An Internet cloud data transmission supervision system based on traffic monitoring

Abstract

The present invention relates to the technical field of data transmission supervision, and in particular to an Internet cloud data transmission supervision system based on traffic monitoring, comprising a transmission supervision platform, an information collection unit, a channel environment analysis unit, a channel supervision unit, a transmission visualization unit, a stability evaluation unit and a transmission management unit; the present invention analyzes the traffic of a transmission network channel in combination with the network environment and the transmission performance to reduce the interference risk and the risk of affecting the transmission efficiency of the transmission network channel, thereby facilitating reasonable and targeted management of the transmission network channel to improve the transmission smoothness and stability of the transmission network channel, and performs information fusion processing and analysis by means of information feedback and information fusion, and intuitively understands the stability and transmission quality of the transmission network channel by means of text feedback, so as to manage the transmission network channel in a timely manner to improve the reliability of cloud data transmission.

Description

Technical Field

[0001] The present invention relates to the technical field of data transmission supervision, and in particular to an Internet cloud data transmission supervision system based on traffic monitoring. Background Art

[0002] With the continuous development of the Internet, network data transmission management technology is also changing with each passing day. Various new technologies emerge in an endless stream, bringing many conveniences to people's lives. However, the privacy and security involved in network data transmission are also

[0003] With the popularization and development of the Internet, network data transmission has become an indispensable part of people's daily life and work, and network data transmission management technology is also changing with each passing day. Various new technologies emerge in an endless stream, bringing many conveniences to people's lives. However, due to the complex and changeable network environment, the stability of network data transmission has gradually surfaced;

[0004] As people's demand for network transmission efficiency and flow control is getting higher and higher, however, in the existing network data transmission management technology, it is impossible to supervise the flow, environment and transmission performance of the transmission network channel, which is not conducive to the reasonable and targeted management of the transmission network channel, reducing the transmission stability, fluency and transmission efficiency of the transmission network channel, and it is impossible to intuitively understand the stability level of the transmission network channel, thereby reducing the transmission quality and transmission management efficiency of the transmission network channel;

[0005] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0006] The purpose of the present invention is to provide an Internet cloud data transmission supervision system based on traffic monitoring to solve the technical defects mentioned above. The present invention analyzes the traffic of the transmission network channel from two perspectives: the combination of the network environment and the transmission performance, so as to reduce the interference risk of the transmission network channel and the risk of affecting the transmission efficiency, thereby facilitating the reasonable and targeted management of the transmission network channel to improve the transmission smoothness and stability of the transmission network channel. Information fusion processing and analysis are performed through information feedback and information fusion to understand the stability level of the transmission network channel, and the stability and transmission quality of the current transmission network channel are intuitively understood through text feedback, so as to manage the current transmission network channel in a timely manner to improve the reliability of cloud data transmission.

[0007] The object of the present invention can be achieved by the following technical solutions: an Internet cloud data transmission supervision system based on traffic monitoring, comprising a transmission supervision platform, an information collection unit, a channel environment analysis unit, a channel supervision unit, a transmission visualization unit, a stability assessment unit and a transmission management unit;

[0008] The information collection unit is used to collect the transmission flow data and transmission performance data of the transmission network channel, and send the transmission flow data and transmission performance data to the channel supervision unit and the transmission visualization unit respectively;

[0009] After receiving the transmission flow data, the channel supervision unit immediately performs a transmission potential interference supervision assessment analysis on the transmission flow data, compares and analyzes the obtained congestion interference assessment coefficient Ki, obtains a normal period and an abnormal period, further analyzes the normal period and the abnormal period, and compares and analyzes the obtained transmission interference index to obtain an abnormal signal;

[0010] The channel environment analysis unit is used to collect network environment data of the transmission network channel, and perform transmission interference supervision evaluation analysis on the network environment data, and send the obtained environmental interference evaluation coefficient Hi to the channel supervision unit;

[0011] After receiving the transmission performance data, the transmission visualization unit immediately performs transmission management demand assessment analysis on the transmission performance data, compares and analyzes the obtained transmission visualization index and the transmission intrinsic index to obtain smooth periods and suspicious periods, further analyzes the smooth periods and suspicious periods, and compares and analyzes the obtained transmission performance index to obtain risk signals;

[0012] The stability evaluation unit is used to perform information fusion processing and analysis on the normal period and the smooth period, compare and analyze the obtained transmission stability evaluation coefficient, and send the obtained transmission stability level CJ to the transmission management unit.

