CN115798182B - Intelligent safety management method and system for motorcycle - Google Patents
Intelligent safety management method and system for motorcycle Download PDFInfo
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- CN115798182B CN115798182B CN202310101100.2A CN202310101100A CN115798182B CN 115798182 B CN115798182 B CN 115798182B CN 202310101100 A CN202310101100 A CN 202310101100A CN 115798182 B CN115798182 B CN 115798182B
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Abstract
The application relates to the technical field of data processing, and provides an intelligent safety management method and system for a motorcycle. Matching operation grades is obtained by carrying out operation grade matching based on the monitoring operation data; constructing road condition features based on continuous environment image acquisition results; carrying out matching evaluation based on the matching operation grade and road condition characteristics, and generating first early warning information based on a matching evaluation grade; detecting the gesture of the motorcycle user through the sensor equipment, and generating second early warning information based on a gesture detection result and a matching evaluation level; and carrying out motorcycle operation safety pre-warning according to the pre-warning information. The method can solve the technical problem that the safety management and control of the motorcycle depends on traffic rules and the driving capability and quality of a driver in the prior art, so that the safety management effectiveness of the motorcycle is weaker, and the technical effects of improving the driving controllability of the motorcycle and the safety management effectiveness of the motorcycle are achieved.
Description
Technical Field
The application relates to the technical field of data processing, in particular to an intelligent safety management method and system for a motorcycle.
Background
With the gradual release of the 'forbidden friction order' in all cities of the whole country, the motorcycle is a convenient transportation tool which becomes a preferred transportation tool for the commuting distance. The driving speed and the danger of a motorcycle are greatly increased compared with those of an electric vehicle with similar shapes, so that the urban management rules and the national traffic regulations are issued with regulations to limit the driving speed of the motorcycle in the city.
The safety control multi-position flexible control of the motorcycle at present, for example, the setting of the speed limit requirement of the traffic road and the training examination of the regulation requirement of the driver when the driver license of the motorcycle is claimed, the flexible control method has higher dependence on the quality of the driver driving, and the management modes such as administrative fine and the like have the defect of management hysteresis, and are not beneficial to the effective management of the motorcycle after the release of the forbidden friction.
In summary, in the prior art, the safety control of the motorcycle depends on traffic rules and driving ability and quality of a driver, so that the technical problem of weaker effectiveness of the safety control of the motorcycle is caused.
Disclosure of Invention
Accordingly, it is necessary to provide an intelligent safety management method and system for a motorcycle, which can improve the driving controllability of the motorcycle and the safety management effectiveness of the motorcycle.
An intelligent safety management method of a motorcycle, the method comprising: the data interaction equipment is used for carrying out data interaction on the motorcycle, so that real-time monitoring operation data are obtained; performing operation level matching based on the real-time monitoring operation data to obtain a matched operation level; continuous environment image acquisition is carried out through the image acquisition device, and real-time road condition characteristics are built based on continuous environment image acquisition results; performing matching evaluation based on the matching operation grade and the real-time road condition characteristics, and generating first early warning information based on a matching evaluation grade; detecting the gesture of the motorcycle user through the sensor equipment, and generating second early warning information based on a gesture detection result and the matching evaluation level; and carrying out operation safety early warning on the motorcycle according to the first early warning information and the second early warning information.
An intelligent security management system for a motorcycle, the system comprising: the operation data monitoring module is used for carrying out data interaction of the motorcycle through the data interaction equipment to obtain real-time monitoring operation data; the operation level matching module is used for performing operation level matching based on the real-time monitoring operation data to obtain a matched operation level; the environment image acquisition module is used for carrying out continuous environment image acquisition through the image acquisition device and constructing real-time road condition characteristics based on the continuous environment image acquisition result; the matching evaluation execution module is used for carrying out matching evaluation based on the matching operation grade and the real-time road condition characteristics and generating first early warning information based on a matching evaluation grade; the gesture detection execution module is used for detecting the gesture of the motorcycle user through the sensor equipment and generating second early warning information based on a gesture detection result and the matching evaluation level; and the safety early warning generation module is used for carrying out operation safety early warning on the motorcycle according to the first early warning information and the second early warning information.
A computer device comprising a memory storing a computer program and a processor which when executing the computer program performs the steps of:
the data interaction equipment is used for carrying out data interaction on the motorcycle, so that real-time monitoring operation data are obtained;
performing operation level matching based on the real-time monitoring operation data to obtain a matched operation level;
continuous environment image acquisition is carried out through the image acquisition device, and real-time road condition characteristics are built based on continuous environment image acquisition results;
performing matching evaluation based on the matching operation grade and the real-time road condition characteristics, and generating first early warning information based on a matching evaluation grade;
detecting the gesture of the motorcycle user through the sensor equipment, and generating second early warning information based on a gesture detection result and the matching evaluation level;
and carrying out operation safety early warning on the motorcycle according to the first early warning information and the second early warning information.
A computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of:
the data interaction equipment is used for carrying out data interaction on the motorcycle, so that real-time monitoring operation data are obtained;
Performing operation level matching based on the real-time monitoring operation data to obtain a matched operation level;
continuous environment image acquisition is carried out through the image acquisition device, and real-time road condition characteristics are built based on continuous environment image acquisition results;
performing matching evaluation based on the matching operation grade and the real-time road condition characteristics, and generating first early warning information based on a matching evaluation grade;
detecting the gesture of the motorcycle user through the sensor equipment, and generating second early warning information based on a gesture detection result and the matching evaluation level;
and carrying out operation safety early warning on the motorcycle according to the first early warning information and the second early warning information.
The intelligent safety management method and system for the motorcycle solve the technical problem that in the prior art, the safety management and control of the motorcycle depends on traffic rules and the driving capability and quality of a driver, so that the safety management effectiveness of the motorcycle is weaker, and the technical effects of improving the driving controllability of the motorcycle and the safety management effectiveness of the motorcycle are achieved.
The foregoing description is only an overview of the technical solutions of the present application, and may be implemented according to the content of the specification in order to make the technical means of the present application more clearly understood, and in order to make the above-mentioned and other objects, features and advantages of the present application more clearly understood, the following detailed description of the present application will be given.
Drawings
FIG. 1 is a flow chart of a method of intelligent security management for a motorcycle in one embodiment;
FIG. 2 is a schematic flow chart of generating an acquisition evaluation result in an intelligent security management method of a motorcycle according to an embodiment;
FIG. 3 is a block diagram of an intelligent security management system for a motorcycle in one embodiment;
FIG. 4 is an internal block diagram of a computer device in one embodiment;
reference numerals illustrate: the system comprises an operation data monitoring module 1, an operation level matching module 2, an environment image acquisition module 3, a matching evaluation execution module 4, a gesture detection execution module 5 and a safety early warning generation module 6.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
As shown in fig. 1, the present application provides an intelligent security management method for a motorcycle, where the method is applied to an intelligent security management system, and the intelligent security management system is communicatively connected with an image acquisition device, a sensor device, and a data interaction device, and the method includes:
S100, carrying out data interaction of the motorcycle through the data interaction equipment to obtain real-time monitoring operation data;
specifically, in this embodiment, the intelligent safety management system is a motorcycle driving safety control mode, and is connected to the motorcycle control system, and the operation of the intelligent safety management system is not mandatory, so that a driving user can perform on-off of the safety control mode of the intelligent safety management system according to requirements.
In the embodiment, the data interaction equipment is used for carrying out data interaction on the motorcycle, and real-time monitoring operation data is acquired and is real-time driving speed data information of the motorcycle, for example, 37km/h.
S200, performing operation level matching based on the real-time monitoring operation data to obtain a matched operation level;
specifically, in this embodiment, the running level is obtained by equally dividing the running speed of the motorcycle into a plurality of speed thresholds, for example, when 5km is taken as one speed threshold, the running level of the motion corresponding to 30-35 km/h is 1 level, an arithmetic progression is constructed, the running level of the motion corresponding to 35-40 km/h is set to 5, the running level of the motion corresponding to 35-40 km/h is 2 level … … -100 km/h, the running level of the motion corresponding to 12 level is constructed by the progression, and the higher the running level is, the higher the running speed of the motorcycle is, the higher the probability of corresponding driving accidents is.
And matching the real-time monitoring operation data with the multi-level operation level to obtain a speed threshold value of the real-time monitoring operation data, and taking the speed threshold value of the real-time monitoring operation data as the matching operation level, wherein if the real-time monitoring operation data is 37km/h, the corresponding matching operation level is level 2.
S300, carrying out continuous environment image acquisition by the image acquisition device, and constructing real-time road condition characteristics based on a continuous environment image acquisition result;
specifically, in this embodiment, the image acquisition device may be a video image acquisition device added to the motorcycle body, or may be an original automobile data recorder, and the continuous environment image acquisition is performed by the image acquisition device to obtain the driving direction along environment of the motorcycle, and real-time road condition features are constructed based on the continuous environment image acquisition result, where the real-time road condition features include pedestrian number features, road surface flatness features and road condition identification features.
The specific method for constructing the real-time road condition features based on the continuous environment image acquisition results comprises the steps of acquiring still image frames according to continuous environment images, respectively carrying out pedestrian number feature analysis, road surface feature analysis and road condition identification feature analysis on the still image frames to obtain pedestrian number features reflecting road pedestrian density, road surface flatness features reflecting road steepness and road condition identification features reflecting road driving regulation requirements, forming the real-time road condition features, and providing reference data for vehicle overspeed early warning according to the subsequent combination of matched operation grades.
S400, carrying out matching evaluation based on the matching operation grade and the real-time road condition characteristics, and generating first early warning information based on a matching evaluation grade;
specifically, in this embodiment, based on the real-time road condition feature extraction, the pedestrian number feature, the road surface flatness feature and the road condition identification feature are obtained, speed constraint thresholds are respectively generated according to the pedestrian number feature, the road surface flatness feature and the road condition identification feature, and intersection computation is performed on the multiple speed constraint thresholds, so that a minimum speed constraint threshold is obtained as the running safety speed of the vehicle in the current road condition environment. And (2) performing level matching on the upper limit value of the minimum speed constraint threshold value and the operation level constructed in the step (S200) to obtain the operation level of the real-time road condition feature.
