HPLC-HRF collaborative dual-mode communication data security protection system

Through the HPLC-HRF collaborative dual-mode communication data security protection system, the algorithm units of the data collection and calculation processing module dynamically adjust the communication mode, solving the problems of communication security and inefficiency in complex network environments, and achieving reasonable allocation of resources and stability of data transmission.

CN120281337APending Publication Date: 2025-07-08NANJING HUASHEYUN INFORMATION TECH CO LTD
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Patent Information

Application Number
CN202510588753.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-05-07
Publication Date
2025-07-08

AI Technical Summary

Technical Problem

The existing HPLC communication methods are difficult to ensure the security and efficiency of data communication in complex network environments, and HPLC-HRF collaborative dual-mode communication is difficult to reasonably allocate modes and resources according to real-time states, resulting in low resource utilization efficiency.

Method used

The network environment data is collected through the data collection module, and the algorithm units in the calculation processing module are used to dynamically adjust the HPLC and HRF communication modes, including the dual-mode communication fluctuation value algorithm unit, the channel quality comprehensive value algorithm unit and the parameter adjustment algorithm unit, and the communication mode is monitored and adjusted in real time to balance resource utilization and improve security.

Benefits of technology

It realizes dynamic evaluation of communication status in complex network environments, automatically switch communication modes, improve resource utilization efficiency and data communication security, and ensures real-time and accurate transmission of smart meter data.

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Abstract

The invention discloses an HPLC-HRF (High Performance Liquid Chromatography-High Radio Frequency) collaborative dual-mode communication data security protection system, and relates to the technical field of security protection systems. A core architecture of the HPLC-HRF collaborative dual-mode communication data security protection system is jointly formed through mutual cooperation of a plurality of groups of algorithm units; the dual-mode communication fluctuation value Dcf is calculated by considering the real-time communication state in the HPLC-HRF cooperative dual-mode communication, so that the dual-mode communication data security protection system can dynamically evaluate the current communication condition, the two communication modes of HPLC and HRF are distributed more reasonably, the bandwidths and the power resources of the two modes are balanced, and the safety of the dual-mode communication data security protection system is improved. The channel quality comprehensive value Cqv is calculated by incorporating the noise influence value into the channel quality comprehensive value algorithm unit, so that the actual condition of the channel in the HPLC-HRF cooperative dual-mode data communication can be reflected more comprehensively, the system can discover the change of the channel quality in time, and the user experience is improved. And corresponding measures are taken to improve the security and efficiency of communication.
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Description

Technical Field

[0001] The present invention relates to the technical field of security protection systems, and specifically to an HPLC-HRF collaborative dual-mode communication data security protection system. Background Technique

[0002] HPLC uses the power line as a transmission medium to transmit data through carrier signals, featuring high speed (up to 1 Mbps), wide coverage (within 1 km), and support for real-time two-way communication. HRF uses high-frequency radio waves for data transmission, with the characteristics of long transmission distance, strong anti-interference ability, and suitability for complex environments, which can closely make up for the deficiencies of power line communication HPLC in long-distance or interference environments.

[0003] For example, a security protection system based on small wireless and power line broadband carrier dual-mode communication disclosed in Chinese invention CN202411285565.9 realizes a wide-coverage communication network through the combination of small wireless communication and power line carrier communication.

[0004] Currently, the existing test methods for reading electricity meters are based on the original broadband power line carrier communication technology (HPLC). Such a single communication method is difficult to perform secure and reliable data communication in complex network environments, such as in the presence of electromagnetic interference, network congestion, etc., and the security and efficiency of data communication are relatively low.

[0005] If HPLC-HRF collaborative dual-mode communication is adopted, the current existing technologies are difficult to reasonably allocate the two communication modes of HPLC and HRF according to the real-time communication status and the noise influence in dual-mode communication, difficult to balance the bandwidth and power resources of the two modes, and difficult to ensure the resource utilization efficiency and improve the security during dual-mode data communication.

[0006] Therefore, there is an urgent need for an HPLC-HRF collaborative dual-mode communication data security protection system to solve the above problems. Summary of the Invention

[0007] The purpose of the present invention is to provide an HPLC-HRF collaborative dual-mode communication data security protection system to solve the problems raised in the above background technique.

