5G-A technology intelligent lamp post system applied to traffic management

Abstract

The invention relates to the technical field of lamp post illumination traffic management, and particularly discloses a 5G-A technology intelligent lamp post system applied to traffic management, which is provided with a data quality judgment module, a road condition information extraction module, a road condition congestion evaluation module and a traffic management control module. Firstly, data quality monitoring is carried out on data transmission equipment to which the intelligent lamp pole belongs, so that the quality condition of data transmission corresponding to the intelligent lamp pole combined with 5G-A is obtained, and a traffic management cloud service center judges whether to carry out data preprocessing so as to accurately extract and analyze road condition information of a management and control area to which the intelligent lamp pole belongs; according to the method, the intelligent lamp post is used as a control area, the road condition congestion index of the control area to which the intelligent lamp post belongs is accurately evaluated, the intelligent illumination adjusting function and the intelligent reminding function of the intelligent lamp post are utilized under the trend of traffic congestion, energy-saving and emission-reducing traffic management is realized, and meanwhile, the traffic efficiency of a road is improved.

Description

Technical Field

[0001] The present invention relates to the field of lamp pole lighting traffic management technology, and specifically to a 5G-A technology smart lamp pole system applied to traffic management. Background Art

[0002] With the acceleration of urbanization, traffic problems have become increasingly prominent. How to effectively manage traffic has become an important issue facing urban managers. In order to solve this problem, we are currently trying to use advanced 5G-A technology combined with a smart lamp pole system to achieve effective traffic management. However, before conducting an efficient traffic management process, it is crucial to determine whether traffic management can be carried out. If the traffic operation status cannot be accurately known, incorrect management methods will be adopted, which will be detrimental to traffic management efforts and increase the difficulty of traffic management.

[0003] For example, the invention patent with announcement number CN109945139B announces a multifunctional smart lamp pole system based on 5G communication, including: a master control system for controlling the network area formed by street lamps; street lamp bodies, which are distributed in the city to form a street lamp network structure, and there is at least another street lamp body within a first distance of each street lamp body; a communication module, located on each street lamp body, used for communication between street lamp bodies, communication between lamp poles and monitoring centers, and 5G signal coverage; a self-test monitoring system, which is connected to the circuit inside a single street lamp and is used to monitor the real-time status of the circuit; an underground pipe gallery, which is located underground and connects the street lamp body to the power supply equipment by wire and exchanges the information of the street lamp system with the master control console by wire; wherein the first distance is the radius value of the lighting range of the street lamp.

[0004] For example, the invention patent with announcement number CN115751261B announces a smart street light based on an assembled multifunctional lamp pole, including a lamp pole, a top mounting box fixed to the top of the lamp pole, and a plurality of lighting units, wherein a controller and a remote communication unit are installed in the top mounting box, the lamp pole has a rectangular mounting space, a front panel is fixedly installed on the front of the rectangular mounting space, the front panel has a plurality of panel through holes distributed in a row, and a display unit is installed on the back of the rectangular mounting space; the lighting unit includes a lighting mounting plate and an LED lamp head installed on the lighting mounting plate, the number of the lighting units is equal to the number of the panel through holes and the two correspond one to one, and each lighting unit passes through one of the panel through holes.

[0005] Combining the above technical solutions, it is found that the current technical solutions combining smart light poles and the Internet of Things only describe the advantages brought by the combination of the two. However, in actual conditions, there will be many factors that affect the degree of management. If the factors have a strong impact, it will directly lead to ineffective management, which is not conducive to the combination of smart light poles and the Internet of Things, so that its advantages cannot be reflected. Summary of the invention

[0006] In view of the shortcomings of the prior art, the present invention provides a 5G-A technology smart lamp pole system for traffic management, which can effectively solve the problems involved in the above-mentioned background technology.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: a 5G-A technology smart lamp pole system applied to traffic management, including a data quality determination module, which is used to monitor the data quality of the data transmission equipment belonging to the smart lamp pole, thereby extracting the data transmission related information of the data transmission equipment belonging to the smart lamp pole, and determining the data transmission quality interference index of the data transmission equipment belonging to the smart lamp pole; a road condition information extraction module, which is used to compare the data transmission quality interference index of the data transmission equipment belonging to the smart lamp pole with a preset data transmission quality interference reference value through the traffic management cloud service center, and at the same time receive the transmission information of the data transmission equipment belonging to the smart lamp pole. Based on the comparison result, the traffic management cloud service center extracts the road condition information of the control area to which the smart lamp pole belongs from the transmission information of the data transmission equipment belonging to the smart lamp pole; a road condition congestion evaluation module, which is used to perform data analysis on the road condition information of the control area to which the smart lamp pole belongs through the traffic management cloud service center, and evaluate the road condition congestion index of the control area to which the smart lamp pole belongs; a traffic management control module, which is used for the traffic management cloud service center to determine the control execution result of the reminder device of the smart lamp pole based on the road condition congestion index of the control area to which the smart lamp pole belongs, and perform automatic reminder control.

[0008] As a further solution, the traffic management cloud service center extracts the road condition information of the control area of ​​the smart light pole from the transmission information of the data transmission device to which the smart light pole belongs. The specific process is as follows:

[0009] The data transmission quality interference index of the data transmission equipment belonging to the smart lamp pole is compared with a preset data transmission quality interference reference value, that is, if the data transmission quality interference index of the data transmission equipment belonging to the smart lamp pole is higher than or equal to the preset data transmission quality interference reference value, the transmission information of the data transmission equipment belonging to the smart light pole is preprocessed by the traffic management cloud service center, and the road condition information of the control area of ​​the smart light pole is extracted from the preprocessed transmission information; if the data transmission quality interference index of the data transmission equipment belonging to the smart light pole is lower than the preset data transmission quality interference reference value, the road condition information of the control area of ​​the smart light pole is directly extracted from the transmission information of the data transmission equipment belonging to the smart light pole by the traffic management cloud service center.

[0010] As a further solution, the traffic management cloud service center determines the control execution result of the reminder device of the smart lamp pole and performs automatic reminder control. The specific process is:

[0011] Based on the traffic congestion index of the control area to which the smart light pole belongs, it is compared with the preset traffic congestion threshold. If the traffic congestion index of the control area to which the smart light pole belongs is higher than or equal to the traffic congestion threshold, the control area to which the smart light pole belongs is recorded as the pre-control area; the traffic management cloud service center obtains the environmental information of the pre-control area, and analyzes the traffic reminder demand index of the pre-control area in combination with the traffic congestion index of the control area to which the smart light pole belongs, and verifies it with the preset traffic reminder demand threshold to determine the execution result of the reminder device control of the smart light pole. If the reminder device control execution result is that reminder is required, the smart light pole will perform automatic reminder control; if the reminder device control execution result is that reminder is not required, the smart light pole does not need to perform automatic reminder control.

