A communication data processing system based on the Internet of Things

Abstract

The invention discloses a communication data processing system based on the Internet of Things, relates to the technical field of communication data processing, and specifically comprises: a monitoring module, a communication data collection module, an evaluation module and a communication data processing module, wherein the monitoring module is used to monitor various environmental factors affecting communication, normalize various environmental factor data, and comprehensively set communication impact intensity indicators; the communication data collection module is used to collect communication data of a signal transmitting end of a base station of the Internet of Things, normalize various transmitting end communication data, and comprehensively set a state intensity indicator of the communication data; the evaluation module compares the communication impact intensity indicator and the state intensity indicator in the same time period to obtain an evaluation standard indicator; and the communication data processing module performs relevant processing on the affected Internet of Things communication data in the next time period based on the evaluation module.

Description

Technical Field

[0001] The present invention belongs to the technical field of communication data processing, and in particular relates to a communication data processing system based on the Internet of Things. Background Art

[0002] The communication processing of the Internet of Things requires a complex system that integrates multiple fields such as Internet technology, communication technology, sensor technology, cloud computing and big data technology, security and privacy protection technology, etc. The continuous development and improvement of these technologies have provided a solid foundation and guarantee for the popularization and application of the Internet of Things. With the continuous advancement and innovation of technology, the Internet of Things will play an important role in more fields and promote the sustainable development of social economy.

[0003] With the development of IoT technology, the number of IoT base stations continues to increase. In order to ensure the normal operation of IoT base stations, it is very important to detect and process the communication data of IoT in real time. IoT base stations may be deployed in various complex environments, such as cities, villages, and the wild. These environments may have electromagnetic interference, network attacks, noise and other interference factors.

[0004] The wide deployment of IoT base stations and the diversity of environments have brought many challenges, especially the various interference factors in complex environments, which pose a serious threat to the stability and reliability of IoT communications. How to determine the impact of various interference factors in complex environments on IoT communication data transmission and ensure the normal operation of IoT base stations is a crucial issue in the current IoT communication data adaptive processing technology. Summary of the invention

[0005] The purpose of the present invention is to provide a communication data processing system based on the Internet of Things, which is used to solve the technical problem in the prior art of how to determine the degree of influence of various interference factors in a complex environment on the communication data transmission of the Internet of Things.

[0006] In order to achieve the above object, the present invention adopts the following technical solutions:

[0007] A communication data processing system based on the Internet of Things specifically includes a monitoring module, a communication data collection module, an evaluation module and a communication data processing module;

[0008] The monitoring module is used to monitor various environmental factors that affect communication. Environmental factors include: interference signal strength, temperature and humidity coefficient and air quality index. The time period is divided into time periods by duration t, and all environmental factor data in each time period are normalized. The environmental factors in each time period are combined with the relevant parameters of the communication data transmitted in the same time period to determine the impact intensity of the communication data of the Internet of Things in each time period, and set the communication impact intensity index. The specific formula is as follows:

[0009] ;

[0010] Among them, YR represents the communication impact intensity index, n represents the nth time period, gr represents the interference signal strength, ws represents the temperature and humidity coefficient, api represents the air quality index, j(gr) represents the weight coefficient of the interference signal strength, j(ws) represents the weight coefficient of the temperature and humidity coefficient, j(api) represents the weight coefficient of the air quality index, and j(gr)+j(ws)+j(api)=1. The weight coefficient can be determined according to specific circumstances and needs, and is usually jointly formulated and confirmed by professionals or relevant stakeholders.

[0011] The specific formula for interference signal strength is as follows:

[0012] ;

[0013] Wherein, x represents the total number of interference signals appearing in the nth time period, i represents the i-th interference signal appearing in the nth time period, f(i) represents the signal amplitude value of the i-th interference signal, p(i) represents the frequency of the i-th interference signal, p(a) represents the frequency of the communication signal during the IoT communication data transmission process in the nth time period, t(i) represents the duration of the i-th interference signal, c(i) represents the impact factor of the i-th interference signal, c(i) is equal to 0 or 1, and the frequency impact threshold v is set according to |p(i)-p(a)|. When |p(i)-p(a)| is greater than or equal to v, c(i) is judged to be equal to 0, and in other cases, c(i) is judged to be equal to 1.

