Intelligent traffic management and control system based on intelligent lamp pole

Abstract

The invention discloses an intelligent traffic management and control system based on an intelligent lamp post. An application system comprises a street lamp system, a power supply system, an environment system, a security and protection system, a traffic system, a network system and an audio and video system. The base layer comprises a lighting street lamp, and the lighting street lamp is further provided with a camera, a playing assembly, a sensor, a power supply device, a positioner, a miniature base station and an alarm; the communication layer comprises a wireless network, a wired network, a firewall, a security gateway, a public WIFI, a government affair network, a data upload and a data download; the platform layer comprises data analysis, equipment access, big data, a storage module, data encryption, authority management, artificial intelligence and edge calculation; according to the invention, congestion prediction is carried out on the intersection through artificial intelligence and edge calculation, the basic layer serves the citizens, the serviceability of the citizens is improved, a government affair network exclusive network channel facilitates one-key alarm, and the alarm efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of traffic control, and in particular to an intelligent traffic control system based on smart lamp poles. Background Art

[0002] Urban public lighting is evenly and widely distributed. As an important public infrastructure, it is the best carrier for promoting the construction of smart cities and deploying 5G base stations.

[0003] Smart lamp poles are a new type of information infrastructure that integrates lighting, video surveillance, traffic management, environmental monitoring, communications and other functions. They are composed of infrastructure and poles, lighting facilities, transportation, video surveillance and other pole-borne facilities. They are an important carrier for building a new type of smart city.

[0004] The smart lamp pole solution adopts a composite street light pole. In addition to LED lighting, it also integrates video surveillance, multimedia LED information screen, public broadcasting, visual one-button alarm, PM2.5 and noise and other environmental monitoring functions; each part is integrated in a modular way and can be flexibly selected according to different needs; each function is highly integrated, supporting remote control and multi-dimensional data analysis and decision-making, which greatly reduces construction and operation and maintenance costs, promotes energy conservation and emission reduction, and helps the development of smart cities.

[0005] Intelligent traffic control is a PaaS cloud service that includes data collection platform, data analysis platform, data modeling platform and decision-making platform. It builds a database by processing the correlation of data information collected by many sensors in urban traffic scenes, models problems such as signal light control and traffic flow induction by machine learning, and outputs the best solution by linking signal light control system and mobile map software. In recent years, problems such as traffic congestion and frequent accidents have become prominent. Simply increasing infrastructure construction and applying traditional management methods can no longer meet the needs. Intelligent urban traffic solutions driven by new generation information technologies such as AI, Internet of Things, and big data are highly anticipated. The established city brain / traffic brain has shown initial results in applications such as traffic light control, traffic flow control, and peak warning.

[0006] In the Chinese invention patent intelligent traffic control system with application publication number CN107146427A, a control system and traffic lights, cameras and vehicle flow detectors are provided at intersections prone to congestion. A voice playback module, an electronic display screen and an electronic slow-down warning sign are provided next to the oncoming lane of the previous intersection of the congested intersection. The control system is electrically connected to the traffic lights, cameras and vehicle flow detectors on the one hand, and to the voice playback module, electronic display screen and electronic slow-down warning sign on the other hand. The control system is connected to a timing module.

[0007] In the technical solution recorded in the above application, the changing time of the traffic lights at the intersection can be controlled according to the actual traffic flow conditions, thereby achieving the purpose of effectively controlling the passage of vehicles. At the same time, subsequent vehicles can prepare for slowing down and detours in advance, ensuring driving safety and avoiding further aggravation of congestion. The changing time of traffic lights can be conveniently and flexibly controlled according to different time periods. However, in combination with the existing technology and the above application, for intelligent traffic control, only the changing time of traffic lights can be adjusted, and vehicles can be diverted, but it is not possible to detect and calculate specific pedestrian and vehicle flows, and it is impossible to realize edge computing, improve computing power and efficiency, and has single functionality.

[0008] To this end, the present invention provides an intelligent traffic control system based on smart lamp poles. Summary of the invention

[0009] 1. Technical issues to be resolved

[0010] In view of the shortcomings of the prior art, the present invention provides an intelligent traffic control system based on smart lamp poles, which realizes the collection of pedestrian and vehicle flow data information at intersections through the basic layer, and can also collect environmental data, which is convenient for improving citizens and has high humanization and service. The collected data information is transmitted through the communication layer to improve the security of data transmission, and can improve the network and service quality for citizens. After the data information is transmitted, it is received and calculated and processed through the platform layer, which is convenient for obtaining pedestrian and vehicle flow data information, and through edge computing, the system's computing pressure is reduced, and the data computing efficiency is improved, thereby solving the technical problems recorded in the background technology.

