Street Lamps Research Articles

Post-disaster investigations of damage feature of buildings and structures due to several local strong winds in China during 2021–2024

Local strong winds such as tornadoes and downbursts are rare in terms of measured wind speed data due to their rapid formation and strong destructive power. Post-disaster investigations have become an important approach for rating the strength of these two kind of winds and analyzing structural failure mechanism. From 2021 to 2024, several tornadoes and downbursts occurred in China. This study delineated changes in the intensity levels of wind disasters along their paths based on on-site disaster investigations and established standards for the level of structural damage based on the extent of functional loss and repair. This study focused on the damage feature to light steel structures, masonry structures, steel-concrete structures, and pole structures, and discussed the causes of the damage from the perspectives of construction and force transmission mechanisms. In addition, this study estimated the equivalent wind speeds based on the damage feature of pole structures and metal roof claddings. To reproduce the damage process for a group of high-rise buildings, the computational fluid dynamic (CFD) technology is used to simulate the airflow distribution inside buildings under two conditions of open and closed interior doors. The investigation results can provide useful information for the wind intensity classification and rating standards in China. Meanwhile, compared with the interior doors being open or closed, closing indoor doors during strong winds can significantly reduce indoor wind speeds, which is beneficial for ensuring safety.

Intelligent Design of Street Lamp in Rural Areas Based on an Improved Genetic Algorithm

This study addresses the demand for more efficient streetlight designs in rural areas by introducing an improved genetic algorithm (GA) to optimize the geometry and placement of streetlight poles. Conventional GAs frequently suffer from premature convergence and becoming trapped in local optima, reducing their effectiveness. To mitigate these issues, this research integrates the genetic algorithm with Sequential Quadratic Programming (SQP), using the quasi-optimal solution generated by the GA as the initial input for the SQP, enhancing both accuracy and stability. The methodology includes developing a geometric model of streetlight poles utilizing point cloud data and extracting the centerline via the optimized GA-SQP approach. Additionally, the study examines the effects of random errors, gross errors, incomplete point cloud data, and centerline deviations on the algorithm's performance.

Research on bridge spatial deformation monitoring using light poles and displacement-relay theory

The growing traffic on municipal bridges demands effective methods for monitoring spatial deformations to ensure structural safety. Traditional measurement techniques often fall short in terms of efficiency and precision. This study presents an innovative bridge deformation measurement system that employs light poles and displacement-relay theory, integrated with high-resolution optical cameras, sub-pixel image recognition algorithms, and IMU data. Laboratory experiments involved chain camera units and multiple data processing methods, including sub-pixel recognition and wavelet denoising. Results showed that sub-pixel recognition with four-layer wavelet denoising achieved the highest accuracy, aligning closely matching the performance of commercial equipment. Field tests on the Xinwuyi and Dinghuaimen Bridges under varying traffic conditions confirmed the system’s reliability. The study concludes that the system effectively captures dynamic load variations, enhancing the accuracy of spatial deformation measurements. Future work will refine error analysis and data processing methods to further enhance the system’s practical applicability.

An Innovative New Approach to Light Pollution Measurement by Drone

The study of light pollution is a relatively new and specific field of measurement. The current literature is dominated by articles that describe the use of ground and satellite data as a source of information on light pollution. However, there is a need to study the phenomenon on a microscale, i.e., locally within small locations such as housing estates, parks, buildings, or even inside buildings. Therefore, there is an important need to measure light pollution at a lower level, at the low level of the skyline. In this paper, the authors present a new drone design for light pollution measurement. A completely new original design for an unmanned platform for light pollution measurement is presented, which is adapted to mount custom sensors (not originally designed to be mounted on a unmanned aerial vehicles) allowing registration in the nadir and zenith directions. The application and use of traditional photometric sensors in the new configuration, such as the spectrometer and the sky quality meter (SQM), is presented. A multispectral camera for nighttime measurements, a calibrated visible-light camera, is used. The results of the unmanned aerial vehicle (UAV) are generated products that allow the visualisation of multimodal photometric data together with the presence of a geographic coordinate system. This paper also presents the results from field experiments during which the light spectrum is measured with the installed sensors. As the results show, measurements at night, especially with multispectral cameras, allow the assessment of the spectrum emitted by street lamps, while the measurement of the sky quality depends on the flight height only up to a 10 m above ground level.

