HPLC and HRF multi-node ad hoc network type dual-mode communication system based on power system

Abstract

The invention discloses an HPLC and HRF multi-node ad hoc network type dual-mode communication system based on a power system, which comprises a concentrator communication module, an electric meter communication node module and a remote monitoring terminal, and is characterized in that the electric meter communication node module comprises a plurality of communication nodes, and a dual-mode communication module is embedded in each communication node; a power line carrier module and a micro-power wireless module are integrated in each dual-mode communication module. The invention relates to the technical field of electric power communication. According to the HPLC and HRF multi-node ad hoc network type dual-mode communication system based on the electric power system, a wireless routing beam pair with the strongest signal can be automatically predicted and selected to establish communication connection with an on-site maintenance mobile terminal, so that the transmitting power of a concentrator communication module is reduced, and the minimum power consumption of data information transmission is ensured; according to the invention, the purpose of enabling the on-site routing transmission to achieve the optimal power consumption by tracking and predicting the on-site mobile terminal in real time is achieved, so that the power communication resources are greatly saved.

Description

Technical Field

[0001] The present invention relates to the technical field of power communication, and specifically to a dual-mode communication system based on HPLC and HRF multi-node self-organizing network of a power system. Background Art

[0002] As an important part of the interaction between the intelligent power grid power system and power users, the power consumption information acquisition network is crucial for realizing the reliability of power data transmission by reasonably constructing the power consumption information acquisition network through advanced communication technologies. With the rapid development of the new power system and the energy Internet, the power consumption information acquisition network has higher and higher requirements for communication reliability. With the rapid development of the smart grid, the power system has an increasing demand for communication technologies. Although the traditional high-speed power line carrier (HPLC) technology can utilize the existing power lines for data transmission, in a complex power grid environment, the communication quality and stability are greatly limited. While the micro-power wireless (HRF) technology has a high transmission rate and flexibility, its coverage range and penetration ability are limited. Therefore, a single communication mode is difficult to meet the communication requirements of the power system for high reliability, high bandwidth, and wide coverage.

[0003] Referring to a self-organizing dual-mode communication system integrating HPLC and HRF with the Chinese patent publication number CN119341600A, through the adoption of communication modulation and signal equalization processing, the entire dual-mode communication is made more stable and reliable, achieving the purpose of ensuring the stability of the dual-mode communication and eliminating the interference caused by multipath effects, and optimizing the system performance, thereby avoiding the situation that the dual-mode communication system is affected by factors such as obstacle occlusion, signal attenuation, and being far from the base station in actual applications, resulting in a decline in communication quality, which is very beneficial to the popularization and use of the dual-mode communication.

[0004] Referring to the intelligent self-organizing communication system for multi-channel interactive information transmission and its working method with the Chinese patent publication number CN109495984A, by connecting multiple information transmission units through a communication processing unit, when the communication of the current information transmission unit is poor, it can be switched to other information transmission units, which can not only ensure the normal communication of the intelligent self-organizing communication system, but also improve the effectiveness and timeliness of information transmission by changing the information transmission channel, and has the characteristics of high performance, high bandwidth, and strong reliability.

[0005] By comprehensively analyzing the above reference patents, the following defects can be obtained:

[0006] 1) When the existing dual-mode communication system wirelessly transmits power data to a mobile terminal, since it cannot understand the location and status of the mobile terminal, it causes a large waste of routing power consumption. It cannot achieve establishing a communication connection with the on-site maintenance mobile terminal by automatically predicting and selecting the wireless routing beam pair with the strongest signal to reduce the transmission power of the concentrator communication module while ensuring that it meets the minimum power consumption for data information transmission. For example, in an integrated HPLC and HRF self-organizing dual-mode communication system of patent CN119341600A, it cannot achieve the purpose of enabling the on-site routing transmission to reach the optimal power consumption by real-time tracking and predicting the on-site mobile terminal, thus causing a large waste of resources for the use of mobile terminals by on-site maintenance personnel in the power system;

[0007] 2) During the communication mode switching process of the existing dual-mode communication system, due to incomplete and unreliable communication state evaluation, the switching is either too early or too late. Too early switching will lead to waste of resources, while too late switching will cause partial loss of data received by the entire dual-mode communication system. The intelligent self-organizing communication system for multi-channel interactive information transmission and its working method of patent CN109495984A cannot achieve accurate judgment of the communication mode by comprehensively and reliably analyzing and evaluating the signal-to-noise ratio and bit error rate, thus bringing great inconvenience to the communication work of the entire power system;