[0011] (II) Technical solution

[0012] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0013] An intelligent traffic control system based on smart lamp poles, comprising:

[0014] Application system, the application system includes a street light system, which is used for lighting and controlling lighting time and brightness; a power supply system, which is used to power the smart light poles and discharge electricity outside the smart light poles for emergency use by citizens; an environmental system, which is used to monitor the environment and obtain various data information, including wind speed, noise, PM2.5, temperature and humidity, and obtain weather conditions through data information from the meteorological station; a security system, which is used for citizens to make one-click alarm calls in emergency situations, including ambulance calls, fire calls, police calls and traffic calls; a traffic system, which is used to assist in traffic control, collect information on pedestrian and vehicle traffic at intersections, and is used for citizen navigation; a network system, which is used to provide network access, facilitate the upload and download of data information, and provide public WIFI for citizens; an audio and video system, which is used to decode and play public service advertisements, play data information and citizen query information, and realize video calls when making one-click alarm calls;

[0015] The basic layer is used for the installation of basic equipment to detect and obtain various data information. The basic layer includes lighting street lamps, and the lighting street lamps are also equipped with cameras, playback components, sensors, power supply equipment, locators, micro base stations and alarms. The cameras are used to shoot the intersection conditions, which is convenient for shooting the flow of people, vehicles, illegal pedestrians and illegal vehicles. The playback components are used to play audio and video. The power supply equipment is used to power all equipment and to supply power to the outside. The locator is used by citizens to locate their own positions and realize navigation. The micro base station is used to improve communication capabilities. The alarm is used by citizens to make one-click alarms;

[0016] A communication layer, which is used for the security and uploading and downloading of data information. The communication layer includes a wireless network and a wired network, which are used to realize communication transmission, and includes a firewall and a security gateway, which are used to improve the security of the network environment of the wireless network and the wired network, including public WIFI, which is used to provide free WIFI network to citizens, including a government network, which is used to communicate with government agencies to facilitate the alarm to perform one-click alarm, emergency rescue, fire rescue, police rescue and traffic rescue, including data uploading and data downloading, which are used to upload data information of the basic layer and realize the download of data information of the application system;

[0017] The platform layer is used to manage the system and perform computational processing on data information. The platform layer includes data analysis for processing data information, device access for managing device information and the connection between external devices, big data for realizing communication connection between all smart street lights in the area, establishing a shared database, and sharing data information, a storage module for storing data information, data encryption for encrypting and decrypting data information during transmission to improve data security, permission management for managing and identifying back-end permissions and maintenance management permissions, artificial intelligence and edge computing for computing and processing data information, and the use of edge computing to reduce the computing pressure of the system and improve computing power.

[0018] Furthermore, the camera includes a spherical camera for panoramic shooting, and a night vision camera for vehicle and pedestrian violations. The spherical camera is used to shoot the situation at the intersection, and the night vision camera is used to shoot vehicle and pedestrian violations, and can obtain license plate information and play it through the playback component. The playback component includes a display and a buzzer. The locator is used to query the current position with one click and perform address navigation.

[0019] The alarm includes a sound microphone and a video camera, which are used for communication connection when a one-key alarm is performed, and the locator is used to upload the location information when a one-key alarm is performed.

[0020] Furthermore, the sensors include a noise sensor for monitoring noise, a temperature sensor for monitoring temperature, a humidity sensor for monitoring humidity, an air pollution sensor for monitoring PM2.5, a wind speed sensor for monitoring wind speed, and a light sensor for detecting ambient light intensity;

[0021] The power supply equipment is used to power the system through the municipal power grid, and to step down, rectify, filter and stabilize the municipal power grid, as well as to supply power to the outside, including a wireless charging panel, an emergency charging socket, an electric bicycle charging socket and a computer charging socket.

[0022] Furthermore, the data analysis includes a data receiving module, a data conversion module, a data filtering module, a data cleaning module and a data gain module. The data receiving module is used to receive the data information collected by the base layer through the communication layer, or to receive external data information. The data conversion module is used to perform analog-to-digital conversion on the data information. The data gain module is used to amplify the data information. The data filtering module is used to filter out noise in the data information. The data cleaning module is used to eliminate abnormal data information in the data information.

[0023] Furthermore, the data filtering module adopts a mean filter, and the calculation formula of the mean filter is as follows:

[0024]

[0025] in, Represents the output data set after mean filtering, m represents the size of the window, v(n) j Represents the jth data information in the input data set;

[0026] The mean filter specifies a window with an odd length, uses the average value of all data in the window to replace the value in the middle, and then translates the window with a step size of 1. Repeat the above operation until it slides to the end of the time series data.

[0027] The algorithm used by the data cleaning module is a linear regression algorithm. In the linear regression algorithm, the data information is assumed to be Y and X, and X is the input value of each data, and the dependency relationship between Y and X is expressed as:

[0028] Y i =α+βX i +ε i ;

[0029] Among them, α and β are constants, ε i The random disturbance term is a random variable that cannot be directly observed. i represents the number of items of the i-th data information. α and β are collectively referred to as the parameters of the overall regression equation. α is the constant term of the overall regression equation and the intercept of the overall regression line on the Y-axis. β is the overall regression coefficient and also the slope of the overall regression line. The data information far away from the regression line is listed as abnormal data through the linear regression algorithm, and the abnormal data is eliminated.

