A heating station control system and method based on virtual-real fusion

Abstract

This invention discloses a heat station control system based on virtual-real fusion, comprising: a data acquisition module, a data processing module, a metaverse module, a virtual-real fusion module, a control module, and a response module. These modules are respectively used to acquire data, process data, and construct a heat station metaverse, linking the metaverse with the real heat station and combining the metaverse with the real heat station. This integrates virtual humans, natural humans, and robots, and merges physical dispatchers with digital avatars, forming a human-machine integrated decision-making scheme. It boasts advantages such as good real-time performance, strong immersion, high decision-making ability, and strong execution, improving the efficiency of heat station control. Furthermore, the metaverse environment enables rapid response to control commands and observation of heat station operation animations, enhancing the transparency of the heat station's operation process.

Description

Technical Field

[0001] This invention belongs to the field of smart heating technology, specifically relating to a heating station control system based on virtual-real fusion. Background Technology

[0002] The metaverse is a virtual world created and linked through technological means, mapping and interacting with the real world, and possessing a new social system within its digital living space. Essentially, the metaverse is the virtualization and digitization of the real world, requiring significant modifications to content production, economic systems, user experience, and physical world content. However, the development of the metaverse is gradual, taking shape through the continuous integration and evolution of numerous tools and platforms, supported by shared infrastructure, standards, and protocols. It provides immersive experiences based on extended reality technology, generates mirror images of the real world based on digital twin technology, and builds an economic system based on blockchain technology, closely integrating the virtual and real worlds in terms of economic, social, and identity systems, and allowing each user to produce content and edit their own world.

[0003] In centralized heating systems, automated control of heating stations is a crucial element. Typically, heating stations must adjust the operation of the entire heating system in real time based on changes in outdoor temperature to ensure heating for residents without wasting heat, achieving a balance between supply and demand. Therefore, automated control of heating stations is particularly important. However, the operation of heating stations is complex and variable, prone to hydraulic imbalances, and maintenance personnel cannot directly observe the dynamic changes in the station's operation, hindering precise control.

[0004] Based on the above technical problems, a new control system and method for thermal power stations based on virtual-real fusion needs to be designed. Summary of the Invention

[0005] The technical problem this invention aims to solve is to overcome the shortcomings of existing technologies and provide a heat station control system based on virtual-real fusion. This system utilizes metaverse technology to construct a metaverse of the heat station, enabling dynamic interaction between users and the heat station's operation. This helps users monitor the heat station's operational status in real time, improving the efficiency and accuracy of heat station regulation. The metaverse environment can rapidly respond to control commands and observe heat station operation animations, increasing the transparency of the heat station's operation process. Furthermore, it integrates features such as human-machine fusion, virtual reality, and machine learning, combining the heat station metaverse with the real heat station. This allows for human-machine fusion of virtual humans, natural humans, and robots, and the fusion of physical dispatchers and digital avatars, forming a human-machine fusion decision-making scheme. This system boasts advantages such as good real-time performance, strong immersion, high decision-making ability, and strong execution, thereby improving the efficiency of heat station control.

[0006] To solve the above-mentioned technical problems, the technical solution of the present invention is as follows:

[0007] This invention provides a heat station control system based on virtual-real fusion, the heat station control system comprising: a data acquisition module, a data processing module, a metaverse module, a virtual-real fusion module, a control module, and a response module;

[0008] The data acquisition module is used to collect real-time operating data, historical operating data and external environmental data of the heating station, and transmit them to the data processing module;

[0009] The data processing module is connected to the data acquisition module and is used to receive data transmitted by the data acquisition module, classify and store data of different categories, and perform data cleaning, filtering, outlier handling and missing value filling.

[0010] The metaverse module, connected to the data processing module, is used to construct a metaverse of the heating station in a metaverse space based on the processed real-time operation data, historical operation data, and external environment data of the heating station, and to associate the metaverse of the heating station with the real heating station; it is also used to receive control instructions transmitted by the control module, run the heating station metaverse to generate a heating station operation animation, display the animation process to the user, and report the preferred control instructions to the response module;

[0011] The virtual-real fusion module is connected to the metaverse module and is used to construct digital avatars of the general dispatcher of the heating station and the dispatchers of each branch station based on the metaverse of the heating station, and to conduct information interaction between the general dispatcher of the heating station, the dispatchers of each branch station and the corresponding digital avatars; it is also used to perform human-machine fusion of natural persons, virtual persons and robots present in the heating station regulation process based on the metaverse of the heating station.

