CN117382791A - Induction type automatic alarm system applied to electric bicycle - Google Patents
Induction type automatic alarm system applied to electric bicycle Download PDFInfo
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- CN117382791A CN117382791A CN202311674615.8A CN202311674615A CN117382791A CN 117382791 A CN117382791 A CN 117382791A CN 202311674615 A CN202311674615 A CN 202311674615A CN 117382791 A CN117382791 A CN 117382791A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B62—LAND VEHICLES FOR TRAVELLING OTHERWISE THAN ON RAILS
- B62M—RIDER PROPULSION OF WHEELED VEHICLES OR SLEDGES; POWERED PROPULSION OF SLEDGES OR SINGLE-TRACK CYCLES; TRANSMISSIONS SPECIALLY ADAPTED FOR SUCH VEHICLES
- B62M6/00—Rider propulsion of wheeled vehicles with additional source of power, e.g. combustion engine or electric motor
- B62M6/40—Rider propelled cycles with auxiliary electric motor
- B62M6/45—Control or actuating devices therefor
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B62—LAND VEHICLES FOR TRAVELLING OTHERWISE THAN ON RAILS
- B62J—CYCLE SADDLES OR SEATS; AUXILIARY DEVICES OR ACCESSORIES SPECIALLY ADAPTED TO CYCLES AND NOT OTHERWISE PROVIDED FOR, e.g. ARTICLE CARRIERS OR CYCLE PROTECTORS
- B62J45/00—Electrical equipment arrangements specially adapted for use as accessories on cycles, not otherwise provided for
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B62—LAND VEHICLES FOR TRAVELLING OTHERWISE THAN ON RAILS
- B62J—CYCLE SADDLES OR SEATS; AUXILIARY DEVICES OR ACCESSORIES SPECIALLY ADAPTED TO CYCLES AND NOT OTHERWISE PROVIDED FOR, e.g. ARTICLE CARRIERS OR CYCLE PROTECTORS
- B62J45/00—Electrical equipment arrangements specially adapted for use as accessories on cycles, not otherwise provided for
- B62J45/20—Cycle computers as cycle accessories
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B62—LAND VEHICLES FOR TRAVELLING OTHERWISE THAN ON RAILS
- B62J—CYCLE SADDLES OR SEATS; AUXILIARY DEVICES OR ACCESSORIES SPECIALLY ADAPTED TO CYCLES AND NOT OTHERWISE PROVIDED FOR, e.g. ARTICLE CARRIERS OR CYCLE PROTECTORS
- B62J50/00—Arrangements specially adapted for use on cycles not provided for in main groups B62J1/00 - B62J45/00
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Abstract
The invention discloses an induction type automatic alarm system applied to an electric bicycle, which relates to the technical field of electric bicycle alarm, wherein a data calculation module is used for comprehensively calculating the environment visibility, the road traffic index, the brake abnormality index and the tire pressure deviation value to obtain a running coefficient after respectively endowing the environment visibility, the road traffic index, the brake abnormality index and the tire pressure deviation value with proportional coefficients, an analysis module is used for comparing the running coefficient with a preset gradient threshold value, analyzing whether the electric bicycle needs to be warned or limited according to the comparison result, and an intelligent speed limiting module is used for automatically adjusting the maximum running speed of the electric bicycle according to the analysis result and prompting a driver, wherein the alarm module is used for sending a warning signal to the driver. The alarm system can integrate the self state and environmental information of the electric bicycle, so that intelligent speed limiting adjustment is performed, and a warning is sent to a driver, and the running safety of the electric bicycle is greatly improved.
Description
Technical Field
The invention relates to the technical field of electric bicycle alarming, in particular to an induction type automatic alarming system applied to an electric bicycle.
Background
Electric Bicycles, also known as Electric-bikes (abbreviated as e-bikes), are Bicycles that use Electric drive systems to assist riding, which combine conventional Bicycles with Electric drive systems to provide a more relaxed, efficient riding experience, and induction-type automatic alarm systems are safety devices for Electric Bicycles, aimed at improving the safety of riders and pedestrians and reducing the possibility of accidents.