[0014] The communication data collection module is used to collect the communication data of the IoT base station signal transmitter. The communication data of the IoT base station signal transmitter includes the signal bit error rate, signal abnormality frequency and signal transmission rate. The time period is divided into time periods by duration t, and the communication data of the transmitter in each time period is normalized. The communication data of the IoT base station signal transmitter is integrated to determine the state strength index of the IoT base station signal transmitter communication data in each time period. The specific formula of the state strength index is as follows:

[0015] ;

[0016] Among them, ZT represents the state strength index of the communication data of the signal transmitting end of the IoT base station, n represents the nth time period, cs represents the signal transmission rate of the communication data of the signal transmitting end of the IoT base station, wm represents the signal bit error rate of the communication data of the signal transmitting end of the IoT base station, yc represents the signal abnormality frequency of the communication data of the signal transmitting end of the IoT base station, j(cs) represents the weight coefficient of the signal transmission rate, j(wm) represents the weight coefficient of the signal bit error rate, j(yc) represents the weight coefficient of the signal abnormality frequency, and j(cs)+j(wm)+j(yc)=1. The weight coefficient can be determined according to the specific situation and needs, and is usually jointly formulated and confirmed by professionals or relevant stakeholders.

[0017] The specific formula for the signal abnormal frequency is as follows:

[0018] ;

[0019] The preset signal frequency is determined based on the signal output power of the signal transmitting end of the IoT base station. The real-time signal frequency curve of the communication data is compared and determined to be a line segment above the preset signal frequency curve. sc(n) represents the area enclosed by the line segment and the preset signal frequency curve, and sf(n) represents the area enclosed by the preset signal frequency curve and the x-axis.

[0020] The evaluation module compares the communication impact strength index and the state strength index in the same time period to obtain the evaluation standard index. The specific formula is as follows:

[0021] ;

[0022] Among them, PG(n) represents the evaluation standard index in the nth time period, and r(n) represents the weather impact weight coefficient in the nth time period. The weight coefficient can be determined according to specific circumstances and needs, and is usually jointly formulated and confirmed by professionals or relevant stakeholders. In this embodiment, it is assumed that r(n)=1 under ideal weather conditions, where ideal weather conditions refer to weather conditions that have no effect or minimal effect on signal transmission.

[0023] According to the changes in the communication impact intensity index and the state intensity index in the first n time periods, the changes in the communication impact intensity index and the state intensity index in the n+1th time period are predicted. The specific formula of the prediction equation is as follows:

[0024] ;

[0025] in, It represents the model coefficient of the prediction equation, m represents the order of the prediction equation is m+1, and the changing trend of the evaluation standard indicators in the first n time periods is integrated. By adjusting the model coefficients of each order and the order of the prediction equation, the true value is compared with the predicted value. Based on the prediction accuracy of the prediction equation at different orders, the highest order of the prediction equation and the model coefficients of each order are determined.

[0026] A communication standard threshold is set. When the evaluation standard index within a certain time period is greater than or equal to the communication standard threshold, it is judged that the IoT communication data within the time period is affected. Otherwise, it is judged that the IoT communication data within the time period is normal and not affected.

[0027] The communication data processing module performs relevant processing on the IoT communication data affected in the next time period based on the evaluation module, retains the IoT communication data affected in the next time period, as well as the communication impact strength index and the state strength index in the time period, sets the communication impact strength index and the state strength index thresholds according to historical data and IoT base station standard parameters, and when the communication impact strength index is greater than or equal to the communication impact strength index threshold, uses the maximum signal transmission rate that the IoT base station transmitter can achieve, uses a communication protocol with a longer communication distance and lower power consumption, uses signal enhancement technology to improve signal transmission quality, adjusts the frequency and accuracy of signal transmission, and avoids communication data redundancy and increased energy consumption caused by excessive signal transmission;

[0028] When the state strength index is less than or equal to the state strength index threshold, introduce channel coding and error correction mechanism to reduce the signal bit error rate during data transmission, reduce the signal transmission rate, adjust the bandwidth, amplitude and frequency of the transmitted signal, inspect and repair the transmitting end of the IoT base station, and find out the reasons for the small state strength index.

