20results about How to "Low Power Features" patented technology

The invention discloses a plant disease and insect pest detection method and system, and belongs to the field of forestry production. In order to solve the problems of poor precision and time consumption of existing plant disease and insect pest detection, the invention provides a plant disease and insect pest detection method which comprises the following steps: acquiring a visible light image of a plant in a nursery garden and three-dimensional depth information of the plant to obtain an RGB-D image; dividing the RGB-D image into a plurality of equal-size grids, preprocessing the grids, inputting the grids into the deep learning model for detection, and finally obtaining a plant disease and insect pest detection result. According to the detection method, the three-dimensional depth information of the plant is introduced, so that the position and the range of the pest and disease damage can be more accurately judged; meanwhile, the robustness of the deep learning model is enhanced, and the model can still accurately detect diseases and insect pests under the condition that the illumination condition is poor; the whole detection method not only improves the detection accuracy, but also improves the detection efficiency, so that real-time and automatic disease and pest detection can be realized in a field environment, and the method is suitable for large-scale popularization and application. The system is simple in structural composition, real-time processing and analysis are carried out while data are collected, the complexity of installation and maintenance is reduced, and the real-time performance of the whole detection process is enhanced.

The invention discloses a five-degree-of-freedom permanent magnet biased magnetic suspension blood pump which comprises a pump shell, a rotor impeller, a magnetic suspension bearing and a motor used for driving the rotor impeller to rotate and do work, the magnetic suspension bearing comprises a bearing stator and a bearing rotor, and the bearing stator is fixed in an inlet pipe; the stator comprises an annular stator core and stator magnetic rings distributed at the two axial ends of the stator core, a plurality of first stator teeth are arranged on the inner wall of the stator core in the radial direction, and each first stator tooth is wound with a first coil; the bearing rotor is fixed in the pump rotor, the bearing rotor comprises a rotor iron core, rotor teeth are arranged on the outer circumferential surface of the rotor iron core, and the multiple first stator teeth are arranged opposite to the rotor teeth in the radial direction; the stator magnetic rings located at the two axial ends of the stator iron core are magnetized in the axial direction, the magnetizing directions are opposite, and closed magnetic loops can be formed between the stator magnetic rings and the stator iron core and between the stator magnetic rings and the rotor iron core. Five-degree-of-freedom suspension control can be achieved, the size is small, and power consumption is low.

The invention discloses a smelting furnace temperature measurement system which comprises at least one thermodetector handheld end, at least one LoRa base station and an intelligent temperature control center. Wherein the thermodetector handheld terminal and the LoRa base station carry out wireless data transmission through LoRa communication; and the LoRa base station and the intelligent temperature control center carry out wired data transmission through an RS485 interface. According to the system, the precision, the stability and the intelligent level of temperature measurement of the smelting furnace are remarkably improved, the operation difficulty is reduced, the integrity and the safety of data management are enhanced, and a powerful technical guarantee is provided for quality control and production efficiency improvement of the casting industry.

The invention relates to the technical field of Bluetooth headset equipment, in particular to a vehicle-mounted Bluetooth headset communication system integrated with a Hall sensor based on the application of the Hall sensor. The equipment comprises a detachable Bluetooth earphone and a charging base, wherein the Bluetooth earphone is electrically connected with the charging base and an automobile electrical system. The control device arranged in the Bluetooth earphone and the charging base communicates with the mobile phone through Bluetooth, so that when the mobile phone receives an incoming call, a user can answer the call only by taking out the Bluetooth earphone from the charging base, the convenience in use and the safety in driving are enhanced, and meanwhile, the privacy of the call is increased.

The application relates to an artificial intelligence network, and particularly discloses a memristor convolutional neural network weight training method and device. A plurality of differential circuits are used to form a memristor array of a neural network hardware system, each two devices form a differential circuit, and at least one of the two devices comprises a memristor. The method comprises the following steps: binding the two devices forming each differential circuit to form a neuron; mapping the weight of the neuron according to the difference between the electrical parameters of the two devices; updating the neuron weight by applying a single-step pulse to obtain the update direction of the neuron weight; when the update direction of the weight is positive, applying a positive single-step pulse to the memristor to update the neuron weight again; when the update direction of the weight is negative, applying a negative single-step pulse to the memristor to update the neuron weight again; and when the weight update iteration of all neurons reaches a convergence condition, the iteration is ended to complete the training. The weight update calculation process of the memristor neural network system is simplified, and the consumption of the calculation resources in the process is reduced.