[0008] 3) The existing dual-mode communication system has complex networking, difficult node management, and low communication efficiency. It cannot achieve communicating with the concentrator by selecting the optimal communication node as the core communication node, and cannot achieve the purpose of optimal networking planning according to the actual working environment of each communication node, thus reducing the reliability and efficiency of power system communication. Summary of the Invention

[0009] (1) Technical Problems to be Solved

[0010] In view of the deficiencies of the prior art, the present invention provides a dual-mode communication system based on HPLC and HRF multi-node self-organizing network in the power system, which solves the problems that when the existing dual-mode communication system wirelessly transmits power data to a mobile terminal, due to not understanding the location and status of the mobile terminal, it causes a large waste of routing power consumption, and during the communication mode switching process of the existing dual-mode communication system, due to incomplete and unreliable communication state evaluation, the switching is either too early or too late. Too early switching will lead to waste of resources, while too late switching will cause partial loss of data received by the entire dual-mode communication system. At the same time, the existing dual-mode communication system has complex networking, difficult node management, and low communication efficiency, and cannot achieve communicating with the concentrator by selecting the optimal communication node as the core communication node.

[0011] (2) Technical Solutions

[0012] To achieve the above object, the present invention is realized by the following technical solutions: A dual-mode communication system based on HPLC and HRF multi-node self-organizing network in a power system, including a concentrator communication module, an electric meter communication node module, and a remote monitoring terminal. The electric meter communication node module includes several communication nodes, and each communication node is embedded with a dual-mode communication module. Each dual-mode communication module integrates a power line carrier module and a micro-power wireless module, and each communication node is equipped with a mode switching module for real-time monitoring of the communication quality of power line carrier communication and micro-power wireless communication, and automatically selecting the optimal communication mode according to a preset switching control algorithm.

[0013] Both the power line carrier module and the micro-power wireless module are used to receive and transmit data on the power line and wireless communication media and perform analysis and processing. The micro-power wireless module automatically establishes a communication link through a self-organizing network algorithm, enabling each communication node to dynamically adjust its communication mode and routing path according to the network topology and communication requirements to achieve optimal network coverage and load balancing. At the same time, the power line carrier module and the micro-power wireless module cooperate with the mode switching module to achieve network management and control.

[0014] There are several concentrator communication modules, which are used to receive data from the electric meter communication node module and send control signals to the smart electric meter module. The concentrator module also communicates wirelessly with the remote monitoring terminal. The concentrator communication module receives data from the electric meter communication node module through the uplink and sends control signals to the electric meter communication node module through the downlink. The remote monitoring terminal is one of a remote monitoring platform center or a on-site maintenance mobile terminal.

[0015] Preferably, when the remote monitoring terminal is a remote monitoring platform center, the concentrator communication module directly communicates wirelessly with the remote monitoring platform center through a 5G or 4G communication network.

[0016] Preferably, when the remote monitoring terminal is a on-site maintenance mobile terminal, the concentrator communication module communicates wirelessly with the on-site maintenance mobile terminal through a mobile communication module. The mobile communication module is based on the Kalman filtering algorithm and uses the received signal strength indication information RSSI of Bluetooth to calibrate the trajectory of the on-site maintenance mobile terminal predicted by the dead reckoning algorithm of the on-site maintenance mobile terminal, thereby reducing the cumulative error of the dead reckoning algorithm of the on-site maintenance mobile terminal and providing a more accurate position for tracking the on-site maintenance mobile terminal. Based on the position information prediction of the on-site maintenance mobile terminal, the signal-strongest wireless router beam pair is automatically selected to establish a communication connection with the on-site maintenance mobile terminal to reduce the transmission power of the concentrator communication module while ensuring that it meets the minimum power consumption for data information transmission.

