CN-121974213-A - Method for realizing real-time operation effect of digital twin elevator

CN121974213ACN 121974213 ACN121974213 ACN 121974213ACN-121974213-A

Abstract

The invention relates to a method for realizing the real-time operation effect of a digital twin elevator, which is applicable to the technical field of digital twin. The method comprises the steps of acquiring an elevator running state data set from the rear end at intervals of a first time, acquiring an elevator running state data set from an elevator sensor at intervals of a second time by the rear end, judging whether floors where an elevator is located at the beginning and the end of the first time interval are identical based on the current acquired elevator running state data set and the elevator running state data set acquired in the last time after the elevator running state data set is acquired from the rear end, determining a height value corresponding to the elevator based on the floors if the floors are identical, updating an elevator height value in a digital twin model based on the height value, determining the height value corresponding to the elevator based on the current floor if the floors are not identical, and dynamically interpolating the elevator position at the beginning of the second time interval to the elevator position at the end of the second time interval by combining the current elevator height value of the digital twin model to adjust the elevator height value in the digital twin model.

Inventors

WANG LEI
SUN YUTING
Liu Longcan
ZHOU DONGCHENG
LAI QINGTAO
ZHUO SHENGHAO
LI YU
CHEN LU

Assignees

中国电建集团华东勘测设计研究院有限公司

Dates

Publication Date: 20260505
Application Date: 20251219

Claims (10)

1. A method for implementing the real-time operation effect of a digital twin elevator, which is characterized by comprising the following steps: S100, acquiring an elevator running state data set from a rear end at intervals of a first time, and acquiring the elevator running state data set from an elevator sensor at intervals of a second time by the rear end; The second time interval is greater than the first time interval and the second time interval is greater than the maximum delay between the back end and the elevator sensor; S200, after the elevator running state data set is acquired from the rear end, judging whether floors of the elevator at the beginning and the end of a first time interval are the same or not based on the current acquired elevator running state data set and the elevator running state data set acquired in the last time; if the height values are the same, determining the height value corresponding to the elevator based on the floor, and updating the height value of the elevator in the digital twin model based on the height value; If the elevator height values are different, determining the corresponding height values of the elevator based on the current floor, combining the current height values of the elevator in the digital twin model, and dynamically interpolating the elevator position at the beginning of the second time interval to the elevator position at the end of the second time interval to adjust the elevator height values in the digital twin model.
2. The method for achieving a real-time operation effect of a digital twin elevator according to claim 1, wherein the second time interval is 1.5 times the first time interval.
3. The method for realizing the real-time operation effect of the digital twin elevator according to claim 1, wherein the first time interval is 2 seconds and the second time interval is 3 seconds.
4. The method for realizing the real-time operation effect of the digital twin elevator according to claim 1, wherein the elevator operation state data set comprises a floor where the elevator is located and an elevator operation state, and the elevator operation state is up, down or stop.
5. The method for realizing the real-time operation effect of the digital twin elevator according to claim 1, wherein the determining the corresponding height value of the elevator based on the floor and updating the height value of the elevator in the digital twin model based on the height value comprises: Presetting a Map container with a floor number as a Key Value and a corresponding height Value of each elevator as a Value; According to the input floor number, searching the height Z value of the corresponding elevator space coordinate; Determining the value of the current spatial position space coordinates (X, Y, Z) of the elevator; The value of X, Y in the space is kept unchanged, and the value of the elevator height Z in the digital twin model is updated.
6. The method for realizing the real-time operation effect of the digital twin elevator according to claim 1, wherein determining the corresponding height value of the elevator at the current floor, in combination with the current height value of the elevator in the digital twin model, dynamically interpolating the elevator position at the beginning of the second time interval to the elevator position at the end of the second time interval to adjust the elevator height value in the digital twin model, comprises: Presetting a Map container with a floor number as a Key Value and a corresponding height Value of each elevator as a Value; according to the input floor number, searching a Z0 value of the corresponding elevator space coordinate; determining the value of the current spatial position spatial coordinates (X0, Y0, Z0) of the elevator; Acquiring the value of the spatial coordinates (X1, Y1, Z1) of the elevator in the digital twin model at present; Linearly returning to the corresponding time axis node according to a given time interval; Dynamically interpolating from the elevator position at the beginning of the time interval to the elevator position at the end of the time interval to adjust the value of the height Z1 to Z2 when the elevator translates up and down in the digital twin model, wherein Z2 is the elevator height value determined by dynamic interpolation.
7. The method for realizing the real-time operation effect of the digital twin elevator according to claim 1, wherein the digital twin model comprises the step of introducing an illusion engine after the building BIM model containing the elevator is subjected to light weight treatment.
8. A device for realizing the real-time operation effect of a digital twin elevator, which is characterized by comprising: The data acquisition module is used for acquiring an elevator running state data set from the rear end at intervals of a first time, and the rear end acquires the elevator running state data set from the elevator sensor at intervals of a second time; the second time interval is greater than the first time interval and the second time interval is greater than a maximum delay between the end and the elevator sensor; The height updating module is used for judging whether the floors of the elevator at the beginning and the ending of the first time interval are the same based on the current acquired elevator running state data set and the previous acquired elevator running state data set after the elevator running state data set is acquired from the rear end; if the height values are the same, determining the height value corresponding to the elevator based on the floor, and updating the height value of the elevator in the digital twin model based on the height value; If the elevator height values are different, determining the corresponding height values of the elevator based on the current floor, combining the current height values of the elevator in the digital twin model, and dynamically interpolating the elevator position at the beginning of the second time interval to the elevator position at the end of the second time interval to adjust the elevator height values in the digital twin model.
9. A storage medium having stored thereon a computer program executable by a processor, characterized in that the computer program when executed realizes the steps of the method for realizing the real-time operation effect of a digital twin elevator according to any one of claims 1-7.
10. Computer device having a memory and a processor, the memory having stored thereon a computer program executable by the processor, characterized in that the computer program when executed realizes the steps of the method for realizing the real-time operation effect of a digital twin elevator according to any one of claims 1-7.

