Anti-lost real-time position positioning method based on positioner

Abstract

The invention belongs to the technical field of anti-lost position positioning, and relates to an anti-lost real-time position positioning method based on a positioner. According to the method, the working state required by the target locator is dynamically determined, the positioning sampling frequency and the communication state are improved in a high-risk environment, the positioning precision and reliability are guaranteed, resource consumption is reduced in a low-risk environment to prolong the endurance, and the contradiction that the precision and the endurance cannot be considered at the same time in a fixed working mode is solved; on the basis of multi-dimensional comprehensive analysis of each positioning mode, when it is detected that the performance of the current positioning mode is insufficient, a better mode can be automatically and efficiently switched, and the failure problem of a single positioning mode in a specific environment is effectively solved; by dynamically adjusting the working state required by the target positioner, the energy consumption of equipment is optimized to the greatest extent on the premise of ensuring that the safe positioning requirement is met, and the effective working time of the positioner is remarkably prolonged.

Description

Technical Field

[0001] The present invention belongs to the technical field of anti-loss position location, and relates to a real-time anti-lost position location method based on a locator. Background Art

[0002] In the field of monitoring the elderly, children or special populations, the anti-lost technology based on locators is crucial. The existing technologies mainly rely on real-time position tracking and passive alarms for abnormal states. However, such methods have certain deficiencies: (1) The existing technologies lack in-depth learning and prediction of the daily behavior patterns of locator wearers, and cannot identify potential anti-lost risks at the initial stage of deviation from the conventional behavior pattern, resulting in a lag in early warning; (2) In the existing technologies, locators usually work in a fixed or simply switched mode, and fail to dynamically and finely adjust working parameters such as their positioning frequency and communication intensity according to the actual environmental risk level and the device power status, often resulting in insufficient battery life while ensuring positioning accuracy, or missing key position information in the energy-saving mode; (3) In complex environments such as indoors, areas with high-rise buildings, and underground spaces, the availability and accuracy of positioning signals of locators in the existing technologies fluctuate greatly, making it difficult to ensure continuous and reliable positioning capabilities. Summary of the Invention

[0003] In view of this, to solve the problems raised in the above background art, a real-time anti-lost position location method based on a locator is proposed.

[0004] The object of the present invention can be achieved by the following technical solutions: The present invention provides a real-time anti-lost position location method based on a locator, including: S1. Extract the historical path information of the target locator wearer during the historical monitoring period, and construct a set of regular action routes through spatio-temporal correlation analysis, including the ordered location sequence and path vector of each regular action route.

[0005] S2. Dynamically compare the currently collected action route information of the target locator wearer with the set of regular action routes, determine whether the current action route deviates from the regular action route, and obtain the real-time position and its corresponding environmental information and upload them to the cloud when the current action route deviates from the regular action route.

[0006] S3. Analyze the environmental complexity based on the real-time position and its corresponding environmental information, match it with the environmental complexity - anti-lost risk level mapping table to determine the anti-lost risk level, trigger the corresponding required working state of the target locator, and upload the power data and positioning signal data of the target locator to the cloud at the same time.

[0007] S4. Judge the need for replacing the positioning method of the target locator based on the positioning signal data, and dynamically adjust the required working state of the target locator based on the power data.

[0008] Compared with the prior art, the beneficial effects of the present invention are as follows: 1. By extracting and analyzing the historical path information of the target positioning wearer, constructing a set of regular action routes, and dynamically comparing the real-time action route with them, the present invention is conducive to identifying potential missing risks at the initial stage when the wearer deviates from their regular behavior pattern, thereby triggering the upload of real-time location information, significantly improving the timeliness of early warning, and solving the problem of passive response lag in the prior art.

[0009] 2. By analyzing the environmental complexity of the real-time location to match the missing risk level, and dynamically determining the required working state of the target locator accordingly, the present invention improves the positioning sampling frequency and communication state in high-risk environments, ensuring the accuracy and reliability of positioning, and reducing resource consumption to extend the battery life in low-risk environments, solving the contradiction that the fixed working mode cannot balance accuracy and battery life.