The prior art has the following defects:
the electric bicycle with the alarm system usually sends an alarm prompt to a driver when detecting that the periphery of the electric bicycle has an abnormality affecting the safe running of the electric bicycle, however, in actual use, the safe running of the electric bicycle can not only be affected by the surrounding environment, but also be affected by the self state of the electric bicycle (such as brake failure), and the alarm system cannot comprehensively analyze the state and the surrounding environment of the electric bicycle to intelligently limit the speed and remind the driver, so that the safe running of the electric bicycle cannot be guaranteed.
Disclosure of Invention
The invention aims to provide an induction type automatic alarm system applied to an electric bicycle, which aims to solve the defects in the background technology.
In order to achieve the above object, the present invention provides the following technical solutions: an induction type automatic alarm system applied to an electric bicycle comprises an environment monitoring module, a vehicle monitoring module, a data extraction module, a data calculation module, an analysis module, an intelligent speed limiting module and an alarm module;
and the environment monitoring module is used for: during the running process of the electric bicycle, the environmental information around the electric bicycle is automatically monitored, and the environmental information is preprocessed;
the vehicle monitoring module: in the running process of the electric bicycle, automatically monitoring the vehicle information of the electric bicycle, and preprocessing the vehicle information;
and a data extraction module: extracting environment visibility and road traffic index in the environment information, and extracting a brake abnormality index and a tire pressure deviation value in the vehicle information;
and a data calculation module: after the environmental visibility, the road traffic index, the brake abnormality index and the tire pressure deviation value are respectively endowed with the proportion coefficients, the environmental visibility, the road traffic index, the brake abnormality index and the tire pressure deviation value are comprehensively calculated to obtain the running coefficients;
and an analysis module: comparing the running coefficient with a preset gradient threshold value, and analyzing whether warning is required to be sent out or the electric bicycle is required to be limited according to the comparison result;
an intelligent speed limiting module: automatically adjusting the maximum running speed of the electric bicycle according to the analysis result, and prompting the driver;
and an alarm module: and when the analysis needs to give out an alarm, the alarm is used for giving out an alarm signal to the driver.
Preferably, the data calculation module comprehensively calculates the environmental visibility, the road traffic index, the brake abnormality index and the tire pressure deviation value as the running coefficientThe expression is:
in the method, in the process of the invention,in order for the visibility of the environment to be present,as the road traffic index, the number of road traffic points,in order to provide an index of the abnormality of the brake,as the tire pressure deviation value,、、、the ratio coefficients of the environmental visibility, the road traffic index, the brake abnormality index and the tire pressure deviation value are respectively larger than 0.
Preferably, the gradient threshold includes a first threshold Y1, a second threshold Y2, and a third threshold Y3, where the first threshold is smaller than the second threshold and smaller than the third threshold, the second threshold y2=0.9×third threshold Y3, and the first threshold y1=0.9×second threshold Y2.
Preferably, the analysis module obtains a running coefficientAfter the value, the running coefficient is calculatedComparing the value with a first threshold Y1, a second threshold Y2 and a third threshold Y3;
if the driving coefficient isThe value is more than or equal to a third threshold Y3, and the analysis module analyzes the running safety of the electric bicycle without giving a warning or limiting the speed of the electric bicycle;
if the driving coefficient isThe value is smaller than a first threshold Y1, and the analysis module analyzes that the electric bicycle is unsafe to run and needs to send out an alarm.
Preferably, the analysis module judges that the first threshold Y1 is less than or equal to the driving coefficientThe value is less than the second threshold value Y2 or the second threshold value Y2 is less than or equal to the running coefficientWhen the value is smaller than the third threshold Y3, the maximum speed limit of the electric bicycle is recalculated, the corrected speed limit is obtained, and the expression is as follows:
in the method, in the process of the invention,in order to correct the speed limit,for the initial maximum speed limit to be reached,for the running coefficient, Y1 is a first threshold, Y2 is a second threshold, and Y3 is a third threshold.
Preferably, the calculation expression of the environmental visibility is:
in the method, in the process of the invention,in order for the visibility of the environment to be present,is the Vierlen scattering coefficient, which represents the concentration of particles in the atmosphere and the scattering characteristics of light, and k is greater than 0,indicating the diameter of the object on the path of travel.
