51results about How to "Avoid low accuracy" patented technology

The invention discloses a multi-modal fusion feature emotion recognition method, and particularly relates to the technical field of biological recognition. Comprising the following steps: S1, establishing an emotion induction experiment task platform by screening or designing VR scene tasks; s2, collecting physiological signals of the testee under different emotions based on an emotion induction experiment task platform, and preprocessing the physiological signals; s3, performing feature extraction and dimension reduction processing on the preprocessed physiological signals; and S4, establishing an emotion classification and prediction model for the features subjected to dimension reduction processing through a recurrent neural network. By adopting the technical scheme of the invention, the problems of low recognition rate and poor robustness of an emotion recognition model in existing emotion recognition are solved, and the safety of man-machine interaction operation is improved.

The invention discloses a city entity data updating method and device and a storage medium, and relates to the technical field of data processing, and the method comprises the steps: if it is detected that a difference exists between CIM platform data corresponding to a historical time node and CIM platform data corresponding to a current time node, determining the matching degree between the current time node and the CIM platform data corresponding to each data source; if the matching degree is greater than or equal to a preset threshold value, determining target update data from the current time node and the CIM platform data corresponding to each data source; and according to the target update data, updating a preset city entity database and a knowledge graph database. The accuracy of the city database updating result can be improved.

The invention relates to an accelerator chip instruction operation analysis method and device, equipment, a medium and a product. The method comprises the following steps: obtaining a plurality of data streams obtained by executing a binary file corresponding to a target kernel function by an accelerator chip, then obtaining a plurality of assembly instruction codes corresponding to the binary file according to the binary file, and then obtaining a plurality of assembly instruction codes corresponding to the binary file according to a time sequence of a clock cycle, performing matching processing on each assembly instruction code and a data stream corresponding to the assembly instruction code in sequence to obtain an instruction code analysis result corresponding to the assembly instruction code, the instruction code analysis result comprises at least one of the number of clock cycles required by the accelerator chip to execute the assembly instruction code and the number of execution times corresponding to the assembly instruction code. By adopting the method, the accuracy of analysis results can be improved.

The invention discloses a service analysis report generation method and device and a computer storage medium. In the scheme, report demand information is acquired; the report demand information comprises key information required for generating the service analysis report; mapping the report demand information into a plurality of service statistical indexes according to a preset index relation tree; the preset index relation tree is used for representing a corresponding relation between the business statistical indexes; obtaining index data corresponding to each service statistical index; generating a target cue word based on the index data and a preset cue word template; and inputting the target cue word into the large language model, and performing analysis and reasoning on the target cue word by the large language model to generate a business analysis report. According to the technical scheme, the problem that the accuracy of the generated service analysis report is low due to the fact that a large language model is difficult to accurately understand specific vocabularies in the report demand information is solved, and the accuracy of generation of the service analysis report is improved.

The invention relates to the technical field of watershed biological monitoring sampling, in particular to a watershed biological diversity monitoring sampling device which comprises a first fixing plate, a controller is fixedly connected to the top of the first fixing plate, and a waterproof layer is coated outside the controller. The bottom of the first fixing plate is fixedly connected with a second fixing plate through four second fixing rods and one first fixing rod, a clamping block is arranged outside the first fixing rod, a collecting assembly is arranged on the side face of the clamping block and comprises a sampling bottle abutting against the clamping block, a protruding block is arranged in the sampling bottle, and a magnetic attraction ring is fixedly connected to the top of the protruding block. A filtering piece is slidably connected into the sampling bottle, a limiting block is arranged at the top of the filtering piece, the bottom of the limiting block is connected with the magnetic attraction ring in a magnetic attraction mode, a fixing block is arranged at the bottom of the sampling bottle, and clamping grooves are formed in the two sides of the fixing block. In addition, the sampling bottle can be conveniently mounted, and the collected water sample can be roughly separated.

