CN110751341A - Video planning analysis system and method based on Internet of things - Google Patents
Video planning analysis system and method based on Internet of things Download PDFInfo
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- CN110751341A CN110751341A CN201911037236.1A CN201911037236A CN110751341A CN 110751341 A CN110751341 A CN 110751341A CN 201911037236 A CN201911037236 A CN 201911037236A CN 110751341 A CN110751341 A CN 110751341A
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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Abstract
The invention particularly relates to a video planning analysis system and method based on the Internet of things. The video planning and analyzing system based on the Internet of things comprises an Internet of things terminal information acquisition module, a weather information acquisition module and a big data artificial intelligence operation platform, wherein the Internet of things terminal information acquisition module is used for acquiring road and peripheral accidents, and the Internet of things terminal information acquisition module and the weather information acquisition module are connected to the big data artificial intelligence operation platform through an Internet of things wireless communication module; the big data artificial intelligence operation platform is used for establishing an analysis model, finding out a blind area of an urban video network, realizing intelligent video point selection planning, and further effectively frightening and attacking illegal behaviors. The video planning analysis system and method based on the Internet of things provide scientific and effective new ideas and means for construction and optimization of urban video networks, have the characteristics of intellectualization and automation, can improve the urban management level in a limited way, and promote the development of civilized cities.
Description
Technical Field
The invention relates to the technical field of data analysis, in particular to a video planning analysis system and method based on the Internet of things.
Background
In recent years, the advantages of a digital and networked video monitoring system to a traditional CCTV system are more obvious, and the high standard, openness, integration and flexibility of the system provide a wider development space for the development of the whole security industry. The intelligent video monitoring is one of the leading application development directions in the field of networked video monitoring.
The traditional video planning adopts a manual point selection mode and seriously depends on the experience of planning personnel, so that the urbanization pace of China is continuously accelerated, the demand on video network construction is increased day by day, and the traditional video point selection planning is difficult to adapt to the development of a new form.
Based on the situation, the invention provides a video planning analysis system and method based on the Internet of things. Starting from the actual work of urban video planning, multidimensional data such as accidents, robbery behaviors, illegal driving, illegal behaviors and abnormal weather are comprehensively applied, the places where the accidents, the events and the illegal behaviors occur frequently are analyzed, an artificial intelligence algorithm based on long-term historical data is used for constructing a big data prediction analysis model, and the capacity of planning video places is provided.
Disclosure of Invention
In order to make up for the defects of the prior art, the invention provides a simple and efficient video planning and analyzing system and method based on the Internet of things.
The invention is realized by the following technical scheme:
the utility model provides a video planning analytic system based on thing networking which characterized in that: the intelligent road condition monitoring system comprises an Internet of things terminal information acquisition module, a weather information acquisition module and a big data artificial intelligence operation platform, wherein the Internet of things terminal information acquisition module is used for acquiring road and peripheral accidents, and the Internet of things terminal information acquisition module and the weather information acquisition module are connected to the big data artificial intelligence operation platform through an Internet of things wireless communication module; the big data artificial intelligence operation platform is used for establishing an analysis model, carrying out big data artificial intelligence operation according to the received road and peripheral accident data and weather information data, finding out the regular relation between the road and peripheral accident data and the weather information data, finding out the blind area of the urban video network, realizing intelligent video point selection planning, and further effectively frightening and attacking illegal behaviors.
The invention relates to an analysis method of a video planning analysis system based on the Internet of things, which is characterized by comprising the following steps:
the method comprises the steps that firstly, an internet of things terminal information acquisition module is arranged on the periphery of a road, road and peripheral accident data are acquired, and the acquired road and peripheral accident data are pushed to a big data artificial intelligence operation platform in real time;
secondly, local weather information data are collected through a weather information collecting module, and the collected weather information data are pushed to a big data artificial intelligence operation platform in real time;
thirdly, establishing an analysis model by a big data artificial intelligence operation platform, correcting through actual data, verifying the model, and continuously optimizing to obtain an optimal algorithm;
and fourthly, analyzing and calculating the recent road and surrounding accident data and weather information by using the analysis model to obtain the accident occurrence probability of each road and surrounding, and planning the road and surrounding with higher accident occurrence probability as a key video monitoring area.
