Data communication method and system based on multifunctional vehicle

Abstract

The invention provides a data communication method and system based on a multifunctional vehicle. The method comprises the following steps: acquiring information of a current working environment of the multifunctional vehicle; taking the information of the current working environment as input, and determining an optimal communication link and communication mode suitable for the current working environment by using a pre-established environment-communication mode mapping model; acquiring corresponding communication parameter configuration and interference protection measures from a preset communication mode strategy library according to the optimal communication link and the communication mode; according to the interference protection measures, interference signals in the current working environment are suppressed by using a self-adaptive interference suppression technology; and meanwhile, dynamically adjusting the data transmission route and strategy according to the communication parameter configuration, and performing data communication based on the adjusted data transmission route and strategy. The method can adapt to complex and changeable working environments and suppress interference, so that the communication stability and reliability of the multifunctional vehicle are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of smart construction site construction, and in particular to a data communication method and system based on a multi-functional vehicle. Background Art

[0002] A smart construction site refers to the use of information technology to accurately design and simulate construction projects through a three-dimensional design platform. Focusing on construction process management, an information ecosystem for construction projects is established that features interconnected collaboration, intelligent production, and scientific management. This data is combined with engineering information collected through the Internet of Things in a virtual reality environment for data mining and analysis. Process trend forecasts and expert plans are provided to achieve visual and intelligent management of engineering construction, thereby improving the level of information technology in engineering management and gradually achieving green and ecological construction.

[0003] In construction operation scenarios, operating vehicles may need to move and work flexibly in different operating environments. Due to the complexity and variability of the operating environment, higher requirements are placed on the communication capabilities of on-board equipment. In actual operations, vehicles may frequently enter and exit different operating areas, resulting in unstable communications. At the same time, since there may be various types of interference sources in the operating area, such as electromagnetic interference, radio interference, etc., these interference sources may have varying degrees of impact on the communication quality of on-board equipment, resulting in packet loss and delays in data transmission, and in severe cases may even lead to communication interruptions. Therefore, in a complex and changeable operating environment, the communication stability and reliability of operating vehicles are low. Summary of the invention

[0004] In order to overcome the defects of low communication stability and reliability of working vehicles in the above-mentioned traditional communication mode, the present invention provides a data communication method based on a multi-purpose vehicle, the method comprising:

[0005] Obtain information about the current operating environment of the multi-purpose vehicle;

[0006] Taking the information of the current operating environment as input, and using a pre-established environment-communication mode mapping model, determining an optimal communication link and communication mode suitable for the current operating environment;

[0007] According to the optimal communication link and the communication mode, obtaining corresponding communication parameter configuration and interference protection measures from a preset communication mode strategy library;

[0008] According to the interference protection measures, adaptive interference suppression technology is used to suppress interference signals in the current operating environment; at the same time, data transmission routes and strategies are dynamically adjusted according to the communication parameter configuration, and data communication is performed based on the adjusted data transmission routes and strategies.

[0009] Optionally, taking the information of the current operating environment as input and using a pre-established environment-communication mode mapping model to determine the optimal communication link and communication mode suitable for the current operating environment includes:

[0010] Using a pre-established environment-communication mode mapping model, and according to information of the current operating environment, determining a plurality of candidate communication links and communication modes suitable for the current operating environment;

[0011] According to the signal quality parameters and anti-interference performance parameters of each candidate communication link and communication mode, the optimal communication link and communication mode are selected from the multiple candidate communication links and communication modes.

[0012] Optionally, the acquiring corresponding communication parameter configuration from a preset communication mode policy library according to the optimal communication link and the communication mode includes:

[0013] According to the optimal communication link and the communication mode, a genetic algorithm is used to search for an optimal communication parameter configuration from a candidate parameter space in a preset communication mode strategy library.

[0014] Optionally, the acquiring corresponding interference protection measures from a preset communication mode policy library according to the optimal communication link and the communication mode includes:

[0015] Using a wavelet transform algorithm, performing a time-frequency domain analysis on the interference signal in the current operating environment to obtain a frequency spectrum feature of the interference signal;

[0016] According to the spectrum characteristics of the interference signal, the optimal communication link and the communication mode, the optimal interference protection measure is selected from multiple interference protection measures in a preset communication mode strategy library.

[0017] Optionally, the selecting the optimal interference protection measure from a plurality of interference protection measures in a preset communication mode strategy library according to the spectrum characteristics of the interference signal, the optimal communication link and the communication mode includes:

[0018] Using a multi-criteria decision algorithm or a support vector machine algorithm, according to the spectrum characteristics of the interference signal, the optimal communication link and the communication mode, calculate the adaptability score of each interference protection measure in the preset communication mode strategy library;

[0019] Determining a comprehensive score for each interference protection measure according to the adaptability score, protection effect and cost of each interference protection measure;

[0020] The interference protection measure with the highest comprehensive score is taken as the optimal interference protection measure.

