A method and system for automatic first aid for people at high risk of disease

Abstract

The present invention discloses a method and system for automatic first aid for people at high risk of disease, the method comprising the following steps: S1: record management of people at high risk of disease, set automatic alarm threshold of physiological data of people at high risk of disease, default reason for calling for help, default address for calling for help and emergency contact; S2: real-time monitoring of physiological data and GPS positioning data of people at high risk of disease, when the monitored physiological data exceeds the automatic alarm threshold, trigger automatic calling for help, enter step S3; S3: notify medical staff to prepare medicines and prepare for dispatch; at the same time, inquire to confirm whether an answer is received, whether to cancel the call for help, confirm the reason for calling for help, the address for calling for help, and the current situation of people at high risk of disease; S4: assign emergency vehicles, arrange medical staff to follow the vehicles, and dynamically adjust the destination according to the inquiry results; S5: reach the destination, find and receive patients, and return to the hospital to treat people at high risk of disease. The present invention can provide first aid to people at high risk of disease more intelligently.

Description

Technical Field

[0001] The present invention relates to the technical field of automatic first aid modes for disease high-risk groups, and in particular to a method and system for automatic first aid for disease high-risk groups. Background Art

[0002] At present, my country's population structure has undergone major changes, the aging problem has become increasingly prominent, and the number of high-risk groups for diseases such as hypertension, cardiovascular and cerebrovascular diseases, and elderly people living alone has increased significantly. When high-risk groups for the above diseases encounter accidents and cannot receive emergency treatment in time, they are very likely to miss the precious opportunity for rescue.

[0003] At present, first aid methods for people at high risk of disease usually have the following problems: (1) Unable to call for help on their own, such as sudden fainting, accidents when living alone or going out alone, etc.; (2) Low efficiency of calling for help, such as language communication barriers such as nervousness and impatience of the caller, dialect and slurred speech; (3) It takes a lot of time to find the patient, such as the address information is wrong, the address information is vague or the range is too large. Summary of the invention

[0004] In view of the above problems, the present invention aims to provide a method and system for automatic first aid for people at high risk of disease.

[0005] The technical solution of the present invention is as follows:

[0006] In one aspect, a method for automatic first aid for people at high risk of disease is provided, comprising the following steps:

[0007] S1: Perform filing management on the high-risk disease population, obtain basic information and physiological data of each high-risk disease person in the high-risk disease population, and set the automatic alarm threshold of the physiological data of the high-risk disease person, the default call for help reason, the default call for help address and the emergency contact person;

[0008] S2: Monitor the physiological data and GPS positioning data of the high-risk person in real time through the smart wearable device. When the monitored physiological data exceeds the physiological data automatic alarm threshold, trigger an automatic call for help and enter step S3;

[0009] S3: Notify medical staff to prepare medicines and prepare for dispatch according to the corresponding record information and emergency information of the high-risk persons;

[0010] At the same time, inquire the high-risk person or the emergency contact to confirm whether a response has been received, whether the call for help has been canceled, and confirm the reason for the call for help, the address for the call for help, and the current condition of the high-risk person;

[0011] S4: Assign emergency vehicles and arrange medical staff to follow the vehicles, and dynamically adjust the destination according to the inquiry results;

[0012] S5: Arrive at the destination, find and receive patients, and return to the hospital to treat those at high risk of the disease.

[0013] Preferably, in step S1, the physiological data includes any one or more of heart rate, blood pressure, and blood oxygen.

[0014] Preferably, in step S3, if a response is received and the response changes the reason for the call for help, the medical staff is notified and the medical staff changes or replenishes the medicine according to the changed reason for the call for help.

[0015] Preferably, in step S4, dynamically adjusting the destination according to the query result is specifically:

[0016] If a response is received and the response cancels the call for help, the first aid process ends;

[0017] If a response is received, without canceling the call, if the call address is changed, the changed address will be used as the destination, otherwise, the default call address will be used as the destination;

[0018] If no response is received, the destination is determined based on the GPS positioning data.

[0019] Preferably, determining the destination according to the GPS positioning data specifically includes the following sub-steps:

[0020] If the real-time GPS location data of the high-risk person is received, the real-time GPS location data is used as the destination;

[0021] If the real-time GPS positioning data of the high-risk person is not received, the interval t between the time when the GPS positioning data was last received and the time when the automatic call for help was triggered is calculated;

[0022] If the interval t does not exceed the GPS signal interruption duration threshold, the last received GPS positioning data is used as the destination;

[0023] If the interval t exceeds the GPS signal interruption duration threshold, trajectory analysis is performed on the high-risk disease personnel to obtain a search area, and the search area is selected as the destination.

