Ground station software plays a crucial role in the intelligent development of unmanned aerial vehicles (UAVs) across various countries. This work analyzes the current shortcomings of ground station software in suppor...
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With the increasing abundance of smart city construction cases, the essence and technical requirements of smart construction need to be continuously iterated and updated in conjunction with the latest information tech...
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Unmanned aerial vehicles (UAVs) can carry out tasks such as border patrol and sea guard, which has a broad application prospect. How to apply intelligent technology in UAV system, so as to improve the efficiency of ta...
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BIM (Building Information Modeling) technology is introduced into the whole life cycle, and examples are given for visual analysis and comprehensive cost optimization at each stage: model analysis and estimation in th...
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The research objects for evaluating the reliability of the real-time intelligent seismic processing system (RISP) in the Inner Mongolia seismic network were 31 earthquake events that occurred in the region within 30 d...
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The research objects for evaluating the reliability of the real-time intelligent seismic processing system (RISP) in the Inner Mongolia seismic network were 31 earthquake events that occurred in the region within 30 days before and after the Helingeer M-L 4.5 earthquake on March 30, 2020. The manual cataloging was compared to the output results of the real-time intelligent seismic processing system (automatic catalog). It was observed that the number of events identified by the RISP system was approximately 2.5 times that of the manual ones, with 30 automatic catalogs matching the manual catalogs (31). The event recall rate was as high as 96.8%. The automatic catalog had a small deviation from the manual catalog in terms of earthquake occurrence time, epicenter location, magnitude, and P-wave and S-wave phase arrival time. When the results of the automatic and manual catalogs are compared, it is evident that the cataloging of the same events in both catalogs is consistent, with the earthquake occurrence time and epicenter deviation usually settling within +/- 2 s and +/- 10 km, respectively. The automatic catalog meets the error range requirements of the manual catalog. The Real-time intelligent Seismic Processing system (RISP) produces data that meets expected goals and supports scientific research, such as rapid aftershock sequence production and earthquake swarm trend judgment post-earthquake.
Combined with the research status of big data audit at home and abroad, a computer intelligent auxiliary system for data audit based on cost accounting thinking is proposed. The audit platform of big data project is b...
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In IoT, sensor technology is the link between the physical and digital worlds, generating huge amounts of real-time data. Machine learning empowers IoT systems to sense intelligently by processing this data. Sensors c...
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ISBN:
(纸本)9798350375084;9798350375077
In IoT, sensor technology is the link between the physical and digital worlds, generating huge amounts of real-time data. Machine learning empowers IoT systems to sense intelligently by processing this data. Sensors can not only sense environmental parameters such as temperature and humidity, but also obtain information on equipment operation status and productivity. And machine learning can learn the laws from these data to achieve real-time monitoring and anomaly detection. Through machine learning algorithms, the system is able to recognise equipment anomalies, predict faults and take action before an incident occurs. This not only improves the reliability and stability of equipment, but also reduces maintenance costs. The combination of intelligent sensing and data analytics makes IoT systems smarter and more efficient, bringing significant improvements to applications in a variety of fields. The system is able to extract valuable information from data, identify anomalies and trends, and help users better understand environmental conditions. For example, in a smart home, the system learns the living habits and preferences of family members and adjusts the operating status of home devices to provide a more comfortable and intelligent living experience.
The study of an automated system for intralogistics requires an important use of time and resources, starting from the input data analysis up to the definition of the technical solution. While many commercial tools ar...
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ISBN:
(纸本)9783031382406;9783031382413
The study of an automated system for intralogistics requires an important use of time and resources, starting from the input data analysis up to the definition of the technical solution. While many commercial tools are available for testing and optimizing the plant performance during the advanced design stages, little work has been done concerning the workflow to be followed at the pre-sales design phase. In this context, the present paper focuses on the definition of the best practices for the correct preliminary definition of a robotic cell for palletization. To simplify and speed up the pre-sales feasibility study and estimate the performance of the proposed robotic system, an engineering approach based on a simplified theoretical model is reported and integrated within a dynamic calculation table. As the main output, the proposed tool calculates the robot saturation which is a key index for the plant preliminary definition.
This study explores the control application of incremental PID control algorithms in an intelligent control experimental platform and verifies its feasibility. Based on the control model of the intelligent control exp...
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