[0017] Preferably, the processing process of the mobile communication module is specifically as follows:

[0018] S1. Set g as the acceleration due to gravity, and a x , a y , a z respectively represent the accelerations in the x-axis, y-axis, and z-axis directions. When the difference between the maximum acceleration a max and the minimum acceleration a min of a field maintenance mobile terminal exceeds the threshold value a within a certain period of time, and the time t max when the maximum acceleration a max occurs and the time difference from the time t min when the minimum acceleration occurs is greater than the set time threshold T, it is considered that the current field maintenance mobile terminal has moved;

[0019] S2. If the position of the field maintenance mobile terminal at time t:

[0020] L t = [x t , y t T ;

[0021] Its position at the next moment is predicted by a linear stochastic difference equation:

[0022] L t = L t-1 + u t + w t ;

[0023] where L t-1 represents the position of the user at the previous moment, u t represents the position change from the previous moment to the next moment, w t is Gaussian noise with a mean of 0, and its covariance matrix is Q t , and u t is calculated from the data collected by the field maintenance mobile terminal:

[0024]

[0025] where d t represents the distance that the field maintenance mobile terminal moves at time t, and θ t represents the steering angle at time t;

[0026] Let z t represent the coordinates obtained by comparing the Bluetooth fingerprint database at time t, then:

[0027]

[0028] The observation model is shown in the formula:​

[0029] z t = L t + v t ;

[0030] where v t represents the observation noise, which follows a zero-mean Gaussian distribution with covariance R t .

[0031] According to the dynamic model, the position of the on-site maintenance mobile terminal at the next moment:

[0032]

[0033] Its covariance

[0034]

[0035] where, P t-1 is the covariance matrix of , and the position at the next moment t is updated by the observation value z

[0036]

[0037] where K t is the Kalman gain, K t and the covariance matrix P of the predicted position t , and the update formula:

[0038]

[0039] S3. Based on the on-site maintenance mobile terminal position information obtained in step S2, only a very small part of the beam pairs are scanned among a large number of beam pairs, and the wireless router beam pair with the strongest signal is automatically predicted and selected to establish a communication connection with the on-site maintenance mobile terminal, so as to reduce the transmission power of the concentrator communication module while ensuring that it meets the minimum power consumption for data information transmission.

[0040] Preferably, the handover control algorithm specifically includes the following steps:

[0041] E1. Collect the signal voltage V 1 of the power line carrier module or the micro-power wireless module currently in use in the current communication node, 2 as well as the noise voltage V, and calculate the bit error rate BER;

[0042] E2. Calculate the signal-to-noise ratio based on the voltage data collected in step E1. The specific calculation formula is as follows:

[0043] SNR = 20 × log10 (V 1 / V 2 );

[0044] Among them, SNR is the signal-to-noise ratio, V 1 is the signal voltage of the current communication node, and V 2 is the noise voltage of the current communication node;

[0045] E3. Based on the signal-to-noise ratio SNR calculated in step E2 and the bit error rate BER calculated in step E1, perform a comprehensive calculation to obtain a transmission evaluation coefficient δ. The specific calculation formula is as follows:

[0046]

[0047] Among them, δ is the transmission evaluation coefficient, SNR is the signal-to-noise ratio of the current communication node, BER is the bit error rate of the current communication node, α is the weight of the signal-to-noise ratio, and β is the weight of the bit error rate;

[0048] E4. Compare the transmission evaluation coefficient δ calculated in step E3 with the preset handover evaluation index δ 标 ;

[0049] If δ < δ 标 , it means that the communication mode of the current communication node is stable in transmission and there is no need to switch the communication mode, and the system maintains the current communication mode;

[0050] If δ ≥ δ 标 , it means that the communication mode of the current communication node is unstable in transmission and a communication mode switch is required, and the system switches to another communication mode to operate.

[0051] Preferably, the value range of δ in step E4 is between 0 and 1. When the values of SNR and BER increase, the value of δ increases, indicating that the current communication mode is gradually deteriorating. If the values of SNR and BER decrease, the value of δ decreases, indicating that the current communication mode has good communication.

[0052] Preferably, in step E3, α + β = 1.

[0053] Preferably, in step E1, the bit error rate BER is calculated. The specific calculation formula is as follows:

[0054] BER = W 1 / W 总 ;

[0055] Among them, W 1 is the number of error code elements in one transmission process, and W 总 is the total number of code elements in one transmission process.

[0056] Preferably, the ad hoc network algorithm specifically includes the following steps:

[0057] P1. The current communication node performs system initialization. The current communication node will obtain the location information of adjacent communication nodes, establish communication connections with adjacent communication nodes, and share the data information collected by itself with adjacent communication nodes.