Preferably, the calculation expression of the road traffic index is:
in the method, in the process of the invention,as the road traffic index, the number of road traffic points,in practice for electric bicyclesThe traction force during the running process is calculated,is the theoretical traction force of the electric bicycle.
Preferably, the calculation expression of the abnormal brake index is:
in the method, in the process of the invention,in order to provide an index of the abnormality of the brake,for the real-time braking force variation,for the period of the brake cable loosening early warning,and (5) a time period for early warning of brake disc wear.
Preferably, the calculation expression of the tire pressure deviation value is:
in the method, in the process of the invention,as the tire pressure deviation value,representing the actual tire pressure of the vehicle tires,representing the standard tire pressure of a vehicle tire.
In the technical scheme, the invention has the technical effects and advantages that:
according to the invention, the data extraction module is used for extracting the environment visibility and the road passing index in the environment information, extracting the brake abnormality index and the tire pressure deviation value in the vehicle information, the data calculation module is used for comprehensively calculating the driving coefficient obtained by respectively endowing the environment visibility, the road passing index, the brake abnormality index and the tire pressure deviation value with the proportionality coefficient, the analysis module is used for comparing the driving coefficient with a preset gradient threshold value, analyzing whether the driving coefficient needs to send out a warning or limit the speed of the electric bicycle according to the comparison result, and the intelligent speed limiting module is used for automatically regulating the maximum driving speed of the electric bicycle according to the analysis result and prompting the driver. The alarm system can integrate the self state and environmental information of the electric bicycle, so that intelligent speed limiting adjustment is performed, and a warning is sent to a driver, and the running safety of the electric bicycle is greatly improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments described in the present invention, and other drawings may be obtained according to these drawings for a person having ordinary skill in the art.
FIG. 1 is a block diagram of a system according to the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. 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.
Example 1: referring to fig. 1, the induction type automatic alarm system for electric bicycles according to the present embodiment includes an environment monitoring module, a vehicle monitoring module, a data extraction module, a data calculation module, an analysis module, an intelligent speed limiting module and an alarm module;
and the environment monitoring module is used for: in the running process of the electric bicycle, the environmental information around the electric bicycle is automatically monitored, and the environmental information is preprocessed and then sent to the data extraction module, and the method comprises the following steps:
sensor deployment: different types of sensors, such as cameras, radars, ultrasonic sensors, infrared sensors and the like, are deployed on the electric bicycle so as to monitor surrounding environments, and the sensors can capture information of road conditions, traffic conditions, obstacles, pedestrians, other vehicles and the like;
and (3) data acquisition: the sensor collects environmental data in real time, including various parameters such as images, sounds, distances, speeds, temperatures and the like, and the data are used for analyzing the surrounding conditions of the electric bicycle;
and (3) data processing: the environmental monitoring module pre-processes the collected data, which may include noise filtering, data compression, data correction, and time stamping of the data;
data analysis: analyzing the preprocessed data to detect potential dangerous or abnormal conditions, which may include detecting obstacles in front, identifying road signs, detecting other vehicles or pedestrians, evaluating the level of road surface slippery, etc.;
and (3) detecting danger: when the monitoring module identifies a potentially dangerous situation, such as an obstacle ahead, an emergency braking situation, or a traffic rule violation, it generates an alert signal;
and (3) data extraction: the generated environmental information and alert signal will be extracted for use by the control system and rider of the electric bicycle, which may involve sending the information to a control unit (ECU) or display screen of the electric bicycle;
warning and reaction: according to the analysis result of the environment monitoring module, an alarm such as an alarm of sound or light can be triggered, or the speed or brake of the electric bicycle can be automatically controlled when necessary;
data recording and storage: the monitoring module may record and store environmental information for subsequent analysis, troubleshooting, or legal requirements, which may help improve system performance and ride safety.