The invention discloses an electrolytic cell fault analysis method, device and equipment, a storage medium and a related product. The method comprises the following steps: acquiring a training data set; performing data supplementation on the training data set to generate a supplemental data set; the supplementary data set comprises a fault type set and multiple groups of basic information corresponding to each fault type in the fault type set; performing clustering processing on the supplementary data set, and establishing a corresponding relation between each fault type and response characteristics; the response features are common feature data of multiple groups of basic information corresponding to the fault type; and on the basis of the corresponding relation between each fault type and the response feature, a fault type and response feature matching database is constructed, electrolytic cell fault diagnosis is carried out on the basis of the fault type and response feature matching database, and fault diagnosis can be carried out on the electrolytic cell on the basis of a small number of training data sets.

The invention discloses a highway bridge safety state assessment method and system, and relates to the technical field of highway bridge state assessment, and the method comprises the steps: collecting the time sequence vibration data of a plurality of key nodes of a highway bridge and the overall surface image data; inputting each time sequence vibration data into the improved generative adversarial network, generating denoised time sequence vibration data, and performing initial state evaluation according to the denoised data to obtain an initial evaluation value; wherein a generator in the network adopts an encoder-decoder structure, and a channel attention mechanism is additionally arranged between feature encoding and feature decoding; identifying all cracks in the surface image data, performing region division on the cracks, calculating according to the crack of each region to obtain a secondary evaluation value, and using the secondary evaluation value to assist in adjusting the initial evaluation value; and for each adjusted evaluation value, integration is carried out based on the support degree between the data, and an overall evaluation result is obtained. The accuracy and efficiency of highway bridge safety state evaluation can be effectively improved.

The invention discloses a kit which comprises a binding molecule which is not connected with a solid phase and a signal inhibitor, different reagent types can be matched according to different sample detection requirements, and the kit integrates the advantages of a solid phase cleaning detection technology and a homogeneous phase detection technology. Not only is unnecessary cleaning avoided when a whole sample is detected in a solid phase mode, but also the problem of low accuracy caused by existence of a special sample when the whole sample is detected in a homogeneous phase mode is avoided. Meanwhile, by adding the signal inhibitor, the signal-to-noise ratio can be remarkably increased, the signal inhibitor with better stability is screened out, and the influence of environmental factors on the reagent in practice is reduced.

The invention discloses a warehouse data intelligent inventory system and method, the system comprises a warehouse intelligent system and a background server, the background server is used for loading a program to execute the following steps: obtaining the occurrence frequency of a first abnormal condition according to a set data statistics time period, the first abnormal condition is determined according to monitoring management data obtained from a warehouse intelligent system, and the starting time node of the data statistics time period is the ending time node of the last check work; determining a first inventory prompt value according to the occurrence frequency of the first abnormal condition; and when the first inventory prompt value is greater than the first early warning threshold value, outputting a first inventory early warning signal. By adopting the scheme of the invention, the timeliness and rationality of inventory work execution can be ensured, so that the accuracy of inventory work and the work processing efficiency are improved, and meanwhile, the increase of invalid operation cost is also avoided.

The present disclosure provides a text detection method, electronic device, medium and computer program product, which relate to the field of data processing technology. The method includes: obtaining image features of a target object; inputting the image features into a first decoder of a text detection model to obtain a first feature, and obtaining a first text detection result based on the first feature; inputting the first feature into a second decoder of a text detection model to obtain a second feature, and obtaining a second text detection result based on the second feature; wherein the first text detection result and the second text detection result are text detection results of different levels, and the levels of the text detection results include: word level, line level, or paragraph level. The present invention can obtain multiple levels of text detection results at the same time, and does not need to perform text detection on another level based on the text detection result of one level, but obtains the text detection results of each level based on the first feature, and the text detection results are highly accurate.

This invention relates to a method, apparatus, medium, device, and product for intelligent mail delivery. The method includes: acquiring electronic mail from citizens to be delivered; extracting features from the electronic mail to obtain mail feature data; extracting keywords from the electronic mail; determining candidate delivery departments based on the mail feature data and the keywords; selecting a target delivery department from the candidate departments; and delivering the electronic mail to the target delivery department. This application can improve the accuracy and efficiency of mail delivery.

