A shared bicycle helmet safety protection method and system based on intelligent Internet of Things

Abstract

The present invention relates to the field of electronic information technology for shared bicycles, and in particular to a shared bicycle helmet safety protection method and system based on intelligent Internet of Things. The present invention collects damage information of shared bicycle helmets to perform training prediction, predicts the proportion of damaged shared bicycle helmets, and thus formulates a shared bicycle deployment strategy, so that shared bicycle suppliers can reduce losses. At the same time, an alarm is issued for damaged shared bicycle helmets or helmets that have been hit the number of times and intensity that reach a set threshold, and an administrator is notified to perform maintenance, inspection, marking and replacement, thereby ensuring the riding safety of users.

Description

Technical Field

[0001] The present invention relates to the field of electronic information technology for shared bicycles, and in particular to a shared bicycle helmet safety protection method and system based on an intelligent Internet of Things. Background Art

[0002] Currently, shared bicycles have become a convenient and fast choice for people's daily travel. In order to protect the safety of riders or to comply with local laws and regulations, shared bicycles in some markets are equipped with safety helmets for each shared bicycle and require riders to wear them. However, these helmets may be damaged or broken by various factors such as human vandalism and collision during use. In addition, long-term use or high temperature and exposure to the sun in some areas may also cause cracks and deformations in the helmets that are difficult to detect with the naked eye, thus affecting the safety of the helmets and requiring timely replacement to ensure safety.

[0003] Some existing technologies have made some efforts to improve shared bicycle helmets, such as adding a reminder device to the helmet to wear a helmet, adding a visual sensor to the helmet to remind the rider of obstacles in the blind spot of the bicycle helmet, etc. No automatic detection and alarm design for damaged bicycle helmets has been found yet. The existing technology does not have the function of automatically detecting whether the helmet is damaged, deformed, or has small cracks that are difficult to distinguish. Therefore, when the helmet has the above problems, it is impossible to promptly remind the administrator to perform maintenance and replacement, and it is impossible to promptly prevent the user from using the helmet, which poses a safety hazard to the user's riding. Moreover, the existing technology cannot predict regional helmet damage, so it is impossible to avoid damage to shared bicycle helmets as much as possible, which increases the losses of shared bicycle suppliers and potentially threatens the riding safety of users. Summary of the invention

[0004] The main technical problem solved by the present invention is to provide a shared bicycle helmet safety protection method based on the intelligent Internet of Things. The method collects damage information of shared bicycle helmets to perform training and prediction, and predicts the proportion of damaged shared bicycle helmets, so as to make a shared bicycle deployment strategy, so that shared bicycle suppliers can reduce losses. At the same time, an alarm is issued for damaged shared bicycle helmets or helmets that have been impacted with a number and intensity that reaches a set threshold, and the administrator is notified to perform maintenance, inspection, marking and replacement, thereby ensuring the user's riding safety. A shared bicycle helmet safety protection system based on the intelligent Internet of Things is also provided.

[0005] In order to solve the above technical problems, a technical solution adopted by the present invention is: to provide a shared bicycle helmet safety protection method based on the intelligent Internet of Things, which includes the following steps:

[0006] Step S1, collecting information about shared bicycle helmets and information about the locations of shared bicycles, wherein the information about shared bicycle helmets includes damage information, number of collisions, collision intensity information, and usage time information of the shared bicycle helmets, and the information about the locations of the shared bicycles includes the latitude and longitude of the locations of the shared bicycles and weather conditions;

[0007] Step S2: Perform training prediction based on the collected information to predict the proportion of damaged helmets on shared bicycles;

[0008] Step S3: Make a shared bicycle deployment strategy based on the prediction results.

[0009] As an improvement of the present invention, in step S1, damage information of the shared bicycle helmet is detected by a damage detection unit on the shared bicycle helmet, and the damage information includes whether the shared bicycle helmet is damaged and whether the shared bicycle helmet is deformed.

[0010] As a further improvement of the present invention, in step S1, the impact number information and impact force information of the shared bicycle helmet are detected by the impact sensor on the shared bicycle helmet.

[0011] As a further improvement of the present invention, in step S1, the total operational usage time of the shared bicycle helmet and the longitude and latitude of the shared bicycle's location, weather conditions, and time since the last use are detected by an integrated unit on the shared bicycle helmet.

