Abstract:Pitaya is a high value-added perennial tropical fruit tree,and its fruit is highly rich in nutrition and health substances.Nowadays,pitaya is widely planted in many tropical and subtropical countries with good economic benefits.Pitaya planting area in China ranks first in the world,mainly including tropical and subtropical areas of open field cultivation and temperate zone facility cultivation.Pitaya is a long-day and light-loving plant which can be produced year-round,but it is a serious problem that the weak light and the insufficient irradiation duration in winter and spring leading to poor flowering rate and fruit setting rate.The induction of a large number of high quality stepped flowering by LED artificial light is the core industrial technical requirement for achieving multiple crop results and high quality and high yield of Pitaya fruit.In this paper,we summarized the pitaya flowering enhancement effects of LED supplemental light intensity,quality,time and duration,which provided the basis for establishing the accurate and efficient LED light technology for pitaya production.

Abstract:In the intelligent transformation of modern industry,lighting systems have evolved from basic functional units to important components enabling perception,interaction,and performance enhancement in mechanical equipment.Energy redundancy,thermal management imbalances,and inadequate optical adaptability resulting from traditional discrete designs are limiting the performance potential of high-end equipment in precision manufacturing,intelligent inspection,and similar applications.Particularly under complex operating conditions,systemic solutions are urgently needed to address issues such as hardware coupling delays between lighting components and mechanical structures,fragmented control logic,and multi-physics field interference.This paper therefore explores mechanisms for energy efficiency leaps and robustness enhancement in opto-mechatronic system integration,aiming to provide reference for innovative design and performance upgrades in smart manufacturing equipment.

Abstract:Outdoor lighting facilities are public infrastructure that ensures urban safety at night and provides convenience for daily life.Traditional inspection methods not only make it difficult to inspect a large number of scattered outdoor lighting facilities,but also make it hard to achieve precise fault detection and life prediction.The drone inspection technology,with its high flexibility,short inspection time,and multi-modal detection capabilities,offers a new approach for the operation and maintenance of outdoor lighting facilities.This paper mainly discusses the fault diagnosis and life prediction methods of outdoor lighting facilities through the drone inspection.

Abstract:The article focuses on analyzing key points in urban road lighting design,such as the height setting of lamps,spacing,and lamp placement methods.It also proposes three core energy-saving paths:promoting LED lamps,implementing intelligent control,and strengthening system maintenance.The aim is to ensure the safety of urban road lighting,effectively reduce energy consumption and operation and maintenance costs,and provide practical references for building a green and sustainable urban lighting system.

Abstract:With the continuous promotion of green lighting concepts,LED lighting systems play a central role in energy-saving optimization and intelligent operation of lighting projects.This paper systematically analyzes the integrated application of key technologies—such as intelligent control,power management,thermal optimization,and power quality improvement—in LED lighting systems for green lighting projects.By combining typical engineering cases and operational data,the energy-saving effects and performance advantages of the system are verified,aiming to provide technical references for the design and implementation of green lighting projects.

Abstract:A three-tier intelligent architecture integrating perception,transmission,and management is developed to address high energy consumption in urban lighting systems.A grey prediction model with nine factors enables dynamic load forecasting,while time-based dimming,environmental linkage,and distributed energy strategies drive efficient operation.A municipal retrofit achieved 43.0%electricity reduction and 154.6 tons of CO2 mitigation,demonstrating practical pathways for low-carbon urban lighting transformation.

Abstract:Lighting equipment is the infrastructure of power plants and an indispensable part of the power plant's safety production chain.The operation effect of the power plant's lighting system is directly related to the enterprise's power generation quality,production efficiency,labor hygiene and safety,etc.Power plants need to select the most suitable lighting equipment based on their own actual situation.Compared with the traditional power plant lighting system,the LED lighting system is more in line with the power plant's energy conservation and environmental protection goals,and can save the power plant's lighting costs while optimizing resource allocation.The application of the LED lighting system in the production and operation process of power plants not only conforms to the operation and development goals of cost reduction and efficiency improvement of power plants,but also is an important measure to achieve low-carbon transformation and sustainable development.Based on this,this paper discusses the application of LED lighting technology in the energy conservation and environmental protection field of power plants,providing useful references for the sustainable development of power generation enterprises.

Abstract:With the development of smart buildings,smart lighting systems play an important role in energy consumption control and operation management.However,the cost of its operation and maintenance phase is dynamic and complex,and traditional static management is difficult to meet the refined needs.In this paper,a dynamic cost management method based on data-driven is proposed.Combined with energy consumption,equipment maintenance,labor and system update costs,a dynamic prediction model is constructed to realize real-time monitoring and forward-looking control of operation and maintenance costs.Through the empirical analysis of the 36-month operation and maintenance data of a commercial complex building,it is found that the energy consumption cost shows a downward trend,the maintenance cost continues to rise,and the total cost fluctuates periodically under the influence of the two.The model prediction results are highly consistent with the actual data,and provide decision-making basis and feedback adjustment in the closed-loop management to achieve a total cost savings of about 8%.The research shows that this method can provide a scientific and operable cost management scheme for the operation and maintenance of smart buildings.