[0012] As a further solution, the traffic reminder demand index of the pre-controlled area is verified with the preset traffic reminder demand threshold, and the lighting device control execution result of the smart lamp pole can also be determined. If the lighting device control execution result is that lighting control is required, the smart lamp pole performs automatic lighting control. The specific lighting control process is as follows:

[0013] Based on the traffic reminder demand index of the pre-control area, the first reference lighting brightness of the lighting device of the smart lamp pole is matched, and the actual average brightness of the environment in the pre-control area during the current control period is obtained, and the second reference lighting brightness of the lighting device of the smart lamp pole is matched; the first reference lighting brightness of the lighting device of the smart lamp pole and the second reference lighting brightness of the lighting device of the smart lamp pole are averaged to obtain the actual demand brightness of the lighting device of the smart lamp pole, and the actual lighting brightness of the lighting device of the smart lamp pole is obtained, and the difference between the actual demand brightness of the lighting device of the smart lamp pole and the lighting device of the smart lamp pole is obtained to obtain the actual adjustment brightness of the lighting device of the smart lamp pole, so that the smart lamp pole performs automatic lighting control.

[0014] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects:

[0015] (1) The present invention provides a 5G-A technology smart lamp pole system for traffic management. First, the data quality of the data transmission equipment of the smart lamp pole is monitored, and the data transmission quality interference index of the data transmission equipment of the smart lamp pole is determined. The quality of the data transmission corresponding to the integrated traffic management platform of the smart lamp pole combined with 5G-A is obtained, so that the traffic management cloud service center determines whether to perform data preprocessing, so as to accurately extract and analyze the road condition information of the control area of ​​the smart lamp pole, accurately evaluate the road congestion index of the control area of ​​the smart lamp pole, and compare it with the preset road congestion threshold. By combining the smart lamp pole with 5G-A intelligent traffic control, the traffic congestion prediction, management and control of the smart lamp pole are completed, which can eventually reduce traffic congestion and improve road traffic efficiency.

[0016] (2) The present invention monitors the data quality of the data transmission equipment belonging to the smart light pole, thereby extracting the data transmission related information of the data transmission equipment belonging to the smart light pole, so as to identify and evaluate the information level of the smart light pole combined with 5G-A, and obtains the data transmission quality interference index of the data transmission equipment belonging to the smart light pole by quantification, and compares it with the preset data transmission quality interference reference value, so that the traffic management cloud service center can understand the quality status of the transmission information of the data transmission equipment to determine whether to perform data preprocessing operations, and finally ensure that the extracted road condition information of the control area to which the smart light pole belongs is more accurate, so as to provide more accurate data basis for the subsequent evaluation of the road condition congestion index.

[0017] (3) The present invention uses the traffic management cloud service center to perform data analysis on the road condition information of the area under the control of the smart lamp pole, evaluates the road congestion index of the area under the control of the smart lamp pole, and compares it with the preset road congestion threshold to effectively control the traffic. In the case of traffic congestion, the smart lamp pole's intelligent lighting adjustment function and automatic reminder function are used to achieve energy-saving and emission-reduction traffic management on the one hand, and efficiently alleviate traffic congestion on the other hand, effectively avoid potential accident risks, and reduce the incidence of traffic accidents. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative work.

[0019] Figure 1 It is a schematic diagram of system module connection of the present invention. DETAILED DESCRIPTION

[0020] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0021] In this example, each module is further explained in combination with the scenario:

[0022] The scenarios described in this example are mostly in cities. Due to their dense populations and complex roads, effective traffic management is required to maintain the smoothness of road traffic. Since 5G-A networks have the characteristics of high speed and low latency, the smart light poles in this example are integrated with 5G-A synaesthesia integrated equipment (i.e., the data transmission equipment in this example), including high-definition cameras, millimeter-wave radars, environmental sensors, etc., so as to collect multi-dimensional data such as vehicle speed, flow, vehicle type, road conditions, etc. on the roads in the area covered by the smart light poles in real time, and quickly transmit the collected data to the cloud server of the traffic management center (i.e., the traffic management cloud service center in this example); the traffic management cloud service center uses built-in big data analysis algorithms to conduct in-depth analysis and processing of the collected data, and evaluate the road conditions in real time. The traffic congestion situation, etc., provides data support for subsequent traffic management decisions; the traffic management cloud service center determines whether to carry out corresponding traffic congestion regulation based on the results of analysis and processing, and when there is a trend of traffic congestion, the traffic management cloud service center controls the reminder device, that is, through the display screen and broadcast on the smart light pole, it provides drivers with road conditions and detour suggestions in a timely manner to guide vehicle diversion; the smart light pole is also equipped with an intelligent lighting system. The traffic management cloud service center adjusts the brightness of the traffic lights of the intelligent lighting system in the smart light pole according to the ambient light and traffic flow (the traffic lights here refer to the street lights and other devices with lighting functions deployed by the smart light pole, and does not include the adjustment of traffic lights), to achieve energy-saving and comfortable lighting effects, and ultimately complete the effective management of traffic in the city.

[0023] Through the above process, the focus of this example analysis is to determine whether the quality of the data transmitted by the data transmission device is good. Due to the performance of the data transmission device itself and some influencing factors during the data transmission process, the data received by the traffic management cloud service center is not completely accurate, which will directly affect the subsequent traffic congestion determination results and ultimately make incorrect traffic management. Therefore, first determine whether the quality of the transmission data is good, so that the traffic management cloud service center can decide whether to pre-process the data, and finally extract high-precision road condition information and analyze the precise road congestion situation.

[0024] Through the above, in fact, traffic congestion can be directly determined through the traffic management cloud service center. Before that, the purpose of making data quality judgment is that since the traffic management cloud service center is a complex integrated management platform and the relevant data received is relatively large, if the road condition data of the road is directly determined, there will be more unreasonable data, data duplication and data missing problems, which will increase the workload of the traffic management cloud service center, and the data preprocessing process of the traffic management cloud service center takes a long time. If the preprocessed data is used for congestion judgment, it is not conducive to the real-time management of traffic, that is, the management plan will be delayed; therefore, first determine the data sending end (that is, the data If there is no data quality problem, the traffic management cloud service center can reduce a certain amount of workload, that is, directly determine the traffic congestion. If there is a data quality problem, the traffic management cloud service center will perform data preprocessing, and when there is little traffic or power failure, timely maintenance (such as the network optimization connection operation mentioned in this example, and of course, replacement of the relay originally provided by the smart lamp pole) will be carried out to ensure the quality of data transmission, so that the traffic management cloud service center has fewer data preprocessing behaviors to maintain the real-time and smoothness of data analysis by the traffic management cloud service center.

[0025] The above-mentioned traffic management cloud service center is equipped with big data technology (such as Hadoop and Spark, which are used to process and analyze large amounts of traffic data). The traffic management cloud service center analyzes road data in real time, determines traffic flow and congestion conditions, and then generates control strategies based on the data analysis results, including adjusting the lighting brightness of lighting devices and issuing congestion reminders to reminder devices.

[0026] The above descriptions are all the results of judgments made when the vehicle is manually driven and no traffic accidents occur in the smart lamp pole control area. In fact, this example can also be used on unmanned roads. The processing process is not described in detail. The effect in this scenario is to provide high-precision positioning and road condition perception information for autonomous driving vehicles, assisting vehicles in making more accurate driving decisions, and communicating with autonomous driving vehicles in real time to ensure their safe driving in complex traffic environments. Of course, this example can also be used on roads where traffic accidents occur. The processing process is not described in detail. The effect in this scenario is to be able to quickly locate the accident site, and obtain on-site information through cameras and sensors on smart lamp poles, plan the optimal route for rescue vehicles, open green channels, and improve rescue efficiency.

