Motorcycle collision detection and processing method, motorcycle, and storage medium

Abstract

The present invention provides a collision detection and processing method for an electric motorcycle, an electric motorcycle, and a storage medium. When the electric motorcycle is currently in operation, a first collision intensity obtained by a collision monitoring device is obtained. When the first collision intensity is greater than a first preset threshold, a panoramic camera is activated and environmental image information obtained by the panoramic camera is obtained. Valid images within a preset range are extracted from the environmental image information. Based on the valid images and a preset algorithm, the collision accident assessment level of the current electric motorcycle is obtained. When the collision accident assessment level is greater than a preset severity level, a valid image and / or a first preset alarm instruction is sent to a first target object. When the collision accident assessment level is less than or equal to the preset severity level, a valid image and / or a second preset alarm instruction is sent to a second target object. The present invention can promptly record and track the collision scene and send valid images and / or alarm instructions to the target object so that timely operation and maintenance or rescue can be carried out.

Description

Technical Field

[0001] The present invention relates to the technical field of electric motorcycles, and in particular to a collision detection and processing method for an electric motorcycle, an electric motorcycle, and a storage medium. Background Art

[0002] With the progress of society, people's awareness of green travel has gradually increased, and shared electric motorcycles have come into being. Electric motorcycle travel is light, convenient, fast and cheap, and has become an important part of people's travel.

[0003] With the popularity and rapid increase in the number of shared electric motorcycles, the safety of shared electric motorcycle travel has received more and more attention. However, in daily traffic travel, shared electric motorcycles are often hit or traffic accidents occur due to riders looking at mobile phones while riding. For example, shared electric motorcycles often knock down pedestrians or are hit by other surrounding vehicles in daily travel. Due to the current lack of targeted and specialized management and control of shared electric motorcycles, after a shared electric motorcycle collision accident, the accident scene cannot be sent to the target object in time, and operation and maintenance and rescue measures cannot be taken in time. It is also impossible to trace and record the accident scene in time. There is often a lack of necessary on-site evidence in judging and analyzing subsequent traffic responsibilities.

[0004] In view of this, it is necessary to propose a collision detection and processing method for an electric motorcycle, an electric motorcycle, and a storage medium to solve or at least alleviate the above-mentioned defects. Summary of the Invention

[0005] The main purpose of the present invention is to provide a collision detection and processing method for an electric motorcycle, an electric motorcycle and a storage medium to solve the problem that after a shared electric motorcycle collides with an obstacle, the collision scene cannot be promptly recorded and the collision scene cannot be promptly notified to the target object.

[0006] In a first aspect, to achieve the above-mentioned objectives, the present invention provides a method for detecting and processing a collision of an electric motorcycle, comprising the steps of:

[0007] S1, obtaining a current running speed of the motorcycle, and determining whether the motorcycle is in a running state according to the running speed;

[0008] S2, when the current motorcycle is in a running state, obtaining a first collision intensity obtained by a collision monitoring device; wherein the collision monitoring device is disposed in a body of the current motorcycle;

[0009] S3, determining whether the first collision intensity is greater than a first preset threshold;

[0010] S4, when the first collision intensity is greater than the first preset threshold, activating a panoramic camera and controlling the panoramic camera to enter a panoramic monitoring mode; wherein the panoramic camera is disposed at the front of the current motorcycle;

[0011] S5, acquiring environmental image information obtained by the panoramic camera, and extracting valid images within a preset range from the environmental image information;

[0012] S6, obtaining a collision accident assessment level of the current motorcycle based on the valid image and a preset algorithm;

[0013] S7, determining whether the collision accident assessment level is greater than a preset severity level;

[0014] S8, when the collision accident assessment level is greater than the preset severity level, sending the valid image and / or the first preset alarm instruction to the first target object;

[0015] S9: When the collision accident assessment level is less than or equal to the preset severity level, sending the valid image and / or the second preset alarm instruction to the second target object.

[0016] Preferably, the step S1 further includes the following steps:

[0017] S11, when the current motorcycle is in a stationary state, obtaining a second collision intensity obtained by the collision monitoring device;

[0018] S12, determining whether the second collision intensity is greater than a second preset threshold;

[0019] S13, when the second collision intensity is greater than the second preset threshold, determining whether the current motorcycle is in a starting state;

[0020] S14, when the current motorcycle is in the starting state, start the panoramic camera and control the panoramic camera to enter the panoramic monitoring mode, and enter step S5.

