Abstract:Facing the global transition to green and low-carbon practices alongside environmental packaging regulations,the traditional foam cushioning packaging in the air conditioning industry is increasingly revealing issues related to resource consumption,recycling,and pollution.To adhere to green packaging principles and focus on packaging solutions for high-end cabinet air conditioners,a comprehensive application of material performance testing and simulation technology has been achieved,realizing the dual goals of enhancing foam cushioning performance and achieving green,lightweight materials.First,the key mechanical and energy absorption properties of expanded polystyrene(EPS)were systematically investigated,and its stress-strain constitutive model was established.Subsequently,a comprehensive simulation model encompassing the complete unit,foam cushioning structure,and corrugated carton was developed based on complex logistics scenarios.The model's accuracy was validated through experiments,and evaluation criteria for drop simulation were established.The results demonstrate strong consistency between the drop/clamp simulation outcomes and experimental data,with simulations effectively identifying potential weak points in advance and enabling structural optimization during the design phase.Furthermore,material reduction was implemented in non-load-bearing paths.The optimized foam structure achieved a 27 g reduction in material usage while maintaining transportation performance,alongside a 35％improvement in clamping energy absorption and an 8％increase in drop impact energy absorption.This approach significantly reduces carbon emissions and minimizes mold modification cycles.So validating the critical role of simulation technology in green cushioning packaging design and providing a feasible pathway for innovative packaging upgrades in the air conditioning industry.

Abstract:As an important heating equipment,researching energy-saving strategies for heat pump heating machines has significant practical significance.Propose a multi parameter correlation model based on supply water temperature,return water temperature,indoor and outdoor temperature,which avoids energy waste caused by continuous high water temperature operation by calculating the ideal return water temperature in real time.To verify the reliability and energy-saving effect of the model,experiments and field tests were conducted.The results show that this strategy can achieve dynamic adjustment of return water temperature,while ensuring comfort,the system energy saving rate is about 29％.Further field tests in Mohe City showed that under similar weather conditions and defrosting times,the average daily power consumption of the unit using this model was 45.74 kW·h,which was 19.36％lower than that of the conventional fixed water temperature(45 ℃)heating mode,and the energy-saving effect was significant.At the same time,the model effectively reduced the frequency of compressor start stop through dynamic adjustment(by 12.5％),and the indoor temperature remained stable at 26 ℃ after 24 hours of operation,achieving high efficiency and energy saving while ensuring thermal comfort,provides a reference for energy-saving optimization of heat pump heating systems in cold regions.

Abstract:With the popularity of household air conditioners,their operating noise has increasingly attracted consumers' attention.The noise from household air conditioners poses certain hazards to human health,quality of life,and the social environment,including sleep disturbance,hearing damage,psychological effects,and neighborhood disputes.At present,the main air conditioning noise reduction technologies are researched from four aspects:mechanical vibration control,aerodynamic noise optimization,structural improvement,and intelligent control.Research indicates that the future development of air conditioning noise reduction technology will be towards lightweight materials,intelligent adaptive control,and multi-physical field collaborative optimization,aiming to achieve lower noise emissions and higher energy efficiency.Provides theoretical basis and practical guidance for low-noise design of air conditioning products and rational use by users

Abstract:With the acceleration of urbanization,high-rise housing has become the mainstream form of living,and the diffusion of kitchen soot particles poses a serious threat to indoor air quality and residents' health.The physicochemical properties,diffusion mechanism and health risk assessment methods of cooking fume particles in high-rise residential kitchens are systematically reviewed,and the pollutant propagation law in the special environment of high-rise buildings is analyzed,and the optimization path and future trend of ventilation control technology are prospected.The results show that the thermal plume effect of soot particles(pm2 5/ufps)is dominant,and the chimney effect aggravates the cross household transmission in high-rise residential buildings;The design of air supplement system and the optimization of smoke exhaust duct structure are the key to control pollutant concentration;In the future,it is necessary to integrate intelligent monitoring,green materials and interdisciplinary research to build a healthy and safe kitchen environment.

