Digital operation accelerates the development of urban rail transit and builds a subway management system
Advantages of digital twins
Improve reliability and availability. reduce risk. Reduce maintenance costs. Improve production. Create more value in less time.
system structure
Subway digital twin management system, the system first aims at the physical object of the subway station, and analyzes the characteristics of the physical object for the needs of security, environmental control, etc., establishes a three-dimensional virtual model, and integrates all the information generated in the design, construction, and operation and maintenance stages, with the help of sensors and equipment. Data such as history builds the interactive relationship between physical entities and virtual spaces, and ultimately provides users with various service applications. The system structure mainly includes the following four modules:
Tupu software
01
3D modeling
It is necessary to map the physical entity of the subway station one by one, including building structures such as walls, ceilings, floors, fan coils, water pipes and other components, and analyze the characteristics of other physical entities according to the goal of the final service application, that is, subway screen doors, Elevators, lighting, entrance and exit gates, fire hydrants, fire alarms and other facilities. The establishment of a 3D virtual model is the cornerstone of the digital twin system, and both information fusion and predictive analysis must be based on the virtual model.
1. Overall overview of the platform
2. Overall overview of the station hall
3. Automatic ticket vending machine
4. Security inspection machine
5. Import and export turnstiles
02
Operation and maintenance information
Integrate all information generated during the design, construction and operation and maintenance phases into the twin system, such as user information, equipment information, procurement information, warranty information, and financial information. Realize the integration of models and information, simplify business processes and solutions, and provide the possibility for efficient operation and maintenance.
03
virtual reality interaction
Use sensors to collect real-time data, and complete the virtual-real interaction between the physical world and the virtual space based on the historical operating data of each device. The real-time data dynamically acquired by the sensor, combined with the operating history data and current status of the lighting system, monitoring system, heating system and other systems, is stored in the server, providing the necessary prerequisite for the construction of the virtual space. In the virtual space, based on the three-dimensional virtual model, different calculation methods are used to obtain the corresponding operation strategy, environmental control strategy and energy consumption prediction scheme.
04
predictive analysis
Read the relevant data in the server, obtain the historical data of the subway passenger flow in and out of the station, and calculate and predict the passenger flow in and out of the station in advance according to the passenger flow data of different time periods, different weeks, and different months, and according to different weight ratios. On this basis, it is possible to rationally dispatch subway staff according to the forecasted passenger flow, adjust the security inspection channel of the subway, and choose a reasonable plan to deal with the high and low peak hours of passenger flow in the subway station, so as to help the smooth operation of the subway station.
Tupu software
According to the relevant data in the server, the three-dimensional distribution of temperature, humidity and air quality at different locations on the subway station is calculated and visualized. On this basis, the thermal comfort of different planes and boundary surfaces can be calculated to ensure the thermal comfort of the subway environment. At the same time, it can analyze the energy consumption of different ventilation, cooling and heating schemes, choose a reasonable scheme to control energy consumption, and save operation and maintenance costs.
Tupu software
Summarize
For a large-scale and densely populated major facility like the subway, it is very necessary to monitor and control its environmental quality, satisfy the comfort experience of passengers and ensure the personal safety of passengers in emergencies. The traditional subway environmental control system adopts an automated management and control system. Faced with a large amount of operating status monitoring data obtained, it is difficult to present it in a visualized manner. Willdigital twin technologyCombined with the subway environmental control system, it has the following advantages:
3D visualization
digital twinIt breaks the traditional mode of integrating architectural information through plan drawings, and maps the physical real-world architectural models through 3D modeling technology.It can realistically restore the architectural structure, piping system, ventilation and air conditioning system, elevator system, security alarm system, etc. of the subway station, while covering all geometry, material and state information.
full life cycle
digital twinInformation integration from planning and design to construction to operation and maintenance stages ensures the integrity and consistency of data throughout the entire life cycle of a subway station.It improves the disadvantages of storing the information in the design and construction stages and the information in the operation and maintenance stage separately in the traditional model, and reduces maintenance costs.
predictive analytics
digital twinThe introduction of technology provides the basis for predictive decision-making and analysis.Use sensors to monitor key data of high-power or flammable and explosive dangerous goods;With the help of deep learning algorithm, the image of passenger behavior collected by monitoring can be analyzed;According to the configuration of the ventilation and air conditioning system and the data collected by the sensors, etc., the thermal comfort of the station is analyzed, and the energy consumption is predicted at the same time.
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