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CN-121997429-A - BIM technology-based intelligent park building visual management method and system

CN121997429ACN 121997429 ACN121997429 ACN 121997429ACN-121997429-A

Abstract

The invention relates to a building model visualization technology, and discloses a building visualization management method and system for an intelligent park based on a BIM technology, wherein the method comprises the following steps: the method comprises the steps of collecting park building structure, equipment energy consumption and cable arrangement data through sensors, constructing a BIM simulation model based on the data, generating a multi-level simulation model comprising an equipment topology layer and an energy consumption current layer, constructing an equipment abnormal energy consumption identification map by combining equipment topology and energy consumption data, identifying park abnormal energy consumption events according to the equipment abnormal energy consumption identification map and outputting identification results, carrying out equipment tracing according to abnormal point information and an energy consumption current layer view if abnormality exists, positioning a problem source, and finally sending a control instruction to source equipment determined by tracing through an Internet of things interface, so that closed-loop management and control of abnormal energy consumption are realized. The method can improve the efficiency and the accuracy of identifying the abnormal energy consumption of the equipment in the target building.

Inventors

  • YANG JING

Assignees

  • 上海赛扬建筑科技有限公司

Dates

Publication Date
20260508
Application Date
20260127

Claims (10)

  1. 1. The intelligent park building visual management method based on BIM technology is characterized by comprising the following steps: acquiring building structure data and equipment energy consumption data of a target park based on a preset sensor, and acquiring cable arrangement data of the target park; Performing BIM simulation according to the building structure data, the equipment energy consumption data and the cable arrangement data to obtain a multi-level simulation model comprising an equipment topology layer view and an energy consumption current layer view of the target park; Constructing an equipment abnormal energy consumption identification map based on the equipment topological layer view of the multi-level simulation model and the equipment energy consumption data, and identifying an abnormal energy consumption event of the target park according to the equipment abnormal energy consumption identification map to obtain an abnormal energy consumption event identification result; When the abnormal energy consumption event exists in the target park according to the abnormal energy consumption event identification result, carrying out abnormal energy consumption equipment tracing according to the abnormal energy consumption point information contained in the abnormal energy consumption event identification result and the energy consumption layer view of the multi-level simulation model to obtain an equipment tracing result; Mapping the equipment tracing result back to the equipment abnormal energy consumption identification map, initiating dynamic pulse waves from the abnormal energy consumption point to source equipment in the equipment tracing result in the multi-level simulation model based on causal connection weights and abnormal propagation probabilities in the equipment abnormal energy consumption identification map, and performing fault positioning based on visual guidance according to the confidence level and the abnormal severity level of pulse intensity, color and frequency coding tracing paths to obtain a positioning result; Generating a first control strategy and a second control strategy according to the positioning result, dynamically deducting according to the first control strategy and the second control strategy by utilizing the multi-level simulation model to obtain a deduction result, and confirming the optimal strategy in the first control strategy and the second control strategy according to the deduction result; And generating a control instruction according to the optimal strategy, and sending the control instruction to source equipment corresponding to the positioning result in the target park based on a preset internet of things interface.
  2. 2. The building visual management method for intelligent parks based on the BIM technology according to claim 1, wherein the acquiring building structure data and equipment energy consumption data of the target parks based on the preset sensor includes: acquiring building structure point cloud data of the target park by using a preset three-dimensional laser sensor to obtain an initial point cloud data set; denoising the initial point cloud data set to obtain a denoised point cloud data set; Registering the point cloud data in the denoising point cloud data set with a preset three-dimensional coordinate system to obtain a registered point cloud data set; Acquiring equipment energy consumption data in the target park based on an energy consumption sensor preset in each energy consumption equipment; acquiring position information of each energy consumption sensor based on radio communication; acquiring the position parameter of each energy consumption device according to a preset sensor-device mapping table and the position information of each energy consumption sensor; and adding the position information of the energy consumption equipment in the registered point cloud data set according to the position parameters to obtain building structure data.
  3. 3. The building visual management method of a smart park based on the BIM technology according to claim 1, wherein the performing BIM simulation according to the building structure data, the equipment energy consumption data and the cable arrangement data to obtain a multi-level simulation model including an equipment topology layer view and an energy consumption current layer view of the target park includes: Building a BIM meta model based on a semantic frame according to the building structure data, the equipment energy consumption data and the cable arrangement data; constructing a physical topological relation matrix between energy consumption devices according to the cable arrangement data by utilizing the BIM meta model; Generating a building structure layer view of the target park by using the BIM meta-model; and constructing a multi-level simulation model comprising a device topology layer view and an energy consumption layer view of the target park according to the physical topology relation matrix and the building structure layer view.
  4. 4. The building visualization management method of the smart park based on the BIM technology according to claim 2, wherein the constructing a multi-level simulation model including the device topology layer view and the energy consumption layer view of the target park according to the physical topology relation matrix and the building structure layer view includes: Constructing a device topology layer view of the target park according to the physical topology relation matrix and the building structure layer view; identifying a hierarchical relationship between energy consumption devices according to the device energy consumption data and the physical topological relationship matrix; Establishing an energy flow direction relation between energy consumption devices according to the hierarchical relation; Constructing an energy consumption current layer view of the target park according to the energy flow direction relation and the physical topological relation matrix; and integrating the building structure layer view, the equipment topology layer view and the energy consumption layer view into the BIM meta model to obtain a multi-level simulation model.