[0021] Optionally, dynamically adjusting the data transmission route and strategy according to the communication parameter configuration includes:

[0022] Dynamically adjust the data transmission route using heuristic rules according to the communication parameter configuration, the network topology result and the traffic distribution of the current operating environment;

[0023] According to the communication parameter configuration and the traffic distribution, a machine learning algorithm is used to predict and analyze the network traffic of the current operating environment to obtain a traffic prediction analysis result; according to the traffic prediction analysis result, a data transmission strategy is dynamically adjusted.

[0024] Optionally, dynamically adjusting the data transmission route by using heuristic rules according to the communication parameter configuration, the network topology result and the traffic distribution of the current operating environment includes:

[0025] Selecting optimal routing information in a routing cache table according to the communication parameter configuration, the network topology result and the traffic distribution of the current operating environment;

[0026] According to the optimal routing information, the data transmission route is dynamically adjusted using heuristic rules.

[0027] Optionally, the process of acquiring the routing cache table includes:

[0028] For hotspot routing information whose access frequency exceeds the set frequency threshold, the routing cache mechanism is used to establish an initial routing cache table;

[0029] Compressing the initial route cache table to obtain a processed initial route cache table;

[0030] The hierarchical route optimization technology and the route compression technology are used to optimize the processed initial route cache table to obtain the route cache table.

[0031] Optionally, after dynamically adjusting the data transmission route and strategy according to the communication parameter configuration and performing data communication based on the adjusted data transmission route and strategy, the method further includes:

[0032] Collecting quality parameters of a communication link during data communication, the quality parameters including link quality parameters and interference level parameters;

[0033] Evaluating the optimal communication link according to the quality parameter to obtain an evaluation result of the optimal communication link;

[0034] If it is determined according to the evaluation result that the optimal communication link cannot match the current operating environment, the optimal communication link and communication mode suitable for the current operating environment are reselected.

[0035] On the other hand, the present invention also provides a data communication system based on a multi-purpose vehicle, comprising:

[0036] An acquisition module is used to obtain information about the current operating environment of the multi-purpose vehicle;

[0037] A determination module, configured to take the information of the current operating environment as input, and determine the optimal communication link and communication mode suitable for the current operating environment by using a pre-established environment-communication mode mapping model; and obtain corresponding communication parameter configuration and interference protection measures from a preset communication mode strategy library according to the optimal communication link and the communication mode;

[0038] The communication module is used to suppress the interference signal in the current operating environment by using adaptive interference suppression technology according to the interference protection measures; at the same time, dynamically adjust the data transmission route and strategy according to the communication parameter configuration, and perform data communication based on the adjusted data transmission route and strategy.

[0039] Optionally, the determining module is specifically used to:

[0040] Using a pre-established environment-communication mode mapping model, and according to information of the current operating environment, determining a plurality of candidate communication links and communication modes suitable for the current operating environment;

[0041] According to the signal quality parameters and anti-interference performance parameters of each candidate communication link and communication mode, the optimal communication link and communication mode are selected from the multiple candidate communication links and communication modes.

[0042] Optionally, the determining module is specifically used to:

[0043] According to the optimal communication link and the communication mode, a genetic algorithm is used to search for an optimal communication parameter configuration from a candidate parameter space in a preset communication mode strategy library.

[0044] Optionally, the determining module is specifically used to:

[0045] Using a wavelet transform algorithm, performing a time-frequency domain analysis on the interference signal in the current operating environment to obtain a frequency spectrum feature of the interference signal;

[0046] According to the spectrum characteristics of the interference signal, the optimal communication link and the communication mode, the optimal interference protection measure is selected from multiple interference protection measures in a preset communication mode strategy library.

[0047] Optionally, the determining module is specifically used to:

[0048] Using a multi-criteria decision algorithm or a support vector machine algorithm, according to the spectrum characteristics of the interference signal, the optimal communication link and the communication mode, calculate the adaptability score of each interference protection measure in the preset communication mode strategy library;

[0049] Determining a comprehensive score for each interference protection measure according to the adaptability score, protection effect and cost of each interference protection measure;

[0050] The interference protection measure with the highest comprehensive score is taken as the optimal interference protection measure.

[0051] Optionally, the communication module is specifically used for:

[0052] Dynamically adjust the data transmission route using heuristic rules according to the communication parameter configuration, the network topology result and the traffic distribution of the current operating environment;

[0053] According to the communication parameter configuration and the traffic distribution, a machine learning algorithm is used to predict and analyze the network traffic of the current operating environment to obtain a traffic prediction analysis result; according to the traffic prediction analysis result, a data transmission strategy is dynamically adjusted.

