Intelligent processing method and system for trajectory information

Abstract

The present application provides an intelligent processing method and system for trajectory information. After the server detects a loss of connection, it determines a reference search and rescue range based on multiple historical positioning information, and determines the types of accidents that may occur within the reference search and rescue range and their corresponding reference probability of occurrence in combination with the terrain information and meteorological information within the reference search and rescue range; determines the target search and rescue range corresponding to each type of accident based on the type of accident, and determines the search and rescue order of the target search and rescue range based on the reference probability of occurrence. Therefore, in the present application, the types and probabilities of accidents that may occur are determined by combining historical positioning information with terrain and meteorological information, and the corresponding target search and rescue range and its search and rescue order are determined based on the types and probabilities of accidents, which can improve the rationality and accuracy of search and rescue range planning, and can effectively improve search and rescue efficiency and reduce resource waste.

Description

Technical Field

[0001] The present application relates to the field of information processing technology, and in particular to a method and system for intelligently processing trajectory information. Background Art

[0002] In outdoor sports such as hiking and climbing where there is no signal, when the positioning device of the participants is lost or cannot be used, it is easy for them to get lost in the mountains, and the outside world cannot detect it in time. Even after the rescue begins, they often only know the last location of the participant's signal, and cannot accurately determine the search and rescue scope or quickly locate the position of the missing person. Summary of the invention

[0003] The present application provides a method and system for intelligent processing of trajectory information, which determines the type and probability of possible accidents by combining historical positioning information with terrain and meteorological information, and determines the corresponding target search and rescue scope and search and rescue sequence according to the type and probability of accidents, thereby improving the rationality and accuracy of search and rescue scope planning, and can effectively improve search and rescue efficiency and reduce resource waste.

[0004] In a first aspect, an embodiment of the present application provides an intelligent processing method for trajectory information, which is applied to a server of an emergency search and rescue system, wherein the emergency search and rescue system also includes a Beidou positioning device for outdoor users, and the method also includes: periodically obtaining the positioning information of the Beidou positioning device, and detecting a loss of connection event based on the positioning information; obtaining multiple historical positioning information of the Beidou positioning device, and determining the average moving speed of the outdoor user based on the multiple historical positioning information; determining a reference search and rescue range based on the last historical positioning information and the time information it carries, and the average moving speed; obtaining terrain information and meteorological information within the reference search and rescue range; determining dangerous terrain or extreme weather within the reference search and rescue range based on the terrain information and the meteorological information; determining possible accident types and their corresponding reference occurrence probabilities based on the dangerous terrain or the extreme weather; determining a target search and rescue range corresponding to each accident type based on the accident type, and determining a search and rescue order for each target search and rescue range based on the reference occurrence probability of each accident type; and outputting each target search and rescue range and the corresponding search and rescue order.

[0005] In a second aspect, the present application provides an intelligent processing device for trajectory information, which is applied to a server of an emergency search and rescue system, wherein the emergency search and rescue system also includes a Beidou positioning device for outdoor users, and the method also includes: a receiving unit, which is used to periodically obtain the positioning information of the Beidou positioning device, and detect a loss of connection event based on the positioning information; obtain multiple historical positioning information of the Beidou positioning device; a processing unit, which is used to determine the average moving speed of the outdoor user based on the multiple historical positioning information; determine a reference search and rescue range based on the last historical positioning information and the time information it carries, and the average moving speed; the receiving unit is used to obtain terrain information and meteorological information within the reference search and rescue range; determine the dangerous terrain or extreme weather within the reference search and rescue range based on the terrain information and the meteorological information; the processing unit is used to determine the possible types of accidents and their corresponding reference occurrence probabilities based on the dangerous terrain or the extreme weather; and determine the target search and rescue range corresponding to each type of accident based on the type of accident, and determine the search and rescue order of each target search and rescue range based on the reference occurrence probability of each type of accident; a sending unit is used to output each target search and rescue range and the corresponding search and rescue order.

[0006] In a third aspect, the present application provides an emergency search and rescue system, comprising a server and a Beidou positioning device carried by outdoor users, wherein the server is used to execute the step instructions in the method as described in any one of the first aspects.

[0007] In a fourth aspect, the present application provides a computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program or instructions, and when the computer program or instructions are executed by a processor, the steps of the method described in any one of the first aspects are implemented.

[0008] It can be seen that in the embodiment of the present application, the server periodically obtains the positioning information of the Beidou positioning device, detects the loss of connection event according to the positioning information; obtains multiple historical positioning information of the Beidou positioning device, and determines the average moving speed of the outdoor user according to the multiple historical positioning information; determines the reference search and rescue range according to the last historical positioning information and the time information and average moving speed it carries; obtains the terrain information and meteorological information within the reference search and rescue range; determines the dangerous terrain or extreme weather existing in the reference search and rescue range according to the terrain information and meteorological information; determines the possible types of accidents and their corresponding reference probability of occurrence according to the dangerous terrain or extreme weather; determines the target search and rescue range corresponding to each type of accident according to the type of accident, and determines the search and rescue order of each target search and rescue range according to the reference probability of occurrence of each type of accident; outputs each target search and rescue range and the corresponding search and rescue order. Therefore, in the present application, the possible types and probabilities of accidents are determined by combining the historical positioning information with the terrain and meteorological information, and the corresponding target search and rescue range and search and rescue order are determined according to the types and probabilities of accidents. Compared with the method of determining the search and rescue range only according to the positioning information of outdoor users in the prior art, the rationality and accuracy of the search and rescue range planning can be improved, and the search and rescue efficiency can be effectively improved, and the waste of resources can be reduced. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. Among them,