Abstract:Addressing the discrepancies between the requirements for components in household appliance whole-product standards and the specific standards for components themselves,aims to systematically analyze these differences and provide clear compliance guidance for home appliance manufacturers.Using a comparative analysis approach,the research first outlines the requirements for key components in the latest whole-product standards,such as GB/T 4706.1-2024,and highlights the concerns of relevant stakeholders in the industry chain.It also summarizes the updates and revisions of current standards for major components.Subsequently,an in-depth comparative analysis was conducted to examine the alignment between whole-product standards and component standards in terms of specific requirements,categorizing them into two types:"covered by certification standards"and"not covered by certification standards."Finds that for most component products,their standards can adequately cover the requirements of whole-product standards.However,for certain components such as switches and relays,there are unresolved differences in key indicators like durability testing and test conditions,necessitating supplementary tests.Provides a theoretical foundation and practical guidance for enhancing standardization and compliance within the home appliance industry chain.

Abstract:With the widespread adoption of smart home appliances and the trend toward fully interconnected homes,users' demands for seamless device interaction and enhanced after-sales customer service have significantly increased.However,traditional customer service models have long faced challenges such as insufficient intelligence and fragmented user experiences.To address these issues,proposes and reviews the innovative application of the CARE interaction model—integrating human-computer interaction and intelligent technology in smart home appliance customer service.The CARE model comprises four key dimensions:Comprehension,Agent,Rapport,and Ensemble UI,emphasizing deep understanding of user intent,autonomous agent capabilities,empathetic human-like interactions,and unified multimodal interface designs.Firstly,introduces the context and background of intelligent customer service within the home appliance industry,followed by the theoretical foundations and framework of the CARE model.It then elaborates on each design dimension with comparative analysis and summarizes typical application strategies and practical implications of the model in the industry.The research indicates that the CARE interaction model effectively enhances the humanization and intelligence of smart customer service.Furthermore,by integrating large-scale AI models and interdisciplinary design methodologies,the CARE model will play an increasingly pivotal role in shaping innovative customer service solutions within the home appliance sector.

Abstract:With the integration of artificial intelligence(AI)and the Internet of Things(IoT),smart home voice interaction is evolving from functional command execution to demand understanding and proactive service.Intent Understanding is the core of this service,and its evaluation system is crucial for measuring voice assistant performance and user experience.Reviews the current status of evaluation for intent understanding in smart home voice interaction,systematically summarizing its technical evolution,datasets,and metric systems.Addressing existing limitations,it identifies three major challenges:difficulty in quantifying intelligence,insufficient coverage of complex interactions,and lack of corpus standardization.Further envisions a human-centered evaluation framework guided by user experience and emotional intelligence.Also puts forward three construction paths:standardizing data and scripts,unifying metrics and reporting protocols,and validating transferability between simulation and real-world scenarios,providing a reference for achieving human-centric intelligence evaluation.

Abstract:With the improvement of living standards,household appliances have increasingly rich functions,and electromagnetic compatibility(EMC)has become a key design indicator.As a widely used household appliance,the electromagnetic compatibility performance of air conditioners directly affects their operational reliability and the degree of interference with other devices.Taking the electromagnetic interference(EMI)problem of the switching power supply of variable frequency air conditioners as the research core,analyzes its generation mechanism,and proposes optimization solutions.Research shows that the high-frequency switching devices in the switch power supply generate differential and common-mode noise during rapid switching,and the loop design of the power circuit,the leakage inductance of the transformer,and parasitic parameters are the main sources of interference.Through theoretical analysis and experimental verification,the following suppression measures are proposed:optimized design of the transformer,circuit improvement,shielding and layout optimization.In a case of a voice air conditioner with 600 kHz～700 kHz conducted interference exceeding standards,experiments found that the design defect of the transformer shielding layer was the main cause of interference.By optimizing the shielding structure,the peak noise was significantly reduced,verifying the effectiveness of the solution.The research results provide practical guidance for the EMC design of air conditioners and emphasize the importance of reducing interference from the source.

Abstract:With the intensification of global population aging,the demand for elderly healthcare is increasingly urgent.Traditional health monitoring systems rely on wearable devices or single-point sensors,facing issues such as low compliance,data isolation,and poor user experience.Proposes an AI-driven multi-agent healthcare system in smart home environments,utilizing smart appliances(e.g.,refrigerators,mattresses,toilets)as behavior-sensing nodes to collect real-time behavioral data(e.g.,usage frequency,pressure distribution,toileting patterns).The system employs the LangGraph framework for multi-agent task coordination,integrating modules for health monitoring,device control,and behavior understanding,while analyzing health trends through expert rules and machine learning.By leveraging the"appliance-as-sensor"concept and user-friendly notification mechanisms,this system significantly enhances elderly user experience and addresses accessibility and privacy concerns,offering a novel solution for integrating smart homes with elderly care.