The invention discloses a constant-air-gap zero-power unbalance-load-resistant dual-active hybrid magnetic levitation system and a control method, and relates to the technical field of magnetic levitation, the constant-air-gap zero-power unbalance-load-resistant dual-active hybrid magnetic levitation system comprises a variable-bias hybrid magnetic levitation unit, the variable-bias hybrid magnetic levitation unit comprises a worm and gear reduction gearbox, and one end of the worm and gear reduction gearbox is connected with a servo motor; two F-shaped iron cores are arranged on one side of the servo motor, an opening is formed in the connecting position of the two F-shaped iron cores, a disc-shaped radial magnetized permanent magnet is arranged in the opening, and a first electromagnetic coil and a second electromagnetic coil which are used for active control are arranged below the disc-shaped radial magnetized permanent magnet and the F-shaped iron cores. According to the constant-air-gap zero-power unbalance-load-resistant dual-active hybrid magnetic suspension system and the control method, the rotating angle of the permanent magnet and the current of the electromagnetic coil are actively and cooperatively adjusted according to the state of the system to change the effective magnetic flux at the working air gap, so that the magnetic force is adjusted to maintain stable suspension; coordinated optimization of constant air gap and low power consumption characteristics of the hybrid suspension system is realized.

The five-degree-of-freedom permanent magnet biased magnetic suspension bearing comprises an outer stator set and an inner rotor set, the outer stator set comprises a stator iron core and two stator magnetic rings arranged at the two ends of the stator iron core respectively, a plurality of stator teeth are arranged on the inner wall of the stator iron core in the radial direction, and coils are wound around the stator teeth; the inner rotor set comprises a rotor core and two rotor permanent magnets arranged at the two ends of the rotor core respectively. The rotor core and the stator teeth are arranged oppositely in the radial direction and are in clearance fit. The two stator magnetic rings and the two rotor permanent magnets are magnetized in the axial direction, the magnetizing directions of the two stator magnetic rings are opposite, and meanwhile the magnetizing direction of any stator magnetic ring is opposite to the magnetizing direction of the rotor permanent magnet opposite to the stator magnetic ring in the radial direction. A static bias magnetic field is provided by permanent magnet acting force between the stator magnetic ring and the rotor permanent magnet, dynamic suspension auxiliary adjustment is performed by using electromagnetism, the power consumption of the system is remarkably reduced, the size is small, and the weight is light.

This invention relates to the field of motion detection technology, and discloses a primary motion detector based on a PN junction channel, its fabrication method, and a sensor. The primary motion detector includes a first phototransistor and a second phototransistor. The first phototransistor is configured to operate under a source-drain forward bias, and its photocurrent decay process during turn-off has a first fast decay time constant and a first slow decay time constant. The second phototransistor is configured to operate under a source-drain reverse bias, and its photocurrent during turn-off has a second fast decay time constant and a second slow decay time constant, wherein the first fast decay time constant is greater than the second fast decay time constant. When a light pulse moves along the direction from the first phototransistor to the second phototransistor, a directional current pulse can be detected at the output of the primary motion detector. This invention achieves high-efficiency and low-power discrimination of the direction of light signals.

The low-power pulse wave signal arrhythmia classification method and system of the application comprises the following steps: using a large convolution kernel to extract the bottom local features of the original signal, and reducing the sequence length by half through pooling; adopting a leaky integral-discharge neuron activation to make the data pulsed; using a large convolution kernel and a hollow convolution to expand the receptive field and capture longer-range local timing features; dimensionally reducing the output features, cooperating with batch normalization, leaky integral-discharge neurons and maximum pooling, and aggregating the local features; calculating self-attention in each subsequence, combining a linear mapping layer, focusing the model on the feature correlation in the local subsequence through the aggregation of the sub-attention map, and extracting the waveform dependence in the short time window of the pulse wave signal; calculating QKV interaction on the whole sequence, combining a linear layer and a pulse neuron, capturing long-distance global feature correlation, and mining the waveform dependence in different time periods of the pulse wave signal. The application can achieve a classification performance equivalent to that of a deep artificial neural network.

The utility model relates to audio equipment technical field, concretely relates to an intelligent earphone, the earphone is connected with mobile terminal wireless communication, including earphone shell, through integrating multiple function modules and optimizing system connection framework, the intelligent level and communication ability of equipment have been improved significantly. Earphone built -in bluetooth module and wi -Fi module, combine control circuit and mobile terminal establish bluetooth wireless connection, while guaranteeing basic audio transmission and instruction interaction, support through wi -Fi realizes high -speed network access, expands data transmission bandwidth and application scene, effectively improves the flexibility, stability and coverage of wireless communication. First sensor circuit is used for real -time sensing earphone's spatial position change and user's motion state, can support multiple intelligent functions, such as step count, motion mode identification and earphone anti -loss reminder (when equipment unusual movement or separate pairing range, send a prompt), enhance the practicability of equipment in the motion health and daily use.