  5. 5. The smart park building visualization management method based on the BIM technology according to claim 2, wherein the constructing the semantic frame-based BIM meta-model based on the building structure data, the device power consumption data, and the cable arrangement data includes: constructing a semantic frame based on a preset frame standard to obtain a standard semantic frame; Carrying out semantic processing on the building structure data to obtain semantic building structure data; Acquiring energy consumption equipment position data in the building structure data, and mapping the equipment energy consumption data to a preset BIM entity according to the energy consumption equipment position data to obtain an equipment semantic model; Extracting an energy transmission direction and a topological structure between energy consumption devices based on a physical connection relation in the cable arrangement data to obtain a cable semantic model; And fusing the semantic building structure data, the equipment semantic model and the cable semantic model into the standard semantic frame to obtain a BIM meta model.
  6. 6. The building visual management method for intelligent parks based on the BIM technology according to claim 1, wherein the building of the device abnormal energy consumption identification map based on the device topology layer view of the multi-level simulation model and the device energy consumption data includes: Acquiring an operation state log of each energy consumption device in the target park, and acquiring environment data of the target park; aligning the running state log, the environment data and the equipment energy consumption data to construct a multidimensional feature matrix; converting the device topology layer view into a device relation diagram containing connection relations among energy consumption devices; and constructing an equipment abnormal energy consumption identification map according to the multi-dimensional feature matrix and the equipment relation diagram.
  7. 7. The building visual management method for intelligent parks based on the BIM technology according to claim 1, wherein the constructing the device abnormal energy consumption identification map according to the multidimensional feature matrix and the device relation diagram includes: Constructing causal connection weights among energy consumption devices in the device relation diagram according to the multidimensional feature matrix; Calculating connection correlation between energy consumption devices in the device relation diagram according to the multi-dimensional feature matrix; acquiring historical abnormal data of each energy consumption device in the target park, and calculating abnormal propagation probability among the energy consumption devices in the device relation graph according to the historical abnormal data; And constructing causal connection edges, correlation connection edges and abnormal propagation edges among energy consumption devices in the device relation graph according to the causal connection weights, the connection correlations and the abnormal propagation probabilities respectively to obtain a device abnormal energy consumption identification map.
  8. 8. The building visual management method of intelligent park based on the BIM technology according to claim 1, wherein the step of tracing the abnormal energy consumption device according to the abnormal energy consumption point information contained in the abnormal energy consumption event identification result and the energy consumption layer view of the multi-level simulation model to obtain a device tracing result comprises the following steps: Identifying abnormal event characteristics of the abnormal energy consumption event identification result; Generating a tracing path table according to the energy consumption current layer view; Confirming abnormal sub-equipment according to the abnormal energy consumption event identification result; performing multi-level reverse tracing according to the abnormal sub-equipment and the tracing path table to obtain a multi-level tracing path tree; identifying key nodes in the multi-level tracing path tree to obtain a key node list; And carrying out abnormal energy consumption equipment tracing according to the key node list and the multi-level tracing path tree to obtain equipment tracing results.
  9. 9. The building visual management method of intelligent park based on the BIM technology according to claim 8, wherein the performing abnormal energy consumption equipment tracing according to the key node list and the multi-level tracing path tree to obtain an equipment tracing result includes: performing abnormal time sequence analysis on each trace-source path of the multi-level trace-source path tree according to the key node list and the equipment energy consumption data to obtain a time sequence analysis result; Calculating the time sequence confidence of each tracing path of the multi-level tracing path tree according to the time sequence analysis result, and screening a preset number of tracing paths from the multi-level tracing path tree according to the sequence from the high time sequence confidence to the low time sequence confidence to obtain a path set; confirming an abnormal time point according to the abnormal energy consumption event identification result, and acquiring detailed energy consumption data of each energy consumption device at the abnormal time point from the device energy consumption data; Calculating the ratio of the total energy output by upstream equipment at the abnormal time point to the total energy output by downstream equipment at the abnormal time point in each path in the path set according to the detailed energy consumption data to obtain the abnormal contribution degree of each path; and confirming that the path with the highest abnormal contribution degree is an abnormal path, and confirming that the source equipment in the abnormal contribution degree is a final equipment tracing result.
  10. 10. An intelligent park building visual management system based on a BIM technology, which is characterized by comprising: The system comprises a data acquisition module, a data distribution module and a data distribution module, wherein the data acquisition module is used for acquiring building structure data and equipment energy consumption data of a target park based on a preset sensor and acquiring cable arrangement data of the target park; The model building module is used for performing BIM simulation according to the building structure data, the equipment energy consumption data and the cable arrangement data to obtain a multi-level simulation model comprising an equipment topology layer view and an energy consumption current layer view of the target park; The abnormal recognition module is used for constructing an equipment abnormal energy consumption recognition graph based on the equipment topological layer view of the multi-level simulation model and the equipment energy consumption data, recognizing an abnormal energy consumption event of the target park according to the equipment abnormal energy consumption recognition graph, and obtaining an abnormal energy consumption event recognition result; The abnormal tracing module is used for tracing abnormal energy consumption equipment according to abnormal energy consumption point information contained in the abnormal energy consumption event identification result and an energy consumption stratum view of the multi-level simulation model when the abnormal energy consumption event exists in the target park according to the abnormal energy consumption event identification result, obtaining an equipment tracing result, mapping the equipment tracing result back to the equipment abnormal energy consumption identification map, initiating dynamic pulse waves from the abnormal energy consumption point to source equipment in the equipment tracing result in the multi-level simulation model based on causal connection weight and abnormal propagation probability in the equipment abnormal energy consumption identification map, and performing fault location based on visual guidance according to the pulse intensity, color, confidence level of a frequency coding tracing path and abnormal severity level to obtain a location result; The instruction sending module is used for generating a first control strategy and a second control strategy according to the positioning result, carrying out dynamic deduction according to the first control strategy and the second control strategy by utilizing the multi-level simulation model to obtain a deduction result, confirming optimal strategies in the first control strategy and the second control strategy according to the deduction result, generating a control instruction according to the optimal strategies, and sending the control instruction to source equipment corresponding to the positioning result in the target park based on a preset Internet of things interface.