[0058] P2. Obtain the location information of the concentrator communication module. Randomly select a leader communication node from all communication nodes through the DPOS algorithm. The leader communication node will integrate the information shared by each communication node and wirelessly transmit the integrated shared information to the concentrator communication module.

[0059] P3. If the adjacent communication node connected by the current communication node drops the line or the communication connection is unstable, the current communication node automatically disconnects and re-executes step P1 to re-establish a communication connection with other adjacent communication nodes.

[0060] Preferably, when integrating each shared data information in step P2, the leader communication node will perform validity verification. The valid data information is the data information that has not existed at the current timestamp in the historical shared database if and only if it is included.

[0061] Preferably, the.

[0062] (3) Beneficial effects

[0063] The present invention provides a dual-mode communication system based on HPLC and HRF multi-node self-organizing network in a power system. Compared with the prior art, it has the following beneficial effects:

[0064] (1). The dual-mode communication system based on HPLC and HRF multi-node self-organizing network in a power system can realize establishing a communication connection with the on-site maintenance mobile terminal by automatically predicting and selecting the wireless routing beam pair with the strongest signal, so as to reduce the transmission power of the concentrator communication module while ensuring that it meets the minimum power consumption for data information transmission, and well avoid the situation of large waste of routing power consumption caused by not being able to understand the location and status of the mobile terminal, achieving the purpose of enabling the on-site routing transmission to reach the optimal power consumption by real-time tracking and predicting the on-site mobile terminal, thereby greatly saving power communication resources.

[0065] (2). The dual-mode communication system based on HPLC and HRF multi-node self-organizing network in a power system can realize accurate judgment of the communication mode by comprehensively and reliably analyzing and evaluating the signal-to-noise ratio and bit error rate, preventing the situation of premature or delayed handover due to incomplete and unreliable evaluation of the communication state. Premature handover will cause waste of resources, while delayed handover will cause partial loss of data received by the entire dual-mode communication system, thus greatly facilitating the communication work of the entire power system.

[0066] (3) The HPLC and HRF multi-node self-organizing network dual-mode communication system based on the power system can communicate with the concentrator by selecting the optimal communication node as the core communication node. The network formation is simple, node management is convenient, and the communication efficiency is high. It can well achieve the purpose of optimal network formation planning according to the actual working environment of each communication node, thereby greatly improving the reliability and efficiency of power system communication. Brief Description of the Drawings

[0067] Figure 1 is the architecture diagram of the system of the present invention;

[0068] Figure 2 is the flowchart of the handover control algorithm of the present invention;

[0069] Figure 3 is the flowchart of the self-organizing network algorithm of the present invention. Detailed Embodiment

[0070] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the 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. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0071] Please refer to Figures 1 - 3 , the embodiments of the present invention provide three technical solutions: the HPLC and HRF multi-node self-organizing network dual-mode communication system based on the power system, specifically including the following embodiments:

[0072] Embodiment 1: The HPLC and HRF multi-node self-organizing network dual-mode communication system based on the power system includes a concentrator communication module, a meter communication node module, and a remote monitoring terminal. The meter communication node module contains several communication nodes, and each communication node is embedded with a dual-mode communication module. Each dual-mode communication module integrates a power line carrier module and a micro-power wireless module, and each communication node is equipped with a mode switching module for real-time monitoring of the communication quality of power line carrier communication and micro-power wireless communication, and automatically selecting the optimal communication mode according to a preset handover control algorithm. When a communication mode fails or the quality deteriorates, the system can quickly switch to another mode to ensure the continuity of communication.

[0073] Both the power line carrier module and the micro-power wireless module are used to receive and transmit data on the power line and wireless communication media and perform analysis and processing. Moreover, the micro-power wireless module automatically establishes a communication link through a self-organizing network algorithm, enabling each communication node to dynamically adjust its communication mode and routing path according to the network topology and communication requirements to achieve optimal network coverage and load balancing. At the same time, the power line carrier module and the micro-power wireless module cooperate with the mode switching module to realize network management and control;

[0074] There are several concentrator communication modules, which are used to receive data from the meter communication node module and send control signals to the smart meter module. The concentrator module also communicates wirelessly with the remote monitoring terminal. At the same time, the concentrator communication module receives data from the meter communication node module through the uplink and sends control signals to the meter communication node module through the downlink. The remote monitoring terminal is one of the remote monitoring platform center or the on-site maintenance mobile terminal.