[0030] Furthermore, the data encryption is used to encrypt the data information to be transmitted and to decrypt the downloaded data information;

[0031] The data encryption adopts a hash function;

[0032] The calculation formula of the hash function is as follows: address = H[key];

[0033] The hash conflict resolution algorithm of the hash function includes a linear probing method and a quadratic probing method;

[0034] Linear Probing

[0035] hi=(h(key)+i)%m, 0≤i≤m-1;

[0036] That is, the search starts from address d, first searches T[d], then searches T[d+1], ..., until T[m-1], and then loops to T[0], T[1], ..., until a free address is found or T[d-1] is reached;

[0037] Secondary Probing

[0038] hi=(h(key)+i*i)%m, 0≤i≤m-1;

[0039] That is, the search starts from address d, first searching T[d], then searching T[d+1^2], T[d+2^2], T[d+3^2], ..., etc., until a free address is found or T[d-1] is reached.

[0040] Furthermore, the authority management is used to identify the identity, and the authority management includes back-end login, maintenance personnel login and regional smart lamp pole data access, the back-end login uses a user name and password to log in and confirm, the maintenance personnel log in using an RFID identification card to log in, and enter the back-end operation interface of the smart lamp pole to operate and maintain;

[0041] Regional smart light pole data access uses signature verification for access;

[0042] Signature Algorithm:

[0043] A encodes the file m to be signed (including the recipient, content, signer, date, etc.) and maps it into h(m);

[0044] Calculation, the calculation formula is as follows:

[0045] c1≡(h(m)) d modp,c2≡(h(m)) d modq

[0046] S A (m)≡(c1q (1) q+c2p (1) p)modn

[0047] S307, {m,S A (m)} sent to the document recipient B or the arbitrator T;

[0048] Verification algorithm:

[0049] B (or T) test:

[0050] (S A (m)) e ≡h(m)modn.

[0051] Furthermore, the artificial intelligence adopts an AI intelligent algorithm to count the flow of people and vehicles on the images captured by the camera. The neural network of the AI ​​intelligent algorithm is determined by inputting neuron information and the corresponding weight matrix W. T X t , X is a vector, W is a weight matrix, and W is used to transform X into another vector;

[0052] The information transmitted from the hidden layer neurons at the previous moment to the neurons at the current moment has a value of S t-1 And the corresponding weight matrix U is determined, U T S t-1 , S t-1 is a vector, U is a weight matrix, and S is transformed by U t-1 Convert to another vector;

[0053] Mainly the neuron h at the current moment t , integrate the inputs of the above two parts, activate and generate the output of the hidden layer neurons at the current moment, and the integration process is vector addition: W T X t +U T S t-1 ;

[0054] Assuming the activation function is f, the value of the neuron at the current moment is generated after activation: S t =f(W T X t +U T S t-1 ), which is the total volume of pedestrian and vehicle traffic;

[0055] Information transfer mainly transfers the value of the hidden layer neuron at the current moment to the output neuron at the current moment:

[0056] O t =g(V T S t );

[0057] The forward formula is as follows:

[0058] S t =f(W T X t +U T S t-1 ),O t =g(V T S t )=g(V T f(W T X t +U T S t-1 ));

[0059] In the entire neural network, there are three weight matrices. The first matrix is ​​W. The dimension of the matrix is ​​(N, K), where N represents the vector dimension of the hidden layer neuron values ​​and K represents the dimension of the vector of the input neural unit. The second weight matrix is ​​V. The dimension of the matrix is ​​(L, N), where P represents the vector dimension of the neurons in the output layer. The third is the weight matrix U, which has a dimension of (N, N).

[0060] Furthermore, the edge computing uses a recurrent neural network to combine the original sequence with the RNN prediction information, which includes the idea of ​​information fusion. The original sequence reflects the amount of pedestrian and vehicle traffic, and the RNN prediction sequence reflects whether the pedestrian and vehicle traffic will cause congestion at the intersection.

[0061] The calculation formula of the recurrent neural network is as follows:

[0062] O t =g(V·S t )

[0063] S t =f(U·X t +W·S t-1 );

[0064] Where: U is the parameter matrix from the input layer to the hidden layer, S is the vector of the hidden layer, V is the parameter matrix from the hidden layer to the output layer, O t represents the output at time t, i.e., the possibility of congestion at the next intersection, S t Represents the value of the hidden layer at time t, W is actually the weight matrix between each time point, X is a vector, g is the output layer activation function, and f is the hidden layer activation function.