Away from Feminist Radicalism

Calixthe Beyala’s creative works and public comments on her artistic productions and her life in general have enjoyed a remarkable attention without any doubt. However, there is a particular aspect of her literary creativity begging for attention. This study, therefore, is set to investigate Beyala’s religious disposition with a view to establishing the fact that African women do not only reject being restricted to the kitchen but also demonstrate that they should be considered when it comes to the matter of exercising their faith. The two novels selected for this study are Calixthe Beyala’s Mama a un amant and La petite fille du réverbère. They can be translated as Mama has a Lover and The little girl under the street lamp. Adopting sociological conceptual framework, data are analyzed using the French explication de texte which can be interpreted as the close reading technique or content analysis of a text, verbal or non-verbal. Findings from the study suggest that the new generation of African female writers focuses on an attempt to establish and reconnect womenfolk with their most fundamental human rights through artistic designs and their creative writings. Besides being a means of socialization, religion is a ritualistic act of worship, and it reflects a significant part of a people’s way of life. The study, however, concludes that there is a need for check and balance between the idea of masculinity and the concept of feminism to curtail the excesses there-in for the progress of human societies.

Fog intelligence for energy efficient management in smart street lamps

Fog intelligence for energy efficient management in smart street lamps

Rethinking the Smart City as an Intelligent City Archway

Urban intelligence is the ability to understand and navigate the physical and digital dimensions of “connected complex urban places”. For example, new infrastructures (e.g., sensors, Internet of Things {IoT} devices like smart lamp posts) are needed to capture and represent places in software platforms and on the Internet. New spatial skills and spatial thinking are needed to navigate these new interfaces and networks of places. This paper aims at understanding urban intelligence by exploring variations in how smart cities have been conceptualized; how citizens have been placed within the smart city; and how Canada’s smart cities initiative has placed on urban (and highly spatial) problems over digital technologies. The metaphor of the Roman arch is used to describe the interdependency of the building blocks of smart cities. Components (building blocks) of the smart city, be they openness, resilience or inclusion, must all be present, and build towards what we argue is the keystone of urban intelligence. We discuss how these components lead to a new consideration of the smart city, the Intelligent City.

Study on the influence of cap connection mode on the deformation of all-steel spiral anchor

Abstract Spiral anchors find widespread use across diverse projects, including residential, commercial, street lamp poles, photovoltaic systems, and transmission tower infrastructure, due to their simple structure, convenient construction, high degree of mechanization, and minimal soil disturbance. All-steel spiral anchors offer notable advantages in terms of ease and environmental friendliness. To bolster their utilization in power transmission engineering applications, based on the application requirements of the spiral anchor foundation of the Weifang Guanting transmission tower, the influence of the connection method of the bearing platform on the deformation of the all-steel spiral anchor is studied. The results show that both the welding and bolt connection methods can meet the required stiffness of the project.

Training on Making Street Light Poles Using Light Steel for the Community of Griya Permata Housing Complex, Handil Bakti Village, Alalak District, Barito Kuala Regency, South Kalimantan Province

Training on making street lighting poles using light steel can be an effective solution in improving the quality of lighting in public areas. Light steel has several advantages, such as lighter weight, resistance to corrosion, and ease of installation compared to conventional materials such as concrete or wood. The implementation of training activities on making street lighting poles using light steel was carried out on Saturday, May 25, 2024 at the Welding and Plumbing Workshop, Banjarmasin State Polytechnic. It is hoped that this training can contribute to community empowerment, where participants can apply the skills they have acquired to open small businesses in the manufacture and installation of lighting poles

PV integrated multi-leg powered constant quasi-dynamic charging system for low-speed vehicles

The global adoption of electric vehicles (EVs) is gaining momentum as countries strive to achieve sustainable development goals. Establishing charging infrastructure is of paramount importance to promote increased EV usage. The cost and weight of the batteries are factors that reduce the sales volume and popularity of EVs. A dynamic charging system has also been developed to enhance the driving range of EVs and mitigate the need for heavy storage requirements. The energy demand of charging infrastructure is increasing day by day. Many countries are installing solar arrays along the roadside to meet the power demand of highway lighting applications and achieve sustainable development goal (SDG) 7. To further enhance this system, this manuscript proposes integrating PV technology with the dynamic charging system. The PV arrays and energy storage system (ESS) collaborate to power the dynamic charging system. A multi-leg inverter is employed to energize the charging couplers, while a resonant network improves the power transfer capability of the couplers. On the receiver side, a resonant network ensures the delivery of constant voltage and constant current by tuning the network topology. The 3.3 kW five-legged inverter is developed to energize the four double-D-shaped charging couplers. The common DC bus delivers 350 V to the inverter, and the charging system delivers 350 V, 8.85 A to the EV batteries.

