CN116533903B - Low-voltage early warning system and method based on automobile sensor - Google Patents
Low-voltage early warning system and method based on automobile sensor Download PDFInfo
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R16/00—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for
- B60R16/02—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements
- B60R16/023—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements for transmission of signals between vehicle parts or subsystems
- B60R16/0231—Circuits relating to the driving or the functioning of the vehicle
- B60R16/0232—Circuits relating to the driving or the functioning of the vehicle for measuring vehicle parameters and indicating critical, abnormal or dangerous conditions
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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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- 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
- B60C23/20—Devices for measuring or signalling tyre temperature only
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- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
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Abstract
Relates to the technical field of low-voltage early warning, in particular to a low-voltage early warning system and method based on an automobile sensor, comprising the following steps: the system comprises a first-stage detection module, a first-stage analysis module, a second-stage detection module, a second-stage analysis module, an early warning analysis module and a command execution module. The brightness of each vehicle lighting lamp in the corresponding set detection period of the automobile is detected, so that the brightness matching index of each vehicle lighting lamp in the corresponding set detection period of the automobile is analyzed, the low-voltage state of the vehicle battery is analyzed, the accuracy of the vehicle low-voltage early warning analysis result is greatly improved, the representativeness and the practicability of the vehicle low-voltage early warning analysis are enhanced, safety accidents caused by the low voltage of the vehicle battery are avoided to a great extent, and the practical application rate of the vehicle low-voltage early warning is greatly improved.
Description
Technical Field
The invention relates to the technical field of low-voltage early warning, in particular to a low-voltage early warning system and method based on an automobile sensor.
Background
The popularization of the automobile not only enables people to travel more conveniently and rapidly, but also greatly promotes economic development, improves living standard and increases convenience of travel. However, the following problem is that the safety performance of the vehicle, especially the low-pressure state of the vehicle, can greatly affect the driving safety performance of the vehicle, thereby highlighting the importance of early warning detection of the low-pressure state of the vehicle.
At present, the automobile industry mostly adopts a tire pressure monitoring system technology, can monitor the tire pressure state of a vehicle tire in real time and perform corresponding early warning when the tire pressure of the vehicle is lower than a safety standard, but omits detection and analysis on the light brightness of the automobile, cannot detect the low-pressure condition of a vehicle battery, and further causes one-sided performance of an early warning analysis result, thereby being not beneficial to effectively improving the safety performance of the vehicle and effectively reducing the occurrence rate of traffic accidents.
Disclosure of Invention
The invention aims to provide a low-voltage early warning system and method based on an automobile sensor. Meanwhile, the system can monitor various low-pressure conditions, and improves the safety performance of the vehicle.
The aim of the invention can be achieved by the following technical scheme: the first aspect of the invention provides a low-voltage early warning system based on an automobile sensor, which comprises:
the first-level detection module is used for detecting the tire state of each monitoring time point in the corresponding set detection period of the automobile to obtain the tire state parameters of each monitoring time point in the corresponding set detection period of the automobile.
As a further improvement of the present invention, the tire condition of each monitoring time point in the corresponding detection period of the automobile is detected by the following specific detection method:
the tire pressure sensor and the temperature sensor in the automobile sensor are used for respectively detecting the tire pressure and the tire temperature of each monitoring time point of each tire corresponding to the automobile in the set detection time period, so as to obtain the tire pressure of each monitoring time point of each tire corresponding to the automobile in the set detection time periodAnd (2) regulating the temperature of the fetus>i is denoted as the number of each tire, i=1, 2,..n, j is denoted as the number of each monitoring time point, j=1, 2,..m.
Detecting the driving distance of each tire corresponding to the automobile at each monitoring time point in the set detection time period through a high-definition camera in the automobile sensor, detecting the tire rotating speed of each tire corresponding to the automobile at each monitoring time point in the set detection time period through the automobile sensor, and obtaining the driving distance of each tire corresponding to the automobile at each monitoring time point in the set detection time periodTyre speed->
The ground temperature of each tire corresponding to the automobile at each monitoring time point in the set detection time period is monitored through the automobile sensor, so that the ground temperature of each tire corresponding to the automobile at each monitoring time point in the set detection time period is obtained through the automobile sensor
The first-level analysis module is used for analyzing the first evaluation coefficient of the automobile corresponding to the set detection period to obtain the first evaluation coefficient of the automobile corresponding to the set detection period.
