Holographic projection interactive power grid line loss treatment system based on quantum entanglement state

Abstract

The invention discloses a holographic projection interactive power grid line loss treatment system based on a quantum entanglement state, and the system is characterized in that a data collection module collects power grid data through arranging a quantum sensor, and a quantum entanglement state generation and transmission module generates and transmits the quantum entanglement state to a key node of a power grid; the holographic projection module generates a holographic projection image of a power grid line loss condition, the data processing module performs processing and analysis by using a quantum computing technology, the interaction module is used for querying and operating a display result of the holographic projection module, and the line loss analysis and decision module analyzes line loss and formulates a treatment strategy. The execution and feedback module operates power grid equipment according to a treatment strategy, and feeds back execution effect data in real time through a quantum sensor, the system fully integrates the quantum technology and the holographic projection technology, the efficiency and precision of power grid line loss treatment are comprehensively improved, and a solid guarantee is provided for efficient and stable operation of a power grid.

Description

Technical Field

[0001] The present invention relates to the technical field of power grid line loss management, and in particular to a holographic projection interactive power grid line loss management system based on quantum entanglement state. Background Art

[0002] In the actual operation of the power grid, line loss is always the core factor that restricts the economic benefits and power supply reliability of the power grid. Traditional line loss management methods mainly rely on manual monitoring and analysis. Workers need to use various instruments installed in the power grid to obtain relevant data, and then conduct statistics and analysis on these data. However, this traditional method has exposed many significant drawbacks.

[0003] First, from the perspective of data collection, its timeliness and accuracy are difficult to be effectively guaranteed. Manual meter reading is not only extremely inefficient, but also prone to data errors and omissions. Moreover, traditional communication methods are easily interfered with by various external factors during data transmission, which can lead to data loss or errors, making subsequent analysis and decision-making lack reliable data support.

[0004] Secondly, when faced with a complex power grid structure, traditional methods are unable to intuitively display the distribution of line losses and influencing factors. It is difficult for staff to clearly and comprehensively understand the specific conditions of line losses through traditional methods, which increases the difficulty of analyzing and solving line loss problems, resulting in a significant reduction in the efficiency and effectiveness of governance work.

[0005] Third, there are obvious obstacles in data sharing and collaborative work between different departments. Information flow between departments is not smooth, and it is impossible to form an effective line loss management force, making it difficult for the entire power grid line loss management work to achieve the desired results.

[0006] Quantum sensing and monitoring technology uses quantum sensing to detect small changes in current and voltage, and combines quantum computing to optimize grid dispatch, thereby reducing line losses. At the same time, quantum communication and data security and comprehensive quantum encryption technology can ensure the security of grid data transmission and prevent abnormal line losses caused by tampering or interference. Holographic projection technology can display the topology of the grid in three dimensions, assisting operation and maintenance personnel to quickly locate line faults or loss points.

[0007] With the rapid development of quantum technology and holographic projection technology, new ideas and methods have been brought to the management of power grid line losses. However, at present, there is no mature system and method that organically combines quantum entanglement with holographic projection technology and applies it to power grid line loss management. Summary of the invention

[0008] To overcome the above problems, the objective of the present invention is to provide a holographic projection interactive power grid line loss management system based on quantum entanglement states. This system precisely and real-time collects data of power grid nodes through quantum sensors, transmits the data to a data processing center via the highly efficient transmission method of quantum entanglement states, and uses quantum computing technology to quickly process and deeply analyze the data, thereby accurately extracting key information related to line loss. By fully integrating quantum technology and holographic projection technology, it comprehensively improves the efficiency and accuracy of power grid line loss management, providing a solid guarantee for the efficient and stable operation of the power grid.

