Communication system and method based on vehicle-mounted electronic equipment, and storage medium

Abstract

The invention relates to the technical field of communication, and particularly discloses a communication system and method based on vehicle-mounted electronic equipment and a storage medium. The method comprises the following steps: firstly, extracting a keyword of a vehicle-mounted equipment data transmission request, quantifying an importance score as a core weight, calculating time sensitivity in combination with transmission delay time and a stability index, quantifying urgency of a high-timeliness demand, introducing environmental risk assessment, and analyzing a communication quality risk according to a visibility index and a signal weakness coefficient. Key data transmission in a severe environment is guaranteed, a comprehensive transmission priority value is generated by fusing keyword scores, time sensitivity and environmental risk values, the limitation of single-dimension evaluation is broken through, dynamic balance of data importance, timeliness and environmental influence is achieved, a system processes all requests to generate independent priority values, dynamic scheduling is conducted according to comprehensive scores, and the system performance is improved. According to the method, the emergency instruction response speed is increased, the system robustness is enhanced, potential safety hazards are reduced, and reliable operation of the vehicle under complex working conditions is ensured.

Description

Technical Field

[0001] The present invention relates to the field of communication technology, and in particular to a communication system, method and storage medium based on vehicle-mounted electronic equipment. Background Art

[0002] With the rapid development of intelligent and connected vehicles, the types and functions of in-vehicle electronic devices are becoming increasingly diverse, including in-vehicle infotainment systems (IVI), advanced driver assistance systems (ADAS), on-board diagnostic systems (OBD), and vehicle-to-everything (V2X) communication modules. These devices are interconnected through in-vehicle networks (such as CAN bus, LIN bus, Ethernet) or wireless communication technologies (such as Bluetooth, Wi-Fi, and 5G), and exchange data with cloud servers, other vehicles, and road infrastructure. When existing in-vehicle communications receive communication requests, they are usually allocated sequentially based on a time series. This results in the vehicle being unable to quickly respond to corresponding communication needs in the event of an emergency (for example, when a vehicle passes through a tunnel during intelligent driving, the communication demand level increases. If the corresponding communication demand cannot be matched in time, it will cause driving risks for the vehicle), which in turn leads to driving safety hazards for the vehicle. Therefore, a communication method based on in-vehicle electronic equipment is needed to solve the above problems. Summary of the Invention

[0003] The object of the present invention is to provide a communication system, method and storage medium based on vehicle-mounted electronic equipment to solve the technical problems raised in the above background technology.

[0004] To achieve the above object, the present invention provides the following technical solutions: A communication method based on vehicle-mounted electronic equipment, comprising: Obtaining multiple current data transmission information of vehicle-mounted electronic equipment; Perform keyword extraction on the current data transmission information to obtain a target transmission keyword, and obtain a corresponding keyword score value according to the target transmission keyword; Acquire a data transmission delay time and a data transmission stability index of the current data transmission information, and acquire a time sensitivity value according to the data transmission delay time and the data transmission stability index; Acquiring current environmental parameter information of the vehicle, wherein the current environmental parameter information includes a visibility index and a communication signal attenuation coefficient, and acquiring an environmental hazard risk value according to the visibility index and the communication signal attenuation coefficient; Obtaining a first comprehensive transmission priority value according to the keyword score value, the time sensitivity value, and the environmental hazard risk value; Repeat the steps of extracting keywords from the current data transmission information to obtain target transmission keywords and obtaining a first comprehensive transmission priority value based on the keyword score value, time sensitivity value, and environmental hazard risk value on the remaining multiple current data transmission information to obtain multiple second comprehensive transmission priority values; The in-vehicle electronic device communicates and transmits a plurality of data transmission information according to the first integrated transmission priority value and a plurality of the second integrated transmission priority values.

[0005] Preferably, the step of obtaining a corresponding keyword score value according to the target transmission keyword includes: Acquiring encoding information according to the current data transmission information; Performing real-time semantic feature extraction on the encoded information based on a quantum convolutional neural network to obtain compound keywords; Get the keywords of historical transmission; Acquire multiple real-time keywords of multiple vehicle groups based on a web crawler, and perform vocabulary increment on the historically transmitted keywords based on the multiple real-time keywords to obtain an incremental keyword library; Identify the compound keywords according to the incremental keyword library to obtain target transmission keywords; The target transmission keyword is assigned a value based on a preset historical transmission keyword-score table to obtain a keyword score value.

[0006] Preferably, the step of obtaining the data transmission delay time and the data transmission stability index of the current data transmission information, and obtaining a time sensitivity value according to the data transmission delay time and the data transmission stability index includes: Get the number of data transmissions sent within the preset time period. Obtain multiple current data reception durations of current data transmission information within a preset time; Sequentially calculating the difference between a preset data standard reception time and a plurality of current data reception time differences to obtain a plurality of reception time differences, and accumulating the plurality of reception time differences to obtain a total reception time difference; Calculate an average delayed transmission duration based on the total reception time difference and the number of data transmission transmissions, and use the average delayed transmission duration as the data transmission delay duration; Acquire the start data transmission time and the data reception time according to the preset time; The average data reception duration is calculated based on the multiple current data reception durations, the start data transmission time, and the data reception time, wherein the calculation formula is: in, represents the average data reception duration, t1 represents the start data transmission time, t2 represents the data reception time, J(S) represents the current data reception duration, and n represents the number of data reception durations, where i = 1, 2, 3...n; the standard data reception duration is calculated based on the multiple current data reception durations and the average data reception duration, where the calculation formula is: Wherein, B(Z) represents the standard data receiving duration, J(S) represents the oth data receiving duration, k represents the number of data receiving durations, and o represents the sequence number of the data receiving duration, where o=1, 2, 3...k. Indicates the average data receiving time; The average-standard data reception duration ratio is calculated based on the average data reception duration and the standard data reception duration, wherein the calculation formula is: Among them, B(S) represents the ratio of average to standard data reception time, represents the average data reception time, and B(Z) represents the standard data reception time; The average-standard data reception time ratio is used as a data transmission stability index; The data transmission delay time and the data transmission stability index are weightedly calculated to obtain a comprehensive transmission impact value, and the comprehensive transmission impact value is used as a time sensitivity value.