[0008] To achieve the above purpose, the present invention provides the following HPLC-HRF collaborative dual-mode communication data security protection system, including:

[0009] A data collection module for collecting data of the network environment during dual-mode communication. The collected network environment data includes:

[0010] Communication delay Cd, data packet loss rate Plr, number of dual-mode switching times St, power line channel signal-to-noise ratio Esnr, noise power spectral density Nps, wireless interference noise ratio Wdn;

[0011] The data preprocessing module decodes and preprocesses the collected network environment data to obtain the parameters involved in the calculation and processing module;

[0012] The calculation and processing module includes:

[0013] The dual-mode communication fluctuation value algorithm unit is used to calculate the dual-mode communication fluctuation value Dcf according to the two real-time network environment factors of communication delay Cd and data packet loss rate Plr and in combination with the number of dual-mode switching times St, and dynamically change the two communication modes of HPLC-HRF according to the dual-mode communication fluctuation value Dcf;

[0014] The channel quality comprehensive value algorithm unit is used to take the dual-mode communication fluctuation value Dcf as an input parameter and calculate the channel quality comprehensive value Cqv in combination with the noise influence terms such as power line channel signal-to-noise ratio Esnr, noise power spectral density Nps, and wireless interference noise ratio Wdn, and adjust the HPLC modulation level according to the channel quality comprehensive value Cqv;

[0015] The parameter adjustment algorithm unit is used to adjust the parameters in the dual-mode communication fluctuation value algorithm unit to reduce the dual-mode communication fluctuation value Dcf obtained in the next round of calculation, suppress communication fluctuations, and improve system stability.

[0016] Optionally, the data collection of the network environment during dual-mode communication specifically includes:

[0017] Monitoring and obtaining the number of dual-mode switching times St through the dual-mode communication controller;

[0018] Monitoring and obtaining the communication delay Cd and data packet loss rate Plr through the network monitoring tool;

[0019] Measuring and obtaining the power line channel signal-to-noise ratio Esnr and noise power spectral density Nps through the spectrum analyzer;

[0020] Monitoring and obtaining the wireless interference noise ratio Wdn through the wireless receiver.

[0021] Optionally, the adjustment of the HPLC modulation level specifically includes: setting the safety threshold Y1 to 0.3, setting the danger threshold Y2 to 0.05, and comparing the channel quality comprehensive value Cqv with the safety threshold Y1 and the danger threshold Y2:

[0022] When Cqy > Y1, change the modulation level of the high-speed carrier communication on the low-voltage power line from the QPSK modulation level to the 16QAM, improve the transmission speed, and continue the data communication of the intelligent meter automatic meter reading system;

[0023] When Y2 < Cqy < Y1, maintain the QPSK modulation level and continue the data communication of the intelligent meter automatic meter reading system;

[0024] When Cqy < Y2, change the modulation level of the low-voltage power line high-speed carrier communication from the QPSK modulation level to the BPSK, reduce the transmission speed, and continue the data communication of the intelligent meter automatic meter reading system to improve the anti-interference ability and security of data communication during intelligent meter automatic meter reading.

[0025] Optionally, the parameter adjustment specifically includes:

[0026] When the comprehensive channel quality value Cqv < the dangerous threshold Y2, it means that the HPLC-HRF dual-mode communication system is in a dangerous state of communication link instability. Calculate and adjust the communication fluctuation adjustment factor α in the dual-mode communication fluctuation value algorithm unit through the parameter adjustment algorithm unit. In the calculation of the calculation processing module in the next hour, substitute the adjusted communication fluctuation adjustment factor α back into the dual-mode communication fluctuation value algorithm unit to calculate the dual-mode communication fluctuation value Dcf.

[0027] Optionally, the calculation logic of the dual-mode communication fluctuation value algorithm unit includes:

[0028] S11, quantify the positive impact of dual-mode frequent switching on the dual-mode communication fluctuation value Dcf through a linear function, and quantify the influence value of the dual-mode switching times St on the dual-mode communication fluctuation value Dcf to ±0.25 to avoid the excessive influence on the dual-mode communication fluctuation value Dcf when the value of the dual-mode switching times St is high;

[0029] S12, reflect the influence value of the communication delay Cd on the calculation of the dual-mode communication fluctuation value Dcf through an exponential function to amplify the influence degree on the calculation of the dual-mode communication fluctuation value Dcf when the communication delay Cd increases;

[0030] S13, quantify the positive impact of the data packet loss rate on the dual-mode communication fluctuation value Dcf through a linear function.

