CN110654183B - Tire pressure prediction method, tire pressure prediction device, computer equipment and storage medium - Google Patents
Tire pressure prediction method, tire pressure prediction device, computer equipment and storage medium Download PDFInfo
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- CN110654183B CN110654183B CN201810686799.2A CN201810686799A CN110654183B CN 110654183 B CN110654183 B CN 110654183B CN 201810686799 A CN201810686799 A CN 201810686799A CN 110654183 B CN110654183 B CN 110654183B
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60C—VEHICLE TYRES; TYRE INFLATION; TYRE CHANGING; CONNECTING VALVES TO INFLATABLE ELASTIC BODIES IN GENERAL; DEVICES OR ARRANGEMENTS RELATED TO TYRES
- B60C23/00—Devices for measuring, signalling, controlling, or distributing tyre pressure or temperature, specially adapted for mounting on vehicles; Arrangement of tyre inflating devices on vehicles, e.g. of pumps or of tanks; Tyre cooling arrangements
- B60C23/02—Signalling devices actuated by tyre pressure
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Abstract
The application relates to a tire pressure prediction method, a tire pressure prediction device, a computer device and a storage medium. The method comprises the following steps: acquiring a target prediction road section; acquiring a current tire pressure and a tire pressure increment in the target prediction section; and obtaining a tire pressure predicted value of the vehicle after passing through the target prediction section according to the current tire pressure of the vehicle and the tire pressure increment in the target prediction section. By adopting the method, the vehicle can be prejudged before reaching the tire burst road section, so that the early warning information can be provided for a driver, and the occurrence of the tire burst accident can be reduced.
Description
Technical Field
The application relates to the technical field of vehicle networking, in particular to a tire pressure prediction method, a tire pressure prediction device, computer equipment and a storage medium.
Background
With the development of vehicle network technology, an automobile tire pressure detection technology appears, the current tire pressure of an automobile is detected through a pressure sensing device or other devices, and when the current tire pressure of the automobile exceeds a threshold value, an early warning is given out.
However, the current tire pressure detecting technology of the automobile can only give out a warning when the pressure of the automobile tire is in a tire burst dangerous state, and has great hysteresis.
Disclosure of Invention
In view of the above, it is necessary to provide a tire pressure prediction method, apparatus, computer device and storage medium for solving the above technical problems.
A method of tire prediction, the method comprising:
acquiring a target prediction road section;
acquiring the current tire pressure and the tire pressure increment of the target prediction road section;
and obtaining a tire pressure predicted value of the vehicle after passing through the target prediction section according to the current tire pressure of the vehicle and the tire pressure increment of the target prediction section.
In one embodiment, the step of obtaining the target predicted section includes:
acquiring a driving route planned according to a vehicle;
and obtaining a target predicted road section according to the position of the vehicle and the driving route.
In one embodiment, the step of obtaining the current tire pressure and the tire pressure increase in the target predicted segment includes:
acquiring an initial pressure value of a tire of a passing vehicle passing through a target prediction road section at the starting end of the target prediction road section and a final pressure value of the tire at the tail end of the target prediction road section within a preset time period;
and obtaining the tire pressure increment of the passing vehicle passing through the target road section according to the final pressure value and the initial pressure value of the tire, and taking the tire pressure increment of the passing vehicle passing through the target road section as the tire pressure increment of the target prediction road section.
In one embodiment, the step of obtaining the tire pressure values of the tire of the passing vehicle at the beginning and the end of the target predicted road section according to the tire pressure information comprises the following steps:
acquiring tire parameters of the vehicle;
screening out vehicles matched with the tire parameters of the vehicle from the tire parameters of the passing vehicles as reference vehicles;
and acquiring the tire pressure values of the reference vehicle at the beginning and the end of the target prediction section.
In one embodiment, the tire parameters include one or more of tire make, tire model, tire size, and tire age.
In one embodiment, the step of obtaining a tire pressure prediction value according to the current tire pressure and the tire pressure increment in the target prediction section comprises:
acquiring the current tire pressure of the vehicle;
and adding the tire pressure increment to the current tire pressure of the vehicle to obtain the predicted value of the tire pressure of the vehicle.