[0010] Figure 1 A schematic diagram of the structure of an emergency search and rescue system provided in an embodiment of the present application;

[0011] Figure 2 A schematic diagram of a flow chart of an intelligent processing method of trajectory information provided in an embodiment of the present application;

[0012] Figure 3 An example diagram of a reference search and rescue range provided in an embodiment of the present application;

[0013] Figure 4 A schematic diagram of dangerous terrain distribution within a reference search and rescue range provided in an embodiment of the present application;

[0014] Figure 5 Another schematic diagram of dangerous terrain distribution within a reference search and rescue range provided in an embodiment of the present application;

[0015] Figure 6 A schematic diagram of the search and rescue sequence for each dangerous terrain provided in the embodiment of the present application;

[0016] Figure 7 A schematic diagram of the search and rescue scope for heat stroke accidents and hypothermia accidents provided in the embodiments of the present application;

[0017] Figure 8 This is a block diagram of the functional unit structure of an intelligent processing device for trajectory information provided in an embodiment of the present application. DETAILED DESCRIPTION

[0018] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0019] The terms "first", "second", etc. in the specification and claims of this application and the above-mentioned drawings are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but in some embodiments also includes steps or units that are not listed, or in some embodiments also includes other steps or units inherent to these processes, methods, products or devices.

[0020] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0021] In the embodiments of the present application, "and / or" describes the association relationship of the associated objects, indicating that three relationships may exist. For example, A and / or B can represent the following three situations: A exists alone; A and B exist at the same time; B exists alone. Among them, A and B can be singular or plural.

[0022] In the embodiment of the present application, the symbol " / " can indicate that the objects associated with each other are in an "or" relationship. In addition, the symbol " / " can also indicate a division sign, that is, performing a division operation. For example, A / B can indicate A divided by B.

[0023] In the embodiments of the present application, "at least one item" or similar expressions refer to any combination of these items, including any combination of single items or plural items, and refer to one or more, and multiple refers to two or more. For example, at least one item of a, b, or c can represent the following seven situations: a, b, c, a and b, a and c, b and c, a, b, and c. Among them, each of a, b, and c can be an element or a set containing one or more elements.

[0024] In the embodiments of the present application, "equal to" can be used in conjunction with greater than, and is applicable to the technical solution adopted when greater than, and can also be used in conjunction with less than, and is applicable to the technical solution adopted when less than. When equal to is used in conjunction with greater than, it is not used in conjunction with less than; when equal to is used in conjunction with less than, it is not used in conjunction with greater than. The present application provides a parameter input method and an infusion device for an infusion device. By setting an input mode switching control on a parameter editing interface, medical staff can flexibly select a suitable input mode from at least two input modes for parameter input according to actual applications, thereby improving the efficiency and accuracy of parameter input.

[0025] The technical solution of the present application and how the technical solution of the present application solves the above-mentioned technical problems are described in detail below with specific embodiments. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of the present application will be described below in conjunction with the accompanying drawings.

[0026] The present application provides a method and system for intelligent processing of trajectory information, which determines the type and probability of possible accidents by combining historical positioning information with terrain and meteorological information, and determines the corresponding target search and rescue scope and search and rescue sequence according to the type and probability of accidents, thereby improving the rationality and accuracy of search and rescue scope planning, and can effectively improve search and rescue efficiency and reduce resource waste.

[0027] The technical solution of the present application and how the technical solution of the present application solves the above-mentioned technical problems are described in detail below with specific embodiments. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of the present application will be described below in conjunction with the accompanying drawings.

[0028] See also Figure 1 and Figure 2 , Figure 1 A schematic diagram of the structure of an emergency search and rescue system provided in an embodiment of the present application is shown in FIG. Figure 2 A flowchart of a method for intelligently processing trajectory information provided in an embodiment of the present application.

[0029] The emergency search and rescue system 1 includes a server 10, a Beidou positioning device 20 of an outdoor user 21, and a geographic information mapping system 30, and the server 10 is communicatively connected with the Beidou positioning device 20 and the geographic information mapping system.

[0030] The server 10 may specifically include a server for data processing in the background that is applied to one side of the network platform and can realize functions such as data transmission and data processing. It may be a physical server or a server cluster or distributed system composed of multiple physical servers. In this embodiment, the number of servers is not specifically limited. Alternatively, it may also be a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, content delivery networks (CDNs), and big data and artificial intelligence platforms.

[0031] The Beidou positioning device 20 may specifically include a front-end device applied to the user side, capable of realizing functions such as positioning, navigation, short message interaction, and trajectory calibration, including but not limited to smart watches with satellite positioning functions, vehicle-mounted positioning terminals, Beidou boxes, handheld terminals, and professional measuring equipment. Figure 1 Take Beidou Box as an example.

[0032] The geographic information mapping system 30 specifically includes a front-end device applied to the user side, which can realize the capture, storage, management, analysis, display and interpretation of geographic data, and can be a user equipment (UE) such as a mobile phone, a smart phone, a laptop, a digital broadcast receiver, a personal digital assistant (PDA), a tablet computer (PAD), a handheld device, a vehicle-mounted device, a wearable device, a computing device or other processing equipment connected to a wireless modem, a mobile station (MS), a mobile terminal, etc. Alternatively, the geographic information mapping system 30 can also be a software application that can run in the above electronic devices, Figure 1 Take the computer as an example.

[0033] Server 10 is Figure 2 The execution body of the intelligent processing method shown in the figure includes the following steps S201 to S207:

[0034] Step S201: The server periodically obtains the positioning information of the Beidou positioning device and detects a loss of connection event based on the positioning information.