[0031] Optionally, the calculation logic of the comprehensive channel quality value algorithm unit includes:

[0032] S21, suppress the excessive influence on the comprehensive channel quality value Cqv when the signal-to-noise ratio Esnr of the power line channel is large through a logarithmic function, and amplify the influence on the comprehensive channel quality value Cqv when the signal-to-noise ratio Esnr of the power line channel is low;

[0033] Optionally, the calculation logic of the comprehensive channel quality value algorithm unit further includes:

[0034] S22. The combined interference intensity of the power line and the wireless channel is reflected by the noise power spectral density Nps and the wireless interference noise ratio Wdn, and the combined interference intensity is quantified into a numerical impact term and incorporated into the calculation of the channel quality comprehensive value Cqv.

[0035] Optionally, the calculation logic of the parameter adjustment algorithm unit includes:

[0036] S31. The channel quality impact term is obtained by subtracting the channel quality comprehensive value Cqv from the danger threshold Y2 and then dividing by the danger threshold Y2 for normalization processing.

[0037] S32. The obtained channel quality impact term is used as the exponential part of the negative exponential function with base e. Since the derivative of the exponential function e x is itself and its curve has the characteristics of being continuous and without mutations, a smooth transition of the dynamic communication fluctuation adjustment factor α is realized.

[0038] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0039] First, through the mutual cooperation of multiple algorithm units, the present invention constitutes the core architecture of an HPLC-HRF collaborative dual-mode communication data security protection system. By considering the real-time communication status (communication delay Cd and data packet loss rate Plr) in HPLC-HRF collaborative dual-mode communication, the dual-mode communication fluctuation value Dcf is calculated, enabling the dual-mode communication data security protection system to dynamically evaluate the current communication situation. When the dual-mode communication fluctuation value Dcf is low, it indicates that the communication situation is good, and the system will preferentially use the HPLC communication mode. When the dual-mode communication fluctuation value Dcf is high, it indicates that the communication situation fluctuates greatly, and the system can automatically switch to the HRF communication mode with higher security and efficiency. This dual-mode collaborative operation can more reasonably allocate the two communication modes of HPLC and HRF and balance the bandwidth and power resources of the two modes, so as to improve the resource utilization efficiency and the security during dual-mode data communication.

[0040] Second, by incorporating the three noise impact values in the dual-mode communication, namely the power line channel signal-to-noise ratio Esnr, the noise power spectral density Nps, and the wireless interference noise ratio Wdn, into the channel quality comprehensive value algorithm unit to calculate the channel quality comprehensive value Cqv, the present invention can more comprehensively reflect the actual situation of the channel in HPLC-HRF collaborative dual-mode data communication, enabling the HPLC-HRF collaborative dual-mode communication data security protection system to timely detect changes in channel quality and take corresponding measures to improve communication security and efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 It is a schematic diagram of the overall structure of an HPLC-HRF collaborative dual-mode communication data security protection system. Detailed implementation mode

[0042] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative work shall fall within the protection scope of the present invention.

[0043] Embodiment 1. Please refer to Figure 1 , the present invention provides an HPLC-HRF collaborative dual-mode communication data security protection system, including:

[0044] A data collection module for collecting data of the network environment during dual-mode communication, specifically including:

[0045] Monitoring and obtaining the number of dual-mode switches St through a dual-mode communication controller;

[0046] Monitoring and obtaining the communication delay Cd and the data packet loss rate Plr through a network monitoring tool;

[0047] Measuring and obtaining the power line channel signal-to-noise ratio Esnr and the noise power spectral density Nps through a spectrum analyzer;

[0048] Monitoring and obtaining the wireless interference noise ratio Wdn through a wireless receiver;

[0049] A data preprocessing module for decoding and preprocessing the collected network environment data to obtain parameters participating in the calculation processing module;

[0050] The calculation processing module includes:

[0051] A dual-mode communication fluctuation value algorithm unit for calculating a dual-mode communication fluctuation value Dcf according to two real-time network environment factors, namely the communication delay Cd and the data packet loss rate Plr, and combining the number of dual-mode switches St, and dynamically changing the two communication modes of HPLC-HRF according to the fluctuation value;

[0052] A channel quality comprehensive value algorithm unit for taking the dual-mode communication fluctuation value Dcf as an input parameter and combining noise influence items such as the power line channel signal-to-noise ratio Esnr, the noise power spectral density Nps, and the wireless interference noise ratio Wdn to calculate a channel quality comprehensive value Cqv, and adjusting the HPLC modulation level according to the channel quality comprehensive value Cqv, specifically including:

[0053] Comparing the channel quality comprehensive value Cqv with a safety threshold Y1 and a danger threshold Y2:

[0054] When Cqy > Y1, change the modulation level of high-speed carrier communication over low-voltage power lines from the QPSK modulation level to the 16QAM modulation level to increase the transmission speed, and continue the data communication of the intelligent meter centralized reading system;

[0055] When Y2 < Cqy < Y1, maintain the QPSK modulation level and continue the data communication of the intelligent meter centralized reading system;

[0056] When Cqy < Y2, change the modulation level of high-speed carrier communication over low-voltage power lines from the QPSK modulation level to the BPSK modulation level to decrease the transmission speed, and continue the data communication of the intelligent meter centralized reading system to improve the anti-interference ability and security of data communication during intelligent meter centralized reading;

[0057] The parameter adjustment algorithm unit is used to perform parameter adjustment in the dual-mode communication fluctuation value algorithm unit, specifically including:

[0058] When the comprehensive channel quality value Cqv < the danger threshold Y2, it means that the HPLC-HRF dual-mode communication system is in a dangerous state of communication link instability. The parameter adjustment algorithm unit calculates and adjusts to reduce the communication fluctuation adjustment factor α in the dual-mode communication fluctuation value algorithm unit. In the calculation of the calculation processing module in the next hour, the adjusted communication fluctuation adjustment factor α is re-substituted into the dual-mode communication fluctuation value algorithm unit to calculate the dual-mode communication fluctuation value Dcf to suppress communication fluctuations and improve system stability.

[0059] In this embodiment:

[0060] Through the mutual cooperation of multiple groups of algorithm units, the present invention jointly constitutes the core architecture of an HPLC-HRF collaborative dual-mode communication data security protection system. By considering the real-time communication status (communication delay Cd and data packet loss rate Plr) in HPLC-HRF collaborative dual-mode communication and combining the number of dual-mode switches St, the dual-mode communication fluctuation value Dcf is calculated, enabling the dual-mode communication data security protection system to dynamically evaluate the current communication status. When the dual-mode communication fluctuation value Dcf is low, it indicates that the communication status is good, and the system will preferentially use the HPLC communication mode. When the dual-mode communication fluctuation value Dcf is high, it indicates that the communication status fluctuates greatly, and the system can automatically switch to the HRF communication mode with higher security and efficiency. Adopting dual-mode collaborative work can more reasonably allocate the loads of the HPLC and HRF communication modes, avoid overuse of a single mode, and thus balance the bandwidth and power resources of the two modes to improve resource utilization efficiency and the security of dual-mode data communication.

[0061] Moreover, through the channel quality comprehensive value algorithm unit, by comprehensively considering the three noise influence values in the dual-mode communication, namely the signal-to-noise ratio Esnr of the power line channel, the noise power spectral density Nps, and the wireless interference noise ratio Wdn, the channel quality comprehensive value Cqv is calculated, which can more comprehensively reflect the actual condition of the channel in the HPLC-HRF collaborative dual-mode data communication. And by real-time monitoring the channel quality comprehensive value Cqv, the HPLC-HRF collaborative dual-mode communication data security protection system can timely detect changes in the channel quality and take corresponding measures to improve the security and efficiency of communication. When the channel quality comprehensive value Cqv is low, it indicates that the channel quality is poor, and the system will reduce the transmission rate to ensure the stable transmission of the signal. When the channel quality comprehensive value Cqv is high, it indicates that the channel quality is good, and the system will increase the transmission rate to improve the efficiency of data communication.

[0062] Please refer to Figure 1 , the dual-mode communication fluctuation value algorithm unit is as follows:

[0063]

[0064] Where:

[0065] Dcf represents the dual-mode communication fluctuation value;

[0066] St represents the number of dual-mode switches, which is the number of switches between the HPLC power line and the HRF high-frequency radio frequency within one hour, and is obtained by monitoring through the dual-mode communication controller. St ∈ [0, 10]. When the number of dual-mode switches St is greater than 10, the value is taken as 10;

[0067] Cd represents the communication delay, which is obtained by monitoring through a network monitoring tool;

[0068] Plr represents the packet loss rate, which is obtained by monitoring through a network monitoring tool;

[0069] α represents the communication fluctuation adjustment factor, and the default value is 1;

[0070] In the formula calculation:

[0071] The part of 0.75 + 0.05 × St quantifies the positive impact of frequent dual-mode switching on the dual-mode communication fluctuation value Dcf and quantifies the influence value of the number of dual-mode switches St on the dual-mode communication fluctuation value Dcf to ±0.25, avoiding the excessive influence of a high value of the number of dual-mode switches St on the dual-mode communication fluctuation value Dcf. Specifically:

