TWI762835B - Distributed hearing system for use with traffic signals and the method of using the same - Google Patents

Abstract

The invention relates to a distributed hearing system for use with traffic signals and the method of using the same, which comprises: a plurality of near-end audio acquisition modules respectively arranged on a plurality of traffic signs of the road, at least one distance apart from each other, any near-end audio collection The module is configured to collect one or more sound features of an event occurring at the intersection where the traffic signal is located; a central data collection and analysis control module is coupled to the plurality of near-end audio acquisition modules to receive the near-end The sound feature collected by the audio collection module, and storing and analyzing the sound feature, can be used as a basis for generating and issuing immediate or non-immediate decision commands.

Description

Decentralized Traffic Signal Hearing System and Using Decentralized Traffic Signal Hearing systematic approach

This case is about a decentralized traffic signal auditory system and a method of using the decentralized traffic signal auditory system, especially the decentralized traffic signal auditory system applied to urban management and the method of using the decentralized traffic signal auditory system.

Because of dense population and frequent activities, good urban governance must collect information generated by residents' various activities, and use the collected information to make judgments and decisions. The above-mentioned information may include video and sound, but current conventional methods focus on video, such as wide-ranging cameras as the main direction of current policy. However, urban sound information also follows the distribution and development of population and traffic, and there is a great correlation between the two. Therefore, the monitoring, collection and analysis of sound information is also an important and indispensable reference material in urban governance.

Regarding the sources of sound information, it can be divided into two categories: fixed audio sources and mobile audio sources. Among them, the fixed audio sources are mostly periodic (such as business noise/factory machine sound). Therefore, when the sound volume of the fixed audio source is too loud to cause discomfort to others and is reported, the Environmental Protection Bureau will come to the site for inspection/testing. There is a higher probability of still existing, so this type of whistleblower case is easier to establish and improve.

As for mobile audio sources, it is like common modified vehicles/old vehicles/heavy-duty vehicles and other vehicles with high noise pollution. When these high-noise vehicles are driving on the road, they are harmed everywhere, but because they are mobile noise sources, the time/place and noise value of the noise are extremely difficult to reproduce or predict. Therefore, this type of reporting case is extremely difficult to establish, which also makes these high-noise vehicles continue to infringe on people's quiet life. Even now government agencies cooperate with the police to stop and check high-noise vehicles on the side of the road from time to time, such discontinuous and scattered check-ups are like luck and cannot achieve comprehensive noise monitoring and control. with no apparent effect.

The main purpose of this case is to improve the lack of the above-mentioned conventional methods, and is to develop a decentralized traffic signal auditory system, which includes: a plurality of near-end audio acquisition modules, respectively deployed on a plurality of traffic signals on the road, two The two are separated by at least a distance, and any near-end audio collection module is used to collect a sound feature of an event occurring at the intersection where the traffic signal is located; and a central data collection and analysis control module is used for collecting the plurality of near-end audio signals. The module completes the signal connection for receiving the sound feature collected by the near-end audio collection modules, storing and analyzing the sound feature, and finally issuing at least one decision command.

According to the above concept, in the decentralized traffic signal auditory system described in this case, the sound feature of the event includes the sound intensity and audio distribution data.

According to the above concept, in the decentralized traffic signal hearing system described in this case, the decision command issued by the central data collection and analysis control module is sent back to one of the plurality of near-end audio collection modules for controlling The near-end audio collection module performs a specific action.

According to the above concept, in the decentralized traffic signal hearing system described in this case, any one of the near-end audio collection modules includes a collection network module and a real-time Video capture module, the capture network module can be mainly composed of wired network devices or wireless transmission devices that conform to wireless communication protocols (such as wireless 4G or 5G network devices), and the real-time video capture module is mainly composed of microphone/ The module composed of the camera can passively wait for the central data collection and analysis control module to complete the connection of the signal to collect real-time image and sound.

