Shenzhen Rion Technology Co., Ltd.

.gtr-container-x7y2z9 { font-family: Verdana, Helvetica, "Times New Roman", Arial, sans-serif; color: #333; line-height: 1.6; padding: 16px; max-width: 100%; box-sizing: border-box; } .gtr-container-x7y2z9 p { font-size: 14px; margin-bottom: 1em; text-align: left !important; word-break: normal; overflow-wrap: normal; } .gtr-container-x7y2z9 strong { font-weight: bold; color: #0000FF; } .gtr-container-x7y2z9__heading-main { font-size: 18px; font-weight: bold; color: #0000FF; margin-top: 2em; margin-bottom: 1em; padding-bottom: 0.5em; border-bottom: 2px solid #0000FF; text-align: left; } .gtr-container-x7y2z9__heading-main:first-child { margin-top: 0; } .gtr-container-x7y2z9__heading-sub { font-size: 14px; font-weight: bold; color: #333; margin-top: 1.5em; margin-bottom: 0.8em; text-align: left; } @media (min-width: 768px) { .gtr-container-x7y2z9 { padding: 24px 40px; max-width: 960px; margin: 0 auto; } .gtr-container-x7y2z9__heading-main { margin-top: 2.5em; margin-bottom: 1.2em; } .gtr-container-x7y2z9__heading-sub { margin-top: 2em; margin-bottom: 1em; } } Product Overview The LCA318T/LCA328T is a compact MEMS Sensor designed for accurate tilt and inclination measurement in industrial environments. Available in single-axis and dual-axis configurations, this Tilt Sensor features a standard 4–20mA output, IP67 protection, and long-distance signal transmission capability of up to 2000 meters. Its small size, low power consumption, and high resistance to electromagnetic interference make it suitable for demanding Industrial Monitoring applications. As a reliable Inclinometer, the sensor supports measurement ranges from ±30° to 360° with an accuracy of up to ±0.1°, enabling precise angle detection in both static and slow-moving systems. Key Features High Accuracy and Stability The LCA318T/LCA328T delivers measurement accuracy up to ±0.1° with excellent long-term stability and a resolution as fine as 0.02°. Rugged Industrial Design Designed for harsh environments, the sensor operates from -40°C to +85°C, withstands vibration levels above 3500g, and offers IP67 protection against dust and water ingress. Flexible Integration With a wide input voltage range of 9–36V DC and industry-standard 4–20mA output, the sensor can be easily integrated into industrial control and monitoring systems. How It Works The sensor utilizes advanced capacitive MEMS technology. Inside the device, a micro-mechanical pendulum responds to the Earth's gravitational field. When the sensor tilts, the gravitational component acting on the pendulum changes, causing a variation in capacitance. The internal circuitry amplifies and filters this signal before converting it into a precise inclination angle output. Because the measurement is non-contact, the sensor provides stable real-time angle data with excellent reliability and minimal wear over time. This operating principle makes the sensor ideal for applications requiring continuous position and attitude monitoring. Conclusion The LCA318T/LCA328T MEMS Tilt Sensor combines compact design, high accuracy, and robust industrial performance. It is widely used in Construction Equipment, platform leveling, antenna positioning, and vehicle chassis measurement. Additionally, it can support advanced applications such as Structural Health Monitoring, Bridge Monitoring, and Solar Tracking System installations where accurate inclination data is essential for operational safety and performance. As industrial automation continues to evolve, reliable inclinometer technology remains a critical component of modern monitoring solutions.

