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CN-121998246-A - GIM and digital twinning-based substation hole digging pile construction supervision method and system

CN121998246ACN 121998246 ACN121998246 ACN 121998246ACN-121998246-A

Abstract

According to the method, environmental parameters, construction progress and position information are collected in real time through deployment of an Internet of things sensor network, a three-dimensional digital model is built based on a power grid information model standard, collected real-time data are mapped to corresponding positions of the model through sensor identifications and space coordinates to form a time sequence database, and a digital twin engine is utilized to continuously update model states, so that dynamic supervision and risk early warning of a construction process are achieved.

Inventors

  • CHEN CHAO
  • SU BAOLONG

Assignees

  • 广东隆建工程有限公司

Dates

Publication Date
20260508
Application Date
20260122

Claims (9)

  1. 1. The method for supervising the construction of the hole digging pile of the transformer substation based on the GIM and the digital twin is characterized by comprising the following steps: Receiving real-time monitoring data acquired by an Internet of things sensor network, wherein the real-time monitoring data comprises environment parameter data, construction progress data and personnel position data, and the real-time monitoring data comprises sensor identification information and space coordinate information; Establishing a three-dimensional model of substation construction according to a power grid information model standard, wherein the three-dimensional model comprises spatial layout information of a construction site and preset sensor installation position information; Based on the sensor identification information, the space coordinate information and the space layout information, establishing a mapping relation between the real-time monitoring data and a corresponding preset sensor installation position in the three-dimensional model, and recording in time sequence to form time sequence data; According to the time sequence data, invoking a digital twin engine program to dynamically update the state information of the three-dimensional model; and carrying out construction risk analysis based on the state information, and generating an early warning signal when abnormality is detected.
  2. 2. The method of claim 1, wherein after the step of receiving real-time monitoring data collected by the internet of things sensor network, the method further comprises: Acquiring temperature data, humidity data and vibration data in the environmental parameter data; calculating an environmental parameter variation trend based on the temperature data, the humidity data and the vibration data; determining an environmental risk level according to the environmental parameter change trend and a preset alarm threshold; And taking the environmental risk grade as an input parameter of the construction risk analysis.
  3. 3. The method of claim 1, wherein after the step of receiving real-time monitoring data collected by the internet of things sensor network, the method further comprises: obtaining pile foundation construction depth data, concrete casting quantity data and steel reinforcement cage installation position data in the construction progress data; Calculating the single pile construction progress completion rate based on the pile foundation construction depth data and the concrete casting quantity data, wherein the single pile construction progress completion rate comprises the ratio of pile foundation excavation depth to design depth and the ratio of concrete actual casting quantity to design casting quantity; Determining the installation compliance of the reinforcement cage according to the reinforcement cage installation position data, wherein the installation compliance comprises the perpendicularity of the center line of the reinforcement cage, the thickness of the protective layer and the deviation value of the joint position; Inputting the completion rate of the single pile construction progress and the installation compliance of the reinforcement cage into a construction progress prediction model, and calculating progress deviation; And when the progress deviation exceeds a preset threshold, generating a construction optimization suggestion.
  4. 4. The method according to claim 1, wherein after the step of modeling the three-dimensional model of the substation construction according to the grid information model criteria, the method further comprises: acquiring structural layout information and equipment installation position information in the three-dimensional model; Establishing a construction site space constraint model based on the structural layout information and the equipment installation position information, wherein the structural layout information is divided into construction operation areas, the equipment installation positions are marked in the construction operation areas, and space constraint conditions for equipment movement are determined according to the construction operation areas and the equipment installation positions; According to the space constraint model, monitoring the space position relation between construction equipment in real time; And when the equipment distance is detected to be smaller than the safety distance, generating a safety avoidance path.
  5. 5. The method of claim 1, wherein after the step of invoking the digital twin engine program to dynamically update the state information of the three-dimensional model, the method further comprises: Acquiring component installation position deviation information and procedure completion progress information in the state information; Comparing the component mounting position deviation information with a construction quality control standard, and calculating an adjustment parameter when the deviation is detected to exceed an allowable value, wherein the method comprises the steps of extracting space coordinate data in the component mounting position deviation information, comparing the space coordinate data with a design position, and calculating a required displacement and an adjustment angle; Generating execution time of the subsequent process according to the process completion progress information; and updating the adjustment parameters and the execution time into the three-dimensional model.
  6. 6. The method according to claim 1, wherein the step of performing construction risk analysis based on the state information, and generating an early warning signal when an abnormality is detected, specifically comprises: acquiring equipment operation state information and personnel position data in the state information; Calculating a real-time distance between devices based on the device operation state information; generating an anti-collision early warning signal when the real-time distance is smaller than a preset safety distance, wherein the moving direction of the equipment is predicted according to a preset motion track model, and the minimum safety distance between the equipment is calculated; Judging whether personnel enter a dangerous operation area according to the personnel position data; When detecting that personnel illegally enter, outputting the control instruction.
  7. 7. GIM and digital twinning-based substation hole digging pile construction supervision system is characterized in that the system comprises: One or more processors and memory coupled with the one or more processors, the memory to store computer program code, the computer program code comprising computer instructions that the one or more processors invoke to cause the system to perform the method of any of claims 1-6.
  8. 8. A computer readable storage medium comprising instructions which, when run on a system, cause the system to perform the method of any of claims 1-6.
  9. 9. A computer program product, characterized in that the computer program product, when run on a system, causes the system to perform the method according to any of claims 1-6.

