CN116611582A - Meta universe system of subway station - Google Patents

Meta universe system of subway station Download PDF

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Publication number
CN116611582A
CN116611582A CN202310862015.8A CN202310862015A CN116611582A CN 116611582 A CN116611582 A CN 116611582A CN 202310862015 A CN202310862015 A CN 202310862015A CN 116611582 A CN116611582 A CN 116611582A
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subway station
simulation
station
module
subway
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白欲立
田日辉
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Lenovo New Vision Beijing Technology Co Ltd
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Lenovo New Vision Beijing Technology Co Ltd
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    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00Three dimensional [3D] modelling, e.g. data description of 3D objects
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
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    • Y02P90/84Greenhouse gas [GHG] management systems

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Abstract

The application provides a subway station meta-universe system which comprises an acquisition module, a scene construction module, an environment simulation module and a carbon emission simulation module. The scene construction module is configured to generate a real-time subway scene model based on the station three-dimensional model, the real-time passenger flow data and the key equipment operation data. The environmental simulation module is configured to obtain predicted environmental simulation results for managing the regulable objects in the subway station based on the changed environmental information. The carbon emission simulation module is configured to acquire energy consumption information of running equipment in the subway station, and obtain a predicted carbon emission simulation result based on the energy consumption information. The subway station meta-universe system can be combined with the environmental change of the subway station to obtain the environmental simulation result of the adjustable object in the management station, and the carbon emission simulation result can be predicted based on the energy consumption of equipment in the station, so that the management of the adjustable object is optimized, the operation efficiency of the subway station is improved, and the double-carbon management level of the subway station system is improved.

Description

Meta universe system of subway station
Technical Field
The application relates to the technical field of meta-universe, in particular to a meta-universe system of a subway station.
Background
In urban areas, subways are one of the most effective public transportation modes for solving the problem of traffic jam, and meanwhile, the number of passengers is increased along with the development of subways and the continuous increase of subway passenger flows, so that the management mode of subway stations is still to be promoted. And with the importance of the national carbon-to-carbon neutralization work, the double-carbon management, energy conservation and emission reduction of the subway station have larger lifting space.
Disclosure of Invention
Aiming at the technical problems in the prior art, the application provides a subway station meta-universe system which can be combined with the environmental change of a subway station to obtain the environmental simulation result of a controllable object in a management station, and can also predict the carbon emission simulation result based on the energy consumption of equipment in the station, so that the management of the controllable object is optimized, the operation efficiency of the subway station is improved, and the double-carbon management level of the subway station system is improved.
The embodiment of the application provides a subway station meta-universe system, which comprises the following components:
the system comprises an acquisition module, a control module and a control module, wherein the acquisition module is configured to acquire real-time passenger flow data of a subway station and operation data of key equipment;
the scene construction module is configured to construct a three-dimensional model of the subway station, acquire the real-time passenger flow data and the operation data, and generate a real-time subway scene model based on the three-dimensional model, the real-time passenger flow data and the key equipment operation data;
an environmental simulation module configured to determine environmental information related to the subway station and to obtain a predicted environmental simulation result for managing the regulatable objects in the subway station based on the changed environmental information; wherein the environmental information is at least related to an external environment, and the controllable object at least comprises the key equipment;
and the carbon emission simulation module is configured to acquire energy consumption information of running equipment in the subway station and obtain a predicted carbon emission simulation result based on the energy consumption information, the changed environment information and the passenger flow data.
In some embodiments, the subway station meta-universe system further comprises a real-time rendering module configured to construct a three-dimensional model of a subway station and acquire the real-time passenger flow data and the operation data, and render the subway scene model generated by the scene constructing module in real time based on the three-dimensional model, the real-time passenger flow data and the operation data.
In some embodiments, the subway station meta-universe system further comprises a key event simulation module configured to acquire a key event related to the subway station, and determine an impact simulation result of the key event on an operation state of the subway station.
In some embodiments, the impact simulation results include at least a direct impact simulation result, an indirect impact simulation result, and an impact propagation simulation result of the key event, wherein the direct impact simulation result is related to at least station passenger flow, the indirect impact simulation result is related to at least key event occurring at other stations related to the station, and the impact propagation simulation result of the key event is related to at least propagation analysis of the key event in the subway network.