And carrying out matching evaluation on the matching operation grade and the operation grade of the real-time road condition characteristic, judging whether the matching operation grade is higher than the operation grade of the real-time road condition characteristic, if so, calculating the difference value of the two operation grades to obtain the matching evaluation grade, wherein the matching evaluation grade reflects the degree that the actual driving speed of the motorcycle exceeds the speed requirement of the driving environment where the motorcycle is positioned, generating first early warning information based on the matching evaluation grade, and the first early warning information is used for directly prompting a driver to carry out speed control or activating the intelligent safety management system to assist in deceleration braking so as to ensure that the driving speed of the motorcycle is decelerated to the safe driving speed.
S500, carrying out gesture detection on a motorcycle user through the sensor equipment, and generating second early warning information based on a gesture detection result and the matching evaluation level;
in particular, it will be appreciated that driver posture also affects driving safety during motorcycle riding, for example when the motorcycle is cornering, requiring the driver to change posture to maintain the centre of gravity to avoid loss of control of the vehicle. Thus, in the present embodiment, the real-time center of gravity detection result of the vehicle is obtained based on the detection of the center of gravity of the vehicle during the running of the vehicle by the plurality of types of sensor devices arranged in the motorcycle control device and the driver helmet shield, and the driver body center of gravity detection obtains the driver center of gravity detection result, which are both relative position space coordinate data with reference to the motorcycle head.
Calculating relative position space coordinate data of a real-time barycenter detection result of the vehicle and a barycenter detection result of the driver to obtain barycenter deviation data, comparing the barycenter deviation data with a preset barycenter deviation threshold value for judging whether the barycenter deviation degree of the person and the vehicle has driving danger or not, and when the barycenter deviation data exceeds the preset barycenter deviation threshold value, indicating that the barycenter has the risk of vehicle out of control if the driver does not change the driving posture.
And comparing the gravity center deviation data with a preset gravity center deviation threshold value to obtain the gesture detection result, and generating second early warning information based on the gesture detection result and the matching evaluation level, wherein the second early warning information is used for prompting a user to carry out gesture adjustment so as to ensure that the gravity center of the motorcycle is consistent with the gravity center of the driver relatively.
S600, carrying out operation safety early warning on the motorcycle according to the first early warning information and the second early warning information.
Specifically, in this embodiment, the first early warning information is used to directly or indirectly enter the adjustment of the driving speed of the motorcycle, and the second early warning information is used to prompt the driver to adjust the driving posture so as to ensure the driving safety. And carrying out operation safety early warning on the motorcycle based on the first early warning information and the second early warning information so as to ensure that the riding speed of the motorcycle of the driver meets the safety requirement of the driving environment and avoid the out-of-control driving of the vehicle caused by the deviation of the riding gravity center of the driver.
According to the embodiment, the data interaction equipment is used for carrying out data interaction on the motorcycle, so that real-time monitoring operation data are obtained; performing operation level matching based on the real-time monitoring operation data to obtain a matched operation level; continuous environment image acquisition is carried out through the image acquisition device, real-time road condition characteristics are built based on continuous environment image acquisition results, and reference data are provided for vehicle overspeed early warning by combining with matching operation grades subsequently; performing matching evaluation based on the matching operation grade and the real-time road condition characteristics, and generating first early warning information based on the matching evaluation grade to directly prompt a driver to perform speed control or activate the intelligent safety management system to assist in deceleration braking so as to ensure that the driving speed of the motorcycle is decelerated to safe driving speed; the sensor equipment is used for detecting the gesture of the motorcycle user, and second early warning information is generated based on the gesture detection result and the matching evaluation level so as to prompt the user to adjust the gesture to ensure that the center of gravity of the motorcycle is consistent with the center of gravity of the driver; and carrying out operation safety early warning on the motorcycle according to the first early warning information and the second early warning information so as to ensure that the riding speed of the motorcycle of the driver meets the safety requirement of the driving environment and avoid the out-of-control driving of the vehicle caused by the deviation of the riding gravity center of the driver. The technical effect of improving the driving controllability of the motorcycle and the safety management effectiveness of the motorcycle is achieved.
In one embodiment, as shown in fig. 2, the method steps provided in the present application further include:
s410, judging whether the matching evaluation difference level is within a preset difference level threshold value range or not after the first early warning information is generated;
s420, when the first early warning information is within the preset difference level threshold range, generating a response supervision interval according to the matching evaluation difference level and the matching operation level;
s430, performing response data acquisition and evaluation of the data interaction equipment through the response supervision interval to generate an acquisition and evaluation result;
s440, carrying out operation safety management of the motorcycle according to the acquisition and evaluation result.
