Beidou short message communication transmission method applied to power field

Abstract

The invention discloses a Beidou short message communication transmission method applied to the electric power field, relates to the technical field of electric power communication, and aims to solve the technical problems that the current communication transmission technology cannot meet the communication transmission requirements of electric power equipment under extreme conditions and cannot ensure that key information is preferentially transmitted in an interfered environment under emergency conditions. Comprising the following steps: communication guarantee and short message communication in a non-signal area: installing a high-performance Beidou short message communication module for power equipment in the non-signal area such as a mountainous area and a depopulated area, monitoring the running state of the equipment in real time through the high-performance Beidou short message communication module, and periodically sending parameter information to a monitoring center; according to the method, communication guarantee is provided for the power equipment in the non-signal area by taking the power equipment as a relay node, short message transmission is optimized after a natural disaster occurs and in a special scene, smooth communication is guaranteed, and priority transmission of key information in an interfered environment is guaranteed in an emergency.

Description

Technical Field

[0001] The present invention relates to the field of power communication technology, and more specifically, to a Beidou short message communication transmission method applied in the power field. Background Art

[0002] In the power sector, stable and reliable communications play a vital role in the safe and stable operation of the power grid. In areas without signals, such as mountainous areas, the communication of power equipment faces great challenges. At the same time, after natural disasters such as earthquakes, floods, typhoons, and mudslides, the buried power equipment not only has to withstand the interference caused by various natural disasters, but also may undertake key power supply and emergency command tasks when disasters occur. Effective communication transmission must be guaranteed to enable timely rescue and recovery work.

[0003] At present, the existing communication transmission technology has limitations in special scenarios and cannot meet the communication needs of power equipment in extreme situations. Since most power equipment is buried underground, the electromagnetic interference caused by natural disasters will greatly hinder the smooth communication, thereby affecting the transmission of key information and resource allocation. In an emergency, it is impossible to ensure the priority transmission of key information in an interfered environment. In view of this, we propose a Beidou short message communication transmission method applied to the power field. Summary of the invention

[0004] The purpose of the present invention is to provide a Beidou short message communication transmission method applied to the power field, so as to solve the technical problem that the current communication transmission technology cannot meet the communication transmission needs of power equipment under extreme conditions, and cannot ensure the priority transmission of key information in an interfered environment in an emergency.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions: a Beidou short message communication transmission method applied in the electric power field, comprising the following steps:

[0006] S1. Communication guarantee in no-signal areas;

[0007] S101, short message communication;

[0008] Install high-performance Beidou short message communication modules for power equipment in mountainous areas, uninhabited areas and other areas without signals. Use high-performance Beidou short message communication modules to monitor the equipment operation status in real time and send parameter information to the monitoring center regularly;

[0009] Data transmission formula: Assume that the device operation status parameter set is: S = {s1, s2, ..., s n}, where s n Indicates the value of the nth parameter. The transmitted data can be expressed as: D = {t, S}, where t represents the timestamp;

[0010] The transmission rate of the Beidou short message communication module is R, and the transmission time is: Where |D| represents the size of data D;

[0011] Considering the signal interference α and attenuation factor β, the interference coefficient and attenuation coefficient are introduced;

[0012] Then the actual transmission rate: R' = R × (1 + α) × (1 - β);

[0013] Actual transfer time:

[0014] S102, power communication multi-path transmission;

[0015] Adopt multi-path transmission technology to establish multiple different transmission paths. The same information is sent through different paths at the same time. Even if one path is disturbed or interrupted, there are still other paths to ensure information transmission, which greatly increases the probability of information reaching the monitoring center. At the same time, the use of advanced data compression algorithms can reduce the amount of transmitted data, improve transmission efficiency, and reduce communication costs.

[0016] S103. Establish an intelligent monitoring and feedback system;

[0017] The communication module monitors the signal strength and quality in real time and feeds back the information to the monitoring center. The monitoring center adjusts the communication parameters and strategies based on the feedback to ensure stable and efficient communication. If the signal strength in a certain area is found to be weak, the communication module transmission power can be adjusted or the transmission path can be changed.

[0018] Signal strength adjustment formula: Let signal strength be S, transmission power be P, distance be d, environmental factor influence coefficient be k, and then introduce terrain complexity factor τ and meteorological interference factor ω, then: S = f(P, d, k, τ, ω); determine the specific function relationship f through data analysis, so as to adjust the transmission power and transmission path according to the signal strength;

[0019] S2. Communication support after natural disasters;

[0020] S201, relay node automatic switching;

[0021] After a natural disaster occurs, the buried power equipment automatically switches to relay node mode, receives signals from other equipment through its own Beidou short message communication module, and forwards them to the monitoring center. The relay node can expand the signal coverage and improve communication reliability.

[0022] S202, adaptive power control;

[0023] Adaptive power control technology is used to ensure the reliability of relay nodes. According to signal strength, distance and environmental factors, the transmission power of relay nodes is automatically adjusted. When the signal is weak or the distance is far, the power is increased to ensure stable transmission. When the signal is strong or the distance is short, the power is reduced to save energy and reduce interference.

[0024] Transmit power adjustment formula: Assume the target signal strength is S t , the current signal strength is S c , the distance is d, the environmental factor influence coefficient is k, and then consider the disaster intensity factor ρ and the equipment damage degree factor σ;

[0025] Transmit power adjustment ΔP = g(S t ,S c ,d,k,ρ,σ), determine the function relationship g through model training to automatically adjust the transmission power;

[0026] S203, anti-interference processing;

[0027] In response to the interference environment caused by natural disasters, a variety of anti-interference technologies are used. First, the signal is encrypted to prevent the information from being illegally stolen or tampered with. A high-intensity encryption algorithm is used to ensure communication security. Secondly, filtering technology is used to remove noise and interference in the signal, and the quality is improved by screening and filtering signals of different frequencies. Finally, error correction technology is used to detect and correct errors in the transmission process, and redundant information is added so that the receiving end can detect and correct errors, thereby improving communication reliability.

[0028] S3, transmission optimization in special scenarios;

[0029] S301, Transmission optimization in earthquake-prone environments;

[0030] In an earthquake environment, the ground shakes violently and signal transmission is greatly interfered with. By using frequency agility technology, the communication module automatically adjusts the signal transmission frequency according to the change of ground vibration frequency, and selects the transmission frequency that avoids the interference frequency to ensure stable signal transmission. At the same time, the propagation characteristics of seismic waves are used to detect the propagation direction and intensity of seismic waves and determine the best signal transmission path. If the propagation speed and direction of seismic waves in different media are different, the path can be selected accordingly to improve transmission efficiency;

[0031] S302, Transmission optimization for flood-prone environments;

[0032] In a flood environment, rising water levels may submerge power equipment. A waterproof Beidou short message communication module is used and installed at a high place on the equipment to ensure normal communication in a flood environment. At the same time, the reflection characteristics of the water surface are used to adjust the signal transmission angle and power. The transmission angle is set reasonably so that the signal can use water surface reflection to increase the transmission distance and reliability. The transmission angle and power are automatically adjusted according to water level changes to adapt to different flood environments.

[0033] S303, transmission optimization in typhoon-prone environments;

[0034] In a typhoon environment, strong winds can easily interfere with signal transmission. The Beidou short message communication module, which is designed to be windproof, is installed in a stable position on the equipment to ensure normal communication in a typhoon environment. The signal transmission direction and power are adjusted using typhoon wind direction and speed information. The wind direction and speed are monitored in real time to select the appropriate transmission direction and power to improve transmission efficiency and reliability. When the wind direction is opposite to the signal transmission direction, the transmission power can be appropriately increased to overcome the influence of wind.

[0035] Transmit power adjustment formula: Let the angle between wind direction and signal transmission direction be θ ω , wind speed is v ω , the transmission power is P, and considering the typhoon intensity factor π and the equipment wind resistance factor σ', then:

[0036] P = k(θ ω ,v ω ,π,σ′)P0;

[0037] Where P0 is the initial transmission power, k(θ ω ,v ω ,π,σ') is the adjustment coefficient determined according to the wind direction and wind speed, and the transmission power is adjusted according to the wind direction and wind speed by determining the functional relationship;

[0038] S304, Transmission optimization in environments prone to debris flow and landslide;

[0039] In the environment of debris flow and landslide, the terrain changes greatly and signal transmission is easily blocked. Multi-path transmission technology is used to find different transmission paths to ensure that the signal bypasses obstacles to reach the destination. Terrain sensors are used to monitor terrain changes in real time and determine the best transmission path according to the location and movement direction of obstacles. At the same time, signal enhancement technology is used to increase the strength and power of the signal when it passes through obstacles, improve penetration ability, and ensure smooth transmission;

[0040] S4, rely on Beidou's communication resource allocation;

[0041] S401, reasonable allocation of resources;

[0042] In the case of transmitting a large number of short messages, the Beidou system is used to reasonably allocate communication resources. The high-precision positioning and time synchronization functions of Beidou are used to prioritize power equipment in different areas. Communication resources are reasonably allocated according to the importance of the equipment, its geographical location and communication needs, ensuring that the communication of key equipment is prioritized.

