CN113435833B

CN113435833B - City three-dimensional model collaborative management method and system for smart community

Info

Publication number: CN113435833B
Application number: CN202110651680.3A
Authority: CN
Inventors: 刘俊伟
Original assignee: Terra It Technology Beijing Co ltd
Current assignee: Terry Digital Technology Beijing Co ltd
Priority date: 2021-06-11
Filing date: 2021-06-11
Publication date: 2022-05-03
Anticipated expiration: 2041-06-11
Also published as: CN113435833A

Abstract

The invention provides a city three-dimensional model collaborative management method of a smart community, which is characterized by comprising the steps of S1, setting a server S and a monitoring center C, setting a main monitoring center CC and a server SS of the main monitoring center CC, and setting a city smart community site three-dimensional model; s2, the mobile terminals of various personnel and users are equipped; a device capable of recording whether the person is located in the intelligent community site or not is arranged in the intelligent community site; s3, establishing an artificial intelligence model AI for searching the urban intelligent community site; s4, searching for smart community sites at real time and fixed points in the three-dimensional model established in the step S1 by using the AI model established in the step S3 and the app established in the step S2, and marking the smart community sites in the three-dimensional model; s5, when finding the site J of the urban intelligent community, the three-dimensional model established in the step S1 can be communicated with the site J, so that the personnel can reach the fixed point for medical aid service. The method can provide the same coordinated management and timely and visible emergency treatment scheme for urban medical care and sanitary work, other property, business service and smart home.

Description

City three-dimensional model collaborative management method and system for smart community

Technical Field

The invention relates to a cooperative management method of a smart community, in particular to a three-dimensional model cooperative management method and a three-dimensional model cooperative management system of the smart community, and belongs to the field of site management.

Background

With the development of population aging forms, the smart community should also be more able to afford the health and prevention of the middle-aged and the elderly. However, in the existing situations, such as a nursing home, an elderly college, hospitals and nursing centers at all levels, as well as schools of social enterprises and public institutions with scattered sanitation rooms, and pharmacies and drug stores in cities, the smart community sites generally have respective management schemes, and how to cooperate is not considered.

When problems occur, such as accidents like old people stroke, heart attack, faint and fall of unknown reasons, and industrial accidents, the enterprise and public institutions can only think of contacting hospitals at all levels for rescue and treatment, and usually describe the positions and the situations of patients in the places in the telephone communication, sometimes the positions cannot be known exactly, and the time is increased for thinking about where the help-seeking person is. These details all cause untimely times and potentially over the rescue prime period. Although a relatively perfect management system is arranged in each level of hospital care center, and intellectualization is kept up to the latest in recent years, sudden accidents of middle-aged and elderly people in the society and other people are not actively monitored, so that medical treatment and treatment services are only passively provided. While the scattered health rooms and urban prescriptions and pharmacies are not involved in active discovery and monitoring, but only provide passive primary medical and pharmaceutical products to patients, and thus the resources are not well utilized.

The intelligent community not only provides convenient and timely service for community members by utilizing the internet or even the internet of things technology in the aspect of medical treatment, but also needs to provide service from other aspects of life, such as property, business service (such as express delivery stations, online shopping physical stores, traditional physical stores, food wholesale and dish markets), and intelligent home.

Therefore, in the prior art, various intelligent community sites cannot coordinate services of various social aspects into one system on the whole, so that a timely, visible and efficient service management scheme cannot be provided for specific objects such as middle-aged and old people, emergent accident crowds and daily life, and prediction work cannot be well done through big data analysis.

Disclosure of Invention

In order to solve the problem that the intelligent community sites lack resource integration in the passive and scattered management situation in the prior art, the invention considers the following solution: firstly, carry out the mark and the location of map formula to information such as all kinds of wisdom community sites and all kinds of medical treatment in the city, nurse, the state of an illness, the prevention, the property, business service, wisdom house, the second, calculate through artificial intelligence and find nearest all kinds of wisdom community site service sites through the crowd of being concerned with (like old person and disease in endowment site and the medical site, because of public business poor, and the crowd that needs accomplish special operation, and ordinary socioer) place and realize the communication, thirdly, realize the daily cooperative management of the visual wisdom community site in city.

The various intelligent community sites comprise but are not limited to various endowment medical and health institutions, such as sites and organizations related to medical, endowment, professional medical and beauty and health care services, including hospitals at all levels, nursing centers, various professional medical and beauty and health care sites, social enterprise and public institutions, scattered toilets in schools, pharmacies and drug stores at all levels in cities, and service office places in the aspects of property industry, business service and intelligent home furnishing. Personnel in the smart community site refer to working or temporary workers in the smart community site, and can provide various professional services for the society. For various medical and health institutions for the aged, including but not limited to doctors with qualified medical sites, trainees, nurses, doctors in all levels of pharmacy and pharmacy, and various scattered persons (free medical personnel with qualified certification) who can provide certain medical treatment; for the property, business service and smart home industries, the smart community sites respectively comprise a property office building, an express delivery site, an online shopping entity store, a traditional entity store, food wholesale, a vegetable market and the like, and a house where each community owner is located. The user include all kinds of wisdom community website outsiders, total monitoring center CC staff includes the sampling personnel for AI modeling at least. The management in the collaborative management includes emergency and daily management, and the prevention work is done according to the data for scientific research and analysis. The fixed point refers to the current geographic position of a person, a worker or a user. The app generally refers to an application program installed on an intelligent mobile terminal such as a mobile phone, and may also be application software installed on a desktop computer.

Therefore, the invention provides a city three-dimensional model collaborative management method of an intelligent community site, which is characterized by comprising the following steps:

s1, a server S and a monitoring center C are set in the smart community site, a main monitoring center CC and a server SS of the main monitoring center CC are set, and a city three-dimensional model of the city smart community is set;

s2, arranging mobile terminals provided with the urban three-dimensional model collaborative management application program app of the smart community for personnel and external community users in the smart community site; providing a device capable of recording whether the person is currently located in the intelligent community site, wherein the device is used for indicating whether the community is in a state that the person capable of providing service is sufficient;

s3, establishing an artificial intelligence AI model for searching the urban intelligent community site;

s4 utilizes the AI model established in step S3 and the app of step S2 to realize real-time fixed-point finding of the intelligent community sites in the three-dimensional model established in step S1 and marking in the three-dimensional model.

In one embodiment, step S4 is followed by:

when finding the site J of the urban intelligent community, the S5 can contact the site J through the three-dimensional model communication established in the step S1, so that the person can attend to the fixed point for service.