[0024] Preferably, the search area is obtained by the following sub-steps:

[0025] Obtain the GPS location data of the high-risk individuals for the disease in the past m natural days, with each day's data being a record, forming a set Ds;

[0026] The GPS positioning data of the high-risk person on the day when the automatic call for help is triggered is obtained, and the trajectory coincidence index is calculated with each record in the set Ds by the following formula:

[0027]

[0028]

[0029] Where: Q and S j The area obtained by the intersection is the sum of the weights of the trajectory length and time overlap; Q is the trajectory of the GPS positioning data in the longitude and latitude coordinates on the day when the automatic call for help is triggered; S j Area is the track of GPS positioning data on the jth day in the set Ds in terms of longitude and latitude coordinates; i is the area between the i-th and i+1-th intersection points of the two trajectories; ω i is the intermediate parameter; Len is the overlap of time periods; Q (I i ,I i+1 ) is Q i The length of the segment trajectory; I i Q and S j The i-th intersection point of i+1 Q and S j The i+1th intersection point of i is the trajectory segment of the day between the i-th intersection point and the i+1-th intersection point; for The length of the segment trajectory; is the j-th day trajectory segment between the i-th intersection point and the i+1-th intersection point; Len Q and Len Sj are the total lengths of the trajectory on the day when the automatic call for help was triggered and the trajectory on the jth day, respectively;

[0030] Sort the results of all the records in the set Ds from small to large, take the first k smallest trajectories, and record that the nearest points to the end point of Q and the k trajectories are P1, P2...P k The corresponding times are On the first k trajectories, take the nearest point P as the starting point and find the t on the corresponding trajectory. p +t time point D, denoted as D1, D2...D k , with point D along the corresponding trajectory with a length d before and after the line segment as the edge, the range surrounded by k line segments is the search area.

[0031] Preferably, the search area includes a first search area and a second search area;

[0032] When acquiring the first search area, the time period overlap

[0033] When acquiring the second search area, the time period overlap Calculate using the following formula:

[0034]

[0035] Where: is the time period between the i-th intersection point and the i+1-th intersection point in trajectory Q; The trajectory S j The time period between the i-th intersection point and the i+1-th intersection point; is the duration of the intersection of two time periods; The duration of the union of two time periods.

[0036] Preferably, the second search area is preferentially selected as the destination.

[0037] On the other hand, a system for automatic first aid for people at high risk of disease is also provided, comprising:

[0038] A filing management module is used to file and manage high-risk disease groups, obtain basic information and physiological data of each high-risk disease person in the high-risk disease group, and set the automatic alarm threshold of the physiological data of the high-risk disease person, the default call for help reason, the default call for help address and the emergency contact;

[0039] A data receiving module is used to receive the physiological data and GPS positioning data of high-risk disease personnel monitored in real time by smart wearable devices;

[0040] An automatic call for help module, used to trigger an automatic call for help when the monitored physiological data exceeds the physiological data automatic alarm threshold;

[0041] The notification module is used to notify medical staff to prepare medicines according to the filing information and emergency information corresponding to the high-risk persons of the disease, assign emergency vehicles, and arrange medical staff to follow the vehicles;

[0042] An inquiry module is used to inquire the high-risk disease person or the emergency contact to confirm whether a response has been received, whether the call for help has been canceled, and to confirm the reason for the call for help, the address for the call for help, and the current situation of the high-risk disease person;

[0043] The destination analysis and confirmation module is used to dynamically adjust the destination based on the query results.

[0044] The beneficial effects of the present invention are:

[0045] The present invention reduces the intermediate links of the 120 dispatch system. When the distress condition is triggered, the medical staff can go to the scene as soon as possible, which improves the response speed of the medical staff. At the same time, an active inquiry and distress cancellation mechanism is added. The emergency response will not stop before a definite cancellation request is received, which can ensure the efficiency of emergency treatment while reducing the situation of patient misoperation. The present invention also records the daily activity range of people at high risk of diseases. In special scenarios such as vague or incorrect address information, failure of terminal equipment used by people at high risk of diseases, weak GPS signals and no signals being received, the present invention can give the patient's inferred location or area, which helps rescuers find the patient quickly. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] 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 labor.