[0009] The technical solution adopted by the present invention is as follows:

[0010] A holographic projection interactive power grid line loss management system based on quantum entanglement states, comprising a data acquisition module, a quantum entanglement state generation and transmission module, a holographic projection module, a data processing module, an interaction module, a line loss analysis and decision-making module, and an execution and feedback module;

[0011] The data acquisition module collects power grid data by arranging quantum sensors,

[0012] The quantum entanglement state generation and transmission module generates and transmits quantum entanglement states to key nodes of the power grid,

[0013] The holographic projection module uses the phase information carried by the quantum entanglement state, combines a spatial light modulator and interference technology to generate a holographic projection image of the power grid line loss situation,

[0014] The data processing module uses quantum computing technology for processing and analysis,

[0015] The interaction module is used to query and operate on the display result of the holographic projection module,

[0016] The line loss analysis and decision-making module analyzes the line loss and formulates a management strategy according to the collected and processed data by using artificial intelligence algorithms and big data analysis technology,

[0017] The execution and feedback module operates on power grid equipment according to the management strategy and real-time feeds back the execution effect data through quantum sensors.

[0018] As a further description of the present invention, the interaction module supports gesture and voice interaction methods, and the interaction module can realize the zooming in and out of the holographic projection image.

[0019] As a further description of the present invention, the quantum sensors in the data acquisition module use the quantum entanglement characteristics generated by the quantum entanglement state generation and transmission module to collect power grid data, including current, voltage, and power, and transmit it to the data processing center through a quantum channel. The data processing module uses quantum Fourier transform to accelerate data analysis.

[0020] As a further description of the present invention, the decision-making basis of the line loss analysis and decision-making module includes the power grid topology and operation historical data.

[0021] As a further description of the present invention, the quantum entanglement state generation and transmission module uses a photon entanglement source to generate stable quantum entanglement pairs, which are transmitted to the key nodes of the power grid through a quantum channel.

[0022] As a further description of the present invention, the quantum channel includes optical fiber or free space, and the key nodes of the power grid include substations and distribution rooms.

[0023] As a further description of the present invention, the gesture interaction method is based on a depth camera and a convolutional neural network, supporting 10 types of gesture operations, and the voice interaction method integrates natural language processing technology.

[0024] As a further description of the present invention, the specific process of the line loss analysis and decision-making module is as follows:

[0025] The first step: Combine deep reinforcement learning and the power grid power flow model to establish a line loss prediction model;

[0026] The second step: Optimize the device parameters through a genetic algorithm, including transformer tap changers and switching of compensation capacitors;

[0027] The third step: Automatically identify the line loss cause according to the set threshold;

[0028] The fourth step: Output a treatment plan.

[0029] As a further description of the present invention, the actuator of the execution and feedback module uses an intelligent circuit breaker based on edge computing, and the response time < 50 ms.

[0030] The beneficial effects of the present invention:

[0031] The holographic projection interactive power grid line loss management system based on quantum entanglement states of the present invention includes a data acquisition module, a quantum entanglement state generation and transmission module, a holographic projection module, a data processing module, an interaction module, a line loss analysis and decision-making module, and an execution and feedback module. The data acquisition module accurately and real-time collects data of power grid nodes through quantum sensors, and transmits the data to the data processing center through the efficient transmission method of quantum entanglement states. Quantum computing technology is used to quickly process and deeply analyze the data, so as to accurately extract key information related to line loss. The specific reasons for line loss are accurately identified through the line loss analysis and decision-making module. On this basis, scientific, reasonable and highly targeted management strategies and optimization plans are formulated. Finally, the power grid equipment is accurately adjusted and comprehensively maintained through the execution and feedback module, and the execution effect of the management measures is monitored and feedback in real time, and the management plan is further adjusted and optimized to ensure that the line loss management work always remains efficient and effective. The system also provides diversified and convenient interaction methods for staff through the interaction module, greatly improving the work efficiency.

[0032] For the holographic projection interactive power grid line loss management system based on quantum entanglement states of the present invention, the holographic projection module uses the power grid data information carried by quantum entanglement states to present key information such as the line loss distribution of the power grid, line parameters, and equipment status in a three-dimensional stereoscopic form of holographic projection, with high definition and strong three-dimensional sense, intuitively showing the structure of the power grid and the line loss situation, making the staff feel as if they are on the scene, and being able to understand the actual operation status of the power grid more clearly, accurately and comprehensively.

