CN-122022249-A - Underground space energy management system based on digital twin technology

CN122022249ACN 122022249 ACN122022249 ACN 122022249ACN-122022249-A

Abstract

The application provides an underground space energy management system based on a digital twin technology, which comprises a data processing module, a disaster prevention prediction module and a disaster prevention management module, wherein the data processing module is used for collecting operation data and layout data of an energy system of an underground space, constructing a digital twin body according to the operation data, the layout data and a preset simulation model, the disaster prevention prediction module is used for carrying out simulation deduction on a monitored disaster scene through the digital twin body to generate a disaster prevention prediction report, and the disaster prevention management module is used for generating a disaster prevention scheduling strategy according to the disaster prevention prediction report.

Inventors

SHAO FENG
ZHANG JIGANG

Assignees

青岛理工大学

Dates

Publication Date: 20260512
Application Date: 20251223

Claims (8)

1. A digital twinning technology-based underground space energy management system, comprising: the data processing module is used for collecting operation data and layout data of an energy system of the underground space and constructing a digital twin body according to the operation data, the layout data and a preset simulation model; The disaster prevention prediction module is used for carrying out simulation deduction on the monitored disaster situation through the digital twin body to generate a disaster prevention prediction report; and the disaster prevention management module is used for generating a disaster prevention scheduling strategy according to the disaster prevention prediction report.
2. The underground space energy management system based on the digital twin technology as set forth in claim 1, wherein the simulation model comprises a first BIM model and a GIS model, the first BIM model is a three-dimensional simulation model of the underground space, and the data processing module is specifically configured to execute when executing operation data and layout data of an energy system for collecting the underground space, and constructing a digital twin body according to the operation data, the layout data and a preset simulation model: based on the layout data, configuring the equipment layout and pipeline connection relation of the energy system in the BIM model to generate a second BIM model; Performing operation logic assignment on the energy system in the second BIM model based on the operation data to generate a third BIM model; And carrying out coordinate registration on the third BIM model and the GIS model to construct a digital twin body, wherein the digital twin body takes disaster prediction data provided by the GIS model as simulation boundary conditions.
3. The underground space energy management system based on the digital twin technology as defined in claim 2, wherein the disaster prevention prediction module is specifically configured to, when configured to perform simulation deduction of the monitored disaster scenario through the digital twin, generate a disaster prevention prediction report, perform: Based on the GIS model, acquiring a disaster scenario type and an intensity parameter, and generating a disaster parameter set according to the disaster scenario type and the intensity parameter; based on the third BIM model, simulating the direct influence of the disaster on the energy system according to the disaster parameter set, and generating a damage evaluation result; And generating a disaster prevention prediction report according to the damage evaluation result based on the third BIM model.
4. The underground space energy management system based on digital twin technology as defined in claim 3, wherein the disaster prevention prediction module, when being configured to execute the third BIM model, is specifically configured to execute: In the third BIM model, determining an affected equipment list according to the disaster scenario type, wherein the affected equipment list comprises an energy equipment type and a space range; Calculating a damage coefficient and a damage degree based on the affected equipment list and the intensity parameter; And generating a damage evaluation result according to the damage coefficient and the damage degree.
5. The digital twinning technology based underground space energy management system of claim 3, wherein the disaster prevention prediction module, when configured to execute the generation of the disaster prevention prediction report based on the third BIM model according to the damage assessment result, is specifically configured to execute: determining a fault propagation path according to the damage evaluation result in the third BIM model; And generating a disaster prevention prediction report based on the fault propagation path.
6. The underground space energy management system based on digital twinning technology according to claim 1, wherein the disaster prevention management module is configured to execute a disaster prevention scheduling policy generated according to the disaster prevention prediction report, specifically configured to execute: based on the energy supply capability change trend in the disaster prevention prediction report, an emergency energy supply scheme and an equipment switching sequence are formulated, and a scheduling instruction set is generated; And converting the scheduling instruction set into a standardized control protocol, and transmitting the standardized control protocol to the execution equipment in the energy system through a communication interface.
7. The system for managing energy in a space under ground based on digital twin technology according to claim 1, wherein said energy system comprises at least one of a power supply and distribution system, a heating ventilation and air conditioning system and a gas system, and said executing device comprises at least one of a circuit breaker, a valve, a fan and a pump group.
8. The digital twinning technology based underground space energy management system of claim 5, wherein in the third BIM model, a fault propagation path is determined according to the damage assessment result, specifically for performing: In the third BIM model, a directed graph model is built based on the equipment layout and pipeline connection relation of the energy system, and the directed graph model comprises a plurality of equipment nodes; and calculating the fault probability of the equipment node according to the damage evaluation result, wherein a specific calculation formula is as follows: ; wherein Pf (j) is the probability that the node j becomes a fault propagation path node, ds (j) is the damage state coefficient of the node j, eta j is the vulnerability index of the node j, k is the total number of fault nodes with connection relation with the node j, df (i) is the damage degree of the failed node i, tij is the transmission coupling coefficient between the node i and the node j, dij is the network distance between the node i and the node j, and sigma is the fault propagation attenuation constant; And setting the equipment node with the fault probability larger than a preset probability threshold as a fault node, and determining a fault propagation path according to the fault node.