[0013] Preferably, the transmission potential interference supervision evaluation and analysis process of the channel supervision unit is as follows:

[0014] The cloud data transmission period is collected and set as the time threshold. The time threshold is divided into i sub-periods, where i is a natural number greater than zero. The transmission flow data of the transmission network channel in each sub-period is obtained. The transmission flow data represents the flow floating value. The flow floating value is labeled as LFi. The flow floating value LFi and the environmental interference assessment coefficient Hi are substituted into the formula The congestion interference assessment coefficient of each sub-time period is obtained, where a1 and a2 are preset proportional factor coefficients of the flow floating value and the environmental interference assessment coefficient, respectively, a3 is a preset correction factor coefficient, a1, a2 and a3 are all greater than zero, Ki is the congestion interference assessment coefficient of each sub-time period, and the congestion interference assessment coefficient Ki is compared and analyzed with the preset congestion interference assessment coefficient threshold value stored in the internal entry:

[0015] If the ratio between the congestion interference assessment coefficient Ki and the preset congestion interference assessment coefficient threshold is less than 1, the corresponding sub-time period is judged to be a normal period;

[0016] If the ratio between the congestion interference assessment coefficient Ki and the preset congestion interference assessment coefficient threshold is greater than or equal to 1, the corresponding sub-time period is determined to be an abnormal period.

[0017] Preferably, the ratio between the number corresponding to the abnormal time period and the number corresponding to the normal time period is obtained, and the ratio between the number corresponding to the abnormal time period and the number corresponding to the normal time period is set as the transmission interference index, and the transmission interference index is compared and analyzed with the preset transmission interference index threshold value recorded and stored internally:

[0018] If the ratio between the transmission interference index and the preset transmission interference index threshold is less than 1, no signal is generated;

[0019] If the ratio between the transmission interference index and the preset transmission interference index threshold is greater than or equal to 1, an abnormal signal is generated;

[0020] The flow floating value represents the ratio between the portion of the actual transmission data flow of the transmission network channel in the sub-time period that exceeds the preset transmission data flow threshold and the preset transmission data flow threshold.

[0021] Preferably, the transmission interference supervision assessment analysis process of the channel environment analysis unit is as follows:

[0022] Obtain the network environment data of the transmission network channel in each sub-time period, the network environment data includes the internal environment interference value and the external environment interference value, the internal environment interference value and the external environment interference value are labeled as NHi and WHi respectively, and the internal environment interference value NHi and the external environment interference value Whii are substituted into the formula to obtain the environmental interference assessment coefficient Hi of each sub-time period;

[0023] The internal environment interference value represents the proportion of the time period corresponding to the preset threshold value when the product of the transmission delay rate and the data packet loss rate of the transmission network channel in the sub-time period is greater than the preset threshold value after the data is normalized; the external environment interference value represents the frequency of network attacks on the transmission network channel in the sub-time period.

[0024] Preferably, the transmission management demand evaluation and analysis process of the transmission visual unit is as follows:

[0025] The transmission performance data of the transmission network channel in each sub-time period is obtained, and a transmission visibility index and a transmission intrinsic index are obtained according to the transmission performance data; the transmission visibility index represents the proportion of the transmission jam duration in the sub-time period; the transmission intrinsic index represents the proportion of the duration corresponding to the transmission rate of the transmission network channel being lower than the preset transmission rate threshold in the sub-time period;

[0026] The transmission visual index and the transmission intrinsic index are compared and analyzed with the preset transmission visual index threshold and the preset transmission intrinsic index threshold that are stored and recorded internally:

[0027] If the transmission visibility index is less than the preset transmission visibility index threshold, and the transmission intrinsic index is less than the preset transmission intrinsic index threshold, then the corresponding sub-time period is determined to be a smooth time period;

[0028] If the transmission visibility index is greater than or equal to the preset transmission visibility index threshold, or the transmission intrinsic index is greater than or equal to the preset transmission intrinsic index threshold, the corresponding sub-time period is determined to be a suspicious time period.

[0029] Preferably, the ratio between the number corresponding to the suspicious period and the number corresponding to the smooth period is obtained, and the ratio between the number corresponding to the suspicious period and the number corresponding to the smooth period is set as the transmission performance index, and the transmission performance index is compared and analyzed with the preset transmission performance index threshold value recorded and stored internally:

[0030] If the ratio between the transmission performance index and the preset transmission performance index threshold is less than 1, no signal is generated; if the ratio between the transmission performance index and the preset transmission performance index threshold is greater than or equal to 1, a risk signal is generated.