Abstract:Under the background of"double carbon"target,the low-carbon and intelligent transformation of urban street lighting has become an important direction of energy conservation and emission reduction.Based on the life cycle assessment(LCA)method,this paper constructs the life cycle energy consumption assessment model of the street lamp lighting system and the energy consumption monitoring system of the Internet of Things,and realizes the energy consumption quantification and real-time monitoring in the stages of manufacturing,transportation,operation,maintenance and scrapping.Combined with energy consumption prediction model and multi-objective optimization algorithm,an intelligent control strategy for low-carbon transformation is proposed.Taking a typical road lighting system as an example,the results show that the strategy can reduce the operating energy consumption by about 9%,the whole life cycle energy consumption by about 7%,and the carbon emission by about 680 kg CO2/10 years under the premise of meeting the illumination requirements.The research results provide theoretical support and practical reference for energy saving,carbon reduction and intelligent management of urban lighting system.

Abstract:Street lamp facilities are a crucial component of urban infrastructure,and the integrity of their anti-corrosion coatings directly determines the safety performance of the overall structure.During long-term service,anti-corrosion coatings are affected by environmental factors such as ultraviolet radiation,temperature cycles,and humidity changes,leading to failure phenomena like oxidation reactions and chemical degradation,which cause defects including blistering,peeling,and cracking in the coatings.After coating failure,corrosive media come into direct contact with the metal substrate,thereby accelerating the corrosion process and triggering key issues such as thinning of the lamp pole wall thickness,stress concentration at the lamp arm connection,and reduced sealing performance of the control box.Studies have shown that there is a positive correlation between the coating peeling rate and the metal corrosion depth.When the coating protection failure reaches a certain level,the structural load-bearing capacity decreases significantly,the bending strength declines,and the fatigue life is greatly reduced.This seriously affects the structural safety of street lamp facilities and poses a potential threat to the stable operation of the urban lighting system.

Abstract:This paper addresses the issues in life management and energy consumption control of LED lighting in hospital public toilets,proposing a life prediction model and energy-saving maintenance strategy based on illuminance and service time.It constructs a prediction model that integrates illuminance attenuation and service time,designs a dynamic energy-saving maintenance scheme,and builds a linkage system to achieve the integration of data collection,model calculation,and strategy execution.Practice demonstrates that the model can accurately predict the remaining life of lamps,and the relevant strategies can reduce energy consumption and maintenance costs,providing a feasible solution for the efficient management of LED lighting in hospital public toilets.

Abstract:With the advancement of intelligent vehicle lighting,the function of taillights has evolved from basic illumination to complex interactive features.To meet the growing functional demands,taillight drive systems must comply with higher technical standards.This study proposes an innovative platform-based architecture for taillight drivers,utilizing a bus communication framework.The scheme supports a variety of products,including through-type taillights and information display systems,integrating basic lighting,dynamic flowing effects,and welcome entertainment functions.

Abstract:The port lighting system faces pain points such as extensive operation and maintenance(O&M),high energy consumption,and potential safety risks.This study designs and implements a port intelligent lighting system integrating intelligent perception,reliable communication,and intelligent decision-making functions.The system accurately perceives equipment status through the installed TH-LMC1010 intelligent control terminals,ensures data transmission via a hybrid network of industrial Ethernet and wireless communication,and develops an intelligent operation platform with multi-strategy control and intelligent fault diagnosis capabilities based on a microservice architecture.Empirical research at Rizhao Port of Shandong Port Group shows that the system effectively reduces fault handling time,improves the stability and efficiency of O&M,enhances the overall energy-saving rate,and significantly optimizes the intrinsic safety of the port.This achievement provides a proven technical solution and business model for the digital upgrade of traditional industrial lighting system.

Abstract:In the field of mechanical manufacturing,the efficiency and safety of the lighting system directly affects the production efficiency and operating environment.Currently,the industry is generally characterized by high energy consumption,insufficient light uniformity,health hazards and other problems,and the traditional lighting model is difficult to adapt to the refined needs of intelligent manufacturing scenarios.With the development of intelligent control technology and human factors engineering,there is an urgent need to explore the innovative path of the lighting system,through the integration of technology to achieve functional optimization and energy efficiency.Therefore,this paper discusses the innovative design method of lighting system in mechanical manufacturing scenarios,in order to build a systematic solution that is more energy-efficient,intelligent,and in line with the needs of human eye health,and to provide theoretical and practical basis for upgrading the light environment of modern factories.

