HCPS system construction method for balancing users, AI computing power and energy supply, demand and storage

Abstract

The invention provides an HCPS system construction method for balancing users, AI computing power and energy supply, demand and storage. The method comprises an HCP edge exchange device, an HCP fusion interconnection management platform and an HCP center interconnection device. The HCP edge exchange device provides real-time working positions, user economy and carbon emission requirements, can use AI computing power and sharable data, and can open input and output energy to an HCP fusion interconnection management platform; the HCP center interconnection device provides a fixed working position, economy, safety, fairness and carbon emission constraints, can use AI computing power and sharable data, and can open input and output energy to the HCP fusion interconnection management platform; the HCP fusion interconnection management platform matches the HCP edge exchange device and the HCP center interconnection device, and pushes a matching result to the HCP edge exchange device and the HCP interconnection device; the HCP edge exchange device and the HCP center interconnection device achieve data sharing, AI computing power sharing and energy mutual aid.

Description

Technical Field

[0001] The present invention relates to the field of computing-energy fusion Internet, and in particular to a method for constructing an HCPS system that balances users, AI computing power, and energy supply and demand. Background Art

[0002] As the digital transformation of enterprises continues to accelerate, HCPS has developed rapidly in various industries. HCPS for computing-energy fusion interconnection has become a valuable research direction. The computing-energy fusion Internet is the product of the deep integration of energy technology with artificial intelligence and information and communication technology, providing a more open, clean and sustainable computing power sharing and energy mutual assistance model. Electric energy, as a secondary energy source that is easy to transmit, has become the core energy form in the computing-energy fusion Internet. With the development of energy storage technology, power electronics technology, and artificial intelligence technology, building a computing-energy integrated infrastructure has become a necessary choice for the commercial operation of the computing-energy fusion Internet. At present, the research areas of the academic community are mainly concentrated in the computing-energy Internet control theory, blockchain, software-defined grid and energy interconnection standards. With the integration and evolution of energy technology with artificial intelligence and information and communication technology, practices with the characteristics of computing-energy fusion Internet have emerged in the industry. For example, the Qingyang Institute of Digital, Computing and Electric Industry Integration plays a leading role as a national hub node of the national integrated computing power network, vigorously promotes the East-West Computing Project, and will further promote the commercialization and practical application of the computing-energy fusion Internet. Summary of the invention

[0003] The present invention provides a method for constructing an HCPS system that balances users, AI computing power, and energy supply and demand. The present invention realizes the integration of user space business flow, computing space AI computing power and data flow, and physical space energy flow, and maps the user space demand and computing space resource matching to the energy regulation economy, security, fairness, and carbon emission constraints and optimization of the physical space. At the same time, the AI ​​computing power of the computing space and the energy storage capacity of the physical space are used as auxiliary means for physical space energy regulation, providing an intelligent energy regulation method that balances user demand, AI computing power resource supply and demand, and energy supply and demand.

[0004] The technical solution adopted by the present invention to solve its technical problem is: A method for constructing an HCPS system that balances user, AI computing power, and energy supply and demand, the method comprising a demand-computing power-energy HCP edge switching device, a demand-computing power-energy HCP fusion interconnection management platform, and a demand-computing power-energy HCP center interconnection device.

[0005] The HCP edge switching device provides real-time work location, user economic and carbon emission requirements, can use AI computing power and shareable data, and can open input and output energy to the HCP fusion interconnection management platform; The HCP central interconnection device provides a fixed working position, economy, safety, fairness and carbon emission constraints, can use AI computing power and shareable data, and can open input and output energy to the HCP fusion interconnection management platform; The HCP fusion interconnection management platform matches the HCP edge switching device and the HCP central interconnection device, and pushes the matching result to the HCP edge switching device and the HCP central interconnection device.

[0006] The open input and output energy and input electrical energy include three types: electrical energy, thermal energy and hydrogen energy.

[0007] The HCPS system construction method realizes the integration of user space business flow, computing space AI computing power and data flow and physical space energy flow, and maps the user space demand and computing space resource matching into the energy regulation economy, security, fairness and carbon emission constraints and optimization of the physical space.

