A system and method for monitoring the operation status of a power communication network

Abstract

The present invention relates to the technical field of electric power communication network, and specifically discloses a system and method for monitoring the operation status of an electric power communication network, obtains the transmission time ratio Fs and the packet loss rate Db of a data packet, calculates the operation status coefficient Zt, generates an operation analysis signal, calculates the continuous signal over-bound ratio Lx, the signal interval ratio Jg, etc. based on the operation analysis signal, and then calculates the early warning analysis coefficient Yf, compares the early warning analysis coefficient Yf with the early warning analysis threshold coefficient Yfz, and judges the risk degree of the network operation status. If the early warning analysis coefficient Yf≥the early warning analysis coefficient threshold Yfz, it indicates that the network is in a high-risk state and sends out an early warning signal. The present invention can monitor and quantitatively evaluate the network operation status, timely discover abnormalities and issue early warnings, and effectively ensure the stable operation of the electric power communication network.

Description

Technical Field

[0001] The present invention relates to the technical field of electric power communication networks, and in particular to a system and method for monitoring the operating status of an electric power communication network. Background Art

[0002] With the continuous development of power systems and the acceleration of intelligentization, the stable and reliable operation of power communication networks is crucial to ensuring the safe, efficient and economical operation of power systems.

[0003] A Chinese patent application with publication number CN111324504A discloses a method and device for monitoring the operation status of a power communication network, including: constructing a communication data acquisition interface; using the interface to acquire communication data of the power communication network, wherein the communication data at least includes: relevant data of each service in the power communication network, physical and logical parameters of the power communication network, and relevant data for maintaining the power communication network; and monitoring the operation status of the power communication network according to the communication data. This solves the technical problem that the related technology uses manual inspection to monitor the operation status of the power communication network, resulting in low monitoring efficiency and delay.

[0004] The existing technology only acquires part of the communication data by building a communication data acquisition interface and monitors the operation status of the power communication network based on it. This is obviously insufficient and ignores key information such as dynamic performance indicators of data packet transmission, such as transmission delay and real-time packet loss rate, making it difficult to fully grasp the real-time operation status of the network. In terms of monitoring methods, there is a lack of in-depth quantitative analysis of the network operation status, and it is impossible to measure the quality of the operation status and the degree of risk, and it is impossible to effectively distinguish between different degrees of abnormality.

[0005] To this end, the present invention provides a system and method for monitoring the operating status of a power communication network. Summary of the invention

[0006] The object of the present invention is to provide a system and method for monitoring the operating status of an electric power communication network to solve the above-mentioned problems.

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

[0008] A method for monitoring the operation status of a power communication network comprises the following steps:

[0009] A method for monitoring the operation status of a power communication network comprises the following steps:

[0010] Acquire data packet information in the power communication network, calculate the transmission delay time ratio Fs and the packet loss rate Db of the data packet, calculate the operation state coefficient Zt based on the transmission delay time ratio Fs and the packet loss rate Db, the operation state coefficient Zt≥ the operation state coefficient threshold Ztx, and generate an operation analysis signal;

[0011] Based on the operation analysis signal, the number of consecutive occurrences of the operation analysis signal in multiple monitoring cycles is obtained, and the number of consecutive signal times is calculated to obtain the continuous signal over-limit ratio Lx. The number of monitoring cycles in which the operation analysis signal appears non-continuously is obtained to obtain the number of signal intervals. The number of signal intervals is calculated with the total number of interval cycles to obtain the signal interval ratio Jg. Based on the continuous signal over-limit ratio Lx and the signal interval ratio Jg, the risk continuity coefficient Fx is calculated;

[0012] Calculate the operating status coefficient Zt and the operating status coefficient threshold Ztx to obtain the status coefficient excess ratio Cb, calculate the status coefficient variance Fc, and based on the status coefficient excess ratio Cb, the risk continuity coefficient Fx and the status coefficient variance Fc, use the preset proportional coefficient to calculate the early warning analysis coefficient Yf. If the early warning analysis coefficient Yf ≥ the early warning analysis coefficient threshold Yfz, a warning signal is issued.