[0054] Optionally, the communication module is specifically used for:

[0055] Selecting optimal routing information in a routing cache table according to the communication parameter configuration, the network topology result and the traffic distribution of the current operating environment;

[0056] According to the optimal routing information, the data transmission route is dynamically adjusted using heuristic rules.

[0057] Optionally, a routing cache table generation module is also included, which is used to:

[0058] For hotspot routing information whose access frequency exceeds the set frequency threshold, the routing cache mechanism is used to establish an initial routing cache table;

[0059] Compressing the initial route cache table to obtain a processed initial route cache table;

[0060] The hierarchical routing optimization technology and routing compression technology are used to optimize the processed initial routing cache table to obtain the routing cache table.

[0061] In a possible implementation, an adjustment module is further included, which is used to:

[0062] Collecting quality parameters of the communication link during data communication, the quality parameters including link quality parameters and interference level parameters;

[0063] Evaluating the optimal communication link according to the quality parameter to obtain an evaluation result of the optimal communication link;

[0064] If it is determined according to the evaluation results that the optimal communication link cannot match the current operating environment, the optimal communication link and communication method suitable for the current operating environment are reselected.

[0065] On the other hand, the present invention also provides an electronic device, comprising: at least one processor and a memory; the memory and the processor are connected via a bus;

[0066] The memory is used to store one or more programs;

[0067] When the one or more programs are executed by the at least one processor, any one of the above-mentioned multi-purpose vehicle-based data communication methods is implemented.

[0068] On the other hand, the present invention further provides a readable storage medium having an execution program stored thereon, and when the execution program is executed, any of the above-mentioned data communication methods based on a multi-purpose vehicle is implemented.

[0069] Compared with the prior art, the present invention has the following beneficial effects:

[0070] The present invention provides a data communication method based on a multi-functional vehicle, comprising: obtaining information about the current operating environment of the multi-functional vehicle; using the information about the current operating environment as input, and using a pre-established environment-communication mode mapping model to determine the optimal communication link and communication mode suitable for the current operating environment; obtaining corresponding communication parameter configurations and interference protection measures from a preset communication mode strategy library according to the optimal communication link and communication mode; using adaptive interference suppression technology to suppress interference signals in the current operating environment according to the interference protection measures; and at the same time, dynamically adjusting data transmission routes and strategies according to the communication parameter configuration, and performing data communication based on the adjusted data transmission routes and strategies. The present invention can select the optimal communication link and communication mode suitable for the current operating environment, and formulate corresponding communication parameter configurations and interference protection measures, so that it can adapt to complex and changeable operating environments and suppress interference, thereby improving the communication stability and reliability of the multi-functional vehicle. BRIEF DESCRIPTION OF THE DRAWINGS

[0071] Figure 1 It is a flow chart of a data communication method based on a multi-functional vehicle of the present invention;

[0072] Figure 2 It is a structural schematic diagram of a data communication system based on a multi-functional vehicle of the present invention;

[0073] Figure 3 It is a schematic structural diagram of the electronic device of the present invention. DETAILED DESCRIPTION

[0074] The specific implementation modes of the present invention are further described in detail below with reference to the accompanying drawings.

[0075] Embodiment 1:

[0076] The present invention provides a data communication operation method based on a multi-functional vehicle, the flow chart of which is as follows: Figure 1 As shown, including:

[0077] Step 101: Obtain information about the current operating environment of the multi-purpose vehicle.

[0078] Step 102: Using the information of the current operating environment as input, and using a pre-established environment-communication mode mapping model, determine the optimal communication link and communication mode suitable for the current operating environment.

[0079] Step 103: According to the optimal communication link and communication mode, corresponding communication parameter configuration and interference protection measures are obtained from a preset communication mode policy library.

[0080] Step 104: Based on the interference protection measures, adaptive interference suppression technology is used to suppress interference signals in the current operating environment; at the same time, data transmission routes and strategies are dynamically adjusted according to the communication parameter configuration, and data communication is performed based on the adjusted data transmission routes and strategies.

[0081] The embodiments of the present invention can select the optimal communication link and communication mode suitable for the current operating environment, and formulate corresponding communication parameter configurations and interference protection measures. Therefore, it can adapt to complex and changeable operating environments and suppress interference, thereby improving the communication stability and reliability of the multi-purpose vehicle.

[0082] The data communication method based on a multi-purpose vehicle provided by the embodiment of the present invention can be applied to a multi-purpose vehicle, or can be applied to a server.