[0007] Preferably, the step of obtaining the current environmental parameter information of the vehicle, wherein the current environmental parameter information includes a visibility index and a communication signal attenuation coefficient, and obtaining the environmental hazard risk value according to the visibility index and the communication signal attenuation coefficient, comprises: The laser emission intensity, laser receiving intensity, and laser propagation distance of the vehicle-mounted laser radar are obtained to calculate the laser detection attenuation coefficient. The calculation formula is: Among them, Xs represents the laser detection attenuation coefficient, R represents the laser propagation distance, I r Indicates the laser receiving intensity, I0 indicates the laser transmitting intensity; Obtain multiple current reception strength values and the number of reception strength values of the communication signal within a preset time in the current environment; Calculating multiple attenuation strengths according to the multiple current receiving strength values and the preset standard receiving strength value in sequence, accumulating the multiple attenuation strengths to obtain a total attenuation strength, and calculating an average attenuation strength according to the ratio of the total attenuation strength to the number of receiving strength values, and using the average attenuation strength as the communication signal attenuation coefficient, The visibility index and the communication signal attenuation coefficient are weighted and calculated to obtain an environmental hazard risk value.

[0008] Preferably, the step of obtaining a first comprehensive transmission priority value according to the keyword score value, the time sensitivity value, and the environmental hazard risk value comprises: Obtaining a keyword score value vector according to the keyword score value, and normalizing the keyword score value vector to obtain a normalized value of the keyword score value vector; Obtaining a time sensitivity value vector according to the time sensitivity value, and normalizing the time sensitivity value vector to obtain a normalized value of the time sensitivity value vector; Obtaining an environmental hazard risk value vector according to the environmental hazard risk value, and normalizing the environmental hazard risk value vector to obtain a normalized value of the environmental hazard risk value vector; Obtain bias reference value based on back propagation algorithm; The first comprehensive transmission priority value is calculated by using the normalized value of the keyword score value vector, the normalized value of the time sensitivity value vector, the normalized value of the environmental hazard risk value vector, and the bias reference value, wherein the calculation formula is: d(y)=σ[D(B)*w1+G(X)*w2+W(D)*(1-w1-w2)+E]; Among them, d(y) represents the first comprehensive transmission priority value, σ represents the activation function, such as ReLU or Sigmoid, D(B) represents the normalized value of the keyword score value vector, w1 represents the weight value of the normalized value of the keyword score value vector, G(X) represents the normalized value of the time sensitivity value vector, w2 represents the weight value of the normalized value of the time sensitivity value vector, W(D) represents the normalized value of the environmental hazard risk value vector, and E represents the bias reference value.

[0009] Preferably, the step of communicating and transmitting a plurality of data transmission information by the on-board electronic device according to the first integrated transmission priority value and a plurality of the second integrated transmission priority values further includes: Acquire a plurality of corresponding timestamps according to the first integrated transmission priority value and a plurality of the second integrated transmission priority values; Sorting the first integrated transmission priority value and the plurality of second integrated transmission priority values based on a plurality of timestamps to obtain an integrated transmission priority value sorting table; A plurality of data transmission information is communicated and transmitted based on the comprehensive transmission priority value sorting table.

[0010] The present application also provides a communication system based on vehicle-mounted electronic equipment, comprising: A first acquisition module is used to acquire a plurality of current data transmission information of the vehicle-mounted electronic device; a first extraction module, configured to extract keywords from the current data transmission information to obtain target transmission keywords, and obtain corresponding keyword score values according to the target transmission keywords; A second acquisition module is used to obtain the data transmission delay time and the data transmission stability index of the current data transmission information, and obtain a time sensitivity value according to the data transmission delay time and the data transmission stability index; a third acquisition module, configured to acquire current environmental parameter information of the vehicle, wherein the current environmental parameter information includes a visibility index and a communication signal attenuation coefficient, and acquire an environmental hazard risk value according to the visibility index and the communication signal attenuation coefficient; a fourth acquisition module, configured to acquire a first comprehensive transmission priority value according to the keyword score value, the time sensitivity value, and the environmental hazard risk value; a second extraction module, configured to sequentially repeat the steps of performing keyword extraction on the remaining multiple pieces of current data transmission information to obtain a target transmission keyword, and then obtain a first comprehensive transmission priority value based on the keyword score value, the time sensitivity value, and the environmental hazard risk value, to obtain multiple second comprehensive transmission priority values; The first transmission module is used for the vehicle-mounted electronic device to communicate and transmit multiple data transmission information according to the first integrated transmission priority value and multiple second integrated transmission priority values.

[0011] Preferably, the first extraction module includes: A first acquiring unit, configured to acquire coding information according to the current data transmission information; A first extraction unit is configured to perform real-time semantic feature extraction on the encoded information based on a quantum convolutional neural network to obtain compound keywords; A second acquiring unit is used to acquire keywords of historical transmissions; a third acquisition unit, configured to acquire a plurality of real-time keywords of a plurality of vehicle groups based on a web crawler, and perform vocabulary increment on the historically transmitted keywords based on the plurality of real-time keywords to obtain an incremental keyword library; The first recognition unit is used to recognize the compound keyword according to the incremental keyword library to obtain the target transmission keyword; the first assignment unit is used to assign the target transmission keyword based on a preset historical transmission keyword-score table to obtain a keyword score value.