In some embodiments, the subway station meta-universe system further comprises an abnormal situation simulation module configured to obtain abnormal information related to abnormal situations, and obtain an abnormal situation simulation result related to passenger flow changes in the subway station based on the abnormal information; wherein the abnormal condition is associated with at least one or more of: an in-station operation exception event, a device exception event, and an in-station personnel exception event.
In some embodiments, the subway station meta-universe system further includes a critical device simulation module configured to obtain operational data of the critical device, and determine a predictive maintenance policy for the critical device based on the operational data, a device operational dimension specification, and the operational simulation data of the critical device under various environmental change conditions.
In some embodiments, the subway station metauniverse system further comprises a digital human module configured to generate an output result corresponding to an input operation based on the input operation in response to the input operation of a user; wherein the input operation and output result are expressed in one or more of the following forms: text, voice, video.
In some embodiments, the subway station meta-universe system further comprises a user management module configured to obtain attribute information of a user, and manage access rights of the user by level or group based on the attribute information; wherein the attribute information is associated with at least one or more of: user registration information and user login information.
In some embodiments, the scene construction module is further configured to construct an environmental simulation model corresponding to the environmental simulation result based on the environmental simulation result, and update the environmental simulation model in response to adjustment of input parameters of the environmental simulation model by a user; and/or
The scene construction module is further configured to construct an influence simulation model corresponding to the influence simulation result based on the influence simulation result, and update the influence simulation model in response to adjustment of input parameters of the influence simulation model by a user.
In some embodiments, the carbon emission simulation module is further configured to analyze the energy consumption information according to preset conditions to obtain a predicted carbon emission simulation result; wherein the preset condition is at least related to one or more of: operation time period, each region divided in subway station, carbon emission optimizing strategy.
Compared with the prior art, the embodiment of the application has the beneficial effects that: according to the application, a real-time subway scene model can be established through a scene construction module of the subway station meta-universe system so as to display the operation condition in the current station for users in a three-dimensional and dynamic way, and the environment simulation result of the adjustable object in the management station can be obtained by combining the environment information related to the subway station, so that the operation strategy of the adjustable object in the real world can be regulated according to the environment simulation result, the operation strategy of the adjustable object in the real world can be regulated more reasonably according to the environment simulation result, the management level and the operation efficiency of equipment in the subway station are improved, the cost reduction and the efficiency are realized, the subway station meta-universe system can be combined with the environment change of the subway station to obtain the environment simulation result of the adjustable object in the management station, and the carbon emission simulation result can be predicted based on the energy consumption of the equipment in the station, so that the management of the adjustable object is optimized, the operation efficiency of the subway station is improved, and the double-carbon management level of the subway station system is improved.
Drawings
In the drawings, which are not necessarily drawn to scale, like numerals may describe similar components in different views. The accompanying drawings illustrate various embodiments by way of example in general and not by way of limitation, and together with the description and claims serve to explain the disclosed embodiments. Wherever possible, the same reference numbers will be used throughout the drawings to refer to the same or like parts. Such embodiments are illustrative and not intended to be exhaustive or exclusive of the present apparatus or method.
FIG. 1 is a block diagram of a subway station meta-universe system in accordance with an embodiment of the present application;
fig. 2 is another block diagram of the subway station meta-universe system according to the embodiment of the application.
The reference numerals in the drawings denote components:
100-a subway station meta-universe system; 1-an acquisition module; 2-a scene construction module; 3-an environment simulation module; a 4-carbon emission simulation module; 5-a real-time rendering module; 6-a key event simulation module; 7, an abnormal condition simulation module; 8-a key equipment simulation module; 9-a digital person module; 10-user management module.
Detailed Description
Various aspects and features of the present application are described herein with reference to the accompanying drawings.
It should be understood that various modifications may be made to the embodiments of the application herein. Therefore, the above description should not be taken as limiting, but merely as exemplification of the embodiments. Other modifications within the scope and spirit of the application will occur to persons of ordinary skill in the art.
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments of the application and, together with a general description of the application given above, and the detailed description of the embodiments given below, serve to explain the principles of the application.
