A solar-powered GPS positioning alarm bracelet

Abstract

The present invention belongs to the field of smart bracelets and relates to GPS positioning technology, which is used to solve the problem that the prior art cannot combine position information, environmental information and spatial position information for comprehensive risk assessment. Specifically, the present invention is a solar-chargeable GPS positioning alarm bracelet, comprising a processor, which is communicatively connected to a GPS locator, a risk assessment module, an adaptation analysis module, a static monitoring module, a search and rescue warning module, a voice alarm module and a storage module; the GPS locator is used to locate the bracelet and obtain position information, and send the position information to a server and a static monitoring module through the processor; the present invention can retrieve corresponding risk parameters through a server according to the position information and feed them back to the risk assessment module, and then analyze the risk parameters through the risk assessment module to obtain a risk assessment coefficient, and feed back the risk status of the user's location according to the risk assessment coefficient, and give an alarm in time when the risk status is abnormal.

Description

Technical Field

[0001] The invention belongs to the field of smart bracelets and relates to GPS positioning technology, in particular to a solar-chargeable GPS positioning alarm bracelet. Background Art

[0002] The GPS positioning alarm bracelet is a smart bracelet that integrates satellite positioning system functions. It is mainly used to track and monitor the wearer's location in real time and trigger an alarm under specific circumstances. Through a high-precision GPS module, it tracks the wearer's location in real time to ensure the accuracy of positioning.

[0003] The invention patent with announcement number CN110221316B discloses a mobile wristband positioning method based on GPS precise single-point positioning. The invention provides a mobile wristband positioning method based on GPS precise single-point positioning that can improve the ambiguity fixation performance and ensure the fixation success rate; however, the invention cannot combine location information, environmental information and spatial location information for comprehensive risk assessment, resulting in the inability of the smart wristband to timely monitor risk hazards and issue alarms when used outdoors, and the safety of the person wearing the wristband cannot be guaranteed.

[0004] In view of the above technical problems, this application proposes a solution. Summary of the invention

[0005] The purpose of the present invention is to provide a solar-powered rechargeable GPS positioning alarm bracelet, which is used to solve the problem that the prior art cannot combine location information, environmental information and spatial location information for comprehensive risk assessment;

[0006] The technical problem to be solved by the present invention is: how to provide a solar-powered, GPS-based, and alarm-based wristband that can combine location information, environmental information, and spatial location information to conduct a comprehensive risk assessment.

[0007] The purpose of the present invention can be achieved through the following technical solutions:

[0008] A solar-powered GPS positioning alarm bracelet comprises a processor, wherein the processor is communicatively connected to a GPS locator, a risk assessment module, an adaptation analysis module, a static monitoring module, a search and rescue warning module, a voice alarm module and a storage module;

[0009] The GPS locator is used to locate the wristband and obtain location information, send the location information to the server and the static monitoring module through the processor, retrieve the risk parameters of the location information through the server, and send the risk parameters of the location information to the risk assessment module through the processor;

[0010] The risk assessment module is used to perform risk assessment analysis on the location information obtained by the bracelet and obtain a risk assessment coefficient FP, and to determine whether the risk status of the location information meets the requirements through the risk assessment coefficient;

[0011] The adaptation analysis module is used to analyze the user's environmental adaptability: generate an analysis cycle and divide the analysis cycle into several analysis periods, obtain the user's environmental adaptability coefficient SY at the end of the analysis period, and determine whether the user's environmental adaptability status in the analysis period meets the requirements through the environmental adaptability coefficient SY;

[0012] The static monitoring module is used to perform static monitoring and analysis on the location information of the wristband;

[0013] The search and rescue warning module is used to perform search and rescue warning analysis on users.

[0014] Furthermore, the process of obtaining the risk assessment coefficient FP includes: the risk parameters include natural risk data ZF, historical accident data LS and environmental risk data HF, and the process of obtaining the natural risk data ZF includes: drawing a circle with the position corresponding to the position information as the center and R1 as the radius, marking the obtained circular area as the assessment area, and marking the number of natural disasters occurring in the assessment area within the last L1 months as the natural risk data ZF. Natural disasters include landslides, mudslides, avalanches, earthquakes, etc.; the historical accident data LS is the number of personal injury incidents occurring in the assessment area within the last L1 months; the environmental risk data HF is the rainfall in the assessment area within the last L2h; and numerical calculations are performed on the natural risk data ZF, the historical accident data LS and the environmental risk data HF to obtain the risk assessment coefficient FP.

