Computer data transmission management system based on Internet of Things

Abstract

The invention relates to the technical field of data transmission, in particular to a computer data transmission management system based on the Internet of Things, and the system comprises an information collection module which is used for collecting environment data, network data and the transmitting power of standby link communication equipment; the network state analysis module is used for analyzing the network state; the power analysis module is used for optimizing the analysis process of the network state; the integrity analysis module is used for analyzing the integrity state of the data; the transmission management module is used for managing the transmission mode of the data in the next monitoring period according to the data analysis result, the analysis result of the network state in the monitoring period and the analysis result of the complete state of the data; and the environment analysis module is used for processing the management process of the transmission mode of the data in the next monitoring period according to the electromagnetic interference intensity collected in the monitoring period. According to the invention, the transmission efficiency of computer data is effectively improved.

Description

Technical Field

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

[0002] With the rapid development of IoT technology, data transmission management faces increasing challenges. Existing data transmission management systems typically only analyze abnormal data conditions and lack comprehensive monitoring and analysis of network, device, and environmental conditions, resulting in low data transmission efficiency.

[0003] Chinese Patent Publication No. CN118694770A discloses a data transmission control method for a communication management machine and a computer-readable storage medium. The method includes initializing and configuring data acquisition parameters for the communication management machine, acquiring acquired data from equipment within the substation, and storing the data in a queue to be uploaded. When the network connection between the communication management machine and the upper-level master station system is unobstructed, the acquired data is removed from the queue to be uploaded, marked with an upload time, and uploaded to the upper-level master control system and stored in a redundant data queue. A confirmation message sent from the upper-level master control system is queried, and the corresponding acquired data is searched and deleted from the redundant data queue based on the upload time in the confirmation message. If the network connection is not unobstructed, the acquired data is stored in the queue to be uploaded in the order in which it was acquired, waiting for the communication management machine to reconnect with the upper-level master station system. When the network connection between the communication management machine and the upper-level master station system is restored, the acquired data group in the redundant data queue is inserted at the front of the queue to be uploaded for retransmission. Therefore, this solution only analyzes abnormal data conditions and suffers from low efficiency in computer data transmission management. Summary of the Invention

[0004] The object of the present invention is to provide a computer data transmission management system based on the Internet of Things to solve at least one of the problems existing in the prior art.

[0005] To achieve the above object, the present invention adopts the following technical solutions: A computer data transmission management system based on the Internet of Things, comprising: The network status analysis module is used to compare and analyze signal strength, bandwidth occupancy, and network latency to determine the network status; A power analysis module, configured to compare and analyze the first transmit power to optimize the network status analysis process, and to compare and analyze the second transmit power to optimize the comparison and analysis process of the first transmit power; The transmission management module is used to perform data fusion analysis on the network status, data type and data integrity status to manage the transmission mode of the data in the next monitoring cycle; The environmental analysis module is used to perform electromagnetic interference anomaly analysis on the electromagnetic interference intensity to handle the management process of the transmission mode of the next monitoring cycle data.

[0006] Optionally, it also includes an information collection module for collecting environmental data, network data and the transmission power of the standby link communication equipment; The data classification module is used to classify the data according to the collected ambient temperature, ambient humidity, device power and GPS positioning, and divide it into Class I data, Class II data and Class III data.

[0007] Optionally, the network status analysis module includes a signal strength analysis unit for analyzing the signal strength status according to the signal strength a0 collected during the monitoring period and a preset signal strength threshold a1 to determine a strength anomaly index; The network status analysis module further includes a bandwidth analysis unit for analyzing the bandwidth fluctuation rate B according to the bandwidth occupancy rate collected during the monitoring period, and determining a bandwidth anomaly index according to the bandwidth fluctuation rate B and a preset fluctuation rate B0; The network status analysis module further includes a delay analysis unit for determining a delay index based on the network delay c0 collected during a monitoring period and a preset delay c1.