These and other characteristics of the application will become apparent from the following description of a preferred form of embodiment, given as a non-limiting example, with reference to the accompanying drawings.
It is also to be understood that, although the application has been described with reference to some specific examples, those skilled in the art can certainly realize many other equivalent forms of the application.
The above and other aspects, features and advantages of the present application will become more apparent in light of the following detailed description when taken in conjunction with the accompanying drawings.
Specific embodiments of the present application will be described hereinafter with reference to the accompanying drawings; however, it is to be understood that the inventive embodiments are merely examples of the application, which may be embodied in various forms. Well-known and/or repeated functions and constructions are not described in detail to avoid obscuring the application in unnecessary or unnecessary detail. Therefore, specific structural and functional details disclosed herein are not intended to be limiting, but merely as a basis for the claims and as a representative basis for teaching one skilled in the art to variously employ the present application in virtually any appropriately detailed structure.
The specification may use the word "in one embodiment," "in another embodiment," "in yet another embodiment," or "in other embodiments," which may each refer to one or more of the same or different embodiments in accordance with the application.
The embodiment of the application provides a subway station meta-universe system 100. As shown in fig. 1, the subway station meta-universe system 100 includes an acquisition module 1, a scene construction module 2, an environment simulation module 3, and a carbon emission simulation module 4. The acquisition module 1 is configured to acquire real-time passenger flow data of a subway station and operation data of key equipment. The scene construction module 2 is configured to construct a three-dimensional model of the subway station, acquire the real-time passenger flow data and the operation data, and generate a real-time subway scene model based on the three-dimensional model, the real-time passenger flow data and the key equipment operation data. The environment simulation module 3 is configured to determine environment information related to the subway station and obtain a predicted environment simulation result for managing the controllable objects in the subway station based on the changed environment information; wherein the environmental information is at least related to an external environment, and the controllable object comprises at least the key device. The carbon emission simulation module 4 is configured to obtain energy consumption information of running equipment in the subway station, and obtain a predicted carbon emission simulation result based on the energy consumption information, the changed environment information and the passenger flow data.
Specifically, the above-mentioned acquisition module 1 may specifically include an equipment data acquisition module 1 and a real-time passenger flow data acquisition module 1. The device data collection module 1 is at least used for collecting operation data of key devices, wherein the operation data can be one or more of historical operation data and real-time operation data, and the key devices can at least comprise devices such as an elevator, an air conditioner, a lamplight, a gate, a safety door, an advertisement machine, a refrigerator, a ventilator and the like. The real-time operation data may specifically include internet of things data, operation data, and energy consumption data. The historical operating data may include, in particular, data generated during historical operation of the critical device.
Further, the real-time passenger flow data acquisition module 1 is at least used for acquiring the real-time passenger flow data. The real-time passenger flow data can support the display of the sub-areas, the sub-entry and the like.
Specifically, the above-mentioned scene construction module 2 may be understood as a module for constructing a virtual digital environment corresponding to a subway station, which may construct a personalized model for a key device, and may independently render the personalized model. The subway scene model can be understood as a real-time dynamic model, which can display real-time operation conditions in a subway station, so that a user can three-dimensionally and dynamically display operation conditions in the current station, such as the operation state of equipment, passenger flow volume and the like, through the subway scene model constructed by the scene construction module 2.
Specifically, the environmental information related to the subway station may be at least related to the current external environment and/or the future external environment of the subway station, or the environmental information input by the user, such as weather, may be related to the passenger flow change at different time periods, and the passenger flow and the running state of equipment in each area in the station. The above-mentioned environment simulation module 3 can obtain the predicted environment simulation result for managing the regulatable object in the subway station based on the changed environment information, the environment simulation result is the simulation result for predicting the adjustable object which needs to be adjusted by the environment influence in the subway station in the future, and different simulation results can be obtained by changing the environment information, so as to decide how to manage the regulatable object in the subway station, thereby achieving the purpose of optimizing the operation of the subway station. For example, an environmental simulation result for adjusting the number of train numbers in a station is generated based on environmental information, so that the number of train numbers scheduled in the future can be adapted to the determined environmental information, thereby achieving the purpose of optimizing and adjusting the operation policy of a real-world subway station according to the environmental simulation result through the subway station meta space system 100 proposed by the present application.