[0015] Furthermore, the specific process of determining whether the risk status of the location information meets the requirements includes: obtaining the risk assessment threshold FPmax through the storage module, and comparing the risk assessment coefficient FP with the risk assessment threshold FPmax: if the risk assessment coefficient FP is less than the risk assessment threshold FPmax, then it is determined that the risk status of the assessment area meets the requirements; if the risk assessment coefficient FP is greater than or equal to the risk assessment threshold FPmax, then it is determined that the risk status of the assessment area does not meet the requirements, a risk warning signal is generated and the risk warning signal is sent to the voice alarm module through the processor, and when the voice alarm module receives the risk warning signal, it broadcasts the risk warning prompt voice entered in advance.

[0016] Furthermore, the process of obtaining the environmental adaptation coefficient SY includes: obtaining the environmental analysis data HJi and the user's vital sign data YTw in real time during the analysis period, i=1, 2, ..., n, n is a positive integer, w=1, 2, ..., m, m is a positive integer; calling the environmental parameter range HWi corresponding to the environmental analysis parameter HJi of human activities, marking the average value of the maximum value and the minimum value of the environmental parameter range HWi as the environmental standard value HBi of the environmental analysis data HJi, and marking the absolute value of the difference between the environmental analysis data HJi and the environmental standard value HBi as the environmental standard value HBi of the environmental analysis data HJi. The maximum value within the segment is marked as the environmental deviation data HPi; the vital sign parameter range TWw corresponding to the vital sign data YTw of human activities is retrieved, and the average value of the maximum and minimum values ​​of the vital sign parameter range TWw is marked as the vital sign standard value TBw of the user vital sign data YTw; the maximum value of the absolute value of the difference between the user vital sign data YTw and the vital sign standard value TBw within the analysis period is marked as the vital sign deviation data TPw; at the end of the analysis period, the environmental deviation data HPi and the vital sign deviation data TPw are numerically calculated to obtain the environmental adaptation coefficient SY.

[0017] Furthermore, the specific process of determining whether the user's environmental adaptation status during the analysis period meets the requirements includes: obtaining the environmental adaptation threshold SYmax through the storage module, and comparing the environmental adaptation coefficient HY with the environmental adaptation threshold SYmax: if the environmental adaptation coefficient SY is less than the environmental adaptation threshold SYmax, then it is determined that the user's environmental adaptation status during the analysis period meets the requirements; if the environmental adaptation coefficient SY is greater than or equal to the environmental adaptation threshold SYmax, then it is determined that the user's environmental adaptation status during the analysis period does not meet the requirements, an adaptation warning signal is generated and sent to the voice alarm module and the search and rescue warning module, and the voice alarm module broadcasts the adaptation warning prompt voice recorded in advance after receiving the adaptation warning signal.

[0018] Furthermore, the specific process of the static monitoring module performing static monitoring and analysis on the location information of the bracelet includes: timing through a timer after receiving the location information, the timer is reset to zero and restarted when the location information is updated, and when the timing value of the timer reaches L3h, a static warning signal is generated and the static warning signal is sent to the voice alarm module and the search and rescue warning module through the processor. After receiving the static warning signal, the voice alarm module broadcasts the static warning prompt voice recorded in advance.

[0019] Furthermore, the specific process of the search and rescue warning module performing search and rescue warning analysis on the user includes: when a static warning signal and an adaptive warning signal are received at the same time, a search and rescue warning signal is generated and the search and rescue warning signal and location information are sent to the server through a processor.

