Internet of Things (IoT) using LoRa technology has been widely used in many fields. One of them is in disaster mitigation and management. This paper presents sensor nodes as part of a Flood Early Warning System using ...
Internet of Things (IoT) using LoRa technology has been widely used in many fields. One of them is in disaster mitigation and management. This paper presents sensor nodes as part of a Flood Early Warning System using LoRa technology. The node consists of a water level sensor and a water flow meter. Water level measurements were carried out by ultrasonic sensors HY-SRF05, and the speed of water flow is measured by water flow meter YF-S201. Communication between the nodes and the gateway is done by the BsFrance Lora32u4 II v1.4 Wireless Transceiver module. data regarding the height of the water level and speed of water flow will be measured by the sensor and sent by the LoRa device to the gateway. The gateway then forwards that data to an open-source IoT platform for analysis and visualization. Testing ultrasonic sensor readings get an accuracy of 97.06%. Waterflow sensor testing obtained 91.96% accuracy. In addition to testing the measurement accuracy, data transmission consistency is also tested against the distance between the gateway and the node. The test results show that the data can still be sent at a space between the node and the gateway below 400 m. Above 400m, the data cannot be received by the gateway anymore. Testing delay time between reading data and receiving data on the IoT platform shows the average delivery delay of 0 ms.
sensors are often used in plant detection for data collection and then analyzed for detection purposes. However, sensors have uncertainties in detecting plants of different species and different growth cycles. Early f...
sensors are often used in plant detection for data collection and then analyzed for detection purposes. However, sensors have uncertainties in detecting plants of different species and different growth cycles. Early fusion, which fuses at the input, and late fusion, which fuses at the output, have been proposed in the past. These two methods fuse data from multiple sensors together for analysis and detection. The multi-sensordata fusion approach can effectively improve the detection performance, accuracy and stability. A deep fusion network architecture is employed to fuse multi-sensordata at an intermediate layer of feature transformation for fusion and optimization through auxiliary path loss. This model interacts the multi-sensordata multiple times to better fuse the individual features together for judgment. The validation results of this network architecture on the KITTI dataset show that deep fusion detection outperforms early fusion detection and late fusion detection by 0.5% in the radar and visual based data fusion approach, and the addition of the auxiliary path loss produces a 1% optimization effect on the performance of the network architecture for deep fusion.
Intelligent wind park monitoring systems may allow cutting the levelized cost of wind-generated electricity by deploying maintenance personnel more efficiently. The non-contacting passive radartechnology and advanced...
Intelligent wind park monitoring systems may allow cutting the levelized cost of wind-generated electricity by deploying maintenance personnel more efficiently. The non-contacting passive radartechnology and advanced sensing technologies on the plant side offer significant potential for such monitoring systems. The goal of the 3-year-long project *** is to identify the most cost-efficient sensing technologies to detect maintenance-relevant damages and to use them for a wind park monitoring system. For this purpose a commercial 3MW wind turbine is instrumented with strain gauges following IEC standard 61400-13 and a network of accelerometers. It is also monitored by passive radartechnology. A learning algorithm is developed and fed with available data from the sensor systems and operational data from the instrumented wind turbine. The algorithm is capable of detecting operational patterns and damage cases of the wind turbine. A graphic user interface illustrates these conditions in a comprehensible way. First field measurements show the suitability of the passive radartechnology to detect the damage-relevant dynamics of the instrumented wind turbine. Validated simulations of typical damage cases prove that both instrumentation on the plant side and the passive radar sensing technology allow reliable damage detection for the examined wind turbine.
Automatic Parking is the most significant ADAS function that could achieving mass production in the field of unmanned driving. For the purpose of automatic parking function, we're foundamentally facing the corresp...
Automatic Parking is the most significant ADAS function that could achieving mass production in the field of unmanned driving. For the purpose of automatic parking function, we're foundamentally facing the corresponding data collection and data *** view of three classical parking scenarios,this paper is concentrating on three contents including the sensor hardware construction, the perception algorithm development,and scenario data *** the the hardware construction,we focus on the sensor installation,time calibration,and space *** on the front camera and radardata fusion,we put great emphasis on the multi-target matching and fusion algorithm. And for the purpose of the scenario extraction and big data analysis work, we are developing automatic big data processing Python code,realizing TB level original data labeled, and data completely processed in short *** whole technology process and tool chain in this program,have extensively high level scientific research and commercial value
Indonesia is a country that has a large sea area of about 96,079.15 km2. With this condition we can utilize the natural resources that are infested in the sea, such as fish, and salt. Indonesia has exceptional salt po...
