A data collection interface analysis and management system for traffic Internet of Things sensing equipment

Abstract

The present invention belongs to the technical field of interface equipment box operation quality analysis, and discloses a data acquisition interface analysis and management system for transportation Internet of Things sensing equipment, including an interface spacing acquisition module, an interface interference analysis module, a data transmission quality analysis module, a data transmission synchronization analysis module, a resource allocation rationality analysis module, an interface operation quality analysis module, and an abnormal situation analysis module. When performing interface operation quality analysis on a target device, the present invention conducts a comprehensive analysis from multiple aspects such as data transmission quality, data transmission synchronization, and resource allocation rationality, which can improve data reliability and ensure integrity and accuracy. When judging whether there is an abnormality in the interface operation quality of the target equipment box, the present invention corrects the monitoring interface operation quality index based on the interface interference of each interface of the target equipment box, and judges the abnormality in the interface operation quality, which can more accurately reflect the actual operation status of the interface.

Description

Technical Field

[0001] The invention belongs to the technical field of interface equipment box operation quality analysis, and relates to a data acquisition interface analysis and management system for traffic Internet of Things sensing equipment. Background Art

[0002] Traffic IoT sensing devices are mainly used to collect, monitor and transmit various traffic-related data, providing real-time and accurate information support for traffic management, planning and operation. These devices sense different parameters in the traffic environment, such as vehicle location, speed, flow, road conditions, etc., and transmit data to the central processing system for analysis and decision-making. The operating quality of the data collection interface of the traffic IoT sensing device directly determines the accuracy and effectiveness of traffic monitoring. Therefore, the analysis and management of the data collection interface of the traffic IoT sensing device is of great significance.

[0003] The existing operation quality analysis of the data collection interface of the traffic IoT sensing device usually refers to the classification discussion of the timeliness of interface data collection and the accuracy of data collection, while ignoring the comprehensive analysis of data transmission quality, data transmission synchronization and resource allocation rationality. This analysis method may cause interference, loss or damage to the data during transmission without being detected, increasing the difficulty of troubleshooting and reducing system reliability. At the same time, the asynchrony of data from different sensing devices will make the analysis results inaccurate, delay emergency response, and affect traffic planning and emergency handling. In addition, not considering the rationality of resource allocation is likely to cause waste or shortage of resources, limit the scalability of the system, and is not conducive to the efficient operation and sustainable development of the traffic IoT system.

[0004] The existing operation quality analysis of the data collection interface of the traffic IoT sensing equipment lacks interference analysis of the interface spacing. This analysis method may lead to loss of data accuracy, increase in measurement errors, and decrease in data consistency, which will bring difficulties to the data analysis and decision-making of the traffic management department. At the same time, the system is inefficient, which may cause waste of resources and increase maintenance costs. Summary of the invention

[0005] In view of this, in order to solve the problems raised in the above background technology, a data collection interface analysis and management system for traffic Internet of Things sensing equipment is proposed.

[0006] The purpose of the present invention can be achieved through the following technical solutions: A traffic Internet of Things sensing device data acquisition interface analysis and management system, including: an interface spacing acquisition module, which is used to use a high-definition camera to collect the interface image of the target equipment box, and then analyze the monitoring interface spacing of each interface of the target equipment box.

[0007] The interface interference analysis module is used to analyze the interface interference conditions of each interface of the target device box based on the monitoring interface spacing of each interface of the target device box.

[0008] The data transmission quality analysis module is used to perform data transmission quality tests on each interface of the target device box, obtain data transmission quality parameters of each interface of the target device box, including packet loss rate and transmission rate, and analyze the data transmission quality of the target device box.

[0009] The data transmission synchronization analysis module is used to perform data transmission synchronization tests on each interface of the target device box, obtain the data transmission duration of each interface of the target device box, and analyze the data transmission synchronization of the target device box.

[0010] The resource allocation rationality analysis module is used to obtain resource allocation data of each interface of the target device box, wherein the resource allocation data specifically includes required bandwidth and actual bandwidth, and analyze the resource allocation rationality of the target device box.