According to the above concept, in the decentralized traffic signal hearing system described in this case, the near-end audio acquisition module further includes an audio and environmental science data acquisition and storage module, which mainly consists of a noise meter, an anemometer, a pressure meter, a temperature meter, a A hygrometer and a storage device are combined, and are mainly used to collect real-time and uninterrupted audio data and other environmental scientific data.

According to the above concept, in the decentralized traffic signal hearing system described in this case, the near-end audio acquisition module further includes at least one electromechanical control module, which is mainly composed of control switches for real-time/non-real-time Receive the control signal generated locally, or passively wait for the control signal from the central data collection and analysis control module to generate the corresponding electromechanical control behavior.

According to the above concept, in the decentralized traffic signal hearing system described in this case, the central data collection and analysis control module includes a network module, a data storage module and a real-time video and audio collection module. The network module mainly provides the central data collection, analysis and control module to actively collect data from the near-end audio collection modules. The real-time video collection module is used to actively collect real-time images and sounds of the environment monitored by the near-end audio collection modules. The data storage module stores the video and audio data retrieved from the near-end audio capture modules by the real-time video capture module.

According to the above concept, in the decentralized traffic signal auditory system described in this case, the central data collection and analysis control module further includes an audio and environmental science data collection module, which is used to actively collect the monitoring of the near-end audio collection modules. The environmental sound characteristics and environmental scientific data are stored in the data storage module. The central data collection and analysis control module can analyze various data stored in the data storage module, and finally issue the decision command.

According to the above concept, in the decentralized traffic signal hearing system described in this case, the central data collection and analysis control module further includes an artificial intelligence data analysis and control module for processing a real-time artificial intelligence data analysis. The real-time artificial intelligence data analysis is to analyze the audio data generated by the audio and environmental science data collection module and the real-time video and audio collection module, and also perform arithmetic analysis on the environmental science data and the real-time audio and video data simultaneously.

According to the above concept, in the decentralized traffic signal hearing system described in this case, the AI data analysis and control module is used to process a non-real-time AI data analysis, which can extract data from the data storage module , for artificial intelligence model training.

According to the above conception, the decentralized traffic signal hearing system described in this case operates a method of banning violations and notifying arrival for inspection. The method includes the following steps: when a noisy vehicle passes through a plurality of near-end audio acquisition modules installed After the intersection, the central data collection and analysis control module analyzes the audio events that exceed the standard according to the sound characteristics, images, sounds and other data collected by the near-end audio acquisition modules, as long as they belong to the same noise vehicle. For audio events, the images and sounds collected by the vehicle through various near-end audio acquisition modules are extracted through the time when these audio events occur, as evidence for banning and notification of arrival.

According to the above conception, the decentralized traffic signal hearing system described in this case operates a method of banning violations and notifying arrival for inspection. At present, the maximum noise level according to the laws and regulations of each region is fixed at any time. Just like a noisy vehicle, there is no one in the morning, there is a lot of traffic during work hours, afternoon get off work hours, and quiet time at night. Although the noise value emitted by the vehicle is the same, it is completely different for the residents of the place. If there is no one in the early morning and the noise value during the silent time at night, it should be much lower than the noise value of a busy commute to and from get off work. The system can continuously insert different parameters and calculations into the data storage module, and finally analyze the value of each near-end audio acquisition module at any time period such as hourly, daily, weekly, monthly, quarterly, etc. As the most appropriate method to ban and notify the inspection of noise exceeding the standard, it is enough Substantially reducing government noise monitoring personnel is an effective solution between the solidification of the current law and the people's complaints.

According to the above concept, the decentralized traffic signal hearing system described in this case operates an emergency response method, which includes the following steps: making all the near-end audio acquisition modules monitor the dynamic sound of the road at any time, and when the police car/fire truck / After the ambulance passes through a near-end audio acquisition module and senses the sound characteristic value of one of the vehicles belonging to the police car/fire engine/ambulance, the system will automatically contact the next device equipped with a distributed traffic signal auditory The system's traffic signal, the generated decision signal provides the signal to control the traffic signal to maintain the green light, so that the road for police cars/fire engines/ambulances to pass smoothly.

