The Research And Application On The Key Technology Of IOT On Urban Lifeline Management

With the development of computer, internet, mobile communication technology, the internet of things(IOT) technique emerges, and has been put into the development strategy of information technology by various countries. In recent years, the IOT technology and the IOT-related industry have been developed rapidly in China, especially in the urban management field. Water supply, drainage, gas, heat and electricity are the important infrastructures of the city development, constitute the foundation of the maintenance of modern urban production and life, which directly affect the normal operation of the city. Therefore, it is necessary to utilize IOT technology to conduct the real-time monitoring for the city operation signs, to improve the management level and prediction, then guarantee the safe and smooth running of the city.Aiming at the key technology of IOT for the urban lifeline, and based on the analysis of the current management situation and the major problems; this dissertation conducts the research on the the following researches by combining with the development of IOT and its key technologies: the selection and design of private network for IOT data, multi-sensor data fusion method and the key technologies of the management of perception equipment, network transmission, application support on the application middleware and components, then apply these research achievements on the IOT demonstration system, which is constructed to monitoring the liquefied petroleum gas. The research has practical guiding significance on the construction and implementation of IOT application demonstration project for urban lifeline real-time monitoring, which provides a stable and reliable data transmission private network; this dissertation provides an efficient and practical multi-sensors data fusion method; provides a group of IOT application middleware architecture and components with ubiquity and convenience. The researches in the dissertation have great application value and practical significance, the main contents are as follows:(1) Researches on the selection and design of private network for IOT data, aiming at the need of the urban lifeline management, the analysis of sensor’s distribution characteristic, the comparison of the 3G technology(WCDMA、CDMA 2000、TD-SCDMA、WMAN), B3 G technology(FDD-LTE、TD-LTE、LTE-A、IEEE 802.16m), Wi Fi Mesh, Mc Wi LL technology etc, and the design of the private network based on TD-LTE technology. Some research are conducted on core network design, network coverage and performance design, detailed design of the access network and network security architecture. Where, 1) EPC core network is designed as all-IP network, the design has the characters of safe and reliable design, support routing optimization and local output, efficient hollow and system capacity, dynamic resource allocation, adaptive retransmission; 2) the optimization and customization of the network coverage and performance design based on the Okumura-Hata model; 3) the access network constructed according to the design utilizes the beam with vehicle technology combining same frequency network and different frequency technology, which could improve the performance of the uplink and downlink, and solve the long-distance transport problems of the data obtained in the sensing layer, provide a full covered, convenient access to the network. This satisfies the IOT application demands of governments at all levels on the urban safe running and emergency management field in Beijing.(2) Researches on multi-sensors data fusion method, take the sensor equipment of the liquefied petroleum gas detection system in the urban lifeline management as research object, some discussions are conducted on the multi-sensors data fusion problem, and according to the analysis of Kalman filtering, bayes estimation, statistical decision theory, evidential reasoning, fuzzy reasoning etc, together with the application characters and control structure of the multi-sensors in liquefied petroleum gas detection system, the weighted average of the data fusion algorithm is adopted as the data fusion method in the liquefied petroleum gas detection system. Take the sensor data of the liquefied petroleum gas detection system as research object, a data fusion method is designed, then deploy this method into the liquefied petroleum gas detection system, and utilize the Carbon dioxide concentration sensor on site as the object to verify the effectiveness and feasibility of the fusion method.(3) Researches on the middleware architecture and the algorithm on data processing layer. The middleware architecture is the key software part of the IOT application, which connects the related hardware device and business application. Aiming at the shielding heterogeneity problems in the demand of the urban management, realize the interoperability and information preprocessing problem. the dissertation mainly conducts researches on the middleware system that is suitable for the urban management detection system. This system could realize the data transmission, filtering, format transformation between various tags and sensors, which has the unified sensing information access standards, and the ability of identifying authentication and secure transmission for the sensing information. More specifically, according to the characteristics of the real-time information collected from the(liquefied petroleum gas) LPG monitoring system, an improved data compression method based on SDT, recorded as ISDT is proposed to the compress the history data base so as to improve the efficiency of data query and process, the simulation experiment and application on the real system verifies the effectiveness of the improved algorithm.(4) The demonstrate application of liquefied petroleum gas detection system, this system is the real-time detection project on urban lifeline, of which the design is started with the problems in the liquefied petroleum gas detection in Beijing. Aiming at these weaknesses, some detailed work is conducted on the functional and performance demands of the system, the user analysis, data analysis and some other demands analysis. This section is mainly demand-driven, where the design of the demonstrate system is undertaken from the overall architecture, software architecture, network architecture, data flow, terminal and interface, system security etc. The achievements of the demonstrate project is the combination of the selection, design of private network for IOT data, the multi-sensors method and the middleware design of IOT application, which provides important experience for the further improvements...