[0011] The interface operation quality analysis module is used to analyze the interface operation quality of the target device box, and then determine whether there is any abnormality in the interface operation quality of the target device box.

[0012] The abnormal situation analysis module is used to further identify the specific abnormal direction when the target equipment box has an abnormal interface operation quality situation.

[0013] Compared with the prior art, the beneficial effects of the present invention are as follows: (1) When analyzing the interface operation quality of the target device, the present invention conducts a comprehensive analysis from multiple aspects such as data transmission quality, data transmission synchronization and resource allocation rationality. This analysis method can improve data reliability, ensure integrity and accuracy, improve system efficiency and stability through reasonable resource allocation, provide decision makers with comprehensive data analysis to support scientific decision-making, and discover room for improvement to promote technological innovation, providing strong guarantees for improving system performance and continuous improvement.

[0014] (2) When judging whether the target device box has an abnormal interface operation quality, the present invention corrects the monitoring interface operation quality index based on the interface interference of each interface of the target device box, and then judges the abnormal interface operation quality. This analysis method can more accurately reflect the actual operation status of the interface. By comprehensively considering the mutual influence between interfaces, not only the accuracy of the judgment is improved, but also the misjudgment or missed judgment that may be caused by the evaluation of a single indicator is effectively avoided, thereby ensuring the reliable monitoring and evaluation of the interface operation quality of the target device box. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0016] Figure 1 It is a schematic diagram of the connection of each module of the system of the present invention.

[0017] Figure 2 A schematic diagram of the steps of an embodiment of obtaining data transmission quality parameters provided by the present invention. DETAILED DESCRIPTION

[0018] 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.

[0019] See also Figure 1 As shown, the present invention provides a data acquisition interface analysis and management system for transportation Internet of Things sensing equipment, the system includes an interface spacing acquisition module, an interface interference analysis module, a data transmission quality analysis module, a data transmission synchronization analysis module, a resource allocation rationality analysis module, an interface operation quality analysis module and an abnormal situation analysis module, wherein the interface spacing acquisition module is connected to the interface interference analysis module, the interface interference analysis module, the data transmission quality analysis module, the data transmission synchronization analysis module and the resource allocation rationality analysis module are all connected to the interface operation quality analysis module, and the interface operation quality analysis module is connected to the abnormal situation analysis module.

[0020] The interface spacing acquisition module is used to collect interface images of the target device box using a high-definition camera, and then analyze the monitoring interface spacing of each interface of the target device box.

[0021] Preferably, the specific method of analyzing the monitoring interface spacing of each interface of the target device box is as follows: extracting the interface image of the target device box using a high-definition camera, and then using image processing software to obtain the spacing between each interface of the target device box and other interfaces, to obtain a number of monitoring spacings, and compare each monitoring spacing with a pre-set effective monitoring spacing threshold. If a monitoring spacing is greater than the effective monitoring spacing threshold, the monitoring spacing is judged to be an invalid monitoring spacing; otherwise, the monitoring spacing is judged to be a valid monitoring spacing, and the number of effective monitoring spacings of each interface of the target device box is obtained by counting.

[0022] The effective monitoring intervals of each interface of the target equipment box are averaged to obtain the monitoring interface intervals of each interface of the target equipment box.

[0023] The interface interference analysis module is used to analyze the interface interference conditions of each interface of the target device box based on the monitoring interface spacing of each interface of the target device box.

[0024] Preferably, the interface interference situation of each interface of the target device box needs to be analyzed to construct the interface interference index of each interface of the target device box, and the specific method is as follows: extract the monitoring interface spacing and the number of effective monitoring spacing of each interface of the target device box, and record them as , ,in Indicates the number of the pre-set interface. , Indicates the number of the target chassis interface.

[0025] Using the formula Analyze and obtain the interface interference index of each interface of the target equipment box ,in Indicates the preset reference spacing, Represents a natural constant.