[0021] Preferably, the step S13 further includes the following steps:

[0022] S131, when the current motorcycle is not in the starting state, starting the panoramic camera and controlling the panoramic camera to enter the panoramic monitoring mode;

[0023] S132, obtaining first environmental image information obtained by the panoramic camera, and extracting a first valid image of a first preset range from the first environmental image information;

[0024] S133, obtaining the first parking position and attribute information of the current motorcycle, and sending the first valid image and / or the first operation and maintenance instruction to the selected operation and maintenance personnel.

[0025] Preferably, the step S133 further includes the following steps:

[0026] S1330: Acquire, based on the first parking position, positions of a plurality of candidate operation and maintenance personnel within a preset range from the first parking position, and acquire a current operation and maintenance workload of each candidate operation and maintenance personnel;

[0027] S1331, determining, as the selected operation and maintenance personnel, the candidate operation and maintenance personnel who is closest to the first parking position and whose current operation and maintenance workload is less than a preset value among the plurality of candidate operation and maintenance personnel;

[0028] S1332: When there are multiple standby operation and maintenance personnel who are closest to the first parking position and whose current operation and maintenance volume is less than the preset value, randomly select one of the standby operation and maintenance personnel as the selected operation and maintenance personnel.

[0029] Preferably, the step S3 further includes the following steps:

[0030] S31, when the first collision intensity is less than or equal to the first preset intensity value, obtaining first vehicle body posture information obtained by a tilt angle monitoring device; wherein the tilt angle monitoring device is disposed in the body of the current motorcycle;

[0031] S32, determining whether the current electric motorcycle is in a dumping state according to the first vehicle body posture information;

[0032] S33, when the condition that the current motorcycle is in the dumping state is met, start the panoramic camera, control the panoramic camera to enter the panoramic monitoring mode, and enter step S5.

[0033] Preferably, the step S12 further includes the following steps:

[0034] S121, when the second collision intensity is less than or equal to the second preset threshold, obtaining second vehicle body posture information obtained by a tilt monitoring device;

[0035] S122, determining whether the current electric motorcycle is in a dumping state according to the second vehicle body posture information;

[0036] S123, when the condition that the current motorcycle is in the dumping state is met, starting the panoramic camera and controlling the panoramic camera to enter a panoramic monitoring mode;

[0037] S124, acquiring second environmental image information obtained by the panoramic camera, and extracting a second valid image of a second preset range from the second environmental image information;

[0038] S125, obtaining the second parking position and attribute information of the current motorcycle, and sending the second valid image and / or second operation and maintenance instruction to the selected operation and maintenance personnel.

[0039] Preferably, the step S122 further includes the following steps:

[0040] S126, when the condition that the current motorcycle is in the dumping state is not met, it is determined that the current motorcycle is in a safe state and returns to step S121.

[0041] Preferably, the step S32 includes the following steps:

[0042] S34, when the condition that the current motorcycle is in the dumping state is not met, it is determined that the current motorcycle is in a safe state and returns to step S31.

[0043] In a second aspect, the present invention also provides an electric motorcycle, comprising an electric motorcycle body, a control system, the collision monitoring device electrically connected to the control system, the panoramic camera and the tilt monitoring device; wherein the collision monitoring device and the tilt monitoring device are both arranged in the body of the electric motorcycle body, and the panoramic camera is arranged at the front of the electric motorcycle body; the control system comprises a memory, a processor, and a computer program stored in the memory and runnable on the processor, and when the processor executes the computer program, the steps of the electric motorcycle collision detection processing method as described above are implemented.

[0044] In a third aspect, the present invention further provides a storage medium storing a computer program, wherein the computer program, when executed by a processor, implements the steps of the above-mentioned method for detecting and processing collisions of an electric motorcycle.

