11results about How to "Avoid recognition errors" patented technology

The invention discloses a harmonic traceability method based on a harmonic power direction of an electric power system, which belongs to the technical field of electric power quality of the electric power system and comprises the following steps of: constructing matrixes of fundamental waves and harmonic signals, initializing active and reactive power deviation values of nodes, and adopting a decoupling algorithm combined with a Jacobian matrix iteration method to carry out harmonic traceability. And sequentially calculating the fundamental wave voltage and each harmonic current, and finally obtaining the power flow direction and judging the harmonic source attribute. When harmonic power flows from a load to a power grid, the node is identified as a harmonic source; and when the harmonic power flows to the load from the power grid, identifying the node as a harmonic receiving point. An equivalent circuit model is used for separating harmonic influences of a linear load and a non-linear load, and a real-time monitoring technology is combined to realize dynamic tracking and accurate positioning of a harmonic source. The method is low in calculation complexity, excellent in convergence performance and suitable for a modern power distribution network scene where distributed energy and power electronic equipment are widely connected, the harmonic suppression efficiency is remarkably improved, and the safety and stability of power grid operation are ensured.

The invention provides an industrial instrument identification system based on machine vision. According to the design scheme, the high-definition visual sensor, the OCR algorithm, containerization deployment and multi-protocol support are combined, and efficient and automatic identification of the industrial instrument is achieved; an identification error caused by position change of the camera is solved through a reference image matching algorithm, and the accuracy of an identification area is ensured; meanwhile, an encryption protocol is adopted to guarantee data transmission security, and robustness and accuracy of text recognition are improved through linkage of real-time illumination, background monitoring and multiple cameras; by means of containerization and multi-protocol support, the system has high flexibility, expandability and efficient operation and maintenance capacity and can be seamlessly integrated with existing industrial equipment and platforms, and the efficiency and reliability of industrial intelligent management are improved.

The invention relates to an energy storage power station industrial control instruction identification method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring network communication data of an energy storage power station in real time; under the condition that the network communication data meets a preset condition, updating the current industrial control instruction identification model according to the network communication data to obtain a new industrial control instruction identification model; obtaining current network communication data of the energy storage power station, and analyzing the current network communication data according to a preset industrial control protocol to obtain an industrial control instruction key field in the current network communication data; and inputting the industrial control instruction key field into the new industrial control instruction identification model as feature information to obtain an industrial control instruction identification result corresponding to the current network communication data. By adopting the method, the identification accuracy of the industrial control instruction can be improved.

The application relates to the technical field of household appliances, and discloses a cleaning brush and a control method thereof. The cleaning brush comprises a main machine, a handle and a machine head. The machine head is connected with the main machine and comprises a water tank and brush hairs. Cleaning medium is arranged in the water tank, and the brush hairs are arranged at the bottom of the water tank. An atomizing water spraying device is arranged at the bottom of the water tank and communicates with the inside of the water tank. The other end of the atomizing water spraying device is provided with a nozzle. The atomizing water spraying device is used for atomizing the cleaning medium and spraying the atomized cleaning medium to a surface to be cleaned and the brush hairs. Compared with the related art, the water tank and the atomizing water spraying device are integrated in the brush head, so that an additional handheld water pipe, a shower for humidification or frequent wetting of the brush hairs is not needed, the cleaning operation process is simplified, and the use convenience is remarkably improved.

The invention relates to the technical field of high-precision maps, and discloses a crowdsourcing map special lane updating method, device and equipment and a storage medium, and the method comprises the steps: obtaining a first road picture shot in a vehicle driving process and the track information of a vehicle; and according to the track information, matching the first road picture with a lane center line in crowdsourcing map data to obtain a second road picture bound with the lane center line. And identifying the special lane features in the second road picture, and generating a change point object containing special lane identification information. And according to the change point object, carrying out differential updating on the special lane data in the crowdsourcing map. According to the invention, poor time efficiency and identification errors caused by depending on a professional acquisition vehicle and a manual operation mode are avoided, low-efficiency operation of repeated updating and coverage of the whole special lane data is avoided, and high-efficiency and high-precision updating and maintenance of the special lane data can be realized.