[0026] It should be noted that the relationship between the interface spacing and the interface interference index is: in general, the smaller the interface spacing, the higher the interference index between interfaces. This is because when the physical distance between adjacent interfaces is close, the electromagnetic fields between them are more likely to couple with each other, thereby causing interference. On the contrary, when the interface spacing increases, the interference index usually decreases.

[0027] It should be noted that the reference spacing is set based on the following: the device may be subject to various signal interferences during operation, such as electromagnetic interference, radio frequency interference, etc. The reference interface spacing needs to take these interference factors into account to ensure that the signals between devices do not interfere with each other and affect the accuracy of data collection. If the device has weak anti-interference ability, the reference spacing may need to be appropriately increased.

[0028] The data transmission quality analysis module is used to perform data transmission quality tests on each interface of the target device box, obtain data transmission quality parameters of each interface of the target device box, specifically including packet loss rate and transmission rate, and analyze the data transmission quality of the target device box.

[0029] It should be noted that the reasons for selecting packet loss rate and transmission rate as the data transmission quality parameters of each interface of the target equipment box are: 1. The packet loss rate directly reflects the reliability of data during transmission. If the packet loss rate is too high, it means that data is lost during transmission, which may cause the receiving end to be unable to fully obtain the required information and affect the normal operation of the system. 2. The transmission rate determines the speed at which data is transmitted between interfaces. In the context of the rapid development of modern information technology, efficient data transmission is the key to ensuring the real-time performance of the system. For each interface of the target equipment box, the transmission rate directly affects the data processing and response speed.

[0030] Preferably, the data transmission quality of the target device box needs to be analyzed to construct a data transmission quality index of the target device box, which is specifically performed as follows: extracting the packet loss rate and transmission rate of each interface of the target device box, respectively denoted as , .

[0031] Using the formula Analyze and obtain the data transmission quality index of the target equipment box ,in Indicates the preset reference packet loss rate. Indicates the preset reference transmission rate. They represent the impact weights of the preset packet loss rate and transmission rate respectively.

[0032] It should be noted that the reference packet loss rate and reference transmission rate are set based on the following: interfaces of different types and specifications have different data transmission capabilities. For example, the transmission rate and packet loss rate of an Ethernet interface and a wireless interface may vary greatly. When setting the reference packet loss rate and reference transmission rate, it is necessary to consider the type and specification of each interface of the target device box to ensure that the set parameters are within the capabilities of the device.

[0033] It should be noted that the weights of packet loss rate and transmission rate are set based on: if the network environment of the target device box is relatively stable and the packet loss rate is usually low, the weight of the transmission rate can be appropriately increased to give full play to the transmission capacity of the network. If the network environment is unstable and the packet loss rate is high, the weight of the packet loss rate needs to be increased accordingly to more accurately reflect the performance of the device in this case.

[0034] For example, .

[0035] Preferably, see Figure 2 As shown, the packet loss rate and transmission rate of each interface of the target device box are obtained as follows: A1. Device connection: connect each interface of the target device box to the test device.

[0036] A2. Packet loss rate test: Use network monitoring software or command line tools to send a certain number of data packets to each interface of the target device box, and record the data packets received by each interface to obtain the number of data packets sent by each interface of the target device box. and the number of packets received ;

[0037] A3. Packet loss rate analysis: using the formula Analyze and obtain the packet loss rate of each interface of the target device box .

[0038] A4. Transmission rate test: Use network monitoring software to measure the amount of data transmitted by each interface of the target device box within a preset period of time, recorded as .

[0039] A5. Transmission rate analysis: using the formula Analyze and obtain the transmission rate of each interface of the target device box ,in Indicates the duration of the preset time period.

[0040] For example, .

[0041] The data transmission synchronicity analysis module is used to perform data transmission synchronicity test on each interface of the target device box, obtain the data transmission duration of each interface of the target device box, and analyze the data transmission synchronicity of the target device box.