[0008] Optionally, the network status analysis module also includes a status judgment unit, which is used to construct a status index ZT based on the construction results of the strength anomaly index, bandwidth anomaly index and delay index within the monitoring period, and analyze the network status of the current monitoring period based on the status index ZT. If ZT≤z1, the status judgment unit determines that the network status of the current monitoring period is stable; if z1<ZT<z2, the status judgment unit determines that the network status of the current monitoring period is slightly fluctuating; if ZT≥z2, the status judgment unit determines that the network status of the current monitoring period is severely fluctuating, z1 is the first preset status threshold, and z2 is the second preset status threshold.

[0009] Optionally, the power analysis module includes a first power analysis unit, which is used to compare and analyze the first transmission power fp0 and the first preset transmission power fp1 to determine the abnormality of the transmission power of the first communication device, and to perform exponential function calculation on the first transmission power fp0 and the first preset transmission power fp1 when the transmission power of the first backup link communication device is abnormal to optimize the analysis process of the network status.

[0010] Optionally, the power analysis module includes a second power analysis unit, which is used to compare and analyze the second transmission power sp0 and the second preset transmission power sp1 to determine the abnormality of the transmission power of the second backup link communication device, and when the transmission power of the second backup link communication device is abnormal, perform power function calculation on the second transmission power sp0 and the second preset transmission power sp1 to optimize the analysis process of the abnormality of the transmission power of the first backup link communication device.

[0011] Optionally, it also includes an integrity analysis module, which is used to analyze the integrity status of the data based on the packet loss rate collected during the monitoring period; the integrity analysis module analyzes the integrity status of the data based on the packet loss rate f0 collected during the monitoring period and the preset packet loss rate f1 to determine whether the integrity status of the data is an abnormal state.

[0012] Optionally, the transmission management module manages the transmission mode of the data in the next monitoring period according to the data classification result, the analysis result of the network status in the monitoring period, and the analysis result of the integrity status of the data, wherein: If the network status of the current monitoring period is stable, the transmission management module sets the transmission link as the main link, and transmits the first type of data in real time, transmits the second type of data according to the first preset period GP1, and transmits the third type of data according to the second preset period GP2; If the network status of the current monitoring period is slightly fluctuating and the integrity status of the data is normal, the transmission management module sets the transmission link as the main link, and transmits the first type of data in real time, transmits the second type of data according to the period GP1×(1-α1×ZT), and transmits the third type of data according to the period GP2×α2; If the network status of the current monitoring period is slightly fluctuating and the integrity status of the data is abnormal, the transmission management module sets the transmission link as the first backup link, and transmits the first type of data in real time, transmits the second type of data according to the period GP1×(1+β1×ZT), and transmits the third type of data according to the period GP2×(1+β2); If the network status of the current monitoring period is severely fluctuating, the transmission management module sets the transmission link to the first backup link and the second backup link, and transmits the first type of data in real time through the first backup link, and transmits the second type of data and the third type of data through the second backup link according to the third preset period GP3; Wherein, α1 is the first preset adjustment coefficient, α2 is the second preset adjustment coefficient, β1 is the first preset correction coefficient, and β2 is the second preset correction coefficient.

[0013] Optionally, the environmental analysis module includes an electromagnetic analysis unit and a data processing unit, wherein the electromagnetic analysis unit is used to analyze electromagnetic interference abnormality based on the electromagnetic interference intensity g0 collected in the current monitoring period and the preset electromagnetic interference intensity g1 to determine whether the electromagnetic interference intensity in the current monitoring period is abnormal.

[0014] Optionally, the data processing unit processes the management process of the transmission mode of the data in the next monitoring period according to the analysis result of the electromagnetic interference abnormality in the monitoring period, and sets the preset packet loss rate after processing as f2.