[0013] As a further technical solution of the present invention: the operation state coefficient Zt is obtained as follows:

[0014] Calculate the operation status coefficient Zt based on the sending delay time ratio Fs and the packet loss rate Db;

[0015] By formula: , calculate the operating state coefficient Zt, where a and b are preset proportional coefficients;

[0016] The operation analysis signal is obtained in the following manner:

[0017] Compare the operating state coefficient Zt with the operating state coefficient threshold Ztx;

[0018] If the operating state coefficient Zt≥the operating state coefficient threshold Ztx, an operating analysis signal is generated.

[0019] As a further technical solution of the present invention: the transmission delay time ratio Fs is obtained in the following manner:

[0020] Obtain the time required for a single data packet to be sent from the sender's buffer to be received by the receiver during the monitoring period, and obtain the sending time;

[0021] Compare the sending time with the sending standard time;

[0022] If the sending time is higher than the standard sending time, the difference between the sending time and the standard sending time is calculated to obtain the sending delay time;

[0023] Obtain the sending delay time of all data packets, sum and average the sending delay time of all data packets, and obtain the average sending delay time;

[0024] The length of the monitoring cycle is obtained to obtain the monitoring duration, and the average sending delay time is ratioed with the monitoring duration to obtain the sending delay time ratio, which is marked as Fs;

[0025] The packet loss rate Db is obtained as follows:

[0026] In the process of obtaining the data packets from the sending end buffer to the receiving end in the communication network, the data packets that are not successfully delivered to the receiving end are marked as lost data packets;

[0027] Obtain the number of all lost data packets, sum and average the number of all lost data packets, and obtain the mean value of data packet loss;

[0028] Obtain the number of data packets sent during the monitoring period and obtain the total number of data packets sent;

[0029] The packet loss rate is obtained by ratioing the mean value of packet loss to the total number of sent packets, and the packet loss rate is marked as Db.

[0030] As a further technical solution of the present invention: the signal continuity coefficient is obtained in the following manner:

[0031] Based on the continuous signal over-limit ratio Lx and signal interval ratio Jg, the risk continuity coefficient Fx is calculated;

[0032] By formula: , the risk continuity coefficient Fx is calculated, where c and d are preset proportional coefficients.

[0033] As a further technical solution of the present invention: the method for obtaining the continuous signal over-limit ratio Lx is:

[0034] Obtain the number of times the running analysis signal appears continuously in multiple monitoring cycles to obtain the number of continuous signals;

[0035] Obtain the number of consecutive signals in multiple monitoring cycles, sum and average the number of consecutive signals in the multiple monitoring cycles, and obtain the average number of consecutive signals;

[0036] Perform difference processing on the mean of the number of continuous signals and the threshold of the number of continuous signals to obtain the continuous signal over-bound difference;

[0037] The continuous signal out-of-bounds difference is processed by ratio with the continuous signal number threshold to obtain the continuous signal out-of-bounds ratio, and the continuous signal out-of-bounds ratio is marked as Lx.

[0038] As a further technical solution of the present invention: the signal interval ratio Jg is obtained as follows:

[0039] Obtain the number of non-continuous occurrences of the running analysis signal within multiple monitoring cycles to obtain the signal interval number;

[0040] The number of all signal intervals is summed and averaged to obtain the signal interval mean;

[0041] When the operation analysis signals appear discontinuously, the monitoring period between two adjacent operation analysis signals is obtained to obtain the interval period;

[0042] Obtain the number of interval periods in a plurality of monitoring periods, and sum the number of interval periods in the plurality of monitoring periods to obtain the total number of interval periods;

[0043] The signal interval mean is ratioed to the total number of interval cycles to obtain the signal interval ratio, which is marked as Jg.