According to the above concept, the decentralized traffic signal hearing system described in this case operates an emergency response method, which includes the following steps: collecting the characteristic value of the sound of suspicious vehicles through a hand-held vehicle audio analyzer; sending back the central data After collecting and analyzing the control module, the sound characteristic value of the suspicious vehicle is tracked through a plurality of near-end audio collection modules deployed in each traffic sign; the central data collection and analysis control module is based on the sound characteristic value of the suspicious vehicle and the The time sequence of each characteristic value can determine and predict the route that the vehicle is expected to travel in the past and in the future, and the generated decision signal will actively control the traffic signal near the place to maintain the red light through the traffic control system, making suspicious The road that the vehicle wants to pass through is blocked, so that the police can replace the pursuit by rounding up, reducing the regret of the loss of life and property of the police, bandits, and civilians due to the pursuit.

According to the above concept, in the decentralized traffic signal hearing system described in this case, the vehicle sound characteristic value is emitted by the sound license plate completed by an audio recognition transmitter.

According to the above concept, the decentralized traffic signal auditory system described in this case operates a method of illegal banning and notification of arrival, and the method includes the following steps: continuously analyzing the noise of a plurality of time periods Obtaining a set of relative excessive noise values at the location corresponding to the plurality of time periods based on the sound fluctuation characteristics; and using the set of relative excessive noise values as a triggering condition for the audio event to ban and notify the inspection.

10: Internet

11: Near-end audio acquisition module

12: Central data collection analysis control module

110: Collect network modules

111: Audio and Environmental Science Data Collection and Storage Module

112: Real-time video capture module

113: Electromechanical control module

120: Network Module

121: Audio and Environmental Science Data Collection Module

122: Real-time video collection module

123:Data storage module

124: Artificial Intelligence Data Analysis and Control Module

Figure 1 is a functional block diagram of the decentralized traffic signal auditory system developed in this case.

FIG. 2A is a functional block diagram of a near-end audio acquisition module in a decentralized traffic signal hearing system.

FIG. 2B is a functional block diagram of the central data collection and analysis control module in the decentralized traffic signal auditory system.

FIG. 3 is a schematic diagram showing the road layout of the decentralized traffic signal auditory system developed in this case.

Some typical embodiments that can achieve the features and advantages of the present case will be described in detail in the description of the following paragraphs. It should be understood that this case can have various changes in different aspects, all of which do not depart from the scope of the patent application of this case, and the descriptions and drawings in it are essentially for illustration purposes, not for limiting this case. .

The current police system, through processing and identification of video data recorded from various places, has greatly improved the police's detection of cases and promoted the improvement of urban security. However, the processing and identification of image data requires a lot of computing power, and the preservation of image data also consumes a lot of storage. space. Therefore, it is relatively unfavorable in terms of construction cost or response speed of the system. On the other hand, using the sound feature data for processing and identification has the advantages of low cost and fast computation, and the cost of using a sound collection device (eg, a microphone) to cover a wide angle range is also low. In the same time unit, the technical means of sound collection and recognition can also have a larger number of recognition judgments. On the other hand, the limitation of image recognition is that the object to be tracked must appear in the screen, so this recognition technology has a blind spot, and it will also fail to recognize the image due to the influence of the weather and other factors on the clarity of the screen, and the technology of sound collection and recognition The means are less problematic.

Furthermore, because traffic signs are already an indispensable part of infrastructure construction in urban development. Therefore, with the increase in the length and density of roads, the location of traffic signs has also expanded to every corner of the city. Therefore, in this case, a decentralized traffic signal auditory system was developed, which combined the technical means of collecting audio data with the traffic signal that the mobile audio source must pass through, so as to collect audio and other related data.