[0075] In an embodiment of the present invention, when the remote monitoring terminal is the remote monitoring platform center, the concentrator communication module directly communicates wirelessly with the remote monitoring platform center through a 5G or 4G communication network.

[0076] In an embodiment of the present invention, when the remote monitoring terminal is the on-site maintenance mobile terminal, the concentrator communication module communicates wirelessly with the on-site maintenance mobile terminal through a mobile communication module. And the mobile communication module is based on the Kalman filtering algorithm, and uses the received signal strength indication information RSSI of Bluetooth to calibrate the trajectory of the on-site maintenance mobile terminal predicted by the dead reckoning algorithm of the on-site maintenance mobile terminal, so as to reduce the cumulative error of the dead reckoning algorithm of the on-site maintenance mobile terminal and provide a more accurate position for tracking the on-site maintenance mobile terminal. Based on the position information prediction of the on-site maintenance mobile terminal, the wireless router beam pair with the strongest signal is automatically selected to establish a communication connection with the on-site maintenance mobile terminal, so as to reduce the transmission power of the concentrator communication module while ensuring that it meets the minimum power consumption for data information transmission.

[0077] In an embodiment of the present invention, the processing process of the mobile communication module is specifically as follows:

[0078] S1. Set g as the acceleration due to gravity, a x 、a y 、a z respectively represent the accelerations in the x-axis, y-axis, and z-axis directions. When the difference between the maximum acceleration a max and the minimum acceleration a min of an on-site maintenance mobile terminal within a period of time exceeds the threshold a, and the moment t max when the maximum acceleration a max occurs and the moment t when the minimum acceleration occursmin If the time difference is greater than the set time threshold T, it is considered that the current on-site maintenance mobile terminal has moved;

[0079] S2. Since there are cumulative errors in the trajectory prediction based on the PDR algorithm and the RSSI fingerprint data is vulnerable to environmental changes, this paper uses Kalman filtering to fuse the two data. Kalman filtering is an optimal estimation algorithm used to extract hidden state information from noisy observation data, and the specific principle is as follows.

[0080] If the position of the on-site maintenance mobile terminal at time t:

[0081] L t =[x t ,y t T ;

[0082] Its position at the next moment is predicted by a linear stochastic difference equation:

[0083] L t =L t-1 +u t +w t ;

[0084] where L t-1 represents the position of the user at the previous moment, u t represents the change in position from the previous moment to the next moment, w t is Gaussian noise with a mean of 0, and its covariance matrix is Q t , u t is calculated from the data collected by the on-site maintenance mobile terminal:

[0085]

[0086] where d t represents the distance that the on-site maintenance mobile terminal moves at time t, and θ t represents the steering angle at time t;

[0087] Let z t represent the coordinates obtained by comparing the Bluetooth fingerprint database at time t, then:

[0088]

[0089] The observation model is shown in the formula:

[0090] z t =L t +v t ;

[0091] where v t ​Denote the observation noise, which follows a zero-mean Gaussian distribution with covariance R t .

[0092] According to the dynamic model, maintain the position of the mobile terminal at the next moment on-site:

[0093]

[0094] Its covariance

[0095]

[0096] where P t-1 is the covariance matrix, and the position at the next moment is updated by the observation value z t , and the new position:

[0097]

[0098] where K t is the Kalman gain, K t and the covariance matrix P of the predicted position t , and the update formula:

[0099]

[0100] S3. Based on the position information of the on-site maintenance mobile terminal obtained in step S2, only scan a very small part of the beam pairs among a large number of beam pairs, and automatically predict and select the wireless router beam pair with the strongest signal to establish a communication connection with the on-site maintenance mobile terminal, so as to reduce the transmission power of the concentrator communication module while ensuring that it meets the minimum power consumption for data information transmission.

