CN112258835A - Intelligent traffic system based on cloud side end fusion technology - Google Patents
Intelligent traffic system based on cloud side end fusion technology Download PDFInfo
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- CN112258835A CN112258835A CN202011052385.8A CN202011052385A CN112258835A CN 112258835 A CN112258835 A CN 112258835A CN 202011052385 A CN202011052385 A CN 202011052385A CN 112258835 A CN112258835 A CN 112258835A
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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Abstract
The utility model provides a wisdom traffic system based on cloud limit end fuses technique, includes equipment side part, edge side part and high in the clouds side part, equipment side part includes multisensor object identification and data processing module and multisensor data push module, the edge side part includes multisensor data processing and fuses module and data statistics and incident judgement module, the high in the clouds side part includes data persistence module, data push module and data platform module. The invention provides an intelligent traffic system based on a cloud edge-end fusion technology, which is a system which can play a role in a large range and all around and is established by applying the system to the whole ground traffic management system, and is real-time, accurate and efficient.
Description
Technical Field
The invention relates to a smart traffic system based on a cloud side-end fusion technology, which is based on data fusion aiming at a terminal cluster, edge computing and cloud computing and carries out statistics and judgment aiming at the fused data.
Background
The radar monitoring system can detect a long-distance target in the daytime and at night, has certain penetrating power, is not blocked by fog, cloud and rain, and has the characteristics of all weather and all day long.
The video monitoring system consists of a camera, a transmission part, a control part and the like. The video camera transmits video images to the control host through the network cable and the optical fiber, and the control host distributes video signals to all video equipment. Through the control host, operating personnel can send the instruction, control the cloud platform and carry out the operation of focusing zoom to the lens to the switching between multichannel camera and cloud platform is realized to the accessible control host. By using a special video recording processing mode, the operations such as recording, playback, processing and the like can be carried out on the images. The image pickup apparatus can recognize a passing pedestrian and a vehicle, and can count the number of the passing pedestrian or the vehicle. Meanwhile, the functions of vehicle speed measurement, reverse running alarm and the like can be realized through calculation.
The video monitoring system is identified based on the images of the camera, the quality of the images shot by the camera is depended, the image quality is poor in long distance, natural weather with low visibility such as rain, snow and fog, lines such as night, the success rate of identification is greatly reduced, the video monitoring system cannot realize due functions, and the video monitoring system does not have all-weather and all-day capability.
Disclosure of Invention
In order to overcome the defects of the existing intelligent traffic system, the invention provides the intelligent traffic system based on the cloud edge-end fusion technology, which is a system which is established by applying the whole ground traffic management system and plays a role in a large range in an all-round way, and is real-time, accurate and efficient.
The technical scheme adopted by the invention for solving the technical problems is as follows:
a smart traffic system based on a cloud side-end fusion technology comprises a device side part, an edge side part and a cloud side part, wherein the device side part comprises a multi-sensor object recognition and data processing module and a multi-sensor data pushing module, the edge side part comprises a multi-sensor data processing and fusion module and a data statistics and event judgment module, and the cloud side part comprises a data persistence module, a data pushing module and a data platform module;
the method comprises the steps that on the basis of a terminal sensor cluster, data pushing is carried out through multi-sensor object recognition and data processing of an equipment end side part, data are obtained by an edge side part, preprocessing and fusion operation are carried out on the data, data grouping and data fusion are carried out on radar data and video monitoring data terminal data, and equipment data of a single point location and upstream and downstream equipment data are fused to form regional data; the method comprises the steps of carrying out multithread operation on data, simultaneously carrying out a series of traffic data such as data flow statistics, data speed statistics, event judgment, road condition judgment and the like, sending the traffic data to a cloud end for persistent storage in a database, simultaneously pushing the traffic data to systems such as an APP (application), a third-party system and a mobile terminal for use with equipment, carrying out system configuration, equipment configuration, authority setting and user creation operation on a management background, and finally displaying all intelligent traffic system data in a data display large screen.