[0044] As a further technical solution of the present invention: the early warning analysis coefficient Yf is obtained as follows:

[0045] Based on the state coefficient excess ratio Cb, risk continuity coefficient Fx, and state coefficient variance Fc, calculate the early warning analysis coefficient Yf;

[0046] By formula: , calculate the early warning analysis coefficient Yf, ln (e*Cb+f*Fx+g*Fc) is a logarithmic function with e as the base, where e, f, and g are preset proportional coefficients;

[0047] The early warning signal is generated in the following manner:

[0048] Compare the early warning analysis coefficient Yf with the early warning analysis threshold coefficient Yfz;

[0049] If the early warning analysis coefficient Yf ≥ the early warning analysis threshold coefficient Yfz, a warning signal is sent to the system.

[0050] As a further technical solution of the present invention: the state coefficient excess ratio Cb is obtained as follows:

[0051] Obtain the difference between the running state coefficient Zt and the running state coefficient threshold Ztx during the monitoring period to obtain the state coefficient difference;

[0052] Obtain the sum and average of all state coefficient differences within multiple monitoring cycles to obtain the mean value of the state coefficient differences;

[0053] The state coefficient difference mean value is ratioed with the state operation coefficient threshold value Ztx to obtain the state coefficient excess ratio, which is marked as Cb.

[0054] As a further technical solution of the present invention: the state coefficient variance Fc is obtained as follows:

[0055] The operating state coefficient Zt in multiple monitoring cycles is taken as a data group, and the variance of the operating state coefficient Zt in the data group is calculated to obtain the state coefficient variance, which is marked as Fc.

[0056] A power communication network operation status monitoring system, comprising:

[0057] Data acquisition module: obtains data packet information in the power communication network, calculates the transmission delay time ratio Fs and the packet loss rate Db of the data packet, calculates the operation state coefficient Zt based on the transmission delay time ratio Fs and the packet loss rate Db, and the operation state coefficient Zt ≥ the operation state coefficient threshold Ztx, and generates an operation analysis signal;

[0058] Data analysis module: based on the operation analysis signal, obtain the number of consecutive occurrences of the operation analysis signal in multiple monitoring cycles, obtain the number of continuous signals, and calculate it with the threshold of the number of continuous signals to obtain the continuous signal over-limit ratio Lx; obtain the number of monitoring cycles in which the operation analysis signal appears non-continuously in multiple monitoring cycles, obtain the number of signal intervals, calculate the number of signal intervals and the total number of interval cycles to obtain the signal interval ratio Jg; based on the continuous signal over-limit ratio Lx and the signal interval ratio Jg, calculate the risk continuity coefficient Fx;

[0059] Early warning generation module: Calculate the operating status coefficient Zt and the operating status coefficient threshold Ztx to obtain the status coefficient excess ratio Cb, calculate the status coefficient variance Fc, and calculate the early warning analysis coefficient Yf based on the status coefficient excess ratio Cb, the risk continuity coefficient Fx and the status coefficient variance Fc. If the early warning analysis coefficient Yf ≥ the early warning analysis coefficient threshold Yfz, a warning signal is issued.

[0060] Beneficial effects of the present invention:

[0061] By obtaining the data packet transmission delay time ratio Fs and packet loss rate Db, the operation status coefficient Zt is calculated and compared with the operation status coefficient threshold Ztx to generate an operation analysis signal. The risk continuity coefficient Fx is further calculated and compared with the risk level threshold Fxy to achieve an accurate assessment of network risks. By comparing the early warning analysis coefficient Yf with the early warning analysis threshold coefficient Yfz, it is possible to promptly detect that the network is in a high-risk state and issue an early warning signal, promptly warn of network failures, and ensure the stable operation of the power communication network.