The vehicle monitoring module: in the running process of the electric bicycle, the vehicle information of the electric bicycle is automatically monitored, and the vehicle information is preprocessed and then sent to the data extraction module, and the method comprises the following steps:
sensor deployment: various sensors are deployed on electric bicycles to monitor the state and performance of the vehicle, which may include speed sensors, battery state sensors, motor sensors, temperature sensors, etc.;
and (3) data acquisition: the sensor collects vehicle data in real time, including various parameters such as vehicle speed, battery power, motor rotation speed, temperature, battery voltage, current and the like, and the data are used for analyzing the state of the vehicle;
and (3) data processing: the vehicle monitoring module pre-processes the collected data, which may include smoothing, correction, unit conversion of the data, and time stamping of the data;
data analysis: analyzing the preprocessed data to detect whether the state of the vehicle is normal, which may include detecting whether the battery level is sufficient, whether the motor is operating normally, whether the vehicle speed is reasonable, etc.;
and (3) fault detection: the vehicle monitoring module detects whether a battery fault, a motor fault, a transmission system fault or abnormal conditions of other vehicle components exist;
warning and reaction: when the monitoring module identifies a potential vehicle malfunction or problem, it generates an alert signal informing the rider or automatically taking action to solve the problem, which may include displaying a warning message on the dashboard, sounding an alarm, or limiting electric assistance;
and (3) data extraction: the generated vehicle information and alert signals will be extracted for use by the control system and rider of the electric bicycle, which may involve sending the information to a display screen of the electric bicycle, the rider's mobile phone application, or other suitable communication device;
data recording and storage: the monitoring module may record and store vehicle information for subsequent analysis, maintenance, and troubleshooting, which may help improve vehicle performance and ride safety.
And a data extraction module: and extracting the environment visibility and the road traffic index from the environment information, extracting the brake abnormality index and the tire pressure deviation value from the vehicle information, and sending the environment visibility, the road traffic index, the brake abnormality index and the tire pressure deviation value to the data calculation module.
And a data calculation module: after the environmental visibility, the road traffic index, the brake abnormality index and the tire pressure deviation value are respectively endowed with the proportion coefficients, the environmental visibility, the road traffic index, the brake abnormality index and the tire pressure deviation value are comprehensively calculated, the running coefficients are used for judging whether the current running is safe or not, and the running coefficients are sent to the analysis module.
And an analysis module: and comparing the running coefficient with a preset gradient threshold value, analyzing whether warning needs to be sent out or the electric bicycle needs to be limited according to the comparison result, and sending the analysis result to the intelligent speed limiting module and the alarm module.
An intelligent speed limiting module: and automatically adjusting the maximum running speed of the electric bicycle according to the analysis result, and prompting the driver, wherein the prompting comprises a display screen prompting or a voice prompting.
And an alarm module: when the analysis needs to send out an alarm, the method is used for sending out an alarm signal to a driver, including voice alarm or display screen display alarm and the like, and comprises the following steps:
alarm type selection: according to the detected triggering condition, the alarm module can select an appropriate alarm type, such as an acoustic alarm, a voice alarm, a vibration alarm, alarm information on a display screen or a light alarm;
generating warning information: according to the selected alarm type, the alarm module generates corresponding alarm information, which may include characters, sound, icons or vibration signals;
alarm signal transmission: the generated alert information will be transmitted to the rider, which may be accomplished by:
an audible alarm: playing warning sound through a loudspeaker or a loudspeaker;
voice warning: sending a voice instruction to a rider through a built-in or external loudspeaker;
and (3) displaying on a display screen: displaying warning information on an instrument panel or a display screen of the electric bicycle;
light alarm: the visual warning is sent out through flashing light or LED indicator lights;
warning duration: the alarm module will typically prescribe an alert duration to ensure that the rider is enough time to detect and cope with the hazard, the duration typically being related to the urgency of the triggering condition;
rider reaction: once the rider receives the alert signal, they should take appropriate action quickly to deal with the potential hazard, which may include slowing the vehicle, stopping, avoiding obstacles, or taking other action to mitigate the risk;
and (3) data recording: the alarm module will also typically record events that trigger alarms for subsequent analysis, maintenance, and improvement of system performance.
