Information transmission method based on cloud computing

Abstract

The present invention discloses an information transmission method based on cloud computing, which belongs to the technical field of information transmission. The method comprises: acquiring information features of various information to be transmitted, and generating a data change chain of the information to be transmitted according to the information features; performing boundary simulation on the data change chain based on cloud computing to determine a target boundary line of the data change chain; generating a target data change chain according to the target boundary line, and performing corresponding processing on a sending end and an application end according to the target data change chain; matching the target data change chain according to the information to be transmitted, processing the information to be transmitted according to the target data change chain, and transmitting the processed information to be transmitted to the application end; determining the target data change chain by optimizing and analyzing the data change chain, thereby facilitating improvement of information transmission efficiency and processing efficiency, and simultaneously transmitting through intermediate data, which is also beneficial to security protection of transmitted information, and reducing the sensitivity of transmitted data.

Description

Technical Field

[0001] The present invention belongs to the technical field of information transmission, and in particular to an information transmission method based on cloud computing. Background Art

[0002] With the explosive growth of IoT devices, the deep penetration of AI applications, and the accelerated digital transformation of enterprises, global data volumes are expanding at an exponential rate. According to International Data Corporation (IDC), by 2025, the total global data volume will exceed 175 zettabytes (ZB), with over 60% of this data requiring storage, processing, and transmission in cloud computing environments. This trend poses unprecedented challenges to information transmission technology: achieving efficient, reliable, and cost-effective transmission in massive data scenarios while balancing resource consumption between the cloud and end devices has become a key bottleneck hindering the further expansion of cloud computing applications.

[0003] Therefore, how to achieve efficient information transmission has become a problem that needs to be solved in current information transmission, while making full use of resources between ends; based on this, the present invention provides an information transmission method based on cloud computing. Summary of the Invention

[0004] In order to solve the problems existing in the above solutions, the present invention provides an information transmission method based on cloud computing.

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] An information transmission method based on cloud computing, the method comprising:

[0007] Step 1: Acquire information features of various information to be transmitted, obtain the sender information and application information corresponding to the information to be transmitted based on the information features, and generate a data change chain for the information to be transmitted based on the application information and the sender information. The data change chain is used to represent the processing change process of the information to be transmitted;

[0008] Furthermore, the data change chain includes a starting point, a data change point and an end point, the number of the starting point and the end point are both one, and there are one or more data change points; the starting point corresponds to the information to be transmitted, and the end point corresponds to the target result data; the data change point is various data formed in the data processing process between the selected information and the target result data; the data change chain also includes a data processing boundary line.

[0009] Step 2: Based on cloud computing, a demarcation simulation is performed on the data change chain according to the application end information and the sending end information to determine the target demarcation line of the data change chain;

[0010] Furthermore, based on cloud computing, a demarcation simulation of the data change chain is performed according to the application-side information and the sending-side information, including:

[0011] Identify the data processing boundary in the data change chain, mark the data processing boundary as the initial boundary, and determine several simulated boundaries of the data change chain based on the initial boundary; perform feasibility assessment on each simulated boundary based on application end information and sending end information, and eliminate simulated boundaries that do not meet feasibility requirements;

[0012] The remaining simulated dividing lines and initial dividing lines are prioritized, and the simulated dividing line or initial dividing line with the highest priority is marked as the target dividing line.

[0013] Furthermore, feasibility assessment of each analog boundary is performed based on application-side information and transmitter-side information, including:

[0014] Establish a feasibility assessment model, generate a simulation data change chain based on the simulation dividing line, integrate the application end information, the sending end information and the simulation data change chain into assessment condition data, analyze the assessment condition data through the feasibility assessment model, and obtain the feasibility assessment results of the corresponding simulation data change chain.

[0015] Furthermore, the feasibility evaluation model is expressed as: ;

[0016] Where: s is the input data, representing the evaluation condition data, and the output data is the feasibility evaluation value KP(s), which is 1 or 0.

[0017] Furthermore, the feasibility assessment model is used to analyze the assessment condition data, including:

[0018] Input the evaluation condition data as input data into the feasibility evaluation model for analysis to obtain the feasibility evaluation value corresponding to the corresponding simulation data change chain;

[0019] When the feasibility assessment value is 1, the feasibility assessment result satisfies the feasibility requirements;

[0020] When the feasibility assessment value is 0, the feasibility assessment result does not meet the feasibility requirements.