[0062] Calculate multi-dimensional indicators such as the state coefficient excess ratio Cb, state coefficient variance Fc, and risk continuity coefficient Fx to conduct a comprehensive quantitative assessment of the network operation status. This helps operation and maintenance personnel gain an in-depth understanding of network performance fluctuations and abnormal characteristics, and provides a basis for optimizing network configuration and adjusting equipment parameters. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] The present invention will be further described below in conjunction with the accompanying drawings.

[0064] Figure 1 It is a flow chart of a method for monitoring the operating status of a power communication network according to the present invention;

[0065] Figure 2 It is a module diagram of a power communication network operation status monitoring system of the present invention. DETAILED DESCRIPTION

[0066] 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.

[0067] Example 1, please refer to Figure 1 As shown, the present invention is a method for monitoring the operation status of a power communication network, comprising:

[0068] Step 1: Obtain data packet information in the power communication network, calculate the transmission delay time ratio Fs and packet loss rate Db of the data packet, calculate the operation state coefficient Zt based on the transmission delay time ratio Fs and the packet loss rate Db, the operation state coefficient Zt ≥ the operation state coefficient threshold Ztx, and generate an operation analysis signal;

[0069] Obtain the time required for a single data packet to be sent from the sender's buffer to be received by the receiver during the monitoring period, and obtain the sending time;

[0070] Compare the sending time with the sending standard time;

[0071] It should be noted that the standard time for sending is set by professionals in this field based on their experience;

[0072] If the sending time is higher than the standard sending time, the difference between the sending time and the standard sending time is calculated to obtain the sending delay time;

[0073] Obtain the sending delay time of all data packets, sum and average the sending delay time of all data packets, and obtain the average sending delay time;

[0074] The length of the monitoring cycle is obtained to obtain the monitoring duration, and the average sending delay time is ratioed with the monitoring duration to obtain the sending delay time ratio, which is marked as Fs;

[0075] In the process of obtaining the data packets from the sending end buffer to the receiving end in the communication network, the data packets that are not successfully delivered to the receiving end are marked as lost data packets;

[0076] Obtain the number of all lost data packets within the monitoring period, sum and average the number of all lost data packets to obtain the mean value of data packet loss;

[0077] Obtain the number of data packets sent during the monitoring period and obtain the total number of data packets sent;

[0078] The packet loss mean is processed by ratio processing with the total number of sent packets to obtain the packet loss rate, which is marked as Db;

[0079] Calculate the operation status coefficient Zt based on the sending delay time ratio Fs and the packet loss rate Db;

[0080] By formula: , calculate the operating state coefficient Zt, where a and b are preset proportional coefficients;

[0081] Compare the operating state coefficient Zt with the operating state coefficient threshold Ztx;

[0082] If the operation state coefficient Zt ≥ the operation state coefficient threshold Ztx, it means that the sending delay time ratio Fs or the packet loss rate Db is larger, which indicates that the network communication operation state is not good, and an operation analysis signal is generated;

[0083] If the operating state coefficient Zt is less than the operating state coefficient threshold Ztx, it indicates that the network communication operating state is within the expected range, and the change of the operating state coefficient Zt is continuously monitored;

[0084] Step 2: Based on the operation analysis signal, obtain the number of times the operation analysis signal appears continuously in multiple monitoring cycles to obtain the number of continuous signals, and calculate it with the continuous signal number threshold to obtain the continuous signal over-limit ratio Lx; obtain the number of monitoring cycles in which the operation analysis signal appears non-continuously in multiple monitoring cycles to obtain the number of signal intervals, calculate the number of signal intervals and the total number of interval cycles to obtain the signal interval ratio Jg; based on the continuous signal over-limit ratio Lx and the signal interval ratio Jg, calculate the risk continuity coefficient Fx;

[0085] The risk continuity coefficient Fx is obtained as follows:

[0086] Obtain the number of times the running analysis signal appears continuously in multiple monitoring cycles to obtain the number of continuous signals;

[0087] It should be noted that, in the monitoring cycles arranged in chronological order, if an operation analysis signal is generated in a certain monitoring cycle, and an operation analysis signal is also generated in the next monitoring cycle, and so on, it is considered that the generation of the operation analysis signal is continuous;

