A low-power navigation method and system based on a smart wearable device

Abstract

The application is suitable for the field of low-power navigation technology, and particularly relates to a low-power navigation method and system based on a smart wearable device, which comprises the following steps: S100: via the smart wearable device, locating a starting point of a user, receiving an ending point input by the user, generating a navigation route, drawing a planar distribution map around the navigation route, and cutting the navigation route into a plurality of segments according to the order of the user's travel, wherein the segments at least include a first segment and a second segment; and S200: finding all shared electric vehicles in the segments and selecting a target vehicle. The application can monitor the moving path of the user by determining the maximum value and verifying the Bluetooth signal of the user, and timely reminds the user when the user deviates from the navigation route, thereby effectively ensuring the navigation accuracy and improving the user experience.

Description

Technical Field

[0001] This invention relates to the field of low-power navigation technology, and in particular to a low-power navigation method and system based on smart wearable devices. Background Technology

[0002] Smart wearable devices encompass various product types, such as smartwatches, smart bracelets, smart glasses, and smart headphones. With the development of smart wearable devices, their application in the navigation field is experiencing rapid growth. By integrating advanced positioning technologies and sensors, such as GPS, accelerometers, and gyroscopes, smart wearable devices can achieve high-precision real-time navigation. However, low-power design is crucial for navigation, as the continuous real-time positioning and data processing require significant power consumption, which can easily lead to insufficient battery life and disrupt normal navigation.

[0003] Therefore, "how to effectively reduce the power consumption of smart wearable devices" is the technical problem that this invention aims to solve. Summary of the Invention

[0004] The purpose of this invention is to provide a low-power navigation method and system based on smart wearable devices, so as to solve the problem of "how to effectively reduce the power consumption of smart wearable devices" mentioned in the background art.

[0005] To achieve the above objectives, the present invention provides the following technical solution:

[0006] A low-power navigation method based on a smart wearable device, the method comprising:

[0007] S100: The user's starting point is located via a smart wearable device, the user's input destination is received, a navigation route is generated, a planar distribution map of the surrounding area of ​​the navigation route is drawn, and the navigation route is divided into several segments according to the user's travel order, with intersections as dividing points. The segments include at least the first segment and the second segment.

[0008] S200: Locate all shared electric vehicles within the segments and select target vehicles, wherein the target vehicles include: first target vehicle, second target vehicle, ..., nth target vehicle, and the distance between two adjacent target vehicles is greater than a threshold.

[0009] S300: Locate the position of the target vehicle, obtain the Bluetooth device pairing permission of the target vehicle, determine whether the first target vehicle is within the first segment, if it is, trigger the activation of the reminder mechanism pre-built in the first target vehicle, wherein the reminder mechanism includes: light vibration or voice reminder, if it is not, calculate the maximum value of the time required for the user to reach the first target vehicle.

[0010] S400: Determine whether the first target vehicle receives the Bluetooth signal from the smart wearable device within the maximum value range. If so, based on the navigation route, determine the user's turn at the next intersection at the first target vehicle, grant the matching permission, establish a data channel between the smart wearable device and the first target vehicle, and push the turn to the smart wearable device via the data channel.

[0011] If the first target vehicle does not receive the user's Bluetooth signal, it obtains the user's real-time location data, determines whether the user has deviated from the navigation route, and if so, pushes a vibration reminder to the smart wearable device.

[0012] Furthermore, S100 includes:

[0013] Obtain the traffic congestion index of the navigation route and update the navigation route;

[0014] The number of branch paths in each segment is counted, the priority of each segment is configured, and the device parameters of the smart wearable device are adjusted based on the priority. The device parameters include at least: brightness, positioning frequency, and dynamic effects.

[0015] Furthermore, S100 also includes:

[0016] In the plan, the public facilities on both sides of the segment are marked, and the public facilities include at least: shops, buildings and green spaces;

[0017] The segments are merged or further divided based on the number of public facilities.

[0018] Furthermore, S200 includes:

[0019] The Bluetooth beacon devices within the segment are located, including: shared electric vehicles, smart bus stop signs, smart streetlights, and monitoring equipment equipped with Bluetooth modules;

[0020] The number of shared electric vehicles in the segment is counted. If the number is "0", the shared electric vehicle that passes by first in the next segment is identified as the target vehicle according to the order. Based on a preset frequency, the user's real-time location is read intermittently in the segment, and the turning signal of the next intersection is pushed to the user.