[0012] The control module, connected to the metaverse module, is used to perform in-depth analysis of the data reported by the thermal station metaverse using machine learning algorithms to obtain thermal station control instructions and transmit them to the metaverse module. It is also connected to the virtual-real fusion module, used to continuously optimize control instructions through virtual-real interaction and self-learning by combining a digitized avatar with the thermal station's operating scenario. The optimized control instructions are simulated and deduced in the thermal station's metaverse space. Based on the simulation results, the digitized avatar issues thermal station control instructions to the dispatchers of each thermal station branch station in a virtual-to-real manner and feeds them back to the metaverse module. Furthermore, it is used to perform human-machine collaborative decision-making and parallel deduction based on human-machine fusion information from natural persons, virtual persons, and robots to obtain the decided control instructions and feed them back to the metaverse module.

[0013] The response module, connected to the metaverse module, is used by the heating station to receive preferred control commands and regulate the heating station's electric control valves and circulating pumps.

[0014] Furthermore, the collection of real-time operating data, historical operating data, and external environmental data of the heating station includes:

[0015] By installing temperature sensors, pressure sensors, flow sensors, and outdoor meteorological data acquisition devices in the heating station system, the following data are obtained: primary network supply and return water temperature, secondary network supply and return water temperature, primary network supply and return water pressure, secondary network supply and return water pressure, primary network supply water flow rate, secondary network supply water flow rate, electric regulating valve opening, circulating pump frequency, and outdoor temperature, humidity, and wind speed.

[0016] Furthermore, the step of constructing a metaverse of the heating station in a single universe space based on the processed real-time operating data, historical operating data, and external environmental data of the heating station, and linking the metaverse of the heating station with the real heating station, includes:

[0017] Construct a virtual metaverse of the heating station and configure the constructed virtual metaverse of the heating station with the physical equipment of the heating station to form a corresponding relationship, so as to perform physical mapping of the heating station heating system;

[0018] After the processed real-time operation data, historical operation data, and external environment data of the heating station are merged with the heating station metaverse virtual body, and the data is standardized and then simultaneously connected to the same metaverse body to construct the heating station metaverse body. The heating station metaverse body is then interconnected with the real heating station and mapped in real time.

[0019] Furthermore, the virtual entity of the heating station includes a primary heating network, a secondary heating network, a heat exchanger, an electric regulating valve, a circulating pump, and auxiliary components;

[0020] The process of constructing the virtual universe of the heating station also includes: performing three-dimensional geometric simulation of the primary heating network, secondary heating network, heat exchangers, electric regulating valves, circulating pumps, and auxiliary components to form an initial virtual model of the heating station; obtaining the original body data of the heating station's heating system and the process status data during operation from a preset data storage pool, and simulating the hot water flow state during the operation of the heating station based on the relationships between multiple dimensions such as geometry, physics, and behavioral rules; simulating the initial virtual model of the heating station from a structural and functional perspective to form a simulated virtual model of the heating station, which is then stored in the data storage pool.

[0021] Furthermore, the data information in the data storage pool is encrypted and stored by obtaining the private key from the blockchain's smart contract. When data information is obtained from the data storage pool, the encrypted data information is decrypted by obtaining the corresponding public key from the blockchain's smart contract to obtain the original plaintext data information.

[0022] The data storage pool also needs to verify the user identity information of the requesting data information using digital signatures: decoding the original user information data carrying the user identity information and the encrypted digest; obtaining the public key from the blockchain's smart contract to decrypt the encrypted digest to obtain the plaintext digest, and performing hash calculation on the original user information data to obtain the original digest;

[0023] The original digest and the plaintext digest are compared. If they match, it indicates that the user's identity information is legitimate and access to the metaverse system's data resources is permitted.

[0024] Furthermore, the process of obtaining the preferred control instruction includes: the metaverse module receiving the control instruction transmitted by the control module, running the thermal station metaverse to generate a thermal station operation animation, and acquiring the current thermal station operation data. After analysis by a pre-set knowledge base module, if the expected effect is not met, the control instruction is fine-tuned to obtain the preferred control instruction; otherwise, the control instruction is not fine-tuned.

[0025] Furthermore, the step of using machine learning algorithms to perform in-depth mining and analysis on the data reported by the metaverse of the heating station to obtain heating station control instructions includes: obtaining machine learning algorithms through a pre-set knowledge base module, performing in-depth mining and analysis on the data reported by the metaverse of the heating station to obtain feature vectors, and inputting them into the selected machine learning algorithm for learning and training to establish a heating station control prediction model and obtain heating station control instructions.

