46results about How to "Reduce data" patented technology

The invention discloses an industrial equipment carbon emission measuring and calculating method and device based on running state dynamic monitoring, and the method comprises the steps: obtaining user historical electricity consumption data of detected equipment, and scanning the user historical electricity consumption data through a time sliding window, inputting the data scanned by the time sliding window and the corresponding industrial equipment operation state code into a UNet network for model training, and obtaining an equipment operation state monitoring model after the training is completed; adaptively adjusting the size of the window according to the data correlation between the adjacent windows; acquiring user real-time electricity consumption data of the to-be-tested equipment, and inputting the user real-time electricity consumption data into the equipment running state monitoring model to obtain a real-time running state code of the to-be-tested equipment; and calculating the carbon emission of the tested equipment according to the real-time running state code of the tested equipment. The method has the advantages of being simple in implementation method, high in efficiency and precision, high in real-time performance and the like.

The invention discloses an electronic nose gas classification model construction method and system, and relates to the technical field of gas sensing detection and artificial intelligence crossing. The method comprises the steps of performing fine adjustment on a pre-trained Transform encoder based on drift-free source domain data, constructing a source domain reference model and initializing an online updating component; in the real-time classification stage, after preprocessing and feature textualization conversion are carried out on target domain data, the drift mode type of the target domain data is judged by calculating feature distribution similarity, and representative samples are screened from current data; aiming at the new drift mode, training a new LoRA adapter; for a known drift mode, loading an existing LoRA adapter and carrying out lightweight fine tuning; and finally, obtaining a model for gas classification. According to the method, self-adaptive and lightweight online learning of sensor drift is realized, the calculation overhead and the storage requirement are reduced while the classification precision is ensured, and the long-term stability of an electronic nose system in a dynamic environment is improved.

Provided are a data transmission method and apparatus, and a storage medium. The data transmission method includes receiving, by first UE, bearer configuration information sent by a serving node; and performing, by the first UE, bearer configuration.

This application discloses a data processing apparatus controlling method and apparatus, to reduce processing time. The method includes: obtaining two target data groups, where the two target data groups are 1st data groups in two data sets, there are a plurality of first data groups in a first data set, key values of any data group in the data set are less than key values in a data group following the any data group; and when a largest key value in a first target data group is less than or equal to a largest key value in a second target data group, using a next first data group of the first target data group as another first target data group. Therefore, an operation amount can be reduced, and operation efficiency can be improved.

The invention discloses a real-time storage optimization method based on block data, which relates to the technical field of big data processing and distributed storage, introduces a block data concept, realizes block-by-block writing, in-block ordering, block-level ordering and an intelligent flush trigger mechanism, and realizes real-time writing with high throughput, low delay and low memory occupation. The method specifically comprises the steps that block data is introduced into a data memory model to serve as a basic processing unit, multiple rows of data are aggregated into a block according to an aggregation key CKValue, row data in the block are sequenced according to a primary key PK, and write-in, namely aggregation is achieved; writing data, aggregating according to blocks, and uniformly sorting in the blocks; one block, namely multiple rows of data, generates an FRC file, and small files are reduced; exception processing: supporting block-level recovery to skip a failed block; the core problems of too high memory occupation, large CPU consumption, high writing delay and the like in a high-concurrency and high-throughput real-time writing scene can be solved, and the method is widely applied to scenes with extremely high requirements on data real-time performance and system stability.

The utility model discloses a bidirectional charging and DCDC integrated circuit structure, which comprises a two-stage EMI filtering input module, a bridgeless totem-pole PFC module, an LLC module, a phase-shifted full-bridge DCDC module and a two-stage EMI filtering output module, and is characterized in that alternating current is connected with the input end of the bridgeless totem-pole PFC module through the two-stage EMI filtering input module; the output end of the bridgeless totem pole PFC module is connected with a first winding of a magnetic integrated main transformer in the LLC module, the output end of the LLC module is connected with the large battery pack through the two-stage EMI filter output module, and a second winding and a third winding of the magnetic integrated main transformer in the LLC module are connected with the phase-shifted full-bridge DCDC module; the LLC module is a double-pole single-throw LLC module, and a resonant inductance coil and a resonant capacitor are adjusted through a double-pole single-throw switch, so that the gain range is adjusted, and the resonant frequency is maintained.

The invention relates to determining a causal model for controlling an environment. Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, are provided for determining a causal model for controlling an environment. One of the methods includes identifying a program instance; selecting control settings for the program instance, including for a particular one of the controllable elements: assigning the program instance to a cluster of the particular controllable element according to a current value of a set of clustering parameters for the particular controllable element; and selecting settings for a particular controllable element of the program instance based on the cluster-specific causal model; obtaining an environmental response to the selected control settings, the environmental response defining a value of a performance metric for the program instance; and updating, for a particular controllable element, the causal model of the cluster of controllable elements to which the program instance is assigned based on the value of the performance metric.

