Method and system for collaborative management of urban 3D model in smart community
A three-dimensional model and collaborative management technology, applied in neural learning methods, biological neural network models, 3D modeling, etc., can solve the problem of not being able to coordinate services from all aspects of society into one system.
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Embodiment 1
[0095] like figure 1 It is a schematic flow chart of the urban three-dimensional model collaborative management method of an old-age medical and health institution in the present invention. figure 2 There is an index point for the main building of a nursing home in , and a hospital hos across the road. figure 2 The indexing points of each building are marked with indexing circles for the center of the circle, and the indexing circles of the nursing home and hospital hos have different colors, and are also different from the black indexing circles of other buildings. figure 2 Road marker points are also marked in (one of which is ), and the index point of the main building of the nursing home used to find the nearest hospital is a part of the circle whose center R is the radius.
[0096] The method includes five steps, namely:
[0097] The main building of the nursing home mentioned in S1, and the server S and the monitoring center C set up in the hospital hos ( fi...
Embodiment 2
[0105] Also include after S1-1 in embodiment 1:
[0106] S1-2 Establishment of urban road network model of artificial intelligence network;
[0107] S1-3 Establishment of urban building network model of artificial intelligence network;
[0108] S1-4 Merge the models established in steps S1-2 and S1-3 to form a two-dimensional model of urban roads and buildings ;
[0109] S1-5 The two-dimensional model of urban roads and buildings based on step S1-4 Build the 3D model ;
[0110] Wherein, step S1-2 specifically includes:
[0111] S1-2-1 Establish the urban geographic coordinate system E (such as figure 2 shown), the XOY plane represents the ground (X is north).
[0112] like Figure 3a , based on urban remote sensing images, using the RNN cyclic neural network algorithm, define the step size l (selected from 1-5m according to the total length of the road) and the vector direction r as the attribute vector V, and each starting node and K incident paths direction , ...
Embodiment 3
[0124] Described step S2 specifically comprises:
[0125] S2-1 Nursing staff in nursing homes are equipped with smart phones (that is, user mobile phones), family members of the elderly under care (also belong to user mobile phones) and emergency doctors in hospitals are equipped with smart phones, and emergency doctors are equipped with smart phones. The professional version of the urban three-dimensional model collaborative management application app app, and the user version of the urban three-dimensional model collaborative management application app app installed in the user's mobile phone; wherein, the professional version of the app can be registered or entered into the corresponding institution's medical and management system, while the app user version only retains the functions of displaying or entering the medical information interface, as well as realizing the functions of medical registration and calling for help; and then equip the CC staff of the general monitori...
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