[0088] Exemplarily, 5 minutes is set as a monitoring cycle, and an operation analysis signal is generated in the 10th minute of the monitoring cycle, and an operation analysis signal is also generated in the next 15th minute. Then, the operation analysis signals generated in the two adjacent monitoring cycles of the 10th minute and the 15th minute appear continuously;

[0089] Obtain the number of consecutive signals in multiple monitoring cycles, sum and average the number of consecutive signals in the multiple monitoring cycles, and obtain the average number of consecutive signals;

[0090] Perform difference processing on the mean of the number of continuous signals and the threshold of the number of continuous signals to obtain the continuous signal over-bound difference;

[0091] The continuous signal exceeding the limit difference is processed by ratio with the continuous signal number threshold to obtain the continuous signal exceeding the limit ratio, and the continuous signal exceeding the limit ratio is marked as Lx;

[0092] It should be noted that the threshold of the number of consecutive signals is set by professionals in this field based on experience;

[0093] Obtain the number of non-continuous occurrences of the running analysis signal within multiple monitoring cycles to obtain the signal interval number;

[0094] Obtain the sum and average of all signal interval numbers within multiple monitoring cycles to obtain the signal interval average;

[0095] When the operation analysis signals appear discontinuously, the monitoring period between two adjacent operation analysis signals is obtained to obtain the interval period;

[0096] Exemplarily, the interval period is set to 5 minutes, and an operation analysis signal is generated at the 5th minute, and an operation analysis signal is generated again at the 20th minute, then the monitoring period between these two adjacent operation analysis signals is marked as the interval period;

[0097] Obtain the number of interval periods in a plurality of monitoring periods, and sum the number of interval periods in the plurality of monitoring periods to obtain the total number of interval periods;

[0098] The signal interval mean is processed by ratio processing with the total number of interval cycles to obtain the signal interval ratio, which is marked as Jg;

[0099] Based on the continuous signal over-limit ratio Lx and signal interval ratio Jg, the risk continuity coefficient Fx is calculated;

[0100] By formula: , the risk continuity coefficient Fx is calculated, where c and d are the preset proportional coefficients;

[0101] The technical solution of this embodiment is: obtaining data packet information in the power communication network, calculating the sending delay time ratio Fs and the packet loss rate Db of the data packet, calculating the operating state coefficient Zt based on the sending delay time ratio Fs and the packet loss rate Db, the operating state coefficient Zt≥the operating state coefficient threshold Ztx, generating an operating analysis signal, obtaining the number of consecutive occurrences of the operating analysis signal in multiple monitoring cycles based on the operating analysis signal, obtaining the number of consecutive signals, and calculating it with the continuous signal number threshold to obtain the continuous signal out-of-bounds ratio Lx, obtaining the number of monitoring cycles in which the operating analysis signal appears non-continuously in multiple monitoring cycles, obtaining the number of signal intervals, calculating the signal interval number with the total number of interval cycles to obtain the signal interval ratio Jg, and calculating the risk continuity coefficient Fx based on the continuous signal out-of-bounds ratio Lx and the signal interval ratio Jg.

[0102] Embodiment 2, based on embodiment 1, the present invention is a method for monitoring the operation status of a power communication network, further comprising:

[0103] Step 3: Calculate the operating state coefficient Zt and the operating state coefficient threshold Ztx to obtain the state coefficient excess ratio Cb, calculate the state coefficient variance Fc, and calculate the early warning analysis coefficient Yf based on the state coefficient excess ratio Cb, the risk continuity coefficient Fx and the state coefficient variance Fc. If the early warning analysis coefficient Yf ≥ the early warning analysis coefficient threshold Yfz, a warning signal is issued;

[0104] Obtain the difference between the running state coefficient Zt and the running state coefficient threshold Ztx during the monitoring period to obtain the state coefficient difference;