[0021] If the number is greater than "1", a cluster of shared electric vehicles is defined, and a shared electric vehicle is randomly selected from the cluster and defined as the target vehicle.

[0022] Furthermore, S300 includes:

[0023] The communication range of the Bluetooth device of the first target vehicle is read. When the first target vehicle detects the Bluetooth signal of the smart wearable device, the activation reminder mechanism is triggered.

[0024] By integrating the navigation route and the sequence, the last target vehicle to pass through the segment is identified, a data channel is established between the last target vehicle and the smart wearable device, and the turn signal for the next intersection is pushed to the smart wearable device.

[0025] Furthermore, S300 also includes:

[0026] Retrieve the user's historical movement data and calculate the average movement speed in the historical movement data;

[0027] Select test points from the navigation route, collect the real-time speed of the test points, and use the real-time speed to correct the average movement speed;

[0028] Based on the distance between the starting point and the first target vehicle, the maximum required time is calculated using the average moving speed.

[0029] Furthermore, S400 includes:

[0030] If the first target vehicle does not receive the user's Bluetooth signal and the user has not deviated from the navigation route, set the offset of the maximum value, obtain the current time, and when the current time meets the offset, obtain the user's real-time location data and determine again whether the user has deviated from the navigation route.

[0031] If the user deviates from the navigation route, a vibration alert is pushed to the smart wearable device, and an alternative route is generated. The alternative route and the vibration alert are then embedded into a pre-built display window, and a selection button is enabled.

[0032] Furthermore, the system includes:

[0033] The segmentation module is used to locate the user's starting point via a smart wearable device, receive the user's input destination, generate a navigation route, draw a planar distribution map of the surrounding area of ​​the navigation route, and divide the navigation route into several segments according to the user's travel order, using intersections as dividing points. The segments include at least a first segment and a second segment.

[0034] The search module is used to find all the shared electric vehicles in the segment and select the target vehicle, wherein the target vehicle includes: the first target vehicle, the second target vehicle, ..., the nth target vehicle, and the distance between two adjacent target vehicles is greater than a threshold.

[0035] The reminder module is used to locate the position of the target vehicle, obtain the Bluetooth device pairing permission of the target vehicle, determine whether the first target vehicle is within the first segment, and if it is, trigger the activation of the reminder mechanism pre-built in the first target vehicle, wherein the reminder mechanism includes: light vibration or voice reminder; if it is not, calculate the maximum value of the time required for the user to reach the first target vehicle.

[0036] The acquisition module is used to determine whether the first target vehicle receives the Bluetooth signal of the smart wearable device within the maximum value. If so, based on the navigation route, it determines the user's turn at the next intersection at the first target vehicle, grants the matching permission, establishes a data channel between the smart wearable device and the first target vehicle, and pushes the turn to the smart wearable device through the data channel.

[0037] If the first target vehicle does not receive the user's Bluetooth signal, it obtains the user's real-time location data, determines whether the user has deviated from the navigation route, and if so, pushes a vibration reminder to the smart wearable device.

[0038] Furthermore, the segmentation module includes:

[0039] An update unit is used to obtain the traffic congestion index of the navigation route and update the navigation route;

[0040] A statistics unit is used to count the number of branch roads in each segment, configure the priority of each segment, and adjust the device parameters of the smart wearable device based on the priority, wherein the device parameters include at least: brightness, positioning frequency and dynamic effects.

[0041] A marking unit is used to mark the public facilities on both sides of the segment in the plan distribution map, wherein the public facilities include at least: shops, buildings and green spaces;

[0042] The reprocessing unit is used to merge or re-divide the segments according to the number of the public facilities.

[0043] Furthermore, the search module includes:

[0044] The positioning unit is used to locate the Bluetooth beacon devices within the segment, wherein the Bluetooth beacon devices include: shared electric vehicles, smart bus stop signs, smart streetlights, and monitoring equipment equipped with Bluetooth modules;

[0045] The reading unit is used to count the number of shared electric vehicles in the segment. If the number is "0", the shared electric vehicle that passes by first in the next segment is identified as the target vehicle according to the order. Based on a preset frequency, the real-time location of the user is intermittently read in the segment, and the turning signal of the next intersection is pushed to the user.

[0046] A definition unit is used to divide the shared electric vehicle clusters when the number is greater than "1", and randomly select a shared electric vehicle from the cluster and define it as the target vehicle.