Please refer to FIG. 1, which is a functional block diagram of the decentralized traffic signal auditory system developed in this case, which includes a Near Audio Probe Module 11 and a Central Data Collection and Analysis Control Module (Central Data Collecting). /Analysis/Control Module)12. The near-end audio collection module 11 can be deployed on the traffic signal, and its main purpose is to collect a sound feature of the event at the intersection where the traffic signal is located. The sound feature can be the intensity of the sound and the audio frequency. Distribution data, wherein the vehicle's sound characteristic value can be emitted by the sound license plate performed by an audio recognition transmitter. That is, the sound feature can represent one of the registration information of the vehicle, for example, an audio identification transmitter is attached to the vehicle, and the audio identification transmitter emits a sound carrier signal in the form of ultrasonic waves, and the registration information is represented by The way of mixing is contained in the sound carrier signal and transmitted, and then collected by the near-end audio acquisition module 11 for demodulation, and then the vehicle registration information is obtained. Multiple near-end audio The collection module 11 can complete the connection with the remote central data collection, analysis and control module 12 through the Internet 10 . Of course, the Internet 10 may also be other wide area networks or private area networks.

As shown in FIG. 2A , the near-end audio acquisition module 11 can be composed of the following acquisition network module 110 , audio and environmental science data acquisition and storage module 111 , real-time audio and video acquisition module 112 , and electromechanical control module 113 to be combined. Among them, the acquisition network module 110 can mainly be constructed in fixed IP or non-fixed IP communication modes such as 3G/4G/5G, and of course other wireless/wired communication modes can be used for the near-end audio acquisition module 11 can passively receive control, or passively wait for the central data collection and analysis control module 12 to complete the signal connection for data collection. In this way, due to the limitation of wiring in the wired network, the distribution breadth of the near-end audio capture module 11 in urban and rural areas can be reduced.

As for the audio and environmental science data acquisition and storage module 111, environmental data such as noise meters (such as common precision 1/1 and 1/3 octave frequency band time analyzers), anemometers, pressure meters, temperature and humidity can be obtained. The combination of the detector and the storage device is mainly used to collect real-time and uninterrupted audio data and other environmental scientific data, so there is audio data that can be collected. The real-time video and audio capture module 112 is mainly a module composed of a camera/microphone, so it can also capture audio data. Both can passively wait for the central data collection and analysis control module 12 to complete the connection of the signal and accept its activation, so as to collect real-time images and sounds.

The electromechanical control module 113 is mainly composed of control switches, and is used to receive the control signal generated locally in real-time/non-instantly, or passively wait for the control signal from the central data collection and analysis control module 12 , control the use of various electromechanical devices at the local end, or send control signals to the control system of the traffic signal to perform subsequent control actions, such as forcing a green light or forcing a red light.

The main purpose of the central data collection and analysis control module 12 is to actively collect data from the near-end audio collection module 11, store/analyze the data, and finally obtain A series of decision commands are used to control one or more near-end audio capture modules 11 to perform one or more specific actions. For example, the electromechanical control module 112 in the near-end audio acquisition module 11 can be actively controlled, and the control signal can be sent to the control system of the traffic signal, so that the traffic signal is forced to be green, and the police car/ The road for fire trucks/ambulances to pass is smooth to facilitate smooth emergency services. Of course, it is also possible to take the initiative to control the traffic signal near the place to force a red light through the traffic signal control system, so that the road where the suspicious vehicle wants to pass is blocked, so that the police can replace the pursuit by rounding up. Of course, a series of decision commands can also be transferred to other systems for subsequent processing.

