150 results about "Energy information" patented technology

The invention relates to the technical field of nuclear radiation imaging, in particular to a radiation array detector, a back scattering imaging system and a back scattering imaging method. The radiation array detector comprises an X-ray photon absorption structure which comprises high-strip-shaped scintillators and low-strip-shaped scintillators which are alternately arranged, the high-strip-shaped scintillators are used for detecting back scattering X-ray photons incident at all angles, the low-strip-shaped scintillators are used for accurately determining the incident direction of the X-ray photons through the collimation effect, and the high-strip-shaped scintillators and the low-strip-shaped scintillators are used for detecting the incident direction of the back scattering X-ray photons; after X-rays enter the photon absorption structure, the high-strip-shaped scintillators and / or the low-strip-shaped scintillators receiving X-ray photons generate scintillation photons. The silicon photomultiplier array is connected with the high strip-shaped scintillator and the low strip-shaped scintillator through a light guide and is used for converting scintillation photons into photoelectric signals; and the position and energy information coding circuit is used for carrying out position and energy information coding on the photoelectric signals generated by the silicon photomultiplier array. According to the invention, the detection efficiency and the direction identification capability of the back scattering X-ray can be effectively improved.

The present specification proposes a method and an apparatus for managing energy information in a next-generation wireless communication system. A next-generation wireless communication system including a 5G system may have defined therein an energy information repository function (EIRP) having a new network function capable of: exposing energy information to an AF; collecting information regarding energy of the AF; and storing and managing the energy information. The EIRF may provide energy information of a UE to the AF of a third party, and the AF may acquire energy information from the 5G system and monitor the acquired energy information. In addition, the AF may perform a system configuration based on energy efficiency, such as charging or restricting a service according to the energy information. Also, by the function, the AF may adjust service provision such as video playback by checking energy source information or carbon emission information.

A method of a network function (NF), the NF having functionality relating to energy information, wherein the method comprises: providing an event exposure service for energy information to a consumer

A method is disclosed. The method includes monitoring, by a security system, a security pattern of a building based on security data corresponding to the building. The method further includes monitoring, by the security system, an energy pattern of the building based on energy information corresponding to the building. The method further includes identifying, based on the security pattern and the energy pattern, a potential reduction in the energy pattern resulting from a change in at least one of the security pattern or the energy pattern. The method further includes identifying an insight comprising an action to at least partially achieve the potential reduction in the energy pattern. The method further includes transmitting the insight to a device in communication with the security system.

In one aspect of the present disclosure, a method, computer readable medium, and apparatus are provided. The method may be performed by a UE. In certain configurations, the UE receives one or more energy metrics from a network, the one or more energy metrics being used to indicate energy information for the network. And the UE determines a green level of a network resource based on the energy information of the network. And the UE selects a network resource from the network according to the energy configuration and the determined green level of the network resource. The UE communicates with the selected network resource.

According to an embodiment, disclosed is a system comprising an energy management module, electrically coupled to a utility meter, energy consuming devices and energy producing devices, comprising, a communication module configured to receive input energy data from utility meter, and energy information of energy consuming devices and energy producing devices; a processor storing instructions in a non-transitory memory that, when executed, cause the processor to: determine energy consumption data of the devices; identify a first device based on a first set of predefined priority values which requires energy; identify a second device based on a second set of predefined priority values which has excess energy; establish a connection and control energy transfer from the second device to the first device based on the energy consumption data and the input energy data to enable smart scheduling and power optimization among the energy consuming devices and the energy producing devices.

The application discloses a multi-axis laser interferometer optical axis space position positioning system and a positioning method, which comprises XYZ three-axis laser interferometer optical axis perpendicular adjustment and XYZ three-axis laser interferometer optical axis space intersection adjustment; wherein the optical axis perpendicular adjustment is to move a turntable independent measurement frame into a space coordinate system vertical reference mirror, to adjust the Z, Y and X axis laser interferometers of the turntable independent measurement frame in sequence according to displacement information and energy signals displayed on a display terminal until the displacement information is the minimum and the energy signal is the maximum; and the optical axis space intersection adjustment is to move a standard reference sphere above the turntable independent measurement frame, to adjust the Z, Y and X axis laser interferometers of the turntable independent measurement frame in sequence until the displacement information is the minimum and the energy information is the maximum. The application is simple in operation, fast in laser interferometer space position adjustment, and can realize high-precision positioning of multi-axis laser interferometer optical axes in space positions.