[0047] Compared with the prior art, the beneficial effects of the present invention are:

[0048] By dividing the navigation route into several segments, navigation accuracy can be improved, thus providing users with more precise route planning. By finding and matching shared electric vehicles, the navigation route can be corrected, and the user's direction of travel can be guided. While ensuring navigation effectiveness, the power consumption of smart wearable devices during navigation is greatly reduced. By determining the maximum value and verifying the user's Bluetooth signal, the user's movement path can be monitored, and the user can be promptly reminded when deviating from the navigation route, effectively ensuring navigation accuracy and improving user experience. Attached Figure Description

[0049] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention.

[0050] Figure 1 A flowchart illustrating a low-power navigation method based on a smart wearable device provided in an embodiment of the present invention;

[0051] Figure 2 This is a first sub-flowchart of a low-power navigation method based on a smart wearable device provided in an embodiment of the present invention;

[0052] Figure 3 This is a second sub-flow diagram of a low-power navigation method based on a smart wearable device provided in an embodiment of the present invention;

[0053] Figure 4 This is a third sub-flow diagram of a low-power navigation method based on a smart wearable device provided in an embodiment of the present invention;

[0054] Figure 5 This is a fourth sub-flow diagram of a low-power navigation method based on a smart wearable device provided in an embodiment of the present invention;

[0055] Figure 6 This is a block diagram of a low-power navigation system based on a smart wearable device provided in an embodiment of the present invention;

[0056] Figure 7 A block diagram illustrating the composition of a segmentation module in a low-power navigation system based on a smart wearable device, provided in an embodiment of the present invention.

[0057] Figure 8 A block diagram illustrating the composition of a search module in a low-power navigation system based on a smart wearable device, provided in an embodiment of the present invention.

[0058] Figure 9 A block diagram illustrating the composition of an alert module in a low-power navigation system based on a smart wearable device, provided in an embodiment of the present invention.

[0059] Figure 10 This is a block diagram of the acquisition module in a low-power navigation system based on a smart wearable device, provided in an embodiment of the present invention. Detailed Implementation

[0060] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0061] In Example 1, Figure 1 The implementation flow of the low-power navigation method based on a smart wearable device provided in this embodiment of the invention is illustrated below, and is described in detail below:

[0062] S100: The user's starting point is located via a smart wearable device, the user's destination is received, a navigation route is generated, a planar distribution map of the surrounding area of ​​the navigation route is drawn, and the navigation route is divided into several segments according to the user's travel order, with intersections as dividing points. The segments include at least a first segment and a second segment.

[0063] Using smart wearable devices, the system locates the user's real-time position and uses this position as the starting point. It then receives the user's input of the destination, which can be either text or voice. The system aggregates the starting and ending points, queries a map service provider, generates a navigation route, and draws a planar distribution map along both sides of the route. Using intersections as dividing points, the navigation route is segmented into several segments, each numbered to identify the first segment, second segment, ..., nth segment. These segments are essentially straight sections of the navigation route.

[0064] In this embodiment, the smart wearable device is not limited and can be a smartwatch, smart bracelet, or smart glasses, etc.

[0065] S200: Locate all shared electric vehicles within the segments and select target vehicles, wherein the target vehicles include: first target vehicle, second target vehicle, ..., nth target vehicle, and the distance between two adjacent target vehicles is greater than a threshold.

[0066] Within each segment, Bluetooth beacon devices are located. In this embodiment, the Bluetooth beacon device is a shared electric vehicle. Based on life experience, it is known that shared electric vehicles are usually equipped with Bluetooth devices to communicate with Bluetooth beacons or other Bluetooth identification devices on the ground to ensure that the shared electric vehicles are parked in designated areas.

[0067] In each segment, target vehicles are selected and numbered to obtain the first target vehicle, the second target vehicle, ..., the nth target vehicle. It should be noted that the distance between two adjacent target vehicles is greater than a threshold, which is determined by the number of shared electric vehicles in the area. In this application, the main purpose of the target vehicles is to guide and correct the user's movement path. If guidance is given too frequently, although it can improve navigation accuracy, it will increase the power consumption of smart wearable devices, so the interval between target vehicles needs to be controlled.

[0068] S300: Locate the position of the target vehicle, obtain the Bluetooth device pairing permission of the target vehicle, determine whether the first target vehicle is within the first segment, if it is, trigger the activation of the pre-built reminder mechanism in the first target vehicle, wherein the reminder mechanism includes: light vibration or voice reminder, if it is not, calculate the maximum value of the time required for the user to reach the first target vehicle.