About S1

The S1 specifically includes:

s1-1, setting an independent server S and an independent monitoring center C in various intelligent community sites, setting a main monitoring center CC to perform real-time processing and analysis on data of the independent server S and the independent monitoring center C, and performing cooperative management on various intelligent community sites, wherein a server SS of the main monitoring center CC is used for three-dimensional model modeling and AI model modeling;

s1-2, establishing an urban road network model of the artificial intelligent network;

s1-3, building a city building network model of the artificial intelligent network;

s1-4, fusing the models established in the steps S1-2 and S1-3 to form a two-dimensional model of the urban road and the urban building

；

S1-5 two-dimensional model of urban road and building based on step S1-4

Constructing the unified three-dimensional model

。

Wherein, the step S1-2 specifically includes:

s1-2-1, establishing an urban geographic coordinate system E, wherein an XOY plane represents the ground, generating road continuous nodes by a node generator comprising an encoder and a decoder by utilizing an RNN recurrent neural network algorithm based on urban remote sensing images, connecting the two nodes before and after generation in the generation process, inputting the new generated nodes into the node generator to continuously generate new nodes, continuously connecting the generated new nodes, and circularly connecting the nodes to form a road network;

s1-2-2, widening all lines in a road network according to a preset width w to form road width lines with a certain width, and accordingly obtaining an urban road network model, wherein w is widened according to the corresponding road width in the remote sensing image, preferably, w is 0.5-1.5 times of the average value of all road widths in the remote sensing image, more preferably, 0.5-1 times of motor vehicle roads and non-motor vehicle roads, and 1-1.5 times of pedestrian roads. It is understood that a pedestrian road shall include a road that can be traveled by a person or a road vehicle (e.g., an ambulance, a volunteer service vehicle, etc.) within an area of a building complex such as a street in a city, a sidewalk beside a non-motorized lane, a cell or a factory building.

In one embodiment, the widening is done on both sides with the lines forming the road network as the central axis.

Step S1-3 specifically includes:

s1-3-1, based on the urban remote sensing image in the step S1-2-1, extracting a series of feature maps obtained by different convolutional layers by using a VGG-16 algorithm without an added layer as a CNN main network, wherein the feature maps are 1/2-1/10, preferably 1/8, of the size of an input image;

meanwhile, a characteristic pyramid is constructed by using different layers of a CNN main network through an image pyramid algorithm FPN, and the frames of a plurality of buildings are predicted,

s1-3-2, for each building in the plurality of buildings, obtaining a local feature map F of the building by using a RoIAlign algorithm on the feature maps obtained by the series of different convolutional layers and the corresponding frame of the building;

s1-3-2, forming a polygonal boundary cover M by adopting convolution layer processing on the local feature map F of each building, and then forming a plurality of predicted vertexes P of the boundary cover M by utilizing convolution layer processing; wherein polygonal bounding box M refers specifically to the vertical projection of the XOY plane describing the building in E;

s1-3-3, selecting the point with the highest probability in P as the starting point

Performing multi-step prediction by using a multi-layer RNN algorithm of convolution long-short term memory ConvLSTM to obtain multiple prediction points

(t is step number) closed building boundary polygons to form an urban building network model;

s1-3-4 representing index points of the building for intersection of longest and next longest diagonal lines in each polygon boundary

And arranging a road guide point at every preset distance on the road network

And integrating the building index points and the road index points into an index library K (each index point in the index library K is represented by a coordinate corresponding to E).

Step S1-4 specifically comprises the step of fusing the models established in the steps S1-2 and S1-3 according to the relative coordinate positions of the buildings and the roads in the remote sensing image in the urban geographic coordinate system E to form a two-dimensional model of the urban roads and the buildings

；

S1-5 presetting the two-dimensional model

Representing the height of the building layer by the polygon boundaries in the Z coordinate H under E, marking the building index points of various intelligent community sites with geometric figures with different colors to form a three-dimensional model of the urban intelligent community site

(ii) a The mobile terminal can inquire a specified urban smart community site through the app and can display a corresponding three-dimensional model

Displaying corresponding geometric figure marks and site names, geographic coordinates of the sites and names of roads of the sites; the mobile terminal, the monitoring center C of various smart community sites and the main monitoring center CC interface can be manually clicked respectively, and a cursor moves to the geometric figure marks with different colors or is clicked by the cursor to display and/or enter the smart community service information interface, realize a service reservation function, realize emergency contact by pressing the emergency contact function for a long time, and/or register or enter a smart management system in the corresponding site or view other smart community sites nearby. Preferably, the long press time is 2-4 seconds and a confirmation dialog box pops up.

It should be appreciated that the smart community service information interface can be viewed or accessed for use by the app respective application module alone. The different colors are used to distinguish between the site buildings and the non-site buildings, and may be the same as or different from the first color or gray scale or the second color or gray scale defined in the later detection circle forming process.

The intelligent community service information comprises registration information, pricing and charging information, medical equipment (such as an X-ray machine, a CT (computed tomography), an NMR (nuclear magnetic resonance) machine, an expiration detection machine and the like) queuing reminding information, current personnel information, hospitalization or sitting room information, medicine use information, other nearby intelligent community site information, medical records of patients and nursed objects, medical examination data and records and current health data in the aspect of medical service. The current personnel information comprises the brief introduction of personnel, the schedule of sitting treatment, whether sitting treatment is currently performed or not, whether emergency tasks are performed or not when the personnel go out and the like. The medicine use information comprises medicine use methods, cautions, information for reminding the use of the medicine, and information for re-diagnosis reminding or on-line consultation and re-diagnosis communication and the like. And the other properties, business services and smart homes are provided with corresponding service information for reference according to the characteristics of various industries.

About S2

The step S2 specifically includes:

s2-1, arranging mobile terminals for personnel in the smart community site and staff of a main monitoring center CC, installing a professional version of a city three-dimensional model collaborative management application program app of the smart community in the mobile terminals, arranging mobile terminals for users, and installing a user version of the city three-dimensional model collaborative management application program app of the smart community in the mobile terminals; the professional app version can register or enter an intelligent management system in a corresponding site, and the user app version only keeps displaying or enters an intelligent community service information interface and realizes the functions of service reservation and emergency contact; wherein, the CC staff of the main monitoring center is equipped with a mobile terminal for AI modeling;

s2-2, a face recognition device is installed on each entrance door in the smart community site, when people go out, the people are shown to have gone out of the site through face recognition, and people with a real-time emergency task are recorded and reduced, or an emergency prompt information module is installed on the app, rescue arrangement and prompt information are sent to the app through a monitoring center C or a main monitoring center CC, and the people click the emergency prompt information module to record that the clicked people start to execute the emergency task, so that people with a real-time emergency task are reduced in the site; the monitoring center C and the main monitoring center CC store the records and the records are stored in the three-dimensional model

Correspondingly, whether travel is carried out or not in the intelligent community service informationA record of the emergency task is performed thereby indicating whether the site is in a state of sufficiency of personnel available for service.

The emergency contact function and the emergency prompt information module may be the same or different app function buttons.

