Digital video monitoring system based on smart city

Abstract

The invention discloses a digital video monitoring system based on a smart city, and relates to the field of smart city traffic monitoring and management. The smart city monitoring center is connected with a digital video acquisition module, a digital video transmission module, a digital video storage module, a digital video analysis module, a digital video control module and an equipment terminal module; the data acquisition module is used for converting an acquired analog video signal into a digital video signal; the digital video transmission module is used for transmitting a digital video signal through a coaxial cable; the digital video storage module is used for decoding and storing the coded digital video signal; the digital video analysis module is used for comprehensively analyzing and comparing the received digital video information; the digital video control module performs control according to an analysis and comparison result of the digital video information; and the equipment terminal module is used for establishing a link between the equipment terminal and the smart city monitoring center.

Description

Technical Field

[0001] The present invention relates to the field of smart city traffic monitoring and management, and in particular to a digital video monitoring system based on a smart city. Background Art

[0002] Smart city refers to the use of new generation information technologies such as the Internet of Things, cloud computing, big data, spatial geographic information integration, etc. to promote new concepts and models of intelligent urban planning, construction, management and services, making key infrastructure components and services of cities such as urban management, transportation, public utilities and public safety more interconnected, efficient and intelligent, thereby providing citizens with better life and work services; the latest progress and innovations in information and communication technology, robotics, wireless sensor networks, the Internet of Things, cloud computing and big data analysis have laid the foundation for the development of smart cities. At present, many large cities in my country are facing traffic congestion, and the number of vehicles will increase periodically or suddenly due to reasons such as peak hours, large-scale events, construction work or accidents.

[0003] In the existing technology, in the face of the current situation of periodic or sudden increase in the number of vehicles, the main solution is for traffic managers to find the source in time and arrange traffic reasonably. At the same time, the cameras currently installed in the city can only provide partial information, and it is difficult to provide complete and real-time information for traffic managers to refer to and judge. In order to solve these problems, a digital video monitoring system based on smart city is now provided. Summary of the invention

[0004] In order to solve the above technical problems, the object of the present invention is to provide a digital video surveillance system based on a smart city.