The application discloses a lane departure warning test method, system, device and storage medium. The method comprises the following steps: acquiring a set of aiming point position data collected by a positioning device according to a preset collection mode, and acquiring alarm sound information of a lane warning collected by a sound catcher; generating a first lane action line and a second lane action line according to the aiming point position data; acquiring the emission time and frequency of all alarm sounds according to the alarm sound information, and acquiring vehicle driving information corresponding to the lane warning; comparing and judging the frequency corresponding to each alarm sound and the vehicle driving information with a preset lane departure warning condition, and outputting lane departure warning test result information. The lane departure warning test method solves the problem that the test result is limited by the simulation model error and the performance of the vehicle-mounted system when the triggering time of the lane departure warning is tested by using the simulation model and the vehicle-mounted system, thereby causing the measurement result to be inaccurate.

This application provides a picture processing method and an apparatus. At an encoder side, the method includes: The encoder side obtains a to-be-processed picture, obtains a plurality of groups of visual sensory experience parameters, and encodes the to-be-processed picture and the plurality of groups of visual sensory experience parameters. At a decoder side, the method includes: The decoder side obtains a to-be-processed picture, obtains a zoom-in operation instruction, obtains one or more groups of visual sensory experience parameters corresponding to one or more local pictures, and separately processes the corresponding local picture based on the one or more groups of visual sensory experience parameters to obtain a processed local picture. In this application, a picture presented by a zoomed-in region can be used to simulate visual sensory experience for a real scene that is of a to-be-zoomed-in region and that is perceived by human eyes. This resolves a problem that a zoomed-in picture is unclear and blurred, and can improve visual zoom-in experience of a user.

The present invention discloses a human body mesh decoupling representation method based on a mesh autoencoder, comprising: 1) constructing a training data set and a mesh autoencoder, the mesh autoencoder is composed of an encoder and a decoder, the encoder is composed of a shape encoder, a posture encoder and a rotation and translation encoder, taking a human body mesh as input, the shape encoder outputs a shape coding representation, the posture encoder outputs a posture coding representation, the rotation and translation encoder outputs a rotation matrix and a translation vector, the decoder takes a combined encoding of the shape coding representation and the posture coding representation as input, and outputs a human body mesh; 2) training the mesh autoencoder with the training data set, and inputting the human body mesh into the trained mesh autoencoder to obtain its decoupling representation. The present invention can obtain a shape and posture representation of a human body mesh that is rotation and translation invariant and independently decoupled from each other, so that more three-dimensional human body meshes of different shapes and postures can be edited and synthesized using existing human body mesh data.

The utility model discloses a fuel oil control system for an aviation flight simulator, which is characterized by comprising simulation fuel oil control equipment and system measurement and control equipment, the simulation fuel oil control equipment is connected with the system measurement and control equipment through a field bus; wherein the system measurement and control equipment is used for sending a query instruction to the simulation fuel oil control equipment, receiving action state information sent by the simulation fuel oil control equipment based on the query instruction, and / or sending a control instruction to the simulation fuel oil control equipment; and the simulation fuel control equipment is used for receiving the query instruction and / or the control instruction, sending the action state information to the system measurement and control equipment according to the query instruction, and controlling a target object to execute a target action according to the control instruction so as to collect and store the action state information.

The invention relates to the technical field of environment-friendly recovery of plastic products, and particularly discloses a processing device and a processing method before environment-friendly recovery of plastic products. The processing device comprises a machine body, an uncapping conveying belt is arranged on the machine body, and a pressing plate is arranged above the position, close to an outlet of the uncapping conveying belt, of the machine body in a lifting mode; a cap removing sleeve is arranged at the end, at an outlet of the cap removing conveying belt, of the machine body, a cap removing strip is arranged in the cap removing sleeve, a winding wheel is further rotationally connected into the cap removing sleeve, and a limiting plug is arranged on the side, away from the cap removing conveying belt, of the cap removing strip of the cap removing sleeve. A hydraulic cylinder used for moving the cap removing sleeve is fixedly connected to the machine body, a motor is further fixedly connected to the machine body, a cap withdrawing assembly used for withdrawing the bottle caps from the cap removing sleeve is arranged in the cap removing sleeve, and a restoring element used for restoring the cap removing strip to the initial expansion state is further arranged in the cap removing sleeve. The machine body is provided with a lifting piece used for driving the pressing plate to ascend and descend. The device has the effect of reducing the labor cost when the bottle cap is separated from the bottle body.