[0065] Furthermore, the government network is used as a dedicated network for the alarm to perform one-click alarm, thereby improving the smoothness and security of the network channel and preventing network congestion after the one-click alarm, resulting in the inability to connect to the security system.

[0066] (III) Beneficial effects

[0067] The present invention provides an intelligent traffic control system based on smart lamp poles, which has the following beneficial effects:

[0068] The present invention realizes data collection of the intersection environment through the basic layer, especially shoots videos of pedestrian and vehicle flows at the intersection, and then transmits the data information to the platform layer through the communication layer, so that the artificial intelligence in the platform layer can calculate and process the number of pedestrian and vehicle flows, obtain the pedestrian and vehicle flows, and calculate the pedestrian and vehicle flows through edge computing, predict whether the intersection will cause congestion, and facilitate the processing of congestion at the intersection. The edge computing can effectively improve the computing efficiency and reduce the operating pressure of the system.

[0069] In addition, the basic layer is equipped with lighting street lamps, playback components, sensors, power supply equipment, locators, micro base stations and alarms to facilitate the service to citizens. The basic layer communicates through the communication layer and the platform layer to facilitate data analysis and encryption of data information that needs to be transmitted to improve the security of data transmission. The smart lamp poles have various functions, which can effectively improve the service to citizens. The smart lamp poles have various functions to improve the comfort of citizens, and the government network realizes exclusive network channels, which is convenient for one-click alarms, improves the efficiency of alarms, and prevents network channel blockages. BRIEF DESCRIPTION OF THE DRAWINGS

[0070] Figure 1 It is a structural schematic diagram of the intelligent traffic control system based on smart lamp poles of the present invention. DETAILED DESCRIPTION

[0071] 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.

[0072] See also Figure 1 The present invention provides an intelligent traffic control system based on a smart lamp pole, comprising:

[0073] Application system, the application system includes a street light system, which is used for lighting and controlling lighting time and brightness; a power supply system, which is used to power the smart light poles and discharge electricity outside the smart light poles for emergency use by citizens; an environmental system, which is used to monitor the environment and obtain various data information, including wind speed, noise, PM2.5, temperature and humidity, and obtain weather conditions through data information from the meteorological station; a security system, which is used for citizens to make one-click alarm calls in emergency situations, including ambulance calls, fire calls, police calls and traffic calls; a traffic system, which is used to assist in traffic control, collect information on pedestrian and vehicle traffic at intersections, and is used for citizen navigation; a network system, which is used to provide network access, facilitate the upload and download of data information, and provide public WIFI for citizens; an audio and video system, which is used to decode and play public service advertisements, play data information and citizen query information, and realize video calls when making one-click alarm calls;

[0074] The basic layer is used for the installation of basic equipment to detect and obtain various data information. The basic layer includes lighting street lamps, and the lighting street lamps are also equipped with cameras, playback components, sensors, power supply equipment, locators, micro base stations and alarms. The cameras are used to shoot the intersection conditions, which is convenient for shooting the flow of people, vehicles, illegal pedestrians and illegal vehicles. The playback components are used to play audio and video. The power supply equipment is used to power all equipment and to supply power to the outside. The locator is used by citizens to locate their own positions and realize navigation. The micro base station is used to improve communication capabilities. The alarm is used by citizens to make one-click alarms;

[0075] A communication layer, which is used for the security and uploading and downloading of data information. The communication layer includes a wireless network and a wired network, which are used to realize communication transmission, and includes a firewall and a security gateway, which are used to improve the security of the network environment of the wireless network and the wired network, including public WIFI, which is used to provide free WIFI network to citizens, including a government network, which is used to communicate with government agencies to facilitate the alarm to perform one-click alarm, emergency rescue, fire rescue, police rescue and traffic rescue, including data uploading and data downloading, which are used to upload data information of the basic layer and realize the download of data information of the application system;

[0076] The platform layer is used to manage the system and perform computational processing on data information. The platform layer includes data analysis for processing data information, device access for managing device information and the connection between external devices, big data for realizing communication connection between all smart street lights in the area, establishing a shared database, and sharing data information, a storage module for storing data information, data encryption for encrypting and decrypting data information during transmission to improve data security, permission management for managing and identifying back-end permissions and maintenance management permissions, artificial intelligence and edge computing for computing and processing data information, and the use of edge computing to reduce the computing pressure of the system and improve computing power.

