Design Of Intelligent Monitoring System Research Articles

Design of Intelligent Monitoring System in Galloping Power Transmission Line.

To prevent the frequent occurrence of transmission line galloping accidents, many scholars have carried out studies. However, there are still many difficulties that have not been solved. To address the issues that have arisen during the installation of the monitoring system, a new installation technique for the galloping monitoring terminal structure has been developed, and structural design and transmission line impact have been taken into account. A method combining Kalman and Mahony complementary filtering has been shown to solve the problem of wire twisting when galloping is taken into account. The displacement is derived by double-integrating the acceleration, although the trend term has a significant impact on the integration result. To handle the trend term issue and other error effects, a method combining the least-squares method, the adaptive smoothing method, and the time-frequency domain hybrid integration approach is used. Finally, the monitoring terminal’s structural design is simulated and evaluated, and the measured amplitude is assessed on a galloping standard test bench. The difference between the measured amplitude and the laboratory standard value is less than 10%, meeting the engineering design criteria. And the galloping trajectory is identical to the test bench trajectory, which is critical for user end monitoring.

BeiDou-based borehole hydrological intelligent monitoring system design

An intelligent monitoring system for borehole hydrology based on Beidou is designed. This system uses input sensors to measure water level and water temperature in boreholes. The intelligent terminal uses the STM32F103RCT6 microprocessor as its core, and adopts a timed power-on mode of operation to collect water level and water temperature information, uploads the collected water level and water temperature data to the gateway through the Beidou module, and uploads the water level and water temperature data to the OneNET platform through the GSM network via the gateway, the OneNET platform provides intelligent statistical analysis of uploaded data, enabling real-time monitoring and early warning of water levels and temperatures in boreholes, effectively preventing and controlling water damage in mines.

Street Lamp Intelligent Monitoring System Design Based on NB-IoT Technology

In view of the problems in the practical application of traditional urban Lighting systems, such as inconvenient centralized control of street lamps, untimely information monitoring, and low efficiency of human inspection methods, a design scheme for street lamp monitoring systems based on narrow-band Internet of Things (NB-IoT) technology is proposed. In this solution, the STM32L431 RCT6 chip is used as the main control chip, and the NB-IoT module is used as the communication module. It is connected to the Huawei Internet of Things management platform, and an application program is developed on the application side to remotely monitor the street lights in real time. The experimental results show that the system realizes real-time monitoring and intelligent control of street lamps.

Design of Intelligent Monitoring System for Knee Joint

Combined with physical modelling, motion capture and microprocessor technology, a human knee joint intelligent monitoring system based on nine-axis attitude angle sensor WT901 is developed. The overall design of the system and its hardware and software design are completed. The system adopts STM32 to improve the practicability of the system, use App to enhance the human-computer interaction capability. The results of the system tests indicate that the system realized accurate measurement of knee-bending angle and pressure. In addition, the system can also warn of sports posture errors and knee fatigue, and it is wearable and has low energy consumption.

Design of Intelligent Monitoring System of Chicken House Environment Based on Single-chip Microcomputer

In view of the problem that some chicken farms are susceptible to various bacteria and viruses due to poor breeding environment, this paper designs a chicken house environmental intelligent monitoring system based on single-chip microcomputer application to improve the chicken house environment. The system adopts STC89C52 single-chip microcomputer as the main control chip. The sensor collects information on the light intensity, temperature and humidity, and carbon dioxide concentration, and controls the exhaust fan and the illumination lamp, and the environmental parameters can be displayed on the display in real time.

Research on Fuel Supply Intelligent Monitoring System Design Based on PLC

Research on Fuel Supply Intelligent Monitoring System Design Based on PLC

井场安全生产智能监控系统设计

井场安全生产智能监控系统设计

The Design of Intelligent Monitoring System on Tropical Greenhouse Crop Production Environment

Based on the growth characteristic of tropical greenhouse crop and field intelligent management demands for information of temperature, humidity, gas and light, the intelligent monitoring system on tropical greenhouse crop production environment is studied and designed respectively. The system includes two parts of hardware and software. In the part of hardware, mainly expounding hardware's function and communication protocol with software. It is composed of TINY210 development board and sensors. Software includes JAVA programming language, COM communication port, communication protocol, data collection and management. Finally, the system has been tested in the laboratory and the scheme's feasibility has been validated.

The Design of Intelligent Monitoring System on Swimming Pool Based on WSN and GPRS

A information-detecting recorder is designed, which can detect the swimmer’s pulse signal through a sensor module wrapped on their wrist, then send the alarming signal to the monitoring center by the wireless way. This system makes the saver find the drowned man at the first time and help them, that not only realizes the intelligence of monitoring system but also guarantee the human’s safety.

Design of intelligent monitoring system for grain cleaning losses based on symmetry sensors

Design of intelligent monitoring system for grain cleaning losses based on symmetry sensors

The Intelligent Monitoring System

Abstract The Intelligent Monitoring System (IMS) is a computer system for processing data from seismic arrays and simpler stations to detect, locate, and identify seismic events. The first operational version processes data from two high-frequency arrays (NORESS and ARCESS) in Norway. The IMS computers and functions are distributed between the NORSAR Data Analysis Center (NDAC) near Oslo and the Center for Seismic Studies (Center) in Arlington, Virginia. The IMS modules at NDAC automatically retrieve data from a disk buffer, detect signals, compute signal attributes (amplitude, slowness, azimuth, polarization, etc.), and store them in a commercial relational database management system (DBMS). IMS makes scheduled (e.g., hourly) transfers of the data to a separate DBMS at the Center. Arrival of new data automatically initiates a “knowledge-based system (KBS)” that interprets these data to locate and identify (earthquake, mine blast, etc.) seismic events. This KBS uses general and area-specific seismological knowledge represented in rules and procedures. For each event, unprocessed data segments (e.g., 7 min for regional events) are retrieved from NDAC for subsequent display and analyst review. The interactive analysis modules include integrated waveform and map display/manipulation tools for efficient analyst validation or correction of the solutions produced by the automated system. Another KBS compares the analyst and automatic solutions to mark overruled elements of the knowledge base. Performance analysis statistics guide subsequent changes to the knowledge base so it improves with experience. The IMS is implemented on networked Sun workstations, with a 56 kbps satellite link bridging the NDAC and Center computer networks. The software architecture is modular and distributed, with processes communicating by messages and sharing data via the DBMS. The IMS processing requirements are easily met with major processes (i.e., signal processing, KBS, and DBMS) on separate Sun 4/2xx workstations. This architecture facilitates expansion in functionality and number of stations. The first version was operated continuously for 8 weeks in late-1989. The Center functions were then transferred to NDAC for subsequent operation. Later versions will be distributed among NDAC, Scripps/IGPP (San Diego), and the Center to process data from many stations and arrays. The IMS design is ambitious in its integration of many new computer technologies, but the operational performance of the first version demonstrates its validity. Thus, IMS provides a new generation of automated seismic event monitoring capability.