[0072] Under the condition of the stability of the intelligent meter data collection system, the number of dual-mode switches of the HPLC-HRF dual-mode communication within one hour should be ≤ 5 times;

[0073] When St = 5, the value of 0.75 + 0.05×St is 1, indicating that the HPLC-HRF dual-mode communication is relatively stable. At this time, the number of dual-mode switches St will not affect the calculation of the dual-mode communication fluctuation value Dcf;

[0074] When St < 5, the value of 0.75 + 0.05×St is less than 1, indicating that the HPLC-HRF dual-mode communication is very stable, and the calculated dual-mode communication fluctuation value Dcf decreases;

[0075] When St > 5, the value of 0.75 + 0.05×St > 1, indicating that the HPLC-HRF dual-mode communication switches frequently and the intelligent electricity meter data collection system is unstable, and the calculated dual-mode communication fluctuation value Dcf increases;

[0076] This part reflects the influence value of the communication delay Cd on the calculation of the dual-mode communication fluctuation value Dcf through an exponential function to amplify the influence degree on the calculation of the dual-mode communication fluctuation value Dcf when the communication delay Cd increases. Specifically:

[0077] In a communication system, the influence of the communication delay Cd on the system performance is often non-linear. When the delay is small, the system may still work normally, but when the delay increases to a certain extent, the system performance will drop sharply. The exponential function can better reflect this non-linear influence, that is, as the communication delay Cd increases, the calculated dual-mode communication fluctuation value Dcf increases, and the growth rate of the dual-mode communication fluctuation value Dcf will increase with the increase of the communication delay Cd;

[0078] The part of 1 + Plr quantifies the positive influence of the data packet loss rate on the dual-mode communication fluctuation value Dcf through a linear function. The data packet loss rate Plr is a percentage value. As the data packet loss rate Plr increases, the calculated dual-mode communication fluctuation value Dcf increases;

[0079] In this embodiment:

[0080] The dual-mode communication fluctuation value Dcf is calculated by comprehensively considering the number of dual-mode switches St, the communication delay Cd, and the data packet loss rate Plr through the dual-mode communication fluctuation value algorithm unit. By real-time monitoring the dual-mode communication fluctuation value Dcf, the system can dynamically evaluate the current communication status. When the dual-mode communication fluctuation value Dcf is low, it indicates that the communication status is good, and the system will preferentially use the HPLC communication mode. When the dual-mode communication fluctuation value Dcf is high, it indicates that the communication status fluctuates greatly, and the system can automatically switch to the HRF communication mode with higher security and efficiency. Specifically:

[0081] By adopting dual-mode collaborative operation, it is possible to more reasonably allocate the loads of the two communication modes of HPLC and HRF, avoid overuse of a single mode, thereby balancing the bandwidth and power resources of the two modes, and improving the resource utilization efficiency and the security during dual-mode data communication.

[0082] By continuously monitoring the dual-mode communication fluctuation value Dcf and adjusting the communication mode through the dual-mode communication fluctuation value algorithm unit, it is possible to maintain stable communication quality, improve the security of dual-mode communication data, enabling the dual-mode communication data security protection system to maintain the security during dual-mode data communication while maintaining the data communication transmission efficiency in a complex network environment (such as the presence of electromagnetic interference, network congestion, etc.), so as to ensure the real-time and accurate transmission of smart meter data.

[0083] Please refer to Figure 1 , the comprehensive channel quality value algorithm unit is as follows:

[0084]

[0085] Where:

[0086] Cqv represents the comprehensive channel quality value;

[0087] Dcf represents the dual-mode communication fluctuation value;

[0088] Esnr represents the signal-to-noise ratio of the power line channel, which is used to reflect the transmission clarity of the signal in the power line medium. It is obtained by measuring the signal power and noise power with a spectrum analyzer and calculating according to the signal-to-noise ratio calculation formula. The signal-to-noise ratio calculation in data communication is a relatively mature existing calculation, and will not be elaborated here;

[0089] Esnr ave represents the reference value of the signal-to-noise ratio of the power line channel;

[0090] Nps represents the noise power spectral density, which is the noise power spectral density of the power line and reflects the energy distribution of the noise on the power line at different frequencies. It is obtained by measuring and calculating with a spectrum analyzer. Specifically:

[0091] By obtaining the noise signal data with a spectrum analyzer, then performing a Fourier transform on the noise signal to obtain the complex spectrum in the frequency domain, and finally calculating the square of the modulus of the complex spectrum, the noise power spectral density Nps can be obtained. This is a relatively mature existing technology in the field of spectrum analyzers and will not be elaborated here;