About S3

The S3 specifically includes:

s3-1, positioning an initial current geographic position by the aid of a mobile terminal equipped by staff of the CC at preset intervals, and finding out a corresponding three-dimensional model in the indexing library K according to the current geographic position

The road index point with the shortest straight line distance with the road index point; preferably, the predetermined time period is between 1 day and 1 month;

s3-2, using the road sign guide point with the shortest straight line distance as the center of circle, in the three-dimensional model

Finding the geometric figure marks with different colors representing the smart community site buildings in a circle with a preset radius R and acquiring whether the personnel corresponding to each mark are in sufficient state; if no different color geometric figure mark is found which satisfies the sufficient state of the person, enlarging the radius R by a specified step length until the found; the specified step length is 50-5000 m;

s3-3, according to the circle center and the geometric figure marks with different colors meeting the sufficient state of people in the R range, finding the geometric figure mark which is closest to the circle center in a straight line distance and meets the sufficient state of people, and marking the geometric figure mark which is closest to the straight line distance and meets the sufficient state of people as a first color or gray scale, wherein the geometric figure marks which represent other intelligent community buildings with different colors in the circle range are unified as a second color or gray scale, and other areas in the remaining circles are unified as a third color or gray scale, so that a detection circle is formed;

s3-4 urban three-dimensional model

Repeating the steps S3-1-S3-3 while continuously changing the new geographic position to obtain a plurality of detection circles, preferably, the number of the detection circles is 1000-; wherein the number ratio of the plurality of detection circles divided into the training set and the verification set is 10:1-1: 1.

S3-5, establishing an artificial intelligence model by the multiple detection circles and the searched urban intelligent community site J according to the geographic coordinates of the circle centers of the detection circles under E. Preferably, the AI model includes a convolutional neural network CNN, an SVM support vector machine, and generates a countermeasure network GAN. And obtaining a final AI model through the training model and the model verification.

It can be understood that, because the samples of the model training are samples of whether the person meets the sufficient state in the long-term real-time scene, and are not samples in which various sufficient states are randomly assumed, the obtained AI model can more truly improve the hit finding efficiency. If the sampling is random to assume sufficient state, the amount of training is significantly increased. This is because most of the samples come from three-dimensional models that do not truly reflect the abundant state of the person

Real-time distribution of states.

About S4

The S4 specifically includes:

s4-1, finding the current position by the user through the app, and acquiring the coordinate of the current user under E and acquiring a detection circle O by the app;

s4-2, substituting the coordinates and the detection circle O into the AI model, finding the intelligent community site J and marking the geometric figure with the corresponding color in the three-dimensional model.

About S5

The S5 specifically includes:

when finding out the intelligent community site J of the city, the three-dimensional model established in the step S1 can be clicked

The geometric indicia of (a) is communicatively linked to J to allow the person to rush to the fixed point for service.

In one embodiment, after the step S5, the step S5-1 and the step S5-2 of finding the user by navigation further include the following steps before the person reaches the fixed point, where the step S5 includes:

s5-1, when receiving service information, starting from a corresponding station, identifying a human face and/or clicking the emergency prompt information module when passing through a door in the station, and displaying a navigation route established between a guide point where the current station is located and a road guide point which is closest to the geographical position of the user in a straight line on apps of the personnel and the user, and/or displaying the current position of the personnel starting from the corresponding station;

s5-2 the user prompts the user 'S current location to the person on the app to maintain communication with the person so that the person arrives at the user' S current location accurately;

s5-3 the person uses the navigation route to find the user' S current location.

It will be appreciated that when a person is familiar with a route, he can travel directly to the service site without navigation.

The navigation route establishing method comprises the following steps:

s5-1-1, according to the coordinate position of the index point of the current station building, establishing a straight line segment L between the coordinate position and a target point which is a road index point with the closest straight line distance to the geographic position of a user, and setting a three-dimensional model to be passed by

A navigation planning suggested path is established between two adjacent points in the plurality of intermediate points, and the plurality of intermediate points, the representation symbols of the target point and the navigation planning suggested path are displayed in a personnel mobile terminal or a vehicle driven by personnel;

s5-1-2 follows the displayed representation symbol and the navigation plan suggested path to finish the navigation until the target location.

Setting a straight line segment L between the coordinate position and a target position which is a road index point with the closest straight line distance to the geographic position of the user, wherein the straight line segment L needs to pass through the three-dimensional model

The plurality of intermediate locations in (a) specifically include:

s5-1-1-1, sending the geographic coordinates of the user in the input coordinate system E to the server S at the position, and utilizing the server S to perform three-dimensional modeling

Establishing a straight line segment L between said location in (a) and said target location;

s5-1-1-2 equally dividing the straight line segment L into a plurality of straight line segments pi (i =1,2.. k-1, k is a preset number of parts) in a preset number of parts, for each of which the abscissa and ordinate under E are gradually searched for using a plurality of moving points (2 k for the midpoint, 2 (k-1) for the bisector) moving away from the midpoint or the bisector in directions of both sides of L starting from the midpoint thereof or starting with each bisector of the straight line segment L;

s5-1-1-3, continuously calculating the plurality of moving points under E obtained by the step-by-step search in the step 5-1-1-2 to obtain the distance of the nearby road index point in the index library K, and taking the nearest moving point as a middle point corresponding to each straight line segment pi or each bisector when the distance is the nearest moving point.

The two-side directions are preferably two-side directions parallel to the X or Y axis of E, and may also be directions perpendicular to the straight line segment L, or multiple directions of two-side directions parallel to the X axis and Y axis of E and three-direction perpendicular to the straight line segment L. It will be appreciated that when the straight line segment L is parallel to the X-axis or Y-axis, only two simultaneous searches of the X-axis and Y-axis parallel to E are required. When a multi-directional search is selected, each step of the stepwise search results is an average of the abscissa and ordinate in all directions, and the average includes an arithmetic average or a weighted average.

The invention also provides a city three-dimensional model collaborative management system of the smart community for realizing the method, which is characterized by comprising the following steps: servers S, a monitoring center C, a main monitoring center CC and a server SS of the main monitoring center CC which are arranged in various intelligent community sites, and mobile terminals equipped for personnel, users and staff of the main monitoring center CC in the intelligent community sites, wherein,

the server S is used for receiving the geographic positioning of the user, detecting the circle, providing the intelligent community service information, and receiving the updated and perfect intelligent community service information and three-dimensional model sent by the server SS of the main monitoring center CC

And an AI model;

the monitoring center C is used for receiving the geographical positioning information and the three-dimensional model of the user sent by the server S

And AI model to send site J in three-dimensional model to user mobile terminal

The geometric figure marks the search result, and reports the intelligent community service information and the search result to the main monitoring center CC;

the main monitoring center CC is used for analyzing and processing historical and real-time data in the servers S and the monitoring center C and cooperatively managing each server S and the monitoring center C, wherein the data comprises intelligent community service information, service reservation and emergency contact information, data in an intelligent management system and a three-dimensional model

And an AI model;

the server SS of the main monitoring center CC is used for three-dimensional model modeling and AI model modeling and is used for modeling a three-dimensional model Mod in the server S_3DUpdating the AI model;

the method comprises the steps that an urban three-dimensional model collaborative management application program app of the smart community is installed in mobile terminals equipped by people and users in the smart community site respectively, preferably, a professional version of the urban three-dimensional model collaborative management application program app of the smart community is installed in the mobile terminal for the people, and a user version of the urban three-dimensional model collaborative management application program app of the smart community is installed in the mobile terminal equipped by the users.