[0026] Furthermore, when integrating natural persons, virtual persons, and robots existing in the heating station regulation process based on the heating station metaverse, the natural persons are entities existing in the real environment of the heating station regulation, including the heating station's general dispatcher, the heating station's branch dispatch team leader, and the heating station's branch dispatch on-site duty personnel; the virtual persons are natural persons entering the virtual metaverse space, appearing as real-time avatars in the form of virtual persons, and mapping their behavior in real time, endowing them with the knowledge, skills, and emotions of natural persons; the robots exist in the real environment of the heating station regulation, are modeled after real-life natural persons, and are endowed with controllable bodies and learning, judgment, and decision-making processing capabilities given by the behavioral data of virtual persons;

[0027] The robot's behavioral data can be fed back to the natural person, expanding and enriching the natural person's cognition, memory, and experience of controlling the real-world thermal station. The natural person, the virtual person, and the robot interact and selectively synchronize data. The natural person enters the virtual metaverse space in real time as an avatar, integrating human knowledge with the intelligent decision-making of the virtual person and the robot to form human-machine integrated decision-making and control commands.

[0028] This invention also provides a heating station control method based on virtual-real fusion, applicable to any of the heating station control systems described above, the heating station control method comprising:

[0029] The data acquisition module collects real-time operating data, historical operating data, and external environmental data of the heating station and transmits them to the data processing module.

[0030] The data processing module receives data transmitted by the data acquisition module, classifies and stores different categories of data, and performs data cleaning, filtering, outlier handling, and missing value filling.

[0031] The metaverse module constructs a metaverse body for the heating station in a metaverse space based on the processed real-time operation data, historical operation data, and external environment data of the heating station, and associates the metaverse body with the real heating station.

[0032] The virtual-real fusion module constructs digital avatars of the overall dispatcher and dispatchers of each branch station based on the metaverse of the heating station, and enables information interaction between the overall dispatcher, dispatchers of each branch station, and their corresponding digital avatars; and the virtual-real fusion module also integrates natural persons, virtual persons, and robots present in the heating station regulation process based on the metaverse of the heating station.

[0033] The control module employs machine learning algorithms to deeply analyze the data reported by the metaverse of the heating station, obtaining control commands and transmitting them to the metaverse module. Furthermore, by combining digitized avatars with the heating station's operational scenarios, and through virtual-real interaction and self-learning, the control commands are continuously optimized. The optimized commands are simulated and deduced within the heating station's metaverse space. Based on the simulation results, the digitized avatars issue control commands to the dispatchers at each heating station branch in a virtual-to-real manner, and this information is fed back to the metaverse module. Finally, based on human-machine fusion information from natural persons, virtual persons, and robots, human-machine collaborative decision-making and parallel deduction are performed to obtain the resulting control commands, which are then fed back to the metaverse module.

[0034] The metaverse module receives control commands transmitted by the control module, runs the thermal station metaverse to generate a thermal station operation animation, displays the animation process to the user, and reports the preferred control commands to the response module.

[0035] The response module enables the heating station to receive preferred control commands to regulate the heating station's electric control valves and circulating pumps.

[0036] The beneficial effects of this invention are:

[0037] (1) This invention constructs a metaverse of the heating station in a single universe space based on the processed real-time operation data, historical operation data, and external environment data of the heating station, and associates the metaverse of the heating station with the real heating station; and is used to receive the control instructions transmitted by the control module, run the metaverse of the heating station to generate the operation animation of the heating station, show the animation process to the user, and report the preferred control instructions to the response module; it can more intuitively show the user the operation status of the heating station after control through the metaverse of the heating station, and ensure the stable operation of the overall system of the metaverse of the heating station; in view of the complex operation of the heating station and the difficulty in observing the process, the metaverse technology is used to construct the metaverse of the heating station to realize the dynamic interaction between the user and the operation of the heating station, help the user to grasp the operation status of the heating station in real time, and improve the efficiency and accuracy of the heating station regulation; the metaverse environment can quickly respond to the control instructions and observe the operation animation of the heating station, which improves the transparency of the operation process of the heating station;