[0077] In this embodiment, preferably, in order to realize the collection of the situation at the intersection and to realize the notification of the violation, the camera includes a spherical camera for panoramic shooting, a night vision camera for vehicle violation and pedestrian violation, the spherical camera is used to shoot the situation at the intersection, the night vision camera is used to shoot the vehicle violation and pedestrian violation, and can obtain the license plate information, and play it through the playback component, the playback component includes a display and a buzzer, the locator is used to query the current position with one click, and perform address navigation, the locator can be used to easily determine the current position of the smart lamp pole, so that when the alarm is triggered with one click, the position information can be carried, and the query navigation can also be realized to provide navigation services for citizens;

[0078] The alarm includes a sound-collecting microphone and a video camera, which are used for communication connection when a one-click alarm is performed, and the position information is uploaded through the locator when a one-click alarm is performed. When a one-click alarm is performed, in order to prevent false alarms or intentional alarms, a video call with the alarmer is realized through the sound-collecting microphone and the video camera, and the situation at the intersection is collected through the camera to determine whether the alarm is true.

[0079] In this embodiment, preferably, the sensors include a noise sensor for monitoring noise, a temperature sensor for monitoring temperature, a humidity sensor for monitoring humidity, an air pollution sensor for monitoring PM2.5, a wind speed sensor for monitoring wind speed, and a photosensitive sensor for detecting ambient light intensity. The environment is detected by the sensors, which is convenient for display on the playback component, so that citizens can obtain environmental data information and various data information of the weather forecast;

[0080] The power supply equipment is used to power the system through the municipal power grid, and to step down, rectify, filter and stabilize the municipal power grid, as well as to supply power to the outside. It includes a wireless charging panel, an emergency charging socket, an electric bicycle charging socket and a computer charging socket. By powering the system through the power supply equipment, the power supply voltage can be adjusted to maintain the stable operation of the system, and it is convenient to supply power to the outside so that citizens can use it in emergencies.

[0081] In this embodiment, preferably, the data analysis includes a data receiving module, a data conversion module, a data filtering module, a data cleaning module and a data gain module. The data receiving module is used to receive and obtain the data information collected by the base layer through the communication layer, or to receive external data information. The data conversion module is used to perform analog-to-digital conversion on the data information. The data gain module is used to amplify the data information. The data filtering module is used to filter out noise in the data information. The data cleaning module is used to eliminate abnormal data information in the data information. The data analysis realizes calculation and processing of the transmitted and received data information, so as to improve the accuracy and security of the data information.

[0082] In this embodiment, preferably, the data filtering module adopts a mean filter, and the calculation formula of the mean filter is as follows:

[0083]

[0084] in, Represents the output data set after mean filtering, m represents the size of the window, v(n) j Represents the jth data information in the input data set;

[0085] The mean filter specifies a window with an odd length, uses the average value of all the data in the window to replace the value in the middle, and then translates the window with a step size of 1. The above operation is repeated until it slides to the end of the time series data. The mean filter facilitates filtering of data information, so that the data information can improve accuracy and maintain smoothness.

[0086] The algorithm used by the data cleaning module is a linear regression algorithm. In the linear regression algorithm, the data information is assumed to be Y and X, and X is the input value of each data, and the dependency relationship between Y and X is expressed as:

[0087] Y i =α+βX i +ε i ;

[0088] Among them, α and β are constants, ε iThe random disturbance term is a random variable that cannot be directly observed, i represents the number of items of the i-th data information; α and β are collectively referred to as the parameters of the overall regression equation, α is the constant term of the overall regression equation, and the intercept of the overall regression line on the Y-axis; β is the overall regression coefficient, which is also the slope of the overall regression line; the data information far away from the regression line is listed as abnormal data through the linear regression algorithm, and the abnormal data is eliminated, the abnormal data in the data information is eliminated through the data cleaning module, and the linear regression algorithm is used to calculate and detect the abnormal points of the data, and the abnormal data information is eliminated to maintain the accuracy of the data information.

[0089] In this embodiment, preferably, the data encryption is used to encrypt the data information to be transmitted and to decrypt the downloaded data information;

[0090] The data encryption adopts a hash function;

[0091] The calculation formula of the hash function is as follows: address = H[key];

[0092] The hash conflict resolution algorithm of the hash function includes a linear probing method and a quadratic probing method;

[0093] Linear Probing

[0094] hi=(h(key)+i)%m, 0≤i≤m-1;

[0095] That is, the search starts from address d, first searches T[d], then searches T[d+1], ..., until T[m-1], and then loops to T[0], T[1], ..., until a free address is found or T[d-1] is reached;

[0096] Secondary Probing

[0097] hi=(h(key)+i*i)%m, 0≤i≤m-1;

[0098] That is, the search starts from address d, first searching T[d], then searching T[d+1^2], T[d+2^2], T[d+3^2], ..., etc., until a free address is found or T[d-1] is reached;

[0099] Data encryption can be used to encrypt the transmitted data information, thereby improving the security of data information transmission, and the encrypted data information can be decrypted.