The present invention also provides a computer-readable non-transitory storage medium, in which a program that can implement the above-mentioned city three-dimensional model collaborative management method for a smart community site by the operations of the server S, the server SS, and the monitoring center C, and the master monitoring center CC is stored.

It should be noted that the three-dimensional model according to the present invention may be a remote sensing image map-based model or a semantization model.

The intelligent community city three-dimensional model collaborative management method and system have the advantages that the city three-dimensional model collaborative management method and system are based on the city accurate large three-dimensional model, so that data information, daily management and emergency treatment of all sites become overall and coordinated, online medical treatment and information lookup can be visually carried out through the real-time geographic position of the mobile terminal app, and timely traceable medical rescue emergency service is provided.

Drawings

FIG. 1 is a flow chart of a city three-dimensional model collaborative management method of an old-age care medical and health institution of the invention,

FIG. 2 three-dimensional model of example 1

Wherein, marking the index point of the main building of a family rest home in the city

The index circle with the index points of the buildings as the circle centers of the hos of the hospital opposite to the road is marked, the colors of the index circles of the nursing home and the hos of the hospital are different, and the colors of the index circles are different from the colors of the black index circles of other buildings, and in addition, road index points are marked (one point is a road index point)

) And searching for the index point of the home building of the nursing home used by the nearest hospital nearby

Is a partial circumference with the circle center R as the radius,

FIG. 3a is a schematic diagram of the RNN recurrent neural network algorithm process extracted from the urban road network and the urban road network generation process,

FIG. 3b is a schematic diagram of local road network broadening within the circle of the generated urban road network in FIG. 3a,

FIG. 4 is a flow chart of the extraction of the building index points and the multi-layer RNN building boundaries of the convolutional long short term memory ConvLSTM based on the CNN backbone network,

figure 5a is a schematic diagram of a user version of an app displayed in a user smart phone,

FIG. 5b is an interface schematic of a monitoring center C professional version of the app for hospital hos,

figure 5c shows an interface schematic of a nearby courier site open at the point in the user version app schematic shown in the user smart phone;

FIG. 5d is an interface schematic diagram of a nearby express delivery site opened at the midpoint of a professional edition app of a monitoring center C of Hos in Hospital;

FIG. 6 is a schematic diagram of an interface of professional-version app on a CC staff handset in AI modeling in a total monitoring center,

figure 7 is a schematic diagram of a process for detecting circle formation,

FIG. 8 is an interface diagram showing the navigation route of the smart phone of the user and the current location of the ambulance when the emergency doctor visits the landmark 4 after the emergency contact with the hospital J,

FIG. 9 City three-dimensional model of straight line L between intermediate location on app of emergency doctor smartphone and index point 4 as target location

Is shown in (a).

Wherein, the reference numeral, 1 user's smart mobile phone, 2 master control center CC is smart mobile phone for staff, 3AI is the current geographical position of selection or user when modeling, 4 is from AI is the road sign guide point of selection or user's current geographical position straight line distance nearest when modeling, 5AI is the circle of radius R that uses when looking for hospital J when modeling, 6 is the index circle that hospital J building is located, 7 is the index circle that other website building is located, 8 detects the circle, 9 navigation route, 10 emergency doctor or ambulance is located at present position, 11 is different from the caregiver smart mobile phone of another home care hospital of embodiment 1-4, 22 emergency doctor smart mobile phone.

Detailed Description

The following describes a typical embodiment of the intelligent community service in the field of the elderly care.

Example 1

FIG. 1 is a schematic flow chart of a cooperative management method of a city three-dimensional model of an aged care medical and health institution according to the present invention, and FIG. 2 shows an index point of a home building of an aged care hospital

And a hospital hos opposite the road. In fig. 2, each building index point is marked with an index circle as a circle center, and the color of the index circle of the nursing home and the hos of the hospital is different, and is also different from the color of the black index circle of other buildings. In FIG. 2, the road sign points (one of which is

Is a partial circumference with the circle center R as the radius.

The method comprises five steps, namely:

s1, setting a server S and a monitoring center C (not shown in figure 2) in a home building of the nursing home, setting a main monitoring center CC (not shown in figure 2) and a server SS of the main monitoring center CC in other places in a city, and establishing a three-dimensional model of the urban nursing home medical and health institution;

s2, nursing staff in a home building of an old care hospital, family members of the cared old people and emergency doctors in hos of the hospital are all equipped with smart phones provided with urban three-dimensional model collaborative management application apps of the old care medical and health institution; providing an identification device in a hos building gate of a hospital;

s3, establishing an artificial intelligence AI model for searching urban endowment medical and health institutions;

s4, utilizing the AI model established in the step S3 and the app of the step S2 to realize the real-time fixed-point finding of the hos of the hospital in the three-dimensional model established in the step S1 and marking in the three-dimensional model;

s5, when finding out the hos of the hospital, the hos of the hospital can be communicated through the indexing circle of the hos in the three-dimensional model established in the step S1, so that an emergency doctor can rush to the home building of the nursing home to perform medical care on the old.

Wherein the S1 specifically includes:

s1-1, an independent server S and an independent monitoring center C are arranged in the home building of the nursing home, a main monitoring center CC is arranged to process and analyze the data of the independent server S and the independent monitoring center C in real time and carry out cooperative management on various nursing medical and health institutions, and a server SS of the main monitoring center CC is used for three-dimensional model modeling and AI model modeling.

Example 2

Example 1 further includes after S1-1:

；

S1-5 two-dimensional model of urban road and building based on step S1-4

Constructing the three-dimensional model

；

Wherein, step S1-2 specifically includes:

s1-2-1 establishes a city geographic coordinate system E (as shown in FIG. 2), and the XOY plane represents the ground (the X direction is north).

Referring to FIG. 3a, based on the city remote sensing image, using RNN recurrent neural network algorithm, defining step length l (selected from 1-5m according to the total length of the road) and vector direction r as attribute vector V, and using each initial node and K incident path directions

，

The points of (c) are used as input points (K points correspond to K initial attribute vectors with a corresponding start point), K +1 input points and an attribute vector V are input into an encoder, and a decoder generates a new node; in particular for each direction of each starting point

Correspond to the coordinates under E

The attribute vector V corresponding to coordinate increments

WhereintThe sequence number representing the current input point (0 for the start point and 1 for the first new input point), the coordinate and attribute vector V are input to the encoder, and the decoder will emit a new node generated under E

In which

，

. Fig. 3a shows an exemplary road network generation process with 100 node generation cycles at intervals of 20 node generation cycles;

s1-2-2 is a schematic diagram of the local road network widening within the circle in FIG. 3a as shown in FIG. 3 b. And (3) widening the local road network of the graph 3b towards two sides by taking the generated road network line as a central axis according to a preset width w to form a road width line with a certain width, thereby obtaining an urban road network model, wherein the w is 1-1.1 times of the average value of the widths of all roads in the remote sensing image.