Street Lamp Status Warning System Based on Internet of Things Technology

Street Lamp Status Warning System Based on Internet of Things Technology

Failure assessment of deteriorated steel light poles

Steel poles are extensively used as street light posts and various other applications within the power distribution network. For partially buried pole, the effect of corrosion below and at the ground level significantly controls the overall load capacity. In this study, number of in-service steel pole specimens extracted from field were assessed for the corrosion damage. The level of corrosion was estimated by remaining wall thickness measured using ultrasonic testing and the surface corrosion was estimated using 3D laser scanning to adopt an appropriate existing model for buried steel structures. A relationship between maximum and average corrosion pit depth and loss of embedment depth was then developed. Finally, the corrosion parameters, combined with uncertainty in loading and soil properties were employed to perform time-dependent reliability assessment for steel light poles which can be used to assist the asset maintenance team in planning the replacement or strengthening works for steel pole.

ПОВЫШЕНИЕ ЭФФЕКТИВНОСТИ УПРАВЛЕНИЯ ОСВЕЩЕНИЕМ УЛИЦ ГОРОДА ПУТЕМ МОДЕРНИЗАЦИИ АВТОМАТИЗИРОВАННОЙ СИСТЕМЫ УПРАВЛЕНИЯ НАРУЖНЫМ ОСВЕЩЕНИЕМ

The article presents a connection diagram for the control panel of an automated system for controlling external lighting of city streets, as well as an electrical circuit diagram of the control panel. A stand based on the Wiren Board PLC has been developed.

Location Selection Scheme of Smart Light Pole Based on Segmentation Optimization

Location Selection Scheme of Smart Light Pole Based on Segmentation Optimization

Intelligent Acoustic and Optical Anomaly Monitoring System for Expressway Tunnels Based on the Internet of Things

A smart sound and light anomaly monitoring system for highway tunnels based on Internet of Things technology was studied to address the issues of highway tunnel lighting systems. By utilizing Internet of Things technology, the tunnel lighting system is combined with abnormal sound recognition. Through the design of algorithm models, the recognition of abnormal sound inside the tunnel and the intelligent control of the lighting system is achieved. By pruning and validating the hidden layer nodes of the model, a more streamlined abnormal sound recognition model is obtained. Through experimental verification, this model has the highest recognition accuracy among all models, with a recognition rate of 91.75% at a compression rate of 20%. Compared with Average Percentage of Zeros (APoZ), Random Pruning and Mean Activation, the recognition rate is increased by 2.64%, 1.47% and 1.40%, respectively. In the design of tunnel lighting, fuzzy control is applied to the lighting inside the tunnel to improve the driving safety of drivers and further reduce the power consumption of excessive lighting in the tunnel. Through experiments, it has been proven that the system can work well, saving up to 727[Formula: see text] of energy per day.

Exploration of irreversibility process and thermal energy of a tetra hybrid radiative binary nanofluid focusing on solar implementations

Abstract Thermal energy from the Sun comes mostly from sunlight. These energies might be used in photovoltaic cells, sustainable power systems, solar light poles, and water-collecting solar pumps. This age studies solar energy and how direct sunshine might improve solar panel efficiency. Solar energy, especially solar tiles, is widely used in manufacturing today. The literature includes a modified Buongiorno hybrid nanofluid prototype. There are no studies that have examined the impact of tri-hybrid and unique tetra hybridity nanomolecules integrated with the Buongiorno nanofluid prototype on liquid moving on a flexible surface. This study examines the effects of an improved Buongiorno tetra hybrid nanoliquid prototypical with Buongiorno and Tiwari–Das nanofluid on magnetized double-diffusive binary nanofluid with cross fluid and Maxwell liquid flowing with variant thermal conductance over a porous medium. Different profiles include diffusion thermo and thermo diffusion. The LobattoIIIA scheme’s convergence and stability are examined in terms of residual error, mesh points for ordinary differential equations (ODEs), and boundary conditions. Leading equations about liquid flow continuity, impetus, temperature, and concentricity are obtained using continuity, conservation of momentum, the second law of thermodynamics, Fick’s second law of diffusion, and boundary layer expectations. The system of partial differential equations obtained from the given assumption becomes a system of ODEs and well-established LobattoIII. Their numerical solution is obtained using a numerical technique. Statistical charts and tables provide numerical solutions. The heat transport rate of tetra-hybrid nanomolecules increases dramatically, unlike tri- and di-hybrid nanomolecules. The improved Buongiorno tetra hybrid nanofluid (BTHNF) model produces more heat when radiation Rd {\rm{Rd}} , Brownian diffusion Nb {\rm{Nb}} , and thermal conductivity are increased. The data show that the diffusion factor L L , Brinkman number Br {\rm{Br}} , and Reynolds number Re increase entropy production, but Bejan number reduces it owing to an increase in Be {\rm{Be}} and Re \mathrm{Re} . A statistical regression study shows that retaining the Maxwell fluid parameter constant and increasing the Weissenberg number We {\rm{We}} decrease the drag coefficient error. A BTHNF model containing tetra hybrid nanoparticles has not been utilized to examine heat and mass transferences in non-Newtonian fluids, considering diffusion, thermo, and thermo diffusion. Entropy generation in a binary fluid with tetra hybrid nanoparticles and BTHNF has not been studied. Tetra hybrid nanofluid is not mentioned in the literature. This effort aims to create a new tetra-hybrid nanofluid model. This article is novel because it investigates the effects of thermal radiation, thermal conductivity, porosity, Darcy–Forchheimer, and Buongiorno models on a tetra-hybrid nanofluid flow under an extensible sheet.