[0083] In the above step 101, the information of the current working environment of the multi-purpose vehicle is the information of the working environment in which the vehicle is currently located, including parameters such as the environment type, interference source type and intensity, and this information is used as the basis for judging the switching of the communication mode. For example, in this step, a classification model trained by a K-nearest neighbor algorithm can be referred to for classifying the environment type and the interference signal. Taking the classification of the interference signal as an example, the classification model can judge the type of interference source to which the interference signal belongs based on the frequency, amplitude and other characteristics of the interference signal. Through the classification result of the interference signal, the corresponding protection measures can be selected more accurately. For example, if the interference signal is judged to be high-frequency interference, the system will recommend high-frequency shielding materials as the optimal interference protection measures. The environment type can include geographical location, topography, weather conditions, etc.

[0084] The above step 102 can match the optimal communication mode combination, including the optimal communication link and communication mode, to facilitate the switching and adaptation of the multi-purpose vehicle. If the server implements the data communication process, the server can send the optimal communication mode combination to the on-board communication device on the multi-purpose vehicle. In one implementation, in the above step 102, a pre-established environment-communication mode mapping model is used to determine multiple alternative communication links and communication modes suitable for the current operating environment based on information about the current operating environment; based on the signal quality parameters and anti-interference performance parameters of each alternative communication link and communication mode, the optimal communication link and communication mode are selected from multiple alternative communication links and communication modes. By way of example, signal quality parameters include, but are not limited to, link quality parameters and / or interference level parameters.

[0085] In this implementation, if there are multiple communication links and communication modes with similar applicability, the anti-interference performance parameters of each communication link and communication mode under different interference source types and interference intensities are obtained, and the anti-interference performance parameters are input into the environment-communication mode mapping model together with the signal quality parameters under each communication link and communication mode to improve the adaptability and accuracy of the mapping model, that is, the environment-communication mode mapping model can determine which communication link and communication mode has the highest applicability in the current operating environment, and then use it as the optimal communication link and communication mode for the current operating environment. The environment-communication mode mapping model can provide machine learning algorithms for continuous training and optimization, so that it can adaptively adjust the mapping strategy according to environmental changes, improve the intelligence level of the mapping model, and enable the multi-purpose vehicle to communicate stably and efficiently in a complex and changeable operating environment.

[0086] Optionally, if the optimal communication link and communication mode determined by the environment-communication mode mapping model are inconsistent with the communication link and communication mode currently in use, the communication module is controlled to switch to the optimal communication link and communication mode determined by the mapping model to ensure the communication quality. If the determined optimal communication link and communication mode are consistent with the currently used ones, the current optimal communication link and communication mode are kept unchanged, and real-time monitoring is continued.

[0087] In one implementation, in the above step 103, when the corresponding communication parameter configuration is obtained from the preset communication mode policy library according to the optimal communication link and communication mode, the optimal communication parameter configuration can be searched from the candidate parameter space in the preset communication mode policy library according to the optimal communication link and communication mode by using a genetic algorithm, so as to improve the communication quality and efficiency. In this implementation, according to the priority level and applicable scenario of the selected optimal communication link and communication mode, the corresponding communication parameter configuration is obtained as the initialization configuration scheme, and then a machine learning algorithm such as a support vector machine or a decision tree is used to determine whether the quality indicators of the communication link under the initialization configuration scheme, such as signal strength, bit error rate, delay, etc., meet the business requirements; if not, the dynamic optimization mechanism is triggered, and a better communication parameter configuration is selected based on the initialization configuration scheme.

[0088] In one implementation, in the above step 103, when obtaining corresponding interference protection measures from a preset communication mode strategy library based on the optimal communication link and communication mode, a wavelet transform algorithm can be used to perform time-frequency domain analysis on the interference signal in the current operating environment to obtain the spectral characteristics of the interference signal; based on the spectral characteristics of the interference signal, the optimal communication link and communication mode, the optimal interference protection measure is selected from multiple interference protection measures in the preset communication mode strategy library, and the impact of interference on communication quality can be reduced by dynamically switching the interference protection measures. Specifically, the real-time signal of the multi-purpose vehicle communication system can be obtained, the signal can be pre-processed, and the time domain, frequency domain and other characteristic parameters of the signal can be extracted; based on the extracted characteristic parameters, it is determined whether there are interference components in the signal, and if there is interference, the type and strength of the interference signal are determined; according to the type and strength of the detected interference signal, the optimal protection algorithm is selected from the preset interference protection algorithm library, and the algorithm parameters are initialized; the received signal is input into the selected interference protection algorithm for processing, the interference signal is suppressed, and the suppressed signal is output; the characteristic parameters of the suppressed signal are extracted, and compared with the characteristic parameters of the interference signal to evaluate the effect of interference suppression; if the interference suppression effect does not reach the preset threshold, the parameters of the selected interference protection algorithm are readjusted until the suppression effect meets the requirements; the optimal interference protection algorithm and its parameter configuration are applied to the multi-purpose vehicle communication system to realize adaptive interference suppression of communication signals and improve the system's anti-interference ability.