The invention relates to the technical field of measuring devices, and discloses a crown diameter measuring device and a crown measuring method for forestry investigation planning.The crown diameter measuring device comprises an equipment base, a theodolite and a tripod, the equipment base is installed at the top of the tripod in a quick-release mode, and an extension plate is fixedly installed on one side face of the equipment base; the equipment base is provided with a side plate, a bisecting plate, a limiting mechanism and a bisecting mechanism; according to the tree crown diameter measuring device, the distance between a measuring point and a measured tree does not need to be measured, the measuring operation of the tree crown diameter can be completed directly through the angles obtained through measurement of the measuring device at the two positions, data obtained through measurement are fewer, measurement is more convenient and faster, and the measuring device is more convenient to operate through the arrangement of the equipment base, the extension plate, the side plate, the bisection plate and the bisection mechanism. The bisecting plate points to the bisector of the included angle formed by the two side plates under the control of the bisecting mechanism, so that the theodolite is always located on the connecting line of the equipment base and the central axis of the trunk when the theodolite moves, and the measurement error is reduced.

The invention discloses a rapid AE method, system and device based on an overexposure speckle proportion, and a storage medium. The method comprises the following steps: S1, obtaining a speckle pattern and corresponding exposure time; s2, extracting speckle centers and an adjacent pixel region of each speckle center on the speckle pattern; s3, calculating an average amplitude value of adjacent pixel areas of each speckle center, and determining an overexposure speckle proportion; and S4, judging whether the overexposure speckle proportion is close to an ideal value, performing fine adjustment when the overexposure speckle proportion is close to the ideal value, and performing coarse adjustment when the overexposure speckle proportion is not close to the ideal value. According to the method, the effect of rapid convergence in a short time can be achieved through the speckle pattern.

A discharge device coupled to a storage container accommodating contents to discharge a fixed quantity of the contents includes: a fixed portion configured to fix the discharge device to the storage container; a passage portion having an opening formed in a shape of a through-hole, through which the contents are discharged, at an upper end and configured to form a movement path for discharging the fixed quantity of the contents; and a passing movement portion rotatably installed at the fixed portion and configured to rotate for the contents to pass, wherein the passing movement portion includes an opening member configured to open or close the opening, a rotating shaft portion connected to the opening member and having a rotating shaft that serves as a center of rotational movement, and a blocking member connected to the rotating shaft portion and configured to rotate together with the opening member, while the storage container and the discharge device are tilted at a critical angle of inclination from an angle of inclination of 0° at which the storage container and the discharge device stand upright, a center of gravity of the passing movement portion is configured to be positioned relative to the rotating shaft for rotation of the passing movement portion to be suppressed, and the critical angle of inclination is an angle of the storage container relative to the angle of inclination of 0° at which the contents come in contact with the opening member.

The present invention provides an intelligent car and an intelligent control method thereof, belonging to the technical field of elevator cars. The intelligent car comprises a car body, one end of which is provided with a switch slot, two air dispersion plates, the two air dispersion plates are fixedly connected to the switch slot, an exhaust fan, the exhaust fan is connected to the adjacent ends of the two air dispersion plates by rotating an electric roller, and two sets of driving mechanisms are arranged on the upper side of the car body. The exhaust fan can be driven to rotate between the two air dispersion plates by the rotation of the electric roller to perform ventilation treatment in the car body. At the same time, the rotation of the electric roller will also start the driving mechanism, and the sterilization and deodorization liquid such as spices in the spray pipe will be sprayed out through the diffusion nozzle through the driving mechanism. At the same time, the sprayed liquid is further diffused through the rotation of the exhaust fan, thereby achieving the effect of sterilization and deodorization, and improving the user experience.

The invention relates to a cache updating method, system and device. The method comprises the following steps: a synchronous cache server receives hot cache feature information and ip address information of two adjacent periods sent by each edge cache server, and the hot cache feature information is used as cache feature information by the edge cache server periodically acquiring cache hit times and latest cache hit time requested by a user; the method comprises the following steps of: acquiring IP address information and hot cache feature information, correspondingly storing each piece of cache feature information into an edge lru linked list, performing edge lru sequencing determination according to each piece of cache feature information, generating a corresponding report feature list and acquiring incremental cache hit times based on each piece of ip address information and hot cache feature information, and sending the report feature list and the incremental cache hit times to a parent layer cache server. And the parent layer cache server updates the parent layer lru sequence of each cache according to the reported feature table and the incremental cache hit times, and finally updates the cache stored in the parent layer lru linked list based on the updated parent layer lru sequence. According to the method, the cache updating efficiency can be improved.