[0092] Wdn represents the wireless interference noise ratio, which represents the intensity difference between the interference signal and the background noise in the wireless frequency band and is obtained by monitoring with a wireless receiver;

[0093] Esnr ave The calculation formula of is as follows:

[0094]

[0095] Among them:

[0096] Esnr ave represents the reference value of the signal-to-noise ratio of the power line channel;

[0097] Esnri represents the signal-to-noise ratio of the power line channel in the i-th hour of last week;

[0098] N represents the total number of hours of dual-mode communication. For the i-th hour less than one hour, one hour is taken;

[0099] In the formula calculation:

[0100] This part reflects the influence of the signal-to-noise ratio Esnr of the power line channel on the comprehensive channel quality value Cqv through the logarithmic function. Specifically:

[0101] When Esnr > Esnr ave , This part of the value is greater than 0, This part of the influence term of the signal-to-noise ratio of the power line channel is greater than 1, increasing the calculated comprehensive channel quality value Cqv;

[0102] When Esnr = Esnr ave , This part of the value is equal to 0, This part of the influence term of the signal-to-noise ratio of the power line channel is equal to 1. At this time, the signal-to-noise ratio Esnr of the power line channel will not affect the calculation of the comprehensive channel quality value Cqv;

[0103] When Esnr < Esnr ave , This part of the value is less than 0, This part of the influence term of the signal-to-noise ratio of the power line channel is less than 1, reducing the calculated comprehensive channel quality value Cqv;

[0104] Here, the logarithmic function is adopted to suppress the excessive influence of the signal-to-noise ratio Esnr of the power line channel on the comprehensive channel quality value Cqv when the value of Esnr is large, and at the same time, it can amplify the influence on the comprehensive channel quality value Cqv when the value of the signal-to-noise ratio Esnr of the power line channel is low:

[0105] This part scales the influence value of the noise power spectral density Nps by multiplying the noise power spectral density Nps by the wireless interference noise ratio Wdn and then dividing by the normalization constant 1000. The reciprocal of the sum of the scaled influence value and the non-zero constant 1 is used to quantify the combined interference intensity of the power line and the wireless channel. As the noise power spectral density Nps and the wireless interference noise ratio Wdn increase, the calculated comprehensive channel quality value Cqv decreases. Adding the constant 1 to the denominator of the fraction can avoid the situation where the denominator is zero, ensuring the rationality of the formula;

[0106] For the part Dcf + 1, the dual-mode communication fluctuation value Dcf calculated by the dual-mode communication fluctuation value algorithm unit is added with the non-zero constant 1 and used as the denominator in the formula calculation, which directly has an inverse impact on the calculation of the comprehensive channel quality value Cqv. As the dual-mode communication fluctuation value Dcf increases, it indicates that the fluctuation in the dual-mode communication is larger and the channel quality decreases, resulting in a decrease in the calculated comprehensive channel quality value Cqv;

[0107] In this embodiment, the comprehensive channel quality value algorithm unit comprehensively considers the power line channel signal-to-noise ratio Esnr, the noise power spectral density Nps, and the wireless interference noise ratio Wdn to calculate the comprehensive channel quality value Cqv, which can more comprehensively reflect the actual situation of the channel in the HPLC-HRF cooperative dual-mode data communication. By real-time monitoring the comprehensive channel quality value Cqv, the HPLC-HRF cooperative dual-mode communication data security protection system can timely detect changes in the channel quality and take corresponding measures to improve the communication security. When the comprehensive channel quality value Cqv is low, it indicates that the channel quality is poor, and the system will reduce the transmission rate to ensure stable signal transmission. When the comprehensive channel quality value Cqv is high, it indicates that the channel quality is good, and the system will increase the transmission rate to improve the efficiency of data communication. Specifically:

[0108] Set the security threshold Y1 to 0.3 and the danger threshold Y2 to 0.05 in the database, and compare the comprehensive channel quality value Cqv with the security threshold Y1 and the danger threshold Y2:

[0109] When Cqy > Y1, change the modulation level of the high-voltage power line carrier communication (HPLC) from the QPSK modulation level to the 16QAM modulation level to increase the transmission speed and continue the data communication of the smart meter centralized reading system;

[0110] When Y2 < Cqy < Y1, there is no need to change the modulation level of the high-voltage power line carrier communication (HPLC), and the QPSK modulation level is maintained;

[0111] When Cqy < Y2, change the modulation level of high-speed power line carrier communication (HPLC) from the QPSK modulation level to the BPSK modulation level, reduce the transmission speed, and improve the anti-interference ability during data communication of the intelligent meter reading system to enhance security.

