmark information.
  • the analysis module includes:
  • the first analysis submodule is used to analyze the defogging time and the demisting speed to obtain the distribution interval of the defogging speed; the second analysis submodule is used to analyze the demisting speed distribution interval according to the The initial air-conditioning parameters in the demisting speed distribution interval are analyzed to determine the benchmark information.
  • the first analysis submodule includes:
  • the first analyzing unit is used to perform normal distribution on the defogging time and the defogging speed to obtain a normal distribution result; the second analyzing unit is used to determine the defogging according to the normal distribution result
  • the distribution interval of the speed within the preset range is the distribution interval of the defogging speed.
  • the embodiment of the present invention also includes an electronic device, including:
  • the memory stores instructions executable by the at least one processor, the instructions are executed by the at least one processor to enable the at least one processor to perform the method.
  • the present invention receives uploaded defogging parameter information, performs data analysis according to the defogging parameter information, and obtains benchmark information.
  • the target demand vehicle is sent to the target demand vehicle, so that the target demand vehicle adjusts the vehicle air conditioner parameters according to the benchmark information.
  • the vehicle with the target demand can realize the reasonable setting of the vehicle air conditioner, which improves the driving comfort and driving safety of the user.
  • Fig. 1 is a flow chart 1 of a network-connected interactive air-conditioning adjustment method provided by an embodiment of the present invention
  • Fig. 2 is the second flow chart of a network-connected interactive air-conditioning adjustment method provided by an embodiment of the present invention
  • Fig. 3 is a third flowchart of a network-connected interactive air-conditioning adjustment method provided by an embodiment of the present invention.
  • Fig. 4 is a flow chart 4 of a network-connected interactive air-conditioning adjustment method provided by an embodiment of the present invention.
  • Fig. 5 is a schematic structural diagram of a network-linked interactive air-conditioning adjustment device provided by an embodiment of the present invention.
  • FIG. 6 is a schematic structural diagram of the receiving module 201 provided in FIG. 5;
  • FIG. 7 is a schematic structural diagram of the analysis module 202 provided in FIG. 5;
  • FIG. 8 is a schematic structural diagram of the first analysis submodule 2021 provided in FIG. 7;
  • FIG. 9 is a schematic structural diagram of the sending module 203 provided in FIG. 5;
  • FIG. 10 is a schematic structural diagram of a 5G network device provided by an embodiment of the present invention.
  • Fig. 11 is a schematic structural diagram of an electronic device provided by an embodiment of the present invention.
  • Fig. 12 is a block diagram of a computing processing device for executing the method according to the present application provided by an embodiment of the present invention.
  • Fig. 13 is a storage unit provided by an embodiment of the present invention for holding or carrying program codes for realizing the method according to the present application.
  • One embodiment of the present invention relates to a network-connected interactive air-conditioning adjustment method, which is applied to a cloud server, and its process is shown in Figure 1, including:
  • the defogging parameter information includes: initial air conditioning parameters, defogging time and defogging speed.
  • the initial air conditioner parameters are the air conditioner parameters when uploaded for the first time, which may be the default parameters of the air conditioner, or the air conditioner parameters manually set by the user.
  • the defogging time and defogging speed are the time and speed of defogging the windows under the current air-conditioning parameters of the vehicle.
  • the defogging parameter information may also include other data in the actual use process, and details will not be repeated here.
  • S102 Perform data analysis according to the defogging parameter information to obtain benchmark information, and the benchmark information is determined based on air-conditioning parameters of vehicles within a preset range where the target vehicle is located.
  • defogging parameter information According to the received and uploaded defogging parameter information, data analysis and calculation is performed on the defogging parameter information to obtain the best air-conditioning parameter scheme in the current area, that is, benchmark information. And store the benchmarking information, and apply it at the same time, so that it is convenient to call when a similar situation occurs again. See the next embodiment for the specific data analysis process, and details will not be repeated here.
  • S103 Send the benchmark information to the target demand vehicle, so that the target demand vehicle adjusts the vehicle air conditioner parameters according to the benchmark information.
  • the surrounding environmental weather information determine the same environmental weather, vehicles in the same area and vehicles of the same brand as target demand vehicles, wherein the same area is within a preset distance, and the surrounding environmental weather information includes positioning information, real-time weather forecast information and Information obtained from weather information collected by the vehicle.
  • the weather information collected by the vehicle and the specific content of the step of confirming the target demand vehicle can be found later, and will not be repeated here.
  • the uploaded defogging parameter information is received, and data analysis is performed according to the defogging parameter information to obtain benchmark information.
  • the information is sent to the target demand vehicle, so that the target demand vehicle adjusts the vehicle air conditioner parameters according to the benchmark information.
  • the vehicle with the target demand can realize the reasonable setting of the vehicle air conditioner, which improves the driving comfort and driving safety of the user.
  • One embodiment of the present invention relates to a network-connected interactive air-conditioning adjustment method, which is applied to a cloud server, and its process is shown in Figure 2, including:
  • S1011 Receive uploaded defogging parameter information, wherein the defogging parameter information includes initial air conditioning parameters, defogging time, and defogging speed.
  • the defogging parameter information includes: initial air conditioning parameters, defogging time and defogging speed.
  • the initial air conditioner parameters are the air conditioner parameters when uploaded for the first time, which may be the default parameters of the air conditioner, or the air conditioner parameters manually set by the user.
  • the defogging time and defogging speed are the time and speed of defogging the windows under the current air-conditioning parameters of the vehicle.
  • the defogging parameter information may also include other data in the actual use process, and details will not be repeated here.
  • S1021 Analyze the defogging time and the defogging speed to obtain a distribution interval of the defogging speed.
  • the cloud server performs normal distribution of defogging time and defogging speed according to big data.
  • the purpose of normal distribution is to remove abnormal information or extreme information, select reasonable data information, and provide more accurate data for subsequent data analysis.
  • the air-conditioning setting information in the distribution interval of the defogging speed within the preset range is screened out as the initial air-conditioning parameter information for the analysis to provide data for subsequent analysis and calculation of benchmark information.
  • S1022 According to the demisting speed distribution interval, analyze the initial air-conditioning parameters in the demisting speed distribution interval, and determine the benchmark information.
  • variance analysis is performed to determine the benchmark information and store the benchmark information.
  • variance analysis is performed on the initial air-conditioning parameters in the distribution interval of the defogging speed to filter out the air-conditioning setting information of the distribution interval of the defogging speed within the preset range, and then Perform variance analysis on the air-conditioning setting information to obtain the optimal air-conditioning setting information as the benchmark information, and store the obtained benchmark information, while applying it at the moment, it is convenient to call when a similar situation occurs again.
  • S103 Send the benchmark information to the target demand vehicle, so that the target demand vehicle adjusts the vehicle air conditioner parameters according to the benchmark information.
  • the cloud server After the cloud server receives the surrounding environment weather information uploaded by the vehicle in the demand area (the same environment weather and the same area within the preset distance from the car), according to the surrounding environment weather information, determine the same environment weather, the same area Vehicles within the same brand as well as vehicles of the same brand are the target demand vehicles. Please refer to the following text for the specific content of confirmed demand vehicles, so I won’t go into details here.
  • the surrounding environmental weather information includes positioning information, real-time weather forecast information, and weather information collected by vehicles.
  • Positioning information includes high-precision map positioning and GNSS chip precise positioning.
  • the high-precision map positioning can complement the surrounding map of the vehicle, and the GNSS chip can realize the precise positioning of the vehicle itself. Under the double guarantee, the purpose of more accurate vehicle positioning can be achieved.
  • This embodiment further explains the data analysis of the previous embodiment, illustrates the calculation process of the benchmark information, and refines the description of the steps.
  • One embodiment of the present invention relates to a network-connected interactive air-conditioning adjustment method, which is applied to a cloud server, and its process is shown in Figure 3, including:
  • S1011 Receive uploaded defogging parameter information, wherein the defogging parameter information includes initial air conditioning parameters, defogging time, and defogging speed.
  • the defogging parameter information includes: initial air conditioning parameters, defogging time and defogging speed.
  • the initial air conditioner parameters are the air conditioner parameters when uploaded for the first time, which may be the default parameters of the air conditioner, or the air conditioner parameters manually set by the user.
  • the defogging time and defogging speed are the time and speed of defogging the windows under the current air-conditioning parameters of the vehicle.
  • the defogging parameter information may also include other data in the actual use process, and details will not be repeated here.
  • S10211 Perform a normal distribution on the defogging time and the defogging speed to obtain a normal distribution result.
  • the cloud server performs normal distribution of defogging time and defogging speed according to big data.
  • the purpose of normal distribution is to remove abnormal information or extreme information, select reasonable data information, and provide more accurate data for subsequent data analysis.
  • the screening of data by normal distribution is based on big data, and screening according to the distribution range can screen data more quickly and effectively.
  • the extreme data and abnormal data at both ends are excluded, and a reasonable range is selected to filter out the air-conditioning setting information in the distribution interval of the defogging speed within the preset range as required.
  • the initial air-conditioning parameter information of the analysis provides data for subsequent analysis and calculation of benchmark information.
  • S1022 According to the demisting speed distribution interval, analyze the initial air-conditioning parameters in the demisting speed distribution interval, and determine the benchmark information.
  • variance analysis is performed to determine the benchmark information and store the benchmark information.
  • variance analysis is performed on the initial air-conditioning parameters in the distribution interval of the defogging speed to filter out the air-conditioning setting information of the distribution interval of the defogging speed within the preset range, and then Perform variance analysis on the air-conditioning setting information to obtain the optimal air-conditioning setting information as the benchmark information, and store the obtained benchmark information, while applying it at the moment, it is convenient to call when a similar situation occurs again.
  • S103 Send the benchmark information to the target demand vehicle, so that the target demand vehicle adjusts the vehicle air conditioner parameters according to the benchmark information.
  • the cloud server After the cloud server receives the surrounding environment weather information uploaded by the vehicle in the demand area (the same environment weather and the same area within the preset distance from the car), according to the surrounding environment weather information, determine the same environment weather, the same area Vehicles within the same brand as well as vehicles of the same brand are the target demand vehicles. Please refer to the following text for the specific content of confirmed demand vehicles, so I won’t go into details here.
  • the surrounding environmental weather information includes positioning information, real-time weather forecast information, and weather information collected by vehicles.
  • Positioning information includes high-precision map positioning and GNSS chip precise positioning.
  • the high-precision map positioning can complement the surrounding map of the vehicle, and the GNSS chip can realize the precise positioning of the vehicle itself. Under the double guarantee, the purpose of more accurate vehicle positioning can be achieved.
  • This embodiment further explains the data analysis of the previous embodiment, explains the analysis and calculation process of the demisting speed distribution interval, and refines the step description.
  • One embodiment of the present invention relates to a network-connected interactive air-conditioning adjustment method, which is applied to a cloud server, and its process is shown in Figure 4, including:
  • the defogging parameter information includes: initial air conditioning parameters, defogging time and defogging speed.
  • the initial air conditioner parameters are the air conditioner parameters when uploaded for the first time, which may be the default parameters of the air conditioner, or the air conditioner parameters manually set by the user.
  • the defogging time and defogging speed are the time and speed of defogging the windows under the current air-conditioning parameters of the vehicle.
  • the defogging parameter information may also include other data in the actual use process, and details will not be repeated here.
  • S102 Perform data analysis according to the initial air-conditioning parameters, defogging time, and defogging speed to obtain benchmark information, and the benchmark information is determined based on the air-conditioning parameters of vehicles within a preset range where the target vehicle is located.