[0012] The present application also provides a computer device, comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the above method when executing the computer program.

[0013] The present application also provides a computer-readable storage medium having a computer program stored thereon, which implements the steps of the above method when executed by a processor.

[0014] The beneficial effects of the present application are as follows: the present invention first extracts the keywords of various data transmission requests (such as braking instructions, navigation data) of vehicle-mounted equipment and quantifies their importance scores as the basis for core weights. At the same time, the time sensitivity is calculated in combination with the data transmission delay time and the stability index to quantify the urgency of high-time requirements such as autonomous driving. Innovatively introduce environmental risk assessment, analyze communication quality risks based on visibility index and signal attenuation coefficient, and give priority to ensuring the continuity of critical data transmission in harsh environments. By integrating keyword scores, time sensitivity and environmental risk values to generate a comprehensive transmission priority value, breaking through the limitations of traditional single-dimensional evaluation, and achieving a dynamic balance between data importance, timeliness and environmental impact. The system processes all transmission requests item by item to generate independent priority values, and finally implements dynamic priority communication scheduling based on the comprehensive score. This method effectively improves the response speed of emergency commands in intelligent driving scenarios, enhances system robustness through real-time environmental perception, reduces safety hazards caused by communication delays or interruptions, and ensures reliable operation of vehicles under complex working conditions. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 This is a schematic diagram of a method flow chart according to an embodiment of the present application.

[0016] Figure 2 This is a schematic diagram of the system structure of an embodiment of the present application.

[0017] Figure 3 This is a schematic diagram of the internal structure of a computer device according to an embodiment of the present application.

[0018] The realization of the objectives, functional features and advantages of this application will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0019] It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0020] like Figure 1-Figure 3 As shown, the present application provides a communication method based on an in-vehicle electronic device, comprising: S1. Acquire multiple current data transmission information of the vehicle-mounted electronic equipment; S2. Extract keywords from the current data transmission information to obtain target transmission keywords, and obtain corresponding keyword score values according to the target transmission keywords; S3. Obtaining a data transmission delay time and a data transmission stability index of the current data transmission information, and obtaining a time sensitivity value according to the data transmission delay time and the data transmission stability index; S4. Acquire current environmental parameter information of the vehicle, wherein the current environmental parameter information includes a visibility index and a communication signal attenuation coefficient, and acquire an environmental hazard risk value based on the visibility index and the communication signal attenuation coefficient; S5. Obtaining a first integrated transmission priority value based on the keyword score value, the time sensitivity value, and the environmental hazard risk value; S6. Repeating the steps of extracting keywords from the current data transmission information to obtain the target transmission keyword and obtaining the first integrated transmission priority value based on the keyword score value, the time sensitivity value, and the environmental hazard risk value for the remaining multiple current data transmission information, thereby obtaining multiple second integrated transmission priority values; S7. The in-vehicle electronic device communicates and transmits multiple data transmission information according to the first integrated transmission priority value and multiple second integrated transmission priority values.

[0021] As described in steps S1-S7 above, when existing vehicle-mounted communications receive communication requests, they are typically allocated sequentially based on a time sequence. This results in the vehicle being unable to quickly respond to corresponding communication needs when an emergency occurs (for example, when a vehicle passes through a tunnel during intelligent driving, the communication demand level increases. If the corresponding communication demand cannot be matched in time, it will lead to driving risks for the vehicle), which in turn leads to driving safety hazards for the vehicle. Therefore, the present invention first obtains multiple current data transmission information of the on-board electronic device (such as emergency braking instructions, navigation data, streaming media, etc.), then performs keyword extraction on the current data transmission information to obtain target transmission keywords, and obtains corresponding keyword score values based on the target transmission keywords. In this way, the keyword score value provides a core weight basis for subsequent comprehensive evaluation, and then obtains the data transmission delay time and data transmission stability index of the current data transmission information, and obtains a time sensitivity value based on the data transmission delay time and data transmission stability index. In this way, the sensitivity of data transmission to time can be quantified (such as the need for low delay for autonomous driving instructions), and then through delay and stability analysis, a basis for achieving more accurate priority sorting is provided; Secondly, since environmental factors directly affect communication quality, existing methods do not include them in priority assessment. To improve system robustness through dynamic environmental perception, the vehicle's current environmental parameter information is obtained, where the current environmental parameter information includes the visibility index and the communication signal attenuation coefficient. The environmental hazard risk value is obtained based on the visibility index and the communication signal attenuation coefficient. In this way, by assessing the impact of the environment on communication (such as signal attenuation in tunnels), the transmission of high-priority data is prioritized to avoid communication interruptions. Next, a first comprehensive transmission priority value is obtained based on the keyword score, time sensitivity, and environmental hazard risk value. This multi-dimensional fusion evaluation avoids decision bias caused by a single factor (such as keywords alone) and generates a comprehensive priority score that balances data importance, timeliness, and environmental impact, providing an important basis for subsequent sorting. Next, the remaining multiple current data transmission information are sequentially subjected to the keyword extraction process to obtain the target transmission keyword and the first comprehensive transmission priority value according to the keyword score value, the time sensitivity value and the environmental hazard risk value, thereby obtaining multiple second comprehensive transmission priority values. This allows data to be processed one by one, ensuring that the priority calculation of each request is independent and accurate, and generating priority scores for all data to ensure that no data is missed. Finally, the on-board electronic device communicates multiple data transmission information according to the first comprehensive transmission priority value and multiple second comprehensive transmission priority values. In this way, the communication can be dynamically adjusted through the comprehensive transmission priority value. At the same time, the priority sorting is more in line with the real-time requirements of the intelligent driving scenario, and can solve the problem of insufficient response to emergency needs in existing on-board communications, avoiding driving safety hazards in the vehicle.