[0010] 3. Based on the comprehensive analysis of the number of reference sources and signal strength of each positioning method, when it is detected that the performance of the current positioning method is insufficient, the present invention can automatically and efficiently switch to a better method, effectively overcoming the problem of failure of a single positioning method in a specific environment, and ensuring continuous and stable positioning ability in complex and changeable environments.

[0011] 4. After determining the target working state, the present invention further combines the remaining battery power and current positioning method information of the locator to dynamically adjust the required working state of the target locator, ensuring that the energy consumption of the device is optimized to the greatest extent on the premise of meeting the safety positioning requirements, and significantly improving the effective working duration of the locator. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for describing the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention, and those of ordinary skill in the art can obtain other drawings without creative efforts based on these drawings.

[0013] Figure 1 It is a schematic diagram of the implementation steps of the method of the present invention.

[0014] Figure 2 It is a schematic flow diagram of the path cluster merging rule of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0015] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0016] Please refer to Figure 1 As shown, the present invention provides a real-time location positioning method for preventing getting lost based on a locator, and the specific steps are as follows: S1. Extract the historical path information of the wearer of the target locator during the historical monitoring period, and construct a set of regular action routes through spatio-temporal correlation analysis, including the ordered location sequence and path vector of each regular action route.

[0017] As a preferred feasible embodiment, the specific process of constructing the set of regular action routes includes: extracting the corresponding access locations and their associated time periods of the wearer of the target locator on each date during the historical monitoring period from the historical path information, and then merging the paths according to the path cluster merging rule to obtain the ordered location sequence and path vector of each action route of the wearer of the target locator on each date during the historical monitoring period. Further, screen out the ordered location sequences and path vectors of each action route with the number of occurrence dates greater than the preset number of dates, and record them as the ordered location sequences and path vectors of each regular action route, that is, the set of regular action routes.

[0018] It should be further noted that the historical path information is the corresponding access locations and their associated time periods of the wearer of the target locator on each date during the historical monitoring period stored in the cloud, where the historical monitoring period is the historical period bounded by the current time point.

[0019] A specific example is that the ordered location sequence of a certain regular action route can be home → vegetable market → kindergarten; the path vector of this regular action route can be the distance of 650m and the direction of NE35° from home to the vegetable market, and the distance of 5030m and the direction of NE68° from the vegetable market to kindergarten.

[0020] As a preferred feasible embodiment, as Figure 2As shown in the figure, the specific content of the path cluster merging rule includes: comparing the distances between each visited location corresponding to each date of the target locator wearer in the historical monitoring period and other visited locations with a preset distance threshold respectively. If the distance between a certain visited location corresponding to a certain date of the target locator wearer in the historical monitoring period and another visited location is less than the preset distance threshold, then the visited location corresponding to this date of the target locator wearer and the other visited location are recorded as a similar path cluster (that is, it is considered that the visited location corresponding to this date and the other visited location belong to a similar area in space (such as different stores in the same shopping mall)), and comparing the interval duration between the associated time periods of the visited location corresponding to this date of the target locator wearer in the historical monitoring period and the other visited location with a preset interval duration. If the interval duration between the associated time periods is less than the preset interval duration, then the visited location corresponding to this date of the target locator wearer and the other visited location are recorded as the same path cluster, thereby generating a path cluster.

[0021] Specifically, if the target locator wearer continuously visits the visited location corresponding to this date and the other visited location within a short period of time in the historical monitoring period, they are merged into "the same path cluster", otherwise they are split into independent clusters (for example, visiting the supermarket in the morning and the park in the afternoon are regarded as two clusters).

[0022] S2. Dynamically compare the currently collected movement route information of the target locator wearer with the set of regular movement routes to determine whether the current movement route deviates from the regular movement route. When it deviates from the regular movement route, obtain the real-time position and its corresponding environmental information and upload them to the cloud.

[0023] In a specific example, the currently collected movement route information includes an ordered location sequence and a path vector of the current movement route.

[0024] The environmental information includes the signal strength and the structural complexity of the real-time position.

