Network information digitization intelligent remote automatic control device

Abstract

The invention relates to the technical field of intelligent remote automatic control systems, and discloses a network information digitization intelligent remote automatic control device, which comprises the following steps: providing a remote automatic control system for realizing data interaction between user equipment and at least one remote device; and optimizing a data sending mechanism of the user equipment by applying a data preprocessing technology, including but not limited to reducing redundant data packets, adopting an efficient data coding strategy and the like, so as to compress the data volume and improve the data sending efficiency. According to the network information digitization intelligent remote automatic control device, by evaluating the network bandwidth and the congestion level in real time and dynamically adjusting the data sending frequency and the redundancy coding proportion, the system can reduce data packet loss caused by network condition fluctuation, so that the stability and the reliability of data transmission are improved, and the data transmission efficiency is improved. And a forward error correction code and a retransmission strategy adjusted according to a real-time loss rate are utilized, so that the correction capability of data transmission errors is further improved.

Description

Technical Field

[0001] The invention relates to the technical field of intelligent remote automatic control systems, in particular to a network information digital intelligent remote automatic control device. Background Art

[0002] An intelligent remote automatic control system is a highly automated system that allows users to remotely control and monitor various devices or processes without physical direct contact. This system usually integrates advanced control algorithms, sensors, actuators and communication technologies to achieve efficient, reliable and automated operations. However, the existing network information digital intelligent remote automatic control system has the problem of data transmission delay, which leads to a longer response time for remote control operations and easily leads to a decrease in control accuracy, affecting product quality or equipment stability. At the same time, the system cannot maintain a stable operating state, resulting in system crashes or data loss. Summary of the invention

[0003] The purpose of this section is to summarize some aspects of embodiments of the present invention and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section and the specification abstract and the invention title of this application to avoid blurring the purpose of this section, the specification abstract and the invention title, and such simplifications or omissions cannot be used to limit the scope of the present invention.

[0004] To achieve the above object, the present invention provides the following technical solutions:

[0005] Network information digital intelligent remote automatic control device, including:

[0006] Providing a remote automatic control system for realizing data interaction between a user device and at least one remote device;

[0007] Applying data preprocessing technology to optimize the data transmission mechanism of the user equipment, including but not limited to reducing redundant data packets, adopting efficient data encoding strategies and other measures to compress data volume and improve data transmission efficiency;

[0008] Data transmission is based on real-time communication protocols, and dynamic bandwidth adjustment and path optimization algorithms are used to improve data forwarding rates under network congestion conditions;

[0009] Implement synchronization and buffer management at the data receiving end to ensure that the received data can be reassembled and transmitted to the remote device in a short time, effectively alleviating the delay in data transmission.

[0010] As a further solution of the present invention: the data transmission based on the real-time communication protocol includes:

[0011] Real-time evaluation of currently available bandwidth;

[0012] Determining whether the network congestion level exceeds a preset first network status threshold;

[0013] Adjust the sending frequency based on the packet loss rate fed back in real time;

[0014] Select the optimal data forwarding strategy based on the current network conditions to reduce the packet loss rate.

[0015] As a further solution of the present invention: the adjustment of the sending frequency based on the packet loss rate of real-time feedback includes:

[0016] Get the ratio of the number of lost packets per unit time to the total number, expressed as

[0017]

[0018] Adjust the data retransmission strategy based on the calculated loss rate;

[0019] If the loss rate exceeds a second preset network status threshold, increasing the redundancy of the data packet;

[0020] Otherwise, maintain or reduce redundancy to save bandwidth.

[0021] As a further solution of the present invention: the retransmission strategy of adjusting data based on the calculated loss rate also includes:

[0022] If (loss rate > second preset network status threshold), forward error correction code is used to improve data redundancy to ensure accuracy;

[0023] Adjust the coding parameters (p FEC ), if (loss rate>threshold2) then Increase the coding coefficient to enhance redundancy and improve error correction capability, otherwise reduce it appropriately (p FEC ).