Description

Method for realizing real-time operation effect of digital twin elevator Technical Field The invention relates to a method for realizing the real-time operation effect of a digital twin elevator. Is suitable for the technical field of digital twinning. Background In digital twin engineering, the steps of realizing real-time synchronization of an elevator in a virtual scene are complex and the realization cost is high, and corresponding sensors and Internet of things equipment are required to be installed in the actual scene, so that various operation data (such as speed, position, vibration and the like) of the elevator can be acquired in real time, and the data are transmitted to a digital twin model for analysis. In emergency situations, such as fire or earthquake, the elevator digital twin system can optimize the evacuation path and emergency dispatch strategy of the elevator, and ensure the safe evacuation of personnel. In addition, the emergency drilling simulation can be performed, the emergency plan can be verified and optimized, virtual training is provided for maintenance personnel and rescue personnel, and the coping capacity is improved. The information sharing and collaborative operation are realized by comprehensively analyzing the internal and external environment data of the building and the elevator operation data, providing scientific basis for disaster prevention decision, and integrating with a building management system, a fire alarm system and the like. Under an emergency situation, the digital twinning can also transmit real-time information to an emergency command center to help a decision maker to make timely and accurate judgment, so that the disaster prevention capability of an elevated building is obviously improved, and the personnel safety and the risk resistance capability of the building are ensured. In the existing digital twin system, the real-time monitoring of the elevator is always a big pain point of building digitization, and is mainly characterized in the following two aspects: First, the continuity of elevator sensor data transmission is problematic. The elevator running environment is complex, the signal transmission condition in the elevator well is poor, the phenomenon of losing or delaying easily occurs in the transmission process of sensor data, and the elevator running data cannot be continuously and stably acquired. Second, the delay of the data collection also affects the accuracy of elevator digital twinning. The data is required to be collected from a plurality of sensors and transmitted to a central control system or a cloud end for processing and analysis, and the time delay in the process makes it difficult to accurately display the dynamic effect of the elevator in real time in a digital twin scene. The above problems cause that the running states of the elevator cannot be completely synchronized in the digital twin model, and the reliability and practicality of the system are affected. The current common technical means can improve the continuity and stability of data transmission by optimizing the sensor layout and improving the data transmission technology. For example, the reliability and speed of signal transmission can be enhanced by adopting a more efficient wireless communication protocol, such as 5G, loRa or Zigbee, so that stable and continuous transmission of sensor data can be ensured. Meanwhile, the application of the edge computing technology can also obviously reduce the data transmission delay. Under the edge computing architecture, partial data processing and analysis can be performed on edge nodes close to a data source, so that the time for data transmission to a central system is reduced, and the instantaneity and response speed are improved. On the other hand, advanced data processing and analysis methods, such as machine learning and artificial intelligence, can effectively compensate for delays and losses in data transmission. By intelligently predicting and supplementing the sensor data, the machine learning algorithm can still maintain continuous monitoring of the elevator operating state in the event of data transmission interruption or delay. In addition, the artificial intelligence technology can analyze a large amount of sensor data in real time, quickly identify and predict elevator faults, optimize maintenance strategies and further improve the reliability and safety of the system. However, while these technical approaches can significantly improve the performance and accuracy of digital twinning systems, they also inevitably increase construction costs. Optimizing sensor layout and employing efficient wireless communication protocols requires additional hardware investment, and deploying edge computing architectures requires additional computing resources and infrastructure. At the same time, applying machine learning and artificial intelligence techniques requires significant investment in research and development resourc