[0025] It should be further noted that the signal strength is obtained by collecting the strength of the corresponding signal source through various positioning modules built in the locator (such as satellite positioning, Wi-Fi positioning, Bluetooth positioning, base station positioning, etc.). For example, the signal strength of satellite positioning is in dB-Hz (such as 25 dB-Hz), and the Wi-Fi positioning is in dBm (such as -75 dBm). These data will be uploaded to the cloud in real time for subsequent analysis.

[0026] The acquisition of the structural complexity: It is determined by the physical layout and spatial characteristics of the environment where the target locator wearer is located.

[0027] Specifically, sensors such as gyroscopes and accelerometers are used to obtain physical layout information of the wearer of the target locator at the real-time position, such as the movement trajectory, turning frequency, and speed change. At the same time, the real-time position obtained by the locator (such as longitude and latitude) is matched with the environmental data in the electronic map (such as building floor plans, road layouts, and regional function divisions), so as to score the structural complexity of the real-time position according to the movement trajectory, turning frequency, and speed change of the wearer of the target locator at the real-time position and the environmental complexity of the real-time position and the electronic map, which are respectively recorded as , according to the calculation formula to obtain the structural complexity of the real-time position , where is the total score of the score.

[0028] In a specific example, in a structurally complex underground parking lot, the movement trajectory, turning frequency, and speed change of the wearer of the target locator, and the structural complexity score of the structurally complex underground parking lot and the environmental complexity in the electronic map are 6 points, 7 points, 5 points, and 4 points respectively, and the total score of the score is 10 points. Therefore, the structural complexity of the structurally complex underground parking lot is 0.55.

[0029] As a preferred feasible embodiment, the specific process of determining whether the current action route deviates from the normal action route includes: extracting the ordered location sequence and path vector of the current action route of the wearer of the target locator from the current action route information, and comparing it with the set of normal action routes. If the ordered location sequence and path vector of the current action route of the wearer of the target locator completely coincide with the ordered location sequence and path vector of a certain normal action route in the set of normal action routes, it means that the current action route does not deviate from the normal action route. If there is any non-coincidence between the ordered location sequence and path vector of the current action route of the wearer of the target locator and the ordered location sequence and path vector of any normal action route in the set of normal action routes, it means that the current action route deviates from the normal action route.

[0030] The present invention constructs a set of normal action routes by extracting and analyzing the historical path information of the target locator wearer, and dynamically compares the real-time action route with it, which is beneficial to identifying potential missing risks at the initial stage when the wearer deviates from their normal behavior pattern, thereby triggering the upload of real-time position information, significantly improving the timeliness of early warning, and solving the problem of passive response lag in the prior art.

[0031] S3. Analyze the environmental complexity based on the real-time position and its corresponding environmental information, match it with the environmental complexity - missing risk level mapping table to determine the missing risk level, trigger the corresponding required working state of the target locator, and upload the battery data and positioning signal data of the target locator to the cloud at the same time.

[0032] A specific example, where the power data includes the remaining power.

[0033] It should be further noted that the remaining power can be directly obtained by looking up the battery information in the target locator list or the "Real-time Status" page.

[0034] The positioning signal data includes the number of reference sources and signal strength of each positioning method. Among them, each positioning method includes satellite positioning, Wi-Fi positioning, Bluetooth positioning, base station positioning, and inertial navigation.

[0035] It should be further noted that the specific method for obtaining the number of reference sources for satellite positioning is as follows: The target locator receives the navigation signal sent by the satellite, and the number of recognizable satellites is calculated through the baseband chip and recorded as the number of reference sources for satellite positioning.

[0036] The specific method for obtaining the number of reference sources for Wi-Fi positioning is as follows: The target locator scans the surrounding Wi-Fi hotspots, extracts and counts the MAC addresses, and the counting result is recorded as the number of reference sources for Wi-Fi positioning.

[0037] The specific method for obtaining the number of reference sources for Bluetooth positioning is as follows: The target locator scans the Bluetooth Beacon device, parses and counts the device IDs in the broadcast data packet, and the counting result is recorded as the number of reference sources for Bluetooth positioning.

[0038] The specific method for obtaining the number of reference sources for base station positioning is as follows: The target locator connects to the mobile communication base station through the communication module, obtains and counts the Cell ID, and the counting result is recorded as the number of reference sources for base station positioning.