[0022] In one embodiment, the step S2 of obtaining a corresponding keyword score value according to the target transmission keyword includes: S201, obtaining coding information according to the current data transmission information; S202, performing real-time semantic feature extraction on the encoded information based on a quantum convolutional neural network to obtain compound keywords; S203, obtaining historically transmitted keywords; S204, acquiring multiple real-time keywords of multiple vehicle groups based on a web crawler, and performing vocabulary increment on the historically transmitted keywords based on the multiple real-time keywords to obtain an incremental keyword library; S205, identifying the compound keyword according to the incremental keyword library to obtain the target transmission keyword; S206 : Assign a value to the target transmission keyword based on a preset historical transmission keyword-score table to obtain a keyword score value.

[0023] As described in steps S201-S206 above, the present invention first obtains encoding information based on the current data transmission information, wherein the original data (such as text, instructions) is converted into binary or encoding information in a specific format (such as JSON, XML). At the same time, the original data may contain multiple formats (such as voice commands, sensor values), which need to be uniformly parsed through encoding to avoid semantic extraction errors caused by format differences. In this way, unstructured data can be converted into a structured form that can be processed by a computer, and standardized input is provided for subsequent semantic analysis, ensuring unified processing of different types of data; Then, based on the quantum convolutional neural network, real-time semantic feature extraction is performed on the encoded information to obtain compound keywords. Among them, the quantum convolutional neural network (QCNN) combines quantum computing and deep learning to improve parallel processing capabilities and extract semantic features in the data through convolution layers and pooling layers (such as "emergency" and "braking" in "emergency braking"). In this way, multi-dimensional semantic features can be extracted from the encoded information to generate compound keywords (such as "ADAS_emergency braking_tunnel"). At the same time, it can also accurately capture the core semantics of the data and distinguish between emergency scenarios and ordinary scenarios. Secondly, traditional neural networks (such as LSTM) have the problem of gradient disappearance when processing long sequence data, while QCNN improves feature extraction efficiency through quantum superposition state; then obtain the keywords of historical transmission, wherein the keywords of historical transmission are keywords in historical communication records retrieved from local or cloud databases, while ensuring the stability and continuity of the keyword library; Then, based on the web crawler, multiple real-time keywords of multiple vehicle groups are obtained, and the historically transmitted keywords are incremented based on the multiple real-time keywords to obtain an incremental keyword library. Among them, new keywords are integrated into the historical library through a vocabulary increment algorithm (such as TF-IDF) and outdated words are deleted. This ensures that the keyword library adapts to the real-time changing traffic environment and avoids the semantic recognition blind spots caused by static vocabulary. At the same time, the sharing of data among multiple vehicle groups improves the comprehensiveness of the keyword library. For example, when a vehicle in a certain area discovers the keyword "thick fog", the surrounding vehicles can be updated synchronously. Next, the compound keywords are identified based on the incremental keyword library to obtain the target transmission keywords. The identification method can use cosine similarity or BERT model to match the compound keywords with the vocabulary in the incremental library, and the real-time updated incremental library ensures that the recognition results are consistent with the current traffic environment; Then, the target transmission keyword is assigned a value based on a preset historical transmission keyword-score table to obtain a keyword score value. Among them, the preset table assigns a fixed priority to each keyword (such as "emergency braking" = 100 points, "navigation" = 50 points), and the score is adjusted based on the real-time scenario (such as "emergency braking" in a tunnel plus 20 points). This quantifies the urgency of the keyword and provides a numerical basis for subsequent priority calculations.

[0024] In one embodiment, the step S3 of obtaining the data transmission delay time and the data transmission stability index of the current data transmission information, and obtaining the time sensitivity value according to the data transmission delay time and the data transmission stability index includes: S301, obtaining the number of data transmissions sent during a preset time for the current data transmission information; S302, obtaining multiple current data reception durations of current data transmission information within a preset time; S303, sequentially calculating the difference between the preset data standard reception time and the multiple current data reception time to obtain multiple reception time differences, and accumulating the multiple reception time differences to obtain a total reception time difference; S304: Calculate an average delayed transmission duration based on the total reception duration difference and the number of data transmission transmissions, and use the average delayed transmission duration as the data transmission delay duration; S305, obtaining a start time for data transmission and a start time for data reception according to the preset time; S306. Calculate an average data reception duration based on the multiple current data reception durations, the start data transmission time, and the data reception time, wherein the calculation formula is: in, represents the average data reception duration, t1 represents the start data transmission time, t2 represents the data reception time, J(S) represents the current data reception duration, and n represents the number of data reception durations, where i = 1, 2, 3, ..., n; S307, calculate the standard data reception duration based on the multiple current data reception durations and the average data reception duration, where the calculation formula is: Wherein, B(Z) represents the standard data receiving duration, J(S) represents the oth data receiving duration, k represents the number of data receiving durations, and o represents the sequence number of the data receiving duration, where o=1, 2, 3...k. Indicates the average data receiving time; S308. Calculate an average-standard data reception duration ratio based on the average data reception duration and the standard data reception duration, where the calculation formula is: Among them, B(S) represents the ratio of average to standard data reception time, represents the average data reception time, and B(Z) represents the standard data reception time; S309, using the average-standard data reception time ratio as a data transmission stability index; S3010: Perform weighted calculation on the data transmission delay time and the data transmission stability index to obtain a comprehensive transmission impact value, and use the comprehensive transmission impact value as a time sensitivity value.