[0008] The HCPS system construction method uses the AI ​​computing power of the computing space and the energy storage capacity of the physical space as auxiliary means for energy regulation of the physical space, providing an intelligent energy regulation method that balances user needs, supply and demand of AI computing power resources, and supply and demand of energy.

[0009] The HCP edge switching device includes a public management module, a demand management module, a computing power management module, an energy management module, and energy input and output devices.

[0010] The public management module includes digital twin models of user space, computing space and physical space.

[0011] The HCP fusion interconnection management platform includes a public management module, an HCP edge switching device management module, an HCP central interconnection device management module, a demand constraint matching management module, a three-property-one-constraint management module, and an AI computing power energy regulation module.

[0012] The three-properties-one-constraint management module can perform multi-objective decision optimization on energy regulation economy, safety, fairness and carbon emission constraints.

[0013] The AI ​​computing power energy control module uses the AI ​​computing power of the computing space and the energy storage capacity of the physical space as auxiliary means of physical space energy control to realize the commercialization of computing and energy integration of the Internet.

[0014] The HCP central interconnection device includes a public management module, a constraint management module, a computing power management module, an energy management module, an energy input and output device, and an energy conversion device.

[0015] The energy conversion device realizes the mutual conversion of three types of energy: electrical energy, thermal energy and hydrogen energy.

[0016] The beneficial effects of the present invention are as follows: the present invention realizes the integration of user space business flow, computing space AI computing power and data flow and physical space energy flow, maps the user space demand and computing space resource matching into the energy regulation economy, security, fairness and carbon emission constraints and optimization of the physical space, and at the same time uses the AI ​​computing power of the computing space and the energy storage capacity of the physical space as auxiliary means of physical space energy regulation, providing an intelligent energy regulation method that balances user demand, AI computing power resource supply and demand and energy supply and demand. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present invention. Moreover, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings: Figure 1 A schematic diagram of a method for constructing an HCPS system that balances users, AI computing power, and energy supply and demand provided by Embodiment 1 of the present invention is shown.

[0018] Figure 2 A specific case diagram of a method for constructing an HCPS system that balances users, AI computing power, and energy supply and demand provided by Embodiment 1 of the present invention is shown. DETAILED DESCRIPTION

[0019] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0020] A method for constructing an HCPS system that balances user, AI computing power, and energy supply and demand, the method comprising a demand-computing power-energy HCP edge switching device (i.e., an HCP edge switching device), a demand-computing power-energy HCP fusion interconnection management platform (i.e., an HCP fusion interconnection management platform), and a demand-computing power-energy HCP central interconnection device (i.e., an HCP central interconnection device).

[0021] The HCP edge switching device provides real-time work location, user economy and carbon emission requirements, can use AI computing power and shareable data, and can open input and output energy to the HCP fusion interconnection management platform.

[0022] The HCP central interconnection device provides a fixed working location, economy, safety, fairness and carbon emission constraints, can use AI computing power and shareable data, and can open input and output energy to the HCP fusion interconnection management platform.

[0023] The HCP fusion interconnection management platform matches the HCP edge switching device and the HCP central interconnection device, and pushes the matching result to the HCP edge switching device and the HCP central interconnection device.

[0024] The open input and output energy and input electrical energy include three types: electrical energy, thermal energy and hydrogen energy.

[0025] The HCPS system construction method realizes the integration of user space business flow, computing space AI computing power and data flow and physical space energy flow, and maps the user space demand and computing space resource matching into the energy regulation economy, security, fairness and carbon emission constraints and optimization of the physical space.

[0026] The HCPS system construction method uses the AI ​​computing power of the computing space and the energy storage capacity of the physical space as auxiliary means for energy regulation of the physical space, providing an intelligent energy regulation method that balances user needs, supply and demand of AI computing power resources, and supply and demand of energy.

[0027] The HCP edge switching device includes a public management module, a demand management module, a computing power management module, an energy management module, and energy input and output devices.

[0028] The public management module includes digital twin models of user space, computing space and physical space.

[0029] The HCP fusion interconnection management platform includes a public management module, an HCP edge switching device management module, an HCP central interconnection device management module, a demand constraint matching management module, a three-property-one-constraint management module, and an AI computing power energy regulation module.