[0039] Inertial navigation does not rely on external signal sources, and the number of reference sources is 0 (pure internal sensor positioning).

[0040] The signal strengths of satellite positioning, Wi-Fi positioning, Bluetooth positioning, base station positioning, and inertial navigation are obtained by collecting the strengths of the corresponding signal sources through various positioning modules (such as satellite positioning, Wi-Fi positioning, Bluetooth positioning, base station positioning, etc.) built into the locator.

[0041] As a preferred feasible embodiment, the specific analysis process of the environmental complexity includes: extracting the signal strength and structural complexity of the real-time position from the environmental information, normalizing them to obtain the relative index of the signal strength and the relative index of the structural complexity of the real-time position, and further summing them according to the corresponding preset weights to obtain the environmental complexity of the real-time position.

[0042] It should be further noted that the specific normalization process of the signal strength and structural complexity of the real-time position is as follows: According to the signal strength normalization formula Relative index of signal strength for obtaining real-time position , where are the maximum signal strength and the minimum signal strength respectively. According to the structural complexity normalization processing formula obtain the relative index of structural complexity for the real-time position , where are the maximum structural complexity and the minimum structural complexity respectively.

[0043] In a specific example, the preset weights corresponding to the relative index of signal strength and the relative index of structural complexity can be 0.6 and 0.4 respectively.

[0044] The stability of the positioning signal directly determines whether the locator can transmit the position in real time (for example, accurate positioning cannot be achieved when the satellite signal is poor), which is the primary inducement of the risk of getting lost. Therefore, the preset weight corresponding to the relative index of signal strength can be 0.6.

[0045] A complex environment structure (such as multi-layer corridors in a shopping mall) will increase the difficulty of finding a path, but the premise is that the positioning signal is available. When the signal is good, the influence of the structural complexity is relatively reduced (for example, the risk of getting lost can be alleviated through map navigation). Therefore, the preset weight corresponding to the relative index of structural complexity can be 0.4.

[0046] It should be noted that in actual applications, the weight allocation needs to be dynamically optimized in accordance with the influence degree of the actual environment on the risk of getting lost. For example, in mountainous areas with poor signal coverage, the signal strength weight can be increased to 0.7 and the structural complexity is 0.3; in exhibition halls with good signals but complex layouts, the structural complexity weight can be adjusted to 0.5 and the signal strength is 0.5.

[0047] As a preferred feasible embodiment, the risk levels of getting lost include low risk level, medium risk level and high risk level.

[0048] The specific determination process of the risk level of getting lost includes: matching the environmental complexity of the real-time position with the environmental complexity - risk level of getting lost mapping table, screening the risk level of getting lost corresponding to the environmental complexity that is consistent with the environmental complexity in the environmental complexity - risk level of getting lost mapping table of the real-time position, and recording it as the risk level of getting lost of the real-time position.

[0049] In a specific example, the mapping example of the environmental complexity and the environmental complexity - risk level of getting lost is shown in Table 1 below.

[0050] Table 1 Example of the mapping between environmental complexity and environmental complexity - risk level of getting lost

[0051] Environmental complexity interval Risk level of getting lost 0-0.3 Low risk level 0.3-0.7 Medium risk level 0.7-1.0 High risk level

[0052] As a preferred feasible embodiment, the working state of the target locator includes the positioning sampling frequency and the working parameters of the communication module, where the working parameters of the communication module include the transmission frequency, communication protocol, and sleep cycle.

[0053] The specific process of triggering the required working state of the target locator corresponding to it includes: inputting the risk level of getting lost at the real-time position into the working state rule model of the target locator, and outputting the rules of the working state of the target locator, including Rule 1, Rule 2, and Rule 3.

[0054] The positioning sampling frequency of Rule 1 < the positioning sampling frequency of Rule 2, and the positioning sampling frequency of Rule 2 < the positioning sampling frequency of Rule 3.

[0055] The transmission frequency in the working parameters of the communication module of Rule 1 < the transmission frequency in the working parameters of the communication module of Rule 2, and the transmission frequency in the working parameters of the communication module of Rule 2 < the transmission frequency in the working parameters of the communication module of Rule 3.