As a further improvement of the present invention, the first evaluation coefficient of the corresponding set detection period of the automobile is analyzed in the following manner:
analyzing the tire pressure change evaluation index of each tire corresponding to the automobile in the set detection period based on the tire pressure of each monitoring time point of each tire corresponding to the automobile in the set detection period to obtain the tire pressure change evaluation index of each tire corresponding to the automobile in the set detection period
Analyzing the temperature change evaluation index of each tire corresponding to the automobile in the set detection period based on the temperature of the tire temperature and the ground of each monitoring time point of each tire corresponding to the automobile in the set detection period to obtain the temperature change evaluation index of each tire corresponding to the automobile in the set detection period
Analyzing the tire balance evaluation index of each monitoring time point in the corresponding set detection period of the automobile based on the driving distance and the tire rotation speed of each monitoring time point in the corresponding set detection period of the automobile to obtain the tire balance evaluation index of each monitoring time point in the corresponding set detection period of the automobile
And comprehensively analyzing the tire pressure change evaluation index, the temperature change evaluation index and the tire balance evaluation index of each monitoring time point in the set detection period corresponding to the automobile to obtain a first evaluation coefficient eta of the set detection period corresponding to the automobile.
And the secondary detection module is used for detecting the battery state of the automobile corresponding to the set detection period to obtain the battery state parameter of the automobile corresponding to the set detection period.
As a further improvement of the present invention, the battery state of the automobile corresponding to the set detection period is detected by the following specific detection method:
the method comprises the steps of obtaining the number of times of lighting the vehicle in a corresponding set detection period of the vehicle, and identifying the light types of lighting the vehicle in each time in the corresponding set detection period of the vehicle, wherein the light types include but are not limited to: automobile headlights, automobile taillights, automobile clearance lights and automobile brake lights. Obtaining the light types of the lights of each vehicle in the corresponding set detection time period of the automobile, matching the light types with the reference brightness corresponding to the set light types, obtaining the reference brightness of the lights of each vehicle in the corresponding set detection time period of the automobile, and marking the reference brightness as LD f ′。
The brightness sensor in the automobile sensor is used for detecting the brightness of each automobile in the corresponding set detection period of the automobile to obtain the brightness of each automobile in the corresponding set detection period of the automobile, and the brightness is recorded as LD f F is the number of each vehicle light, f=1, 2,..g.
And the second-stage analysis module is used for analyzing the second evaluation coefficient of the automobile corresponding to the set detection period to obtain the second evaluation coefficient of the automobile corresponding to the set detection period.
As a further improvement of the present invention, the second evaluation coefficient of the corresponding set detection period of the automobile is analyzed, and the specific analysis process is as follows:
and comparing and analyzing the brightness of each time of the vehicle lighting lamp in the corresponding set detection period of the automobile with the reference brightness of the corresponding time of the vehicle lighting lamp to obtain a second evaluation coefficient kappa of the corresponding set detection period of the automobile.
And the early warning analysis module is used for analyzing a third evaluation coefficient of the automobile corresponding to the set detection period and analyzing the early warning grade of the automobile corresponding to the set detection period to obtain the early warning grade of the automobile corresponding to the set detection period.
As a further improvement of the present invention, the third evaluation coefficient of the corresponding set detection period of the automobile is analyzed in the following manner:
and comprehensively analyzing the first evaluation coefficient and the second evaluation coefficient of the corresponding set detection period of the automobile to obtain a third evaluation coefficient xi of the corresponding set detection period of the automobile.
As a further improvement of the invention, the early warning grade of the corresponding detection period of the automobile is analyzed, and the specific analysis mode is as follows:
and matching the third evaluation coefficient corresponding to the set detection period of the automobile with the third evaluation coefficient threshold corresponding to each set early warning level to obtain the early warning level corresponding to the set detection period of the automobile.