[0021] Furthermore, the remaining simulated boundaries and initial boundaries are prioritized, including:

[0022] Generate a simulated data change chain based on the simulation boundary, mark the data change chain corresponding to the initial boundary as the basic data change chain, perform data processing simulation on the simulated data change chain and the basic data change chain, and obtain the simulated data processing time corresponding to the simulated data change chain and the basic data processing time corresponding to the basic data change chain; and estimate the resource utilization corresponding to the simulated data change chain and the basic data change chain respectively.

[0023] Calculate the priority value of the simulated data change chain according to the priority formula, and the priority formula is: ;

[0024] In the formula: YQ is the priority value, b1 and b2 are both proportionality coefficients, and the value range is 0 < b1 ≤ 1, 0 < b2 ≤ 1; LY is the resource utilization rate, HT0 represents the data processing basic time-consuming of the corresponding basic data change chain, and HT represents the data processing simulation time-consuming corresponding to the corresponding simulated data change chain;

[0025] The priority value of the basic data change chain is:

[0026] YQ0 = b1 × LY + b2;

[0027] Sort the corresponding simulated demarcation lines and initial demarcation lines in descending order according to the priority values of the simulated data change chain and the basic data change chain.

[0028] Furthermore, perform priority sorting on the remaining simulated demarcation lines and initial demarcation lines, including:

[0029] Generate a simulated data change chain according to the simulated demarcation line, mark the data change chain corresponding to the initial demarcation line as the basic data change chain, perform simulation analysis on the simulated data change chain and the basic data change chain, and obtain the data processing time-consuming and resource utilization rate corresponding to the simulated data change chain and the basic data change chain respectively;

[0030] Perform transmission security analysis on the simulated data change chain and the basic data change chain, and obtain the security values corresponding to the simulated data change chain and the basic data change chain;

[0031] Calculate the priority values of the simulated data change chain and the basic data change chain according to the priority formula, and the priority formula is: ;

[0032] In the formula: YQ´ is the priority value, b3, b4, and b5 are all proportionality coefficients, and the value range is 0 < b3 ≤ 1, 0 < b4 ≤ 1, 0 < b5 ≤ 1; LY´ is the resource utilization rate, HT0 represents the data processing time-consuming of the corresponding basic data change chain, x represents the data processing time-consuming corresponding to the corresponding simulated data change chain or basic data change chain; AQ is the security value;

[0033] Sort the corresponding simulated demarcation lines and initial demarcation lines in descending order according to the priority values of the simulated data change chain and the basic data change chain.

[0034] Step 3: Generate the target data change chain of the to-be-transmitted information according to the target demarcation line, and perform corresponding processing on the sending end and the application end according to the target data change chain. After processing, the sending end and the application end can perform data processing according to the target data change chain;

[0035] Step 4: Obtain the information to be transmitted in real time, match the corresponding target data change chain according to the information to be transmitted, determine the sending end's processing method for the information to be transmitted according to the target data change chain, process the information to be transmitted according to the processing method, and transmit the processed information to be transmitted to the application end.

[0036] Compared with the prior art, the present invention has the following beneficial effects:

[0037] The cloud computing-based information transmission method provided by the present invention can effectively solve the problem of information transmission in large-scale data scenarios, achieve efficient data transmission, meet the growing demand for data transmission, and break through the information transmission bottleneck caused by the sharp increase in data volume; by optimizing and analyzing the data change chain and determining the target data change chain, it is convenient to improve the information transmission efficiency and processing efficiency. At the same time, transmission through intermediate data is also beneficial to the security protection of transmitted information and reduces the sensitivity of transmitted data. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0039] Figure 1 Flow chart of the method of the present invention. DETAILED DESCRIPTION

[0040] The technical solutions of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the embodiments described are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0041] like Figure 1 As shown, the information transmission method based on cloud computing includes:

[0042] Step 1: Mark the text, picture, video and other information to be transmitted as the information to be transmitted; obtain the information characteristics of various information to be transmitted, which include information type, file size, sending end, application end, application purpose and other related characteristics. The sending end refers to the data end that sends the information to be transmitted, and the application end refers to the data end that receives the information to be transmitted and performs corresponding processing and application. For example, in temperature monitoring, the sending end sends the collected temperature data to the application end for equipment diagnosis and analysis. Its application purpose is to provide data basis for equipment diagnosis; that is, according to the various information to be transmitted determined by the sending end, different information to be transmitted is analyzed separately.