[0024] As a further solution of the present invention: the process of adjusting the coding coefficients when executing the forward error correction strategy also includes:

[0025] Calculate the original encoding ratio (p0) and record the current bandwidth usage;

[0026] The bandwidth (b(t)) is adjusted based on real-time network feedback (ΔB), where (ΔB tolerance / 10%), indicating that the encoding ratio can be safely increased Otherwise, if (ΔB ≥ b tolerance

[0027] / 10%), which will reduce the proportion of redundant coding to​

[0028] As a further solution of the present invention: the specific operation steps of adjusting the redundant coding ratio based on the current network conditions also include:

[0029] If the adjusted encoding parameters are used according to the above bandwidth It is found that the data transmission speed has dropped beyond the tolerance range (v tol ), then adjust the redundant coding ratio back to the previous state value

[0030] On the contrary, if the new coding ratio still maintains the network condition (v transmission at t ≥v tol ), then keep the current ratio and continue working;

[0031] Continuously detect bandwidth changes and periodically update accordingly (p FEC )parameter;

[0032] If (b(t+Δt)>b(t)) indicates that the bandwidth has increased, the redundancy ratio can be further increased; otherwise, if it has decreased, the redundancy can be appropriately reduced to maintain high efficiency.

[0033] As a further solution of the present invention: the data transmission based on the real-time communication protocol specifically includes:

[0034] Dynamically select UDP or TCP as the communication protocol based on the current network conditions;

[0035] When it is detected that the network congestion level L is higher than a predetermined value T, it automatically switches to a transmission protocol with error correction capability;

[0036] Calculate the transmission time T for each batch of data, and enable the backup path when the average transmission time Ta exceeds the preset threshold Tm;

[0037] Before data is sent, whether to activate the path optimization function is determined based on the comparison result between the packet loss rate P and the threshold R.

[0038] As a further solution of the present invention: when it is detected that the network congestion level L is higher than a predetermined value T, the step of automatically switching to a transmission protocol with error correction capability further comprises:

[0039] Detect and analyze the packet loss ratio LP and retransmission ratio RP, and calculate the actual throughput through the network conditions a ;

[0040] If the actual throughput a and the maximum throughput m ax the ratio X = Throughput a / hroughput m ax decreases below a pre - set ratio value X Threshold, that is, if X < Xthreshold, the protocol switch is triggered;

[0041] Check each protocol support feature in the list Lst P of the replaceable real - time communication protocol and sort them according to their features in order of priority;

[0042] Select the best alternative protocol Protocol that best matches the current network environment and data transmission requirements from them according to the optimal path selection algorithm a Perform an automatic switching operation.

[0043] As a further solution of the present invention: the triggering of the protocol switch when X < Xthreshold includes:

[0044] Based on the current change speed Vc of the congestion window, evaluate the continuous growth or stable trend of the network congestion degree, that is, if Vc exceeds the set threshold Vs (if Vc > Vs, it is determined that the congestion is increasing, otherwise it is determined to be in a stable state or a decreasing state);

[0045] For each batch of packets marked for re - transmission, count, accumulate and record the number of re - transmission error times EC within a certain time, and determine whether it reaches the preset threshold Et (if EC ≥ Et, it is regarded as serious congestion);

[0046] Integrate the ratio of the current connection packet loss ratio LR to the normal range Rf (Y = LR / Rf, if Y < Ythreshold, it means that the network quality begins to deteriorate, otherwise it is within the controllable range);

[0047] Judge whether the current congestion window size cwnd is less than the lowest threshold Tthreshold (if so, it means that the path needs to be changed and the protocol may be switched to improve the transmission reliability).

[0048] As a further solution of the present invention: the condition for determining that the network is in an uncontrollable range is:

[0049] Verify that the packet loss ratio PL on the real - time communication path is compared with the threshold Pc to determine whether it exceeds the threshold (when PL > Pc, it is regarded as one of the unacceptable states);

[0050] Monitor the number of retransmissions RC and compare it with the critical number Ck (when RC ≥ Ck, it indicates that it has entered a serious unstable state);

[0051] The path delay TD and the standard delay Ds are checked for deviation. When the delay exceeds the normal range, specifically, the absolute value of the difference between TD and Ds is greater than the threshold Td, that is, (|TD–Ds|>Td), this state is considered to be seriously abnormal.