[0045] Compared with the prior art, the present invention has the following beneficial effects:

[0046] The present invention provides a collision detection and processing method for an electric motorcycle, an electric motorcycle, and a storage medium. The method obtains the current running speed of the electric motorcycle, obtains a first collision intensity obtained by a collision monitoring device when the electric motorcycle is in a running state, and when the first collision intensity is greater than a first preset threshold, activates a panoramic camera and obtains environmental image information obtained by the panoramic camera, extracts a valid image within a preset range from the environmental image information, obtains the current electric motorcycle's collision accident assessment level based on the valid image and a preset algorithm, sends a valid image and / or a first preset alarm instruction to a first target object when the collision accident assessment level is greater than a preset severity level, and sends a valid image and / or a second preset alarm instruction to a second target object when the collision accident assessment level is less than or equal to the preset severity level. In this way, when a relatively serious collision accident occurs on the current electric motorcycle, targeted processing measures can be taken promptly and quickly, which not only enables rapid operation and maintenance or rescue, but also records and tracks the collision scene, providing a basis for subsequent analysis and judgment.

[0047] In addition, the present invention also provides a processing method for the motorcycle in a stationary state, and makes targeted processing for the motorcycle in the started state and the non-started state. It can intelligently perceive the collision accident assessment level and can take targeted processing measures in a timely manner. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the structures shown in these drawings without paying any creative work.

[0049] Figure 1 A schematic diagram of a flow chart in one embodiment of the present invention;

[0050] Figure 2 This is a flow chart of steps further including steps after step S1 in one embodiment of the present invention;

[0051] Figure 3 This is a flow chart showing steps further including steps after step S13 in one embodiment of the present invention;

[0052] Figure 4 This is a flowchart diagram of steps before step S133 in one embodiment of the present invention;

[0053] Figure 5 This is a flow chart showing steps further including steps after step S3 in one embodiment of the present invention;

[0054] Figure 6This is a flow chart showing steps further including steps after step S12 in one embodiment of the present invention;

[0055] Figure 7 FIG. 1 is a schematic diagram of the architecture of a control system in one embodiment of the present invention.

[0056] The purpose, features and advantages of the present invention will be further described with reference to the accompanying drawings and in conjunction with the embodiments. DETAILED DESCRIPTION

[0057] It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0058] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0059] It should be noted that all directional indications in the embodiments of the present invention (such as up, down, left, right, front, back, etc.) are only used to explain the relative position relationship, movement status, etc. between the various components under a certain specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication will also change accordingly.

[0060] In addition, the descriptions of "first", "second", etc. in the present invention are for descriptive purposes only and should not be understood as indicating or implying their relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" or "second" may explicitly or implicitly include at least one of such features. In addition, the technical solutions between the various embodiments can be combined with each other, but this must be based on the fact that they can be implemented by ordinary technicians in this field. When the combination of technical solutions is contradictory or cannot be implemented, it should be deemed that such combination of technical solutions does not exist and is not within the scope of protection required by the present invention.

[0061] First, please refer to the attached Figure 1-7 In one embodiment of the present invention, a method for detecting and processing a collision of an electric motorcycle includes the following steps:

[0062] S1, obtain the current running speed of the motorcycle, and determine whether the current motorcycle is in a running state based on the running speed. It should be noted that this embodiment focuses on the post-collision processing method of the motorcycle in the running state. In order to determine whether the current motorcycle is in a running state, this embodiment obtains the current running speed of the motorcycle. Those skilled in the art should know that the current running speed of the motorcycle can be obtained in real time through the vehicle's central control. When the running speed is greater than zero, it is determined that the current motorcycle is in a running state. When the running speed is equal to zero, it is determined that the current motorcycle is in a stationary state. In other embodiments, it can also be known through the position vector change diagram of the current motorcycle in unit time.

[0063] S2, when the current electric motorcycle is in a running state, obtains the first collision intensity obtained by the collision monitoring device; wherein, the collision monitoring device is arranged in the body of the current electric motorcycle. It should be noted that, in order to monitor and obtain the collision intensity between the current electric motorcycle and other obstacles, the present application provides a collision monitoring device in the current electric motorcycle, such as a collision sensor. The collision sensor is well known to those skilled in the art and can be obtained according to actual needs. For example, an inertial mechanical switch structure can be used, which is equivalent to a control switch, and its working state depends on the magnitude of the acceleration of the current electric motorcycle during the collision. According to the structure, it can be divided into mechanical and electronic types. The mechanical types include rolling ball type, roller type, and eccentric ball type. When the current electric motorcycle collides, it can detect the collision intensity signal and send the collision intensity signal to the central control of the electric motorcycle.