A modular pin needle visual detection method, a detection server, a medium and a product relate to the field of machine vision detection. The method comprises: acquiring a standard model of a connector; acquiring a product image through a visual detection module; calculating a first actual coordinate of an anchor point in the product image through an image recognition algorithm; calculating an actual offset angle of the placement position of the connector according to the first actual coordinate and the first standard coordinate of the anchor point; establishing a detection coordinate system according to the actual offset angle and the actual coordinate system; determining a scanning path of the visual detection module; acquiring scanning images of each pin needle through the visual detection module according to the scanning path; calculating second actual coordinates of each pin needle according to the detection coordinate system and the scanning images; and performing abnormal detection on each pin needle to obtain a detection result. The technical scheme of the present application effectively improves the detection accuracy of the pin needle and avoids the problem of reduced detection accuracy of the pin needle caused by the deviation of the placement position of the connector.

This application discloses a method, apparatus, and electronic device for placing goods using an AGV, to improve the accuracy of goods placement by the AGV. The method includes: determining, based on a captured image, the horizontal distance between the AGV and a first reference line, and a first angle between the AGV and the first reference line; wherein the captured image is an image captured by an image acquisition device; determining whether the horizontal distance is less than a first threshold and whether the first angle is less than a second threshold; if so, controlling the AGV to enter a correction area until the distance between the AGV and a stop indicator in the ground markings is less than a third threshold, and placing the goods in a target area within the correction area; wherein the correction area includes the ground markings.

The present disclosure provides a communication method, apparatus, device and readable storage medium, which relate to the field of communication. The method includes: determining the channel monitoring result of LBT (listen before talk); updating the LBT counter or timer according to the channel monitoring result and the corresponding perception beam identifier or beam set identifier. By synchronously determining the perception beam or beam set corresponding to the LBT channel monitoring result during the LBT channel monitoring result process, it is determined whether the beam corresponding to the channel monitoring result has changed, thereby avoiding the problem of low LBT accuracy caused by different beams corresponding to counts or timings on the same counter / timer, and solving the counting / timing of directional LBT.

The present invention discloses a method and device for determining the lowest pressure point of a pipeline network provided by an embodiment of the present invention, the method comprising: obtaining the pipeline network information of the pipeline network to be determined, and obtaining the gas source point information and the user node information according to the pipeline network information; then calculating the path with the minimum pressure loss according to the gas source point information and the user node information, and combining the first shortest path algorithm; finally, according to the path with the minimum pressure loss, obtaining the pressure loss and corresponding to each path with the minimum pressure loss, and determining the first pressure point according to the pipeline network information and multiple pressure loss and, obtaining the lowest pressure point of the pipeline network; wherein, the lowest pressure point of the pipeline network includes the first pressure point. The use of the embodiment of the present invention can improve the accuracy of determining the lowest pressure point of the gas pipeline network.

The utility model belongs to biscuit production technical field, concretely relates to a kind of automatic picking device of broken biscuit, including conveying frame, the port of air inlet pipe is successively equipped with baffle ring and wind speed detector, the bottom of the blocking plate is equipped with multiple automatic baffle, the conveying frame is symmetrically equipped with two the material guide plate and two conveyer belts, the symmetry axis of the material guide plate and the conveyer belt is perpendicular, the material guide plate covers the top of one the conveyer belt and then tilts to another the conveyer belt;By setting suction plate, baffle ring, wind speed detector and negative pressure device, biscuit will cause hindrance to the airflow entering air inlet pipe, the ability of airflow hindering of complete biscuit and broken biscuit is different, whether biscuit is broken can be determined by comparing wind speed, biscuit is lifted by airflow during detection, after detection, biscuit falls down, secondary detection is carried out at this time, avoid the accuracy of device detection to reduce due to crack in biscuit.

The invention discloses a method for determining layout information of sensing equipment and electronic equipment. The method comprises the steps that an area of induction equipment to be arranged is collected, the area of the induction equipment to be arranged comprises at least one candidate arrangement position, and the candidate arrangement position is used for arranging at least one candidate induction equipment to be arranged; a candidate induction device set corresponding to the area where the induction devices are to be arranged is obtained, and the candidate induction device set at least comprises candidate induction devices located at the candidate arrangement positions; determining constraint condition information of the layout sensing equipment based on the area of the to-be-arranged sensing equipment and the candidate sensing equipment set; integer programming processing is carried out on the candidate induction device set and the constraint condition information, at least one target induction device meeting the constraint condition information in the candidate induction device set is obtained, and layout information in the area where the target induction device is located is output. The technical problem that the efficiency of determining the layout information of the target sensing equipment is low is solved.

