Host security micro-isolation method and system of power monitoring system

Abstract

The invention discloses a power monitoring system host security micro-isolation method and system, particularly relates to the technical field of power terminal security isolation, and aims to monitor electromagnetic interference and quantum state changes in real time and improve the stability and security of a quantum key distribution process in combination with quantum error correction and dynamic prediction technologies. A high-confidentiality encryption key is generated through the randomness of a quantum key generator, the interference level is monitored in real time in a high electromagnetic interference environment, a security protocol is automatically triggered, and parameters of a quantum system are adjusted through an active feedback mechanism; a dynamic Bayesian network is utilized to predict entanglement attenuation of a quantum state, an information exchange behavior of a quantum system is analyzed through quantum entanglement entropy, the attenuation degree and interaction intensity of the quantum state are comprehensively analyzed, and a dynamic micro-isolation strategy is implemented according to an analysis result; the reliability of quantum key distribution is improved, and the anti-interference capability of a power monitoring system in a complex electromagnetic environment is enhanced.

Description

Technical Field

[0001] The present invention relates to the technical field of power terminal security isolation, and more specifically, to a power monitoring system host security micro-isolation method and system. Background Art

[0002] With the construction of my country's energy internet, whether a large number of new energy devices can be safely and efficiently connected to the power grid has become a bottleneck problem. Compared with traditional fiber optic laying, wireless access is not only low-cost, but also convenient and efficient, but it faces huge security risks. A large number of devices are exposed to the public network environment and are vulnerable to hacker attacks, causing public safety risks such as blackouts. "Quantum encryption technology" that takes into account both cost and security can solve these problems.

[0003] Data security between hosts and key nodes is becoming increasingly important. Especially in power environments with high electromagnetic interference, electromagnetic interference may have unpredictable effects on quantum encryption communications. Quantum key distribution, as a highly secure encryption technology, can effectively improve the confidentiality and anti-interference capabilities of data transmission. However, high electromagnetic interference in the power environment will affect the stability of the quantum state, and thus affect the security of key generation and transmission. In a power environment with high electromagnetic interference, if the stability of the quantum state cannot be monitored in real time and the security of quantum key distribution cannot be ensured through prediction and dynamic adjustment, it may lead to quantum key distribution failure, information loss or tampering, seriously affecting the data security and stable operation of the power system.

[0004] In order to solve the above problems, a technical solution is now provided. Summary of the invention

[0005] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a method and system for host security micro-isolation of a power monitoring system to solve the problems raised in the above-mentioned background technology.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] A method for host security micro-isolation of a power monitoring system comprises the following steps:

[0008] S1: Set up a quantum key generator in the host and use quantum randomness to generate encryption keys; transmit the keys to key nodes through the quantum key distribution system;

[0009] S2: Real-time monitoring of the electromagnetic interference level of the host's power environment; when electromagnetic interference higher than a preset threshold is detected, the safety protocol is automatically triggered;

[0010] S3: After the security protocol is triggered, the parameters of the quantum system are adjusted through an active feedback mechanism to ensure the stability of the quantum state; quantum error correction technology is used to reduce the error rate of quantum information;

[0011] S4: By measuring the quantum system multiple times continuously, we calculate the change in the degree of entanglement between two consecutive measurements, and use the dynamic Bayesian network to simulate and predict the degree of entanglement decay of the quantum state; we analyze the information exchange behavior of the quantum system through quantum entanglement entropy, and evaluate the degree of interaction between quantum states in a high electromagnetic interference environment;

[0012] S5: Conduct a comprehensive analysis of the entanglement decay degree of quantum states and the degree of interaction between quantum states in a high electromagnetic interference environment. Based on the comprehensive analysis results, implement a dynamic micro-isolation strategy between the host and key nodes.

[0013] In a preferred embodiment, S1 specifically includes:

[0014] S101: Install a high-precision quantum key generator in the power monitoring system host;

[0015] S102: Generate an encryption key based on quantum properties using a quantum random number generator;

[0016] S103: Initialize the quantum key distribution system and establish a key transmission channel between the host and each key node;

[0017] S104: configuring a key distribution protocol and determining a security standard used in the encryption key transmission process;

[0018] S105: Transmit the quantum key to key nodes through the quantum key distribution system, and monitor the integrity of the transmission process in real time.

[0019] In a preferred embodiment, S2 specifically includes:

[0020] S201: Deploy highly sensitive electromagnetic interference monitoring devices around the host to capture electromagnetic signals in the environment in real time;

[0021] S202: Setting a preset threshold of electromagnetic interference according to system stability and sensitivity requirements;

[0022] S203: Continuously monitor electromagnetic interference data and use real-time analysis software to evaluate interference intensity and possible trends;

[0023] S204: Compare the electromagnetic interference data collected in real time with a preset threshold to determine whether it exceeds the threshold;

[0024] S205: When the detected electromagnetic interference exceeds a threshold, a predefined safety protocol is automatically triggered;

[0025] Security protocols include quantum key distribution pause, quantum key regeneration, isolated communication channels, and alarm notifications.

[0026] In a preferred embodiment, S3 specifically includes:

[0027] S301: Evaluate the state fluctuation of quantum bits in real time and use the fidelity formula to determine the stability of the quantum state;

[0028] S302: Dynamically adjust the photon emission frequency, polarization angle and entanglement depth according to the quantum state fidelity result;

[0029] S303: Encoding quantum information using a five-bit error correction code, and detecting and repairing quantum bit errors using an error correction matrix;

[0030] S304: By continuously monitoring the fidelity of quantum states, an active feedback mechanism is formed to maintain the high fidelity of quantum information.

[0031] In a preferred embodiment, a quantum state fidelity evaluation function is used to determine the deviation between the current quantum state and the target quantum state, wherein the fidelity formula is as follows: F(ψ,φ)=|<ψ|φ>| 2 ; Among them, F(ψ,φ) is the quantum state fidelity evaluation function, ψ represents the currently measured quantum state, and φ represents the ideal quantum state.