According to the method, the environment visibility and the road passing index in the environment information are extracted through the data extraction module, the brake abnormality index and the tire pressure deviation value in the vehicle information are extracted, the data calculation module respectively endows the environment visibility, the road passing index, the brake abnormality index and the tire pressure deviation value with the proportion coefficient, the environment visibility, the road passing index, the brake abnormality index and the tire pressure deviation value are comprehensively calculated, the running coefficient is compared with the preset gradient threshold value by the analysis module, whether the comparison result analysis needs to send out a warning or limit the speed of the electric bicycle, and the intelligent speed limiting module automatically adjusts the maximum running speed of the electric bicycle according to the analysis result and sends out a warning signal. The alarm system can integrate the self state and environmental information of the electric bicycle, so that intelligent speed limiting adjustment is performed, and a warning is sent to a driver, and the running safety of the electric bicycle is greatly improved.
Example 2: the data extraction module extracts the environment visibility and the road traffic index in the environment information, extracts the brake abnormality index and the tire pressure deviation value in the vehicle information, and sends the environment visibility, the road traffic index, the brake abnormality index and the tire pressure deviation value to the data calculation module;
the computational expression for the ambient visibility is:
in the method, in the process of the invention,in order for the visibility of the environment to be present,is the Vierlen scattering coefficient, which represents the concentration of particles in the atmosphere and the scattering characteristics of light, and k is greater than 0,representing the diameter of an object on the path of travel;
for average users, it is generally not necessary to directly calculate or estimate the villous scattering coefficient, and the actual measurement of visibility is typically performed by weather stations and weather professionals and then provided to the public;
the smaller the environmental visibility is, the more the electric bicycle is in the running process:
reducing visibility: the small environmental visibility means that the rider's line of sight is limited and it is difficult to clearly see the road, vehicle and obstacle ahead. This increases the risk of collisions and accidents.
Increasing the braking distance: in poor visibility situations, the rider often requires a longer time to detect the obstacle ahead and take braking action. This results in an extended braking distance, making braking more challenging.
Reducing handling: in severe weather conditions such as rain, snow, hail or heavy fog, the road surface may become slippery, resulting in reduced handleability of the electric bicycle. The rider may be more prone to runaway or slip.
It is difficult to recognize the road sign: in limited visibility situations, it may be difficult for the rider to clearly recognize road signs, traffic signals, and other navigation signs, increasing the risk of getting lost or driving into a wrong road.
Pedestrians and other vehicles are not noticeable: other pedestrians and vehicles are also affected by low visibility and may be difficult to perceive by the rider. This increases the uncertainty of encounters and interactions with other traffic participants.
The calculation expression of the road traffic index is:
in the method, in the process of the invention,as the road traffic index, the number of road traffic points,for the traction obtained by the electric bicycle in actual running, it is generally measured by a sensor,the maximum traction force which can be obtained by the electric bicycle under the optimal condition is theoretically, and depends on factors such as adhesiveness of the road surface, interaction between the tire and the road surface and the like;
the larger the road traffic index is, the more the electric bicycle riding process is:
higher traction force: the larger road traffic index means better adhesiveness of the road surface, and the tyre of the electric bicycle can be better contacted with the road surface to provide higher traction force. This makes it easier for the electric bicycle to accelerate, climb a slope and maintain a stable speed.
Shorter braking distance: under the condition of higher road traffic index, the braking performance is better, and the electric bicycle can be stopped more rapidly, so that the braking distance in emergency braking is reduced.
Better handling: a higher road traffic index is generally associated with a better road surface smoothness and adhesion, which helps to improve the handleability of the electric bicycle, making it easier to steer and maintain a smooth running.
Reduce the risk of skidding: on high road traffic index roads, the adhesion of the tire to the road surface is higher, thereby reducing the risk of skidding under wet or bad weather conditions.
Improve riding efficiency: the higher road traffic index means that less energy is wasted on the friction between the tire and the road surface, and less resistance is generated in the riding process, so that the riding efficiency can be improved, and the battery consumption can be reduced.
Increase riding safety: higher road traffic index helps improving the security of riding, has reduced unexpected risk of skidding and brake failure, provides more stable experience of riding.
The calculation expression of the abnormal brake index is as follows:
in the method, in the process of the invention,in order to provide an index of the abnormality of the brake,for the real-time braking force variation,for the period of the brake cable loosening early warning,and (5) a time period for early warning of brake disc wear.