[0012] As a further improvement of the present invention, in step S2, the information of the shared bicycle helmet and the information of the location of the shared bicycle are sent to the management platform through the integrated unit on the shared bicycle helmet, and the training prediction module in the management platform performs training prediction to predict the proportion of damaged helmets on shared bicycles.

[0013] As a further improvement of the present invention, in step S2, an alarm is issued for the helmet whose number of impacts and strength reach a set threshold, and the administrator is notified to perform maintenance, inspection, marking and replacement.

[0014] As a further improvement of the present invention, in step S2, a shared bicycle user who has damaged a shared bicycle helmet a specified number of times is marked as disabled through the management platform.

[0015] As a further improvement of the present invention, for a shared bicycle helmet with a damage mark, the integrated unit on the shared bicycle helmet prohibits the shared bicycle helmet from being unlocked and used.

[0016] A shared bicycle helmet safety protection system based on intelligent Internet of Things, including:

[0017] The collection module is used to collect information about shared bicycle helmets and the location of shared bicycles;

[0018] The training prediction module is used to perform training prediction based on the collected information and predict the proportion of damaged helmets on shared bicycles;

[0019] The strategy module is used to make a shared bicycle deployment strategy based on the prediction results.

[0020] As an improvement of the present invention, the collection module includes:

[0021] A damage detection unit, used to detect damage information of shared bicycle helmets;

[0022] Impact sensor, used to detect the number and intensity of impacts on shared bicycle helmets;

[0023] The integrated unit is used to send the information of the shared bicycle helmet and the location of the shared bicycle to the management platform.

[0024] The beneficial effects of the present invention are as follows: compared with the prior art, the present invention collects damage information of shared bicycle helmets to conduct training prediction, predicts the proportion of damaged shared bicycle helmets, and thus formulates a shared bicycle deployment strategy, so that shared bicycle suppliers can reduce losses. At the same time, an alarm is issued for damaged shared bicycle helmets or helmets that have been impacted with a number and intensity that reaches a set threshold, and the administrator is notified to perform maintenance, inspection, marking and replacement, thereby ensuring the riding safety of users. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 It is a flowchart of the steps of the present invention;

[0026] Figure 2 For the purpose of illustrating the present invention Figure 1 ;

[0027] Figure 3 For the purpose of illustrating the present invention Figure 2 ;

[0028] Figure 4 It is the installation schematic diagram of the present invention;

[0029] Figure numerals: 1-helmet shell, 2-hat brim, 3-safety belt, 4-first electric wire, 5-second electric wire, 6-damage detector, 7-integrated chip, 8-safety buckle, 9-car basket, 10-safety locking device. DETAILED DESCRIPTION

[0030] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. 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.

[0031] Please refer to Figures 1 to 4 The present invention provides a shared bicycle helmet safety protection method based on the intelligent Internet of Things, comprising the following steps:

[0032] Step S1, collecting information about shared bicycle helmets and information about the locations of shared bicycles, the information about shared bicycle helmets includes damage information, number of collisions, collision intensity information, and usage time information of shared bicycle helmets, and the information about the locations of shared bicycles includes the latitude and longitude of the locations of shared bicycles and weather conditions;

[0033] Step S2: Perform training prediction based on the collected information to predict the proportion of damaged helmets on shared bicycles;

[0034] Step S3: Make a shared bicycle deployment strategy based on the prediction results.

[0035] In the present invention, firstly, by collecting the damage information of shared bicycle helmets, training prediction is carried out to predict the proportion of damaged shared bicycle helmets, so as to make a shared bicycle deployment strategy, so that shared bicycle suppliers can reduce losses. At the same time, an alarm is issued for damaged shared bicycle helmets or helmets that have been impacted with a number and intensity that reaches a set threshold, and the administrator is notified to perform maintenance, inspection, marking and replacement, thereby ensuring the riding safety of users.

[0036] In step S1, the damage information of the shared bicycle helmet is detected by the damage detection unit on the shared bicycle helmet, and the damage information includes whether the shared bicycle helmet is damaged and whether the shared bicycle helmet is deformed; the number of impacts and the impact force information of the shared bicycle helmet are detected by the impact sensor on the shared bicycle helmet.

[0037] In the present invention, in step S1, the total operational use time of the shared bicycle helmet and the longitude and latitude of the shared bicycle, weather conditions and time since the last use are detected by an integrated unit on the shared bicycle helmet.