Further, in the multi-sensor object identification and data processing module, original sensor data are obtained from sensor equipment, data exceeding the area in the original data are filtered and removed, edge detection is carried out on data in the area, object identification is carried out on closed data, historical data tracking is carried out on the identified object, and the tracked data are structurally cached for next data tracking.
Still further, in the multisensor data propelling movement module, equipment propelling movement has two kinds of modes, and the mode is pulled passively: after receiving a pulling request of an acquisition module, returning corresponding data according to different data requests; and in the active pushing mode, after the acquisition module establishes long connection, data is actively pushed to the acquisition module according to an appointed time interval.
Furthermore, in the multi-sensor data processing and fusion module, all equipment information is acquired through configuration of a configuration center, connection with equipment is established, equipment data is received, the equipment is unpacked, whether data preprocessing is needed or not is judged, the data is integrated, unified processing is performed for meeting system differences caused by different equipment data structure inconsistency, unified use in a system is facilitated, data grouping and data fusion are performed on radar data and video monitoring data, equipment data of a single point location and upstream and downstream equipment data are fused, and regional fusion data, radar fusion data and non-fused integration data are formed.
In the data statistics and event judgment module, after the data is received, a data processing mode is obtained through a configuration center, multi-thread operation is carried out, and data generation is carried out through the configuration and simultaneous data flow statistics, data speed statistics, event judgment, road condition judgment and other algorithms, so that traffic data such as flow data, speed data, event data, road condition data and the like are finally obtained.
Among the data propelling movement module, this module is mainly used for outside supporting system, for example cell-phone APP, handheld alert mobile terminal and third party platform are practical, and main propelling movement mode has two kinds, is real-time propelling movement and timing propelling movement respectively, carries out the unable propelling movement mode according to the data type, selects the propelling movement mode to different receiving terminals simultaneously, and the propelling movement mode of practicality difference carries out data propelling movement.
In the data platform module, the data platform mainly comprises two blocks which are respectively a management background, wherein the data platform comprises functions of organization architecture, equipment configuration, menu management, user management, statistical data query, event data query, road condition data query and the like, and is mainly used for setting and configuring the whole platform and querying and exporting historical data; the data display large screen comprises the functions of map display, road section monitoring, flow rate comparison, speed comparison, road information carousel, road abnormal carousel, congested road sequencing, road event sequencing, event alarm, event list, event processing and the like, is mainly used for displaying all states of roads of the whole intelligent traffic system, and is convenient, intuitive and clear to obtain traffic conditions in an area.
The technical conception of the invention is as follows: the advantages of the radar monitoring system and the video monitoring system are complementary, and the data of the two monitoring systems are fused. Meanwhile, aiming at the defects of single point location and data non-intercommunication of equipment, the cluster data of all types of equipment on the same road are integrated and fused in a system to form fused data of points, lines and planes, the downstream state can be adjusted in real time according to upstream data, and the downstream equipment is controlled to prepare in advance and report early warning information. The traffic data such as the traffic state, the traffic index and the like in the area can be displayed.
The invention has the following beneficial effects: the system is established by applying the whole ground traffic management system, plays a role in a large range in all directions, and is real-time, accurate and efficient.
Drawings
Fig. 1 is an overall architecture diagram of a smart transportation system based on cloud-edge fusion technology.
FIG. 2 is a multi-sensor object identification and data processing flow diagram.
Fig. 3 is a multi-sensor data push flow diagram.
FIG. 4 is a multi-sensor data processing and fusion flow diagram.
FIG. 5 is a flow chart of data statistics and event determination.
Fig. 6 is a data push flow diagram.
FIG. 7 is a flow diagram of a data platform module.
Detailed Description
The invention is further described below with reference to the accompanying drawings.