[0069] The system locates the target vehicle's position, obtains pairing permissions for the target vehicle's Bluetooth device, and determines whether the first target vehicle is within the first segment. If it is, it triggers the first target vehicle's reminder mechanism to alert the user that the movement path is correct. If it is not, it calculates the maximum time required for the user to reach the first target vehicle.

[0070] S400: Determine whether the first target vehicle receives the Bluetooth signal from the smart wearable device within the maximum value range. If so, based on the navigation route, determine the user's turn at the next intersection at the first target vehicle, grant the matching permission, establish a data channel between the smart wearable device and the first target vehicle, and push the turn to the smart wearable device via the data channel.

[0071] If the first target vehicle is within the maximum value range and receives the Bluetooth signal from the user's smart wearable device, when the user arrives near the first target vehicle, the system determines the user's turn at the next intersection, establishes a data channel between the first target vehicle and the smart wearable device, and pushes the turn signal at the next intersection to the smart wearable device.

[0072] If the first target vehicle does not receive the user's Bluetooth signal, it obtains the user's real-time location data, determines whether the user has deviated from the navigation route, and if so, pushes a vibration reminder to the smart wearable device.

[0073] If the first target vehicle is within the maximum value and does not receive the user's Bluetooth signal, the user is located using a smart wearable device to determine if the user has deviated from the flight path. If so, a vibration alert is sent to the user's smart wearable device.

[0074] It is worth mentioning that the shared electric vehicle involved in the technical solution of this invention is a vehicle that is not moving and can send relevant information normally.

[0075] In Example 2, Figure 2 The implementation flow of the low-power navigation method based on a smart wearable device provided by an embodiment of the present invention is shown below. S100 is described in detail below:

[0076] S101: Obtain the traffic congestion index of the navigation route and update the navigation route.

[0077] Obtain traffic congestion indexes for navigation routes from map service providers and update the navigation routes accordingly.

[0078] S102: Calculate the number of branch roads in each segment, configure the priority of each segment, and adjust the device parameters of the smart wearable device based on the priority, wherein the device parameters include at least: brightness, positioning frequency and dynamic effect.

[0079] Calculate the number of all branch roads within the segment. In this application, branch roads are not the same as intersections. Branch roads are the entrances and exits of buildings such as residential areas and shopping malls, while intersections refer only to three-way intersections or crossroads. If there are more branch roads in the segment, they should be given a higher priority. At the same time, the device parameters of the smart wearable device should be adjusted, such as increasing the brightness and increasing the positioning frequency. The benefit of doing this is to better remind users and prevent them from taking the wrong branch road.

[0080] In Example 3, Figure 2 The implementation flow of the low-power navigation method based on a smart wearable device provided in this embodiment of the invention is shown below. S100 is further described in detail below:

[0081] S103: In the plan, the public facilities on both sides of the segment are marked, wherein the public facilities include at least: shops, buildings and green spaces.

[0082] The plan shows the public facilities on both sides of the segment, including shops, buildings, and green spaces.

[0083] S104: Merge or re-divide the segments according to the number of public facilities.

[0084] Based on the number of public facilities on both sides of a segment, segments can be merged or further divided. For example, if a segment has "0" public facilities on both sides, meaning the segment is surrounded by trees or open space, it can be merged with the next segment because the probability of a user going astray in this segment is low. Therefore, merging segments can reduce the pairing frequency between smart wearable devices and shared electric bikes, thereby reducing power consumption. Conversely, if a segment has many public facilities, the probability of a user going astray is high. In this case, the segment can be further divided, increasing the number of segments and the frequency with which shared electric bikes remind users, thus preventing users from going astray.

[0085] In Example 4, Figure 3 The implementation flow of the low-power navigation method based on a smart wearable device provided in this embodiment of the invention is shown below. S200 is described in detail below:

[0086] S201: Locate the Bluetooth beacon devices within the segment, wherein the Bluetooth beacon devices include: shared electric vehicles, smart bus stop signs, smart streetlights, and monitoring equipment equipped with Bluetooth modules.

[0087] If the number of shared electric bikes within the navigation route area is small, below a certain threshold, then Bluetooth beacon devices within the segment can be located. These Bluetooth beacon devices can then be paired with smart wearable devices to correct the user's route.

[0088] S202: Count the number of shared electric vehicles in the segment. If the number is "0", determine the first shared electric vehicle to pass through the next segment as the target vehicle according to the order. Based on the preset frequency, intermittently read the user's real-time location in the segment and push the turn signal of the next intersection to the user. If the number is greater than "1", divide the shared electric vehicle into clusters and randomly select a shared electric vehicle from the cluster and define it as the target vehicle.

