Configuration system for dual-mode communication fusion based on efficiency demand analysis

Abstract

The present invention relates to the field of communication fusion configuration technology, which discloses a configuration system for dual-mode communication fusion based on efficiency demand analysis, including a data acquisition unit, a data processing unit, a data analysis unit, a communication configuration unit and a configuration decision unit. In the communication configuration of the present invention, the data analysis unit calculates the efficiency demand index, and the communication configuration unit performs dual-mode communication configuration based on the result of the comparison with the threshold value; when the demand is high, a mode with stable signal, low network load and high energy efficiency is adopted and the parameters are optimized; when the demand is low, it is switched to a low energy consumption mode and the parameters are adjusted to save energy. In this way, communication resources can be reasonably allocated according to actual needs, while ensuring the communication quality, the communication efficiency is improved and the energy consumption is reduced; at the same time, under low efficiency conditions, the influence degree of each data feature can be analyzed to make decisions, such as predicting the switching quality in terms of signal, and diverting data in terms of bandwidth to meet task requirements, thereby enhancing the adaptability and stability of the system.

Description

Technical Field

[0001] The present invention relates to the technical field of communication fusion configuration, and in particular to a configuration system for dual-mode communication fusion based on efficiency demand analysis. Background Art

[0002] In today's era of rapid digital development, communication systems play a vital role in all fields. With the increasing demand for communication and the continuous advancement of technology, there are increasingly higher requirements for the efficiency of communication systems. On the one hand, signal strength directly affects the stability and reliability of communication. In complex environments, signals may be weakened by interference, obstruction and other factors, resulting in interruption or error in data transmission.

[0003] On the other hand, the size of the network bandwidth determines the speed and capacity of data transmission. Application scenarios such as high-definition video transmission and large-scale data synchronization require sufficient network bandwidth to support. If the bandwidth is insufficient, it will cause data transmission delays and reduce work efficiency.

[0004] At the same time, equipment energy consumption is also a key factor. Especially for some devices that rely on battery power or have strict restrictions on energy consumption, such as wireless sensor network nodes and mobile smart devices, excessive energy consumption will shorten the use time of the equipment and increase maintenance costs.

[0005] Therefore, in order to improve the efficiency of the communication system and meet the needs in different scenarios, a configuration system for dual-mode communication fusion based on efficiency demand analysis is proposed. Summary of the invention

[0006] The purpose of the present invention is to provide a configuration system for dual-mode communication fusion based on efficiency demand analysis, which solves the technical problems raised in the background technology.

[0007] The purpose of the present invention can be achieved by the following technical solutions:

[0008] The configuration system of dual-mode communication fusion based on efficiency demand analysis includes:

[0009] A data collection unit, used to collect a variety of specified data features, including but not limited to signal strength data, network bandwidth data, and device energy consumption data;

[0010] Wherein, the data features are collected at a predetermined sampling frequency by a sensor connected to the communication device;

[0011] A data processing unit is used to perform normalization processing on a plurality of specified data features and obtain corresponding data feature normalization values ​​according to the processing results;

[0012] A data analysis unit, used to perform efficiency demand analysis on the data feature standardization values ​​corresponding to each specified data feature, and obtain an efficiency demand index according to the analysis result;

[0013] The communication configuration unit is used to perform dual-mode communication configuration according to the result obtained by the efficiency requirement evaluation unit.

[0014] As a further solution of the present invention: the normalization processing method is as follows:

[0015] Step S1.1, extract each specified data feature value and mark it as Ti, i=1, 2, ... n, n represents the number of data features;

[0016] Step S1.2, obtain the preset feature value interval corresponding to each specified data feature [T i,min ,T i,max ];

[0017] [T i,min It is expressed as the minimum value in the eigenvalue interval corresponding to the specified data feature, T i,max It is expressed as the maximum value in the eigenvalue interval corresponding to the specified data feature;

[0018] Step S1.3, selecting a specified data eigenvalue and its corresponding eigenvalue interval;

[0019] pass , calculate the data feature standardization value F corresponding to each specified data feature i .

[0020] As a further solution of the present invention: the efficiency demand analysis method is:

[0021] Step S2.1, extracting the data feature normalization value Fi corresponding to each specified data feature;

[0022] Step S2.2: , calculate the efficiency demand index X;

[0023] Among them, γ i is the corresponding preset weight coefficient.