Specifically, the external environment may include at least weather information, key events outside the subway station, key events close to the station, various external environmental factors affecting the passenger flow of the subway station, traffic control, and the like.
Specifically, the adjustable object can be understood as an object capable of being adjusted and controlled by management in a subway station such as passenger flow distribution in the station, temperatures of various areas in the station, running times in the station, running states of electromechanical devices such as an elevator in the station and the like.
For example, when the external environment of the subway station indicates that the subway station is currently in a severe weather environment such as heavy rain or the like, or the subway station is about to be in a severe weather environment such as heavy rain or the like within a period of time in the future, the environment simulation module 3 can obtain an environment simulation result based on the environment simulation result, and the environment simulation result can manage the controllable objects in the subway station according to the severe weather environment. For example, in the case where the external environment indicates that the subway station is in or about to be in bad weather, the passenger flow in the station may be increased, the temperature of each area in the station may be lowered in order to cope with bad weather, and the number of cars in the station may be increased to optimize and adjust the operation policy of the real world subway station according to the environmental simulation result.
According to the application, a real-time subway scene model can be established through the scene construction module 2 of the subway station meta-universe system 100 so as to display the operation condition in the current station for users in a three-dimensional and dynamic way, and the environment simulation result of the adjustable object in the management station can be obtained by combining the environment information related to the subway station, so that the operation strategy of the adjustable object in the real world can be regulated according to the environment simulation result, the operation strategy of the adjustable object in the real world can be regulated more reasonably according to the environment simulation result, the management level and the operation efficiency of equipment in the subway station are improved, the cost reduction effect is realized, the subway station meta-universe system can be combined with the environment change of the subway station to obtain the environment simulation result of the adjustable object in the management station, and the carbon emission simulation result can be predicted based on the energy consumption of the equipment in the station, so that the management of the adjustable object is optimized, the operation efficiency of the subway station is improved, and the double-carbon management level of the subway station system is improved. Among these, two-carbon management can be understood as management of carbon peaks and carbon neutralization.
In some embodiments, as shown in fig. 2, the subway station meta-space system 100 further includes a real-time rendering module 5 configured to construct a three-dimensional model of a subway station and obtain the real-time passenger flow data and the operation data, and render the subway scene model generated by the scene constructing module 2 in real time based on the three-dimensional model, the real-time passenger flow data and the operation data.
Specifically, the real-time rendering module 5 may dynamically render the subway scene model according to the real-time passenger flow data acquired by the real-time passenger flow data acquisition module 1, so as to completely display the distribution and variation of the passenger flow in the subway station.
Specifically, the real-time rendering module 5 may dynamically render, in real time, a model corresponding to the key device in the subway scene model according to the device data acquisition module 1, so that parameters such as an operation state and a key technical index of the key device can be completely reflected.
In some embodiments, as shown in fig. 2, the subway station meta-universe system 100 further includes a key event simulation module 6 configured to obtain a key event related to the subway station, and determine an impact simulation result of the key event on an operation state of the subway station.
Specifically, the above-mentioned critical events may be events that affect the operation of the subway station, such as major events around the subway station, major events related to other stations in the subway network, and the like.
In some embodiments, as shown in fig. 2, the impact simulation results include at least a direct impact simulation result, an indirect impact simulation result, and an impact propagation simulation result of the key event, where the direct impact simulation result is related to at least a station passenger flow, the indirect impact simulation result is related to at least a key event occurring at other stations related to the station, and the impact propagation simulation result of the key event is related to at least a propagation analysis of the key event in the subway network.
In particular, the above-described critical event simulation module 6 may specifically include a direct influence simulation module, an indirect influence simulation module, and a propagation simulation module. The direct influence simulation result determined by the direct influence simulation module at least comprises major events around the subway station, such as events of influence on station passenger flow caused by exhibitions, large-scale gatherings and the like. The indirect influence simulation result determined by the indirect influence simulation module at least comprises important events related to other stations in the subway network, wherein the events can influence the operation of the subway station, for example, the failure problem of the other stations in the subway network can cause that the number of operation vehicles of the subway station needs to be adaptively adjusted.