Referring to fig. 4, the building of the city building network model of the artificial intelligence network in step S1-3 specifically includes:

s1-3-1, based on the urban remote sensing image in the step S1-2, extracting a series of feature maps obtained by different convolutional layers by using a VGG-16 algorithm without an added layer as a CNN main network, wherein the feature maps are 1/8 of the size of an input image;

s1-3-2, forming a hexagonal boundary cover M by adopting convolutional layer processing on the local feature map F of each building, and forming 6 prediction vertexes P of the boundary cover M by utilizing convolutional layer processing; wherein hexagonal bounding box M refers specifically to the vertical projection of the XOY plane describing the building in E;

6-step prediction is carried out by utilizing a multilayer RNN algorithm of convolution long-short term memory ConvLSTM to obtain 6 prediction points

Closed building boundary polygons, forming a city building net model (as shown in figure 2);

And arranging a road guide point at every preset distance on the road network

Integrating the building index points and the road index points into an index library K;

s1-4 specifically comprises the step of fusing the models established in the steps S1-2 and S1-3 according to the relative coordinate positions of the buildings and the roads in the remote sensing image under the urban geographic coordinate system E to form a two-dimensional model of the urban roads and the buildings

；

S1-5 presetting the two-dimensional model

The Z coordinate H of the boundary of each polygon in the city is under E and represents the height of the building layer, and the building index points of various medical institutions are marked with index circles in different colors to form a three-dimensional model of the urban endowment medical and health institution

(ii) a The smart phone can inquire the appointed urban old-age medical and health institution through the app and can perform corresponding three-dimensional model

Displays the corresponding index circle, the name of the organization, the geographic coordinate of the organization and the name of the roadScale (not shown in fig. 2 and in fig. 5a and 5 b).

Example 3

The step S2 specifically includes:

s2-1, a nursing staff in an elderly care hospital is equipped with a smart phone (namely, a user mobile phone), a family member of the cared old man (also belonging to the user mobile phone) and an emergency doctor in the hospital are equipped with the smart phone, and the emergency doctor is equipped with the smart phone and is provided with a professional version of the urban three-dimensional model collaborative management application program app of the elderly care medical and health institution and is provided with a user version of the urban three-dimensional model collaborative management application program app of the elderly care medical and health institution; the app professional edition can register or enter a medical and management system in a corresponding organization, and the app user edition only keeps displaying or enters a medical information interface and realizes the functions of medical treatment registration and call for help contact; then, a main monitoring center CC worker is provided with an intelligent mobile phone for AI modeling;

s2-2, a face recognition device is installed on each access door in the nursing medical and health institution, and a distress call prompt information module is installed on the app, wherein the distress call prompt information module is a distress call contact button in the embodiment.

When an emergency doctor goes out of a hos main building gate of a hospital, the face recognition device recognizes the face of the emergency doctor, the face recognition device indicates that the person goes out of the office and records that a real-time emergency task is reduced, the monitoring center C or the master monitoring center CC sends rescue arrangement and reminding information to the app, and the person clicks a call-for-help contact button to record that the clicked person starts to execute the emergency task, so that a real-time emergency task is reduced in the office; the monitoring center C and the main monitoring center CC store the records and the three-dimensional model Mod_3DAnd correspondingly, the medical information updates the record that the emergency doctor has gone out to perform the emergency task, so as to indicate whether the organization is in a state that the staff available for service is sufficient.

It should be emphasized that: clicking the call for help contact button and face recognition of the emergency doctor together form a double insurance means for confirming that the emergency doctor goes out of the hospital hos. If people forget face recognition or the face recognition fails but the people do not pay attention to the recognition again, the outgoing record can be formed by clicking the call for help contact button; or on the contrary, forgetting to click the call for help contact button, but the supplementary recording can also be carried out through face recognition. And the cases that both are forgotten are few, and the patient is regarded as a medical practice who does not operate according to a professional flow.

Wherein, fig. 5a and 5b respectively show three-dimensional models Mod of apps of user version 1 of smartphone and professional version C of app of monitoring center C of hos of hospital, which can be magnified (for the former, the former is realized by an operation mode that two conventional fingers simultaneously slide on the smartphone screen in opposite directions, and for the latter, the latter can be operated by a magnification button of professional version app) by clicking and moving the cursor to the index circles of different colors respectively_3DAnd displaying a hos medical information menu interface of the hospital. The top column of the menu is marked with medical information, and the middle two columns of the menu are respectively marked with a reservation registration button and a call for help contact button. Whereas in fig. 5a the user pops up a dialog box (not shown in fig. 5 a) confirming the first aid by pressing the 2s call for help contact button too long; while in fig. 5b the call for help contact button is used on the emergency doctor smartphone, the emergency doctor is also additionally assigned an emergency task by the monitoring center C and the pop-up menu is lit up, at which time the emergency doctor is ready to respond to a call for help in the opposite-side nursing home on the road in fig. 2 by pressing the call for help contact button to indicate that the task is accepted and the emergency doctor leaves the hospital hos.

In fig. 5a the user version of the app, which is the other neighboring health care institution, and in fig. 5b the professional version of the app, which is the medical and management system, show different contents in the last column of the menu. The user and the emergency doctor can enter the system for daily sitting and examining operation by clicking respectively.

Wherein the medical information includes registration information, billing information, CT queuing reminder information, current staff information, hospitalization information, and a view details button for viewing detailed medical information and/or for updating entered medical information in both fig. 5a and fig. 5 b. Wherein the current person information comprises: whether a doctor is currently sitting on a doctor, and after clicking the view details button, the brief introduction of the emergency doctor in the additional hospital hos, the sitting schedule of other hospital personnel and whether to go to perform emergency tasks can be seen. The drug use information in the user edition app comprises information for reminding drug use and a review reminder.

Also shown in fig. 5a and 5b is a nearby courier station with a purple building index circle below the interface. Fig. 5c and 5d show that the user and the person manually click and cursor click on the purple index circle on the express site building respectively on the user-version app and professional-version app three-dimensional models of fig. 5a and 5b, and then pop up detailed button options about the name of the express site, the courier to be sent, the current package to be viewed, and the historical data of the courier to be consulted. In fig. 5a, a menu popped up after a hos main building index circle is clicked on the user version app, and other community service site options are added, so that the user clicks and enters to view other community sites representing other nearby non-hospital hos in the three-dimensional model of the urban intelligent community. The indexing circles of the site buildings are all different colors.