.gtr-container-mems-gyro-789xyz { font-family: Verdana, Helvetica, "Times New Roman", Arial, sans-serif; color: #333; line-height: 1.6; padding: 16px; box-sizing: border-box; } .gtr-container-mems-gyro-789xyz p { font-size: 14px; margin-bottom: 1em; text-align: left !important; word-break: normal; overflow-wrap: normal; } .gtr-container-mems-gyro-789xyz-title { font-size: 18px; font-weight: bold; color: #0000FF; margin-bottom: 1.5em; text-align: left !important; } .gtr-container-mems-gyro-789xyz-subtitle { font-size: 16px; font-weight: bold; color: #555; margin-top: 2em; margin-bottom: 0.8em; text-align: left !important; } .gtr-container-mems-gyro-789xyz ul { list-style: none !important; padding-left: 20px; margin-bottom: 1em; } .gtr-container-mems-gyro-789xyz ul li { position: relative; padding-left: 15px; margin-bottom: 0.5em; font-size: 14px; text-align: left !important; list-style: none !important; } .gtr-container-mems-gyro-789xyz ul li::before { content: "•" !important; position: absolute !important; left: 0 !important; color: #0000FF; font-size: 1.2em; line-height: 1; } @media (min-width: 768px) { .gtr-container-mems-gyro-789xyz { max-width: 960px; margin: 20px auto; padding: 24px; } .gtr-container-mems-gyro-789xyz-title { font-size: 20px; } .gtr-container-mems-gyro-789xyz-subtitle { font-size: 18px; } } High-Precision Phase Error Identification for MEMS Gyroscopes MEMS gyroscopes are key angular velocity sensors in inertial navigation, valued for their low cost, small size, and low power consumption. They operate on the Coriolis principle, using electrostatic drive and capacitive sensing, and can be modeled as a mass-spring-damper system. However, their performance is degraded by errors such as frequency split, stiffness coupling, and especially temperature-induced demodulation phase error, which worsens zero-rate output (ZRO). A team from Beihang University, Zhejiang University, and Nanjing University of Science and Technology proposed a high-precision phase error identification method that requires no extra instruments. By applying electrostatic forces to quadrature correction electrodes, the demodulation phase error can be identified over the full temperature range. Experiments confirmed its consistency and accuracy. The method, based on quadrature-voltage-induced equivalent angular rate (QIR), was compared with the Coriolis-induced equivalent rate (CIR) approach using four quad-mass gyroscopes (QMGs). Tests across temperatures showed QIR compensation yielded smaller ZRO and better repeatability. Keys: Phase compensation RMSE reduced by 54–86% ZRO repeatability improved by 35–95% Bias instability by 50–75% Angle random walk by 62–69% Future work aims at self-calibrating, real-time phase error identification. Link to the thesis:

.gtr-container-x7y2z1 { font-family: Verdana, Helvetica, "Times New Roman", Arial, sans-serif; color: #333; line-height: 1.6; padding: 16px; max-width: 100%; box-sizing: border-box; } .gtr-container-x7y2z1 .gtr-title { font-size: 18px; font-weight: bold; color: #0000FF; margin-bottom: 16px; text-align: left !important; } .gtr-container-x7y2z1 p { font-size: 14px; margin-bottom: 1em; text-align: left !important; word-break: normal; overflow-wrap: normal; } .gtr-container-x7y2z1 ul { list-style: none !important; padding-left: 20px; margin-bottom: 1em; position: relative; } .gtr-container-x7y2z1 ul li { font-size: 14px; margin-bottom: 0.5em; position: relative; padding-left: 15px; text-align: left !important; list-style: none !important; } .gtr-container-x7y2z1 ul li::before { content: "•" !important; color: #0000FF; position: absolute !important; left: 0 !important; font-size: 14px; line-height: 1.6; } @media (min-width: 768px) { .gtr-container-x7y2z1 { padding: 24px; max-width: 960px; margin: 0 auto; } .gtr-container-x7y2z1 .gtr-title { font-size: 20px; margin-bottom: 20px; } .gtr-container-x7y2z1 p { margin-bottom: 1.2em; } .gtr-container-x7y2z1 ul { padding-left: 25px; } .gtr-container-x7y2z1 ul li { padding-left: 20px; } } The World’s Smallest AI MEMS Vibration Sensor Platform Set to Debut in 2026 A leading provider of ultra-low-power compute, voice, and edge AI sensing solutions, Upbeat Technology, has confirmed it will participate in Sensors Converge 2026, taking place May 5–7, 2026 in California, USA, where it will also deliver a keynote presentation. At the event, Upbeat will comprehensively showcase its next-generation high-bandwidth MEMS vibration sensors and Vibration Processing Unit (VPU) portfolio, encompassing the UPM01 and UPM02 series, together with the UP201/301 dual-core RISC-V architecture AI microcontroller (MCU). These components all emphasize miniaturized design and are engineered to deliver superior voice clarity and forward-looking AI predictive capabilities. Upbeat will also set up live demonstration environments, exhibiting the new Falcon development kit, machinery vibration monitoring solutions, and end applications such as open wearable stereo (OWS) headsets, smart glasses, AI voice recorders, AI smart toys, and drones. The UPM01/UPM02 series MEMS vibration sensors, often referred to as bone conduction microphones (BCM), are housed in an ultra-compact package measuring just 3.2 mm × 2.5 mm. Paired with them, the UP201 dual-core RISC-V AI microcontroller comes in a package of only 3.0 mm × 3.0 mm. Together, they form Upbeat’s “Tiny AI Engine” – a platform positioned as the world’s smallest AI MEMS vibration sensor platform, combining high efficiency with ultra-low power consumption to infuse on-device AI capabilities into products such as wearables, industrial systems, drones, and consumer electronics. In terms of interface options, the UPM01 series offers multiple derivatives: the UPM01A with analog output the UPM01Ax with high-sensitivity analog output the UPM01D with digital output the UPM01Dx with high-sensitivity digital output The UPM02 series goes a step further, supporting both analog and digital interfaces natively while delivering a higher signal-to-noise ratio, making it particularly well-suited for applications demanding exceptional audio clarity. Regarding availability, the UPM01/UPM02 series is already in mass production and shipping, while the UP201/UP301 is expected to begin deliveries starting October 2026.