[0025] As described in steps S301-S3010 above, the present invention first obtains the number of data transmissions of the current data transmission information within a preset time, so that the frequency of data transmission can be quantified; Then, the reception time of multiple current data within the preset time period of the current data transmission information is obtained to generate time series data, which reflects the fluctuation of the transmission time period. At the same time, the reception time period directly reflects the transmission efficiency and is the core indicator for evaluating time sensitivity. Secondly, the difference between the preset data standard reception time period and the reception time period of multiple current data is calculated in sequence to obtain multiple reception time differences. The multiple reception time differences are accumulated to obtain the total reception time difference, and then the overall delay offset is quantified (the larger the total difference, the more serious the delay). At the same time, the total difference avoids the interference of a single fluctuation and more accurately reflects the delay situation within the preset time period. Then, the average delayed transmission duration is calculated based on the total reception time difference and the number of data transmissions, and the average delayed transmission duration is used as the data transmission delay duration. This can quantify the severity of the delay and be used for subsequent time sensitivity calculations. At the same time, the average delay is the core parameter of time sensitivity and directly affects priority sorting. Then, the starting data transmission time and the data receiving time are obtained according to the preset time, so as to ensure the accuracy of time calculation and obtain the required data within the effective time; Then, an average data reception duration is calculated based on the multiple current data reception durations, the start data transmission time, and the data reception time, so that the average data reception duration can be used as a benchmark value for subsequent stability calculations; Then, the standard data reception time is calculated based on the multiple current data reception time and the average data reception time. The standard deviation is a common indicator for measuring the degree of data dispersion and can effectively reflect the transmission stability. At the same time, the average-standard data reception time ratio is calculated based on the average data reception time and the standard data reception time. This can quantify the parameters and eliminate the dimension effect through the ratio, making it easier to integrate with other parameters. Then, the ratio of the average to standard data reception duration is used as the data transmission stability index, thereby quantifying the stability into a single value, which is convenient for subsequent calculations; Finally, the data transmission delay time and the data transmission stability index are weighted to obtain a comprehensive transmission impact value, and the comprehensive transmission impact value is used as the time sensitivity value, wherein the sum of the weights corresponding to the data transmission delay time and the data transmission stability index is equal to 1. This can balance the severity of the delay and the reliability of stability, ensuring that time-sensitive data is transmitted first. Among them, the delay directly affects the real-time performance (such as emergency braking requires low delay) and the stability reflects the transmission quality (high fluctuation may cause data retransmission and increase delay), and then the required dynamic requirements can be allocated according to environmental needs.

[0026] In one embodiment, the step S4 of obtaining the current environmental parameter information of the vehicle, wherein the current environmental parameter information includes a visibility index and a communication signal attenuation coefficient, and obtaining the environmental hazard risk value according to the visibility index and the communication signal attenuation coefficient, includes: S401. Obtain the laser emission intensity, laser reception intensity, and laser propagation distance of the vehicle-mounted laser radar to calculate the laser detection attenuation coefficient, where the calculation formula is: Among them, Xs represents the laser detection attenuation coefficient, R represents the laser propagation distance, I r Indicates the laser receiving intensity, I0 indicates the laser transmitting intensity; S402. Obtain multiple current receiving strength values and the number of receiving strength values of the communication signal within a preset time in the current environment; S403. Calculate multiple attenuation intensities according to the multiple current receiving strength values and the preset standard receiving strength value in sequence, accumulate the multiple attenuation intensities to obtain the total attenuation strength, and calculate the average attenuation strength according to the ratio of the total attenuation strength to the number of receiving strength values, and use the average attenuation strength as the communication signal attenuation coefficient; S404. Perform weighted calculation on the visibility index and the communication signal attenuation coefficient to obtain the environmental hazard risk value.

[0027] As described in steps S401-S404 above, the present invention first calculates the laser detection attenuation coefficient by obtaining the laser emission intensity, laser reception intensity, and laser propagation distance of the vehicle-mounted laser radar. This is done based on the relevant parameters of the laser radar to calculate a laser detection attenuation coefficient that reflects the degree of laser energy attenuation during propagation. For example, when the laser propagation distance is long and the reception intensity is low relative to the emission intensity, the calculated laser detection attenuation coefficient will be larger, directly reflecting the attenuation of the laser signal. The laser detection attenuation coefficient can also indirectly reflect the visibility of the vehicle's surroundings. Generally, the more severe the laser signal attenuation, the more likely there are obstructions or interference factors in the environment, and the lower the visibility. This provides data support for subsequently obtaining a more accurate visibility index. The formula is based on the principle of energy attenuation during laser propagation. The longer the laser propagation distance R, the greater the possibility of energy loss during propagation, which is negatively correlated with the laser detection attenuation coefficient, so R is placed in the denominator. For I r The relative relationship between the laser receiving intensity and the I0 laser emission intensity, when I r The smaller the laser receiving intensity is compared to the I0 laser emission intensity, the more the laser energy attenuates during the propagation process. The smaller the value (because ), the logarithmic function value is negative), and the preceding negative sign ensures that the laser detection attenuation coefficient σ is positive, which more intuitively reflects the degree of attenuation. That is, the more severe the energy attenuation during laser propagation, the larger the σ value. Then, multiple current receiving strength values and the number of receiving strength values of the communication signal within a preset time in the current environment are obtained. Such multiple data points can eliminate the accidental error of a single measurement, more comprehensively evaluate the communication environment, and provide the original data basis for the subsequent calculation of the signal attenuation coefficient; Then, multiple attenuation strengths are calculated based on the multiple current reception strength values and the preset standard reception strength value. The multiple attenuation strengths are accumulated to obtain a total attenuation strength. An average attenuation strength is calculated based on the ratio of the total attenuation strength to the number of reception strength values, and the average attenuation strength is used as the communication signal attenuation coefficient. In this way, the discrete reception strength values are converted into a comprehensive indicator reflecting the overall attenuation degree of the signal. For example, an average attenuation strength of 30% indicates poor signal quality. Finally, the visibility index and the communication signal attenuation coefficient are weighted to obtain the environmental hazard risk value. This comprehensively considers the impact of visibility and signal attenuation (for example, low visibility and poor signal in tunnels) to avoid outputting a single risk value. By taking both into account and performing a weighted calculation, the environmental hazard risk can be assessed more comprehensively and accurately, making the communication system more scientific and reasonable when deciding on the data transmission priority, ensuring the priority transmission of important data, and improving the reliability and stability of the communication system.