[0005] The object of the present invention can be achieved by the following technical solutions: A digital video monitoring system based on a smart city, comprising a smart city monitoring center, wherein the smart city monitoring center is connected to a digital video acquisition module, a digital video transmission module, a digital video storage module, a digital video analysis module, a digital video control module, and a device terminal module; The digital video acquisition module is used to convert the acquired analog video signal into a digital video signal; The signals generally collected in the field of urban monitoring are analog video signals; The digital video acquisition module collects analog video signals through monitoring systems distributed in every corner of the city; The monitoring system is equipped with a camera and a microphone to collect images and audio in the monitoring area in real time, and upload the collected images and audio to the digital video acquisition module; The digital video acquisition module identifies the received images and audio as analog video signals, and converts the analog video signals into digital video signals through sampling, quantization, and encoding; The process of sampling, quantization, and encoding includes: Scanning the received video image; For the scanned video image, sampling is performed according to the sampling period T; For the sampled video image, hierarchical quantization is performed; For the quantized video image, the analog video signal is converted into a digital video signal for representation; The digital video transmission module is used to transmit the digital video signal through the coaxial cable; The process of transmitting digital video signals over coaxial cable includes: Convert the digital video signal after binary conversion into AMI code and HDB3 code for transmission; Identifying a digital video signal as a message code; The rules for AMI encoding include: The message code "0" remains unchanged, and the message code "1" is alternately changed to "+1" and "-1"; The rules for HDB3 encoding include: If the number of consecutive 0s does not exceed 3, the encoding rule is the same as the AMI encoding rule, that is, the "0" of the message code remains unchanged, and the "1" of the message code is alternately changed to "+1" and "-1"; If the number of consecutive 0s exceeds 3, every 4 0s are regarded as a section, which is defined as B00V. B can be -1, 0, +1, and V can be -1, +1. V has the same polarity as the previous adjacent non-0 symbol. When V is ignored, the polarity alternates, and the polarity between V and V alternates. The first B is usually 0. If the number of 1s between two B00V is even, the B of the latter must be ±1. If the number of 1s between two B00V is odd, the B of the latter must be 0. The digital video storage module is used to decode and store the encoded digital video signal; The process of decoding a digital video signal includes: If there are three consecutive non-zero pulses before and after "0" with the same polarity, the last non-zero element is interpreted as zero; If there are two consecutive non-zero pulses before and after "0" with the same polarity, both zeros will be interpreted as zero; The process of storing the decoded digital video information includes: The digital video storage module is provided with a search engine, and stores the decoded digital video signal after setting a label; The digital video analysis module includes a traffic condition analysis unit and an emergency analysis unit, which are used to analyze and compare the received digital video information; The traffic condition analysis unit analyzes and compares the received digital video information to determine whether a traffic jam occurs, including the following process: Obtain digital video signals transmitted by all traffic intersection monitoring systems to monitor and analyze the vehicle operation status at traffic intersections; Determine the actual geographic location of each vehicle based on its relative position in the digital video surveillance system; Set a fixed time for the traffic condition analysis unit to perform analysis and comparison; According to the change of relative position of each vehicle in the traffic intersection monitoring system at a fixed time, the average speed of each vehicle at the traffic intersection is calculated; Calculate the estimated time it takes for each vehicle to pass through the traffic intersection based on the average speed of each vehicle at the traffic intersection; Classify traffic congestion levels at traffic intersections based on the estimated time taken for each vehicle to pass through the traffic intersection; The congestion level classification results corresponding to each traffic intersection are transmitted to the digital video control module in real time; The emergency event analysis unit analyzes and compares the received digital video information to determine whether an emergency event has occurred. The process includes: Obtain the classification results of traffic congestion and compare them with the real-time situation of traffic congestion; If there is a phenomenon that the traffic congestion level does not match the real-time traffic congestion level, the traffic intersection will be manually monitored; Extract whether there are emergencies such as car accidents through the digital video information transmitted by the traffic intersection monitoring system, and determine whether the traffic jam is caused by the emergencies; Obtain the alarm calls from citizens facing emergencies, and extract the time and location of the emergencies based on the alarm calls from citizens; The smart city monitoring center obtains the monitoring of the corresponding time and location in the citizens' alarm calls to determine whether the emergency mentioned by the citizens has occurred; If there is an emergency mentioned by the citizens, the corresponding location of the emergency is manually monitored and transmitted to the digital video control module in real time; The digital video control module is used to perform timely control according to the analysis and comparison results of the digital video information; According to the traffic congestion level classification results of the traffic condition analysis unit, for traffic intersections with higher traffic congestion levels, vehicles are arranged to sections with lower traffic congestion levels to reduce congestion and ensure smooth road traffic; According to the manual monitoring of the corresponding locations of the emergency by the emergency analysis unit, the development trend of the emergency is monitored in real time, and the parties involved in the emergency are tracked to provide a reliable basis for the formulation of response plans and decisions; The device terminal module is used to establish a link between the device terminal and the smart city monitoring center; The process of establishing a link between the device terminal and the smart city monitoring center includes: The driver inputs the desired destination on the device terminal, and the smart city monitoring center obtains the driver's departure point through the positioning information of the driver's device terminal, and automatically analyzes at least one driving route from the departure point to the destination; Obtain the traffic congestion level of all driving routes and the estimated time to pass the corresponding driving routes according to the traffic condition analysis unit, and feed back the driving routes and the traffic condition analysis results corresponding to the driving routes to the driver's device terminal; Based on the destination entered by the driver, the smart city monitoring center obtains the camera of the parking lot near the destination and obtains the relevant information of the available parking spaces; According to the available parking spaces selected by the driver, the device terminal automatically changes the destination input by the driver to the parking space selected by the driver, and generates a driving route from the departure point to the parking space; After the driver selects a parking space, the smart city monitoring center obtains the digital video information provided by the camera of the parking space in real time. If the parking space selected by the user is occupied, the smart city monitoring center immediately queries the new nearest parking space to the parking space and replans the driving route; Compared with the prior art, the beneficial effects of the present invention are: the monitoring systems distributed in various corners of the city are converted into digital video signals, which solves the problem of analog video signals and picture quality degradation after long-term storage. At the same time, the monitoring systems in various corners of the city are integrated and analyzed, breaking the information barriers of independent monitoring systems, realizing unified monitoring, management and deployment of the entire city, and making full use of urban resources to realize the coordinated operation of smart cities. BRIEF DESCRIPTION OF THE DRAWINGS

[0006] Figure 1 It is the principle diagram of the present invention; DETAILED DESCRIPTION