[0101] Embodiment 2: The technical solution of this embodiment of the present invention is different from that of Embodiment 1 in that: The handover control algorithm specifically includes the following steps:

[0102] E1. Collect the signal voltage V 1 of the power line carrier module or the micro-power wireless module that is currently in use in the current communication node, 2 as well as the noise voltage V

[0103]

[0104] SNR = 20×log 10 (V 1 / V 2 );

[0105]

[0105] where SNR is the signal-to-noise ratio, V1 is the signal voltage of the current communication node, V 2 is the noise voltage of the current communication node;

[0106] E3. Based on the signal-to-noise ratio SNR calculated in step E2 and the bit error rate BER calculated in step E1, perform a comprehensive calculation to obtain a transmission evaluation coefficient δ. The specific calculation formula is as follows:

[0107]

[0108] where δ is the transmission evaluation coefficient, SNR is the signal-to-noise ratio of the current communication node, BER is the bit error rate of the current communication node, α is the weight of the signal-to-noise ratio, and β is the weight of the bit error rate;

[0109] E4. Compare the transmission evaluation coefficient δ calculated in step E3 with the preset handover evaluation index δ 标 ;

[0110] If δ < δ 标 , it means that the communication mode of the current communication node is stable in transmission and there is no need to switch the communication mode, and the system maintains the current communication mode;

[0111] If δ ≥ δ 标 , it means that the communication mode of the current communication node is unstable in transmission and a communication mode switch is required, and the system switches to another communication mode for operation.

[0112] In the embodiment of the present invention, in step E4, the value range of δ is between 0 and 1. When the values of SNR and BER increase, the value of δ increases, indicating that the current communication mode is gradually deteriorating. If the values of SNR and BER decrease, the value of δ decreases, indicating that the current communication mode has good communication.

[0113] In the embodiment of the present invention, in step E3, α + β = 1.

[0114] In the embodiment of the present invention, in step E1, calculate the bit error rate BER. The specific calculation formula is as follows:

[0115] BER = W 1 / W 总 ;

[0116] where W 1 is the number of error code elements in one transmission process, and W 总 is the total number of code elements in one transmission process.

[0117] Embodiment 3: The technical solution of the embodiment of the present invention is different from that of Embodiment 2 in that the ad hoc network algorithm specifically includes the following steps:

[0118] P1. The current communication node performs system initialization. The current communication node obtains the location information of the adjacent communication nodes and establishes communication connections with the adjacent communication nodes, and shares the data information collected by itself with the adjacent communication nodes;

[0119] P2, obtain the location information of the concentrator communication module, and randomly select the leader communication node from all communication nodes through the DPOS algorithm. The leader communication node will integrate the information shared by each communication node and wirelessly transmit the integrated shared information to the concentrator communication module;

[0120] P3. If the adjacent communication node to which the current communication node is connected is offline or the communication connection is unstable, the current communication node automatically disconnects and re-executes step P1 to re-establish the communication connection with other adjacent communication nodes.

[0121] In the embodiment of the present invention, in step P2, the leader communication node performs validity verification when integrating each shared data information. Valid data information is data information if and only if it contains data information that does not exist at the current timestamp in the historical shared database.

[0122] System total power consumption application test analysis: A long-term test of 1 hour was conducted to compare the total power consumption of the system before and after power optimization. The experimental results are shown in Table 1. The total power consumption was reduced by about 20% before and after power optimization was enabled, achieving the design requirements of low-power networking.

[0123] Table 1 Total power consumption test results of the system running for 1h

[0124]

[0125] In summary, the present invention can achieve establishing a communication connection with a field maintenance mobile terminal by automatically predicting and selecting the wireless routing beam pair with the strongest signal, so as to reduce the transmission power of the concentrator communication module while ensuring that it meets the minimum power consumption for data information transmission, and well avoid the situation of large waste of routing power consumption caused by the inability to understand the position and status of the mobile terminal, achieving the purpose of enabling the on-site routing transmission to reach the optimal power consumption by real-time tracking and predicting the on-site mobile terminal, thereby greatly saving power communication resources. It can achieve accurate judgment of the communication mode by comprehensively and reliably analyzing and evaluating the signal-to-noise ratio and bit error rate, preventing the situation of premature or delayed handover caused by incomplete and unreliable communication state evaluation. Premature handover will lead to waste of resources, while delayed handover will cause loss of some received data in the entire dual-mode communication system, thus greatly facilitating the communication work of the entire power system. It can achieve communicating with the concentrator by selecting the optimal communication node as the core communication node, with simple networking, convenient node management, and high communication efficiency, well achieving the purpose of optimal networking planning according to the actual working environment of each communication node, thereby greatly improving the reliability and efficiency of power system communication.