In one embodiment, the method further comprises:
judging whether the predicted tire pressure value is greater than a tire pressure threshold value;
if the tire pressure predicted value is smaller than or equal to the tire pressure threshold value, continuously obtaining the tire pressure predicted value of the next target predicted road section;
and if the predicted tire pressure value is larger than the tire pressure threshold value, an overpressure warning is sent out.
A tire pressure prediction apparatus, the apparatus comprising:
the target road section obtaining module is used for obtaining a target prediction road section;
the tire pressure increment obtaining module is used for obtaining the current tire pressure and the tire pressure increment of the target prediction road section;
and the tire pressure prediction module is used for obtaining a tire pressure prediction value according to the current tire pressure of the vehicle and the tire pressure increment in the target prediction section.
A computer device comprising a memory storing a computer program and a processor implementing the steps of the method of any of the above embodiments when the processor executes the computer program.
A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method of any of the above embodiments.
According to the tire pressure prediction method, the tire pressure prediction device, the computer equipment and the storage medium, the tire pressure prediction value of the vehicle in the target prediction road section is obtained by obtaining the tire pressure increment of the target prediction road section, and the prediction can be carried out before the vehicle reaches the tire burst road section, so that the early warning information can be provided for a driver, and the occurrence of tire burst accidents is reduced.
Drawings
FIG. 1 is a diagram of an environment in which a method for predicting tire pressure may be used in one embodiment;
FIG. 2 is a schematic flow chart diagram of a tire pressure prediction method in one embodiment;
FIG. 3 is a flowchart illustrating the step of obtaining a target predicted link in one embodiment;
FIG. 4 is a flowchart illustrating the step of obtaining a current tire pressure and a tire pressure increase in the target predicted segment in one embodiment;
FIG. 5 is a flow diagram illustrating a process for determining whether tire pressure is greater than a tire pressure threshold in one embodiment;
FIG. 6 is a schematic flow chart diagram illustrating a tire pressure cycle prediction method in one embodiment;
FIG. 7 is a block diagram showing the construction of a tire pressure predicting apparatus according to an embodiment;
FIG. 8 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The tire pressure prediction method provided by the application can be applied to the application environment shown in fig. 1. Wherein the onboard processor 102 communicates with the server 104 over a network. The in-vehicle server 102 may be, but is not limited to, various personal computers, notebook computers, smart phones, tablet computers, portable wearable devices, and navigation devices, and the server 104 may be implemented by an independent server or a server cluster formed by a plurality of servers. In one embodiment, the onboard processor 102 collects the tire pressure increment of the reference vehicle in the server 104 through the network and collects the current tire pressure of the host vehicle; a predicted value of tire pressure in the target predicted segment is calculated by the on-board processor 102.
In one embodiment, as shown in fig. 2, a tire pressure prediction method is provided, which is exemplified by the application of the method to the onboard server in fig. 1, and comprises the following steps:
step 202, a target prediction road section is obtained.
The target prediction road section refers to a distance to be traveled by the vehicle according to a planned route. Specifically, the target predicted link is a target link for predicting the tire pressure of the host vehicle. In one embodiment, the target predicted segment is obtained in a route that the host vehicle is planned to travel. Specifically, the target predicted section is extracted from the route planned to be driven by the vehicle according to the parameter information of the target predicted section.
In one embodiment, the obtaining device of the target prediction road section comprises one or more of a mobile terminal, a vehicle-mounted terminal and a cloud server.
And step 204, acquiring the current tire pressure and the tire pressure increment of the target prediction road section.
Here, the current tire pressure refers to the tire pressure of the host vehicle at the time of tire pressure prediction. Optionally, the current tire pressure comprises: the own-vehicle tire pressure after the start of the tire pressure prediction and before the acquisition of the target predicted section; or, the own-vehicle tire pressure after the target predicted section is acquired and before the tire pressure increase in the target predicted section is acquired; alternatively, the own-vehicle tire pressure after acquiring the target predicted section and the tire pressure increase in the target predicted section is acquired.