[0015] The beneficial effects of the present invention are as follows: through the collaborative work of multiple modules such as information collection, network status analysis, power analysis, integrity analysis, transmission management and environmental analysis, the network status, device status and environmental status can be comprehensively monitored and analyzed. The system can dynamically adjust the data transmission mode according to the data collected in real time to ensure the stability, real-timeness and integrity of data transmission under different network environments. By optimizing bandwidth usage, reducing network delays, identifying signal anomalies, adjusting the power of backup links and other measures, the system effectively improves the efficiency and reliability of data transmission. In addition, the system can further optimize the data transmission strategy according to the intensity of electromagnetic interference and environmental conditions to ensure the quality of data transmission in complex environments. The present invention not only improves the intelligence level of data transmission management, but also significantly reduces the packet loss rate and delay in the data transmission process. It is suitable for a variety of Internet of Things scenarios and has broad application prospects. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0017] Figure 1 This is a structural diagram of the computer data transmission management system based on the Internet of Things in this embodiment.

[0018] Figure 2 This is a structural diagram of the network status analysis module in this embodiment.

[0019] Figure 3 FIG. 4 is a schematic diagram of the structure of the power analysis module of this embodiment.

[0020] Figure 4 This is a structural diagram of the environmental analysis module of this embodiment. DETAILED DESCRIPTION

[0021] In order to more clearly illustrate the present invention, the present invention is further described below in conjunction with preferred embodiments and accompanying drawings. Similar components in the accompanying drawings are represented by the same reference numerals. It should be understood by those skilled in the art that the following detailed description is illustrative rather than restrictive and should not be used to limit the scope of protection of the present invention.

[0022] It should be noted that, although the terms "first," "second," and "third" may be used to describe the embodiments of the present application, the description should not be limited to these terms. These terms are merely used to distinguish the descriptions. For example, without departing from the scope of the embodiments of the present application, "first" may also be referred to as "second," and similarly, "second" may also be referred to as "first."

[0023] See also Figure 1 As shown, it is a structural diagram of a computer data transmission management system based on the Internet of Things in this embodiment, the system includes: An information collection module is configured to collect environmental data, network data, and the transmit power of a backup link communication device. The environmental data includes ambient temperature, ambient humidity, and electromagnetic interference intensity. The network data includes signal strength, bandwidth occupancy, packet loss rate, and network delay. The transmit power of the backup link communication device includes a first transmit power and a second transmit power. The first transmit power and the second transmit power are the transmit power of the first backup link communication device and the transmit power of the second backup link communication device. The first backup link is a satellite link, and the second backup link is LoRaWAN. In this embodiment, no specific limitation is imposed on the collection method of the environmental data, network data, and transmit power of the backup link communication device. Those skilled in the art may freely configure the data, as long as the collection requirements of the environmental data, network data, and transmit power of the backup link communication device are met. The environmental data can be collected by smart sensors, and the network data can be collected by network monitoring tools, such as deploying a network monitoring application (such as ntopng or Wireshark) on an edge computing device or gateway to monitor signal strength, bandwidth occupancy, and network delay in real time. The transmit power of the backup link communication device can be collected by its built-in node device.

[0024] Please continue reading Figure 1 As shown, the system further includes: a data classification module connected to the information acquisition module, the data classification module being configured to analyze the abnormality of the ambient temperature based on the collected ambient temperature t0, and if t0>t2 or t0<t1, the data classification module determines that the ambient temperature is abnormal; otherwise, the data classification module determines that the ambient temperature is normal, t1 is a first preset temperature, t2 is a second preset temperature, and t1<t2; The data classification module is further used to analyze the abnormality of the ambient humidity according to the collected ambient humidity s0. If s0≤s1, the data classification module determines that the ambient humidity is normal. Otherwise, the data classification module determines that the ambient humidity is abnormal, and s1 is a preset ambient humidity. The data classification module is further configured to analyze the abnormality of the device power according to the collected device power d0. If d0 ≤ d1, the data classification module determines that the device power is abnormal. Otherwise, the data classification module determines that the device power is abnormal, and d1 is a preset device power. The data classification module classifies abnormal ambient temperature, abnormal ambient humidity and abnormal device power as first-class data, normal ambient temperature, normal ambient humidity and normal device power as second-class data, and GPS positioning as third-class data; the data classification module classifies data according to ambient temperature, ambient humidity, device power and GPS positioning, and divides the data into different priorities, ensuring real-time transmission of high-priority data and improving the efficiency and reliability of data transmission.