[0042] It should be noted that the reasons for testing the transmission synchronization of each interface of the target equipment cabinet are: 1. When the data of multiple interfaces need to be fused, synchronization is the key. If the data is not synchronized, the fusion result may be wrong or inaccurate. By testing the transmission synchronization, it can be ensured that the data can be effectively integrated and the utilization value of the data can be improved. 2. Asynchronous transmission may cause system instability. For example, in a distributed system, if the data transmission between each node is not synchronized, it may cause data conflicts, system failures and other problems. By testing synchronization, these potential problems can be discovered and solved in advance, enhancing the stability of the system.

[0043] Preferably, the analysis of the data transmission synchronization of the target device box requires constructing a data transmission synchronization index of the target device box, which is specifically performed as follows: extracting the data transmission duration of each interface of the target device box, recorded as .

[0044] Using the formula Analyze and obtain the data transmission synchronization index of the target equipment box ,in Indicates the preset reference transmission duration.

[0045] The resource allocation rationality analysis module is used to obtain resource allocation data of each interface of the target device box, wherein the resource allocation data specifically includes required bandwidth and actual bandwidth, and analyze the resource allocation rationality of the target device box.

[0046] It should be noted that the reason for selecting bandwidth as a factor affecting the rationality of resource allocation of the target device box is that bandwidth determines the amount of data that can be transmitted by each interface of the target device box per unit time. It directly reflects the data transmission capacity of the device box and is an important parameter for measuring whether resource allocation is reasonable. If the bandwidth is insufficient, data transmission will be slow, stuck, or even data loss will occur, which will seriously affect the performance and stability of the system.

[0047] It should be noted that the reasons for analyzing the rationality of resource allocation in the target device box are: 1. Reasonable resource allocation can ensure that each component in the target device box can obtain sufficient resources to operate normally. If the resource allocation is unreasonable, it may lead to insufficient resources for some key components, thus affecting the performance of the entire system. For example, if the processor is allocated too few resources, it may cause slow data processing and affect the response time of the system. 2. Reasonable resource allocation is crucial to ensure business continuity. If the resource allocation is unreasonable, it may lead to resource shortages during business peaks, thus affecting the normal operation of the business. Analyzing the rationality of resource allocation can predict changes in resource requirements in advance and make corresponding adjustments to ensure business continuity.

[0048] Preferably, the analysis of the rationality of resource allocation of the target device box requires constructing a resource allocation rationality index of the target device box, which is specifically performed as follows: extracting the required bandwidth and actual bandwidth of each interface of the target device box, respectively recorded as , .

[0049] Using the formula Analyze and obtain the resource allocation rationality index of the target equipment box ,in Indicates the allowable difference between the preset actual bandwidth and the required bandwidth.

[0050] The interface operation quality analysis module is used to analyze the interface operation quality of the target device box, and then determine whether there is an abnormality in the interface operation quality of the target device box.

[0051] Preferably, the analysis of the interface operation quality of the target device box requires constructing an interface operation quality index of the target device box, which is specifically performed as follows: extracting the interface interference index of each interface of the target device box , Data transmission quality index of the target device box , Data transmission synchronization index of the target device box and the resource allocation rationality index of the target device box .

[0052] Using the formula Analyze and obtain the monitoring interface operation quality index of the target equipment box ,in They respectively represent the weight factors corresponding to the data transmission quality index, data transmission synchronization index and resource allocation rationality index of the target equipment box.

[0053] It should be noted that the weight factors corresponding to the data transmission quality index, data transmission synchronization index and resource allocation rationality index of the target equipment box are set based on the following: 1. Different services have different requirements for data transmission quality, synchronization and resource allocation rationality. For example, for real-time video streaming services, data transmission synchronization may be more important because the smoothness and continuity of the picture are crucial to the user experience. For file backup services, data transmission quality and resource allocation rationality may be more critical to ensure the integrity and efficient transmission of files. 2. Some applications may have clear requirements for service quality, such as delay, packet loss rate, bandwidth, etc. These requirements will affect the weight setting of each index. For example, if an application is very sensitive to delay, the weight of the data transmission synchronization index may be increased accordingly to ensure that the data can be transmitted in a timely manner.

[0054] For example, .