[0064] S3: Determine whether the first collision intensity is greater than a first preset threshold. The first preset threshold can be set according to actual needs, specifically, the type, structural strength, and safety requirements of the current motorcycle.

[0065] S4: When the first collision intensity exceeds the first preset threshold, a panoramic camera is activated and controlled to enter a panoramic monitoring mode; wherein the panoramic camera is located at the front of the current motorcycle. It is worth noting that when the first collision intensity exceeds the first preset threshold, it indicates that the current motorcycle has suffered a relatively strong collision. In this case, the panoramic camera located at the front of the current motorcycle is activated to monitor the environment within the collision area in real time, and subsequent judgment is made based on the environmental image information.

[0066] It should be noted that the panoramic camera is also an existing instrument and equipment, which can achieve 360-degree environmental monitoring, and the installation position and installation height of the panoramic camera can meet the needs of the current motorcycle to monitor the surrounding environment after being knocked down. For example, the panoramic camera can be set in the middle of the front of the current motorcycle, and then have a certain height and anti-collision strength, so that the normal operation and monitoring function of the panoramic camera can be guaranteed after the current motorcycle is hit. It is understandable that the number of the panoramic camera can be one, or it can be a plurality of ordinary cameras distributed around the current motorcycle. By synthesizing and calculating the image information of multiple ordinary cameras, the environmental image information around the current motorcycle can also be obtained.

[0067] S5: Obtain the environmental image information obtained by the panoramic camera and extract valid images within a preset range from the environmental image information. Because the environmental image information obtained by the panoramic camera contains a large amount of non-obstacle information, extracting valid images within the preset range from the environmental image information can improve the accuracy and convenience of judgment. The preset range can be set according to actual needs. For example, environmental image information within a specific radius with the panoramic camera as the center can be selected as the valid image.

[0068] S6. Obtain the collision accident assessment level of the current motorcycle based on the effective image and the preset algorithm. The collision accident assessment level of the current motorcycle can be determined based on the effective image combined with the preset algorithm. Specifically, the judgment conditions, methods, and preset algorithms for the collision accident assessment level can be that within the effective image, if it is identified that a person has fallen to the ground or there are many collision debris around, the collision accident assessment level of the current motorcycle can be set to a relatively serious collision accident level. Otherwise, the collision accident assessment level of the current motorcycle can be determined to be average or light. The specific setting can be based on actual needs, so as to classify and process in a refined manner.

[0069] S7: Determine whether the collision accident assessment level is greater than a preset severity level, wherein the preset severity level can be set according to actual needs.

[0070] S8, when the collision accident assessment level is greater than the preset severity level, the effective image and / or the first preset alarm instruction is sent to the first target object. That is to say, when a relatively serious accident level occurs in the current motorcycle, it is necessary to respond and record quickly. This application sends effective images and / or the first preset alarm instruction to the first target object in a timely manner. Among them, the first target can correspond to one or more of the current riding user, the background management system, or the third public security system, and the traffic management system. In this way, after the collision accident occurs, it is possible to respond quickly, record in time, and trace the scene of the crime to facilitate subsequent accident analysis.

[0071] S9: When the collision accident assessment level is less than or equal to the preset severity level, the valid image and / or the second preset alarm instruction are sent to the second target object. Similarly, when a relatively common accident level occurs on the current motorcycle, the valid image and / or the second preset alarm instruction can be sent to the second target object as needed. The second target object can be one or more of the current rider, a backend management system, a third public security system, or a traffic management system. In this way, targeted processing can be performed for collision accident assessment levels of varying severity.

[0072] As a preferred embodiment, the step S1 further includes the following steps:

[0073] S11, when the current motorcycle is in a stationary state, obtaining the second collision intensity obtained by the collision monitoring device. This embodiment further analyzes and processes the situation when the motorcycle is in a stationary state. It should be clarified that when the current motorcycle is in a stationary state, there are generally two states: one is that the current motorcycle is still in the on state and the rider temporarily stops or temporarily leaves the current motorcycle; the other is that the current motorcycle is parked at a specific location, as follows:

[0074] S12: Determine whether the second collision intensity is greater than a second preset threshold. The second preset threshold can be set according to actual needs, specifically, the type, structural strength, and safety requirements of the current motorcycle.