1. Name of the product in this design: Interactive display graphical user interface for electronic devices. 2. Intended use of this design: for use in an electronic device. 3. The key design feature of this product lies in the graphical user interface on the screen. 4. The image or photograph that best illustrates the design's key features: the front view. 5. Purpose of the graphical user interface: To display energy information in the energy system to which the photovoltaic inverter is connected. 6. Human-computer interaction method of graphical user interface: The main view is the initial state diagram; clicking the data dimension icon in the main view enters the interface change state diagram 1. The data dimension icon is located in the middle of the main view. The lower left corner of the five large icons has an icon indicating the battery level; clicking the "Statistics Chart" icon in the lower right corner of the interface change state diagram 1 enters the interface change state diagram 2.

An information processing method to be executed by a computer is provided. The method includes acquiring energy information indicating a threshold of thermodynamic convex hull energy, generating a phase diagram containing one or more compounds of which the thermodynamic convex hull energy corresponds to the obtained threshold, and outputting the generated phase diagram.

The invention is applied to the technical field of automatic control, and relates to a laser power control device and method, computer equipment, a readable storage medium and a program product. The device comprises a spectroscope which is used for carrying out light splitting on a laser processing signal of a laser transmitter to obtain a target laser signal; the photoelectric sampling module is used for converting the target laser signal into a voltage pulse signal; the data processing module is used for converting the voltage pulse signal into a digital pulse signal and detecting pulse signal energy information of the digital pulse signal; and the upper computer is used for controlling the laser transmitting power of the laser transmitter according to the pulse signal energy information. The device can support accurate control of laser power.

Embodiments relate to a photon counting CT apparatus. An optimum energy band is decided according to a photographing mode, a photographing subject site, or a kind of medical equipment. A photon counting CT apparatus of an embodiment includes a photon counting detector, an acquisition unit, and a decision unit. The photon counting detector detects X-ray photons and acquires energy information. The acquisition unit acquires at least one of information about a photographing mode, information about a photographing subject site, and information about a medical equipment. The decision unit decides at least one of a condition about an energy band of data collected by the photon counting detector and a condition about an energy band of data used in reconstruction processing among data collected by the photon counting detector, based on information acquired by the acquisition unit.

[Problem] To provide a food processing detection device and a detection method therefor. [Solution] The detection device according to the present invention includes: a detection device that emits a sound wave signal to a food to be tested, and after the sound wave signal has passed through the food to be tested, receives energy information of at least one corresponding reflected sound wave signal; a processing module to which a signal is connected to the detection device, which calculates the energy information and generates a detection result; and a conductive structure installed on the side of the food to be tested, wherein the conductive structure is installed between the food to be tested and the detection device and is used to transmit the sound wave signal and at least one of the reflected sound wave signals. Furthermore, the detection method according to the present invention enhances the stability of the maturation quality by obtaining the actual maturation status of the food to be tested.

The invention discloses an industrial chain green electricity consumption footprint tracking method and system based on a block chain, and relates to the technical field of smart power grids and energy information. The method comprises the following steps: carrying out feature vector comparison by adopting Hash certainty check and feature auxiliary analysis; a unique order number is associated with a block chain anchor point hash value, and a traceability link embedded by a steganography algorithm is combined to complete hash verification and feature matching degree analysis of the traceability voucher; footprint validity is comprehensively judged based on a Hash comparison result, three types of invalid footprints are distinguished, and a time sequence attention mechanism and a group decision algorithm are introduced to realize invalid footprint classification attribution and valid footprint compliance classification; and a block chain distributed consensus mechanism realizes invalid footprint problem link positioning and restoration scheme output, or effective footprint full-chain quantitative data acquisition. According to the method, the authenticity and traceability of the green electricity consumption footprint and the self-adaptive optimization capability of the system are guaranteed through dynamic hierarchical verification, full-chain hash coverage and tampering-free evidence storage.