[0100] In this embodiment, preferably, the authority management is used to identify the identity, and the authority management includes back-end login, maintenance personnel login and regional smart lamp pole data access, the back-end login uses a user name and password to log in and confirm, the maintenance personnel log in using an RFID identification card to log in, and enter the back-end operation interface of the smart lamp pole to operate and maintain;

[0101] Regional smart light pole data access uses signature verification for access;

[0102] Signature Algorithm:

[0103] A encodes the file m to be signed (including the recipient, content, signer, date, etc.) and maps it into h(m);

[0104] Calculation, the calculation formula is as follows:

[0105] c1≡(h(m)) d modp,c2≡(h(m)) d modq

[0106] S A (m)≡(c1q (1) q+c2p (1) p)modn

[0107] S307, {m,S A (m)} sent to the document recipient B or the arbitrator T;

[0108] Verification algorithm:

[0109] B (or T) test:

[0110] (S A (m)) e ≡h(m)modn;

[0111] In order to achieve secure login to the smart light pole system and connect the smart light poles in the area, it is convenient for the smart light poles in the area to realize data intercommunication and mutual query and authentication.

[0112] In this embodiment, preferably, the artificial intelligence adopts an AI intelligent algorithm for counting the flow of people and vehicles on the images captured by the camera. The neural network of the AI ​​intelligent algorithm is determined by inputting neuron information and the corresponding weight matrix W. T X t , X is a vector, W is a weight matrix, and W is used to transform X into another vector;

[0113] The information transmitted from the hidden layer neurons at the previous moment to the neurons at the current moment has a value of S t-1And the corresponding weight matrix U is determined, U T S t-1 , S t-1 is a vector, U is a weight matrix, and S is transformed by U t-1 Convert to another vector;

[0114] Mainly the neuron h at the current moment t , integrate the inputs of the above two parts, activate and generate the output of the hidden layer neurons at the current moment, and the integration process is vector addition: W T X t +U T S t-1 ;

[0115] Assuming the activation function is f, the value of the neuron at the current moment is generated after activation: S t =f(W T X t +U T S t-1 ), which is the total volume of pedestrian and vehicle traffic;

[0116] Information transfer mainly transfers the value of the hidden layer neuron at the current moment to the output neuron at the current moment:

[0117] O t =g(V T S t );

[0118] The forward formula is as follows:

[0119] S t =f(W T X t +U T S t-1 ),O t =g(V T S t )=g(V T f(W T X t +U T S t-1 ));

[0120] In the entire neural network, there are three weight matrices. The first matrix is ​​W, and the dimension of the matrix is ​​(N, K), where N represents the vector dimension of the hidden layer neuron value, and K represents the dimension of the vector of the input neural unit. The second weight matrix is ​​V, and the dimension of the matrix is ​​(L, N), where P represents the vector dimension of the neurons in the output layer. The third is the weight matrix U, and the dimension of the matrix is ​​(N, N);

[0121] The AI ​​intelligent algorithm of artificial intelligence is used to count the flow of people and vehicles in the collected video information, which facilitates calculation and processing and can easily predict possible congestion.

[0122] In this embodiment, preferably, the edge computing uses a recurrent neural network to combine the original sequence with the RNN prediction information, which includes the idea of ​​information fusion. The original sequence reflects the amount of pedestrian and vehicle traffic, and the RNN prediction sequence reflects whether the pedestrian and vehicle traffic will cause congestion at the intersection;

[0123] The calculation formula of the recurrent neural network is as follows:

[0124] O t =g(V·S t )

[0125] S t =f(U·X t +W·S t-1 );

[0126] Where: U is the parameter matrix from the input layer to the hidden layer, S is the vector of the hidden layer, V is the parameter matrix from the hidden layer to the output layer, O t represents the output at time t, i.e., the possibility of congestion at the next intersection, S t Represents the value of the hidden layer at time t, W is actually the weight matrix between each time point, X is a vector, g is the output layer activation function, and f is the hidden layer activation function;

[0127] Edge computing can reduce the system's computing pressure, improve computing efficiency, and quickly predict possible congestion at intersections.

[0128] In this embodiment, preferably, the government network is used as a dedicated network for the alarm to perform one-click alarm, thereby improving the smoothness and security of the network channel, preventing network congestion after the one-click alarm, resulting in the inability to connect to the security system, and connecting the one-click alarm to a dedicated network through an exclusive government network, effectively improving the efficiency of the network connection, and preventing network congestion after the one-click alarm, resulting in the inability to connect to the security system.

[0129] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website site, computer, server or data center to another website site, computer, server or data center by wired (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.

[0130] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0131] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0132] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only some logical function divisions. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0133] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0134] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0135] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories (ROM), random access memories (RAM), magnetic disks or optical disks.

[0136] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0137] The above description is only a specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application.