[0030] The three-properties-one-constraint management module can perform multi-objective decision optimization on energy regulation economy, safety, fairness and carbon emission constraints.

[0031] The AI ​​computing power energy control module uses the AI ​​computing power of the computing space and the energy storage capacity of the physical space as auxiliary means of physical space energy control to realize the commercialization of computing and energy integration of the Internet.

[0032] The HCP central interconnection device includes a public management module, a constraint management module, a computing power management module, an energy management module, an energy input and output device, and an energy conversion device.

[0033] The energy conversion device realizes the mutual conversion of three types of energy: electrical energy, thermal energy and hydrogen energy.

[0034] The present invention provides a method for constructing an HCPS system that balances users, AI computing power, and energy supply and demand, including a demand-computing power-energy HCP edge switching device, a demand-computing power-energy HCP fusion interconnection management platform, and a demand-computing power-energy HCP center interconnection device. The HCP edge switching device of the present invention provides real-time work location, user economy and carbon emission requirements, can use AI computing power and shareable data, and can open input and output energy to the HCP fusion interconnection management platform; the HCP center interconnection device provides a fixed work location, economy, security, fairness, and carbon emission constraints, can use AI computing power and shareable data, and can open input and output energy to the HCP fusion interconnection management platform; the HCP fusion interconnection management platform matches the HCP edge switching device and the HCP center interconnection device, and pushes the matching results to the HCP edge switching device and the HCP interconnection device; the HCP edge switching device and the HCP center interconnection device realize data sharing, AI computing power sharing, and energy mutual assistance.

[0035] On the basis of any of the above embodiments, further, the open input and output energy and the input electrical energy include three types: electrical energy, thermal energy, and hydrogen energy.

[0036] On this basis, further, the public management module includes digital twin models of user space, computing space and physical space.

[0037] On this basis, further, the AI ​​computing power energy control module uses the AI ​​computing power of the computing space and the energy storage capacity of the physical space as auxiliary means of energy control of the physical space, realizing the commercialization of computing and energy integration of the Internet.

[0038] On the basis of any of the above embodiments, the integration of user space business flow, computing space AI computing power and data flow and physical space energy flow is further realized, and the needs of user space and the resource matching of computing space are mapped to the energy regulation economy, security, fairness and carbon emission constraints and optimization of physical space.

[0039] On the basis of any of the above embodiments, the AI ​​computing power of the computing space and the energy storage capacity of the physical space are further used as auxiliary means of energy regulation of the physical space, providing an intelligent energy regulation method that balances user needs, supply and demand of AI computing resources, and energy supply and demand.

[0040] The embodiment of the present invention provides a method for constructing an HCPS system that balances user demand, AI computing power, and energy regulation, including a demand-computing power-energy HCP edge switching device, a demand-computing power-energy HCP fusion interconnection management platform, and a demand-computing power-energy HCP center interconnection device. The technical effect of the embodiment of the present invention is achieved as follows: like Figure 1 As shown: In S101, the HCP edge switching device provides real-time work location, user economy and carbon emission requirements, can use AI computing power and shareable data, and can open input and output energy to the HCP fusion interconnection management platform.

[0041] In the embodiment of the present invention, the HCP converged interconnection management platform updates the received HCP edge switching device interconnection information.

[0042] In S102, the HCP central interconnection device provides a fixed working location, economy, safety, fairness and carbon emission constraints, can use AI computing power and shareable data, and can open input and output energy to the HCP fusion interconnection management platform.

[0043] In the embodiment of the present invention, the HCP fusion interconnection management platform updates the received HCP center interconnection device information.

[0044] In S103, the HCP converged interconnection management platform matches the HCP edge switching device and the HCP central interconnection device, and pushes the matching result to the HCP edge switching device and the HCP central interconnection device; In an embodiment of the present invention, the HCP fusion interconnection management platform first matches the optimal HCP edge switching devices and HCP central interconnection devices with low prices, low carbon emissions and adjacent locations based on the physical location information; then matches the suboptimal and lower HCP edge switching devices and HCP central interconnection devices, generates scheduling instructions for the HCP edge switching devices based on comprehensive price, carbon emissions, stability, and road conditions, and finally pushes the matching results to the HCP edge switching devices and HCP central interconnection devices.

