A multimode intelligent communication system and method
By obtaining and evaluating the transmission efficiency and quality coefficients of multiple communication modes and selecting the appropriate communication mode, the problems of poor adaptability of existing intelligent communication systems in complex environments and underutilization of satellite communications were solved, and efficient and safe emergency communications were achieved.
Patent Information
- Application Number
- CN202411430673.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-10-14
- Publication Date
- 2025-10-17
- Estimated Expiration
- 2044-10-14
AI Technical Summary
Existing intelligent communication systems pay little attention to multi-mode communication, resulting in poor adaptability in complex or changing communication environments, untimely communication, reduced rescue rates, and insufficient utilization of the wide coverage and high reliability of satellite communications, affecting the efficiency and safety of emergency rescue.
The information acquisition module obtains environmental parameters and communication data, evaluates the transmission efficiency and quality coefficient of each communication mode, and uses the mode selection module to select the appropriate communication mode, including radio, cellular network and satellite communication, combined with the database to store safety thresholds and standard parameters.
It improves the flexibility and resource utilization of the system, enhances the security of emergency communications and the timeliness of rescue operations, reduces the danger in the disaster-stricken areas, and buys a time window for post-disaster reconstruction.
Smart Images

Figure CN119364328B_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of communication, in particular to a multi-mode intelligent communication system and method. BACKGROUND
[0002] With the continuous progress of science and technology and the development of society, people's demand for communication is getting higher and higher. The traditional single mode communication mode has not been able to meet the diversified needs of modern society. The multi-mode intelligent communication system is a new type of communication tool, which adopts a series of advanced technologies and plays a vital role in emergency communication. It can support seamless switching of multiple communication modes, provide multi-party voice conference and visual command and dispatch functions, support diversified terminal access methods, realize remote monitoring and real-time data transmission, and support multi-network integration and cross-system interconnection, providing more efficient and convenient communication services, so that users can choose the most suitable communication mode according to the actual situation, improve communication efficiency and reduce communication cost. Therefore, it is particularly important to invent a multi-mode intelligent communication system and method.
[0003] In the existing intelligent communication system, the following defects still exist, which are embodied in:
[0004] 1. In the existing intelligent communication system, the attention to multi-mode is not high. Such a single-mode intelligent communication system has limitations in function, poor adaptability when facing complex or variable communication environment, and difficult to deal with multiple situations, which may lead to delayed communication in emergency communication, reduce the rescue rate and increase the risk of disaster areas.
[0005] 2. In the existing intelligent communication system, the attention to satellite communication is not high, and the wide coverage and high reliability of satellite communication cannot be fully utilized, resulting in a significant reduction in communication efficiency in emergency rescue scenarios, and the safety of emergency communication also faces higher risks, reducing the timeliness and effectiveness of rescue operations. SUMMARY
[0006] The purpose of the present application is to provide a multi-mode intelligent communication system to solve the problems in the background art.
[0007] To solve the above technical problems, the technical scheme adopted by the present application is as follows: the present application provides a multi-mode intelligent communication system, comprising: an information acquisition module, configured to acquire the environmental humidity and electric field intensity of each monitoring time point of a target area, acquire the transmission power and feeder loss of each monitoring time point of a radio communication transmission source in the target area, acquire the signal-to-noise ratio of each monitoring time point of radio communication in the target area, acquire the signal strength, capacity and time delay of each monitoring time point of a cellular network in the target area, and acquire the bandwidth of the channel of each monitoring time point of satellite communication in the target area, the bit error rate and the response time length of each monitoring time point.
[0008] The information processing module is configured to evaluate the communication transmission efficiency loss coefficient of each monitoring time point of the target area, and further evaluate the signal strength coefficient of each monitoring time point of the radio communication of the target area, evaluate the transmission efficiency coefficient of each monitoring time point of the radio communication of the target area, evaluate the transmission efficiency coefficient of each monitoring time point of the cellular network of the target area, evaluate the transmission efficiency coefficient of each monitoring time point of the satellite communication of the target area, and evaluate the transmission quality coefficient of the radio communication, the cellular network and the satellite communication of the target area.
[0009] The mode selection module is configured to select a suitable communication mode of the target area based on the transmission quality coefficient of the radio communication, the cellular network and the satellite communication of the target area.