[0043] Resource allocation formula: Let the importance weight of the equipment be ω i , the geographical location weight is ωg , the communication demand weight is ω d , and then introduce the equipment status factor λ' and the emergency degree factor μ', then the comprehensive weight of the equipment is: W = ω i +ω g +ω d +λ'+μ', communication resources are allocated according to the comprehensive weight W. The higher the weight, the more resources are allocated to the device;

[0044] S402, establishing an artificial intelligence model;

[0045] Introduce artificial intelligence models to analyze and predict communication data. By learning from historical communication data, artificial intelligence models can predict communication traffic and demand in different time periods and prepare for communication resource allocation in advance. If natural disasters occur frequently, increase the allocation of communication resources to the disaster-stricken areas to meet emergency rescue communication needs;

[0046] The artificial intelligence prediction model can use machine learning algorithms to establish a prediction model for communication traffic and demand. Suppose the input feature vector is X = {X1, X2, ..., X n}, the output is the communication flow or demand y;

[0047] Then introduce the external factor influence vector Z = {z1,z2,...,z m}, then the prediction value is As close to the true value as possible;

[0048] S403, transmission path redundancy processing;

[0049] Cooperate with power equipment for redundant design, generate multi-path short message transmission paths, set up multiple Beidou short message communication modules in power equipment, or combine with other communication means to form a redundant communication system. When a transmission path fails, it automatically switches to other paths to ensure communication continuity;

[0050] S5, path selection strategy and path evaluation model optimization;

[0051] S501, short message splitting strategy;

[0052] When facing the situation of short message transmission congestion, the short message splitting strategy is adopted to split the short message to be transmitted into multiple data packets and mark each data packet with a unique identifier. Suppose the short message size is M and the size of the split data packet is m. i (i=1,2,...,n), such that:

[0053]

[0054] The identifier of each data packet can be generated by a digital sequence, a timestamp, etc. to ensure uniqueness. Considering the importance difference factor η' and the priority factor θ' of the data packet, the size of the data packet can be adjusted to:

[0055] m′ i =m′ i ×(1+η)×(1+θ);

[0056] S502, relay node multipath transmission;

[0057] Rely on several paths with relay nodes to send these data packets synchronously, take advantage of multi-path transmission, and send data packets through different paths at the same time to improve transmission efficiency;

[0058] S503, checking the missing status of data packets;

[0059] After receiving the data packets, the receiver checks the data packets according to the marks on them to determine whether there are any missing data packets. If missing data packets are found, the receiver can request the sender to resend the missing data packets until all data packets are received correctly.

[0060] Assume that the set of data packets received by the receiver is R = {r1, r2, ..., r k}(k≤n), by comparing the identifiers of the data packets, the set of missing data packets is determined to be L={l1,l2,...,l n-k};

[0061] The sender resends the missing data packets according to the request until all the data packets are included in R. Considering the success rate factor π' of data packet transmission and the retransmission limit factor σ", when the receiver receives a data packet, if the number of consecutive retransmissions exceeds σ", it is considered that the data packet cannot be received and the transmission strategy is adjusted;

[0062] S504, path evaluation model;

[0063] Establish a path evaluation model to evaluate different transmission paths, taking into account factors such as signal strength, transmission delay, reliability, and path congestion. Give each factor a corresponding weight and comprehensively calculate the evaluation value of each path.

[0064] Let the evaluation value of the path be V j , the signal strength weight is ω s , the transmission delay weight is ω d , the reliability weight is ω r , the path congestion weight is ω c , then introduce the signal stability factor ω", the delay change rate factor δ", the reliability fluctuation factor ∈" and the congestion change trend factor ζ", the signal strength of the path is S j, the transmission delay is T j , reliability is P j , the path congestion level is C j ,but:

[0065] V j =ω s S j ×(1+ω″)+ω d T j ×(1+δ″)+ω r P j ×(1+∈″)+ω c C j ×(1+ζ″);

[0066] By adjusting the weight value and considering several factors, the path with the highest evaluation value is selected as the optimal transmission path according to the actual situation;

[0067] S6, data decompression and recovery optimization;

[0068] S601, intelligent decompression algorithm selection;

[0069] By accurately identifying the compression identifier and parameter information, the system can intelligently select the most suitable decompression algorithm. If the data packet is compressed using a lossless compression algorithm based on dictionary encoding, the system will automatically select the corresponding dictionary decoding algorithm during decompression to ensure the accuracy and efficiency of the decompression process.

[0070] Let the compression mark be C ID , different compression algorithms correspond to different C ID When the receiving end receives the data packet, it first reads it and then selects the corresponding decompression algorithm D according to the preset mapping relationship. alg , if C ID =1 indicates dictionary coding compression, then the corresponding decompression algorithm D alg =D dict ;

[0071] S602, parallel decompression processing;

[0072] Adopt parallel processing technology to improve the decompression speed, distribute multiple received data packets to different processing units, and perform decompression operations at the same time, so as to greatly shorten the decompression time and improve the efficiency of data recovery;

[0073] Assume the number of received packets is N packets , the number of processing units is N units″ Distribute the data packets evenly to each processing unit, that is, the number of data packets processed by each processing unit is N packets / N units,During parallel processing, each processing unit performs decompression operations independently without interfering with each other;

[0074] S603, data integrity check;

[0075] During the decompression process, multiple data integrity checks are performed, using the same verification method as the compression process, and also introducing secondary verification of CRC cyclic redundancy check and hash value comparison verification. Through the combination of multiple verification methods, it is ensured that the recovered data is completely consistent with the original data;

[0076] S604, error handling and retransmission mechanism optimization;

[0077] If data loss or damage is found during the decompression process, the system immediately starts the optimized error handling and retransmission mechanism, determines the specific erroneous data packet based on the verification result, and sends a request to the sender to resend the data packet containing the missing content. After receiving the retransmission request, the sender will resend the data packet. At the same time, in order to avoid frequent retransmission requests from burdening the network, if a data packet is retransmitted too many times, the system will take emergency measures to recover the lost data by requesting an alternative data source or starting a data recovery algorithm.

[0078] The present invention uses a high-performance Beidou short message communication module, multi-path transmission, automatic switching of relay nodes, adaptive power control and anti-interference technology. After the power equipment is buried, it automatically switches to a relay node module, so that the relay node is used as a transit of the short message transmission path, thereby expanding the coverage of the signal. The communication reliability is further enhanced in conjunction with communication resource allocation and redundant design, and the communication of key equipment is prioritized. When a certain transmission path fails, it can automatically switch to other paths to ensure continuous communication. In combination with adaptive power control technology, the relay node transmission power is automatically adjusted according to signal strength, distance and environmental factors, ensuring stable transmission under different conditions. Therefore, it can be used as communication for power equipment in a signal-free area before a natural disaster occurs. After a natural disaster occurs, it relies on the remaining power equipment to improve the efficiency and coverage of short message transmission, ensure smooth communication, and enable key information to be smoothly transmitted through Beidou short message communication. In an emergency, priority transmission of key information in an interfered environment is ensured.

[0079] Preferably, the S102 power communication multi-path transmission further includes the following steps:

[0080] S102a, multi-path transmission reliability;

[0081] Assume there are m transmission paths, and the reliability of each path is: p i (0≤p i ≤1), considering the mutual interference factors between paths: γ ij(i,j=1,2,...,m,i≠j), then the reliability of the entire multipath transmission system is:

[0082]

[0083] S102b, data compression;

[0084] Assume the original data size is D, the compressed data size is D0, and the compression ratio is In order to further improve the compression efficiency, considering the repetitiveness and correlation of the data, the repetition factor δ and the correlation coefficient ∈ are introduced, and the compressed data size is:

[0085] D′ c =D c ×(1-δ)×(1-∈);

[0086] New compression ratio:

[0087] Preferably, the anti-interference processing in S203 further includes the following steps:

[0088] S203a, encryption;

[0089] AES high-strength encryption algorithm is used to encrypt data to ensure information security. In order to enhance encryption strength, dynamic key factors and random number generators are introduced to make the encryption process more complex and difficult to crack.

[0090] S203b, filtering;

[0091] Assume the input signal is S i , the output signal after the filter is S o , the filter function is F, and considering the change rate of the interference frequency λ and the dynamic characteristic factor μ of the signal, then S o =F(S i ,λ,μ), remove the noise and interference in the signal by designing the filter function F;

[0092] S203c, error correction code;

[0093] Assume the data to be sent is D s , the data after error correction coding is D e , the error correction coding function is E, and then the error type identification factor ξ and the error correction priority factor are introduced but:

[0094] Assume that the data received by the receiving end is D r , the data after error correction decoding is D d , the error correction decoding function is D, and then the error type identification factor ξ and the error correction priority factor are introduced but Improve the reliability of communication by designing appropriate error correction coding and decoding functions.

[0095] Preferably, the transmission optimization in the earthquake-prone environment S301 further comprises the following steps:

[0096] S301a, frequency agility analysis;

[0097] Let the ground vibration frequency be f v , the interference frequency range is [f l ,f h ], the signal transmission frequency is f s , and then consider the earthquake intensity factor ψ and the geological structure influence factor but The functional relationship h is determined through simulation so as to select the appropriate transmission frequency according to the ground vibration frequency;

[0098] S301b, determine the seismic wave propagation path;

[0099] Assume that the propagation speed of seismic waves in medium i is v i , the propagation direction is θ i , the device position is (x,y,z), the target position is (x t ,y t ,z t ), the best transmission path can be determined by solving the path with the shortest propagation time. The propagation time is:

[0100]

[0101] Among them, d i is the propagation distance in medium i;

[0102] Considering the medium change factor κ and path stability factor χ caused by earthquake, the new propagation time is:

[0103]

[0104] Find the path that minimizes T' through optimization algorithm;

[0105] Where is the propagation distance in the medium. Considering the medium change factor and path stability factor caused by earthquake, the new propagation time is solved by the optimization algorithm to minimize the path.

[0106] Preferably, the transmission optimization in flood-prone environment in S302 further includes the following steps:

[0107] S302a, water surface reflection analysis;

[0108] Let the emission angle be θ t, the receiving angle is θ r , the water surface reflection coefficient is r, and considering the water level change rate factor l and the water flow velocity factor θ, the received signal strength is: S r =rS t cos(θ r -θ t )×(1+l)×(1+θ);

[0109] Among them, S t To increase the signal strength, adjust the transmission angle to maximize the received signal strength.

[0110] S302b, adjusting the emission angle;

[0111] Let the water level be h, the equipment height be H, and the launch angle be θ t ,but:

[0112]

[0113] Where d is the horizontal distance between the device and the target, and the launch angle is automatically adjusted according to the water level change.