[0033] For the holographic projection interactive power grid line loss management system based on quantum entanglement states of the present invention, the interaction module provides diversified and convenient interaction methods for staff, and supports natural interaction with the holographic projection through gestures, voices, etc. In the actual operation process, the staff can easily realize operations such as zooming in and out of the holographic projection image only through simple gesture operations, so as to carefully view the detailed line loss situation in a certain area of the power grid; through clear voice commands, the line loss data of specific lines or equipment can be quickly queried, and at the same time, professional line loss management suggestions and optimization plans can be obtained, greatly improving the work efficiency.

[0034] The holographic projection interactive power grid line loss governance system based on quantum entanglement states of the present invention. The line loss analysis and decision-making module, based on the accurate information provided by the data acquisition module and the data processing module, and combined with the topological structure of the power grid and the historical operation data, uses artificial intelligence algorithms and big data analysis techniques to conduct a comprehensive and in-depth analysis of the power grid line loss. It can accurately identify the specific causes of line loss, such as line aging, equipment failure, load imbalance, etc., and on this basis, formulate scientific, reasonable and targeted governance strategies and optimization plans, providing a clear direction for power grid line loss governance, so as to achieve the stable and reliable operation of the power grid.

[0035] The holographic projection interactive power grid line loss governance system based on quantum entanglement states of the present invention. The execution and feedback module, according to the plan formulated by the line loss analysis and decision-making module, makes precise adjustments and comprehensive maintenance of power grid equipment, such as timely replacing aging lines, reasonably adjusting equipment parameters, etc. At the same time, it monitors the execution effect of the governance measures in real time and quickly transmits the monitored feedback information to the line loss analysis and decision-making module. The line loss analysis and decision-making module adjusts and optimizes the governance plan in a timely manner according to the feedback information to ensure that the line loss governance work always remains efficient and effective. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 It is a schematic diagram of the overall structure of the holographic projection interactive power grid line loss governance system based on quantum entanglement states proposed by the present invention;

[0037] Figure 2 It is a flowchart of the data acquisition module of the holographic projection interactive power grid line loss governance system based on quantum entanglement states proposed by the present invention;

[0038] Figure 3 It is a flowchart of the data processing module and the holographic projection module of the holographic projection interactive power grid line loss governance system based on quantum entanglement states proposed by the present invention;

[0039] Figure 4 It is a flowchart of the interaction module of the holographic projection interactive power grid line loss governance system based on quantum entanglement states proposed by the present invention;

[0040] Figure 5 It is a flowchart of the line loss analysis and decision-making module of the holographic projection interactive power grid line loss governance system based on quantum entanglement states proposed by the present invention;

[0041] Figure 6 It is a flowchart of the execution and feedback module of the holographic projection interactive power grid line loss governance system based on quantum entanglement states proposed by the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0042] To make the above objects, features, and advantages of the present invention more apparent and understandable, the following provides a detailed description of the specific embodiments of the present invention in conjunction with the accompanying drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the scope of protection of the present invention.

[0043] In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention. However, the present invention may be practiced in other ways different from those described herein. Those skilled in the art can make similar extensions without departing from the spirit of the present invention. Therefore, the present invention is not limited by the specific embodiments disclosed below.

[0044] Secondly, the so-called "one embodiment" or "embodiment" herein refers to specific features, structures, or characteristics that may be included in at least one implementation manner of the present invention. The phrase "in one embodiment" appearing in different places in this specification does not necessarily refer to the same embodiment, nor is it an independent or selectively exclusive embodiment from other embodiments.

[0045] The present invention is described in detail in conjunction with schematic diagrams. When detailing the embodiments of the present invention, for ease of explanation, the cross-sectional views showing the device structure are enlarged locally in a non-general proportion, and the schematic diagrams are only examples and should not limit the scope of protection of the present invention herein. In addition, in actual production, three-dimensional spatial dimensions including length, width, and depth should be included.