[0032] In a preferred embodiment, the change in the degree of entanglement between two consecutive measurements is calculated by measuring the quantum system multiple times continuously, and the degree of entanglement decay of the quantum state is predicted by using a dynamic Bayesian network simulation, specifically:

[0033] The quantum system is measured repeatedly through the quantum state measurement device: ζ(t)=|<ζ(t)|Ω>| 2 ; Where ζ(t) is the degree of entanglement between the quantum state Ψ(t) at time t and the ideal quantum state Ω, Ψ(t) is the actual quantum state at time t, and Ω is the preset ideal quantum state;

[0034] Through multiple measurements, a series of data ζ(t1), ζ(t2), ..., ζ(t n ), n represents the total number of measurements of the quantum system;

[0035] By comparing the results of two consecutive measurements, the change in the degree of entanglement between each measurement is calculated: Δζt k =ζ(t k )-ζ(t k-1 ), where Δζt k is at time t k The change in the degree of entanglement at the moment, ζ(t k ) is at time t kThe degree of entanglement at the moment, ζ(t k-1 ) is at the previous moment t k-1 The degree of entanglement, k represents the time index of the current moment;

[0036] For each time t k As a state node

[0037] The state transition probability Defined as the time from the previous moment t k-1 To the current time t k The probability of the entanglement degree changing;

[0038] The dynamic Bayesian network model predicts the future entanglement degree through a recursive updating process; define the next moment t k+1 The prediction formula is: in, is the prediction at time t k+1 The degree of entanglement, is the time t k To time t k+1 The state transition probability of

[0039] Through the prediction results of the dynamic Bayesian network, the predicted value of the entanglement degree at each future time point is obtained, and the predicted entanglement decay rate is calculated, and its expression is: where Λ is the predicted entanglement decay rate, is the entanglement degree of the i-th prediction, m is the total number of prediction time steps, and i represents the index of the time step used in the prediction process.

[0040] In a preferred embodiment, the information exchange behavior of the quantum system is analyzed by quantum entanglement entropy to evaluate the degree of interaction between quantum states in a high electromagnetic interference environment; specifically:

[0041] The formula for quantum entanglement entropy is as follows: in, is the quantum entanglement entropy of the subsystem P at time σ, ρ P (σ) represents the density matrix of subsystem P at time σ, Tr is the trace operation, ρ is the density matrix, P represents a subsystem of the quantum system; Q represents another subsystem in the quantum system;

[0042] Set at multiple time points σ1, σ2, ..., σ f Measure and obtain the change of quantum entanglement entropy, which is recorded as: Among them, σ u represents the u-th moment in the time series, Indicates that at time σ uThe quantum entanglement entropy measured at the time, u represents the index variable in the time series, and f represents the total number of measurements;

[0043] Calculate the standard deviation of the quantum entanglement entropy fluctuations, and the calculation formula is: in, is the standard deviation of the fluctuation of quantum entanglement entropy, is the average value of quantum entanglement entropy;

[0044] Calculate the interference quantum effect index, the calculation formula is as follows: Among them, Γ is the interference quantum effect index, N ε is the electromagnetic noise intensity.

[0045] In a preferred embodiment, S5 is specifically:

[0046] The predicted entanglement decay rate and the interference quantum effect index are normalized, and the normalized predicted entanglement decay rate and the interference quantum effect index are respectively weighted to calculate the quantum stability comprehensive evaluation coefficient;

[0047] Δ and Δ threshold For comparison: When Δ>Δ threshold , triggering dynamic micro-isolation. The specific execution steps of dynamic micro-isolation include: data channel isolation, quantum key generation and distribution strategy adjustment, communication frequency band switching, and real-time monitoring and feedback;

[0048] Among them, Δ is the comprehensive evaluation coefficient of quantum stability.

[0049] On the other hand, the present invention provides a power monitoring system host security micro-isolation system, including a quantum key generation module, an electromagnetic interference monitoring module, an active feedback mechanism module, an entanglement attenuation prediction module, an information exchange analysis module, and a comprehensive analysis isolation module.

[0050] Quantum key generation module: A quantum key generator is set up in the host to generate encryption keys using quantum randomness; the keys are transmitted to key nodes through a quantum key distribution system;

[0051] Electromagnetic interference monitoring module: real-time monitoring of the electromagnetic interference level of the host's power environment; when electromagnetic interference higher than the preset threshold is detected, the safety protocol is automatically triggered;

[0052] Active feedback mechanism module: After the security protocol is triggered, the parameters of the quantum system are adjusted through the active feedback mechanism to ensure the stability of the quantum state; quantum error correction technology is used to reduce the error rate of quantum information;

[0053] Entanglement decay prediction module: by measuring the quantum system multiple times continuously, the change in the degree of entanglement between two consecutive measurements is calculated, and the dynamic Bayesian network is used to simulate and predict the degree of entanglement decay of the quantum state;

[0054] Information exchange analysis module: Analyze the information exchange behavior of quantum systems through quantum entanglement entropy and evaluate the degree of interaction between quantum states in a high electromagnetic interference environment;

[0055] Comprehensive analysis and isolation module: Comprehensively analyze the entanglement decay degree of quantum states and the degree of interaction between quantum states in a high electromagnetic interference environment. Based on the comprehensive analysis results, a dynamic micro-isolation strategy is implemented between the host and key nodes.

[0056] The technical effects and advantages of the power monitoring system host security micro-isolation method and system of the present invention are as follows:

[0057] 1. By real-time monitoring of electromagnetic interference and quantum state changes, combined with quantum error correction and dynamic prediction technology, the stability and security of the quantum key distribution process can be effectively improved; highly confidential encryption keys are generated through the randomness of the quantum key generator to ensure the communication security between the host and key nodes; in a high electromagnetic interference environment, the interference level can be monitored in real time, and when it is detected that the interference exceeds the threshold, the security protocol is automatically triggered, and the parameters of the quantum system are adjusted through an active feedback mechanism to maintain the stability of the quantum state and avoid key errors or leakage caused by interference during information transmission.

[0058] 2. Use dynamic Bayesian networks to predict the entanglement decay of quantum states to ensure early warning and adjustment of the system before potential risks occur. By analyzing the information exchange behavior of quantum systems through quantum entanglement entropy, we can further evaluate the interaction of quantum states in interference environments and ensure the stability and security of data transmission. Finally, the degree of attenuation of quantum states and the intensity of interaction are comprehensively analyzed, and a dynamic micro-isolation strategy is implemented based on the analysis results to ensure that data transmission between the host and key nodes is not affected when interference is large. This series of measures not only improves the reliability of quantum key distribution, but also enhances the anti-interference ability of the power monitoring system in complex electromagnetic environments, ensuring the safety and stability of the entire system. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] Figure 1 A schematic diagram of a method for secure micro-isolation of a host in a power monitoring system according to the present invention;

[0060] Figure 2 This is a schematic diagram of the structure of a power monitoring system host security micro-isolation system of the present invention. DETAILED DESCRIPTION

[0061] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only 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.

[0062] Example 1

[0063] Figure 1 The present invention provides a method for host security micro-isolation of a power monitoring system, which includes the following steps:

[0064] S1: Set up a quantum key generator in the host and use quantum randomness to generate encryption keys; transmit the keys to key nodes through the quantum key distribution system.