A transmission device according to the present technology includes: an image acquisition unit that acquires a first shelf image captured with respect to a goods shelf on which goods are displayed at a first time, and a second shelf image captured with respect to the goods shelf at a second time later than the first time; a region recognition unit that recognizes a difference region between the first shelf image and the second shelf image; a cut-out processing unit that cuts out a partial image from the second shelf image such that the difference region is included therein; and a transmission processing unit that transmits the first shelf image and the partial image to a receiving device.

This invention provides a session monitoring method and apparatus. The platform provides a user session window. The method includes: monitoring communication data in the user session window when a target user account logs into the platform; when abnormal data is detected in the communication data, determining the target business system used by the target user account when it logs into the platform; storing the business data generated by the target business system in response to the business request issued by the target user account into a database to be screened; and performing anomaly analysis on the data in the database to be screened. This invention enables order monitoring based on user sessions and effectively reduces the amount of data generated during monitoring, thereby improving the efficiency of subsequent screening.

A fast AE depth camera is characterized in that the fast AE depth camera comprises a speckle projector used for projecting speckles; the receiver is used for receiving reflection signals of the speckles and generating a speckle pattern; the processor is used for extracting a speckle center according to the speckle pattern, calculating an average amplitude value and determining an overexposure speckle proportion; and judging whether the overexposure pixel proportion is close to an ideal value, performing fine adjustment on the exposure parameters when the overexposure pixel proportion is close to the ideal value, and performing coarse adjustment on the exposure parameters when the overexposure pixel proportion is not close to the ideal value. According to the method, the effect of rapid convergence in a short time can be achieved through the speckle pattern.

The present invention relates to an image decoding method using residual information in an image encoding system and an apparatus thereof. According to the present document, an image decoding method performed by a decoding apparatus includes the steps of receiving a bitstream including residual information of a current block; deriving a particular number of context-coded bins for a context syntax element of a current sub-block of the current block; decoding the context syntax element of the current sub-block included in the residual information based on the particular number; deriving transform coefficients of the current sub-block based on the decoded context syntax element; deriving residual samples of the current block based on the transform coefficients; and generating a reconstructed picture based on the residual samples.

A method, system and device for recognizing a speckle pattern by using an RGB face recognition model, and a storage medium, the method comprising: step S1, performing feature extraction on the speckle pattern by using the RGB face recognition model to obtain a first feature; s2, processing the first feature through a converter to obtain a second feature; wherein the converter is obtained by training a speckle pattern and an RGB (Red, Green and Blue) pattern which are paired; and S3, comparing the second features to obtain a comparison result. According to the invention, the speckle pattern can be quickly and effectively recognized by using the existing RGB face recognition model.

The present invention provides a method and system for laser welding of thin plates with non-uniform cross-sections with a guiding function, the method comprising the following steps: laser welding thin plates of different thicknesses into an upper frame welding assembly and a lower frame welding assembly; integrally stamping the upper frame welding assembly and the lower frame welding assembly into a frame welding assembly; guiding and positioning the frame welding assembly on the vehicle body through a bushing with a large upper portion and a small lower portion with a guide; simulating and verifying various aspects of the performance of the frame welding assembly to obtain simulation verification results; obtaining the optimized size of each thin plate based on the obtained simulation verification results. The present application uses thin plates of different thicknesses for welding to achieve the optimal design of the frame weight and performance; by laser welding thin plates and then integrally stamping and forming, the welding quality of the frame is ensured, while reducing component data, welding processes and costs; the frame is guided and positioned on the vehicle body to effectively improve the installation and positioning accuracy of the frame.

The invention discloses a power system safety self device action scheme generation method and device, equipment and a storage medium. The method comprises the following steps: constructing an equipment attribute vector based on key attributes of various participating equipment of the power system, and converting the equipment attribute vector into an equipment representation vector through an equipment representation network; based on the equipment representation vector, a fault representation vector is constructed through aggregation, splicing and multi-layer perceptron processing; the method comprises the following steps: constructing an equipment topological graph according to a topological structure of an electric power system equipment network, adding isolated fault nodes, and using an equipment representation vector and a fault representation vector as node attributes; and through a multi-layer message propagation network and a link prediction network, predicting a link relationship between a fault node and an equipment node, and converting the link relationship into a security device action scheme after a fault occurs. According to the method, the hidden association between the fault and the equipment is learned and mined from the historical data, and the security and automation device action scheme is generated, so that the intelligence and rapidness of the security and automation device action scheme of the large-scale power system are realized.