[0056] The communication protocol in the working parameters of the communication module of Rule 1 < the communication protocol in the working parameters of the communication module of Rule 2, and the communication protocol in the working parameters of the communication module of Rule 2 < the communication protocol in the working parameters of the communication module of Rule 3.

[0057] The sleep cycle in the working parameters of the communication module of Rule 1 < the sleep cycle in the working parameters of the communication module of Rule 2, and the sleep cycle in the working parameters of the communication module of Rule 2 < the sleep cycle in the working parameters of the communication module of Rule 3.

[0058] It should be further noted that if the risk level of getting lost at the real-time position is a low risk level (i.e., slightly deviating from the expected path or entering a familiar environment with poor positioning signals (such as at home)), then Rule 3 of the working state of the target locator is output, that is, the positioning sampling frequency can be 1 time per 30 seconds - 1 time per minute, the transmission frequency in the working parameters of the communication module can be 1 time per minute, the communication protocol can be NB-IoT / LoRa, and the sleep cycle can be 59 seconds.

[0059] If the risk level of getting lost at the real-time position is a medium risk level (i.e., significantly deviating from the expected path or entering an area with poor positioning signals and unfamiliar (such as a large shopping mall)), then Rule 2 of the working state of the target locator is output, that is, the positioning sampling frequency can be 1 time per 5 seconds - 1 time per 10 seconds, the transmission frequency in the working parameters of the communication module can be 1 time per 30 seconds, the communication protocol can be 4G LTE-M, and the sleep cycle can be 29 seconds.

[0060] If the risk level of getting lost at the real-time position is a high-risk level (i.e., serious deviation, staying stationary in a dangerous area for a long time, active alarm trigger, etc.), then Rule 1 for the working state of the target locator is output, that is, the positioning sampling frequency can be 1 time per 1 second - 1 time per 5 seconds, the transmission frequency in the working parameters of the communication module can be 1 time per 1 second, the communication protocol can be 5G / 4G LTE, and the sleep cycle can be 0 seconds, that is, continuous monitoring.

[0061] The present invention analyzes the environmental complexity of the real-time position to match the risk level of getting lost, and dynamically determines the required working state of the target locator accordingly. It improves the positioning sampling frequency and communication status in a high-risk environment, ensuring the accuracy and reliability of positioning, and reduces resource consumption in a low-risk environment to extend the battery life, solving the contradiction that a fixed working mode cannot balance accuracy and battery life.

[0062] S4. Judge the need to replace the positioning method of the target locator based on the positioning signal data, and dynamically adjust the required working state of the target locator based on the power data.

[0063] As a preferred feasible embodiment, the specific process of judging the need to replace the positioning method of the target locator based on the positioning signal data includes: extracting the number of reference sources and signal strength of satellite positioning, Wi-Fi positioning, Bluetooth positioning, base station positioning, and inertial navigation of the target locator from the positioning signal data, and determining the best positioning method of the target locator according to the positioning method confirmation logic. If it is the same as the current positioning method of the target locator, record the need to replace the positioning method of the target locator as no need to replace. Otherwise, record the need to replace the positioning method of the target locator as needing to replace, and replace the current positioning method of the target locator with the best positioning method.

[0064] As a preferred feasible embodiment, the specific content of the positioning method confirmation logic includes: if the number of reference sources of satellite positioning of the target locator is greater than or equal to the preset satellite positioning reference source number threshold (for example, the threshold is 4) and the signal strength is greater than or equal to the pre-reviewed satellite positioning signal strength threshold (for example, the threshold is 25 dB-Hz), then use satellite positioning as the best positioning method of the target locator.

[0065] Otherwise, if the number of reference sources of Wi-Fi positioning is greater than or equal to the preset Wi-Fi positioning reference source number threshold (for example, the threshold is 3) and the signal strength is greater than or equal to the Wi-Fi positioning signal strength threshold (for example, the threshold is -75 dBm), then use Wi-Fi positioning as the best positioning method of the target locator.