[0010] The database is configured to store a safe humidity range, a safe electric field intensity threshold, a standard transmission power of the radio communication, a preset feeder loss, a preset safe signal-to-noise ratio threshold, a preset safe signal intensity threshold, a preset safe bandwidth threshold, and a preset safe capacity threshold.
[0011] Preferably, the evaluation of the communication transmission efficiency loss coefficient of each monitoring time point of the target area is specifically analyzed by the following method: based on the environmental humidity and the electric field intensity of each monitoring time point of the target area, the communication transmission efficiency loss coefficient of each monitoring time point of the target area is calculated, and the calculation formula is wherein represents the communication transmission efficiency loss coefficient of the i-th monitoring time point of the target area, represents the environmental humidity of the i-th monitoring time point of the target area, represents the preset safe humidity range, represents the electric field intensity of the i-th monitoring time point of the target area, represents the preset safe electric field intensity threshold, represents a natural constant, and i represents the number of each monitoring time point, and j is a positive integer greater than 2.
[0012] Preferably, the evaluation of the signal strength coefficient of each monitoring time point of the radio communication of the target area is specifically analyzed by the following method: the transmission power of each monitoring time point of the radio communication transmission source of the target area is compared with the standard transmission power of the radio communication, and the feeder loss of each monitoring time point of the radio communication of the target area is compared with the preset feeder loss, and then the signal strength coefficient of each monitoring time point of the radio communication is evaluated, and the calculation formula is wherein represents the signal strength coefficient of the i-th monitoring time point of the radio communication, a transmission power of the i-th monitoring time point of a radio communication transmission source, a standard transmission power of a radio communication, a feeder loss of the i-th monitoring time point of a radio communication, a preset feeder loss.
[0013] Preferably, the transmission efficiency coefficient of each monitoring time point of the target area radio communication is evaluated, and the specific analysis method is that the signal-to-noise ratio of each monitoring time point of the target area radio communication is compared with a preset safe signal-to-noise ratio threshold, and the signal strength of each monitoring time point of the target area radio communication is combined to evaluate the transmission efficiency coefficient of each monitoring time point of the target area radio communication, and the calculation formula is , wherein a transmission efficiency coefficient of the i-th monitoring time point of the target area radio communication, a signal-to-noise ratio of the i-th monitoring time point of the target area radio communication, a preset safe signal-to-noise ratio threshold, a signal strength coefficient of the i-th monitoring time point of the target area radio communication.
[0014] Preferably, the transmission efficiency coefficient of each monitoring time point of the target area cellular network is evaluated, and the specific analysis method is that the signal strength of each monitoring time point of the target area cellular network, the capacity of each monitoring time point of the target area cellular network, and the delay of each monitoring time point of the target area cellular network are combined to evaluate the transmission efficiency coefficient of each monitoring time point of the target area cellular network, and the calculation formula is , wherein a transmission efficiency coefficient of the i-th monitoring time point of the target area cellular network, a signal strength of the i-th monitoring time point of the target area cellular network, a preset safe signal strength threshold, a capacity of the i-th monitoring time point of the target area cellular network, a preset reference capacity threshold, a delay of the i-th monitoring time point of the target area cellular network, a preset safe delay threshold.
[0015] Preferably, the transmission efficiency coefficient of each monitoring time point of the target area satellite communication is evaluated, and the specific analysis method is that the bandwidth of each monitoring time point of the channel of the target area satellite communication, the bit error rate of each monitoring time point of the target area satellite communication, and the response duration of each monitoring time point of the target area satellite communication are combined to evaluate the transmission efficiency coefficient of each monitoring time point of the target area satellite communication, and the calculation formula is wherein represents the transmission efficiency coefficient of the i th monitoring time point of the target area satellite communication, represents the bandwidth of the channel of the i th monitoring time point of the target area satellite communication, represents the preset safe bandwidth threshold, represents the bit error rate of the i th monitoring time point of the target area satellite communication, represents the preset safe bit error rate threshold, represents the response duration of the i th monitoring time point of the target area satellite communication, represents the preset safe response duration threshold.
[0016] Preferably, the transmission quality coefficient of the target area radio communication is evaluated, and the specific analysis method is as follows:
[0017] The transmission efficiency coefficient of each monitoring time point of the radio communication is extracted, the transmission rate of the radio communication is obtained, and then the transmission quality coefficient of the target area radio communication is evaluated, and the calculation formula is as follows: wherein represents the transmission quality coefficient of the target area radio communication, represents the transmission rate of the target area radio communication, represents the transmission reference rate.
