The increase in the number of private cars as well as non-standard parked behavior has brought great pressure to campus traffic. In order to control this non-standard parked behavior, orderly and reasonable guide and regulate owners to develop good parking habits, we design a vehicle parking violation notification system. A system is designed in the article to record illegal parking information of vehicles. A working principle of this system is that a wireless MMS image terminal captures image information of illegal vehicles, and real-time transmits the captured image information to the Data Center Computer in Security Department of the school through the GPRS network, so as to achieve illegal vehicle information is timely recorded and notified. Meanwhile, outside campus of illegal vehicles will be warned or limited its re-enter the campus. After a year of work and testing, the entire system is stable, and the image information transmission failure rate is very low. Illegal parking behavior on campus has been significantly curbed, and traffic order has been significantly improved.

The Yellow River Delta National Agricultural Science and Technology Park proposed the concept of "One Zone One Hundred Parks", namely the Yellow River Delta National Agricultural Science and Technology Park consists of a hundred geographically dispersed agricultural technology demonstration park. In order to effectively provide intellectual support for these geographically dispersed agricultural technology demonstration parks, this paper presents the design and the idea of remote crop image capture and expert systems. The core idea is to set up image collection terminals in a decentralized agricultural technology demonstration park. Crop samples are collected by the terminals, using GPRS network to transfer the captured image data to the Key Laboratory of Agricultural Bioengineering. Agricultural experts make an analysis to image samples, and propose treatment advice. And then, the experts feedback the advice to the various agricultural technology demonstration parks. After a year of testing, the entire system is reliable, excellent performance in real-time transmission of images. This system has played a very important role in the prevention and control of crop pests and crop growth guidance.

Because the extensive management of the tradational agriculture hinders the development of the agriculture,we advise the system based on the inteent of things,which design and implent the crop growing enviornment.This article describes the meaning and the functions of the system in details,which also describes the architecture ,hardware components and software design.The design of the system promotes the rapid development of the precision agriculture.

For the design of storagebox control system supplied to fixed customers , this paper presents the designideas that the storage box controlsystem based on fingerprint identification.The core design philosophy is basedon the PC as the core, connecting the fingerprint recognition module and thepower locks array control systems through two com ports. through the smalldatabase system on the PC, it can manage the two moduls effectively.When theuser's fingerprint match, the fingerprint identification module returns to thePC a finger signal,the small datebase will correct the electricity lock of theusers,PC then transmit this signal to MCU,then it starts the appropriateelectricity lock.After a long time operating ,this system can works much stableand reliable.

In order to grasp the whole growth process of breeding cotton and establish the growth records of breeding cotton, the article proposes the design of breeding cotton growth management system based on MMS. The main idea is that field image acquisition terminals capture a live image in breeding cotton plots at a specific time every day, and send the live image to the monitoring center through the GPRS networks, then breeding cotton experts write cotton growth log and propose the next management advice for cotton based on the returned live image. At the same time, all the information will be written to the database in the monitoring center. The application of the system is able to not only save manpower costs, by tracking and analyzing the whole growth process of breeding cotton, but also summarize the successful breeding experience and failures. At the same time, the application of the system promotes cotton breeding and cotton management more scientific. After the actual testing, the system works stable and reliable, and meets the design requirements.