Research On The Key Technology Of IOT In Economic Forest Management

Applying scientific and technological means to improve the economic forest productivity, economic and environmental benefits to realize the information management of economic forest has become a major research topic in the field of forestry sustainable development. Using wireless sensor networks (WSN) technology for forestry production information collection, management, analysis and decision-making has been the hotspot of information technology research in China. We must first resolve the problem of field environment coverage in the application of foresty wireless sensor network, the coverage is the basis for application of forestry wireless sensor network which reflects the monitoring ability of field environment by using network. Since there were characteristics including large area coverage, signal blockage, heterogeneous planting density, height dynamic in the spot environment, the contradiction among deployment cost, limitation of node energy and network lifetime in the monitoring area does often exist. Modeling of node perception ability and energy dissipating by coverage control method can optimize the network structure and dispatch the node energy consumption reasonably,and prolong network lifetime and service quality by the premise of not influence on the network coverage. Second, the application of wireless sensor networks uses data collection and transmission as core, and therefore we need to design reasonable data acquisition systems and detection and processing methods of abnormal data to guarantee the quality of the wireless sensor network data. We need to consider problems of pertinence and efficiency of data service of wireless sensor networks on the basis of solving the two problems, and provide different levels of service depending on different user types and application scenarios. With the deep research on coverage control method for orchard wireless sensor networks, remote acquisition and transmission control method for orchard data, noise processing method of sensor data of orchard environment, perceptive information and intelligent services for orchard, the paper took information management of economic forest as a goal and orchard management as example, designed the information service platform of orchard management, built cloud service platform system of the information management of economic forest which served the supervisors and producers. This dissertation included the following main contents:(1) The method of coverage control for low energy wireless sensor network oriented to complex occlusion environment for orchard was proposed.Shielding of wireless sensor network signal transmission by fruit tree height and flourish leaves was pronounced, which required the wireless sensor network to carry out the continuous addressing transmission, wasting the network energy greatly, reducing the network service life. The wireless sensor network topology and analysis on layout method, network connectivity optimization based on energy consumption control, other measure methods based on K-coverage control were studied in order to extend the lifetime of wireless sensor networks in orchard. On the basis of the power control CBTC algorithm, the topology power control SCBTC algorithm based on sequence cone was studied in the wireless sensor network environment with the entity cover and distance change, optimizing the energy consumption and extending the network lifetime; The measure method based on K-coverage control from the perspectives of network resource allocation was proposed, a better network connectivity was realized. This study has a technical support role in reducing the deployment cost of large-scale node in orchard, sensor location for specified group, structured layouts, achieving flexible deployment involving tens of thousands of nodes in large-scale distribution network.(2) The acquisition system architecture of sensor data from production environment in orchard and the noise calibration model were put forwardThe acquisition system architecture of sensor data from production environment in orchard that integrates hardware and software into one system including hardware and software of acquisition node was raised. The node hardware including acquisition module, control processing module, wireless communication module and a power conversion module, the node software can achieve three main features:task scheduling,data acquisition and processing and data communication, and the multiple regression model based on local and global smooth calculation as the precondition was proposed to realize the removal and fitting processing of abnormal data from monitoring data, which can perform functions of auxiliary and corrective to inaccurate monitoring data caused by the device itself and environmental factors, and reduce the probability of error due to increase of gross error data. The orchard real-time data acquisition system based on wireless sensor networks belongs to perception layer in the platform system, achieving a simple, practical, low cost, low power orchard environment and real-time data acquisition of orchard environment and soil. The design method of low power consumption can ensure uninterrupted work of orchard for more than two years, the prototype version costs 490 yuan, which is about 40% of the market price.(3) The personalized information services technology based on situational awareness was investigated.The scene of the orchard production was classified and defined reasonably, this paper established user classification model and multi situational awareness recommendation model based on multiple-factor, and realized the intelligent push services in personalized information. In comparison to common retrieval system which did not have the situational awareness and the intelligent push functions, the personalized information services based on situational awareness calculation was able to identify and predict the preferences of user interest, provided the psychological content for users. The correlation of personalized information services and resource push based on situational awareness calculation increased on average by 2.22 times, the accuracy rate increased by 1.34 times.(4) The orchard management information service platform was designedThe adaptive control method of sensing device data access in orchard production environment, exchange method of sensing data based on JSON format, applications for multi-tenant patterns based on SaaS. data organization and the management of platform and visualization technology of front-end application were studied. The information service platform of orchard management was designed to supply data acquisition, production and management, knowledge services, irrigation control and other business functions and to provide the data collection, network transmission, personalized service production field for orchard. The study also explored the orchard low-cost, lease-style information service model. The capital investment in information construction of production base can be reduced by 24 million by using the cloud services model through operation example analysis of platform in this paper, saved 8 people for employment per month, thus providing technical support for orchard scientific management.