[0052] After detecting the retransmission limit, the relationship between the connection disconnection time DO and the recovery threshold Dmin is further examined to determine the final action plan. If DO>Dmin, it is determined that the network connection has completely failed to recover normally and emergency measures must be taken to switch to a better line and adjust the corresponding communication layer protocol to adapt to the new environment requirements;

[0053] The emergency state determination logic specifically includes:

[0054] Use the real-time monitoring system to collect the packet loss ratio Pf and the historical highest ratio Pl, (

[0055] Assuming Pf>=Pl*M, it is confirmed that the risk of sudden data loss M is a preset multiple);

[0056] Observe and count the number of circuit breaker events DF that occurred in the last N seconds and compare it with the warning upper limit Nt to evaluate the frequency (when DF / N>=Nt / total monitoring time period, it is confirmed as a high-incidence area and requires immediate response);

[0057] Accumulate and analyze the recent round-trip time RTTs of data packets, compare them with the theoretical minimum value Tmin, and calculate the fluctuation ratio (BVR = (max (RTTs) min (RTTs)) / (2*T m in), when BVR>B, it means severe volatility and B is the warning value);

[0058] The jitter amplitude JD of the metering network, that is, the standard deviation σ per unit time, is compared with the stability index St. If (σ / St>S) (that is, the fluctuation is significant per unit time), a timely emergency countermeasure processing mechanism should be adopted.

[0059] Compared with the prior art, the present invention has the following beneficial effects:

[0060] By evaluating network bandwidth and congestion levels in real time and dynamically adjusting data transmission frequency and redundant coding ratio, the system can reduce packet loss caused by fluctuations in network conditions, thereby improving the stability and reliability of data transmission. By using forward error correction codes and retransmission strategies adjusted according to real-time loss rates, the ability to correct data transmission errors is further improved, reducing the impact of data noise on communication quality. The capabilities of this device are not limited to processing static communication settings, but can dynamically select the optimal communication protocol (such as switching between TCP and UDP) according to the current network conditions, and automatically switch to a protocol with higher error correction capabilities when necessary to ensure optimal performance of network communications, including the use of backup paths and path optimization functions, which can respond quickly to poor network conditions, reduce data transmission delays and increase data transmission speeds. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] Figure 1 This is the system schematic diagram of the network information digital intelligent remote automatic control device. DETAILED DESCRIPTION

[0062] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and understandable, the specific implementation modes of the present invention are described in detail below in conjunction with the accompanying drawings.

[0063] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0064] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0065] Example

[0066] See also Figure 1 , is an embodiment of the present invention, which provides a network information digitization intelligent remote automatic control device, comprising the following steps:

[0067] Step 1: System deployment: Install the hardware interface, data preprocessing module, real-time communication protocol module, synchronization and buffer management module on the user device;

[0068] Configure the appropriate receiving and processing hardware and software on the remote device;

[0069] Step 2: Data preprocessing:

[0070] Analyze the data to be sent by the user equipment, identify and remove redundant information;

[0071] Apply data compression algorithms, such as LZ77 or Huffman coding, to reduce data size;

[0072] Adopt efficient data encoding strategies based on data characteristics and transmission requirements;

[0073] Step 3: Real-time communication protocol settings:

[0074] Real-time evaluation of current network bandwidth;

[0075] Determining whether the network congestion level exceeds a preset first network status threshold;

[0076] Adjust the data transmission frequency according to the real-time feedback of the packet loss rate;

[0077] Select the optimal data forwarding path to reduce packet loss rate;

[0078] Step 4: Synchronization and buffer management:

[0079] Perform synchronization and buffer management at the data receiving end;

[0080] Ensure that received data can be reassembled and delivered to remote devices in a short time;

[0081] Effectively alleviate the delay in data transmission;

[0082] Step 5: Adjust the sending frequency based on the packet loss rate:

[0083] Get the ratio of the number of lost packets to the total number per unit time;

[0084] Adjust the data retransmission strategy based on the calculated loss rate;

[0085] If the loss rate exceeds a second preset network status threshold, increasing the redundancy of the data packet;

[0086] Otherwise, maintain or reduce redundancy to save bandwidth;