[0024] As a further solution of the present invention: the dual-mode communication configuration is as follows:

[0025] Compare the efficiency requirement index X with the preset efficiency threshold Xy:

[0026] When X≥Xy, the efficiency requirement is judged to be high, and the communication mode with stable signal, low network load and high energy efficiency is preferentially selected; at the same time, the communication parameters are dynamically adjusted, such as increasing the transmission power and selecting a better channel coding method.

[0027] When X<Xy, balance communication stability and energy consumption and adopt moderate communication parameter configuration;

[0028] When X<Xy, the efficiency requirement is judged to be low, and the communication mode with lower energy consumption is selected first. At the same time, the communication parameters are dynamically adjusted, and the transmission power and data transmission rate can be appropriately reduced to reduce energy consumption. At the same time, a relatively idle frequency band is selected for communication according to the current network environment.

[0029] As a further solution of the present invention: also include:

[0030] A configuration decision unit is used to formulate a communication mode configuration strategy according to the efficiency demand index obtained by the efficiency demand analysis unit;

[0031] As a further solution of the present invention: the communication mode configuration strategy is formulated as follows:

[0032] First, the efficiency requirement index X is compared with the preset low efficiency threshold DXy:

[0033] When X<DXy, it is determined that the current communication is in a low-efficiency state, and the communication mode configuration strategy is formulated accordingly. Otherwise, the communication mode configuration strategy is not formulated;

[0034] At the same time, when X<DXy, analyze the influence of each data feature on efficiency, and make decision analysis based on the influence of different data features on efficiency;

[0035] As a further solution of the present invention: the analysis method of the degree of influence is as follows:

[0036] Step F1: Obtain the standardized value F corresponding to each specified data feature i ;

[0037] Step F2, obtaining the preset optimal data feature value corresponding to each designated data feature, and marking it as TY;

[0038] Step F3, by L=|F i -TY|, calculate the deviation L of each data feature;

[0039] Among them, the deviation of data features is the degree of influence of data features on efficiency;

[0040] As a further solution of the present invention: the decision analysis method is as follows:

[0041] Step SA1: Signal strength decision

[0042] First, the deviation of the data feature corresponding to the signal strength data is extracted and marked as LQ;

[0043] Then LQ is compared with the preset signal strength deviation threshold LQ y For comparison:

[0044] If LQ>LQ y When the signal strength is higher than the original signal strength, consider switching the communication mode to find a network with a stronger signal, and obtain the historical signal strength data in another communication mode;

[0045] Then, extract the data feature values ​​of m signal strength data from the historical signal strength data and mark them as TQ j , j = 1, 2, ... m;

[0046] Among them, m ranges from 6 to 10 and is determined according to the statistical period of historical data;

[0047] Then through , calculate the average value TQ of the data characteristic values ​​corresponding to the m signal strength data p ;

[0048] Then TQ p Add the preset compensation factor, and the result is the signal strength prediction value under another communication mode;

[0049] Then compare the signal strength prediction value under another communication mode with the data feature value corresponding to the signal strength data under the current mode:

[0050] If the signal strength prediction value in another communication mode is greater than the data characteristic value corresponding to the signal strength data in the current mode, switching the current communication mode to the other communication mode;

[0051] Step SA2: Network bandwidth decision

[0052] First, the deviation of the data feature corresponding to the network bandwidth data is extracted and marked as LW;

[0053] Then LW is compared with the preset network bandwidth deviation threshold LW y For comparison:

[0054] If LW>LW y , then obtain the task type of the current transmission task, and compare the task type with the preset bandwidth requirement table, and determine whether the bandwidth requirement of the current transmission task is high or low;

[0055] When it is determined according to the bandwidth requirement table that the current transmission task has a high bandwidth requirement, data is then transmitted through two communication modes; otherwise, data is not transmitted through two communication modes;

[0056] As a further solution of the present invention: the data split transmission mode is as follows:

[0057] First, the bandwidths of the current communication mode and another communication mode are obtained and marked as DW1 and DW2 respectively;

[0058] Then through , calculate the diversion ratio of the current communication mode:

[0059] Then divide the current transmission task into several data blocks;

[0060] pass , calculate the number of data blocks z1 transmitted in the current communication mode;

[0061] Where z is the number of data blocks that the current transmission task is divided into;

[0062] Then z1 data blocks are selected for transmission in the current communication mode, and then the remaining z-z1 data blocks are transmitted in another communication mode.