The tire pressure increase in the target predicted section is a value at which the tire pressure of the host vehicle is predicted to increase after passing through the target predicted section. Specifically, the tire pressure increase is determined from the tire pressure information of the reference vehicle in the target predicted section.
And step 206, obtaining a tire pressure predicted value after the vehicle passes through the target predicted road section according to the current tire pressure of the vehicle and the tire pressure increment of the target predicted road section.
The tire pressure predicted value refers to a predicted value of the tire pressure after the vehicle passes through a target predicted section according to the planned route. Specifically, the predicted tire pressure value is obtained based on the current tire pressure and the tire pressure increase.
According to the tire pressure prediction method, the tire pressure increment of the target prediction road section is obtained to obtain the tire pressure prediction value of the vehicle in the target prediction road section, and prediction can be made before the vehicle reaches the tire burst road section, so that early warning information can be provided for a driver, and the occurrence of tire burst accidents is reduced.
It should be understood that, although the steps in the flowchart of fig. 2 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a portion of the steps in fig. 2 may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
In one embodiment, referring to fig. 3, the step of obtaining the target predicted section includes:
step S301, acquiring a planned driving route of the vehicle;
specifically, the obtaining route of the vehicle planned driving route includes, but is not limited to, obtaining through a vehicle navigation system, a mobile navigation system, and a vehicle positioning system. In one embodiment, the step of obtaining the planned driving route of the vehicle comprises: in step S3011, the current position of the vehicle is acquired. The current position of the host vehicle may be, but is not limited to, geographical coordinate information (e.g., longitude and latitude information) or the like. The data format may be, but is not limited to, global Navigation Satellite system gnss (global Navigation Satellite system) information. In step S3012, the vehicle destination position is acquired.
Step S302, obtaining a target predicted road section according to the position of the vehicle and the driving route. In one embodiment, step S302 specifically includes:
in step S3021, a travel route of the vehicle is planned based on the current position of the vehicle and the destination position of the vehicle.
In step S3022, a target predicted section in the travel route is determined according to the parameter information of the preset target predicted section. Specifically, the parameter information of the target predicted road section includes, but is not limited to, a preset mileage value and a preset curve value.
In one embodiment, referring to fig. 4, the step of obtaining the current tire pressure and the tire pressure increase in the target predicted segment includes:
step S401, acquiring an initial pressure value of a tire of a passing vehicle passing through a target prediction road section at the beginning of the target prediction road section and a final pressure value of the tire at the end of the target prediction road section within a preset time period, wherein the preset time period is a preset fixed time length. For example 30 minutes, one hour. In one embodiment, the passing vehicle is a vehicle that has passed through the target predicted section before the host vehicle acquires the tire pressure increase of the target predicted section.
Step S402, obtaining the tire pressure increment of the passing vehicle passing through the target road section according to the tire final pressure value and the tire initial pressure value, and taking the tire pressure increment of the passing vehicle passing through the target road section as the tire pressure increment of the target prediction road section. In one embodiment, the start of the target predicted link refers to a position that the host vehicle arrives first when traveling to the target predicted link, and the end of the target predicted link refers to a position that the host vehicle leaves last when traveling away from the target predicted link.
In one embodiment, the step of obtaining the tire pressure values of the tire of the passing vehicle at the beginning and the end of the target predicted road section according to the tire pressure information comprises the following steps:
step S4021, obtaining tire parameters of the host vehicle. In one embodiment, the tire parameters include one or more of tire make, tire model, tire size, and tire age. As an alternative embodiment, the onboard processor 102 obtains tire parameters of the host vehicle. Specifically, after acquiring the tire parameters of the vehicle, the onboard processor 102 uploads the tire parameters of the vehicle to the onboard server.
Step S4022, screening out vehicles matched with the tire parameters of the vehicle from the tire parameters of the passing vehicles to be used as reference vehicles. In one embodiment, the passing vehicle uploads its tire parameters to the cloud server 104, and the cloud server 104 screens out the vehicle matching the tire parameters of the passing vehicle as a reference vehicle from the tire parameters of the passing vehicle.
Step S4023, obtaining tire pressure values of the reference vehicle at the beginning and the end of the target predicted road section.
