41 results about "Energy sensing" patented technology

Disclosed are techniques for communication. In an aspect, a first UE determines information (e.g., from an external device, or via the first UE's own energy sensing) associated with scheduled uplink transmissions on a set of symbols by a second UE. The first UE performs measurements on at least some of the scheduled uplink transmissions during a first subset of the set of symbols where no DL signals are received by the first UE. The first UE receives at least one DL signal during a second subset of the set of symbols, and mitigates interference associated with the at least one DL signal based on the measurements.

The invention relates to the field of water production systems, and discloses floor type air water production equipment which comprises a multi-stage energy sensing module, an energy budget core module, a dynamic energy distribution module, a water production switching module and an energy optimization closed-loop module. The multi-stage energy sensing module is used for collecting data information of solar input power, battery charge state, environment temperature and environment humidity in real time; the energy budgeting core module calculates current available energy and predicts available energy in a future short period in real time, and deduces an energy trend based on a calculation result; a hierarchical energy management module used for executing a hierarchical energy management strategy according to the budgeting result of the energy budgeting core module; the water production switching module comprises a plurality of water production working modes, and each water production working mode corresponds to different energy consumption and water production efficiency; the energy optimization closed-loop module adjusts the dynamic energy distribution module and the energy budgeting core module; the device can continuously and efficiently work even in a low-light or extreme environment.

The invention discloses a medical signal generation method and system based on a time-frequency double-domain constraint generative adversarial network. According to the method, a multi-category electrocardiosignal generation model is designed on the basis of a conditional generative adversarial network, global attention interaction is carried out by utilizing a learnable potential feature prototype and position-coded signal features through an adaptive neural representation module, and long-distance time sequence dependence of electrocardiosignals is modeled; through the adaptive spectrum sensing module and the dynamic mask mechanism of energy sensing, the discriminator intensifies the discrimination of the consistency of signal frequency domain information while paying attention to the time domain form, thereby effectively inhibiting the non-natural high-frequency artifacts in the generation process, and ensuring the high fitting of the generated signal and the real signal. Experiments show that the fidelity and diversity of generation of various types of electrocardiosignals can be remarkably improved.

A multi-agent reinforcement learning-based optimal energy sensing threshold control method in distributed cognitive radio networks includes: (a) constructing a state space for a network environment including a plurality of primary terminals and a plurality of secondary terminals, the state space including each state about whether the primary terminals are occupied; (b) selecting an action in accordance with a policy by applying partial observation of each secondary terminal to a reinforcement learning-based actor-critic network model by means of an agent, and calculating a reward on the basis of a sensing result of the primary terminals on the basis of the selected action in the environment, the action being a sensing threshold; (c) storing the partial observation, the selected action, the reward, and next observation into a replay buffer as experiences; and (d) updating the actor-critic network model on the basis of the experiences stored in the replay buffer.

The invention discloses a self-energy-taking sensing device wake-up circuit and a control method thereof.A signal conditioning circuit collects sinusoidal signals transmitted by a sensor on power equipment, processes the sinusoidal signals and transmits the sinusoidal signals to a square wave generating circuit, and the square wave generating circuit generates square wave signals according to the characteristics of the sinusoidal signals and sends the square wave signals to a central controller; the central controller controls the working state of the self-energy-taking sensor circuit according to the received square wave signal, wakes up the self-energy-taking sensor circuit to monitor the state of the power equipment when the sensor monitoring data on the power equipment is abnormal, and enables the self-energy-taking sensor circuit to sleep when the sensor monitoring data on the power equipment returns to normal; while low-power-consumption operation is ensured, real-time performance and reliability of power equipment monitoring are realized, and the system is suitable for various scenes requiring long-term, stable and accurate monitoring.

The invention relates to the technical field of ocean energy sensing equipment, in particular to a self-powered sensor and method for wave height monitoring. The self-energized sensor comprises a first shell with two open ends, a sealed second shell and a plurality of power generation units. The upper end of the first shell is fixedly installed on one side of the second shell, and the lower end of the first shell is bent outwards. The multiple power generation units are sequentially arranged in the axis direction of the second shell. The power generation unit comprises a rotating part, a first substrate and a second substrate, a dielectric layer and an electrode layer which are different in electronegativity are arranged on the two opposite side walls of the first substrate and the second substrate, the rotating part rotates to drive the second substrate to rotate relative to the first substrate, and then the dielectric layer and the electrode layer are driven to move relatively to generate current. The self-energized sensor provided by the invention not only can monitor the wave height based on the electric signal output by the power generation unit, but also can supply power to the sensor by the generated electric signal, so that the self-energized sensor provided by the scheme can stably run for a long time.

