Unit 91388 of the PLA

Zhanjiang, China

Unit 91388 of the PLA

Zhanjiang, China

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Ai R.-F.,Wuhan Naval University of Engineering | Cai Z.-M.,Wuhan Naval University of Engineering | Wang X.-M.,Wuhan Naval University of Engineering | Chen B.-Z.,Unit 91388 of the PLA
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | Year: 2011

Aiming at the demand for real-time processing, the parallel programming method and scheduling stratagem of a sonar system is discussed. A design pattern, which considers the parallel design, scheduling and mapping comprehensively, is constructed from the characteristics of the sonar processing system, such as distributed function, partition in layer and pulsating data flow. First, decomposing in layer, then the system is described by using the directed acyclic graph. Second, the network programming technique is used to build the mathematical model. Then, the entire system is reshaped from low layer to high layer, the system's operation and stratagem is implemented in accordance with scheduling in big granularity, mapping in small granularity and execution in parallel flow. In this pattern an instance is designed. The result shows that it is efficient.


Xie Y.,Wuhan Naval University of Engineering | Yuan B.-C.,Wuhan Naval University of Engineering | Xie H.,Unit 91388 of the PLA
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | Year: 2013

In order to research the problem of torpedo storage reliability during the period of enlistment, according to the information of torpedo operational readiness switch, each failure time at which a fault occurs is estimated by using an interpolation method. Then the operational readiness switch sequence diagram, the actual intact status and failure status sequence diagram and the periodic intact status and failure status sequence diagram are respectively drawn up. Thus the torpedo's storage availability, storage failure rate and storage reliability in different number of years set for enlistment can be computed. An example is presented, and the results show that the proposed method can satisfy the requirement of the engineering application.


Xie Y.,Wuhan Naval University of Engineering | Yuan B.-C.,Wuhan Naval University of Engineering | Xie H.,Unit 91388 of the PLA
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | Year: 2013

How to reasonably estimate torpedo failure time under storage state is an important problem in the research of storage reliability for torpedo. Based on the existing three failure time estimation methods which are used to analyse other weapons, by generating fault flow that fits torpedo failure law under storage state, the torpedo failure time is estimated by applying the three methods, respectively. Further the corresponding storage availability deviation values of three methods are calculated, and useful results are obtained through comparative analysis. An actual example presents that the inspect time method is not applicable for the calculation of torpedo storage reliability, while the equally divided interpolation method and the equally divided center interpolation method can produce good effects. In comparison, the equally divided interpolation method is better, and it can satisfy calculation demand of torpedo storage reality analysis in engineering.


Wang R.,Shandong Agricultural University | Yu Z.,Shandong Agricultural University | Zhao G.,Shandong Agricultural University | Zhou W.,Unit 91388 of the PLA
Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering | Year: 2011

The accurate acquisition of the cultivated land resource information is important in the farmland fertility survey and evaluation. Aiming at the mixed spectral characteristics of the plain-mountain region, Qingzhou county of Shandong province was taken as a case to extract the farmland resources. Based on the experiment of the spectral knowledge classification and the supervised classification, an extraction method for farmland by remote sensing was proposed. On the basis of the accuracy assessment of the supervised classification, the leak pixels were added to the type and the wrong pixels were removed from the type to determine the pixels of each farmland type contained, Then, combing with the spectral characteristics, experience, land utilization condition information, morphology, cultivated land productivity survey data and other background information, the extracted rules of each cultivated land type was established. The results showed that the classification accuracy of this method was high, which could reach up to 88.57%, and the automatic and fast classification with high accuracy of the region was realized. This method can be a reference for the regions with the similar situation.

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