[0089] If the number of shared electric bikes in a certain segment is "0", meaning there are no shared electric bikes in that segment, then the shared electric bike that the user first passed in the next segment can be identified and designated as the target vehicle. When the user moves in a segment without shared electric bikes, the user's real-time location is obtained at a preset frequency, and the user is pushed the turn signal for the next intersection, which is either a left or right turn. If there are shared electric bikes in the segment the user is traveling through, the shared electric bikes are grouped according to their clustering degree, and a shared electric bike is randomly selected from the group and defined as the target vehicle.

[0090] In Example 5, Figure 4The implementation flow of the low-power navigation method based on a smart wearable device provided in this embodiment of the invention is shown below. S300 is described in detail below:

[0091] S301: Read the communication range of the Bluetooth device of the first target vehicle. When the first target vehicle finds the Bluetooth signal of the smart wearable device, trigger the start reminder mechanism.

[0092] The communication range of the Bluetooth device of the first target vehicle is read. When the first target vehicle finds the Bluetooth signal of the smart wearable device, that is, when the user's smart wearable device enters the communication range, the activation reminder mechanism is triggered. The reminder mechanism is either a flashing light or a voice reminder.

[0093] In actual use, if the user's movement path is the same as the navigation route, when the user's smart wearable device enters the communication range of the first target vehicle, a reminder mechanism is activated to remind the user that the movement path is correct. The reminder can be made by flashing the lights of the shared electric vehicle or by playing a voice reminder that "the path is correct".

[0094] S302: Integrate the navigation route and the sequence, find the last target vehicle that passed through the segment, establish a data channel between the last target vehicle and the smart wearable device, and push the turn signal of the next intersection to the smart wearable device.

[0095] Locate the target vehicle that last passed through the segment, and based on the data channel between this target vehicle and the smart wearable device, push the turn signal for the next intersection to the smart wearable device.

[0096] In Example 6, Figure 4 The implementation flow of the low-power navigation method based on a smart wearable device provided in this embodiment of the invention is shown below. S300 is further described in detail below:

[0097] S303: Retrieve the user's historical movement data and calculate the average movement speed in the historical movement data.

[0098] The system retrieves the user's historical movement data, which includes the distance of a single movement, the maximum speed, the average speed, and the time. Based on the distance and time of each movement, the average speed is calculated.

[0099] S304: Select test points from the navigation route, collect the real-time speed of the test points, and use the real-time speed to correct the average moving speed;

[0100] In the navigation route, test points are selected, the real-time speed of the test points is collected, and the average movement speed is corrected.

[0101] S305: Based on the distance between the starting point and the first target vehicle, the maximum required time is calculated using the average moving speed.

[0102] Using distance and average movement speed, calculate the time required for the user to reach the first target vehicle, and adjust the required time according to the actual situation. The specific adjustment value should be predetermined; for example, if the required time is 20 minutes, the adjustment value can be 5 minutes, that is, the maximum value is 25 minutes; if the required time is 30 minutes, the adjustment value can be 8 minutes, and the maximum value is 38 minutes.

[0103] Determine the maximum time required. If the user has not reached the first target vehicle within the maximum time, use a smart wearable device to obtain the user's real-time location and determine whether the user has deviated from the navigation route.

[0104] In Example 7, Figure 5 The implementation flow of the low-power navigation method based on a smart wearable device provided by an embodiment of the present invention is shown below. S400 is described in detail below:

[0105] S401: If the first target vehicle does not receive the user's Bluetooth signal and the user has not deviated from the navigation route, set the offset of the maximum value, obtain the current time, and when the current time meets the offset, obtain the user's real-time location data and determine again whether the user has deviated from the navigation route.

[0106] If the first target vehicle does not receive the user's Bluetooth signal within the maximum time, and the user's real-time location is compared to determine that the user has not deviated from the navigation route, the offset can be set again. If the user still has not reached the first target vehicle within the time corresponding to the offset, the user's real-time location data is obtained again to determine whether the user has deviated from the navigation route.

[0107] S402: If the user deviates from the navigation route, a vibration alert is pushed to the smart wearable device, and an alternative route is generated. The alternative route and the vibration alert are embedded into a pre-built display window, and a selection button is enabled.

[0108] If the user deviates from the navigation route, a vibration alert will be sent to the user using a smart wearable device. At the same time, an alternative route will be generated and integrated into the display window, where a selection button will be available. If the user needs to change the navigation route, they can use the selection button to adjust the route to the alternative route.