In one embodiment, the method steps provided herein further comprise:
s450, judging whether the deceleration value of the acquisition evaluation result is in an expected deceleration range or not;
s460, when the deceleration value is not in the expected deceleration range, generating a multi-level speed constraint interval according to a response data acquisition result and the matching evaluation difference level;
and S470, performing operation speed reduction control on the motorcycle through the multi-level speed constraint interval.
Specifically, in this embodiment, the matching evaluation level reflects the degree to which the actual driving speed of the motorcycle exceeds the speed requirement of the driving environment where the matching evaluation level is located, the preset level threshold is used for judging and evaluating the severity of the actual driving speed of the motorcycle exceeding the speed requirement of the driving environment where the matching evaluation level is located, for example, the preset level threshold may be set to 5 levels, for example, the matching operation level is 6 levels, the operation level of the real-time road condition feature is 3 levels, and the matching evaluation level obtained by calculation is 6-3=3 levels and is smaller than the preset level threshold of 5 levels.
And judging whether the matching evaluation level is within a preset level threshold after the first early warning information is generated, and prompting a driver to actively perform deceleration control when the first early warning information is within the preset level threshold, wherein the first early warning information indicates that the current real-time driving speed of the motorcycle exceeds the driving speed requirement of the real-time road condition characteristics, but the overspeed degree is lower, so that the driving safety risk and the driving environment safety risk are lower.
When the first early warning information is within the preset difference threshold value range, the intelligent safety management system generates a response supervision interval according to the matching evaluation difference level and the matching operation level, wherein the response supervision interval is a temporarily set speed reduction monitoring window and is used for linking the data interaction equipment in the step S100 to perform motorcycle data interaction, so as to obtain motorcycle operation data for speed reduction monitoring, and the response data acquisition and evaluation of the data interaction equipment are performed through the response supervision interval to generate an acquisition and evaluation result, and the acquisition and evaluation result is motorcycle speed reduction data information.
The expected deceleration range is the motorcycle deceleration requirement data obtained by calculating the speed constraint threshold value of the real-time road condition characteristics according to the step S400 and the real-time monitoring data. For example, the speed constraint threshold of the real-time road condition characteristic is 60+/-5 km/h, the real-time monitoring data is 80km/h, and the expected deceleration range is calculated and obtained to be 20+/-5 km/h.
Judging whether the deceleration value of the acquisition evaluation result is in an expected deceleration range, and when the deceleration value is not in the expected deceleration range, indicating that the driver does not perform motorcycle deceleration control according to the first early warning information or the driver cannot perform motorcycle deceleration control in place (or fails in braking or touches an accelerator by tension or mistake), generating the response data acquisition result according to the acquisition evaluation result and the calculated deceleration value of the expected deceleration range. For example, the expected deceleration range is 20+/-5 km/h, the deceleration value of the evaluation acquisition result is 15km/h, and the response data acquisition result is 10km/h.
And generating a multi-level speed constraint interval according to a response data acquisition result and the matching evaluation difference level, wherein the multi-level constraint interval is a plurality of speed reduction time stages for reducing the speed of the motorcycle, and the intelligent safety management system realizes operation speed reduction control by assisting in step-by-step speed reduction of the motorcycle through the multi-level speed constraint interval and safely reduces the speed of the motorcycle to the speed requirement of the driving environment where the intelligent safety management system is positioned.
According to the embodiment, the speed limiting early warning is carried out on the driver, and after whether the difference exists between the actual speed reduction requirement and the speed reduction requirement of the driver is judged subsequently, the auxiliary speed reduction control is carried out, so that the technical effects of ensuring the driving safety of the driver, meeting the speed requirement of the driving environment and simultaneously keeping the driving experience of the driver are achieved.
In one embodiment, the method steps provided herein further comprise:
s421, when the first early warning information is not in the preset difference level threshold range, generating a deceleration prompt message;
s422, collecting road condition characteristics after prompting through the image collecting device;
s423, when the road condition characteristic acquisition result is that the speed reduction processing is supported, the forced speed reduction control is carried out on the motorcycle.
Specifically, in this embodiment, when the first early warning information is not within the preset difference threshold, it indicates that the current real-time driving speed of the motorcycle exceeds the driving speed requirement of the real-time road condition feature, and the overspeed degree is higher, so that the possibility of driving safety risk and driving environment safety risk is higher, and it is necessary to directly execute the deceleration control to avoid the driving safety accident caused by the irrational driving behavior (or the failure of the brake or the tension of the driver for touching the accelerator by mistake) of the driver.
After the deceleration prompt information is generated for a certain time, the image acquisition device is used for acquiring road condition characteristics after prompt, and the road condition characteristic acquisition is used for acquiring whether a running vehicle and a current road traffic light condition exist in front and behind a current motorcycle so as to avoid rear-end collision or traffic violation caused by deceleration after the motorcycle suddenly decelerates. And when the road condition characteristic acquisition result is that the speed reduction processing is supported, the forced speed reduction control is carried out on the motorcycle.