And the command execution module is used for executing corresponding early warning commands based on the early warning grade of the corresponding detection period set by the automobile.
The second aspect of the invention provides a low-voltage early warning method based on an automobile sensor, which comprises the following steps:
w1, first-order detection analysis: detecting the tire state of each monitoring time point in the corresponding set detection period of the automobile through a primary detection module, and analyzing a first evaluation coefficient of the corresponding set detection period of the automobile through a primary analysis module;
w2, second-level detection analysis: detecting the battery state of the automobile corresponding to the set detection period through a secondary detection module, and analyzing a second evaluation coefficient of the automobile corresponding to the set detection period through a secondary analysis module;
w3, early warning analysis: analyzing a third evaluation coefficient of the corresponding set detection period of the automobile through an early warning analysis module, and analyzing early warning grades of the corresponding set detection period of the automobile;
w4, command execution: and executing corresponding early warning commands based on the early warning grades of the corresponding detection time periods of the automobiles by the command execution module.
The invention has the beneficial effects that:
according to the invention, the tire pressure and the tire temperature of each tire corresponding to each monitoring time point in the set detection time period are detected, so that the tire pressure change evaluation index and the temperature change evaluation index of each tire corresponding to the automobile in the set detection time period are analyzed, the automobile tire change is evaluated and analyzed from multiple dimensions, the accuracy and the reliability of the automobile tire change analysis result are greatly improved, and meanwhile, a powerful data support is provided for the subsequent automobile corresponding low-pressure early warning analysis.
According to the invention, the tire rotation speed and the driving distance of each monitoring time point of each tire corresponding to the automobile in the set detection time period are detected, so that the tire balance evaluation index of each monitoring time point of the automobile in the corresponding set detection time period is analyzed, the running parameter state among the tires can be intuitively known, and the condition of low-pressure abnormality of the automobile caused by abnormality of a single tire is considered through mutual comparison among the tires.
According to the invention, the brightness of each vehicle lighting lamp in the corresponding set detection period of the vehicle is detected, so that the brightness matching index of each vehicle lighting lamp in the corresponding set detection period of the vehicle is analyzed, the low-voltage state of the vehicle battery is analyzed, the accuracy of the vehicle low-voltage early warning analysis result is greatly improved, the representativeness and the practicability of the vehicle low-voltage early warning analysis are enhanced, the safety accidents caused by the low voltage of the vehicle battery are avoided to a great extent, and the actual application rate of the vehicle low-voltage early warning is greatly improved.
Drawings
The invention is further described below with reference to the accompanying drawings.
Fig. 1 is a system block diagram of the present invention.
FIG. 2 is a flow chart of the method steps of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, a first aspect of the present invention provides a low-voltage early warning method based on an automobile sensor, including: the system comprises a first-stage detection module, a first-stage analysis module, a second-stage detection module, a second-stage analysis module, an early warning analysis module and a command execution module.
The primary detection module is used for detecting the tire state of each monitoring time point in the corresponding detection period of the automobile, and the specific detection steps are as follows:
detecting points are uniformly distributed on the corresponding tires of the automobile, the tire pressure of the corresponding detection points of each monitoring time point of each tire in the set detection period is detected through the tire pressure sensor in the automobile sensor, the tire pressure of the corresponding detection points of each monitoring time point of each tire in the set detection period is obtained, the average value is calculated, and the average tire pressure of the corresponding monitoring time points of each tire in the set detection period is taken as the tire pressure of the corresponding monitoring time point of each tire of the automobile in the set detection periodi is denoted as the number of each tire, i=1, 2,..n, j is denoted as the number of each monitoring time point, j=1, 2,..m.