[0046] At the same time, in the description of the present invention, it should be noted that the orientation or positional relationships indicated by terms such as "upper, lower, inner, and outer" are based on the orientation or positional relationships shown in the drawings. This is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it should not be construed as a limitation of the present invention. In addition, the terms "first, second, or third" are only used for descriptive purposes and cannot be construed as indicating or implying relative importance.

[0047] Unless otherwise clearly defined and limited in the present invention, the terms "mounted, connected, and coupled" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can also be a mechanical connection, an electrical connection, or a direct connection, or indirectly connected through an intermediate medium, or it can be the communication inside two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0048] As Figures 1 to 6 shown, it shows the specific embodiments of the present invention:

[0049] Embodiment 1

[0050] A holographic projection interactive power grid line loss governance system based on quantum entanglement states, including a data acquisition module, a quantum entanglement state generation and transmission module, a holographic projection module, a data processing module, an interaction module, a line loss analysis and decision-making module, and an execution and feedback module;

[0051] The data acquisition module collects power grid data by arranging quantum sensors,

[0052] The quantum entanglement state generation and transmission module generates and transmits quantum entanglement states to key nodes of the power grid,

[0053] The holographic projection module uses the phase information carried by the quantum entanglement state, combines a spatial light modulator and interference technology to generate a holographic projection image of the power grid line loss situation,

[0054] The data processing module uses quantum computing technology for processing and analysis,

[0055] The interaction module is used to query and operate on the display results of the holographic projection module,

[0056] The line loss analysis and decision-making module analyzes the line loss and formulates governance strategies according to the collected and processed data, using artificial intelligence algorithms and big data analysis techniques,

[0057] The execution and feedback module operates on power grid equipment according to the governance strategy and real-time feedbacks the execution effect data through quantum sensors.

[0058] In this embodiment, as Figure 1 shown, for this interactive power grid line loss governance system, the data acquisition module accurately and real-time collects data of power grid nodes through quantum sensors, transmits the data to the data processing center through the highly efficient transmission method of quantum entanglement states, uses quantum computing technology to quickly process and deeply analyze the data, thereby accurately extracting key information related to line loss, accurately identifying the specific causes of line loss through the line loss analysis and decision-making module, formulating scientific, reasonable and highly targeted governance strategies and optimization plans on this basis, and finally accurately adjusting and comprehensively maintaining the power grid equipment through the execution and feedback module, real-time monitoring and feedback on the execution effect of the governance measures, further adjusting and optimizing the governance plan to ensure that the line loss governance work always remains efficient and effective. This system also provides diversified and convenient interaction methods for staff through the interaction module, greatly improving work efficiency.

[0059] Embodiment 2

[0060] Specifically, the quantum sensor in the data acquisition module uses the quantum entanglement characteristics generated by the quantum entanglement state generation and transmission module to collect power grid data, including current, voltage, and power, and transmits it to the data processing center through a quantum channel. The data processing module uses quantum Fourier transform to accelerate data analysis.

[0061] Specifically, the quantum entanglement state generation and transmission module uses a photon entanglement source to generate stable quantum entanglement pairs and transmits them to key power grid nodes through a quantum channel.

[0062] Specifically, the quantum channel includes optical fiber or free space, and the key power grid nodes include substations and distribution rooms.

[0063] In this embodiment, as Figure 2 shown, the data acquisition module uses the quantum entanglement state generation and transmission module to accurately send quantum entanglement states to each node of the power grid. The quantum sensor makes full use of the unique characteristics of quantum entanglement to collect key data such as current, voltage, and power of the power grid in real time, and encodes these data into quantum states skillfully. Through the efficient transmission of the quantum channel, these encoded data are quickly transmitted to the data processing center, providing raw data support for subsequent analysis and decision-making. This module makes full use of the unique advantages of quantum entanglement states and quantum sensors to achieve high-precision and real-time acquisition of power grid data. It effectively avoids the problems of data error and missing copying in traditional methods, ensures the accuracy and reliability of data, and provides a solid data foundation for line loss management work.