[0114] Preferably, the transmission optimization in the environment prone to debris flow and landslide in S304 further comprises the following steps:

[0115] S304a, multi-path transmission reliability analysis;

[0116] The same formula for multipath transmission reliability in the communication guarantee in the no-signal area is used. Considering the terrain change speed factor ρ' and the obstacle stability factor τ', the reliability of the multipath transmission system is:

[0117]

[0118] S304b, signal enhancement analysis;

[0119] Assume that the signal strength before passing through the obstacle is S1, the signal strength after passing through the obstacle is S2, and the enhancement coefficient is a. Considering the obstacle material influence factor ω' and the signal frequency characteristic factor δ', then: S2 = (1+a)×(1+ω')×(1+δ')S1, the enhancement coefficient is determined according to the characteristics of the obstacle to improve the signal penetration ability.

[0120] Preferably, the transmission path redundancy processing in S403 further includes the following steps:

[0121] S403a, path fault detection and prediction;

[0122] Use artificial intelligence models to detect and predict transmission path faults, monitor signal quality, equipment status and other parameters in real time, promptly identify potential faults and take preventive measures, and quickly switch to backup transmission paths after a fault occurs to ensure stable communications;

[0123] S403b, redundant system reliability analysis;

[0124] The same formula for multi-path transmission reliability in the signal-free area communication guarantee is used. The transmission path is replaced by different communication modules or communication means in the redundant communication system. Considering the switching time factor ξ' and stability factor ζ' of the redundant system, the reliability of the redundant system is:

[0125]

[0126] Where n is the number of modules or means in the redundant communication system.

[0127] Preferably, the S603 data integrity check further includes the following steps:

[0128] S603a, preliminary verification;

[0129] First, perform the same verification as the compression process, assuming that the verification code generated during compression is C checksum , after decompression, recalculate the checksum to D checksum , if C checksum =D checksum , then the data integrity is preliminarily considered to be good, otherwise, the data is considered to be incomplete;

[0130] S603b, secondary verification;

[0131] Then, perform a secondary CRC cyclic redundancy check, assuming that the CRC check code added during compression is C CRC , the CRC checksum recalculated after decompression is D CRC , if C CRC =D CRC , then the confirmation of data integrity is further enhanced, otherwise, the data is considered incomplete;

[0132] S603c, comparison and verification;

[0133] Finally, perform a hash value comparison check and set the hash value of the original data to H original , the hash value of the decompressed data is H decompressed , if H original =H decompressed , it can be determined that the data recovery is completely correct, otherwise, the data is considered incomplete.

[0134] Preferably, the S604 error handling and retransmission mechanism optimization further includes the following steps:

[0135] S604a, sending a missing content resend request;

[0136] If data loss or damage is found during the decompression process, the system will immediately start the optimized error handling and retransmission mechanism. First, the system will determine the specific error data packet based on the verification result and send a request to the sender to resend the data packet containing the missing content;

[0137] S604b, resending missing content data packets;

[0138] Let the set of identifiers of error packets be E packets , the system will send a message containing E to the sender packets After receiving the retransmission request message, the sender will resend the data packet. During the retransmission process, the system will give priority to processing erroneous data packets to ensure that they can be correctly received as soon as possible.

[0139] S604c, retransmission emergency measures;

[0140] At the same time, in order to avoid frequent retransmission requests from burdening the network, the system will set a retransmission threshold Q. If the retransmission number of a data packet exceeds the threshold Q, the system will take emergency measures to recover the lost data by requesting an alternative data source or starting a data recovery algorithm.

[0141] A Beidou short message communication system, comprising a no-signal area communication guarantee unit for providing communication for power equipment in a no-signal area, a post-natural disaster communication guarantee unit connected to the no-signal area communication guarantee unit for guaranteeing communication in the area after a natural disaster occurs, a special scenario transmission optimization unit connected to the post-natural disaster communication guarantee unit for guaranteeing short message transmission efficiency in a post-natural disaster scenario, a communication resource allocation unit connected to the special scenario transmission optimization unit for reasonably allocating communication resources in the case of a large number of short message transmissions, a path selection strategy optimization unit connected to the communication resource allocation unit for optimizing the short message transmission path, and a data decompression recovery optimization unit connected to the path selection strategy optimization unit for decompressing and checking data after receiving it;

[0142] The no-signal area communication guarantee unit includes a short message communication module arranged in the power equipment, a power communication multi-path transmission module for establishing multiple different transmission paths, and an intelligent monitoring and feedback system for real-time monitoring of signal strength and quality, wherein the short message communication module is connected to the power communication multi-path transmission module, and the power communication multi-path transmission module is electrically connected to the intelligent monitoring and feedback system;

[0143] The post-natural disaster communication guarantee unit includes a relay node automatic switching module for switching the short message transmission purpose after a natural disaster occurs, an adaptive power control module for ensuring stable transmission of relay nodes, and an anti-interference processing module for reducing the influence of the interference environment caused by natural disasters on the short message transmission, the relay node automatic switching module is electrically connected to the adaptive power control module, and the adaptive power control module is connected to the anti-interference processing module;

[0144] The special scenario transmission optimization unit includes an earthquake-prone environment transmission optimization module for performing transmission optimization for an earthquake-prone environment, a flood-prone environment transmission optimization module for performing transmission optimization for a flood-prone environment, a typhoon-prone environment transmission optimization module for performing transmission optimization for a typhoon-prone environment, and a terrain-change-prone environment transmission optimization module for performing transmission optimization for an environment prone to terrain changes;

[0145] The communication resource allocation unit includes a resource reasonable allocation module that relies on the Beidou system to reasonably allocate communication resources, an artificial intelligence model that allocates communication resources by analyzing and predicting communication data, and a transmission path redundancy processing module that cooperates with power equipment to perform redundant design to generate a multi-path short message transmission path. The resource reasonable allocation module is electrically connected to the artificial intelligence model, and the artificial intelligence model is electrically connected to the transmission path redundancy processing module;

[0146] The path selection strategy optimization unit includes a short message splitting strategy module for splitting a short message to be transmitted into a plurality of data packets, a relay node multi-path transmission module for synchronously sending data packets by relying on a plurality of relay node paths, a data packet missing condition detection module for checking missing data packets after receiving the data packets, and a path evaluation model for evaluating different transmission paths in combination with the data packet transmission conditions, wherein the short message splitting strategy module, the relay node multi-path transmission module and the data packet missing condition detection module are all electrically connected to the path evaluation model;

[0147] The data decompression and recovery optimization unit includes an intelligent decompression algorithm selection module for selecting a decompression algorithm based on a compression algorithm, a parallel decompression processing module for improving the decompression speed of a data packet, a data integrity verification module for performing data integrity detection on the decompressed data packet, and an error handling and retransmission mechanism optimization module for retransmitting incomplete data packets. The intelligent decompression algorithm selection module, the parallel decompression processing module, and the data integrity verification module are all electrically connected to the error handling and retransmission mechanism optimization module.

[0148] Compared with the prior art, the present invention has the following beneficial effects:

[0149] 1. The present invention uses a high-performance Beidou short message communication module, multi-path transmission, automatic switching of relay nodes, adaptive power control and anti-interference technology. After the power equipment is buried, it automatically switches to a relay node module, so that the relay node is used as a transit of the short message transmission path, thereby expanding the coverage of the signal, and further enhancing the reliability of communication in conjunction with communication resource allocation and redundant design. The communication of key equipment is prioritized and guaranteed. When a certain transmission path fails, it can automatically switch to other paths to ensure continuous communication. In combination with adaptive power control technology, the relay node transmission power is automatically adjusted according to signal strength, distance and environmental factors, ensuring stable transmission under different conditions. Therefore, when natural disasters do not occur, it can be used as a communication for power equipment in a signal-free area. After a natural disaster occurs, it relies on the remaining power equipment to improve the efficiency and coverage of short message transmission, ensure smooth communication, and enable key information to be transmitted smoothly through Beidou short message communication. In an emergency, priority transmission of key information in an interfered environment is ensured.

[0150] 2. The present invention makes targeted optimization strategies in different scenarios, and helps to improve signal transmission efficiency by frequency agility in earthquake environments, water surface reflection utilization in flood environments, wind direction and speed adjustment in typhoon environments, and determining the best transmission path in debris flow and landslide environments. It greatly improves the communication efficiency of short message transmission after natural disasters, and covers signal-free areas, after natural disasters, and earthquake, flood, typhoon, debris flow and landslide scenarios, and provides corresponding optimization strategies for different scenarios, which can adapt to various complex environmental conditions in the power field and provide effective solutions for power equipment communication in different scenarios;

[0151] 3. The present invention can send information through different paths at the same time through multi-path transmission technology, thereby accelerating the information transmission speed, especially when transmitting a large number of short messages. The data compression algorithm reduces the amount of transmitted data and reduces communication costs. The data packet splitting strategy splits the short message into multiple data packets and transmits them through multi-path when the short message transmission is congested. In combination with the missing detection and retransmission mechanism at the receiving end, the transmission efficiency is improved.

[0152] 4. The present invention ensures the security of data packets during transmission by encrypting and decrypting data packets, adopting a high-strength key generation algorithm and a secure transmission channel, and prevents information from being illegally stolen or tampered with. The AES high-strength encryption algorithm is used during the communication process, and a dynamic key factor and a random number generator are introduced to make the entire communication more secure and reliable.