[0029] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:

[0030] 1. The present invention sets the interference signal strength, establishes a communication impact strength index function, and determines the degree of impact on communication transmission in different time periods, so as to more reasonably allocate the Internet of Things network resources, and facilitates the selection of increasing the communication data transmission volume in the period with better communication quality, and reducing unnecessary communication data transmission in the period with poor communication quality;

[0031] 2. The present invention sets the signal abnormality frequency, establishes the state strength index function, and judges the quality status of communication transmission in different time periods, thereby reflecting the anti-interference performance of communication data. It can instantly understand the operation status of the communication system and quickly discover potential problems. By comparing the communication impact intensity index and the state strength index in the same time period, the processing method of the Internet of Things communication data can be adaptively judged to adapt to different interference environments and improve the anti-interference ability of the communication system. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. 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 creative work.

[0033] Figure 1 A flowchart of a communication data processing system based on the Internet of Things is shown;

[0034] Figure 2 An operation flow chart of a communication data processing system based on the Internet of Things is shown. DETAILED DESCRIPTION

[0035] 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.

[0036] like Figure 1 , Figure 2 As shown, the communication data processing system based on the Internet of Things provided in this embodiment specifically includes a monitoring module, a communication data collection module, an evaluation module and a communication data processing module;

[0037] The monitoring module is used to monitor various environmental factors that affect communication. Environmental factors include: interference signal strength, temperature and humidity coefficient and air quality index. The time period is divided into time periods by duration t, and all environmental factor data in each time period are normalized. The environmental factors in each time period are combined with the relevant parameters of the communication data transmitted in the same time period to determine the impact intensity of the communication data of the Internet of Things in each time period, and set the communication impact intensity index. The specific formula is as follows:

[0038] ;

[0039] Among them, YR represents the communication impact intensity index, n represents the nth time period, gr represents the interference signal strength, ws represents the temperature and humidity coefficient, api represents the air quality index, j(gr) represents the weight coefficient of the interference signal strength, j(ws) represents the weight coefficient of the temperature and humidity coefficient, j(api) represents the weight coefficient of the air quality index, and j(gr)+j(ws)+j(api)=1. The weight coefficient can be determined according to specific circumstances and needs, and is usually jointly formulated and confirmed by professionals or relevant stakeholders. In this embodiment, j(gr)=0.68, j(ws)=0.12, and j(api)=0.20 are set.

[0040] The specific formula for interference signal strength is as follows:

[0041] ;

[0042] Wherein, x represents the total number of interference signals appearing in the nth time period, i represents the i-th interference signal appearing in the nth time period, f(i) represents the signal amplitude value of the i-th interference signal, p(i) represents the frequency of the i-th interference signal, p(a) represents the frequency of the communication signal during the IoT communication data transmission process in the nth time period, t(i) represents the duration of the i-th interference signal, c(i) represents the impact factor of the i-th interference signal, c(i) is equal to 0 or 1, and the frequency impact threshold v is set according to |p(i)-p(a)|. When |p(i)-p(a)| is greater than or equal to v, c(i) is judged to be equal to 0, and in other cases, c(i) is judged to be equal to 1.

[0043] The communication data collection module is used to collect the communication data of the IoT base station signal transmitter. The communication data of the IoT base station signal transmitter includes the signal bit error rate, signal abnormality frequency and signal transmission rate. The time period is divided into time periods by duration t, and the communication data of the transmitter in each time period is normalized. The communication data of the IoT base station signal transmitter is integrated to determine the state strength index of the IoT base station signal transmitter communication data in each time period. The specific formula of the state strength index is as follows:

[0044] ;

[0045] Among them, ZT represents the state strength index of the communication data of the signal transmitting end of the Internet of Things base station, n represents the nth time period, cs represents the signal transmission rate of the communication data of the signal transmitting end of the Internet of Things base station, wm represents the signal bit error rate of the communication data of the signal transmitting end of the Internet of Things base station, yc represents the signal abnormality frequency of the communication data of the signal transmitting end of the Internet of Things base station, j(cs) represents the weight coefficient of the signal transmission rate, j(wm) represents the weight coefficient of the signal bit error rate, j(yc) represents the weight coefficient of the signal abnormality frequency, and j(cs)+j(wm)+j(yc)=1. The weight coefficient can be determined according to specific circumstances and needs, and is usually jointly formulated and confirmed by professionals or relevant stakeholders. In this embodiment, j(cs)=0.32, j(wm)=0.25, and j(yc)=0.43 are set.