[0075] S13: If the second collision intensity is greater than the second preset threshold, determining whether the motorcycle is in the powered-on state; in other words, the motorcycle has been severely impacted, and further description of the motorcycle's state is required. Generally speaking, if the motorcycle is powered-on, it is likely that the user riding the motorcycle will also be affected by the collision.

[0076] S14: When the current motorcycle is in the startup state, the panoramic camera is activated and controlled to enter the panoramic monitoring mode, and then the process proceeds to step S5. It should be noted that, in order to determine the current situation of the motorcycle and the rider, the panoramic camera is activated and controlled to enter the panoramic monitoring mode, and then the process proceeds to step S5 to determine the subsequent collision accident assessment level. This allows for timely recording, tracking, and reporting of the current motorcycle, and for timely implementation of maintenance or rescue measures.

[0077] As a preferred embodiment, the step S13 further includes the following steps:

[0078] S131: When the current motorcycle is not in the startup state, start the panoramic camera and control the panoramic camera to enter the panoramic monitoring mode. In this embodiment, when the current motorcycle is not in the startup state, the current motorcycle is usually parked at a designated location, such as a parking spot. Similarly, when the current motorcycle suffers a relatively large collision, the panoramic camera is controlled to enter the panoramic monitoring mode to further determine the current motorcycle and promptly perform accident analysis and determination on the motorcycle that was hit, so that subsequent operation and maintenance measures can be taken in a timely manner.

[0079] S132: Obtain first environmental image information obtained by the panoramic camera, and extract a first valid image within a first preset range from the first environmental image information. The first preset range can be set as needed. For example, environmental image information within a preset radius, centered around the panoramic camera, can be used as the first valid image.

[0080] S133: Acquire the first parking position and motorcycle attribute information of the current motorcycle, and send the first valid image and / or first operation and maintenance instruction to the selected operation and maintenance personnel. Because the current motorcycle has been severely impacted, the first parking position and motorcycle attribute information of the current motorcycle, such as the motorcycle code, are acquired at this time, so that the first valid image and / or first operation and maintenance instruction can be sent to the selected operation and maintenance personnel to promptly perform operation and maintenance on the impacted motorcycle.

[0081] Furthermore, the step S133 may further include the following steps:

[0082] S1330: Based on the first parking position, obtain the positions of multiple candidate operation and maintenance personnel within a preset range from the first parking position, and obtain the current operation and maintenance workload of each candidate operation and maintenance personnel. This embodiment provides a specific method for selecting the selected operation and maintenance personnel. By obtaining the first parking position of the current motorcycle and the positions of multiple candidate operation and maintenance personnel, and taking into account the current operation and maintenance workload of each candidate operation and maintenance personnel, the optimal operation and maintenance personnel is comprehensively selected.

[0083] S1331: Determine, as the selected operator, the operator who is closest to the first parking location and whose current maintenance workload is less than a preset value among the plurality of candidate operators. By selecting the operator who is closest to the current motorcycle and whose current maintenance workload is less than the preset value as the selected operator, reasonable, rapid, and efficient scheduling is achieved.

[0084] S1332: When there are multiple candidate operators closest to the first parking position and whose current maintenance workload is less than the preset value, randomly select one of the candidate operators as the selected operator. It should be noted that there may be multiple candidate operators at the same location whose maintenance workload is less than the preset value. In this case, only one of the candidate operators needs to be randomly selected as the selected operator. In other embodiments, the selected operator can also be selected based on actual needs and in combination with specific algorithm requirements.

[0085] As a preferred embodiment, the step S3 further includes the following steps:

[0086] S31, when the first collision intensity is less than or equal to the first preset intensity value, obtain the first vehicle body posture information obtained by the tilt monitoring device; wherein, the tilt monitoring device is arranged in the body of the current motorcycle. In other words, when the current motorcycle is subjected to a lighter collision, since the current motorcycle may be knocked down, or may not be knocked down and remain in its original state, this embodiment further analyzes whether the motorcycle has tilted in this case to make further analysis and explanation. wherein, the tilt monitoring device can be a conventional tilt sensor, and when the motorcycle tilts, the tilt sensor can detect the body angle of the current motorcycle, thereby judging whether the motorcycle is in a tilting state.