Design of Intelligent Street Lamp System Driven by New Energy Sources

The streets, large and small, are full of street lights, which light up the way home when night falls. But tens of thousands of street lamps consume a lot of energy. The non-renewable energy on the earth is limited, so in order to protect our earth and enable the sustainable development of the earth, this paper designs and develops an intelligent street lamp system driven by new energy sources. Different from the traditional single power supply mode, the street lamp mentioned in this paper uses solar energy, wind energy and ceramic piezoelectric machinery to provide electricity to the street lamp. Solar power is generated when the sun is full, and wind power is generated when there is no sun. The mechanical energy of a car passing through piezoelectric ceramics can also be used to generate electricity in special weather conditions when there is no wind or sunshine. A variety of power generation methods have solved the malpractice of new energy source street lamps relying on weather conditions. And the system can display the power of the storage battery in real time, and light it automatically when night falls. It is an efficient multi-source drive intelligent new energy street lamp.

Wind load simulation for the analysis of the antenna dual-purpose poles aerodynamics

Introduction. In addition to the location of cellular communication equipment, dual-purpose poles perform the function of a lighting pole. Since dual-purpose pole are located on the central streets of the city, they have strength margins and minimum dimensions. The growing number of urban dual-purpose poles makes the correct calculation very relevant for ensuring their safe operation.Aim. Analysis of the change in the wind load on the dual-purpose pole with panel antennas and its effect on the strength of the dual-purpose pole structure. In order to achieve this, the following tasks were formulated: to deter-mine the dependence of the aerodynamic coefficient and the magnitude of the wind load on the dimensions of panel antennas and their location; to formulate recommendations for the installation of panel antennas on the upper dual-purpose pole section with a diameter of 114 mm.Materials and methods. An analysis of changes in the wind load and aerodynamic coefficient of the dual-purpose pole section, 114 mm in diameter, with panel antennas, installed thereon, depending on the dimensions of antennas and their location.Results. The aerodynamic coefficient was established to decrease at an increase in the projection of the panel antennas beyond the pipe rack, regardless of their dimensions. The more the panel antennas are pressed against the pipe rack, the closer they are to the neighboring antennas, thereby making it difficult to blow the cross-section in the center. Despite the fact that the aerodynamic coefficient decreases with an increase in the projection beyond the pipe rack, the value of the wind load remains almost constant.Conclusions. Panel antennas on a pipe rack with a diameter of 114 mm must be designed taking into account the cross-section dimensions of panel antennas. If the panel antenna width and thickness exceed 350 and 150 mm, respectively, the installation of such panel antennas should be as close as possible to the considered pipe rack in order to reduce the wind load on the dual-purpose pole. In other cases, the projection of panel antennas will have no significant effect on the change in the wind load.

ESTATE: A Large Dataset of Under-Represented Urban Objects for 3D Point Cloud Classification

Abstract. Cityscapes contain a variety of objects, each with a particular role in urban administration and development. With the rapid growth and implementation of 3D imaging technology, urban areas are increasingly surveyed with high-resolution point clouds. This technical advancement extensively improves our ability to capture and analyse urban environments and their small objects. Deep learning algorithms for point cloud data have shown considerable capacity in 3D object classification but still face problems with generally under-represented objects (such as light poles or chimneys). This paper introduces the ESTATE dataset (https://github.com/3DOM-FBK/ESTATE), which combines available datasets of various sensors, densities, regions, and object types. It includes 13 classes featuring intensity and/or colour attributes. Tests using ESTATE demonstrate that the dataset improves the classification performance of deep learning techniques and could be a game-changer to advance in the 3D classification of urban objects.

Vital Effects of Applied Lighting Science in Road Engineering

At one of the many traffic nodes that lead to the Paris-Lyon highway, those concerned noticed that the rate of accidents at night is 600% higher than at other nodes whose design does not differ much from the aforementioned node. The matter remained for years without a convincing explanation until, by chance, some of the lighting poles leading to the aforementioned node broke down. Those concerned noticed that the accident rate had decreased significantly, then returned to its previous rate after the defect was fixed.