[0035] Among them, the Beidou positioning device has a track recording function, which can obtain the user's positioning information according to the set track reporting frequency and report the positioning information to the server.

[0036] The specific process of obtaining positioning information in a positioning cycle includes the following steps ac:

[0037] Step a, after receiving the trigger operation of the track record button by the outdoor user, the Beidou positioning module of the Beidou positioning device sends a positioning request to the Beidou system server;

[0038] Step b, after receiving the positioning request, the Beidou positioning system sends a positioning request to multiple satellites with known positions to instruct the multiple satellites to send satellite signals to the Beidou box;

[0039] Step c, after the Beidou positioning module receives satellite signals from at least four satellites, it determines the position coordinates (including longitude, latitude and altitude) of the Beidou positioning device according to the launch time and launch position contained in the satellite signals. When the outdoor user triggers the track record button again, the track record function is terminated.

[0040] Furthermore, during the positioning of the Beidou positioning device, after the Beidou positioning module starts the positioning operation, the control display screen displays a first prompt interface, in which "Positioning..." is displayed, and the positioning icon in the status bar is controlled to flash; if the positioning is still not successful within 1 minute, the control display screen displays a second prompt interface, in which "Positioning, please move to an open area" is displayed until the positioning is successful; after the positioning is successful, a short message and positioning information are sent to the server through the Beidou communication module.

[0041] When the server detects that the last historical positioning information has not changed within a preset time, or detects that the positioning information of the Beidou positioning device has not been received within a preset time, it promptly contacts the outdoor user and his / her companions to determine the actual situation of the outdoor user. If it is determined that the outdoor user is out of contact, the subsequent steps are continued.

[0042] Step S202: The server obtains multiple historical positioning information of the Beidou positioning device, and determines the average moving speed of the outdoor user according to the multiple historical positioning information.

[0043] Among them, each positioning information reported by the Beidou positioning device carries the time information when it is reported. According to the time information and the route distance between multiple positioning information, the average moving speed of the outdoor user can be determined.

[0044] Step S203: The server determines a reference search and rescue range according to the last historical positioning information, the time information it carries, and the average moving speed.

[0045] In some embodiments, determining the reference search and rescue range based on the last historical positioning information, the time information it carries, and the average moving speed includes: determining the search and rescue distance based on the time information and the average moving speed; generating the reference search and rescue range with the last historical positioning information as the center and the search and rescue distance as the radius.

[0046] The time of loss of connection is determined based on the time information of the last historical positioning information and the time information of the current processing moment. The search and rescue distance is determined based on the time of loss of connection and the average moving speed of the outdoor user. The search and rescue distance is equal to the loss of connection event × the average moving speed. The reference search and rescue range is determined with the search and rescue distance as the radius and the location of the last positioning information as the center. The server sends the outdoor user's target hiking route, the location of the last positioning information, the search and rescue distance, and the reference search and rescue range to the geographic information mapping system. The geographic information mapping system draws the reference search and rescue range based on the above information, such as Figure 3 shown. Figure 3 An example diagram of a reference search and rescue range provided for an embodiment of the present application.

[0047] Step S204: The server obtains terrain information and meteorological information within the reference search and rescue range; and determines the dangerous terrain or extreme weather within the reference search and rescue range based on the terrain information and the meteorological information.

[0048] Among them, terrain information includes but is not limited to slope, surface water flow and direction, and terrain complexity; meteorological information includes but is not limited to temperature, humidity, precipitation, and wind speed.

[0049] In some embodiments, the determining of the dangerous terrain or extreme weather existing in the reference search and rescue range based on the terrain information and the meteorological information includes: determining a first dangerous terrain based on the relationship between the slope and a preset slope, the first dangerous terrain including cliffs and steep slopes; determining a second dangerous terrain based on the surface water flow and direction, the precipitation, and preset water flow information, the second dangerous terrain including deep water areas and rapids areas; determining a third dangerous terrain based on the complexity of the terrain, the third dangerous terrain including an easy-to-get-lost area; determining the extreme weather based on the temperature and the precipitation, the extreme weather including high temperature, low temperature, and heavy rain.

[0050] Among them, if there is dangerous terrain within the search and rescue range or extreme weather conditions before and after the loss of contact, the possibility of an accident occurring to outdoor users is greater, and the specific type of accident can be determined based on the dangerous terrain and extreme weather conditions.

[0051] The slope of the cliff may be close to vertical, that is, 90°, and a steep slope generally refers to a slope between 30° and 60°. Therefore, the value range of the preset slope may be between 30° and 90°.

[0052] Among them, surface water includes original streams and rivers in forest areas, as well as mountain torrents caused by rising water levels on mountain trails due to rainfall. The preset water flow information includes but is not limited to water flow velocity, water flow depth, and water flow rate. When the water flow velocity exceeds the preset velocity or the water flow rate exceeds the preset flow rate, water flow impact accidents are very likely to occur, causing outdoor users to be washed away by the water flow when passing through the water flow. Exemplarily, when the water flow velocity is lower than 1.5 m / s, people are generally not easily washed away; when the water flow velocity reaches 1.5 to 3 m / s, there is a certain risk that people may be washed away; when the water flow velocity exceeds 3 m / s, there is a higher risk and people are easily washed away. Therefore, the value range of the preset water flow velocity can be greater than 1.5 m / s, and the preset flow rate can be greater than 2m / s. 3 When the water depth exceeds the preset depth, drowning accidents may occur. The preset depth can be greater than 1.5m.