[0007] like Figure 1 As shown, a digital video monitoring system based on a smart city includes a smart city monitoring center, wherein the smart city monitoring center is connected to a digital video acquisition module, a digital video transmission module, a digital video storage module, a digital video analysis module, a digital video control module, and a device terminal module; The digital video acquisition module is used to convert the acquired analog video signal into a digital video signal; Analog video is generally used in the field of urban monitoring, but it takes up a lot of resources, is inconvenient to store and retrieve, and is easily interfered by noise during image transmission, resulting in a decrease in image quality. Therefore, the collected analog video signals are converted into digital video signals; The digital video acquisition module collects analog video signals through monitoring systems distributed in every corner of the city; The monitoring systems distributed in every corner of the city have the functions of image and audio acquisition; The image acquisition source includes a camera; The audio collection source includes a microphone; The process of collecting images and audio by the monitoring system includes: The monitoring system is equipped with a camera and a microphone to collect images and audio in the monitoring area in real time, and upload the collected images and audio to the digital video acquisition module; The digital video acquisition module identifies the received images and audio as analog video signals, and converts the analog video signals into digital video signals through sampling, quantization, and encoding; The process of converting analog video signals into digital video signals through sampling, quantization, and encoding includes: Scanning any received video image, and converting the two-dimensional video image into an electrical signal for representation; For the scanned video image, sampling is performed at a certain time interval T to convert the analog video signal that changes continuously with time into a discrete video signal that is discontinuous on the time axis; For the sampled video image, each pixel is hierarchically quantized at equal or unequal intervals to convert the continuously changing amplitude value of the analog video signal into a finite number of discrete amplitude values; For the quantized video image, the analog video signal is converted into a digital video signal for representation using binary or other system rules; For the converted video image, completing the process of converting the analog video signal to the digital video signal; The digital video transmission module is used to transmit the digital video signal through the coaxial cable; The process of transmitting the converted digital video signal over coaxial cable includes: Convert the digital video signal after binary conversion into AMI encoding and HDB3 encoding suitable for long-distance transmission for transmission; Identifying a digital video signal as a message code; The rules for AMI encoding include: The message code "0" remains unchanged, and the message code "1" is alternately changed to "+1" and "-1"; Example

[0008] Message code: 1 0 0 0 0 1 0 0 0 0 1 1 0 0 0 0 1 1; AMI code: +1 0 0 0 0 -1 0 0 0 0 +1 -1 0 0 0 0 +1 -1; Or AMI code: -1 0 0 0 0 +1 0 0 0 0 -1 +1 0 0 0 0 -1 +1; The rules for HDB3 encoding include: If the number of consecutive 0s does not exceed 3, the encoding rule is the same as the AMI encoding rule, that is, the "0" of the message code remains unchanged, and the "1" of the message code is alternately changed to "+1" and "-1"; If the number of consecutive 0s exceeds 3, every 4 0s are regarded as a section, which is defined as B00V. B can be -1, 0, +1, and V can be -1, +1. V has the same polarity as the previous adjacent non-0 symbol. When V is ignored, the polarity alternates, and the polarity between V and V alternates. The first B is usually 0. If the number of 1s between two B00V is even, the B of the latter must be ±1. If the number of 1s between two B00V is odd, the B of the latter must be 0. Example