[0087] Step 6: Path optimization and data forwarding:

[0088] Calculate and select the optimal data transmission path;

[0089] When the network is congested, path switching is implemented to increase the data forwarding rate;

[0090] Step 7: Dynamically select the communication protocol:

[0091] Dynamically select UDP or TCP as the communication protocol based on network conditions;

[0092] When it is detected that the network congestion level L is higher than a predetermined value T, it automatically switches to a transmission protocol with error correction capability;

[0093] Step 8: Enable the backup path:

[0094] Calculate the data transmission time T, and enable the backup path when it is found that the average transmission time Ta exceeds the preset threshold Tm;

[0095] Before data is sent, whether to activate the path optimization function is determined based on the comparison between the packet loss rate P and the threshold R;

[0096] Step 9: Determination and countermeasures of emergency status:

[0097] Detect and analyze the packet loss ratio LP and retransmission ratio RP, and calculate the actual throughput based on the network conditions;

[0098] If the ratio of the actual throughput to the maximum throughput drops below a preset ratio value, a protocol switch is triggered;

[0099] Check the supported features of each protocol in the list of alternative real-time communication protocols and prioritize them by their features;

[0100] Select the best alternative protocol that best matches the current network environment and data transmission requirements according to the optimal path selection algorithm to perform automatic switching operations;

[0101] Step 10: Continuous monitoring and parameter update:

[0102] Continuously detect bandwidth changes and periodically update parameters accordingly;

[0103] If the bandwidth increases, the redundancy ratio can be further increased; otherwise, if it decreases, the redundancy can be appropriately reduced to maintain high efficiency.

[0104] In summary, by real-time evaluation of network bandwidth and congestion level and dynamic adjustment of data transmission frequency and redundant coding ratio, the system can reduce data packet loss caused by fluctuations in network conditions, thereby improving the stability and reliability of data transmission. By using forward error correction codes and retransmission strategies adjusted according to real-time loss rates, the ability to correct data transmission errors is further improved, and the impact of data noise on communication quality is reduced. Moreover, the capabilities of this device are not limited to processing static communication settings, but can dynamically select the optimal communication protocol (such as switching between TCP and UDP) according to the current network conditions, and automatically switch to a protocol with higher error correction capabilities when necessary to ensure the best performance of network communications, including the use of backup paths and path optimization functions, which can quickly respond to poor network conditions, reduce data transmission delays and improve data transmission speeds.

[0105] The system sets a series of preset network status thresholds (such as network congestion level thresholds, packet loss rate thresholds) and intelligent decision-making mechanisms based on these thresholds, allowing the device to adjust its operation strategy in various network environments, making the system operation more flexible and effective. Continuous monitoring and periodic parameter updates ensure that the device always operates in the best state, reducing the need for manual intervention.

[0106] The device continuously adjusts its transmission strategy by collecting and analyzing real-time feedback during data transmission, such as bandwidth usage, packet loss rate, and retransmission rate. This self-learning and adaptive capability is not available in traditional remote control systems. This highly dynamic adjustment can cope with rapidly changing network conditions and ensure maximum efficiency and stability during data transmission.

[0107] Importantly, it should be noted that the construction and arrangement of the present application shown in a plurality of different exemplary embodiments are only exemplary. Although only a few embodiments are described in detail in this disclosure, it should be readily understood by those who refer to this disclosure that many modifications are possible (e.g., the size, scale, structure, shape and proportion of various elements, and parameter values ​​(e.g., temperature, pressure, etc.), installation arrangement, use of materials, color, directional changes, etc.) without substantially departing from the novel teachings and advantages of the subject matter described in the application. For example, the element shown as integrally formed can be composed of multiple parts or elements, the position of the element can be inverted or otherwise changed, and the nature or number or position of the discrete element can be changed or changed. Therefore, all such modifications are intended to be included in the scope of the present invention. The order or sequence of any process or method steps can be changed or reordered according to alternative embodiments. In the claims, any "device plus function" clause is intended to cover the structure of performing the function described herein, and is not only structurally equivalent but also equivalent structure. Without departing from the scope of the present invention, other replacements, modifications, changes and omissions can be made in the design, operating conditions and arrangement of the exemplary embodiments. Therefore, the invention is not limited to a specific embodiment, but extends to numerous modifications still falling within the scope of the appended claims.