[0047] Figure 1 A schematic flow chart of the method for automatic first aid for high-risk disease population of the present invention;

[0048] Figure 2 This is a schematic diagram of the trajectory of a person at high risk of disease in a specific embodiment;

[0049] Figure 3 This is a schematic diagram of the first search area result of a specific embodiment. DETAILED DESCRIPTION

[0050] The present invention is further described below in conjunction with the accompanying drawings and embodiments. It should be noted that, in the absence of conflict, the embodiments in this application and the technical features in the embodiments can be combined with each other. It should be noted that, unless otherwise specified, all technical and scientific terms used in this application have the same meanings as those generally understood by those of ordinary skill in the art to which this application belongs. The words "including" or "comprising" and the like used in the disclosure of the present invention mean that the elements or objects appearing before the word cover the elements or objects listed after the word and their equivalents, without excluding other elements or objects.

[0051] On the one hand, if Figure 1 As shown, the present invention provides a method for automatic first aid for people at high risk of disease, comprising the following steps:

[0052] S1: Perform filing management on the high-risk disease population, obtain basic information and physiological data of each high-risk disease person in the high-risk disease population, and set the automatic alarm threshold of the physiological data of the high-risk disease person, the default call for help reason, the default call for help address and the emergency contact person.

[0053] In a specific embodiment, community hospitals and other medical institutions are used to register and manage the high-risk population for the disease, and the basic information includes name, gender, etc., and the physiological data includes any one or more of heart rate, blood pressure, and blood oxygen. When setting the automatic alarm threshold of the physiological data, the community hospital and other medical institutions set it after observing and measuring the physiological data of the high-risk population for the disease for a long time, so that the threshold setting can be more scientific and reasonable.

[0054] S2: The physiological data and GPS positioning data of the high-risk persons of the disease are monitored in real time through the smart wearable device. When the monitored physiological data exceeds the automatic alarm threshold of the physiological data, an automatic call for help is triggered and the process goes to step S3.

[0055] It should be noted that the smart wearable device capable of real-time monitoring of physiological data and GPS positioning data is an existing technology, and the specific structure is not repeated here. In addition, some existing smart wearable devices also support one-key active call for help, and the active call for help also triggers the call for help condition.

[0056] S3: Notify medical staff to prepare medicines and prepare for dispatch according to the corresponding record information and emergency information of the high-risk persons;

[0057] At the same time, inquiries are made to the high-risk person or the emergency contact to confirm whether a response has been received, whether the call for help has been canceled, and to confirm the reason for the call for help, the address for the call, and the current condition of the high-risk person.

[0058] In a specific embodiment, if a response is received and the response changes the reason for the call for help, the medical staff will be notified and will change or replenish the medicine according to the changed reason for the call for help.

[0059] It should be noted that this step will also be performed when the high-risk disease personnel or the emergency contact is questioned in step S4, that is, the present invention will continue to make inquiries, continuously check the inquiry status, check whether the call for help is canceled, whether the reason for the call for help is changed, the strength of the GPS signal of the smart wearable device of the person calling for help, etc.

[0060] S4: Assign an emergency vehicle and arrange for medical personnel to follow the vehicle, and dynamically adjust the destination based on the inquiry results.

[0061] In a specific embodiment, dynamically adjusting the destination according to the query result is specifically:

[0062] If a response is received and the response cancels the call for help, the first aid process ends;

[0063] If a response is received, without canceling the call, if the call address is changed, the changed address will be used as the destination, otherwise, the default call address will be used as the destination;

[0064] If no response is received, the destination is determined based on the GPS positioning data.

[0065] In a specific embodiment, determining the destination according to the GPS positioning data specifically includes the following sub-steps:

[0066] If the real-time GPS location data of the high-risk person is received, the real-time GPS location data is used as the destination;

[0067] If the real-time GPS positioning data of the high-risk person is not received, the interval t between the time when the GPS positioning data was last received and the time when the automatic call for help was triggered is calculated;

[0068] If the interval t does not exceed the GPS signal interruption duration threshold, the last received GPS positioning data is used as the destination;

[0069] If the interval t exceeds the GPS signal interruption duration threshold, trajectory analysis is performed on the high-risk disease personnel to obtain a search area, and the search area is selected as the destination.