[0038] (2) This invention constructs digital avatars of the overall dispatcher and the dispatchers of each branch station based on the metaverse of the heating station, and facilitates information interaction between the overall dispatcher, the dispatchers of each branch station, and their corresponding digital avatars. By combining the digital avatars with the heating station's operational scenarios, and through virtual-real interaction and self-learning, the control commands are continuously optimized. The optimized control commands are simulated and deduced in the metaverse of the heating station. Based on the simulation results, the digital avatars issue heating station control commands to the dispatchers of each branch station through a virtual-to-real approach. The metaverse integrates natural persons, virtual persons, and robots involved in the control of thermal power stations. Based on the information from this integration, it conducts collaborative decision-making and parallel deduction to obtain control commands. It can integrate features such as human-machine integration, virtual reality, and machine learning, combining the metaverse of thermal power stations with real thermal power stations. It integrates virtual persons, natural persons, and robots, and merges physical dispatchers with digital avatars to form a human-machine integrated decision-making scheme. It has the advantages of good real-time performance, strong immersion, high decision-making ability, and strong execution, thereby improving the efficiency of thermal power station control.

[0039] Other features and advantages will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention are realized and obtained through the structures particularly pointed out in the description and the drawings.

[0040] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0041] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0042] Figure 1 This is a schematic diagram of a heat station control system based on virtual-real fusion according to the present invention;

[0043] Figure 2 This is a schematic diagram of the process of a heat station control method based on virtual-real fusion according to the present invention. Detailed Implementation

[0044] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0045] Example 1

[0046] Figure 1 This is a schematic diagram of a heat station control system based on virtual-real fusion, which is involved in this invention.

[0047] like Figure 1 As shown, this embodiment 1 provides a heat station control system based on virtual-real fusion. The heat station control system includes: a data acquisition module, a data processing module, a metaverse module, a virtual-real fusion module, a control module, and a response module.

[0048] The data acquisition module is used to collect real-time operating data, historical operating data and external environmental data of the heating station, and transmit them to the data processing module;

[0049] The data processing module is connected to the data acquisition module and is used to receive data transmitted by the data acquisition module, classify and store data of different categories, and perform data cleaning, filtering, outlier handling and missing value filling.

[0050] The metaverse module, connected to the data processing module, is used to construct a metaverse of the heating station in a metaverse space based on the processed real-time operation data, historical operation data, and external environment data of the heating station, and to associate the metaverse of the heating station with the real heating station; it is also used to receive control instructions transmitted by the control module, run the heating station metaverse to generate a heating station operation animation, display the animation process to the user, and report the preferred control instructions to the response module;

[0051] The virtual-real fusion module is connected to the metaverse module and is used to construct digital avatars of the general dispatcher of the heating station and the dispatchers of each branch station based on the metaverse of the heating station, and to conduct information interaction between the general dispatcher of the heating station, the dispatchers of each branch station and the corresponding digital avatars; it is also used to perform human-machine fusion of natural persons, virtual persons and robots present in the heating station regulation process based on the metaverse of the heating station.

[0052] The control module, connected to the metaverse module, is used to perform in-depth analysis of the data reported by the thermal station metaverse using machine learning algorithms to obtain thermal station control instructions and transmit them to the metaverse module. It is also connected to the virtual-real fusion module, used to continuously optimize control instructions through virtual-real interaction and self-learning by combining a digitized avatar with the thermal station's operating scenario. The optimized control instructions are simulated and deduced in the thermal station's metaverse space. Based on the simulation results, the digitized avatar issues thermal station control instructions to the dispatchers of each thermal station branch station in a virtual-to-real manner and feeds them back to the metaverse module. Furthermore, it is used to perform human-machine collaborative decision-making and parallel deduction based on human-machine fusion information from natural persons, virtual persons, and robots to obtain the decided control instructions and feed them back to the metaverse module.

[0053] The response module, connected to the metaverse module, is used by the heating station to receive preferred control commands and regulate the heating station's electric control valves and circulating pumps.

[0054] It should be noted that, in response to the complex operation and difficult-to-observe processes of heating stations, metaverse technology is used to construct a metaverse for the heating station. This enables dynamic interaction between users and the heating station, helping users to monitor the station's operational status in real time and improve the efficiency and accuracy of heating station regulation. The metaverse environment can quickly respond to control commands and observe the animation of the heating station's operation, increasing the transparency of the heating station's operation process. In addition, it integrates features such as human-machine integration, virtual reality, and machine learning, combining the heating station metaverse with the real heating station, which has the advantages of good real-time performance and strong immersion, thereby improving the efficiency of heating station regulation.