[0063] Beneficial effects of the present invention:

[0064] The present invention collects various data features through a data acquisition unit, obtains standardized values ​​using a specific normalization processing method, and provides an accurate and unified dimensional data basis for subsequent analysis. This enables the system to more accurately measure the actual conditions of different data features, avoid analysis errors caused by problems such as different data dimensions, and thus accurately grasp the system operation status.

[0065] In the present invention, the data analysis unit combines the weight coefficient to obtain the efficiency requirement index, and the communication configuration unit performs dual-mode communication configuration according to the comparison result between the index and the threshold. When the efficiency requirement is high, a mode with stable signal, low network load and high energy efficiency is selected and the parameters are optimized; when the efficiency requirement is low, a low energy consumption mode is selected and the parameters are adjusted to reduce energy consumption. This helps to reasonably allocate communication resources according to actual needs, improve communication efficiency, and reduce energy consumption while ensuring communication quality.

[0066] The present invention configures the decision-making unit to formulate strategies based on efficiency demand indicators, and makes decisions by analyzing the influence of each data feature under low efficiency conditions. For example, in terms of signal strength decision-making, the signal strength under another communication mode can be predicted based on the deviation and the mode can be switched to ensure signal quality; in terms of network bandwidth decision-making, data can be diverted and transmitted based on the task type and bandwidth requirements, improving bandwidth utilization, meeting different task requirements, and improving the adaptability and stability of the overall communication system. BRIEF DESCRIPTION OF THE DRAWINGS

[0067] The present invention will be further described below in conjunction with the accompanying drawings.

[0068] Figure 1It is a system block diagram of a configuration system for dual-mode communication fusion based on efficiency demand analysis of the present invention. DETAILED DESCRIPTION

[0069] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0070] Embodiment 1

[0071] See also Figure 1 As shown, the present invention is a configuration system for dual-mode communication fusion based on efficiency demand analysis. In this implementation, dual-mode communication refers to 4G communication and 5G communication modes. The system includes:

[0072] A data collection unit, used to collect a variety of specified data features, including but not limited to signal strength data, network bandwidth data, and device energy consumption data;

[0073] Wherein, the data features are collected at a predetermined sampling frequency by a sensor connected to the communication device;

[0074] A data processing unit is used to perform normalization processing on a plurality of specified data features and obtain corresponding data feature normalization values ​​according to the processing results;

[0075] The normalization process is as follows:

[0076] Step S1.1, extract each specified data feature value and mark it as Ti, i=1, 2, ... n, n represents the number of data features;

[0077] Step S1.2, obtain the preset feature value interval corresponding to each specified data feature [T i,min ,T i,max ];

[0078] [T i,min It is expressed as the minimum value in the eigenvalue interval corresponding to the specified data feature, T i,max It is expressed as the maximum value in the eigenvalue interval corresponding to the specified data feature;

[0079] Step S1.3, selecting a specified data eigenvalue and its corresponding eigenvalue interval;

[0080] pass , calculate the data feature standardization value F corresponding to each specified data feature i ;

[0081] Taking signal strength as an example, the minimum value in the corresponding characteristic value interval is subtracted from the signal strength value, and the result is recorded as the characteristic difference value;

[0082] At the same time, the maximum value in the eigenvalue interval corresponding to the specified data eigenvalue is subtracted from the minimum value, and the result is recorded as the characteristic range;

[0083] Then, the characteristic difference is divided by the characteristic range to obtain the data characteristic normalization value corresponding to the signal strength;

[0084] By analogy, the standardized values ​​corresponding to each specified data feature can be obtained;

[0085] A data analysis unit, used to perform efficiency demand analysis on the data feature standardization values ​​corresponding to each specified data feature, and obtain an efficiency demand index according to the analysis result;

[0086] The efficiency demand analysis method is:

[0087] Step S2.1, extracting the data feature normalization value Fi corresponding to each specified data feature;

[0088] Step S2.2, multiplying each data feature normalized value by the corresponding preset weight coefficient, then calculating the sum of all the products, and then recording the result as the efficiency requirement index;

[0089] The method is as follows: ;

[0090] Among them, X is the efficiency demand index, γ i is the corresponding preset weight coefficient;

[0091] A communication configuration unit, used for performing dual-mode communication configuration according to the result obtained by the efficiency demand evaluation unit;

[0092] The specific method is as follows:

[0093] Compare the efficiency requirement index X with the preset efficiency threshold Xy:

[0094] When X≥Xy, the efficiency requirement is judged to be high, and the communication mode with stable signal, low network load and high energy efficiency is preferentially selected; at the same time, the communication parameters are dynamically adjusted, such as increasing the transmission power and selecting a better channel coding method.