[0043] The sending end information and application end information are obtained based on the information characteristics. The sending end information and application end information are mainly related to information processing. For example, the sending end can use edge computing to perform corresponding processing on the information to be transmitted, then the corresponding related information such as the resources allowed to be applied is used. The application end processes the received data step by step until the application of the information to be transmitted is realized to achieve the application purpose. For example, the data changes from the information to be transmitted A to the realization of the application purpose are A→B→C→D, that is, data D is the final result data, such as the diagnostic result data of equipment monitoring; the application end information also includes related information such as the amount of processed data and efficiency.

[0044] The data change chain of the information to be transmitted is determined based on the application-side information and the sending-side information, such as A→B→C→D mentioned above. The intermediate process data of the data change chains B and C are regarded as data change points. The starting point and end point of the data change chain correspond to the information to be transmitted and the target result data, respectively. The data change point can be located at the sending end, that is, the corresponding data processing is performed at the sending end, such as the most common data preprocessing. For example, some data is processed at the sending end; the corresponding data processing boundary is marked in the data change chain, such as A→B indicates processing at the sending end, and B→C→D is processed at the application end, then a data processing boundary is generated at B to indicate at which data end the corresponding data processing process is processed; the data processing boundary is initially determined according to the data processing process currently actually applied, or the data processing boundary is determined according to the data processing process generally applied under current conditions.

[0045] For example, taking the common method of monitoring equipment failures through video surveillance, the data change chain is: monitoring video data → key frame sequence data → motion target detection data → equipment component spatiotemporal feature data → multimodal fusion feature data → abnormal pattern recognition data → fault type classification data → fault severity quantification data → fault diagnosis result data.

[0046] Step 2: Based on cloud computing, a demarcation simulation of the data change chain is performed according to the application-side information and the sending-side information to determine the target demarcation line of the data change chain, that is, the final data processing demarcation line.

[0047] In one embodiment, a data change chain is simulated based on application-side information and sending-side information based on cloud computing, including:

[0048] Identify the data processing boundary in the data change chain, mark the data processing boundary as the initial boundary, determine the data change chain based on the initial boundary, and obtain several simulated boundaries. For example, if the initial boundary is at B, the simulated boundaries can be set at A, C, and D. When it is at D, it means that the sending end will perform all processing on the data to be transmitted; perform a feasibility assessment on each simulated boundary based on the application end information and the sending end information, and eliminate the simulated boundaries that do not meet the feasibility requirements;

[0049] The remaining simulated dividing lines and initial dividing lines are prioritized, and the simulated dividing line or initial dividing line with the highest priority is marked as the target dividing line.

[0050] In one embodiment, a feasibility assessment is performed on each simulation boundary based on the application-side information and the sending-side information to determine whether the simulation boundary can be realized based on the application-side information and the sending-side information. For example, if the simulation boundary indicates that data A→B→C is processed at the sending end, but the computing power and other resources of the sending end cannot meet the corresponding processing process, the feasibility requirements are not met.

[0051] In one embodiment, feasibility evaluation of each analog boundary is performed based on application-side information and transmitter-side information, including:

[0052] Establish a feasibility assessment model, which is used to assess whether the corresponding simulation boundary line meets the feasibility requirements in the context of application-side information and sending-side information;

[0053] Generate a simulation data change chain based on the simulation dividing line, integrate the application end information, the sending end information and the simulation data change chain into evaluation condition data, analyze the evaluation condition data through the feasibility evaluation model, and determine whether the corresponding simulation data change chain meets the feasibility requirements; obtain the corresponding feasibility evaluation results.

[0054] In one embodiment, the feasibility assessment model is established based on existing intelligent assessment methods, such as commonly used machine learning, deep learning algorithms, etc., and corresponding training sets are set up using corresponding historical data for training and verification; and the feasibility requirements can also be supplemented with other requirements, such as comprehensive efficiency, cost and other requirements.