[0087] S32, determining whether the current electric motorcycle is in a dumping state according to the first vehicle body posture information;

[0088] At step S33, if the condition that the motorcycle is in the overturned state is met, the panoramic camera is activated and controlled to enter a panoramic monitoring mode, and the process proceeds to step S5. In other words, after the motorcycle is knocked over, it is very likely that the rider will also activate the panoramic camera to enter the panoramic monitoring mode, further determine the collision accident assessment level of the motorcycle, and take targeted measures.

[0089] As another preferred embodiment, the step S12 further includes the following steps:

[0090] S121: When the second collision intensity is less than or equal to the second preset threshold, obtaining second vehicle body posture information obtained by the tilt monitoring device. In this embodiment, further analysis is performed to determine whether the motorcycle has tipped over when the motorcycle is currently stationary and has been subjected to a minor collision.

[0091] S122, determining whether the current electric motorcycle is in a dumping state according to the second vehicle body posture information;

[0092] S123, when the condition that the current motorcycle is in the dumping state is met, starting the panoramic camera and controlling the panoramic camera to enter a panoramic monitoring mode;

[0093] S124: Acquire second environmental image information obtained by the panoramic camera, and extract a second valid image within a second preset range from the second environmental image information. The second preset range can also be set according to actual needs.

[0094] S125, obtaining the second parking position and attribute information of the current motorcycle, and sending the second valid image and / or second operation and maintenance instruction to the selected operation and maintenance personnel.

[0095] Furthermore, the step S122 further includes the following steps:

[0096] At step S126, if the condition that the motorcycle is in the tipping state is not met, the motorcycle is determined to be in a safe state, and the process returns to step S121. This indicates that the motorcycle was not hit by a minor collision and is not in a tipping state. Therefore, the motorcycle is determined to be in a safe state, and the process returns to acquire new data.

[0097] Furthermore, the step S32 includes the following steps:

[0098] At step S34, if the condition that the motorcycle is in the tipping state is not met, the motorcycle is determined to be in a safe state, and the process returns to step S31. This indicates that the motorcycle was not hit by a minor collision and is not in a tipping state. Therefore, the motorcycle is determined to be in a safe state, and the process returns to acquire new data.

[0099] In a second aspect, the present invention also provides an electric motorcycle, comprising an electric motorcycle body, a control system, the collision monitoring device electrically connected to the control system, the panoramic camera and the tilt monitoring device; wherein the collision monitoring device and the tilt monitoring device are both arranged in the body of the electric motorcycle body, and the panoramic camera is arranged at the front of the electric motorcycle body; the control system comprises a memory 52, a processor 51 and a computer program 53 stored in the memory 52 and capable of running on the processor, and when the processor 51 executes the computer program 53, the steps of the collision detection and processing method of the electric motorcycle as described above are implemented.

[0100] In a third aspect, the present invention further provides a storage medium storing a computer program 53. When executed by a processor 51, the computer program 53 implements the steps of the aforementioned method for detecting and processing a collision with a motorcycle. It will be appreciated that, when executed by the processor 51, the aforementioned method for detecting and processing a collision with a motorcycle is implemented. Therefore, all embodiments of the aforementioned method are applicable to this storage medium and can achieve the same or similar beneficial effects.

