After more than 60 years of development, artificial intelligence technology has become increasingly mature and has begun to empower various industries. The control systems in the home appliance industry have continuously evolved alongside advancements in artificial intelligence. The State Council’s "Opinions on Deepening the Implementation of the 'Artificial Intelligence+' Initiative" requires that by 2027, the adoption rate of next-generation smart terminals, intelligent agents, and other applications exceed 70%, accelerating the implementation of the 'Artificial Intelligence+' Initiative through policy support. On the basis, reviews the development and applications of artificial intelligence technology, and summarizes its impact on the home appliance industry—manifested in product lifelikeness, natural interaction, spatial understanding, embodied action, and optimized feedback and adjustment—and proposes development trends for AI+integrated home appliances from product, technological, and standardization perspectives.

With the growing demand for smart sensing applications, non-contact body detection technologies have received widespread attention due to their significant advantages in privacy protection and user experience. The analysis method based on commercial Wireless Fidelity (Wi-Fi) Channel State Information (CSI) provides a low-cost and sensorless scenario for smart home security monitoring and other scenarios by capturing the subtle perturbations caused by human activities on the multipath propagation of wireless signals. A classification model based on threshold logical judgment was constructed. The features of human body states in space were extracted through conventional algorithms, and the detection of human body states in space was achieved by using signal processing and logical judgment. Through real experiments, it was verified that an accuracy rate of over 99% was achieved in three different experimental scenarios respectively. This model can achieve good perception and detection in different scenarios, realizing high-precision perception of the human existence state in the environment.

A risk scenario construction framework is proposed for smart home appliances based on the integration of Scenario Theory and Grounded Theory. Taking sweeping robots as a case study, we developed a dual-layer theoretical framework of "main categories-sub-categories", comprising 5 main categories (User, Device, Environment, Data Flow, and Risk) and 18 sub-categories. The framework systematically reveals the hierarchical interaction path of "User-Device-Environment-Data Flow-Risk". The research findings indicate that risk emergence stems from multi-factor interactions, with user behavior as the primary trigger, environmental factors exhibiting broad influence, and data flow security being critically significant. The model provides a structured theoretical foundation for risk identification in smart home appliances, enhancing the systematic design and operational effectiveness of risk prevention strategies.

In the field of smart home appliances, voice interaction has become the mainstream form of human-machine intelligent interaction. With the continuous development of voice interaction technology, it has gradually become a standard configuration for smart home appliances, and its application is particularly widespread in the smart air conditioning category. The success rate of speech recognition is not only a key evaluation criterion for speech interaction testing, but also a core element for improving user experience. However, the current voice interaction testing has problems with inconsistent and non-standard test sets, as well as different playback devices, which leads to a lack of comparability in voice test results and makes it difficult to clearly define the voice interaction level of different air conditioners. Therefore, develop a standard sample covers 5300 sentences of text and voice commands, as well as a dedicated human head, which can provide a unified evaluation tool for air conditioning Mandarin testing. This sample can effectively ensure the accuracy and reproducibility of speech test results, thereby avoiding the problem of excessive deviation in test results caused by different test data and playback devices. It can provide guidance for the improvement and research and development work of enterprises, as well as bring more reliable and unified evaluation basis for users.

As the target young users born in the 1990s, their demand stratification and priority for range hood products were systematically analyzed, guides the optimization of range hood product design, and improves young people's purchase and use experience. Through sorting out the demand dimensions and classification of range hood, using the form of online questionnaire survey, combining Kano model and AHP analytic hierarchy process, the demand attribute classification and weight distribution were obtained. The needs of target users show significant hierarchical differentiation. Through the weight ranking, the core of functional requirements is the effect of suction and discharge and automatic adjustment. The priority of "no smoke" and intelligent Internet is prominent in the experience demand, and the purchase demand is price sensitive. The KANO-AHP method is applied to extract the user demand model of range hood, and the differentiation strategy focusing on core functions and intelligent experience upgrading is proposed, which provides a theoretical basis and practical path for product innovation for young groups.

To improve the intelligent perception level of bathing environment comfort and address the limitations of traditional single-modal monitoring. By using multimodal fusion technology, multi-source data including temperature, humidity, wind sensation, air quality, sound, and light are integrated to construct an intelligent perception model based on Multilayer Perceptron (MLP). The model combines feature-level and decision-level fusion algorithms, and analyzes influencing factors such as data quality and model complexity. The model achieves accurate multi-dimensional evaluation of bathing environment comfort, providing data support for intelligent control of bathing appliances. Multimodal fusion technology effectively enhances perception accuracy. The research results lay a theoretical and technical foundation for optimizing the functions of bathing appliances and user experience. In the future, it is feasible to further expand data types and improve algorithm efficiency.