[0018] Preferably, the target area suitable communication mode is screened out, and the specific analysis method is as follows: the transmission quality coefficient of the target area radio communication, the transmission quality coefficient of the target area cellular network and the transmission quality coefficient of the target area satellite communication are compared with each other, if the transmission quality coefficient of the target area radio communication is the largest, it is determined that the communication mode of the target area is radio communication, if the transmission quality coefficient of the target area cellular network is the largest, it is determined that the communication mode of the target area is cellular network, and if the transmission quality coefficient of the target area satellite communication is the largest, it is determined that the communication mode of the target area is satellite communication.
[0019] The second aspect of the present application provides a method for executing a multi-mode intelligent communication system as claimed in claims 1-8, comprising:
[0020] Step one, information acquisition, is used for acquiring the environmental humidity and electric field intensity of each monitoring time point of the target area, acquiring the transmission power and feeder loss of each monitoring time point of the target area radio communication transmission source, acquiring the signal-to-noise ratio of each monitoring time point of the target area radio communication, acquiring the signal strength, capacity and time delay of each monitoring time point of the target area cellular network, and acquiring the bandwidth of the channel of each monitoring time point of the target area satellite communication, the bit error rate and the response duration of each monitoring time point.
[0021] Step two, information processing, for evaluating the target area each monitoring time point of communication transmission efficiency loss coefficient, and then evaluating the target area each monitoring time point of radio communication signal strength coefficient, evaluating the target area each monitoring time point of transmission efficiency coefficient of radio communication, evaluating the target area each monitoring time point of transmission efficiency coefficient of cellular network, evaluating the target area each monitoring time point of transmission efficiency coefficient of satellite communication, evaluating the target area transmission quality coefficient of radio communication, cellular network and satellite communication.
[0022] Step three, mode selection, based on the transmission quality coefficient of radio communication, cellular network and satellite communication in the target area, the appropriate communication mode of the target area is screened out.
[0023] The beneficial effects of the present application are: 1. In the present application, the attention to multiple communication modes is improved, the appropriate communication mode can be selected flexibly according to the actual demand and environmental conditions to meet the data transmission demand in different scenes, the adaptability is strong, and the flexibility of the system is improved, the utilization rate of resources is improved, and the rescue rate is improved, and the danger of the disaster area is reduced.
[0024] 2. In the present application, the attention to satellite communication is improved, the information acquisition rate of rescue personnel is improved, the safety of emergency communication is improved, the timeliness and effectiveness of rescue action are improved, the rescue rate is improved, and the danger of the disaster area is reduced, which wins a valuable time window for post-disaster reconstruction and recovery work. BRIEF DESCRIPTION OF DRAWINGS
[0025] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiment or prior art description. Obviously, the drawings in the following description only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained without creative labor on the basis of these drawings.
[0026] Figure 1 The system structure connection diagram of the present application.
[0027] Figure 2 The method embodiment step flow diagram of the present application. DETAILED DESCRIPTION
[0028] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only some embodiments of the present application, not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.
[0029] Referring to Figure 1 As shown in the figure, the application provides a multi-mode intelligent communication system, comprising: an information acquisition module, used for acquiring environmental humidity and electric field intensity of each monitoring time point of a target area, acquiring transmission power and feeder loss of each monitoring time point of a radio communication transmission source of the target area, acquiring signal-to-noise ratio of each monitoring time point of radio communication of the target area, used for acquiring signal strength, capacity and time delay of each monitoring time point of a cellular network of the target area, and used for acquiring bandwidth of a channel of each monitoring time point and error code rate and response duration of each monitoring time point of satellite communication of the target area.
[0030] In the application, the attention to multiple communication modes is improved, and appropriate communication mode can be flexibly selected according to actual demand and environmental conditions to meet the data transmission demand in different scenarios, so that the adaptability is stronger, the flexibility of the system is improved, the utilization rate of resources is improved, the rescue rate is improved, and the danger of the disaster area is reduced.
[0031] It should be noted that the humidity sensor is used to acquire environmental humidity, the electric field intensity measuring instrument is used to acquire electric field intensity, the spectrum analyzer is used to acquire transmission power, signal-to-noise ratio and bandwidth of a channel, the network analyzer is used to acquire feeder loss, signal strength, capacity and time delay, the error code rate tester is used to acquire error code rate, and the response duration is calculated by measuring the time difference between the transmitted signal and the received signal.