[0027] See also Figure 1As shown, an embodiment of the present invention provides a technical solution: a 5G-A technology smart lamp pole system applied to traffic management, including a data quality determination module, a road condition information extraction module, a road condition congestion assessment module, a traffic management control module and a traffic management database.

[0028] The data quality determination module, the road condition information extraction module, the road condition congestion assessment module and the traffic management control module are all connected to the traffic management database, the data quality determination module is connected to the road condition information extraction module, the road condition information extraction module is connected to the road condition congestion assessment module, and the road condition congestion assessment module is connected to the traffic management control module.

[0029] The data quality determination module is used to monitor the data quality of the data transmission equipment belonging to the smart lamp pole, thereby extracting the data transmission related information of the data transmission equipment belonging to the smart lamp pole, and determining the data transmission quality interference index of the data transmission equipment belonging to the smart lamp pole.

[0030] Specifically, the data transmission related information of the data transmission equipment to which the smart lamp pole belongs includes the performance information of the data transmission equipment and the network transmission information between the data transmission equipment and the traffic management cloud service center; the performance information of the data transmission equipment includes the minimum frame rate of the transmission picture, the minimum resolution of the transmission picture, the average compression rate of the transmission picture and the maximum operating temperature of the data transmission equipment during the quality monitoring period; the network transmission information between the data transmission equipment and the traffic management cloud service center includes the minimum signal strength between the data transmission equipment and the traffic management cloud service center during the quality monitoring period, the maximum delay time of data transmission, the minimum bandwidth of the data transmission network and the number of jitters of the data transmission network.

[0031] The data transmission related information of the data transmission equipment of the above-mentioned smart lamp pole can be extracted from the components of the data transmission equipment through Zabbix. For example, the minimum frame rate of the transmission picture is monitored through the built-in log system of the camera and read through the API; the minimum resolution of the transmission picture can obtain the record of the minimum resolution during the transmission process through the management interface of the device (such as ONVI F protocol); the average compression rate of the transmission picture can obtain the compression rate information through the API; the maximum operating temperature obtains the temperature data through the SNMP protocol; the minimum signal strength is because the device will record the signal strength data and is extracted through the device interface; the maximum delay time of data transmission can be measured through a network monitoring tool (such as the ICMP protocol) to record the maximum delay time during the monitoring period;

[0032] The minimum bandwidth of the data transmission network can be obtained through the device's built-in QoS (quality of service) monitoring function;

[0033] The number of data transmission network jitters can be obtained through QoS monitoring tools.

[0034] The Zabbix (no special Chinese translation) is a data quality monitoring and management platform that can monitor various performance indicators of smart lamp pole data transmission equipment, including frame rate, signal strength, network bandwidth, delay, jitter, etc., and then generate a data transmission quality interference index through Zabbix customized monitoring rules and scripts (the generation process of this example is the expression calculation process described below), and then send the generated data transmission quality interference index to the traffic management cloud service center through the API. The traffic management cloud service center then determines the data quality of the data transmission equipment to which the smart lamp pole belongs, and then decides whether to perform data preprocessing.

[0035] It should be explained that the above-mentioned quality monitoring period represents the length of time that Zabb ix analyzes the monitoring data of the data transmission device, and the specific method of obtaining it can be obtained from the built-in timestamp of Zabb ix.

[0036] Furthermore, the data transmission quality interference index of the data transmission equipment to which the smart lamp pole belongs is determined comprehensively based on the minimum frame rate of the transmission picture, the minimum resolution of the transmission picture, the average compression rate of the transmission picture, the maximum operating temperature of the data transmission equipment during the quality monitoring period, and the minimum signal strength between the data transmission equipment and the traffic management cloud service center during the quality monitoring period, the maximum data transmission delay, the minimum bandwidth of the data transmission network, and the number of data transmission network jitters. The data transmission quality interference index of the data transmission equipment to which the smart lamp pole belongs is used to characterize the degree of quality judgment of data transmission of the data transmission equipment.

[0037] It should be explained that the data transmission quality interference index of the data transmission equipment of the above-mentioned smart lamp pole is expressed as follows:

[0038]

[0039] Among them, D1 is the first data quality interference coefficient of the data transmission device, which represents the value obtained by comprehensive processing of the minimum frame rate of the transmission picture, the minimum resolution of the transmission picture, the average compression rate of the transmission picture and the maximum operating temperature.

[0040] D2 is the second data quality interference coefficient between the data transmission equipment and the traffic management cloud service center, which is a value obtained by comprehensive processing of the minimum signal strength, the maximum delay time of data transmission, the minimum bandwidth of the data transmission network, and the number of jitters of the data transmission network.

[0041] α1 is the weight factor corresponding to the first data quality interference coefficient preset in the traffic management database. When in use, the weight factor corresponding to the first data quality interference coefficient can be directly obtained from the traffic management database, and the corresponding relationship can be a preset mapping relationship. For example, the minimum frame rate of the transmission picture and the weight factor corresponding to the first data quality interference coefficient preset in the traffic management database form a mapping set, and the real-time transmission picture minimum frame rate mapping set is used to obtain the weight factor corresponding to the first data quality interference coefficient. The mapping relationship can be one-to-one or many-to-one. In this example, its value range is [0, 1].

[0042] α2 is the weight factor corresponding to the second data quality interference coefficient preset in the traffic management database. When in use, the weight factor corresponding to the second data quality interference coefficient can be directly obtained from the traffic management database, and the corresponding relationship can be a pre-set mapping relationship. For example, the minimum signal strength and the weight factor corresponding to the second data quality interference coefficient preset in the traffic management database form a mapping set, and the real-time minimum signal strength mapping set is used to obtain the weight factor corresponding to the second data quality interference coefficient. The mapping relationship can be one-to-one or many-to-one. In this example, its value range is [0, 1].

[0043] e is a natural constant.

[0044]

[0045] In the formula, TOS 1c It is the minimum frame rate of the transmitted image of the data transmission device during the quality monitoring period, indicating the minimum image update frequency that the data transmission device can continuously transmit during this period.

[0046] TOS Δ1c The transmission image frame rate limit value preset for the traffic management database, that is, the pre-specified minimum frame rate value at which the data transmission equipment can continuously transmit the image.

[0047] TOS 2c It is the minimum resolution of the transmitted image of the data transmission device during the quality monitoring period, indicating the minimum picture clarity or detail level that the data transmission device can continuously transmit during the period.

[0048] TOS Δ2c The transmission image resolution limit value preset for the traffic management database, that is, the pre-specified minimum resolution value at which the data transmission equipment can continuously transmit images.

[0049] TOS 3c It is the average compression ratio of the transmission picture of the data transmission equipment in the quality monitoring period, which indicates the proportional relationship between the original data and the compressed data during the transmission process.

[0050] TOS Δ3c The transmission picture reference compression rate preset for the traffic management database, that is, the most suitable picture compression rate that the pre-specified data transmission equipment can continuously transmit pictures.

[0051] TOS 4c It is the maximum operating temperature of the data transmission equipment during the quality monitoring period, indicating the maximum surface temperature of the equipment during the operation of the data transmission equipment during this period.

[0052] TOS Δ4c The operating limit temperature preset for the traffic management database is the maximum allowable value of the surface temperature of the data transmission equipment under normal operating conditions.