[0055] In this embodiment, the collection of real-time operating data, historical operating data, and external environmental data of the heating station includes:

[0056] By installing temperature sensors, pressure sensors, flow sensors, and outdoor meteorological data acquisition devices in the heating station system, the following data are obtained: primary network supply and return water temperature, secondary network supply and return water temperature, primary network supply and return water pressure, secondary network supply and return water pressure, primary network supply water flow rate, secondary network supply water flow rate, electric regulating valve opening, circulating pump frequency, and outdoor temperature, humidity, and wind speed.

[0057] In this embodiment, the step of constructing a metaverse of the heating station in a single universe space based on the processed real-time operating data, historical operating data, and external environmental data of the heating station, and associating the metaverse of the heating station with the real heating station, includes:

[0058] Construct a virtual metaverse of the heating station and configure the constructed virtual metaverse of the heating station with the physical equipment of the heating station to form a corresponding relationship, so as to perform physical mapping of the heating station heating system;

[0059] After the processed real-time operation data, historical operation data, and external environment data of the heating station are merged with the heating station metaverse virtual body, and the data is standardized and then simultaneously connected to the same metaverse body to construct the heating station metaverse body. The heating station metaverse body is then interconnected with the real heating station and mapped in real time.

[0060] In this embodiment, the virtual entity of the heating station includes a primary heating network, a secondary heating network, a heat exchanger, an electric regulating valve, a circulating pump, and auxiliary components;

[0061] The process of constructing the virtual universe of the heating station also includes: performing three-dimensional geometric simulation of the primary heating network, secondary heating network, heat exchangers, electric regulating valves, circulating pumps, and auxiliary components to form an initial virtual model of the heating station; obtaining the original body data of the heating station's heating system and the process status data during operation from a preset data storage pool, and simulating the hot water flow state during the operation of the heating station based on the relationships between multiple dimensions such as geometry, physics, and behavioral rules; simulating the initial virtual model of the heating station from a structural and functional perspective to form a simulated virtual model of the heating station, which is then stored in the data storage pool.

[0062] In this embodiment, the data information in the data storage pool is encrypted and stored by obtaining the private key from the blockchain smart contract. When data information is obtained from the data storage pool, the encrypted data information is decrypted by obtaining the corresponding public key from the blockchain smart contract to obtain the original plaintext data information.

[0063] The data storage pool also needs to verify the user identity information of the requesting data information using digital signatures: decoding the original user information data carrying the user identity information and the encrypted digest; obtaining the public key from the blockchain's smart contract to decrypt the encrypted digest to obtain the plaintext digest, and performing hash calculation on the original user information data to obtain the original digest;

[0064] The original digest and the plaintext digest are compared. If they match, it indicates that the user's identity information is legitimate and access to the metaverse system's data resources is permitted.

[0065] It should be noted that the heating station control system also includes an encryption / decryption module and an identity authentication module. The encryption / decryption module is used to obtain public and private key pairs from the blockchain smart contract to encrypt and decrypt data information in the data storage pool, ensuring data security. The identity authentication module is used to identify the user identity information of both real and virtual heating stations. Each real and virtual heating station has unique identity information, and the user's identity information is bound to the real heating station. That is, when attempting to virtually operate and control a real heating station through a virtual heating station, user identity verification is required to prevent unauthorized users from maliciously operating the heating station.

[0066] In this embodiment, the process of obtaining the preferred control instruction includes: the metaverse module receiving the control instruction transmitted by the control module, running the thermal station metaverse to generate a thermal station operation animation, and obtaining the current thermal station operation data. After analysis by a pre-set knowledge base module, if the expected effect is not met, the control instruction is fine-tuned to obtain the preferred control instruction; otherwise, the control instruction is not fine-tuned.

[0067] It should be noted that after receiving the control instructions transmitted by the control module, the metaverse module runs the thermal station metaverse body according to the control instructions to generate the thermal station operation animation. The operation animation after the thermal station executes the control instructions can be seen intuitively, and the operation status can be obtained. The knowledge base module analyzes whether the operation status meets the design temperature, flow rate, hydraulic balance, etc. If the expected effect is not met, the control instructions are fine-tuned. After continuous simulation operation analysis through the thermal station metaverse body, the optimal control instructions are obtained.