[0065] S2: Real-time monitoring of the electromagnetic interference level of the host's power environment; when electromagnetic interference higher than the preset threshold is detected, the safety protocol is automatically triggered.

[0066] S3: After triggering the security protocol, the parameters of the quantum system are adjusted through an active feedback mechanism to ensure the stability of the quantum state; quantum error correction technology is used to reduce the error rate of quantum information.

[0067] S4: By measuring the quantum system multiple times continuously, the change in the degree of entanglement between two consecutive measurements is calculated, and the dynamic Bayesian network simulation is used to predict the degree of entanglement decay of the quantum state; the information exchange behavior of the quantum system is analyzed through quantum entanglement entropy, and the degree of interaction between quantum states in a high electromagnetic interference environment is evaluated.

[0068] S5: Conduct a comprehensive analysis of the entanglement decay degree of quantum states and the degree of interaction between quantum states in a high electromagnetic interference environment. Based on the comprehensive analysis results, implement a dynamic micro-isolation strategy between the host and key nodes.

[0069] S1 specifically includes:

[0070] S101: Install a high-precision quantum key generator in the power monitoring system host to ensure randomness and security:

[0071] In the mainframe of the power monitoring system, select and install equipment with high-precision quantum random number generation capabilities to ensure the utilization of quantum properties (such as quantum superposition and entanglement). The equipment has a self-calibration function and can continuously monitor the stability of the quantum state. Specifically, set the working state of the quantum key generator to normal mode, and reduce external interference through electromagnetic shielding measures to ensure the normal operation of the equipment.

[0072] S102: Use a quantum random number generator to generate encryption keys based on quantum properties. The keys are highly unpredictable:

[0073] Quantum key generation relies on the random collapse process of quantum bits (qubits), where the state of each qubit is controlled by an entropy source to produce a random number sequence. The sequence passes through a quantum state evaluation unit (QStateEvaluator) to determine its randomness quality, and only sequences that meet high random standards are used as encryption keys.

[0074] The key generation frequency is adjusted according to the system's maximum data throughput and encryption requirements. The key generation frequency is usually set to 10 6 bits / s.

[0075] S103: Initialize the quantum key distribution system, establish a key transmission channel between the host and each key node, and ensure a secure connection:

[0076] System initialization includes calibration of the quantum channel and initiation of the quantum key distribution system (QKDS). In this phase, the quantum channel is calibrated to match the photon transmitting and receiving devices to ensure the lowest bit error rate. The time of the initialization process usually depends on the scale and complexity of the system, as well as the quality inspection of the communication link.

[0077] S104: Configure the key distribution protocol and determine the security standards used in the encryption key transmission process to ensure that the key cannot be intercepted or tampered with:

[0078] Key transport protocol configuration involves selecting an appropriate quantum key distribution protocol, such as the BB84 protocol or the E91 protocol, which provide a secure key exchange mechanism through different quantum measurements and polarization states. The protocol strength parameter is directly related to the complexity and periodic update frequency of the key, thereby enhancing the key protection capability. In an environment with high security requirements, the protocol strength parameter may use an encryption standard of more than 256 bits.

[0079] S105: Transmit the quantum key to key nodes through the quantum key distribution system and monitor the integrity of the transmission process in real time:

[0080] After the key is successfully generated, it is transmitted to key nodes in the system in a highly confidential and secure manner through the quantum key distribution system. Transmission efficiency is an important indicator for evaluating the integrity of the key during transmission. Ideally, it is close to 100%, but in practical applications, the influence of system noise and external interference must be taken into account.

[0081] Among them, key nodes refer to the various components of the power monitoring system that have a significant impact on data confidentiality and system security. These key nodes usually include data centers, control centers, major communication exchange stations, and any equipment involved in critical operational control or sensitive data processing. For example, a data center may be responsible for storing and processing monitoring data for the entire power grid, while a control center may be responsible for dispatching power distribution and emergency response measures. The communication exchange station serves as the hub of network communication, processing and forwarding signals and commands from various parts.

[0082] S2 specifically includes:

[0083] S201: Deploy highly sensitive electromagnetic interference monitoring devices around the host to capture electromagnetic signals in the environment in real time:

[0084] First, a highly sensitive electromagnetic interference monitoring device is installed around the main unit of the power monitoring system. The electromagnetic interference monitoring device uses an ultra-low noise preamplifier (ULNA) to ensure that it can detect weak electromagnetic interference signals. Its core is the multi-band antenna system (Multi-band Antenna System), which can simultaneously monitor multiple frequency bands, from radio frequency interference to microwave frequency band interference sources, to ensure that all interference that may affect quantum key generation and transmission is monitored. The electromagnetic interference monitoring device is equipped with an active noise suppression system (Active Noise Suppression System) to effectively filter background noise and ensure the accuracy of the signal.

[0085] S202: According to the system stability and sensitivity requirements, a preset threshold of electromagnetic interference is set to trigger the safety protocol:

[0086] The preset threshold of electromagnetic interference is configured according to the stability and sensitivity requirements of the system. In the power monitoring system, electromagnetic interference may come from a variety of sources, including high-voltage electrical equipment, wireless communication equipment, and natural lightning, so it is necessary to define the threshold in combination with the interference characteristics in the actual power environment.

[0087] The definition of the preset threshold is based on a series of analytical data, including historical electromagnetic interference levels, typical electromagnetic environments during normal operation of power equipment, and electromagnetic interference sensitivity tests during quantum key generation and distribution. Bayesian Inference is usually used to analyze these data to generate a probability distribution model of interference intensity to find the most reasonable threshold range. The threshold can also be dynamically adjusted according to changes in the actual environment. For example, during thunderstorms, the system can automatically increase the threshold to avoid frequent false alarms.

[0088] S203: Continuously monitor electromagnetic interference data and use real-time analysis software to evaluate interference intensity and possible trends:

[0089] Continuously monitor the electromagnetic interference data in real time. The monitoring device converts the captured electromagnetic signals into digital signals through the Data Acquisition Module and transmits them to the real-time analysis software in the host system. The real-time analysis software uses Fast Fourier Transform (FFT) to convert time domain signals into frequency domain signals and analyze the electromagnetic interference intensity in different frequency bands.

[0090] A prediction algorithm based on the Markov Chain Model is used to predict the trend of electromagnetic interference in real time. By analyzing the changes in electromagnetic interference over a period of time, the algorithm can effectively identify the periodic or sudden changes in electromagnetic interference and predict the possible future interference intensity. This analysis is important for determining whether there is continuous or enhanced interference, and can provide data support for the system to respond in advance.