[0053] NS 1w It is the minimum signal strength between the data transmission device and the traffic management cloud service center during the quality monitoring period, indicating the minimum effective signal strength that can be maintained between the data transmission device and the traffic management cloud service center during this period.

[0054] NS Δ1w The defined signal strength preset for the traffic management database, that is, the pre-specified minimum signal strength value between the data transmission device and the traffic management cloud service center under the condition of continuous data transmission.

[0055] NS 2w It is the maximum delay duration of data transmission between the data transmission device and the traffic management cloud service center during the quality monitoring period, indicating the maximum time required for data to be sent from the data transmission device to the traffic management cloud service center during this period.

[0056] NS Δ2w The data transmission delay time limit preset for the traffic management database is the maximum length of time that data can be delayed between the pre-specified data transmission device and the traffic management cloud service center under the condition of continuous data transmission.

[0057] NS 3w It is the minimum bandwidth of the data transmission network between the data transmission equipment and the traffic management cloud service center during the quality monitoring period, indicating the lowest data transmission rate that the network can provide during this period.

[0058] NS Δ3w The data transmission network bandwidth limit value preset for the traffic management database, that is, the minimum value of the network bandwidth for transmitting data between the pre-specified data transmission equipment and the traffic management cloud service center under the condition of continuous data transmission.

[0059] NS 4wIt is the number of data transmission network jitters between the data transmission equipment and the traffic management cloud service center during the quality monitoring period, indicating the number of network fluctuations during this period.

[0060] NS Δ4w The data transmission network jitter limit number preset for the traffic management database is the maximum number of times the network can jitter during data transmission between the pre-specified data transmission device and the traffic management cloud service center under the condition of continuous data transmission.

[0061] DQI is the data transmission quality interference index of the data transmission equipment of the smart lamp pole. In this example, before traffic management is carried out, inaccurate data transmission will lead to the subsequent execution of incorrect traffic management behaviors. Therefore, the accuracy of data transmission needs to be ensured first. Data transmission includes two aspects of transmission analysis, namely the performance of the data transmission equipment itself and the stability of data transmission between the data transmission equipment and the traffic management cloud service center. If the transmission picture of the data transmission equipment itself and the temperature during its operation are both within an unreasonable transmission range (i.e., the minimum frame rate of the transmission picture is less than the transmission picture frame rate limit value, the minimum resolution of the transmission picture is less than the transmission picture resolution limit value, and the average compression rate of the transmission picture is less than the transmission picture resolution limit value, the average compression rate of the transmission picture is less than the transmission picture frame rate ... The transmission picture reference compression rate is very different or the maximum operating temperature is much higher than the defined operating temperature), which will directly lead to a large data transmission network difference and unstable data transmission between the data transmission equipment and the traffic management cloud service center (the minimum signal strength is less than the defined signal strength, the maximum data transmission delay time is higher than the data transmission delay time definition value, the minimum data transmission network bandwidth is less than the data transmission network bandwidth definition value or the data transmission network jitter number is much higher than the data transmission network jitter definition number), which is not conducive to the subsequent traffic management cloud service center to process and analyze the transmission data of the data transmission equipment in a timely manner, and there is a possibility of data analysis lag, which is even more detrimental to real-time and effective management during traffic congestion.

[0062] In this example, if the maximum operating temperature of the data transmission device is much higher than the defined operating temperature, the transmitted image will be stuck or blurred, that is, the minimum resolution of the transmitted image is lower than the defined value of the resolution of the transmitted image, which is directly not conducive to the real-time update of the image by the data transmission device, and further causes the minimum frame rate of the transmitted image to be lower than the defined value of the frame rate of the transmitted image, that is, the data transmission device cannot perform accurate real-time image transmission, which will cause the compression rate of the data transmission device to vary greatly, that is, the average compression rate of the transmitted image often deviates from the reference compression rate of the transmitted image, which leads to a high possibility that the transmission information received by the traffic management cloud service center will be blurred or even have a black screen; this further illustrates the poor data transmission behavior between the data transmission device and the traffic management cloud service center, and the poor performance of the above-mentioned data transmission device itself will cause the data transmission device to emit a small If the data transmission signal strength is high, the signal strength between the data transmission device and the traffic management cloud service center will also decrease, or even be lower than the defined signal strength, which directly leads to the data transmission device taking more time to transmit the corresponding monitoring data. Therefore, data transmission delay will occur, that is, the maximum data transmission delay time is large, and if it is higher than the data transmission delay time definition value, there will be a lag in the transmission data, and the data transmission efficiency will also decrease, which will manifest as a low network bandwidth, and if it is lower than the data transmission network bandwidth definition value, it means that the data transmission process is not stable, further increasing the jitter of the data network, that is, there is a possibility that the data transmission network jitter times are much higher than the data transmission network jitter definition times, which is ultimately not conducive to the traffic management cloud service center receiving complete and accurate data sent by the data transmission equipment.

[0063] The road condition information extraction module is used to compare the data transmission quality interference index of the data transmission equipment belonging to the smart lamp pole with a preset data transmission quality interference reference value through the traffic management cloud service center, and at the same time receive the transmission information of the data transmission equipment belonging to the smart lamp pole. Based on the comparison result, the traffic management cloud service center extracts the road condition information of the control area to which the smart lamp pole belongs from the transmission information of the data transmission equipment belonging to the smart lamp pole.

[0064] It needs to be explained that the transmission information of the data transmission equipment belonging to the above-mentioned smart lamp poles is the various data monitored by the data transmission equipment belonging to the smart lamp poles, including the road condition information described in detail in this example, as well as the flatness, water accumulation, ice and other abnormal conditions of the road surface in the area covered by the smart lamp poles monitored by high-definition cameras, real-time meteorological information such as air pollutant concentration (such as PM2.5, CO2, NOx, etc.), temperature, humidity, wind speed, rainfall, etc. monitored by environmental sensors (such as temperature sensors, humidity sensors, etc.), as well as data such as the distance and relative position between vehicles measured by millimeter wave radar.

[0065] Specifically, the traffic management cloud service center extracts the road condition information of the control area of ​​the smart light pole from the transmission information of the data transmission device to which the smart light pole belongs. The specific process is as follows:

[0066] The data transmission quality interference index of the data transmission equipment to which the smart lamp pole belongs is compared with a preset data transmission quality interference reference value, that is, if the data transmission quality interference index of the data transmission equipment to which the smart lamp pole belongs is higher than or equal to the data transmission quality interference reference value preset in the traffic management database, it means that the data transmission quality of the data transmission equipment is significantly interfered with, which may cause data transmission delays, packet loss, jitter and other problems, wherein the data transmission quality interference reference value represents a pre-set standard for measuring the degree of interference that may occur during data transmission. The transmission information of the data transmission equipment to which the smart lamp pole belongs is pre-processed by the traffic management cloud service center, and the road condition information of the control area to which the smart light pole belongs is extracted from the pre-processed transmission information.

[0067] If the data transmission quality interference index of the data transmission equipment belonging to the smart lamp pole is lower than the data transmission quality interference reference value preset in the traffic management database, that is, the data transmission quality of the data transmission equipment is within the normal range, the data transmission capacity of the data transmission equipment is normal and can effectively support the needs of traffic management, then the traffic management cloud service center will directly extract the road condition information of the control area of ​​the smart lamp pole from the transmission information of the data transmission equipment belonging to the smart lamp pole.