[0064] In this embodiment, the data acquisition quantum entanglement state generation device sends entangled photon pairs to the area where the power grid is located. The quantum sensor collects data through quantum state encoding, such as current I = 1200A ± 0.6A, voltage U = 220kV ± 0.1%. After the data is encrypted by quantum key distribution (QKD), it is transmitted to the processing center of the data processing module through quantum teleportation technology.

[0065] Using this data acquisition module, compared with the data of traditional current transformers, the data acquisition error is reduced by 90%, and the transmission delay is reduced by 95%.

[0066] The actual test data situation is as follows: The transmission time of a 200-km line is reduced from 1.2 s to 0.06 s. This data acquisition module mainly collects the comparison differences between theoretical line loss and management line loss, and outputs and displays the line loss of three-phase lines, the line loss of single-phase lines, transformer losses, the influencing factors of reactive power compensation on line loss, and the projection constraints of the comprehensive line loss of multi-branch lines.

[0067] The calculation formula for the management line loss is:

[0068]

[0069] Wherein:

[0070] .

[0071] After quantum acquisition by the data acquisition module, the acquisition time limit of each parameter of the electricity sales volume is shortened, and the line loss management is improved.

[0072] Embodiment 3

[0073] In this embodiment, as Figure 3 shown, the data processing module performs systematic processing and in-depth analysis on a large amount of data collected by the data processing center to generate a three-dimensional line loss distribution model. The holographic projection module can accurately extract important information related to line loss. Based on the extracted information, a holographic projection image of the power grid is accurately generated, clearly showing the distribution of line loss and related parameters, providing an intuitive and comprehensive display of line loss information for the staff. This intuitive display method greatly improves the efficiency of the staff's analysis and decision-making, and helps to quickly formulate effective management plans.

[0074] In this embodiment, the accuracy of the three-dimensional line loss distribution model reaches 0.1 km. The holographic projection module projects the model as a three-dimensional image through the interference principle. The resolution of the three-dimensional image is 4K, the viewing angle is 120°, and the positioning time of the line loss abnormal area is 0.4 hours / area. Compared with the traditional manual inspection of 2 hours / area, the efficiency is increased by 80%.

[0075] Embodiment 4

[0076] Specifically, the interaction module supports gesture and voice interaction methods, and the interaction module can realize the zooming in and out of the holographic projection image.

[0077] Specifically, the gesture interaction method is based on a depth camera and a convolutional neural network, and supports 10 types of gesture operations. The voice interaction method integrates natural language processing technology.

[0078] In this embodiment, as Figure 4 shown, the interaction module provides the staff with a natural and convenient way to interact with the holographic projection, so as to obtain detailed line loss information and put forward specific management requirements according to the actual situation. The interaction module quickly and accurately transmits the instructions of the staff to the line loss analysis and decision-making module, providing a clear direction for subsequent analysis and decision-making. The interaction module supports a variety of interaction methods, enabling the staff to interact with the system conveniently and quickly. The staff can quickly obtain the required information according to the actual demand situation and put forward management requirements in a timely manner, effectively improving the work efficiency and reducing the communication cost.

[0079] In this embodiment, the staff queries the specific situation of line loss in a specific area through gestures or voice, such as "display the proportion of reactive power loss in substation area B". This interaction module can also query historical data, such as "load curves in recent months", and output governance suggestions according to actual needs, such as "replace aging insulators, expected to reduce line loss by 12%".

[0080] In this embodiment, data interaction occurs between the interaction module and the line loss governance and decision-making module. The interaction module sends instructions to the line loss analysis and decision-making module, and the line loss analysis and decision-making module feeds back the analysis results to the interaction module, shortening the decision response time of this system from 30 minutes of the traditional system to 3 minutes, and increasing the accuracy rate of the plan by 65%. In actual tests, the line loss rate of a certain pilot substation area decreased from 8.2% to 5.3% after governance, improving the quality of governance.

[0081] Embodiment Five

[0082] Specifically, the decision-making basis of the line loss analysis and decision-making module includes the power grid topology structure and operation historical data.