Claims

1. An intelligent traffic control system based on smart lamp poles, characterized by: include, Application system, the application system includes a street light system, which is used for lighting and controlling lighting time and brightness; a power supply system, which is used to power the smart light poles and discharge electricity outside the smart light poles for emergency use by citizens; an environmental system, which is used to monitor the environment and obtain various data information, including wind speed, noise, PM2.5, temperature and humidity, and obtain weather conditions through data information from the meteorological station; a security system, which is used for citizens to make one-click alarm calls in emergency situations, including ambulance calls, fire calls, police calls and traffic calls; a traffic system, which is used to assist in traffic control, collect information on pedestrian and vehicle traffic at intersections, and is used for citizen navigation; a network system, which is used to provide network access, facilitate the upload and download of data information, and provide public WIFI for citizens; an audio and video system, which is used to decode and play public service advertisements, play data information and citizen query information, and realize video calls when making one-click alarm calls; The basic layer is used for the installation of basic equipment to detect and obtain various data information. The basic layer includes lighting street lamps, and the lighting street lamps are also equipped with cameras, playback components, sensors, power supply equipment, locators, micro base stations and alarms. The cameras are used to shoot the intersection conditions, which is convenient for shooting the flow of people, vehicles, illegal pedestrians and illegal vehicles. The playback components are used to play audio and video. The power supply equipment is used to power all equipment and to supply power to the outside. The locator is used by citizens to locate their own positions and realize navigation. The micro base station is used to improve communication capabilities. The alarm is used by citizens to make one-click alarms; A communication layer, which is used for the security and uploading and downloading of data information. The communication layer includes a wireless network and a wired network, which are used to realize communication transmission, and includes a firewall and a security gateway, which are used to improve the security of the network environment of the wireless network and the wired network, including public WIFI, which is used to provide free WIFI network to citizens, including a government network, which is used to communicate with government agencies to facilitate the alarm to perform one-click alarm, emergency rescue, fire rescue, police rescue and traffic rescue, including data uploading and data downloading, which are used to upload data information of the basic layer and realize the download of data information of the application system; The platform layer is used to manage the system and perform computational processing on data information. The platform layer includes data analysis for processing data information, device access for managing device information and the connection between external devices, big data for realizing communication connection between all smart street lights in the area, establishing a shared database, and sharing data information, a storage module for storing data information, data encryption for encrypting and decrypting data information during transmission to improve data security, permission management for managing and identifying back-end permissions and maintenance management permissions, artificial intelligence and edge computing for computing and processing data information, and the use of edge computing to reduce the computing pressure of the system and improve computing power.

2. According to claim 1, the intelligent traffic control system based on smart lamp poles is characterized by: The camera includes a spherical camera for panoramic shooting and a night vision camera for vehicle and pedestrian violations. The spherical camera is used to shoot the situation at the intersection, the night vision camera is used to shoot vehicle and pedestrian violations, and can obtain license plate information and play it through the playback component. The playback component includes a display and a buzzer. The locator is used to query the current position with one click and perform address navigation; The alarm includes a sound microphone and a video camera, which are used for communication connection when a one-key alarm is performed, and the locator is used to upload the location information when a one-key alarm is performed.

3. According to claim 1, the intelligent traffic control system based on smart lamp poles is characterized in that: The sensors include a noise sensor for monitoring noise, a temperature sensor for monitoring temperature, a humidity sensor for monitoring humidity, an air pollution sensor for monitoring PM2.5, a wind speed sensor for monitoring wind speed, and a light sensor for detecting ambient light intensity; The power supply equipment is used to power the system through the municipal power grid, and to step down, rectify, filter and stabilize the municipal power grid, as well as to supply power to the outside, including a wireless charging panel, an emergency charging socket, an electric bicycle charging socket and a computer charging socket.

4. The intelligent traffic control system based on smart lamp poles according to claim 1 is characterized in that: The data analysis includes a data receiving module, a data conversion module, a data filtering module, a data cleaning module and a data gain module. The data receiving module is used to receive the data information collected by the basic layer through the communication layer, or to receive external data information. The data conversion module is used to perform analog-to-digital conversion on the data information. The data gain module is used to amplify the data information. The data filtering module is used to filter out noise in the data information. The data cleaning module is used to eliminate abnormal data information in the data information.

5. According to claim 4, the intelligent traffic control system based on smart lamp poles is characterized in that: The data filtering module adopts a mean filter, and the calculation formula of the mean filter is as follows: in, Represents the output data set after mean filtering, m represents the size of the window, v(n) j Represents the jth data information in the input data set; The mean filter specifies a window with an odd length, uses the average value of all data in the window to replace the value in the middle, and then translates the window with a step size of 1. Repeat the above operation until it slides to the end of the time series data. The algorithm used by the data cleaning module is a linear regression algorithm. In the linear regression algorithm, the data information is assumed to be Y and X, and X is the input value of each data, and the dependency relationship between Y and X is expressed as: Y i =α+βX i +e i ; Among them, α and β are constants, ε i The random disturbance term is a random variable that cannot be directly observed. i represents the number of items of the i-th data information. α and β are collectively referred to as the parameters of the overall regression equation. α is the constant term of the overall regression equation and the intercept of the overall regression line on the Y-axis. β is the overall regression coefficient and also the slope of the overall regression line. The data information far away from the regression line is listed as abnormal data through the linear regression algorithm, and the abnormal data is eliminated.