[0053] Among them, terrain complexity can be determined by comprehensively considering parameters such as terrain curvature, sight distance, terrain feature density, and path tortuosity. Terrain curvature refers to the curvature of the surface. Areas with high curvature usually have rapid terrain changes, which may increase the possibility of getting lost; sight distance refers to the visible range at a certain point in the terrain, and areas with short sight distance are prone to getting lost; terrain feature density refers to the density of significant terrain features (such as peaks, gullies, and rocks) in the terrain. Areas with high feature density usually have complex terrain and are prone to getting lost; path tortuosity refers to the degree of tortuosity of the path or road. Terrain with high tortuosity is prone to getting lost. In specific implementation, the above terrain parameters can be used by drones equipped with laser radar (LiDAR) to scan the target forest area, and the obtained terrain data can be imported into the geographic information mapping system for storage.

[0054] Among them, extreme weather includes high temperature, low temperature, and heavy rain. The corresponding extreme weather type is determined based on the temperature and rainfall conditions before and after the outdoor user loses contact.

[0055] It can be seen that in this embodiment, the dangerous terrain and extreme weather within the reference search and rescue range are determined based on the terrain information and meteorological information within the reference search and rescue range, so as to adjust the search and rescue range and search and rescue strategy according to the dangerous terrain and extreme weather to improve the search and rescue efficiency.

[0056] Step S205: The server determines the possible types of accidents and their corresponding reference probability of occurrence according to the dangerous terrain or the extreme weather.

[0057] In some embodiments, the determining of at least one possible accident type and its corresponding reference probability of occurrence based on the dangerous terrain or the extreme weather includes: determining that the accident type corresponding to the first dangerous terrain includes a falling accident; determining that the accident type corresponding to the second dangerous terrain includes a drowning accident and a water impact accident; determining that the accident type corresponding to the third dangerous terrain includes a getting lost accident; determining the target hiking route of the outdoor user based on the multiple historical positioning information; determining the reference probability of occurrence of the falling accident, the drowning accident, the water impact accident, and the getting lost accident based on the position deviation between the location of the dangerous terrain and the target hiking route; determining that the accident type corresponding to the extreme weather includes a heat stroke accident and a hypothermia accident; determining the reference probability of occurrence of the heat stroke accident and the hypothermia accident based on the temperature, the humidity, and the wind speed.

[0058] In some embodiments, the reference occurrence probability of the falling accident, the drowning accident, the water impact accident, and the getting lost accident is determined based on the position deviation between the location of the dangerous terrain and the target hiking route, including: if part of the target hiking route within the reference search and rescue range passes through the location of the dangerous terrain, then the reference occurrence probability is determined to be a first preset threshold; if the part of the target hiking route does not pass through the location of the dangerous terrain, then the distance deviation between the last historical positioning information and the position information of each dangerous terrain is determined based on the last historical positioning information and the position information of each dangerous terrain; the target hiking direction of the outdoor user is determined based on the multiple historical positioning information; based on the last historical positioning information, the angle deviation between the target hiking direction and each dangerous terrain is determined; and the reference occurrence probability is determined based on the distance deviation and the angle deviation.

[0059] Among them, within the reference search and rescue range, if the outdoor user's target hiking route passes through the location of dangerous terrain, it is determined that the possibility of the corresponding accident type is high, and it can be considered that the dangerous terrain must be searched and checked. Therefore, the reference probability of the corresponding accident type can be directly determined as the first preset threshold value, and the first value can be set according to the actual situation, for example, any value between 50-100%. For example, please refer to Figure 4 , Figure 4 A schematic diagram of dangerous terrain distribution within a reference search and rescue range is provided for an embodiment of the present application, such as Figure 4 As shown, there are cliffs, steep slopes, deep water areas, rapids areas, and areas where it is easy to get lost within the reference search and rescue range. The target hiking route passes through cliff areas and deep water areas, but does not pass through steep slopes, rapids areas, and areas where it is easy to get lost. The reference occurrence probability of cliffs and deep water areas is determined to be 70%.

[0060] Among them, within the reference search and rescue range, if the outdoor user's target hiking route does not pass through the dangerous terrain, the reference occurrence probability is determined based on the distance deviation and angle deviation between the last historical positioning information and the dangerous terrain that was not passed.

[0061] In a specific implementation, the first three-dimensional coordinate data of the last historical positioning information is obtained, and the second three-dimensional coordinate data of the position information of each dangerous terrain is obtained;

[0062] Determine the distance deviation according to the first three-dimensional coordinate data and each second three-dimensional coordinate, the smaller the distance deviation is, the easier it is for the outdoor user to deviate from the target hiking route and reach the location of the dangerous terrain, and thus the reference occurrence probability is higher;

[0063] The target hiking direction of outdoor users is obtained based on multiple historical positioning data. The angle deviation between the target hiking direction and the location of each dangerous terrain is determined based on the last historical positioning information. Specifically, it includes:

[0064] The target hiking direction is determined as a straight line passing through the first three-dimensional coordinate data. For the second three-dimensional coordinate data of any dangerous terrain location, the first three-dimensional coordinate data and the second three-dimensional coordinate data are connected to form a line segment, and the angle between the straight line and the line segment is determined as the angle deviation. The angle formed can be the same as the target hiking direction or opposite to the target hiking route. Therefore, the value range of the angle deviation is 0 to 90°. Under the same distance deviation, the smaller the angle deviation, the easier it is for outdoor users to deviate from the target hiking route and reach the dangerous terrain location.

[0065] The specific calculation is performed according to the following formula (1): Among them, P is the reference occurrence probability, D is the distance deviation, A is the angle deviation, C is a constant, and k is a constant used to control the influence of the angle deviation on the reference occurrence probability. Among them, the distance deviation D is inversely proportional to the reference occurrence probability P, and the angle deviation A is inversely proportional to the reference occurrence probability.