The present invention discloses a phase modulation dynamic truncation device, belonging to the fields of communications, radar, electronic countermeasures, and integrated radio frequency technology. The device comprises N-channel phase modulation sampling modules, one-channel energy sensing module, N-channel dynamic truncation modules, N-channel phase demodulation modules, and one-channel beamforming module. By estimating the signal energy within the instantaneous bandwidth, the device adaptively selects an appropriate bit width at the unit level for dynamic truncation. Phase modulation and demodulation are simultaneously introduced to reduce truncation spurious noise. This device optimizes distributed digital array edge acquisition, computing, processing, and other resources and throughput efficiency, while ensuring that the overall array synthesis meets signal-to-noise ratio and dynamic range requirements. This significantly reduces implementation complexity, power consumption, and cost.

This utility model discloses an energy transmission device, including an energy sensing element and a coil. The energy sensing element includes a first sensing part and a second sensing part. The second sensing part is disposed adjacent to the first sensing part. The coil is disposed adjacent to the energy sensing element. The first sensing part and the second sensing part are made of different materials.

The invention discloses a distributed optimal scheduling method based on a power grid friendly rural comprehensive energy system, which relates to the field of power grids and comprises the steps of establishing a power grid rural energy sensing network, summarizing collected rural comprehensive energy information, scheduling rural comprehensive energy and predicting the demand quantity of the rural comprehensive energy. Real-time scheduling is carried out on rural comprehensive energy, an electric power price optimization algorithm is established, a user participation incentive mechanism is established, self-scheduling and load management of users are promoted through price levers and reward measures, and analysis and summarization are carried out on rural comprehensive energy system optimization scheduling. According to the distributed optimization scheduling method based on the power grid friendly rural comprehensive energy system, efficient scheduling of rural energy is achieved by establishing a power grid rural energy sensing network, collecting and analyzing rural comprehensive energy use information and combining economical, energy-saving, sustainable development and people-benefiting constraint conditions.

The invention belongs to the technical field of monitoring power supply, and discloses a monitoring power distribution control system based on energy state perception, and the system is characterized in that a commercial power monitoring module is used for monitoring commercial power parameters of a power grid; the power supply module is used for converting alternating current of a power grid into power supply voltage; the battery control module is used for collecting battery operation parameters of the battery; the energy state sensing module is used for collecting equipment power utilization parameters of an equipment power supply interface and an internal function module, calculating commercial power quality data according to commercial power parameters, and calculating battery state information according to battery operation parameters. The mains supply quality data, the battery state information and the equipment power utilization parameters are used as energy sensing data to be sent to the main control module; controlling the power supply voltage and the battery voltage to supply power to the equipment power supply interface and the internal function module based on the mains supply quality data; the master control module is used for controlling on-off of the equipment power supply interface and the internal function module based on the energy perception data. According to the invention, the stability of power distribution monitoring is improved.

The application relates to the technical field of electric arc processing equipment, and discloses an electric arc energy sensing variable-diameter nozzle regulating device and method, which solves the problem that the diameter of a nozzle cannot be self-adaptively adjusted according to electric arc energy variation, and comprises a conical nozzle body, the end of the conical nozzle body is provided with a front-end horn-shaped nozzle, the front-end horn-shaped nozzle is integrally arranged with the conical nozzle body, the outer side of the front-end horn-shaped nozzle is provided with a regulating mechanism, a driving mechanism is arranged on the regulating mechanism, the regulating mechanism comprises a regulating sleeve located on the outer side of the front-end horn-shaped nozzle, a plurality of inner arc-shaped rods are fixedly connected to the inner side of the front-end horn-shaped nozzle at equal angles, and a connecting column is fixedly connected to the outer side of each inner arc-shaped rod; the front-end horn-shaped nozzle is expanded outward under the action of the force of each reset spring, the diameter is increased, and the diameter of the whole nozzle is conveniently regulated.