[0153] 5. The present invention adopts redundant design so that the system can be combined with multiple Beidou short message communication modules or other communication means to facilitate the expansion of communication coverage and capacity. The standardized algorithms and protocols are used to ensure the compatibility of the system with other devices and systems, and it is easy to integrate with the existing power communication infrastructure. BRIEF DESCRIPTION OF THE DRAWINGS

[0154] Figure 1 It is an overall schematic block diagram of the present invention;

[0155] Figure 2 This is a schematic block diagram of the structure of a transmission optimization unit for a special scenario in the present invention;

[0156] Figure 3 This is a schematic block diagram of the structure of the path selection strategy optimization unit in the present invention;

[0157] Figure 4 This is a schematic block diagram of the data decompression and recovery optimization unit structure in the present invention. DETAILED DESCRIPTION

[0158] Embodiment 1:

[0159] The present invention relates to a Beidou short message communication transmission method applied in the electric power field, comprising the following steps:

[0160] S1. Communication guarantee in no-signal areas;

[0161] S101, short message communication;

[0162] Install high-performance Beidou short message communication modules for power equipment in mountainous areas, uninhabited areas and other areas without signals. Use high-performance Beidou short message communication modules to monitor the equipment operation status in real time and send parameter information to the monitoring center regularly;

[0163] Data transmission formula: Assume that the device operation status parameter set is: S = {s1, s2, ..., s n}, where s n Indicates the value of the nth parameter. The transmitted data can be expressed as: D = {t, S}, where t represents the timestamp;

[0164] The transmission rate of the Beidou short message communication module is R, and the transmission time is: Where |D| represents the size of data D;

[0165] Considering the signal interference α and attenuation factor β, the interference coefficient and attenuation coefficient are introduced;

[0166] Then the actual transmission rate: R' = R × (1 + α) × (1 - β);

[0167] Actual transfer time:

[0168] S102, power communication multi-path transmission;

[0169] Adopt multi-path transmission technology to establish multiple different transmission paths. The same information is sent through different paths at the same time. Even if one path is disturbed or interrupted, there are still other paths to ensure information transmission, which greatly increases the probability of information reaching the monitoring center. At the same time, the use of advanced data compression algorithms can reduce the amount of transmitted data, improve transmission efficiency, and reduce communication costs.

[0170] S102a, multi-path transmission reliability;

[0171] Assume there are m transmission paths, and the reliability of each path is: p i (0≤p i ≤1), considering the mutual interference factors between paths: γ ij (i,j=1,2,...,m,i≠j), then the reliability of the entire multipath transmission system is:

[0172]

[0173] S102b, data compression;

[0174] Assume the original data size is D, the compressed data size is D0, and the compression ratio is In order to further improve the compression efficiency, considering the repetitiveness and correlation of the data, the repetition factor δ and the correlation coefficient ∈ are introduced, and the compressed data size is:

[0175] D′ c =D c ×(1-δ)×(1-∈);

[0176] New compression ratio:

[0177] S103. Establish an intelligent monitoring and feedback system;

[0178] The communication module monitors the signal strength and quality in real time and feeds back the information to the monitoring center. The monitoring center adjusts the communication parameters and strategies based on the feedback to ensure stable and efficient communication. If the signal strength in a certain area is found to be weak, the communication module transmission power can be adjusted or the transmission path can be changed.

[0179] Signal strength adjustment formula: Let signal strength be S, transmission power be P, distance be d, environmental factor influence coefficient be k, and then introduce terrain complexity factor τ and meteorological interference factor ω, then: S = f(P, d, k, τ, ω); determine the specific function relationship f through data analysis, so as to adjust the transmission power and transmission path according to the signal strength;

[0180] S2. Communication support after natural disasters;

[0181] S201, relay node automatic switching;

[0182] After a natural disaster occurs, the buried power equipment automatically switches to relay node mode, receives signals from other equipment through its own Beidou short message communication module, and forwards them to the monitoring center. The relay node can expand the signal coverage and improve communication reliability.

[0183] S202, adaptive power control;

[0184] Adaptive power control technology is used to ensure the reliability of relay nodes. According to signal strength, distance and environmental factors, the transmission power of relay nodes is automatically adjusted. When the signal is weak or the distance is far, the power is increased to ensure stable transmission. When the signal is strong or the distance is short, the power is reduced to save energy and reduce interference.

[0185] Transmit power adjustment formula: Assume the target signal strength is S t , the current signal strength is S c , the distance is d, the environmental factor influence coefficient is k, and then consider the disaster intensity factor ρ and the equipment damage degree factor σ;

[0186] Transmit power adjustment ΔP = g(S t ,S c ,d,k,ρ,σ), determine the function relationship g through model training to automatically adjust the transmission power;

[0187] S203, anti-interference processing;

[0188] In response to the interference environment caused by natural disasters, a variety of anti-interference technologies are used. First, the signal is encrypted to prevent the information from being illegally stolen or tampered with. A high-intensity encryption algorithm is used to ensure communication security. Secondly, filtering technology is used to remove noise and interference in the signal, and the quality is improved by screening and filtering signals of different frequencies. Finally, error correction technology is used to detect and correct errors in the transmission process, and redundant information is added so that the receiving end can detect and correct errors, thereby improving communication reliability.

[0189] S203a, encryption;

[0190] AES high-strength encryption algorithm is used to encrypt data to ensure information security. In order to enhance encryption strength, dynamic key factors and random number generators are introduced to make the encryption process more complex and difficult to crack.

[0191] S203b, filtering;

[0192] Assume the input signal is S i , the output signal after the filter is S o, the filter function is F, and considering the change rate of the interference frequency λ and the dynamic characteristic factor μ of the signal, then S o =F(S i ,λ,μ), remove the noise and interference in the signal by designing the filter function F;

[0193] S203c, error correction code;

[0194] Assume the data to be sent is D s , the data after error correction coding is D e , the error correction coding function is E, and then the error type identification factor ξ and the error correction priority factor are introduced but:

[0195] Assume that the data received by the receiving end is D r , the data after error correction decoding is D d , the error correction decoding function is D, and then the error type identification factor ξ and the error correction priority factor are introduced but Improve the reliability of communication by designing appropriate error correction coding and decoding functions;

[0196] The present invention uses a high-performance Beidou short message communication module, multi-path transmission, automatic switching of relay nodes, adaptive power control and anti-interference technology. After the power equipment is buried, it automatically switches to a relay node module, so that the relay node is used as a transit of the short message transmission path, thereby expanding the coverage of the signal. The communication reliability is further enhanced in conjunction with communication resource allocation and redundant design, and the communication of key equipment is prioritized. When a certain transmission path fails, it can automatically switch to other paths to ensure continuous communication. In combination with adaptive power control technology, the relay node transmission power is automatically adjusted according to signal strength, distance and environmental factors, ensuring stable transmission under different conditions. Therefore, it can be used as communication for power equipment in a signal-free area before a natural disaster occurs. After a natural disaster occurs, it relies on the remaining power equipment to improve the efficiency and coverage of short message transmission, ensure smooth communication, and enable key information to be smoothly transmitted through Beidou short message communication. In an emergency, priority transmission of key information in an interfered environment is ensured.

[0197] S3, transmission optimization in special scenarios;

[0198] S301, Transmission optimization in earthquake-prone environments;

[0199] In an earthquake environment, the ground shakes violently and signal transmission is greatly interfered with. By using frequency agility technology, the communication module automatically adjusts the signal transmission frequency according to the change of ground vibration frequency, and selects the transmission frequency that avoids the interference frequency to ensure stable signal transmission. At the same time, the propagation characteristics of seismic waves are used to detect the propagation direction and intensity of seismic waves and determine the best signal transmission path. If the propagation speed and direction of seismic waves in different media are different, the path can be selected accordingly to improve transmission efficiency;

[0200] S301a, frequency agility analysis;

[0201] Let the ground vibration frequency be f v , the interference frequency range is [f l ,f h ], the signal transmission frequency is f s , and then consider the earthquake intensity factor ψ and the geological structure influence factor but The functional relationship h is determined through simulation so as to select the appropriate transmission frequency according to the ground vibration frequency;

[0202] S301b, determine the seismic wave propagation path;

[0203] Assume that the propagation speed of seismic waves in medium i is v i , the propagation direction is θ i , the device position is (x,y,z), the target position is (x t ,y t ,z t ), the best transmission path can be determined by solving the path with the shortest propagation time. The propagation time is:

[0204]

[0205] Among them, d i is the propagation distance in medium i;

[0206] Considering the medium change factor κ and path stability factor χ caused by earthquake, the new propagation time is:

[0207]

[0208] Find the path that minimizes T' through optimization algorithm;

[0209] Where is the propagation distance in the medium, considering the medium change factor and path stability factor caused by earthquake, the new propagation time is solved by the optimization algorithm to minimize the path;

[0210] S302, Transmission optimization for flood-prone environments;

[0211] In a flood environment, rising water levels may submerge power equipment. A waterproof Beidou short message communication module is used and installed at a high place on the equipment to ensure normal communication in a flood environment. At the same time, the reflection characteristics of the water surface are used to adjust the signal transmission angle and power. The transmission angle is set reasonably so that the signal can use water surface reflection to increase the transmission distance and reliability. The transmission angle and power are automatically adjusted according to water level changes to adapt to different flood environments.

[0212] S302a, water surface reflection analysis;

[0213] Let the emission angle be θ t , the receiving angle is θ r , the water surface reflection coefficient is r, and considering the water level change rate factor ι and the water flow velocity factor θ, the received signal strength is: S r =rS t cos(θ r -θ t )×(1+ι)×(1+θ);

[0214] Among them, S t To increase the signal strength, adjust the transmission angle to maximize the received signal strength.

[0215] S302b, adjusting the emission angle;

[0216] Let the water level be h, the equipment height be H, and the launch angle be θ t ,but:

[0217]

[0218] Where d is the horizontal distance between the device and the target, and the launch angle is automatically adjusted according to the water level change;

[0219] S303, transmission optimization in typhoon-prone environments;

[0220] In a typhoon environment, strong winds can easily interfere with signal transmission. The Beidou short message communication module, which is designed to be windproof, is installed in a stable position on the equipment to ensure normal communication in a typhoon environment. The signal transmission direction and power are adjusted using typhoon wind direction and speed information. The wind direction and speed are monitored in real time to select the appropriate transmission direction and power to improve transmission efficiency and reliability. When the wind direction is opposite to the signal transmission direction, the transmission power can be appropriately increased to overcome the influence of wind.