[0025] Specifically, the GPS positioning in this embodiment can be obtained through a GPS device, and the device power is the power of the refrigeration device, which can be obtained through a battery management system.

[0026] It can be understood that, in this embodiment, there is no specific limitation on the settings of each preset temperature, preset ambient humidity and preset device power. Those skilled in the art can set them freely, and they only need to meet the setting requirements of each preset temperature, preset ambient humidity and preset device power. Among them, during cold chain transportation, the optimal value of t1 is 2°C, the optimal value of t2 is 8°C, the optimal value of s1 is 85%, and the optimal value of d1 is 20%.

[0027] Please continue reading Figure 1 As shown, the system further includes: A network status analysis module is connected to the data classification module. The network status analysis module is used to analyze the network status based on the signal strength, bandwidth occupancy and network delay collected during the monitoring period. In this embodiment, there is no specific limitation on the setting of the monitoring period. Those skilled in the art can set it freely as long as the setting requirements of the monitoring period are met. The monitoring period can be set to 10 minutes, 20 minutes, etc.

[0028] See also Figure 2 As shown, the network status analysis module includes: The signal strength analysis unit is used to analyze the signal strength status according to the signal strength a0 collected during the monitoring period and the preset signal strength threshold a1, wherein: If a0≤a1, the signal strength analysis unit determines that the signal strength state is abnormal; otherwise, the signal strength analysis unit determines that the signal strength state is normal; The signal strength analysis unit constructs a strength anomaly index E1 based on the analysis results of the signal strength status during the monitoring period, and sets E1=r1 / T, where r1 is the duration of the abnormal signal strength status during the monitoring period, and T is the duration of the monitoring period; the signal strength analysis unit analyzes the signal strength to determine the stability of the network signal, help identify signal anomalies, and thereby adjust the transmission strategy in a timely manner to effectively improve the transmission management efficiency of computer data.

[0029] It is understandable that the present embodiment does not impose any specific limitation on the setting of the preset signal strength threshold a1, and those skilled in the art may freely set it as long as the setting requirements of the preset signal strength threshold are met. The optimal value of a1 is -75dBm.

[0030] Please continue reading Figure 2 As shown, the network status analysis module also includes: The bandwidth analysis unit is connected to the signal strength analysis unit and is used to analyze the bandwidth fluctuation rate B according to the bandwidth occupancy rate collected during the monitoring period, and set: , , where ki is the i-th bandwidth occupancy data collected during the monitoring period, kj is the average value of the bandwidth occupancy data collected during the monitoring period, and I is the number of bandwidth occupancy data collected during the monitoring period; The bandwidth analysis unit constructs a bandwidth anomaly index based on the bandwidth fluctuation rate B and the preset fluctuation rate B0. If B≤B0, the bandwidth analysis unit sets the bandwidth anomaly index to DK1, setting DK1=0; otherwise, the bandwidth analysis unit sets the bandwidth anomaly index to DK2, setting DK2=B-B0; the bandwidth analysis unit analyzes the bandwidth occupancy rate, identifies the bandwidth fluctuation situation, helps optimize bandwidth usage, ensures the smoothness of data transmission, and effectively improves the transmission management efficiency of computer data.

[0031] It is understandable that the present embodiment does not impose any specific limitation on the setting of the preset volatility, and those skilled in the art may freely set it as long as the setting requirements of the preset volatility are met. Among them, the optimal value of B0 is 0.1.

[0032] Please continue reading Figure 2 As shown, the network status analysis module also includes: A delay analysis unit is connected to the bandwidth analysis unit. The delay analysis unit is used to construct a delay index based on the network delay c0 collected during the monitoring period and the preset delay c1. If c0≤c1, the delay analysis unit sets the delay index to YS1, setting YS1=0; otherwise, the delay analysis unit sets the delay index to YS2, setting YS2=lg[(c0-c1) / (c0+c1)+1] / lg2; the delay analysis unit analyzes the network delay, identifies the network delay situation, reduces the delay of data transmission, improves the real-time performance of data transmission, and effectively improves the transmission management efficiency of computer data.