[0055] In one embodiment, the feasibility evaluation model is expressed as: ;

[0056] Where: s is the input data, representing the evaluation condition data, and the output data is the feasibility evaluation value KP(s), which is 1 or 0. A training set is established through the corresponding historical data for training. For example, various data that cannot be processed by the sending end and the application end are marked, and the data that can be processed are marked. The resources required for the corresponding data processing are counted, and then compared with the available resources of the sending end and the application end to determine whether the requirements are met.

[0057] In one embodiment, analyzing the evaluation condition data using the feasibility evaluation model includes:

[0058] Input the evaluation condition data as input data into the feasibility evaluation model for analysis to obtain the feasibility evaluation value corresponding to the corresponding simulation data change chain;

[0059] When the feasibility assessment value is 1, the feasibility assessment result satisfies the feasibility requirements;

[0060] When the feasibility assessment value is 0, the feasibility assessment result does not meet the feasibility requirements.

[0061] In one embodiment, the remaining simulation dividing lines and the initial dividing lines are prioritized. Priority evaluation can be performed based on existing priority evaluation methods, such as a comprehensive priority evaluation from the perspectives of data processing efficiency, cost, etc.; cloud computing can also be used for simulation to determine the priority based on the simulation results.

[0062] In one embodiment, prioritizing the remaining simulated boundaries and the initial boundary includes:

[0063] Generate a simulated data change chain based on the simulation dividing line, mark the data change chain corresponding to the initial dividing line as the basic data change chain, perform data processing simulation on the simulated data change chain and the basic data change chain, and obtain the simulated data processing time corresponding to the simulated data change chain and the basic data processing time corresponding to the basic data change chain, that is, determine the corresponding time according to the time corresponding to the data change chain from the beginning to the end using cloud computing or corresponding historical data; estimate the resource utilization corresponding to the simulated data change chain and the basic data change chain respectively, which means to compare the resource utilization of the sending end based on the resources required and the available resources to determine the resource utilization, or other methods can be used to determine the resource utilization;

[0064] The priority value of the simulation data change chain is calculated according to the priority formula. The priority formula is: ;

[0065] Where: YQ is the priority value, b1 and b2 are both proportionality coefficients, and the value ranges are 0 < b1 ≤ 1, 0 < b2 ≤ 1; LY is the resource utilization rate, HT0 represents the basic data processing time-consuming of the corresponding basic data change chain, and HT represents the data processing simulation time-consuming corresponding to the corresponding simulation data change chain; HT is not equal to 0. When HT is equal to 0, directly use the basic data change chain as the standard, that is, its priority is the highest;

[0066] The priority value of the basic data change chain is:

[0067] YQ0 = b1 × LY + b2;

[0068] Sort the corresponding simulation demarcation lines and initial demarcation lines in descending order according to the priority values of the simulation data change chain and the basic data change chain.

[0069] In one embodiment, the resource utilization rate in the above embodiment can be determined by combining the comprehensive resource utilization rates of the application side and the sending side.

[0070] In one embodiment, perform priority sorting on the remaining simulation demarcation lines and initial demarcation lines, and add a transmission security evaluation item on the basis of the above embodiment, that is, the transmission security of the information to be transmitted after being processed at the sending end, including:

[0071] Generate a simulation data change chain according to the simulation demarcation line, mark the data change chain corresponding to the initial demarcation line as the basic data change chain, perform simulation analysis on the simulation data change chain and the basic data change chain, and obtain the data processing time-consuming and resource utilization rate corresponding to the simulation data change chain and the basic data change chain respectively;