[0091] S204: Compare the real-time collected electromagnetic interference data with a preset threshold to determine whether it exceeds the threshold:

[0092] During the continuous collection and analysis of electromagnetic interference data, the system will automatically compare the interference intensity monitored in real time with the previously set threshold. A dynamic comparison model based on weighted average is introduced, which can perform weighted comparison based on the interference conditions of different frequency bands monitored. Specifically, the impact weights of low-frequency interference and high-frequency interference can be dynamically adjusted according to the potential threat level of interference to the system, thereby achieving accurate comparison of thresholds.

[0093] The system processes interference data through a Fast Response Decision Engine to determine whether it reaches or exceeds the preset threshold. Once it detects that the electromagnetic interference in a certain frequency band exceeds the set safety range, the system will mark the event and prepare to trigger subsequent safety protocols.

[0094] S205: When the detected electromagnetic interference exceeds the threshold, the predefined safety protocol is automatically triggered to protect the system safety:

[0095] When the system confirms through dynamic comparison that the electromagnetic interference exceeds the preset threshold, the safety protocol will be automatically triggered.

[0096] The security protocol includes the following operations:

[0097] Quantum key distribution pause: In order to avoid interference with quantum keys transmitted in a high-interference environment, the system may temporarily pause the key distribution process and wait for the interference to decrease before restarting.

[0098] Quantum key regeneration: If a quantum key has been generated in an interference environment but the confidentiality of the key cannot be guaranteed, the system can automatically destroy the current key and regenerate a new quantum key.

[0099] Isolate communication channels: The system may automatically isolate key communication channels to ensure that important data is not affected by electromagnetic interference. This operation is achieved by shutting down certain physical or logical channels to reduce the risk of information leakage or damage.

[0100] Alarm notification: The system will trigger an alarm, notify the system administrator, and send a warning message to relevant personnel through a preset communication link (such as email or SMS), providing a specific interference data report and the system's recommended response measures.

[0101] After the power monitoring system host detects that the electromagnetic interference exceeds the threshold and triggers the security protocol, the system immediately starts the active feedback mechanism to ensure the stability of the quantum state during the quantum key distribution process. The active feedback mechanism is a closed-loop control system based on real-time monitoring and adjustment. Its purpose is to dynamically adjust the working parameters of the quantum system according to changes in the current electromagnetic environment to offset the impact of electromagnetic interference on the quantum state.

[0102] S3 specifically includes:

[0103] S301: By evaluating the state fluctuation of quantum bits in real time and using the fidelity formula to determine the stability of the quantum state:

[0104] By capturing and analyzing the state fluctuations of quantum bits (qubits), the stability of the current quantum state is evaluated. The state information of each quantum bit is decoded by a high-precision interferometer and compared with the ideal quantum state set by the system. Through this process, the system can detect quantum state drift or instability caused by electromagnetic interference.

[0105] The quantum state fidelity evaluation function is used to determine the deviation between the current quantum state and the target quantum state, where the fidelity formula is as follows: F(ψ, φ) = |<ψ|φ>| 2 ; Where F(ψ, φ) is the quantum state fidelity evaluation function, ψ represents the currently measured quantum state, and φ represents the ideal quantum state. The output value of the quantum state fidelity evaluation function is the fidelity value F. The closer F is to 1, the more stable the quantum state. The system will update the current fidelity after each measurement and store it in the log for subsequent analysis.

[0106] S302: According to the quantum state fidelity results, dynamically adjust the photon emission frequency, polarization angle and entanglement depth to ensure the stability of the quantum state under electromagnetic interference:

[0107] After the quantum state fidelity is evaluated, if the system detects that the fidelity of the quantum state is lower than the set stability threshold (for example, F < 0.95), the active feedback mechanism will automatically start. The feedback mechanism dynamically adjusts the working parameters of the quantum system according to the results of real-time monitoring to ensure that the quantum state is restored to a stable state as much as possible.

[0108] The feedback mechanism includes adjustments to several key parameters:

[0109] Photon emission frequency: By adjusting the frequency of the photon emission source, the generation rate of quantum bits is changed, thereby reducing the interference accumulation caused by high electromagnetic interference. This parameter is adjusted by an automatic control algorithm, and the specific value is determined by the interference intensity of the electromagnetic environment.

[0110] Polarization angle: Adjust the polarization angle of the emitted photons to increase the system's resistance to electromagnetic interference. Using a dynamic polarization controller (DPC), the system can quickly adjust the polarization angle when interference is severe to maximize the stability of the quantum state.

[0111] Quantum state entanglement depth: By adjusting the phase relationship of entangled photons, the quantum entanglement depth in the system can be changed. Quantum states with greater entanglement depth are more sensitive to changes in the external environment. Therefore, in a strong interference environment, the system will automatically reduce the entanglement depth to ensure the stability of the quantum state.

[0112] S303: Use five-bit error correction code to encode quantum information, detect and repair quantum bit errors through error correction matrix, and reduce the error rate caused by electromagnetic interference:

[0113] Quantum Error Correction (QEC) is a coding and redundancy-based technology that aims to improve the reliability of quantum information transmission by detecting and repairing errors in quantum bits.

[0114] The standard five-qubit error-correcting code is used, which is a quantum error correction scheme that can correct any single-bit error. The five-qubit error-correcting code encodes each logical qubit into five physical qubits, so that even if an error occurs in a physical qubit, the system can still restore the correct logical bit value through the error correction mechanism.

[0115] The encoding process is as follows:

[0116] Each logical qubit |L> is encoded into five physical bits |P1>, |P2>, |P3>, |P4>, |P5>, generating a redundant bit set.

[0117] The system measures the correlation between redundant bits and uses a joint probability inference model to detect whether there is a bit flip or phase error.

[0118] After the error is detected, the system corrects the error according to the preset error correction matrix. The function of the error correction matrix is ​​to identify and correct the physical bit where the error occurs by analyzing the correlation between the five physical bits.

[0119] By measuring the state of all physical bits and inputting the results into the error correction matrix, the system can detect whether any physical bit is flipped or a phase error occurs. After an error is detected, the error correction system automatically triggers a repair instruction to correct the incorrect bit state to the correct state.

[0120] S304: By continuously monitoring the fidelity of the quantum state, an active feedback mechanism is formed to ensure that the adjustment and error correction process is effective and maintain the high fidelity of quantum information:

[0121] After adjusting the quantum system parameters, the quantum state stability monitoring module will evaluate the fidelity of the new quantum state again. If the fidelity is improved and exceeds the preset stability threshold, the feedback process ends and the system will maintain the current parameter settings to ensure the stable operation of the quantum state. If the fidelity does not meet the expected requirements, the system's active feedback mechanism will continue to optimize parameters such as photon emission frequency, polarization angle, etc. until the quantum state reaches a stable state.