[0095] When X<Xy, balance communication stability and energy consumption and adopt moderate communication parameter configuration;

[0096] When X<Xy, the efficiency requirement is judged to be low, and the communication mode with lower energy consumption is selected first. At the same time, the communication parameters are dynamically adjusted, and the transmission power and data transmission rate can be appropriately reduced to reduce energy consumption. At the same time, a relatively idle frequency band is selected for communication according to the current network environment.

[0097] This embodiment can fully understand the communication environment by collecting and processing a variety of specified data features such as signal strength data, network bandwidth data, and device energy consumption data. Dual-mode communication configuration is performed based on efficiency demand indicators. When the efficiency demand is high, priority is given to communication modes with stable signals, low network load, and high energy efficiency, and communication parameters are adjusted dynamically to improve communication efficiency and quality; when the efficiency demand is low, priority is given to communication modes with low energy consumption, and communication parameters are adjusted dynamically to reduce energy consumption. At the same time, relatively idle frequency bands are selected for communication according to the network environment, which helps to reduce device energy consumption and extend the use time of the device.

[0098] Embodiment 2

[0099] As the second embodiment of the present invention, when the present application is implemented, compared with the first embodiment, the technical solution of the present embodiment is different from that of the first embodiment only in that the present embodiment further includes:

[0100] A configuration decision unit is used to formulate a communication mode configuration strategy according to the efficiency demand index obtained by the efficiency demand analysis unit;

[0101] The communication mode configuration strategy is formulated as follows:

[0102] First, the efficiency requirement index X is compared with the preset low efficiency threshold DXy:

[0103] When X<DXy, it is determined that the current communication is in a low-efficiency state, and the communication mode configuration strategy is formulated accordingly. Otherwise, the communication mode configuration strategy is not formulated;

[0104] At the same time, when X<DXy, analyze the influence of each data feature on efficiency, and make decision analysis based on the influence of different data features on efficiency.

[0105] The impact analysis is as follows:

[0106] Step F1: Obtain the standardized value F corresponding to each specified data feature i ;

[0107] Step F2, obtaining the preset optimal data feature value corresponding to each designated data feature, and marking it as TY;

[0108] Step F3, calculating the absolute value of the difference between the standardized value corresponding to each specified data feature and the corresponding optimal data feature value, and recording the calculation result as the deviation of each data feature;

[0109] The calculation method is: L=|F i -TY|

[0110] In the formula, L represents the calculated deviation of each data feature;

[0111] Among them, the deviation of data features is the degree of influence of data features on efficiency;

[0112] The decision analysis method is as follows:

[0113] Step SA1: Signal strength decision

[0114] First, the deviation of the data feature corresponding to the signal strength data is extracted and marked as LQ;

[0115] Then LQ is compared with the preset signal strength deviation threshold LQ y For comparison:

[0116] If LQ>LQ y When the signal strength is higher than the original signal strength, consider switching the communication mode to find a network with a stronger signal, and obtain the historical signal strength data in another communication mode;

[0117] Then, extract the data feature values ​​of m signal strength data from the historical signal strength data and mark them as TQ j , j = 1, 2, ... m;

[0118] Then, the average value of the data characteristic values ​​corresponding to the m signal strength data is calculated and recorded as the signal strength mean;

[0119] The calculation method is: ;

[0120] Where, TQ p It represents the average value of the data characteristic values ​​corresponding to the m signal strength data, that is, the mean signal strength;

[0121] Then TQ p Add the preset compensation factor, and the result is the signal strength prediction value under another communication mode;

[0122] Then compare the signal strength prediction value under another communication mode with the data feature value corresponding to the signal strength data under the current mode:

[0123] If the signal strength prediction value in another communication mode is greater than the data characteristic value corresponding to the signal strength data in the current mode, switching the current communication mode to the other communication mode;

[0124] If LQ≤LQ y When , it indicates that the deviation of the data characteristics corresponding to the current signal strength data is within an acceptable range, and the system does not consider switching the communication mode to find a network with a stronger signal;

[0125] Continue to maintain the current communication mode, and continue to monitor the deviation of the data characteristics corresponding to the signal strength data and the changes in the signal strength data itself; do not obtain the historical signal strength data of another communication mode, and do not perform subsequent calculations and comparisons of the predicted signal strength values ​​under another communication mode; continue to operate according to the current communication parameters and mode, and perform real-time evaluation based on the signal strength data continuously transmitted by the data acquisition unit. Once the value of LQ exceeds the threshold value LQy in subsequent monitoring, start the evaluation process of switching the communication mode;