[0033] It is understandable that the present embodiment does not impose any specific limitation on the setting of the preset delay, and those skilled in the art may freely set it as long as the setting requirements of the preset delay are met. The optimal value of c1 is 500ms.

[0034] Please continue reading Figure 2 As shown, the network status analysis module also includes: A state judgment unit connected to the delay analysis unit is used to construct a state index ZT according to the construction results of the strength abnormality index, bandwidth abnormality index and delay index within the monitoring period, and set ZT = w1 × strength abnormality index + w2 × bandwidth abnormality index + w3 × delay index, where w1 is the signal strength weight, w2 is the bandwidth weight, w3 is the delay index, and w1+w2+w3=1; The state judgment unit analyzes the network state of the current monitoring period according to the state index ZT. If ZT≤z1, the state judgment unit determines that the network state of the current monitoring period is stable. If z1<ZT<z2, the state judgment unit determines that the network state of the current monitoring period is slightly fluctuating. If ZT≥z2, the state judgment unit determines that the network state of the current monitoring period is severely fluctuating. z1 is the first preset state threshold, z2 is the second preset state threshold, and z1<z2. The state judgment unit constructs a state index by comprehensively analyzing the signal strength, bandwidth and delay, and judges the stability of the network state, thereby providing a decision-making basis for the transmission management module to ensure the stability of data transmission.

[0035] It can be understood that the present embodiment does not impose specific limitations on the settings of the weights and the preset state thresholds, and those skilled in the art can freely set them as long as the setting requirements of the weights and the preset state thresholds are met. Among them, the optimal value of w1 is 0.5, the optimal value of w2 is 0.3, the optimal value of w3 is 0.2, the optimal value of z1 is 0.4, and the optimal value of z2 is 0.6.

[0036] Please continue reading Figure 1 As shown, the system includes: A power analysis module is connected to the network status analysis module, and the power analysis module is used to optimize the analysis process of the network status according to the first transmission power and the second transmission power.

[0037] See also Figure 3 As shown, the power analysis module includes: a first power analysis unit, configured to analyze abnormality of the transmit power of the first standby link communication device according to the first transmit power fp0 and the first preset transmit power fp1; if fp0 ≤ fp1, the first power analysis unit determines that the transmit power of the first standby link communication device is normal; otherwise, the first power analysis unit determines that the transmit power of the first standby link communication device is abnormal; The first power analysis unit optimizes the network status analysis process when the transmission power of the first standby link communication device is abnormal, and sets the optimized second preset status threshold value as z2', setting: Z2'=z2×{1+exp[3×(fp0-fp1) / (fp0+fp1)-3]}; The first power analysis unit determines whether the first transmission power is normal by analyzing it, optimizes the network status analysis process, ensures the reliability of the backup link, and at the same time reduces energy consumption and improves the efficiency of data transmission.

[0038] It is understandable that the present embodiment does not specifically limit the setting of the first preset transmit power, and those skilled in the art may freely set it as long as the setting requirements of the first preset transmit power are met. The optimal value of fp1 is 500 mW.

[0039] Please continue reading Figure 3 As shown, the power analysis module includes: a second power analysis unit connected to the first power analysis unit, the second power analysis unit being configured to analyze the abnormality of the transmit power of the second standby link communication device according to the second transmit power sp0 and the second preset transmit power sp1, and if sp0 ≤ sp1, the second power analysis unit determines that the transmit power of the second standby link communication device is abnormal; otherwise, the second power analysis unit determines that the transmit power of the second standby link communication device is normal; The second power analysis unit optimizes the analysis process of the abnormality of the transmission power of the first standby link communication device when the transmission power of the second standby link communication device is abnormal, and sets the optimized first preset transmission power as fp1', setting fp1'=fp1×{1+[(sp1-sp0) / sp1] 2 The second power analysis unit analyzes the second transmit power to determine whether it is normal, optimizes the first transmit power analysis process, ensures the reliability of the backup link, and reduces energy consumption.

[0040] It is understandable that the present embodiment does not specifically limit the setting of the second preset transmit power, and those skilled in the art may freely set it as long as the setting requirements of the second preset transmit power are met. The optimal value of sp1 is 20 mW.