[0122] The entire feedback process is completed within milliseconds, ensuring that the quantum state can be quickly adjusted and stabilized in an electromagnetic interference environment. The system automatically optimizes the quantum system parameters by continuously monitoring the fidelity of the quantum state to form a closed-loop control. At the same time, during the quantum error correction process, the system will recalculate the fidelity of the quantum state after error correction. If the fidelity reaches an acceptable range, the error correction process ends; otherwise, the system will continue to apply redundant coding and error correction mechanisms until the quantum information reaches high fidelity, ensuring high reliability of quantum information transmission under electromagnetic interference.

[0123] Triggering the security protocol means that the system has detected potential risks or abnormal conditions. At this time, real-time monitoring of quantum state fidelity fluctuations and evaluation of quantum entanglement entropy become important bases for assessing the current system security status and formulating follow-up action plans. Through these monitoring and evaluations, the system can more accurately understand and respond to the specific impact of electromagnetic interference on the quantum state, so as to take targeted measures to adjust or optimize system parameters to ensure the security and stability of quantum communication and data processing.

[0124] By measuring the quantum system multiple times continuously, the change in the degree of entanglement between two consecutive measurements is calculated, and the dynamic Bayesian network is used to simulate and predict the degree of entanglement decay of the quantum state, specifically:

[0125] The quantum system is measured repeatedly through a quantum state measurement device. The result of each measurement indicates the degree of entanglement in the current state. It is defined as: ζ(t)=|<Ψ(t)|Ω>| 2 .

[0126] ζ(t): The degree of entanglement between the quantum state Ψ(t) at time t and the ideal quantum state Ω, ranging from 0 to 1.

[0127] Ψ(t): actual quantum state at time t.

[0128] Ω: A preset ideal quantum state used to quantify the degree of entanglement of the system.

[0129] Through multiple measurements over a period of time, the system will obtain a series of data ζ(t1), ζ(t2), ..., ζ(t n ), which will be used for subsequent analysis and prediction, and n represents the total number of measurements or sample size of the quantum system (it refers to how many times the system measures the quantum state within a given time period).

[0130] By comparing the results of two consecutive measurements, the change in the degree of entanglement between each measurement is calculated using the formula: Δζt k =ζ(t k )-ζ(t k-1 ), where Δζt k is at time t k The change in the degree of entanglement at the moment, ζ(t k ) is at time t k The degree of entanglement at the moment, ζ(t k-1 ) is at the previous moment t k-1 The degree of entanglement, k represents the time index of the current moment.

[0131] By calculating the changes Δζt2, Δζt3, ..., Δζt n , establish a changing trend curve.

[0132] In order to predict the degree of entanglement decay of future quantum states, a dynamic Bayesian network (DBN) model is introduced. This model predicts the entanglement decay at future time points through probability inference based on the changes in the degree of historical entanglement. The node and state transition probabilities of the dynamic Bayesian network are constructed, and predictions are made on this basis.

[0133] For each time t k As a state node Its state is the current degree of entanglement ζ(t k ).

[0134] The state transition probability Defined as the time from the previous moment t k-1 To the current time t k The probability of a change in the degree of entanglement is based on the calculated change Δζt k And combined with historical data fitting.

[0135] The dynamic Bayesian network model predicts the future entanglement degree through a recursive updating process; define the next moment t k+1 The prediction formula is: in, is the prediction at time t k+1 The degree of entanglement, is the time t k To time t k+1 The state transition probability.

[0136] Through the prediction results of the dynamic Bayesian network, the predicted value of the entanglement degree at each future time point is obtained The predicted entanglement decay rate is calculated using these predicted values, and the expression is: where Λ is the predicted entanglement decay rate, is the entanglement degree of the i-th prediction, m is the total number of prediction time steps, and i represents the index of the time step used in the prediction process.

[0137] According to the calculated predicted entanglement decay rate: the larger the predicted entanglement decay rate, the higher the degree of entanglement decay of the quantum state, which means that the entanglement strength of the quantum state decays faster over time, which indicates that the quantum state within the system is more unstable and is more affected by external interference (such as electromagnetic interference). The higher the degree of entanglement decay, the easier it is to destroy the interaction between quantum states, which may lead to reduced accuracy and security of operations such as quantum communication and quantum computing.

[0138] By measuring the quantum system multiple times in succession, accurately calculating the change in the degree of entanglement between two consecutive measurements, and using dynamic Bayesian networks for simulation and prediction, it is possible to evaluate the degree of entanglement decay of quantum states in advance in a high electromagnetic interference environment. By introducing a dynamic Bayesian network, the state transition probability of the prediction model can be adjusted in real time to ensure accurate predictions of future quantum state changes. This prediction mechanism can help the system respond quickly before quantum state instability occurs, and actively adjust the parameters of the quantum system, thereby reducing quantum information transmission errors, enhancing the system's robustness and anti-interference capabilities, and ensuring the security and stability of quantum communication and quantum encryption processes.

[0139] The information exchange behavior of quantum systems is analyzed by quantum entanglement entropy, and the degree of interaction between quantum states in a high electromagnetic interference environment is evaluated; specifically:

[0140] Quantum entanglement entropy is used to measure the strength of quantum entanglement between two subsystems in a subsystem. Quantum entanglement entropy is calculated based on the density matrix of the system, which is used to describe the statistical properties of the quantum state. When the system is subjected to high electromagnetic interference, the entanglement of the quantum state may change. The formula for quantum entanglement entropy is as follows:

[0141] The quantum entanglement entropy of subsystem P at time σ is used to quantify the entanglement strength between subsystems P and Q.

[0142] ρ P (σ): represents the density matrix of the subsystem P at time σ, describing the quantum state at that moment.

[0143] T r : Trace operation, used to calculate the sum of the diagonal elements of a matrix. It is used to quantify the degree of mixing or uncertainty of a quantum state.

[0144] ρ: Density Matrix, a mathematical tool used to describe the state of a quantum system.

[0145] P represents a subsystem of the quantum system. It can be a quantum bit (qubit) or a more complex quantum state, depending on the specific quantum system architecture. Usually, the subsystem P represents a part of the entire quantum system and is used to evaluate its interaction with another subsystem.

[0146] Q represents another subsystem in the quantum system, which is quantum entangled with subsystem P. It is also part of the quantum system and may be in an entangled state with P, representing the object of information transmission and interaction in the quantum system. In a quantum system, P and Q can be different physical locations (such as two quantum communication nodes at a long distance) or different quantum states in the same quantum system.