Step S403, obtaining the tire pressure increment of the vehicle after passing through the target prediction road section according to the tire pressure value at the tail end of the target prediction road section and the tire pressure value at the starting end of the target prediction road section. In one embodiment, the step of obtaining a tire pressure prediction value according to the current tire pressure and the tire pressure increment in the target prediction section comprises: step S4031, acquiring the current tire pressure of the host vehicle; step S4032, the tire pressure increment is added to the current tire pressure of the host vehicle, and the predicted value of the tire pressure of the host vehicle is obtained.
In another embodiment, the step of obtaining a tire pressure prediction value based on the current tire pressure and the tire pressure increase in the target prediction section comprises: s4031' acquiring a current tire pressure of the host vehicle; in step S4032', a tire pressure value at which the host vehicle reaches the start of the target predicted link is calculated from the current tire pressure of the host vehicle. In step S4033', the tire pressure value at the time when the vehicle reaches the start of the target predicted link is added to the tire pressure increase to obtain the predicted value of the tire pressure of the vehicle.
In a preferred embodiment, when the distance between the target predicted link and the current position of the vehicle is smaller than the preset threshold value, it is preferable to obtain the predicted value of the tire pressure of the vehicle in the above steps S4031 and S4032.
In a preferred embodiment, when the distance between the target predicted link and the current position of the host vehicle is greater than the preset threshold value, it is preferable to obtain the predicted value of the tire pressure of the host vehicle in the above-described steps S4031 ', S4032 ', and S4033 '. Specifically, the preset threshold is a preset distance value.
In one embodiment, the tire pressure prediction method further comprises:
step S501, judging whether the tire pressure predicted value is larger than a tire pressure threshold value;
step S502, if the tire pressure predicted value is less than or equal to the tire pressure threshold value, continuing to obtain the pressure predicted value of the tire of the next target predicted road section; step S502', if the predicted tire pressure value is greater than the tire pressure threshold value, an overpressure warning is sent out. Here, the tire pressure threshold value is an upper limit of the pressure that the tire of the host vehicle can withstand. If the tire pressure exceeds the tire pressure threshold, the tire is in a hazardous condition.
In one embodiment, referring to fig. 6 in combination, a flow chart of a method for cyclically making tire pressure predictions during travel is provided, comprising:
step S601, acquiring a target prediction road section; step S602, acquiring the current tire pressure of the vehicle and the tire pressure increment in the target prediction section; step S603, obtaining a tire pressure predicted value of the vehicle after passing through the target prediction section according to the current tire pressure of the vehicle and the tire pressure increment in the target prediction section; step S604, judging whether the predicted value of the tire pressure is greater than a tire pressure threshold value; step S605, if the predicted value of the tire pressure is more than or equal to the tire pressure threshold value, an overpressure warning is sent out; in step S605', if the predicted tire pressure value is smaller than the tire pressure threshold value, step S60105, step S602, step S603, and step S604 are repeated.
In one embodiment, as shown in fig. 7, there is provided a tire pressure predicting device including:
a target segment acquisition module 701, a tire pressure increment acquisition module 702, and a tire pressure prediction module 703, wherein:
a target road section obtaining module 701, configured to obtain a target predicted road section;
a tire pressure increment obtaining module 702, configured to obtain a current tire pressure and a tire pressure increment in the target predicted road segment;
the tire pressure prediction module 703 is configured to obtain a tire pressure prediction value according to the current tire pressure of the vehicle and the tire pressure increment in the target prediction road segment.
In one embodiment, the target road segment obtaining module 701 includes:
the vehicle driving route acquiring module is used for acquiring the driving route planned by the vehicle;
in one embodiment, the target predicted section is further specifically configured to obtain the target predicted section according to the position of the host vehicle and the travel route.
In one embodiment, the tire pressure increase acquisition module 702 further comprises: the device comprises a passing vehicle tire information acquisition module and a target prediction road section endpoint pressure value acquisition module.