[0070] In a specific embodiment, the search area is obtained by the following sub-steps:

[0071] Obtain the GPS location data of the high-risk individuals for the disease in the past m natural days, with each day's data being a record, forming a set Ds;

[0072] The GPS positioning data of the high-risk person on the day when the automatic call for help is triggered is obtained, and the trajectory coincidence index is calculated with each record in the set Ds by the following formula:

[0073]

[0074] Where: is the sum of the areas obtained by the intersection of Q and Sj under the weight of trajectory length and time overlap; Q is the trajectory of the GPS positioning data in the longitude and latitude coordinates on the day when the automatic call for help is triggered; S j Area is the track of the GPS positioning data on the jth day in the set Ds in terms of longitude and latitude coordinates; i is the area between the i-th and i+1-th intersection points of the two trajectories; ω i is the intermediate parameter; Len is the overlap of time periods; Q (I i , I i+1 ) is Qi The length of the segment trajectory; I i Q and S j The i-th intersection point of i+1 Q and S j The i+1th intersection point of i is the trajectory segment of the day between the i-th intersection point and the i+1-th intersection point; for The length of the segment trajectory; is the j-th day trajectory segment between the ith intersection point and the i+1th intersection point; Len Q and are the total lengths of the trajectory on the day when the automatic call for help was triggered and the trajectory on the jth day, respectively;

[0075] Sort the results of all the records in the set Ds from small to large, take the first k smallest trajectories, and record that the nearest points from the end point of Q to the k trajectories are P1, P2...P k The corresponding times are On the first k trajectories, take the nearest point P as the starting point and find the t on the corresponding trajectory. p +t time point D, denoted as D1, D2...D k , with point D along the corresponding trajectory with a length d before and after the line segment as the edge, the range surrounded by k line segments is the search area.

[0076] In a specific embodiment, the search area includes a first search area and a second search area;

[0077] When acquiring the first search area, the time period overlap

[0078] When acquiring the second search area, the time period overlap Calculate using the following formula:

[0079]

[0080] Where: is the time period between the i-th intersection point and the i+1-th intersection point in trajectory Q; is the time period between the i-th intersection point and the i+1-th intersection point in the trajectory Sj; is the duration of the intersection of two time periods; The duration of the union of two time periods.

[0081] In a specific embodiment, Q and S j Plotted in the coordinate system Figure 2 As shown, the first search area obtained by the above method is as follows Figure 3 shown. Figure 3 In, k = 2, They are The smallest two tracks.

[0082] In a specific embodiment, the second search area is preferentially selected as the destination.

[0083] S5: Arrive at the destination, find and receive patients, and return to the hospital to treat those at high risk of the disease.

[0084] On the other hand, the present invention also provides a system for automatic first aid for people at high risk of disease, comprising:

[0085] A filing management module is used to file and manage high-risk disease groups, obtain basic information and physiological data of each high-risk disease person in the high-risk disease group, and set the automatic alarm threshold of the physiological data of the high-risk disease person, the default call for help reason, the default call for help address and the emergency contact;

[0086] A data receiving module is used to receive the physiological data and GPS positioning data of high-risk disease personnel monitored in real time by smart wearable devices;

[0087] An automatic call for help module, used to trigger an automatic call for help when the monitored physiological data exceeds the physiological data automatic alarm threshold;

[0088] The notification module is used to notify medical staff to prepare medicines according to the filing information and emergency information corresponding to the high-risk persons of the disease, assign emergency vehicles, and arrange medical staff to follow the vehicles;

[0089] An inquiry module is used to inquire the high-risk disease person or the emergency contact to confirm whether a response has been received, whether the call for help has been canceled, and to confirm the reason for the call for help, the address for the call for help, and the current situation of the high-risk disease person;

[0090] The destination analysis and confirmation module is used to dynamically adjust the destination based on the query results.

[0091] In the above embodiment, the system can receive and monitor the data reported in real time by the terminals used by people at high risk of disease, and automatically alarm after the alarm condition is triggered, so that the present invention can be applied to the rescue scene where people cannot call for help autonomously.

[0092] The present invention reduces the intermediate link of 120 manual connection dispatching on the basis of filing the information of high-risk disease groups. When the distress call condition is triggered, the medical staff can go to the scene immediately, which improves the response speed and dispatch speed of the medical staff and avoids the problem of low efficiency of distress call caused by language communication barriers such as nervousness, impatience, dialect and slurred speech of the caller.

[0093] In addition, the present invention reduces the intermediate links of 120 manual connection dispatching and adds an active inquiry and call cancellation mechanism. The emergency response will not stop before receiving a definite cancellation request, which can ensure the efficiency of emergency response while reducing the possibility of patient misoperation.

[0094] The present invention records the daily activity range of people at high risk of disease. In special scenarios such as vague or incorrect address information, malfunction of terminal equipment used by people at high risk of disease, or weak GPS signal that cannot receive any signal, it can provide an inferred location or area of ​​the patient calling for help, thereby helping rescue personnel to quickly search for and find the patient calling for help.