[0221] Transmit power adjustment formula: Let the angle between wind direction and signal transmission direction be θ ω , wind speed is v ω , the transmission power is P, and considering the typhoon intensity factor π and the equipment wind resistance factor σ', then:

[0222] P = k(θ ω,v ω ,π,σ′)P0;

[0223] Where P0 is the initial transmission power, κ(θ ω ,v ω ,π,σ') is the adjustment coefficient determined according to the wind direction and wind speed, and the transmission power is adjusted according to the wind direction and wind speed by determining the functional relationship;

[0224] S304, Transmission optimization in environments prone to debris flow and landslide;

[0225] In the environment of debris flow and landslide, the terrain changes greatly and signal transmission is easily blocked. Multi-path transmission technology is used to find different transmission paths to ensure that the signal bypasses obstacles to reach the destination. Terrain sensors are used to monitor terrain changes in real time and determine the best transmission path according to the location and movement direction of obstacles. At the same time, signal enhancement technology is used to increase the strength and power of the signal when it passes through obstacles, improve penetration ability, and ensure smooth transmission;

[0226] S304a, multi-path transmission reliability analysis;

[0227] The same formula for multipath transmission reliability in the communication guarantee in the no-signal area is used. Considering the terrain change speed factor ρ' and the obstacle stability factor τ', the reliability of the multipath transmission system is:

[0228]

[0229] S304b, signal enhancement analysis;

[0230] Assume that the signal strength before passing through the obstacle is S1, the signal strength after passing through the obstacle is S2, and the enhancement coefficient is a. Considering the obstacle material influence factor ω' and the signal frequency characteristic factor δ', then: S2 = (1+a)×(1+ω')×(1+δ')S1, the enhancement coefficient is determined according to the characteristics of the obstacle to improve the signal penetration ability.

[0231] The present invention makes targeted optimization strategies in different scenarios, and helps to improve signal transmission efficiency by frequency agility in earthquake environments, water surface reflection utilization in flood environments, wind direction and wind speed adjustment in typhoon environments, and determining the best transmission path in debris flow and landslide environments. It greatly improves the communication efficiency of short message transmission after natural disasters, and covers signal-free areas, after natural disasters, and earthquake, flood, typhoon, debris flow and landslide scenarios, and provides corresponding optimization strategies for different scenarios, which can adapt to various complex environmental conditions in the power field and provide effective solutions for power equipment communication in different scenarios.

[0232] S4, rely on Beidou's communication resource allocation;

[0233] S401, reasonable allocation of resources;

[0234] In the case of transmitting a large number of short messages, the Beidou system is used to reasonably allocate communication resources. The high-precision positioning and time synchronization functions of Beidou are used to prioritize power equipment in different areas. Communication resources are reasonably allocated according to the importance of the equipment, its geographical location and communication needs, ensuring that the communication of key equipment is prioritized.

[0235] Resource allocation formula: Let the importance weight of the equipment be ω i , the geographical location weight is ω g , the communication demand weight is ω d , and then introduce the equipment status factor λ' and the emergency degree factor μ', then the comprehensive weight of the equipment is: W = ω i +ω g +ω d +λ'+μ', communication resources are allocated according to the comprehensive weight W. The higher the weight, the more resources are allocated to the device;

[0236] S402, establishing an artificial intelligence model;

[0237] Introduce artificial intelligence models to analyze and predict communication data. By learning from historical communication data, artificial intelligence models can predict communication traffic and demand in different time periods and prepare for communication resource allocation in advance. If natural disasters occur frequently, increase the allocation of communication resources to the disaster-stricken areas to meet emergency rescue communication needs;

[0238] The artificial intelligence prediction model can use machine learning algorithms to establish a prediction model for communication traffic and demand. Suppose the input feature vector is X = {X1, X2, ..., X n}, the output is the communication flow or demand y;

[0239] Then introduce the external factor influence vector Z = {z1,z2,...,z m}, then the prediction value is As close to the true value as possible;

[0240] S403, transmission path redundancy processing;

[0241] Cooperate with power equipment for redundant design, generate multi-path short message transmission paths, set up multiple Beidou short message communication modules in power equipment, or combine with other communication means to form a redundant communication system. When a transmission path fails, it automatically switches to other paths to ensure communication continuity;

[0242] S403a, path fault detection and prediction;

[0243] Use artificial intelligence models to detect and predict transmission path faults, monitor signal quality, equipment status and other parameters in real time, promptly identify potential faults and take preventive measures, and quickly switch to backup transmission paths after a fault occurs to ensure stable communications;

[0244] S403b, redundant system reliability analysis;

[0245] The same formula for multi-path transmission reliability in the signal-free area communication guarantee is used. The transmission path is replaced by different communication modules or communication means in the redundant communication system. Considering the switching time factor ξ' and stability factor ζ' of the redundant system, the reliability of the redundant system is:

[0246]

[0247] Where n is the number of modules or means in the redundant communication system;

[0248] Through redundant design, the present invention enables the system to be combined with multiple Beidou short message communication modules or other communication means to facilitate the expansion of communication coverage and capacity. The use of standardized algorithms and protocols ensures the compatibility of the system with other devices and systems, and is easy to integrate with existing power communication infrastructure.

[0249] S5, path selection strategy and path evaluation model optimization;

[0250] S501, short message splitting strategy;

[0251] When facing the situation of short message transmission congestion, the short message splitting strategy is adopted to split the short message to be transmitted into multiple data packets and mark each data packet with a unique identifier. Suppose the short message size is M and the size of the split data packet is m. i (i=1,2,...,n), such that:

[0252]

[0253] The identifier of each data packet can be generated by a digital sequence, a timestamp, etc. to ensure uniqueness. Considering the importance difference factor η' and the priority factor θ' of the data packet, the size of the data packet can be adjusted to:

[0254] m′ i =m i ×(1+η′)×(1+θ′);

[0255] S502, relay node multipath transmission;

[0256] Rely on several paths with relay nodes to send these data packets synchronously, take advantage of multi-path transmission, and send data packets through different paths at the same time to improve transmission efficiency;

[0257] S503, checking the missing status of data packets;

[0258] After receiving the data packets, the receiver checks the data packets according to the marks on them to determine whether there are any missing data packets. If missing data packets are found, the receiver can request the sender to resend the missing data packets until all data packets are received correctly.

[0259] Assume that the set of data packets received by the receiver is R = {r1, r2, ..., r k}(k≤n), by comparing the identifiers of the data packets, the set of missing data packets is determined to be L={l1,l2,...,l n-k};

[0260] The sender resends the missing data packets according to the request until all the data packets are included in R. Considering the success rate factor π' of data packet transmission and the retransmission limit factor σ", when the receiver receives a data packet, if the number of consecutive retransmissions exceeds σ", it is considered that the data packet cannot be received and the transmission strategy is adjusted;

[0261] S504, path evaluation model;

[0262] Establish a path evaluation model to evaluate different transmission paths, taking into account factors such as signal strength, transmission delay, reliability, and path congestion. Give each factor a corresponding weight and comprehensively calculate the evaluation value of each path.

[0263] Let the evaluation value of the path be V j , the signal strength weight is ω s , the transmission delay weight is ω d , the reliability weight is ω r , the path congestion weight is ω c , then introduce the signal stability factor ω", the delay change rate factor δ", the reliability fluctuation factor ∈" and the congestion change trend factor ζ", the signal strength of the path is S j , the transmission delay is T j , reliability is P j , the path congestion level is C j ,but:

[0264] V j =ω s S j ×(1+ω″)+ω d T j ×(1+δ″)+δ r P j ×(1+∈″)+ω c C j ×(1+ζ″);

[0265] By adjusting the weight value and considering several factors, the path with the highest evaluation value is selected as the optimal transmission path according to the actual situation;

[0266] The present invention can send information through different paths at the same time through multi-path transmission technology, thereby accelerating the information transmission speed, especially when transmitting a large number of short messages. The data compression algorithm reduces the amount of transmitted data and reduces communication costs. The data packet splitting strategy splits the short message into multiple data packets and transmits them through multi-path when the short message transmission is crowded. In combination with the missing detection and retransmission mechanism at the receiving end, the transmission efficiency is improved.

[0267] S6, data decompression and recovery optimization;

[0268] S601, intelligent decompression algorithm selection;

[0269] By accurately identifying the compression identifier and parameter information, the system can intelligently select the most suitable decompression algorithm. If the data packet is compressed using a lossless compression algorithm based on dictionary encoding, the system will automatically select the corresponding dictionary decoding algorithm during decompression to ensure the accuracy and efficiency of the decompression process.

[0270] Let the compression mark be C ID , different compression algorithms correspond to different C ID When the receiving end receives the data packet, it first reads it and then selects the corresponding decompression algorithm D according to the preset mapping relationship. alg , if C ID =1 indicates dictionary coding compression, then the corresponding decompression algorithm D alg =D dict ;

[0271] S602, parallel decompression processing;

[0272] Adopt parallel processing technology to improve the decompression speed, distribute multiple received data packets to different processing units, and perform decompression operations at the same time, so as to greatly shorten the decompression time and improve the efficiency of data recovery;

[0273] Assume the number of received packets is N packets , the number of processing units is N units″ Distribute the data packets evenly to each processing unit, that is, the number of data packets processed by each processing unit is N packets / N units ,During parallel processing, each processing unit performs decompression operations independently without interfering with each other;

[0274] S603, data integrity check;

[0275] During the decompression process, multiple data integrity checks are performed, using the same verification method as the compression process, and also introducing secondary verification of CRC cyclic redundancy check and hash value comparison verification. Through the combination of multiple verification methods, it is ensured that the recovered data is completely consistent with the original data;

[0276] S603a, preliminary verification;

[0277] First, perform the same verification as the compression process, assuming that the verification code generated during compression is C checksum , after decompression, recalculate the checksum to D checksum , if C checksum =D checksum , then the data integrity is preliminarily considered to be good, otherwise, the data is considered to be incomplete;

[0278] S603b, secondary verification;

[0279] Then, perform a secondary CRC cyclic redundancy check, assuming that the CRC check code added during compression is C CRC , the CRC checksum recalculated after decompression is D CRC , if C CRC =D CRC , then the confirmation of data integrity is further enhanced, otherwise, the data is considered incomplete;

[0280] S603c, comparison and verification;

[0281] Finally, perform a hash value comparison check and set the hash value of the original data to H original , the hash value of the decompressed data is H decompressed , if H original =H decompressed , it can be determined that the data recovery is completely correct, otherwise, the data is considered incomplete.