The utility model provides a kind of MEMS heat dissipation device, including MEMS heat dissipation chip, microchannel radiator of being attached to MEMS heat dissipation chip, the size of gas passage of microchannel radiator is micrometer level, and the heat dissipation surface of microchannel radiator is used to be attached to the surface of heat source.The utility model further provides corresponding electronic equipment.The MEMS heat dissipation device of the utility model combines MEMS heat dissipation chip with extremely high back pressure and low power consumption characteristics with specially designed microchannel radiator, overcomes the inherent high flow resistance of microchannel by the high back pressure capacity of MEMS, so that it is possible to realize efficient forced convection heat exchange in extremely small volume, thereby solving the efficient heat dissipation problem under extremely limited space.

The invention relates to the technical field of intelligent induction, in particular to a judicial check very-low-frequency induction intelligent seal strip which comprises a sensor module, an alarm control unit and a terminal. The alarm control unit is used for processing and judging the signal and giving an alarm notification; the alarm control unit comprises a processor, a trigger and a communication unit. The very-low-frequency inductive sensor is adopted, has the characteristic of low power consumption, can work without depending on an external power supply, is particularly suitable for remote or unattended monitoring application, and also avoids the risk that a circuit is cut off or tampered; moreover, the seal has the physical characteristics of early warning in advance of spatial distance of non-contact induction of human body movement and non-biological non-response, can quickly detect the change of the state of the seal, and sends out an alarm signal at the first time, so that the loss is reduced and the response speed is increased; meanwhile, the very-low-frequency inductive sensor can be in wireless communication with a terminal, and alarm information can be received and displayed in real time without being checked by field personnel.

The present invention belongs to the technical field of household appliance identification, and discloses a non-invasive electrical appliance identification method, system, medium, equipment and terminal. The current of the electrical appliance is synchronously sampled by using a current transformer and a voltage zero-crossing detection circuit; the synchronously sampled current data is processed by using an MCU to obtain the parameters of the fundamental phase of the current, the amplitude ratio of each harmonic to the fundamental wave, and the energy ratio, and the characteristic quantity of each electrical appliance is calculated by using the current parameters; the type of the electrical appliance that has changed is determined by extracting dynamic characteristic values ​​from the changing data, and the type and quantity of the current electrical appliance are intelligently identified by combining accumulation and CUSUM. The present invention takes into account low cost, low power consumption, and high recognition accuracy, and is easy to industrialize and promote; it has a learning function, can autonomously learn new electrical appliances, and the identification of electrical appliances is not limited to the types of electrical appliances built-in at the time of leaving the factory; training a small amount of data for a single electrical appliance can accurately identify the combined electrical appliances.

The present invention discloses a valve opening measurement device, a measurement method and a switch direction judgment method, wherein N magnetic parts are evenly arranged on the rotating shaft of the valve, and the rotating shaft is evenly divided into N first areas; M sensor switches are arranged on a circuit board and distributed on concentric circles with the center of the rotating shaft as the center; the sensor switch is used to detect the approach or distance of the magnetic part and output a magnetic induction signal, and the magnetic induction signal is input into a processor; the processor is used to process the magnetic induction signal, judge the valve switch direction and measure the valve opening; the beneficial effects of the present invention are that there is no requirement for the angular position of the initial state magnet relative to the center of the rotating shaft, and there is no need for technical installation personnel to control the angular position of the rotating shaft of the fire hydrant valve; a tunnel magnetoresistive sensor is used, which occupies less space, has higher sensitivity, and has good temperature stability and low power consumption characteristics; smaller initial angle error; and higher measurement step accuracy.

The invention discloses a bearing retainer state monitoring device. A stress detection and rotating speed detection circuit for a bearing retainer is configured in the device, and the circuit comprises a main control chip circuit which collects and processes various sensor data in real time through the high-performance processing capability of main control chip integration; the power supply provides stable power supply for each module; the angle and rotating speed detection circuit is used for measuring the angle and rotating speed data of the retainer by using an MPU6050 sensor, and is communicated with the main control chip through an I2C (Inter-Integrated Circuit) interface; the stress detection circuit is used for detecting a stress signal of the bearing retainer through a strain gauge; and the storage circuit is used for storing the collected data. Through cooperative work of all the modules, real-time and high-precision detection of the stress and the rotating speed of the bearing retainer is achieved, and reliable data support is provided for bearing state monitoring.