Further, the result of the effect propagation simulation of the key event determined by the propagation simulation module at least includes propagation analysis of the effect of the significant event in various scenes in the subway network, for example, when a large aggregate event occurs in a station in the subway network, the propagation simulation module may determine the propagation force of the effect of the large aggregate event on other stations located in the same subway network as the station, so as to adjust the operation policy of other stations in the same subway network.
In some embodiments, as shown in fig. 2, the subway station meta space system 100 further includes an abnormal situation simulation module 7 configured to obtain abnormal information related to an abnormal situation, and obtain an abnormal situation simulation result related to a passenger flow change in the subway station based on the abnormal information; wherein the abnormal condition is associated with at least one or more of: an in-station operation exception event, a device exception event, and an in-station personnel exception event.
Therefore, based on the abnormal information, the abnormal condition simulation result related to the change of the passenger flow in the station can be obtained, so that the influence of the abnormal condition on the passenger flow in the station can be simulated, and the operation condition in the station, such as the working condition of an air conditioner, the frequency of a train number and the like, can be regulated and controlled according to the simulated passenger flow change.
Specifically, the abnormal events of personnel in the station can at least comprise events such as gathering, frame beating, suspected explosives, treading and the like in a certain area in the subway station, the abnormal events of equipment can at least comprise fault events of equipment such as an elevator, a gate, an air conditioner, light and the like, and the abnormal events of operation in the station can at least comprise events such as station sealing, temporary closing of the gate and the like.
In some embodiments, as shown in fig. 2, the subway station meta-universe system 100 further includes a key device simulation module 8 configured to obtain operation data of the key device, and determine a predictive maintenance simulation result policy of the key device based on the operation data, a device operation and maintenance specification, and the operation simulation data of the key device under various environmental change conditions. The predictive maintenance of the key equipment can be realized through the equipment maintenance simulation result, and the aim of timely maintaining the key equipment based on the predictive maintenance simulation result strategy is fulfilled.
In some embodiments, as shown in fig. 2, the subway station meta-universe system 100 further includes a digital human module 9 configured to generate an output result corresponding to an input operation based on the input operation in response to the input operation of a user; wherein the input operation and output result are expressed in one or more of the following forms: text, voice, video.
In this way, the user using the above-described subway station meta-universe system 100 can implement a digital person dialogue created by the digital person module 9 through an input operation to implement interaction of the user and the subway station meta-universe system 100.
Specifically, the above-described input operation by the user may be understood as an operation by which the user inputs content to the subway station meta-universe system 100. For example, the input content is "how does the passenger flow situation of the subway station after one hour? "," how should the air conditioner of the subway station adjust after one hour? "etc.
In some embodiments, the digital human module 9 may further perform digital base lecture, accurate passenger flow function, dual carbon optimization function, and algorithm introduction, which may specifically generate corresponding simulation results by adjusting input parameters to the environment simulation module 3, the carbon emission simulation module 4, the key event simulation module 6, the abnormal situation simulation module 7, and the key equipment simulation module 8, and optimize the subway operation policy based on the simulation results.
In some embodiments, the digital man module 9 may also be introduced by industry background knowledge, product development direction, technical trend, etc.
In some embodiments, as shown in fig. 2, the subway station meta space system 100 further includes a user management module 10 configured to obtain attribute information of a user, and manage access rights of the user by level or by group based on the attribute information; wherein the attribute information is associated with at least one or more of: user registration information and user login information. The above-described user can be understood as a user who uses the subway station meta space system 100.
In some embodiments, the scene construction module 2 is further configured to construct an environmental simulation model corresponding to the environmental simulation result based on the environmental simulation result, and update the environmental simulation model in response to adjustment of input parameters of the environmental simulation model by a user; and/or the scene construction module 2 is further configured to construct an influence simulation model corresponding to the influence simulation result based on the influence simulation result, and update the influence simulation model in response to adjustment of input parameters of the influence simulation model by a user.
In some embodiments, the carbon emission simulation module 4 is further configured to analyze the energy consumption information under preset conditions to obtain predicted results of the carbon emission simulation; wherein the preset condition is at least related to one or more of: operation time period, each region divided in subway station, carbon emission optimizing strategy.