[0126] Step SA2: Network bandwidth decision

[0127] First, the deviation of the data feature corresponding to the network bandwidth data is extracted and marked as LW;

[0128] Then LW is compared with the preset network bandwidth deviation threshold LW y For comparison:

[0129] If LW>LW y , then obtain the task type of the current transmission task, and compare the task type with the preset bandwidth requirement table, and determine whether the bandwidth requirement of the current transmission task is high or low;

[0130] When it is determined according to the bandwidth requirement table that the current transmission task has a high bandwidth requirement, data is then split and transmitted through two communication modes;

[0131] The specific method is as follows:

[0132] First, the bandwidths of the current communication mode and another communication mode are obtained and marked as DW1 and DW2 respectively;

[0133] Then through , calculate the diversion ratio of the current communication mode:

[0134] Then divide the current transmission task into several data blocks;

[0135] pass , calculate the number of data blocks z1 transmitted in the current communication mode;

[0136] Where z is the number of data blocks that the current transmission task is divided into;

[0137] Then z1 data blocks are selected for transmission in the current communication mode, and the remaining z-z1 data blocks are transmitted in another communication mode;

[0138] If LW ≤ LWy, it means that the deviation of the network bandwidth data corresponding to the data characteristics is within the normal range. At this time, there is no need to obtain the task type of the current transmission task and compare it with the preset bandwidth requirement table.

[0139] Continue to maintain the current communication mode and data transmission status, and do not perform data diversion transmission. Continue to monitor the deviation of network bandwidth data and its corresponding data characteristics. If the value of LW exceeds the threshold LWy during the subsequent monitoring process, start the operation process of obtaining task type, comparing with the bandwidth demand table, and considering data diversion transmission; at the same time, continue to monitor the changes in network bandwidth so that timely adjustments can be made when bandwidth resources fluctuate.

[0140] In this embodiment, the configuration decision unit formulates a communication mode configuration strategy according to the efficiency demand index, and can more accurately select the communication mode and adjust the parameters. When in a low-efficiency state, the influence of each data feature on the efficiency is analyzed, and decision analysis is performed to improve the intelligence level of the communication system. In terms of signal strength decision-making, when the signal strength deviation is large, consider switching the communication mode to find a network with a stronger signal, and compare the signal strength prediction value under another communication mode to achieve intelligent switching of communication modes, improve signal strength, and ensure communication stability. In terms of network bandwidth decision-making, when the network bandwidth deviation is large and the task has a high bandwidth demand, data is shunted and transmitted through two communication modes, making full use of the advantages of dual-mode communication, improving data transmission efficiency, and meeting the bandwidth requirements of different task types.

[0141] Embodiment 3

[0142] As the third embodiment of the present invention, when the present application is specifically implemented, compared with the first and second embodiments, the technical solution of this embodiment is to combine the solutions of the first and second embodiments mentioned above for implementation.

[0143] This embodiment combines the solutions of embodiment 1 and embodiment 2 to fully utilize the advantages of both. It not only realizes the dual-mode communication configuration based on efficiency requirements, but also has an intelligent configuration decision-making function, further improving the performance, efficiency and intelligence level of the communication system, and adapting to different communication scenario requirements.

[0144] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters and thresholds in the formula are set by technicians in this field according to actual conditions.

[0145] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A configuration system for dual-mode communication fusion based on efficiency demand analysis, characterized in that: include: A data collection unit, used to collect a variety of specified data features, including signal strength data, network bandwidth data, and device energy consumption data; A data processing unit is used to perform normalization processing on a plurality of specified data features and obtain corresponding data feature normalization values ​​according to the processing results; A data analysis unit, used to perform efficiency demand analysis on the data feature standardization values ​​corresponding to each specified data feature, and obtain an efficiency demand index according to the analysis result; The configuration decision unit is used to formulate a communication mode configuration strategy according to the efficiency demand index obtained by the data analysis unit; the communication mode configuration strategy is formulated as follows: First, the efficiency requirement index X is compared with the preset low efficiency threshold DXy: When X<DXy, it is determined that the current communication is in a low-efficiency state, and the communication mode configuration strategy is formulated accordingly. Otherwise, the communication mode configuration strategy is not formulated; At the same time, when X<DXy, analyze the influence of each data feature on efficiency, and make decision analysis based on the influence of different data features on efficiency; Among them, the decision analysis methods include: signal strength decision and network bandwidth decision; The impact analysis is as follows: First, obtain the standardized value Fi corresponding to each designated data feature, and the preset optimal data feature value TY corresponding to each designated data feature; Then, the absolute value of the difference between the standardized value Fi corresponding to each specified data feature and the corresponding optimal data feature value TY is calculated, and the calculation result is recorded as the deviation L of each data feature, which is used as a measure of the degree of influence of the data feature on efficiency; The communication configuration unit is used to perform dual-mode communication configuration according to the result obtained by the data analysis unit.