[0068] Specifically, if the data transmission quality interference index of the data transmission equipment to which the smart lamp pole belongs is higher than or equal to a preset data transmission quality interference reference value, a network optimization connection operation can also be performed on the data transmission equipment, wherein the network optimization connection operation includes adjusting the position of the data transmission equipment or installing a signal amplifier.

[0069] It should be explained that the above-mentioned adjustment of the position of the data transmission equipment refers to changing the physical position of the data transmission equipment related to the smart lamp pole, which may include moving the data transmission equipment to a higher position, away from the interference source, or closer to the data receiving point; the above-mentioned installation of the signal amplifier is because the smart pole in this example is not equipped with a signal amplifier, where the function of the signal amplifier is to enhance or amplify the strength of the transmission signal to improve the coverage and quality of the signal; of course, in addition to adjusting the position of the data transmission equipment and installing the signal amplifier (this is the adjustment operation of this example), other network optimization connection operations also include selecting the most suitable communication protocol or adding backup lines according to the specific application scenario.

[0070] Furthermore, the transmission information of the data transmission device belonging to the smart lamp pole is preprocessed, and the specific preprocessing process includes data cleaning, image enhancement, video re-encoding and transmission optimization.

[0071] The specific process of the above preprocessing is as follows:

[0072] First, the multi-dimensional data received from the data transmission equipment of the smart lamp pole is checked for integrity to identify packet loss, empty value fields or errors in the transmission process; the verification mechanism is used to detect whether the data is duplicated or missing; for data such as speed, flow, vehicle type, etc., the preset threshold range is used for inspection, and unreasonable values ​​(such as too high or too low speed, vehicle classification error, etc.) are marked as abnormal, and corresponding processing is performed, such as filling, elimination or interpolation; since the data may come from multiple different sensors (such as high-definition cameras, millimeter-wave radars, environmental sensors, etc.), these data need to be aligned according to timestamps to ensure data synchronization and provide consistency analysis; after data cleaning, the cleaned high-quality data will be used for subsequent image and video processing steps to ensure the accuracy of the data source. Use image denoising algorithms, such as Gaussian filtering or bilateral filtering, to reduce image noise caused by reduced performance of transmission equipment or environmental factors; use techniques such as histogram equalization to enhance the contrast and brightness in the image, making vehicles and road markings in the image clearer; use super-resolution technology to increase the resolution of the image, compensate for the reduction in image resolution due to low-bandwidth transmission, and thus improve image details; the enhanced image can provide clearer visual information, ensuring accuracy and reliability in video processing and subsequent analysis. Use more efficient video encoding formats (such as H.265 / HEVC) to re-encode the video collected by the smart light pole device, reduce the amount of data and reduce bandwidth occupancy while ensuring video quality; dynamically adjust the frame rate and resolution of the video according to the real-time situation of the transmission bandwidth. When the bandwidth is low, the frame rate or resolution can be appropriately reduced to ensure the continuity of video transmission and avoid freezing and frame loss; increase the key frame frequency in the video stream so that when the network condition is poor, the entire video segment is lost or cannot be decoded due to data loss, ensuring that the road condition video at the critical moment can be fully transmitted; the re-encoded video stream will enter the transmission optimization stage to ensure that it can smoothly reach the traffic management cloud service center during the transmission process. Enable network congestion control mechanisms, such as adaptive rate adjustment of the transmission control protocol (TCP), dynamically adapt to the current network bandwidth, and avoid data transmission delays or packet loss caused by congestion; add redundant information to the data stream through forward error correction (FEC) technology to ensure that the complete video stream and data packet can still be reconstructed in the case of partial data packet loss, thereby improving the robustness of transmission; set high priority for important data (such as emergency road condition changes, accident detection, etc.) to ensure that these data can be transmitted first, reduce the delay or loss of key data, and ensure real-time performance; after the transmission optimization is completed, the processed data and video will be stably transmitted to the traffic management cloud service center to ensure subsequent analysis and decision support.

[0073] It needs to be explained that the verification mechanism, image denoising algorithm, histogram equalization and other technologies or algorithms mentioned in the above preprocessing process are all located within the traffic management cloud service center, that is, the multiple algorithms built into the traffic management cloud service center preprocess the transmission information of the data transmission equipment belonging to the smart lamp pole.

[0074] In a specific embodiment, the present invention monitors the data quality of the data transmission equipment belonging to the smart light pole, thereby extracting the data transmission related information of the data transmission equipment belonging to the smart light pole, so as to identify and evaluate the information level of the smart light pole combined with 5G-A, and obtains the data transmission quality interference index of the data transmission equipment belonging to the smart light pole by quantification, and compares it with the preset data transmission quality interference reference value, so that the traffic management cloud service center can understand the quality status of the transmission information of the data transmission equipment to determine whether to perform data preprocessing operations, and finally ensure that the extracted road condition information of the control area to which the smart light pole belongs is more accurate, so as to provide more accurate data basis for the subsequent evaluation of the road condition congestion index.

[0075] The traffic congestion assessment module is used to perform data analysis on the traffic information of the control area of ​​the smart lamp pole through the traffic management cloud service center, and assess the traffic congestion index of the control area of ​​the smart lamp pole.

[0076] Specifically, the traffic congestion index of the control area of ​​the smart lamp pole is evaluated, and the specific evaluation process is as follows:

[0077] The road condition information of the control area to which the smart lamp pole belongs specifically includes the vehicle traffic volume in the control area during the road condition monitoring period and the corresponding real-time driving speed of each passing vehicle.

[0078] It needs to be explained that the multiple data included in the above-mentioned road condition information are all data monitored in real time by the data transmission equipment belonging to the smart lamp pole, and the traffic management cloud service center receives this real-time monitoring data to obtain the road condition information.

[0079] Among them, the road condition monitoring period indicates the length of time for judging the congestion of the road conditions in the control area of ​​the smart lamp pole. The specific acquisition method can be obtained in real time from the counting platform built into the traffic management cloud service center.

[0080] The vehicle traffic volume in the control area during the road condition monitoring period is ratioed with the duration corresponding to the road condition monitoring period to obtain the average traffic volume in the control area during the road condition monitoring period, that is, the vehicle traffic volume divided by the duration corresponding to the road condition monitoring period.

[0081] Based on the vehicle traffic volume, average traffic volume and real-time driving speed of each passing vehicle in the control area during the road condition monitoring period, the road congestion index of the control area of ​​the smart light pole is obtained through data evaluation. The road congestion index of the control area of ​​the smart light pole is used to characterize the degree of congestion assessment of the road condition. The specific expression is as follows:

[0082]

[0083] In the formula, ξ1 is the weight factor corresponding to the traffic congestion index preset in the traffic management database. When in use, the weight factor corresponding to the traffic congestion index can be directly obtained from the traffic management database. The corresponding relationship can be a preset mapping relationship. For example, the vehicle traffic volume and the weight factor corresponding to the traffic congestion index preset in the traffic management database form a mapping set, and the real-time vehicle traffic volume mapping set is used to obtain the weight factor corresponding to the traffic congestion index. The mapping relationship can be one-to-one or many-to-one. In this example, its value range is [0, 1].