As shown in FIG. 2B , the central data collection and analysis control module 12 includes the following modules: a network module 120 , an audio and environmental science data collection module 121 , a real-time audio and video collection module 122 , and a data storage module Group 123 and AI data analysis and control module 124. The network module 120 is constructed by a wired/wireless network module, and mainly provides the central data collection and analysis control module 12 to actively send signals to the near-end audio collection module 11 for electromechanical control, audio and data collection. . The audio and environmental science data collection module 121 is used to actively collect the audio and environmental science data in the near-end audio collection module 11 . The real-time audio and video collection module 122 is used to actively collect the audio data of the camera and the microphone in the near-end audio collection module 11 . The data storage module 123 stores the data and information retrieved by the audio and environmental science data collection module 121 and the real-time video and audio collection module 122 , respectively, actively retrieved from the near-end audio collection module 11 .

The AI data analysis and control module 124 is used for processing real-time AI data analysis and non-real-time AI data analysis. The real-time artificial intelligence data analysis is to analyze the audio data generated by the audio and environmental science data collection module 121 and the real-time audio and video collection module 122, and also perform arithmetic analysis on the environmental science data and real-time audio and video data. After analyzing the results of the items, a series of command decisions are generated, and then the network module 120 is used to notify other systems to perform corresponding actions, or to control the electromechanical control module 112 of the near-end audio acquisition module 11. system. As for the non-real-time AI data analysis, the data can be extracted from the data storage module 123 for AI Model Training, or schedules can be arranged to perform real-time AI data analysis as needed. .

Please refer to FIG. 3 again, which is a schematic diagram of the road layout of the decentralized traffic signal auditory system developed in this case. , Lines A, B, C and lines 1, 2, 3 intersect to form a city road network diagram, each node (A1, A2, A3, B1, B2, B3, C1, C2, C3) represents an intersection, and the The distance is from tens of meters to hundreds of meters, and even the level of kilometers is applicable. In addition, the decentralized traffic signal auditory system can be deployed on the traffic signals at each intersection between cities, and can be installed at all intersections; or the installation method of the intersection can be selected as shown in the figure below. In this way, noise/sound data collection can be performed for a long time, continuously, intelligently, widely, and without distance.

Some application examples that can be accomplished by the above technical means are described below. The present invention mainly proposes a decentralized traffic signal hearing system, which can disperse the near-end audio collection module 11 on the traffic signs of each main road, so when a modified vehicle passes through a certain area where the near-end audio collection module 11 is installed When the junction is banned and reported, the present invention allows the modified vehicle to pass through one or more intersections with different near-end audio capture modules 11, so the system of the present invention can provide the vehicle to pass through all the near-end audio capture modules. The evidence concatenated by the moving image/sound/noise/audio data at the intersection of group 11 (it can be referred to as a sound history or an audio-visual history with images) will be able to improve the supporting data for banning violations, so that This case can be successfully established, and this advantage is beyond the reach of fixed/single-point audio collection systems.

Moreover, the decentralized traffic signal hearing system proposed by the present invention continuously and uninterruptedly collects the audio of the vehicles passing on the road, so that the traffic signal of each main road can be upgraded to an audible traffic signal, As a traffic signal auditory system for protecting the city through sound, the intersections (A1, A2, A3, B1, B2, B3, C1, C2, C3) installed by the near-end audio collection module 11 are composed of one, two When one or more intersections are integrated and organized, the traffic signal auditory system will achieve the coverage of urban integrity in the form of points, lines and surfaces, which is beyond the reach of fixed/single-point audio collection systems.

Furthermore, the decentralized traffic signal auditory system proposed in this case mainly uses 3G/4G/5G mobile communication technology as the network foundation of the system. In Taiwan, which is gradually entering 5G, traffic signals are everywhere. Any traffic signal with 3G/4G/5G signal in the city/urban/rural/suburban/mountain area can be installed with the near-end audio acquisition module 11.

In the decentralized traffic signal hearing system proposed by the present invention, the network IP of the near-end audio acquisition module 11 erected on each traffic signal is based on the dynamic IP of 3G/4G/5G for data transmission, so it is difficult to In addition, due to the dynamic IP, the IP address of any near-end audio acquisition module 11 in the decentralized traffic signal auditory system can be randomly/or scheduled. to re-update or re-acquire, making it more difficult for hackers to enter and destroy.