[0112] In summary, the dual-mode communication data security protection system can take preventive measures before communication data is lost in the case of poor channel quality by real-time monitoring of the comprehensive channel quality value Cqv, effectively reducing the risk of data loss and enhancing the security of communication data.

[0113] And at the same time, perform the calculation of the parameter adjustment algorithm unit to dynamically adjust the parameter values of the analog communication fluctuation value algorithm unit.

[0114] Please refer to Figure 1 , the parameter adjustment algorithm unit is as follows:

[0115]

[0116] Where:

[0117] αnew represents the value of the communication fluctuation adjustment factor in the new round of calculation;

[0118] Cqv represents the comprehensive channel quality value;

[0119] Y2 represents the danger threshold, which is a set value of 0.05;

[0120] In the formula calculation:

[0121] The part of Y2 - Cqv represents the deviation value between the current comprehensive channel quality value Cqv and the danger threshold Y2, and after normalizing this part of the deviation value by the denominator Y2, the channel quality influence term is obtained;

[0122] The derivative of the exponential function e x is itself, and its curve has the characteristics of being continuous and without mutation. Taking this part of the channel quality influence term as the exponent part of the negative exponential function with e as the base to achieve a smooth transition of the dynamic communication fluctuation adjustment factor α;

[0123] In this embodiment:

[0124] In the HPLC-HRF dual-mode communication data security protection system for intelligent meter centralized reading, when the comprehensive channel quality value Cqv < Y2, it represents that the HPLC-HRF dual-mode communication system is in a dangerous state of high interference or unstable communication link. At this time, the parameter adjustment algorithm unit dynamically adjusts the communication fluctuation adjustment factor α in the dual-mode communication fluctuation value algorithm unit, and substitutes the adjusted αnew back into the dual-mode communication fluctuation value algorithm unit to calculate the dual-mode communication fluctuation value Dcf, which can dynamically suppress communication fluctuations and improve system stability. Specifically:

[0125] When the channel quality is extremely poor, the dual-mode communication data security protection system can adjust the value of the communication fluctuation adjustment factor α to reduce the dual-mode communication fluctuation value Dcf, which can avoid frequent mode switching or data retransmission triggered by over-relying on the current channel state, thus maintaining the stability of the communication link and further improving the security protection performance of the dual-mode communication data security protection system.

[0126] The dynamic feedback and adjustment in this algorithm enable the dual-mode communication data security protection system to adapt to different complex network environments and provide a controllable closed-loop framework for dual-mode communication data security protection.

[0127] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An HPLC-HRF collaborative dual-mode communication data security protection system, characterized in that, Including: A data collection module, which is used to collect network environment data during dual-mode communication. The collected network environment data includes communication delay Cd, packet loss rate Plr, number of dual-mode switches St, power line channel signal-to-noise ratio Esnr, noise power spectral density Nps, and wireless interference noise ratio Wdn; A data preprocessing module, which decodes and preprocesses the collected network environment data to obtain the parameters for the calculation and processing module; A calculation and processing module, including: A dual-mode communication fluctuation value algorithm unit, which is used to calculate the dual-mode communication fluctuation value Dcf based on the two real-time network environment factors of communication delay Cd and packet loss rate Plr and in combination with the number of dual-mode switches St, and dynamically change the two communication modes of HPLC-HRF according to the dual-mode communication fluctuation value Dcf; A channel quality comprehensive value algorithm unit, which is used to calculate the channel quality comprehensive value Cqv by taking the dual-mode communication fluctuation value Dcf as an input parameter and in combination with the noise impact items such as power line channel signal-to-noise ratio Esnr, noise power spectral density Nps, and wireless interference noise ratio Wdn, and adjust the HPLC modulation level according to the channel quality comprehensive value Cqv; A parameter adjustment algorithm unit, which is used to adjust the parameters in the dual-mode communication fluctuation value algorithm unit to reduce the dual-mode communication fluctuation value Dcf obtained in the next round of calculation, suppress communication fluctuations, and improve system stability.

2. The HPLC-HRF collaborative dual-mode communication data security protection system according to claim 1, wherein: The data collection of the network environment during dual-mode communication in the data collection module specifically includes: Monitoring and obtaining the number of dual-mode switches St through a dual-mode communication controller; Monitoring and obtaining the communication delay Cd and packet loss rate Plr through a network monitoring tool; Measuring and obtaining the power line channel signal-to-noise ratio Esnr and noise power spectral density Nps through a spectrum analyzer; Monitoring and obtaining the wireless interference noise ratio Wdn through a wireless receiver.