2. The configuration system for dual-mode communication fusion based on efficiency demand analysis according to claim 1 is characterized in that: The normalization process is as follows: Step S1.1, extracting each specified data feature value; Step S1.2, obtaining a preset feature value interval corresponding to each specified data feature; Step S1.3, selecting a specified data eigenvalue and its corresponding eigenvalue interval; Then, the specified data eigenvalue is subtracted from the minimum value in the corresponding eigenvalue interval, and the result is recorded as the eigenvalue difference; At the same time, the maximum value in the eigenvalue interval corresponding to the specified data eigenvalue is subtracted from the minimum value, and the result is recorded as the characteristic range; Then divide the characteristic difference by the characteristic range to obtain the corresponding data characteristic standardized value; Step S1.4, and so on, to obtain the standardized value corresponding to each specified data feature.

3. The configuration system for dual-mode communication fusion based on efficiency demand analysis according to claim 2 is characterized in that: The efficiency demand analysis method is: Step S2.1, extracting the data feature normalization value corresponding to each specified data feature; Step S2.2: Then, each data feature standardized value is multiplied by the corresponding preset weight coefficient, and then the sum of all the products is calculated, and the result is recorded as the efficiency requirement index X.

4. The configuration system for dual-mode communication fusion based on efficiency demand analysis according to claim 3 is characterized in that: The dual-mode communication configuration is as follows: Compare the efficiency requirement index X with the preset efficiency threshold Xy: When X≥Xy, it is determined that the efficiency requirement is high, and the communication mode with stable signal, low network load and high energy efficiency is preferentially selected; When X<Xy, it is determined that the efficiency requirement is low, and a communication mode with lower energy consumption is preferentially selected.

5. The configuration system for dual-mode communication fusion based on efficiency demand analysis according to claim 1 is characterized in that: Signal strength determination is done as follows: First, the deviation of the data feature corresponding to the signal strength data is extracted and marked as LQ; Then LQ is compared with the preset signal strength deviation threshold LQ y For comparison: If LQ>LQ y , then obtain the historical signal strength data in another communication mode; Then, extract the data feature values ​​of m consecutive signal strength data from the historical signal strength data; Then, the average value of the data characteristic values ​​corresponding to the m signal strength data is calculated and recorded as the signal strength mean; Then the preset compensation factor is added to the mean signal strength, and the result is the predicted signal strength value under another communication mode; Then compare the signal strength prediction value under another communication mode with the data feature value corresponding to the signal strength data under the current mode: If the signal strength prediction value in another communication mode is greater than the data characteristic value corresponding to the signal strength data in the current mode, the current communication mode is switched to the other communication mode.

6. The configuration system for dual-mode communication fusion based on efficiency demand analysis according to claim 1 is characterized in that: The network bandwidth decision is made as follows: First, the deviation of the data feature corresponding to the network bandwidth data is extracted and marked as LW; Then LW is compared with the preset network bandwidth deviation threshold LW y For comparison: If LW>LW y , then obtain the task type of the current transmission task, and compare the task type with the preset bandwidth requirement table, and determine whether the bandwidth requirement of the current transmission task is high or low; When it is determined according to the bandwidth requirement table that the current transmission task has a high bandwidth requirement, data is then transmitted via two communication modes; otherwise, data is not transmitted via two communication modes.

7. The configuration system for dual-mode communication fusion based on efficiency demand analysis according to claim 6 is characterized in that: The data split transmission method is as follows: First, the bandwidths of the current communication mode and another communication mode are obtained and marked as DW1 and DW2 respectively; Then through , calculate the diversion ratio of the current communication mode: Then divide the current transmission task into several data blocks; pass , calculate the number of data blocks z1 transmitted in the current communication mode; In the formula, z is the number of data blocks that the current transmission task is divided into; Then z1 data blocks are selected for transmission in the current communication mode, and then the remaining z-z1 data blocks are transmitted in another communication mode.

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