[0020] The present invention has the following beneficial effects:

[0021] 1. Use the GPS locator to locate the bracelet and obtain the location information. According to the location information, the corresponding risk parameters can be retrieved through the server and fed back to the risk assessment module. Then, the risk assessment module analyzes the risk parameters to obtain the risk assessment coefficient. According to the risk assessment coefficient, the risk status of the user's location is fed back. When the risk status is abnormal, an alarm is issued in time, and the user is reminded by voice to prevent the user from entering the dangerous area;

[0022] 2. The adaptation analysis module can analyze the user's environmental adaptability, and comprehensively analyze the multiple environmental parameters of the user's location and the user's own physical parameters to obtain the environmental adaptability coefficient. The user's environmental adaptability status is evaluated based on the environmental adaptability coefficient, and an alarm is issued in time when the environmental adaptability status is abnormal, reminding the user to leave the current location as soon as possible;

[0023] 3. The static monitoring module can be used to perform static monitoring and analysis on the location information of the wristband, monitor the location of the wristband in real time, and issue static warning prompts when the location of the wristband has not been updated for a long time. At the same time, the search and rescue warning module can be combined to analyze the necessity of search and rescue alarms, and actively generate search and rescue warning signals when necessary, to further ensure the safety of users' outdoor adventures. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0025] Figure 1 This is a schematic diagram of the overall structure of Embodiment 1 of the present invention;

[0026] Figure 2 An exploded view of the flip-type display panel structure of the first embodiment of the present invention;

[0027] Figure 3 is a system block diagram of Embodiment 1 of the present invention;

[0028] Figure 4 This is a flow chart of the method of Embodiment 2 of the present invention.

[0029] Description of the drawings: 1. Flip-top display panel; 2. Display panel; 3. Photovoltaic panel. DETAILED DESCRIPTION

[0030] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0031] Embodiment 1: Figure 1-3 As shown, a solar-powered rechargeable GPS positioning alarm bracelet comprises a watch strap and a flip-type display disk 1, a display panel 2 is embedded in the top of the flip-type display disk 1, a photovoltaic panel 3 is arranged at the bottom of the flip-type display disk 1, two ends of the flip-type display disk 1 are fixedly connected to two ends of the watch strap, a processor is also arranged inside the flip-type display disk 1, and the processor is communicatively connected with a battery life monitoring module, a GPS locator, a risk assessment module, an adaptation analysis module, a static monitoring module, a search and rescue warning module, a voice alarm module and a storage module.

[0032] The battery life monitoring module is used to monitor and analyze the battery life of the wristband: set a warning power level for the wristband, generate a battery life warning signal when the battery storage level of the wristband is lower than the warning power level, and send the battery life warning signal to the voice alarm module through the processor. When the voice alarm module receives the battery life warning signal, it broadcasts the battery life warning prompt voice recorded in advance. When the user receives the battery life warning prompt voice, he can open the flip display panel 1 and use the photovoltaic panel 3 to charge the battery of the wristband.

[0033] The GPS locator is used to locate the bracelet and obtain location information, and the location information is sent to the server and the static monitoring module through the processor. The risk parameters of the location information are retrieved through the server, and the risk parameters of the location information are sent to the risk assessment module through the processor. According to the location information, the corresponding risk parameters can be retrieved through the server and fed back to the risk assessment module, and then the risk assessment module analyzes the risk parameters to obtain the risk assessment coefficient, and the risk status of the user's location is fed back according to the risk assessment coefficient. When the risk status is abnormal, an alarm is issued in time, and a voice reminder is given to the user to prevent the user from entering the dangerous area.

[0034] The risk assessment module is used to perform risk assessment and analysis on the location information obtained by the bracelet: risk parameters include natural risk data ZF, historical accident data LS and environmental risk data HF. The process of obtaining natural risk data ZF includes: drawing a circle with the position corresponding to the location information as the center and R1 as the radius, marking the obtained circular area as the assessment area, and marking the number of natural disasters that have occurred in the assessment area in the last L1 months as natural risk data ZF. Natural disasters include landslides, mudslides, avalanches, earthquakes, etc.; historical accident data LS is the number of personal injury incidents in the assessment area in the last L1 months, L1 is a numerical constant, and the specific value of L1 is set by the management personnel; environmental risk data HF is the rainfall in the assessment area in the last L2h, L2 is a numerical constant, and the specific value of L2 is set by the management personnel Personnel set it by themselves; the risk assessment coefficient FP of the assessment area is obtained through the formula FP=c1×ZF+c2×LS+c3×HF, where c1, c2 and c3 are all proportional coefficients, and c1>c2>c3>1; the risk assessment threshold FPmax is obtained through the storage module, and the risk assessment coefficient FP is compared with the risk assessment threshold FPmax: if the risk assessment coefficient FP is less than the risk assessment threshold FPmax, it is determined that the risk status of the assessment area meets the requirements; if the risk assessment coefficient FP is greater than or equal to the risk assessment threshold FPmax, it is determined that the risk status of the assessment area does not meet the requirements, and a risk warning signal is generated and sent to the voice alarm module through the processor. When the voice alarm module receives the risk warning signal, it broadcasts the risk warning prompt voice entered in advance.