Description

Underground space energy management system based on digital twin technology Technical Field The application relates to the technical field of digital twinning, in particular to a subsurface space energy management system based on the digital twinning technology. Background With the rapid development of urban and industrialized production in China, overground space resources are increasingly tense, and development and utilization of underground space become an important way for relieving urban problems and expanding development dimension. Under the promotion of industrialization, the underground space of China undergoes the evolution from civil air defense engineering, underground communication to multifunctional complex and the like, and the number of functional blocks of the underground space is increased increasingly. However, the energy systems of all the functional blocks of the underground space are independently planned, and although individual functional blocks depend on modern information technology, the energy management efficiency is improved, but the underground space does not form a unified visual management system, the overall management difficulty is high, and the adjustment reaction time is long. Especially in the urban disaster prevention and reduction process, the existing energy management system of the underground space still has the problems of management confusion and energy adjustment lag, and the disaster prevention and reduction efficiency is seriously affected. Disclosure of Invention The application provides an underground space energy management system based on a digital twin technology, which is used for improving the management level and the adjustment efficiency of an energy system of an underground space. In a first aspect, an embodiment of the present application provides a system for managing energy in a space under the ground based on digital twin technology, the system comprising: the data processing module is used for collecting operation data and layout data of an energy system of the underground space and constructing a digital twin body according to the operation data, the layout data and a preset simulation model; The disaster prevention prediction module is used for carrying out simulation deduction on the monitored disaster situation through the digital twin body to generate a disaster prevention prediction report; and the disaster prevention management module is used for generating a disaster prevention scheduling strategy according to the disaster prevention prediction report. In some embodiments, the simulation model comprises a first BIM model and a GIS model, wherein the first BIM model is a three-dimensional simulation model of the underground space, and the data processing module is specifically used for executing when executing operation data and layout data of an energy system for collecting the underground space and constructing a digital twin body according to the operation data, the layout data and a preset simulation model: based on the layout data, configuring the equipment layout and pipeline connection relation of the energy system in the BIM model to generate a second BIM model; Performing operation logic assignment on the energy system in the second BIM model based on the operation data to generate a third BIM model; And carrying out coordinate registration on the third BIM model and the GIS model to construct a digital twin body, wherein the digital twin body takes disaster prediction data provided by the GIS model as simulation boundary conditions. In some embodiments, the disaster prevention prediction module is configured to, when configured to perform simulation deduction on the monitored disaster scenario through the digital twin, generate a disaster prevention prediction report, specifically perform: Based on the GIS model, acquiring a disaster scenario type and an intensity parameter, and generating a disaster parameter set according to the disaster scenario type and the intensity parameter; based on the third BIM model, simulating the direct influence of the disaster on the energy system according to the disaster parameter set, and generating a damage evaluation result; And generating a disaster prevention prediction report according to the damage evaluation result based on the third BIM model. In some embodiments, the disaster prevention prediction module, when configured to perform simulating a direct impact of a disaster on the energy system according to the disaster parameter set based on the third BIM model, is specifically configured to perform: In the third BIM model, determining an affected equipment list according to the disaster scenario type, wherein the affected equipment list comprises an energy equipment type and a space range; Calculating a damage coefficient and a damage degree based on the affected equipment list and the intensity parameter; And generating a damage evaluation result according to the damage coefficient and