[0089] In this implementation, when selecting the optimal interference protection measure from multiple interference protection measures in a preset communication mode strategy library according to the spectrum characteristics of the interference signal, the optimal communication link and the communication mode, a multi-criteria decision algorithm or a support vector machine algorithm can be used to calculate the adaptability score of each interference protection measure in the preset communication mode strategy library according to the spectrum characteristics of the interference signal, the optimal communication link and the communication mode; determine the comprehensive score of each interference protection measure according to the adaptability score, protection effect and cost of each interference protection measure; and take the interference protection measure with the highest comprehensive score as the optimal interference protection measure. The multi-criteria decision algorithm may include an analytic hierarchy process (AHP) or a fuzzy comprehensive evaluation method. The multi-criteria decision algorithm can calculate the applicability score of each protection measure in the current environment. According to the calculated applicability score, combined with the performance parameters and cost information of the protection measure, the comprehensive score of each protection measure is obtained, the comprehensive scores of all protection measures are sorted, and the protection measure with the highest comprehensive score is selected as the optimal solution. If there are multiple protection measures with the highest score, further comparison is performed based on factors such as protection effect and cost, and the optimal solution is finally determined. When a vector machine algorithm is used, a prediction model can be trained based on historical data and expert experience. The model is used to predict the comprehensive scores of various protection measures under different combinations of environmental factors and interference characteristics, so as to determine the interference protection measure with the best protection effect. Optionally, when a vector machine algorithm is used, a convolutional neural network can be combined to evaluate the protection effects of multiple interference protection measures using a convolutional neural network algorithm, extract the features of the interference signal through the convolutional neural network model, input the interference signal features into the fully connected layer, calculate the probability of the protection effect of each interference protection measure through the softmax function (normalized exponential function), and select the interference protection measure with the best protection effect.

[0090] Multiple interference protection measures in the communication mode strategy library can be established based on the applicable conditions and performance parameters of different interference protection measures, including the applicable environmental scope, protection effect, cost and other information of each interference protection measure. Specifically, information about the operating environment can be obtained, including environmental parameters such as temperature, humidity, and electromagnetic field strength, as well as characteristic parameters such as frequency, amplitude, and duration of interference signals, and an environmental factor database and an interference feature database can be established, based on which multiple interference protection measures can be established.

[0091] In the above step 104, when interference suppression is performed, adaptive interference suppression technology is introduced, and the parameters and thresholds of the interference protection algorithm are dynamically adjusted through real-time detection and feature extraction of interference signals, so as to realize adaptive optimization of interference protection measures: according to the type and strength of the detected interference signal, the optimal protection measure is selected from the preset interference protection measures, and the algorithm parameters are initialized, and the received signal is input into the selected interference protection measure for processing, the interference signal is suppressed, and the suppressed signal is output. Among them, corresponding interference protection measures, such as electromagnetic shielding, spectrum scheduling, etc., can be taken for various interference sources in the operating environment to minimize the impact of interference on communication.

[0092] In the above 104, dynamically adjusting the data transmission route and strategy according to the priority and applicable scenarios of different communication links can improve the adaptability of the communication process, reduce interference and conflicts in the communication process, improve communication accuracy and real-time performance, and ensure the stability and reliability of the communication link. For example, when dynamically adjusting the data transmission route and strategy according to the communication parameter configuration, the data transmission route can be dynamically adjusted using heuristic rules based on the communication parameter configuration, the network topology results of the current operating environment, and the traffic distribution; based on the communication parameter configuration and traffic distribution, the network traffic of the current operating environment is predicted and analyzed using a machine learning algorithm to obtain traffic prediction analysis results; based on the traffic prediction analysis results, the data transmission strategy is dynamically adjusted. This example can reduce the amount of routing calculations, reduce time complexity, and improve the accuracy and real-time performance of routing adjustments.

[0093] According to the communication parameter configuration, the network topology results of the current operating environment and the traffic distribution, when the data transmission route is dynamically adjusted using the heuristic rules, the optimal routing information can be selected in the routing cache table according to the communication parameter configuration, the network topology results of the current operating environment and the traffic distribution; according to the optimal routing information, the data transmission route is dynamically adjusted using the heuristic rules. Establishing a routing cache table can speed up the routing search speed, reduce repeated calculations, and reduce time overhead.