[0126] Meanwhile, the content not detailedly described in this specification belongs to the prior art well-known to those skilled in the art.

[0127] It should be noted that, in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements not only includes those elements, but also includes other elements not expressly listed, or further includes elements inherent to such process, method, article or device.

[0128] 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 principle and spirit of the present invention, and the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. The HPLC and HRF multi-node self-organizing dual-mode communication system based on the power system is characterized by: It includes a concentrator communication module, an electric meter communication node module and a remote monitoring terminal. The electric meter communication node module includes a plurality of communication nodes, and each communication node is embedded with a dual-mode communication module. Each of the dual-mode communication modules integrates a power line carrier module and a micro-power wireless module, and each communication node is equipped with a mode switching module for real-time monitoring of the communication quality of the power line carrier communication and the micro-power wireless communication, and automatically selecting the optimal communication mode according to a preset switching control algorithm; The power line carrier module and the micro-power wireless module are both used to send and receive data on the power line and wireless communication media and perform analysis and processing, and the micro-power wireless modules automatically establish communication links through a self-organizing network algorithm, so that each communication node can dynamically adjust its own communication mode and routing path according to the network topology and communication requirements to achieve optimal coverage and load balancing of the network. At the same time, the power line carrier module and the micro-power wireless module cooperate with the mode switching module to achieve network management and control; There are several concentrator communication modules, which are used to receive data from the meter communication node module and send control signals to the smart meter module. The concentrator module also communicates wirelessly with the remote monitoring terminal. At the same time, the concentrator communication module receives the meter communication node module data through the uplink and sends control signals to the meter communication node module through the downlink. The remote monitoring terminal is a remote monitoring platform center or an on-site maintenance mobile terminal.

2. The HPLC and HRF multi-node ad hoc dual-mode communication system based on the power system according to claim 1 is characterized in that: When the remote monitoring terminal is the remote monitoring platform center, the concentrator communication module directly communicates wirelessly with the remote monitoring platform center through the 5G or 4G communication network.

3. The HPLC and HRF multi-node ad hoc dual-mode communication system based on the power system according to claim 1 is characterized in that: When the remote monitoring terminal is an on-site maintenance mobile terminal, the concentrator communication module communicates wirelessly with the on-site maintenance mobile terminal through the mobile communication module, and the mobile communication module calibrates the trajectory of the on-site maintenance mobile terminal predicted by the dead reckoning algorithm of the on-site maintenance mobile terminal based on the Kalman filter algorithm and using the received signal strength indication information RSSI of Bluetooth, thereby reducing the cumulative error of the dead reckoning algorithm of the on-site maintenance mobile terminal, providing more accurate tracking of the position of the on-site maintenance mobile terminal, and automatically selecting the wireless routing beam pair with the strongest signal based on the prediction of the position information of the on-site maintenance mobile terminal to establish a communication connection with the on-site maintenance mobile terminal, so as to reduce the transmission power of the concentrator communication module while ensuring that it meets the minimum power consumption for data information transmission.

4. The HPLC and HRF multi-node self-organizing dual-mode communication system based on the power system according to claim 3 is characterized in that: The processing process of the mobile communication module is as follows: S1. Setting g is the acceleration due to gravity, a is x 、a y 、a z They represent the accelerations in the x-axis, y-axis, and z-axis directions, respectively. When a field maintenance mobile terminal has a maximum acceleration of a within a period of time, max With the minimum acceleration a min The difference exceeds the threshold a, and the maximum acceleration a max The time t max The time t at which the minimum acceleration occurs min If the time difference is greater than the set time threshold T, it is considered that the current on-site maintenance mobile terminal has moved; S2. If the location of the on-site maintenance mobile terminal at time t: L t =[x t ,y t ] T ; Its position at the next moment is predicted using a linear stochastic difference equation: L t =L t-1 +and t +w t ; Where L t-1 Indicates the user's location at the last moment, u t Indicates the change in position from the previous moment to the next moment, w t is a Gaussian noise with a mean of 0, and its cosquare matrix is ​​Q t ,u t The data collected by the on-site maintenance mobile terminal is calculated as follows: where d t represents the distance moved by the on-site maintenance mobile terminal at time t, θ t represents the steering angle at time t; Let z t represents the coordinates obtained by comparing the Bluetooth fingerprint database at time t, then: The observation model is shown in the formula: from t =L t +v t ; where v t represents the observation noise, which follows the covariance R t A zero-mean Gaussian distribution. According to the dynamic model, the next moment position of the mobile terminal is maintained on site: Its covariance Among them, P t-1 yes The covariance matrix of the next moment From the observed value z t Update, new location: Where K t is the Kalman gain, K t and predicted location The covariance matrix P t , update formula: S3. Based on the location information of the on-site maintenance mobile terminal obtained in step S2, only a very small part of the beam pairs are scanned among a large number of beam pairs, and the wireless routing beam pair with the strongest signal is automatically predicted and selected to establish a communication connection with the on-site maintenance mobile terminal, so as to reduce the transmission power of the concentrator communication module while ensuring that it meets the minimum power consumption for data information transmission.