[0282] S604, error handling and retransmission mechanism optimization;

[0283] If data loss or damage is found during the decompression process, the system immediately starts the optimized error handling and retransmission mechanism, determines the specific error data packet based on the verification result, and sends a request to the sender to resend the data packet containing the missing content. After receiving the retransmission request, the sender will resend the data packet. At the same time, in order to avoid frequent retransmission requests from burdening the network, if a data packet is retransmitted too many times, the system will take emergency measures to recover the lost data by requesting an alternative data source or starting a data recovery algorithm.

[0284] S604a, sending a missing content resend request;

[0285] If data loss or damage is found during the decompression process, the system will immediately start the optimized error handling and retransmission mechanism. First, the system will determine the specific error data packet based on the verification result and send a request to the sender to resend the data packet containing the missing content;

[0286] S604b, resending missing content data packets;

[0287] Let the set of identifiers of error packets be E packets , the system will send a message containing E to the sender packets After receiving the retransmission request message, the sender will resend the data packet. During the retransmission process, the system will give priority to processing erroneous data packets to ensure that they can be correctly received as soon as possible.

[0288] S604c, retransmission emergency measures;

[0289] At the same time, in order to avoid frequent retransmission requests from burdening the network, the system will set a retransmission threshold Q. If the retransmission number of a data packet exceeds the threshold Q, the system will take emergency measures to recover the lost data by requesting an alternative data source or starting a data recovery algorithm.

[0290] The present invention ensures the security of data packets during transmission by encrypting and decrypting data packets, adopting a high-strength key generation algorithm and a secure transmission channel, and prevents information from being illegally stolen or tampered with. The AES high-strength encryption algorithm is used in the communication process and a dynamic key factor and a random number generator are introduced to make the entire communication more secure and reliable.

[0291] Embodiment 2:

[0292] like Figures 1 to 4 As shown, a Beidou short message communication system includes a no-signal area communication guarantee unit for providing communication for power equipment in no-signal areas, a post-natural disaster communication guarantee unit connected to the no-signal area communication guarantee unit for ensuring communication in the area after a natural disaster occurs, a special scenario transmission optimization unit connected to the post-natural disaster communication guarantee unit for ensuring short message transmission efficiency in the scene after a natural disaster occurs, a communication resource allocation unit connected to the special scenario transmission optimization unit for reasonably allocating communication resources under the condition of a large number of short message transmissions, a path selection strategy optimization unit connected to the communication resource allocation unit for optimizing the short message transmission path, and a data decompression and recovery optimization unit connected to the path selection strategy optimization unit for decompressing and checking after receiving data. The Beidou short message communication system is composed of multiple units, aiming to provide communication guarantee for power equipment in no-signal areas, and optimize short message transmission after a natural disaster occurs and in special scenarios. The system improves the transmission efficiency and reliability of short messages in different scenarios through the synergistic effect of multiple units;

[0293] As another embodiment of the present invention, the no-signal area communication guarantee unit includes a short message communication module arranged in the power equipment, a power communication multipath transmission module for establishing multiple different transmission paths, and an intelligent monitoring and feedback system for real-time monitoring of signal strength and quality, the short message communication module is connected to the power communication multipath transmission module, and the power communication multipath transmission module and the intelligent monitoring and feedback system are electrically connected, the no-signal area communication guarantee unit includes a short message communication module, a power communication multipath transmission module and an intelligent monitoring and feedback system, which can establish multiple transmission paths and monitor signals in real time;

[0294] As another embodiment of the present invention, the post-natural disaster communication guarantee unit includes a relay node automatic switching module for switching the short message transmission purpose after a natural disaster occurs, an adaptive power control module for ensuring stable transmission of relay nodes, and an anti-interference processing module for reducing the impact of the interference environment caused by natural disasters on short message transmission. The relay node automatic switching module is electrically connected to the adaptive power control module, and the adaptive power control module is connected to the anti-interference processing module. The post-natural disaster communication guarantee unit has a relay node automatic switching module, an adaptive power control module and an anti-interference processing module to ensure communication continuity, stable transmission and reduce interference effects;

[0295] As another embodiment of the present invention, the special scenario transmission optimization unit includes an earthquake-prone environment transmission optimization module for performing transmission optimization for an earthquake-prone environment, a flood-prone environment transmission optimization module for performing transmission optimization for a flood-prone environment, a typhoon-prone environment transmission optimization module for performing transmission optimization for a typhoon-prone environment, and a terrain-change-prone environment transmission optimization module for performing transmission optimization for an environment prone to terrain changes. The special scenario transmission optimization unit performs transmission optimization for environments prone to earthquakes, floods, typhoons, terrain changes, and the like;

[0296] As another embodiment of the present invention, the communication resource allocation unit includes a resource reasonable allocation module that relies on the Beidou system to reasonably allocate communication resources, an artificial intelligence model that allocates communication resources by analyzing and predicting communication data, and a transmission path redundancy processing module that cooperates with power equipment to perform redundant design to generate a multi-path short message transmission path. The resource reasonable allocation module is electrically connected to the artificial intelligence model, and the artificial intelligence model is electrically connected to the transmission path redundancy processing module. The communication resource allocation unit relies on the Beidou system, the artificial intelligence model and the transmission path redundancy processing module to reasonably allocate resources;

[0297] As another embodiment of the present invention, the path selection strategy optimization unit includes a short message splitting strategy module for splitting a short message to be transmitted into several data packets, a relay node multipath transmission module for synchronously sending data packets by relying on several relay node paths, a data packet missing condition detection module for checking missing data packets after receiving the data packets, and a path evaluation model for evaluating different transmission paths in combination with the data packet transmission conditions. The short message splitting strategy module, the relay node multipath transmission module and the data packet missing condition detection module are all electrically connected to the path evaluation model. The path selection strategy optimization unit optimizes the transmission path through short message splitting, relay node multipath transmission, data packet missing detection and path evaluation.

[0298] As another embodiment of the present invention, the data decompression and recovery optimization unit includes an intelligent decompression algorithm selection module that selects a decompression algorithm based on a compression algorithm, a parallel decompression processing module that improves the decompression speed of data packets, a data integrity verification module for performing data integrity detection on decompressed data packets, and an error handling and retransmission mechanism optimization module for retransmitting incomplete data packets. The intelligent decompression algorithm selection module, the parallel decompression processing module, and the data integrity verification module are all electrically connected to the error handling and retransmission mechanism optimization module. The data decompression and recovery optimization unit includes intelligent decompression algorithm selection, parallel decompression processing, data integrity verification, and error handling and retransmission mechanism optimization modules to ensure data integrity.

[0299] The embodiments of the present invention disclose preferred embodiments, but are not limited thereto. A person skilled in the art can easily understand the spirit of the present invention based on the above embodiments and make different extensions and changes. However, as long as they do not deviate from the spirit of the present invention, they are all within the protection scope of the present invention.