[0009] Message code: 1 0 0 0 0 1 0 0 0 0 1 1 0 0 0 0 1; AMI code: -1 0 0 0 0 +1 0 0 0 0 -1 +1 0 0 0 0 -1; HDB3 code: -1 0 0 0 -V +1 0 0 0 +V -1 +1 0 0 0 -B 0 0 -V +1; The digital video storage module is used to receive the HDB3-encoded digital video signal, decode it and store it; The decoding rules include: If there are three consecutive non-zero pulses before and after "0" with the same polarity, the last non-zero element will be translated as zero, such as "+1 0 00 +1" is translated as "1 0 0 0 0"; If there are two consecutive non-zero pulses before and after "0" with the same polarity, the two zeros before and after will be translated as zero, such as "-1 0 0 -1" will be translated as "0 0 0 0"; The process of storing the decoded digital video signal includes: The digital video storage module is provided with a search engine; Setting a label for the decoded digital video signal for searching by the digital video storage module; Tags include: location, time; Classifying the digital video signals according to the labels and storing them in the digital video storage module; Compared with analog video signals, which will have a phenomenon of video quality degradation after long-term storage, digital video signals are easy to store for a long time, and by setting up a search engine, it is convenient to perform operations such as query and evidence collection when building a smart city; The digital video analysis module is used to perform real-time and comprehensive analysis and comparison of the received digital video information, and transmit the emergencies found after the analysis and comparison to the digital video control module through the smart city monitoring center; The digital video analysis module includes a traffic condition analysis unit and an emergency analysis unit; The traffic condition analysis unit is used to analyze whether traffic jam occurs through the monitoring system of all traffic intersections; The traffic condition analysis unit obtains the digital video signals transmitted by all traffic intersection monitoring systems and monitors and analyzes the vehicle operation conditions at the traffic intersections; The process of monitoring and analyzing the vehicle operation status at traffic intersections includes: Determine the actual geographic location of each vehicle based on its relative position in the traffic intersection monitoring system; According to the change of relative position of each vehicle in the traffic intersection monitoring system at a fixed time, the average speed of each vehicle at the traffic intersection is calculated; Calculate the estimated time it takes for each vehicle to pass through the traffic intersection based on the average speed of each vehicle at the traffic intersection; The traffic congestion level of the traffic intersection is divided into primary, secondary and tertiary levels according to the estimated time taken by each vehicle to pass through the traffic intersection, and the degree of congestion is divided into primary, secondary and tertiary levels from slight to severe; The congestion level corresponding to each traffic intersection is transmitted to the digital video control module in real time, and the digital video control module processes the traffic condition analysis results; The emergency analysis unit is used to extract whether an emergency situation occurs through the monitoring system in all corners of the city; Emergencies include: traffic accidents, fights, etc. The emergency analysis unit compares the level of traffic congestion with the real-time traffic congestion situation; If there is a phenomenon that the traffic congestion level does not match the real-time traffic congestion level, the traffic intersection will be manually monitored; Extract whether a traffic accident or other emergencies occur through the digital video information transmitted by the traffic intersection monitoring system, and whether the traffic jam is caused by the emergencies; The emergency analysis unit receives the emergency calls from citizens in real time, and extracts the time and location of the emergency according to the emergency calls; The emergency analysis unit obtains monitoring of the corresponding time and location through the smart city monitoring center to determine whether the emergency mentioned by the citizens has occurred; If there is an emergency mentioned by the citizens, the corresponding location is manually monitored and the corresponding location is transmitted to the digital video control module; The digital video control module is used to timely control and process the analysis and comparison results of the digital video analysis module; The digital video control module receives the analysis results of the traffic condition analysis unit and makes timely control; The digital video control module controls the traffic flow on the road based on the real-time monitoring of the traffic intersection. For the traffic intersection with a high degree of congestion, the vehicle is arranged to the section with a lower degree of congestion, which reduces the congestion and ensures the smooth traffic flow on the road, thus realizing the intelligentization of the traffic management of the smart city. The digital video control module receives the comparison results from the emergency analysis unit and makes timely control; The digital video control module monitors the development of emergencies based on real-time monitoring of emergencies, and tracks the parties involved in the emergencies over a large range, for a long time, and from multiple angles, providing a reliable basis for the formulation of response plans and decisions; The digital video control module can reduce the information isolation layer of the smart city, realize the unified monitoring, management and deployment of the entire city, timely deploy personnel to deal with any emergency, make full use of city resources to achieve coordinated operation, and reduce the loss of manpower and material resources; The device terminal module is used to establish a link between the device terminal and the smart city monitoring center; Equipment terminals include: mobile phone smart terminals, vehicle-mounted smart terminals, etc.; The process of establishing a link between the device terminal and the smart city monitoring center includes: After the driver inputs the desired destination on the mobile phone smart terminal or the in-vehicle smart terminal, the smart city monitoring center obtains the driver's departure point through the positioning information of the driver's device terminal. The smart city monitoring center automatically analyzes at least one driving route from the departure point to the destination, and determines the traffic congestion level of all driving routes and the estimated time to pass the corresponding driving route according to the traffic condition analysis unit. Finally, all driving routes and the traffic condition analysis results corresponding to all driving routes are fed back to the driver's device terminal for the driver to choose; The smart city monitoring center automatically obtains the cameras around the parking lot near the destination through the destination input by the driver, and obtains the available parking spaces based on the digital video information uploaded by the cameras around the parking lot. After the driver selects the parking lot and parking space, the driver's device terminal automatically changes the destination input by the driver to the parking space selected by the driver and generates a driving route from the departure point to the parking space; After the driver selects a parking space, the smart city monitoring center obtains digital video information containing the parking space in real time. If the smart city monitoring center detects that the parking space selected by the user is occupied while the driver is driving to the parking space, it will immediately query the new nearest parking space and re-plan the driving route.