Example 4

The S3 specifically includes:

s3-1, every 1 month, as shown in FIG. 6, an initial current geographic position 3 (marked by a blue circle) is located in the city through a smart phone 2 equipped by a staff member of a general monitoring center CC, and a corresponding three-dimensional model is found in the indexing library K according to the current geographic position 3

The road index point 4 with the shortest straight line distance;

s3-2, using the road index point 4 with the shortest straight line distance as the center of circle, in the three-dimensional model

Finding the index circles of different colors representing the construction of the old care medical and health institution and acquiring whether the personnel corresponding to each index circle are in sufficient state or not in the circle 5 with the preset radius R; if no different color index circle satisfying the sufficient state of the person is found, enlarging the radius R by a specified step size of 100m until found;

s3-3 as shown in fig. 6, in the smartphone 2 equipped by the staff in the total monitoring center CC, according to the center of the circle and the index circles of different colors in the range of R that satisfy the sufficient status of the staff, the index circle that satisfies the sufficient status of the staff that is closest to the center of the circle is found, and one index circle 6 that satisfies the sufficient status of the staff that is closest to the center of the circle and the straight line is marked red and green, respectively, while the other two index circles 7 in the range of the circle are all uniformly black (indicating an insufficient staff mechanism, such as a pharmacy or a school health room, and once there is an emergency doctor in at least one of them, they are also marked green), and the other areas in the remaining circles are uniformly yellow, thereby forming a three-color green, black, and yellow detection circle. When there is a suitable emergency doctor in the lower one of the two indexing circles 7, it turns green, while the green indexing circle 6 turns black due to being farther from the indexing point 4 than the indexing circle 7 that turned green.

As shown in fig. 7, the master monitoring center CC staff is equipped with a smartphone 2 with a left circle 5 obtained in one sampling. Wherein there is a certain current geographic position 3, said current geographic position 3 finding the corresponding three-dimensional model in said indexing library K

The road index point 4 with the shortest straight-line distance therebetween, a green index circle 6 satisfying the sufficient state of the person, and a black index circle 7 of the mechanism in which the person is insufficient, the circle areas other than the green index circle 6 and the black index circle 7 are set to yellow, thereby obtaining a three-color detection circle 8 of green, black, and yellow (the right side of fig. 7).

S3-4 urban three-dimensional model

Repeating the steps S3-1-S3-3 while continuously changing the new geographic position to obtain 10000 detection circles;

s3-5, establishing an artificial intelligence model according to the geographic coordinates with the circle center under E, the detection circles and the searched urban endowment medical and health institution J. The AI model convolutional neural network CNN. The number ratio of the detection circles in the training set to the detection circles in the verification set is 5: 1. And obtaining a final AI model through the training model and the model verification.

Example 5

This embodiment is an application scenario of another nursing home in a city and a hospital J located far away from it, unlike the scenarios of embodiments 1 to 4. In this scenario:

the S4 specifically includes:

s4-1, as shown in fig. 8, the caregiver in the nursing home finds the current position 3 through the app of the smart phone 11, and the app obtains the coordinate of the current position 3 of the current user under E and obtains a detection circle O (not shown in the figure, but a circle center 4 is given, i.e. a road guidance point where the straight distance from the position 3 of the previous user is the shortest);

s4-2, the coordinates and the detection circle O are sent to the aged care server S to be substituted into the AI model, a hospital J is found, and a green index circle J is marked in the three-dimensional model.

The S5 specifically includes:

when finding the hospital J, the three-dimensional model established by the step S1 can be clicked

Green in the index circle J, or first enlarging the three-dimensional model

Finding out the enlarged three-dimensional model

Clicking the three-dimensional model established in step S1

The green index circle J in the middle pops up a menu as shown in fig. 5a, and the emergency doctor can communicate with the hospital J by pressing the call for help contact button and selecting and determining in the popped dialog box, so as to lead the emergency doctor to rush to the fixed point for medical rescue service.

Example 6

In embodiment 5, after the step S5 of communicating with the user to reach the hospital J, the method further includes steps S5-1 and S5-2 of finding the user by navigation, including:

s5-1, when receiving the rescue information from the monitoring center C, the emergency medical practitioner starts from hospital J, recognizes the face and clicks the call for help contact button (clicking on the emergency medical practitioner 'S smart phone or on the emergency medical practitioner' S desktop computer) when passing through the door of the institution, and both the caregiver in the nursing home and the app of the emergency medical practitioner 'S smart phone can display the navigation route 9 established between the index point where the current hospital J is located and the road index point 4 that is the closest to the caregiver' S current position 3 in a straight line, and display the current location 10 (indicated by a five-pointed star) where the emergency medical practitioner starts from hospital J (see fig. 8);

s5-2 prompting the caregiver current location 3 of the emergency medical practitioner on the caregiver smartphone app so that the user remains in communication with the personnel so that the personnel arrive exactly at the caregiver current location 3;

s5-3 the emergency medical practitioner utilizes the navigation route 9 to find the caregiver' S current location 3 using an ambulance.

Example 7

The method for establishing the navigation route 9 in fig. 8 comprises the following steps:

as shown in fig. 9, S5-1-1 establishes a straight line segment L between the coordinate position of the index point where the current hospital J main building is located and a target point that is a road index point 4 closest to the current position 3 (see fig. 8) of the caregiver and sets a three-dimensional model to be passed through

Two intermediate locations between which a navigation planning suggested path 9 is established and which may be displayed in the app of the emergency medical doctor smartphone 22 or in the ambulance together with the representation symbols of the index point 4 as the target location and the navigation planning suggested path; wherein a and b are two mutually perpendicular coordinates of a coordinate system F established on the ambulanceA shaft;

Wherein, a straight line segment L between the coordinate position and a target position which is a road index point 4 with the closest straight line distance to the geographic position 3 of the user is set to pass through the three-dimensional model

Specifically, the two intermediate locations include:

s5-1-1-1, sending the geographic coordinates of the user in the input coordinate system E to a server S at the position, and utilizing the server S to perform three-dimensional modeling

A straight line segment L is established between the road marking guide point 4 and a marking guide point where a hospital J building is located;

s5-1-1-2, equally dividing the straight line segment L into 3 straight line segments in preset number, starting from each equally dividing point of the straight line segment L, searching equally dividing points close to the index point 4 at intervals of 2.5m in the directions of two sides parallel to the X axis of the E, and searching equally dividing points far away from the index point 4 at intervals of 2.5m in the directions of two sides parallel to the Y axis of the E for each straight line segment;

s5-1-1-3 continuously calculates the moving points under E obtained by the step-by-step search in step 5-1-1-2 to find the distance between the neighboring road index points in the index library K, and when the distance is the closest, the distance is used as the intermediate points D and G (shown in fig. 9) corresponding to "each bisector".