A microgrid human-machine interface (HMI) associated with a microgrid includes one or more memories configured to store energy resource information corresponding to a plurality of energy resource systems, wherein the energy resource information defines a respective plurality of attributes for each energy resource system; a display unit; one or more processors, coupled to the one or more memories, configured to: evaluate the respective plurality of attributes for each energy resource system, automatically group the plurality of energy resource systems into a plurality of groups based on the respective plurality of attributes for each energy resource system, and cause the display unit to display an adaptive graphical user interface (GUI) based on the plurality of groups; and an input interface configured to receive user input for manipulating the adaptive GUI. The adaptive GUI is configured to selectively display the plurality of energy resource systems according to the plurality of groups.

The invention discloses a single-layer Compton camera system and an imaging method, and relates to the technical field of nuclear radiation imaging. The system comprises a single-plane pixel type gamma ray detector used for collecting gamma ray interaction event data, including time information and energy information of each interaction and two-dimensional position information in a detector plane, and forming pixel counting distribution; the shielding structure is arranged on one side of the plane of the detector, is located in a local area of the detector and is used for enabling pixel counting distribution to generate a local counting missing feature when gamma rays are incident from one side where the shielding structure is located; and the judging and imaging module is used for judging a gamma ray incident side based on the local counting missing feature and executing Compton imaging reconstruction in a corresponding hemispherical view field range according to the judged incident side. According to the invention, partitioned omnidirectional imaging can be carried out on the radioactive source under the condition that a detector does not need to act on depth information, and meanwhile, generation of mirror image artifacts is avoided.

The application provides an artificial intelligence-based portable base station networking method and system, relates to the technical field of communication, and can acquire the obstacle density of the area where the portable base station is located, the distance between the portable base station and neighbor base stations and the signal interference ratio; inputs the obstacle density, the distance between the portable base station and neighbor base stations and the signal interference ratio into an environment perception model to obtain the link stability score corresponding to the portable base station; inputs the link stability score, the energy information of the portable base station and the device communication state and the energy information of the neighbor base station into a resilience topology model to obtain the topology evaluation information of the portable base station; the resilience weight vector at least includes first information for indicating the topology reconstruction priority and second information for indicating the connection type; and in the case where the first information is greater than a preset reconstruction priority threshold value, the networking operation is performed according to the second information. The connection demand of the portable base station in a dynamic environment can be met.

A digital energy auditing device for collecting energy information, comprising: a processing unit; communication means for receiving energy (VERD) and / or meteorological information (VM), and sending information to a cloud; and a power source for electrically powering the elements of the auditing device. A power cell for digitalizing energy information comprising said Digital Energy Auditor Device. A system for the tokenization of energy information comprising at least one power cell. A method for the digitalization and tokenization of energy information.

The present disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. A method for saving energy in a network is provided. The method comprises: determining that a capacity of a first network node should be reduced based on energy information associated with the first network node; based on the determination, selecting a second network node; and redirecting the UE from the first network node to the second network node.

This invention discloses a collaborative frequency regulation system for regional energy integration, belonging to the field of power system automation technology. Addressing the technical problems of "resource isolation, delayed response, and insufficient accuracy" in traditional power system frequency regulation, this invention provides a collaborative frequency regulation system for regional energy integration, specifically including a carbon core control module, a multi-energy interface module, a signal processing module, a human-machine interaction module, and an auxiliary support module. Through "multi-module integration + hierarchical collaborative control," it achieves unified scheduling of thermal power, wind power, photovoltaic power, energy storage, and adjustable loads. This breaks down the traditional "information silos" and isolated scheduling of various energy sources.

This invention belongs to the field of artificial intelligence and intelligent control system technology, and discloses an aircraft avionics management method and system based on a centralized power supply and signal hub. The method includes: performing power supply channel status analysis and energy consumption analysis on the overall aircraft power supply and distribution data to obtain overall aircraft power supply and distribution analysis results; performing protocol analysis and topology connectivity judgment on the overall aircraft signal data to obtain overall aircraft signal link analysis results; using flight control status data as status anchors and mission phase data as semantic context to construct an overall aircraft energy information status fusion map; extracting a multi-dimensional coupling feature set of the overall aircraft avionics; and combining pre-set avionics control rules to achieve centralized management of aircraft avionics energy flow and data flow. This invention lays a solid foundation for achieving predictive maintenance, energy efficiency optimization, and adaptive mission configuration.