[0094] In one implementation, the acquisition process of the above-mentioned route cache table includes: for hotspot routing information whose access frequency exceeds a set frequency threshold, using a route cache mechanism to establish an initial route cache table; compressing the initial route cache table to obtain a processed initial route cache table; using hierarchical routing optimization technology and route compression technology to optimize the processed initial route cache table to obtain a route cache table. For frequently accessed hotspot routing information, by establishing a route cache, the route search speed is accelerated, repeated calculations are reduced, and time overhead is reduced. The routing table is compressed and stored, redundant information is removed, the storage structure is optimized, the storage space occupied by the routing table is reduced, and the space complexity is reduced. The hierarchical routing optimization technology is used to divide the routing table according to the network level, and different levels use routing information of different granularities to simplify the route search process. The storage structure of the routing table is optimized in combination with deep learning technology, and the storage overhead is further reduced by compression coding and intelligent indexing. The reinforcement learning algorithm is comprehensively applied to adaptively adjust the routing strategy according to the changes in the network state, and the routing performance is continuously optimized, which can balance the time and space complexity.

[0095] Environmental information parameters can be continuously obtained during the communication process. Environmental information parameters can be represented by the quality parameters of the communication link. When environmental information parameters change, the optimal communication link and communication mode can be re-determined to adapt to different operating environments. For example, after dynamically adjusting the data transmission route and strategy according to the communication parameter configuration and performing data communication based on the adjusted data transmission route and strategy, the quality parameters of the communication link during the data communication process can also be collected. The quality parameters include link quality parameters and interference level parameters; the optimal communication link is evaluated according to the quality parameters to obtain the evaluation result of the optimal communication link; if it is determined according to the evaluation result that the optimal communication link cannot match the current operating environment, the optimal communication link and communication mode suitable for the current operating environment are re-selected. In the process of the multi-functional vehicle performing tasks, the quality parameters of each communication link, such as signal strength, packet loss rate, delay, etc., can be collected in real time. Through multi-dimensional fusion analysis, communication anomalies can be discovered in time. When the communication quality parameters are lower than the preset threshold, it is judged as a communication anomaly, and the backup communication link is immediately started. According to the type and degree of the abnormal parameters, the data transmission strategy is dynamically adjusted to ensure the priority transmission of key data, and to ensure reliable transmission and efficient service of communication.

[0096] The embodiment of the present invention ensures that the vehicle-mounted communication equipment can realize adaptive switching of communication modes in complex and changeable operating environments through the comprehensive application of the above measures, ensure the stability and reliability of communication, and provide solid communication guarantee for the continuous and stable operation of the operating process. In a complex and changeable operating environment, the characteristics and applicable scenarios of various communication modes are comprehensively considered, and the adaptation to different operating environments is realized through reasonable communication mode combinations and switching strategies, and the stability and reliability of communication are ensured through necessary interference protection measures, ultimately ensuring that the multi-functional vehicle can function continuously and stably.

[0097] Embodiment 2:

[0098] Based on the same inventive concept, the present invention also provides a data communication system based on a multi-functional vehicle, the structural diagram of which is shown in FIG. Figure 2 As shown, including:

[0099] An acquisition module is used to obtain information about the current operating environment of the multi-purpose vehicle;

[0100] A determination module is used to take the information of the current operating environment as input, and use the pre-established environment-communication mode mapping model to determine the optimal communication link and communication mode suitable for the current operating environment; according to the optimal communication link and communication mode, obtain the corresponding communication parameter configuration and interference protection measures from the preset communication mode strategy library;

[0101] The communication module is used to suppress interference signals in the current operating environment using adaptive interference suppression technology based on interference protection measures; at the same time, dynamically adjust data transmission routes and strategies according to communication parameter configuration, and perform data communication based on the adjusted data transmission routes and strategies.

[0102] In a possible implementation, the determination module is specifically configured to:

[0103] Using a pre-established environment-communication mode mapping model, based on information of the current operating environment, multiple candidate communication links and communication modes suitable for the current operating environment are determined;

[0104] According to the signal quality parameters and anti-interference performance parameters of each candidate communication link and communication mode, the optimal communication link and communication mode are selected from multiple candidate communication links and communication modes.

[0105] In a possible implementation, the determination module is specifically configured to:

[0106] According to the optimal communication link and communication mode, a genetic algorithm is used to search for the optimal communication parameter configuration from the candidate parameter space in the preset communication mode strategy library.

[0107] In a possible implementation, the determination module is specifically configured to:

[0108] Using the wavelet transform algorithm, the interference signal in the current working environment is analyzed in the time and frequency domain to obtain the spectrum characteristics of the interference signal;

[0109] According to the spectrum characteristics of the interference signal, the optimal communication link and the communication mode, the optimal interference protection measure is selected from multiple interference protection measures in the preset communication mode strategy library.

