Research On The Key Technologies Of Reserved Grain Intelligent Supervision And Audit System

The supervision and audit are the core of our country's grain reserve management,but because of the drawbacks of our grain reserve's supervision and audit system,which led to many illegal affairs, such as empty storage, falsely reporting for moresubsidy, changing the good by the inferior and so on, piling up one after another.These irregularities result in huge economy loss for our nation, which influence ournational macroscopically adjustment and societystability.This text takes the provincial grain reserve's supervision and audit forbackground. It sums up the reasons and mechanism which led to these irregularities,through analyzing the system of our grain reserve supervision and audit. In allusion tothe flaw of the management mechanism and the seriously undeveloping of the audittools, we put forward a new principle for supervision and audit, including theintelligent detection, the whole distance supervision, intelligent audit, evidencesubsistence and subsidizing actually, based on the innovation of calculating tools andthe IT technique applications. We also put forward a countermeasure to perfect thesupervision and audit system, in order to fill up the blank of supervision and carry outthe audit idea.To the three greatest techniques of the supervision and auditor, the auto weighingmeasures, the long range video frequent supervision and proof management, we carryon the analysis and demonstration of its technical implementation. In the aspect ofauto weighing measure, make certain of the way of technical implementation based onmonocular vision, by compare of three technical method, weighing computationmethod, active diagraph method and the method based on image recognition. Thepoint studies the quantity identifies method in different scene, adopting the twodimensional segment method combine hue with threshold value to effectively solvethe problem of boundary confirming and boundary shutting. Then express theboundary by Fourier descriptors. Through the comparison between boundary Fourierdescriptors and hue information with the n-dimensional eigenfunction prioriknowledge, the accurately segment and high reliably recognition were come true,effectively solving the grain quantity's measure. Furthermore, we combine it with motion detection to solve the problem of the distinction of bit stream's dynamic andbatch identitification. In the aspect of long range video frequent supervision, weimprove on the RDP/DP protocol, adopting the method of channel bandwidthdetection and callback of bit streams parameter to confirm the way of bit streams'transfer, and mechanism of retransmission, in order for the entire integrallty arrive. Inthe aspect of bit steams's reserve with database, we combine the way of just reservethe pivotal bit streams with the way of constringent server, saving 99% space. It builtthe unique mapped between bit steam character with a section of bit stream, so as tomake the server and management of bit stream data come tree, through the databasemanagement of bit stream section's character. The management of bit steam are moresafelyand convenience.Finally, this paper presents a video-based, intelligent dynamic reserved grainsupervision and auditing system about the reserved grain.The system is consist of thevideo surveillance systems by the platform system, video image stream databasemanagement systems, dynamic video image recognition systems, identification datamanagement systems, intelligent monitoring and alarm systems.The system uses a single-head dynamic image recognition technology, at thecore of the number of in-kind intelligence detected, achieved a number of long-rangekind of food automatic monitoring and auditing, and the relevant evidence and toretain management.The physical quantity measurement error is less than 3percent.The systems meet regulatory requirements.It's easy to use, reliable and lowercost.