[0066] Otherwise, if the number of reference sources for Bluetooth positioning is greater than or equal to the preset Bluetooth positioning reference source number threshold (for example, the threshold is 4) and the signal strength is greater than or equal to the Bluetooth positioning signal strength threshold (for example, the threshold is -65 dBm), then Bluetooth positioning is taken as the optimal positioning method for the target locator.

[0067] Otherwise, if the number of reference sources for base station positioning is greater than or equal to the preset base station positioning reference source number threshold (for example, the threshold is 3) and the signal strength is greater than or equal to the base station positioning signal strength threshold (for example, the threshold is -105 dBm), then base station positioning is taken as the optimal positioning method for the target locator.

[0068] Otherwise, inertial navigation is taken as the optimal positioning method for the target locator.

[0069] It should be noted that satellite positioning usually has a higher accuracy, especially in outdoor open areas, while Wi-Fi positioning and Bluetooth positioning are more used indoors, but the coverage range of Wi-Fi positioning is larger than that of Bluetooth positioning; in addition, base station positioning has a wide coverage range but low accuracy, and inertial navigation completely relies on internal sensors with the lowest accuracy, so it is used as the last alternative. Therefore, in the present invention, satellite positioning is prior to Wi-Fi positioning, Wi-Fi positioning is prior to Bluetooth positioning, Bluetooth positioning is prior to base station positioning, and base station positioning is prior to inertial navigation.

[0070] Based on the comprehensive analysis of the number of reference sources and signal strength of each positioning method, when it is detected that the performance of the current positioning method is insufficient, the present invention can automatically and efficiently switch to a better method, effectively overcoming the failure problem of a single positioning method in a specific environment, and ensuring continuous and stable positioning ability in a complex and changeable environment.

[0071] As a preferred feasible embodiment, the specific process of dynamically adjusting the working state of the required target locator based on the power data includes: extracting the remaining power of the target locator from the power data , extracting the power consumption per unit time of the target locator under its current positioning method condition from the cloud , according to the calculation formula obtaining the available remaining duration of the target locator under its current positioning method condition , if it is greater than the set safety remaining duration threshold, there is no need to adjust the working state of the required target locator, otherwise, the working state of the required target locator is dynamically adjusted.

[0072] It should be further noted that the dynamic adjustment of the required working state of the target locator specifically includes: (1) Adjustment of the positioning sampling frequency: If the positioning sampling frequency is 1 time per 1 second - 1 time per 5 seconds, it is adjusted to 1 time per 5 seconds - 1 time per 10 seconds; if the positioning sampling frequency is 1 time per 5 seconds - 1 time per 10 seconds, it is adjusted to 1 time per 30 seconds - 1 time per minute.

[0073] (2) Adjustment of the transmission frequency in the working parameters of the communication module: If the transmission frequency in the working parameters of the communication module is 1 time per 1 second, it is adjusted to 1 time per 30 seconds; if the transmission frequency in the working parameters of the communication module is 1 time per 30 seconds, it is adjusted to 1 time per minute.

[0074] (3) Adjustment of the communication protocol in the working parameters of the communication module: If the communication protocol in the working parameters of the communication module is 5G / 4G LTE, it is adjusted to 4G LTE-M; if the communication protocol in the working parameters of the communication module is 4G LTE-M, it is adjusted to NB-IoT / LoRa.

[0075] (4) Adjustment of the sleep cycle in the working parameters of the communication module: If the sleep cycle in the working parameters of the communication module is 0 seconds, i.e., continuous monitoring, it is adjusted to 29 seconds; if the sleep cycle in the working parameters of the communication module is 29 seconds, it is adjusted to 59 seconds.

[0076] It should be noted that when the remaining available duration of the target locator under its current positioning method is less than or equal to the set safety remaining duration threshold, the positioning method can be intelligently switched, specifically including: If the current positioning method is the satellite positioning method and the power consumption is high, further detect whether the Wi-Fi positioning method meets the positioning requirements of the current missing risk level. If it meets, it is automatically switched to the Wi-Fi positioning method. Similarly, the positioning method is intelligently switched.