Detecting the tire temperature of each tire corresponding to each detection point at each monitoring time point in the set detection time period through a temperature sensor in the automobile sensor to obtain the tire temperature of each tire corresponding to each detection point at each monitoring time point in the set detection time period, calculating the average value of the tire temperature, and leveling each tire corresponding to each monitoring time point in the set detection time periodThe uniform tire temperature is used as the tire temperature of each monitoring time point of each corresponding tire in the set detection period
Detecting the driving distance of each monitoring time point of each tire corresponding to the automobile in the set detection time period by using a high-definition camera in an automobile sensor to obtain the driving distance of each monitoring time point of each tire corresponding to the automobile in the set detection time period
The tyre rotation speed of each monitoring time point of each tyre corresponding to the automobile in the set detection time period is detected by a high-definition camera in the automobile sensor, and the specific detection mode is as follows: obtaining the number of turns of the tire corresponding to each monitoring time point of each tire in the set detection period, dividing the driving distance of each monitoring time point of each tire in the set detection period by the number of turns of the tire corresponding to each monitoring time point of each tire in the set detection period to obtain the rotational speed of the tire corresponding to each monitoring time point of each tire in the set detection period
The ground temperature of each tire corresponding to the automobile at each monitoring time point in the set detection time period is monitored through the automobile sensor, so that the ground temperature of each tire corresponding to the automobile at each monitoring time point in the set detection time period is obtained through the automobile sensor
The automobile sensor specifically comprises: tire pressure sensor, temperature sensor, high definition digtal camera, luminance sensor.
The first-level analysis module is used for analyzing a first evaluation coefficient of a corresponding set detection period of the automobile, and the specific analysis process is as follows:
setting and detecting corresponding tires of automobileThe average value calculation is carried out on the tire pressure of each monitoring time point in the time period to obtain the average tire pressure of each tire corresponding to the automobile in the set detection time period, and the average tire pressure is recorded asAccording to the formulaCalculating tire pressure change evaluation index of each tire corresponding to the automobile in a set detection period>e is expressed as a natural constant +.>Tire pressure, TY, indicated as the j-1 th monitoring time point of the set tire of the corresponding ith tire of the automobile in the set detection period 1 i The tire pressure indicated as the 1 st monitoring time point in the set detection period of the set vehicle corresponding ith tire, and a1, a2 are respectively indicated as set scale factors.
According to the formulaCalculating the temperature change evaluation index of each tire corresponding to the automobile in the set detection period> Wen Chalv, which is expressed as the jth monitoring time point of the corresponding ith tire of the automobile in the set detection period, wherein Wen Chalv represents the temperature difference between the tire temperature and the ground temperature,/>The temperature difference rate of the j-1 th monitoring time point in the set detection period, which is expressed as the i-th tire of the automobile,/for>The temperature difference rate of the ith tire of the automobile at the 1 st monitoring time point in the set detection period is respectively expressed as set scale factors a3 and a 4.
In a specific embodiment, the tire pressure and the tire temperature and the ground temperature of each monitoring time point of each tire corresponding to the automobile in the set detection period are detected, so that the tire pressure change evaluation index and the temperature change evaluation index of each tire corresponding to the automobile in the set detection period are analyzed, the automobile tire change is evaluated and analyzed from multiple dimensions, the accuracy and the reliability of an automobile tire change analysis result are greatly improved, and meanwhile, a powerful data support is provided for the subsequent automobile corresponding low-pressure early warning analysis.
According to the formulaCalculating a tire balance evaluation index ++for each monitoring time point in the corresponding set detection period of the automobile> Expressed as the running distance,/, of the i-th tire of the car at j monitoring time points in the set detection period>The tire rotational speeds of the ith tire corresponding to the automobile at j monitoring time points in the set detection period are respectively represented as a set allowable travel distance difference and an allowable tire rotational speed difference, and a5 and a6 are respectively represented as weight factors corresponding to the set travel distance and the tire rotational speed.
In a specific embodiment, the invention detects the tire rotation speed and the driving distance of each monitoring time point of each tire in the set detection period, so as to analyze the tire balance evaluation index of each monitoring time point in the set detection period, intuitively understand the running parameter state among each tire, and consider the situation of low pressure abnormality of the vehicle caused by abnormality of single tire through mutual comparison among each tire.
