The rapid development of the Internet is based on the high-performance and scalable computer network architecture for promoting safe campus construction through informationization. With the technologies of Internet of Things, cloud computing and data mining, video surveillance, perimeter alarm, access control management, Vehicle management, fire alarm linkage, security management and other subsystems are integrated to achieve functional management functions such as behavior analysis, traffic analysis, campus anti-terrorism, fire safety, etc., starting from point, line, surface, and commanding heights, reducing blind spots and breaking The traditional security concept changes the post-processing mechanism to prevent prevention, effectively improve the campus security and management level, and ensure the safe, orderly progress of the students' learning, life and work on campus, and provide students with healthy and happy growth.
"Internet + safe campus" construction
With the advent of the era of big data, cloud computing, with its on-demand computing, mass storage, cloud services and other features, has deepened the mining, diversification, and rapidization of big data basic information, giving full play to the Internet in the production factor configuration. The end-optimization and integration function integrates the Internet thinking and operation model into the university business and enhances the innovation of the university. In the process of building a safe campus, the “Internet +†and big data cloud computing technologies are integrated into it, and finally the realization of the smart campus is one of the goals of future university development planning. Through the large amount of data accumulated by various information systems and platforms in the school, combined with the daily practical work experience of the school, make decisions on campus operation management, resource scheduling, business activities, etc., through the virtual image of the school, acting on the physical campus to realize the campus. Smart management, building a smart and safe campus.
Big data processing includes context search, data warehousing, and Hadoop systems. The Hadoop system is a distributed infrastructure that implements a distributed file system suitable for large data sets, ie big data, and can analyze structured and unstructured information at the PB level in a cost-effective manner. Visualize the results of collecting, extracting, and exploring the processing of big data with the best combination of visualizations. Data analysis includes BI report, predictive analysis, content analysis, and assistant decision analysis. Through these data analysis functions, the scene analysis of the safe campus is supported, as shown in Figure 1.
"Internet + Safe Campus" application scenario
Student psychological security early warning monitoring
In recent years, some colleges and universities have frequently issued student safety accidents. The causes of these safety accidents are mostly related to the psychological problems of students. If we can pay more attention to this part of the students according to some abnormal behaviors in the early stage of the students, and timely guidance, it can largely avoid the occurrence of tragedy.
As shown in Figure 2, establish a multi-faceted early warning monitoring mechanism for student-counselor-psychologists. Some early warning mechanisms are set to track the behavior of students. When a student touches the warning line, the system will automatically send the student an early warning. Students can go to the information consultation room to make an appointment, and the consultant can check the behavior track of the student in the past, and conduct more targeted counseling.
According to the demand, the system constructs the psychological early warning monitoring system from the following aspects, including the following aspects: 1. The night scene of the dormitory is early warning, the dormitory of the university has the habit of turning off the lights and closing the dormitory. The students are also aware of such regulations. So there are very few students who will return to the dormitory after the early hours of the morning. If you find that a student often returns late, you need to pay attention. 2. Network sensitive word warning scenes, through the network monitoring system, set some sensitive words, if a student is found to frequently search for such information, report this situation to the counselor in a timely manner. 3. Learning to return to the early warning scene, the deterioration of academic performance is usually caused by some other factors, including emotional factors, family factors, physical factors, mental state, etc. This part of the data is usually very straightforward and can be directly quantified. The accuracy rate is high, so it can be used as an important basis for the reference of students' psychological state.
College traffic safety warning
Scenario 1: School vehicle violations and traffic analysis and warning
Figure 3 is a school vehicle violation and traffic analysis system, which is mainly based on the school intelligent traffic management system, based on the various data collected from it, the data source is listed in point 2 above. Every day, a large amount of data is stored in the server, including some structured data (such as vehicle entry and exit information, speeding information) and unstructured data (such as vehicle captures). The analysis and utilization of these data can greatly improve our management efficiency, and predict the traffic situation that may occur in advance, mainly starting from the following aspects.
Some traffic monitoring cameras are placed at key locations in the school, and the traffic value N of a location within 30 minutes can be captured at any time. We set the thresholds L, H for two traffic flows, when N
Then observe the traffic flow curve of the monitoring point 2 during the same period from 6 o'clock to 12 o'clock. As shown in Figure 5, the traffic volume of the monitoring point is relatively stable, basically between 30 and 50, and when it is long, it reaches the yellow area at 11:30.
Combining the data of these two detection points, a preliminary adjustment strategy can be made, that is, during the peak period, the social vehicles can be bypassed as close as possible to the monitoring point 2, and the slowdown is set near the monitoring point 1. , pedestrian attention and other signs.
In addition, when it is found that the traffic volume of a certain monitoring point area is abnormally increased at a certain time, an alarm is issued in time to notify the traffic control personnel of the security department to go to the scene for command.
Scenario 2: Vehicle Blacklist Tracking System
A vehicle blacklist tracking system can be designed. When a car enters the campus, all its behaviors are recorded in the database, including the license plate number, the time of entering and leaving the school, the speeding situation, and the accident situation. Statistics are carried out once a month, and some vehicles with violation frequency (such as severe speeding, frequent speeding, and frequent accidents) are blacklisted. The school staff will contact the unit to criticize and educate them in time, when the social personnel enter the school again. Reminder warning. If you repeatedly teach, you will not be eligible to cancel your entry into the campus.
In the era of "Internet +", the construction of a safe campus can not only rely on traditional means, but informationization has become its future development direction, and it is also the only way for the "safe campus" to be realized. At this stage, the realization of the "safe campus" informatization construction needs to be implemented in the following aspects:
First, the information construction of “Safe Campus†is in urgent need of overall planning. The "safe campus" information construction is a systematic project. School administrators must not only have a clean understanding of the "safe campus" information construction, but also provide a top-level design for the "safe campus" information construction, according to the Internet. With rapid development, “Internet+†has become the beginning and development trend of good cooperation between business departments and informationization departments, effectively helping the school business sector to provide good support for scientific development.
Second, the information construction of “Safe Campus†needs to establish a long-term mechanism. The information construction of “Safe Campus†can not be completed overnight. This project requires long-term promotion and cooperation. With Internet technology and big data technology, it provides better technical means for school security issues, breaks traditional security measures and changes the past. Security matters are steadily moving toward the mechanism of “early discovery†and “early treatment†to correct problems and problems. Therefore, through technical means, on the one hand, schools should guarantee the long-term recommendation and long-term construction of the informationization of “Safe Campus†from the institutional level, and form changes in various aspects such as informatization to promote teaching and research, foreign exchange and cooperation, and actively promote informatization. The deep integration of construction and school construction. (The author unit is the University of International Business and Economics)
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