  • defogging parameter information According to the received and uploaded defogging parameter information, data analysis and calculation is performed on the defogging parameter information to obtain the best air-conditioning parameter scheme in the current area, that is, benchmark information. And store the benchmarking information, and apply it at the same time, so that it is convenient to call when a similar situation occurs again. See the next embodiment for the specific data analysis process, and details will not be repeated here.
  • the surrounding environment weather information includes positioning information, real-time weather forecast and weather information collected by vehicles.
  • Positioning information includes high-precision map positioning and GNSS chip precise positioning. The high-precision map positioning can complement the surrounding map of the vehicle, and the GNSS chip can realize the precise positioning of the vehicle itself. Under the double guarantee, the purpose of more accurate vehicle positioning can be achieved.
  • the specific content of the weather information collected by the vehicle please refer to the following text, and will not go into details here.
  • S105 According to the surrounding environmental weather information, determine that the vehicle in the same environmental weather and in the same area is the target demand vehicle, wherein the same area is an area within a preset distance.
  • S103 Send the benchmark information to the target demand vehicle, so that the target demand vehicle adjusts the vehicle air conditioner parameters according to the benchmark information.
  • the surrounding environment weather information determine the same environment weather, in the same area and the vehicle of the same brand vehicle as the target demand vehicle.
  • the surrounding environmental weather information includes positioning information, real-time weather forecast information, and weather information collected by vehicles.
  • Positioning information includes high-precision map positioning and GNSS chip precise positioning.
  • the high-precision map positioning can complement the surrounding map of the vehicle, and the GNSS chip can realize the precise positioning of the vehicle itself. Under the double guarantee, the purpose of more accurate vehicle positioning can be achieved.
  • the weather information collected by the vehicle includes illumination (50-500lux (lux) is cloudy, 100-1000lux is sunny, night: 0.001-0.02lux, summer noon sunlight reaches more than 10000), water volume (through rainfall Sensor, that is, when the glass is dry, the light will be totally reflected, and will be received by the receiver in a parallel light state through the lens system.
  • illumination 50-500lux (lux) is cloudy, 100-1000lux is sunny, night: 0.001-0.02lux
  • water volume through rainfall Sensor, that is, when the glass is dry, the light will be totally reflected, and will be received by the receiver in a parallel light state through the lens system.
  • Partial reflection occurs in the size of the water droplet area.
  • the rain sensor can only receive part of the signal. Judging the amount of rain according to the percentage value. The total reflection angle of light entering the air from the glass.
  • the total reflection percentage of light passing through the glass is 100% (the total reflection angle is 42°) - no rain state, the total reflection angle of light passing through the glass is reduced to 80% (the total reflection angle is 62°) - rain state. 60% is moderate rain, 40% or less is heavy rain) to judge the surrounding of the vehicle ambient weather information.
  • the defogging parameter information data may also include other data in the actual use process, which will not be repeated here.
  • the data obtained by the on-board perception system including but not limited to the on-board rain and fog sensor on the vehicle, will detect the fogging of the vehicle. According to the resistance value of the rain and fog sensor, the level of fogging will be judged and fed back to the information memory, and then the defrosting signal will be sent through the ECU . After confirming that the user agrees that the vehicle-to-vehicle mutual assistance mode is turned on, according to the defrosting signal, assign different gears to the air-conditioning blower, and adjust the current air-conditioning parameters to the preset parameters.
  • the preset parameters are the default settings of the vehicle.
  • the air conditioner parameters are set by default in the vehicle-to-vehicle mutual assistance mode during fog.
  • the operation of the present invention to receive and send information requires the vehicle to turn on the vehicle-vehicle mutual assistance mode on the vehicle. Regarding whether the vehicle-vehicle mutual assistance mode is turned on, the user will be asked for permission. If the user needs it, the user can receive the cloud-pushed air conditioner through the button or the default setting reasonable settings. If the user does not need it, the function can also be directly turned off through the button or the default setting.
  • the rain and fog sensor judges the fog concentration according to the resistance value of the rain and fog sensor.
  • the concentration of fog can be defined: level 1 is mist and visible; level 2 is fog and visibility is severely reduced; level 3 is heavy fog and visibility is 0.
  • the rain and fog sensor detects that the defogging is completed, it will feed back to the information memory, and then send a defrosting completion signal through the ECU, and adjust the air-conditioning parameters back to the initial air-conditioning parameters before setting the air-conditioning as the preset parameters, so as to ensure the user's comfort.
  • the parameters set by the air conditioner include the external circulation of the air conditioner, the blower switch, the air volume of the blower, and the air outlet temperature of the air conditioner.
  • the present invention also relates to a 5G network device, as shown in Figure 10, including:
  • the 5G integrated front-end module composed of 5G module 301, integrated front-end module 302, and ANT_1304.
  • the 5G integrated front-end module composed of 5G module 301, integrated front-end module 302, and ANT_1304 has the characteristics of low delay, the air interface delay is less than 1 millisecond, and the service layer delay can also be controlled within 10 milliseconds.
  • This application adds a high-performance notch filter 303 on the basis of the 5G integrated front-end module, which improves the reliability and accuracy of the 5G network. For example, at the same vehicle speed of 120km/h, the braking distance caused by communication delay under 5G can be controlled within 33cm. 5G real-time high-precision positioning provides strong technical support for the present invention.
  • This embodiment adds an explanation about the steps of confirming the target demand vehicle, and details the specific content of the weather information collected by the vehicle, and further supplements and refines the technical solution.
  • FIG. 5 Another embodiment of the present invention relates to a network-connected interactive air-conditioning adjustment device, which is applied to a cloud server, as shown in Figure 5, including:
  • a receiving module 201 configured to receive uploaded defogging parameter information
  • the analysis module 202 is configured to perform data analysis on the defogging parameter information to obtain benchmark information, and the benchmark information is determined based on the air-conditioning parameters of the vehicle within the preset range where the target vehicle is located;
  • the sending module 203 is configured to send the benchmark information to the target demand vehicle, so that the target demand vehicle adjusts the vehicle air conditioner parameters according to the benchmark information.
  • the receiving module 201 includes:
  • the first receiving sub-module 2011 is configured to receive the uploaded defogging parameter information, wherein the defogging parameter information includes defogging time and defogging speed.
  • the second receiving sub-module 2012 is used for receiving the uploaded surrounding environment weather information.
  • the analysis module 202 includes:
  • the first analysis sub-module 2021 analyzes the defogging time and the defogging speed to obtain the distribution interval of the defogging speed.
  • the second analysis sub-module 2022 analyzes the air conditioner setting information in the defogging speed distribution range according to the defogging speed distribution range, and determines the benchmark information.
  • the first analysis submodule 2021 includes:
  • the first analysis unit 20211 is configured to perform normal distribution on the defogging time and the defogging speed to obtain a normal distribution result.
  • the second analysis unit 20212 is configured to determine the distribution interval of the defogging speed within a preset range as the distribution interval of the defogging speed according to the normal distribution result.
  • the sending module 203 includes:
  • the confirmation sub-module 2031 is configured to determine, according to the surrounding environmental weather information, that the vehicles in the same environmental weather and in the same area are the target demand vehicles, wherein the same area is an area within a preset distance.
  • the sending sub-module 2032 is configured to send the benchmark information to the target demand vehicle, so that the target demand vehicle adjusts the vehicle air conditioner parameters according to the benchmark information.
  • This embodiment relates to a specific implementation method of a device. For details, reference may be made to the method embodiments provided in the foregoing embodiments of the present invention, and details are not repeated here.
  • the device embodiments described above are only illustrative, and the units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in One place, or it can be distributed to multiple network elements. Part or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. It can be understood and implemented by those skilled in the art without any creative effort.
  • FIG. 11 Another embodiment of the present invention relates to an electronic device, as shown in FIG. 11 , including:
  • At least one processor 401 At least one processor 401
  • a memory 402 communicatively connected to the at least one processor 401;
  • the memory 402 stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor 401, so that the at least one processor 401 can execute the instructions described in the embodiments of the present invention. Methods.
  • the memory and the processor are connected by a bus
  • the bus may include any number of interconnected buses and bridges, and the bus connects one or more processors and various circuits of the memory together.
  • the bus may also connect together various other circuits such as peripherals, voltage regulators, and power management circuits, all of which are well known in the art and therefore will not be further described herein.
  • the bus interface provides an interface between the bus and the transceivers.
  • a transceiver may be a single element or multiple elements, such as multiple receivers and transmitters, providing means for communicating with various other devices over a transmission medium.
  • the data processed by the processor is transmitted on the wireless medium through the antenna, further, the antenna also receives the data and transmits the data to the processor.
  • the processor is responsible for managing the bus and general processing, and can also provide various functions, including timing, peripheral interface, voltage regulation, power management, and other control functions. Instead, memory can be used to store data that the processor uses when performing operations.
  • Embodiments of the present invention are described with reference to flowcharts and/or block diagrams of methods, terminal devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each procedure and/or block in the flowchart and/or block diagram, and a combination of procedures and/or blocks in the flowchart and/or block diagram can be realized by computer program instructions. These computer program instructions may be provided to a general purpose computer, special purpose computer, embedded processor or processor of other programmable data processing terminal equipment to produce a machine such that instructions executed by the computer or processor of other programmable data processing terminal equipment Produce means for realizing the functions specified in one or more procedures of the flowchart and/or one or more blocks of the block diagram.
  • These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing terminal to operate in a specific manner, such that the instructions stored in the computer-readable memory produce an article of manufacture comprising instruction means, the The instruction means implements the functions specified in one or more procedures of the flowchart and/or one or more blocks of the block diagram.
  • the various component embodiments of the present application may be implemented in hardware, or in software modules running on one or more processors, or in combination thereof.
  • a microprocessor or a digital signal processor (DSP) may be used in practice to implement some or all functions of some or all components in the computing processing device according to the embodiments of the present application.
  • DSP digital signal processor
  • the present application can also be implemented as an apparatus or apparatus program (eg, computer program and computer program product) for performing a part or all of the methods described herein.
  • Such a program implementing the present application may be stored on a computer-readable medium, or may be in the form of one or more signals.
  • Such a signal may be downloaded from an Internet site, or provided on a carrier signal, or provided in any other form.
  • Figure 12 illustrates a computing processing device that may implement methods according to the present application.
  • the computing processing device conventionally includes a processor 1010 and a computer program product or computer readable medium in the form of memory 1020 .
  • Memory 1020 may be electronic memory such as flash memory, EEPROM (Electrically Erasable Programmable Read Only Memory), EPROM, hard disk, or ROM.
  • the memory 1020 has a storage space 1030 for program code 1031 for performing any method steps in the methods described above.
  • the storage space 1030 for program codes may include respective program codes 1031 for respectively implementing various steps in the above methods. These program codes can be read from or written into one or more computer program products.
  • These computer program products comprise program code carriers such as hard disks, compact disks (CDs), memory cards or floppy disks.
  • Such a computer program product is typically a portable or fixed storage unit as described with reference to FIG. 13 .
  • the storage unit may have storage segments, storage spaces, etc. arranged similarly to the memory 1020 in the computing processing device of FIG. 13 .
  • the program code can eg be compressed in a suitable form.
  • the storage unit includes computer readable code 1031', i.e. code readable by, for example, a processor such as 1010, which code, when executed by a computing processing device, causes the computing processing device to perform the above-described methods. each step.
  • any reference signs placed between parentheses shall not be construed as limiting the claim.
  • the word “comprising” does not exclude the presence of elements or steps not listed in a claim.
  • the word “a” or “an” preceding an element does not exclude the presence of a plurality of such elements.
  • the application can be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In a unit claim enumerating several means, several of these means can be embodied by one and the same item of hardware.
  • the use of the words first, second, and third, etc. does not indicate any order. These words can be interpreted as names.