[0072] Conduct transmission security analysis on the simulated data change chain and the basic data change chain, that is, analyze the security of data transmission according to the data processed by the corresponding sending end in the simulated data change chain and the basic data change chain, which is represented by a security value. The security value is determined according to data types, sensitivities, transmission environments, encryption methods, etc. Among them, the transmission environment, encryption method, etc. are the same for each data, and are mainly affected by differences in data types and sensitivities. For example, if the information to be transmitted is customer information, the customer information is preliminarily analyzed and processed at the sending end to form intermediate data for analyzing customer preferences, resulting in a decrease in sensitivity and an increase in the security value. The security value can be determined by using the attack probability and cracking probability of the corresponding data in this transmission context. The lower limit of the security value is the probability product corresponding to an attack probability of 100% and a cracking probability of 100%, and the upper limit of the security value is the probability product corresponding to an attack probability of 0% and a cracking probability of 0%. That is, the value range of the probability product is [0, 1]. Other probability products are statistically calculated according to historical data, and the corresponding security value is determined by using the interpolation method. For example, if the product is 0.5, the security value is the middle value of the security value range. Exemplarily, the security value range is set to [0, 1], the product is 0.1, and the security value is 0.9; other methods can also be used to evaluate the security value, such as commonly using machine learning, deep learning algorithms, etc. to establish an intelligent model for intelligent evaluation. [[ID=,1]] [[ID=,2]]

[0073] [[ID=,3]]Calculate the priority values of the simulated data change chain and the basic data change chain according to the priority formula. The priority formula is: [[ID=,4]] [[ID=,5]]; [[ID=,6]] [[ID=,7]]

[0074] [[ID=,8]]In the formula: YQ´ is the priority value, b3, b4, and b5 are all proportionality coefficients, and the value range is 0 < b3 ≤ 1, 0 < b4 ≤ 1, 0 < b5 ≤ 1; LY´ is the resource utilization rate, HT0 represents the data processing time of the corresponding basic data change chain, and x represents the data processing time corresponding to the corresponding simulated data change chain or basic data change chain; AQ is the security value; [[ID=,9]] [[ID=,10]]

[0075] [[ID=,11]]Sort the corresponding simulated dividing line and the initial dividing line in descending order according to the priority values of the simulated data change chain and the basic data change chain. [[ID=,12]] [[ID=,13]]

[0076] [[ID=,14]]Through the optimization analysis of the data change chain, determine the target data change chain, which is convenient for improving the information transmission efficiency and processing efficiency. At the same time, through the transmission of intermediate data, it is also conducive to the security protection of the transmitted information; reduce the sensitivity of the transmitted data. [[ID=,15]] [[ID=,16]]

[0077] [[ID=,17]]Step 3: Generate the target data change chain of the corresponding information to be transmitted according to the target dividing line, and perform corresponding processing on the sending end and the application end according to the target data change chain, so that the corresponding sending end and application end can perform corresponding data processing; [[ID=,18]] [[ID=,19]]

[0078] Step 4: Obtain the information to be transmitted in real time, match the corresponding target data change chain according to the information to be transmitted, determine the sending end's processing method for the information to be transmitted based on the target data change chain, process the information to be transmitted according to the processing method, and send the processed information to be transmitted to the application end.

[0079] The above formulas are all calculated by removing dimensions and taking their numerical values. The formula is a formula that is closest to the actual situation obtained by collecting a large amount of data and performing software simulation. The preset parameters and preset thresholds in the formula are set by technicians in this field according to actual conditions or obtained by simulating a large amount of data.