[0077] After determining the target working state, the present invention further combines the remaining power of the locator and the current positioning method information to dynamically adjust the required working state of the target locator, ensuring that under the premise of meeting the safety positioning requirements, the energy consumption of the device is optimized to the greatest extent, and the effective working duration of the locator is significantly improved.

[0078] The above content is only an example and explanation of the concept of the present invention. Those skilled in the art of the present technology make various modifications or supplements to the described specific embodiments or use similar methods to replace them, as long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they should all belong to the protection scope of the present invention.

Claims

1. A locator-based real-time location positioning method for preventing getting lost, characterized in that: Including: S1. Extract the historical path information of the target locator wearer during the historical monitoring period. Through spatio-temporal correlation analysis, construct a set of regular action routes, including the ordered location sequence and path vector of each regular action route; S2. Dynamically compare the currently collected action route information of the target locator wearer with the set of regular action routes to determine whether the current action route deviates from the regular action route. When deviating from the regular action route, obtain the real-time position and its corresponding environmental information and upload them to the cloud; S3. Analyze the environmental complexity based on the real-time position and its corresponding environmental information, match it with the environmental complexity - getting lost risk level mapping table to determine the getting lost risk level, and trigger the corresponding required working state of the target locator. At the same time, upload the battery data and positioning signal data of the target locator to the cloud; S4. Judge the need to replace the positioning method of the target locator based on the positioning signal data, and dynamically adjust the required working state of the target locator based on the battery data.

2. The real-time position location method for anti-lost based on a locator according to claim 1, wherein: The specific process of constructing the set of regular action routes includes: Extract the corresponding access locations and their associated time periods of each date of the target locator wearer during the historical monitoring period from the historical path information, and then merge the paths according to the path cluster merging rules to obtain the ordered location sequence and path vector of each action route of the target locator wearer on each date during the historical monitoring period. Further, screen out the ordered location sequence and path vector of each action route with the number of occurrence dates greater than the preset number of dates, and record them as the ordered location sequence and path vector of each regular action route, that is, the set of regular action routes.

3. A real-time location positioning method for anti-lost based on a locator according to claim 2, characterized in that: The specific content of the path cluster merging rules includes: Compare the distances between each access location corresponding to each date of the target locator wearer during the historical monitoring period and other access locations with the preset distance threshold respectively. If the distance between a certain access location corresponding to a certain date of the target locator wearer during the historical monitoring period and another access location is less than the preset distance threshold, then record the access location corresponding to this date of the target locator wearer during the historical monitoring period and the other access location as a similar path cluster, and compare the interval duration between the associated time periods of the access location corresponding to this date of the target locator wearer during the historical monitoring period and the other access location with the preset interval duration. If the interval duration between the associated time periods is less than the preset interval duration, then record the access location corresponding to this date of the target locator wearer during the historical monitoring period and the other access location as the same path cluster, and generate a path cluster in this way.

4. A real-time position positioning method for anti-lost based on a locator according to claim 1, characterized in that: The specific process of determining whether the current action route deviates from the regular action route includes: Extract the ordered location sequence and path vector of the current movement route of the target locator wearer from the current movement route information, and compare it with the set of regular movement routes. If the ordered location sequence and path vector of the current movement route of the target locator wearer completely coincide with those of a certain regular movement route in the set of regular movement routes, it indicates that the current movement route has not deviated from the regular movement route. If there is any non - coincidence between the ordered location sequence and path vector of the current movement route of the target locator wearer and those of any regular movement route in the set of regular movement routes, it indicates that the current movement route has deviated from the regular movement route.

5. A real-time location positioning method for anti-lost based on a locator according to claim 1, characterized in that: The specific analysis process of the environmental complexity includes: Extract the signal strength and structural complexity of the real - time location from the environmental information, normalize them to obtain the relative index of signal strength and the relative index of structural complexity of the real - time location, and further sum them according to the corresponding preset weights to obtain the environmental complexity of the real - time location.

6. A real-time location positioning method for preventing getting lost based on a locator according to claim 1, characterized in that: The lost risk levels include low risk level, medium risk level, and high risk level; The specific determination process of the lost risk level includes: match the environmental complexity of the real - time location with the environmental complexity - lost risk level mapping table, and screen out the lost risk level corresponding to the environmental complexity that is consistent with the environmental complexity of the real - time location in the environmental complexity - lost risk level mapping table, and record it as the lost risk level of the real - time location.