Landscapes

  • Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • Physics & Mathematics (AREA)
  • Thermal Sciences (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Air-Conditioning For Vehicles (AREA)

Abstract

一种网联交互空调调节方法、装置和电子设备，涉及汽车领域，包括接收上传的除雾参数信息，根据除雾参数信息，进行数据分析，得到标杆信息，标杆信息基于目标需求车辆所在预设范围内车辆的空调参数确定，将标杆信息发送给目标需求车辆，使目标需求车辆根据标杆信息对车载空调参数进行调整。接收上传的除雾参数信息，对除雾参数信息进行数据分析，得到合理的标杆信息并发送给目标需求车辆，以达到让目标需求车辆能够实现对车载空调的合理设置的目的。

Description

网联交互空调调节方法、装置和电子设备
本申请要求在2021年11月22日提交中国专利局、申请号为202111390195.1、发明名称为“网联交互空调调节方法、装置和电子设备”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
技术领域
本发明涉及汽车领域，特别涉及一种网联交互空调调节方法、装置和电子设备。
背景技术
大多数车辆都匹配了自动空调系统，但是很少人能够很好地设定车载自动空调的参数来保证舒适性。特别车辆驾驶的初学者对车辆还不熟悉，不会非常专业的去对空调进行设置。当车辆处于天气变化比较频繁、早晚温差较大的地方，在行车的过程中，很容易出现前风挡玻璃迅速起雾遮蔽驾驶员视线的情况，当空调设置为自动空调时候，空调不会切换到正确的循环模式和温度，即便能够跳转至除霜模式，也可能由于车辆设置是针对较正常天气下的起雾情况而不能应对突如其来的极端天气下的迅速起雾。如东北地区，会经常出现极端天气，出现温差骤变，导致驾驶过程中挡风玻璃快速起雾遮挡视线的情况，让车辆驾驶的初学者手忙脚乱，情绪紧张，容易造成交通事故，存在较大的安全隐患。
为解决上述问题，驾驶员通常提前准备好一条毛巾，当前风挡玻璃出现雾气时进行手动擦除，以达到快速去除的目的，但是这种处理方法，一旦在高速行驶过程中，或在城市路况下正常行驶过程中，出现雾气就难以实现操作，从而存在较大的安全隐患。这对于车辆驾驶的初学者来说，是难以处理的。
现有技术中在空调应对突发天气的设置和自动切换空调模式和温度方面，还没有效的方法来进行解决。
发明内容
鉴本发明实施例提供一种网联交互空调调节方法、装置和电子设备，能 够让所述目标需求车辆实现对车载空调的合理设置。
为了解决上述问题，第一方面，本发明实施例还包括一种网联交互空调调节方法，应用于云端服务器，包括：
接收上传的除雾参数信息；
根据所述除雾参数信息，进行数据分析，得到标杆信息，所述标杆信息基于目标需求车辆所在预设范围内车辆的空调参数确定；
将所述标杆信息发送给所述目标需求车辆，使所述目标需求车辆根据所述标杆信息对车载空调参数进行调整。
可选的，本发明实施方式提供的网联交互空调调节方法，所述除雾参数信息包括初始空调参数、除雾时间和除雾速度，所述根据所述除雾参数信息，进行数据分析，得到标杆信息，所述标杆信息基于目标需求车辆所在预设范围内车辆的空调参数确定包括：对所述除雾时间和所述除雾速度进行分析，得到除雾速度分布区间；根据所述除雾速度分布区间，对所述除雾速度分布区间内的所述初始空调参数进行分析，确定所述标杆信息。
可选的，本发明实施方式提供的网联交互空调调节方法，所述对所述除雾时间和所述除雾速度进行分析，得到除雾速度分布区间包括：对所述除雾时间和所述除雾速度进行正态分布，得到正态分布结果；根据所述正态分布结果，确定所述除雾速度在预设范围内的分布区间为除雾速度分布区间。
可选的，本发明实施方式提供的网联交互空调调节方法，所述将所述标杆信息发送给所述目标需求车辆前还包括：接收上传的周边环境天气信息；根据所述周边环境天气信息，确定相同环境天气以及相同区域内的车辆为所述目标需求车辆，其中，所述相同区域为预设距离内的区域。
第二方面，本发明实施例还包括一种网联交互空调调节装置，应用于云端服务器，包括：
接收模块，用于接收车辆上传的除雾参数信息；
分析模块，用于根据所述除雾参数信息，进行数据分析，得到标杆信息，所述标杆信息基于目标需求车辆所在预设范围内车辆的空调参数确定；
发送模块，用于将所述标杆信息发送给所述目标需求车辆，使所述目标需求车辆根据所述标杆信息对车载空调参数进行调整。
可选的，所述接收模块包括：
第一接收子模块，用于接收车辆上传的所述除雾参数信息，其中，所述除雾参数信息包括初始空调参数、除雾时间和除雾速度；第二接收子模块，用于接收车辆上传的周边环境天气信息。
可选的，所述发送模块包括：
确认子模块，用于根据所述周边环境天气信息，确定相同环境天气以及相同区域内的车辆为所述目标需求车辆，其中，所述相同区域为预设距离内的区域；发送子模块，用于将所述标杆信息发送给所述目标需求车辆，使所述目标需求车辆根据所述标杆信息对车载空调参数进行调整。
可选的，所述分析模块包括：
第一分析子模块，用于对所述除雾时间和所述除雾速度进行分析，得到除雾速度分布区间；第二分析子模块，用于根据所述除雾速度分布区间，对所述除雾速度分布区间内的初始空调参数进行分析，确定所述标杆信息。
可选的，所述第一分析子模块包括：
第一分析单元，用于对所述除雾时间和所述除雾速度进行正态分布，得到正态分布结果；第二分析单元，用于根据所述正态分布结果，确定所述除雾速度在预设范围内的分布区间为除雾速度分布区间。
第三方面，本发明实施例还包括一种电子设备，包括：
至少一个处理器；以及，
与所述至少一个处理器通信连接的存储器；其中，
所述存储器存储有可被所述至少一个处理器执行的指令，所述指令被所述至少一个处理器执行，以使所述至少一个处理器能够执行所述的方法。
本发明实施例包括以下优点：
本发明接收上传的除雾参数信息，根据所述除雾参数信息，进行数据分析，得到标杆信息，所述标杆信息基于目标需求车辆所在预设范围内车辆的空调参数确定，将所述标杆信息发送给所述目标需求车辆，使所述目标需求车辆根据所述标杆信息对车载空调参数进行调整。让所述目标需求车辆能够实现对车载空调的合理设置，提高了用户驾驶的舒适性和驾驶的安全性。
上述说明仅是本发明技术方案的概述，为了能够更清楚了解本发明的技 术手段，而可依照说明书的内容予以实施，并且为了让本发明的上述和其它目的、特征和优点能够更明显易懂，以下特举本发明的具体实施方式。
附图说明
为了更清楚地说明本申请实施例或现有技术中的技术方案，下面将对实施例或现有技术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申请的一些实施例，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网联交互空调调节方法流程图一；
图2是本发明实施例提供的一种网联交互空调调节方法流程图二；
图3是本发明实施例提供的一种网联交互空调调节方法流程图三；
图4是本发明实施例提供的一种网联交互空调调节方法流程图四；
图5是本发明实施例提供的一种网联交互空调调节装置结构示意图；
图6是图5提供的接收模块201结构示意图；
图7是图5提供的分析模块202结构示意图；
图8是图7提供的第一分析子模块2021结构示意图；
图9是图5提供发送模块203的结构示意图；
图10是本发明实施例提供的一种5G网络装置结构示意图；
图11是本发明实施例提供的电子设备结构示意图；
图12是本发明实施例提供的用于执行根据本申请的方法的计算处理设备的框图；