Therefore, the method can determine to predict the energy consumption and the carbon emission of the equipment based on the carbon emission simulation result, and timely adjust the running state of the equipment in the station, so that the carbon emission can meet the requirements of double-carbon management, energy conservation and emission reduction.
Specifically, the carbon emission simulation results can be obtained under preset conditions of different boundaries. For example, the carbon emissions are predicted by respective areas divided in the subway station, or by the operation period of the subway, or by different carbon emission optimization strategies.
Note that according to various units in various embodiments of the application, the respective units may be implemented as computer-executable instructions stored on a memory, which when executed by a processor may implement the respective steps; may also be implemented as hardware having corresponding logic computing capabilities; and may also be implemented as a combination of software and hardware (firmware). In some embodiments, the processor may be implemented as any one of FPGA, ASIC, DSP chip, SOC (system on a chip), MPU (e.g., without limitation, cortex), etc. The processor may be communicatively coupled to the memory and configured to execute computer-executable instructions stored therein. The memory may include read-only memory (ROM), flash memory, random Access Memory (RAM), dynamic Random Access Memory (DRAM) such as Synchronous DRAM (SDRAM) or Rambus DRAM, static memory (e.g., flash memory, static random access memory), etc., upon which computer-executable instructions are stored in any format. Computer-executable instructions may be accessed by the processor, read from ROM or any other suitable memory location, and loaded into RAM for execution by the processor to implement a wireless communication method in accordance with various embodiments of the application.
It should be noted that, among the components of the system of the present application, the components thereof are logically divided according to functions to be implemented, but the present application is not limited thereto, and the components may be re-divided or combined as needed, for example, some components may be combined into a single component, or some components may be further decomposed into more sub-components.
Various component embodiments of the application may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that some or all of the functions of some or all of the components in a system according to embodiments of the present application may be implemented in practice using a microprocessor or Digital Signal Processor (DSP). The present application can also be implemented as an apparatus or device program (e.g., a computer program and a computer program product) for performing a portion or all of the methods described herein. Such a program embodying the present application may be stored on a computer readable medium, or may have the form of one or more signals. Such signals may be downloaded from an internet website, provided on a carrier signal, or provided in any other form. Furthermore, the application may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The use of the words first, second, third, etc. do not denote any order. These words may be interpreted as names.
Furthermore, although exemplary embodiments have been described herein, the scope thereof includes any and all embodiments having equivalent elements, modifications, omissions, combinations (e.g., of the various embodiments across), adaptations or alterations as pertains to the present application. The elements in the claims are to be construed broadly based on the language employed in the claims and are not limited to examples described in the present specification or during the practice of the application, which examples are to be construed as non-exclusive.
The above description is intended to be illustrative and not restrictive. For example, the above-described examples (or one or more aspects thereof) may be used in combination with each other. For example, other embodiments may be used by those of ordinary skill in the art upon reading the above description. In addition, in the above detailed description, various features may be grouped together to streamline the application. This is not to be interpreted as an intention that the disclosed features not being claimed are essential to any claim. Rather, inventive subject matter may lie in less than all features of a particular disclosed embodiment. Thus, the following claims are hereby incorporated into the detailed description as examples or embodiments, with each claim standing on its own as a separate embodiment, and it is contemplated that these embodiments may be combined with one another in various combinations or permutations. The scope of the application should be determined with reference to the appended claims, along with the full scope of equivalents to which such claims are entitled.
The above embodiments are only exemplary embodiments of the present application and are not intended to limit the present application, the scope of which is defined by the claims. Various modifications and equivalent arrangements of this application will occur to those skilled in the art, and are intended to be within the spirit and scope of the application.

Claims (10)

1. A subway station meta-universe system, comprising:
the system comprises an acquisition module, a control module and a control module, wherein the acquisition module is configured to acquire real-time passenger flow data of a subway station and operation data of key equipment;
the scene construction module is configured to construct a three-dimensional model of the subway station, acquire the real-time passenger flow data and the operation data, and generate a real-time subway scene model based on the three-dimensional model, the real-time passenger flow data and the key equipment operation data;
an environmental simulation module configured to determine environmental information related to the subway station and to obtain a predicted environmental simulation result for managing the regulatable objects in the subway station based on the changed environmental information; wherein the environmental information is at least related to an external environment, and the controllable object at least comprises the key equipment;
and the carbon emission simulation module is configured to acquire energy consumption information of running equipment in the subway station and obtain a predicted carbon emission simulation result based on the energy consumption information, the changed environment information and the passenger flow data.