Abstract:An optimized defrosting control method based on the principle of hot gas defrosting is proposed to address the issues of reduced heating efficiency and operational stability caused by frost formation in heat pump air conditioners under low-temperature,high-humidity conditions.Compared to existing shutdown defrosting technologies,the hot gas defrosting technique significantly reduces system energy consumption and enhances indoor comfort by maintaining the four-way valve in a fixed position and optimizing the opening of the electronic expansion valve.Analyzed the effects of indoor fan airflow,outdoor fan speed,and compressor frequency on defrosting performance through psychrometric chart analysis and experimental validation.The results indicate that reducing the indoor fan speed can extend the defrosting duration by 14％to 40％and increase the outdoor unit coil temperature by 0.7 ℃;when the outdoor ambient temperature is above 0 ℃,activating the outdoor fan can utilize atmospheric heat sources to assist in defrosting;reducing the compressor frequency is more beneficial for defrosting performance,but indoor heating comfort should be considered when adjusting the above control parameters.

Abstract:To address the challenge of predicting the noise of range hoods,a research method combining experiments and simulations is proposed.Taking a top-suction range hood as the research object,three different combinations of air cabinets and impellers are selected for the study.Noise measurements under different operating conditions are carried out within the rotational speed range of 900 r/min～1600 r/min to collect noise data.The analysis reveals that the air volume Q,power P,and operating noise Lw satisfy a multivariate logarithmic function relationship,and the final relational expression Lw=k1+k2·lg(Pk3·Qk4)is proposed.

Abstract:A series of phosphate glasses containing antibacterial components were prepared by the melt-quenching method,and the effects of CaO content and temperature on the dissolution rate,structural characteristics,and antibacterial performance of the glasses were systematically investigated.The results showed that CaO content had a significant influence on the dissolution behavior:Ca2+,acting as a network modifier,enhanced the three-dimensional cross-linking degree of the glass,thereby reducing weight loss and extending service life;glasses with higher CaO content exhibited better stability against temperature variations.Antibacterial tests revealed that sample G-6 achieved the optimal balance between sustained ion release and antibacterial efficacy,with an inhibition rate of 99.9％against E.coli after 1 h of exposure,and a theoretical service life of approximately 2.5 years.Further studies indicated that an appropriate increase in ZnO whisker content allowed the maintenance of excellent antibacterial performance at a lower Ag2O dosage,thereby improving material safety.XRD and EDS analyses confirmed that the glasses were amorphous,with Ag,Zn,and Cu antibacterial ions uniformly distributed within the glass matrix,enabling sustained release.The prepared phosphate antibacterial glasses demonstrate long-term controlled-release and efficient antibacterial properties,making them suitable for use in non-potable water systems such as washing machines,rotary floor scrubber,and humidifiers.

Abstract:With the rapid development of artificial intelligence technologies such as large models and intelligent agents,and the utilization of large model decision-making to control smart home appliance scenarios,smart homes are evolving towards"scenario-based"and"personalized"directions through multi-agent decision-making technology.However,there are currently major issues such as complex smart home scenario configurations,fragmented communication protocols between devices,and deviations in understanding user intentions.To address these issues,a joint decision-making technology based on the large model decision-making framework is proposed,utilizing"one-click group formation"for intelligent agents.Through three innovative modules:MCP dynamic group formation,vertical domain large model interaction,and group definition-driven decision-making,dynamic generation and adaptive regulation of smart home scenarios are achieved.Experiments show that this technology is superior to traditional solutions in terms of cross-protocol communication delay,scenario adaptability accuracy,and user configuration efficiency,providing new ideas for the intelligent upgrade of smart home scenarios.

Abstract:The unique upward airflow field of the top outlet outdoor unit of the air conditioner adds diversity to the installation scenarios of the air conditioner.The design of the top cover grille of the external unit must meet the strength requirements such as falling,trampling,and random vibration during transportation,while also considering the air volume during operation and ensuring lean manufacturing and cost control.The top out style grille is formed by sheet metal stamping,where the number of grilles determines the blade angle and blade strength.In order to improve the strength of the grille,reduce the risk of tearing at the root of the grille,and minimize the overall airflow,simulations and measurements were conducted to investigate the effects of different numbers of grilles on airflow and structural strength.Increasing the diameter of the inner circle of the grille by 20 mm and reducing the number of grilles by 5 can reduce stress by 1/2 and increase air volume by an average of 3.5％.