The passing vehicle tire information acquisition module is used for acquiring tire pressure information uploaded by passing vehicles passing through the target prediction road section within a preset time period;
and the target prediction road section endpoint pressure value acquisition module is used for acquiring the tire pressure values of the tire of the passing vehicle at the starting end and the tail end of the target prediction road section according to the tire pressure information.
In one embodiment, the tire pressure increment obtaining module is further specifically configured to obtain the tire pressure increment after the host vehicle passes through the target predicted road section according to the tire pressure value at the end of the target predicted road section and the tire pressure value at the beginning of the target predicted road section.
In one embodiment, the target prediction road section endpoint pressure value acquisition module comprises a vehicle tire parameter acquisition module, a reference vehicle screening module and a reference vehicle endpoint pressure value acquisition module,
the vehicle tire parameter acquisition module is used for acquiring tire parameters of the vehicle;
the reference vehicle screening module is used for screening out vehicles matched with the tire parameters of the vehicle from the tire parameters of the passing vehicles to serve as reference vehicles;
and the reference vehicle endpoint pressure value acquisition module is used for acquiring the tire pressure values of the reference vehicle at the starting end and the tail end of the target prediction road section.
In one embodiment, the tire pressure prediction module 703 includes a current tire pressure acquisition module, a tire pressure prediction value calculation module;
a current tire pressure acquisition module for acquiring a current tire pressure of the host vehicle;
and the tire pressure predicted value calculating module is used for adding the current tire pressure of the vehicle to the tire pressure increment to obtain the vehicle tire pressure predicted value.
In one embodiment, the tire pressure predicting device further includes: a cycle prediction module and an overvoltage warning module;
the cycle prediction module is used for continuously obtaining the pressure prediction value of the tire of the next target prediction section when the tire pressure prediction value is less than or equal to the tire pressure threshold value;
and the overpressure warning module is used for sending out an overpressure warning when the predicted value of the tire pressure is larger than the tire pressure threshold value.
For specific definition of the tire pressure prediction device, see the above definition of the tire pressure prediction method, which is not described herein again. The respective modules in the above tire pressure predicting apparatus may be wholly or partially implemented by software, hardware, and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as shown in fig. 8. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer device is used for storing the relevant information of the vehicle, the communication vehicle and the reference vehicle and the relevant information data of the tire. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a tire pressure prediction method.
Those skilled in the art will appreciate that the architecture shown in fig. 8 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having a computer program stored therein, the processor implementing the following steps when executing the computer program:
acquiring a target prediction road section;
acquiring the current tire pressure of the vehicle and the tire pressure increment of the target prediction section;
and obtaining a tire pressure predicted value of the vehicle after passing through the target prediction section according to the current tire pressure of the vehicle and the tire pressure increment of the target prediction section.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
acquiring a driving route planned according to the vehicle;
and obtaining a target predicted road section according to the position of the vehicle and the driving route.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
acquiring an initial pressure value of a tire of a passing vehicle passing through a target prediction road section at the starting end of the target prediction road section and a final pressure value of the tire at the tail end of the target prediction road section within a preset time period;
and obtaining the tire pressure increment of the passing vehicle passing through the target road section according to the final pressure value and the initial pressure value of the tire, and taking the tire pressure increment of the passing vehicle passing through the target road section as the tire pressure increment of the target prediction road section.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
acquiring tire parameters of the vehicle;
screening out vehicles matched with the tire parameters of the vehicle from the tire parameters of the passing vehicles as reference vehicles;
and acquiring the tire pressure values of the reference vehicle at the beginning and the end of the target prediction section.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
acquiring the current tire pressure of the vehicle;
and adding the tire pressure increment to the current tire pressure of the vehicle to obtain the predicted value of the tire pressure of the vehicle.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
if the predicted tire pressure value is less than or equal to the tire pressure threshold value, continuously obtaining the predicted tire pressure value of the next target predicted road section;
and if the predicted tire pressure value is larger than the tire pressure threshold value, an overpressure warning is sent out.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
in one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of:
acquiring a target prediction road section;
acquiring the current tire pressure of the vehicle and the tire pressure increment in the target prediction section;
and obtaining a tire pressure predicted value of the vehicle after passing through the target prediction section according to the current tire pressure of the vehicle and the tire pressure increment in the target prediction section.