[0109] Figure 6This diagram illustrates the structural block diagram of a low-power navigation system based on a smart wearable device provided in an embodiment of the present invention. The low-power navigation system 1 based on a smart wearable device includes:

[0110] The segmentation module 11 is used to locate the user's starting point via a smart wearable device, receive the user's input destination, generate a navigation route, draw a planar distribution map of the surrounding area of ​​the navigation route, and divide the navigation route into several segments according to the user's travel order, with intersections as dividing points. The segments include at least a first segment and a second segment.

[0111] The search module 12 is used to find all the shared electric vehicles in the segment and select the target vehicle, wherein the target vehicle includes: the first target vehicle, the second target vehicle, ..., the nth target vehicle, and the distance between two adjacent target vehicles is greater than a threshold.

[0112] The reminder module 13 is used to locate the position of the target vehicle, obtain the Bluetooth device matching permission of the target vehicle, determine whether the first target vehicle is within the first segment, and if it is, trigger the activation of the reminder mechanism pre-built in the first target vehicle, wherein the reminder mechanism includes: light vibration or voice reminder; if it is not, calculate the maximum value of the time required for the user to reach the first target vehicle.

[0113] The acquisition module 14 is used to determine whether the first target vehicle receives the Bluetooth signal from the smart wearable device within the maximum value range. If so, based on the navigation route, it determines the user's turn at the next intersection at the first target vehicle, grants the matching permission, establishes a data channel between the smart wearable device and the first target vehicle, and pushes the turn signal to the smart wearable device through the data channel. If the first target vehicle does not receive the user's Bluetooth signal, it acquires the user's real-time location data, determines whether the user has deviated from the navigation route, and if so, pushes a vibration reminder to the smart wearable device.

[0114] Figure 7 This diagram illustrates the structural block diagram of a low-power navigation system based on a smart wearable device provided in an embodiment of the present invention. The segmentation module 11 includes:

[0115] Update unit 111 is used to obtain the traffic congestion index of the navigation route and update the navigation route;

[0116] The statistics unit 112 is used to count the number of branch roads in each segment, configure the priority of each segment, and adjust the device parameters of the smart wearable device based on the priority, wherein the device parameters include at least: brightness, positioning frequency and dynamic effect.

[0117] The marking unit 113 is used to mark the public facilities on both sides of the segment in the plan distribution map, wherein the public facilities include at least: shops, buildings and green spaces;

[0118] The reprocessing unit 114 is used to merge or re-divide the segments according to the number of the public facilities.

[0119] Figure 8 This diagram illustrates the structural block diagram of a low-power navigation system based on a smart wearable device provided in an embodiment of the present invention. The search module 12 includes:

[0120] The positioning unit 121 is used to locate the Bluetooth beacon devices within the segment, wherein the Bluetooth beacon devices include: shared electric vehicles, smart bus stop signs, smart streetlights, and monitoring equipment equipped with Bluetooth modules;

[0121] The reading unit 122 is used to count the number of shared electric vehicles in the segment. If the number is "0", the shared electric vehicle that passes by first in the next segment is identified as the target vehicle according to the order. Based on a preset frequency, the real-time location of the user is read intermittently in the segment, and the turning signal of the next intersection is pushed to the user. When the number is greater than "1", a cluster of shared electric vehicles is divided, and a shared electric vehicle is randomly selected from the cluster and defined as the target vehicle.

[0122] Figure 9 This diagram illustrates the structural block diagram of a low-power navigation system based on a smart wearable device provided in an embodiment of the present invention. The reminder module 13 includes:

[0123] Trigger unit 131 is used to read the communication range of the Bluetooth device of the first target vehicle, and trigger the start reminder mechanism when the first target vehicle searches for the Bluetooth signal of the smart wearable device;

[0124] Push unit 132 is used to integrate the navigation route and the sequence, find the last target vehicle passing through the segment, establish a data channel between the last target vehicle and the smart wearable device, and push the turn signal of the next intersection to the smart wearable device.

[0125] The backtracking unit 133 is used to backtrack the user's historical movement data and calculate the average movement speed in the historical movement data;

[0126] The acquisition unit 134 is used to select test points from the navigation route, acquire the real-time speed of the test points, and use the real-time speed to correct the average moving speed.

[0127] The calculation unit 135 is used to calculate the maximum required time based on the distance between the starting point and the first target vehicle and the average moving speed.