[0010] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A digital video surveillance system based on a smart city, comprising a smart city surveillance center, characterized in that: The smart city monitoring center is connected to a digital video acquisition module, a digital video transmission module, a digital video storage module, a digital video analysis module, a digital video control module, and an equipment terminal module; The digital video acquisition module is used to convert the acquired analog video signal into a digital video signal; The digital video transmission module is used to transmit the digital video signal through the coaxial cable; The digital video storage module is used to decode and store the encoded digital video signal; The digital video analysis module includes a traffic condition analysis unit and an emergency analysis unit, which are used to analyze and compare the received digital video information; The digital video control module is used to control the digital video information according to the analysis and comparison results; The device terminal module is used to establish a link between the device terminal and the smart city monitoring center.

2. A digital video surveillance system based on smart city according to claim 1, characterized in that: The process of converting the collected analog video signal into a digital video signal by the digital video acquisition module includes: Scanning the received video image; For the scanned video image, sampling is performed according to the sampling period T; For the sampled video image, hierarchical quantization is performed; For the quantized video image, the analog video signal is converted into a digital video signal for representation.

3. The digital video surveillance system based on smart city according to claim 1 is characterized in that: The process of transmitting the digital video signal through the coaxial cable by the digital video transmission module includes: The digital video signal after binary conversion is converted into AMI encoding and HDB3 encoding for transmission.

4. The digital video control system based on smart city according to claim 1 is characterized in that: The process of decoding and storing the encoded digital video signal by the digital video storage module includes: A search engine is set to decode the digital video signal according to the decoding rule of HDB3 encoding, and a label is set for the decoded digital video signal; Search digital video signals in search engines by tags.

5. The digital video surveillance system based on smart city according to claim 1 is characterized in that: The process of analyzing and comparing the received digital video information by the traffic condition analysis unit includes: Determine the actual geographic location of each vehicle based on its relative position in the digital video surveillance system; Set a fixed time for analyzing the comparison; According to the change of relative position of each vehicle in the traffic intersection monitoring system at a fixed time, the average speed of each vehicle at the traffic intersection is obtained; According to the average speed of each vehicle at the traffic intersection, the estimated time taken for each vehicle to pass through the traffic intersection is obtained; Classify traffic congestion levels at traffic intersections based on the estimated time taken for each vehicle to pass through the traffic intersection; The congestion level classification results corresponding to each traffic intersection are transmitted to the digital video control module in real time.

6. A digital video surveillance system based on smart city according to claim 5, characterized in that: The process of the emergency analysis unit performing real-time, comprehensive analysis and comparison on the received digital video information includes: Obtain the classification results of traffic congestion and compare them with the real-time situation of traffic congestion; If there is a phenomenon that the traffic congestion level does not match the real-time traffic congestion level, the traffic intersection will be manually monitored; Obtain the alarm calls from citizens facing emergencies, and extract the time and location of the emergencies based on the alarm calls from citizens; If there is an emergency mentioned by the citizens, the location corresponding to the emergency is manually monitored and transmitted to the digital video control module in real time.

7. The digital video surveillance system based on smart city according to claim 5 is characterized in that: The control process of the digital video control module according to the analysis and comparison results of the digital video information includes: Arrange vehicles to sections with low traffic congestion levels according to the traffic congestion level classification results of the traffic condition analysis unit; Monitor the corresponding locations of the emergencies according to the emergency analysis unit, monitor the development trend of the emergencies in real time, and track the parties involved in the emergencies.

8. The digital video surveillance system based on smart city according to claim 5 is characterized in that: The process of establishing a link between the device terminal and the smart city monitoring center by the device terminal module includes: The driver inputs the desired destination on the device terminal, obtains the driver's departure point through the positioning information of the driver's device terminal, and generates a driving route; Obtain the traffic congestion level of all driving routes and the estimated time to pass the corresponding driving routes according to the traffic condition analysis unit and feed them back to the driver's equipment terminal; Based on the destination input by the driver, obtain the camera of the parking lot near the destination; The available parking spaces are obtained based on the parking lot cameras, and the destination entered by the driver is changed to the parking space selected by the driver. At the same time, a driving route from the departure point to the parking space is generated.

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