[0031] Preferably, the information fusion processing and analysis process of the stability assessment unit is as follows:

[0032] The number of normal time periods within the time threshold is obtained, and a set A of normal time periods is constructed. The number of smooth time periods within the time threshold is obtained, and a set B of smooth time periods is constructed. Then, the intersection of set A and set B is obtained, and the intersection of set A and set B is set as set C. The number of elements in set C is obtained, and the ratio between the number of elements in set C and the total number of sub-time periods is set as the transmission stability evaluation coefficient. The transmission stability evaluation coefficient is compared and analyzed with the preset transmission stability evaluation coefficient range stored in the internal input:

[0033] If the transmission stability assessment coefficient is greater than the maximum value in the preset transmission stability assessment coefficient range, the transmission network channel is determined to be level one stable; if the transmission stability assessment coefficient belongs to the preset transmission stability assessment coefficient range, the transmission network channel is determined to be level two stable; if the transmission stability assessment coefficient is less than the minimum value in the preset transmission stability assessment coefficient range, the transmission network channel is determined to be level three stable, and the level one stability, level two stability and level three stability are set as transmission stability levels CJ, CJ=1, 2, 3.

[0034] The beneficial effects of the present invention are as follows:

[0035] The present invention analyzes the traffic flow of the transmission network channel in combination with the network environment and the transmission performance to reduce the interference risk and transmission efficiency impact risk of the transmission network channel, thereby helping to reasonably and targetedly manage the transmission network channel to improve the transmission smoothness and stability of the transmission network channel, that is, to conduct a transmission potential interference supervision assessment analysis on the transmission traffic data, and to analyze it in combination with the network environment, which helps to improve the comprehensiveness of the interference risk analysis data, and then understand whether the potential interference risk of the transmission network channel is too high, so as to reasonably manage the transmission network channel and distribute the traffic, conduct a transmission management demand assessment analysis on the transmission performance data, and analyze the transmission performance of the transmission network channel from an intuitive and visual perspective to ensure the smoothness and stability of the data transmission channel;

[0036] The present invention performs information fusion processing and analysis through information feedback and information fusion to understand the stability level of the transmission network channel, and intuitively understands the stability and transmission quality of the current transmission network channel through text feedback, so as to manage the current transmission network channel in a timely manner to improve the reliability of cloud data transmission. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] The present invention will be further described below in conjunction with the accompanying drawings;

[0038] Figure 1 It is a flowchart of the system of the present invention;

[0039] Figure 2 This is a local analysis diagram of Example 1 of the present invention. DETAILED DESCRIPTION

[0040] 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.

[0041] Embodiment 1

[0042] See also Figure 1 to Figure 2As shown, the present invention is an Internet cloud data transmission supervision system based on traffic monitoring, including a transmission supervision platform, an information collection unit, a channel environment analysis unit, a channel supervision unit, a transmission visualization unit, a stability assessment unit and a transmission management unit, the transmission supervision platform is connected to the information collection unit and the channel environment analysis unit in a one-way communication, the information collection unit is connected to the channel supervision unit and the transmission visualization unit in a one-way communication, the channel supervision unit and the transmission visualization unit are connected to the stability assessment unit and the transmission management unit in a one-way communication, and the stability assessment unit is connected to the transmission management unit in a one-way communication;

[0043] When the transmission supervision platform detects any cloud data transmission, it generates a supervision instruction and sends the supervision instruction to the information collection unit and the channel environment analysis unit. After receiving the supervision instruction, the information collection unit immediately collects the transmission flow data and transmission performance data of the transmission network channel, and sends the transmission flow data and transmission performance data to the channel supervision unit and the transmission visualization unit respectively. After receiving the transmission flow data, the channel supervision unit immediately performs a transmission potential interference supervision assessment and analysis on the transmission flow data to understand whether the potential interference risk of the transmission network channel is too high, so as to reasonably manage the transmission network channel and allocate traffic to improve the data transmission quality. The specific transmission potential interference supervision assessment and analysis process is as follows:

[0044] The cloud data transmission period is collected and set as the time threshold. The time threshold is divided into i sub-periods, where i is a natural number greater than zero. The transmission flow data of the transmission network channel in each sub-period is obtained. The transmission flow data represents the flow floating value. The flow floating value is labeled as LFi. The flow floating value LFi and the environmental interference assessment coefficient Hi are substituted into the formula The congestion interference assessment coefficient of each sub-time period is obtained, where a1 and a2 are preset proportional factor coefficients of the flow floating value and the environmental interference assessment coefficient respectively. The proportional factor coefficient is used to correct the deviation of various parameters in the formula calculation process, so as to make the calculation result more accurate. a3 is the preset correction factor coefficient. a1, a2 and a3 are all greater than zero. Ki is the congestion interference assessment coefficient of each sub-time period. The congestion interference assessment coefficient Ki is compared and analyzed with the preset congestion interference assessment coefficient threshold value stored in the internal input:

[0045] If the ratio between the congestion interference assessment coefficient Ki and the preset congestion interference assessment coefficient threshold is less than 1, the corresponding sub-time period is judged to be a normal period;

[0046] If the ratio between the congestion interference assessment coefficient Ki and the preset congestion interference assessment coefficient threshold is greater than or equal to 1, the corresponding sub-time period is determined to be an abnormal time period;

[0047] The ratio between the number corresponding to the abnormal period and the number corresponding to the normal period is obtained, and the ratio between the number corresponding to the abnormal period and the number corresponding to the normal period is set as the transmission interference index, and the transmission interference index is compared and analyzed with the preset transmission interference index threshold value recorded and stored internally:

[0048] If the ratio between the transmission interference index and the preset transmission interference index threshold is less than 1, no signal is generated;

[0049] If the ratio between the transmission interference index and the preset transmission interference index threshold is greater than or equal to 1, an abnormal signal is generated and sent to the transmission management unit. After receiving the abnormal signal, the transmission management unit immediately performs a preset early warning operation corresponding to the abnormal signal, so as to reasonably allocate transmission and manage the transmission network according to the information feedback, so as to improve the data transmission quality;

[0050] In the embodiment of the present invention, the flow floating value represents the ratio between the portion of the actual transmission data flow of the transmission network channel in the sub-time period that exceeds the preset transmission data flow threshold and the preset transmission data flow threshold. It should be noted that the analysis is performed from the perspective of the flow of the transmission network channel to understand the flow change of the transmission network channel so as to reasonably distribute the flow and transmit it, so as to reduce the risk of congestion of the transmission network channel and further reduce the risk of transmission jam;

[0051] The environmental interference assessment coefficient Hi is obtained by performing transmission interference supervision assessment analysis by the channel environment analysis unit, that is, the channel environment analysis unit is used to respond to the supervision instruction, collect the network environment data of the transmission network channel, and perform transmission interference supervision assessment analysis on the network environment data, so as to understand the network environment impact of the transmission network channel, so as to provide data support for subsequent analysis. The specific transmission interference supervision assessment analysis process is as follows:

[0052] Obtain the network environment data of the transmission network channel in each sub-time period. The network environment data includes the internal environment interference value and the external environment interference value. The internal environment interference value and the external environment interference value are labeled as NHi and WHi respectively. Substitute the internal environment interference value NHi and the external environment interference value Whi into the formula Obtain the environmental interference assessment coefficient of each sub-time period, wherein f1 and f2 are respectively the preset proportional factor coefficients of the internal environmental interference value and the external environmental interference value, f3 is the preset fault tolerance factor coefficient, f1, f2 and f3 are all greater than zero, Hi is the environmental interference assessment coefficient of each sub-time period, and the environmental interference assessment coefficient Hi is sent to the channel supervision unit;

[0053] In the embodiment of the present invention, the internal environment interference value indicates the proportion of the time period corresponding to the preset threshold value obtained by multiplying the transmission delay rate and the data packet loss rate of the transmission network channel in the sub-time period by the product value after data normalization. It should be noted that the analysis is performed from the perspective of the internal network environment of the transmission network channel to understand the network internal environment of the transmission network channel so as to manage the transmission environment of the transmission network channel;

[0054] In the embodiment of the present invention, the external environment interference value represents the frequency of network attacks on the transmission network channel in the sub-time period. It should be noted that the analysis is performed from the perspective of attacks on the transmission network channel to understand the external network environment of the transmission network channel.

