Multi-terminal serial data transmission interactive system and method based on communication network

Abstract

The present invention belongs to the technical field of data transmission supervision, and specifically is a multi-terminal serial data transmission interaction system and method based on a communication network, wherein the system includes a data initiator, a serial data processing node module, a data receiving end, a communication monitoring management module, an emergency decision module and a background supervision end; the present invention preliminarily encapsulates the data to be transmitted through the data initiator and sends it to the serial data processing node module, each data processing node in the serial data processing node module is responsible for a specific data processing task, and after being processed by all data processing nodes, the data receiving end receives and parses the data, thereby improving the efficiency of data processing and transmission, and the communication monitoring management module monitors the entire data transmission process of the data transmission link in real time to identify abnormalities in the data transmission process, thereby ensuring the efficiency, security and reliability of data transmission, and making the data transmission process more controllable and predictable.

Description

Technical Field

[0001] The present invention relates to the technical field of data transmission supervision, and in particular to a multi-terminal serial data transmission interaction system and method based on a communication network. Background Art

[0002] With the rapid development of information technology, data communication has become an indispensable part of modern society. Traditional data transmission methods are mainly parallel transmission and simple serial transmission;

[0003] However, when dealing with large-scale, high-concurrency, multi-node data transmission needs, especially in scenarios where multi-end collaboration is required, traditional data transmission methods are difficult to ensure the integrity, security, and efficiency of data during transmission, and are unable to make accurate and progressive judgments on the degree of communication transmission risks and issue timely warnings, which is not conducive to the reasonable formulation of subsequent communication transmission supervision plans;

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The purpose of the present invention is to provide a multi-terminal serial data transmission interaction system and method based on a communication network, which solves the problem that the prior art is difficult to ensure the integrity, security and efficiency of data during the transmission process, and is unable to make a gradual and progressive accurate judgment on the degree of communication transmission risks and timely warn, which is not conducive to the reasonable formulation of subsequent communication transmission supervision plans and has a low degree of intelligence.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] A multi-terminal serial data transmission interactive system based on a communication network includes a data initiator, a serial data processing node module, a data receiving end, a communication monitoring management module, an emergency decision-making module and a background supervision end; in the data transmission link, the data initiator is connected to the first data processing node of the serial data processing node module through the communication network, the data initiator preliminarily encapsulates the data to be transmitted, and when the data initiator prepares the data to be transmitted, the data is sent to the first data processing node in the serial data processing node module through the communication network;

[0008] Each data processing node in the serial data processing node module communicates with the previous data processing node and the next data processing node through the communication network, and the previous data processing node sends the processed data to the next data processing node through the communication network, and so on, until the data reaches the last data processing node;

[0009] The data receiving end is connected to the last data processing node in the serial data processing node module through the communication network. After being processed by all data processing nodes, the data is transmitted to the data receiving end through the communication network. The data receiving end receives and parses the data to restore the original data or obtain the processed results; the communication monitoring management module monitors the entire data transmission process of the data transmission link in real time, identifies anomalies in the data transmission process, and sends the anomaly information to the emergency decision-making module and the background supervision end after identifying the anomaly. The emergency decision-making module automatically performs corresponding adjustment operations based on the anomaly information.

[0010] Furthermore, the communication network supports multiple communication protocols and data formats. Each data processing node in the serial data processing node module is responsible for specific data processing tasks, including encryption, compression and verification; the communication monitoring management module is used to monitor data transmission speed, node status and error handling.

[0011] Furthermore, the data transmission speed is monitored as follows:

[0012] Acquire data transmission speed information on the data transmission link in real time to determine whether data transmission is smooth and whether there is a bottleneck. If the data transmission speed is slow or there is a bottleneck, the emergency decision-making module automatically adjusts the transmission strategy, including increasing bandwidth and optimizing network configuration; and dynamically allocates bandwidth resources according to network load conditions to improve overall data transmission efficiency.