Extracting a maximum tire pressure change evaluation index and a minimum tire pressure change evaluation index from tire pressure change evaluation indexes of corresponding tires of an automobile in a set detection period, respectively recording asAnd->Extracting a maximum temperature change evaluation index and a minimum temperature change evaluation index from the temperature change evaluation indexes of the corresponding tires of the automobile in a set detection period, respectively marking asAnd->
Average value calculation is carried out on the tire balance evaluation indexes of each monitoring time point in the corresponding set detection time period of the automobile to obtain a measured tire balance evaluation index of the corresponding set detection time period of the automobile, and the measured tire balance evaluation index is marked as gamma 3 。
According to the formulaCalculating a first evaluation coefficient eta, delta gamma of the corresponding set detection period of the automobile 1 、Δγ 2 Respectively expressed as a set reference tire pressure variation evaluation index difference and a set reference temperature variation evaluation index difference, and b1, b2, b3 are respectively expressed as set weight factors.
The secondary detection module is used for detecting the battery state of the automobile corresponding to the set detection period, and the specific detection process is as follows:
the method comprises the steps of obtaining the number of times of lighting the vehicle in a corresponding set detection period of the vehicle, and identifying the light types of lighting the vehicle in each time in the corresponding set detection period of the vehicle, wherein the light types include but are not limited to: automobile headlights, automobile taillights, automobile clearance lights and automobile brake lights. Obtaining the light types of the lights of each vehicle in the corresponding set detection time period of the automobile, matching the light types with the reference brightness corresponding to the set light types, obtaining the reference brightness of the lights of each vehicle in the corresponding set detection time period of the automobile, and marking the reference brightness as LD f ′。
The brightness sensor in the automobile sensor is used for detecting the brightness of each automobile in the corresponding set detection period of the automobile to obtain the brightness of each automobile in the corresponding set detection period of the automobile, and the brightness is recorded as LD f F is the number of each vehicle light, f=1, 2,..g.
The second-stage analysis module is used for analyzing a second evaluation coefficient of the corresponding set detection period of the automobile, and the specific analysis mode is as follows:
according to the formulaCalculating the brightness matching index lambda of the f-th vehicle lighting lamp in the corresponding set detection period of the vehicle f Z is a natural number, and Δld is a set allowable luminance difference.
According to the formulaAnd calculating a second evaluation coefficient kappa corresponding to the set detection period of the automobile, wherein lambda' is expressed as a set reference brightness matching index.
In a specific embodiment, the invention detects the brightness of each lighting lamp of the vehicle in the corresponding set detection period of the vehicle, so as to analyze the brightness matching index of each lighting lamp of the vehicle in the corresponding set detection period of the vehicle, thereby realizing the analysis of the low-voltage state of the vehicle battery, greatly improving the accuracy of the low-voltage early warning analysis result of the vehicle, enhancing the representativeness and the practicability of the low-voltage early warning analysis of the vehicle, avoiding the safety accident caused by the low voltage of the vehicle battery to a great extent and greatly improving the actual application rate of the low-voltage early warning of the vehicle.
The early warning analysis module is used for analyzing a third evaluation coefficient of the corresponding set detection period of the automobile, and the specific analysis formula is as follows:
according to the formulaAnd calculating a third evaluation coefficient xi, beta and epsilon of the automobile corresponding to the set detection period, wherein the third evaluation coefficient xi, beta and epsilon are respectively expressed as set weight factors.
The early warning analysis module is used for analyzing the early warning grade of the corresponding set detection period of the automobile, and the specific analysis mode is as follows:
and matching the third evaluation coefficient corresponding to the set detection period of the automobile with the third evaluation coefficient threshold corresponding to each set early warning level to obtain the early warning level corresponding to the set detection period of the automobile.
And the command execution module is used for executing corresponding early warning commands based on the early warning grade of the corresponding detection period set by the automobile.
Referring to fig. 2, a second aspect of the present invention provides a low-voltage early warning method based on an automobile sensor, comprising the following steps:
w1, first-order detection analysis: the tire state of each monitoring time point in the corresponding detection period of the automobile is detected by the primary detection module, and the specific detection mode is as follows:
the tire pressure sensor is used for detecting the tire pressure of each monitoring time point of each tire corresponding to the automobile in the set detection time period, the temperature sensor is used for detecting the temperature of the tire temperature and the ground of each monitoring time point of each tire corresponding to the automobile in the set detection time period, and the high-definition camera is used for detecting the driving distance and the tire rotating speed of each monitoring time point of each tire corresponding to the automobile in the set detection time period.