7. A real-time position location method for anti-lost based on a locator according to claim 6, characterized in that: The working state of the target locator includes the positioning sampling frequency and the working parameters of the communication module, where the working parameters of the communication module include transmission frequency, communication protocol, and sleep cycle; The specific process of triggering the required working state of the corresponding target locator includes: input the lost risk level of the real - time location into the target locator working state rule model, and output the rules of the target locator working state, including Rule 1, Rule 2, and Rule 3; The positioning sampling frequency of Rule 1 < the positioning sampling frequency of Rule 2, and the positioning sampling frequency of Rule 2 < the positioning sampling frequency of Rule 3; The transmission frequency in the working parameters of the communication module of Rule 1 < the transmission frequency in the working parameters of the communication module of Rule 2, and the transmission frequency in the working parameters of the communication module of Rule 2 < the transmission frequency in the working parameters of the communication module of Rule 3; The communication protocol in the working parameters of the communication module of Rule 1 < the communication protocol in the working parameters of the communication module of Rule 2, and the communication protocol in the working parameters of the communication module of Rule 2 < the communication protocol in the working parameters of the communication module of Rule 3; The sleep cycle in the working parameters of the communication module of Rule 1 < the sleep cycle in the working parameters of the communication module of Rule 2, and the sleep cycle in the working parameters of the communication module of Rule 2 < the sleep cycle in the working parameters of the communication module of Rule 3.

8. A real-time position positioning method for preventing getting lost based on a locator according to claim 1, characterized in that: The positioning methods include satellite positioning, Wi - Fi positioning, Bluetooth positioning, base station positioning, and inertial navigation; The specific process of determining the positioning method replacement requirement of the target locator based on the positioning signal data includes: extracting the number of reference sources and signal strength of satellite positioning, Wi-Fi positioning, Bluetooth positioning, base station positioning, and inertial navigation of the target locator from the positioning signal data, and determining the best positioning method of the target locator according to the positioning method confirmation logic. If it is the same as the current positioning method of the target locator, the positioning method replacement requirement of the target locator is recorded as no replacement requirement. Otherwise, the positioning method replacement requirement of the target locator is recorded as a need for replacement, and the current positioning method of the target locator is changed to the best positioning method.

9. A real-time location positioning method for preventing getting lost based on a locator according to claim 8, characterized in that: The specific content of the positioning method confirmation logic includes: If the number of reference sources of satellite positioning of the target locator is greater than or equal to the preset satellite positioning reference source number threshold and the signal strength is greater than or equal to the pre-trial satellite positioning signal strength threshold, satellite positioning is used as the best positioning method of the target locator; Otherwise, if the number of reference sources of Wi-Fi positioning is greater than or equal to the preset Wi-Fi positioning reference source number threshold and the signal strength is greater than or equal to the Wi-Fi positioning signal strength threshold, Wi-Fi positioning is used as the best positioning method of the target locator; Otherwise, if the number of reference sources of Bluetooth positioning is greater than or equal to the preset Bluetooth positioning reference source number threshold and the signal strength is greater than or equal to the Bluetooth positioning signal strength threshold, Bluetooth positioning is used as the best positioning method of the target locator; Otherwise, if the number of reference sources of base station positioning is greater than or equal to the preset base station positioning reference source number threshold and the signal strength is greater than or equal to the base station positioning signal strength threshold, base station positioning is used as the best positioning method of the target locator; Otherwise, inertial navigation is used as the best positioning method of the target locator.

10. A real-time location positioning method for preventing getting lost based on a locator according to claim 1, characterized in that: The specific process of dynamically adjusting the working state of the required target locator based on the power data includes: Extract the remaining power of the target locator from the power data , extract the power consumption per unit time of the target locator under its current positioning method from the cloud , according to the calculation formula obtain the remaining available duration of the target locator under its current positioning method , if it is greater than the set safety remaining duration threshold, there is no need to adjust the working state of the required target locator; otherwise, dynamically adjust the working state of the required target locator.

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