In one embodiment, the computer program when executed by the processor further performs the steps of:
acquiring a planned driving route of the vehicle;
and obtaining a target predicted road section according to the position of the vehicle and the driving route.
In one embodiment, the computer program when executed by the processor further performs the steps of:
acquiring tire pressure information uploaded by passing vehicles passing through a target prediction road section within a preset time period;
acquiring tire pressure values of tires of the passing vehicle at the starting end and the tail end of the target prediction road section according to the tire pressure information;
and obtaining the tire pressure increment of the vehicle after passing through the target prediction road section according to the tire pressure value at the tail end of the target prediction road section and the tire pressure value at the starting end of the target prediction road section.
In one embodiment, the computer program when executed by the processor further performs the steps of:
acquiring tire parameters of the vehicle;
screening out vehicles matched with the tire parameters of the vehicle from the tire parameters of the passing vehicles as reference vehicles;
and acquiring the tire pressure values of the reference vehicle at the beginning and the end of the target prediction section.
In one embodiment, the computer program when executed by the processor further performs the steps of:
the step of obtaining a tire pressure prediction value according to the current tire pressure and the tire pressure increment in the target prediction section comprises:
acquiring the current tire pressure of the vehicle;
and adding the tire pressure increment to the current tire pressure of the vehicle to obtain the predicted value of the tire pressure of the vehicle.
In one embodiment, the computer program when executed by the processor further performs the steps of:
judging whether the predicted tire pressure value is greater than a tire pressure threshold value;
if the predicted tire pressure value is less than or equal to the tire pressure threshold value, continuously obtaining the predicted tire pressure value of the next target predicted road section;
and if the predicted tire pressure value is larger than the tire pressure threshold value, an overpressure warning is sent out.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (8)
1. A tire pressure prediction method, the method comprising:
acquiring a target prediction road section;
acquiring the current tire pressure of the vehicle and the tire pressure increment of the target prediction section;
obtaining a tire pressure predicted value of the vehicle after passing through the target prediction section according to the current tire pressure of the vehicle and the tire pressure increment of the target prediction section;
wherein the step of acquiring the current tire pressure of the host vehicle and the tire pressure increase of the target predicted section includes:
acquiring an initial pressure value of a tire of a passing vehicle passing through a target prediction road section in a preset time period at the starting end of the target prediction road section and a final pressure value of the tire at the tail end of the target prediction road section;
obtaining the tire pressure increment of the passing vehicle passing through the target prediction section according to the tire final pressure value and the tire initial pressure value, and taking the tire pressure increment of the passing vehicle passing through the target prediction section as the tire pressure increment of the target prediction section;
wherein the step of acquiring an initial pressure value of a tire of a passing vehicle passing through a target prediction section within a preset time period at the beginning of the target prediction section and a final pressure value of the tire at the end of the target prediction section further comprises:
acquiring tire parameters of the vehicle;
screening out vehicles matched with the tire parameters of the vehicle from the tire parameters of the passing vehicles as reference vehicles;
and acquiring the initial pressure value of the tire of the reference vehicle at the beginning of the target prediction section and the final pressure value of the tire at the end of the target prediction section.
2. The method of claim 1, wherein the step of obtaining a target predicted segment comprises:
acquiring a planned driving route of the vehicle;
and obtaining a target predicted road section according to the position of the vehicle and the driving route.
3. The method of claim 1, wherein the tire parameters include one or more of tire make, tire model, tire size, and tire age.
4. The method according to claim 1, wherein the step of obtaining a predicted tire pressure value based on the current tire pressure of the host vehicle and the tire pressure increase of the target predicted section comprises:
acquiring the current tire pressure of the vehicle;
and adding the tire pressure increment to the current tire pressure of the vehicle to obtain the predicted value of the tire pressure of the vehicle.
5. The method of claim 1, further comprising:
judging whether the predicted tire pressure value is greater than a tire pressure threshold value;
if the tire pressure predicted value is smaller than or equal to the tire pressure threshold value, continuously obtaining the tire pressure predicted value of the next target predicted road section;
and if the predicted tire pressure value is larger than the tire pressure threshold value, an overpressure warning is sent out.