[0068] In this embodiment, the step of using machine learning algorithms to perform in-depth mining and analysis on the data reported by the metaverse of the heating station to obtain heating station control instructions includes: obtaining machine learning algorithms through a pre-set knowledge base module, performing in-depth mining and analysis on the data reported by the metaverse of the heating station to obtain feature vectors, and inputting them into the selected machine learning algorithm for learning and training to establish a heating station control prediction model and obtain heating station control instructions.

[0069] In this embodiment, when the natural person, virtual person, and robot existing in the heating station regulation process are integrated based on the heating station metaverse, the natural person is an entity existing in the real environment of the heating station regulation, including the heating station general dispatcher, the heating station branch dispatch team leader, and the heating station branch dispatch on-site duty personnel; the virtual person is a natural person entering the virtual metaverse space, appearing as a real-time avatar, and mapping the behavior of the natural person in real time, endowed with the natural person's knowledge, skills, and emotions; the robot exists in the real environment of the heating station regulation, is modeled after the real natural person, and is endowed with a controllable body and learning, judgment, and decision-making processing capabilities given by the virtual person's behavioral data;

[0070] The robot's behavioral data can be fed back to the natural person, expanding and enriching the natural person's cognition, memory, and experience of controlling the real-world thermal station. The natural person, the virtual person, and the robot interact and selectively synchronize data. The natural person enters the virtual metaverse space in real time as an avatar, integrating human knowledge with the intelligent decision-making of the virtual person and the robot to form human-machine integrated decision-making and control commands.

[0071] Example 2

[0072] Figure 2 This is a schematic diagram of a thermal power station control method based on virtual-real fusion involved in the present invention.

[0073] like Figure 2 As shown, this embodiment provides a heating station control method based on virtual-real fusion, applicable to any of the heating station control systems described above. The heating station control method includes:

[0074] The data acquisition module collects real-time operating data, historical operating data, and external environmental data of the heating station and transmits them to the data processing module.

[0075] The data processing module receives data transmitted by the data acquisition module, classifies and stores different categories of data, and performs data cleaning, filtering, outlier handling, and missing value filling.

[0076] The metaverse module constructs a metaverse body for the heating station in a metaverse space based on the processed real-time operation data, historical operation data, and external environment data of the heating station, and associates the metaverse body with the real heating station.

[0077] The virtual-real fusion module constructs digital avatars of the overall dispatcher and dispatchers of each branch station based on the metaverse of the heating station, and enables information interaction between the overall dispatcher, dispatchers of each branch station, and their corresponding digital avatars; and the virtual-real fusion module also integrates natural persons, virtual persons, and robots present in the heating station regulation process based on the metaverse of the heating station.

[0078] The control module employs machine learning algorithms to deeply analyze the data reported by the metaverse of the heating station, obtaining control commands and transmitting them to the metaverse module. Furthermore, by combining digitized avatars with the heating station's operational scenarios, and through virtual-real interaction and self-learning, the control commands are continuously optimized. The optimized commands are simulated and deduced within the heating station's metaverse space. Based on the simulation results, the digitized avatars issue control commands to the dispatchers at each heating station branch in a virtual-to-real manner, and this information is fed back to the metaverse module. Finally, based on human-machine fusion information from natural persons, virtual persons, and robots, human-machine collaborative decision-making and parallel deduction are performed to obtain the resulting control commands, which are then fed back to the metaverse module.

[0079] The metaverse module receives control commands transmitted by the control module, runs the thermal station metaverse to generate a thermal station operation animation, displays the animation process to the user, and reports the preferred control commands to the response module.

[0080] The response module enables the heating station to receive preferred control commands to regulate the heating station's electric control valves and circulating pumps.

[0081] In the several embodiments provided in this application, it should be understood that the disclosed systems and methods can also be implemented in other ways. The system embodiments described above are merely illustrative; for example, the flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of the present invention. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code, which contains one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order than those marked in the drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in a block diagram and / or flowchart, and combinations of blocks in block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or action, or using a combination of dedicated hardware and computer instructions.

[0082] In addition, the functional modules in the various embodiments of the present invention can be integrated together to form an independent part, or each module can exist independently, or two or more modules can be integrated to form an independent part.

[0083] If the functionality is implemented as a software module and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0084] Based on the above-described preferred embodiments of the present invention, and through the foregoing description, those skilled in the art can make various changes and modifications without departing from the inventive concept. The technical scope of this invention is not limited to the contents of the specification, but must be determined according to the scope of the claims.