[0045] In S104, the HCP edge switching device and the HCP central interconnection device realize data sharing, AI computing power sharing and energy mutual assistance.

[0046] In an embodiment of the present invention, the HCP central interconnection device can forward the AI ​​computing tasks that need to be distributed and the storable energy to the HCP edge switching device.

[0047] On the basis of any of the above embodiments, the HCP fusion interconnection management platform further uses the AI ​​computing power of the computing space and the energy storage capacity of the physical space as auxiliary means of physical space energy regulation, providing an intelligent energy regulation method that balances user needs, AI computing power resource supply and demand, and energy supply and demand.

[0048] On the basis of any of the above embodiments, further, the HCP edge switching device is loaded on a fixed or mobile computing and energy fusion terminal device.

[0049] Based on any of the above embodiments, further, the HCP central interconnection device is loaded on a fixed or mobile power electronic device.

[0050] On the basis of any of the above embodiments, further, the HCP converged interconnection management platform is loaded on a central device, and the central device may be a server or a personal computer.

[0051] The present invention also provides an embodiment, such as Figure 2 As shown, the embodiment of the present invention uses a mobile computing and energy fusion station as an HCP edge switching device, and a computing and energy fusion virtual distribution transformer deployed in a smart building power distribution room as an HCP central interconnection device.

[0052] In the first step, the mobile computing energy fusion station provides the real-time location, economic demand, available AI computing power, output energy and input energy to the HCP fusion interconnection management platform. For example: the mobile computing energy fusion station trailer Gan A98873 is on the Yaohu Bridge (7 kilometers away from the Nanchang Laboratory), the user's expected energy trading income is 0.05 yuan / kWh, the available AI computing power is 8p, and the battery power is at 70% (the input power is 30% of the battery capacity, and the output power is 70% of the battery capacity). At this time, the vehicle sends the real-time location, economic demand, available AI computing power, output energy and input energy to the HCP fusion interconnection management platform. The mobile fusion station trailer Gan A98873 here has the ability to reverse charge the power grid and share AI computing power and data.

[0053] The HCP fusion interconnection management platform updates the received Gan A98873 interconnection information.

[0054] In the second step, the computing energy fusion virtual distribution transformer provides the working location, economy, safety, fairness and carbon emission constraints, can use AI computing power and shareable data, and can open input and output energy to the HCP fusion interconnection management platform. For example: The HCP083 computing energy fusion virtual distribution transformer deployed in the No. 3 power distribution room of the Nanchang Laboratory found that there was an extremely low load period of three hours in the No. 3 intelligent computer room. The current spontaneous photovoltaic power still has 30% left on the basis of meeting the computing power consumption, and there is a possibility of wasting photovoltaic power. At this time, the HCP083 computing energy fusion virtual distribution transformer sends the working location and output power to the HCP fusion interconnection management platform. The HCP083 computing energy fusion virtual distribution transformer here has the ability to charge the mobile fusion station, and at the same time has the ability to distribute and forward and aggregate AI computing tasks.

[0055] The HCP fusion interconnection management platform updates the received HCP083 computing and energy fusion virtual distribution transformer information.

[0056] In the third step, the HCP fusion interconnection management platform matches the mobile computing energy fusion station and the computing energy fusion virtual distribution transformer, and pushes the results to the mobile computing energy fusion station and the computing energy fusion virtual distribution transformer. For example: A computing energy fusion operator uses the HCP fusion interconnection management platform to calculate in real time based on the road conditions, weather, and traffic control information provided by the GIS platform that the mobile power exchange device with the shortest arrival time is Gan A98873, and the energy and computing power quotations meet user needs. If it is calculated that the available charging and discharging capacity and computing power of Gan A98873 are insufficient to support the energy consumption needs of Room 3, immediately notify the remaining available mobile computing energy fusion stations.

[0057] Step 4: The HCP fusion interconnection management platform issues dispatch instructions to the mobile computing and energy fusion station. For example, after receiving the dispatch instruction that reads "immediately drive to the No. 3 power distribution room of the Nanchang laboratory, connect to the HCP083 computing and energy fusion virtual distribution transformer upon arrival, and accept the distribution of charging, discharging and computing tasks", the mobile computing and energy fusion station trailer Gan A98873 drives to the Nanchang laboratory.