[0035] The adaptation analysis module is used to analyze the user's environmental adaptability: generate an analysis cycle and divide the analysis cycle into several analysis time periods, and obtain environmental analysis data HJi and user vital sign data YTw in real time during the analysis period, i = 1, 2, ..., n, n is a positive integer, w = 1, 2, ..., m, m is a positive integer, the environmental analysis data HJi includes environmental temperature, environmental humidity, environmental oxygen content, etc., and the user vital sign data YTw includes user heart rate, user body temperature, etc. For example, when the environmental analysis data is environmental temperature, the corresponding environmental parameter range is 20°C-30°C; retrieve the environmental parameter range corresponding to the environmental analysis parameter HJi of human activities HWi, mark the average value of the maximum and minimum values ​​of the environmental parameter range HWi as the environmental standard value HBi of the environmental analysis data HJi, and mark the maximum value of the absolute value of the difference between the environmental analysis data HJi and the environmental standard value HBi within the analysis period as the environmental deviation data HPi; retrieve the physical sign parameter range TWw corresponding to the physical sign data YTw of human activities, mark the average value of the maximum and minimum values ​​of the physical sign parameter range TWw as the physical sign standard value TBw of the user physical sign data YTw, and mark the maximum value of the absolute value of the difference between the user physical sign data YTw and the physical sign standard value TBw within the analysis period as the physical sign deviation data TPw; through the formula The environmental adaptation coefficient SY of the user during the analysis period is obtained, wherein k1 and k2 are both proportional coefficients, and k2>k1>1; the environmental adaptation threshold SYmax is obtained through the storage module, and the environmental adaptation coefficient HY is compared with the environmental adaptation threshold SYmax: if the environmental adaptation coefficient SY is less than the environmental adaptation threshold SYmax, it is determined that the environmental adaptation state of the user during the analysis period meets the requirements; if the environmental adaptation coefficient SY is greater than or equal to the environmental adaptation threshold SYmax, it is determined that the environmental adaptation state of the user during the analysis period does not meet the requirements, an adaptation warning signal is generated and sent to the voice alarm module and the search and rescue warning module, and the voice alarm module broadcasts the adaptation warning prompt voice recorded in advance after receiving the adaptation warning signal; the environmental adaptation coefficient is obtained by combining a plurality of environmental parameters of the user's location with a plurality of physical sign parameters of the user himself, the environmental adaptation coefficient is evaluated according to the environmental adaptation coefficient, and an alarm is issued in time when the environmental adaptation state is abnormal, reminding the user to leave the current location as soon as possible.

[0036] The static monitoring module is used to perform static monitoring and analysis on the location information of the bracelet: after receiving the location information, the timer is used to count, and when the location information is updated, the timer is reset to zero and restarted. When the timing value of the timer reaches L3h, L3 is a numerical constant, and the specific value of L3 is set by the management personnel; a static warning signal is generated and sent to the voice alarm module and the search and rescue warning module through the processor. After receiving the static warning signal, the voice alarm module broadcasts the static warning prompt voice recorded in advance.

[0037] The search and rescue warning module is used to perform search and rescue warning analysis for users: when a static warning signal and an adaptive warning signal are received at the same time, a search and rescue warning signal is generated and the search and rescue warning signal and location information are sent to the server through the processor; the position of the bracelet is monitored in real time, and a static warning prompt is issued when the bracelet position has not been updated for a long time. At the same time, the necessity of search and rescue alarm is analyzed in combination with the search and rescue warning module, and a search and rescue warning signal is actively generated when necessary to further ensure the safety of users' outdoor adventures.