图13是本发明实施例提供的用于保持或者携带实现根据本申请的方法的程序代码的存储单元。
具体实施例
下面将参照附图更详细地描述本发明的示例性实施例。虽然附图中显示了本发明的示例性实施例，然而应当理解，可以以各种形式实现本发明而不应被这里阐述的实施例所限制。相反，提供这些实施例是为了能够更透彻地理解本发明，并且能够将本发明的范围完整的传达给本领域的技术人员。
下面结合附图，通过具体的实施例及其应用场景对本申请实施例提供的 网联交互空调调节方法、装置和电子设备进行详细地说明。
为使本申请实施例的目的、技术方案和优点更加清楚，下面将结合本申请实施例中的附图，对本申请实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例仅仅是本申请一部分实施例，而不是全部的实施例。基于本申请中的实施例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例，都属于本申请保护的范围。
本发明的一个实施方式涉及一种网联交互空调调节方法，应用于云端服务器，其流程如图1所示，包括：
S101：接收上传的除雾参数信息。
接收上传的除雾参数信息，用于后续步骤的分析计算。所述除雾参数信息包括：初始空调参数、除雾时间和除雾速度。
需要说明的是，初始空调参数为初次上传时的空调参数，可以是空调默认参数，也可以是用户手动设置的空调参数等。除雾时间和除雾速度为车辆当前空调参数下对车窗除雾的时间和速度。当然，以上仅为具体的举例说明，在实际的使用过程中除雾参数信息还可以包括其他数据，此处不做一一赘述。
S102：根据所述除雾参数信息，进行数据分析，得到标杆信息，所述标杆信息基于目标需求车辆所在预设范围内车辆的空调参数确定。
本实施例中，根据接收到的上传的除雾参数信息，对所述除雾参数信息进行数据的分析计算，得到当前区域内，最佳的空调参数方案，即，标杆信息。并对标杆信息进行存储，应用在当下的同时，方便当再次出现相似情况时进行调用。具体数据分析过程见下一实施例，此处不再一一赘述。
S103：将所述标杆信息发送给所述目标需求车辆，使所述目标需求车辆根据所述标杆信息对车载空调参数进行调整。
根据周边环境天气信息，确定相同环境天气、相同区域内以及同品牌车辆的车辆为目标需求车辆，其中，所述相同区域为预设距离内，周边环境天气信息包括定位信息、实时天气预报信息以及车辆收集的天气信息获取的信息。车辆收集的天气信息以及确认目标需求车辆步骤的具体内容参见后文，此处不再一一赘述。
本实施方式接收上传的除雾参数信息，根据所述除雾参数信息，进行数 据分析，得到标杆信息，所述标杆信息基于目标需求车辆所在预设范围内车辆的空调参数确定，将所述标杆信息发送给目标需求车辆，使所述目标需求车辆根据所述标杆信息对车载空调参数进行调整。让所述目标需求车辆能够实现对车载空调的合理设置，提高了用户驾驶的舒适性和驾驶的安全性。
本发明的一个实施方式涉及一种网联交互空调调节方法，应用于云端服务器，其流程如图2所示，包括：
S1011：接收上传的除雾参数信息，其中，所述除雾参数信息包括初始空调参数、除雾时间和除雾速度。
接收上传的除雾参数信息，用于后续步骤的分析计算。所述除雾参数信息包括：初始空调参数、除雾时间和除雾速度。
需要说明的是，初始空调参数为初次上传时的空调参数，可以是空调默认参数，也可以是用户手动设置的空调参数等。除雾时间和除雾速度为车辆当前空调参数下对车窗除雾的时间和速度。当然，以上仅为具体的举例说明，在实际的使用过程中除雾参数信息还可以包括其他数据，此处不做一一赘述。
S1021：对所述除雾时间和所述除雾速度进行分析，得到除雾速度分布区间。
云端服务器根据大数据进行除雾时间与除雾速度的正态分布，正态分布的目的是去除异常信息或极端信息，选择合理的数据信息，为后面的数据分析提供更加准确的数据。
进一步地，筛选出除雾速度在预设范围内的分布区间的空调设置信息作为需要进行的分析的初始空调参数信息，为后续分析计算标杆信息提供数据。
S1022：根据所述除雾速度分布区间，对所述除雾速度分布区间内的所述初始空调参数进行分析，确定所述标杆信息。
根据所述除雾速度分布区间，进行方差分析，确定所述标杆信息，并将所述标杆信息进行存储。
进一步地，根据所述除雾速度分布区间，对所述除雾速度分布区间内的所述初始空调参数进行方差分析，是筛选出除雾速度在预设范围内分布区间的空调设置信息，再将空调设置信息进行方差分析，从而得到最优的空调设置信息作为标杆信息，并且将得到的标杆信息进行存储，在当下进行应用的 同时，方便当再次出现相似情况时进行调用。
S103：将所述标杆信息发送给所述目标需求车辆，使所述目标需求车辆根据所述标杆信息对车载空调参数进行调整。
云端服务器在接收需求区域内(处于相同的环境天气和距离本车在预设距离以内为同一区域)车辆上传的周边环境天气信息后，根据所述周边环境天气信息，确定相同环境天气、相同区域内以及同品牌车辆的车辆为目标需求车辆，确认需求车辆具体内容参见后文，此处不再赘述。
进一步的，所述相同区域为预设距离内，周边环境天气信息包括定位信息、实时天气预报信息以及车辆收集的天气信息。定位信息包括，高精度地图定位和GNSS芯片精确定位。高精度地图定位可以对车辆周边地图进行补全，GNSS芯片可以实现车辆自身的精确定位，在双重保证下，达到车辆定位更加准确的目的。
本实施方式对上一实施例的数据分析进行了进一步地说明，说明了标杆信息的计算过程，细化了步骤说明。
本发明的一个实施方式涉及一种网联交互空调调节方法，应用于云端服务器，其流程如图3所示，包括：
S1011：接收上传的除雾参数信息，其中，所述除雾参数信息包括初始空调参数、除雾时间和除雾速度。
接收上传的除雾参数信息，用于后续步骤的分析计算。所述除雾参数信息包括：初始空调参数、除雾时间和除雾速度。
需要说明的是，初始空调参数为初次上传时的空调参数，可以是空调默认参数，也可以是用户手动设置的空调参数等。除雾时间和除雾速度为车辆当前空调参数下对车窗除雾的时间和速度。当然，以上仅为具体的举例说明，在实际的使用过程中除雾参数信息还可以包括其他数据，此处不做一一赘述。
S10211：对所述除雾时间和所述除雾速度进行正态分布，得到正态分布结果。
云端服务器根据大数据进行除雾时间与除雾速度的正态分布，进行正态分布的目的是去除异常信息或极端信息，选择合理的数据信息，为后面的数据分析提供更加准确的数据。
进一步地，正态分布对于数据的筛选是以大数据为依据，根据分布范围筛选，能够更加快速有效地对数据进行筛选。
S10212：根据所述正态分布结果，确定所述除雾速度在预设范围内的分布区间为除雾速度分布区间。
在本步骤中，根据上一步骤所得到的正态分布结果，排除两端极端数据和异常数据，选择合理范围来筛选出除雾速度在预设范围内的分布区间的空调设置信息作为需要进行的分析的初始空调参数信息，为后续分析计算标杆信息提供数据。
S1022：根据所述除雾速度分布区间，对所述除雾速度分布区间内的所述初始空调参数进行分析，确定所述标杆信息。
根据所述除雾速度分布区间，进行方差分析，确定所述标杆信息，并将所述标杆信息进行存储。
进一步地，根据所述除雾速度分布区间，对所述除雾速度分布区间内的所述初始空调参数进行方差分析，是筛选出除雾速度在预设范围内分布区间的空调设置信息，再将空调设置信息进行方差分析，从而得到最优的空调设置信息作为标杆信息，并且将得到的标杆信息进行存储，在当下进行应用的同时，方便当再次出现相似情况时进行调用。
S103：将所述标杆信息发送给所述目标需求车辆，使所述目标需求车辆根据所述标杆信息对车载空调参数进行调整。
云端服务器在接收需求区域内(处于相同的环境天气和距离本车在预设距离以内为同一区域)车辆上传的周边环境天气信息后，根据所述周边环境天气信息，确定相同环境天气、相同区域内以及同品牌车辆的车辆为目标需求车辆，确认需求车辆具体内容参见后文，此处不再赘述。