[0058] In the fifth step, the HCP fusion interconnection management platform sends the matching results to the computing and energy fusion virtual distribution transformer. For example, HCP083 computing and energy fusion virtual distribution transformer receives the matching result of "Gan A98873 is expected to arrive at the No. 3 power distribution room of Nanchang Laboratory in 30 minutes, and connect to the HCP083 computing and energy fusion virtual distribution transformer to accept the distribution of charging and discharging and computing tasks."

[0059] The sixth step is to interconnect the mobile computing and energy fusion station and the computing and energy fusion virtual distribution transformer. For example, after Gan A98873 arrives at the No. 3 power distribution room of the Nanchang Laboratory, it is interconnected with the HCP083 computing and energy fusion virtual distribution transformer to store excess photovoltaic power in the battery, and accept the energy-intensive AI computing tasks distributed by the HCP083 computing and energy fusion virtual distribution transformer, using low-cost energy computing tasks with low real-time requirements to achieve intelligent energy control with optimal computing costs and lowest abandoned light rate.

[0060] The HCP integrated interconnection management platform uses the final amount of electric energy exchanged, real-time electricity prices and computing power quotations, and the fairness of electric energy and computing power transactions as the basis for fee calculation and performs billing operations.

[0061] From the above examples, we can see that by using the HCP fusion interconnection management platform provided by the present invention, we only need to deploy HCP083 computing energy fusion virtual distribution transformer in the No. 3 power distribution room of Nanchang Laboratory (the device has the ability to charge the mobile fusion station and at the same time has the ability to distribute and forward and collect AI computing tasks), and the mobile fusion station trailer Gan A98873 with the ability to reverse charge the power grid and share AI computing power and data can be used as the crowdsourcing computing energy fusion infrastructure of Nanchang Laboratory. In summary, the present invention provides an intelligent energy control method that balances user needs and AI computing power resources, which helps to realize the commercialization of computing energy fusion Internet.

[0062] It should be noted that: for the aforementioned method embodiments, for the sake of simplicity, they are all described as a series of action combinations, but those skilled in the art should know that the present invention is not limited by the described order of actions, because according to the present invention, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the present invention.

[0063] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0064] It is understandable that the related features in the above methods can be referenced to each other. In addition, the "first", "second" and the like in the above embodiments are used to distinguish the various embodiments, and do not represent the advantages and disadvantages of the various embodiments.

[0065] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the methods, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0066] The algorithm and display provided herein are not inherently related to any particular computer, virtual system or other device. Various general purpose systems can also be used together with the teachings based on this. According to the above description, it is obvious that the structure required for constructing such systems. In addition, the present invention is not directed to any specific programming language either. It should be understood that various programming languages ​​can be utilized to realize the content of the present invention described herein, and the description of the above specific languages ​​is for disclosing the best mode of the present invention.

[0067] In the description provided herein, a large number of specific details are described. However, it is understood that embodiments of the present invention can be practiced without these specific details. In some instances, well-known methods, structures and techniques are not shown in detail so as not to obscure the understanding of this description.

[0068] Similarly, it should be understood that in order to streamline the present disclosure and aid in understanding one or more of the various inventive aspects, in the above description of exemplary embodiments of the present invention, various features of the present invention are sometimes grouped together into a single embodiment, figure, or description thereof. However, this disclosed method should not be interpreted as reflecting the intention that the claimed invention requires more features than those explicitly recited in each claim. More specifically, as reflected in the claims below, inventive aspects lie in less than all the features of the individual embodiments disclosed above. Therefore, the claims that follow the specific embodiment are hereby expressly incorporated into the specific embodiment, with each claim itself serving as a separate embodiment of the present invention.

[0069] Those skilled in the art will appreciate that the modules in the apparatus in the embodiment may be adaptively changed and arranged in one or more devices different from the embodiment. The modules or units or components in the embodiment may be combined into one module or unit or component, and further may be divided into multiple submodules or subunits or subcomponents. All features disclosed in this specification (including the accompanying claims, abstracts and drawings) and all processes or units of any method or device so disclosed may be combined in any combination, except that at least some of such features and / or processes or units are mutually exclusive. Unless otherwise expressly stated, each feature disclosed in this specification (including the accompanying claims, abstracts and drawings) may be replaced by an alternative feature that provides the same, equivalent or similar purpose.