The invention relates to the field of DC micro-grid stability analysis, and provides a mechanism and data driving fused DC micro-grid low-frequency dynamic parameter identification and evaluation method, which comprises the steps of determining equivalent output impedance of a DC voltage control unit when the DC voltage control unit works in a droop mode; defining an impedance equivalent transformation ratio considering the impedance influence of the outlet line of the direct-current voltage control unit; establishing a constant power load equivalent circuit model; carrying out constant-power load equivalent modeling to obtain a reduced order form of the total parallel impedance of the direct-current micro-grid; measuring DC voltage and DC current output by a port of the DC voltage control unit before and after disturbance, extracting steady-state voltage and current values, calculating and obtaining steady-state deviation values of the voltage and current before and after disturbance, and obtaining a droop coefficient estimation value of the DC voltage control unit; an objective function for solving the optimization problem is determined; acquiring equivalent load resistance; and the low-frequency dynamic characteristics of the system are analyzed by using the damped oscillation frequency, the damping coefficient, the peak time and the overshoot.

The invention relates to the technical field of general electric digital data processing, in particular to a thermal process control method and system for a quartz diffusion tube, and the system comprises a simulation unit which is used for carrying out the modeling processing according to the physical structure of the quartz diffusion tube, obtaining a digital twinborn body representing the quartz diffusion tube; a related process group related to the thermal process is obtained, the process parameter range of the thermal process is determined according to the process parameters of the thermal process in the related process group, and the related process group is a process combination which jointly influences the quality of the quartz diffusion tube; performing thermal simulation processing of transient temperature distribution on the digital twin in the process parameter range to obtain a simulation result; and based on the simulation result, determining a target process parameter from the process parameter range, and sending the process parameter to equipment related to the thermal process, so that the equipment executes the target process parameter.

The present disclosure provides a lighting device and a method and system for controlling the lighting device, wherein the lighting device control method is a method for controlling the lighting device by an effect application executed by at least one processor on a director terminal, comprising the steps of: generating a library setting a light emitting mode of a plurality of lighting devices; generating a scenario setting a light emitting mode of the plurality of lighting devices within a specified time; generating a performance preparation data including at least one of the library and the scenario; providing the generated performance preparation data to the plurality of lighting devices; transmitting a lighting device control signal to the plurality of lighting devices, the lighting device control signal commanding execution, interruption or termination of at least one of the library and the scenario within the provided performance preparation data; and implementing a comprehensive lighting control performance effect according to the transmitted lighting device control signal.

A biometric identification device based on a surface light source is characterized by comprising: a housing including a light-emitting surface; a sensor located inside the housing for receiving reflected signals from a palm or face; multiple lateral light sources located inside the housing, emitting active light towards a center point; the center point being the center of a shape formed by the multiple lateral light sources; a light guide plate located on the light path of the lateral light sources illuminating the center point, for causing the active light to exit from the side; and a light-diffusing plate located above the light guide plate to ensure uniform emission of the active light. This invention utilizes lateral light sources illuminating along the light guide plate and a light-diffusing plate to ensure uniform emitted light, resulting in a more uniform light path, lower cost, fewer control components, and is beneficial for large-scale applications.

The present invention relates to an image decoding method using residual information in an image encoding system and an apparatus thereof. According to the present document, an image decoding method performed by a decoding apparatus includes the steps of receiving a bitstream including residual information of a current block; deriving a particular number of context-coded bins for a context syntax element of a current sub-block of the current block; decoding the context syntax element of the current sub-block included in the residual information based on the particular number; deriving transform coefficients of the current sub-block based on the decoded context syntax element; deriving residual samples of the current block based on the transform coefficients; and generating a reconstructed picture based on the residual samples.

The invention discloses an ICU patient physiological information detection method and system. The multiple patient time physiological index sets cut by the patient are used for finding the physiological indexes of the patient in the common state, and the physical states of the patient changing at multiple time points are judged according to the overall physical state, composed of the multiple physiological indexes, of the patient by adopting the constructed matrix. And according to the physiological indexes of a plurality of time points segmented into a certain class, converting the physiological indexes into Fourier images so as to judge the change condition of the physiological indexes of a single class. The patient change network detected in real time, the time convolution network for calculating the common state and the three-dimensional reconstruction network are trained and detected through multiple types of physiological indexes of multiple time points of the user. The method is used for calculating the physiological indexes in a common state for specific diseases. And the patient can be trained to change the network, so that the technical effect of more accurately obtaining the improvement, deterioration and common states of the user compared with the user under the condition of reducing data is achieved.