[0032] An information processing module is used to evaluate communication transmission efficiency loss coefficients of each monitoring time point of the target area, and then evaluate signal strength coefficients of each monitoring time point of radio communication of the target area, evaluate transmission efficiency coefficients of each monitoring time point of radio communication of the target area, evaluate transmission efficiency coefficients of each monitoring time point of a cellular network of the target area, evaluate transmission efficiency coefficients of each monitoring time point of satellite communication of the target area, and evaluate transmission quality coefficients of radio communication, cellular network and satellite communication of the target area.
[0033] In one specific embodiment, the evaluation of the communication transmission efficiency loss coefficients of each monitoring time point of the target area is specifically analyzed as follows: based on the environmental humidity and electric field intensity of each monitoring time point of the target area, the communication transmission efficiency loss coefficients of each monitoring time point of the target area are calculated, and the calculation formula is, wherein represents the communication transmission efficiency loss coefficient of the i th monitoring time point of the target area, represents the environmental humidity of the i th monitoring time point of the target area, represents a preset safe humidity range, represents the electric field intensity of the i th monitoring time point of the target area, represents a preset safe electric field intensity threshold, represents a natural constant, i represents the number of each monitoring time point, j is a positive integer greater than 2.
[0034] It should be noted that the preset safe humidity range and the preset safe electric field intensity threshold are set by professionals according to the target area environment.
[0035] In one specific embodiment, the signal strength coefficient of the target area radio communication at each monitoring time point is evaluated, and the specific analysis method is: comparing the transmission power of the target area radio communication source at each monitoring time point with the standard transmission power of the radio communication, comparing the feeder loss of the target area radio communication at each monitoring time point with the preset feeder loss, and then evaluating the signal strength coefficient of the radio communication at each monitoring time point, and the calculation formula is, wherein represents the signal strength coefficient of the i-th monitoring time point of the radio communication, represents the transmission power of the i-th monitoring time point of the radio communication source, represents the standard transmission power of the radio communication, represents the feeder loss of the i-th monitoring time point of the radio communication, represents the preset feeder loss.
[0036] It should be noted that the preset feeder loss is set by professionals.
[0037] In one specific embodiment, the transmission efficiency coefficient of the target area radio communication at each monitoring time point is evaluated, and the specific analysis method is: comparing the signal-to-noise ratio of the target area radio communication at each monitoring time point with the preset safe signal-to-noise ratio threshold, and combining the signal strength of the target area radio communication at each monitoring time point, and then evaluating the transmission efficiency coefficient of the target area radio communication at each monitoring time point, and the calculation formula is, wherein represents the transmission efficiency coefficient of the i-th monitoring time point of the target area radio communication, represents the signal-to-noise ratio of the i-th monitoring time point of the target area radio communication, represents the preset safe signal-to-noise ratio threshold, represents the signal strength coefficient of the i-th monitoring time point of the target area radio communication.
[0038] It should be noted that the preset safe signal-to-noise ratio threshold is set by professionals.
[0039] In one specific embodiment, the transmission efficiency coefficient of each monitoring time point of the target area cellular network is evaluated, and the specific analysis method is: based on the signal strength of each monitoring time point of the target area cellular network, the capacity of each monitoring time point of the target area cellular network, and the latency of each monitoring time point of the target area cellular network, the transmission efficiency coefficient of each monitoring time point of the target area cellular network is evaluated, and the calculation formula is, wherein represents the transmission efficiency coefficient of the i-th monitoring time point of the target area cellular network, represents the signal strength of the i-th monitoring time point of the target area cellular network, represents a preset safe signal strength threshold, represents the capacity of the i-th monitoring time point of the target area cellular network, represents a preset reference capacity threshold, represents the latency of the i-th monitoring time point of the target area cellular network, represents a preset safe latency threshold.
[0040] It should be noted that the preset safe signal strength threshold, the preset reference capacity threshold, and the preset safe latency threshold are set by professionals.
