Multiple Sensor Information Fusion Research Articles

Cyber-resilience for marine navigation by information fusion and change detection

Cyber-resilience is an increasing concern for autonomous navigation of marine vessels. This paper scrutinizes cyber-resilience properties of marine navigation through a prism with three edges: multiple sensor information fusion, diagnosis of not-normal behaviours, and change detection. It proposes a two-stage estimator for diagnosis and mitigation of sensor signals used for coastal navigation. Developing a Likelihood Field approach, the first stage extracts shoreline features from radar and matches them to the electronic navigation chart. The second stage associates buoy and beacon features from the radar with chart information. Using real data logged at sea tests combined with simulated spoofing, the paper verifies the ability to timely diagnose and isolate an attempt to compromise position measurements. A new approach is suggested for high level processing of received data to evaluate their consistency, which is agnostic to the underlying technology of the individual sensory input. A combined generalized likelihood ratio test using both parametric Gaussian modelling and Kernel Density Estimation is suggested and compared with a detector using only either of two. The paper shows how the detection of deviations from nominal behaviour is possible when the navigation sensor is under attack or defects occur.

Innovative Design of Intelligent Detection Equipment for Growth Information of Facilityhorticultural Crops

Intelligent equipment technology for facility horticulture is an urgent need for the development of modern facility agriculture.The intelligent monitoring equipment for greenhouse crop growth information can comprehensively monitor the nutrition, growth and environmental information of crops, and provide a scientific basis for the optimal regulation and control of water, fertilizer and environment in the greenhouse. It is a key equipment for the intelligentization of facility horticulture. This research aims at different growth stages In accordance with the testing needs of different plant-shaped crops and the operational needs of the unstructured environment in the greenhouse, we developed wheeled and tracked crop growth and environmental information monitoring systems that can autonomously cruise in the greenhouse;at the same time, in order to meet the detection needs of large-plant crops, a cantilever type crop information monitoring system has also been developed. This system suspends the multi-sensor detection system through the gimbal and installs it on the orbit track laid on the greenhouse truss. Because the detection position is high, it is realized the cruise monitor of greenhouse plants such as cucumber and tomato. In order to achieve comprehensive detection of crop growth information, a multi-sensor detection system for horticultural crop information has been developed. It uses visible-near-infrared binocular multi-spectral cameras, infrared detection sensors, laser ranging sensors, ambient temperature and humidity and light sensors. through the multiple sensor information fusion, implements the facilities horticulture crops nutrition, growth and the comprehensive monitoring of environmental information. Good application effect has been achieved.

Intelligent Optimization of Solar Air Heating System in Large Scale Construction of and its Application

The monomer thermal performance of solar air collector is the bottleneck problem of the design application of practical engineering. By combining the experimental and theoretical researches, this paper uses the heating load and thermal efficiency of the optimization module at different flow rates, and puts forward the efficiency normalization treatment method; analyzes the heat transfer intensity, heating capacity, thermal efficiency and indoor heating effect of the module under different operation modes; with the microprocessor as the core, sets up the intelligent control system of solar air heating with multiple sensor information fusion; adjust the running state of fan and heating units according to the changes of indoor and outdoor environment in real time. The practical application shows that the intelligent control system can ensure a comfortable indoor environment and improve the thermal efficiency of the system.

Context-Awareness and Learning Fusion Method of Fluid Property Sensor Networks Based on Fuzzy Entropy

Fluid sensor network is very difficult to make context-awareness and learning fusion because there is a variety of complex dynamic uncertainties involved ranging from information redundancy, information complementary, to information instability. This paper introduces a fuzzy entropy method into context-awareness and learning fusion method of fluid property sensor networks. First, the architecture of fluid property sensor network is analyzed, and based on it the context characteristics are described. Second, by the introduction of fuzzy entropy, the learning fusion method of fluid property sensor networks is proposed, where the fusion hierarchy of context information is discussed and the fusion algorithm is also illustrated. Third, an example is presented for verification of the proposed model, where the multiple sensor information fusion based on fuzzy logic analysis method can effectively tackle uncertain information. At last, some interesting conclusions are carried out and future researching directions are also indicated at the end of the paper.

Complicated Manufacturing System Dynamic Measure-Control and Intelligence Diagnosis

As an important mean to ensure machining accuracy, the dynamic measurement and intelligent fault diagnosis technology can be used in aviation manufacturing machine. In recent years, several theoretical results are gotten on weak signal feature extraction, multiple sensor information fusion of early fault identification as well as the set up of embedded online monitoring units. This article is the summary of those results, the existing problems is analyzed, and the trend of the development in this field is also discussed.

A Design of the Intelligent Fire Alarm System Based on CAN Bus

In order to solve the existing automatic fire alarm system shortcomings, such as high rate of false positives and poor reliability, this paper introduces an intelligent fire alarm system in the composition of MCU based on the CAN bus technology. The system, with the control core of STM32F103, uses multiple sensor information fusion technology to realize the fire warning, and adopts the advanced CAN bus technology to realize efficient, reliable and economic connections between the sensor and the fire linkage. Practice shows that the system is of high real-time, accuracy, and can meet the requirements of fire control in buildings.

Target Tracking in Sensor Networks Using Additive Divided Difference Information Filtering Method

This paper represents a new multiple sensor information fusion algorithm in distributed sensor networks using an additive divided difference information filter for nonlinear estimation and tracking applications. The newly proposed multi-sensor fusion algorithm is derived by utilizing an efficient new additive divided difference filtering algorithm with embedding statistical error propagation method into an information filtering architecture. The new additive divided difference information filter achieves not only the accurate nonlinear estimation solution, but also the flexibility of multiple information fusion in distributed sensor networks. Performance comparison of the proposed filter with the nonlinear information filters is demonstrated through a target-tracking application.

Research on Structure Design and Kinematics Equation of Restaurant Service Robot Manipulator

Restaurant service robot integrates multiple sensor information fusion, autonomous mobile robot and human-computer interaction technology, which has a high theoretical value and at the same time, restaurant service robot is able to replace or partially replace the restaurant staff for customer service, which has broad market prospects. This paper describes the design of a restaurant serving service robot manipulator's structure, the bottom using wheeled autonomous mobile platform, the upper arms of a humanoid robot, and gives the kinematics equation

Nonlinear Estimation and Multiple Sensor Fusion Using Unscented Information Filtering

This letter represents a new unscented information filtering algorithm for nonlinear estimation and multiple sensor information fusion. The proposed information fusion algorithm is derived by embedding the unscented transformation method used in the sigma point filter into the extended information filtering architecture. The new information filter achieves not only the accuracy and robustness of the sigma point filter but also the flexibility of the information filter for multiple sensor estimation. Performance comparison of the proposed filter with the extended information filter is demonstrated through a target-tracking simulation study.