[0038] Embodiment 2: Figure 4 As shown, a working method of a solar-powered GPS positioning alarm bracelet comprises the following steps:

[0039] Step 1: Position the wristband and obtain location information, send the location information to the server and static monitoring module through the processor, and retrieve the risk parameters of the location information through the server;

[0040] Step 2: Perform risk assessment analysis on the location information obtained by the bracelet: draw a circle with the location corresponding to the location information as the center and R1 as the radius, mark the obtained circular area as the assessment area, obtain the risk assessment coefficient FP of the assessment area, and use the risk assessment coefficient FP to determine whether the risk status of the assessment area meets the requirements;

[0041] Step 3: Analyze the user's environmental adaptability: generate an analysis cycle and divide the analysis cycle into several analysis periods. During the analysis period, obtain the environmental analysis data HJi and the user's vital sign data YTw in real time and perform numerical calculations to obtain the environmental adaptability coefficient SY. The environmental adaptability coefficient SY is used to determine whether the user's environmental adaptability status during the analysis period meets the requirements.

[0042] Step 4: Perform static monitoring and analysis on the wristband’s location information and search and rescue warning analysis.

[0043] A solar-powered GPS positioning alarm bracelet, when in operation, locates the bracelet and obtains position information, sends the position information to a server and a static monitoring module through a processor, and retrieves risk parameters of the position information through the server; draws a circle with a position corresponding to the position information as the center and R1 as the radius, marks the obtained circular area as an assessment area, obtains a risk assessment coefficient FP of the assessment area, and determines whether the risk state of the assessment area meets the requirements through the risk assessment coefficient FP; generates an analysis cycle and divides the analysis cycle into a number of analysis time periods, obtains environmental analysis data HJi and user vital sign data YTw in real time during the analysis time period, performs numerical calculations to obtain an environmental adaptation coefficient SY, and determines whether the environmental adaptation state of the user during the analysis time period meets the requirements through the environmental adaptation coefficient SY; and performs static monitoring analysis and search and rescue early warning analysis on the bracelet's position information.

[0044] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

[0045] The above formulas are obtained by collecting a large amount of data for software simulation and selecting a formula close to the real value. The coefficients in the formula are set by technicians in this field according to the actual situation; for example: formula FP = c1 × ZF + c2 × LS + c3 × HF; technicians in this field collect multiple groups of sample data and set corresponding risk assessment coefficients for each group of sample data; substitute the set risk assessment coefficients and the collected sample data into the formula, any three formulas constitute a three-variable linear equation group, screen the calculated coefficients and take the average, and obtain the values ​​of c1, c2 and c3 as 3.62, 2.57 and 2.05 respectively;

[0046] The size of the coefficient is to quantify each parameter to obtain a specific value for subsequent comparison. The size of the coefficient depends on the amount of sample data and the preliminary setting of the corresponding risk assessment coefficient for each set of sample data by technical personnel in this field; as long as it does not affect the proportional relationship between the parameter and the quantified value, such as the risk assessment coefficient is proportional to the value of the natural risk data.

[0047] In the description of this specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0048] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A solar-powered GPS positioning alarm bracelet, characterized in that: It includes a processor, wherein the processor is communicatively connected to a GPS locator, a risk assessment module, an adaptation analysis module, a static monitoring module, a search and rescue warning module, a voice alarm module and a storage module; The GPS locator is used to locate the wristband and obtain location information, send the location information to the server and the static monitoring module through the processor, retrieve the risk parameters of the location information through the server, and send the risk parameters of the location information to the risk assessment module through the processor; The risk assessment module is used to perform risk assessment analysis on the location information obtained by the bracelet and obtain a risk assessment coefficient FP, and to determine whether the risk status of the location information meets the requirements through the risk assessment coefficient; The adaptation analysis module is used to analyze the user's environmental adaptability: generate an analysis cycle and divide the analysis cycle into several analysis periods, obtain the user's environmental adaptability coefficient SY at the end of the analysis period, and determine whether the user's environmental adaptability status in the analysis period meets the requirements through the environmental adaptability coefficient SY; The static monitoring module is used to perform static monitoring and analysis on the location information of the wristband; The search and rescue warning module is used to perform search and rescue warning analysis on users.