[0013] Furthermore, the node status is monitored as follows:

[0014] Status detection: Real-time detection of the status of each data processing node, including CPU usage, memory usage, and disk I / O indicators; these indicators are used to determine whether each data processing node is operating normally and whether there is an overload or failure risk;

[0015] Fault warning: If a data processing node is detected to have an adverse condition, including high CPU usage and large memory usage, a fault warning will be issued immediately; the warning information includes the location of the abnormal node, the type of abnormality, and the severity;

[0016] Automatic recovery: For some faults that can be automatically recovered, including short-term memory leaks or CPU overloads, the emergency decision module automatically recovers by restarting the node or releasing resources; if automatic recovery fails, a detailed fault report is generated and sent to the background supervision end.

[0017] Furthermore, error handling monitoring is as follows:

[0018] Error detection: By comparing the data packets at the data sending end and the data receiving end, it can be determined whether there is a problem in the data transmission process, and errors in the data transmission process can be detected in real time, including data loss, data corruption and transmission timeout;

[0019] Error logging: Detailed records of detected errors, including error type, occurrence time, and impact scope, will be used as a basis for subsequent analysis and improvement;

[0020] Error handling: Different handling measures are taken according to the type and severity of the error; for minor errors, the emergency decision module attempts to recover by retransmitting data packets or correcting erroneous data; for serious errors, the emergency decision module immediately notifies the administrator of the background supervision end for manual processing and generates a detailed error report for the administrator's reference.

[0021] Furthermore, the communication monitoring management module is communicatively connected with the communication hidden danger analysis module. The communication monitoring management module sends abnormal information of the data transmission process to the communication hidden danger analysis module. The communication hidden danger analysis module is used to set a detection period, analyze the communication hidden dangers in the detection period, generate a high communication hidden danger signal or a low communication hidden danger signal through analysis, and send the high communication hidden danger signal or the low communication hidden danger signal to the background supervision end. When the background supervision end receives the high communication hidden danger signal, an alarm sound is emitted.

[0022] Furthermore, the specific analysis process of the communication hidden danger analysis module is as follows:

[0023] Several detection periods are set within the detection period, and the duration of all detection periods is the same; the number of abnormal information received in the corresponding detection period is collected and marked as a period abnormal value, and the period abnormal values ​​of all detection periods are calculated by mean and variance to obtain an abnormal distribution performance value and an abnormal distribution fluctuation value;

[0024] The abnormal distribution performance value and the abnormal distribution fluctuation value are numerically compared with the preset abnormal distribution performance threshold and the preset abnormal distribution fluctuation threshold respectively. If the abnormal distribution performance value exceeds the preset abnormal distribution performance threshold and the abnormal distribution fluctuation value does not exceed the preset abnormal distribution fluctuation threshold, a high communication risk signal is generated; in other cases, a precise analysis of communication risks is performed.

[0025] Furthermore, the specific analysis process of accurate analysis of communication risks is as follows:

[0026] All kinds of anomalies that occur in the data transmission process during the detection period are obtained, and the number of occurrences of the corresponding kinds of anomalies is marked as the matching frequency. All tracking durations of the corresponding kinds of anomalies are obtained, and the number of tracking durations that exceed the corresponding preset tracking duration threshold is marked as the tracking anomaly detection value; the matching frequency and the tracking anomaly detection value are numerically compared with the preset matching frequency threshold and the preset tracking anomaly detection threshold, respectively. If the matching frequency or the tracking anomaly detection value exceeds the corresponding preset threshold, the corresponding kind of anomaly is marked as a hidden danger anomaly;

[0027] If there is a hidden danger anomaly during the detection period, a communication high hidden danger signal is generated; if there is no hidden danger anomaly during the detection period, the tracking abnormal detection values ​​of all types of abnormalities occurring during the detection period are summed up to obtain a tracking abnormal table value, and the matching frequencies of all types of abnormalities occurring during the detection period are summed up to obtain a communication abnormal frequency value;

[0028] And the time period abnormal value is numerically compared with the preset time period abnormal threshold. If the time period abnormal value exceeds the preset time period abnormal threshold, the corresponding detection time period is marked as a communication fluctuation time period; the number of communication fluctuation time periods in the detection period is obtained and the ratio is calculated with the total number of detection time periods to obtain the communication wave detection value, and the communication hidden danger characteristic value is obtained by numerically calculating the tracking abnormal table value, the communication abnormal frequency value and the communication wave detection value. The communication hidden danger characteristic value is numerically compared with the preset communication hidden danger characteristic threshold. If the communication hidden danger characteristic value exceeds the preset communication hidden danger characteristic threshold, a high communication hidden danger signal is generated; if the communication hidden danger characteristic value does not exceed the preset communication hidden danger characteristic threshold, a low communication hidden danger signal is generated.