According to the embodiment, when the first early warning information is not in the preset difference level threshold range, the speed reduction prompt message is generated, the speed reduction auxiliary replacement is carried out based on the intelligent safety management system, the forced speed reduction control of the motorcycle is carried out by combining the road condition characteristic acquisition, and the technical effects of safely carrying out auxiliary speed reduction of the motorcycle and controlling the speed reduction while ensuring the driving safety of a driver are achieved.
In one embodiment, the method steps provided herein further comprise:
s710, carrying out real-time traffic data interaction through the data interaction equipment to obtain real-time traffic data;
s720, generating auxiliary environment data based on the real-time traffic data;
s730, generating a plurality of sections of deceleration reminding nodes based on the auxiliary environment and the matched operation level;
S740, carrying out operation reminding of the motorcycle through the multi-section deceleration reminding nodes.
In one embodiment, the method steps provided herein further comprise:
s731, obtaining an execution constraint node of the multi-section deceleration reminding node;
s732, performing deceleration execution judgment on the motorcycle based on the execution constraint node to obtain a deceleration execution judgment result;
s733, when the speed reduction execution judging result is that the speed reduction is not executed, generating speed reduction control data according to the execution constraint node and the real-time speed information;
s734, the operation control of the motorcycle is carried out according to the deceleration control data.
In particular, it should be appreciated that motor vehicles such as motorcycles need to comply with road safety regulations when traveling on urban roads, such as prohibiting red light running, green light stopping at intersections, and the like. Therefore, in this embodiment, in order to avoid the conflict between the motorcycle driving safety control and the road traffic requirement of the driving environment and break through the limitation of the image acquisition device on the environmental image acquisition (only the environmental image acquisition near the motorcycle can be performed, if the front vehicle is blocked, the road traffic conditions such as traffic lights and the like can not be perceived), the real-time traffic data is obtained by connecting the data interaction device with the cloud of the real-time traffic database, and the real-time traffic data is the road traffic data within 500 meters or other distances of the driving direction of the vehicle.
And generating auxiliary environment data based on the real-time traffic data, wherein the auxiliary environment data is used for prompting a driver to perform motorcycle deceleration driving so as to avoid vehicle violations. Generating a multi-section deceleration reminding node based on the auxiliary environment and the matched operation level, wherein the multi-section deceleration reminding node comprises a traffic light red light which is 300 meters away and a traffic light red light which is 200 meters away and a traffic light red light which is 100 meters away, and performing operation reminding of the motorcycle through the multi-section deceleration reminding node so as to ensure that a driver can meet traffic regulation requirements when approaching a traffic intersection and stop the motorcycle when approaching the traffic light.
Further, it should be appreciated that the speed control reminding of the driver based on the multi-segment speed reduction reminding node has certain limitations, and depends on subjective activity of the driver and whether there is a lucky mind on traffic regulation compliance. Therefore, the embodiment constructs the execution constraint node on the basis of the multi-section speed reduction reminding node, the execution constraint node is used for judging whether a driver follows the multi-section speed reduction reminding node to control the speed of the motor vehicle, for example, the speed reduction reminding node is arranged in the multi-section speed reduction reminding node when the distance from the traffic light intersection is 500 meters to carry out speed reduction parking reminding, the execution constraint node is arranged 150 meters away from the traffic light, the data interaction equipment carries out data interaction of the motor vehicle when the distance from the traffic light is 150 meters to obtain real-time monitoring operation data, if the real-time monitoring operation data shows that the driver does not carry out the speed control, the speed reduction control data is generated according to the execution constraint node and the real-time speed information, and the intelligent safety management system carries out the operation control of the motor vehicle through the speed reduction control data.
Specifically, the execution constraint node is set based on the multi-section deceleration reminding node, deceleration execution judgment of the motorcycle is carried out based on the execution constraint node, and the deceleration execution judgment result reflecting whether a driver adheres to the multi-section deceleration reminding node for controlling deceleration of the motorcycle is obtained. And when the speed reduction execution judging result is that the speed reduction is not executed, generating speed reduction control data according to the execution constraint node and the real-time speed information, and performing operation control of the motorcycle through the speed reduction control data.
According to the embodiment, the limitation of the image acquisition device on environmental image acquisition is broken through by obtaining real-time traffic data to generate auxiliary environmental data, multiple sections of deceleration reminding nodes are generated based on the auxiliary environment and the matched operation level, and the constraint nodes are executed to control a motorcycle system or actively control deceleration of a driver, so that the technical effects of expanding the driving 'visual field' of the motorcycle, avoiding the running of the motorcycle from violating the traffic rules and improving the driving safety of the motorcycle are achieved.
In one embodiment, the method steps provided herein further comprise:
s810, acquiring working information of the motorcycle through the sensor equipment to obtain an information acquisition result;
S820, inputting the information acquisition result and the real-time monitoring operation data into an intelligent state evaluation model, and outputting a state abnormality evaluation result of the motorcycle;
s830, monitoring and early warning of the motorcycle are carried out according to the state abnormality evaluation result.