[0055] It should be noted that the present invention conducts a comprehensive analysis from multiple aspects such as data transmission quality, data transmission synchronization and resource allocation rationality when analyzing the interface operation quality of the target device. This analysis method can improve data reliability, ensure integrity and accuracy, improve system efficiency and stability through reasonable resource allocation, provide decision makers with comprehensive data analysis to support scientific decision-making, and discover room for improvement to promote technological innovation, providing strong guarantees for improving system performance and continuous improvement.

[0056] The interface interference index of each interface of the target equipment box is averaged to obtain the interface interference index of the target equipment box, and then the interface interference index of the target equipment box is multiplied by the monitoring interface operation quality index to obtain the corrected interface operation quality index, and the monitoring interface operation quality index of the target device and the corrected interface operation quality index are summed to obtain the interface operation quality index of the target equipment box.

[0057] It should be noted that the present invention corrects the monitoring interface operation quality index based on the interface interference of each interface of the target equipment box when judging whether the target equipment box has an abnormal interface operation quality, and then judges the abnormal interface operation quality. This analysis method can more accurately reflect the actual operation status of the interface. By comprehensively considering the mutual influence between interfaces, not only the accuracy of the judgment is improved, but also the misjudgment or missed judgment that may be caused by the evaluation of a single indicator is effectively avoided, thereby ensuring the reliable monitoring and evaluation of the interface operation quality of the target equipment box.

[0058] Preferably, the specific method for judging whether there is any abnormality in the interface operation quality of the target equipment box is as follows: comparing the interface operation quality index of the target equipment box with a preset interface operation quality index threshold; if the interface operation quality index of the target equipment box is greater than or equal to the interface operation quality index threshold, it is judged that there is no abnormality in the interface operation quality of the target equipment box; if the interface operation quality index of the target equipment box is less than the interface operation quality index threshold, it is judged that there is an abnormality in the interface operation quality of the target equipment box.

[0059] It should be noted that the interface operation quality index threshold is set based on: 1. If the business supported by the target equipment box is very critical, such as in medical emergency systems, financial transaction systems or industrial automation control, the interface operation quality requirements are extremely high. At this time, the interface operation quality index threshold should be set more strictly to ensure the high reliability and stability of the system. 2. Evaluate your own maintenance resources and capabilities, including technicians, equipment spare parts, maintenance budget, etc. If maintenance resources are limited, you may need to set a relatively high threshold to reduce the frequency of failures and reduce maintenance costs and pressure.

[0060] Exemplarily, the interface operation quality index threshold is .

[0061] The abnormal situation analysis module is used to further identify the specific abnormal direction when the target equipment box has an abnormal interface operation quality situation.

[0062] Preferably, the method of identifying specific abnormality directions is as follows: extracting the data transmission quality index of the target equipment box, the data transmission synchronization index of the target equipment box and the resource allocation rationality index of the target equipment box, and then comparing them with the pre-set data transmission quality index threshold, data transmission synchronization index threshold and resource allocation rationality index threshold respectively.

[0063] It should be noted that the data transmission quality index threshold, data transmission synchronization index threshold and resource allocation rationality index threshold are set based on the following: 1. Different services have different requirements for data transmission quality, synchronization and resource allocation rationality. For example, for services such as real-time video conferencing that have extremely high synchronization requirements, the data transmission synchronization index threshold should be set more strictly. For services such as file downloading that have high requirements for resource allocation rationality, the resource allocation rationality index threshold may be more critical. 2. The hardware specifications of the target device box, such as processor performance, memory capacity, network interface type and speed, etc., will affect the performance of data transmission quality, synchronization and resource allocation. According to the performance characteristics of the device, a reasonable index threshold can be set to give full play to the advantages of the device while avoiding device performance bottlenecks caused by excessive requirements.

[0064] Exemplarily, the data transmission quality index threshold is , the data transmission synchronization index threshold is , the resource allocation rationality index threshold is .

[0065] If the data transmission quality index of the target device box is less than the data transmission quality index threshold, the specific abnormality is identified as a data transmission quality abnormality.

[0066] If the data transmission synchronization index of the target device box is less than the data transmission synchronization index threshold, the specific abnormality is identified as a data transmission synchronization abnormality.

