As smart home devices pursue high efficiency and energy saving, the indoor single radar chair, as a product integrating millimeter-wave radar, intelligent interaction and other functions, has become a key factor restricting its development. Breakthroughs in energy consumption control and low-power operation technology require coordinated efforts from multiple dimensions such as hardware optimization, software algorithm innovation, and energy management system upgrades.
Hardware-level optimization is the basis for achieving low power consumption. First of all, the selection of low-power chips is the core. The main control chip and signal processing chip in the indoor single radar chair can use low-power microprocessors based on the ARM architecture, which can reduce dynamic power consumption by 30% - 50% compared with traditional chips. For example, in the millimeter-wave radar module, a low-power radar chip is used to optimize the RF front-end circuit design to reduce the transmission power while ensuring detection accuracy. Secondly, optimize the selection and layout of sensors. Use wake-up sensors, which are only activated when someone approaches or uses them, and are usually in a dormant state; reasonably layout sensors to avoid repeated energy consumption caused by overlapping functions, such as coordinating the millimeter-wave radar with the pressure sensor to reduce the long-term high-load operation of a single sensor.
Software algorithm innovation is the key to reducing energy consumption. Through intelligent sensing algorithms, the indoor single radar chair can accurately identify the user's status and achieve dynamic power consumption adjustment. For example, when it is detected that the user has left the seat for more than a certain period of time, the system automatically enters deep sleep mode, turns off non-essential modules, and only retains the low-power wake-up detection function. At this time, the overall energy consumption can be reduced to less than 5% of normal operation. During the user's use, the user's behavior is analyzed based on the machine learning algorithm, the use needs are predicted, and the corresponding functional modules are started in advance to avoid long-term activation of all functions. For example, according to the user's reading, watching movies and other different scene habits, the seat tilt angle, the start and stop and intensity of the massage function are automatically adjusted to meet the needs while reducing invalid energy consumption.
The upgrade of the power management system can significantly improve energy utilization efficiency. The use of efficient power conversion modules increases the AC-DC conversion efficiency to more than 95%, reducing the loss of electric energy during the conversion process. Energy recovery technology is introduced to convert the mechanical energy generated by seat adjustment and massage mechanism movement into electrical energy through a micro generator, which is stored in a supercapacitor or lithium battery for auxiliary power supply. At the same time, a hierarchical power supply strategy is designed to divide the functional modules of the indoor single radar chair into key systems (such as radar detection, security control) and non-key systems (such as atmosphere lights, entertainment modules). In low power or low power consumption mode, key systems are prioritized, non-essential modules are dynamically shut down, and battery life is extended.
Low power consumption improvement of wireless communication technology is an important breakthrough. Indoor single radar chairs often need to be connected to smart home devices, and traditional Bluetooth and Wi-Fi communication modules have high energy consumption. Low-power Bluetooth (BLE) or Zigbee technology can be used, which consumes only 1/10 - 1/5 of traditional Bluetooth and supports long-distance, multi-device networking. In addition, the communication protocol is optimized, and data compression and caching technology is used to reduce the frequency and amount of data transmission and the working time of the communication module. For example, data interaction is only performed when the user status changes or a control command is received, and it is usually kept silent to further reduce energy consumption.
Thermal management and heat dissipation design indirectly help low-power operation. Reasonable thermal management can avoid frequency reduction due to chip overheating, thereby reducing energy consumption. High-efficiency heat dissipation materials such as graphene heat dissipation film and heat spreader are used inside the indoor single radar chair to quickly export the heat of heat-generating components such as chips. At the same time, an intelligent temperature-controlled fan is designed to automatically adjust the speed according to the internal temperature to avoid the additional energy consumption caused by the continuous high-speed operation of the fan. In addition, by optimizing the structural design, increasing the air circulation channel, and using natural convection to assist heat dissipation, the dependence on active heat dissipation equipment is reduced.
Modular design and dynamic configuration provide flexibility for energy consumption control. The functions of the indoor single radar chair are divided into independent modules, and users can choose to enable or disable some modules according to actual needs. For example, for users who only need basic sitting posture monitoring functions, massage, entertainment and other modules can be turned off to reduce overall energy consumption. At the same time, in the production stage, customized hardware configuration solutions are provided according to different usage scenarios to reduce redundant functions and control energy consumption from the source.
Testing and optimization are the guarantee for achieving low-power operation. By building a simulated test environment, the energy consumption of the indoor single radar chair in different scenarios and different working conditions is accurately measured and analyzed. Using energy consumption analysis software, high-energy consumption links are located, and hardware design and software algorithms are optimized in a targeted manner. For example, through testing, it was found that the energy consumption of millimeter-wave radar was too high in a specific detection mode. The scanning frequency and detection range of the radar can be adjusted to reduce power consumption while meeting the accuracy requirements, and continuous iterative improvements can be made to ultimately achieve the goals of energy control and low-power operation.