Indonesia is a country that has a large sea area of about 96,079.15 km2. With this condition we can utilize the natural resources that are infested in the sea, such as fish, and salt. Indonesia has exceptional salt pond commodities from various areas such as Cirebon, Sampang, Indramayu Madura, and Rembang. These resources need to be monitor and inventory in proper way. The development of science and technology, there is an effective and efficient way to identify, monitoring and inventory of salt ponds using remote sensing technology. In this last period the saltwater pond infiltration is still inclined to utilize optical sensor system to monitor and infuse. The method used is visual interpretation through multipolarization composite radar image by using interpretation key. The weakness of passive sensors is affected by the presence of cloud cover. The location of salt ponds in Indonesia is mostly located on the coastal regions that is visually affected cloud cover. In addition the use of active sensor is become a challenging for this aspect. This study was conducted to analysis of hues, patterns, and textures in order to recognize the salt pond object using Alos PALSAR Image (Active sensor). The salt pond object in multi-polarized composite HH-HH / HV composite radar images is recognizable in dark blue with regular pattern plots with characterized by brighter / clear / bright pink ridges.
An Arduino microcontroller has been used for many projects since its first presentation in 2005. This integrated chip used with a variety of sensors to construct many attractive projects and circuits. In this paper, w...
An Arduino microcontroller has been used for many projects since its first presentation in 2005. This integrated chip used with a variety of sensors to construct many attractive projects and circuits. In this paper, we aim to investigate the resolution ability of one of the famous sensors attached to the Arduino which is called the ultrasonic HC-SR04 sensor. This sensor basically, is made from a transmitter and receiver that work in the sonar range of frequencies. It is used to indicate the distance of objects similar to the radar principle. By experimental results another feature could be added to the data sheet of this sensor, named as distance resolution. By applying a reasonable shape and dimension for the target objects at a distance of 11 cm, the experimental results show that this sensor has resolution ability configured in the range of 7 cm displacement between two adjacent objects. Furthermore, the paper suggests increasing the sensor aperture to increase such ability for certain application that used the sensor for discrimination between adjacent objects.
The main purpose of the research was to design a database for collected measurements of the Computer System for Monitoring River Embankments (ISMOP) project. The ISMOP project aimed to conduct research on comprehensiv...
The main purpose of the research was to design a database for collected measurements of the Computer System for Monitoring River Embankments (ISMOP) project. The ISMOP project aimed to conduct research on comprehensive monitoring and forecasting the flood embankments condition. As a part of the project, measurement data were collected continuously, transformed, interpreted and analysed using computer simulations. The assumption of the database was to achieve high availability of data in a short time, allowing quick (in less than 15 minutes) decision about the state of the flood embankment. The warehouse project contains large amount of time series data sets, 2D numerical models, analysis results of flood embankments condition and additional measurements like thermographic simulations. Simple database structure was proposed. data were loaded into small number of tables, data types were adjusted for high accessibility. Such structure allows to use quick data selection for analysis and visualization and prevents from unnecessary data redundancy. To effectively visualize and analyse sensor's data an additional ArcGIS plugin tool was created. The plugin offers the spatial visualization functionality of sensor placement (2D and 3D views), their selection, distance and area measurements, statistical calculations and spatial analysis. The tool also provides ability of manual modification and exporting data into shape and spreadsheet files for further analysis. For the examples that were carried out, the database structure and the plugin were efficient and results were quickly achievable. data were presented in a manageable way in form of 2D charts and 3D visualizations.
In order to monitor and evaluate the impact of rocket launching shock, strain, vibration, typhoon, earthquake and other loads on the launch tower, an online monitoring and evaluation system was established based on mu...
In order to monitor and evaluate the impact of rocket launching shock, strain, vibration, typhoon, earthquake and other loads on the launch tower, an online monitoring and evaluation system was established based on multi-sensor information fusion technology in a space launch site. Firstly, the system integrates the information of vibration, pressure, deformation, wind load, temperature and other sensors to comprehensively analyze and evaluate the safety of tower structure, and realizes health diagnosis. Then use 3dmax to draw the 3D simulation model, and realize the real-time 3D display of various monitoring and analysis results based on the 3D visualization and data-driven technologies.
暂无评论