3. The HPLC-HRF collaborative dual-mode communication data security protection system according to claim 1, characterized in that: The adjustment of the HPLC modulation level in the channel quality comprehensive value algorithm unit specifically includes: Setting the safety threshold Y1 to 0.3 and the danger threshold Y2 to 0.05, and comparing the channel quality comprehensive value Cqv with the safety threshold Y1 and the danger threshold Y2: When Cqy > Y1, change the modulation level of the high-speed carrier communication on the low-voltage power line from the QPSK modulation level to the 16QAM modulation level to increase the transmission speed, and continue the data communication of the intelligent electricity meter centralized meter reading system; When Y2 < Cqy < Y1, maintain the QPSK modulation level and continue the data communication of the intelligent electricity meter centralized meter reading system; When Cqy < Y2, change the modulation level of the high-speed carrier communication on the low-voltage power line from the QPSK modulation level to the BPSK modulation level to reduce the transmission speed, and continue the data communication of the intelligent electricity meter centralized meter reading system to improve the anti-interference ability of the data communication during intelligent electricity meter centralized meter reading.

4. The HPLC-HRF collaborative dual-mode communication data security protection system according to claim 3, characterized in that: The parameter adjustment in the parameter adjustment algorithm unit specifically includes: When the comprehensive channel quality value Cqv < the danger threshold Y2, it represents that the HPLC-HRF dual-mode communication system is in a dangerous state of unstable communication link. The communication fluctuation adjustment factor α in the algorithm unit for calculating and adjusting the reduction of the dual-mode communication fluctuation value is calculated and adjusted through the parameter adjustment algorithm unit. In the calculation of the calculation processing module in the next hour, the adjusted communication fluctuation adjustment factor α is re-substituted into the dual-mode communication fluctuation value algorithm unit to calculate the dual-mode communication fluctuation value Dcf.

5. The HPLC-HRF collaborative dual-mode communication data security protection system according to claim 1, wherein: The calculation logic of the dual-mode communication fluctuation value algorithm unit includes: S11, quantifying the positive impact of frequent dual-mode switching on the dual-mode communication fluctuation value Dcf through a linear function, and quantifying the impact value of the dual-mode switching times St on the dual-mode communication fluctuation value Dcf to ±0.25, to avoid the excessive impact on the dual-mode communication fluctuation value Dcf when the value of the dual-mode switching times St is high; S12, reflecting the impact value of the communication delay Cd on the calculation of the dual-mode communication fluctuation value Dcf through an exponential function, to amplify the impact degree on the calculation of the dual-mode communication fluctuation value Dcf when the communication delay Cd increases; S13, quantifying the positive impact of the data packet loss rate on the dual-mode communication fluctuation value Dcf through a linear function.

6. The HPLC-HRF collaborative dual-mode communication data security protection system according to claim 1, characterized in that: The calculation logic of the comprehensive channel quality value algorithm unit includes: S21, suppressing the excessive impact on the comprehensive channel quality value Cqv when the signal-to-noise ratio Esnr of the power line channel is large through a logarithmic function, and amplifying the impact on the comprehensive channel quality value Cqv when the signal-to-noise ratio Esnr of the power line channel is low.

7. The HPLC-HRF collaborative dual-mode communication data security protection system according to claim 6, characterized in that: The calculation logic of the comprehensive channel quality value algorithm unit further includes: S22, reflecting the combined interference intensity of the power line and wireless channels through the noise power spectral density Nps and the wireless interference noise ratio Wdn, and quantifying the combined interference intensity into a numerical impact term and incorporating it into the calculation of the comprehensive channel quality value Cqv.

8. A HPLC-HRF collaborative dual-mode communication data security protection system according to claim 1, characterized in that, The calculation logic of the parameter adjustment algorithm unit includes: S31, dividing the result of subtracting the comprehensive channel quality value Cqv from the danger threshold Y2 by the danger threshold Y2 after normalization processing to obtain the channel quality impact term; S32. Use the obtained channel quality impact term as the exponent part of the negative exponential function with base e. Since the derivative of the exponential function e x is itself and its curve has the characteristics of continuity and no mutation, a smooth transition of the dynamic communication fluctuation adjustment factor α is achieved.

Citation Information

Patent Citations

  • Security protection system based on small wireless and power line broadband carrier dual-mode communication

    CN119232444A