[0084] ξ2 is the influencing factor of the driving speed unit value preset in the traffic management database. When used, the influencing factor of the driving speed unit value can be directly obtained from the traffic management database, and the corresponding relationship can be a preset mapping relationship. For example, the driving speed and the influencing factor of the driving speed unit value preset in the traffic management database form a mapping set, and the real-time driving speed mapping set is used to obtain the influencing factor of the driving speed unit value. The mapping relationship can be one-to-one or many-to-one. In this example, its value range is [0, 1].

[0085] A 1j It is the vehicle traffic volume in the control area during the road condition monitoring period, indicating the number of vehicles passing through the control area of ​​the smart lamp pole during the road condition monitoring period.

[0086] A Δ1j The vehicle permitted traffic volume preset in the traffic management database indicates the maximum number of vehicles allowed to pass through the road section of the control area to which the smart lamp pole belongs.

[0087] A 2j It is the average traffic volume in the control area during the road condition monitoring period, which means the average number of vehicles passing through the control area during the road condition monitoring period.

[0088] A Δ2j The traffic flow limit value preset in the traffic management database indicates the maximum traffic flow allowed for the road section in the control area of ​​the pre-defined smart lamp pole.

[0089] L aIt is the real-time driving speed corresponding to the ath passing vehicle in the control area during the road condition monitoring period, indicating the actual driving speed of the passing vehicles on the road at a specific moment (that is, there are multiple moments in the road condition monitoring period, and only a specific moment is shown here).

[0090] a is the serial number of each passing vehicle, a=1, 2, 3, ..., z, and z is the total number of passing vehicles.

[0091] CCI is the traffic congestion index of the control area of ​​the smart light pole. In this example, when the vehicle traffic volume exceeds the permitted traffic volume, it means that the road is overloaded, which directly means that the current traffic flow level is higher than the predetermined normal traffic flow standard, further showing possible congestion. When congestion occurs, the vehicle speed will be slower, thereby increasing the risk of congestion, and is usually accompanied by a higher traffic congestion index. In summary, the above-mentioned vehicle traffic volume is greater than the permitted vehicle traffic volume, the average traffic flow is greater than the traffic flow limit value, or the corresponding real-time driving speed of each passing vehicle is smaller, the possibility of congestion in the control area of ​​the smart light pole will increase significantly. These factors work together to cause traffic congestion, affecting vehicle traffic efficiency and traffic safety.

[0092] In a specific embodiment, the present invention performs data analysis on the road condition information of the control area of ​​the smart lamp pole through the traffic management cloud service center, evaluates the road congestion index of the control area of ​​the smart lamp pole, compares it with the preset road congestion threshold, and effectively controls the traffic. In the case of traffic congestion, the intelligent lighting adjustment function and automatic reminder function of the smart lamp pole are utilized. On the one hand, energy-saving and emission-reduction traffic management can be achieved, and at the same time, traffic congestion can be efficiently alleviated, potential accident risks can be effectively avoided, and the incidence of traffic accidents can be reduced.

[0093] The traffic management control module is used to determine the control execution result of the reminder device of the smart lamp pole based on the traffic congestion index of the control area to which the smart lamp pole belongs, and the traffic management cloud service center performs automatic reminder control.

[0094] Furthermore, the traffic management cloud service center determines the control execution result of the reminder device of the smart lamp pole and performs automatic reminder control. The specific process is:

[0095] Based on the traffic congestion index of the control area to which the smart light pole belongs, it is compared with the traffic congestion threshold preset in the traffic management database. If the traffic congestion index of the control area to which the smart light pole belongs is higher than or equal to the traffic congestion threshold, it means that the traffic flow in the area has reached or exceeded the limit of normal traffic, and serious traffic congestion may occur. The traffic congestion threshold is a preset value, which is usually set based on historical traffic flow, road capacity, vehicle speed and other factors. It is used as a congestion judgment standard to judge whether the traffic conditions in the control area are normal or abnormal. The control area to which the smart light pole belongs is recorded as a pre-control area, which means that the area is identified as an area that requires special attention and management. There may be a possibility of traffic congestion, but whether there is traffic congestion or not needs to be further determined in combination with the following environmental information; for example, road congestion does occur at a certain moment in this time period (that is, the road congestion index is higher than or equal to the road congestion threshold), but there will be a phenomenon of non-congestion on the road at the next moment (instantaneous congestion caused by accidents, construction, etc.), so it is also necessary to combine the environmental information under this period to further determine whether the road in this period is actually congested.

[0096] If the traffic congestion index of the control area of ​​the smart lamp pole is lower than the traffic congestion threshold, it means that the traffic flow in the area is at a normal level, the traffic runs smoothly, the vehicle speed is fast, and there is no obvious congestion.

[0097] The traffic management cloud service center obtains the environmental information of the pre-control area, and analyzes the traffic reminder demand index of the pre-control area in combination with the road congestion index of the control area to which the smart lamp pole belongs, and verifies it with the traffic reminder demand threshold preset in the traffic management database, where the traffic reminder demand threshold is a quantitative standard used to determine whether traffic reminder information needs to be executed in the pre-control area. It usually reflects the expected conditions in terms of traffic safety, flow control and congestion level. The above verification results are divided into two situations, namely, the traffic reminder demand index of the pre-control area is higher than or equal to the traffic reminder demand threshold, and the traffic reminder demand index of the pre-control area is lower than the traffic reminder demand threshold. The above two situations are both used as the control execution results of the reminder device of the smart lamp pole. If the reminder device If the control execution result is that reminder is required, and the corresponding verification result is that the traffic reminder demand index of the pre-control area is higher than or equal to the traffic reminder demand threshold, it means that the current traffic conditions in the area have reached the level where active management or traffic reminders need to be issued, then the smart light pole will automatically perform reminder control. The specific automatic reminder control process is that the smart light pole receives the automatic reminder instruction issued by the traffic management cloud service center, and the display screen and broadcast on the smart light pole provide the driver with road condition information and detour suggestions in a timely manner to guide vehicle diversion. Providing road condition information and detour suggestions to the driver is a reminder strategy that the traffic management cloud service center automatically matches according to the difference between the traffic reminder demand index of the pre-control area and the traffic reminder demand threshold. The specific process is not described in detail here.

[0098] If the reminder device control execution result is that no reminder is required, the corresponding verification result is that the traffic reminder demand index of the pre-control area is lower than the traffic reminder demand threshold, indicating that the current traffic conditions in the area are good and have not reached the level where active management or traffic reminders need to be taken. In this case, the smart lamp pole does not need to perform automatic reminder control.

[0099] Specifically, the traffic reminder demand index of the pre-controlled area is verified with the preset traffic reminder demand threshold, and the lighting device control execution result of the smart lamp pole can also be determined. If the lighting device control execution result is that lighting control is required, and the corresponding verification result is that the traffic reminder demand index of the pre-controlled area is higher than or equal to the traffic reminder demand threshold, the smart lamp pole performs automatic lighting control. The specific lighting control process is as follows:

[0100] Based on the traffic reminder demand index of the pre-controlled area, the first reference lighting brightness of the lighting device of the smart lamp pole is matched. The specific matching process is as follows:

[0101] Each traffic reminder demand index interval corresponds to the first reference lighting brightness. The traffic reminder demand index interval of the pre-control area is queried, and the first reference lighting brightness corresponding to the traffic reminder demand index interval is the first reference lighting brightness of the lighting device of the smart lamp pole; the above-mentioned traffic reminder demand index intervals correspond to the first reference lighting brightness, and the corresponding values ​​and rules are formulated by the traffic management cloud service center, and no special explanation is given here.