The tension sensor is arranged on the brake cable and used for measuring the tension of the brake cable, and if the brake cable is loosened, the tension sensor can detect the condition of tension reduction, so that the period of time when the tension of the brake cable is smaller than the tension threshold value is the period of time when the brake cable is loosened and early-warned;
the wear sensor is directly arranged on the brake disc and used for measuring the thickness of the brake disc, so that the time period when the thickness of the brake disc is smaller than the thickness threshold value is the time period of brake disc wear early warning;
the larger the abnormal brake index is, the more unstable the brake of the electric bicycle is, and the following problems are caused easily:
and (3) prolonging the braking distance: the abnormal braking can cause that the braking system can not quickly slow down or stop the electric bicycle, so that the braking distance is increased, the coping capacity of a rider to emergency is reduced, and the risk of collision is increased;
failure of the brake: a high brake anomaly index may indicate that the braking system is malfunctioning or abnormally worn, which may lead to a brake failure that would seriously threaten the safety of the rider and other road users;
locking the brake: an abnormal braking may cause the braking system to not correctly distribute braking force, causing a certain wheel to lock, which may lead to runaway and potential accidents;
uneven braking effect: abnormal braking may cause uneven braking effect, wherein the braking of one wheel is stronger and the braking of the other wheel is weaker, which reduces the operability and makes the electric bicycle unstable;
brake system noise and vibration: abnormal braking may cause noise and vibration to the braking system, which may reduce riding comfort and may indicate a problem with the braking system;
the accident risk is improved: braking anomalies can significantly increase the risk of accidents, especially when emergency braking is required in an emergency situation, where an unstable braking system may result in the rider not avoiding a collision or avoiding an obstacle.
The calculation expression of the tire pressure deviation value is as follows:
in the method, in the process of the invention,as the tire pressure deviation value,representing the actual tire pressure of the vehicle tires,representing a standard tire pressure of a vehicle tire;
the electric bicycle is provided with a Tire Pressure Monitoring System (TPMS), and the tire pressure of the tire can be monitored in real time through a sensor;
the larger the tire pressure deviation value is, the larger the difference between the actual tire pressure and the standard tire pressure is, which indicates that the safe running of the electric bicycle can be influenced, specifically:
unstable handling properties: the actual tire pressure lower than the standard tire pressure may cause the tire to become too soft during running, thereby affecting the handling of the vehicle, and the electric bicycle may slip, deviate from a track, or lose stability more easily;
and (3) prolonging the braking distance: tires below standard tire pressures may increase the braking distance because they provide reduced traction, which may result in an inability to stop in time in an emergency situation, increasing the risk of collisions;
the tire pressure is uneven: the difference in tire pressure from tire to tire may result in uneven handling and braking effects, and some tires may be more inflated than others, which may affect the balance of handling and braking;
fuel efficiency decreases: tires below the standard tire pressure may increase the rolling resistance of the electric bicycle, thereby reducing fuel efficiency (battery life), which may result in more frequent charging and higher operating costs;
fetal noise and vibration: insufficient or uneven tire pressure may cause increased friction between the tire and the road, generating noise and vibration, which may reduce riding comfort;
tire overheating: too low tire pressure may cause excessive heating of the tire, thereby reducing the life of the tire and increasing the risk of a puncture;
uneven tire wear: high tire pressures may result in faster wear of the center portion of the tire and less wear of the shoulder portions of the tire, causing uneven wear of the tire, which may shorten the life of the tire and increase maintenance costs;
reducing fuel efficiency: excessive tire pressure increases the rolling resistance of the tire to the road surface, reducing fuel efficiency (battery life), which results in more frequent charging and higher operating costs;
the grabbing force is reduced: high tire pressures may cause the tire to over-expand, reducing the adhesion between the tire and the road surface, which may result in insufficient grip on wet road surfaces, increasing the risk of slipping and runaway.