进一步地，所述相同区域为预设距离内，周边环境天气信息包括定位信息、实时天气预报信息以及车辆收集的天气信息。定位信息包括，高精度地图定位和GNSS芯片精确定位。高精度地图定位可以对车辆周边地图进行补全，GNSS芯片可以实现车辆自身的精确定位，在双重保证下，达到车辆定位更加准确的目的。
本实施方式对上一实施例的数据分析进行了进一步地说明，说明了除雾 速度分布区间的分析计算过程，细化了步骤说明。
本发明的一个实施方式涉及一种网联交互空调调节方法，应用于云端服务器，其流程如图4所示，包括：
S101：接收上传的除雾参数信息。
接收上传的除雾参数信息，用于后续步骤的分析计算。所述除雾参数信息包括：初始空调参数、除雾时间和除雾速度。
需要说明的是，初始空调参数为初次上传时的空调参数，可以是空调默认参数，也可以是用户手动设置的空调参数等。除雾时间和除雾速度为车辆当前空调参数下对车窗除雾的时间和速度。当然，以上仅为具体的举例说明，在实际的使用过程中除雾参数信息还可以包括其他数据，此处不做一一赘述。
S102：根据所述初始空调参数、除雾时间和除雾速度，进行数据分析，得到标杆信息，所述标杆信息基于目标需求车辆所在预设范围内车辆的空调参数确定。
本实施例中，根据接收到的上传的除雾参数信息，对所述除雾参数信息进行数据的分析计算，得到当前区域内，最佳的空调参数方案，即，标杆信息。并对标杆信息进行存储，应用在当下的同时，方便当再次出现相似情况时进行调用。具体数据分析过程见下一实施例，此处不再一一赘述。
S104：接收所述上传的周边环境天气信息。
接收上传的周边环境天气信息，用于后续步骤的目标需求车辆确认。其中，所述周边环境天气信息包括定位信息，实时天气预报以及车辆收集的天气信息。定位信息包括，高精度地图定位和GNSS芯片精确定位。高精度地图定位可以对车辆周边地图进行补全，GNSS芯片可以实现车辆自身的精确定位，在双重保证下，达到车辆定位更加准确的目的。车辆收集的天气信息具体内容参见后文，此处不再一一赘述。
S105：根据所述周边环境天气信息，确定相同环境天气以及相同区域内的车辆为所述目标需求车辆，其中，所述相同区域为预设距离内的区域。
S103：将所述标杆信息发送给所述目标需求车辆，使所述目标需求车辆根据所述标杆信息对车载空调参数进行调整。
根据所述周边环境天气信息，确定相同环境天气、相同区域内以及同品 牌车辆的车辆为目标需求车辆。
进一步地，所述相同区域为预设距离内，周边环境天气信息包括定位信息、实时天气预报信息以及车辆收集的天气信息。定位信息包括，高精度地图定位和GNSS芯片精确定位。高精度地图定位可以对车辆周边地图进行补全，GNSS芯片可以实现车辆自身的精确定位，在双重保证下，达到车辆定位更加准确的目的。
进一步地，车辆收集的天气信息包括，光照(光照度在50-500lux(勒克斯)为阴天，100-1000lux为晴天，夜晚：0.001-0.02lux，夏季中午阳光光照达到10000以上)、水量(通过雨量传感器，即当玻璃干燥时，光线将发生全反射，并经过透镜系统成平行光状态被接收器接收。当玻璃上有雨水、雨滴时，由于折射率改变，光线不能发生全反射，而是视水滴面积大小发生部分反射，此时雨量传感器只能接收部分信号。按照百分比值来判断雨量大小。光从玻璃进入空气的全反射角。光透过玻璃全反射百分比为100％(全反射角为42°)——无雨状态，光透过玻璃全反射角降低到80％(全反射角为62°)——有雨水状态。60％为中雨，40％以下为大雨)来判断车辆周边的环境天气信息。当然，以上仅为具体的举例说明，在实际的使用过程中除雾参数信息数据还可以包括其他数据，此处不做一一赘述。
车载感知系统获取的数据，包括但不限于车辆上的车载雨雾传感器会对车辆起雾进行检测，根据雨雾传感器的电阻值，判断起雾情况等级后反馈给信息存储器，再通过ECU发送除霜信号。确认用户同意车车互助模式开启后，根据除霜信号，分配给空调鼓风机不同档位，并将当前空调参数调整为预设参数，预设参数为车辆默认设置中，在任何天气下车窗起雾时车车互助模式下默认设置的空调参数。并且将自身的空调设置上传给云端，同时接受云端服务器推送的信息，即与云端服务器进行信息交互，用户开启的智能网联系统通过V2X技术实现车辆与外界和与云端信息交互当时的车辆起雾状况。
本发明运作接收以及发送信息需要车辆开启车上的车车互助模式，关于车车互助模式是否开启，会向用户征求许可，若用户需要，用户可以通过按钮或默认设置进行接收云端推送的对空调的合理设置。若用户不需要，则同 样可以通过按钮或默认设置直接关闭该功能。
另外，需要说明的是，所述雨雾传感器是根据所述雨雾传感器的电阻值来判断雾气的浓度。雾气的浓度可以定义：1级为薄雾，可见；2级为雾气，可见度严重下降；3级为重雾，可见度为0。
另外，当所述雨雾传感器检测到除雾完成时，会反馈给信息存储器，再通过ECU发送除霜完成信号，空调参数调整回将空调设置为预设参数之前的初始空调参数，以保证用户的舒适度。其中，空调设置的参数包括空调外循环、鼓风机开关、鼓风机风量、空调出风温度。
本发明还涉及一种5G网络装置，如图10所示，包括：
5G模块301，集成前端模块302，高性能陷波滤波器303和ANT_1304。其中，5G模块301、集成前端模块302、ANT_1304组成的5G集成前端模块，具有低时延特点，空口时延小于1毫秒，业务层时延也能控制在10毫秒以内。本申请在5G集成前端模块的基础之上增加了高性能陷波滤波器303，提升了5G网络的可靠性和精度。例如，同样是车速120km/h，5G下因通信时延而产生的制动距离可以控制在33cm以内。5G实时高精度定位为本发明提供了强大的技术支撑。
本实施例增加了关于目标需求车辆确认步骤的说明，以及详细说明了车辆收集的天气信息的具体内容，对技术方案进行了进一步地补充与细化。
本发明的另一实施方式涉及一种网联交互空调调节装置，应用于云端服务器，如图5所示，包括：
接收模块201，用于接收上传的除雾参数信息；
分析模块202，用于对所述除雾参数信息进行数据分析，得到标杆信息，所述标杆信息基于目标需求车辆所在预设范围内车辆的空调参数确定；
发送模块203，用于发送所述标杆信息到所述目标需求车辆，使所述目标需求车辆根据所述标杆信息对车载空调参数进行调整。
进一步地，如图6所示，所述接收模块201包括：
第一接收子模块2011，用于接收上传的所述除雾参数信息，其中，所述除雾参数信息包括除雾时间和除雾速度。
第二接收子模块2012，用于接收上传的周边环境天气信息。
进一步地，如图7所示，所述分析模块202包括：
第一分析子模块2021，对所述除雾时间和所述除雾速度进行分析，得到除雾速度分布区间。
第二分析子模块2022，根据所述除雾速度分布区间，对所述除雾速度分布区间内的空调设置信息进行分析，确定所述标杆信息。
进一步地，如图8所示，所述第一分析子模块2021包括：
第一分析单元20211，用于对所述除雾时间和所述除雾速度进行正态分布，得到正态分布结果。
第二分析单元20212，用于根据所述正态分布结果，确定所述除雾速度在预设范围内的分布区间为除雾速度分布区间。
进一步地，如图9所示，所述发送模块203包括：
确认子模块2031，用于根据所述周边环境天气信息，确定相同环境天气以及相同区域内的车辆为所述目标需求车辆，其中，所述相同区域为预设距离内的区域。
发送子模块2032，用于将所述标杆信息发送给所述目标需求车辆，使所述目标需求车辆根据所述标杆信息对车载空调参数进行调整。
本实施例涉及一种装置的具体实现方法，可以参见本发明前文实施例提供的方法实施例所述，此处不再赘述。
