Characteristics Of Large Amount Research Articles

Research and practice of water source heat pump technology in Heyi station

There are some problems in the thermal system of Huabei Oilfield, such as high energy consumption, high operation cost and poor production safety. With more stringent requirements for energy conservation and emission reduction, it is particularly important to replace fuel oil projects and improve the efficiency of heating system.The utilization of waste heat and waste heat resources in Huabei Oilfield and the application conditions of various heat pump technologies were investigated, according to the characteristics of large amount of sewage and high temperature produced by crude oil dehydration in Huabei Oilfield. Aiming at the characteristics of large amount of sewage and high temperature produced by crude oil dehydration in Huabei Oilfield, Pilot Application of Optimized Extracted Water Source Heat Pump Technology, the research results are applied to the the He Yi Station in the third oil production plant, estimating the scale and benefit of saving, finally, the purpose of reducing cost and increasing efficiency is achieved, and the data basis and technical guidance for energy saving renovation of thermal system in the future are improved.

An efficient storage and service method for multi-source merging meteorological big data in cloud environment

With the development of the meteorological IoT (Internet of Things) and meteorological sensing network, the collected multi-source meteorological data have the characteristics of large amount of information, multidimensional and high accuracy. Cloud computing technology has been applied to the storage and service of meteorological big data. Although the constant evolution of big data storage technology is improving the storage and access of meteorological data, storage and service efficiency is still far from meeting multi-source big data requirements. Traditional methods have been used for the storage and service of meteorological data, and a number of problems still persist, such as a lack of unified storage structure, poor scalability, and poor service performance. In this study, an efficient storage and service method for multidimensional meteorological data is designed based on NoSQL big data storage technology and the multidimensional characteristics of meteorological data. In the process of data storage, multidimensional block compression technology and data structures are applied to store and transmit meteorological data. In service, heterogeneous NoSQL common components are designed to improve the heterogeneity of the NoSQL database. The results show that the proposed method has good storage transmission efficiency and versatility, and can effectively improve the efficiency of meteorological data storage and service in meteorological applications.

The image stitching algorithm based on aggregated star groups

The star map has the characteristics of large amount of data and wide angle of view. The star points are displayed as limited pixels on the image and easy to get disturbed by noise, so it is difficult to build a feature model to obtain the complete star map. In this paper, we have revised the OTSU algorithm and extracted the star points accurately according to the characteristics of star point pixels. We are inspired by the idea of compressed perception to break the local spatial relationship of stars, construct the aggregated star group model of relative relationship of local stars, realize the matching and construct the extended model to realize the stitching of wide angle star images. In order to meet the requirements of efficient transmission and storage in the air or on the ground, we have proposed the algorithm of star point storage and mapping. We set up a database with 600 frames of real star images from CCD camera and 600 frames of simulated star images, and the experiments show that our algorithm can compress the data and realize the star image stitching.

Application of large scale multi-source remote sensing data and system implementation

With the development of earth observation technology, more and more ways are available for remote sensing data acquisition. Remote sensing data is characterized by big data. Based on the analysis of the problems in the application of large-scale multi-source remote sensing data, it is summarized that the remote sense data have the characteristics of large amount, multiple sources and inconformity of file format, multiple scale and variety of projection modes, complex structure, and large differences with other fields. The way to solve synergized processing for the large-scale multi-source remote sensing data is put forward, it is carried out in three aspects, including uniform data structure and abstract level, unified subdivision of reference frame for production and management, and distributed high performance processing. Finally, the implementation of multi-source data synergized quantitative remote sensing production system is introduced.

The Integrated Display System in Aircraft Cockpit Based on FPGA

The main research object is the graphics generation and display system based on FPGA, the system is mainly used for the integrated display of aircraft cockpit. The display system has the characteristics of large amount of data, real-time processing in the graphics generation. According to the characters, the paper uses programmable logic device due to FPGA has the advantages of high speed, real time. In order to further improve the efficiency of the system, the paper also designs the ping-pong operation of double SSRAM(Synchronous Static Random Access Memory) at the same time. Through the experiment, the system can run well and achieve the desired objectives.

Using the Analytic Hierarchy Process to Structure the Selection of Techniques for Antibiotic Bacterial Dregs

Antibiotic bacterial dregs with the characteristics of large amount, difficult disposal, potential impacts for the environment, need to be treated or disposed by safe methods. In the present paper, the resource utilization of antibiotic bacterial residues and their treatment and disposal methods have been summarized and reviewed. Based on the analytic hierarchy process (AHP), the reasonable and safe ways to treat antibiotic bacterial dregs have been chosen and compared. The results indicated that the first considered way to treat antibiotic bacterial residues was the compost technology and its weight was 0.2517. Additionally, followed by the anaerobic denitrification, the weight was 0.2215. The result of the study can be used as references for future planning or selection of antibiotic bacterial dregs treatments.

Establishing Universities’ Fixed Assets Network Information Management Platform Based on RFID Technology

The universities’ fixed assets has the characteristics of large amount and wide range of use, which lead to difficulty and intricacy of the assets management, so the original manual, stand-alone model cannot satisfy the needs of modern assets management any more. The automatic identification and related technologies can aid in the configuration of an RFID-based fixed assets management platform in universities, by providing the broadest range of solutions to track the assets in an intelligent and dynamic way, eliminating the traditional information lag, distortion, and discrepancies, etc., thus improving management efficiency and level.