[0046] The specific formula for the signal abnormal frequency is as follows:

[0047] ;

[0048] The preset signal frequency is determined based on the signal output power of the signal transmitting end of the IoT base station. The real-time signal frequency curve of the communication data is compared and determined to be a line segment above the preset signal frequency curve. sc(n) represents the area enclosed by the line segment and the preset signal frequency curve, and sf(n) represents the area enclosed by the preset signal frequency curve and the x-axis.

[0049] The evaluation module compares the communication impact strength index and the state strength index in the same time period to obtain the evaluation standard index. The specific formula is as follows:

[0050] ;

[0051] Among them, PG(n) represents the evaluation standard index in the nth time period, and r(n) represents the weather impact weight coefficient in the nth time period. The weight coefficient can be determined according to specific circumstances and needs, and is usually jointly formulated and confirmed by professionals or relevant stakeholders. In this embodiment, it is assumed that r(n)=1 under ideal weather conditions, where ideal weather conditions refer to weather conditions that have no effect or minimal effect on signal transmission.

[0052] According to the changes in the communication impact intensity index and the state intensity index in the first n time periods, the changes in the communication impact intensity index and the state intensity index in the n+1th time period are predicted. The specific formula of the prediction equation is as follows:

[0053] ;

[0054] in, It represents the model coefficient of the prediction equation, m represents the order of the prediction equation is m+1, and the changing trend of the evaluation standard indicators in the first n time periods is integrated. By adjusting the model coefficients of each order and the order of the prediction equation, the true value is compared with the predicted value. Based on the prediction accuracy of the prediction equation at different orders, the highest order of the prediction equation and the model coefficients of each order are determined.

[0055] A communication standard threshold is set. When the evaluation standard index within a certain time period is greater than or equal to the communication standard threshold, it is judged that the IoT communication data within the time period is affected. Otherwise, it is judged that the IoT communication data within the time period is normal and not affected.

[0056] The communication data processing module performs relevant processing on the IoT communication data affected in the next time period based on the evaluation module, retains the IoT communication data affected in the next time period, as well as the communication impact strength index and the state strength index in the time period, sets the communication impact strength index and the state strength index thresholds according to historical data and IoT base station standard parameters, and when the communication impact strength index is greater than or equal to the communication impact strength index threshold, uses the maximum signal transmission rate that can be achieved by the IoT base station transmitter, uses a communication protocol with a longer communication distance and lower power consumption, such as LoRaWAN, NB-IoT low-power wide area network technology, and uses signal enhancement technology, such as installing a signal amplifier and an antenna array at the transmitter to improve the signal transmission quality, adjust the frequency and accuracy of signal transmission, and avoid communication data redundancy and increased energy consumption caused by excessive signal transmission;

[0057] When the state strength index is less than or equal to the state strength index threshold, introduce channel coding and error correction mechanism to reduce the signal bit error rate during data transmission, reduce the signal transmission rate, adjust the bandwidth, amplitude and frequency of the transmitted signal, inspect and repair the transmitting end of the IoT base station, and find out the reasons for the small state strength index.

[0058] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

[0059] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A communication data processing system based on the Internet of Things, characterized in that: include: Monitoring module, communication data collection module, evaluation module and communication data processing module; The monitoring module is used to monitor various environmental factors that affect communication, normalize the data of various environmental factors, and comprehensively set communication impact intensity indicators to determine the impact intensity of the communication data of the Internet of Things in each time period; The communication data collection module is used to collect the communication data of the IoT base station signal transmitter, normalize the communication data of various transmitters, comprehensively set the state strength index of the communication data, and determine the state strength index of the communication data of the IoT base station signal transmitter in each time period; An evaluation module compares the communication impact strength index and the state strength index in the same time period to obtain an evaluation standard index; The communication data processing module performs relevant processing on the IoT communication data affected in the next time period based on the evaluation module, sets the communication impact intensity index and state intensity index thresholds according to historical data and IoT base station standard parameters, and performs classification processing through threshold judgment; The communication impact intensity index is set comprehensively. The specific method is as follows: The monitoring module monitors various environmental factors that affect communication, including interference signal strength, temperature and humidity coefficient, and air quality index. The time period is divided into time periods by duration t, and all environmental factor data in each time period are normalized. The formula Determine the communication impact strength index, where YR represents the communication impact strength index, n represents the nth time period, gr represents the interference signal strength, ws represents the temperature and humidity coefficient, api represents the air quality index, j(gr) represents the weight coefficient of the interference signal strength, j(ws) represents the weight coefficient of the temperature and humidity coefficient, j(api) represents the weight coefficient of the air quality index, and j(gr)+j(ws)+j(api)=1; Comprehensively set the status strength index of communication data. The specific method is as follows: Divide the time period by time length t, normalize the transmitter communication data in each time period, and integrate the IoT base station signal transmitter communication data to use the formula Determine the state strength index of the communication data of the IoT base station signal transmitter in each time period, where ZT represents the state strength index of the communication data of the IoT base station signal transmitter, n represents the nth time period, cs represents the signal transmission rate of the communication data of the IoT base station signal transmitter, wm represents the signal bit error rate of the communication data of the IoT base station signal transmitter, yc represents the signal abnormality frequency of the communication data of the IoT base station signal transmitter, j(cs) represents the weight coefficient of the signal transmission rate, j(wm) represents the weight coefficient of the signal bit error rate, j(yc) represents the weight coefficient of the signal abnormality frequency, and j(cs)+j(wm)+j(yc)=1.