[0105] Obtain the sum and average of all state coefficient differences within multiple monitoring cycles to obtain the mean value of the state coefficient differences;

[0106] The state coefficient difference mean value is processed by ratio with the state operation coefficient threshold value Ztx to obtain the state coefficient excess ratio, and the state coefficient excess ratio is marked as Cb;

[0107] The operating state coefficient Zt in multiple monitoring cycles is taken as a data group, and the variance of the operating state coefficient Zt in the data group is calculated to obtain the state coefficient variance, and the state coefficient variance is marked as Fc;

[0108] Based on the state coefficient excess ratio Cb, risk continuity coefficient Fx, and state coefficient variance Fc, calculate the early warning analysis coefficient Yf;

[0109] By formula: , calculate the early warning analysis coefficient Yf, ln (e*Cb+f*Fx+g*Fc) is a logarithmic function with e as the base, where e, f, and g are preset proportional coefficients;

[0110] Compare the early warning analysis coefficient Yf with the early warning analysis threshold coefficient Yfz;

[0111] If the early warning analysis coefficient Yf ≥ the early warning analysis threshold coefficient Yfz, it indicates that the operation status of the power communication network during the monitoring period is at a high risk level, and the performance of the power communication network fluctuates seriously, and a warning signal is sent to the system;

[0112] If the early warning analysis coefficient Yf is less than the early warning analysis threshold coefficient Yfz, it indicates that the performance of the power communication network is within the expected range during the monitoring period, but it is still necessary to continuously monitor the changes in the early warning analysis coefficient;

[0113] The technical solution described in this embodiment is: calculate the operating state coefficient Zt and the operating state coefficient threshold Ztx to obtain the state coefficient excess ratio Cb, calculate the state coefficient variance Fc, and based on the state coefficient excess ratio Cb, the risk continuity coefficient Fx and the state coefficient variance Fc, use the preset proportional coefficient to calculate the early warning analysis coefficient Yf, the early warning analysis coefficient Yf≥the early warning analysis coefficient threshold Yfz, and issue a warning signal.

[0114] Embodiment 3, as Figure 2 As shown, the present invention is a power communication network operation status monitoring system, comprising:

[0115] Data acquisition module: obtains data packet information in the power communication network, calculates the transmission delay time ratio Fs and the packet loss rate Db of the data packet, calculates the operation state coefficient Zt based on the transmission delay time ratio Fs and the packet loss rate Db, and the operation state coefficient Zt ≥ the operation state coefficient threshold Ztx, and generates an operation analysis signal;

[0116] Data analysis module: based on the operation analysis signal, obtain the number of consecutive occurrences of the operation analysis signal in multiple monitoring cycles, obtain the number of continuous signals, and calculate it with the threshold of the number of continuous signals to obtain the continuous signal over-limit ratio Lx; obtain the number of monitoring cycles in which the operation analysis signal appears non-continuously in multiple monitoring cycles, obtain the number of signal intervals, calculate the number of signal intervals and the total number of interval cycles to obtain the signal interval ratio Jg; based on the continuous signal over-limit ratio Lx and the signal interval ratio Jg, calculate the risk continuity coefficient Fx;

[0117] Early warning generation module: Calculate the operating status coefficient Zt and the operating status coefficient threshold Ztx to obtain the status coefficient excess ratio Cb, calculate the status coefficient variance Fc, and calculate the early warning analysis coefficient Yf based on the status coefficient excess ratio Cb, the risk continuity coefficient Fx and the status coefficient variance Fc. If the early warning analysis coefficient Yf ≥ the early warning analysis coefficient threshold Yfz, a warning signal is issued.