Abstract:There is a"breathing effect"in the refrigerating operation of refrigerator,and the air between the inside and outside of the refrigerator will exchange heat and mass with the"breathing effect".By using CFD,the influence of external airflow changes on the heat exchange of defrosting drainage pipes was studied,and the impact of drain pipe position,air hole direction,etc.on the energy efficiency of frost-free refrigerator was verified through experiments.It has been proved that when the defrosting drain pipe is far from the condenser fan and the air holes are away from the airflow of the condenser fan,it is beneficial to the power consumption of the refrigerator.Compared with being close to the condenser fan and facing the airflow directly,the average annual power consumption can be reduced by approximately 3.10％.

Abstract:Addressing the defect of conventional methods in capturing dynamic friction coefficient variations during drawer sliding processes,a dynamic analysis framework for dry-friction drawer systems was established by integrating finite element numerical simulation with a modified dry friction model.Systematic experimental comparisons validate the accuracy of the method in predicting dynamic behaviors.Results show that a significant negative correlation between friction coefficient and contact pressure,revealing the non-constant nature of friction.High consistency in dynamic response trends and key amplitudes between simulations and experiments,confirming method reliability and precision.The proposed"FEM coupled with modified dry friction model"approach effectively captures nonlinear friction-structure coupling during sliding,significantly enhances push-pull force prediction capability,and provides a theoretical tool for design optimization,user experience improvement,and lifespan prediction of drawer systems.

Abstract:The flow field distribution characteristics of the refrigerator air duct system are the key factors affecting the refrigerator cooling efficiency and room temperature uniformity.In the past,air duct design mainly relied on CFD flow field simulation,which had inherent limitations,especially single-cycle air-cooled refrigerators,which were difficult to directly evaluate the rationality of room cooling allocation,and the whole room temperature field simulation faced many challenges due to the complexity of the model and the large amount of mesh.In order to accurately evaluate the air volume distribution,a single-system air-cooled refrigerator was taken as the object,and the CFD simulation results were compared with the test data to verify the quantitative relationship between the air volume distribution and the temperature field,which was verified to control the temperature simulation error of the refrigeration and freezer chamber within±2 ℃.Based on this model,different air duct schemes can be evaluated and optimized in advance at the product design stage,reducing the dependence on physical prototypes,providing a standardized evaluation basis for the air duct design of air-cooled refrigerators,thereby shortening the development cycle and achieving better system energy efficiency matching.

Abstract:With the increasingly sophisticated application of artificial intelligence technology in household appliances,smart appliances are evolving rapidly.This is especially true for products equipped with reasoning large models,which are characterized by swift changes,complex varieties,and diverse functionalities.Given the unpredictable inputs and outputs,traditional single,one-time testing methods are inadequate for scientifically evaluating the intelligence capabilities of smart appliances.This poses new and more challenging issues for the testing industry.An in-depth exploration from the three dimensions of standards and regulations,testing methods and tools,and testing personnel is conducted.Solutions such as highly adaptable testing methods,rapidly responsive intelligent testing tools,and versatile testing professionals are proposed,providing new directions and insights for the development of the smart appliance testing industry in the face of applied cross-cutting technologies.

Abstract:Systematically interprets the key contents of the group standard T/CAS 991.5-2025"Specifications for Quality Grading of Home Building Materials Products,Part 5:Smart Cameras for Household and Similar Purposes."It focuses on analyzing the technical requirements of the standard's basic,key,and featured indicators,and clarifies its quality grading logic and evaluation methods.By summarizing the appendix testing content,including App operating experience,night vision capabilities,image clarity,and minimum illumination,it helps companies understand the standard's implications and promotes product quality improvements in the smart camera industry.

Abstract:There is limited research on the impact of return duct diameters on the performance of air conditioning systems.To investigate the patterns of their influence on performance and summarize design methods,simulation and experimental studies were conducted using return ducts with diameters of φ15.88 mm and φ12.7 mm,thereby obtaining the patterns of how duct diameters affect performance under both cooling and heating conditions.The verification results indicate that using a smaller duct diameter of φ12.7 mm results in a pressure drop approximately 4300 to 4600 Pa greater than that of φ15.88 mm.Due to the different specific volumes of suction under cooling and heating conditions,changes in duct diameter have minimal impact on cooling performance but significantly affect heating performance,reducing capacity by 2％.This verification reveals the key patterns of how return duct diameters affect air conditioning systems,providing important insights for optimizing the selection of return ducts and enhancing system performance.