2. A communication data processing system based on the Internet of Things according to claim 1, characterized in that: Interference signal strength, specific Includes the following: Using the formula represents the interference signal strength, where x represents the total number of interference signals occurring in the nth time period, i represents the i-th interference signal occurring in the nth time period, f(i) represents the signal amplitude value of the i-th interference signal, p(i) represents the frequency of the i-th interference signal, p(a) represents the frequency of the communication signal during the IoT communication data transmission process in the nth time period, t(i) represents the duration of the i-th interference signal, c(i) represents the impact factor of the i-th interference signal, c(i) is equal to 0 or 1, and the frequency impact threshold v is set according to |p(i)-p(a)|. When |p(i)-p(a)| is greater than or equal to v, c(i) is judged to be equal to 0, and in other cases, c(i) is judged to be equal to 1.

3. A communication data processing system based on the Internet of Things according to claim 1, characterized in that: Abnormal signal frequency, including the following: Using the formula It indicates the abnormal signal frequency. The preset signal frequency is determined based on the signal output power of the signal transmitting end of the IoT base station. The line segment of the real-time signal frequency curve of the communication data is determined to be above the preset signal frequency curve. sc(n) indicates the area enclosed by the line segment and the preset signal frequency curve. sf(n) indicates the area enclosed by the preset signal frequency curve and the x-axis.

4. A communication data processing system based on the Internet of Things according to claim 1, characterized in that: The evaluation standard index is obtained by comparing the communication impact intensity index and the state intensity index in the same time period. The specific method is as follows: Using the formula represents the evaluation standard index in the nth time period, where r(n) represents the weather impact weight coefficient in the nth time period, , based on the changes in the communication impact intensity index and the state intensity index in the first n time periods, predict the changes in the communication impact intensity index and the state intensity index in the n+1th time period.

5. A communication data processing system based on the Internet of Things according to claim 4, characterized in that: According to the changes of the communication impact intensity index and the state intensity index in the first n time periods, the changes of the communication impact intensity index and the state intensity index in the n+1th time period are predicted. The specific method is as follows: Using the formula represents the prediction equation, where It represents the model coefficient of the prediction equation, m represents the order of the prediction equation is m+1, and the changing trend of the evaluation standard indicators in the first n time periods is integrated. By adjusting the model coefficients of each order and the order of the prediction equation, the true value is compared with the predicted value. Based on the prediction accuracy of the prediction equation at different orders, the highest order of the prediction equation and the model coefficients of each order are determined.

6. A communication data processing system based on the Internet of Things according to claim 1, characterized in that: Based on the evaluation module, the IoT communication data affected in the next time period is processed. The specific method is as follows: Determine the IoT communication data affected in the next time period, as well as the communication impact strength index and state strength index in the time period, set the communication impact strength index and state strength index thresholds according to historical data and IoT base station standard parameters, and when the communication impact strength index is greater than or equal to the communication impact strength index threshold, use the maximum signal transmission rate that the IoT base station transmitter can achieve, select a low-power communication protocol that supports long-distance communication, use signal enhancement technology, and adjust the frequency and accuracy of signal transmission; When the status strength index is less than or equal to the status strength index threshold, the channel coding and error correction mechanism is introduced to reduce the signal transmission rate, adjust the bandwidth, amplitude and frequency of the transmitted signal, and inspect and repair the transmitting end of the IoT base station.

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