[0110] In a possible implementation, the determination module is specifically configured to:

[0111] Using a multi-criteria decision-making algorithm or a support vector machine algorithm, the adaptability score of each interference protection measure in the preset communication mode strategy library is calculated according to the spectrum characteristics of the interference signal, the optimal communication link and the communication mode;

[0112] Determine the comprehensive score of each interference protection measure based on its adaptability score, protection effect and cost;

[0113] The interference protection measure with the highest comprehensive score is taken as the optimal interference protection measure.

[0114] In a possible implementation manner, the communication module is specifically configured to:

[0115] Dynamically adjust the data transmission route using heuristic rules based on the communication parameter configuration, the network topology results of the current operating environment, and the traffic distribution;

[0116] According to the communication parameter configuration and traffic distribution, the machine learning algorithm is used to predict and analyze the network traffic in the current operating environment to obtain the traffic prediction analysis results; according to the traffic prediction analysis results, the data transmission strategy is dynamically adjusted.

[0117] In a possible implementation manner, the communication module is specifically configured to:

[0118] Select the best routing information from the routing cache table based on the communication parameter configuration, the network topology results of the current operating environment, and the traffic distribution;

[0119] Based on the optimal routing information, heuristic rules are used to dynamically adjust the data transmission route.

[0120] In a possible implementation manner, the method further includes a routing cache table generating module, which is used to:

[0121] For hotspot routing information whose access frequency exceeds the set frequency threshold, the routing cache mechanism is used to establish an initial routing cache table;

[0122] Compressing the initial route cache table to obtain a processed initial route cache table;

[0123] The hierarchical routing optimization technology and routing compression technology are used to optimize the processed initial routing cache table to obtain the routing cache table.

[0124] In a possible implementation, an adjustment module is further included, which is used to:

[0125] Collecting quality parameters of the communication link during data communication, the quality parameters including link quality parameters and interference level parameters;

[0126] Evaluating the optimal communication link according to the quality parameter to obtain an evaluation result of the optimal communication link;

[0127] If it is determined according to the evaluation results that the optimal communication link cannot match the current operating environment, the optimal communication link and communication method suitable for the current operating environment are reselected.

[0128] Embodiment 3:

[0129] like Figure 3 As shown, the present invention also provides an electronic device, which may be a computer device, a single-chip device, an intelligent mobile device, etc. The electronic device in this embodiment may include a processor, a memory, a transceiver component, etc. The memory, the processor, and the transceiver component are connected via a bus; the memory may be used to store an execution program, and an exemplary execution program may include instructions; the processor is used to execute the instructions stored in the memory. The memory may also be used to store data, which may be called and / or modified when the instructions are executed.

[0130] The processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. It is the computing core and control core of the terminal, which is suitable for implementing one or more instructions, specifically suitable for loading and executing one or more instructions in a storage medium to implement the corresponding method flow or corresponding functions, so as to implement the steps of a data communication method based on a multi-function vehicle in the above-mentioned embodiment.

[0131] Embodiment 4:

[0132] Based on the same inventive concept, the present invention also provides a readable storage medium, specifically an electronic device readable storage medium (Memory), which is a memory device in the electronic device for storing programs and data. It can be understood that the storage medium here can include both the built-in storage medium in the electronic device and the extended storage medium supported by the electronic device. The storage medium provides a storage space, which stores the operating system of the terminal. In addition, one or more instructions suitable for being loaded and executed by the processor are also stored in the storage space, and these instructions can be one or more execution programs (including program codes). It should be noted that the storage medium here can be a high-speed RAM memory or a non-volatile memory, such as at least one disk memory. The processor loads and executes one or more instructions stored in the storage medium, which can implement the steps of a data communication method based on a multi-functional vehicle in the above embodiment.

[0133] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0134] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0135] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0136] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0137] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit its protection scope. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the field should understand that after reading the present invention, those skilled in the art can still make various changes, modifications or equivalent substitutions to the specific implementation methods of the application, but these changes, modifications or equivalent substitutions are all within the protection scope of the claims to be approved.

Claims

1. A data communication method based on a multi-purpose vehicle, characterized in that: include: Obtain information about the current operating environment of the multi-purpose vehicle; Taking the information of the current operating environment as input, and using a pre-established environment-communication mode mapping model, determining an optimal communication link and communication mode suitable for the current operating environment; According to the optimal communication link and the communication mode, obtaining corresponding communication parameter configuration and interference protection measures from a preset communication mode strategy library; According to the interference protection measures, adaptive interference suppression technology is used to suppress interference signals in the current operating environment; at the same time, data transmission routes and strategies are dynamically adjusted according to the communication parameter configuration, and data communication is performed based on the adjusted data transmission routes and strategies.