[0038] In step S2, the information of the shared bicycle helmet and the location of the shared bicycle are sent to the management platform through the integrated unit on the shared bicycle helmet, and the training prediction module in the management platform performs training prediction to predict the proportion of damaged shared bicycle helmets.

[0039] In step S2, an alarm is sounded for helmets whose number and intensity of impacts reach a set threshold, reminding management personnel to carry out maintenance; at the same time, for shared bicycle helmets with damage marks, the integrated unit on the shared bicycle helmets prohibits the shared bicycle helmets from being unlocked and used, thereby ensuring the riding safety of users.

[0040] In step S2, the management platform will mark the shared bicycle users who have damaged their shared bicycle helmets a specified number of times as disabled. Specifically, users who do not take good care of their shared bicycle helmets will be marked, and the shared bicycle helmet damage detection mechanism will perform damage detection when users unlock and return shared bicycles. If a user often causes damage to his helmet after use, the user will be marked after this phenomenon occurs a specified number of times. If the user's helmet continues to be damaged in subsequent uses, the user can be marked as disabled and blacklisted.

[0041] In the present invention, in step S1, information about shared bicycle helmets and information about the location of shared bicycles are collected. The information about shared bicycle helmets includes damage information, number of collisions, collision force information, and usage time information of shared bicycle helmets. The information about the location of shared bicycles includes the latitude and longitude of the location of shared bicycles and weather conditions. Specifically, the collected information is shown in Table 1 below:

[0042] Table 1:

[0043] Latitude and longitude The ratio of damaged helmets to all helmets within a specified distance from the helmet The weather in the area at that time (temperature, whether there is strong wind, heavy rain, severe convective weather) Whether the impact sensor on the helmet recorded the impact, the intensity and number of impacts How long has it been since the last time the shared bike the helmet was used? The length of time the helmet has been in operation and the total number of times it has been used Mark (the helmet detected to be damaged or impacted is marked as 1, and the data feedback from the normal helmet is marked as 0)

[0044] In step S2, an XGBoost model is used to perform training based on the collected features described in Table 1. Afterwards, the trained model can be used to predict damage to a given helmet in a given area, under given weather conditions, and under given helmet states. Even if the helmet has not been damaged yet, if the model predicts that the helmet is in the damaged category, it still reflects that the helmet is very likely to be damaged in the state it is in.

[0045] In step S3, based on the prediction results, the XGBoost model is used to make a shared bicycle deployment strategy. The specific prediction conditions are shown in Table 2:

[0046] Table 2:

[0047] Latitude and longitude Weather in the area (temperature, whether there is strong wind, heavy rain, severe convective weather) The operating costs of shared bikes in the region Revenue from bike-sharing operations in the region The prediction of all damaged helmets in the region, that is, the predicted proportion of damaged helmets in the region to the total The number of bikes that bike-sharing operators have budgeted to deploy

[0048] Specifically, shared bicycle operators need to give the number of shared bicycles they have budgeted to deploy in different regions and under different conditions. Based on the prediction results, they can give a shared bicycle deployment strategy for a given region, given weather, and the damage situation of helmets in the region. This will help shared bicycle suppliers provide a shared bicycle deployment strategy with less losses, while also ensuring the safety of users' riding.

[0049] The present invention also provides a shared bicycle helmet safety protection system based on the intelligent Internet of Things, comprising:

[0050] The collection module is used to collect information about shared bicycle helmets and the location of shared bicycles;

[0051] The training prediction module is used to perform training prediction based on the collected information and predict the proportion of damaged helmets on shared bicycles;

[0052] The strategy module is used to make a shared bicycle deployment strategy based on the prediction results.

[0053] The collection module includes:

[0054] A damage detection unit, used to detect damage information of shared bicycle helmets;

[0055] The impact sensor is used to detect the number and intensity of impacts on the shared bicycle helmet.

[0056] The integrated unit is used to send the information of the shared bicycle helmet and the location of the shared bicycle to the management platform.

[0057] In addition, the damage detection unit includes:

[0058] The first detector is used to detect whether the shared bicycle helmet is damaged;

[0059] The second detector is used to detect whether the shared bicycle helmet is deformed;

[0060] a damage judgement device, used for collecting detection data of the first detector and the second detector;

[0061] Furthermore, the integrated unit includes:

[0062] A communicator, used for receiving information sent by the damage determination device;

[0063] Locator, used to locate the longitude and latitude of the shared bicycle;

[0064] Temperature and humidity sensor, used to detect the temperature and humidity of the location where the shared bicycle is located;

[0065] A timer is used to calculate the length of time since the last time a shared bicycle was used.