[0041] In one specific embodiment, the transmission efficiency coefficient of each monitoring time point of the target area satellite communication is evaluated, and the specific analysis method is: based on the bandwidth of each monitoring time point of the channel of the target area satellite communication, the error code rate of each monitoring time point of the target area satellite communication, and the response duration of each monitoring time point of the target area satellite communication, the transmission efficiency coefficient of each monitoring time point of the target area satellite communication is evaluated, and the calculation formula is, wherein represents the transmission efficiency coefficient of the i-th monitoring time point of the target area satellite communication, represents the bandwidth of the i-th monitoring time point of the channel of the target area satellite communication, represents a preset safe bandwidth threshold, represents the error code rate of the i-th monitoring time point of the target area satellite communication, represents a preset safe error code rate threshold, represents the response duration of the i-th monitoring time point of the target area satellite communication, represents a preset safe response duration threshold.
[0042] The application improves the attention to satellite communication, improves the information acquisition rate of rescue personnel, improves the safety of emergency communication, and further improves the timeliness and effectiveness of rescue operations, improves the rescue rate, reduces the danger of the disaster area, and wins a valuable time window for post-disaster reconstruction and recovery work.
[0043] It should be noted that the preset safety bandwidth threshold, the preset safety error rate threshold and the preset safety response time threshold are set by professionals.
[0044] In one specific embodiment, the transmission quality coefficient of the target area radio communication is evaluated, and the specific analysis method is as follows:
[0045] The transmission efficiency coefficient of each monitoring time point of the radio communication is extracted, the transmission rate of the radio communication is obtained, and the transmission quality coefficient of the target area radio communication is evaluated, and the calculation formula is as follows, , wherein represents the transmission quality coefficient of the target area radio communication, represents the transmission rate of the target area radio communication, represents the transmission reference rate.
[0046] It should be noted that the transmission rate of the radio communication is obtained using a spectrum analyzer, and the transmission reference rate is set by professionals. Similarly, the transmission quality coefficients of the target area cellular network and satellite communication are obtained.
[0047] The mode selection module selects the appropriate communication mode of the target area based on the transmission quality coefficients of the target area radio communication, cellular network and satellite communication.
[0048] In one specific embodiment, the appropriate communication mode of the target area is selected, and the specific analysis method is as follows: the transmission quality coefficient of the target area radio communication, the transmission quality coefficient of the target area cellular network and the transmission quality coefficient of the target area satellite communication are compared with each other, if the transmission quality coefficient of the target area radio communication is the largest, it is determined that the communication mode of the target area is radio communication, if the transmission quality coefficient of the target area cellular network is the largest, it is determined that the communication mode of the target area is cellular network, and if the transmission quality coefficient of the target area satellite communication is the largest, it is determined that the communication mode of the target area is satellite communication.
[0049] The database is used to store the safe humidity range, the safe electric field intensity threshold, the standard transmission power of the radio communication, the preset feeder loss, the preset safety signal-to-noise ratio threshold, the preset safety signal strength threshold, the preset safety bandwidth threshold, the preset safety capacity threshold and the preset safety time delay threshold.
[0050] It needs to be explained that the information acquisition module is connected with the information processing module, the information processing module is connected with the mode selection module, and the information acquisition module, the information processing module and the mode selection module are connected with the database simultaneously.
[0051] Reference Figure 2 The second aspect of the application provides a method for executing the multi-mode intelligent communication system of claims 1-8, comprising:
[0052] Step one, information acquisition, is used for acquiring the environmental humidity and electric field intensity of each monitoring time point of the target area, acquiring the transmission power and feeder loss of each monitoring time point of the radio communication transmission source of the target area, acquiring the signal-to-noise ratio of each monitoring time point of the radio communication of the target area, acquiring the signal strength, capacity and time delay of each monitoring time point of the cellular network of the target area, and acquiring the bandwidth of each monitoring time point of the channel and the response time length of each monitoring time point of the satellite communication of the target area.
[0053] Step two, information processing, is used for evaluating the communication transmission efficiency loss coefficient of each monitoring time point of the target area, and further evaluating the signal strength coefficient of each monitoring time point of the radio communication of the target area, the transmission efficiency coefficient of each monitoring time point of the radio communication of the target area, the transmission efficiency coefficient of each monitoring time point of the cellular network of the target area, the transmission efficiency coefficient of each monitoring time point of the satellite communication of the target area, and the transmission quality coefficient of the radio communication, the cellular network and the satellite communication of the target area.
[0054] Step three, mode selection, is based on the transmission quality coefficient of the radio communication, the cellular network and the satellite communication of the target area to screen the appropriate communication mode of the target area.