[0055] Embodiment 2

[0056] After receiving the transmission performance data, the transmission visual unit immediately conducts transmission management demand evaluation and analysis on the transmission performance data, and analyzes the transmission performance of the transmission network channel from an intuitive and visual perspective, so as to reasonably manage it according to the feedback information to ensure the smoothness and stability of the data transmission channel. The specific transmission management demand evaluation and analysis process is as follows:

[0057] The transmission performance data of the transmission network channel in each sub-time period is obtained, and the transmission visibility index and the transmission intrinsic index are obtained according to the transmission performance data. The transmission visibility index and the transmission intrinsic index are compared and analyzed with the preset transmission visibility index threshold and the preset transmission intrinsic index threshold that are internally entered and stored:

[0058] If the transmission visibility index is less than the preset transmission visibility index threshold, and the transmission intrinsic index is less than the preset transmission intrinsic index threshold, then the corresponding sub-time period is determined to be a smooth time period;

[0059] If the transmission visibility index is greater than or equal to the preset transmission visibility index threshold, or the transmission intrinsic index is greater than or equal to the preset transmission intrinsic index threshold, the corresponding sub-time period is determined to be a suspicious time period;

[0060] The ratio between the number corresponding to the suspicious period and the number corresponding to the smooth period is obtained, and the ratio between the number corresponding to the suspicious period and the number corresponding to the smooth period is set as the transmission performance index, and the transmission performance index is compared and analyzed with the preset transmission performance index threshold value recorded and stored internally:

[0061] If the ratio between the transmission performance index and the preset transmission performance index threshold is less than 1, no signal is generated;

[0062] If the ratio between the transmission performance index and the preset transmission performance index threshold is greater than or equal to 1, a risk signal is generated and sent to the transmission management unit. After receiving the risk signal, the transmission management unit immediately performs a preset warning operation corresponding to the risk signal, such as upgrading the bandwidth or reducing the bandwidth usage, so as to improve the efficiency and fluency of data transmission;

[0063] In the embodiment of the present invention, the transmission visibility index represents the proportion of the transmission jam duration in the sub-period. It should be noted that the transmission performance of the transmission network channel is analyzed from an intuitive and visual perspective, so as to reasonably manage it according to the feedback information to ensure the smoothness and stability of the data transmission channel;

[0064] In the embodiment of the present invention, the transmission intrinsic index represents the proportion of the time length corresponding to the preset transmission rate threshold value during the transmission rate of the transmission network channel in the sub-time period. It should be noted that the analysis is performed from the perspective of the side transmission rate to understand the transmission quality and smoothness of the transmission network channel so as to reasonably manage and improve the transmission rate of the transmission network channel.

[0065] The stability assessment unit is used to perform information fusion processing and analysis on normal periods and smooth periods to understand the stability of the transmission network channel, and intuitively understand the stability and transmission quality of the current transmission network channel through text feedback. The specific information fusion processing and analysis process is as follows:

[0066] The number of normal time periods within the time threshold is obtained, and a set A of normal time periods is constructed. The number of smooth time periods within the time threshold is obtained, and a set B of smooth time periods is constructed. Then, the intersection of set A and set B is obtained, and the intersection of set A and set B is set as set C. The number of elements in set C is obtained, and the ratio between the number of elements in set C and the total number of sub-time periods is set as the transmission stability evaluation coefficient. The transmission stability evaluation coefficient is compared and analyzed with the preset transmission stability evaluation coefficient range stored in the internal input:

[0067] If the transmission stability evaluation coefficient is greater than the maximum value in the preset transmission stability evaluation coefficient range, the transmission network channel is determined to be first-level stable;

[0068] If the transmission stability evaluation coefficient falls within the preset transmission stability evaluation coefficient range, the transmission network channel is determined to be level 2 stable;

[0069] If the transmission stability evaluation coefficient is less than the minimum value in the preset transmission stability evaluation coefficient range, the transmission network channel is determined to be level three stable, wherein the transmission stability corresponding to level one stable, level two stable and level three stable decreases in sequence, and level one stable, level two stable and level three stable are set as transmission stability level CJ, CJ=1, 2, 3, that is, when the transmission stability level CJ=1, it indicates level one stable, when the transmission stability level CJ=2, it indicates level two stable, when the transmission stability level CJ=3, it indicates level three stable, and the transmission stability level CJ is sent to the transmission management unit. After receiving the transmission stability level CJ, the transmission management unit immediately displays the preset warning text corresponding to the transmission stability level CJ, so as to intuitively understand the stability and transmission quality of the current transmission network channel;