Description

BIM technology-based intelligent park building visual management method and system Technical Field The invention relates to the technical field of building model visualization, in particular to a building visualization management method and system for an intelligent park based on BIM technology. Background Along with the deep development of smart city construction, the energy fine management of the smart park has become an important subject for improving the operation efficiency and realizing sustainable development. Currently, for monitoring and management of power consumption in a campus, a technical path commonly adopted in the industry is mainly based on preliminary combination of a building information model and the internet of things. Specifically, in the prior art, energy consumption data are collected through deployment of various sensors, and are overlaid on a three-dimensional BIM model for visual display, so that monitoring of energy consumption item division, household division and time division conditions is realized. And a manager can visually check the real-time energy consumption reading and history curves of each area and each device through the visual interface. However, such prior art solutions have significant limitations at the deep diagnostic and active management level, such as how much visualization functionality resides at the data presentation level, i.e. mapping sensor readings only to numerical values or simple graphs on the model, lacking in the deep analysis and visual presentation of the intrinsic relevance of energy consumption data, propagation paths and sources of anomalies. When abnormal energy is consumed, the system can only alarm and display abnormal values, and the abnormal sources and influence paths thereof cannot be automatically traced, so that the investigation efficiency is low, the manual experience is relied on, and the efficiency and the accuracy of equipment energy consumption abnormality identification are reduced. Disclosure of Invention The invention provides a BIM technology-based intelligent park building visual management method and system, and mainly aims to solve the problem that the existing intelligent park building visual management method cannot identify abnormal energy consumption of abnormal equipment. In order to achieve the above purpose, the present invention provides a building visual management method for an intelligent park based on a BIM technology, which comprises: acquiring building structure data and equipment energy consumption data of a target park based on a preset sensor, and acquiring cable arrangement data of the target park; Performing BIM simulation according to the building structure data, the equipment energy consumption data and the cable arrangement data to obtain a multi-level simulation model comprising an equipment topology layer view and an energy consumption current layer view of the target park; Constructing an equipment abnormal energy consumption identification map based on the equipment topological layer view of the multi-level simulation model and the equipment energy consumption data, and identifying an abnormal energy consumption event of the target park according to the equipment abnormal energy consumption identification map to obtain an abnormal energy consumption event identification result; When the abnormal energy consumption event exists in the target park according to the abnormal energy consumption event identification result, carrying out abnormal energy consumption equipment tracing according to the abnormal energy consumption point information contained in the abnormal energy consumption event identification result and the energy consumption layer view of the multi-level simulation model to obtain an equipment tracing result; Mapping the equipment tracing result back to the equipment abnormal energy consumption identification map, initiating dynamic pulse waves from the abnormal energy consumption point to source equipment in the equipment tracing result in the multi-level simulation model based on causal connection weights and abnormal propagation probabilities in the equipment abnormal energy consumption identification map, and performing fault positioning based on visual guidance according to the confidence level and the abnormal severity level of pulse intensity, color and frequency coding tracing paths to obtain a positioning result; Generating a first control strategy and a second control strategy according to the positioning result, dynamically deducting according to the first control strategy and the second control strategy by utilizing the multi-level simulation model to obtain a deduction result, and confirming the optimal strategy in the first control strategy and the second control strategy according to the deduction result; And generating a control instruction according to the optimal strategy, and sending the control instruction to source equipment corresponding to the positioning resul