[0128] Figure 10 This diagram illustrates the structural block diagram of a low-power navigation system based on a smart wearable device provided in an embodiment of the present invention. The acquisition module 14 includes:

[0129] The offset unit 141 is used to set the offset of the maximum value if the first target vehicle does not receive the user's Bluetooth signal and the user has not deviated from the navigation route, obtain the current time, and obtain the user's real-time location data when the current time meets the offset, and then determine again whether the user has deviated from the navigation route.

[0130] The open unit 142 is used to push vibration alerts to the smart wearable device when the user deviates from the navigation route, generate an alternative route, embed the alternative route and vibration alerts into a pre-built display window, and open the selection button.

[0131] The segmentation module 11 is mainly used to complete step S100, the search module 12 is mainly used to complete step S200, the reminder module 13 is mainly used to complete step S300, and the acquisition module 14 is mainly used to complete step S400.

[0132] The update unit 111 is mainly used to complete step S101, the statistics unit 112 is mainly used to complete step S102, the marking unit 113 is mainly used to complete step S103, and the reprocessing unit 114 is mainly used to complete step S104.

[0133] The positioning unit 121 is mainly used to complete step S201, and the reading unit 122 is mainly used to complete step S202.

[0134] The triggering unit 131 is mainly used to complete step S301, the push unit 132 is mainly used to complete step S302, the backtracking unit 133 is mainly used to complete step S303, the acquisition unit 134 is mainly used to complete step S304, and the calculation unit 135 is mainly used to complete step S305.

[0135] The acquisition unit 141 is mainly used to complete step S401, and the opening unit 142 is mainly used to complete step S402.

[0136] The above are merely preferred embodiments of the present invention and do not limit the scope of the patent. Any equivalent structural or procedural transformations made based on the description and drawings of the present invention, or direct or indirect applications in other related technical fields, are similarly included within the scope of patent protection of the present invention.

Claims

1. A low-power navigation method based on a smart wearable device, characterized in that, The method includes: S100: Detects the user's starting point via a smart wearable device and receives the user's input of the destination. Generate a navigation route, draw a planar distribution map of the surrounding area of ​​the navigation route, and divide the navigation route into several segments according to the user's travel order, with intersections as dividing points. The segments include at least a first segment and a second segment. S200: Locate all shared electric vehicles within the segments and select target vehicles, wherein the target vehicles include: first target vehicle, second target vehicle, ..., nth target vehicle, and the distance between two adjacent target vehicles is greater than a threshold. S300: Locate the position of the target vehicle, obtain the Bluetooth device pairing permission of the target vehicle, determine whether the first target vehicle is within the first segment, if it is, trigger the activation of the reminder mechanism pre-built in the first target vehicle, wherein the reminder mechanism includes: light vibration or voice reminder, if it is not, calculate the maximum value of the time required for the user to reach the first target vehicle. S400: Determine whether the first target vehicle receives the Bluetooth signal from the smart wearable device within the maximum value range. If so, based on the navigation route, determine the user's turn at the next intersection at the first target vehicle, grant the matching permission, establish a data channel between the smart wearable device and the first target vehicle, and push the turn to the smart wearable device via the data channel. If the first target vehicle does not receive the user's Bluetooth signal, it obtains the user's real-time location data, determines whether the user has deviated from the navigation route, and if so, pushes a vibration reminder to the smart wearable device.

2. The low-power navigation method based on a smart wearable device according to claim 1, characterized in that, S100 includes: Obtain the traffic congestion index of the navigation route and update the navigation route; The number of branch paths in each segment is counted, the priority of each segment is configured, and the device parameters of the smart wearable device are adjusted based on the priority. The device parameters include at least: brightness, positioning frequency, and dynamic effects.

3. The low-power navigation method based on a smart wearable device according to claim 2, characterized in that, The S100 further includes: In the plan, the public facilities on both sides of the segment are marked, and the public facilities include at least: shops, buildings and green spaces; The segments are merged or further divided based on the number of public facilities.

4. The low-power navigation method based on a smart wearable device according to claim 3, characterized in that, S200 includes: The Bluetooth beacon devices within the segment are located, including: shared electric vehicles, smart bus stop signs, smart streetlights, and monitoring equipment equipped with Bluetooth modules; The number of shared electric vehicles in the segment is counted. If the number is "0", the shared electric vehicle that passes by first in the next segment is identified as the target vehicle according to the order. Based on a preset frequency, the user's real-time location is read intermittently in the segment, and the turning signal of the next intersection is pushed to the user. If the number is greater than "1", a cluster of shared electric vehicles is defined, and a shared electric vehicle is randomly selected from the cluster and defined as the target vehicle.