W1, first-order detection analysis: the first evaluation coefficient of the corresponding set detection period of the automobile is analyzed through a first-level analysis module, and the specific analysis mode is as follows:
and carrying out average value calculation on the tire pressures of the tires corresponding to the automobile at each monitoring time point in the set detection period to obtain the average tire pressures of the tires corresponding to the automobile at the set detection period, and analyzing the tire pressure change evaluation index of the tires corresponding to the automobile at the set detection period based on the tire pressures of the tires corresponding to the average tire pressures of the tires corresponding to the automobile at the set detection period in the set detection period.
And analyzing the temperature change evaluation index of each tire corresponding to the automobile in the set detection period based on the temperature of the tire temperature and the ground temperature of each monitoring time point of each tire corresponding to the automobile in the set detection period.
And analyzing the tire balance evaluation index of each monitoring time point in the corresponding set detection period of the automobile based on the driving distance and the tire rotation speed of each monitoring time point in the corresponding set detection period of the automobile.
The maximum tire pressure change evaluation index and the minimum tire pressure change evaluation index are extracted from the tire pressure change evaluation indexes of the corresponding tires of the automobile in the set detection period, and the maximum temperature change evaluation index and the minimum temperature change evaluation index are extracted from the temperature change evaluation indexes of the corresponding tires of the automobile in the set detection period.
And carrying out average value calculation on the tire balance evaluation indexes of each monitoring time point in the corresponding set detection time period of the automobile to obtain the measured tire balance evaluation indexes of the corresponding set detection time period of the automobile.
The first evaluation coefficient of the corresponding set detection period of the automobile is analyzed based on the maximum tire pressure variation evaluation index, the minimum tire pressure variation evaluation index, the maximum temperature variation evaluation index, the minimum temperature variation evaluation index, and the measured tire balance evaluation index.
W2, second-level detection analysis: the battery state of the corresponding detection period of the automobile is detected through a secondary detection module, and the specific detection mode is as follows:
the method comprises the steps of obtaining the number of times of lighting the vehicle in a corresponding set detection period of the vehicle, and identifying the light types of lighting the vehicle in each time in the corresponding set detection period of the vehicle, wherein the light types include but are not limited to: automobile headlights, automobile taillights, automobile clearance lights and automobile brake lights. And obtaining the light types of the lights of the vehicles in the corresponding set detection time period of the automobile, and matching the light types with the reference brightness corresponding to the set light types to obtain the reference brightness of the lights of the vehicles in the corresponding set detection time period of the automobile.
And detecting the lighting brightness of each lighting of the vehicles in the corresponding set detection time period of the automobile through a brightness sensor in the automobile sensor to obtain the lighting brightness of each lighting of the vehicles in the corresponding set detection time period of the automobile.
W2, second-level detection analysis: the second evaluation coefficient of the corresponding set detection period of the automobile is analyzed through a second-stage analysis module, and the specific analysis steps are as follows:
and analyzing the brightness matching index of each vehicle lighting in the corresponding set detection period of the automobile based on the lighting brightness of each vehicle lighting in the corresponding set detection period of the automobile and the reference brightness of each vehicle lighting in the corresponding set detection period of the automobile.
And analyzing a second evaluation coefficient of the corresponding set detection period of the automobile based on the brightness matching index analysis of the lighting lamps of each vehicle in the corresponding set detection period of the automobile.
W3, early warning analysis: the third evaluation coefficient of the corresponding set detection period of the automobile is analyzed through the early warning analysis module, and the specific analysis mode is as follows: and comprehensively analyzing the first evaluation coefficient and the second evaluation coefficient of the automobile corresponding to the set detection period to obtain a third evaluation coefficient of the automobile corresponding to the set detection period.
W3, early warning analysis: the early warning grade of the corresponding detection period of the automobile is analyzed, and the specific analysis mode is as follows: and matching the third evaluation coefficient corresponding to the set detection period of the automobile with the third evaluation coefficient threshold corresponding to each set early warning level to obtain the early warning level corresponding to the set detection period of the automobile.