In the third step, a big data artificial intelligence operation platform synthesizes multi-dimensional accident data to establish an analysis model, continuously optimizes an algorithm, and finally synthesizes an event score and a weather score to obtain an accident occurrence probability total score; wherein, the event score accounts for 80% of the total accident probability score, and the weather score accounts for 20% of the total accident probability score.
In the third step, the event score is fully divided into 100 scores and consists of an accident score, a robbery score, a driving violation score and an illegal behavior score.
The accident score is based on 30 points when the accident occurrence frequency is more than 15 times within 50 meters of the accident occurrence place; when the accident occurrence frequency is 10-15 times, the score is 20; when the accident occurrence frequency is 5-9 times, 10 points are obtained; the rest are not scored;
the stealing and robbing score is based on 30 points when the accident occurrence place is within 50 meters and the accident occurrence frequency is more than 5 times; when the occurrence frequency of the accidents is 2-4 times, 10 points are obtained; the rest are not scored;
the violation driving scoring basis is that 20 points are obtained when the accident occurrence frequency is more than 10 times within 50 meters of the violation driving place; when the number of the accidents is 5-10, 10 points are obtained; the rest are not scored;
the illegal behavior scoring basis is that 20 points are obtained when the accident occurrence frequency is more than 10 times within 50 meters of the accident occurrence place; when the number of the accidents is 5-10, 10 points are obtained; the rest did not score.
In the third step, the weather score is 100 points, and the weather score is composed of an abnormal rainfall and snow score and an abnormal strong wind score.
The abnormal rainfall and snow score is 50 points according to the area affected by the abnormal rainfall and snow, and the other areas do not score;
the abnormal strong wind score is 50 scores according to the region influenced by the abnormal strong wind with the wind power of more than 8 grades, and the rest regions do not score.
The abnormal weather rainfall and snow influence area is an area where the annual proportion of 12-hour rainfall is greater than 15 mm, or 12-hour snowfall is greater than 3 mm, and is greater than the local annual average total rainfall K1.
And in the fourth step, when the total probability score of the accident occurrence is greater than 60 minutes, the roads and the peripheries of the corresponding areas are planned as key video monitoring areas.
The invention has the beneficial effects that: the video planning analysis system and method based on the Internet of things provide scientific and effective new ideas and means for construction and optimization of urban video networks, have the characteristics of intellectualization and automation, can improve the urban management level in a limited way, and promote the development of civilized cities.
Detailed Description
In order to make the technical problems, technical solutions and advantageous effects to be solved by the present invention more apparent, the present invention is described in detail below with reference to the embodiments. It should be noted that the specific embodiments described herein are only for explaining the present invention and are not used to limit the present invention.
The video planning and analyzing system based on the Internet of things comprises an Internet of things terminal information acquisition module, a weather information acquisition module and a big data artificial intelligence operation platform, wherein the Internet of things terminal information acquisition module is used for acquiring road and peripheral accidents, and the Internet of things terminal information acquisition module and the weather information acquisition module are connected to the big data artificial intelligence operation platform through an Internet of things wireless communication module; the big data artificial intelligence operation platform is used for establishing an analysis model, carrying out big data artificial intelligence operation according to the received road and peripheral accident data and weather information data, finding out the regular relation between the road and peripheral accident data and the weather information data, finding out the blind area of the urban video network, realizing intelligent video point selection planning, and further effectively frightening and attacking illegal behaviors.
The analysis method of the video planning analysis system based on the Internet of things comprises the following steps:
the method comprises the steps that firstly, an internet of things terminal information acquisition module is arranged on the periphery of a road, road and peripheral accident data are acquired, and the acquired road and peripheral accident data are pushed to a big data artificial intelligence operation platform in real time;
secondly, local weather information data are collected through a weather information collecting module, and the collected weather information data are pushed to a big data artificial intelligence operation platform in real time;
thirdly, establishing an analysis model by a big data artificial intelligence operation platform, correcting through actual data, verifying the model, and continuously optimizing to obtain an optimal algorithm;
and fourthly, analyzing and calculating the recent road and surrounding accident data and weather information by using the analysis model to obtain the accident occurrence probability of each road and surrounding, and planning the road and surrounding with higher accident occurrence probability as a key video monitoring area.