Referring to fig. 1 to 7, a smart traffic system based on a cloud-side-end fusion technology includes an equipment-side portion, an edge-side portion and a cloud-side portion, where the equipment-side portion includes a multi-sensor object recognition and data processing module and a multi-sensor data pushing module, the edge-side portion includes a multi-sensor data processing and fusion module and a data statistics and event judgment module, and the cloud-side portion includes a data persistence module, a data pushing module and a data platform module;
the method comprises the steps that on the basis of a terminal sensor cluster, data pushing is carried out through multi-sensor object recognition and data processing of an equipment end side part, data are obtained by an edge side part, preprocessing and fusion operation are carried out on the data, data grouping and data fusion are carried out on radar data and video monitoring data terminal data, and equipment data of a single point location and upstream and downstream equipment data are fused to form regional data; the method comprises the steps of carrying out multithread operation on data, simultaneously carrying out a series of traffic data such as data flow statistics, data speed statistics, event judgment, road condition judgment and the like, sending the traffic data to a cloud end for persistent storage in a database, simultaneously pushing the traffic data to systems such as an APP (application), a third-party system and a mobile terminal for use with equipment, carrying out system configuration, equipment configuration, authority setting and user creation operation on a management background, and finally displaying all intelligent traffic system data in a data display large screen.
Referring to fig. 2, in the multi-sensor object identification and data processing module, raw sensor data is acquired from a sensor device, data exceeding an area in the raw data is filtered and removed, edge detection is performed on data in the area, object identification is performed on closed data, historical data tracking is performed on an identified object, and the tracked data is structurally cached for next data tracking.
Referring to fig. 3, in the multi-sensor data pushing module, there are two modes for device pushing, a passive pulling mode: after receiving a pulling request of an acquisition module, returning corresponding data according to different data requests; and in the active pushing mode, after the acquisition module establishes long connection, data is actively pushed to the acquisition module according to an appointed time interval.
Referring to fig. 4, in the multi-sensor data processing and fusion module, all device information is acquired through configuration of a configuration center, connection with a device is established, device data is received, unpacking of the device is performed, whether data preprocessing is needed or not is judged, the data is integrated, unified processing is performed for meeting system differences caused by inconsistency of data structures of different devices, unified use in a system is facilitated, data grouping and data fusion are performed for radar data and video monitoring data, and device data of a single point location and upstream and downstream device data are fused to form regional fusion data, radar fusion data and non-fused integration data.
Referring to fig. 5, in the data statistics and event judgment module, after receiving the number, the data processing mode is obtained through the configuration center, multi-thread operation is performed, and algorithms such as data traffic statistics, data speed statistics, event judgment, road condition judgment and the like are performed at the same time through configuration to generate data, so that traffic data such as traffic data, speed data, event data, road condition data and the like are finally obtained, and the data are transmitted to the relevant modules.
Referring to fig. 6, in the data push module, this module is mainly used for external supporting systems, for example, mobile phone APP, handheld police mobile terminal, and third party platform are practical, and there are two main push modes, which are real-time push and timing push respectively, and according to the data type, the non-communication push mode is performed, and meanwhile, the push mode is selected for different receiving terminals, and the data push is performed in different practical push modes.
Referring to fig. 7, in the data platform module, the data platform mainly has two blocks, which are respectively a management background, including functions of organization architecture, device configuration, menu management, user management, statistical data query, event data query, road condition data query, and the like, and is mainly used for setting and configuring the whole platform and querying and exporting historical data; the data display large screen comprises the functions of map display, road section monitoring, flow rate comparison, speed comparison, road information carousel, road abnormal carousel, congested road sequencing, road event sequencing, event alarm, event list, event processing and the like, is mainly used for displaying all states of roads of the whole intelligent traffic system, and is convenient, intuitive and clear to obtain traffic conditions in an area.
The embodiments described in this specification are merely illustrative of implementations of the inventive concepts, which are intended for purposes of illustration only. The scope of the present invention should not be construed as being limited to the particular forms set forth in the examples, but rather as being defined by the claims and the equivalents thereof which can occur to those skilled in the art upon consideration of the present inventive concept.