[0102] At the same time, the actual average ambient brightness of the pre-controlled area in the current control period is obtained, and the second reference lighting brightness of the lighting device of the smart lamp pole is matched. The specific matching process is similar to the matching process of the first reference lighting brightness mentioned above, and no detailed explanation is given here.

[0103] The first reference lighting brightness of the lighting device of the smart lamp pole and the second reference lighting brightness of the lighting device of the smart lamp pole are averaged to obtain the actual required brightness of the lighting device of the smart lamp pole, and the actual lighting brightness of the lighting device of the smart lamp pole is obtained at the same time. The acquisition method is that the traffic management cloud service center communicates with the lighting device of the smart lamp pole, so that the traffic management cloud service center can directly extract the current actual lighting brightness of the lighting device of the smart lamp pole, and perform difference processing with the actual required brightness of the lighting device of the smart lamp pole to obtain the actual adjusted brightness of the lighting device of the smart lamp pole, which is the brightness that needs to be adjusted for the lighting device, that is, the traffic management cloud service center issues a brightness adjustment instruction and a brightness adjustment numerical instruction, so that the smart lamp pole performs automatic lighting control.

[0104] Furthermore, the traffic reminder demand index of the pre-controlled area is analyzed, and the specific analysis process is as follows:

[0105] The environmental information of the pre-control area specifically includes the total precipitation, minimum visibility and maximum wind speed in the pre-control area during the road condition monitoring period. Specifically, real-time data can be collected by using a meteorological monitoring station in the pre-control area. This meteorological monitoring station can provide accurate precipitation, visibility and wind speed information, and the traffic management cloud service center is connected to the meteorological monitoring station in real time. Then, the traffic management cloud service center can obtain the total precipitation, minimum visibility and maximum wind speed in the pre-control area during the road condition monitoring period.

[0106] Based on the traffic congestion index of the control area of ​​the smart light pole, the total precipitation in the pre-control area during the road condition monitoring period, the minimum visibility and the maximum wind speed, the traffic reminder demand index of the pre-control area is comprehensively analyzed and expressed as:

[0107]

[0108] In the formula, H 1kIt is the total amount of precipitation in the pre-control area during the road condition monitoring period, indicating the cumulative amount of precipitation in the pre-control area during the road condition monitoring period.

[0109] H Δ1k The precipitation allowance preset in the traffic management database indicates the maximum allowable precipitation in this pre-controlled area.

[0110] H 2k It is the minimum visibility in the pre-control area during the road condition monitoring period, indicating the lowest visibility level during the road condition monitoring period, and refers to the farthest distance at which visible objects can be seen under current weather conditions.

[0111] H Δ2k The defined visibility preset in the traffic management database indicates the preset minimum visibility allowed for vehicles to travel within this pre-controlled area.

[0112] H 3k It is the maximum wind speed in the pre-control area during the road condition monitoring period, indicating the maximum wind speed recorded during the road condition monitoring period.

[0113] H Δ3k The wind speed limit value preset in the traffic management database indicates the maximum wind speed allowed by the preset regulations in this pre-control area.

[0114] CCI is the traffic congestion index of the control area of ​​the smart lamp pole. It represents the value obtained by comprehensive analysis of the vehicle traffic volume, average traffic flow and the corresponding real-time driving speed of each passing vehicle in the control area during the traffic monitoring period.

[0115] β is the correction factor corresponding to the traffic congestion index preset in the traffic management database. When used, the correction factor corresponding to the traffic congestion index can be directly obtained from the traffic management database. The corresponding relationship can be a preset mapping relationship. For example, the corresponding driving speed of the vehicle and the corresponding correction factor of the traffic congestion index preset in the traffic management database form a mapping set. The real-time vehicle corresponding driving speed mapping set is used to obtain the corresponding correction factor of the traffic congestion index. The mapping relationship can be one-to-one or many-to-one. In this example, its value range is [0, 1].

[0116] e is a natural constant.

[0117] TCI is the traffic reminder demand index of the pre-control area. In this example, when the precipitation exceeds the permitted amount, it may cause the road surface to be slippery or waterlogged, and it is not conducive to clearly seeing the traffic information under precipitation conditions, which is manifested in the low minimum visibility of the environment. If it is less than the defined visibility, the driving conditions will be poor, resulting in the inability of the vehicle to drive smoothly. Moreover, if the maximum wind speed is higher than the wind speed limit, the possibility of traffic accidents will be further increased, which will lead to the possibility of traffic congestion, that is, the road congestion index will increase, and timely traffic evacuation reminders will be needed, which will eventually increase the traffic reminder demand index of this expression. In summary, the simultaneous occurrence of precipitation, low visibility and strong winds will greatly affect driving safety and traffic efficiency. The deterioration of weather conditions will usually lead to an increase in traffic accidents, emergency braking and deceleration, thereby increasing congestion. The combined effect of these three factors not only increases the risk of traffic accidents, but may also lead to poor traffic flow, further increasing traffic congestion, and it is even more necessary to manage traffic congestion, that is, the reminder demand will increase.

[0118] The traffic management database is used to store all the above-mentioned preset values, including various factors, etc., and detailed storage instructions are not given here.

[0119] In a specific embodiment, the present invention provides a 5G-A technology smart lamp pole system for traffic management. First, data quality monitoring is performed on the data transmission equipment to which the smart lamp pole belongs, and the data transmission quality interference index of the data transmission equipment to which the smart lamp pole belongs is determined. The quality of data transmission corresponding to the integrated traffic management platform of the smart lamp pole combined with 5G-A is thereby obtained, so that the traffic management cloud service center determines whether to perform data preprocessing, so as to accurately extract and analyze the road condition information of the control area to which the smart lamp pole belongs, accurately evaluate the road congestion index of the control area to which the smart lamp pole belongs, and compare it with the preset road congestion threshold. By combining the smart lamp pole with 5G-A intelligent traffic control, the traffic congestion prediction, management and control of the smart lamp pole are completed, which can ultimately reduce traffic congestion and improve road traffic efficiency.

[0120] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field 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 structure of the invention or exceed the scope defined by the present invention, they should all fall within the protection scope of the present invention.

Claims

1. A 5G-A technology smart lamp pole system for traffic management, characterized in that: include: A data quality determination module is used to monitor the data quality of the data transmission equipment of the smart light pole, thereby extracting the data transmission related information of the data transmission equipment of the smart light pole, and determining the data transmission quality interference index of the data transmission equipment of the smart light pole; The traffic condition information extraction module is used to compare the data transmission quality interference index of the data transmission device belonging to the smart light pole with the preset data transmission quality interference reference value through the traffic management cloud service center, and receive the transmission information of the data transmission device belonging to the smart light pole at the same time. Based on the comparison result, the traffic management cloud service center extracts the traffic condition information of the control area of ​​the smart light pole from the transmission information of the data transmission device belonging to the smart light pole; The traffic congestion assessment module is used to analyze the traffic information of the control area of ​​the smart light pole through the traffic management cloud service center, and evaluate the traffic congestion index of the control area of ​​the smart light pole; The traffic management control module is used to determine the control execution result of the reminder device of the smart lamp pole based on the traffic congestion index of the control area to which the smart lamp pole belongs, and perform automatic reminder control.