以上所描述的装置实施例仅仅是示意性的，其中所述作为分离部件说明的单元可以是或者也可以不是物理上分开的，作为单元显示的部件可以是或者也可以不是物理单元，即可以位于一个地方，或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部模块来实现本实施例方案的目的。本领域普通技术人员在不付出创造性的劳动的情况下，即可以理解并实施。
本发明另一实施方式涉及一种电子设备，如图11所示，包括：
至少一个处理器401；
以及，与所述至少一个处理器401通信连接的存储器402；
其中，所述存储器402存储有可被所述至少一个处理器执行的指令，所述指令被所述至少一个处理器401执行，以使所述至少一个处理器401能够 执行本发明实施方式所述的方法。
其中，存储器和处理器采用总线方式连接，总线可以包括任意数量的互联的总线和桥，总线将一个或多个处理器和存储器的各种电路连接在一起。总线还可以将诸如外围设备、稳压器和功率管理电路等之类的各种其他电路连接在一起，这些都是本领域所公知的，因此，本文不再对其进行进一步描述。总线接口在总线和收发机之间提供接口。收发机可以是一个元件，也可以是多个元件，比如多个接收器和发送器，提供用于在传输介质上与各种其他装置通信的单元。经处理器处理的数据通过天线在无线介质上进行传输，进一步，天线还接收数据并将数据传送给处理器。
处理器负责管理总线和通常的处理，还可以提供各种功能，包括定时，外围接口，电压调节、电源管理以及其他控制功能。而存储器可以被用于存储处理器在执行操作时所使用的数据。
以上对本申请所提供的技术方案进行了详细介绍，本文中应用了具体个例对本申请的原理及实施方式进行了阐述，以上实施例的说明只是用于帮助理解本申请，本说明书内容不应理解为对本申请的限制。同时，对于本领域的一般技术人员，依据本申请，在具体实施方式及应用范围上均会有不同形式的改变之处，这里无需也无法对所有的实施方式予以穷举，而由此所引伸出的显而易见的变化或变动仍处于本申请的保护范围之中。
本说明书中的各个实施例均采用递进的方式描述，每个实施例重点说明的都是与其他实施例的不同之处，各个实施例之间相同相似的部分互相参见即可。
本发明实施例是参照根据本发明实施例的方法、终端设备(系统)、和计算机程序产品的流程图和/或方框图来描述的。应理解可由计算机程序指令实现流程图和/或方框图中的每一流程和/或方框、以及流程图和/或方框图中的流程和/或方框的结合。可提供这些计算机程序指令到通用计算机、专用计算机、嵌入式处理机或其他可编程数据处理终端设备的处理器以产生一个机器，使得通过计算机或其他可编程数据处理终端设备的处理器执行的指令产生用于实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能的装置。
这些计算机程序指令也可存储在能引导计算机或其他可编程数据处理终端设备以特定方式工作的计算机可读存储器中，使得存储在该计算机可读存储器中的指令产生包括指令装置的制造品，该指令装置实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能。
这些计算机程序指令也可装载到计算机或其他可编程数据处理终端设备上，使得在计算机或其他可编程终端设备上执行一系列操作步骤以产生计算机实现的处理，从而在计算机或其他可编程终端设备上执行的指令提供用于实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能的步骤。
尽管已描述了本发明实施例的优选实施例，但本领域内的技术人员一旦得知了基本创造性概念，则可对这些实施例做出另外的变更和修改。所以，所附权利要求意欲解释为包括优选实施例以及落入本发明实施例范围的所有变更和修改。
最后，还需要说明的是，在本文中，诸如第一和第二等之类的关系术语仅仅用来将一个实体或者操作与另一个实体或操作区分开来，而不一定要求或者暗示这些实体或操作之间存在任何这种实际的关系或者顺序。而且，术语“包括”、“包含”或者其任何其他变体意在涵盖非排他性的包含，从而使得包括一系列要素的过程、方法、物品或者终端设备不仅包括那些要素，而且还包括没有明确列出的其他要素，或者是还包括为这种过程、方法、物品或者终端设备所固有的要素。在没有更多限制的情况下，由语句“包括一个……”限定的要素，并不排除在包括所述要素的过程、方法、物品或者终端设备中还存在另外的相同要素。
以上对本发明所提供的一种空调自适应调节方法、系统、电子设备、存储介质和车辆进行了详细介绍，本文中应用了具体个例对本发明的原理及实施方式进行了阐述，以上实施例的说明只是用于帮助理解本发明的方法及其核心思想；同时，对于本领域的一般技术人员，依据本发明的思想，在具体实施方式及应用范围上均会有改变之处，综上所述，本说明书内容不应理解为对本发明的限制。
本申请的各个部件实施例可以以硬件实现，或者以在一个或者多个处理 器上运行的软件模块实现，或者以它们的组合实现。本领域的技术人员应当理解，可以在实践中使用微处理器或者数字信号处理器(DSP)来实现根据本申请实施例的计算处理设备中的一些或者全部部件的一些或者全部功能。本申请还可以实现为用于执行这里所描述的方法的一部分或者全部的设备或者装置程序(例如，计算机程序和计算机程序产品)。这样的实现本申请的程序可以存储在计算机可读介质上，或者可以具有一个或者多个信号的形式。这样的信号可以从因特网网站上下载得到，或者在载体信号上提供，或者以任何其他形式提供。
例如，图12示出了可以实现根据本申请的方法的计算处理设备。该计算处理设备传统上包括处理器1010和以存储器1020形式的计算机程序产品或者计算机可读介质。存储器1020可以是诸如闪存、EEPROM(电可擦除可编程只读存储器)、EPROM、硬盘或者ROM之类的电子存储器。存储器1020具有用于执行上述方法中的任何方法步骤的程序代码1031的存储空间1030。例如，用于程序代码的存储空间1030可以包括分别用于实现上面的方法中的各种步骤的各个程序代码1031。这些程序代码可以从一个或者多个计算机程序产品中读出或者写入到这一个或者多个计算机程序产品中。这些计算机程序产品包括诸如硬盘，紧致盘(CD)、存储卡或者软盘之类的程序代码载体。这样的计算机程序产品通常为如参考图13所述的便携式或者固定存储单元。该存储单元可以具有与图13的计算处理设备中的存储器1020类似布置的存储段、存储空间等。程序代码可以例如以适当形式进行压缩。通常，存储单元包括计算机可读代码1031’，即可以由例如诸如1010之类的处理器读取的代码，这些代码当由计算处理设备运行时，导致该计算处理设备执行上面所描述的方法中的各个步骤。
本文中所称的“一个实施例”、“实施例”或者“一个或者多个实施例”意味着，结合实施例描述的特定特征、结构或者特性包括在本申请的至少一个实施例中。此外，请注意，这里“在一个实施例中”的词语例子不一定全指同一个实施例。
在此处所提供的说明书中，说明了大量具体细节。然而，能够理解，本申请的实施例可以在没有这些具体细节的情况下被实践。在一些实例中， 并未详细示出公知的方法、结构和技术，以便不模糊对本说明书的理解。
在权利要求中，不应将位于括号之间的任何参考符号构造成对权利要求的限制。单词“包含”不排除存在未列在权利要求中的元件或步骤。位于元件之前的单词“一”或“一个”不排除存在多个这样的元件。本申请可以借助于包括有若干不同元件的硬件以及借助于适当编程的计算机来实现。在列举了若干装置的单元权利要求中，这些装置中的若干个可以是通过同一个硬件项来具体体现。单词第一、第二、以及第三等的使用不表示任何顺序。可将这些单词解释为名称。
最后应说明的是：以上实施例仅用以说明本申请的技术方案，而非对其限制；尽管参照前述实施例对本申请进行了详细的说明，本领域的普通技术人员应当理解：其依然可以对前述各实施例所记载的技术方案进行修改，或者对其中部分技术特征进行等同替换；而这些修改或者替换，并不使相应技术方案的本质脱离本申请各实施例技术方案的精神和范围。