Claims

1. A heat station control system based on virtual-real fusion, characterized in that, The heating station control system includes: a data acquisition module, a data processing module, a metaverse module, a virtual-real fusion module, a control module, and a response module; The data acquisition module is used to collect real-time operating data, historical operating data and external environmental data of the heating station, and transmit them to the data processing module; The data processing module is connected to the data acquisition module and is used to receive data transmitted by the data acquisition module, classify and store data of different categories, and perform data cleaning, filtering, outlier handling and missing value filling. The metaverse module, connected to the data processing module, is used to construct a metaverse of the heating station in a metaverse space based on the processed real-time operation data, historical operation data, and external environment data of the heating station, and to associate the metaverse of the heating station with the real heating station; it is also used to receive control instructions transmitted by the control module, run the heating station metaverse to generate a heating station operation animation, display the animation process to the user, and report the confirmed control instructions to the response module; The virtual-real fusion module is connected to the metaverse module and is used to construct digital avatars of the general dispatcher of the heating station and the dispatchers of each branch station based on the metaverse of the heating station, and to conduct information interaction between the general dispatcher of the heating station, the dispatchers of each branch station and the corresponding digital avatars; it is also used to perform human-machine fusion of natural persons, virtual persons and robots present in the heating station regulation process based on the metaverse of the heating station. The control module, connected to the metaverse module, is used to perform in-depth analysis of the data reported by the thermal station metaverse using machine learning algorithms to obtain thermal station control instructions and transmit them to the metaverse module. It is also connected to the virtual-real fusion module, used to continuously optimize control instructions through virtual-real interaction and self-learning by combining a digitized avatar with the thermal station's operating scenario. The optimized control instructions are simulated and deduced in the thermal station's metaverse space. Based on the simulation results, the digitized avatar issues thermal station control instructions to the dispatchers of each thermal station branch station in a virtual-to-real manner and feeds them back to the metaverse module. Furthermore, it is used to perform human-machine collaborative decision-making and parallel deduction based on human-machine fusion information from natural persons, virtual persons, and robots to obtain the decided control instructions and feed them back to the metaverse module. The response module is connected to the metaverse module and is used by the heating station to control the electric regulating valve and circulating pump after receiving the confirmed control command.

2. The heating station control system according to claim 1, characterized in that, The data collected include real-time operating data, historical operating data, and external environmental data of the heating station, including: By installing temperature sensors, pressure sensors, flow sensors, and outdoor meteorological data acquisition devices in the heating station system, the following data are obtained: primary network supply and return water temperature, secondary network supply and return water temperature, primary network supply and return water pressure, secondary network supply and return water pressure, primary network supply water flow rate, secondary network supply water flow rate, electric regulating valve opening, circulating pump frequency, and outdoor temperature, humidity, and wind speed.

3. The heating station control system according to claim 1, characterized in that, The process of constructing a metaverse of the heating station in a single universe space based on the processed real-time operation data, historical operation data, and external environment data, and linking the metaverse of the heating station with the real heating station, includes: Construct a virtual metaverse of the heating station and configure the constructed virtual metaverse of the heating station with the physical equipment of the heating station to form a corresponding relationship, so as to perform physical mapping of the heating station heating system; After the processed real-time operation data, historical operation data, and external environment data of the heating station are merged with the heating station metaverse virtual body, and the data is standardized and then simultaneously connected to the same metaverse body to construct the heating station metaverse body. The heating station metaverse body is then interconnected with the real heating station and mapped in real time.

4. The heating station control system according to claim 3, characterized in that, The virtual universe of the heating station includes a primary heating network, a secondary heating network, a heat exchanger, an electric regulating valve, a circulating pump, and auxiliary components; When constructing the virtual universe of the heating station, it also includes: performing three-dimensional geometric simulation of the primary heating network, secondary heating network, heat exchanger, electric regulating valve, circulating pump and auxiliary components to form an initial virtual model of the heating station; The system obtains the original physical data of the heating station and the process status data during operation from the preset data storage pool. Based on the relationships between multiple dimensions such as geometry, physics, and behavior rules, it simulates the hot water flow state during the operation of the heating station. The initial virtual model of the heating station is simulated from the structural and functional perspectives to form a simulated virtual model of the heating station, which is then stored in the data storage pool.