5. The HPLC and HRF multi-node ad hoc dual-mode communication system based on the power system according to claim 1 is characterized in that: The switching control algorithm specifically includes the following steps: E1, collect the signal voltage V1 and noise voltage V2 of the power line carrier module or micro-power wireless module currently in use in the communication node, and calculate the bit error rate BER; E2. Calculate the signal-to-noise ratio based on the voltage data collected in step E1. The specific calculation formula is as follows: SNR=20×log 10 (V1 / V2); Where SNR is the signal-to-noise ratio, V1 is the signal voltage of the current communication node, and V2 is the noise voltage of the current communication node; E3. According to the signal-to-noise ratio SNR calculated in step E2 and the bit error rate BER calculated in step E1, a comprehensive calculation is performed to obtain a transmission evaluation coefficient δ. The specific calculation formula is as follows: Among them, δ is the input evaluation coefficient, SNR is the signal-to-noise ratio of the current communication node, BER is the bit error rate of the current communication node, α is the weight of the signal-to-noise ratio, and β is the weight of the bit error rate; E4, compare the transmission evaluation coefficient δ calculated in step E3 with the preset switching evaluation index δ 标 Make comparisons; If δ<δ 标 When , it indicates that the communication mode transmission of the current communication node is stable, and there is no need to switch the communication mode. The system maintains the current communication mode operation; If δ ≥ δ 标 When , it means that the communication mode transmission of the current communication node is unstable and the communication mode needs to be switched. The system switches to another communication mode.

6. The HPLC and HRF multi-node ad hoc dual-mode communication system based on the power system according to claim 5 is characterized in that: The value range of δ in step E4 is between 0 and 1. When the values ​​of SNR and BER increase, the value of δ increases, indicating that the current communication mode is gradually getting worse. If the values ​​of SNR and BER decrease, the value of δ decreases, indicating that the current communication mode is communicating well.

7. The HPLC and HRF multi-node ad hoc dual-mode communication system based on the power system according to claim 5 is characterized in that: In the step E3, α+β=1.

8. The HPLC and HRF multi-node self-organizing dual-mode communication system based on the power system according to claim 5 is characterized in that: In step E1, the bit error rate BER is calculated, and the specific calculation formula is as follows: BER=W1 / W 总 ; Among them, W1 is the number of error code elements in one transmission process, W 总 is the total number of code elements in one transmission process.

9. The HPLC and HRF multi-node ad hoc dual-mode communication system based on the power system according to claim 1 is characterized in that: The self-organizing network algorithm specifically includes the following steps: P1. The current communication node performs system initialization. The current communication node obtains the location information of the adjacent communication nodes and establishes a communication connection with the adjacent communication nodes, and shares the data information collected by itself with the adjacent communication nodes; P2, obtain the location information of the concentrator communication module, and randomly select the leader communication node from all communication nodes through the DPOS algorithm. The leader communication node will integrate the information shared by each communication node and wirelessly transmit the integrated shared information to the concentrator communication module; P3. If the adjacent communication node to which the current communication node is connected is offline or the communication connection is unstable, the current communication node automatically disconnects and re-executes step P1 to re-establish the communication connection with other adjacent communication nodes.

10. The HPLC and HRF multi-node self-organizing dual-mode communication system based on the power system according to claim 9, characterized in that: In step P2, the leader communication node will perform validity verification when integrating each shared data information. Valid data information is data information that does not exist before the current timestamp in the historical shared database if and only if it is included.

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