[0029] Furthermore, the communication hidden danger analysis module is communicatively connected with the exception handling tracking module, and the exception handling tracking module tracks the exceptions in the data transmission process, marks the time when the exception in the corresponding data transmission process occurs as the first time, marks the time when the corresponding exception is resolved as the second time, calculates the time difference between the first time and the second time to obtain the tracking duration, and sends the tracking duration of the corresponding exception to the communication hidden danger analysis module.

[0030] Furthermore, the present invention also proposes a multi-terminal serial data transmission interaction method based on a communication network, comprising the following steps:

[0031] Step 1: The data initiator preliminarily encapsulates the data to be transmitted. When the data initiator is ready to transmit the data, it sends the data to the first data processing node in the serial data processing node module through the communication network;

[0032] Step 2: Data is transmitted sequentially between each data processing node in the serial data processing node module, and the data processed by each data processing node will be used as the input of the next data processing node;

[0033] Step 3: After being processed by all data processing nodes, the data receiving end receives the data transmitted by the last data processing node and parses the data to restore the original data or obtain the processed results;

[0034] Step 4: The communication monitoring management module monitors the entire data transmission process of the data transmission link in real time and identifies abnormalities in the data transmission process;

[0035] Step 5: After the anomaly is identified, the anomaly information is sent to the emergency decision-making module and the background supervision end. The emergency decision-making module automatically makes corresponding adjustments based on the anomaly information.

[0036] Compared with the prior art, the present invention has the following beneficial effects:

[0037] 1. In the present invention, multiple data processing nodes are connected in series to form a data processing pipeline, thereby improving the efficiency of data processing and transmission, enhancing the confidentiality and integrity of data, and monitoring the entire data transmission process of the data transmission link in real time through the communication monitoring management module to identify abnormalities in the data transmission process, thereby ensuring the efficiency, security and reliability of data transmission, and making the data transmission process more controllable and predictable;

[0038] 2. In the present invention, the abnormal information of the data transmission process is sent to the communication hidden danger analysis module through the communication monitoring management module. The communication hidden danger analysis module analyzes the degree of communication transmission hidden dangers during the detection period, and can gradually and accurately determine the degree of communication transmission hidden dangers during the detection period and issue timely warnings to remind management personnel to make corresponding reasonable improvement measures, ensure the subsequent communication transmission security and communication transmission stability, and facilitate the formulation of subsequent communication transmission management plans, with a high degree of intelligence. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to facilitate understanding by those skilled in the art, the present invention is further described below in conjunction with the accompanying drawings;

[0040] Figure 1 This is a system block diagram of Embodiment 1 of the present invention;

[0041] Figure 2 This is a system block diagram of Embodiment 2 of the present invention;

[0042] Figure 3 This is a flow chart of the method of Embodiment 3 of the present invention. DETAILED DESCRIPTION

[0043] 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.

[0044] Embodiment 1: Figure 1 As shown, the multi-terminal serial data transmission interactive system based on the communication network proposed by the present invention includes a data initiator, a serial data processing node module, a data receiver, a communication monitoring management module, an emergency decision module and a background supervision terminal;

[0045] In the data transmission link, the data initiator is connected to the first data processing node of the serial data processing node module through the communication network (the communication network serves as a medium for data transmission, supports multiple communication protocols and data formats, and ensures reliable transmission of data between different nodes). The data initiator preliminarily encapsulates the data to be transmitted. When the data initiator prepares the data to be transmitted, it sends the data to the first data processing node in the serial data processing node module through the communication network.

[0046] The serial data processing node module is composed of multiple data processing nodes connected in series in sequence. Each data processing node in the serial data processing node module communicates with the previous data processing node and the next data processing node through the communication network. The previous data processing node sends the processed data to the next data processing node through the communication network, and so on, until the data reaches the last data processing node. It should be noted that each data processing node in the serial data processing node module is responsible for specific data processing tasks, such as encryption, compression and verification.