In addition, the decentralized traffic signal auditory system in this case can monitor the dynamic sound of the road at any time, so when a police car/fire truck/ambulance passes through a near-end audio acquisition module 11 and senses that it belongs to a police car/fire truck/ After the sound of the ambulance is characterized, the system in this case can actively contact the next traffic signal equipped with a decentralized traffic signal auditory system, and then control the traffic signal through the traffic control system, so that the police car/fire engine/ambulance can pass through. The road is smooth, to facilitate the smooth operation of emergency services. This point is also beyond the reach of fixed/single-point audio collection systems.

In addition, when the police are following a suspicious vehicle, they can use the handheld vehicle audio analysis machine to quietly collect the vehicle sound characteristic values of the suspicious vehicle, and input them into the central data collection and analysis control module 12. The near-end audio collection module 11 of each traffic signal collects the sound characteristic value of the vehicle. When the corresponding vehicle sound characteristic value is found, it can actively control the traffic signal signal near the place through the traffic control system. The roads that the suspicious vehicles want to pass through are blocked, so that the police can replace the pursuit by rounding up, so that the sad incident of the police/bandit/civilian death and injury caused by the pursuit will no longer be repeated.

Furthermore, it can be combined with the depot to install an audio recognition transmitter in advance when the car and locomotive comes out, just like the sound license plate. When the vehicle passes through the near-end audio acquisition module 11 , the sound number of the license plate can be obtained quickly and without weather and blind spots (relative to image license plate recognition). It can also be combined with a self-developed audio recognition transmitter (like a sound license plate), which can be mounted on the car autonomously; or when the police are chasing the criminals, they can be forced to install on the vehicle through the transmitter, so that they can be transmitted through various places. The near-end audio acquisition module 11 is for the purpose of identifying and tracking without weather and dead angle (relative to image license plate recognition).

Although license plate image analysis is mature and popular today, the processing resources required for image recognition are far greater than the processing of audio. Therefore, under the same resources, voice recognition can identify more different audio features within a unit time. value. Such characteristics show that this case is more suitable for roads with heavy traffic flow.

Moreover, the decentralized traffic signal auditory system proposed in this case can be deployed on the traffic signals at each intersection between cities, and can be installed at all intersections. In this way, noise/sound data collection can be performed for a long time, continuously, intelligently, widely, and without distance. In addition, urban and suburban living patterns and population densities are different, so the intensity of ambient noise is not the same, but the noise standard value of regulations cannot be adjusted flexibly. To this end, the decentralized traffic signal auditory system proposed in this case can be used for continuous monitoring and collection, and the multi-point near-end audio collection module coupled with long-term data collection and artificial intelligence analysis and processing can be used. The data summarized and produced by the system in this case are provided to the government for reference in the formulation of noise policy, so as to solve the current urban noise classification simply by the use of location distinctions to determine the maximum noise value in the area, rather than the presentation of actual human activities. the absence of. Moreover, the maximum volume limit of each area such as urban and suburban areas, and human activities will continue to change over time. Using the decentralized traffic signal auditory system developed in this case, it can follow the changes and growth of the city. In addition, continuous monitoring reflects the actual comparison of whether the noise generated by human activities in each district is consistent with the actual destination, and achieves the goal of smart city planning and governance.

To sum up, although the present invention has been disclosed by the above embodiments, it is not intended to limit the present invention. Anyone with ordinary knowledge in the technical field can make some modifications without departing from the spirit and scope of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the appended patent application.