[0066] See Figure 5 , Figure 5 by Figure 4 The dangerous terrain distribution is based on the last historical positioning information. The distance deviation between the steep slope and the target hiking direction is θ1, the distance deviation between the rapids area and the target hiking direction is θ2, and the distance deviation between the easy-to-get-lost area and the target hiking direction is θ3, θ2<θ1<θ3.

[0067] If d1=1000m, d2=4000m, d3=1500m, θ1=45°, θ2=20°, θ3=60°, C=1000, k=90, according to the above formula (1), the reference probability of falling accident corresponding to the steep slope is P1=0.606, the reference probability of water flow impact accident corresponding to the rapids area is P2=0.2, and the reference probability of getting lost accident corresponding to the easy-to-get-lost area is P3=0.342. Therefore, the search and rescue order of steep slope, rapids area, and easy-to-get-lost area is steep slope, easy-to-get-lost area, and rapids area.

[0068] It can be seen that in this embodiment, it is first determined whether the dangerous terrain within the reference search and rescue range passes through the target hiking route. If it passes, it indicates that the reference probability of the corresponding accident type is relatively high, and it is directly assigned to the first preset threshold; if it does not pass, the reference probability of occurrence is determined based on the distance deviation and angle deviation between the last historical positioning information and the location of each dangerous terrain, wherein the distance deviation and angle deviation are both inversely proportional to the reference probability of occurrence. Through the above calculations, the reference probability of occurrence of each type of accident can be accurately calculated, and the search and rescue team can more reasonably allocate human and material resources to improve the efficiency of search and rescue.

[0069] In some embodiments, determining the reference probability of occurrence of the heatstroke accident or the hypothermia accident based on the temperature, the humidity, and the wind speed includes: obtaining a pre-stored risk factor for the heatstroke accident or the hypothermia accident based on the relationship between the temperature and a preset temperature, the risk factor including a temperature factor, a humidity factor, and a wind speed factor, and the risk factor is used to characterize the degree of influence of temperature, humidity, and wind speed on heatstroke or hypothermia; determining the reference probability of occurrence of the heatstroke accident or the hypothermia accident based on the temperature, the humidity, the wind speed, and the risk factor.

[0070] Among them, the server determines whether to use the heat stroke accident risk factor or the hypothermia accident risk factor based on the relationship between the temperature information of the reference search and rescue range and the preset temperature, and then calculates the reference occurrence probability based on the weights corresponding to the temperature factor, humidity factor, and wind speed factor. Specifically:

[0071] Reference probability of heat stroke accident Pheat=0.3*T1_f+0.4*H1_f+0.3*W1_f;

[0072] The reference probability of occurrence of hypothermia accident Pcold=0.3*T2_f+0.4*H2_f+0.3*W2_f;

[0073] If the temperature is greater than the first preset temperature, for example, 32°C, a heat stroke accident risk factor is used, including a first temperature factor T1_f=(T 1-32) / 10 (T 1>32°C), a first humidity factor H1_f=(H 1-60) / 20 (H1>60%), and a first wind speed factor W1_f=(5-W1) / 5 (W1<5km / h);

[0074] If the temperature is lower than the second preset temperature, for example 10°C, the hypothermia accident risk factor is used, including the second temperature factor T2_f=(10-T2) / 10 (T2<10°C), the second humidity factor H2_f=(H2-70) / 30 (H 2>70%), and the second wind speed factor W2_f=(W 2-10) / 10 (W2>10km / h).

[0075] Step S206: The server determines a target search and rescue range corresponding to each accident type according to the accident type, and determines a search and rescue order for each target search and rescue range according to a reference occurrence probability of each accident type.

[0076] In some embodiments, determining the target search and rescue range corresponding to each type of accident based on the type of accident includes: determining a range to be searched and rescued corresponding to the type of accident within the reference search and rescue range; determining a derivative search and rescue range of the type of accident outside the reference search and rescue range based on the type of accident and the terrain information; and determining the target search and rescue range corresponding to the type of accident based on the range to be searched and the derivative search and rescue range.

[0077] Among them, if the type of accident is one or more of heatstroke, hypothermia, and getting lost, the corresponding search and rescue range is determined as the reference search and rescue range, and the search and rescue range for heatstroke and hypothermia accidents is directly determined according to the existing technology.

[0078] Among them, if the accident type is a fall accident, drowning accident, or water impact accident, the dangerous terrain range corresponding to the accident is determined as the search and rescue range; the derived search and rescue range is determined based on the terrain changes and the direction of the water flow. In these three types of accidents, once in distress, the movement range of outdoor users may exceed the reference search and rescue range. The specific range that exceeds can be determined by the terrain changes and the direction of the water flow. For example, if an outdoor user is washed away by the water flow, he or she will most likely go down the river; if an outdoor user slips, he or she will most likely be in the entire slope from the landing to the foot of the mountain.

[0079] It can be seen that in this embodiment, the specific search and rescue scope is determined according to the type of accident. The search and rescue scope includes the scope to be searched and rescued and the derived search and rescue scope. The key search and rescue scope can be effectively determined from the entire reference search and rescue scope, thereby improving the rationality and accuracy of the search and rescue scope planning.

[0080] Step S207: The server outputs each target search and rescue range and the corresponding search and rescue order.

[0081] Among them, the server sends the target search and rescue range and the corresponding search and rescue order to the geographic information mapping system. The geographic information mapping system draws a search and rescue map based on the target search and rescue range and search and rescue order received for each type of accident, so that the rescue team members of the emergency command center can determine it. After determination, the rescue mission will be carried out according to the search and rescue map.