5. The heating station control system according to claim 4, characterized in that, The data information in the data storage pool is encrypted and stored by obtaining the private key from the blockchain smart contract. When data information is obtained from the data storage pool, the encrypted data information is decrypted by obtaining the corresponding public key from the blockchain smart contract to obtain the original plaintext data information. The data storage pool also needs to verify the user identity information of the requesting data information using digital signatures: decoding the original user information data carrying the user identity information and the encrypted digest; obtaining the public key from the blockchain's smart contract to decrypt the encrypted digest to obtain the plaintext digest, and performing hash calculation on the original user information data to obtain the original digest; The original digest and the plaintext digest are compared. If they match, it indicates that the user's identity information is legitimate and access to the metaverse system's data resources is permitted.

6. The heating station control system according to claim 1, characterized in that, The process of obtaining the confirmed control command includes: the metaverse module receiving the control command transmitted by the control module, running the thermal station metaverse to generate a thermal station operation animation, and obtaining the current thermal station operation data. After analysis by a pre-set knowledge base module, if the expected effect is not met, the control command is fine-tuned to obtain the confirmed control command; otherwise, the control command is not fine-tuned.

7. The heating station control system according to claim 1, characterized in that, The step of using machine learning algorithms to perform in-depth analysis on the data reported by the metaverse of the heating station and obtain heating station control instructions includes: obtaining machine learning algorithms through a pre-set knowledge base module, performing in-depth analysis on the data reported by the metaverse of the heating station to obtain feature vectors, inputting them into the selected machine learning algorithm for learning and training, establishing a heating station control prediction model, and obtaining heating station control instructions.

8. The heating station control system according to claim 1, characterized in that, When integrating natural persons, virtual persons, and robots existing in the process of heating station regulation based on the metaverse of the heating station, the natural persons are entities existing in the real environment of the heating station regulation, including the general dispatcher of the heating station, the head of the branch dispatch team of the heating station, and the on-duty personnel of the branch dispatch of the heating station; the virtual persons are natural persons entering the virtual metaverse space, presenting themselves as real-time avatars in the image of virtual persons, and mapping their behavior in real time, endowing them with the knowledge, skills, and emotions of natural persons; the robots exist in the real environment of the heating station regulation, are made in imitation of real natural persons, and are endowed with a controllable body and learning, judgment, and decision-making processing capabilities given by the behavioral data of virtual persons; The robot's behavioral data can be fed back to the natural person, expanding and enriching the natural person's cognition, memory, and experience of controlling the real-world thermal station. The natural person, the virtual person, and the robot interact and selectively synchronize data. The natural person enters the virtual metaverse space in real time as an avatar, integrating human knowledge with the intelligent decision-making of the virtual person and the robot to form human-machine integrated decision-making and control commands.

9. A method for regulating a heat station based on virtual-real fusion, characterized in that, The heating station control system according to any one of claims 1-7, the heating station control method comprising: The data acquisition module collects real-time operating data, historical operating data, and external environmental data of the heating station and transmits them to the data processing module. The data processing module receives data transmitted by the data acquisition module, classifies and stores different categories of data, and performs data cleaning, filtering, outlier handling, and missing value filling. The metaverse module constructs a metaverse body for the heating station in a metaverse space based on the processed real-time operation data, historical operation data, and external environment data of the heating station, and associates the metaverse body with the real heating station. The virtual-real fusion module constructs digital avatars of the overall dispatcher and dispatchers of each branch station based on the metaverse of the heating station, and enables information interaction between the overall dispatcher, dispatchers of each branch station, and their corresponding digital avatars; and the virtual-real fusion module also integrates natural persons, virtual persons, and robots present in the heating station regulation process based on the metaverse of the heating station. The control module employs machine learning algorithms to deeply analyze the data reported by the metaverse of the heating station, obtaining control commands and transmitting them to the metaverse module. Furthermore, by combining digitized avatars with the heating station's operational scenarios, and through virtual-real interaction and self-learning, the control commands are continuously optimized. The optimized commands are simulated and deduced within the heating station's metaverse space. Based on the simulation results, the digitized avatars issue control commands to the dispatchers at each heating station branch in a virtual-to-real manner, and this information is fed back to the metaverse module. Finally, based on human-machine fusion information from natural persons, virtual persons, and robots, human-machine collaborative decision-making and parallel deduction are performed to obtain the resulting control commands, which are then fed back to the metaverse module. The metaverse module receives control commands transmitted by the control module, runs the thermal station metaverse to generate a thermal station operation animation, displays the animation process to the user, and reports the confirmed control commands to the response module. The response module enables the heating station to receive and confirm control commands to regulate the heating station's electric control valves and circulating pumps.

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