Claims (12)

  1. 一种网联交互空调调节方法，应用于云端服务器，其特征在于，包括：
    接收除雾参数信息；
    根据所述除雾参数信息，进行数据分析，得到标杆信息，所述标杆信息基于目标需求车辆所在预设范围内车辆的空调参数确定；
    将所述标杆信息发送给所述目标需求车辆，使所述目标需求车辆根据所述标杆信息对车载空调参数进行调整。
  2. 根据权利要求1所述的网联交互空调调节方法，其特征在于，所述除雾参数信息包括初始空调参数、除雾时间和除雾速度，所述根据所述除雾参数信息，进行数据分析，得到标杆信息包括：
    对所述除雾时间和所述除雾速度进行分析，得到除雾速度分布区间；
    根据所述除雾速度分布区间，对所述除雾速度分布区间内的所述初始空调参数进行分析，确定所述标杆信息。
  3. 根据权利要求2所述的网联交互空调调节方法，其特征在于，所述对所述除雾时间和所述除雾速度进行分析，得到除雾速度分布区间包括：
    对所述除雾时间和所述除雾速度进行正态分布，得到正态分布结果；
    根据所述正态分布结果，确定所述除雾速度在预设范围内的分布区间为除雾速度分布区间。
  4. 根据权利要求1所述的网联交互空调调节方法，其特征在于，所述将所述标杆信息发送给所述目标需求车辆前，还包括：
    接收上传的周边环境天气信息；
    根据所述周边环境天气信息，确定相同环境天气以及相同区域内的车辆为所述目标需求车辆，其中，所述相同区域为预设距离内的区域。
  5. 一种网联交互空调调节装置，应用于云端服务器，其特征在于，包括：
    接收模块，用于接收上传的除雾参数信息；
    分析模块，用于根据所述除雾参数信息，进行数据分析，得到标杆信息，所述标杆信息基于目标需求车辆所在预设范围内车辆的空调参数确定；
    发送模块，用于将所述标杆信息发送给所述目标需求车辆，使所述目标需求车辆根据所述标杆信息对车载空调参数进行调整。
  6. 根据权利要求5所述的网联交互空调调节装置，其特征在于，所述接收模块包括：
    第一接收子模块，用于接收上传的所述除雾参数信息，其中，所述除雾参数信息包括初始空调参数、除雾时间和除雾速度；
    第二接收子模块，用于接收上传的周边环境天气信息。
  7. 根据权利要求6所述的网联交互空调调节装置，其特征在于，所述发送模块包括：
    确认子模块，用于根据所述周边环境天气信息，确定相同环境天气以及相同区域内的车辆为所述目标需求车辆，其中，所述相同区域为预设距离内的区域；
    发送子模块，用于将所述标杆信息发送给所述目标需求车辆，使所述目标需求车辆根据所述标杆信息对车载空调参数进行调整。
  8. 根据权利要求6所述的网联交互空调调节装置，其特征在于，所述分析模块包括：
    第一分析子模块，用于对所述除雾时间和所述除雾速度进行分析，得到除雾速度分布区间；
    第二分析子模块，用于根据所述除雾速度分布区间，对所述除雾速度分布区间内的初始空调参数进行分析，确定所述标杆信息。
  9. 根据权利要求8所述的分析模块，其特征在于，所述第一分析子模块包括：
    第一分析单元，用于对所述除雾时间和所述除雾速度进行正态分布，得到正态分布结果；
    第二分析单元，用于根据所述正态分布结果，确定所述除雾速度在预设范围内的分布区间为除雾速度分布区间。
  10. 一种电子设备，其特征在于，包括：
    至少一个处理器；以及，
    与所述至少一个处理器通信连接的存储器；其中，
    所述存储器存储有可被所述至少一个处理器执行的指令，所述指令被所述至少一个处理器执行，以使所述至少一个处理器能够执行如权利要求1至4中任意一项所述的方法。
  11. 一种计算机程序，包括计算机可读代码，当所述计算机可读代码在计算处理设备上运行时，导致所述计算处理设备执行根据权利要求1-4中的任一个所述的网联交互空调调节方法。
  12. 一种计算机可读介质，其中存储了如权利要求11所述的计算机程序。
PCT/CN2022/132052 2021-11-22 2022-11-15 网联交互空调调节方法、装置和电子设备 WO2023088262A1 (zh)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN202111390195.1 2021-11-22
CN202111390195.1A CN115042579A (zh) 2021-11-22 2021-11-22 网联交互空调调节方法、装置和电子设备