[0070] In summary, the present invention reduces the interference risk and transmission efficiency impact risk of the transmission network channel by analyzing from two perspectives: the flow of the transmission network channel combined with the network environment and the transmission performance, thereby helping to reasonably and targetedly manage the transmission network channel to improve the transmission smoothness and stability of the transmission network channel, that is, the transmission traffic data is subjected to transmission potential interference supervision assessment and analysis, and the analysis is combined with the network environment to help improve the comprehensiveness of the interference risk analysis data, thereby understanding whether the potential interference risk of the transmission network channel is too high, so as to reasonably manage the transmission network channel and allocate the flow to improve the data transmission security, while reducing the potential impact risk, and to conduct transmission management demand assessment and analysis on the transmission performance data, and analyze the transmission performance of the transmission network channel from an intuitive and visual perspective, so as to reasonably manage it according to the feedback information to ensure the smoothness and stability of the data transmission channel, and to conduct information fusion processing and analysis by means of information feedback and information fusion to understand the stability level of the transmission network channel, and to intuitively understand the stability and transmission quality of the current transmission network channel by means of text feedback, so as to timely manage the current transmission network channel to improve the reliability of cloud data transmission.

[0071] The threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the number of bases set by technicians in this field for each group of sample data; as long as it does not affect the proportional relationship between the parameter and the quantized value.

[0072] The above formulas are obtained by collecting a large amount of data for software simulation and selecting a formula that is close to the actual value. The coefficients in the formula are set by technical personnel in this field according to actual conditions. The above is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited to this. Any technical personnel familiar with the technical field within the technical scope disclosed by the present invention, according to the technical solution and the inventive concept of the present invention, make equivalent replacement or change, which should be covered within the protection scope of the present invention.