[0095] The above description is only a preferred embodiment of the present invention and does not constitute any form of limitation to the present invention. Although the present invention has been disclosed as a preferred embodiment as above, it is not intended to limit the present invention. Any technician familiar with the profession can make some changes or modifications to equivalent embodiments of equivalent changes using the technical contents disclosed above without departing from the scope of the technical solution of the present invention. However, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the content of the technical solution of the present invention still falls within the scope of the technical solution of the present invention.

Claims

1. A method for automatic first aid for people at high risk of disease, characterized in that: The following steps are involved: S1: Perform filing management on the high-risk disease population, obtain basic information and physiological data of each high-risk disease person in the high-risk disease population, and set the automatic alarm threshold of the physiological data of the high-risk disease person, the default call for help reason, the default call for help address and the emergency contact person; S2: Monitor the physiological data and GPS positioning data of the high-risk person in real time through the smart wearable device. When the monitored physiological data exceeds the physiological data automatic alarm threshold, trigger an automatic call for help and enter step S3; S3: Notify medical staff to prepare medicines and prepare for dispatch according to the corresponding record information and emergency information of the high-risk persons; At the same time, inquire the high-risk person or the emergency contact to confirm whether a response has been received, whether the call for help has been canceled, and confirm the reason for the call for help, the address for the call for help, and the current condition of the high-risk person; S4: Assign an emergency vehicle and arrange for medical personnel to follow the vehicle, and dynamically adjust the destination based on the inquiry results; the specific adjustment of the destination based on the inquiry results is: If a response is received and the response cancels the call for help, the first aid process ends; If a response is received, without canceling the call, if the call address is changed, the changed address will be used as the destination, otherwise, the default call address will be used as the destination; If no answer is received, the destination is determined according to the GPS positioning data; determining the destination according to the GPS positioning data specifically includes the following sub-steps: If the real-time GPS location data of the high-risk person is received, the real-time GPS location data is used as the destination; If the real-time GPS positioning data of the high-risk person is not received, the interval t between the time when the GPS positioning data was last received and the time when the automatic call for help was triggered is calculated; If the interval t does not exceed the GPS signal interruption duration threshold, the last received GPS positioning data is used as the destination; If the interval t exceeds the GPS signal interruption duration threshold, trajectory analysis is performed on the high-risk disease personnel to obtain a search area, and the search area is selected as the destination; the search area is obtained by the following sub-steps: Obtain the GPS location data of the high-risk individuals for the disease in the past m natural days, with each day's data being a record, forming a set Ds; The GPS positioning data of the high-risk person on the day when the automatic call for help is triggered is obtained, and the trajectory coincidence index is calculated with each record in the set Ds by the following formula: Where: For Q and S j The area obtained by the intersection is the sum of the weights of the trajectory length and time overlap; Q is the trajectory of the GPS positioning data in the longitude and latitude coordinates on the day when the automatic call for help is triggered; S j Area is the track of the GPS positioning data on the jth day in the set Ds in terms of longitude and latitude coordinates; i is the area between the i-th and i+1-th intersection points of the two trajectories; ω i is the intermediate parameter; Len is the overlap of time periods; Q (I i ,I i+1 ) is Q i The length of the segment trajectory; I i For Q and S j The i-th intersection point of I i+1 For Q and S j The i+1th intersection point of ; Q i is the trajectory segment of the day between the i-th intersection point and the i+1-th intersection point; for The length of the segment trajectory; is the j-th day trajectory segment between the ith intersection point and the i+1th intersection point; Len Q and are the total lengths of the trajectory on the day when the automatic call for help was triggered and the trajectory on the jth day, respectively; Sort the results of all the records in the set Ds from small to large, take the first k smallest trajectories, and record that the nearest points to the end point of Q and the k trajectories are P1, P2...P k The corresponding times are On the first k trajectories, take the nearest point P as the starting point and find the t on the corresponding trajectory. p +t time point D, denoted as D1, D2...D k , with point D along the corresponding trajectory before and after the length d as the edge to form a line segment, the range surrounded by k line segments is the search area; S5: Arrive at the destination, find and receive patients, and return to the hospital to treat those at high risk of the disease.

2. The method for automatic first aid for high-risk groups of diseases according to claim 1, characterized in that: In step S1, the physiological data includes any one or more of heart rate, blood pressure, and blood oxygen.