[0083] In this embodiment, as Figure 5 shown, after receiving the instructions from the interaction module and the detailed information provided by the data processing center, the line loss analysis and decision-making module uses advanced artificial intelligence algorithms and big data analysis technologies to comprehensively and deeply analyze the power grid line loss. Through the analysis, accurately determine the specific causes of the line loss, and formulate scientific, reasonable and feasible governance strategies.

[0084] Specifically, the specific process of the line loss analysis and decision-making module is as follows:

[0085] The first step: Combine deep reinforcement learning with the power grid power flow model to establish a line loss prediction model;

[0086] The second step: Optimize the equipment parameters through the genetic algorithm, including transformer tap changers and compensation capacitor switching;

[0087] The third step: Automatically identify the causes of line loss according to the set threshold;

[0088] The fourth step: Output the governance plan.

[0089] In this embodiment, the line loss analysis and decision-making module combines advanced artificial intelligence algorithms and big data analysis technologies to deeply and comprehensively analyze the line loss. It can accurately identify the causes of line loss and formulate scientific, reasonable and targeted governance strategies, greatly improving the pertinence and effectiveness of line loss governance and reducing the governance cost.

[0090] Embodiment Six

[0091] Specifically, the actuator of the execution and feedback module uses an intelligent circuit breaker based on edge computing, and the response time < 50 ms.

[0092] In this embodiment, as Figure 6 shown, the execution and feedback module performs specific operations on grid equipment according to the plan formulated by the line loss analysis and decision-making module. During the operation process, the operation status of the equipment and the line loss situation are monitored in real time, and the monitored feedback information is transmitted to the line loss analysis and decision-making module in a timely manner. The line loss analysis and decision-making module dynamically adjusts and optimizes the governance plan according to the feedback information to ensure the continuous and effective advancement of the line loss governance work.

[0093] In this embodiment, the actuator and related equipment of the execution and feedback module adjust parameters according to the governance plan. For example, in actual tests, the transformer tap is adjusted from gear III to gear II. After the parameters of the intelligent equipment are adjusted, the quantum sensor monitors the effect in real time. For example, in actual tests, the active power loss decreases by 15% after governance, and the data after adopting the governance strategy is transmitted back to the data processing module. The execution efficiency of the governance measure plan is increased by 70% through the execution and feedback module, where the misoperation rate approaches zero. At the same time, the blockchain records the operation log, and the traceability reaches 100%, enabling timely understanding of the entire plan.

[0094] In this embodiment, a dynamic optimization loop is adopted. The line loss analysis and decision-making module updates the model parameters according to the feedback data. For example, in actual tests, the wire temperature coefficient is corrected, and the system automatically generates a new optimization plan. For example, in actual tests, compensation capacitors are switched on and off during peak load periods, further realizing continuous optimization of the line loss rate. In actual tests, the annual average line loss rate of the power grid demonstration area drops from 6.8% to 4.2%.

[0095] Embodiment Seven

[0096] The hardware deployment of the system includes the following aspects:

[0097] 1. Reasonably install quantum entanglement state generation devices at key positions such as substations and distribution rooms of the power grid. Through scientific layout and precise debugging, ensure that the quantum entanglement state can comprehensively cover the entire power grid area, providing a stable quantum foundation for data collection and transmission.

[0098] 2. Configure high-performance holographic projection devices, and carefully set the projection position and angle according to the actual scale and layout characteristics of the power grid. Through precise adjustment, ensure that staff can clearly and completely see the holographic projection image at different working positions, providing a good visual experience for the staff.

[0099] 3. Install quantum sensors comprehensively at each node of the power grid, including current sensors, voltage sensors, power sensors, etc. These sensors feature high precision and high reliability, enabling comprehensive and real-time acquisition of power grid data and providing accurate data support for line loss management.

[0100] 4. Equip high-performance quantum computers and servers. These devices have powerful computing capabilities and data storage capabilities, can quickly process and store a large amount of collected data, and stably run line loss analysis and decision-making algorithms, providing a solid hardware guarantee for the efficient operation of the system.