[0047] By connecting multiple data processing nodes in series to form a data processing pipeline, each node focuses on a specific processing task, which improves the efficiency of data processing and transmission. In addition, the data is processed by multiple data processing nodes during the transmission process, such as encryption and verification, which enhances the confidentiality and integrity of the data.

[0048] The data receiving end is connected to the last data processing node in the serial data processing node module through a communication network. After being processed by all data processing nodes, the data is transmitted to the data receiving end through the communication network. The data receiving end receives and parses the data to restore the original data or obtain the processed results.

[0049] The communication monitoring and management module monitors the entire data transmission process of the data transmission link in real time (including monitoring data transmission speed, node status and error handling, etc.), identifies anomalies in the data transmission process, and sends the anomaly information to the emergency decision-making module and the background supervision end after identifying the anomaly. The emergency decision-making module automatically makes corresponding adjustments based on the anomaly information; by real-time monitoring and management of each link in the data transmission process, the efficiency, security and reliability of data transmission are ensured, and comprehensive monitoring and management means are provided for administrators, making the data transmission process more controllable and predictable.

[0050] Specifically, data transmission speed monitoring includes: obtaining data transmission speed information on the data transmission link in real time, judging whether data transmission is smooth and whether there is a bottleneck. If the data transmission speed is slow or there is a bottleneck, the transmission strategy is automatically adjusted through the emergency decision-making module, such as increasing bandwidth and optimizing network configuration; and bandwidth resources can be dynamically allocated according to network load conditions to improve overall data transmission efficiency.

[0051] Node status monitoring is specifically as follows: Status detection: Real-time detection of the status of each data processing node, such as key indicators such as CPU usage, memory usage, and disk I / O; through these indicators, it is determined whether each data processing node is running normally and whether there is a risk of overload or failure;

[0052] Fault warning: If a data processing node is detected to have an adverse condition, including high CPU usage and large memory usage, a fault warning will be issued immediately; the warning information includes the location of the abnormal node, the type of abnormality, and the severity, so that the administrator can quickly locate and handle the problem;

[0053] Automatic recovery: For some faults that can be automatically recovered, such as short-term memory leaks or CPU overloads, the emergency decision module automatically recovers by restarting the node or releasing resources; if automatic recovery fails, a detailed fault report is generated and sent to the background supervision end for further analysis and processing by the administrator.

[0054] Error handling monitoring is specifically as follows: Error detection: By comparing the data packets at the data sending end and the data receiving end, it is determined whether there is a problem with the data during transmission. It can detect errors in the data transmission process in real time, such as data loss, data corruption, and transmission timeout;

[0055] Error records: Detailed records are kept for detected errors, including error type, occurrence time, and impact scope, etc. These records can be used as a basis for subsequent analysis and improvement;

[0056] Error handling: Different handling measures are taken according to the type and severity of the error; for minor errors, the emergency decision module attempts to recover by retransmitting data packets or correcting erroneous data; for serious errors, the emergency decision module immediately notifies the administrator of the background supervision end for manual processing and generates a detailed error report for the administrator's reference.

[0057] Embodiment 2: Figure 2 As shown, the difference between this embodiment and the first embodiment is that the communication monitoring management module is connected to the communication hidden danger analysis module, the communication monitoring management module sends the abnormal information of the data transmission process to the communication hidden danger analysis module, and the communication hidden danger analysis module is used to set a detection period, preferably, the detection period is twenty days; analyze the communication hidden dangers during the detection period, and generate a communication high hidden danger signal or a communication low hidden danger signal through analysis;

[0058] And the communication high hidden danger signal or communication low hidden danger signal is sent to the background monitoring end. When the background monitoring end receives the communication high hidden danger signal, it will send out an alarm sound, which can gradually and accurately judge the degree of communication transmission hidden danger during the detection period and issue a warning in time to remind the management personnel to take corresponding improvement measures, ensure the subsequent communication transmission security and communication transmission stability, and facilitate the formulation of subsequent communication transmission management plans. The specific analysis process of the communication hidden danger analysis module is as follows:

[0059] Several detection periods are set within the detection period, and the duration of all detection periods is the same; the number of abnormal information received in the corresponding detection period is collected and marked as a period abnormal value, and the period abnormal values ​​of all detection periods are calculated by mean and variance to obtain an abnormal distribution performance value and an abnormal distribution fluctuation value;

[0060] The abnormal distribution performance value and the abnormal distribution fluctuation value are numerically compared with the preset abnormal distribution performance threshold and the preset abnormal distribution fluctuation threshold, respectively. If the abnormal distribution performance value exceeds the preset abnormal distribution performance threshold and the abnormal distribution fluctuation value does not exceed the preset abnormal distribution fluctuation threshold, it indicates that the abnormality occurs frequently in each period during the detection period, which is not conducive to ensuring the stability of data transmission, and a communication high risk signal is generated;

[0061] For other situations, accurate analysis of communication risks is performed, specifically: all types of anomalies that occur in the data transmission process during the detection period are obtained, the number of occurrences of the corresponding types of anomalies is marked as the matching frequency, and all tracking durations of the corresponding types of anomalies are obtained, the tracking duration is compared with the corresponding preset tracking duration threshold, and the number of tracking durations of the corresponding types of anomalies that exceed the corresponding preset tracking duration threshold is marked as the tracking anomaly detection value;

[0062] The matching frequency and the tracking anomaly detection value are numerically compared with the preset matching frequency threshold and the preset tracking anomaly detection threshold, respectively. If the matching frequency or the tracking anomaly detection value exceeds the corresponding preset threshold, it indicates that the hidden danger caused by the corresponding type of abnormality during the detection period is relatively large, and the corresponding type of abnormality is marked as a hidden danger abnormality; if there is a hidden danger abnormality during the detection period, it indicates that the communication transmission hidden danger during the detection period is relatively large, and a communication high hidden danger signal is generated;

[0063] If there is no hidden danger abnormality during the detection period, the tracking abnormal detection values ​​of all types of abnormalities occurring during the detection period are summed up to obtain the tracking abnormal table value, and the matching frequencies of all types of abnormalities occurring during the detection period are summed up to obtain the communication abnormal frequency value;

[0064] The abnormal value of the time period is numerically compared with the abnormal threshold of the preset time period. If the abnormal value of the time period exceeds the abnormal threshold of the preset time period, it indicates that the communication transmission of the corresponding detection period is not smooth, and the corresponding detection period is marked as a communication fluctuation period; the number of communication fluctuation periods in the detection period is obtained and the ratio is calculated with the total number of detection periods in the detection period to obtain the communication wave detection value;

[0065] The communication hidden danger characteristic value W is obtained by numerically calculating the tracking abnormal table value S, the communication abnormal frequency value Y and the communication wave detection value L through the formula W=e×S+q×Y+h×L; the formula is a dimensionless numerical calculation, and the formula is a formula obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters in the formula are set by technicians in this field according to the actual situation; and e, q, and h are preset weight coefficients with values ​​greater than zero. The larger the value of the communication hidden danger characteristic value W, the greater the overall communication transmission hidden danger in the detection period, and the less smooth the communication transmission;

[0066] The communication hidden danger characteristic value W is numerically compared with the preset communication hidden danger characteristic threshold. If the communication hidden danger characteristic value W exceeds the preset communication hidden danger characteristic threshold, it indicates that the communication transmission hidden dangers during the detection period are generally large and the communication transmission is not smooth, then a high communication hidden danger signal is generated; if the communication hidden danger characteristic value W does not exceed the preset communication hidden danger characteristic threshold, it indicates that the communication transmission hidden dangers during the detection period are generally small and the communication transmission is relatively smooth, then a low communication hidden danger signal is generated.

[0067] Furthermore, the communication hidden danger analysis module is communicatively connected with the exception handling tracking module. The exception handling tracking module tracks the exceptions in the data transmission process, marks the time when the exception in the corresponding data transmission process occurs as the first time, marks the time when the corresponding exception is resolved as the second time, and calculates the time difference between the first time and the second time to obtain the tracking duration. The larger the value of the tracking duration, the more delayed the resolution of the corresponding exception. The tracking duration of the corresponding exception is sent to the communication hidden danger analysis module to provide data support for the analysis process of the communication hidden danger analysis module and ensure the accuracy of its analysis results.