Abstract:Aiming at the existing issues in current highway tunnel LED lighting systems—such as limited dimming interface compatibility,complex communication wiring,and insufficient environmental adaptability—this paper proposes and develops a multifunctional tunnel LED controller based on High-Speed Power Line Communication(HS-PLC).The controller integrates multiple dimming circuits,including PWM and 1–10 V,and enables flexible switching between dimming modes via DIP switches,significantly enhancing device versatility.By adopting HS-PLC instead of conventional wired or wireless communication,the system effectively reduces deployment costs and improves signal transmission reliability within the challenging electromagnetic environment of tunnels.Hardware-wise,it incorporates power metering and millimeter-wave radar modules to enable real-time acquisition of luminaire power consumption,vehicle speed,and traffic flow data.On the software side,it supports four intelligent control strategies:manual control,time-based dimming,luminance-adaptive dimming,and"lights-on-vehicle-approach,lights-off-vehicle-departure"operation,along with power-loss memory retention and automatic status reporting capabilities.A closed-loop feedback mechanism dynamically adjusts illuminance to achieve demand-driven lighting and energy-efficient operation.Furthermore,device authentication,data collision avoidance,and segment-based addressing schemes are implemented to enable precise single-lamp control and unified segment management.Test results demonstrate excellent performance of all dimming circuits,with a command execution accuracy rate of 100%.This solution provides an integrated hardware-software foundation for intelligent tunnel lighting and exhibits strong potential for practical engineering applications.

Abstract:In response to the problems of low efficiency and insufficient predictive ability in fault diagnosis of urban intelligent lighting systems,a fault diagnosis and prediction method based on recurrent neural network(RNN)is proposed to improve the intelligent level of system operation and maintenance.Firstly,construct a five layer system architecture based on smart lamp posts,integrating multi-source sensor data;Then analyze common types of faults and establish a fault feature library;Further design an RNN fault diagnosis and prediction model,utilizing its sequence modeling capability to process time series data;Train the network through backpropagation and gradient optimization algorithms,and introduce Dropout and early stop strategies to prevent overfitting.Through experimental comparisons with BP neural network models and LSTM methods,the results show that the RNN model has a fault diagnosis accuracy of up to 96.7%,a prediction lead time of up to 48 hours,and a mean square error(MSE)reduction of 32.5%compared to traditional BP networks.The advantages of RNN in capturing the temporal dependence of lighting system operation data,improving the accuracy and timeliness of fault diagnosis and prediction,and providing reliable technical support for intelligent operation and maintenance of urban lighting systems have been verified.

Abstract:This paper focuses on the intelligent control requirements of LED linear floodlights,systematically studies the implementation paths and system optimization methods of intelligent dimming technology,and on the basis of systematically sorting out the core technical principles such as PWM dimming and digital dimming protocols,mainly discusses the wireless communication networking solutions represented by Zigbee,Wi-Fi,and LoRa,as well as the technical paths for achieving environmental perception through the fusion of multiple sensors such as photosensitive and infrared sensors.At the same time,it explores and designs a complete control system,whose hardware core is a driver circuit with PWM dimming capability and sensor interfaces,and the software layer relies on the data processing and intelligent analysis capabilities of the Internet of Things cloud platform,with the aim of providing a reference for the large-scale application of LED linear floodlights.

Abstract:The stability of LED lighting driver power supplies is crucial for ensuring the efficient and reliable operation of lighting systems.From the perspective of electrical engineering automation,this paper analyzes the basic structure and working principle of LED driver power supplies,and explains their core role in LED lighting systems.The key factors affecting the stability of LED driver power supplies are discussed in detail.A series of techniques are proposed to improve their stability,aiming to provide theoretical and technical support for the stable operation of LED lighting driver power supplies.

Abstract:With the development of smart park construction,the comfort,energy efficiency and safety of the park's light environment have become important issues.Traditional static lighting design is difficult to meet the dynamic needs of multiple scenes.Based on digital twin technology,this paper constructs a virtual model of light environment in the park,and combines real-time sensing data to realize lighting demand prediction and adaptive control.The case analysis shows that the digital twin model can accurately predict the lighting demand of each functional area,dynamically adjust and optimize the lighting distribution and energy consumption,improve the comfort and uniformity of each area,and achieve significant energy saving.The research verifies the feasibility of the application of digital twin-driven light environment design in smart parks,and provides theoretical and practical reference for the optimization of park lighting.

Abstract:With the continuous rise in the demand for sustainable urban development,the concept of green buildings has become increasingly evident in the floodlighting projects of building facades.This article,relying on five major principles:safety,energy conservation and environmental protection,aesthetic coordination,intelligent controllability,and full life cycle cost control,combines cutting-edge technologies with engineering practices,comprehensively analyzes the design approaches,construction methods and evaluation systems of green floodlighting.By comparing the data of typical cases and applying technological innovations,the obvious benefits of green lighting in reducing energy consumption by 30%to 50% and minimizing light pollution have been verified,providing the industry with a reusable technical approach.In addition,by combining LED light sources with an intelligent dimming system,the lighting power density(LPD)can be achieved at≤3.5 W/m²,which is more than 40%lower than the traditional solution.By means of spectral screening and light pollution control,the upward light transmittance ratio can be controlled to≤1%,and the intensity of the overflow light is≤25 cd/m²,effectively reducing the disturbance to nocturnal organisms.The full life cycle cost management approach,such as equipment selection and modular construction,can extend the system's lifespan to more than 10 years,reduce maintenance frequency and minimize the generation of waste materials,achieving a dual benefit of economic and ecological benefits.