The application discloses a structure icing / snowing synchronous classification monitoring system based on energy sensing and computer vision, realizes composite self-power supply through a fan and a thermoelectric material, triggers a built-in high-definition camera of a deep residual network to perform morphological feature extraction in ice and snow weather, and realizes snow / icing / normal three-state classification identification for the first time; the output visual probability matrix, equivalent physical density and pre-physical prior feature are subjected to fusion analysis and judgment of multi-modal data, and all-weather autonomous monitoring and early warning of structure snow and icing synchronous classification are realized. Not only the problems of high energy consumption, difficult independent operation and single monitoring capacity of traditional equipment are effectively solved, but also precise synchronous classification of structure icing, snowing and normal state is realized, and the false alarm and missed alarm rates of traditional sensors are greatly reduced.

The application provides an anti-interference acoustic signal data extraction method based on energy data sensing, and belongs to the technical field of underwater acoustic signal processing. The method comprises the following steps: A / D sampling and digital quadrature demodulation are performed on a received acoustic signal to obtain a baseband signal; low-pass filtering and down-sampling are performed on the baseband signal to obtain a pretreated signal; the pretreated signal is matched filtered by using a reference signal; a key improvement lies in that a local energy estimation function of the pretreated signal is calculated, and the matched filtering result is normalized with the energy estimation function to obtain a normalized detection signal. Through energy sensing normalization, the application effectively suppresses the shielding effect of strong interference signals on weak target signals due to non-quadrature reference signals and the "near-end strong and far-end weak" scene, significantly reduces the false recognition probability, and improves the accuracy and reliability of extracting a long-distance and low signal-to-noise ratio target beacon signal in a complex underwater acoustic environment. The application is suitable for underwater navigation, positioning and communication systems.

The utility model discloses an impact energy testing device for a fuse impactor, which relates to the technical field of impact detection and comprises a bottom plate, anchor screws are fixedly mounted at four corners of the bottom end of the bottom plate, and an energy sensing assembly and a sample lifting assembly are mounted on the top end face of the bottom plate. The top end of the sample lifting assembly is provided with a left-right side fine adjustment assembly and a sample mounting assembly, the sample mounting assembly is movably provided with a sample, and the sample lifting assembly is matched with the energy induction assembly to be used for detecting the impact energy level of the sample; according to the utility model, by controlling the sample lifting assembly, the left and right side fine tuning assembly and the sample installation assembly, multi-directional installation of a sample is realized, and by cooperating with the separation blade, the rotating shaft, the pointer, the encoder and other components, detection work of electronic components such as a fuse impactor and the like is realized.

The invention discloses an automobile braking mechanical control anti-lock braking system and an emergency braking method, and relates to the technical field of automobile braking. The automobile braking mechanical control anti-lock braking system comprises a braking energy sensing module, a double-threshold self-adaption module and a pressure dynamic balance module, and an anti-lock braking control link without electronic control is formed through pure mechanical link linkage. The brake energy sensing module converts wheel kinetic energy changes into mechanical signals, the double-threshold self-adaption module switches threshold values according to the brake input strength, and the pressure dynamic balance module achieves brake pressure closed-loop adjustment. According to the emergency braking method, braking control is completed through scene recognition, early warning and pre-adjustment, dynamic balancing and resetting. Electronic elements are abandoned, the problems of poor reliability, narrow adaptability and high cost in an extreme environment in the traditional technology are solved, and the brake is suitable for various vehicle types, gives consideration to brake efficiency and stability and has extremely high popularization value.

The invention discloses a wide-band spectrum sensing method and device based on threshold improvement, equipment and a medium. The method comprises the following steps: dividing a preset frequency band into a plurality of continuous and equal-broadband sub-frequency bands; for each sub-frequency band, calculating a bottom noise sequence of the sub-frequency band according to the receiving tying band IQ signal in the sub-frequency band and the number of frequency points in the sub-frequency band; performing J-layer wavelet decomposition on the bottom noise sequence to obtain an approximation coefficient and a detail coefficient; reconstructing the ground noise sequence to obtain a smoothed ground noise sequence; according to a preset system total target false alarm probability, a system frequency slot number, a spectral line number of each frequency slot and a variance of the smoothed bottom noise sequence, calculating an energy threshold value of each frequency point of the sub-frequency band; and taking the thresholds corresponding to the plurality of sub-bands as judgment thresholds of an energy sensing algorithm, and processing the signal by using the energy sensing algorithm to obtain a sensing result. According to the embodiment of the invention, the false alarm rate in wide-band spectrum sensing can be reduced, and the sensing accuracy is improved.