5. The low-power navigation method based on a smart wearable device according to claim 4, characterized in that, The S300 includes: The communication range of the Bluetooth device of the first target vehicle is read. When the first target vehicle detects the Bluetooth signal of the smart wearable device, the activation reminder mechanism is triggered. By integrating the navigation route and the sequence, the last target vehicle to pass through the segment is identified, a data channel is established between the last target vehicle and the smart wearable device, and the turn signal for the next intersection is pushed to the smart wearable device.

6. The low-power navigation method based on a smart wearable device according to claim 5, characterized in that, The S300 also includes: Retrieve the user's historical movement data and calculate the average movement speed in the historical movement data; Select test points from the navigation route, collect the real-time speed of the test points, and use the real-time speed to correct the average movement speed; Based on the distance between the starting point and the first target vehicle, the maximum required time is calculated using the average moving speed.

7. The low-power navigation method based on a smart wearable device according to claim 6, characterized in that, The S400 includes: If the first target vehicle does not receive the user's Bluetooth signal and the user has not deviated from the navigation route, set the offset of the maximum value, obtain the current time, and when the current time meets the offset, obtain the user's real-time location data and determine again whether the user has deviated from the navigation route. If the user deviates from the navigation route, a vibration alert is pushed to the smart wearable device, and an alternative route is generated. The alternative route and the vibration alert are then embedded into a pre-built display window, and a selection button is enabled.

8. A low-power navigation system based on a smart wearable device, characterized in that, The system includes: The segmentation module is used to locate the user's starting point via a smart wearable device, receive the user's input destination, generate a navigation route, draw a planar distribution map of the surrounding area of ​​the navigation route, and divide the navigation route into several segments according to the user's travel order, using intersections as dividing points. The segments include at least a first segment and a second segment. The search module is used to find all the shared electric vehicles in the segment and select the target vehicle, wherein the target vehicle includes: the first target vehicle, the second target vehicle, ..., the nth target vehicle, and the distance between two adjacent target vehicles is greater than a threshold. The reminder module is used to locate the position of the target vehicle, obtain the Bluetooth device pairing permission of the target vehicle, determine whether the first target vehicle is within the first segment, and if it is, trigger the activation of the reminder mechanism pre-built in the first target vehicle, wherein the reminder mechanism includes: light vibration or voice reminder; if it is not, calculate the maximum value of the time required for the user to reach the first target vehicle. The acquisition module is used to determine whether the first target vehicle receives the Bluetooth signal of the smart wearable device within the maximum value. If so, based on the navigation route, it determines the user's turn at the next intersection at the first target vehicle, grants the matching permission, establishes a data channel between the smart wearable device and the first target vehicle, and pushes the turn to the smart wearable device through the data channel. If the first target vehicle does not receive the user's Bluetooth signal, it obtains the user's real-time location data, determines whether the user has deviated from the navigation route, and if so, pushes a vibration reminder to the smart wearable device.

9. The low-power navigation system based on a smart wearable device according to claim 8, characterized in that, The segmentation module includes: An update unit is used to obtain the traffic congestion index of the navigation route and update the navigation route; A statistics unit is used to count the number of branch roads in each segment, configure the priority of each segment, and adjust the device parameters of the smart wearable device based on the priority, wherein the device parameters include at least: brightness, positioning frequency and dynamic effects. A marking unit is used to mark the public facilities on both sides of the segment in the plan distribution map, wherein the public facilities include at least: shops, buildings and green spaces; The reprocessing unit is used to merge or re-divide the segments according to the number of the public facilities.

10. The low-power navigation system based on a smart wearable device according to claim 9, characterized in that, The search module includes: The positioning unit is used to locate the Bluetooth beacon devices within the segment, wherein the Bluetooth beacon devices include: shared electric vehicles, smart bus stop signs, smart streetlights, and monitoring equipment equipped with Bluetooth modules; The reading unit is used to count the number of shared electric vehicles in the segment. If the number is "0", the shared electric vehicle that passes by first in the next segment is identified as the target vehicle according to the order. Based on a preset frequency, the real-time location of the user is intermittently read in the segment, and the turning signal of the next intersection is pushed to the user. A definition unit is used to divide the shared electric vehicle clusters when the number is greater than "1", and randomly select a shared electric vehicle from the cluster and define it as the target vehicle.

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