[0070] In addition, those skilled in the art will appreciate that, although some embodiments described herein include certain features included in other embodiments but not other features, the combination of features of different embodiments is meant to be within the scope of the present invention and form different embodiments. For example, in the claims below, any one of the claimed embodiments may be used in any combination.

[0071] The various component embodiments of the present invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. It should be understood by those skilled in the art that a microprocessor or a digital signal processor (DSP) may be used in practice to implement some or all of the functions of some or all of the components of the apparatus provided according to an embodiment of the present invention. The present invention may also be implemented as a device or device program (e.g., a computer program and a computer program product) for executing part or all of the methods described herein. Such a program implementing the present invention may be stored on a computer-readable medium, or may be in the form of one or more signals. Such a signal may be downloaded from an Internet website, or provided on a carrier signal, or provided in any other form.

[0072] It should be noted that the above embodiments illustrate the present invention rather than limit it, and that those skilled in the art may devise alternative embodiments without departing from the scope of the appended claims. In the claims, any reference symbol between brackets shall not be construed as a limitation on the claims. The word "comprising" does not exclude the presence of elements or steps not listed in the claims. The word "one" or "an" preceding an element does not exclude the presence of a plurality of such elements. The present invention may be implemented by means of hardware comprising a number of different elements and by means of a suitably programmed computer. In a unit claim enumerating a number of devices, several of these devices may be embodied by the same hardware item. The use of the words first, second, and third, etc., does not indicate any order. These words may be interpreted as names.

Claims

1. A method for constructing an HCPS system that balances users, AI computing power, and energy supply and demand, characterized in that: The method includes an HCP edge switching device, an HCP fusion interconnection management platform and an HCP central interconnection device; The HCP edge switching device provides real-time work location, user economic and carbon emission requirements, and has the ability to use AI computing power, share data, and open input and output energy to the HCP fusion interconnection management platform; The HCP central interconnection device provides a fixed working location, economy, safety, fairness and carbon emission constraints, and has the ability to use AI computing power, share data and open input and output energy to the HCP fusion interconnection management platform; The HCP fusion interconnection management platform matches the HCP edge switching device and the HCP central interconnection device, and pushes the matching result to the HCP edge switching device and the HCP central interconnection device.

2. The method for constructing an HCPS system that balances users, AI computing power, and energy supply and demand according to claim 1, characterized in that: The open input and output energy includes three types: electrical energy, thermal energy, and hydrogen energy.

3. The method for constructing an HCPS system that balances users, AI computing power, and energy supply and demand according to claim 1, characterized in that: The HCP converged interconnection management platform uses the AI ​​computing power of computing space and the energy storage capacity of physical space as auxiliary means of energy regulation in physical space.

4. The method for constructing an HCPS system that balances users, AI computing power, and energy supply and demand according to claim 1, characterized in that: The HCP edge switching device includes a public management module, a demand management module, a computing power management module, an energy management module, and energy input and output devices.

5. The method for constructing an HCPS system that balances users, AI computing power, and energy supply and demand according to claim 4, characterized in that: The public management module includes digital twin models of user space, computing space and physical space.

6. The method for constructing an HCPS system that balances users, AI computing power, and energy supply and demand according to claim 1, characterized in that: The HCP fusion interconnection management platform includes a public management module, an HCP edge switching device management module, an HCP central interconnection device management module, a demand constraint matching management module, a three-property-one-constraint management module, and an AI computing power energy regulation module; The three-properties-one-constraint management module is used to perform multi-objective decision optimization on energy regulation economy, safety, fairness and carbon emission constraints.

7. The method for constructing an HCPS system that balances users, AI computing power, and energy supply and demand according to claim 1, characterized in that: The HCP central interconnection device includes a public management module, a constraint management module, a computing power management module, an energy management module, an energy input and output device, and an energy conversion device; The energy conversion device realizes the mutual conversion of three types of energy: electrical energy, thermal energy and hydrogen energy.

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