Specifically, in this embodiment, the motorcycle body is provided with a plurality of sensor devices with different functions, the working information of the motorcycle is collected through the sensor devices, and an information collection result is obtained, and the confidence collection result includes a real-time monitoring operation data set, an engine temperature data set and a noise data set. Inputting the information acquisition result and the real-time monitoring operation data into an intelligent state evaluation model, outputting a state abnormality evaluation result of the motorcycle, wherein the state abnormality evaluation result comprises an engine temperature abnormality, a brake abnormality and a device operation abnormality, and monitoring and early warning of the motorcycle are carried out through the state abnormality evaluation result.
In this embodiment, the intelligent state evaluation model is preferably constructed based on a BP neural network, and the historical real-time monitoring operation data, the historical engine temperature data and the historical noise data set when the device abnormality occurs in the historical motorcycle are acquired and acquired, and the specific device abnormality corresponding to the device abnormality data is acquired. The abnormal motorcycle equipment has the mutual influence characteristic, such as abnormal engine chain reaction causes abnormal speed of the motorcycle. The intelligent state evaluation model is a comprehensive evaluation model, historical real-time monitoring operation data, historical engine temperature data, historical noise data and equipment abnormal condition identification are divided into a training set, a verification set and a test set to conduct supervision training of the intelligent state evaluation model, and model training is stopped when model output accuracy meets the preset accuracy requirement.
According to the method, the device and the system, the working information acquisition based on the motorcycle and the real-time monitoring of the operation data are realized through the construction of the state intelligent evaluation model, so that whether the motorcycle has equipment fault abnormality can be judged, the technical effects of monitoring the abnormality of the motorcycle in real time and improving the use safety of the motorcycle are achieved.
In one embodiment, as shown in FIG. 3, there is provided an intelligent security management system for a motorcycle, comprising: the system comprises an operation data monitoring module 1, an operation level matching module 2, an environment image acquisition module 3, a matching evaluation execution module 4, a gesture detection execution module 5 and a safety early warning generation module 6, wherein:
the operation data monitoring module 1 is used for carrying out data interaction of the motorcycle through data interaction equipment to obtain real-time monitoring operation data;
the operation level matching module 2 is used for performing operation level matching based on the real-time monitoring operation data to obtain a matched operation level;
the environment image acquisition module 3 is used for carrying out continuous environment image acquisition through the image acquisition device and constructing real-time road condition characteristics based on the continuous environment image acquisition result;
the matching evaluation execution module 4 is used for carrying out matching evaluation based on the matching operation grade and the real-time road condition characteristics and generating first early warning information based on a matching evaluation grade;
The gesture detection execution module 5 is used for detecting the gesture of the motorcycle user through the sensor equipment and generating second early warning information based on a gesture detection result and the matching evaluation level;
and the safety early warning generation module 6 is used for carrying out operation safety early warning on the motorcycle according to the first early warning information and the second early warning information.
In one embodiment, the matching evaluation execution module 4 further includes:
the early warning information judging unit is used for judging whether the matching evaluation difference level is within a preset difference level threshold value range or not after the first early warning information is generated;
the response supervision generation unit is used for generating a response supervision interval according to the matching evaluation grade and the matching operation grade when the first early warning information is in the preset grade threshold range;
the acquisition evaluation execution unit is used for carrying out response data acquisition evaluation of the data interaction equipment through the response supervision interval and generating an acquisition evaluation result;
and the operation safety management unit is used for carrying out operation safety management on the motorcycle according to the acquisition and evaluation result.
In one embodiment, the matching evaluation execution module 4 further includes:
The evaluation result judging unit is used for judging whether the deceleration value of the acquired evaluation result is in an expected deceleration range or not;
the speed constraint generation unit is used for generating a multi-level speed constraint interval according to a response data acquisition result and the matching evaluation difference level when the speed reduction value is not in the expected speed reduction range;
and the deceleration control execution unit is used for performing operation deceleration control on the motorcycle through the multi-level speed constraint section.
In one embodiment, the matching evaluation execution module 4 further includes:
the speed reduction prompt generation unit is used for generating speed reduction prompt information when the first early warning information is not in the preset difference level threshold range;
the road condition feature acquisition unit is used for acquiring the road condition features after prompting through the image acquisition device;
and the speed reduction control execution unit is used for carrying out forced speed reduction control on the motorcycle when the road condition characteristic acquisition result is that the speed reduction processing is supported.
In one embodiment, the system further comprises:
the traffic data acquisition unit is used for carrying out real-time traffic data interaction through the data interaction equipment to obtain real-time traffic data;
An auxiliary data obtaining unit for generating auxiliary environment data based on the real-time traffic data;
the reminding node setting unit is used for generating a plurality of sections of deceleration reminding nodes based on the auxiliary environment and the matched operation level;
and the operation reminding executing unit is used for carrying out operation reminding of the motorcycle through the multi-section deceleration reminding nodes.