2. According to claim 1, a 5G-A technology smart lamp pole system for traffic management is characterized by: The data transmission related information of the data transmission device to which the smart lamp pole belongs, specifically including the performance information of the data transmission device and the network transmission information between the data transmission device and the traffic management cloud service center; The performance information of the data transmission device specifically includes the minimum frame rate of the transmission picture, the minimum resolution of the transmission picture, the average compression rate of the transmission picture, and the maximum operating temperature of the data transmission device during the quality monitoring period; The network transmission information between the data transmission equipment and the traffic management cloud service center specifically includes the minimum signal strength between the data transmission equipment and the traffic management cloud service center during the quality monitoring period, the maximum data transmission delay time, the minimum bandwidth of the data transmission network, and the number of data transmission network jitters.

3. According to claim 2, a 5G-A technology smart lamp pole system for traffic management is characterized by: The data transmission quality interference index of the data transmission equipment to which the smart lamp pole belongs is specifically determined based on the minimum frame rate of the transmission picture, the minimum resolution of the transmission picture, the average compression rate of the transmission picture, the maximum operating temperature of the data transmission equipment during the quality monitoring period, and the minimum signal strength between the data transmission equipment and the traffic management cloud service center during the quality monitoring period, the maximum data transmission delay, the minimum bandwidth of the data transmission network, and the number of data transmission network jitters. The data transmission quality interference index of the data transmission equipment to which the smart lamp pole belongs is used to characterize the degree of quality judgment of data transmission of the data transmission equipment.

4. According to claim 1, a 5G-A technology smart lamp pole system for traffic management is characterized by: The traffic management cloud service center extracts the road condition information of the control area of ​​the smart light pole from the transmission information of the data transmission device to which the smart light pole belongs. The specific process is as follows: The data transmission quality interference index of the data transmission device to which the smart light pole belongs is compared with a preset data transmission quality interference reference value, that is, if the data transmission quality interference index of the data transmission device to which the smart light pole belongs is higher than or equal to the preset data transmission quality interference reference value, the transmission information of the data transmission device to which the smart light pole belongs is preprocessed by the traffic management cloud service center, and the road condition information of the control area to which the smart light pole belongs is extracted from the preprocessed transmission information; If the data transmission quality interference index of the data transmission device belonging to the smart lamp pole is lower than the preset data transmission quality interference reference value, the traffic management cloud service center directly extracts the road condition information of the control area of ​​the smart lamp pole from the transmission information of the data transmission device belonging to the smart lamp pole.

5. According to claim 4, a 5G-A technology smart lamp pole system for traffic management is characterized by: If the data transmission quality interference index of the data transmission equipment to which the smart lamp pole belongs is higher than or equal to the preset data transmission quality interference reference value, the data transmission equipment can also be subjected to a network optimization connection operation, wherein the network optimization connection operation includes adjusting the position of the data transmission equipment or installing a signal amplifier.

6. According to claim 4, a 5G-A technology smart lamp pole system for traffic management is characterized by: The transmission information of the data transmission device of the smart lamp pole is preprocessed, and the specific preprocessing process includes data cleaning, image enhancement, video recoding and transmission optimization.

7. According to claim 1, a 5G-A technology smart lamp pole system for traffic management is characterized by: The specific evaluation process of evaluating the traffic congestion index of the control area of ​​the smart lamp pole is as follows: The traffic information of the control area of ​​the smart lamp pole includes the traffic volume of the control area during the traffic monitoring period and the real-time driving speed of each passing vehicle; The vehicle traffic volume in the control area during the road condition monitoring period is processed by ratio with the duration corresponding to the road condition monitoring period to obtain the average vehicle flow in the control area during the road condition monitoring period; Based on the vehicle traffic volume, average traffic flow and the corresponding real-time driving speed of each passing vehicle in the control area during the road condition monitoring period, the road congestion index of the control area to which the smart lamp pole belongs is obtained through data evaluation.

8. According to claim 1, a 5G-A technology smart lamp pole system for traffic management is characterized by: The traffic management cloud service center determines the control execution result of the reminder device of the smart lamp pole and performs automatic reminder control. The specific process is as follows: Based on the traffic congestion index of the control area to which the smart light pole belongs, it is compared with the preset traffic congestion threshold. If the traffic congestion index of the control area to which the smart light pole belongs is higher than or equal to the traffic congestion threshold, the control area to which the smart light pole belongs is recorded as a pre-control area; The traffic management cloud service center obtains the environmental information of the pre-control area, and combines the road congestion index of the control area to which the smart lamp pole belongs to analyze the traffic reminder demand index of the pre-control area, verifies it with the preset traffic reminder demand threshold, and determines the execution result of the reminder device control of the smart lamp pole. If the reminder device control execution result is that reminder is required, the smart lamp pole will perform automatic reminder control. If the reminder device control execution result is that no reminder is required, the smart lamp pole does not need to perform automatic reminder control.

9. A 5G-A technology smart lamp pole system for traffic management according to claim 8, characterized in that: The traffic reminder demand index of the pre-controlled area is verified with the preset traffic reminder demand threshold, and the lighting device control execution result of the smart lamp pole can also be determined. If the lighting device control execution result is that lighting control is required, the smart lamp pole performs automatic lighting control. The specific lighting control process is as follows: Based on the traffic reminder demand index of the pre-controlled area, the first reference lighting brightness of the lighting device of the smart lamp pole is matched, and the actual average brightness of the environment in the pre-controlled area during the current control period is obtained, and the second reference lighting brightness of the lighting device of the smart lamp pole is matched; The first reference lighting brightness of the lighting device of the smart lamp pole and the second reference lighting brightness of the lighting device of the smart lamp pole are averaged to obtain the actual required brightness of the lighting device of the smart lamp pole. At the same time, the actual lighting brightness of the lighting device of the smart lamp pole is obtained and difference processing is performed with the actual required brightness of the lighting device of the smart lamp pole to obtain the actual adjusted brightness of the lighting device of the smart lamp pole, so that the smart lamp pole performs automatic lighting control.

10. According to claim 8, a 5G-A technology smart lamp pole system for traffic management is characterized by: The traffic reminder demand index of the pre-controlled area is analyzed, and the specific analysis process is as follows: The environmental information of the pre-control area specifically includes the total precipitation, minimum visibility and maximum wind speed in the pre-control area during the road condition monitoring period; Based on the traffic congestion index of the control area of ​​the smart light pole, the traffic reminder demand index of the pre-control area is comprehensively analyzed, and the expression is: Where TCI is the traffic reminder demand index of the pre-control area, H 1k is the total precipitation in the pre-control area during the road condition monitoring period, H Δ1k is the preset precipitation allowance, H 2k is the minimum visibility of the pre-control area during the road condition monitoring period, H Δ2k is the preset defined visibility, H 3k is the maximum wind speed in the pre-control area during the road condition monitoring period, H Δ3k is the preset wind speed limit value, CCI is the traffic congestion index of the control area of ​​the smart lamp pole, β is the weight factor corresponding to the preset traffic congestion index, and e is a natural constant.

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