2. The method according to claim 1, characterized in that The method of taking the information of the current operating environment as input and using a pre-established environment-communication mode mapping model to determine the optimal communication link and communication mode suitable for the current operating environment includes: Using a pre-established environment-communication mode mapping model, and according to information of the current operating environment, determining a plurality of candidate communication links and communication modes suitable for the current operating environment; According to the signal quality parameters and anti-interference performance parameters of each candidate communication link and communication mode, the optimal communication link and communication mode are selected from the multiple candidate communication links and communication modes.

3. The method according to claim 1 or 2, characterized in that The acquiring corresponding communication parameter configuration from a preset communication mode policy library according to the optimal communication link and the communication mode includes: According to the optimal communication link and the communication mode, a genetic algorithm is used to search for an optimal communication parameter configuration from a candidate parameter space in a preset communication mode strategy library.

4. The method according to claim 1 or 2, characterized in that: The acquiring corresponding interference protection measures from a preset communication mode policy library according to the optimal communication link and the communication mode includes: Using a wavelet transform algorithm, performing a time-frequency domain analysis on the interference signal in the current operating environment to obtain a frequency spectrum feature of the interference signal; According to the spectrum characteristics of the interference signal, the optimal communication link and the communication mode, the optimal interference protection measure is selected from multiple interference protection measures in a preset communication mode strategy library.

5. The method according to claim 4, characterized in that The selecting the optimal interference protection measure from a plurality of interference protection measures in a preset communication mode strategy library according to the spectrum characteristics of the interference signal, the optimal communication link and the communication mode comprises: Using a multi-criteria decision algorithm or a support vector machine algorithm, according to the spectrum characteristics of the interference signal, the optimal communication link and the communication mode, calculate the adaptability score of each interference protection measure in the preset communication mode strategy library; Determining a comprehensive score for each interference protection measure according to the adaptability score, protection effect and cost of each interference protection measure; The interference protection measure with the highest comprehensive score is taken as the optimal interference protection measure.

6. The method according to claim 1, characterized in that The dynamically adjusting the data transmission route and strategy according to the communication parameter configuration includes: Dynamically adjust the data transmission route using heuristic rules according to the communication parameter configuration, the network topology result and the traffic distribution of the current operating environment; According to the communication parameter configuration and the traffic distribution, a machine learning algorithm is used to predict and analyze the network traffic of the current operating environment to obtain a traffic prediction analysis result; according to the traffic prediction analysis result, a data transmission strategy is dynamically adjusted.

7. The method according to claim 6, characterized in that The dynamically adjusting the data transmission route by using heuristic rules according to the communication parameter configuration, the network topology result and the traffic distribution of the current operating environment includes: Selecting optimal routing information in a routing cache table according to the communication parameter configuration, the network topology result and the traffic distribution of the current operating environment; According to the optimal routing information, the data transmission route is dynamically adjusted using heuristic rules.

8. The method according to claim 7, characterized in that The process of obtaining the routing cache table includes: For hotspot routing information whose access frequency exceeds the set frequency threshold, the routing cache mechanism is used to establish an initial routing cache table; Compressing the initial route cache table to obtain a processed initial route cache table; The processed initial route cache table is optimized by using a hierarchical route optimization technology and a route compression technology to obtain a route cache table.

9. The method according to claim 1 or 6, characterized in that: After dynamically adjusting the data transmission route and strategy according to the communication parameter configuration and performing data communication based on the adjusted data transmission route and strategy, the method further includes: Collecting quality parameters of a communication link during data communication, wherein the quality parameters include a link quality parameter and an interference level parameter; Evaluating the optimal communication link according to the quality parameter to obtain an evaluation result of the optimal communication link; If it is determined according to the evaluation result that the optimal communication link cannot match the current operating environment, then the optimal communication link and communication mode suitable for the current operating environment are reselected.

10. A data communication system based on a multi-purpose vehicle, characterized in that: include: An acquisition module is used to obtain information about the current operating environment of the multi-purpose vehicle; A determination module, configured to take the information of the current operating environment as input, and determine the optimal communication link and communication mode suitable for the current operating environment by using a pre-established environment-communication mode mapping model; and obtain corresponding communication parameter configuration and interference protection measures from a preset communication mode strategy library according to the optimal communication link and the communication mode; The communication module is used to suppress the interference signal in the current operating environment by using adaptive interference suppression technology according to the interference protection measures; at the same time, dynamically adjust the data transmission route and strategy according to the communication parameter configuration, and perform data communication based on the adjusted data transmission route and strategy.

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