With the rapid development of multi-split systems, home-installed multi-split units are increasingly being accepted by families and users. At the same time, how to efficiently and swiftly integrate these systems into the smart home ecosystem has become a focal point of public interest. The networks of home-installed multi-split systems are extensive, with complex installation environments and communication network wiring. In the actual installation process, the common practice is to use pre-buried communication lines, which not only consumes a significant amount of time in layout but also leads to wastage of cable resources. Moreover, the installation and maintenance costs are high and the difficulty is substantial. Therefore, it is imperative to develop a wireless communication multi-split system solution that offers convenient installation, systematic monitoring, and intelligent control.

With the improvement of people's living standards, the requirements for the kitchen environment are becoming more and more stringent, and the traditional wind speed control method of range hood is difficult to adapt to the dynamic change of oil fume volume during cooking, resulting in poor oil fume treatment efficiency and serious energy waste. Develop an AI control system for the dynamic wind speed of range hoods. With the help of advanced AI technology, the environmental parameters in the cooking process can be monitored and accurately analyzed in real time, so as to realize the intelligent and dynamic control of the wind speed of range hoods. By comparing and screening various AI algorithms, the long-term and short-term memory network (LSTM) algorithm is selected to build the core model, and a series of work such as data collection, preprocessing, training and optimization are carried out around this model. Experiments show that the system has a wind speed regulation accuracy of over 90%, which can significantly enhance the effect of oil fume extraction and effectively reduce the concentration of PM_2.5. It creates a healthier, more comfortable and energy-efficient kitchen environment for users, demonstrating broad application prospects in the field of smart home.

Investigates the vibration and noise reduction of a household blender operating at high rotational speeds. Through comprehensive vibration and acoustic testing, structural noise induced by mechanical vibration was identified as the dominant noise source. The vibration transmission paths were systematically analyzed to determine critical isolation targets. Based on vibration isolation theory, isolators were optimally designed and deployed along the key transmission paths. Frequency response simulation verifies the compliance of the vibration isolation design. Experimental results demonstrated that the implemented isolation system achieved a 75.80% reduction in peak vibration amplitude and a 6.93 dB(A) decrease in overall sound pressure level. Establishes a systematic methodology for response analysis and vibration isolation optimization applicable to high-speed rotating machinery such as blenders.

To address the insufficient accuracy of traditional S-N curve-based methods in predicting the low-cycle pulse fatigue life of thin-walled electric water heater liners, a fatigue life prediction method based on the strain-life (ε-N) theory is proposed. Leveraging the HyperWorks platform, a pulse pressure life prediction model for the liner was constructed by combining OptiStruct static analysis under extreme conditions and the ε-N fatigue calculation module in HyperLife. The predicted fatigue life for the original liner model was 23,829 cycles, while physical testing yielded 18,926 cycles, resulting in an error of 25.9%. By optimizing the head curvature design, the plastic strain at critical areas was significantly reduced. The predicted life for the optimized model increased to 175,864 cycles, representing a 7.38-fold improvement over the original design. Physical testing of the optimized liner confirmed a life of 160,725 cycles, with the error reduced to 9.4%. The study demonstrates that this method effectively quantifies low-cycle fatigue damage in the liner, achieving prediction accuracy suitable for engineering applications. It drastically reduces the traditional reliance on physical testing, shortening the development cycle from weeks to 2 days~3 days and cutting R&D costs by approximately 70%, thus providing an efficient and high-precision solution for the reliability design and life prediction of pressurized components in household appliances.

To address the issue of uneven refrigerator door heights, a novel adjustable hinge model has been developed, enabling height adjustment to maintain door alignment. The study focuses on the overall design concept of the adjustable hinge, control of key risk points, and solutions to problems encountered during experiments. Simulation analysis and experiments were conducted from both the whole machine and individual component perspectives, verifying the reliability and practicality of the adjustable hinge, which surpasses conventional hinges. Regarding the risk of thread loosening in the adjustable hinge, theoretical calculations and experiments demonstrated that adding a fastening set screw eliminates the risk of loosening under actual working conditions. In response to issues such as salt spray corrosion and motion interference observed during experiments, the structure of the adjustment shaft was optimized, and materials were carefully selected. The optimal thread tolerance and grade were chosen based on practical operation convenience and reliability. Through the presented analysis and research, it has been demonstrated that the adjustable hinge not only retains all functionalities of conventional hinges, but also incorporates an adjustment capability, representing a technologically upgraded hinge model. This innovation provides a novel solution for effectively addressing refrigerator door misalignment issues, offering both theoretical guidance and practical methodology for appliance manufacturing optimization.