[0147] The larger the value of quantum entanglement entropy, the stronger the entanglement between quantum states and the richer the information exchange. If the entanglement entropy is measured to decrease in a high electromagnetic interference environment, it indicates that electromagnetic interference may be weakening the interaction in the quantum system.

[0148] In an environment of high electromagnetic interference, the quantum state will be affected by interference fluctuations. Therefore, continuous measurement of quantum entanglement entropy is required to capture the changes in the quantum system at different times.

[0149] Set at multiple time points σ1, σ2, ..., σ f Measure and obtain the change of quantum entanglement entropy, which is recorded as: Among them, σ u represents the u-th moment in the time series, Indicates that at time σ u The quantum entanglement entropy measured at the time, u represents the index variable in the time series, and f represents the total number of measurements.

[0150] Through continuous measurements at different time points, the system can track the changes in quantum entanglement strength over time in real time and observe the impact of high electromagnetic interference environments on quantum systems.

[0151] After obtaining the quantum entanglement entropy data at multiple time points, it is necessary to calculate the degree of fluctuation of these data to further quantify the impact of electromagnetic interference on the quantum system. The degree of fluctuation can be measured by the standard deviation. The calculation formula for the standard deviation of the quantum entanglement entropy fluctuation is:

[0152] The standard deviation of quantum entanglement entropy fluctuations is used to indicate the fluctuation amplitude of the measurement results. The larger the fluctuation, the more serious the degree of interference to the system.

[0153] The average value of quantum entanglement entropy represents the average entanglement strength of quantum states in all measurements.

[0154] By calculating the standard deviation of the fluctuation of quantum entanglement entropy, we can quantify the changes of quantum states at different time points. If the standard deviation of the fluctuation is large, it means that the quantum system has been significantly affected by the high electromagnetic interference environment and the stability of the quantum state is poor; if the standard deviation of the fluctuation is small, it means that the system is relatively stable and the interaction between quantum states is not greatly affected.

[0155] In order to further evaluate the specific impact of electromagnetic interference on quantum state interactions, the interference quantum effect index is introduced. The interference quantum effect index is calculated by combining the standard deviation of the fluctuation of quantum entanglement entropy and the intensity of electromagnetic noise. The calculation formula of the interference quantum effect index is as follows:

[0156] Λ: Interference quantum effect index, which indicates the influence coefficient of electromagnetic interference on quantum state interaction. The larger this coefficient is, the more significant the influence of electromagnetic interference on the quantum system is.

[0157] N ε : Electromagnetic noise intensity, which indicates the noise level in a high electromagnetic interference environment. The greater the noise intensity, the greater the interference to the quantum state. This value is obtained in real time through the electromagnetic interference monitoring equipment and input into the system as a variable.

[0158] If the interference quantum effect index is small: it means that even in the electromagnetic interference environment, the interaction between quantum states is still stable, and the system can maintain the current state without further adjustment.

[0159] If the interference quantum effect index is large: it means that the interaction between quantum states is subject to significant electromagnetic interference, and the system may need to take additional measures to stabilize the quantum state, such as adjusting the parameters of the quantum key generator or strengthening the use of quantum error correction technology.

[0160] That is, the greater the interference quantum effect index, the weaker the degree of interaction between quantum states in a high electromagnetic interference environment, or the more unstable the interaction between quantum states. This is because the interference quantum effect index is based on and N ε Calculated. A larger interference quantum interaction index means that the quantum system exhibits larger fluctuations in a high electromagnetic interference environment, indicating that electromagnetic interference has a significant impact on the quantum state, and the interaction between quantum states is significantly weakened or disrupted. The worse the stability of the interaction between quantum states, the lower the stability and entanglement strength of the quantum system.

[0161] By introducing quantum entanglement entropy and interference quantum action influence index, the degree of interaction between quantum states in a high electromagnetic interference environment can be effectively evaluated. Quantum entanglement entropy is used to quantify the quantum entanglement strength of the two subsystems in the system. The standard deviation of its fluctuation is calculated through multiple measurements to further quantify the stability of the system in different electromagnetic environments. The interference quantum action influence index combines the fluctuation of quantum entanglement entropy and the intensity of electromagnetic noise, which can accurately evaluate the actual impact of electromagnetic interference on the quantum system, help the system to warn in advance and adjust the operating parameters of the quantum state, and ensure the security and stability of quantum communication and quantum key distribution processes.

[0162] S5 is as follows:

[0163] Through the prediction model of quantum state entanglement changes in the early stage, the predicted entanglement decay rate is calculated, which indicates the speed of quantum state entanglement decay in the future. A larger predicted entanglement decay rate means that the stability of the quantum state is reduced and the quantum entanglement decays quickly, which needs to be paid attention to by the system.

[0164] The interference quantum effect index is calculated using the real-time monitored quantum entanglement entropy fluctuation standard deviation and electromagnetic noise intensity to evaluate the stability of quantum state interactions under high electromagnetic interference environments. A larger interference quantum effect index indicates that the interaction strength between quantum states is weakened by electromagnetic interference, and the overall stability of the system is poor.

[0165] The predicted entanglement decay rate and the interference quantum action influence index are normalized, and the normalized predicted entanglement decay rate and the interference quantum action influence index are respectively assigned weights to calculate the quantum stability comprehensive evaluation coefficient, which can be specifically achieved by the following formula: Δ=w1·Λ+w2·Γ; wherein Δ is the quantum stability comprehensive evaluation coefficient, indicating the stability of the current quantum system; w1 and w2 are the weights of the predicted entanglement decay rate and the interference quantum action influence index, respectively, and w1 and w2 are both greater than 0.

[0166] Δ and Δ threshold For comparison:

[0167] When Δ≤Δ threshold :The quantum system is relatively stable, the entanglement and interaction of quantum states are less affected by interference, and the system can continue to operate normally.

[0168] When Δ>Δ threshold :The instability of quantum systems increases and they may be affected by greater electromagnetic interference. At this time, dynamic micro-isolation strategies need to be implemented.

[0169] When Δ>Δ threshold , triggering dynamic micro-isolation. The specific execution steps of dynamic micro-isolation include:

[0170] Data channel isolation: Through partitioning technology, the data transmission channel between the host and key nodes is partially isolated, giving priority to protecting high-priority data channels and preventing excessive quantum key information from being exposed to an unstable environment.

[0171] Adjustment of quantum key generation and distribution strategy: Reduce the frequency of quantum key generation and extend the key update cycle to reduce the impact of high electromagnetic interference environment on quantum state.