[0082] If the accident type is determined to be one or more of a fall, drowning, water impact, or getting lost, see Figure 6 The search and rescue range corresponding to each accident type is within the reference search and rescue range. Figure 6 For the designated areas, the rapids area also includes a derived search and rescue range in addition to the reference search and rescue range. The target search and rescue range of the rapids area is the sum of the search and rescue range to be searched and rescued. According to the reference occurrence probability of each area, the search and rescue order of cliffs, steep slopes, areas prone to getting lost, deep water areas, and rapids areas is determined as cliffs and deep water areas as the first order, steep slopes as the second order, areas prone to getting lost as the third order, and rapids as the fourth order.

[0083] Furthermore, when the outdoor user is still not found after searching the above-mentioned areas, a search is conducted on the remaining areas within the reference search and rescue range.

[0084] If the accident type is determined to be a heat stroke accident or a hypothermia accident, see Figure Figure 7 , determine the search and rescue scope of each rescue group within the reference search and rescue scope, Figure 7 There are 8 rescue teams, each rescue team follows Figure 7 Search and rescue within the range shown.

[0085] It should be noted that the specific implementation process of this embodiment can refer to the specific implementation process described in the above method embodiment, which will not be described here.

[0086] The above embodiment introduces the intelligent processing method for status messages from the perspective of the method flow. The embodiment of the present application can divide the electronic device into functional units according to the method example. For example, each functional unit can be divided corresponding to each function, or two or more functions can be integrated into one processing unit. The integrated unit can be implemented in the form of hardware or in the form of a software functional unit. It should be noted that the division of units in the embodiment of the present application is schematic and is only a logical function division. There may be other division methods in actual implementation.

[0087] The following is an embodiment of the device of the present application, which is used to execute the method implemented by the method embodiment of the present application. Figure 8 , Figure 8 A functional unit structure block diagram of an intelligent processing device for trajectory information provided in an embodiment of the present application, such as Figure 8 As shown, the intelligent processing device 8 is applied to a server of an emergency search and rescue system, and the emergency search and rescue system also includes a Beidou positioning device for outdoor users. The intelligent processing device 8 includes:

[0088] The receiving unit 801 is used to periodically obtain the positioning information of the Beidou positioning device, detect the loss of connection event according to the positioning information, and obtain multiple historical positioning information of the Beidou positioning device;

[0089] The processing unit 802 is configured to determine an average moving speed of the outdoor user according to the plurality of historical positioning information; determine a reference search and rescue range according to the last historical positioning information and the time information carried therein, and the average moving speed;

[0090] The receiving unit 801 is used to obtain terrain information and meteorological information within the reference search and rescue range; and determine the dangerous terrain or extreme weather within the reference search and rescue range according to the terrain information and the meteorological information;

[0091] The processing unit 802 is used to determine the possible accident types and their corresponding reference occurrence probabilities according to the dangerous terrain or the extreme weather; and determine the target search and rescue range corresponding to each accident type according to the accident types; and determine the search and rescue order of each target search and rescue range according to the reference occurrence probability of each accident type;

[0092] The sending unit 803 is used to output each target search and rescue range and the corresponding search and rescue order.

[0093] It can be seen that in the embodiment of the present application, the server periodically obtains the positioning information of the Beidou positioning device, detects the loss of connection event according to the positioning information; obtains multiple historical positioning information of the Beidou positioning device, and determines the average moving speed of the outdoor user according to the multiple historical positioning information; determines the reference search and rescue range according to the last historical positioning information and the time information and average moving speed it carries; obtains the terrain information and meteorological information within the reference search and rescue range; determines the dangerous terrain or extreme weather existing in the reference search and rescue range according to the terrain information and meteorological information; determines the possible types of accidents and their corresponding reference probability of occurrence according to the dangerous terrain or extreme weather; determines the target search and rescue range corresponding to each type of accident according to the type of accident, and determines the search and rescue order of each target search and rescue range according to the reference probability of occurrence of each type of accident; outputs each target search and rescue range and the corresponding search and rescue order. Therefore, in the present application, the possible types and probabilities of accidents are determined by combining the historical positioning information with the terrain and meteorological information, and the corresponding target search and rescue range and search and rescue order are determined according to the types and probabilities of accidents. Compared with the method of determining the search and rescue range only according to the positioning information of outdoor users in the prior art, the rationality and accuracy of the search and rescue range planning can be improved, and the search and rescue efficiency can be effectively improved, and the waste of resources can be reduced.

[0094] In some embodiments, the processing unit 802 determines a reference search and rescue range based on the last historical positioning information, the time information it carries, and the average moving speed, including: determining a search and rescue distance based on the time information and the average moving speed; generating the reference search and rescue range with the last historical positioning information as the center and the search and rescue distance as the radius.

[0095] In some embodiments, the terrain information includes slope, surface water flow and direction, and terrain complexity, and the meteorological information includes temperature, humidity, precipitation, and wind speed; the processing unit 802 determines the dangerous terrain or extreme weather within the reference search and rescue range based on the terrain information and the meteorological information, including: determining a first dangerous terrain based on the relationship between the slope and a preset slope, the first dangerous terrain including cliffs and steep slopes; determining a second dangerous terrain based on the surface water flow and direction, the precipitation, and preset water flow information, the second dangerous terrain including deep water areas and rapids areas; determining a third dangerous terrain based on the terrain complexity, the third dangerous terrain including an easy-to-get-lost area; determining the extreme weather based on the temperature and the precipitation, the extreme weather including high temperature, low temperature, and heavy rain.