The utility model relates to the technical field of anti-interference electricity devices, in particular to an anti-interference electricity device convenient to install and use, which comprises a connecting box, a box cover and a thin film are respectively attached to two ends of the connecting box, one end of the box cover is provided with a first penetrating groove, two second penetrating grooves and three penetrating holes, and a circuit board is movably connected in the connecting box in a penetrating manner. Two limiting grooves are formed in each of the two sides of the circuit board, two limiting rods are fixedly connected to each of the two sides of the box wall in the connecting box, the four limiting rods are movably connected with the four limiting grooves in a penetrating and inserting mode, and four limiting pipes are fixedly connected to one side of the box wall in the connecting box in a penetrating and inserting mode at equal intervals; the two sides of the other end of the connecting box are each provided with two mounting grooves, and magnetic plates are fixedly connected into the two mounting grooves in a penetrating and inserting mode. Through the arrangement of the buckles and the magnetic blocks, the device can be rapidly connected with the guide rails through the buckles, the device and the drawer cabinet can be rapidly installed together through the magnetic blocks, disassembly and assembly are convenient, and overhaul and maintenance of the device are facilitated.

The invention discloses a digital sensor system, which relates to the technical field of power system monitoring and comprises an acquisition unit, a collection unit and a master station. By adopting a time-frequency domain joint feature analysis algorithm, the system can accurately collect line current and electric field signals and perform short-time Fourier transform and feature extraction on the line current and electric field signals, so that a fault feature matrix is constructed, and the algorithm can accurately judge interphase short circuit and single-phase grounding faults and can also accurately judge the fault characteristics of the line. According to the method, fault types can be distinguished according to energy distribution characteristics in a characteristic matrix, the accuracy of fault detection is greatly improved, meanwhile, the system has the characteristic of low power consumption, long-service-life operation can be guaranteed under the condition that no external power supply exists, and the real-time performance and continuity of fault detection are ensured.

The application discloses a high-selectivity acetone gas sensor and a preparation method thereof, and comprises the following steps: providing a MEMS micro-hotplate substrate with a defined active window as a working substrate, in-situ growing an epsilon-WO3 nanostructure array in the active window, sequentially constructing a super-thin NiO continuous shell layer and a discrete CuO catalytic island on the surface of the epsilon-WO3 nanostructure array to form a radial p-n-p heterojunction sensitive structure with epsilon-WO3 as the core and NiO / CuO as the shell, performing a thermal stabilization treatment on the heterojunction sensitive structure, constructing a ZIF-8 molecular sieve film or a ring-shaped fluorinated ionomer selective layer on the surface of the heterojunction sensitive structure to obtain a high-selectivity sensor device, effectively blocking the passage of interfering molecules, and significantly improving the selectivity ratio and the anti-cross interference capability of the sensor device; meanwhile, based on the MEMS micro-hotplate substrate and the thermal stabilization treatment process, the device has good structural stability, low power consumption characteristics and compatibility with a standard semiconductor process, and high selectivity for acetone is realized while high sensitivity is ensured.

The embodiments of the present invention relate to the field of wireless communication technology, and disclose a big data communication scheduling method, an electronic device, and a computer-readable storage medium. In the present invention, a central device and a plurality of peripheral devices form a one-to-many network topology structure, in which the scheduling time for the central device to interact with the plurality of peripheral devices is divided into a plurality of time groups, and each time group includes at least two time slots. The central device sends a data link packet before the first time slot in each time group, and after receiving the data link packet, the peripheral device only needs to interact with the central device in the corresponding time slot to respond to and confirm the reception of the data link packet. The limitation of the time group and the time slot can keep the peripheral device in a low power consumption state. At the same time, the data transmission throughput of the communication network where the central device and the peripheral device are located can be improved by using the data link packet to transmit data.

The invention discloses a communication positioning device, relates to the technical field of robot positioning, can realize multi-means fusion positioning search, improves the universality of the communication positioning device to a task execution environment, can be suitable for environments with good Beidou satellite and 4G public network signals, and also can be suitable for environments with good Beidou satellite and 4G public network signals. And the system is also suitable for environments in which equipment cannot be automatically positioned or cannot be directly connected with a control center under complex terrains such as jungles, mountainous regions and gobi for executing special tasks in the field. Meanwhile, the communication device has the characteristic of low power consumption, the working state (whether the modules are powered on) of each module is dynamically adjusted according to different settings of search modes, the deep sleep time is set to be 60 minutes, the communication device works once (the Beidou positioning module is used for positioning, and latitude and longitude data are sent by a 4G public network and a Beidou short message), and a 2600mAh 18650 rechargeable lithium battery can work for more than 4000 hours according to theoretical calculation.