[0101] In summary, through the deep integration of quantum technology and holographic projection, this system realizes "precision perception - intelligent decision-making - closed-loop optimization" for line loss management. Using quantum-level precision, the data acquisition error is reduced to the micron level, supporting refined management. The governance time efficiency is greatly improved, achieving a real-time breakthrough, and the total process time from data acquisition to execution optimization is shortened to the minute level. The system has intelligent autonomous applications, uses model continuous learning and dynamic optimization strategies, and reduces manual intervention.

[0102] The preferred embodiments of the present invention have been described in detail above in conjunction with the accompanying drawings. However, the present invention is not limited to the above embodiments. Within the scope of knowledge possessed by those of ordinary skill in the art, various changes can be made without departing from the spirit of the present invention.

[0103] Many other changes and modifications can be made without departing from the concept and scope of the present invention. It should be understood that the present invention is not limited to specific embodiments, and the scope of the present invention is defined by the appended claims.

Claims

1. A holographic projection interactive power grid line loss governance system based on quantum entanglement states, characterized in that, It includes a data acquisition module, a quantum entanglement state generation and transmission module, a holographic projection module, a data processing module, an interaction module, a line loss analysis and decision-making module, and an execution and feedback module; The data acquisition module collects power grid data by deploying quantum sensors, The quantum entanglement state generation and transmission module generates and transmits quantum entanglement states to key nodes of the power grid, The holographic projection module uses the phase information carried by the quantum entanglement state, combines a spatial light modulator and interference technology to generate a holographic projection image of the power grid line loss situation, The data processing module uses quantum computing technology for processing and analysis, The interaction module is used to query and operate on the display results of the holographic projection module, The line loss analysis and decision-making module analyzes the line loss and formulates governance strategies based on the collected and processed data, using artificial intelligence algorithms and big data analysis techniques, The execution and feedback module operates on power grid equipment according to the governance strategy and real-time feedbacks the execution effect data through quantum sensors.

2. The holographic projection interactive power grid line loss governance system based on quantum entanglement state according to claim 1, characterized in that The interaction module supports gesture and voice interaction methods, and the interaction module can realize the zooming in and out of the holographic projection image.

3. The holographic projection interactive power grid line loss governance system based on quantum entanglement state according to claim 1, characterized in that, The quantum sensors in the data acquisition and processing module use the quantum entanglement characteristics generated by the quantum entanglement state generation and transmission module to collect data of the power grid, including current, voltage, and power, and transmit them to the data processing center through a quantum channel. The data processing module uses quantum Fourier transform to accelerate data parsing.

4. The holographic projection interactive power grid line loss governance system based on quantum entanglement state according to claim 1, characterized in that, The decision-making basis of the line loss analysis and decision-making module includes the power grid topology structure and operation historical data.

5. The holographic projection interactive power grid line loss governance system based on the quantum entanglement state according to claim 1, characterized in that The quantum entanglement state generation and transmission module uses a photon entanglement source to generate stable quantum entanglement pairs and transmits them to key nodes of the power grid through a quantum channel.

6. The holographic projection interactive power grid line loss governance system based on quantum entanglement state according to claim 5, characterized in that, The quantum channel includes optical fiber or free space, and the key nodes of the power grid include substations and distribution rooms.

7. The holographic projection interactive power grid line loss governance system based on quantum entanglement state according to claim 2, wherein, The gesture interaction method is based on a depth camera and a convolutional neural network and supports 10 types of gesture operations. The voice interaction method integrates natural language processing technology.

8. The holographic projection interactive power grid line loss governance system based on quantum entanglement state according to claim 1, characterized in that, The specific process of the line loss analysis and decision-making module is as follows: The first step: Combine deep reinforcement learning with the power grid power flow model to establish a line loss prediction model; The second step: Optimize equipment parameters through a genetic algorithm, including transformer tap changers and compensation capacitor switching; The third step: Automatically identify the cause of line loss according to the set threshold; The fourth step: Output a governance plan.

9. The holographic projection interactive power grid line loss governance system based on quantum entanglement state according to claim 1, characterized in that The actuator of the execution and feedback module uses an edge-computing-based intelligent circuit breaker with a response time < 50ms.

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