.gtr-container-f7d2e1 { font-family: Verdana, Helvetica, "Times New Roman", Arial, sans-serif; color: #333; line-height: 1.6; padding: 15px; overflow-x: auto; } .gtr-container-f7d2e1 p { font-size: 14px; margin-bottom: 1em; text-align: left !important; word-break: normal; overflow-wrap: normal; } .gtr-container-f7d2e1 strong { font-weight: bold; color: #0000FF; } .gtr-container-f7d2e1 .gtr-heading-main { font-size: 18px; font-weight: bold; margin-top: 20px; margin-bottom: 15px; color: #0000FF; text-align: left; } .gtr-container-f7d2e1 .gtr-heading-sub { font-size: 16px; font-weight: bold; margin-top: 25px; margin-bottom: 10px; color: #333; text-align: left; } .gtr-container-f7d2e1 ul { list-style: none !important; padding-left: 25px !important; margin: 10px 0 !important; } .gtr-container-f7d2e1 ul li { position: relative !important; padding-left: 20px !important; margin-bottom: 8px !important; font-size: 14px !important; line-height: 1.6 !important; text-align: left !important; list-style: none !important; } .gtr-container-f7d2e1 ul li::before { content: "•" !important; position: absolute !important; left: 0 !important; color: #0000FF !important; font-size: 14px !important; line-height: 1.6 !important; } .gtr-container-f7d2e1 img { margin-top: 20px; margin-bottom: 10px; } .gtr-container-f7d2e1 .gtr-image-caption { font-size: 12px; color: #666; margin-top: 5px; margin-bottom: 20px; text-align: left; } .gtr-container-f7d2e1 .gtr-references { margin-top: 30px; padding-top: 15px; border-top: 1px solid #eee; } .gtr-container-f7d2e1 .gtr-references p { font-size: 14px; margin-bottom: 0.5em; } .gtr-container-f7d2e1 .gtr-references a { color: #0000FF; text-decoration: none; } .gtr-container-f7d2e1 .gtr-references a:hover { text-decoration: underline; } @media (min-width: 768px) { .gtr-container-f7d2e1 { padding: 25px 50px; } .gtr-container-f7d2e1 .gtr-heading-main { font-size: 20px; } .gtr-container-f7d2e1 .gtr-heading-sub { font-size: 18px; } } A More Accurate Micro Accelerometer: A New Breakthrough in MEMS Technology Main Text: Accelerometers are essential core components in smart devices, automotive safety systems, and aerospace applications. They are responsible for sensing motion, vibration, and even orientation changes, directly affecting the safety and reliability of these systems. Recently, a study based on MEMS (Micro-Electro-Mechanical Systems) technology proposed a novel asymmetric pendulum capacitive accelerometer, achieving significant performance improvements. 1. What is a MEMS Accelerometer? A MEMS accelerometer is a miniature sensor whose core principle is:When a device experiences acceleration, its internal microstructure undergoes displacement, which changes capacitance or voltage signals.By detecting these changes, the magnitude of acceleration can be calculated. 2. What Makes This Research Different? Traditional accelerometers mostly use symmetric structural designs. This study introduces a key innovation:Asymmetric proof mass structure This design allows the sensor to: Produce displacement more easily (higher sensitivity) Achieve better structural stability Improve resistance to interference Figure 1. Mechanical model of pendulum accelerometer 3. How Good Is the Performance? Experimental results show that this new sensor achieves: Sensitivity: 1.247 V/g (better detection of small changes) Nonlinearity: only 0.8% Stability: significantly better than traditional products In simple terms:More accurate measurements, lower error, and more stable long-term performance 4. Key Technologies Behind It In addition to structural innovation, the study also optimizes several aspects: MEMS microfabrication processes (silicon etching + glass bonding) Damping optimization (reducing air effects) High-precision interface circuits (amplifying weak signals) These technologies work together to achieve overall performance improvements. Figure 2. Layout of the pendulum accelerometer. 5. Application Scenarios This high-performance accelerometer can be used in: Automotive safety systems (airbag triggering) Industrial vibration monitoring Aerospace navigation systems Precision instrument attitude control 6. Future Development Directions Researchers suggest future improvements may include: ASIC chip integration Higher-precision circuit design These advancements could further enhance performance and enable greater miniaturization. References (Core Paper)