The invention provides a washing machine fabric identification method and device based on illumination adjustment and a washing machine. The washing machine is internally provided with a plurality of uniformly distributed light sources and at least one image acquisition device. The method comprises the following steps: acquiring a plurality of target brightness combinations containing different brightness combinations of all light sources; controlling light source illumination according to each target brightness combination, and controlling image acquisition equipment to acquire a first target image; and inputting the first target image into a neural network model for identification to obtain an identification result of the fabric type, and determining the fabric type included in the washing machine based on the identification result. The method solves the problem that in the prior art, a fabric identification method for multiple pieces of clothes is low in identification precision.

The present invention discloses a synchronization method for a signal at a receiving end of a Bluetooth comprehensive tester, including detection of a Bluetooth frame header signal and fine synchronization of a Bluetooth frame header signal. The present invention establishes a preamble database of different frame rate types of Bluetooth signals, and according to different preamble autocorrelation characteristics, determines the frame rate of BLE by considering different correlation operation values ​​obtained at different frame rates; further distinguishes BLE, BR and EDR signals by combining the high-order cumulative quantity characteristics of Bluetooth signals; uses the difference between the synchronization sequence of EDR and the BR and BLE modes to calculate different peak-to-average ratios to determine and identify EDR frame modes; combines preambles, peak-to-average ratios and high-order cumulative quantities, as well as packet types to determine and identify the frame rate type of Bluetooth signals, and multiple determination conditions have obvious characteristic differences, ensuring that different Bluetooth signal frame rates can be accurately identified.

This invention discloses a compliant control method for a massage robot with stiffness self-adaptation, comprising a six-degree-of-freedom robotic arm, an end effector, a six-dimensional force sensor, and a control host. By installing a six-dimensional force sensor at the end effector, the contact force between the robot and the human body surface can be collected in real time. Combined with end effector motion data obtained from a pose sensor, the system executes a compliant control closed loop to achieve adaptive and safe massage operation. The method can construct a force control closed loop in real time. Through the force sensor installed at the robot's end effector and combined with a compliant control algorithm based on displacement error, precise, safe, and compliant massage operation can be achieved without relying on a vision system. Simultaneously, it achieves stiffness detection and adaptive control of the massage area, effectively improving the user experience.

This invention provides a method for identifying easily confused pests based on cross-modal semantic alignment. The method includes: collecting visual data, linguistic data, and environmental data related to pests, preprocessing them, and constructing a knowledge graph of easily confused pests; constructing a modality adaptation matrix based on the visual data, text data, and environmental data; and processing the pest information currently input by the user, combining the knowledge graph and the modality adaptation matrix, and outputting the identification results of easily confused pests. This invention overcomes the shortcomings of existing single-modal and simple multimodal pest identification technologies, which have weak ability to distinguish easily confused pests and high misjudgment rates. By deeply fusing four-dimensional features (visual, linguistic, environmental, and regional) and using reasoning assistance from the knowledge graph, it achieves efficient and accurate identification of easily confused pests in different regions.

The present application relates to the field of crane technology, and discloses a method and system for scanning the position of a grab bucket dedicated to a ship unloader. The method comprises: obtaining the original three-dimensional point cloud data set of the cabin by laser scanning, and forming a cabin structure and cargo surface feature data set based on feature extraction and spatial clustering. The feature data set is gridded to establish a cabin operation area model; the accessibility parameters of each grid unit are calculated to establish a grid unit grab accessibility database. A multi-objective optimization algorithm is used to generate a grid grab operation parameter set based on the accessibility database. Based on the cabin operation area model, the grid unit accessibility database and the grab operation parameter set, strategy training is implemented through deep reinforcement learning to output a dynamic obstacle avoidance grab instruction sequence, including horizontal trajectory compensation, vertical trajectory compensation and grab bucket posture compensation parameters. The present application realizes high-precision scanning and intelligent path planning of the grab bucket position of the ship unloader to improve the grab bucket positioning accuracy and operation safety.

The application provides a radar working mode recognition method and device with a self-checking function, and the method comprises the following steps: using a configured shortest path method to pre-recognize the working mode of a radar state sequence; determining a mode estimation result of matching between a candidate string and a verification string based on at least one of a configured active search matching algorithm or a normal matching algorithm; and recording a mode recognition result and a corresponding sliding window moving rule. The embodiment of the application can effectively avoid recognition errors caused by improper mode division, has strong recognition ability for the anti-reconnaissance means of 'one word with multiple modes', and the method provided by the embodiment of the application does not need to create training samples for each mode, can automatically correct recognition deviation by adaptively adjusting a matching strategy through a feedback loop, improves the calculation efficiency on the premise of ensuring the recognition effect.