Claims

1. A Beidou short message communication transmission method applied in the electric power field, characterized in that: The following steps are involved: S1. Communication guarantee in no-signal areas; S101, short message communication; Install high-performance Beidou short message communication modules for power equipment in mountainous areas, uninhabited areas and other areas without signals. Use high-performance Beidou short message communication modules to monitor the equipment operation status in real time and send parameter information to the monitoring center regularly; Data transmission formula: Assume that the device operation status parameter set is: S = {s1, s2, ..., s n }, where s n Indicates the value of the nth parameter. The transmitted data can be expressed as: D = {t, S}, where t represents the timestamp; The transmission rate of the Beidou short message communication module is R, and the transmission time is: Where |D| represents the size of data D; Considering the signal interference α and attenuation factor β, the interference coefficient and attenuation coefficient are introduced; Then the actual transmission rate: R' = R × (1 + α) × (1 - β); Actual transfer time: S102, power communication multi-path transmission; Adopt multi-path transmission technology to establish multiple different transmission paths. The same information is sent through different paths at the same time. Even if one path is disturbed or interrupted, there are still other paths to ensure information transmission, which greatly increases the probability of information reaching the monitoring center. At the same time, the use of advanced data compression algorithms can reduce the amount of transmitted data, improve transmission efficiency, and reduce communication costs. S103. Establish an intelligent monitoring and feedback system; The communication module monitors the signal strength and quality in real time and feeds back the information to the monitoring center. The monitoring center adjusts the communication parameters and strategies based on the feedback to ensure stable and efficient communication. If the signal strength in a certain area is found to be weak, the communication module transmission power can be adjusted or the transmission path can be changed. Signal strength adjustment formula: Let signal strength be S, transmission power be P, distance be d, environmental factor influence coefficient be k, and then introduce terrain complexity factor τ and meteorological interference factor ω, then: S = f(P, d, k, τ, ω); determine the specific function relationship f through data analysis, so as to adjust the transmission power and transmission path according to the signal strength; S2. Communication support after natural disasters; S201, relay node automatic switching; After a natural disaster occurs, the buried power equipment automatically switches to relay node mode, receives signals from other equipment through its own Beidou short message communication module, and forwards them to the monitoring center. The relay node can expand the signal coverage and improve communication reliability. S202, adaptive power control; Adaptive power control technology is used to ensure the reliability of relay nodes. According to signal strength, distance and environmental factors, the transmission power of relay nodes is automatically adjusted. When the signal is weak or the distance is far, the power is increased to ensure stable transmission. When the signal is strong or the distance is short, the power is reduced to save energy and reduce interference. Transmit power adjustment formula: Assume the target signal strength is S t , the current signal strength is S c , the distance is d, the environmental factor influence coefficient is k, and then consider the disaster intensity factor ρ and the equipment damage degree factor σ; Transmit power adjustment ΔP = g(S t ,S c ,d,k,ρ,σ), determine the function relationship g through model training to automatically adjust the transmission power; S203, anti-interference processing; In response to the interference environment caused by natural disasters, a variety of anti-interference technologies are used. First, the signal is encrypted to prevent the information from being illegally stolen or tampered with. A high-intensity encryption algorithm is used to ensure communication security. Secondly, filtering technology is used to remove noise and interference in the signal, and the quality is improved by screening and filtering signals of different frequencies. Finally, error correction technology is used to detect and correct errors in the transmission process, and redundant information is added so that the receiving end can detect and correct errors, thereby improving communication reliability. S3, transmission optimization in special scenarios; S301, Transmission optimization in earthquake-prone environments; In an earthquake environment, the ground shakes violently and signal transmission is greatly interfered with. By using frequency agility technology, the communication module automatically adjusts the signal transmission frequency according to the change of ground vibration frequency, and selects the transmission frequency that avoids the interference frequency to ensure stable signal transmission. At the same time, the propagation characteristics of seismic waves are used to detect the propagation direction and intensity of seismic waves and determine the best signal transmission path. If the propagation speed and direction of seismic waves in different media are different, the path can be selected accordingly to improve transmission efficiency; S302, Transmission optimization for flood-prone environments; In a flood environment, rising water levels may submerge power equipment. A waterproof Beidou short message communication module is used and installed at a high place on the equipment to ensure normal communication in a flood environment. At the same time, the reflection characteristics of the water surface are used to adjust the signal transmission angle and power. The transmission angle is set reasonably so that the signal can use water surface reflection to increase the transmission distance and reliability. The transmission angle and power are automatically adjusted according to water level changes to adapt to different flood environments. S303, transmission optimization in typhoon-prone environments; In a typhoon environment, strong winds can easily interfere with signal transmission. The Beidou short message communication module, which is designed to be windproof, is installed in a stable position on the equipment to ensure normal communication in a typhoon environment. The signal transmission direction and power are adjusted using typhoon wind direction and speed information. The wind direction and speed are monitored in real time to select the appropriate transmission direction and power to improve transmission efficiency and reliability. When the wind direction is opposite to the signal transmission direction, the transmission power can be appropriately increased to overcome the influence of wind. Transmit power adjustment formula: Let the angle between wind direction and signal transmission direction be θ ω , wind speed is v ω , the transmission power is P, and considering the typhoon intensity factor π and the equipment wind resistance factor σ', then: P=k(θ ω ,v ω ,π,σ')P0; Where P0 is the initial transmission power, k(θ ω ,v ω ,π,σ') is the adjustment coefficient determined according to the wind direction and wind speed, and the transmission power is adjusted according to the wind direction and wind speed by determining the functional relationship; S304, Transmission optimization in environments prone to debris flow and landslide; In the environment of debris flow and landslide, the terrain changes greatly and signal transmission is easily blocked. Multi-path transmission technology is used to find different transmission paths to ensure that the signal bypasses obstacles to reach the destination. Terrain sensors are used to monitor terrain changes in real time and determine the best transmission path according to the location and movement direction of obstacles. At the same time, signal enhancement technology is used to increase the strength and power of the signal when it passes through obstacles, improve penetration ability, and ensure smooth transmission; S4, rely on Beidou's communication resource allocation; S401, reasonable allocation of resources; In the case of transmitting a large number of short messages, the Beidou system is used to reasonably allocate communication resources. The high-precision positioning and time synchronization functions of Beidou are used to prioritize power equipment in different areas. Communication resources are reasonably allocated according to the importance of the equipment, its geographical location and communication needs, ensuring that the communication of key equipment is prioritized. Resource allocation formula: Let the importance weight of the equipment be ω i , the geographical location weight is ω g , the communication demand weight is ω d , and then introduce the equipment status factor λ' and the emergency degree factor μ', then the comprehensive weight of the equipment is: W = ω i +ω g +ω d +λ'+μ', communication resources are allocated according to the comprehensive weight W. The higher the weight, the more resources are allocated to the device; S402, establishing an artificial intelligence model; Introduce artificial intelligence models to analyze and predict communication data. By learning from historical communication data, artificial intelligence models can predict communication traffic and demand in different time periods and prepare for communication resource allocation in advance. If natural disasters occur frequently, increase the allocation of communication resources to the disaster-stricken areas to meet emergency rescue communication needs; The artificial intelligence prediction model can use machine learning algorithms to establish a prediction model for communication traffic and demand. Suppose the input feature vector is X = {X1, X2, ..., X n }, the output is the communication flow or demand y; Then introduce the external factor influence vector Z = {z1,z2,...,z m }, then the prediction value is As close to the true value as possible; S403, transmission path redundancy processing; Cooperate with power equipment for redundant design, generate multi-path short message transmission paths, set up multiple Beidou short message communication modules in power equipment, or combine with other communication means to form a redundant communication system. When a transmission path fails, it automatically switches to other paths to ensure communication continuity; S5, path selection strategy and path evaluation model optimization; S501, short message splitting strategy; When facing the situation of short message transmission congestion, the short message splitting strategy is adopted to split the short message to be transmitted into multiple data packets and mark each data packet with a unique identifier. Suppose the short message size is M and the size of the split data packet is m. i (i=1,2,...,n), such that: The identifier of each data packet can be generated by a digital sequence, a timestamp, etc. to ensure uniqueness. Considering the importance difference factor η' and the priority factor θ' of the data packet, the size of the data packet can be adjusted to: m' i =m i ×(1+η')×(1+θ'); S502, relay node multipath transmission; Rely on several paths with relay nodes to send these data packets synchronously, take advantage of multi-path transmission, and send data packets through different paths at the same time to improve transmission efficiency; S503, checking the missing status of data packets; After receiving the data packets, the receiver checks the data packets according to the marks on them to determine whether there are any missing data packets. If missing data packets are found, the receiver can request the sender to resend the missing data packets until all data packets are received correctly. Assume that the set of data packets received by the receiver is R = {r1, r2, ..., r k } (k≤n), by comparing the identifiers of the data packets, the set of missing data packets is determined to be L={l1,l2,...,l n-k }; The sender resends the missing data packets according to the request until all the data packets are included in R. Considering the success rate factor π' of data packet transmission and the retransmission limit factor σ", when the receiver receives a data packet, if the number of consecutive retransmissions exceeds σ", it is considered that the data packet cannot be received and the transmission strategy is adjusted; S504, path evaluation model; Establish a path evaluation model to evaluate different transmission paths, taking into account factors such as signal strength, transmission delay, reliability, and path congestion. Give each factor a corresponding weight and comprehensively calculate the evaluation value of each path. Let the evaluation value of the path be V j , the signal strength weight is ω s , the transmission delay weight is ω d , the reliability weight is ω r , the path congestion weight is ω c , then introduce the signal stability factor ω", the delay change rate factor δ", the reliability fluctuation factor ∈" and the congestion change trend factor ζ", the signal strength of the path is S j , the transmission delay is T j , reliability is P j , the path congestion level is C j ,but: V j =ω s S j ×(1+ω″)+ω d T j ×(1+d)+ω r P j ×(1+∈)+ω c C j ×(1+ζ); By adjusting the weight value and considering several factors, the path with the highest evaluation value is selected as the optimal transmission path according to the actual situation; S6, data decompression and recovery optimization; S601, intelligent decompression algorithm selection; By accurately identifying the compression identifier and parameter information, the system can intelligently select the most suitable decompression algorithm. If the data packet is compressed using a lossless compression algorithm based on dictionary encoding, the system will automatically select the corresponding dictionary decoding algorithm during decompression to ensure the accuracy and efficiency of the decompression process. Let the compression mark be C ID , different compression algorithms correspond to different C ID When the receiving end receives the data packet, it first reads it and then selects the corresponding decompression algorithm D according to the preset mapping relationship. alg , if C ID =1 indicates dictionary coding compression, then the corresponding decompression algorithm D alg =D dict ; S602, parallel decompression processing; Adopt parallel processing technology to improve the decompression speed, distribute multiple received data packets to different processing units, and perform decompression operations at the same time, so as to greatly shorten the decompression time and improve the efficiency of data recovery; Assume the number of received packets is N packets , the number of processing units is N units″ Distribute the data packets evenly to each processing unit, that is, the number of data packets processed by each processing unit is N packets / N units ,During parallel processing, each processing unit performs decompression operations independently without interfering with each other; S603, data integrity check; During the decompression process, multiple data integrity checks are performed, using the same verification method as the compression process, and also introducing secondary verification of CRC cyclic redundancy check and hash value comparison verification. Through the combination of multiple verification methods, it is ensured that the recovered data is completely consistent with the original data; S604, error handling and retransmission mechanism optimization; If data loss or damage is found during the decompression process, the system immediately starts the optimized error handling and retransmission mechanism, determines the specific erroneous data packet based on the verification result, and sends a request to the sender to resend the data packet containing the missing content. After receiving the retransmission request, the sender will resend the data packet. At the same time, in order to avoid frequent retransmission requests from burdening the network, if a data packet is retransmitted too many times, the system will take emergency measures to recover the lost data by requesting an alternative data source or starting a data recovery algorithm.