6. A tire pressure prediction apparatus, the apparatus comprising:
the target road section obtaining module is used for obtaining a target prediction road section;
the tire pressure increment acquisition module is used for acquiring the current tire pressure of the vehicle and the tire pressure increment of the target prediction section;
the tire pressure prediction module is used for obtaining a tire pressure prediction value according to the current tire pressure of the vehicle and the tire pressure increment in the target prediction section;
wherein the tire pressure increase acquisition module is further configured to acquire the tire pressure increase of the target predicted section by:
acquiring an initial pressure value of a tire of a passing vehicle passing through a target prediction road section in a preset time period at the starting end of the target prediction road section and a final pressure value of the tire at the tail end of the target prediction road section;
obtaining the tire pressure increment of the passing vehicle passing through the target prediction section according to the tire final pressure value and the tire initial pressure value, and taking the tire pressure increment of the passing vehicle passing through the target prediction section as the tire pressure increment of the target prediction section;
wherein the obtaining of the initial pressure value of the tire of the passing vehicle passing through the target prediction section in the preset time period at the beginning of the target prediction section and the final pressure value of the tire at the end of the target prediction section further comprises:
acquiring tire parameters of the vehicle;
screening out vehicles matched with the tire parameters of the vehicle from the tire parameters of the passing vehicles as reference vehicles;
and acquiring the initial pressure value of the tire of the reference vehicle at the beginning of the target prediction section and the final pressure value of the tire at the end of the target prediction section.
7. A computer device comprising a memory and a processor, the memory storing a computer program, wherein the processor implements the steps of the method of any one of claims 1 to 5 when executing the computer program.
8. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 5.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
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CN201810686799.2A CN110654183B (en) | 2018-06-28 | 2018-06-28 | Tire pressure prediction method, tire pressure prediction device, computer equipment and storage medium |
Applications Claiming Priority (1)
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Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
DE102012206845A1 (en) * | 2012-04-25 | 2013-10-31 | Continental Teves Ag & Co. Ohg | Indirect tire pressure monitoring method for motor car, involves outputting warning if one of test values deviates from corresponding reference value by more than threshold value, where deviating test values are stored in digital memory |
CN107399209A (en) * | 2017-07-29 | 2017-11-28 | 千寻位置网络有限公司 | The monitoring method and system of vehicle tire pressure, car terminals, memory |
CN107539038A (en) * | 2017-06-06 | 2018-01-05 | 新华三技术有限公司 | A kind of vehicle tyre pressure method for monitoring state and device |
CN107719036A (en) * | 2016-08-12 | 2018-02-23 | 比亚迪股份有限公司 | The monitoring method and system of vehicle and its tire pressure |
CN107886715A (en) * | 2016-09-30 | 2018-04-06 | 日本电气株式会社 | The Forecasting Methodology and system of link travel time |
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CN104118284B (en) * | 2014-08-07 | 2016-08-24 | 深圳市元征科技股份有限公司 | Tyre Pressure Monitoring System and method |
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Publication number | Priority date | Publication date | Assignee | Title |
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DE102012206845A1 (en) * | 2012-04-25 | 2013-10-31 | Continental Teves Ag & Co. Ohg | Indirect tire pressure monitoring method for motor car, involves outputting warning if one of test values deviates from corresponding reference value by more than threshold value, where deviating test values are stored in digital memory |
CN107719036A (en) * | 2016-08-12 | 2018-02-23 | 比亚迪股份有限公司 | The monitoring method and system of vehicle and its tire pressure |
CN107886715A (en) * | 2016-09-30 | 2018-04-06 | 日本电气株式会社 | The Forecasting Methodology and system of link travel time |
CN107539038A (en) * | 2017-06-06 | 2018-01-05 | 新华三技术有限公司 | A kind of vehicle tyre pressure method for monitoring state and device |
CN107399209A (en) * | 2017-07-29 | 2017-11-28 | 千寻位置网络有限公司 | The monitoring method and system of vehicle tire pressure, car terminals, memory |
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