Publications (1)

Publication Number Publication Date
WO2023088262A1 true WO2023088262A1 (zh) 2023-05-25

Family

ID=83156197

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2022/132052 WO2023088262A1 (zh) 2021-11-22 2022-11-15 网联交互空调调节方法、装置和电子设备

Country Status (2)

Country Link
CN (1) CN115042579A (zh)
WO (1) WO2023088262A1 (zh)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115042579A (zh) * 2021-11-22 2022-09-13 长城汽车股份有限公司 网联交互空调调节方法、装置和电子设备

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140081481A1 (en) * 2011-05-18 2014-03-20 Toyota Jidosha Kabushiki Kaisha Vehicle air conditioning remote control system, server, and portable terminal
CN105270141A (zh) * 2015-11-19 2016-01-27 深圳乐行无限科技有限公司 一种汽车空调控制方法及空调控制器
CN108202696A (zh) * 2016-12-20 2018-06-26 乐视汽车（北京）有限公司 车辆车窗去雾控制方法、装置及电子设备
CN110406348A (zh) * 2018-04-26 2019-11-05 上海博泰悦臻网络技术服务有限公司 基于汽车的空调自动调节方法及云端服务器
US20200223285A1 (en) * 2019-01-10 2020-07-16 Toyota Jidosha Kabushiki Kaisha Ventilation control system, non-transitory computer readable medium storing ventilation control program, and method for controlling ventilation control system
CN112389159A (zh) * 2020-12-01 2021-02-23 安徽江淮汽车集团股份有限公司 车辆空调系统控制方法、车辆及存储介质
CN113119683A (zh) * 2019-12-31 2021-07-16 长城汽车股份有限公司 一种车辆空调的控制方法、车辆终端以及服务端
CN115042579A (zh) * 2021-11-22 2022-09-13 长城汽车股份有限公司 网联交互空调调节方法、装置和电子设备

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140081481A1 (en) * 2011-05-18 2014-03-20 Toyota Jidosha Kabushiki Kaisha Vehicle air conditioning remote control system, server, and portable terminal
CN105270141A (zh) * 2015-11-19 2016-01-27 深圳乐行无限科技有限公司 一种汽车空调控制方法及空调控制器
CN108202696A (zh) * 2016-12-20 2018-06-26 乐视汽车（北京）有限公司 车辆车窗去雾控制方法、装置及电子设备
CN110406348A (zh) * 2018-04-26 2019-11-05 上海博泰悦臻网络技术服务有限公司 基于汽车的空调自动调节方法及云端服务器
US20200223285A1 (en) * 2019-01-10 2020-07-16 Toyota Jidosha Kabushiki Kaisha Ventilation control system, non-transitory computer readable medium storing ventilation control program, and method for controlling ventilation control system
CN113119683A (zh) * 2019-12-31 2021-07-16 长城汽车股份有限公司 一种车辆空调的控制方法、车辆终端以及服务端
CN112389159A (zh) * 2020-12-01 2021-02-23 安徽江淮汽车集团股份有限公司 车辆空调系统控制方法、车辆及存储介质
CN115042579A (zh) * 2021-11-22 2022-09-13 长城汽车股份有限公司 网联交互空调调节方法、装置和电子设备

Also Published As

Publication number Publication date
CN115042579A (zh) 2022-09-13

Similar Documents

Publication Publication Date Title
US10377301B2 (en) Lamp light control method and apparatus, computer storage medium and in-vehicle device
US9849865B2 (en) Emergency braking system and method of controlling the same
WO2023088262A1 (zh) 网联交互空调调节方法、装置和电子设备
CN111055810B (zh) 后雨刮智能自动控制系统及方法
CN111178735B (zh) 一种自动驾驶功能的测试评价方法、装置及系统
GB2475871A (en) Navigation based function mapping for a vehicle
CN110335484B (zh) 控制车辆行驶的方法及装置
US9666059B2 (en) Vehicle light anomaly state warning
US10568188B2 (en) On-demand street lighting for a connected vehicle
CN110969893A (zh) 一种车辆自主代客泊车方法、车载设备及存储介质
KR101741601B1 (ko) 차량과의 양방향 센서 데이터 수집에 기반한 도로 기상 정보 제공 방법 및 시스템
Grove et al. Commercial motor vehicle driver performance with adaptive cruise control in adverse weather
CN110228481B (zh) 车辆控制方法、装置和设备
US11718151B2 (en) Determination device, vehicle control device, determination method and determination program
CN113059982A (zh) 一种车辆温度调节的方法及装置
WO2023133758A1 (zh) 测试方法及装置
WO2022127647A1 (zh) 输出行驶提示信息的方法、系统及车辆
CN114973695B (zh) 一种车辆优先通行控制方法及相关设备
CN106314256A (zh) 汽车照明控制方法、装置和系统
CN114670745B (zh) 一种车辆雾灯控制方法、装置、设备以及存储介质
CN116022158B (zh) 多域控制器协作的驾驶安全控制方法及装置
CN110588664A (zh) 一种自适应巡航系统及其方法
CN111959220B (zh) 一种车辆智能控制方法、装置及设备
CN116580383A (zh) 一种车辆行驶环境识别方法、装置、电子设备及存储介质
JP2023144191A (ja) 装置推奨システム

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 22894795

Country of ref document: EP

Kind code of ref document: A1