[0101] The above are only preferred embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention description and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A method for detecting and processing a collision of an electric motorcycle, characterized in that: Including steps: S1, obtaining a current running speed of the motorcycle, and determining whether the motorcycle is in a running state according to the running speed; S2, when the current motorcycle is in a running state, obtaining a first collision intensity obtained by a collision monitoring device; wherein the collision monitoring device is disposed in a body of the current motorcycle; S3, determining whether the first collision intensity is greater than a first preset threshold; S4, when the first collision intensity is greater than the first preset threshold, activating a panoramic camera and controlling the panoramic camera to enter a panoramic monitoring mode; wherein the panoramic camera is disposed at the front of the current motorcycle; S5, acquiring environmental image information obtained by the panoramic camera, and extracting valid images within a preset range from the environmental image information; S6, obtaining a collision accident assessment level of the current motorcycle based on the valid image and a preset algorithm; S7, determining whether the collision accident assessment level is greater than a preset severity level; S8, when the collision accident assessment level is greater than the preset severity level, sending the valid image and / or the first preset alarm instruction to the first target object; S9, when the collision accident assessment level is less than or equal to the preset severity level, sending the valid image and / or the second preset alarm instruction to the second target object; The step S1 further includes the following steps: S11, when the current motorcycle is in a stationary state, obtaining a second collision intensity obtained by the collision monitoring device; S12, determining whether the second collision intensity is greater than a second preset threshold; S13, when the second collision intensity is greater than the second preset threshold, starting the panoramic camera and controlling the panoramic camera to enter the panoramic monitoring mode; S14, determining whether the current electric motorcycle is in a starting state; S15, when the current motorcycle is in the starting state, the process proceeds to step S5; The step S13 further includes the following steps: S131, when the current motorcycle is not in the start state, obtaining first environmental image information obtained by the panoramic camera, and extracting a first valid image of a first preset range from the first environmental image information; S132, obtaining the first parking position and attribute information of the current motorcycle, and sending the first valid image and / or the first operation and maintenance instruction to the selected operation and maintenance personnel; The step S132 also includes the following steps: S1320: Acquire, based on the first parking position, positions of a plurality of candidate operation and maintenance personnel within a preset range from the first parking position, and acquire a current operation and maintenance workload of each candidate operation and maintenance personnel; S1321: Determine, as the selected operation and maintenance personnel, the candidate operation and maintenance personnel who is closest to the first parking position and whose current operation and maintenance workload is less than a preset value among the plurality of candidate operation and maintenance personnel; S1322: When there are multiple standby operation and maintenance personnel who are closest to the first parking position and whose current operation and maintenance volume is less than the preset value, randomly select one of the standby operation and maintenance personnel as the selected operation and maintenance personnel.

2. The motorcycle collision detection and processing method according to claim 1, characterized in that: The step S3 further includes the following steps: S31, when the first collision intensity is less than or equal to a first preset intensity value, obtaining first vehicle body posture information obtained by a tilt angle monitoring device; wherein the tilt angle monitoring device is disposed in the vehicle body of the current motorcycle; S32, determining whether the current electric motorcycle is in a dumping state according to the first vehicle body posture information; S33, when the condition that the current motorcycle is in the dumping state is met, start the panoramic camera, control the panoramic camera to enter the panoramic monitoring mode, and enter step S5.

3. The motorcycle collision detection method according to claim 1, wherein: The step S12 further includes the following steps: S121, when the second collision intensity is less than or equal to the second preset threshold, obtaining second vehicle body posture information obtained by a tilt monitoring device; S122, determining whether the current electric motorcycle is in a dumping state according to the second vehicle body posture information; S123, when the condition that the current motorcycle is in the dumping state is met, starting the panoramic camera and controlling the panoramic camera to enter a panoramic monitoring mode; S124, acquiring second environmental image information obtained by the panoramic camera, and extracting a second valid image of a second preset range from the second environmental image information; S125, obtaining the second parking position and attribute information of the current motorcycle, and sending the second valid image and / or second operation and maintenance instruction to the selected operation and maintenance personnel.

4. The motorcycle collision detection method according to claim 3, wherein: The step S122 further includes the following steps: S126, when the condition that the current motorcycle is in the dumping state is not met, it is determined that the current motorcycle is in a safe state and returns to step S121.

5. The motorcycle collision detection method according to claim 2, wherein: The step S32 includes the following steps: S34, when the condition that the current motorcycle is in the dumping state is not met, it is determined that the current motorcycle is in a safe state and returns to step S31.

6. An electric motorcycle, characterized in that: It includes an electric motorcycle body, a control system, a collision monitoring device electrically connected to the control system, a panoramic camera and an inclination monitoring device; wherein the collision monitoring device and the inclination monitoring device are both arranged in the body of the electric motorcycle body, and the panoramic camera is arranged at the front of the electric motorcycle body; the control system includes a memory, a processor, and a computer program stored in the memory and capable of running on the processor, and when the processor executes the computer program, it implements the steps of the collision detection and processing method for the electric motorcycle as described in any one of claims 1 to 5.

7. A storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the motorcycle collision detection processing method according to any one of claims 1 to 5 are implemented.

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