Claims

1. An Internet cloud data transmission supervision system based on traffic monitoring, characterized in that: It includes a transmission monitoring platform, an information collection unit, a channel environment analysis unit, a channel monitoring unit, a transmission visualization unit, a stability assessment unit and a transmission management unit; The information collection unit is used to collect the transmission flow data and transmission performance data of the transmission network channel, and send the transmission flow data and transmission performance data to the channel supervision unit and the transmission visualization unit respectively; After receiving the transmission flow data, the channel supervision unit immediately performs a transmission potential interference supervision assessment analysis on the transmission flow data, compares and analyzes the obtained congestion interference assessment coefficient Ki, obtains a normal period and an abnormal period, further analyzes the normal period and the abnormal period, and compares and analyzes the obtained transmission interference index to obtain an abnormal signal; The channel environment analysis unit is used to collect network environment data of the transmission network channel, and perform transmission interference supervision evaluation analysis on the network environment data, and send the obtained environmental interference evaluation coefficient Hi to the channel supervision unit; After receiving the transmission performance data, the transmission visualization unit immediately performs transmission management demand assessment analysis on the transmission performance data, compares and analyzes the obtained transmission visualization index and the transmission intrinsic index to obtain smooth periods and suspicious periods, further analyzes the smooth periods and suspicious periods, and compares and analyzes the obtained transmission performance index to obtain risk signals; The stability evaluation unit is used to perform information fusion processing and analysis on the normal period and the smooth period, compare and analyze the obtained transmission stability evaluation coefficient, and send the obtained transmission stability level CJ to the transmission management unit; The transmission potential interference supervision evaluation and analysis process of the channel supervision unit is as follows: The cloud data transmission period is collected and set as the time threshold. The time threshold is divided into i sub-periods, where i is a natural number greater than zero. The transmission flow data of the transmission network channel in each sub-period is obtained. The transmission flow data represents the flow floating value. The flow floating value is labeled as LFi. The flow floating value LFi and the environmental interference assessment coefficient Hi are substituted into the formula The congestion interference assessment coefficient of each sub-time period is obtained, where a1 and a2 are preset proportional factor coefficients of the flow floating value and the environmental interference assessment coefficient, respectively, a3 is a preset correction factor coefficient, a1, a2 and a3 are all greater than zero, Ki is the congestion interference assessment coefficient of each sub-time period, and the congestion interference assessment coefficient Ki is compared and analyzed with the preset congestion interference assessment coefficient threshold value stored in the internal entry: If the ratio between the congestion interference assessment coefficient Ki and the preset congestion interference assessment coefficient threshold is less than 1, the corresponding sub-time period is judged to be a normal period; If the ratio between the congestion interference assessment coefficient Ki and the preset congestion interference assessment coefficient threshold is greater than or equal to 1, the corresponding sub-time period is determined to be an abnormal time period; The ratio between the number corresponding to the abnormal period and the number corresponding to the normal period is obtained, and the ratio between the number corresponding to the abnormal period and the number corresponding to the normal period is set as the transmission interference index, and the transmission interference index is compared and analyzed with the preset transmission interference index threshold value recorded and stored internally: If the ratio between the transmission interference index and the preset transmission interference index threshold is less than 1, no signal is generated; If the ratio between the transmission interference index and the preset transmission interference index threshold is greater than or equal to 1, an abnormal signal is generated; The flow floating value represents the ratio between the portion of the actual transmission data flow of the transmission network channel in the sub-time period that exceeds the preset transmission data flow threshold and the preset transmission data flow threshold; The transmission interference supervision assessment and analysis process of the channel environment analysis unit is as follows: Obtain the network environment data of the transmission network channel in each sub-time period, the network environment data includes the internal environment interference value and the external environment interference value, the internal environment interference value and the external environment interference value are labeled as NHi and WHi respectively, and the internal environment interference value NHi and the external environment interference value Whii are substituted into the formula to obtain the environmental interference assessment coefficient Hi of each sub-time period; The internal environment interference value indicates the proportion of time that the product of the transmission delay rate and the data packet loss rate of the transmission network channel in the sub-time period is greater than the preset threshold value after the data is normalized; the external environment interference value indicates the frequency of network attacks on the transmission network channel in the sub-time period; The transmission management demand evaluation and analysis process of the transmission visual unit is as follows: The transmission performance data of the transmission network channel in each sub-time period is obtained, and a transmission visibility index and a transmission intrinsic index are obtained according to the transmission performance data; the transmission visibility index represents the proportion of the transmission jam duration in the sub-time period; the transmission intrinsic index represents the proportion of the duration corresponding to the transmission rate of the transmission network channel being lower than the preset transmission rate threshold in the sub-time period; The transmission visual index and the transmission intrinsic index are compared and analyzed with the preset transmission visual index threshold and the preset transmission intrinsic index threshold that are stored and recorded internally: If the transmission visibility index is less than the preset transmission visibility index threshold, and the transmission intrinsic index is less than the preset transmission intrinsic index threshold, then the corresponding sub-time period is determined to be a smooth time period; If the transmission visibility index is greater than or equal to the preset transmission visibility index threshold, or the transmission intrinsic index is greater than or equal to the preset transmission intrinsic index threshold, the corresponding sub-time period is determined to be a suspicious time period; The ratio between the number corresponding to the suspicious period and the number corresponding to the smooth period is obtained, and the ratio between the number corresponding to the suspicious period and the number corresponding to the smooth period is set as the transmission performance index, and the transmission performance index is compared and analyzed with the preset transmission performance index threshold value recorded and stored internally: If the ratio between the transmission performance index and the preset transmission performance index threshold is less than 1, no signal is generated; if the ratio between the transmission performance index and the preset transmission performance index threshold is greater than or equal to 1, a risk signal is generated; The information fusion processing and analysis process of the stability assessment unit is as follows: The number of normal time periods within the time threshold is obtained, and a set A of normal time periods is constructed. The number of smooth time periods within the time threshold is obtained, and a set B of smooth time periods is constructed. Then, the intersection of set A and set B is obtained, and the intersection of set A and set B is set as set C. The number of elements in set C is obtained, and the ratio between the number of elements in set C and the total number of sub-time periods is set as the transmission stability evaluation coefficient. The transmission stability evaluation coefficient is compared and analyzed with the preset transmission stability evaluation coefficient range stored in the internal input: If the transmission stability assessment coefficient is greater than the maximum value in the preset transmission stability assessment coefficient range, the transmission network channel is determined to be level one stable; if the transmission stability assessment coefficient belongs to the preset transmission stability assessment coefficient range, the transmission network channel is determined to be level two stable; if the transmission stability assessment coefficient is less than the minimum value in the preset transmission stability assessment coefficient range, the transmission network channel is determined to be level three stable, and the level one stability, level two stability and level three stability are set as transmission stability levels CJ, CJ=1, 2, 3.

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