The data calculation module respectively endows the environment visibility, the road traffic index, the brake abnormality index and the tire pressure deviation value with proportional coefficients, and then comprehensively calculates the running coefficients of the environment visibility, the road traffic index, the brake abnormality index and the tire pressure deviation value, wherein the running coefficients are used for judging whether the current running is safe or not, and the running coefficients are sent to the analysis module;
the data calculation module comprehensively calculates environment visibility, road traffic index, brake abnormality index and tire pressure deviation value and running coefficientThe expression is:
in the method, in the process of the invention,in order for the visibility of the environment to be present,as the road traffic index, the number of road traffic points,in order to provide an index of the abnormality of the brake,as the tire pressure deviation value,、、、respectively indicating environment visibility, road traffic index and abnormal brakeThe ratio coefficients of the number and the tire pressure deviation value are all larger than 0;
coefficient of travelThe larger the value is, the higher the driving safety of the electric bicycle on the road is.
The analysis module compares the running coefficient with a preset gradient threshold value, analyzes whether warning is required to be sent out or the electric bicycle is required to be limited according to the comparison result, and sends the analysis result to the intelligent speed limiting module and the alarm module;
the gradient threshold value comprises a first threshold value Y1, a second threshold value Y2 and a third threshold value Y3, wherein the first threshold value is smaller than the second threshold value and smaller than the third threshold value, the second threshold value Y2 = 0.9 x the third threshold value Y3, and the first threshold value Y1 = 0.9 x the second threshold value Y2;
the analysis module obtains the running coefficientAfter the value, the running coefficient is calculatedComparing the value with a first threshold Y1, a second threshold Y2 and a third threshold Y3;
if the driving coefficient isThe value is more than or equal to a third threshold Y3, and the analysis module analyzes the running safety of the electric bicycle without giving a warning or limiting the speed of the electric bicycle;
if the driving coefficient isThe value is smaller than a first threshold Y1, and the analysis module analyzes that the running of the electric bicycle is unsafe and needs to send out an alarm;
if the first threshold Y1 is less than or equal to the running coefficientThe value is less than the second threshold value Y2 or the second threshold value Y2 is less than or equal to the running coefficientValue <The third threshold Y3 is analyzed by the analysis module and the speed limit of the electric bicycle is needed, and the scheme is as follows:
when judging that the first threshold Y1 is less than or equal to the running coefficientThe value is less than the second threshold value Y2 or the second threshold value Y2 is less than or equal to the running coefficientWhen the value is smaller than the third threshold Y3, the maximum speed limit of the electric bicycle is recalculated, the corrected speed limit is obtained, and the expression is as follows:
in the method, in the process of the invention,in order to correct the speed limit,for the initial maximum speed limit to be reached,for the running coefficient, Y1 is a first threshold, Y2 is a second threshold, and Y3 is a third threshold.
The above formulas are all formulas with dimensions removed and numerical values calculated, the formulas are formulas with a large amount of data collected for software simulation to obtain the latest real situation, and preset parameters in the formulas are set by those skilled in the art according to the actual situation.
In the description of the present specification, the descriptions of the terms "one embodiment," "example," "specific example," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (9)
1. An induction type automatic alarm system applied to an electric bicycle is characterized in that: the intelligent speed limiting system comprises an environment monitoring module, a vehicle monitoring module, a data extraction module, a data calculation module, an analysis module, an intelligent speed limiting module and an alarm module;
and the environment monitoring module is used for: during the running process of the electric bicycle, the environmental information around the electric bicycle is automatically monitored, and the environmental information is preprocessed;
the vehicle monitoring module: in the running process of the electric bicycle, automatically monitoring the vehicle information of the electric bicycle, and preprocessing the vehicle information;
and a data extraction module: extracting environment visibility and road traffic index in the environment information, and extracting a brake abnormality index and a tire pressure deviation value in the vehicle information;
and a data calculation module: after the environmental visibility, the road traffic index, the brake abnormality index and the tire pressure deviation value are respectively endowed with the proportion coefficients, the environmental visibility, the road traffic index, the brake abnormality index and the tire pressure deviation value are comprehensively calculated to obtain the running coefficients;
and an analysis module: comparing the running coefficient with a preset gradient threshold value, and analyzing whether warning is required to be sent out or the electric bicycle is required to be limited according to the comparison result;
an intelligent speed limiting module: automatically adjusting the maximum running speed of the electric bicycle according to the analysis result, and prompting the driver;
and an alarm module: and when the analysis needs to give out an alarm, the alarm is used for giving out an alarm signal to the driver.