6. The intelligent traffic control system based on smart lamp poles according to claim 1 is characterized in that: The data encryption is used to encrypt the data to be transmitted and to decrypt the downloaded data; The data encryption adopts a hash function; The calculation formula of the hash function is as follows: address = H[key]; The hash conflict resolution algorithm of the hash function includes a linear probing method and a quadratic probing method; Linear Probing hi=(h(key)+i)%m, 0≤i≤m-1; That is, the search starts from address d, first searches T[d], then searches T[d+1], ..., until T[m-1], and then loops to T[0], T[1], ..., until a free address is found or T[d-1] is reached; Secondary Probing hi=(h(key)+i*i)%m, 0≤i≤m-1; That is, the search starts from address d, first searching T[d], then searching T[d+1^2], T[d+2^2], T[d+3^2], ..., etc., until a free address is found or T[d-1] is reached.

7. The intelligent traffic control system based on smart lamp poles according to claim 1 is characterized in that: The authority management is used to identify the identity, and the authority management includes back-end login, maintenance personnel login and regional smart lamp pole data access. The back-end login uses a user name and password to log in and confirm, and the maintenance personnel log in using an RFID identification card to log in and enter the back-end operation interface of the smart lamp pole to operate and maintain; Regional smart light pole data access uses signature verification for access; Signature Algorithm: A encodes the file m to be signed (including the recipient, content, signer, date, etc.) and maps it into h(m); Calculation, the calculation formula is as follows: c1≡(h(m)) d modp,c2≡(h(m)) d modq S A (m)≡(c1q (1) q+c2p (1) p)modn S307, {m,S A (m)} sent to the document recipient B or the arbitrator T; Verification algorithm: B (or T) test: (S A (m)) e ≡h(m)modn.

8. The intelligent traffic control system based on smart lamp poles according to claim 1 is characterized in that: The artificial intelligence adopts an AI intelligent algorithm to count the flow of people and vehicles in the images captured by the camera. The neural network of the AI ​​intelligent algorithm is determined by inputting neuron information and the corresponding weight matrix W. T X t , X is a vector, W is a weight matrix, and W is used to transform X into another vector; The information transmitted from the hidden layer neurons at the previous moment to the neurons at the current moment has a value of S t-1 And the corresponding weight matrix U is determined, U T S t-1 , S t-1 is a vector, U is a weight matrix, and S is transformed by U t-1 Convert to another vector; Mainly the neuron h at the current moment t , integrate the inputs of the above two parts, activate and generate the output of the hidden layer neurons at the current moment, and the integration process is vector addition: W T X t +U T S t-1 ; Assuming the activation function is f, the value of the neuron at the current moment is generated after activation: S t =f(W T X t +U T S t-1 ), which is the total volume of pedestrian and vehicle traffic; Information transfer mainly transfers the value of the hidden layer neuron at the current moment to the output neuron at the current moment: O t =g(V T S t ); The forward formula is as follows: S t =f(W T X t +U T S t-1 ),O t =g(V T S t )=g(V T f(W T X t +U T S t-1 )); In the entire neural network, there are three weight matrices. The first matrix is ​​W. The dimension of the matrix is ​​(N, K), where N represents the vector dimension of the hidden layer neuron values ​​and K represents the dimension of the vector of the input neural unit. The second weight matrix is ​​V. The dimension of the matrix is ​​(L, N), where P represents the vector dimension of the neurons in the output layer. The third is the weight matrix U, which has a dimension of (N, N).

9. The intelligent traffic control system based on smart lamp poles according to claim 1 is characterized in that: The edge computing uses a recurrent neural network to combine the original sequence with the RNN prediction information, which includes the idea of ​​information fusion. The original sequence reflects the amount of pedestrian and vehicle traffic, and the RNN prediction sequence reflects whether the pedestrian and vehicle traffic will cause congestion at the intersection. The calculation formula of the recurrent neural network is as follows: O t =g(V·S t ) S t =f(U·X t +W·S t-1 ); Where: U is the parameter matrix from the input layer to the hidden layer, S is the vector of the hidden layer, V is the parameter matrix from the hidden layer to the output layer, O t represents the output at time t, i.e., the possibility of congestion at the next intersection, S t Represents the value of the hidden layer at time t, W is actually the weight matrix between each time point, X is a vector, g is the output layer activation function, and f is the hidden layer activation function.

10. The intelligent traffic control system based on smart lamp poles according to claim 1, characterized in that: The government network is used as a dedicated network for the alarm to perform one-click alarm, which improves the smoothness and security of the network channel and prevents network congestion after the one-click alarm, resulting in the inability to connect to the security system.

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