2. According to claim 1, a Beidou short message communication transmission method applied to the power field is characterized in that: The S102 power communication multi-path transmission further includes the following steps: S102a, multi-path transmission reliability; Assume there are m transmission paths, and the reliability of each path is: p i (0≤p i ≤1), considering the mutual interference factors between paths: γ ij (i,j=1,2,...,m,i≠j), then the reliability of the entire multipath transmission system is: S102b, data compression; Assume the original data size is D, the compressed data size is D0, and the compression ratio is In order to further improve the compression efficiency, considering the repetitiveness and correlation of the data, the repetition factor δ and the correlation coefficient ∈ are introduced, and the compressed data size is: D' c =D c ×(1-δ)×(1-∈); New compression ratio:

3. According to claim 2, a Beidou short message communication transmission method applied to the power field is characterized in that: The anti-interference processing in S203 further includes the following steps: S203a, encryption; AES high-strength encryption algorithm is used to encrypt data to ensure information security. In order to enhance encryption strength, dynamic key factors and random number generators are introduced to make the encryption process more complex and difficult to crack. S203b, filtering; Assume the input signal is S i , the output signal after the filter is S o , the filter function is F, and considering the change rate of the interference frequency λ and the dynamic characteristic factor μ of the signal, then S o =F(S i ,λ,μ), remove the noise and interference in the signal by designing the filter function F; S203c, error correction code; Assume the data to be sent is D s , the data after error correction coding is D e , the error correction coding function is E, and then the error type identification factor ξ and the error correction priority factor are introduced but: Assume that the data received by the receiving end is D r , the data after error correction decoding is D d , the error correction decoding function is D, and then the error type identification factor ξ and the error correction priority factor are introduced but Improve the reliability of communication by designing appropriate error correction coding and decoding functions.

4. According to claim 3, a Beidou short message communication transmission method applied to the electric power field is characterized in that: The transmission optimization in the earthquake-prone environment of S301 further comprises the following steps: S301a, frequency agility analysis; Let the ground vibration frequency be f v , the interference frequency range is [f l ,f h ], the signal transmission frequency is f s , and then consider the earthquake intensity factor ψ and the geological structure influence factor but The functional relationship h is determined through simulation so as to select the appropriate transmission frequency according to the ground vibration frequency; S301b, determine the seismic wave propagation path; Assume that the propagation speed of seismic waves in medium i is v i , the propagation direction is θ i , the device position is (x,y,z), the target position is (x t ,y t ,z t ), the best transmission path can be determined by solving the path with the shortest propagation time. The propagation time is: Among them, d i is the propagation distance in medium i; Considering the medium change factor κ and path stability factor χ caused by earthquake, the new propagation time is: Find the path that minimizes T' through optimization algorithm; Where is the propagation distance in the medium. Considering the medium change factor and path stability factor caused by earthquake, the new propagation time is solved by the optimization algorithm to minimize the path.

5. According to claim 4, a Beidou short message communication transmission method applied to the electric power field is characterized in that: The transmission optimization of the flood-prone environment in S302 further includes the following steps: S302a, water surface reflection analysis; Let the emission angle be θ t , the receiving angle is θ r , the water surface reflection coefficient is r, and considering the water level change rate factor ι and the water flow velocity factor θ, the received signal strength is: S r = rS t cos(θ r -θ t )×(1+ι)×(1+θ); Among them, S t To increase the signal strength, adjust the transmission angle to maximize the received signal strength. S302b, emission angle adjustment; Assume the water level is h, the equipment height is H, and the launch angle is θ t ,but: Where d is the horizontal distance between the device and the target, and the launch angle is automatically adjusted according to the water level change.

6. The Beidou short message communication transmission method applied to the electric power field according to claim 5 is characterized in that: The transmission optimization of the environment prone to debris flow and landslide in S304 also includes the following steps: S304a, multi-path transmission reliability analysis; The same formula for multipath transmission reliability in the communication guarantee in the no-signal area is used. Considering the terrain change speed factor ρ' and the obstacle stability factor τ', the reliability of the multipath transmission system is: S304b, signal enhancement analysis; Assume that the signal strength before passing through the obstacle is S1, the signal strength after passing through the obstacle is S2, and the enhancement coefficient is a. Considering the obstacle material influence factor ω' and the signal frequency characteristic factor δ', then: S2 = (1+a)×(1+ω')×(1+δ')S1, the enhancement coefficient is determined according to the characteristics of the obstacle to improve the signal penetration ability.

7. The Beidou short message communication transmission method applied to the electric power field according to claim 6 is characterized in that: The S403 transmission path redundancy processing further includes the following steps: S403a, path fault detection and prediction; Use artificial intelligence models to detect and predict transmission path faults, monitor signal quality, equipment status and other parameters in real time, promptly identify potential faults and take preventive measures, and quickly switch to backup transmission paths after a fault occurs to ensure stable communications; S403b, redundant system reliability analysis; The same formula for multi-path transmission reliability in the signal-free area communication guarantee is used. The transmission path is replaced by different communication modules or communication means in the redundant communication system. Considering the switching time factor ξ' and stability factor ζ' of the redundant system, the reliability of the redundant system is: Where n is the number of modules or means in the redundant communication system.

8. The Beidou short message communication transmission method applied to the electric power field according to claim 7 is characterized in that: The S603 data integrity check also includes the following steps: S603a, preliminary verification; First, perform the same verification as the compression process, assuming that the verification code generated during compression is C checksum , after decompression, recalculate the checksum to D checksum , if C checksum =D checksum , then the data integrity is preliminarily considered to be good, otherwise, the data is considered to be incomplete; S603b, secondary verification; Then, perform a secondary CRC cyclic redundancy check, assuming that the CRC check code added during compression is C CRC , the CRC checksum recalculated after decompression is D CRC , if C CRC =D CRC , then the confirmation of data integrity is further enhanced, otherwise, the data is considered incomplete; S603c, comparison and verification; Finally, perform a hash value comparison check and set the hash value of the original data to H original , the hash value of the decompressed data is H decompressed , if H original =H decompressed , it can be determined that the data recovery is completely correct, otherwise, the data is considered incomplete.

9. The Beidou short message communication transmission method applied to the electric power field according to claim 8 is characterized in that: The S604 error handling and retransmission mechanism optimization also includes the following steps: S604a, sending a missing content resend request; If data loss or damage is found during the decompression process, the system will immediately start the optimized error handling and retransmission mechanism. First, the system will determine the specific error data packet based on the verification result and send a request to the sender to resend the data packet containing the missing content; S604b, resending missing content data packets; Let the set of identifiers of error packets be E packets , the system will send a message containing E to the sender packets After receiving the retransmission request message, the sender will resend the data packet. During the retransmission process, the system will give priority to processing erroneous data packets to ensure that they can be correctly received as soon as possible. S604c, retransmission emergency measures; At the same time, in order to avoid frequent retransmission requests from burdening the network, the system will set a retransmission threshold Q. If the retransmission number of a data packet exceeds the threshold Q, the system will take emergency measures to recover the lost data by requesting an alternative data source or starting a data recovery algorithm.

10. A system using the Beidou short message communication transmission method applied to the electric power field as claimed in claim 9, characterized in that: It includes a no-signal area communication guarantee unit for providing communication for power equipment in no-signal areas, a post-natural disaster communication guarantee unit connected to the no-signal area communication guarantee unit for ensuring communication in the area after a natural disaster occurs, a special scenario transmission optimization unit connected to the post-natural disaster communication guarantee unit for ensuring short message transmission efficiency in a post-natural disaster scenario, a communication resource allocation unit connected to the special scenario transmission optimization unit for reasonably allocating communication resources in the case of a large number of short message transmissions, a path selection strategy optimization unit connected to the communication resource allocation unit for optimizing the short message transmission path, and a data decompression and recovery optimization unit connected to the path selection strategy optimization unit for decompressing and checking the received data; The no-signal area communication guarantee unit includes a short message communication module arranged in the power equipment, a power communication multi-path transmission module for establishing multiple different transmission paths, and an intelligent monitoring and feedback system for real-time monitoring of signal strength and quality, wherein the short message communication module is connected to the power communication multi-path transmission module, and the power communication multi-path transmission module is electrically connected to the intelligent monitoring and feedback system; The post-natural disaster communication guarantee unit includes a relay node automatic switching module for switching the short message transmission purpose after a natural disaster occurs, an adaptive power control module for ensuring stable transmission of relay nodes, and an anti-interference processing module for reducing the influence of the interference environment caused by natural disasters on the short message transmission, the relay node automatic switching module is electrically connected to the adaptive power control module, and the adaptive power control module is connected to the anti-interference processing module; The special scenario transmission optimization unit includes an earthquake-prone environment transmission optimization module for performing transmission optimization for an earthquake-prone environment, a flood-prone environment transmission optimization module for performing transmission optimization for a flood-prone environment, a typhoon-prone environment transmission optimization module for performing transmission optimization for a typhoon-prone environment, and a terrain-change-prone environment transmission optimization module for performing transmission optimization for an environment prone to terrain changes; The communication resource allocation unit includes a resource reasonable allocation module that relies on the Beidou system to reasonably allocate communication resources, an artificial intelligence model that allocates communication resources by analyzing and predicting communication data, and a transmission path redundancy processing module that cooperates with power equipment to perform redundant design to generate a multi-path short message transmission path. The resource reasonable allocation module is electrically connected to the artificial intelligence model, and the artificial intelligence model is electrically connected to the transmission path redundancy processing module; The path selection strategy optimization unit includes a short message splitting strategy module for splitting a short message to be transmitted into a plurality of data packets, a relay node multi-path transmission module for synchronously sending data packets by relying on a plurality of relay node paths, a data packet missing condition detection module for checking missing data packets after receiving the data packets, and a path evaluation model for evaluating different transmission paths in combination with the data packet transmission conditions, wherein the short message splitting strategy module, the relay node multi-path transmission module and the data packet missing condition detection module are all electrically connected to the path evaluation model; The data decompression and recovery optimization unit includes an intelligent decompression algorithm selection module for selecting a decompression algorithm based on a compression algorithm, a parallel decompression processing module for improving the decompression speed of a data packet, a data integrity verification module for performing data integrity detection on the decompressed data packet, and an error handling and retransmission mechanism optimization module for retransmitting incomplete data packets. The intelligent decompression algorithm selection module, the parallel decompression processing module, and the data integrity verification module are all electrically connected to the error handling and retransmission mechanism optimization module.

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