2. An induction type automatic alarm system applied to electric bicycle as claimed in claim 1, characterized in that: the data calculation module comprehensively calculates environment visibility, road traffic index, brake abnormality index and tire pressure deviation value and running coefficientThe expression is:
，
in the method, in the process of the invention,for environmental visibility, ++>For the road traffic index>Index of abnormal brake>As the tire pressure deviation value,、/>、/>、/>the ratio coefficients of the environmental visibility, the road traffic index, the brake abnormality index and the tire pressure deviation value are respectively larger than 0.
3. An induction type automatic alarm system applied to electric bicycle as claimed in claim 2, characterized in that: the gradient threshold value comprises a first threshold value Y1, a second threshold value Y2 and a third threshold value Y3, wherein the first threshold value is smaller than the second threshold value and smaller than the third threshold value, the second threshold value y2=0.9×the third threshold value Y3, and the first threshold value y1=0.9×the second threshold value Y2.
4. An induction type automatic alarm system applied to electric bicycle according to claim 3, characterized in that: the analysis module obtains the running coefficientAfter the value, the driving coefficient is ∈ ->Comparing the value with a first threshold Y1, a second threshold Y2 and a third threshold Y3;
if the driving coefficient isThe value is more than or equal to a third threshold Y3, and the analysis module analyzes the running safety of the electric bicycle without giving a warning or limiting the speed of the electric bicycle;
if the driving coefficient isThe value is smaller than a first threshold Y1, and the analysis module analyzes that the electric bicycle is unsafe to run and needs to send out an alarm.
5. An induction type automatic alarm system applied to electric bicycle as claimed in claim 4, characterized in that: the analysis module judges that the first threshold Y1 is less than or equal to the running coefficientThe value is less than the second threshold value Y2 or the second threshold value Y2 is less than or equal to the running coefficientWhen the value is smaller than the third threshold Y3, the maximum speed limit of the electric bicycle is recalculated, the corrected speed limit is obtained, and the expression is as follows:
，
in the method, in the process of the invention,to correct the speed limit +.>For initial maximum speed limit, +.>For the running coefficient, Y1 is a first threshold, Y2 is a second threshold, and Y3 is a third threshold.
6. An induction type automatic alarm system applied to electric bicycle as claimed in claim 5, characterized in that: the computational expression of the environmental visibility is:
，
in the method, in the process of the invention,for environmental visibility, ++>Is the Vierlen scattering coefficient, which represents the concentration of particles in the atmosphere and the scattering properties of light, and k is greater than 0, (-)>Indicating the diameter of the object on the path of travel.
7. An induction type automatic alarm system applied to electric bicycle as claimed in claim 6, characterized in that: the calculation expression of the road traffic index is as follows:
，
in the method, in the process of the invention,for the road traffic index>For the traction force of the electric bicycle during actual running, < >>Is the theoretical traction force of the electric bicycle.
8. An induction type automatic alarm system applied to electric bicycle as claimed in claim 7, characterized in that: the calculation expression of the abnormal brake index is as follows:
，
in the method, in the process of the invention,index of abnormal brake>For real-time braking force variation, < >>For the period of brake cable looseness early warning, +.>And (5) a time period for early warning of brake disc wear.
9. An induction type automatic alarm system applied to electric bicycle as claimed in claim 8, wherein: the calculation expression of the tire pressure deviation value is as follows:
，
in the method, in the process of the invention,is the tire pressure deviation value>Representing the actual tire pressure of the vehicle tire,/->Representing the standard tire pressure of a vehicle tire.
Priority Applications (1)
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|---|---|---|---|
| CN202311674615.8A CN117382791A (en) | 2023-12-08 | 2023-12-08 | Induction type automatic alarm system applied to electric bicycle |
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| CN202311674615.8A CN117382791A (en) | 2023-12-08 | 2023-12-08 | Induction type automatic alarm system applied to electric bicycle |
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| CN202311674615.8A Pending CN117382791A (en) | 2023-12-08 | 2023-12-08 | Induction type automatic alarm system applied to electric bicycle |
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