[0055] The above content is only an example and description of the concept of the application, and those skilled in the art can make various modifications or supplements or use similar ways to replace the described specific embodiments, as long as they do not deviate from the concept of the application or exceed the scope defined by the application, which shall belong to the protection scope of the application.
Claims
1. A multi-mode intelligent communication system, characterized in that: include: An information acquisition module, configured to obtain the ambient humidity and electric field strength of the target area at each monitoring time point, the transmission power and feeder loss of the radio communication transmission source in the target area at each monitoring time point, the signal-to-noise ratio of the radio communication in the target area at each monitoring time point, the signal strength, capacity, and delay of the cellular network in the target area at each monitoring time point, and the bandwidth, bit error rate, and response time of the channel of the satellite communication in the target area at each monitoring time point; an information processing module for evaluating the communication transmission efficiency loss coefficient at each monitoring time point in the target area, and further evaluating the signal strength coefficient of the radio communication at each monitoring time point in the target area, evaluating the transmission efficiency coefficient of the radio communication at each monitoring time point in the target area, evaluating the transmission efficiency coefficient of the cellular network at each monitoring time point in the target area, evaluating the transmission efficiency coefficient of the satellite communication at each monitoring time point in the target area, and evaluating the transmission quality coefficients of the radio communication, cellular network, and satellite communication in the target area; The transmission quality coefficient of the radio communication in the target area is evaluated by the following specific analysis method: Extract the transmission efficiency coefficient of radio communication at each monitoring time point, obtain the transmission rate of radio communication, and then evaluate the transmission quality coefficient of radio communication in the target area. The calculation formula is: ,in Indicates the transmission quality coefficient of radio communication in the target area, Indicates the transmission rate of radio communication in the target area, Indicates the transmission reference rate, represents the transmission efficiency coefficient of the radio communication in the target area at the i-th monitoring time point; It should be noted that the transmission rate of radio communication is obtained using a spectrum analyzer. The transmission reference rate is set by professionals. Similarly, the transmission quality coefficient of the cellular network and satellite communication in the target area is obtained; A mode selection module selects the appropriate communication mode for the target area based on the transmission quality coefficients of radio communication, cellular network, and satellite communication in the target area; The database is used to store a safe humidity range, a safe electric field strength threshold, a standard transmission power for radio communications, a preset feeder loss, a preset safe signal-to-noise ratio threshold, a preset safe signal strength threshold, a preset safe bandwidth threshold, a preset safe capacity threshold, and a preset safe delay threshold.
2. A multi-mode intelligent communication system according to claim 1, characterized in that: The communication transmission efficiency loss coefficient at each monitoring time point in the evaluation target area is analyzed in the following specific way: Based on the ambient humidity and electric field strength at each monitoring time point in the target area, the communication transmission efficiency loss coefficient at each monitoring time point in the target area is calculated. The calculation formula is: ,in represents the communication transmission efficiency loss coefficient of the target area at the i-th monitoring time point, represents the ambient humidity of the target area at the i-th monitoring time point, Indicates the preset safe humidity range. represents the electric field intensity of the target area at the i-th monitoring time point, Indicates the preset safety electric field strength threshold, represents the natural constant, i represents the number of each monitoring time point, , j is a positive integer greater than 2.
3. A multi-mode intelligent communication system according to claim 2, characterized in that: The signal strength coefficient of each monitoring time point of the radio communication in the target area is evaluated by the following specific analysis method: Compare the transmission power of the radio communication source at each monitoring time point in the target area with the standard transmission power of the radio communication, and compare the feeder loss at each monitoring time point in the target area with the preset feeder loss, and then evaluate the signal strength coefficient of the radio communication at each monitoring time point. The calculation formula is: ,in represents the signal strength coefficient of the radio communication at the i-th monitoring time point, represents the transmission power of the radio communication transmission source at the i-th monitoring time point, Indicates the standard transmission power of radio communication. represents the feeder loss at the ith monitoring time point of radio communication, Indicates the preset feeder loss.
4. A multi-mode intelligent communication system according to claim 3, characterized in that: The transmission efficiency coefficient of each monitoring time point of the radio communication in the target area is evaluated by the following specific analysis method: The signal-to-noise ratio of each monitoring time point of the radio communication in the target area is compared with the preset safety signal-to-noise ratio threshold, and the transmission efficiency coefficient of each monitoring time point of the radio communication in the target area is evaluated by combining the signal strength of each monitoring time point of the radio communication in the target area. The calculation formula is: ,in represents the transmission efficiency coefficient of the radio communication in the target area at the i-th monitoring time point, represents the signal-to-noise ratio of the radio communication in the target area at the i-th monitoring time point, Indicates the preset safety signal-to-noise ratio threshold, Represents the signal strength coefficient of the radio communication in the target area at the i-th monitoring time point.