The disclosure relates to a fifth generation (5G) or sixth generation (6G) communication system for supporting higher data rates. A method of a network function (NF), the NF having functionality relating to energy information, wherein the method comprises: providing an event exposure service for energy information to a consumer NF (e.g. NEF, AF); wherein providing the event exposure service to the consumer NF comprises providing energy consumption information to the consumer NF.

Methods and apparatus for segmenting uplink transmissions by ambient-power (AMP) devices are provided. In embodiments, data collected by an AMP device is divided into segments, which are transmitted according to the energy available to the AMP device and the resources allocated by a receiving network access point. The AMP device can signal to the access point its current energy availability and the segmentation of the data by setting specific fields in the data frames used to transmit the data segments. In embodiments, a wake-up radio frame is used to transmit the data and the medium access control header thereof is used to communicate segmentation and energy information. In addition, the access point can infer whether the resources that it is allocating to the AMP device are sufficient according to this information. Embodiments can enable AMP devices to avoid deferring data transmissions and consuming power unnecessarily.

Provided in an embodiment of the present application are a communication method, system and related device, comprising: a network device sending first indication information to an A-IoT device, the first indication information being used for indicating the A-IoT device to report an energy attribute of the A-IoT device; and the A-IoT device sends first energy information of the A-IoT device, wherein the first energy information is used for indicating the energy attribute of the A-IoT device. Therefore, the network equipment can estimate the energy condition of the A-IoT equipment according to the first energy information, such as estimating the residual energy of the A-IoT equipment, so that the network equipment can determine a data transmission strategy between the network equipment and the A-IoT equipment according to the energy condition of the A-IoT equipment; therefore, the network equipment can perform data communication with the A-IoT equipment under the condition of determining that the A-IoT equipment has enough energy, so that interruption of data transmission between the network equipment and the A-IoT equipment due to insufficient energy of the A-IoT equipment in the process of performing data communication between the network equipment and the A-IoT equipment can be avoided as far as possible.

A method (100) for operating an industrial plant (1) that is configured to execute an industrial process using a plurality of interconnected process modules or other functional units (2a-2f), wherein at least one process module or other functional unit (2a-2f) is capable of performing its assigned role in the industrial process in different modes of operation (3a-3d) that have different energy consumptions, and wherein the method (100) comprises the steps of: - obtaining (110) energy information (4) that is indicative of the availability, and / or of the cost, of energy required for the operation of at least one process module or other functional unit (2a-2f); - obtaining (120), for at least one chosen process module or other functional unit (2*, 2a-2f), a candidate mode of operation (5) that is desirable from the point of view of this process module or other functional unit (2*, 2a-2f) with respect to energy consumption; - determining (130) whether operation of the chosen process module or other functional unit (2a-2f) if this candidate mode of operation (5) is compatible with the intended operation of one or more further process modules or other functional units (2a-2f) that are connected to the chosen process module (2*, 2a-2f); and - if this is the case, authorizing (140), in an energy plan (1a) for operating the industrial plant (1), operation of the chosen process module or other functional unit (2*, 2a-2f) in the candidate mode of operation (5).

The invention relates to the technical field of voice signal processing and audio coding, and discloses a frequency spectrum shaping parameter derivation method in an LC3 coding framework based on a neural network. The method comprises the following steps: performing frequency band energy analysis on an input audio frame, calculating energy of each frequency band according to a preset frequency band division rule, and obtaining multi-frequency band energy information representing spectrum distribution characteristics of the current frame; based on the multi-band energy information, combining a frame-level coding parameter and a transient detection mark, constructing an input feature vector for neural network reasoning, and predicting a spectrum shaping parameter consistent with an LC3 standard by a neural network; and the prediction parameters are further quantized and coded according to the LC3 standard and are used for subsequent spectrum shaping processing, so that on the premise of not changing an LC3 standard bit stream structure and decoder end behaviors, the improvement of a spectrum shaping parameter derivation mode is realized, and the stability and adaptability of coded speech spectrum features are improved.

