In recent years, with the rapid development of safe cities, intelligent transportation, intelligent buildings and other industries, large integration and large networking have promoted the security industry to enter the era of big data. Today, big data not only serves enterprises, but also becomes a part of social infrastructure. Like water, electricity and roads, it is indispensable in people's lives.
With the development of information technology, data has exploded and accumulated continuously. Internet, Internet of Things, cloud computing, etc. Based on big data, it is subtly changing all aspects of life and infiltrating into various industries and fields.
The development of big data has greatly enriched the commercial activities of society and enterprises, and provided a data source for urban management decision-making. It also provides decision support for improving the quality and efficiency of urban management, protecting the urban ecological environment, and providing decision support for the sustainable development of urban public utilities, rationally coordinating urban related resources, and helping the construction of smart cities.
Industrial application of big data
The security video surveillance industry has developed with the development of safe cities and intelligent transportation, and a new round of smart city construction has also injected vitality into the redevelopment of the security industry. With the continuous expansion of the construction scale of security systems in various places, the security data has expanded rapidly. Due to the lack of appropriate means to use these massive data, the phenomenon of "emphasizing construction and neglecting application" has led to the introduction of the application of security big data in public security and transportation industries:
1) public security law enforcement
In the public security industry, big data applications are everywhere, and there are several business manifestations of big data applications in the public security industry.
Inspection and control business
When a case occurs, it is necessary to check and control the suspected vehicle. Generally, the license plate number is controlled by system comparison to identify the information of bayonet vehicles, but there are problems in this way. When the accused vehicle passes through a bayonet, the interceptor is usually not at the scene. When the interceptor arrived at the scene, the suspected vehicle had escaped and lost the significance of monitoring.
In this case, the effective association between mobile policing and GIS system can be realized, and the interception efficiency can be greatly improved by drawing the escape route and prevention and control identification circle of suspected vehicles in GIS system.
Vehicle foothold analysis business
With the rapid development of the city, the city is getting bigger and bigger, and the road network is becoming more and more complicated. In order to escape the arrest of public security organs quickly, many criminals avoid the main roads of cities (generally speaking, electronic bayonets are installed on the main roads of cities) and flee to crowded communities or remote areas.
In this case, we can build a cloud bayonet to realize the function of bayonet camera, identify massive data with cloud bayonet, and draw the trajectory of suspected vehicles with GIS system, which greatly improves the efficiency of public security handling cases.
Adjoint vehicle analysis
Due to the continuous improvement of public safety awareness, the success rate of criminals' independent criminal behavior has been greatly reduced. Therefore, the criminal behavior in the new period began to show gang crime. When stepping on a crime, criminal gangs usually use multiple cars to improve the success rate.
We can extract vehicles that meet certain conditions (such as vehicle route, vehicle interval time, number of car followers, analysis start-end time range, etc.). ) from the massive data of bayonet vehicles, thus improving the efficiency of case detection. In addition, the public security industry also has security big data applications such as face bayonet and video summarization based on face recognition.
2) Intelligent Transportation
Travel time calculation
Due to the widespread use of electronic dogs, many drivers will take the initiative to slow down when passing through the bayonet. Once they leave the coverage of the bayonet, they will quickly increase their speed and overspeed.
Traditional single-point measurement can't find this speeding behavior, so interval speed measurement can quickly detect illegal behavior, reduce the number of regional bayonet, and save construction costs. When it is found that the same license plate appears at the distant bayonet at the same time, it can also detect the deck vehicles and notify the relevant personnel to intercept and chase.
Traffic flow analysis
For the detection of traffic flow, the traditional way is through geomagnetic and microwave detection, but this kind of detection can only detect the number of vehicles, but not the relevant license plate number, which limits the application scenarios of traditional traffic analysis, and can only intelligently analyze a single road section and cannot form a global traffic analysis.
The bayonet system records more detailed information, such as vehicle number, body color, model, etc. Traffic analysis based on bayonet system can not only calculate the number distribution of motor vehicles in various districts of the city, but also guide the application of travel destination analysis and travel route analysis, and find out the hot spots in the city according to traffic information, which can provide reference for traffic control departments, better optimize the road network mechanism and plan more reasonable road network parameters.
In addition, the intelligent analysis system can be used to deeply analyze and mine the bayonet data, which can not only identify the vehicle license plate number, but also identify the brand and model of the vehicle, whether to affix the annual inspection mark, whether the driver wears a seat belt, whether to make a phone call while driving, etc., and further standardize the vehicle's compliance and safe driving behavior.
Using big data to improve and maintain the level of public safety needs to establish the concept of data culture. Under the new situation, to improve the level of maintaining public safety, it is necessary to cultivate a "data culture" characterized by respecting facts, advocating rationality and paying attention to details. The concepts of refinement, standardization and normalization run through the whole process of public security work, insist on using data to speak, promote the high integration of public security work and big data technology, and make all decision-making arrangements fully supported by data and more scientific.
In recent years, big data technology has been widely used in the field of public security prevention and control in many places in China.
The Public Security Bureau of Jinan City, Shandong Province has built a big data and cloud computing center, which has played an important role in grasping the crime trajectory in real time and predicting crime hotspots.
Ningbo City, Zhejiang Province pioneered the dynamic monitoring platform for hazardous chemicals transport vehicles, which greatly improved the safety supervision level of hazardous chemicals.
Anhui Province innovated the supervision mode and established a supervision information platform for engineering construction based on big data, which made the supervision have no dead ends and achieved good results.
3) Improve the urban emergency system.
Every year, natural disasters, accidents and social emergencies in China cause millions of casualties and hundreds of billions of dollars in economic losses. In the face of emergencies, the government needs to coordinate and dispatch relevant departments to work together, and the traditional single-line or matrix management system has been difficult to cope with emergencies.
Therefore, the practical development of urban emergency management system should include communication dispatching system, voice recording system, video image processing system, urban geographic information system and moving target positioning system, which has the functions of fixed point, positioning and unified dispatching and command. Through these systems, relevant data can be obtained, processed and analyzed, so that emergencies can be quickly responded and handled in a coordinated way.
In the security industry, with the continuous improvement of the resolution of front-end equipment and the continuous expansion of the construction scale of security system, the storage time of video and picture data is getting longer and longer, and the problem of security big data is becoming increasingly prominent. How to store, enjoy and apply data effectively is becoming more and more important. Big data technology has quietly penetrated into various industries and has gradually become a production factor, playing an important role. However, while big data technology improves efficiency and changes lifestyle, the security challenges that follow should be paid more attention.