[0118] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A method for monitoring the operating status of a power communication network, characterized in that: The following steps are involved: Acquire data packet information in the power communication network, calculate the transmission delay time ratio Fs and the packet loss rate Db of the data packet, calculate the operation state coefficient Zt based on the transmission delay time ratio Fs and the packet loss rate Db, and generate an operation analysis signal if the operation state coefficient Zt≥the operation state coefficient threshold Ztx; Based on the operation analysis signal, the number of consecutive occurrences of the operation analysis signal in multiple monitoring cycles is obtained, and the number of consecutive signal times is calculated with the threshold value to obtain the continuous signal over-limit ratio Lx; the number of monitoring cycles in which the operation analysis signal appears non-continuously is obtained to obtain the number of signal intervals; the number of signal intervals is calculated with the total number of interval cycles to obtain the signal interval ratio Jg; based on the continuous signal over-limit ratio Lx and the signal interval ratio Jg, the risk continuity coefficient Fx is calculated; Calculate the operating state coefficient Zt and the operating state coefficient threshold Ztx to obtain the state coefficient excess ratio Cb, calculate the state coefficient variance Fc, and calculate the early warning analysis coefficient Yf based on the state coefficient excess ratio Cb, the risk continuity coefficient Fx and the state coefficient variance Fc. If the early warning analysis coefficient Yf ≥ the early warning analysis coefficient threshold Yfz, issue an early warning signal; The state coefficient excess ratio Cb is obtained in the following manner: Obtain the difference between the running state coefficient Zt and the running state coefficient threshold Ztx during the monitoring period to obtain the state coefficient difference; Obtain the sum and average of all state coefficient differences within multiple monitoring cycles to obtain the mean value of the state coefficient differences; The state coefficient difference mean value is processed by ratio with the state operation coefficient threshold value Ztx to obtain the state coefficient excess ratio, and the state coefficient excess ratio is marked as Cb; The state coefficient variance Fc is obtained as follows: The operating state coefficient Zt in multiple monitoring cycles is taken as a data group, and the variance of the operating state coefficient Zt in the data group is calculated to obtain the state coefficient variance, and the state coefficient variance is marked as Fc; The early warning analysis coefficient Yf is obtained as follows: Based on the state coefficient excess ratio Cb, risk continuity coefficient Fx, and state coefficient variance Fc, calculate the early warning analysis coefficient Yf; By formula: , the early warning analysis coefficient Yf is calculated, ln (e*Cb+f*Fx+g*Fc) is a logarithmic function with e as the base, where e, f, and g are preset proportional coefficients.

2. A method for monitoring the operation status of a power communication network according to claim 1, characterized in that: The operation state coefficient Zt is obtained as follows: Calculate the operation status coefficient Zt based on the sending delay time ratio Fs and the packet loss rate Db; By formula: , calculate the operating state coefficient Zt, where a and b are preset proportional coefficients; The operation analysis signal is obtained in the following manner: Compare the operating state coefficient Zt with the operating state coefficient threshold Ztx; If the operating state coefficient Zt≥the operating state coefficient threshold Ztx, an operating analysis signal is generated.

3. A method for monitoring the operation status of a power communication network according to claim 2, characterized in that: The sending delay time ratio Fs is obtained as follows: Obtain the time required for a single data packet to be sent from the sender's buffer to be received by the receiver during the monitoring period, and obtain the sending time; Compare the sending time with the sending standard time; If the sending time is higher than the standard sending time, the difference between the sending time and the standard sending time is calculated to obtain the sending delay time; Obtain the sending delay time of all data packets, sum and average the sending delay time of all data packets, and obtain the average sending delay time; The length of the monitoring cycle is obtained to obtain the monitoring duration, the average of the sending delay time and the monitoring duration are ratioed to obtain the sending delay time ratio, and the sending delay time ratio is marked as Fs; the packet loss rate Db is obtained as follows: In the process of obtaining the data packets from the sending end buffer to the receiving end in the communication network, the data packets that are not successfully delivered to the receiving end are marked as lost data packets; Obtain the number of all lost data packets, sum and average the number of all lost data packets, and obtain the mean value of data packet loss; Obtain the number of data packets sent during the monitoring period and obtain the total number of data packets sent; The packet loss rate is obtained by ratioing the mean value of packet loss to the total number of sent packets, and the packet loss rate is marked as Db.