W4, command execution: and executing corresponding early warning commands based on the early warning grades of the corresponding detection time periods of the automobiles by the command execution module.
The foregoing is merely illustrative of the structures of this invention and various modifications, additions and substitutions for those skilled in the art can be made to the described embodiments without departing from the scope of the invention or from the scope of the invention as defined in the accompanying claims.
Claims (4)
1. A low pressure warning system based on automotive sensors, comprising:
the first-level detection module is used for detecting the tire state of each monitoring time point in the corresponding set detection period of the automobile to obtain the tire state parameters of each monitoring time point in the corresponding set detection period of the automobile, and comprises the following components: tire pressure of each monitoring time point of each tire in set detection period corresponding to automobileFetal temperature->Distance travelled->Tyre speed->And ground temperaturei is denoted as the number of each tire, i=1, 2,..n, j is denoted as the number of each monitoring time point, j=1, 2,..m;
the first-level analysis module is used for analyzing the first evaluation coefficient of the corresponding set detection time period of the automobile based on the tire state parameters of each monitoring time point in the corresponding set detection time period of the automobile to obtain the first evaluation coefficient of the corresponding set detection time period of the automobile, and the specific analysis process is as follows:
the average value calculation is carried out on the tire pressure of each monitoring time point of each tire corresponding to the automobile in the set detection period to obtain the average tire pressure of each tire corresponding to the automobile in the set detection period, and the average tire pressure is recorded asAccording to the formulaCalculating tire pressure change evaluation index of each tire corresponding to the automobile in a set detection period>e is expressed as a natural constant +.>Tire pressure, expressed as the j-1 th monitoring time point in the set detection period, of the set vehicle corresponding ith tire,/->The tire pressure of the 1 st monitoring time point of the set automobile corresponding to the ith tire in the set detection period is shown, and a1 and a2 are respectively shown as set scale factors;
according to the formulaCalculating the temperature change evaluation index of each tire corresponding to the automobile in the set detection period> Wen Chalv, which is expressed as the jth monitoring time point of the corresponding ith tire of the automobile in the set detection period, wherein Wen Chalv represents the temperature difference between the tire temperature and the ground temperature,/>The temperature difference rate of the j-1 th monitoring time point in the set detection period, which is expressed as the i-th tire of the automobile,/for>The temperature difference rate of the ith tire corresponding to the automobile at the 1 st monitoring time point in the set detection period, and a3 and a4 are respectively expressed as set scale factors;
extracting a maximum tire pressure change evaluation index and a minimum tire pressure change evaluation index from tire pressure change evaluation indexes of corresponding tires of an automobile in a set detection period, respectively recording asAnd->Extracting a maximum temperature change evaluation index and a minimum temperature change evaluation index from the temperature change evaluation indexes of the corresponding tires of the automobile in a set detection period, respectively marking as +.>And
according to the formulaCalculating a tire balance evaluation index ++for each monitoring time point in the corresponding set detection period of the automobile> Expressed as the running distance,/, of the i-th tire of the car at j monitoring time points in the set detection period>The tire rotation speeds of the ith tire corresponding to the automobile at j monitoring time points in the set detection period are respectively represented as a set allowed travel distance difference and a set allowed tire rotation speed difference, and a5 and a6 are respectively represented as weight factors corresponding to the set travel distance and the tire rotation speed;
according to the formulaCalculating a first evaluation coefficient eta, delta gamma of the corresponding set detection period of the automobile 1 、Δγ 2 Respectively representing as set reference tire pressure change evaluation index differences and reference temperature change evaluation index differences, and respectively representing b1, b2 and b3 as set weight factors;
the second-level detection module is used for detecting the battery state of the automobile corresponding to the set detection period to obtain the battery state parameter of the automobile corresponding to the set detection period, and comprises the following components: reference brightness LD of each vehicle lighting in corresponding set detection period of automobile f ' Lighting brightness LD f F is the number of each lighting of the vehicle, f=1, 2,;
the second-stage analysis module is used for analyzing the second evaluation coefficient of the corresponding set detection period of the automobile based on the battery state parameter of the corresponding set detection period of the automobile, so as to obtain the second evaluation coefficient of the corresponding set detection period of the automobile, and the specific analysis mode is as follows:
according to the formulaCalculating the f-th time in the corresponding set detection period of the automobileBrightness matching index lambda for lighting vehicle f Z is a natural number, and Δld is a set allowable luminance difference;
according to the formulaCalculating a second evaluation coefficient kappa corresponding to the set detection period of the automobile, wherein lambda' is expressed as a set reference brightness matching index;
the early warning analysis module is used for analyzing a third evaluation coefficient of the corresponding set detection period of the automobile based on the first evaluation coefficient and the second evaluation coefficient of the corresponding set detection period of the automobile, and a specific analysis formula is as follows: according to the formulaCalculating a third evaluation coefficient xi, beta and epsilon of the automobile corresponding to the set detection period, wherein the third evaluation coefficient xi, beta and epsilon are respectively expressed as set weight factors; and analyzing the early warning grade of the automobile corresponding to the set detection period to obtain the early warning grade of the automobile corresponding to the set detection period, wherein the specific analysis mode is as follows: matching a third evaluation coefficient corresponding to the set detection period of the automobile with a third evaluation coefficient threshold corresponding to each set early warning level to obtain an early warning level corresponding to the set detection period of the automobile;
and the command execution module is used for executing corresponding early warning commands based on the early warning grade of the corresponding detection period set by the automobile.
2. The low-voltage early warning system based on an automobile sensor according to claim 1, wherein the detection of the tire state of each monitoring time point in the corresponding set detection period of the automobile is specifically performed by the following detection modes:
detecting the tire pressure and the tire temperature of each tire corresponding to the automobile at each monitoring time point in the set detection time period through an automobile sensor to obtain the tire pressure of each tire corresponding to the automobile at each monitoring time point in the set detection time periodAnd (2) regulating the temperature of the fetus>
Detecting the driving distance of each tire corresponding to the automobile at each monitoring time point in the set detection time period through an automobile sensor, detecting the tire rotating speed of each tire corresponding to the automobile at each monitoring time point in the set detection time period through the automobile sensor, and obtaining the driving distance of each tire corresponding to the automobile at each monitoring time point in the set detection time periodTyre speed
The ground temperature of each tire corresponding to the automobile at each monitoring time point in the set detection time period is monitored through the automobile sensor, so that the ground temperature of each tire corresponding to the automobile at each monitoring time point in the set detection time period is obtained through the automobile sensor
3. The low-voltage early warning system based on an automobile sensor according to claim 1, wherein the detection of the battery state of the automobile corresponding to the set detection period is performed by the following specific detection modes:
the method comprises the steps of obtaining the number of times of lighting the vehicle in a corresponding set detection period of the vehicle, identifying the light type of each time of lighting the vehicle in the corresponding set detection period of the vehicle to obtain the light type of each time of lighting the vehicle in the corresponding set detection period of the vehicle, and matching the light type with the set reference brightness corresponding to each light type to obtain the reference brightness LD of each time of lighting the vehicle in the corresponding set detection period of the vehicle f ′；
The automobile sensor correspondingly sets the lighting of each automobile in the detection periodThe brightness of the lighting lamp is detected to obtain the lighting lamp brightness LD of each lighting lamp of the vehicle in the corresponding set detection period of the vehicle f 。
4. A low-pressure warning method of a low-pressure warning system based on an automobile sensor according to any one of claims 1 to 3, comprising:
w1, first-order detection analysis: detecting the tire state of each monitoring time point in the corresponding set detection period of the automobile through a primary detection module, and analyzing a first evaluation coefficient of the corresponding set detection period of the automobile through a primary analysis module;
w2, second-level detection analysis: detecting the battery state of the automobile corresponding to the set detection period through a secondary detection module, and analyzing a second evaluation coefficient of the automobile corresponding to the set detection period through a secondary analysis module;
w3, early warning analysis: analyzing a third evaluation coefficient of the corresponding set detection period of the automobile through an early warning analysis module, and analyzing early warning grades of the corresponding set detection period of the automobile;
w4, command execution: and executing corresponding early warning commands based on the early warning grades of the corresponding detection time periods of the automobiles by the command execution module.
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