Example 8

An urban three-dimensional model collaborative management system for an endowment medical and health institution, which implements the method of the above embodiments 1 to 6, comprising: the system comprises a server S, a monitoring center C, a main monitoring center CC, a server SS of the main monitoring center CC, and smart phones equipped for personnel in the nursing medical and health institutions, users and staff of the main monitoring center CC in various nursing medical and health institutions, wherein,

for the server SReceiving the geographic positioning of the user, detecting the circle, providing medical information, and receiving updated and perfected medical information and three-dimensional model sent by a server SS of a main monitoring center CC

And an AI model;

And AI model and send mechanism J in three-dimensional model to user smart phone

The geometric figure mark in the center, and report medical information and the search result to a total monitoring center CC;

the main monitoring center CC is used for analyzing and processing the historical and real-time data in the servers S and the monitoring center C and cooperatively managing the servers S and the monitoring center C, wherein the data comprises medical information, information of medical treatment registration and call for help, data in a medical treatment and management system and a three-dimensional model

And an AI model;

and an urban three-dimensional model collaborative management application program app of the endowment medical and health institution is respectively installed in the smart phones equipped by the personnel and the users in the endowment medical and health institution. The personnel installs a professional version of the urban three-dimensional model collaborative management application app of the endowment medical and health institution in the smart phone, installs a user version of the urban three-dimensional model collaborative management application app of the endowment medical and health institution in the smart phone equipped by the user, and is equipped by a main monitoring center CC.

Claims

1. A city three-dimensional model collaborative management method of a smart community is characterized by comprising the following steps:

s2, arranging mobile terminals provided with the urban three-dimensional model collaborative management application program app of the smart community for personnel in the smart community site and users outside the site; providing a device capable of recording whether the person is currently located in the intelligent community site, wherein the device is used for indicating whether the site is in a state that the person capable of providing service is sufficient;

s4, searching for smart community sites at real time and fixed points in the three-dimensional model established in the step S1 by using the AI model established in the step S3 and the app established in the step S2, and marking the smart community sites in the three-dimensional model;

the three-dimensional model is a remote sensing image map-based model or a semantic model;

the S1 specifically includes:

s1-1, setting an independent server S and an independent monitoring center C in each intelligent community site, setting a main monitoring center CC to perform real-time processing and analysis on data of the independent server S and the independent monitoring center C, and performing cooperative management on each intelligent community site, wherein a server SS of the main monitoring center CC is used for three-dimensional model modeling and AI model modeling;

s1-4, fusing the models established in the steps S1-2 and S1-3 to form a two-dimensional model Mod of the urban road and the building_2D；

S1-5 two-dimensional model Mod of urban road and building based on step S1-4_2DBuilding combined three-dimensional model Mod_3D；

Wherein, step S1-2 specifically includes:

s1-2-1, establishing an urban geographic coordinate system E, wherein an XOY plane represents the ground, generating road continuous nodes by a node generator comprising an encoder and a decoder by utilizing an RNN recurrent neural network algorithm based on urban remote sensing images, connecting the two nodes before and after generation in the generation process, inputting the new generated nodes into the node generator to continuously generate new nodes, continuously connecting the generated new nodes, and circularly connecting the nodes to form a road network; defining step length and vector direction as attribute vectors, taking each initial node and K points of the incident path direction as input points, wherein K initial attribute vectors are corresponding between the K points and the corresponding initial points; inputting the K +1 input points and the attribute vector into an encoder, and generating a new node by a decoder;

s1-2-2, widening all lines in a road network according to a preset width w to form road width lines with a certain width, so as to obtain an urban road network model, wherein w is widened according to the corresponding road width in the remote sensing image;

step S1-3 specifically includes:

s1-3-1, based on the urban remote sensing image in the step S1-2-1, extracting a series of feature maps obtained by different convolutional layers by using a VGG-16 algorithm without an added layer as a CNN main network, wherein the feature maps are 1/2-1/10 of the size of an input image;

s1-3-2, for each building in the plurality of buildings, obtaining a local feature map F of the building by using a RoIAlign algorithm on the feature maps obtained by the series of different convolutional layers and the corresponding frame of the building; adopting convolution layer processing to form a polygonal boundary cover M for the local characteristic graph F of each building, and then utilizing convolution layer processing to form a plurality of predicted vertexes P of the boundary cover M; wherein polygonal bounding box M refers specifically to the vertical projection of the XOY plane describing the building in E;

Forming a closed building boundary polygon to form an urban building net model; t is the step number;

And setting a road sign guide point on the road network at intervals of a preset distance

And integrating the building index points and the road index points into an index library K.

2. The method according to claim 1, wherein step S4 is followed by further comprising:

3. The method of claim 2,

and w in the S1-2-2 is 0.5-1.5 times of the average value of all road widths in the remote sensing image.

4. The method according to claim 3, wherein step S1-4 specifically comprises: under the urban geographic coordinate system E, according to the relative coordinate positions of the buildings and the roads in the remote sensing image, the models established in the steps S1-2 and S1-3 are fused to form a two-dimensional model Mod of the urban roads and the buildings_2D；

S1-5 specifically comprises: preparation ofSetting the two-dimensional model Mod_2DRepresenting the height of the building layer by the polygon boundaries in the Z coordinate H under E, marking the building index points of various intelligent community sites with geometric figures with different colors to form a three-dimensional model Mod of the urban intelligent community site_3D(ii) a The mobile terminal can inquire a specified urban smart community site through the app and can inquire the site in a corresponding three-dimensional model Mod_3DDisplaying corresponding geometric figure marks and site names, geographic coordinates of the sites and names of roads of the sites; the mobile terminal, the monitoring center C of various smart community sites and the main monitoring center CC interface can be manually clicked respectively, and a cursor moves to the geometric figure marks with different colors or is clicked by the cursor to display and/or enter the smart community service information interface, realize a service reservation function, realize emergency contact by long-time pressing of the emergency contact function, and/or register or enter a smart management system in a corresponding site or view other smart community sites nearby, wherein the long-time pressing is 2-4 seconds, and a confirmation dialog box pops up.

5. The method according to claim 4, wherein the step S2 specifically includes:

s2-1, arranging mobile terminals for personnel in the smart community site and staff of a main monitoring center CC, installing a professional version of a city three-dimensional model collaborative management application program app of the smart community in the mobile terminals, arranging mobile terminals for users, and installing a user version of the city three-dimensional model collaborative management application program app of the smart community in the mobile terminals; the app professional version can register or enter an intelligent management system in a corresponding site, and the app user version only keeps displaying or enters an intelligent community service information interface, so that the functions of service reservation and emergency contact are realized, and other intelligent community sites nearby are checked; wherein, the CC staff of the main monitoring center is equipped with a mobile terminal for AI modeling;

s2-2, installing face recognition device on each entrance and exit door in the intelligent community site, and when a person goes out, indicating that the person has gone out of the site through face recognitionRecording and reducing a number of real-time emergency tasks, and/or installing an emergency prompt information module on the app, sending rescue arrangement and reminding information to the app through a monitoring center C or a main monitoring center CC, and recording that the clicked personnel starts to execute the emergency tasks by clicking the emergency prompt information module, so that a number of real-time emergency tasks are reduced in the site; the monitoring center C and the main monitoring center CC store the records and the three-dimensional model Mod_3DAnd correspondingly, updating the record of whether the travel executes the emergency task in the intelligent community service information so as to indicate whether the site is in a state of sufficient personnel capable of providing service.