In the third step, a big data artificial intelligence operation platform synthesizes multi-dimensional accident data to establish an analysis model, continuously optimizes an algorithm, and finally synthesizes an event score and a weather score to obtain an accident occurrence probability total score; wherein, the event score accounts for 80% of the total accident probability score, and the weather score accounts for 20% of the total accident probability score.
In the third step, the event score is fully divided into 100 scores and consists of an accident score, a robbery score, a driving violation score and an illegal behavior score.
The accident score is based on 30 points when the accident occurrence frequency is more than 15 times within 50 meters of the accident occurrence place; when the accident occurrence frequency is 10-15 times, the score is 20; when the accident occurrence frequency is 5-9 times, 10 points are obtained; the rest are not scored;
the stealing and robbing score is based on 30 points when the accident occurrence place is within 50 meters and the accident occurrence frequency is more than 5 times; when the occurrence frequency of the accidents is 2-4 times, 10 points are obtained; the rest are not scored;
the violation driving scoring basis is that 20 points are obtained when the accident occurrence frequency is more than 10 times within 50 meters of the violation driving place; when the number of the accidents is 5-10, 10 points are obtained; the rest are not scored;
the illegal behavior scoring basis is that 20 points are obtained when the accident occurrence frequency is more than 10 times within 50 meters of the accident occurrence place; when the number of the accidents is 5-10, 10 points are obtained; the rest did not score.
In the third step, the weather score is 100 points, and the weather score is composed of an abnormal rainfall and snow score and an abnormal strong wind score.
The abnormal rainfall and snow score is 50 points according to the area affected by the abnormal rainfall and snow, and the other areas do not score;
the abnormal strong wind score is 50 scores according to the region influenced by the abnormal strong wind with the wind power of more than 8 grades, and the rest regions do not score.
The abnormal weather rainfall and snow influence area is an area where the annual proportion of 12-hour rainfall is greater than 15 mm, or 12-hour snowfall is greater than 3 mm, and is greater than the local annual average total rainfall K1.
And in the fourth step, when the total probability score of the accident occurrence is greater than 60 minutes, the roads and the peripheries of the corresponding areas are planned as key video monitoring areas.
Compared with the prior art, the video planning analysis system and method based on the Internet of things provide scientific and effective new ideas and means for the construction and optimization of the urban video network; the method comprises the steps that urban roads and surrounding accidents are obtained through Internet of things terminals distributed all over the city, comprehensive indexes such as multiple accidents, vehicle robbery, illegal driving, illegal behaviors and pedestrian flow density are comprehensively analyzed in combination with weather factors, blind areas of an urban video network are found through big-data artificial intelligent operation, intelligent video point selection planning is achieved, and then effective deterrence and illegal behaviors are struck; the intelligent city management system has the characteristics of intellectualization and automation, can improve the city management level in a limited way, and promotes the development of civilized cities.
The above-described embodiment is only one specific embodiment of the present invention, and general changes and substitutions by those skilled in the art within the technical scope of the present invention are included in the protection scope of the present invention.
Claims (9)
1. The utility model provides a video planning analytic system based on thing networking which characterized in that: the intelligent road condition monitoring system comprises an Internet of things terminal information acquisition module, a weather information acquisition module and a big data artificial intelligence operation platform, wherein the Internet of things terminal information acquisition module is used for acquiring road and peripheral accidents, and the Internet of things terminal information acquisition module and the weather information acquisition module are connected to the big data artificial intelligence operation platform through an Internet of things wireless communication module; the big data artificial intelligence operation platform is used for establishing an analysis model, carrying out big data artificial intelligence operation according to the received road and peripheral accident data and weather information data, finding out the regular relation between the road and peripheral accident data and the weather information data, finding out the blind area of the urban video network, realizing intelligent video point selection planning, and further effectively frightening and attacking illegal behaviors.