Description

GIM and digital twinning-based substation hole digging pile construction supervision method and system Technical Field The application belongs to the field of digital twinning of transformer substations, and particularly relates to a method and a system for monitoring construction of a hole digging pile of a transformer substation based on GIM and digital twinning. Background The construction of the hole digging pile is a key link in the construction process of the transformer substation, and the construction quality of the hole digging pile directly influences the safe operation and the service life of the transformer substation. At present, the construction supervision of the transformer substation hole digging pile is mainly carried out in a field inspection mode. However, the conventional inspection mode has the problems of low monitoring frequency, lag in data acquisition, untimely information transmission and the like, and is difficult to realize real-time monitoring on a construction site. Meanwhile, the field detection result lacks quantitative evaluation standards, cannot form standard data records, and is easy to miss construction hidden trouble. In the related art, although a single-point sensor is adopted for local monitoring, a complete construction state sensing network cannot be formed due to scattered sensor distribution and non-uniform data format. In addition, the existing monitoring system generally lacks the deep analysis and linkage processing capability of multi-source monitoring data, and potential construction risks are difficult to discover and early warn in time. However, as the construction environment of the transformer substation is increasingly complex, the existing supervision mode is difficult to meet the requirements of fine and intelligent construction management. Particularly under complex geological conditions, due to the lack of comprehensive monitoring and effective early warning mechanisms on construction sites, construction quality problems and safety accidents are easy to occur, and the situation needs to be further improved. Disclosure of Invention The application provides a substation hole digging pile construction supervision method based on GIM and digital twinning, which is used for solving the technical problems that the prior monitoring system is difficult to realize comprehensive perception, data association and risk early warning. According to the method, environmental parameters, construction progress and position information are collected in real time through deployment of an Internet of things sensor network, a three-dimensional digital model is built based on a power grid information model standard, collected real-time data are mapped to corresponding positions of the model through sensor identifications and space coordinates to form a time sequence database, and a digital twin engine is utilized to continuously update model states, so that dynamic supervision and risk early warning of the construction process are achieved. In a first aspect, the application provides a substation hole digging pile construction supervision method based on GIM and digital twinning, which comprises the following steps: Receiving real-time monitoring data acquired by an Internet of things sensor network, wherein the real-time monitoring data comprises environment parameter data, construction progress data and personnel position data, and the real-time monitoring data comprises sensor identification information and space coordinate information; Establishing a three-dimensional model of substation construction according to a power grid information model standard, wherein the three-dimensional model comprises spatial layout information of a construction site and preset sensor installation position information; Based on the sensor identification information, the space coordinate information and the space layout information, establishing a mapping relation between the real-time monitoring data and a corresponding preset sensor installation position in the three-dimensional model, and recording in time sequence to form time sequence data; According to the time sequence data, invoking a digital twin engine program to dynamically update the state information of the three-dimensional model; and carrying out construction risk analysis based on the state information, and generating an early warning signal when abnormality is detected. According to the technical scheme, the system comprises the steps of firstly deploying an Internet of things sensor network to collect real-time monitoring data, wherein the real-time monitoring data comprises environment parameter data, construction progress data and constructor position data, each piece of data comprises identification information and space coordinate information of a corresponding sensor, then constructing a three-dimensional model of substation construction according to a power grid information model standard, the model comprises spac