[0028] In one embodiment, the step S5 of obtaining the first comprehensive transmission priority value according to the keyword score value, the time sensitivity value, and the environmental hazard risk value includes: S501: Obtain a keyword score value vector according to the keyword score value, and normalize the keyword score value vector to obtain a normalized value of the keyword score value vector; S502: Obtain a time sensitivity value vector according to the time sensitivity value, and normalize the time sensitivity value vector to obtain a normalized value of the time sensitivity value vector; S503: Obtain an environmental hazard risk value vector according to the environmental hazard risk value, and normalize the environmental hazard risk value vector to obtain a normalized value of the environmental hazard risk value vector; S504, obtaining a bias reference value based on a back propagation algorithm; S505: Calculate a first comprehensive transmission priority value by using the normalized value of the keyword score value vector, the normalized value of the time sensitivity value vector, the normalized value of the environmental hazard risk value vector, and the bias reference value, wherein the calculation formula is: d(y)=σ[D(B)*w1+G(X)*w2+W(D)*(1-w1-w2)+E]; Among them, d(y) represents the first comprehensive transmission priority value, σ represents the activation function, such as ReLU or Sigmoid, D(B) represents the normalized value of the keyword score value vector, w1 represents the weight value of the normalized value of the keyword score value vector, G(X) represents the normalized value of the time sensitivity value vector, w2 represents the weight value of the normalized value of the time sensitivity value vector, W(D) represents the normalized value of the environmental hazard risk value vector, and E represents the bias reference value.

[0029] As described in steps S501-S505 above, the present invention first obtains a keyword score value vector based on the keyword score value, and then normalizes the keyword score value vector to obtain a normalized value of the keyword score value vector. This unifies the data scale and eliminates the impact of different keyword score values due to different dimensions and value ranges. This ensures that when calculating the first comprehensive transmission priority value, the contribution of each keyword score value to the result is comparable. This helps to more fairly and accurately evaluate the role of keyword scores in the comprehensive priority. Then, a time sensitivity value vector is obtained based on the time sensitivity value, and the time sensitivity value vector is normalized to obtain a normalized value of the time sensitivity value vector. The time sensitivity value is then converted into a vector to facilitate unified operations with other vectors. The normalization process ensures that the time sensitivity value is at the same magnitude when calculated together with other factors, and removes the scale difference of the original time sensitivity value caused by the calculation method. Secondly, an environmental hazard risk value vector is obtained based on the environmental hazard risk value, and the environmental hazard risk value vector is normalized to obtain a normalized value of the environmental hazard risk value vector. In this way, the environmental hazard risk value is converted into a vector form to facilitate mathematical operations with other vectors. Through normalization, the environmental hazard risk value is mapped to a unified interval, so that different environmental hazard risk values have the same measurement standard. Next, a bias reference value is obtained based on the back-propagation algorithm. The back-propagation algorithm minimizes the error between the predicted value and the true value by continuously adjusting the network weights, thereby obtaining a suitable bias reference value. This bias reference value can fine-tune the comprehensive calculation results to make the first comprehensive transmission priority value more in line with the actual situation. For example, during multiple training processes, the back-propagation algorithm continuously optimizes the bias reference value based on the input data and target output, so that the final calculated first comprehensive transmission priority value can more accurately reflect the actual priority of data transmission. At the same time, the bias reference value can make up for the possible deficiencies in calculating the first comprehensive transmission priority value by simply weighted calculation using keyword score values, time sensitivity values, and environmental hazard risk values. It takes into account the complex nonlinear relationship between different factors, so that the comprehensive calculation results are more in line with the data transmission needs in actual scenarios, and improve the accuracy and reliability of priority assessment; Finally, a first comprehensive transmission priority value is calculated by combining the normalized value of the keyword score vector, the normalized value of the time sensitivity vector, the normalized value of the environmental hazard risk vector, and the bias reference value. This combines multiple factors to obtain a first comprehensive transmission priority value that comprehensively reflects the priority of data transmission. For example, a specific value is calculated based on the weights and actual values of different factors, where a higher value indicates a higher priority for the data transmission.

[0030] In one embodiment, the step S7 of the on-board electronic device communicating a plurality of data transmission information according to the first integrated transmission priority value and a plurality of the second integrated transmission priority values further includes: S701. Acquire multiple corresponding timestamps according to the first integrated transmission priority value and the multiple second integrated transmission priority values; S702. Sort the first integrated transmission priority value and the multiple second integrated transmission priority values based on the multiple timestamps to obtain a sorted table of integrated transmission priority values; S703: Communicate and transmit multiple data transmission information based on the comprehensive transmission priority value sorting table.

[0031] As described in steps S701-S703 above, the present invention first obtains multiple corresponding timestamps based on the first integrated transmission priority value and multiple second integrated transmission priority values. The introduction of timestamps thus provides a temporal reference for the data transmission sequence. If the integrated transmission priority values are the same, the order of data transmission can be determined based on the timestamps, ensuring that the data generated or received first is transmitted first, conforming to the basic logic of data processing and avoiding data processing confusion. Then, the first integrated transmission priority value and the plurality of second integrated transmission priority values are sorted based on the plurality of timestamps to obtain a comprehensive transmission priority value sorting table. The comprehensive transmission priority value sorting table clearly shows the priority order of all data transmission information, provides clear guidance for data transmission of on-board electronic devices, ensures that important and urgent data can be transmitted first, and improves communication efficiency and system response speed; Finally, multiple data transmission information is communicated and transmitted based on the comprehensive transmission priority value sorting table, which ensures the rationality and efficiency of data transmission, and gives priority to transmitting data that has a greater impact on important aspects such as vehicle safety and driving performance, such as emergency braking instructions, key navigation information, etc., to avoid safety hazards or functional abnormalities in the vehicle due to improper data transmission order, and improves the reliability and stability of the on-board communication system. For example, the high-priority data ranked first is transmitted first, and then the data of the next priority is transmitted after completion until all data transmission is completed.