[0041] Please continue reading Figure 1 As shown, the system further includes: An integrity analysis module is connected to the power analysis unit and is used to analyze the integrity of the data based on the packet loss rate f0 collected during the monitoring period and the preset packet loss rate f1, wherein: If f0≤f1, the integrity analysis module determines that the integrity status of the data in the current monitoring period is normal; otherwise, the integrity analysis module determines that the integrity status of the data in the current monitoring period is abnormal; the integrity analysis module determines the integrity status of the data by analyzing the packet loss rate, ensures the integrity of data transmission, avoids incomplete information due to data loss, and improves the reliability of data transmission.

[0042] It is understandable that the present embodiment does not impose any specific limitation on the setting of the preset packet loss rate, and those skilled in the art may freely set it as long as the setting requirements of the preset packet loss rate are met. The optimal value of f1 is 0.05.

[0043] Please continue reading Figure 1 As shown, the system further includes: A transmission management module connected to the integrity analysis module is used to manage the transmission mode of the data in the next monitoring period based on the data classification results, the analysis results of the network status within the monitoring period, and the analysis results of the data integrity status, wherein: If the network status of the current monitoring period is stable, the transmission management module sets the transmission link as the main link, and transmits the first type of data in real time, transmits the second type of data according to the first preset period GP1, and transmits the third type of data according to the second preset period GP2; If the network status of the current monitoring period is slightly fluctuating and the integrity status of the data is normal, the transmission management module sets the transmission link as the main link, and transmits the first type of data in real time, transmits the second type of data according to the period GP1×(1-α1×ZT), and transmits the third type of data according to the period GP2×α2; If the network status of the current monitoring period is slightly fluctuating and the integrity status of the data is abnormal, the transmission management module sets the transmission link as the first backup link, and transmits the first type of data in real time, transmits the second type of data according to the period GP1×(1+β1×ZT), and transmits the third type of data according to the period GP2×(1+β2); If the network status of the current monitoring period is severely fluctuating, the transmission management module sets the transmission link to the first backup link and the second backup link, and transmits the first type of data in real time through the first backup link, and transmits the second type of data and the third type of data through the second backup link according to the third preset period GP3; The transmission management module outputs the transmission plan of the next monitoring cycle to the user; Where α1 is the first preset adjustment coefficient, α2 is the second preset adjustment coefficient, β1 is the first preset correction coefficient, and β2 is the second preset correction coefficient. The transmission management module dynamically adjusts the data transmission mode based on the data classification results, network status analysis results, and integrity analysis results to ensure the efficiency and reliability of data transmission under different network conditions. By rationally allocating transmission links and adjusting transmission cycles, the data transmission process is optimized and the efficiency of data transmission management is improved.

[0044] Specifically, the transmission mode in the initial state in this embodiment is to transmit Class I data in real time through the main link, transmit Class II data according to the first preset period GP1, and transmit Class III data according to the second preset period GP2. The main link in this embodiment is a 5G network.

[0045] It can be understood that, in this embodiment, there is no specific limitation on the setting of each preset period, each preset adjustment coefficient and each preset correction coefficient. Those skilled in the art can set them freely, as long as the setting requirements of each preset period, each preset adjustment coefficient and each preset correction coefficient are met. Among them, the optimal value of GP1 is 5 seconds, the optimal value of GP2 is 60 seconds, the optimal value of GP3 is 70 seconds, the optimal value of α1 is 0.2, the optimal value of α2 is 0.5, the optimal value of β1 is 0.3, and the optimal value of β2 is 0.6.

[0046] Please continue reading Figure 1 As shown, the system further includes: The environmental analysis module is connected to the transmission management module. The environmental analysis module is used to analyze the electromagnetic interference abnormality according to the electromagnetic interference intensity collected during the monitoring period, and process the management process of the transmission mode of the next monitoring period data according to the analysis results.