The invention discloses a green energy computing network system based on multi-modal energy collaborative scheduling, and particularly relates to the technical field of power grid scheduling, which comprises a multi-modal energy sensing module, a computing power task energy efficiency model building module, a computing network node layer, a two-dimensional prediction scheduling module, a computing power scheduling control module and a computing power flexible control module, according to the method, green energy data is collected in real time, expectation of the power consumption demand of a computing power task is calculated, a decision basis is provided for upper-layer scheduling through resource integration and cross-regional data interaction of a green power region and a computing power region, and an optimal collaborative scheduling strategy is output by adopting an improved particle swarm optimization algorithm based on the green energy data and a task energy efficiency portrait. The computing power task scheduling of the power shortage area is realized, the impact computing power scheduling instruction is converted into the power output by introducing the power ramp rate control of the S-shaped curve, the computing power is converted into the schedulable flexible load from the impact load of the power grid, and the stability in the power grid scheduling process is enhanced.

There is provided a control device for controlling a power conversion apparatus, the power conversion apparatus including: a primary side circuit having a primary winding and a main switch, a secondary side circuit having a secondary winding, and an auxiliary circuit having an auxiliary winding, where the primary winding, the secondary winding, and the auxiliary winding constitute a transformer; when the main switch is turned off, the voltage of the same oscillation waveform as the voltage across the main switch is formed on the auxiliary winding, and the main switch realizes energy accumulation of the primary side circuit and energy induction of the secondary side circuit through on / off operation; the control device includes: a processor for controlling an on / off operation of the main switch; and an ON time controller for generating an ON signal defining an ON time point of the main switch after sequential ON and OFF operations of the main switch based on a voltage formed in the auxiliary circuit, impedance information of the passive element, and a predefined reference voltage, and outputting the ON signal to a processor.

The application discloses a satellite signal demodulation method, device, equipment and medium. The method comprises the following steps: acquiring a current satellite signal and current adjustment parameter information at a current time, wherein the current adjustment parameter information comprises a demodulation gain parameter, a first optimization gain parameter and a filter coefficient; performing channel energy sensing and signal demodulation on the current satellite signal based on the current adjustment parameter information, and determining next adjustment parameter information and a demodulated current data frame at a next time. By adopting channel energy sensing to determine the demodulation gain parameter, the first optimization gain parameter and the filter coefficient at a downlink time slot, the acquisition of a synchronization header and the frame demodulation and decoding are completed at the downlink time slot, the current data frame is obtained, the automatic adjustment of the adjustment parameter information is realized for different interference conditions, the anti-interference capability of the satellite signal demodulation is improved, and the anti-interference requirements of more extensive application scenarios are adapted.

The invention relates to the technical field of induction motors. The technical problem to be solved is that the induction motor returns electric energy in heavy-load and overspeed states, increases power and returns electric energy at the same time in heavy-load and overspeed states, and increases resistance and returns electric energy at the same time in overspeed. And calculating the optimal working point and the control method of the common induction motor according to the characteristics of the energy return motor. According to the technical scheme, the energy-returning motor is composed of an input end, a rotor and an output end. The input end injects energy into the rotor, the rotor transmits the energy of the input end to the output end, and the output end induces the energy of the rotor to the output end to output electric energy. The energy return mode of the energy return motor must be that electric energy is returned from a rotor to a stator coil at an output end and cannot be returned from an input end to an output end directly. Main parameters influencing the energy-returning motor comprise power supply frequency, coil pole pair number or magnet pair number, coil and rotor combination mode and the like. The motor is mainly applied to places needing common motors in industry and agriculture.