10: Internet

11: Near-end audio acquisition module

12: Central data collection analysis control module

Claims (15)

A decentralized traffic signal hearing system, comprising: a plurality of near-end audio collection modules, respectively arranged on a plurality of traffic signs on a road, with at least a distance between them, and any near-end audio collection module is used for to collect a sound feature of the event at the intersection where the traffic signal is located; and a central data collection and analysis control module to complete signal connection with the above-mentioned multiple near-end audio acquisition modules for receiving the near-end audio acquisition modules group the collected sound features, store and analyze the sound features, and finally issue at least one decision command, and the decision command is sent back to one of the above-mentioned multiple near-end audio acquisition modules for controlling the near-end The audio collection module performs a specific action, and the specific action is: making the traffic signal force a green light or force a red light. The distributed traffic signal auditory system as described in item 1 of the patent application scope, wherein the sound feature of the event includes the sound intensity and audio distribution data. The decentralized traffic signal hearing system as described in item 1 of the scope of the patent application, wherein the decision command issued by the central data collection and analysis control module is sent back to one of the plurality of near-end audio collection modules, using To control an electromechanical control module in the near-end audio acquisition module, so that the electromechanical control module sends a control signal to a control system of the traffic signal, so that the traffic signal is forced to a green light or a forced red light . The decentralized traffic signal hearing system as described in item 1 of the patent application scope, wherein any one of the near-end audio collection modules includes a collection network module and a real-time audio and video collection module , the acquisition network module can be mainly composed of a wireless transmission device that conforms to the wireless communication protocol, and the real-time video acquisition module is mainly composed of a microphone/camera module, which can be Actively wait for the central data collection and analysis control module to complete the signal connection to collect real-time images and sounds. The decentralized traffic signal hearing system as described in item 4 of the patent application scope, wherein the near-end audio acquisition module further includes an audio and environmental science data acquisition and storage module, which mainly consists of a noise meter, an anemometer, and a pressure meter. , a combination of temperature and humidity meter and storage device, mainly used for real-time and uninterrupted collection of audio data and other environmental scientific data. The decentralized traffic signal hearing system as described in item 4 of the patent application scope, wherein the near-end audio acquisition module further comprises an electromechanical control module for receiving the control signal generated locally in real time/non-real time, Or passively wait for the control signal from the central data collection and analysis control module to control various electromechanical devices at the local end. The decentralized traffic signal hearing system as described in item 4 of the scope of the patent application, wherein the central data collection and analysis control module comprises a network module, a data storage module and a real-time video and audio collection module, the network The module is constructed from a wired/wireless network module, and mainly allows the central data collection, analysis and control module to actively send signals to the near-end audio collection module, so that the near-end audio collection module can process data The real-time audio and video collection module is used to actively collect the real-time image and sound sent by the near-end audio collection module, and the data storage module stores the real-time audio and video collection module actively from the near-end audio collection module. Data and information retrieved by the organization. The decentralized traffic signal hearing system as described in item 7 of the patent application scope, wherein the central data collection and analysis control module further includes an audio and environmental science data collection module for actively collecting the near-end audio collection module Send out an audio and environmental data data and store it in the data storage module, so that the central data collection and analysis control module can analyze various data stored in the data storage module, and finally issue the decision command. The decentralized traffic signal hearing system as described in item 7 of the patent application scope, wherein the central data collection, analysis and control module further includes an artificial intelligence data analysis and control module for processing a real-time artificial intelligence data analysis , the real-time artificial intelligence data analysis is to analyze the audio data generated by the audio and environmental science data collection module and the real-time audio-visual data collection module, and also perform arithmetic analysis on the environmental science data and the real-time audio-visual data simultaneously. . The decentralized traffic signal hearing system as described in item 9 of the patent application scope, wherein the AI data analysis and control module is used to process a non-real-time AI data analysis, which can be stored in the data storage module Extract data for artificial intelligence model training. A method for using a decentralized traffic signal hearing