6. The method according to claim 5, wherein the S3 specifically includes:

s3-1, positioning an initial current geographic position by the aid of a mobile terminal equipped by staff of the CC at preset intervals, and finding out a corresponding three-dimensional model Mod in the indexing library K according to the current geographic position_3DThe road index point with the shortest straight line distance with the road index point is marked, and the preset time is 1 day to 1 month;

s3-2, using the road sign guide point with the shortest straight line distance as the center of a circle, and using the three-dimensional model Mod_3DFinding the geometric figure marks with different colors representing the smart community site buildings in a circle with a preset radius R and acquiring whether the personnel corresponding to each mark are in sufficient state; if no different color geometric figure mark is found which satisfies the sufficient state of the person, enlarging the radius R by a specified step length until the found; the specified step length is 50-5000 m;

s3-3, according to the circle center and the geometric figure marks with different colors meeting the sufficient state of people in the R range, finding the geometric figure mark which is closest to the circle center in a straight line distance and meets the sufficient state of people, and marking the geometric figure mark which is closest to the straight line distance and meets the sufficient state of people as a first color or gray scale, wherein the geometric figure marks with different colors in the circle range and representing other intelligent community buildings are unified as a second color or gray scale, and other areas in the remaining circles are unified as a third color or gray scale, so that a detection circle is formed;

s3-4 city three-dimensional model Mod_3DRepeating the steps S3-1-S3-3 while continuously changing the new geographic position to obtain a plurality of detection circles, wherein the number of the detection circles is preferably 1000-; wherein the number ratio of the plurality of detection circles divided into the training set and the verification set is 10:1-1: 1;

s3-5, establishing an artificial intelligence model according to the geographic coordinates of the circle center of each detection circle under E, the detection circles and the found urban intelligent community site J, wherein the AI model comprises a convolutional neural network CNN and an SVM (support vector machine), generating a countermeasure network GAN, and obtaining a final AI model through training model and model verification.

7. The method according to claim 6, wherein the S4 specifically includes:

s4-2, substituting the coordinates and the detection circle O into the AI model, finding an intelligent community site J and marking the intelligent community site J with the geometric figure with a corresponding color in the three-dimensional model;

the S5 specifically includes:

when finding out the smart community site J of the city, the three-dimensional model Mod established in the step S1 can be clicked_3DThe geometric indicia in (a) is communicatively linked to J for the person to reach the fix for service.

8. The method of claim 7,

after the step S5, the step S5-1 and the step S5-2 find the user by navigation, which specifically includes:

s5-1, when receiving rescue information, starting from a corresponding station, identifying a human face and/or clicking the emergency prompt information module when passing through a door in the station, and displaying a navigation route established between a guide point where the current station is located and a road guide point which is closest to the current position of the user in a straight line manner on the app of the personnel and the user, and/or displaying the current position of the personnel starting from the corresponding station;

s5-2, the user prompts the current position of the user to the personnel on the app so as to keep communication with the personnel, so that the personnel can accurately reach the geographical position of the user;

s5-3 the person uses the navigation route to find the user' S current location.

9. The method of claim 8, wherein the navigation route is established by:

s5-1-1, according to the coordinate position of the index point where the current station building is located, establishing a straight line segment L between the coordinate position and a target location which is a road index point with the straight line distance closest to the geographic position of a user, and setting a three-dimensional model Mod which needs to pass through_3DA navigation planning suggested path is established between two adjacent points in the plurality of intermediate points, and the plurality of intermediate points, the representation symbols of the target point and the navigation planning suggested path are displayed in a personnel mobile terminal or a vehicle driven by personnel;

10. The method according to claim 9, wherein the straight line segment L between the coordinate position and the target position as the road index point closest to the geographical position of the user is used to set the three-dimensional model Mod to be passed through_3DThe plurality of intermediate locations in (a) specifically include:

s5-1-1-1 sends the geographic coordinates of the user in the input coordinate system E to the server S at the position, and the server S is used for the three-dimensional model Mod_3DEstablishing a straight line segment L between said location in (a) and said target location;

s5-1-1-2 equally dividing the straight line segment L into a plurality of straight line segments pi of a preset number of parts, i =1,2.. k-1, k being the preset number of parts, for each straight line segment pi, gradually searching for the abscissa and ordinate under E using two moving points moving away from the midpoint or the bisector in the directions of both sides of L, starting from the midpoint thereof, or starting using each bisector of the straight line segment L;

s5-1-1-3, continuously calculating the moving point under E obtained by the step-by-step search in the step 5-1-1-2 to obtain the distance of the nearby road index point in the index library K, and when the distance is the nearest point, using the nearest point as a middle point corresponding to each straight line segment pi or each equally divided point;

the two-side directions are preferably two-side directions parallel to the X or Y axis of the E, and can also be directions perpendicular to the straight line segment L, or multi-directional simultaneous search of the two-side directions parallel to the X axis and the Y axis of the E and three directions perpendicular to the direction of the straight line segment L; when a multi-directional search is selected, each step of the stepwise search results is an average of the abscissa and ordinate in all directions, and the average includes an arithmetic average or a weighted average.

11. A city three-dimensional model collaborative management system for smart communities implementing the method according to any one of claims 6-10, comprising: servers S, a monitoring center C, a main monitoring center CC and a server SS of the main monitoring center CC which are arranged in various intelligent community sites, and mobile terminals equipped for personnel, users and staff of the main monitoring center CC in the intelligent community sites, wherein,

the server S is used for receiving the geographic positioning of the user, detecting the circle, providing the intelligent community service information, and receiving the updated and perfect intelligent community service information and the three-dimensional model Mod sent by the server SS of the main monitoring center CC_3DAnd an AI model;

the monitoring center C is used for receiving the geographical positioning information and the three-dimensional model Mod of the user sent by the server S_3DAnd AI model to send site J in three-dimensional model Mod to user mobile terminal_3DAnd reporting the intelligent community service information and the intelligent community service information to the main monitoring center CCFinding a result;

the main monitoring center CC is used for analyzing and processing historical and real-time data in the servers S and the monitoring center C and cooperatively managing each server S and the monitoring center C, wherein the data comprises intelligent community service information, service reservation and emergency contact information, data in an intelligent management system and a three-dimensional model Mod_3DAnd an AI model;

and the urban three-dimensional model collaborative management application program app of the smart community is respectively installed in the mobile terminals equipped by the personnel and the users in the smart community site.

12. The system of claim 11, wherein the personnel uses a professional version of a smart community city three-dimensional model collaborative management application app installed in the mobile terminal, and a user version of the smart community city three-dimensional model collaborative management application app installed in the user-equipped mobile terminal.

13. A computer-readable non-transitory storage medium in which a program operable by the server S, the server SS, and the monitoring center C, and the total monitoring center CC to implement the method of any one of claims 1 to 10 is stored.