[0068] Embodiment 3: Figure 3 As shown, the difference between this embodiment and the first and second embodiments is that the multi-terminal serial data transmission interaction method based on the communication network proposed in the present invention includes the following steps:

[0069] Step 1: The data initiator preliminarily encapsulates the data to be transmitted. When the data initiator is ready to transmit the data, it sends the data to the first data processing node in the serial data processing node module through the communication network;

[0070] Step 2: Data is transmitted sequentially between each data processing node in the serial data processing node module, and the data processed by each data processing node will be used as the input of the next data processing node;

[0071] Step 3: After being processed by all data processing nodes, the data receiving end receives the data transmitted by the last data processing node and parses the data to restore the original data or obtain the processed results;

[0072] Step 4: The communication monitoring management module monitors the entire data transmission process of the data transmission link in real time and identifies abnormalities in the data transmission process;

[0073] Step 5: After the anomaly is identified, the anomaly information is sent to the emergency decision-making module and the background supervision end. The emergency decision-making module automatically makes corresponding adjustments based on the anomaly information.

[0074] The working principle of the present invention is as follows: when in use, the data to be transmitted is initially packaged by the data initiator and sent to the first data processing node in the serial data processing node module. Each data processing node in the serial data processing node module is responsible for a specific data processing task. After being processed by all data processing nodes, the data receiving end receives and parses the data. By connecting multiple data processing nodes in series to form a data processing pipeline, the efficiency of data processing and transmission is improved, the confidentiality and integrity of the data are enhanced, and the entire data transmission process of the data transmission link is monitored in real time through the communication monitoring management module to identify abnormalities in the data transmission process, thereby ensuring the efficiency, security and reliability of data transmission, and providing administrators with comprehensive monitoring and management means, making the data transmission process more controllable and predictable.