[0047] See also Figure 4 As shown, the environmental analysis module includes: The electromagnetic analysis unit is used to analyze the abnormality of electromagnetic interference based on the electromagnetic interference intensity g0 collected in the current monitoring period and the preset electromagnetic interference intensity g1. If g0≤g1, the electromagnetic analysis unit determines that the electromagnetic interference intensity in the current monitoring period is normal; otherwise, the electromagnetic analysis unit determines that the electromagnetic interference intensity is abnormal. The electromagnetic analysis unit determines whether the electromagnetic interference is abnormal by analyzing the electromagnetic interference intensity, thereby ensuring the security of the data transmission environment and avoiding data transmission errors caused by electromagnetic interference.

[0048] It is understandable that the present embodiment does not impose any specific limitation on the setting of the preset electromagnetic interference intensity, and those skilled in the art may freely set it as long as the setting requirements of the preset electromagnetic interference intensity are met. Among them, the optimal value of g1 is 5V / m.

[0049] Please continue reading Figure 4 As shown, the environmental analysis module also includes: A data processing unit is connected to the electromagnetic analysis unit, and is used to process the management process of the transmission mode of the data of the next monitoring period according to the analysis results of the electromagnetic interference abnormality within the monitoring period, and set the preset packet loss rate after processing to f2, setting f2=f1×(1-η×r2 / T), r2 is the duration of the abnormal electromagnetic interference intensity within the monitoring period, and η is the preset correction coefficient; the data processing unit adjusts the preset packet loss rate according to the analysis results of the electromagnetic interference abnormality, optimizes the management process of the data transmission mode, and ensures the reliability of data transmission under the condition of electromagnetic interference abnormality.

[0050] It is understandable that the present embodiment does not impose any specific limitation on the setting of the preset correction coefficient, and those skilled in the art can freely set it as long as the setting requirements of the preset correction coefficient are met, wherein the optimal value of η is 0.26.

[0051] Specifically, the system described in this embodiment is applied to the transmission management of computer data in a cold chain transportation environment.

[0052] Obviously, the above embodiments of the present invention are merely examples for clearly illustrating the present invention, and are not limitations on the implementation methods of the present invention. For ordinary technicians in this field, other different forms of changes or modifications can be made based on the above description. It is impossible to list all the implementation methods here. All obvious changes or modifications derived from the technical solution of the present invention are still within the scope of protection of the present invention.

Claims

1. A computer data transmission management system based on the Internet of Things, characterized in that: include: The network status analysis module is used to compare and analyze signal strength, bandwidth occupancy, and network latency to determine the network status; A power analysis module, configured to compare and analyze the first transmit power to optimize the network status analysis process, and to compare and analyze the second transmit power to optimize the comparison and analysis process of the first transmit power; The transmission management module is used to perform data fusion analysis on the network status, data type and data integrity status to manage the transmission mode of the data in the next monitoring cycle; The environmental analysis module is used to perform electromagnetic interference anomaly analysis on the electromagnetic interference intensity to handle the management process of the transmission mode of the next monitoring cycle data.

2. The computer data transmission management system based on the Internet of Things according to claim 1 is characterized in that: It also includes an information collection module for collecting environmental data, network data and the transmission power of standby link communication equipment; The data classification module is used to classify the data according to the collected ambient temperature, ambient humidity, device power and GPS positioning, and divide it into Class I data, Class II data and Class III data.

3. The computer data transmission management system based on the Internet of Things according to claim 2 is characterized in that: The network status analysis module includes a signal strength analysis unit for analyzing the signal strength status according to the signal strength a0 collected during the monitoring period and the preset signal strength threshold a1 to determine the strength anomaly index; The network status analysis module further includes a bandwidth analysis unit for analyzing the bandwidth fluctuation rate B according to the bandwidth occupancy rate collected during the monitoring period, and determining a bandwidth anomaly index according to the bandwidth fluctuation rate B and a preset fluctuation rate B0; The network status analysis module further includes a delay analysis unit for determining a delay index based on the network delay c0 collected during a monitoring period and a preset delay c1.