system, wherein the decentralized traffic signal hearing system comprises: a plurality of near-end audio acquisition modules, respectively arranged on a plurality of traffic signals on a road, with a distance of at least two A distance, any near-end audio collection module is used to collect a sound feature of the event at the intersection where the traffic sign is located; and a central data collection and analysis control module, and the above-mentioned multiple near-end audio collection modules complete the signal The connection is used to receive the sound features collected by the near-end audio acquisition modules, store and analyze the sound features, and finally issue at least one decision-making command. The method of banning and notifying the arrival of inspection, the method includes the following steps: when a modified vehicle passes through a certain intersection equipped with the near-end audio capture module and is banned and reported, take out the modified vehicle and pass through a plurality of different intersections equipped with different junctions. Evidence of concatenation of sound features collected by the near-end audio acquisition module. A method for using a decentralized traffic signal hearing system, wherein the decentralized traffic signal hearing system comprises: a plurality of near-end audio acquisition modules, respectively arranged on a plurality of traffic signals on a road, with a distance of at least two A distance, any near-end audio collection module is used to collect a sound feature of the event at the intersection where the traffic sign is located; and a central data collection and analysis control module, and the above-mentioned multiple near-end audio collection modules complete the signal connection, used to receive the data collected by these near-end audio capture modules The sound feature is stored and analyzed, and finally at least one decision command is issued. An emergency response method is run on the decentralized traffic signal auditory system, and the method includes the following steps: making all the near-end audio collections The module monitors the dynamic sound of the road at any time, and when the police car/fire truck/ambulance passes through a near-end audio acquisition module and senses the sound characteristic value of the vehicle belonging to one of the police car/fire truck/ambulance, the system will It will take the initiative to connect to the next traffic signal equipped with a decentralized traffic signal auditory system to control the signal of the traffic signal to maintain the green light, so that the road for police cars/fire engines/ambulances to pass through is smooth. A method for using a decentralized traffic signal hearing system, wherein the decentralized traffic signal hearing system comprises: a plurality of near-end audio acquisition modules, respectively arranged on a plurality of traffic signals on a road, with a distance of at least two A distance, any near-end audio collection module is used to collect a sound feature of the event at the intersection where the traffic sign is located; and a central data collection and analysis control module, and the above-mentioned multiple near-end audio collection modules complete the signal connected to receive the sound features collected by the near-end audio collection modules, store and analyze the sound features, and finally issue at least one decision command, and run an emergency on the decentralized traffic signal auditory system A contingency method, the method includes the following steps: collecting a vehicle sound characteristic value of a suspicious vehicle through a hand-held vehicle audio analysis machine; inputting the central data collection and analysis control module, and then by deploying it on each traffic sign. A plurality of near-end audio collection modules are used to collect the vehicle sound characteristic value; and when the corresponding vehicle sound characteristic value is found, it will actively control the traffic signal near the place to maintain the red light through the traffic control system, so that the red light is maintained. The road that the suspicious vehicle is going to pass through is blocked, and the police will replace the pursuit by rounding up. The method for using a decentralized traffic signal hearing system as described in any one of the claims 12 and 13 of the claimed scope, wherein the vehicle sound feature value is emitted by a sound license plate completed by an audio recognition transmitter. A method for using a decentralized traffic signal hearing system, wherein the decentralized traffic signal hearing system comprises: a plurality of near-end audio acquisition modules, respectively arranged on a plurality of traffic signals on a road, with a distance of at least two A distance at which any near-end audio collection module is used to collect the traffic sign A sound feature of events occurring at the intersection; and a central data collection and analysis control module, which completes signal connection with the above-mentioned multiple near-end audio collection modules, and is used to receive the data collected by the near-end audio collection modules. sound characteristics, and store and analyze the sound characteristics, and finally issue at least one decision-making command, the decentralized traffic signal auditory system runs a method of illegal banning and notification arrival inspection, the method includes the following steps: continuous analysis of a plurality of The noise fluctuation characteristic of the time period is used to obtain a set of relative excessive noise values at the location corresponding to the plurality of time periods; and the set of relative excessive noise values is used as the triggering condition of the audio event for banning and notifying the inspection.

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