[0096] In some embodiments, the processing unit 802 determines at least one possible type of accident and its corresponding reference probability of occurrence based on the dangerous terrain or the extreme weather, including: determining that the type of accident corresponding to the first dangerous terrain includes a falling accident; determining that the type of accident corresponding to the second dangerous terrain includes a drowning accident and a water impact accident; determining that the type of accident corresponding to the third dangerous terrain includes a getting lost accident; determining the target hiking route of the outdoor user based on the multiple historical positioning information; determining the reference probability of occurrence of the falling accident, the drowning accident, the water impact accident, and the getting lost accident based on the position deviation between the location of the dangerous terrain and the target hiking route; determining that the type of accident corresponding to the extreme weather includes a heat stroke accident and a hypothermia accident; determining the reference probability of occurrence of the heat stroke accident and the hypothermia accident based on the temperature, the humidity, and the wind speed.

[0097] In some embodiments, the processing unit 802 determines the reference occurrence probability of the falling accident, the drowning accident, the water impact accident, and the getting lost accident according to the position deviation between the location of the dangerous terrain and the target hiking route, including: if part of the target hiking route within the reference search and rescue range passes through the location of the dangerous terrain, then the reference occurrence probability is determined to be a first preset threshold; if the part of the target hiking route does not pass through the location of the dangerous terrain, then the distance deviation between the last historical positioning information and the position information of each dangerous terrain is determined according to the last historical positioning information and the position information of each dangerous terrain; the target hiking direction of the outdoor user is determined according to the multiple historical positioning information; based on the last historical positioning information, the angle deviation between the target hiking direction and each dangerous terrain is determined; and the reference occurrence probability is determined according to the distance deviation and the angle deviation.

[0098] In some embodiments, the processing unit 802 determines the reference occurrence probability of the heatstroke accident or the hypothermia accident based on the temperature, the humidity, and the wind speed, including: obtaining the pre-stored risk factor of the heatstroke accident or the hypothermia accident based on the relationship between the temperature and the preset temperature, the risk factor including the temperature factor, the humidity factor, and the wind speed factor, and the risk factor is used to characterize the influence of temperature, humidity, and wind speed on heatstroke or hypothermia; determining the reference occurrence probability of the heatstroke accident or the hypothermia accident based on the temperature, the humidity, the wind speed and the risk factor.

[0099] In some embodiments, the processing unit 802 determines a target search and rescue range corresponding to each type of accident based on the type of accident, including: determining a range to be searched and rescued corresponding to the type of accident within the reference search and rescue range; determining a derivative search and rescue range of the type of accident outside the reference search and rescue range based on the type of accident and the terrain information; and determining the target search and rescue range corresponding to the type of accident based on the range to be searched and the derivative search and rescue range.

[0100] It can be understood that since the method embodiment and the device embodiment are different presentation forms of the same technical concept, the content of the method embodiment part in this application should be synchronously adapted to the device embodiment part and will not be repeated here.

[0101] An embodiment of the present application provides a computer-readable storage medium having a computer program / instruction stored thereon. When the computer program / instruction is executed by a processor, the steps of the method described in any possible embodiment are implemented.

[0102] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0103] In the several embodiments provided in the present application, it should be understood that the disclosed methods, devices and systems can be implemented in other ways. For example, the device embodiments described above are merely schematic; for example, the division of the unit is only a logical function division, and there may be other division methods in actual implementation; for example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0104] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0105] In addition, each functional unit in each embodiment of the present application can be integrated into a processing module, or each unit can be physically included separately, or two or more units can be integrated into one unit. The above integrated unit can be implemented in the form of hardware or in the form of hardware plus software functional units.

[0106] The above-mentioned integrated unit implemented in the form of a software functional unit can be stored in a computer-readable storage medium. The above-mentioned software functional unit is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform some steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: a USB flash drive, a mobile hard disk, a magnetic disk, an optical disk, a volatile memory or a non-volatile memory. Among them, the non-volatile memory can be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM) or a flash memory. The volatile memory can be a random access memory (RAM), which is used as an external cache. By way of example but not limitation, many forms of random access memory (RAM) are available, such as static RAM (SRAM), dynamic random access memory (DRAM), synchronous DRAM (SDRAM), double data rate synchronous dynamic random access memory (double data rate SDRAM, DDR SDRAM), enhanced synchronous dynamic random access memory (enhanced SDRAM, ESDRAM), synchronous link dynamic random access memory (synchlink DRAM, SLDRAM) and direct memory bus random access memory (directrambus RAM, DR RAM) and other media that can store program code.

[0107] Although the present application is disclosed as above, the present application is not limited thereto. Any person skilled in the art can easily think of changes or substitutions without departing from the spirit and scope of the present application, and can make various changes and modifications, including the combination of the above-mentioned different functions and implementation steps, including software and hardware implementation methods, all of which are within the scope of protection of the present application.

Claims

1. An intelligent processing method for trajectory information, characterized in that: A server applied to an emergency search and rescue system, wherein the emergency search and rescue system further includes a Beidou positioning device for outdoor users, and the method further includes: Periodically acquiring positioning information of the Beidou positioning device, and detecting a loss of connection event according to the positioning information; Acquire multiple historical positioning information of the Beidou positioning device, and determine the average moving speed of the outdoor user according to the multiple historical positioning information; determine a reference search and rescue range according to the last historical positioning information and the time information it carries, and the average moving speed; Acquire terrain information and meteorological information within the reference search and rescue range; determine the dangerous terrain or extreme weather within the reference search and rescue range based on the terrain information and the meteorological information; Determining possible accident types and their corresponding reference occurrence probabilities according to the dangerous terrain or the extreme weather; Determining a target search and rescue range corresponding to each accident type according to the accident type, and determining a search and rescue order for each target search and rescue range according to a reference occurrence probability of each accident type; Output each target search and rescue range and the corresponding search and rescue order.