[0067] If the resource allocation rationality index of the target equipment box is less than the resource allocation rationality index threshold, the specific abnormality is identified as a resource allocation rationality abnormality.

[0068] It should be noted that the specific abnormality may be one or more of abnormal data transmission quality, abnormal data transmission synchronization, and abnormal resource allocation rationality.

[0069] It should be noted that when the target device box has an abnormal interface operation quality, further identify the specific cause of the abnormality: 1. Clarifying the specific abnormality can help technicians quickly determine the location and cause of the problem. This can avoid blind troubleshooting and save a lot of time and energy. For example, if it is determined that the abnormality points to a data transmission quality problem on a specific interface, technicians can focus on checking the connection, device configuration, or signal interference of the interface instead of conducting a comprehensive inspection of the entire device box. 2. By further identifying the specific abnormality, a more in-depth analysis of the problem can be performed. Understanding the root cause of the problem will help develop a long-term prevention strategy to avoid similar problems from happening again in the future. For example, if it is found that the abnormality is due to the degradation of interface performance caused by aging of the equipment, you can consider replacing the equipment in advance or performing regular maintenance to prevent the problem from happening again.

[0070] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they shall all fall within the protection scope of the present invention.

Claims

1. A data collection interface analysis and management system for traffic Internet of Things sensing equipment, characterized in that: include: The interface spacing acquisition module is used to use a high-definition camera to collect interface images of the target device box, and then analyze the monitoring interface spacing of each interface of the target device box; An interface interference analysis module, used to analyze the interface interference of each interface of the target device box based on the monitoring interface spacing of each interface of the target device box; The data transmission quality analysis module is used to perform data transmission quality tests on each interface of the target device box, obtain the data transmission quality parameters of each interface of the target device box, including packet loss rate and transmission rate, and analyze the data transmission quality of the target device box; The data transmission synchronization analysis module is used to perform data transmission synchronization test on each interface of the target device box, obtain the data transmission duration of each interface of the target device box, and analyze the data transmission synchronization of the target device box; A resource allocation rationality analysis module is used to obtain resource allocation data of each interface of the target device box, wherein the resource allocation data specifically includes required bandwidth and actual bandwidth, and analyze the rationality of resource allocation of the target device box; The interface operation quality analysis module is used to analyze the interface operation quality of the target device box, and then determine whether there is an abnormality in the interface operation quality of the target device box; The abnormal situation analysis module is used to further identify the specific abnormal direction when the target equipment box has abnormal interface operation quality; The analysis of the data transmission quality of the target device box requires constructing a data transmission quality index of the target device box, and the specific method is as follows: Extract the packet loss rate and transmission rate of each interface of the target equipment box and record them as , ; Using the formula Analyze and obtain the data transmission quality index of the target equipment box ,in Indicates the preset reference packet loss rate. Indicates the preset reference transmission rate. They represent the impact weights of the preset packet loss rate and transmission rate respectively; The packet loss rate and transmission rate of each interface of the target device box are obtained as follows: A1. Equipment connection: Connect each interface of the target equipment box with the test equipment; A2. Packet loss rate test: Use network monitoring software or command line tools to send a certain number of data packets to each interface of the target device box, and record the data packets received by each interface to obtain the number of data packets sent by each interface of the target device box. and the number of packets received ; A3. Packet loss rate analysis: using the formula Analyze and obtain the packet loss rate of each interface of the target device box ; A4. Transmission rate test: Use network monitoring software to measure the amount of data transmitted by each interface of the target device box within a preset period of time, recorded as ; A5. Transmission rate analysis: using the formula Analyze and obtain the transmission rate of each interface of the target device box ,in Indicates the duration of the preset time period; The analysis of the data transmission synchronization of the target device box requires constructing a data transmission synchronization index of the target device box, and the specific method is as follows: Extract the data transmission time of each interface of the target device box and record it as ; Using the formula Analyze and obtain the data transmission synchronization index of the target equipment box ,in Indicates the preset reference transmission duration; The analysis of the rationality of resource allocation of the target device box requires constructing a resource allocation rationality index of the target device box, and the specific method is as follows: Extract the required bandwidth and actual bandwidth of each interface of the target device box and record them as , ; Using the formula Analyze and obtain the resource allocation rationality index of the target equipment box ,in Indicates the allowable difference between the preset actual bandwidth and the required bandwidth; The analysis of the interface operation quality of the target device box requires constructing an interface operation quality index of the target device box, and the specific method is as follows: Extract the interface interference index of each interface of the target equipment box , Data transmission quality index of the target device box , Data transmission synchronization index of the target device box and the resource allocation rationality index of the target device box ; Using the formula Analyze and obtain the monitoring interface operation quality index of the target equipment box ,in Respectively represent the weight factors corresponding to the data transmission quality index, data transmission synchronization index and resource allocation rationality index of the target equipment box; The interface interference index of each interface of the target equipment box is averaged to obtain the interface interference index of the target equipment box, and then the interface interference index of the target equipment box is multiplied by the monitoring interface operation quality index to obtain the corrected interface operation quality index, and the monitoring interface operation quality index of the target device and the corrected interface operation quality index are summed to obtain the interface operation quality index of the target equipment box.