Claims (7)
1. The intelligent traffic system based on the cloud side-end fusion technology is characterized by comprising an equipment side part, an edge side part and a cloud side part, wherein the equipment side part comprises a multi-sensor object recognition and data processing module and a multi-sensor data pushing module, the edge side part comprises a multi-sensor data processing and fusion module and a data statistics and event judgment module, and the cloud side part comprises a data persistence module, a data pushing module and a data platform module;
the method comprises the steps that on the basis of a terminal sensor cluster, data pushing is carried out through multi-sensor object recognition and data processing of an equipment end side part, data are obtained by an edge side part, preprocessing and fusion operation are carried out on the data, data grouping and data fusion are carried out on radar data and video monitoring data terminal data, and equipment data of a single point location and upstream and downstream equipment data are fused to form regional data; the method comprises the steps of carrying out multithread operation on data, simultaneously carrying out a series of traffic data such as data flow statistics, data speed statistics, event judgment, road condition judgment and the like, sending the traffic data to a cloud end for persistent storage in a database, simultaneously pushing the traffic data to systems such as an APP (application), a third-party system and a mobile terminal for use with equipment, carrying out system configuration, equipment configuration, authority setting and user creation operation on a management background, and finally displaying all intelligent traffic system data in a data display large screen.
2. The intelligent transportation system based on cloud edge-end fusion technology as claimed in claim 1, wherein in the multi-sensor object recognition and data processing module, raw sensor data is obtained from sensor devices, data beyond the region in the raw data is filtered and removed, edge detection is performed on data in the region, closed data is subjected to object recognition, the recognized object is subjected to historical data tracking, and the tracked data is structurally cached for next data tracking.
3. The intelligent transportation system based on the cloud-edge-end fusion technology as claimed in claim 1 or 2, wherein in the multi-sensor data pushing module, there are two modes for device pushing, namely a passive pulling mode: after receiving a pulling request of an acquisition module, returning corresponding data according to different data requests; and in the active pushing mode, after the acquisition module establishes long connection, data is actively pushed to the acquisition module according to an appointed time interval.
4. The intelligent transportation system based on the cloud-edge-end fusion technology as claimed in claim 1 or 2, wherein in the multi-sensor data processing and fusion module, all device information is obtained through configuration of a configuration center, connection with devices is established, device data is received, the devices are unpacked, whether data preprocessing is needed or not is judged, the data are integrated, unified processing is performed for system differences caused by different device data structures being inconsistent, unified use in the system is facilitated, data grouping and data fusion are performed for radar data and video monitoring data, and device data of a single point location and upstream and downstream device data are fused to form regional fusion data, radar fusion data and unfused integration data.
5. The intelligent transportation system based on the cloud-edge-end fusion technology as claimed in claim 1 or 2, wherein in the data statistics and event judgment module, after receiving the number, a data processing mode is obtained through a configuration center, multi-thread operation is performed, data generation is performed through configuration while data flow statistics, data speed statistics, event judgment and road condition judgment, and finally traffic data such as flow data, speed data, event data and road condition data are obtained.
6. The system according to claim 1 or 2, wherein the data pushing module is used in an external supporting system, and the pushing modes include two types, namely real-time pushing and timed pushing, and the non-communication pushing mode is performed according to the data type, and the pushing mode is selected for different receiving terminals, so that data pushing is performed by using different pushing modes.
7. The intelligent transportation system based on the cloud-edge-end fusion technology as claimed in claim 1 or 2, wherein in the data platform module, the data platform comprises a management background and a data display large screen, and the management background comprises an organization framework, equipment configuration, menu management, user management, statistical data query, event data query and road condition data query, and is used for setting and configuring the whole platform and querying and exporting historical data; the data display large screen comprises map display, road section monitoring, flow rate comparison, speed comparison, road information carousel, road abnormal carousel, congested road sequencing, road event sequencing, event alarm, event list and event processing, and is used for displaying all states of roads of the whole intelligent traffic system.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113096393A (en) * | 2021-03-29 | 2021-07-09 | 中移智行网络科技有限公司 | Road condition early warning method and device and edge cloud equipment |
| CN114140904A (en) * | 2021-10-15 | 2022-03-04 | 启明信息技术股份有限公司 | Cloud platform system for vehicle product data tracking |
| CN114664092A (en) * | 2022-05-18 | 2022-06-24 | 阿里巴巴达摩院(杭州)科技有限公司 | Traffic event detection system, event detection method and device |
| CN115440047A (en) * | 2022-09-14 | 2022-12-06 | 甘肃新视能科技有限公司 | Intelligent traffic system based on cloud side end fusion technology |
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