A detection device comprises a detection unit, a source line, a first bit line and a second bit line. The detection unit comprises an n-type transistor, a p-type transistor and an energy sensing pad. Each of the n-type transistor and the p-type transistor includes a gate electrode, a first source / drain node, and a second source / drain node. The energy sensing pad is coupled to a gate electrode of the n-type transistor and a gate electrode of the p-type transistor. The source line is coupled to a first source / drain node of the n-type transistor and a first source / electrode node of the p-type transistor of the detection unit. The first bit line is coupled with the second source / drain node of the p-type transistor of the detection unit. The second bit line is coupled to the second source / drain node of the n-type transistor of the detection unit.

The invention relates to the technical field of wind power sensing, and discloses a wind vector sensor and a wind vector sensing system. The wind vector sensor comprises a shell, a wind energy sensing assembly, a signal generation assembly and a signal analysis assembly. Air inlets of at least two containing cavities are formed in the circumferential outer wall of the shell at intervals. The fixed end of a sensing unit in the wind energy sensing assembly is fixed, and the free end of the sensing unit is arranged opposite to the corresponding air inlet and used for generating vibration. A generating unit in the signal generating assembly is located on one side, in the first direction, of a sensing unit corresponding to the generating unit, and the generating unit is used for generating a corresponding vibration signal according to the vibration state of the sensing unit through non-contact relative movement when the generating unit vibrates. And the signal analysis assembly is connected with the signal generation assembly and is used for acquiring the vibration signal and processing the vibration signal. The wind vector sensor can effectively respond under the conditions of low wind speed and variable wind directions, synchronously obtain wind vector information, and can stably run for a long time through self power supply in an extreme environment.

The present application relates to an electromagnetic interference-resistant airtightness tester, comprising a housing and a circuit system disposed within the housing. The housing comprises a transmitting plate, a capacitor group, and a lamp group. The transmitting plate is provided with a metal coil; the capacitor group is electrically connected to the transmitting plate; and the lamp group is electrically connected to the capacitor group. The electrical energy stored in the capacitor group powers the lamp group. When the metal coil receives external electromagnetic interference, the lamp group lights up. The electromagnetic energy sensed by the metal coil is stored by the capacitor group, which stores the instantaneous current and releases it stably, ensuring that the lamp group can remain illuminated for a long time, allowing the user ample time to identify the presence of electromagnetic interference and take measures, such as shutting down the tester or moving it away from the interference source, to ensure that the tester can operate stably in an interference-free environment, thereby effectively avoiding measurement errors or tester failures caused by electromagnetic interference.

The invention discloses a system and a method for intelligent energy management of an excavator. The method comprises the following steps: acquiring intelligent energy sensing information of the excavator; preprocessing the intelligent energy sensing information of the excavator to obtain target processing intelligent energy information; and analyzing and processing the target processing intelligent energy information to obtain target intelligent energy analysis result information.

The invention provides an age-aware routing and unloading joint optimization method for a satellite network, and the method comprises the steps: enabling each satellite node to broadcast a lightweight HELLO beacon to a neighbor at the beginning of each decision time slot, and receiving the beacon of the neighbor; starting an independent optimization process for each observation task newly arriving at a satellite node in the time slot to determine a joint decision tuple; each satellite node enters a local execution stage, and after each time slot is finished, the queue value and the real battery energy of the virtual energy queue are updated according to the actual energy consumption and the energy collection amount of the satellite node in the time slot; according to the invention, a virtual energy queue is introduced to realize long-term energy balance constraint conversion, a block coordinate descent method is adopted to solve an optimal routing path, unloading nodes and a data compression ratio are calculated, and a self-adaptive energy sensing routing mechanism and a scheduling strategy based on an information age priority are combined to obtain an optimal routing path. And dynamic optimal balance among information freshness, data processing precision and energy sustainability is realized.

The present invention relates to the field of wireless communication technology, and more particularly to a decellularized symbiotic communication transmission method based on wireless energy transmission. The method comprises: deploying a certain number of access points (APs), RISs (Resistance Initiators) (RISs), and users in a decellularized system, assuming that each RIS serves the user closest to it, i.e., the number of deployed RISs is the same as the number of APs; during the channel estimation phase, the user has initial energy. When the RIS sends a pilot symbol, the user sends Q pilot symbols. The AP processes the received signal and then uses the MMSE channel estimation method to achieve channel estimation; during the downlink energy transmission phase, the AP sends an energy signal, and both the user and the RIS collect energy; during the uplink data transmission phase, the RIS uses the collected energy sensing data, and the user uses the collected energy for data transmission and the next channel estimation. The present invention significantly reduces computational complexity and channel estimation error, can obtain relatively accurate channel estimation, and significantly reduces energy consumption.

