CN-121616052-B - Smart city planning construction method based on edge Internet of things
Abstract
The application provides a smart city planning construction method based on an edge Internet of things, which is applied to the technical field of the city edge Internet of things, construction planning data and basic geographic data of a target planning area are obtained, construction stage construction demand data are constructed, a first edge Internet of things node deployed in a construction area is controlled to acquire construction equipment and environment states, node description data are generated, the construction demand data and the node description data are subjected to matching analysis, node association degree scores are calculated, network role division and authority configuration are carried out on nodes according to the scores, a second edge Internet of things node is formed, in the construction process, control adjustment parameters are generated based on construction state deviation relation, dynamic control and task allocation adjustment are carried out on equipment, the matching of construction demand and node capacity is realized, and construction efficiency, resource utilization rate and operation safety are improved.
Inventors
- BAO GE
- LI HAIFEI
- ZOU YAO
- GU MINJIE
- CHEN RONG
Assignees
- 上海茗岳信息科技有限公司
Dates
- Publication Date
- 20260508
- Application Date
- 20260130
Claims (8)
- 1. The intelligent city planning construction method based on the edge internet of things is characterized by comprising the following steps of: acquiring a planning data set corresponding to a target planning area, carrying out semantic analysis on the planning data set, and constructing construction requirement data corresponding to a construction stage, wherein a plurality of first edge Internet of things nodes are deployed in the target planning area; In the construction process, controlling the first edge internet of things node to acquire state data of corresponding construction equipment, and forming node description data of the first edge internet of things node according to the state data; Performing association analysis on the construction requirement data and the node description data of the first edge Internet of things node to obtain association degree scores of the first edge Internet of things node in the corresponding construction stage; according to the association degree score, determining a network role type of the first edge Internet of things node in a corresponding construction stage, wherein the network role type comprises a high association role type and a low association role type; Comparing the association degree score with a preset node dividing threshold value to obtain a comparison result; according to the comparison result, if the association degree score is greater than or equal to the node division threshold, dividing the first edge Internet of things node into high-association role types in the corresponding construction stage; According to the comparison result, if the association degree score is smaller than the node division threshold, dividing the first edge Internet of things node into low association role types in the corresponding construction stage; based on the network role type, performing control configuration adjustment on the first edge Internet of things node to form a second edge Internet of things node, wherein the second edge Internet of things node comprises a cooperative control node and a sensing node; if the network role type of the first edge Internet of things node is a high-association role type, the control authority of the first edge Internet of things node is improved, the first edge Internet of things node is adjusted to be a cooperative control node, and the cooperative control node is used for edge calculation and control of construction equipment; If the network role type of the first edge internet of things node is a low-association role type, reducing the control authority of the first edge internet of things node, and adjusting the first edge internet of things node to be a sensing node, wherein the sensing node is used for collecting environment or equipment state data; Controlling the second edge commodity connection node to acquire construction state data, and calculating a deviation relation between the construction state data and the construction requirement data; And generating corresponding construction control adjustment parameters based on the deviation relation, and controlling the second edge Internet of things node to control construction equipment and allocate tasks based on the construction control adjustment parameters.
- 2. The method as recited in claim 1, further comprising: Responding to the switching of the construction stage, carrying out association analysis on construction requirement data corresponding to the construction stage and node description data of the second edge Internet of things node, and determining the network role type of the second edge Internet of things node in the corresponding construction stage; and based on the network role type, performing control configuration adjustment on the second edge commodity connection node again.
- 3. The method of claim 1, wherein the performing association analysis on the construction requirement data and the node description data of the first edge internet of things node to obtain the association degree score of the first edge internet of things node in the corresponding construction stage includes: Analyzing the construction requirement data to obtain construction requirement information, and analyzing node description data of the first edge Internet of things node to obtain node capacity information; Performing matching analysis on the construction requirement information and the node capacity information, and determining a corresponding matching degree score; and carrying out weighted summation on the matching degree scores based on a preset matching weight coefficient to obtain the association degree scores of the first edge Internet of things nodes in the corresponding construction stage.
- 4. The method of claim 3, wherein the matching score comprises a first matching score and a second matching score, wherein the performing a matching analysis on the construction requirement information and the node capability information to determine the corresponding matching score comprises: Correspondingly analyzing the construction requirement information and the node capacity information, and determining a preset requirement condition corresponding to the construction requirement information; Comparing the node capacity information with the preset demand conditions item by item; If the node capacity information meets the preset requirement condition, determining that the construction requirement information is in a matching state, and taking the first matching degree score as the matching degree score of the construction requirement information and the node capacity information; and if the node capacity information does not meet the preset requirement condition, determining that the construction requirement information is in an unmatched state, and taking the second matching degree score as the matching degree score of the construction requirement information and the node capacity information.
- 5. The method of claim 3, wherein the weighting and summing the matching degree scores based on a preset matching weight coefficient to obtain a correlation degree score of the first edge internet of things node in a corresponding construction stage, includes: acquiring a preset matching weight coefficient in a corresponding construction stage, wherein the preset matching weight coefficient is a weight value preset by a pointer for each piece of construction requirement information and is used for reflecting the relative importance or priority of the construction requirement in the whole task of the current construction stage; And carrying out weighted summation on the matching degree scores according to the preset matching weight coefficient to obtain the association degree score of the first edge Internet of things node in the corresponding construction stage.