2. The analysis method of the video planning analysis system based on the internet of things according to claim 1, characterized by comprising the following steps:
the method comprises the steps that firstly, an internet of things terminal information acquisition module is arranged on the periphery of a road, road and peripheral accident data are acquired, and the acquired road and peripheral accident data are pushed to a big data artificial intelligence operation platform in real time;
secondly, local weather information data are collected through a weather information collecting module, and the collected weather information data are pushed to a big data artificial intelligence operation platform in real time;
thirdly, establishing an analysis model by a big data artificial intelligence operation platform, correcting through actual data, verifying the model, and continuously optimizing to obtain an optimal algorithm;
and fourthly, analyzing and calculating the recent road and surrounding accident data and weather information by using the analysis model to obtain the accident occurrence probability of each road and surrounding, and planning the road and surrounding with higher accident occurrence probability as a key video monitoring area.
3. The analysis method of the internet of things-based video planning analysis system according to claim 2, wherein: in the third step, a big data artificial intelligence operation platform synthesizes multi-dimensional accident data to establish an analysis model, continuously optimizes an algorithm, and finally synthesizes an event score and a weather score to obtain an accident occurrence probability total score; wherein, the event score accounts for 80% of the total accident probability score, and the weather score accounts for 20% of the total accident probability score.
4. The analysis method of the internet of things-based video planning analysis system according to claim 3, wherein: in the third step, the event score is fully divided into 100 scores and consists of an accident score, a robbery score, a driving violation score and an illegal behavior score.
5. The analysis method of the internet of things-based video planning analysis system according to claim 4, wherein: the accident score is based on 30 points when the accident occurrence frequency is more than 15 times within 50 meters of the accident occurrence place; when the accident occurrence frequency is 10-15 times, the score is 20; when the accident occurrence frequency is 5-9 times, 10 points are obtained; the rest are not scored;
the stealing and robbing score is based on 30 points when the accident occurrence place is within 50 meters and the accident occurrence frequency is more than 5 times; when the occurrence frequency of the accidents is 2-4 times, 10 points are obtained; the rest are not scored;
the violation driving scoring basis is that 20 points are obtained when the accident occurrence frequency is more than 10 times within 50 meters of the violation driving place; when the number of the accidents is 5-10, 10 points are obtained; the rest are not scored;
the illegal behavior scoring basis is that 20 points are obtained when the accident occurrence frequency is more than 10 times within 50 meters of the accident occurrence place; when the number of the accidents is 5-10, 10 points are obtained; the rest did not score.
6. The analysis method of the internet of things-based video planning analysis system according to claim 3, wherein: in the third step, the weather score is 100 points, and the weather score is composed of an abnormal rainfall and snow score and an abnormal strong wind score.
7. The analysis method of the internet of things-based video planning analysis system according to claim 6, wherein: the abnormal rainfall and snow score is 50 points according to the area affected by the abnormal rainfall and snow, and the other areas do not score;
the abnormal strong wind score is 50 scores according to the region influenced by the abnormal strong wind with the wind power of more than 8 grades, and the rest regions do not score.
8. The analysis method of the internet of things-based video planning analysis system according to claim 7, wherein: the abnormal weather rainfall and snow influence area is an area where the annual proportion of 12-hour rainfall is greater than 15 mm, or 12-hour snowfall is greater than 3 mm, and is greater than the local annual average total rainfall K1.
9. The analysis method of the internet of things-based video planning analysis system according to claim 4 or 7, wherein: and in the fourth step, when the total probability score of the accident occurrence is greater than 60 minutes, the roads and the peripheries of the corresponding areas are planned as key video monitoring areas.
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| CN113505713A (en) * | 2021-07-16 | 2021-10-15 | 上海塞嘉电子科技有限公司 | Intelligent video analysis method and system based on airport security management platform |
| CN117689119A (en) * | 2024-02-01 | 2024-03-12 | 浙江蓝宸信息科技有限公司 | Intelligent building site safety supervision method and system based on Internet of things |
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