2. A data collection interface analysis and management system for transportation Internet of Things sensing equipment according to claim 1, characterized in that: The specific method of analyzing the monitoring interface spacing of each interface of the target device box is as follows: Extract the interface image of the target device box collected by a high-definition camera, and then use image processing software to obtain the distance between each interface of the target device box and other interfaces, and obtain several monitoring distances. Compare each monitoring distance with the preset effective monitoring distance threshold. If a monitoring distance is greater than the effective monitoring distance threshold, the monitoring distance is judged to be an invalid monitoring distance. Otherwise, the monitoring distance is judged to be a valid monitoring distance, and the number of effective monitoring distances of each interface of the target device box is obtained by counting; The effective monitoring intervals of each interface of the target equipment box are averaged to obtain the monitoring interface intervals of each interface of the target equipment box.

3. A data collection interface analysis and management system for transportation Internet of Things sensing equipment as claimed in claim 2, characterized in that: The analysis of the interface interference of each interface of the target device box requires constructing the interface interference index of each interface of the target device box, and the specific method is as follows: Extract the monitoring interface spacing and effective monitoring spacing of each interface of the target equipment box, and record them as , ,in Indicates the number of the pre-set interface. , Indicates the number of target device box interfaces; Using the formula Analyze and obtain the interface interference index of each interface of the target equipment box ,in Indicates the preset reference spacing, Represents a natural constant.

4. A data collection interface analysis and management system for transportation Internet of Things sensing equipment according to claim 1, characterized in that: The specific method of determining whether the target device box has an abnormal interface operation quality is as follows: The interface operation quality index of the target device box is compared with the preset interface operation quality index threshold. If the interface operation quality index of the target device box is greater than or equal to the interface operation quality index threshold, it is judged that there is no abnormality in the interface operation quality of the target device box. If the interface operation quality index of the target device box is less than the interface operation quality index threshold, it is judged that there is an abnormality in the interface operation quality of the target device box.

5. A data collection interface analysis and management system for transportation Internet of Things sensing equipment according to claim 1, characterized in that: The method of identifying the specific abnormal direction is as follows: Extracting the data transmission quality index of the target device box, the data transmission synchronization index of the target device box, and the resource allocation rationality index of the target device box, and then comparing them with the pre-set data transmission quality index threshold, data transmission synchronization index threshold, and resource allocation rationality index threshold respectively; If the data transmission quality index of the target device box is less than the data transmission quality index threshold, the specific abnormality is identified as data transmission quality abnormality; If the data transmission synchronization index of the target device box is less than the data transmission synchronization index threshold, the specific abnormality is identified as a data transmission synchronization abnormality; If the resource allocation rationality index of the target equipment box is less than the resource allocation rationality index threshold, the specific abnormality is identified as a resource allocation rationality abnormality.

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