[0108] Additionally, in order to provide a concise description of exemplary embodiments, all features of an actual embodiment (ie, those features that are not relevant to the best mode presently contemplated for carrying out the invention or those that are not relevant to implementing the invention) may not be described.

[0109] It will be appreciated that in the development of any actual implementation, as in any engineering or design project, numerous implementation-specific decisions may be made. Such a development effort may be complex and time-consuming, but will be a routine task of design, fabrication, and production for those of ordinary skill having the benefit of this disclosure without undue experimentation.

[0110] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. Network information digital intelligent remote automatic control device, characterized by: Including: Providing a remote automatic control system for realizing data interaction between a user device and at least one remote device; Applying data preprocessing technology to optimize the data sending mechanism of the user device, including but not limited to measures such as reducing redundant data packets and adopting efficient data encoding strategies to compress the data volume and improve the data sending efficiency; Conducting data transmission based on a real-time communication protocol, and improving the data forwarding rate under network congestion conditions through dynamic bandwidth adjustment and path optimization algorithms; Implementing synchronization and buffering management at the data receiving end to ensure that the received data can be recombined and transmitted to the remote device within a short time, effectively alleviating the delay phenomenon in data transmission.

2. The network information digital intelligent remote automatic control device according to claim 1 is characterized by: The data transmission based on the real-time communication protocol includes: Evaluating the currently available bandwidth in real time; Judging whether the network congestion level exceeds a preset first network state threshold; Adjusting the sending frequency based on the packet loss rate feedback in real time; Selecting the optimal data forwarding strategy according to the current network conditions to reduce the packet loss rate.

3. The network information digital intelligent remote automatic control device according to claim 2 is characterized by: The adjusting the sending frequency based on the packet loss rate feedback in real time includes: Get the ratio of the number of lost packets per unit time to the total number, expressed as the loss rate Adjusting the data retransmission strategy based on the calculated loss rate; If the loss rate exceeds the second preset network state threshold, increasing the redundancy of the data packets; Otherwise, maintaining or reducing the redundancy to save bandwidth.

4. The network information digital intelligent remote automatic control device according to claim 3 is characterized by: The adjusting the data retransmission strategy based on the calculated loss rate further includes: If (the loss rate > the second preset network state threshold), then adopting a forward error correction code to improve data redundancy to ensure accuracy; Adjust the coding parameters (p FEC ),like (loss rate>threshold2) Increase the coding coefficient to enhance redundancy and improve error correction capability, otherwise reduce it appropriately (p FEC ).

5. The network information digital intelligent remote automatic control device according to claim 4 is characterized in that: The process of adjusting the encoding coefficient when implementing the forward error correction strategy further includes: Calculating the original coding ratio (p0) and recording the current bandwidth usage; The bandwidth (b(t)) is adjusted based on real-time network feedback (ΔB), where (ΔB tolerance / 10%), indicating that the encoding ratio can be safely increased Otherwise, if (ΔB ≥ b tolerance / 10%), which will reduce the proportion of redundant coding to ​ 6. The network information digital intelligent remote automatic control device according to claim 5 is characterized by: The specific operation steps for adjusting the redundant coding ratio based on the current network conditions further include: If the adjusted encoding parameters are used according to the above bandwidth It is found that the data transmission speed has dropped beyond the tolerance range (v tol ), then adjust the redundant coding ratio back to the previous state value On the contrary, if the new coding ratio still maintains the network condition (v transmissionatt ≥v tol ), then keep the current ratio and continue working; Continuously detect bandwidth changes and periodically update accordingly (p FEC )parameter; If (b(t + Δt) > b(t)) indicates an increase in bandwidth, then the redundancy ratio can be further increased; otherwise, if it decreases, the redundancy is moderately reduced to maintain efficiency.