The carbon footprint of the refrigerator product's lifecycle from raw material extraction to manufacturing (i.e., "cradle-to-gate") was analyzed. The results show that metal materials (accounting for 55% of the carbon footprint in the raw material acquisition and production assembly stages) and polymer materials (accounting for 23% of the carbon footprint in the raw material acquisition and production assembly stages) are the two core emission sources in the raw material acquisition stage of refrigerator products, while aluminum materials (accounting for 72% of the metal carbon footprint) and PS and ABS plastics (accounting for 53% of the polymer carbon footprint) are the key carbon emission materials. The carbon emissions during the production and assembly stage of refrigerators mainly come from electricity consumption (accounting for 97% of the carbon footprint during the production and assembly stage) and the use of compressed air (accounting for 3% of the carbon footprint during the production and assembly stage). Targeted suggestions have been put forward for the selection of different types of raw materials and emission reduction in the design of refrigerator products.

To address the issue of cooling capacity degradation in household air conditioners under extreme operating conditions (outdoor temperature: 53 ℃, indoor temperature: 35 ℃/26 ℃ as enterprise standards), a high-pressure two-phase injection air conditioning system based on a single-stage vapor compression refrigeration cycle is proposed. First, a theoretical analysis is conducted to evaluate the impact of high-pressure two-phase injection on improving high-temperature cooling performance—specifically, its ability to reduce pressure ratio and discharge temperature at the same compressor frequency. A modified household air conditioner was set up in an enthalpy difference laboratory. With the auxiliary expansion valve opening fixed, key refrigeration system parameters were measured by adjusting compressor frequency and the main valve opening. This allowed analysis of the auxiliary circuit's effect on enhancing system cooling capacity and its influence on compressor operating parameters. Results show that the auxiliary circuit effectively reduces compressor discharge temperature under 53 ℃ conditions, with a maximum reduction of 26 ℃. By increasing frequency, cooling capacity can be improved by 8%, achieving nominal cooling performance. While the auxiliary circuit improves discharge temperature, it may reduce overall system cooling capacity. Therefore, when designing a vapor compression refrigeration system with high-pressure two-phase injection, refrigerant flow distribution between the main and auxiliary circuits must be carefully balanced.

Addresses the technical bottlenecks in the traditional hot sleeve assembly process for air conditioner compressor rotors, such as uneven heating temperatures, excessive energy consumption, and the risk of workpiece thermal deformation. It innovatively proposes a cold sleeve assembly process. Through a combination of theoretical analysis and experimental verification, the research found that under existing dimensional tolerances, a press-fit force of 17.1 kN would cause the radial deformation of the crankshaft secondary shaft to exceed the design allowable limit (radial deformation≤2 μm). After optimizing process parameters and employing a lubricant surface treatment technology, the mean press-fit force was successfully reduced by 3.41 kN while maintaining the force stability to meet the requirement of ≥3 MPa. Comparative test data demonstrated that implementing the cold sleeve process increased the compressor COP value by 0.4% and significantly improved the process capability index (Cpk) for assembly height dimensions from 1.09 to 2.92. The results confirm that the cold sleeve assembly process offers significant technical advantages in assembly accuracy control, energy savings, and product reliability enhancement, providing an innovative solution for the efficient and precision manufacturing of compressors.

Due to the high installation position of traditional duct air conditioners and the horizontal air outlet, when heating, the hot air floats in the upper space of the room and is difficult to reach the ground, which easily leads to the problem of "hot head and cold feet". In response to the above issues, based on the human body's comfort requirements for hot and cold air, an innovative reversible ventilation technology was proposed. This technology achieves the rotation of the fan casing through a driving mechanism. During cooling, the casing discharges cold air horizontally to the side; during heating, the casing rotates to an orientation with the outlet facing downward, thus enabling the discharge of hot air vertically downward. During cooling, the cold air is gently blown horizontally, and the cold air flow naturally settles in the room, achieving shower-type cooling. During heating, the hot air is vertically blown downward directly onto the floor, achieving warmth starting from the feet. Compared with conventional duct fans, the reversible air supply duct fan can deliver hot air to the ground more quickly. The average temperature at the human foot position increases by approximately 2.5 ℃.

To study the possibility of the microchannel heat exchanger (MHX) replacing the fin-tube heat exchanger (FHX) in heat pump air conditioning systems, a simulation analysis of the composite fins used in the MHX is conducted, and the effects of the louver angle and wave height on the flow and heat transfer was studied. The results show that when the air velocity is below 2.3 m·s^-1, a louver angle of 28° is optimal. A wave height of 1.0 mm is superior to 0.8 mm and 0.6 mm. Subsequently, the system defrosting performance of the outdoor unit using vertical-fined MHX and FHX is tested. The defrosting process is divided into the start-up, melting, and drainage stage. The total defrosting time of the MHX is 276 s, which is 45 s (19.5%) longer than that of the FHX. The duration of melting stage is 1.58 times that of the FHX, but the duration of the drainage stage does not increase significantly.