In one embodiment, the alert node setting unit further includes:
a constraint node obtaining unit, configured to obtain an execution constraint node of the multi-segment deceleration reminding node;
the judging result obtaining unit is used for carrying out the deceleration execution judgment of the motorcycle based on the execution constraint node to obtain a deceleration execution judging result;
the control data generation unit is used for generating deceleration control data according to the execution constraint node and the real-time speed information when the deceleration execution judgment result is that deceleration is not executed;
and the running control execution unit is used for controlling the running of the motorcycle through the deceleration control data.
In one embodiment, the system further comprises:
the working information acquisition unit is used for acquiring the working information of the motorcycle through the sensor equipment to obtain an information acquisition result;
The abnormal state evaluation unit is used for inputting the information acquisition result and the real-time monitoring operation data into an intelligent state evaluation model and outputting a state abnormal evaluation result of the motorcycle;
and the monitoring and early warning execution unit is used for monitoring and early warning the motorcycle according to the state abnormality evaluation result.
For a specific embodiment of the intelligent security management system of a motorcycle, reference may be made to the above embodiment of the intelligent security management method of a motorcycle, and the description thereof will not be repeated here. The above-mentioned intelligent safety management device of motorcycle can be implemented by means of all or part of software, hardware and their combination. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in fig. 4. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is used for storing news data, time attenuation factors and other data. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program, when executed by the processor, implements a method for intelligent security management of a motorcycle.
Those skilled in the art will appreciate that the structures shown in FIG. 4 are block diagrams only and do not constitute a limitation of the computer device on which the present aspects apply, and that a particular computer device may include more or less components than those shown, or may combine some of the components, or have a different arrangement of components.
In one embodiment, a computer device is provided comprising a memory and a processor, the memory having stored therein a computer program, the processor when executing the computer program performing the steps of: the data interaction equipment is used for carrying out data interaction on the motorcycle, so that real-time monitoring operation data are obtained; performing operation level matching based on the real-time monitoring operation data to obtain a matched operation level; continuous environment image acquisition is carried out through the image acquisition device, and real-time road condition characteristics are built based on continuous environment image acquisition results; performing matching evaluation based on the matching operation grade and the real-time road condition characteristics, and generating first early warning information based on a matching evaluation grade; detecting the gesture of the motorcycle user through the sensor equipment, and generating second early warning information based on a gesture detection result and the matching evaluation level; and carrying out operation safety early warning on the motorcycle according to the first early warning information and the second early warning information.
In one embodiment, a computer readable storage medium is provided having a computer program stored thereon, which when executed by a processor, performs the steps of: the data interaction equipment is used for carrying out data interaction on the motorcycle, so that real-time monitoring operation data are obtained; performing operation level matching based on the real-time monitoring operation data to obtain a matched operation level; continuous environment image acquisition is carried out through the image acquisition device, and real-time road condition characteristics are built based on continuous environment image acquisition results; performing matching evaluation based on the matching operation grade and the real-time road condition characteristics, and generating first early warning information based on a matching evaluation grade; detecting the gesture of the motorcycle user through the sensor equipment, and generating second early warning information based on a gesture detection result and the matching evaluation level; and carrying out operation safety early warning on the motorcycle according to the first early warning information and the second early warning information.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples merely represent a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the invention. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application is to be determined by the claims appended hereto.
Claims (10)
1. The intelligent safety management method of the motorcycle is characterized in that the method is applied to an intelligent safety management system, the intelligent safety management system is in communication connection with an image acquisition device, a sensor device and a data interaction device, the intelligent safety management system is in a motorcycle driving safety control mode and is connected with a motorcycle control system, and the method comprises the following steps:
the data interaction equipment is used for carrying out data interaction on the motorcycle, so that real-time monitoring operation data are obtained;
performing operation level matching based on the real-time monitoring operation data to obtain matched operation levels, wherein the operation levels are obtained by dividing the running speed of the motorcycle into a plurality of speed thresholds, and constructing multi-level operation levels according to the plurality of speed thresholds, wherein the higher the operation level is, the faster the running speed of the motorcycle is, and the higher the corresponding probability of driving accidents is;
Continuous environment image acquisition is carried out through the image acquisition device, and real-time road condition characteristics are built based on continuous environment image acquisition results;
based on the matching operation grade and the real-time road condition characteristics, carrying out matching evaluation, judging whether the matching operation grade is higher than the operation grade of the real-time road condition characteristics, if so, calculating the difference value of the two operation grades to obtain a matching evaluation grade, and generating first early warning information based on the matching evaluation grade, wherein the matching evaluation grade reflects the degree that the actual driving speed of the motorcycle exceeds the speed requirement of the driving environment in which the motorcycle is positioned, and the first early warning information is used for directly prompting a driver to carry out speed control or activating the intelligent safety management system to assist in speed reduction braking;
the sensor equipment is used for detecting the gesture of the motorcycle user, and second early warning information is generated based on the gesture detection result and the matching evaluation level, and is used for prompting the user to adjust the gesture so as to ensure that the center of gravity of the motorcycle is consistent with the center of gravity of the driver;
and carrying out operation safety early warning on the motorcycle according to the first early warning information and the second early warning information.