7. The network information digital intelligent remote automatic control device according to claim 1 is characterized by: The data transmission based on the real-time communication protocol specifically further includes: Dynamically selecting UDP or TCP as the communication protocol according to the current network conditions; When detecting that the network congestion level L is higher than a predetermined value T, automatically switching to a transmission protocol with error correction capabilities; Calculating the transmission time T for each batch of data, and enabling an alternative path when it is found that the average transmission time Ta exceeds a preset threshold Tm; Before data sending, deciding whether to activate the path optimization function according to the result of comparing the packet loss rate P with the threshold R.

8. The network information digital intelligent remote automatic control device according to claim 7 is characterized by: The step of automatically switching to a transmission protocol with error correction capabilities when detecting that the network congestion level L is higher than a predetermined value T further includes: Detect and analyze the packet loss ratio LP and retransmission ratio RP, and calculate the actual throughput through the network conditions a ; If the actual throughput a and the maximum throughput max have a ratio X = Throughput a / Throughput max that drops below a pre - set ratio value X Threshold, i.e., if X < Xthreshold, then trigger protocol switching; Check the list of alternative real-time communication protocols Lst P Each protocol in rotocol supports features and is prioritized by their features; Select the best alternative protocol that best matches the current network environment and data transmission requirements based on the optimal path selection algorithm a Perform automatic switching operation.

9. The network information digital intelligent remote automatic control device according to claim 8 is characterized by: The triggering of protocol switching if X < Xthreshold includes: Evaluating the continuous growth or stable trend of the network congestion degree based on the current congestion window change speed Vc, that is, if Vc exceeds a set threshold Vs (if Vc > Vs, it is determined that the congestion is increasing, otherwise it is determined to be in a stable state or a decreasing state); Counting, accumulating, and recording the number of retransmission errors EC within a certain time for each batch of data packets marked for retransmission, and judging whether it reaches a preset threshold Et (if EC ≥ Et, it is regarded as serious congestion); Integrate the ratio of the current connection packet loss ratio LR to the normal range Rf (Y = LR / Rf. If Y < Ythreshold, it indicates that the network quality starts to deteriorate; otherwise, it is within the controllable range). Judge whether the current congestion window size cwnd is less than the minimum threshold Tthreshold (if so, it means that the path needs to be changed and the protocol may be switched to improve transmission reliability).

10. The network information digital intelligent remote automatic control device according to claim 9, characterized in that: The condition for determining that the network is in an uncontrollable range is as follows: Verify by comparing the packet loss ratio PL on the real-time communication path with the threshold Pc to determine whether the threshold is exceeded (when PL > Pc, it is regarded as one of the unacceptable states). Monitor the number of retransmission times RC and compare it with the critical number Ck (when RC ≥ Ck, it indicates that it has entered a serious unstable state). Conduct a deviation test on the path delay TD and the standard delay Ds. When the delay exceeds the normal range, specifically, when the absolute value of the difference between TD and Ds is greater than the threshold Td (|TD – Ds| > Td), this state is regarded as seriously abnormal. After detecting that the retransmission exceeds the limit, further examine the relationship between the connection disconnection time DO and the recovery threshold Dmin to determine the final action plan. If DO > Dmin, it is determined that the network connection has completely failed to recover normally and emergency measures must be taken to switch to a better line and adjust the corresponding communication layer protocol to adapt to the new environmental requirements. The specific emergency state determination logic further includes: Use the real-time monitoring system to collect the packet loss ratio Pf and the historical highest ratio Pl.( Assume that Pf >= Pl * M, then confirm that the risk of sudden data loss occurs, where M is a pre-set multiple). Observe and count the number of disconnection events DF occurring within the last N seconds and compare it with the warning upper limit Nt to evaluate the frequency (when DF / N >= Nt / total monitoring time period, it is confirmed as a high-incidence area and immediate response is required). Accumulate and analyze the recent round-trip time RTTs of data packets, compare them with the theoretical minimum value Tmin, and calculate the fluctuation ratio (BVR = (max (RTTs) min (RTTs)) / (2*T m in), when BVR>B, it means severe volatility and B is the warning value); Measure the network jitter amplitude JD, that is, the standard deviation σ per unit time, and compare it with the stability index St. If (σ / St > S) (i.e., significant fluctuations per unit time), a timely emergency countermeasure processing mechanism should be adopted.

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