CN-122023673-A - Modeling method and rendering method of park three-dimensional model, electronic equipment and medium

CN122023673ACN 122023673 ACN122023673 ACN 122023673ACN-122023673-A

Abstract

The application relates to the technical field of intelligent parks, in particular to a modeling method and rendering method of a three-dimensional model of a park, electronic equipment and a medium. The method for modeling the three-dimensional model of the park comprises the steps of firstly collecting multi-source real-time park data for various park items in a target park through Internet of things equipment, carrying out data standardization operation based on the multi-source real-time park data to obtain standardized Internet of things data, uploading the standardized Internet of things data to a data prediction module of a cloud server, carrying out state evolution prediction of the park items based on the standardized Internet of things data in the data prediction module to obtain item prediction data corresponding to each park item, and carrying out three-dimensional model construction based on the standardized Internet of things data, the item prediction data and a park model prefabricated body in a model construction module to obtain a park three-dimensional model corresponding to the target park. Thus, a three-dimensional model of the park, which can reflect the state of the park more accurately and in real time, can be constructed.

Inventors

CHEN HONG
LIU WEI
ZHENG SHUZHEN
WANG WEIPING

Assignees

深圳泛和科技有限公司

Dates

Publication Date: 20260512
Application Date: 20260410

Claims (10)

1. A modeling method of a three-dimensional model of a campus, which is applied to a smart campus system, wherein the smart campus system comprises an internet of things device, an edge computing node and a data center, which are deployed on a target campus, and a data prediction module and a model construction module, which are deployed on a cloud server, the method comprising: acquiring multi-source real-time park data aiming at various park items in the target park through the Internet of things equipment; performing data standardization operation based on the multi-source real-time park data to obtain standardized internet of things data; Uploading the standardized internet of things data to the data prediction module of the cloud server; in the data prediction module, carrying out evolution prediction on the state of the park item based on the standardized internet of things data to obtain item prediction data corresponding to each park item; And in the model construction module, carrying out three-dimensional model construction based on the standardized internet of things data, the item prediction data and the park model preform to obtain a park three-dimensional model corresponding to the target park.
2. The method of claim 1, wherein the smart campus system further comprises edge computing nodes and a data communication network deployed on a target campus, wherein the performing data normalization operations based on the multi-source real-time campus data to obtain normalized internet of things data comprises: performing rough verification processing on the multi-source real-time park data to obtain rough verification internet-of-things data of various internet-of-things data types; transmitting the coarse verification internet of things data of a plurality of internet of things data types to the edge computing node through the data communication network; In the edge computing node, performing fine verification processing on the corresponding rough verification internet of things data based on the internet of things data types to obtain fine verification internet of things data of a plurality of the internet of things data types; And carrying out data fusion operation on the fine verification data of each Internet of things data type through the data center table to obtain the standardized Internet of things data.
3. The method of claim 2, wherein the thing networking data types include an aging requirement type, a reliable requirement type, and a reachable requirement type, wherein the data communication network includes a wide area high speed backbone network, an indoor high density access network, and a remote low power consumption thing networking network, wherein the transmitting the coarse verification thing networking data of the plurality of thing networking data types to the edge computing node through the data communication network comprises: Transmitting the coarse verification internet of things data of the time-efficient demand type to the edge computing node through the wide area high-speed backbone network; Transmitting the rough check-up internet of things data of the reliable demand type to the edge computing node through the indoor high-density access network; and transmitting the rough check Internet of things data of the reachable demand type to the edge computing node through the remote low-power consumption Internet of things network.
4. The method of claim 3, wherein the acquiring, by the internet of things device, multi-source real-time campus data for a plurality of campus items in the target campus, comprises: Acquiring outdoor video stream data, campus mobile equipment data and campus key equipment data as the coarse verification internet of things data of the aging demand type; Acquiring indoor video stream data, a user terminal intensive access signal and an indoor environment perception signal as the rough check internet of things data of the reliable demand type; and acquiring park corner perception signals, item safety state signals and park asset tracking signals as the rough check internet of things data of the reachable demand type.
5. The method of claim 2, wherein the performing the rough verification process on the multi-source real-time campus data to obtain rough verification internet of things data of a plurality of internet of things data types comprises: carrying out integrity screening on the multisource real-time park data to obtain an integrity screening result; Under the condition that the integrity screening result meets the preset integrity screening condition, rationality screening is carried out on the multisource real-time park data through a predetermined normal internet-of-things value interval, so that a rationality screening result is obtained; And under the condition that the rationality screening result meets the preset rationality screening condition, determining the multi-source real-time park data as corresponding coarse verification internet-of-things data according to the internet-of-things data type of the multi-source real-time park data.
6. The method of claim 5, wherein the performing a fine verification process on the corresponding coarse verification data based on the type of the internet of things data to obtain fine verification data of a plurality of types of the internet of things data, comprises: inputting the crude check internet of things data and the internet of things data type corresponding to the crude check internet of things data into a pre-trained internet of things data check model, so as to carry out fine check processing on the crude check internet of things data through the internet of things data check model, and obtaining a fine check result; under the condition that the fine verification result reflects the missing of the rough verification internet of things data, retrieving historical internet of things data of the same internet of things data type from a pre-constructed historical internet of things database; And interpolating and complementing the coarse verification internet of things data based on the historical internet of things data of the same internet of things data type to obtain the corresponding fine verification internet of things data.
7. The method of claim 1, wherein the predicting the evolution of the status of the campus item based on the standardized internet of things data to obtain item prediction data corresponding to each of the campus items comprises: Obtaining a plurality of candidate item evolution prediction models, wherein each item evolution prediction model is used for carrying out evolution prediction on a target item; determining a target object item evolution prediction model from a plurality of candidate object item evolution prediction models based on the object link data type corresponding to the standardized object link data; and inputting the standardized internet of things data into the corresponding target item evolution prediction model to perform park item state evolution prediction, so as to obtain item prediction data.
8. The method for rendering the three-dimensional model of the park is characterized by being applied to a target terminal and comprising the following steps of: determining the model display requirement, the terminal performance parameter and the terminal screen parameter of the target terminal; obtaining a three-dimensional model of a park obtained by the modeling method of the three-dimensional model of the park according to any one of claims 1 to 7; And performing rendering operation on the three-dimensional model of the park based on the model display requirement, the terminal performance parameter and the terminal screen parameter.
9. An electronic device comprising a memory, a processor, the memory storing a computer program, the processor implementing the method of modeling a three-dimensional model of a campus as claimed in any one of claims 1to 7 or the method of rendering a three-dimensional model of a campus as claimed in claim 8 when the computer program is executed.
10. A computer-readable storage medium storing a program that is executed by a processor to implement the modeling method of the three-dimensional model of a campus as claimed in any one of claims 1 to 7, or the rendering method of the three-dimensional model of a campus as claimed in claim 8.