2. The subway station meta-universe system of claim 1 further comprising a real-time rendering module configured to construct a three-dimensional model of a subway station and obtain the real-time passenger flow data and the operational data, and render the subway scene model generated by the scene construction module in real time based on the three-dimensional model, the real-time passenger flow data and the operational data.
3. The subway station meta-universe system of claim 1 further comprising a key event simulation module configured to obtain a key event related to the subway station and determine a result of a simulation of an impact of the key event on an operational state of the subway station.
4. The subway station meta-universe system of claim 3 wherein the impact simulation results include at least a direct impact simulation result, an indirect impact simulation result, and an impact propagation simulation result of the key event, wherein the direct impact simulation result is related to at least station passenger flow, the indirect impact simulation result is related to at least key events occurring at other stations related to the station, and the impact propagation simulation result of the key event is related to at least propagation analysis of the key event within a subway network.
5. The subway station meta-universe system of claim 1 further comprising an abnormal situation simulation module configured to obtain abnormal information related to an abnormal situation, and obtain an abnormal situation simulation result related to a passenger flow change in the subway station based on the abnormal information; wherein the abnormal condition is associated with at least one or more of: an in-station operation exception event, a device exception event, and an in-station personnel exception event.
6. The subway station metauniverse system of claim 1 further comprising a key device simulation module configured to obtain operational data of the key device, determine a predictive maintenance policy for the key device based on the operational data, a device operational specification, and operational simulation data of the key device under varying environmental conditions.
7. The subway station metauniverse system of claim 1 further comprising a digital human module configured to generate an output result corresponding to an input operation based on the input operation in response to the input operation by a user; wherein the input operation and output result are expressed in one or more of the following forms: text, voice, video.
8. The subway station meta-universe system of claim 1 further comprising a user management module configured to obtain attribute information of a user, the access rights to the user being managed by level or by group based on the attribute information; wherein the attribute information is associated with at least one or more of: user registration information and user login information.
9. The subway station meta space system of claim 3, wherein the scene construction module is further configured to construct an environmental simulation model corresponding thereto based on the environmental simulation result, and update the environmental simulation model in response to adjustment of input parameters of the environmental simulation model by a user; and/or
The scene construction module is further configured to construct an influence simulation model corresponding to the influence simulation result based on the influence simulation result, and update the influence simulation model in response to adjustment of input parameters of the influence simulation model by a user.
10. The subway station meta-universe system of claim 1 wherein the carbon emission simulation module is further configured to analyze the energy consumption information according to preset conditions to obtain a predicted simulation result of the carbon emission; wherein the preset condition is at least related to one or more of: operation time period, each region divided in subway station, carbon emission optimizing strategy.
CN202310862015.8A 2023-07-14 2023-07-14 Meta universe system of subway station Pending CN116611582A (en)

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CN103927591A (en) * 2014-03-24 2014-07-16 北京交通大学 Urban rail transit emergency evacuation optimization method and system
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CN115374412A (en) * 2022-08-24 2022-11-22 中国铁道科学研究院集团有限公司 Railway station information processing method based on meta universe
CN115470707A (en) * 2022-09-22 2022-12-13 上海时氪信息技术有限公司 City scene simulation system
CN116341214A (en) * 2023-03-03 2023-06-27 上海元蜃数字科技有限公司 Digital twin system of industrial dedusting equipment of washing tower and construction method thereof

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Publication number Priority date Publication date Assignee Title
CN103927591A (en) * 2014-03-24 2014-07-16 北京交通大学 Urban rail transit emergency evacuation optimization method and system
US20200027096A1 (en) * 2017-11-07 2020-01-23 Jason Ryan Cooner System, business and technical methods, and article of manufacture for utilizing internet of things technology in energy management systems designed to automate the process of generating and/or monetizing carbon credits
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