4. The computer data transmission management system based on the Internet of Things according to claim 3 is characterized in that: The network status analysis module also includes a status judgment unit, which is used to construct a status index ZT based on the construction results of the strength anomaly index, the bandwidth anomaly index and the delay index within the monitoring period, and analyze the network status of the current monitoring period based on the status index ZT. If ZT≤z1, the status judgment unit determines that the network status of the current monitoring period is stable; if z1<ZT<z2, the status judgment unit determines that the network status of the current monitoring period is slightly fluctuating; if ZT≥z2, the status judgment unit determines that the network status of the current monitoring period is severely fluctuating, z1 is a first preset status threshold, and z2 is a second preset status threshold.

5. The computer data transmission management system based on the Internet of Things according to claim 4 is characterized in that: The power analysis module includes a first power analysis unit, which is used to compare and analyze the first transmission power fp0 and the first preset transmission power fp1 to determine the abnormality of the transmission power of the first communication device, and to perform exponential function calculation on the first transmission power fp0 and the first preset transmission power fp1 when the transmission power of the first backup link communication device is abnormal to optimize the analysis process of the network status.

6. The computer data transmission management system based on the Internet of Things according to claim 5 is characterized in that: The power analysis module includes a second power analysis unit, which is used to compare and analyze the second transmission power sp0 and the second preset transmission power sp1 to determine the abnormality of the transmission power of the second backup link communication device, and when the transmission power of the second backup link communication device is abnormal, perform a power function calculation on the second transmission power sp0 and the second preset transmission power sp1 to optimize the analysis process of the abnormality of the transmission power of the first backup link communication device.

7. The computer data transmission management system based on the Internet of Things according to claim 6 is characterized in that: It also includes an integrity analysis module, which is used to analyze the integrity status of the data based on the packet loss rate collected during the monitoring period; the integrity analysis module analyzes the integrity status of the data based on the packet loss rate f0 collected during the monitoring period and the preset packet loss rate f1 to determine whether the integrity status of the data is an abnormal state.

8. The computer data transmission management system based on the Internet of Things according to claim 7 is characterized in that: The transmission management module manages the transmission mode of the data in the next monitoring period according to the data classification results, the analysis results of the network status in the monitoring period, and the analysis results of the integrity status of the data, wherein: If the network status of the current monitoring period is stable, the transmission management module sets the transmission link as the main link, and transmits the first type of data in real time, transmits the second type of data according to the first preset period GP1, and transmits the third type of data according to the second preset period GP2; If the network status of the current monitoring period is slightly fluctuating and the integrity status of the data is normal, the transmission management module sets the transmission link as the main link, and transmits the first type of data in real time, transmits the second type of data according to the period GP1×(1-α1×ZT), and transmits the third type of data according to the period GP2×α2; If the network status of the current monitoring period is slightly fluctuating and the integrity status of the data is abnormal, the transmission management module sets the transmission link as the first backup link, and transmits the first type of data in real time, transmits the second type of data according to the period GP1×(1+β1×ZT), and transmits the third type of data according to the period GP2×(1+β2); If the network status of the current monitoring period is severely fluctuating, the transmission management module sets the transmission link to the first backup link and the second backup link, and transmits the first type of data in real time through the first backup link, and transmits the second type of data and the third type of data through the second backup link according to the third preset period GP3; Wherein, α1 is the first preset adjustment coefficient, α2 is the second preset adjustment coefficient, β1 is the first preset correction coefficient, and β2 is the second preset correction coefficient.

9. The computer data transmission management system based on the Internet of Things according to claim 8, characterized in that: The environmental analysis module includes an electromagnetic analysis unit and a data processing unit. The electromagnetic analysis unit is used to analyze electromagnetic interference abnormality based on the electromagnetic interference intensity g0 collected in the current monitoring period and the preset electromagnetic interference intensity g1 to determine whether the electromagnetic interference intensity in the current monitoring period is abnormal.

10. The computer data transmission management system based on the Internet of Things according to claim 9, characterized in that: The data processing unit processes the management process of the transmission mode of the data of the next monitoring period according to the analysis result of the abnormality of the electromagnetic interference in the monitoring period, and sets the preset packet loss rate after processing to f2.

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