[0080] The above embodiments are only used to illustrate the technical method of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A cloud computing-based information transmission method, characterized in that: The method includes: Step 1: Obtain the information characteristics of various pieces of information to be transmitted, obtain the sending-end information and application-end information corresponding to the information to be transmitted according to the information characteristics, and generate a data change chain of the information to be transmitted according to the application-end information and the sending-end information; Step 2: Perform boundary simulation on the data change chain according to the application-end information and the sending-end information, and determine the target boundary line of the data change chain; Step 3: Generate the target data change chain of the information to be transmitted according to the target boundary line, and perform corresponding processing on the sending end and the application end according to the target data change chain. After the processing, the sending end and the application end can perform data processing according to the target data change chain; Step 4: Obtain the information to be transmitted in real time, use the method of Steps 1 to 3 to determine the corresponding target data change chain according to the information to be transmitted, determine the processing method of the sending end for the information to be transmitted according to the target data change chain, process the information to be transmitted according to the processing method, and transmit the processed information to be transmitted to the application end; The data change chain includes a starting point, data change points, and an ending point. The number of starting points and ending points is one each, and the number of data change points is one or more; the starting point corresponds to the information to be transmitted, and the ending point corresponds to the target result data; the data change points are various data formed during the data processing process between the information to be transmitted and the target result data; The data change chain also includes a data processing boundary line; Performing boundary simulation on the data change chain according to the application-end information and the sending-end information includes: Identify the data processing boundary line in the data change chain, mark the data processing boundary line as the initial boundary line, and determine several simulated boundary lines of the data change chain according to the initial boundary line; perform feasibility evaluation on each simulated boundary line according to the application-end information and the sending-end information, and eliminate the simulated boundary lines that do not meet the feasible requirements; Perform priority sorting on the remaining simulated boundary lines and the initial boundary line, and mark the simulated boundary line or the initial boundary line with the highest priority as the target boundary line; Performing priority sorting on the remaining simulated boundary lines and the initial boundary line includes: Generate a simulated data change chain according to the simulated boundary line, mark the data change chain corresponding to the initial boundary line as the basic data change chain, perform data processing simulation on the simulated data change chain and the basic data change chain, and obtain the data processing simulation time corresponding to the simulated data change chain and the data processing basic time corresponding to the basic data change chain; estimate the resource utilization rates corresponding to the simulated data change chain and the basic data change chain respectively; The priority value of the simulation data change chain is calculated according to the priority formula. The priority formula is: ; In the formula: YQ is the priority value, b1 and b2 are both proportionality coefficients, and the value range is 0 < b1 ≤ 1, 0 < b2 ≤ 1; LY is the resource utilization rate, HT0 represents the data processing basic time of the corresponding basic data change chain, and HT represents the data processing simulation time corresponding to the corresponding simulated data change chain; The priority value of the basic data change chain is: YQ0 = b1 × LY + b2; Sort the corresponding simulated boundary lines and the initial boundary line in descending order according to the priority values of the simulated data change chain and the basic data change chain.

2. The cloud computing-based information transmission method according to claim 1, characterized in that: Performing feasibility evaluation on each simulated boundary line according to the application-end information and the sending-end information includes: A feasibility evaluation model is established. According to the simulated dividing line, a simulated data change chain is generated. The application - side information, the sending - side information, and the simulated data change chain are integrated into evaluation condition data. The evaluation condition data is analyzed through the feasibility evaluation model to obtain the feasibility evaluation result of the corresponding simulated data change chain.

3. The cloud computing-based information transmission method according to claim 2, characterized in that: The expression of the feasibility evaluation model is: ; In the formula: s is the input data, representing the evaluation condition data, and the output data is the feasibility evaluation value KP(s). The feasibility evaluation value is 1 or 0.

4. The cloud computing-based information transmission method according to claim 3, characterized in that: Analyzing the evaluation condition data through the feasibility evaluation model includes: Taking the evaluation condition data as the input data and inputting it into the feasibility evaluation model for analysis to obtain the feasibility evaluation value corresponding to the corresponding simulated data change chain; When the feasibility evaluation value is 1, the feasibility evaluation result is that the feasible requirements are met; When the feasibility evaluation value is 0, the feasibility evaluation result is that the feasible requirements are not met.

5. The cloud computing-based information transmission method according to claim 1, characterized in that: Performing a priority ranking on the remaining simulated dividing lines and the initial dividing lines, including: Generating a simulated data change chain according to the simulated dividing line, marking the data change chain corresponding to the initial dividing line as the basic data change chain, and conducting a simulation analysis on the simulated data change chain and the basic data change chain to obtain the data - processing time consumption and resource utilization rate corresponding to the simulated data change chain and the basic data change chain respectively; Conducting a transmission - security analysis on the simulated data change chain and the basic data change chain to obtain the security values corresponding to the simulated data change chain and the basic data change chain; The priority values ​​of the simulation data change chain and the basic data change chain are calculated according to the priority formula. The priority formula is: ; In the formula: YQ´ is the priority value, b3, b4, and b5 are all proportionality coefficients, and their value ranges are 0 < b3 ≤ 1, 0 < b4 ≤ 1, 0 < b5 ≤ 1; LY´ is the resource utilization rate, HT0 represents the data - processing time consumption of the corresponding basic data change chain, x represents the data - processing time consumption corresponding to the corresponding simulated data change chain or basic data change chain; AQ is the security value; Sorting the corresponding simulated dividing lines and initial dividing lines in descending order according to the priority values of the simulated data change chain and the basic data change chain.

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