[0066] The present invention provides an embodiment of a shared bicycle helmet, which includes a helmet shell 1, a brim 2 and a safety belt 3 connected to the helmet shell 1, a first detector for detecting whether the helmet shell 1 is damaged, a second detector for detecting whether the helmet shell 1 is deformed, and a damage judgement device 6 for collecting detection data of the first detector and the second detector. The first detector is embedded in the helmet shell 1, the second detector is arranged in the edge of the helmet shell 1, and the damage judgement device 6 is arranged in the helmet shell 1 and is electrically connected to the first detector and the second detector, respectively.

[0067] In the embodiment, the damage judgement device 6 is used to judge whether the helmet shell 1 is damaged and whether the helmet shell 1 is deformed by respectively checking whether the first detector and the second detector are broken. If the helmet shell 1 is damaged or deformed, an alarm message is generated.

[0068] In the embodiment, the first detector uses a first electric wire 4 arranged in a criss-cross shape in the helmet shell 1; the first electric wire 4 has a relatively thin diameter and can break when the helmet shell 1 is damaged, cracked or deformed. When the user sends a request to unlock the shared bicycle, the circuit will send out a current to detect whether the first electric wire 4 is open circuited. If there is a short circuit and it cannot conduct electricity, it is determined that the helmet shell 1 is damaged or cracked.

[0069] The second detector uses a second electric wire 5 embedded in a circle of the edge of the helmet shell 1; specifically, the second electric wire 5 is mainly used to detect whether the helmet shell 1 is deformed. When the helmet shell 1 is deformed, the second electric wire 5 breaks and cannot conduct electricity, thereby judging that the second electric wire 5 is deformed.

[0070] When the user sends a request to unlock the shared bicycle or is triggered regularly when the shared bicycle is not in service, the damage detector 6 will send a small current to the first wire 4 and the second wire 5 to determine whether a circuit is broken. If a circuit is broken, it is determined that the helmet is damaged, cracked or deformed.

[0071] In the embodiment, the helmet shell 1 is also provided with an integrated chip 7 (i.e., an integrated unit) for collecting damage information and impact information of the helmet shell 1 and sending it to the management platform. The integrated chip 7 includes an impact sensor for detecting the number of impacts and the impact force information of the helmet shell 1 and a communicator electrically connected to the damage judgement device 6 and the impact sensor, respectively. The communicator sends the information collected from the damage judgement device 6 and the impact sensor to the management platform. Specifically, the communicator receives the signal sent by the damage judgement device 6. If the signal indicates that the helmet is not damaged, the user is allowed to unlock the shared bicycle. Otherwise, if the damage judgement device 6 transmits If the signal is that the helmet is damaged, the user will not be allowed to unlock the shared bicycle; in addition, the communicator will also transmit the information of the damaged helmet to the management platform so that the management center can promptly repair and replace the helmet; the impact sensor can record the strength of each impact on the helmet. When the helmet is hit higher than the set threshold or is hit a certain number of times, the impact sensor will send a signal to the communicator, and the communicator will trigger the damage judgement device 6 to make a damage judgment. If the helmet is damaged due to human impact, the information will be transmitted to the management center in time; the communicator can also regularly send the data stored in the impact sensor to the management center for statistics on the number of impacts.

[0072] In the embodiment, a safety buckle 8 is provided on the safety belt 3, and the safety buckle 8 is connected with a safety locking device 10 provided in the basket 9 of the shared bicycle, and the safety locking device 10 is wirelessly connected with the communicator; specifically, the safety locking device 10 has its own signal transceiver chip, and when the user's unlocking request arrives, if the damage judgement device 6 detects that the helmet is damaged, the communicator will send information to the safety locking device 10 of the basket 9 of the shared bicycle, lock the safety buckle 8, and reject the unlocking request for the shared bicycle, so that when the helmet shell 1 is damaged, the user cannot unlock the vehicle, nor can he take the helmet shell 1 out of the basket.