- 6. The method according to claim 1, wherein the planning data set includes basic geographic data and construction planning data, the semantic parsing is performed on the planning data set, and construction requirement data corresponding to a construction stage is constructed, including: Analyzing construction procedure information and construction task arrangement information from the construction planning data, merging the construction procedure information and the construction task arrangement information to corresponding construction stages according to a construction sequence or a time relation, and forming a first construction task set corresponding to the construction stages; Analyzing space range information and environment constraint information corresponding to a target construction area from the basic geographic data, and associating the space range information and the environment constraint information to a first construction task set under a corresponding construction stage to obtain a second construction task set; generating a plurality of construction requirement information based on the space range information and the environment constraint information corresponding to the second construction task set; And summarizing the construction requirement information to form construction requirement data corresponding to the construction stage.
- 7. The method according to claim 1, wherein the controlling the first edge internet of things node to obtain the status data of the corresponding construction equipment, and forming the node description data of the first edge internet of things node according to the status data includes: Controlling the first edge commodity connection node to acquire state data of corresponding construction equipment; Extracting executable capability information and performance parameters of the first edge Internet of things node from the state data; processing the executable capacity information and the performance parameters to form node capacity information corresponding to the construction requirement information; And acquiring the state characteristics of the first edge Internet of things node, and integrating the node capacity information and the state characteristics to generate the node description data.
- 8. The method as recited in claim 1, further comprising: detecting the operation load and the construction progress deviation of the second edge internet-of-things node in at least one construction stage; And if the running load is larger than a preset load threshold or the construction progress deviation is larger than a preset deviation threshold, triggering to reevaluate and control the configuration adjustment of the network role type of the second edge Internet of things node in the current construction stage.
Description
Smart city planning construction method based on edge Internet of things Technical Field The application relates to the technical field of the Internet of things at the edge of cities, in particular to a smart city planning construction method based on the edge Internet of things. Background With the continuous promotion of smart city construction, the scale of urban infrastructure projects is continuously enlarged, the complexity and diversity of construction tasks are remarkably increased, and a large number of edge internet of things nodes are generally deployed in a construction site and used for acquiring information such as construction equipment states, construction progress, environmental constraints and the like and assisting in construction management through data analysis. In existing smart city construction scenarios, edge commodity connection nodes typically determine functions and rights in the deployment phase, with their network roles and control configuration remaining fixed throughout the construction to complete construction management. However, in the existing smart city construction scene, because the edge internet of things node fixes the corresponding network role and control authority in the deployment stage, the adjustment cannot be performed according to the task characteristics and the construction site changes of different construction stages, the fixed deployment mode causes that node resources cannot be fully utilized, part of nodes may be in an idle state in some stages, and key control tasks cannot be born in other stages, so that the mode cannot flexibly match the construction requirements in different construction stages, and the resource utilization rate in the construction process is low. Disclosure of Invention The application provides a smart city planning construction method based on edge internet of things, which is characterized in that network role evaluation and control configuration adjustment are carried out on edge internet of things nodes deployed in a target planning area, node function self-adaptive reconstruction corresponding to a construction stage is realized, so that node resources can be flexibly distributed and efficiently utilized according to construction requirements of different stages in a construction process. In order to achieve the above purpose, the application adopts the following technical scheme: the application provides a smart city planning construction method based on edge internet of things, which can comprise the following steps: acquiring a planning data set corresponding to a target planning area, carrying out semantic analysis on the planning data set, and constructing construction requirement data corresponding to a construction stage, wherein a plurality of first edge Internet of things nodes are deployed in the target planning area; In the construction process, controlling the first edge internet of things node to acquire state data of corresponding construction equipment, and forming node description data of the first edge internet of things node according to the state data; Performing association analysis on the construction requirement data and the node description data of the first edge Internet of things node to obtain association degree scores of the first edge Internet of things node in the corresponding construction stage; according to the association degree score, determining a network role type of the first edge Internet of things node in a corresponding construction stage, and performing control configuration adjustment on the first edge Internet of things node based on the network role type to form a second edge Internet of things node; Controlling the second edge commodity connection node to acquire construction state data, and calculating a deviation relation between the construction state data and the construction requirement data; And generating corresponding construction control adjustment parameters based on the deviation relation, and controlling the second edge Internet of things node to control construction equipment and allocate tasks based on the construction control adjustment parameters. In some possible implementations, the network role types include a high-association role type and a low-association role type, and the determining, according to the association degree score, the network role type of the first edge internet of things node in a corresponding construction stage includes: Comparing the association degree score with a preset node dividing threshold value to obtain a comparison result; according to the comparison result, if the association degree score is greater than or equal to the node division threshold, dividing the first edge Internet of things node into high-association role types in the corresponding construction stage; And according to the comparison result, if the association degree score is smaller than the node division threshold, dividing the first edge Internet of things node into