3. The method for automatic first aid for high-risk groups of diseases according to claim 1, characterized in that: In step S3, if a response is received and the response changes the reason for the call for help, the medical staff will be notified and will change or replenish the medicine according to the changed reason for the call for help.

4. The method for automatic first aid for high-risk groups of diseases according to claim 1, characterized in that: The search area includes a first search area and a second search area; When acquiring the first search area, the time period overlap When acquiring the second search area, the time period overlap Calculate using the following formula: Where: is the time period between the i-th intersection point and the i+1-th intersection point in trajectory Q; The trajectory S j The time period between the i-th intersection point and the i+1-th intersection point; is the duration of the intersection of two time periods; The duration of the union of two time periods.

5. The method for automatic first aid for high-risk groups of diseases according to claim 4, characterized in that: The second search area is preferentially selected as the destination.

6. A system for automatic first aid for people at high risk of disease, characterized in that: include: A filing management module is used to file and manage high-risk disease groups, obtain basic information and physiological data of each high-risk disease person in the high-risk disease group, and set the automatic alarm threshold of the physiological data of the high-risk disease person, the default call for help reason, the default call for help address and the emergency contact; A data receiving module is used to receive the physiological data and GPS positioning data of high-risk disease personnel monitored in real time by smart wearable devices; An automatic call for help module, used to trigger an automatic call for help when the monitored physiological data exceeds the physiological data automatic alarm threshold; The notification module is used to notify medical staff to prepare medicines according to the filing information and emergency information corresponding to the high-risk persons of the disease, assign emergency vehicles, and arrange medical staff to follow the vehicles; An inquiry module is used to inquire the high-risk disease person or the emergency contact to confirm whether a response has been received, whether the call for help has been canceled, and to confirm the reason for the call for help, the address for the call for help, and the current situation of the high-risk disease person; The destination analysis and confirmation module is used to dynamically adjust the destination according to the query results; the specific steps of dynamically adjusting the destination according to the query results are as follows: If a response is received and the response cancels the call for help, the first aid process ends; If a response is received, without canceling the call, if the call address is changed, the changed address will be used as the destination, otherwise, the default call address will be used as the destination; If no answer is received, the destination is determined according to the GPS positioning data; determining the destination according to the GPS positioning data specifically includes the following sub-steps: If the real-time GPS location data of the high-risk person is received, the real-time GPS location data is used as the destination; If the real-time GPS positioning data of the high-risk person is not received, the interval t between the time when the GPS positioning data was last received and the time when the automatic call for help was triggered is calculated; If the interval t does not exceed the GPS signal interruption duration threshold, the last received GPS positioning data is used as the destination; If the interval t exceeds the GPS signal interruption duration threshold, trajectory analysis is performed on the high-risk disease personnel to obtain a search area, and the search area is selected as the destination; the search area is obtained by the following sub-steps: Obtain the GPS location data of the high-risk individuals for the disease in the past m natural days, with each day's data being a record, forming a set Ds; The GPS positioning data of the high-risk person on the day when the automatic call for help is triggered is obtained, and the trajectory coincidence index is calculated with each record in the set Ds by the following formula: Where: For Q and S j The area obtained by the intersection is the sum of the weights of the trajectory length and time overlap; Q is the trajectory of the GPS positioning data in the longitude and latitude coordinates on the day when the automatic call for help is triggered; S j Area is the track of GPS positioning data on the jth day in the set Ds in terms of longitude and latitude coordinates; i is the area between the i-th and i+1-th intersection points of the two trajectories; ω i is the intermediate parameter; Len is the overlap of time periods; Q (I i ,I i+1 ) is Q i The length of the segment trajectory; I i For Q and S j The i-th intersection point of I i+1 For Q and S j The i+1th intersection point of ; Q i is the trajectory segment of the day between the i-th intersection point and the i+1-th intersection point; for The length of the segment trajectory; is the j-th day trajectory segment between the i-th intersection point and the i+1-th intersection point; Len Q and are the total lengths of the trajectory on the day when the automatic call for help was triggered and the trajectory on the jth day, respectively; Sort the results of all the records in the set Ds from small to large, take the first k smallest trajectories, and record that the nearest points to the end point of Q and the k trajectories are P1, P2...P k The corresponding times are On the first k trajectories, take the nearest point P as the starting point and find the t on the corresponding trajectory. p +t time point D, denoted as D1, D2...D k , with point D along the corresponding trajectory with a length d before and after the line segment as the edge, the range surrounded by k line segments is the search area.

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