The invention specifically relates to a significant wave height estimation method based on machine learning. The method comprises the following steps: obtaining a radar echo speed space-time sequence by using a coherent X-band radar; extracting statistical characteristics from the speed space-time sequence; performing Spearman correlation analysis on the statistical characteristic value and the actual significant wave height; screening the characteristic values by using a Spearman correlation coefficient, and constructing a Gaussian process regression and stepwise regression integrated model in combination with significant wave height data; and estimating the significant wave height of the echo to be measured through the integrated model. According to the significant wave height estimation method based on machine learning, key information can be effectively obtained from radar echoes by analyzing the speed space-time sequence of the radar echoes, extracting the statistical characteristics and energy information of the radar echoes and combining with the machine learning technology, and the estimation accuracy of the significant wave height is improved. And a physical correlation model of speed characteristics and wave parameters is constructed by using a machine learning method, so that the accuracy and reliability of inversion are remarkably improved.

The application provides a multi-substance density calculation method based on X-ray energy spectrum information, S1, multi-energy spectrum projection data collection: single X-ray exposure is performed on a measured object by using a photon counting detector to obtain projection values of each pixel in each energy interval; S2, multi-substance multi-energy spectrum decomposition model establishment: a nonlinear relationship model is established for multiple substances to be decomposed; S3, substance area density solving: a target function is constructed by the difference between the actual projection values obtained in step S1 and the model calculation values in step S2, and a numerical optimization algorithm is used to solve the target function; S4, quantitative image generation: all pixels are traversed to generate the area density distribution map of each substance. The application obtains multi-energy spectrum information by using a photon counting detector, combines a nonlinear model and an optimization algorithm, realizes synchronous quantitative calculation of the densities of multiple substances, overcomes the defects of limited substance type differentiation and insufficient energy information utilization, and improves the accuracy of substance identification.

A method for operating a motor vehicle for a charging process of a traction battery of the motor vehicle. In a control device assigned to the charging device and installed inside the motor vehicle, the user information describing at least one user request with regard to the charging process is received, energy information related to the electrical energy provided by the charging arrangement is received from the charging arrangement via a communication connection to the charging arrangement, a charging period that is likely to be available for the charging process is ascertained, a charging plan for the charging period that is optimized with respect to at least one optimization goal which is ascertained from the user information is ascertained using time-resolved optimization information of the energy information relating to the optimization goal, and the charging process is carried out according to the charging plan.

This application discloses a data collection method and related apparatus. The method acquires energy information of a target network element and then determines a data collection strategy that matches the actual energy consumption of the target network element based on this information. Specifically, the determination of the data collection strategy references the energy information of the target network element, which in turn reflects the energy consumption of the target network element. Therefore, a data collection strategy matching the energy consumption can be selected from at least one strategy. Thus, the target network element can collect data based on a data collection strategy that matches its own energy consumption. In the data collection scenario, the energy consumption of the target network element during data collection is controlled as much as possible, avoiding data collection strategies that are mismatched with the energy consumption, which could lead to additional energy consumption exceeding the target network element's actual energy usage capacity during data collection.

The application provides a three-phase inverter energy and information simultaneous transmission method and device based on a Costas loop, which is based on pulse width modulation to perform four-phase shift keying modulation on a carrier signal, embeds a transmission signal into voltage ripple through power switching tubes of a three-phase inverter, collects three-phase line voltage signals at a load side or a network side, and performs coherent demodulation based on Costas loop synchronization, including primary demodulation of a high-frequency switching frequency, secondary demodulation of a low-frequency three times fundamental frequency, differential decoding after symbol decision of two demodulation results, and finally parallel-serial conversion to obtain output data. Compared with a traditional method, the Costas loop synchronization demodulation technology can accurately track a carrier signal in real time, has good anti-interference ability, has a lower bit error rate, and has small damage to power quality by using a QPSK-PWM modulation method, so that high power quality and high communication accuracy can be realized for energy information simultaneous transmission.