[0032] The present application also provides a communication system based on vehicle-mounted electronic equipment, comprising: A first acquisition module 1 is used to acquire a plurality of current data transmission information of the vehicle-mounted electronic device; A first extraction module 2 is configured to extract keywords from the current data transmission information to obtain target transmission keywords, and obtain corresponding keyword score values according to the target transmission keywords; A second acquisition module 3 is configured to acquire a data transmission delay time and a data transmission stability index of the current data transmission information, and acquire a time sensitivity value according to the data transmission delay time and the data transmission stability index; The third acquisition module 4 is used to obtain the current environmental parameter information of the vehicle, wherein the current environmental parameter information includes a visibility index and a communication signal attenuation coefficient, and obtain an environmental hazard risk value according to the visibility index and the communication signal attenuation coefficient; A fourth acquisition module 5 is configured to acquire a first comprehensive transmission priority value according to the keyword score value, the time sensitivity value, and the environmental hazard risk value; A second extraction module 6 is configured to repeat the steps of extracting keywords from the current data transmission information in sequence, obtaining a target transmission keyword, and obtaining a first comprehensive transmission priority value according to the keyword score value, the time sensitivity value, and the environmental hazard risk value, to obtain a plurality of second comprehensive transmission priority values; The first transmission module 7 is configured to transmit a plurality of data transmission information to the vehicle-mounted electronic device according to the first integrated transmission priority value and a plurality of the second integrated transmission priority values.

[0033] In one embodiment, the first extraction module includes: A first acquiring unit, configured to acquire coding information according to the current data transmission information; A first extraction unit is configured to perform real-time semantic feature extraction on the encoded information based on a quantum convolutional neural network to obtain compound keywords; A second acquiring unit is used to acquire keywords of historical transmissions; a third acquisition unit, configured to acquire a plurality of real-time keywords of a plurality of vehicle groups based on a web crawler, and perform vocabulary increment on the historically transmitted keywords based on the plurality of real-time keywords to obtain an incremental keyword library; The first recognition unit is used to recognize the compound keyword according to the incremental keyword library to obtain the target transmission keyword; the first assignment unit is used to assign the target transmission keyword based on a preset historical transmission keyword-score table to obtain a keyword score value.

[0034] The present application also provides a computer device, comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the above method when executing the computer program.

[0035] The present application also provides a computer-readable storage medium having a computer program stored thereon, which implements the steps of the above method when executed by a processor.

[0036] Those skilled in the art will appreciate that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media provided in this application and used in the embodiments may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (SSRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct RAMbus dynamic RAM (DRDRAM), and RAMbus dynamic RAM (RDRAM).

[0037] It should be noted that, in this document, the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, apparatus, article, or method comprising a series of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, apparatus, article, or method. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, apparatus, article, or method comprising the element.

[0038] The above description is only a preferred embodiment of the present invention and does not limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made by using the contents of the present invention description and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A communication method based on vehicle-mounted electronic equipment, characterized in that: include: Obtaining multiple current data transmission information of vehicle-mounted electronic equipment; Perform keyword extraction on the current data transmission information to obtain a target transmission keyword, and obtain a corresponding keyword score value according to the target transmission keyword; Acquire a data transmission delay time and a data transmission stability index of the current data transmission information, and acquire a time sensitivity value according to the data transmission delay time and the data transmission stability index; Acquiring current environmental parameter information of the vehicle, wherein the current environmental parameter information includes a visibility index and a communication signal attenuation coefficient, and acquiring an environmental hazard risk value according to the visibility index and the communication signal attenuation coefficient; Obtaining a first comprehensive transmission priority value according to the keyword score value, the time sensitivity value, and the environmental hazard risk value; Repeat the steps of extracting keywords from the current data transmission information to obtain target transmission keywords and obtaining a first comprehensive transmission priority value based on the keyword score value, time sensitivity value, and environmental hazard risk value on the remaining multiple current data transmission information to obtain multiple second comprehensive transmission priority values; The in-vehicle electronic device communicates and transmits a plurality of data transmission information according to the first integrated transmission priority value and a plurality of the second integrated transmission priority values.

2. The communication method based on vehicle-mounted electronic equipment according to claim 1, characterized in that: The step of obtaining a corresponding keyword score value according to the target transmission keyword includes: Acquiring encoding information according to the current data transmission information; Performing real-time semantic feature extraction on the encoded information based on a quantum convolutional neural network to obtain compound keywords; Get the keywords of historical transmission; Acquire multiple real-time keywords of multiple vehicle groups based on a web crawler, and perform vocabulary increment on the historically transmitted keywords based on the multiple real-time keywords to obtain an incremental keyword library; Identify the compound keywords according to the incremental keyword library to obtain target transmission keywords; The target transmission keyword is assigned a value based on a preset historical transmission keyword-score table to obtain a keyword score value.

