59 results about "Energy sensing" patented technology

The invention discloses a method for planning a data acquisition path of an energy-aware unmanned aerial vehicle. The method comprises the following steps: 1) constructing a system model; 2) unmanned aerial vehicle flight constraint limitation and optimization problem generation; 3) constructing a reward function of the unmanned aerial vehicle; and 4) training the neural network by adopting a deep reinforcement learning DDQN algorithm with a priority experience playback mechanism, and finally obtaining a group of parameters capable of maximizing accumulated rewards by the neural network, thereby obtaining a data collection path for maximizing the data collection rate and the safe landing rate of the unmanned aerial vehicle in a given environment. According to the method, the unmanned aerial vehicle can find a data collection path with the maximum data collection rate and safe landing rate in a given environment.

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 provides an ad hoc network communication power control system and method based on a centerless node, and relates to the technical field of wireless communication, and the system comprises a link quality evaluation module which is used for evaluating the link quality between a node and an adjacent node; the power adjusting module is used for calculating and adjusting the transmitting power of the node according to the link quality, the service requirement and the energy state; the channel power coordination module is used for monitoring the channel interference condition in real time and dynamically selecting a channel and coordinating power when the interference is relatively large; the energy sensing and limiting module is used for monitoring node energy and limiting a power adjustment range according to an energy state; and the information interaction and synchronization module is used for ensuring accurate exchange and synchronization of information among the nodes. According to the invention, by improving link quality evaluation, optimizing a power adjustment strategy, enhancing interference processing capability and realizing more effective energy management, efficient power control in a dynamically changing network environment is realized, and the overall performance and stability of the network are improved.

The invention provides a multi-mode triple composite vibration energy acquisition device based on a frequency division technology and a self-powered sensing system. The multi-mode triple composite vibration energy acquisition device comprises a shell, an electromagnetic power generation element, an elastic piezoelectric power generation element and a friction nano power generation element, the electromagnetic power generation element comprises a magnet vibrator and a coil, electromechanical coupling control switches are arranged on the two sides of the magnet vibrator respectively, and each electromechanical coupling control switch is connected with one side of the magnet vibrator through a first elastic unit and an inerter which are connected in parallel. A coil is arranged on the shell on the outer side of the magnet vibrator, and electric energy is generated through reciprocating motion of the magnet vibrator; a friction nanometer power generation element is arranged between the magnet vibrator and the electromechanical coupling control switch, and electric energy is generated by changing the distance between the magnet vibrator and the electromechanical coupling control switch; and an elastic piezoelectric power generation element is arranged between the electromechanical coupling control switch and the wall surface of the shell. Automatic switching of electromagnetic power generation, friction power generation and piezoelectric power generation can be realized under excitation of different frequencies.

The invention relates to the technical field of communication scheduling command, in particular to a mining converged communication scheduling command system which comprises an information acquisition and indication module, an energy sensing communication control module, a network self-healing management module and a command scheduling integration module. According to the invention, the key information of the mining area is collected in real time and comprehensively processed, so that the accuracy and practicability of data are greatly improved, a mining area manager can quickly respond, the safety management efficiency of the mining area is improved, and the signal power and coding complexity of communication equipment are dynamically adjusted according to the environment and equipment energy state; the stability and efficiency of communication are obviously enhanced, rapid change of the internal environment of the mining area can be flexibly adapted, the self-healing network can rapidly reconstruct the network when finding a link quality problem, the continuity of communication is ensured, the fault recovery speed and reliability are improved, emergency response and resource configuration are optimized, and the network reliability is improved. The rescue efficiency of the mining area and the protection of life and property are enhanced.

The invention provides a network computing power energy sensing network, a resource measurement method, a resource measurement device and a program product. The method comprises the following steps: determining a current available resource corresponding to an infrastructure through a resource sensing unit; before the calculation task is executed, resources needed for executing the calculation task are measured through a measurement device based on the task type, the task scene and the task load corresponding to the calculation task, target resources are obtained, and resource configuration is carried out according to the target resources and resources corresponding to the infrastructure; in the execution process of the calculation task, generating predicted available resources corresponding to the infrastructure in the target period through a measurement device based on the current time feature and the task feature corresponding to the calculation task; performing resource configuration according to the predicted available resource, the current available resource and the target resource; the problem that a single resource measurement index is difficult to meet the requirements of task types and task scene complexity can be solved; and the requirements of task type and task scene complication can be comprehensively and accurately met.

The present invention relates to the field of natural gas management technology, and in particular provides a distributed energy pipeline natural gas demand management method, system and medium, the method comprising: determining a commercial change sequence; determining a civil change sequence; determining a demand sequence based on the civil change sequence, the commercial change sequence and historical usage data; constructing a micro-pipeline network map; determining a gas storage coverage rate and a gas supply priority; determining a gas storage adjustment parameter based on the gas storage coverage rate and the gas supply priority; and generating a gas storage adjustment instruction based on the gas storage adjustment parameter. The system comprises a distributed energy perception control platform, a distributed energy sensor network platform, a distributed energy demand management platform, a distributed energy service platform and a distributed energy user platform. The method can be run after being read by a computer instruction stored in a computer-readable storage medium. The method can ensure the normal supply of gas in the gas supply area without affecting the normal production and life of gas users.

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 an unmanned aerial vehicle charging method and device based on an energy perception model, and relates to the technical field of unmanned aerial vehicle control. Comprising the following steps: 1, establishing an energy sensing model according to a mixed integer linear programming model MILP: setting constraint conditions according to the operation condition of an unmanned aerial vehicle, constructing an objective function of the energy sensing model, calculating the minimum value of y under the condition that the constraint conditions are met, obtaining an optimal unmanned aerial vehicle charging strategy, and obtaining an optimal unmanned aerial vehicle charging strategy; and 2, solving an optimal unmanned aerial vehicle charging strategy by using the energy sensing model, and guiding the unmanned aerial vehicle to charge according to the optimal unmanned aerial vehicle charging strategy.

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 invention relates to a transmitting and / or receiving unit for the inductive transfer of energy, having: a centre axis, a magnetic-field-sensitive component for guiding a magnetic flux, and at least one electrically conductive conductor element, in which unit the magnetic-field-sensitive component and the at least one conductor element are arranged to interact electromagnetically with one another, and in which the magnetic-field-sensitive component has at least two boundary faces at which the magnetic flux exits or enters the magnetic-field-sensitive component in a concentrated manner, wherein the at least two boundary faces are arranged jointly on an energy transfer side of the transmitting and / or receiving unit.

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.

A system and method for determining and monitoring occupancy level of items placed on a surface are provided. The system comprises receiving frequency words from tags placed on the surface, wherein each tag is configured to transmit a plurality of frequency words; extracting at least one data feature from the plurality of frequency words, wherein each data feature changes in response to an item placed in a proximity to a respective tag; determining, based on the extracted at least one data feature from a group of tags placed on the surface and based on at least one baseline, the occupancy level of items placed on the surface; and reporting the determined occupancy level of items.

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.