[0075] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A multi-terminal serial data transmission interactive system based on a communication network, characterized in that: It includes a data initiator, a serial data processing node module, a data receiver, a communication monitoring management module, an emergency decision-making module and a background supervision terminal; in the data transmission link, the data initiator preliminarily encapsulates the data to be transmitted, and when the data initiator prepares the data to be transmitted, it sends the data to the first data processing node in the serial data processing node module through the communication network; The previous data processing node in the serial data processing node module sends the processed data to the next data processing node through the communication network, and so on, until the data reaches the last data processing node; after being processed by all data processing nodes, the data is transmitted to the data receiving end through the communication network, and the data receiving end receives and parses the data; The communication monitoring management module monitors the entire data transmission process of the data transmission link in real time, and sends the abnormal information to the emergency decision-making module and the background supervision end after identifying the abnormality; The communication monitoring management module is connected to the communication hidden danger analysis module. The communication monitoring management module sends the abnormal information of the data transmission process to the communication hidden danger analysis module. The communication hidden danger analysis module is used to set the detection period, analyze the communication hidden dangers during the detection period, generate a communication high hidden danger signal or a communication low hidden danger signal through analysis, and send the communication high hidden danger signal or the communication low hidden danger signal to the background monitoring end. When the background monitoring end receives the communication high hidden danger signal, an alarm sound is issued; The specific analysis process of the communication hidden danger analysis module is as follows: Several detection periods are set within the detection period, and the duration of all detection periods is the same; the number of abnormal information received in the corresponding detection period is collected and marked as a period abnormal value, and the period abnormal values ​​of all detection periods are calculated by mean and variance to obtain an abnormal distribution performance value and an abnormal distribution fluctuation value; The abnormal distribution performance value and the abnormal distribution fluctuation value are numerically compared with the preset abnormal distribution performance threshold and the preset abnormal distribution fluctuation threshold, respectively. If the abnormal distribution performance value exceeds the preset abnormal distribution performance threshold and the abnormal distribution fluctuation value does not exceed the preset abnormal distribution fluctuation threshold, a high communication hidden danger signal is generated; in other cases, a precise analysis of communication hidden dangers is performed; The specific analysis process of accurate analysis of communication hidden dangers is as follows: obtain all kinds of anomalies that occur in the data transmission process during the detection period, mark the number of occurrences of the corresponding type of anomalies as the matching frequency, and obtain all tracking durations of the corresponding type of anomalies, and mark the number of tracking durations that exceed the corresponding preset tracking duration threshold as the tracking abnormality detection value; The matching frequency and the tracking anomaly detection value are numerically compared with the preset matching frequency threshold and the preset tracking anomaly detection threshold respectively. If the matching frequency or the tracking anomaly detection value exceeds the corresponding preset threshold, the corresponding type of anomaly is marked as a hidden danger anomaly; If there is a hidden danger anomaly during the detection period, a communication high hidden danger signal is generated; if there is no hidden danger anomaly during the detection period, the tracking abnormal detection values ​​of all types of abnormalities occurring during the detection period are summed up to obtain a tracking abnormal table value, and the matching frequencies of all types of abnormalities occurring during the detection period are summed up to obtain a communication abnormal frequency value; The abnormal value of the time period is numerically compared with the abnormal threshold of the preset time period. If the abnormal value of the time period exceeds the abnormal threshold of the preset time period, the corresponding detection time period is marked as a communication fluctuation time period; The number of communication fluctuation periods in the detection period is obtained and the ratio thereof is calculated with the total number of detection periods to obtain a communication wave detection value, a communication hidden danger characteristic value is obtained by numerically calculating the tracking abnormal table value, the communication abnormal frequency value and the communication wave detection value, and the communication hidden danger characteristic value is numerically compared with the preset communication hidden danger characteristic threshold value. If the communication hidden danger characteristic value exceeds the preset communication hidden danger characteristic threshold value, a communication high hidden danger signal is generated; if the communication hidden danger characteristic value does not exceed the preset communication hidden danger characteristic threshold value, a communication low hidden danger signal is generated; The communication hidden danger analysis module is communicatively connected with the exception handling tracking module. The exception handling tracking module tracks the exceptions in the data transmission process, marks the time when the exception in the corresponding data transmission process occurs as the first time, marks the time when the corresponding exception is resolved as the second time, calculates the time difference between the first time and the second time to obtain the tracking duration, and sends the tracking duration of the corresponding exception to the communication hidden danger analysis module.

2. The multi-terminal serial data transmission interactive system based on a communication network according to claim 1 is characterized in that: The communication network supports a variety of communication protocols and data formats. Each data processing node in the serial data processing node module is responsible for specific data processing tasks, including encryption, compression and verification; The communication monitoring and management module is used to monitor data transmission speed, node status and error handling.

3. The multi-terminal serial data transmission interactive system based on a communication network according to claim 2 is characterized in that: Data transmission speed is monitored as follows: The data transmission speed information on the data transmission link is obtained in real time. If the data transmission speed is slow or there is a bottleneck, the transmission strategy is automatically adjusted through the emergency decision-making module, and bandwidth resources are dynamically allocated according to the network load.

4. The multi-terminal serial data transmission interactive system based on a communication network according to claim 2 is characterized in that: The node status monitoring is as follows: Status detection: Real-time detection of the status of each data processing node to determine whether each data processing node is operating normally; Fault warning: If an adverse condition is detected in a data processing node, a fault warning will be issued immediately; Automatic recovery: For some faults that can be automatically recovered, the emergency decision-making module will automatically recover by restarting the node or releasing resources; If automatic recovery fails, a detailed fault report will be generated and sent to the background supervision end.

5. The multi-terminal serial data transmission interactive system based on a communication network according to claim 2 is characterized in that: Error handling monitoring is as follows: Error detection: By comparing the data packets at the data sending end and the data receiving end, it can be determined whether there is a problem in the data transmission process, and errors in the data transmission process can be detected in real time, including data loss, data corruption and transmission timeout; Error logging: Detailed logging of detected errors; Error handling: Take different handling measures according to the type and severity of the error.

6. A multi-terminal serial data transmission interactive method based on a communication network, characterized in that: The method adopts the multi-terminal serial data transmission interaction system based on the communication network as described in any one of claims 1-5.

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