2. A solar-powered GPS positioning alarm bracelet according to claim 1, characterized in that: The process of obtaining the risk assessment coefficient FP includes: the risk parameters include natural risk data ZF, historical accident data LS and environmental risk data HF. The process of obtaining the natural risk data ZF includes: drawing a circle with the position corresponding to the position information as the center and R1 as the radius, marking the obtained circular area as the assessment area, marking the number of natural disasters occurring in the assessment area in the last L1 months as the natural risk data ZF, and natural disasters include landslides, mudslides, avalanches, earthquakes, etc.; the historical accident data LS is the number of personal injury incidents occurring in the assessment area in the last L1 months; the environmental risk data HF is the rainfall in the assessment area in the last L2h; the natural risk data ZF, the historical accident data LS and the environmental risk data HF are numerically calculated to obtain the risk assessment coefficient FP.

3. A solar-powered GPS positioning alarm bracelet according to claim 2, characterized in that: The specific process of determining whether the risk status of the location information meets the requirements includes: obtaining the risk assessment threshold FPmax through the storage module, and comparing the risk assessment coefficient FP with the risk assessment threshold FPmax: if the risk assessment coefficient FP is less than the risk assessment threshold FPmax, then it is determined that the risk status of the assessment area meets the requirements; if the risk assessment coefficient FP is greater than or equal to the risk assessment threshold FPmax, then it is determined that the risk status of the assessment area does not meet the requirements, a risk warning signal is generated and sent to the voice alarm module through the processor, and when the voice alarm module receives the risk warning signal, it broadcasts the risk warning prompt voice entered in advance.

4. A solar-powered GPS positioning alarm bracelet according to claim 3, characterized in that: The process of obtaining the environmental adaptation coefficient SY includes: obtaining the environmental analysis data HJi and the user vital sign data YTw in real time during the analysis period, i=1, 2, ..., n, n is a positive integer, w=1, 2, ..., m, m is a positive integer, calling the environmental parameter range HWi corresponding to the environmental analysis parameter HJi of human activities, marking the average value of the maximum value and the minimum value of the environmental parameter range HWi as the environmental standard value HBi of the environmental analysis data HJi, and marking the maximum value of the absolute value of the difference between the environmental analysis data HJi and the environmental standard value HBi during the analysis period as the environmental deviation data HPi; calling the vital sign parameter range TWw corresponding to the vital sign data YTw of human activities, marking the average value of the maximum value and the minimum value of the vital sign parameter range TWw as the vital sign standard value TBw of the user vital sign data YTw, and marking the maximum value of the absolute value of the difference between the user vital sign data YTw and the vital sign standard value TBw during the analysis period as the vital sign deviation data TPw; and performing numerical calculation on the environmental deviation data HPi and the vital sign deviation data TPw at the end of the analysis period to obtain the environmental adaptation coefficient SY.

5. A solar-powered GPS positioning alarm bracelet according to claim 4, characterized in that: The specific process of determining whether the user's environmental adaptation status during the analysis period meets the requirements includes: obtaining the environmental adaptation threshold SYmax through the storage module, and comparing the environmental adaptation coefficient HY with the environmental adaptation threshold SYmax: if the environmental adaptation coefficient SY is less than the environmental adaptation threshold SYmax, it is determined that the user's environmental adaptation status during the analysis period meets the requirements; if the environmental adaptation coefficient SY is greater than or equal to the environmental adaptation threshold SYmax, it is determined that the user's environmental adaptation status during the analysis period does not meet the requirements, an adaptation warning signal is generated and sent to the voice alarm module and the search and rescue warning module. After receiving the adaptation warning signal, the voice alarm module broadcasts the adaptation warning prompt voice recorded in advance.

6. A solar-powered GPS positioning alarm bracelet according to claim 5, characterized in that: The specific process of the static monitoring module performing static monitoring and analysis on the location information of the bracelet includes: timing through a timer after receiving the location information, the timer is reset to zero and restarted when the location information is updated, and when the timing value of the timer reaches L3h, a static warning signal is generated and sent to the voice alarm module and the search and rescue warning module through the processor. After receiving the static warning signal, the voice alarm module broadcasts the static warning prompt voice recorded in advance.

7. A solar-powered GPS positioning alarm bracelet according to claim 6, characterized in that: The specific process of the search and rescue warning module performing search and rescue warning analysis on the user includes: when receiving the static warning signal and the adaptive warning signal at the same time, generating a search and rescue warning signal and sending the search and rescue warning signal and location information to the server through the processor.

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