3. The communication method based on vehicle-mounted electronic equipment according to claim 1, characterized in that: The step of obtaining the data transmission delay time and the data transmission stability index of the current data transmission information, and obtaining a time sensitivity value according to the data transmission delay time and the data transmission stability index includes: Get the number of data transmissions sent within the preset time period. Obtain multiple current data reception durations of current data transmission information within a preset time; Sequentially calculating the difference between a preset data standard reception time and a plurality of current data reception time differences to obtain a plurality of reception time differences, and accumulating the plurality of reception time differences to obtain a total reception time difference; Calculate an average delayed transmission duration based on the total reception time difference and the number of data transmission transmissions, and use the average delayed transmission duration as the data transmission delay duration; Acquire the start data transmission time and the data reception time according to the preset time; Calculate the average data reception duration based on the multiple current data reception durations, the start data transmission time and the data reception time; calculate the standard data reception duration based on the multiple current data reception durations and the average data reception duration; Calculating an average-standard data reception duration ratio according to the average data reception duration and the standard data reception duration; The average-standard data reception time ratio is used as a data transmission stability index; The data transmission delay time and the data transmission stability index are weightedly calculated to obtain a comprehensive transmission impact value, and the comprehensive transmission impact value is used as a time sensitivity value.

4. The communication method based on vehicle-mounted electronic equipment according to claim 1, characterized in that: The step of obtaining current environmental parameter information of the vehicle, wherein the current environmental parameter information includes a visibility index and a communication signal attenuation coefficient, and obtaining an environmental hazard risk value according to the visibility index and the communication signal attenuation coefficient, includes: Obtain the laser emission intensity, laser reception intensity, and laser propagation distance of the vehicle-mounted laser radar, and calculate the laser detection attenuation coefficient; obtain multiple current reception intensity values and the number of reception intensity values of the communication signal within a preset time in the current environment; Calculating multiple attenuation strengths according to the multiple current receiving strength values and the preset standard receiving strength value in sequence, accumulating the multiple attenuation strengths to obtain a total attenuation strength, and calculating an average attenuation strength according to the ratio of the total attenuation strength to the number of receiving strength values, and using the average attenuation strength as the communication signal attenuation coefficient, The visibility index and the communication signal attenuation coefficient are weighted and calculated to obtain an environmental hazard risk value.

5. The communication method based on vehicle-mounted electronic equipment according to claim 1, characterized in that: The step of obtaining a first comprehensive transmission priority value according to the keyword score value, the time sensitivity value, and the environmental hazard risk value includes: Obtaining a keyword score value vector according to the keyword score value, and normalizing the keyword score value vector to obtain a normalized value of the keyword score value vector; Obtaining a time sensitivity value vector according to the time sensitivity value, and normalizing the time sensitivity value vector to obtain a normalized value of the time sensitivity value vector; Obtaining an environmental hazard risk value vector according to the environmental hazard risk value, and normalizing the environmental hazard risk value vector to obtain a normalized value of the environmental hazard risk value vector; Obtain bias reference value based on back propagation algorithm; The keyword score value vector normalized value, the time sensitivity value vector normalized value, the environmental hazard risk value vector normalized value, and the bias reference value are calculated as a first comprehensive transmission priority value.

6. The communication method based on vehicle-mounted electronic equipment according to claim 1, characterized in that: The step of the on-vehicle electronic device communicating and transmitting a plurality of data transmission information according to the first integrated transmission priority value and a plurality of the second integrated transmission priority values further includes: Acquire a plurality of corresponding timestamps according to the first integrated transmission priority value and a plurality of the second integrated transmission priority values; Sorting the first integrated transmission priority value and the plurality of second integrated transmission priority values based on a plurality of timestamps to obtain an integrated transmission priority value sorting table; A plurality of data transmission information is communicated and transmitted based on the comprehensive transmission priority value sorting table.

7. A communication system based on vehicle-mounted electronic equipment, characterized in that: include: A first acquisition module is used to acquire a plurality of current data transmission information of the vehicle-mounted electronic device; a first extraction module, configured to extract keywords from the current data transmission information to obtain target transmission keywords, and obtain corresponding keyword score values according to the target transmission keywords; A second acquisition module is used to obtain the data transmission delay time and the data transmission stability index of the current data transmission information, and obtain a time sensitivity value according to the data transmission delay time and the data transmission stability index; a third acquisition module, configured to acquire current environmental parameter information of the vehicle, wherein the current environmental parameter information includes a visibility index and a communication signal attenuation coefficient, and acquire an environmental hazard risk value according to the visibility index and the communication signal attenuation coefficient; a fourth acquisition module, configured to acquire a first comprehensive transmission priority value according to the keyword score value, the time sensitivity value, and the environmental hazard risk value; a second extraction module, configured to sequentially repeat the steps of performing keyword extraction on the remaining multiple pieces of current data transmission information to obtain a target transmission keyword, and then obtain a first comprehensive transmission priority value based on the keyword score value, the time sensitivity value, and the environmental hazard risk value, to obtain multiple second comprehensive transmission priority values; The first transmission module is used for the vehicle-mounted electronic device to communicate and transmit multiple data transmission information according to the first integrated transmission priority value and multiple second integrated transmission priority values.

8. A communication system based on vehicle-mounted electronic equipment according to claim 7, characterized in that: The first extraction module includes: A first acquiring unit, configured to acquire coding information according to the current data transmission information; A first extraction unit is configured to perform real-time semantic feature extraction on the encoded information based on a quantum convolutional neural network to obtain compound keywords; A second acquiring unit is used to acquire keywords of historical transmissions; a third acquisition unit, configured to acquire a plurality of real-time keywords of a plurality of vehicle groups based on a web crawler, and perform vocabulary increment on the historically transmitted keywords based on the plurality of real-time keywords to obtain an incremental keyword library; The first recognition unit is used to recognize the compound keyword according to the incremental keyword library to obtain the target transmission keyword; the first assignment unit is used to assign the target transmission keyword based on a preset historical transmission keyword-score table to obtain a keyword score value.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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