2. The method of claim 1, wherein the method further comprises:
after the first early warning information is generated, judging whether the matching evaluation grade is within a preset grade threshold range or not;
when the first early warning information is within the preset difference level threshold range, generating a response supervision interval according to the matching evaluation difference level and the matching operation level;
performing response data acquisition and evaluation of the data interaction equipment through the response supervision interval to generate an acquisition and evaluation result;
and carrying out operation safety management on the motorcycle according to the acquisition and evaluation result.
3. The method of claim 2, wherein the method further comprises:
judging whether the speed reduction value of the acquisition evaluation result is in an expected speed reduction range or not;
when the deceleration value is not in the expected deceleration range, generating a multi-level speed constraint interval according to a response data acquisition result and the matching evaluation level;
and performing operation deceleration control of the motorcycle through the multi-level speed constraint section.
4. The method of claim 2, wherein the method further comprises:
when the first early warning information is not in the preset difference level threshold range, generating a deceleration prompt message;
Collecting road condition characteristics after prompting through the image collecting device;
and when the road condition characteristic acquisition result is that the speed reduction processing is supported, the forced speed reduction control is carried out on the motorcycle.
5. The method of claim 1, wherein the method further comprises:
real-time traffic data interaction is carried out through the data interaction equipment, and real-time traffic data are obtained;
generating auxiliary environment data based on the real-time traffic data;
generating a plurality of sections of deceleration reminding nodes based on the auxiliary environment and the matching operation level;
and carrying out operation reminding of the motorcycle through the multi-section deceleration reminding nodes.
6. The method of claim 5, wherein the method further comprises:
obtaining an execution constraint node of the multi-section deceleration reminding node;
performing deceleration execution judgment on the motorcycle based on the execution constraint node to obtain a deceleration execution judgment result;
when the speed reduction execution judging result is that the speed reduction is not executed, generating speed reduction control data according to the execution constraint node and the real-time speed information;
and controlling the operation of the motorcycle through the deceleration control data.
7. The method of claim 1, wherein the method further comprises:
Acquiring working information of the motorcycle through the sensor equipment to obtain an information acquisition result;
inputting the information acquisition result and the real-time monitoring operation data into an intelligent state evaluation model, and outputting a state abnormality evaluation result of the motorcycle;
and monitoring and early warning the motorcycle according to the state abnormality evaluation result.
8. An intelligent safety management system of a motorcycle, wherein the intelligent safety management system is a motorcycle driving safety control mode and is connected with the motorcycle control system, and the system comprises:
the operation data monitoring module is used for carrying out data interaction of the motorcycle through the data interaction equipment to obtain real-time monitoring operation data;
the operation level matching module is used for performing operation level matching based on the real-time monitoring operation data to obtain matched operation levels, wherein the operation levels are obtained by dividing the running speed of the motorcycle into a plurality of speed thresholds, and the operation levels are constructed according to the speed thresholds, and the higher the operation level is, the faster the running speed of the motorcycle is, and the higher the corresponding probability of driving accidents is;
the environment image acquisition module is used for carrying out continuous environment image acquisition through the image acquisition device and constructing real-time road condition characteristics based on the continuous environment image acquisition result;
The matching evaluation execution module is used for carrying out matching evaluation based on the matching operation grade and the real-time road condition characteristics, judging whether the matching operation grade is higher than the operation grade of the real-time road condition characteristics, if so, calculating the difference value of the two operation grades to obtain a matching evaluation grade, generating first early warning information based on the matching evaluation grade, wherein the matching evaluation grade reflects the degree that the actual driving speed of the motorcycle exceeds the speed requirement of the driving environment in which the motorcycle is positioned, and the first early warning information is used for directly prompting a driver to carry out speed control or activating the intelligent safety management system to assist in speed reduction braking;
the gesture detection execution module is used for detecting the gesture of the motorcycle user through the sensor equipment, generating second early warning information based on a gesture detection result and the matching evaluation level, and the second early warning information is used for prompting the user to carry out gesture adjustment so as to ensure that the center of gravity of the motorcycle is consistent with the center of gravity of the driver relatively;
and the safety early warning generation module is used for carrying out operation safety early warning on the motorcycle according to the first early warning information and the second early warning information.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 7 when the computer program is executed.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 7.
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| JP2000268297A (en) * | 1999-03-16 | 2000-09-29 | Nissan Motor Co Ltd | Safety drive evaluation device |
| JP5005492B2 (en) * | 2007-10-17 | 2012-08-22 | 富士重工業株式会社 | Safe driving support system |
| CN105513358B (en) * | 2016-01-04 | 2018-07-03 | 烟台中正新技术有限公司 | Driving behavior assessment and vehicle running state monitoring and pre-warning system and method |
| CN108663045A (en) * | 2018-04-28 | 2018-10-16 | 山东交通学院 | One kind is ridden carrier gesture recognition alarm method and attitude monitoring warning device |
| CN110155231A (en) * | 2019-05-20 | 2019-08-23 | 清华大学 | Unmanned battery-operated motor cycle |
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