2. The method according to claim 1, characterized in that The determining of the reference search and rescue range according to the last historical positioning information and the time information carried by it and the average moving speed includes: Determine the search and rescue distance according to the time information and the average moving speed; The reference search and rescue range is generated with the last historical positioning information as the center and the search and rescue distance as the radius.

3. The method according to claim 1 or 2, characterized in that: The terrain information includes slope, surface water flow and direction, and terrain complexity; the meteorological information includes temperature, humidity, precipitation, and wind speed; Determining the dangerous terrain or extreme weather within the reference search and rescue range according to the terrain information and the meteorological information includes: Determine a first dangerous terrain according to the magnitude relationship between the slope and a preset slope, wherein the first dangerous terrain includes a cliff and a steep slope; Determine a second dangerous terrain according to the surface water flow and direction, the precipitation, and preset water flow information, wherein the second dangerous terrain includes a deep water area and a rapids area; Determine a third dangerous terrain according to the terrain complexity, wherein the third dangerous terrain includes an easy-to-get-lost area; The extreme weather is determined according to the temperature and the precipitation, and the extreme weather includes high temperature, low temperature, and heavy rain.

4. The method according to claim 3, characterized in that The determining of at least one possible accident type and its corresponding reference probability of occurrence according to the dangerous terrain or the extreme weather includes: Determining that the accident type corresponding to the first dangerous terrain includes a falling accident; Determining that the accident types corresponding to the second dangerous terrain include drowning accidents and water flow impact accidents; Determining that the accident type corresponding to the third dangerous terrain includes a lost accident; Determine a target hiking route of the outdoor user according to the plurality of historical positioning information; Determine the reference occurrence probability of the falling accident, the drowning accident, the water flow impact accident, and the getting lost accident according to the position deviation between the location of the dangerous terrain and the target hiking route; Determine that the accident types corresponding to the extreme weather include heat stroke accidents and hypothermia accidents; The reference occurrence probabilities of the heat stroke accident and the hypothermia accident are determined according to the temperature, the humidity, and the wind speed.

5. The method according to claim 4, characterized in that The determining of the reference occurrence probabilities of the falling accident, the drowning accident, the water flow impact accident, and the getting lost accident according to the position deviation between the location of the dangerous terrain and the target hiking route includes: If part of the target hiking route within the reference search and rescue range passes through the location of the dangerous terrain, determining the reference occurrence probability to be a first preset threshold; If the part of the target hiking route does not pass through the location of the dangerous terrain, determining the distance deviation between the last historical positioning information and each dangerous terrain according to the last historical positioning information and the location information of each dangerous terrain; Determining a target hiking direction of the outdoor user according to the plurality of historical positioning information; Taking the last historical positioning information as a base point, determining the angle deviation between the target hiking direction and each dangerous terrain; The reference occurrence probability is determined according to the distance deviation and the angle deviation.

6. The method according to claim 4, characterized in that The determining of the reference occurrence probability of the heat stroke accident and the hypothermia accident according to the temperature, the humidity, and the wind speed includes: According to the relationship between the temperature and the preset temperature, a pre-stored risk factor for the heat stroke accident or the hypothermia accident is obtained, wherein the risk factor includes a temperature factor, a humidity factor, and a wind speed factor, and the risk factor is used to characterize the influence of temperature, humidity, and wind speed on heat stroke or hypothermia; A reference occurrence probability of the heat stroke accident or the hypothermia accident is determined according to the temperature, the humidity, the wind speed and the risk factor.

7. The method according to claim 1 or 2, characterized in that: Determining the target search and rescue scope corresponding to each type of accident according to the type of accident includes: Determine a search and rescue range corresponding to the accident type within the reference search and rescue range; Determine, according to the accident type and the terrain information, a derived search and rescue range of the accident type outside the reference search and rescue range; The target search and rescue range corresponding to the accident type is determined according to the to-be-searched and rescued range and the derived search and rescue range.

8. An intelligent processing device for trajectory information, characterized in that: A server applied to an emergency search and rescue system, wherein the emergency search and rescue system also includes a Beidou positioning device for outdoor users, and the intelligent processing device also includes: A receiving unit, configured to periodically obtain positioning information of the Beidou positioning device, detect a loss of connection event according to the positioning information, and obtain multiple historical positioning information of the Beidou positioning device; A processing unit, configured to determine an average moving speed of the outdoor user according to the plurality of historical positioning information; and determine a reference search and rescue range according to the last historical positioning information and the time information carried therein, and the average moving speed; The receiving unit is used to obtain terrain information and meteorological information within the reference search and rescue range; and determine the dangerous terrain or extreme weather existing within the reference search and rescue range according to the terrain information and the meteorological information; The processing unit is used to determine the possible accident types and their corresponding reference occurrence probabilities according to the dangerous terrain or the extreme weather; and determine the target search and rescue range corresponding to each accident type according to the accident types; and determine the search and rescue order of each target search and rescue range according to the reference occurrence probability of each accident type; The sending unit is used to output each target search and rescue range and the corresponding search and rescue order.

9. An emergency search and rescue system, characterized in that: It includes a server, a Beidou positioning device carried by outdoor users, and a geographic information mapping system. The server is used to execute the step instructions in the method as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program or instructions, and when the computer program or instructions are executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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