Description

Modeling method and rendering method of park three-dimensional model, electronic equipment and medium Technical Field The application relates to the technical field of intelligent parks, in particular to a modeling method and rendering method of a three-dimensional model of a park, electronic equipment and a medium. Background In the construction and development process of the intelligent park, the construction of a three-dimensional model capable of truly reflecting the state of the park in real time has become a key technical requirement for improving management efficiency. However, the related art faces a series of technical problems in the field, which restrict the deep application and effect of the related art in the actual scene. Due to the limitations of the existing park in terms of insufficient real-time performance and compatibility of data acquisition, low three-dimensional model updating efficiency, poor rendering performance, weak data processing capability, intelligent analysis deficiency, lack of elasticity of system architecture, uneven network coverage and the like, the three-dimensional model of the park constructed at present is difficult to accurately reflect the state of the park in real time. Disclosure of Invention The present application aims to solve at least one of the technical problems existing in the prior art. Therefore, the application provides a modeling method, a rendering method, electronic equipment and a medium for a three-dimensional model of a park, so that the three-dimensional model of the park, which can reflect the state of the park more accurately and in real time, is constructed. According to an embodiment of the first aspect of the present application, a modeling method of a three-dimensional model of a campus is applied to an intelligent campus system, the intelligent campus system includes an internet of things device, an edge computing node and a data center, which are deployed in a target campus, and a data prediction module and a model construction module, which are deployed in a cloud server, the method includes: acquiring multi-source real-time park data aiming at various park items in the target park through the Internet of things equipment; performing data standardization operation based on the multi-source real-time park data to obtain standardized internet of things data; Uploading the standardized internet of things data to the data prediction module of the cloud server; in the data prediction module, carrying out evolution prediction on the state of the park item based on the standardized internet of things data to obtain item prediction data corresponding to each park item; And in the model construction module, carrying out three-dimensional model construction based on the standardized internet of things data, the item prediction data and the park model preform to obtain a park three-dimensional model corresponding to the target park. According to some embodiments of the application, the smart campus system further includes an edge computing node and a data communication network deployed on the target campus, the performing a data normalization operation based on the multi-source real-time campus data to obtain normalized internet of things data, including: performing rough verification processing on the multi-source real-time park data to obtain rough verification internet-of-things data of various internet-of-things data types; transmitting the coarse verification internet of things data of a plurality of internet of things data types to the edge computing node through the data communication network; In the edge computing node, performing fine verification processing on the corresponding rough verification internet of things data based on the internet of things data types to obtain fine verification internet of things data of a plurality of the internet of things data types; And carrying out data fusion operation on the fine verification data of each Internet of things data type through the data center table to obtain the standardized Internet of things data. According to some embodiments of the application, the thing networking data types include an aging requirement type, a reliable requirement type and an reachable requirement type, the data communication network includes a wide area high-speed backbone network, an indoor high-density access network and a remote low-power consumption thing networking network, and the transmitting the coarse verification thing networking data of the plurality of thing networking data types to the edge computing node through the data communication network includes: Transmitting the coarse verification internet of things data of the time-efficient demand type to the edge computing node through the wide area high-speed backbone network; Transmitting the rough check-up internet of things data of the reliable demand type to the edge computing node through the indoor high-density access network; and transmitting the r