5. A multi-mode intelligent communication system according to claim 2, characterized in that: The transmission efficiency coefficient of the cellular network in the target area is evaluated at each monitoring time point. The specific analysis method is as follows: Based on the signal strength of the target area cellular network at each monitoring time point, the capacity of the target area cellular network at each monitoring time point, and the delay of the target area cellular network at each monitoring time point, the transmission efficiency coefficient of the target area cellular network at each monitoring time point is evaluated. The calculation formula is: ,in represents the transmission efficiency coefficient of the cellular network in the target area at the i-th monitoring time point, represents the signal strength of the cellular network in the target area at the i-th monitoring time point, Indicates the preset safety signal strength threshold, represents the capacity of the cellular network in the target area at the i-th monitoring time point, Indicates the preset reference capacity threshold, represents the delay of the cellular network in the target area at the i-th monitoring time point, Indicates the preset safety delay threshold.
6. A multi-mode intelligent communication system according to claim 2, characterized in that: The transmission efficiency coefficient of each monitoring time point of the evaluation target area satellite communication is analyzed in the following specific method: Based on the bandwidth of the target area satellite communication channel at each monitoring time point, the bit error rate of the target area satellite communication at each monitoring time point, and the response time of the target area satellite communication at each monitoring time point, the transmission efficiency coefficient of the target area satellite communication at each monitoring time point is evaluated. The calculation formula is: ,in represents the transmission efficiency coefficient of the satellite communication in the target area at the i-th monitoring time point, represents the bandwidth of the satellite communication channel in the target area at the i-th monitoring time point, Indicates the preset safe bandwidth threshold. represents the bit error rate of the i-th monitoring time point of the satellite communication in the target area, Indicates the preset safety bit error rate threshold, represents the response time of the i-th monitoring time point of the satellite communication in the target area, Indicates the preset security response time threshold.
7. A multi-mode intelligent communication system according to claim 1, characterized in that: The screening process obtains the appropriate communication mode for the target area. The specific analysis method is as follows: The transmission quality coefficients of radio communication in the target area, the transmission quality coefficients of the cellular network in the target area, and the transmission quality coefficients of satellite communication in the target area are compared with each other. If the transmission quality coefficient of radio communication in the target area is the largest, the communication mode of the target area is determined to be radio communication. If the transmission quality coefficient of the cellular network in the target area is the largest, the communication mode of the target area is determined to be cellular network. If the transmission quality coefficient of satellite communication in the target area is the largest, the communication mode of the target area is determined to be satellite communication.
8. A method for executing a multi-mode intelligent communication system according to any one of claims 1 to 7, characterized in that: include: Step 1: Information acquisition, used to obtain the ambient humidity and electric field strength of the target area at each monitoring time point, obtain the transmission power and feeder loss of the radio communication transmission source in the target area at each monitoring time point, obtain the signal-to-noise ratio of the radio communication in the target area at each monitoring time point, obtain the signal strength, capacity and delay of the cellular network in the target area at each monitoring time point, and obtain the channel bandwidth, bit error rate and response time of the satellite communication in the target area at each monitoring time point; Step 2: Information processing, used to evaluate the communication transmission efficiency loss coefficient at each monitoring time point in the target area, and further evaluate the signal strength coefficient of the radio communication at each monitoring time point in the target area, evaluate the transmission efficiency coefficient of the radio communication at each monitoring time point in the target area, evaluate the transmission efficiency coefficient of the cellular network at each monitoring time point in the target area, evaluate the transmission efficiency coefficient of the satellite communication at each monitoring time point in the target area, and evaluate the transmission quality coefficients of the radio communication, cellular network, and satellite communication in the target area; Step 3: Mode selection: Based on the transmission quality coefficients of radio communication, cellular network and satellite communication in the target area, the appropriate communication mode for the target area is screened.
Citation Information
Patent Citations
Train control system based on satellite communication and public cellular communication
CN104875773A
Communication processing method and system based on big data
CN116704822A