[0073] In the embodiment, the integrated chip 7 also includes a locator electrically connected to the communicator and used to locate the longitude and latitude of the helmet shell 1, a temperature and humidity sensor electrically connected to the communicator and used to detect the temperature and humidity of the helmet shell 1, and a timer electrically connected to the communicator and used to calculate the length of time since the helmet shell 1 was last used. The communicator can send the longitude and latitude of the helmet shell 1, the temperature and humidity of the helmet shell 1, and the length of time since the helmet shell 1 was last used to the management platform, so that the management platform can make predictions, which is convenient for shared bicycle operators to give the number of shared bicycles they have budgeted for in different regions and under different conditions, and can also give a shared bicycle deployment strategy for a given region, given weather, and the damage status of helmets in the region.

[0074] The above description is only an implementation mode of the present invention, and does not limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made by using the contents of the present invention specification 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 shared bicycle helmet safety protection method based on intelligent Internet of Things, characterized in that: The steps include: Step S1, collecting information about shared bicycle helmets and information about the locations of shared bicycles, wherein the information about shared bicycle helmets includes damage information, number of collisions, collision intensity information, and usage time information of the shared bicycle helmets, and the information about the locations of the shared bicycles includes the latitude and longitude of the locations of the shared bicycles and weather conditions; In step S1, damage information of the shared bicycle helmet is detected by a damage detection unit on the shared bicycle helmet, and the damage information includes whether the shared bicycle helmet is damaged and whether the shared bicycle helmet is deformed; The damage detection unit comprises: The first detector is used to detect whether the shared bicycle helmet is damaged; The second detector is used to detect whether the shared bicycle helmet is deformed; A damage judgement device, used for collecting detection data of the first detector and the second detector, and judging whether the shared bicycle helmet is damaged and deformed by respectively judging whether the first detector is broken and whether the second detector is broken, and generating alarm information if the shared bicycle helmet is damaged and deformed; Step S2: Based on the collected information, an XGBoost model is used for training and prediction, and the collected information is used as the input of the XGBoost model to predict and output the percentage of damaged helmets on shared bicycles; wherein the collected information includes: damage information, number of collisions, collision intensity, and usage time information of the shared bicycle helmets, as well as the latitude and longitude of the shared bicycle's location and weather conditions; Step S3: Based on the prediction results, use the XGBoost model to make a shared bicycle deployment strategy.

2. According to the method for protecting the safety of a shared bicycle helmet based on the intelligent Internet of Things according to claim 1, it is characterized in that: In step S1, the impact number and impact force information of the shared bicycle helmet are detected by the impact sensor on the shared bicycle helmet.

3. A shared bicycle helmet safety protection method based on intelligent Internet of Things according to claim 2, characterized in that: In step S1, the total operational usage time of the shared bicycle helmet, the longitude and latitude of the shared bicycle, the weather conditions, and the time since the last use are detected through the integrated unit on the shared bicycle helmet.

4. A shared bicycle helmet safety protection method based on intelligent Internet of Things according to claim 3, characterized in that: In step S2, the information of the shared bicycle helmet and the location of the shared bicycle are sent to the management platform through the integrated unit on the shared bicycle helmet, and the training prediction module in the management platform performs training prediction to predict the proportion of damaged shared bicycle helmets.

5. A shared bicycle helmet safety protection method based on intelligent Internet of Things according to claim 4, characterized in that: In step S2, an alarm is issued for the helmets whose impact times and strength reach the set threshold, and the administrator is notified to perform maintenance, inspection, marking and replacement.

6. A shared bicycle helmet safety protection method based on intelligent Internet of Things according to claim 5, characterized in that: In step S2, a shared bicycle user who has damaged a shared bicycle helmet a specified number of times is marked as disabled through the management platform.

7. A shared bicycle helmet safety protection method based on intelligent Internet of Things according to claim 5, characterized in that: For shared bicycle helmets with damage marks, the integrated unit on the shared bicycle helmet prohibits the shared bicycle helmet from being unlocked and used.

8. The system of a shared bicycle helmet safety protection method based on intelligent Internet of Things according to claim 1 is characterized in that: include: The collection module is used to collect information about shared bicycle helmets and the location of shared bicycles; The training prediction module is used to perform training prediction based on the collected information and predict the proportion of damaged helmets on shared bicycles; The strategy module is used to make a shared bicycle deployment strategy based on the prediction results.

9. The system of a shared bicycle helmet safety protection method based on intelligent Internet of Things according to claim 8 is characterized in that: The collection module comprises: A damage detection unit, used to detect damage information of shared bicycle helmets; Impact sensor, used to detect the number and intensity of impacts on shared bicycle helmets; The integrated unit is used to send the information of the shared bicycle helmet and the location of the shared bicycle to the management platform.

Images