In order to improve the energy efficiency of the rotary two-stage compressor, the two-stage compression chamber uses structural mesh to divide the compression chamber, calls FORTRAN in CFX to control the radial movement of the nodes of the compression chamber, and simulates the primary and two-stage compression processes. Subsequently, experiments verify that the simulation model is accurate, providing theoretical support for energy efficiency improvement. Based on the validated model, three types of intermediate chambers are proposed, and hybrid configurations, the intermediate chamber is arranged inside the compressor, outside the compressor, and the hybrid structure of the two. The result analysis shows that the structure of the intermediate chamber determines the first stage exhaust pressure, second stage suction pressure, and pressure pulsation. The intermediate chamber is arranged inside the compressor, with low first stage exhaust pressure and large pressure pulsation, low power consumption, and optimal energy efficiency, providing support for subsequent energy efficiency improvement.

When air conditioning products are committed to achieving miniaturization of outdoor units, the installation and layout space of the electronic control system is drastically reduced, and the distribution density of internal electronic components significantly increases. Such spatial constraints lead to massive heat accumulation, causing the difficulty of heat dissipation to rise exponentially, which in turn triggers the temperature rise problem of the electronic control system.To effectively address this challenge, research was conducted focusing on heat dissipation components. By applying Bernoulli's principle, parameters such as air duct diameter and flow velocity were meticulously designed to achieve precise regulation of fluid pressure and flow rate. establishing a three-dimensional model with 120,000 grids through CFD simulation, combined with a built constant temperature environment testing system, to conduct multi-dimensional verification of the new dual-duct heat dissipation structure. Experimental data show that the optimized scheme reduces the temperature rise of the IPM module by 5.1% and improves the heat dissipation efficiency by 18.6%, showing significant advantages compared with traditional schemes and similar technologies reported in the literature. The research results provide quantifiable technical references for the miniaturization design of air conditioner outdoor units.

The capacity of an air conditioner is dynamically balanced with its noise level. An increase in capacity is typically accompanied by higher compressor speed and greater fan power, which in turn leads to increased noise. To address this phenomenon, the concept of energy-to-noise ratio (ENR) has been proposed. The ENR is defined as the effective capacity output per unit of noise, reflecting the “cost-performance ratio” of an air conditioner's comprehensive performance. A new evaluation system based on the ENR has also been proposed to meet the comprehensive evaluation needs for both performance and noise of household air conditioners. Through theoretical analysis of the correlation between air conditioning cooling/heating capacity and operating noise, an ENR mathematical model has been established. Multi-condition experiments have been designed to test several mainstream household air conditioners. The experimental results show that the ENR can effectively distinguish the comprehensive performance levels of different air conditioner products. Products in the high-efficiency zone maintain low noise levels while also having high energy efficiency. Further research has proposed a classification standard based on the ENR, providing a scientific basis for consumer selection and the formulation of industry standards.

As the core component of inverter air conditioner, the performance of intelligent power module (IPM) directly affects the energy efficiency, operation reliability and control accuracy of air conditioner. Monolithic integrated IPM is widely used in inverter air conditioner due to its advantages of ultra-high integration, low parasitic parameters and low switching loss. However, the reliability of domestically produced monolithic integrated IPM is significantly lower than that of overseas mainstream manufacturers. Introducing a detection circuit design method based on signal adaptive control and proposes multiple verification control logic to greatly reduce the probability of false detection caused by overcurrent and overtemperature protection. Experiments show that compared with the general scheme, at ambient temperatures of 25 °C and 75 °C, the filtering time of the overcurrent trigger signal (ITRIP) at the rising edge of the multi-verification circuit is adaptively extended by 14.7% and 41.2% respectively. And compared with the filtering time at 25 ℃, the filtering time delay at non-rising edge and rising edge is 23.2% and 24.1% respectively. This indicate that multi-check circuit solution based on signal adaptation has better filtering ability for interference signals, which can ensure the reliable and stable operation of the inverter air conditioner under all working conditions.

The SUS430 stainless steel insulation plate in the combustion chamber of the gas water heater has a problem of color fading at high temperatures. To address this issue, firstly a simulation test on the color change of stainless steel was conducted. Using the CIELAB color measurement system, the surface chromaticity change law of SUS430 stainless steel under high-temperature oxidation was studied, and the phase composition and morphology of the surface oxide film in different oxidation states were characterized. Meanwhile, the corrosion resistance data of stainless steel under different oxidation states were obtained. By correlating the corrosion resistance of stainless steel with the surface color change state, the corrosion mechanism of stainless steel under high-temperature oxidation was revealed. Further improvements were made to the air-cooling cooling channel and the structure of the stainless steel insulation plate to reduce the surface temperature of the combustion chamber. After six months of wind pressure blockage durability tests, the reliability of the optimized insulation plate was enhanced, and the color fading problem no longer occurred.