The invention discloses an air-ground integrated intelligent operation system and method for a mooring unmanned aerial vehicle. The system comprises an unmanned aerial vehicle end, a ground station and a mooring cable connecting the unmanned aerial vehicle end and the ground station. The unmanned aerial vehicle end is provided with an airborne controller, the ground station is provided with a ground controller, and a distributed model prediction control unit is formed; the unmanned aerial vehicle end is further provided with a power state observer which is used for calculating a power estimation value according to the collected voltage signals and current signals in combination with cable resistance parameters. And the power estimation value is sent to a ground station through a timestamp-synchronized communication link for a ground controller to carry out global optimization calculation. The system further comprises a multi-sensor fusion positioning module, a dynamic resource distributor, a main-standby double-link communication architecture and a Lyapunov optimizer. Through distributed control, accurate energy perception, intelligent state estimation and cross-layer collaborative optimization, accurate control, energy efficiency maximization and high-reliability operation of the mooring unmanned aerial vehicle in a dynamic environment are realized.

The invention discloses an intelligent brain biosensor based on biological energy fusion and a disease conditioning method, and relates to the cross technical field of biomedical technology and intelligent sensing technology, the intelligent brain biosensor comprises a biological energy sensing module, a signal analysis and regulation module, a biological energy wave generation module and a feedback monitoring module, all the modules cooperate to form a closed-loop conditioning system, the bio-energy sensing module is of a non-invasive structure, comprises a flexible electroencephalogram electrode array and a multi-channel bio-electricity collection chip and is used for collecting brain waves and body surface bio-electricity signals, the human body bio-electricity state can be monitored in real time, and bio-energy wave parameters are dynamically optimized; personalized and safe disease conditioning is achieved, the method is suitable for auxiliary conditioning of brain related functional diseases such as sleep disorder, mild cognitive dysfunction and chronic headache, and a new technical path is provided for non-drug disease intervention.

The invention belongs to the technical field of medicine application, and particularly relates to a medicine for reversing tumor multidrug resistance. The AMPK signal channel serves as an energy sensing center, and the expression mode of the catalytic subunit PRKAA1 / 2 of the AMPK signal channel has dispute in TNBC. Previous researches show that the AMPK activity in primary breast cancer is generally reduced, and clinical data analysis shows that the AMPK expression of a patient with advanced TNBC is increased and is related to poor prognosis. The invention finds that the expression of PRKAA2 in primary TNBC tissue is reduced, but DOX treatment can induce the expression of PRKAA2, and the expression of PRKAA2 is obviously increased in drug-resistant TNBC cells and TBCSCs. Mechanism research shows that the dynamic expression regulation is derived from CTED2 dependent CBP / p300 mediated H3K27 acetylation modification. The result shows that the AMPK signal has space-time specificity in TNBC, and the function of the AMPK signal may depend on the tumor development stage and the cell subtype.

The invention relates to the technical field of wireless sensor networks and energy collection, and particularly discloses a low-power-consumption indoor photovoltaic-driven wireless sensor node system. The system comprises an indoor photovoltaic power supply module, an energy management module, a low-power-consumption MCU master control module, an environment sensor module, a wireless communication module and an energy sensing scheduling algorithm. Illumination energy is collected through an indoor photovoltaic module, and the illumination energy is stored in a super capacitor after being subjected to boost conversion to supply power to a node system; the MCU dynamically adjusts the sampling frequency and the communication period according to the capacitor voltage, and energy and function self-adaptive matching is achieved; the system has a multi-power-consumption state switching mechanism and can automatically enter a dormancy state when the electric quantity is insufficient. Experimental verification shows that the system can stably operate for a long time under 500lux indoor illumination, has the advantages of zero maintenance and environmental protection, and is suitable for application scenes of smart buildings and indoor Internet of Things.