[0172] Communication frequency band switching: When the impact of high electromagnetic interference is serious, the system can automatically switch to a frequency band with less electromagnetic interference or an alternative communication channel to ensure the security of quantum key transmission and the stability of data transmission.

[0173] Real-time monitoring and feedback: The system continues to monitor the changes in Δ. If the system returns to stability, micro-isolation measures can be gradually withdrawn and normal data transmission can be restored.

[0174] Δ thresholdThe setting of is based on historical data, system stability requirements, and experimental results in different interference environments. By analyzing the performance of the system under different electromagnetic interference intensities and quantum state interactions over a long period of time, the system can determine under what conditions the entanglement and interaction of quantum states will lead to instability. Usually, by performing statistical regression analysis on experimental data under multiple electromagnetic interference environments, a critical value is found. When the value is exceeded, the system shows obvious performance degradation or data security risks, thereby determining Δ threshold reasonable value.

[0175] The settings of w1 and w2 are also based on historical data analysis and experimental testing, depending on the relative importance of the predicted entanglement decay rate and the interference quantum effect index on the system under different electromagnetic interference environments. By performing a sensitivity analysis of the system's response under different environments, the system can determine which item has a greater impact on the stability of the quantum system, thereby giving it a higher weight. The weights can be tuned through multiple experiments, using machine learning or statistical regression methods to dynamically adjust the values ​​of w1 and w2 to achieve the best balance.

[0176] By comprehensively analyzing the entanglement decay of quantum states and the stability of interactions, an accurate assessment of the stability of quantum systems in high electromagnetic interference environments can be achieved. By predicting the normalization and weighted calculation of the entanglement decay rate and the interference quantum effect index, a comprehensive quantum stability assessment coefficient is generated to ensure that the system maintains dynamic adaptability under different interference conditions. If an increase in system instability is detected, the dynamic micro-isolation strategy is automatically triggered to effectively protect the security of data transmission and quantum key generation processes. This not only improves the stability of the system in complex electromagnetic environments, but also ensures that the system can automatically adjust the micro-isolation strategy when it recovers stability through real-time monitoring and feedback mechanisms, achieving efficient system management and security protection.

[0177] Example 2

[0178] The difference between Example 2 of the present invention and Example 1 is that this example introduces a host security micro-isolation system for a power monitoring system.

[0179] Figure 2 The present invention provides a schematic diagram of the structure of a power monitoring system host security micro-isolation system, which includes a quantum key generation module, an electromagnetic interference monitoring module, an active feedback mechanism module, an entanglement attenuation prediction module, an information exchange analysis module, and a comprehensive analysis isolation module.

[0180] Quantum key generation module: A quantum key generator is set up in the host to generate encryption keys using quantum randomness; the keys are transmitted to key nodes through the quantum key distribution system.

[0181] Electromagnetic interference monitoring module: real-time monitoring of the electromagnetic interference level of the host's power environment; when electromagnetic interference higher than the preset threshold is detected, the safety protocol is automatically triggered.

[0182] Active feedback mechanism module: After the security protocol is triggered, the parameters of the quantum system are adjusted through the active feedback mechanism to ensure the stability of the quantum state; quantum error correction technology is used to reduce the error rate of quantum information.

[0183] Entanglement decay prediction module: By measuring the quantum system multiple times continuously, the change in the degree of entanglement between two consecutive measurements is calculated, and the dynamic Bayesian network is used to simulate and predict the degree of entanglement decay of the quantum state.

[0184] Information exchange analysis module: Analyze the information exchange behavior of quantum systems through quantum entanglement entropy and evaluate the degree of interaction between quantum states in a high electromagnetic interference environment.

[0185] Comprehensive analysis and isolation module: Comprehensively analyze the entanglement decay degree of quantum states and the degree of interaction between quantum states in a high electromagnetic interference environment. Based on the comprehensive analysis results, a dynamic micro-isolation strategy is implemented between the host and key nodes.

[0186] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters and thresholds in the formula are set by technicians in this field according to actual conditions.

[0187] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website site, computer, server or data center to another website site, computer, server or data center by wired (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.

[0188] Those of ordinary skill in the art will appreciate that the modules and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0189] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and modules described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0190] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the modules is only a logical function division. There may be other division methods in actual implementation, such as multiple modules or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or modules, which can be electrical, mechanical or other forms.

[0191] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, and may be located in one place or distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0192] In addition, each functional module in each embodiment of the present application may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module.

[0193] If the functions are implemented in the form of software function modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0194] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0195] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for host security micro-isolation of a power monitoring system, characterized in that: The steps include: S1: Set up a quantum key generator in the host and use quantum randomness to generate encryption keys; transmit the keys to key nodes through the quantum key distribution system; S2: Real-time monitoring of the electromagnetic interference level of the host's power environment; when electromagnetic interference higher than a preset threshold is detected, the safety protocol is automatically triggered; S3: After the security protocol is triggered, the parameters of the quantum system are adjusted through an active feedback mechanism to ensure the stability of the quantum state; quantum error correction technology is used to reduce the error rate of quantum information; S4: By measuring the quantum system multiple times continuously, we can calculate the change in the degree of entanglement between two consecutive measurements, and use the dynamic Bayesian network to simulate and predict the degree of entanglement decay of the quantum state; Analyze the information exchange behavior of quantum systems through quantum entanglement entropy and evaluate the degree of interaction between quantum states in high electromagnetic interference environments; S5: Conduct a comprehensive analysis of the entanglement decay degree of quantum states and the degree of interaction between quantum states in a high electromagnetic interference environment. Based on the comprehensive analysis results, implement a dynamic micro-isolation strategy between the host and key nodes.

2. A method for host security micro-isolation of a power monitoring system according to claim 1, characterized in that: S1 specifically includes: S101: Install a high-precision quantum key generator in the power monitoring system host; S102: Generate an encryption key based on quantum properties using a quantum random number generator; S103: Initialize the quantum key distribution system and establish a key transmission channel between the host and each key node; S104: configuring a key distribution protocol and determining a security standard used in the encryption key transmission process; S105: Transmit the quantum key to key nodes through the quantum key distribution system, and monitor the integrity of the transmission process in real time.