4. A method for monitoring the operation status of a power communication network according to claim 1, characterized in that: The signal continuity coefficient is obtained as follows: Based on the continuous signal over-limit ratio Lx and signal interval ratio Jg, the risk continuity coefficient Fx is calculated; By formula: , the risk continuity coefficient Fx is calculated, where c and d are preset proportional coefficients.

5. A method for monitoring the operation status of a power communication network according to claim 4, characterized in that: The continuous signal over-limit ratio Lx is obtained as follows: Obtain the number of times the running analysis signal appears continuously in multiple monitoring cycles to obtain the number of continuous signals; Obtain the number of consecutive signals in multiple monitoring cycles, sum and average the number of consecutive signals in the multiple monitoring cycles, and obtain the average number of consecutive signals; Perform difference processing on the mean of the number of continuous signals and the threshold of the number of continuous signals to obtain the continuous signal over-bound difference; The continuous signal out-of-bounds difference is processed by ratio with the continuous signal number threshold to obtain the continuous signal out-of-bounds ratio, and the continuous signal out-of-bounds ratio is marked as Lx.

6. A method for monitoring the operation status of a power communication network according to claim 4, characterized in that: The signal interval ratio Jg is obtained as follows: Obtain the number of non-continuous occurrences of the running analysis signal within multiple monitoring cycles to obtain the signal interval number; Obtain the sum and average of all signal interval numbers within multiple monitoring cycles to obtain the signal interval average; When the operation analysis signals appear discontinuously, the monitoring period between two adjacent operation analysis signals is obtained to obtain the interval period; Obtain the number of interval periods in a plurality of monitoring periods, and sum the number of interval periods in the plurality of monitoring periods to obtain the total number of interval periods; The signal interval mean is ratioed to the total number of interval cycles to obtain the signal interval ratio, which is marked as Jg.

7. A method for monitoring the operation status of a power communication network according to claim 1, characterized in that: The generation method of the early warning signal is: Compare the early warning analysis coefficient Yf with the early warning analysis threshold coefficient Yfz; If the early warning analysis coefficient Yf ≥ the early warning analysis threshold coefficient Yfz, a warning signal is sent to the system.

8. A power communication network operation status monitoring system, characterized in that: The system is used to implement the monitoring method according to any one of claims 1 to 7, comprising: Data acquisition module: obtains data packet information in the power communication network, calculates the transmission delay time ratio Fs and the packet loss rate Db of the data packet, calculates the operation state coefficient Zt based on the transmission delay time ratio Fs and the packet loss rate Db, and the operation state coefficient Zt ≥ the operation state coefficient threshold Ztx, and generates an operation analysis signal; Data analysis module: based on the operation analysis signal, obtain the number of consecutive occurrences of the operation analysis signal in multiple monitoring cycles, obtain the number of continuous signals, and calculate it with the threshold of the number of continuous signals to obtain the continuous signal over-limit ratio Lx; obtain the number of monitoring cycles in which the operation analysis signal appears non-continuously in multiple monitoring cycles, obtain the number of signal intervals, calculate the number of signal intervals and the total number of interval cycles to obtain the signal interval ratio Jg; based on the continuous signal over-limit ratio Lx and the signal interval ratio Jg, calculate the risk continuity coefficient Fx; Early warning generation module: Calculate the operating status coefficient Zt and the operating status coefficient threshold Ztx to obtain the status coefficient excess ratio Cb, calculate the status coefficient variance Fc, and calculate the early warning analysis coefficient Yf based on the status coefficient excess ratio Cb, the risk continuity coefficient Fx and the status coefficient variance Fc. If the early warning analysis coefficient Yf ≥ the early warning analysis coefficient threshold Yfz, a warning signal is issued.

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