3. A method for host security micro-isolation of a power monitoring system according to claim 1, characterized in that: S2 specifically includes: S201: Deploy highly sensitive electromagnetic interference monitoring devices around the host to capture electromagnetic signals in the environment in real time; S202: Setting a preset threshold of electromagnetic interference according to system stability and sensitivity requirements; S203: Continuously monitor electromagnetic interference data and use real-time analysis software to evaluate interference intensity and possible trends; S204: Compare the electromagnetic interference data collected in real time with a preset threshold to determine whether it exceeds the threshold; S205: When the detected electromagnetic interference exceeds a threshold, a predefined safety protocol is automatically triggered; Security protocols include quantum key distribution pause, quantum key regeneration, isolated communication channels, and alarm notifications.

4. A method for host security micro-isolation of a power monitoring system according to claim 1, characterized in that: S3 specifically includes: S301: Evaluate the state fluctuation of quantum bits in real time and use the fidelity formula to determine the stability of the quantum state; S302: Dynamically adjust the photon emission frequency, polarization angle and entanglement depth according to the quantum state fidelity result; S303: Encoding quantum information using a five-bit error correction code, and detecting and repairing quantum bit errors using an error correction matrix; S304: By continuously monitoring the fidelity of quantum states, an active feedback mechanism is formed to maintain the high fidelity of quantum information.

5. A method for host security micro-isolation of a power monitoring system according to claim 4, characterized in that: The quantum state fidelity evaluation function is used to determine the deviation between the current quantum state and the target quantum state, where the fidelity formula is as follows: F(ψ, φ) = |<ψ|φ>| 2 ; Among them, F(ψ, φ) is the quantum state fidelity evaluation function, ψ represents the currently measured quantum state, and φ represents the ideal quantum state.

6. A method for secure micro-isolation of a host in a power monitoring system according to claim 1, characterized in that: By measuring the quantum system multiple times continuously, the change in the degree of entanglement between two consecutive measurements is calculated, and the dynamic Bayesian network is used to simulate and predict the degree of entanglement decay of the quantum state, specifically: The quantum system is measured repeatedly through the quantum state measurement device: ζ(t)=|<Ψ(t)|Ω>| 2 ; Where ζ(t) is the degree of entanglement between the quantum state Ψ(t) at time t and the ideal quantum state Ω, Ψ(t) is the actual quantum state at time t, and Ω is the preset ideal quantum state; Through multiple measurements, a series of data ζ(t1), ζ(t2), ..., ζ(t n ), n represents the total number of measurements of the quantum system; By comparing the results of two consecutive measurements, the change in the degree of entanglement between each measurement is calculated: in, is at time t k The change in the degree of entanglement at the moment, ζ(t k ) is at time t k The degree of entanglement at the moment, ζ(t k-1 ) is at the previous moment t k-1 The degree of entanglement, k represents the time index of the current moment; For each time t k As a state node The state transition probability Defined as the time from the previous moment t k-1 To the current time t k The probability of the entanglement degree changing; The dynamic Bayesian network model predicts the future entanglement degree through a recursive updating process; define the next moment t k+1 The prediction formula is: in, is the prediction at time t k+1 The degree of entanglement, is the time t k To time t k+1 The state transition probability of Through the prediction results of the dynamic Bayesian network, the predicted value of the entanglement degree at each future time point is obtained, and the predicted entanglement decay rate is calculated, and its expression is: where Λ is the predicted entanglement decay rate, is the entanglement degree of the i-th prediction, m is the total number of prediction time steps, and i represents the index of the time step used in the prediction process.

7. A method for secure micro-isolation of a host in a power monitoring system according to claim 1, characterized in that: The information exchange behavior of quantum systems is analyzed by quantum entanglement entropy, and the degree of interaction between quantum states in a high electromagnetic interference environment is evaluated; specifically: The formula for quantum entanglement entropy is as follows: in, is the quantum entanglement entropy of the subsystem P at time σ, ρ P (σ) represents the density matrix of subsystem P at time σ, Tr is the trace operation, ρ is the density matrix, P represents a subsystem of the quantum system; Q represents another subsystem in the quantum system; Set at multiple time points σ1, σ2, ..., σ f Measure and obtain the change of quantum entanglement entropy, which is recorded as: Among them, σ u represents the u-th moment in the time series, Indicates that at time σ u The quantum entanglement entropy measured at the time, u represents the index variable in the time series, and f represents the total number of measurements; Calculate the standard deviation of the quantum entanglement entropy fluctuations, and the calculation formula is: in, is the standard deviation of the fluctuation of quantum entanglement entropy, is the average value of quantum entanglement entropy; Calculate the interference quantum effect index, the calculation formula is as follows: Among them, Γ is the interference quantum effect index, N ε is the electromagnetic noise intensity.

8. A method for secure micro-isolation of a host in a power monitoring system according to claim 1, characterized in that: S5 is as follows: The predicted entanglement decay rate and the interference quantum effect index are normalized, and the normalized predicted entanglement decay rate and the interference quantum effect index are respectively weighted to calculate the quantum stability comprehensive evaluation coefficient; Δ and Δ threshold For comparison: When Δ>Δ threshold , triggering dynamic micro-isolation. The specific execution steps of dynamic micro-isolation include: data channel isolation, quantum key generation and distribution strategy adjustment, communication frequency band switching, and real-time monitoring and feedback; Among them, Δ is the comprehensive evaluation coefficient of quantum stability.

9. A power monitoring system host security micro-isolation system, used to implement a power monitoring system host security micro-isolation method according to any one of claims 1 to 8, characterized in that: It includes quantum key generation module, electromagnetic interference monitoring module, active feedback mechanism module, entanglement decay prediction module, information exchange analysis module and comprehensive analysis isolation module. Quantum key generation module: A quantum key generator is set up in the host to generate encryption keys using quantum randomness; the keys are transmitted to key nodes through a quantum key distribution system; Electromagnetic interference monitoring module: real-time monitoring of the electromagnetic interference level of the host's power environment; when electromagnetic interference higher than the preset threshold is detected, the safety protocol is automatically triggered; Active feedback mechanism module: After the security protocol is triggered, the parameters of the quantum system are adjusted through the active feedback mechanism to ensure the stability of the quantum state; quantum error correction technology is used to reduce the error rate of quantum information; Entanglement decay prediction module: by measuring the quantum system multiple times continuously, the change in the degree of entanglement between two consecutive measurements is calculated, and the dynamic Bayesian network is used to simulate and predict the degree of entanglement decay of the quantum state; Information exchange analysis module: Analyze the information exchange behavior of quantum systems through quantum entanglement entropy and evaluate the degree of interaction between quantum states in a high electromagnetic interference environment; Comprehensive analysis and isolation module: Comprehensively analyze the entanglement decay degree of quantum states and the degree of interaction between quantum states in a high electromagnetic interference environment. Based on the comprehensive analysis results, a dynamic micro-isolation strategy is implemented between the host and key nodes.

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