The invention provides a vibration-based axle box fault detection method and device, electronic equipment and a storage medium, and the method comprises the steps that target vibration data of a to-be-detected axle box is obtained, the target vibration data comprises a plurality of vibration time domain signals, and the to-be-detected axle box is a main roller shaft box in a multi-wire cutting machine; the amplitude of each vibration time domain signal in the target vibration data is compared with an amplitude threshold value, a normal signal proportion is determined, and the amplitude threshold value is obtained according to a vibration time domain signal generated by vibration of a sample axle box in a non-fault state; whether the normal signal proportion reaches a set proportion or not is judged, if not, it is determined that the axle box to be detected is in a fault state, and the set proportion is determined according to the normal sample signal proportion of the sample axle box in the fault state. According to the scheme, fault detection is automatically realized based on the vibration condition of the axle box, so that the accuracy and timeliness of fault detection are improved.

The invention provides a search method and device, equipment and a storage medium, and relates to the technical field of computers. The search method comprises the steps of obtaining a to-be-searched text; based on a standard verbal skill formulated in advance, performing fuzzy search on the to-be-searched text to obtain a first target fragment; in response to the fact that the text similarity between the first target fragment and the standard verbal skill is smaller than a first threshold value, segmenting the to-be-searched text to obtain a plurality of text fragments; based on the feature vector of the standard verbal skill and the feature vectors of the text segments, performing semantic search on the plurality of text segments to obtain a second target segment; and in response to the fact that the similarity between the feature vector of the second target fragment and the feature vector of the standard verbal skill is greater than a second threshold value, determining the second target fragment as a search result corresponding to the to-be-searched text.

The utility model relates to a flatness testing fixture which comprises a measuring platform. The positioning mechanism is arranged on the measuring platform and is used for positioning a to-be-measured workpiece, so that a preset plane height is kept between the to-be-measured workpiece and the measuring platform; the pressing assembly is also arranged on the measuring platform and is used for pressing the workpiece to be measured; the device is characterized in that the device also comprises a detection member, the detection member comprises a measurement part which is parallel to the measurement platform and is used as a reference surface, a base part which moves along the measurement platform, and a connection part which connects the measurement part and the base part, and the measurement part is provided with at least two parallel measurement surfaces which are attached to a to-be-measured surface of a to-be-measured workpiece. And when the to-be-measured surface can be attached to any measuring surface, the flatness of the to-be-measured surface of the to-be-measured workpiece meets the requirement. The utility model has the advantages that the whole measuring process is time-saving and labor-saving, the efficiency is high, the precision is high, and even if the thickness of the surface to be measured is thinner and the width is narrower, the surface to be measured cannot be damaged.

The invention discloses a shackle hanging state recognition method and device based on image recognition, and the method and device are applied to a shackle, and the method comprises the steps: obtaining an image of the inner side of the shackle in real time through a camera; wherein the camera is arranged on one side of the hook ring; identifying the image, acquiring boundary features of a shackle and an object in the image, and determining an area, shielded by the object, of the shackle according to the boundary features of the shackle; wherein the boundary feature comprises a first shackle boundary and a second shackle boundary; when the objects in the area shield the boundary of the first shackle and the boundary of the second shackle, the shackle is determined to be in a hanging state; otherwise, the shackle is determined to be in an untied state. The technical problems that in the prior art, when high-altitude operation workers move, the detection error of the hooking state of the hook ring is large, and the accuracy is low are solved.

Methods according to embodiments of the present disclosure include receiving channel state information-reference signals (CSI-RS) and reporting channel state information (CSI). The CSI includes i) first information related to channel prediction and ii) second information related to interference prediction.

The invention provides a method and device for evaluating the control state of a pipeline overturning lining repairing system. The method comprises the steps that m evaluation indexes collected at n different moments are acquired respectively, the jth index at the ith moment is marked as # imgabs0 #, the weight of each evaluation index is calculated based on # imgabs1 #, and the weight of the jth evaluation index is wj; and calculating an evaluation result of the control state at each moment based on # imgabs2 # wj, and sorting the evaluation results according to a sequence from large to small. By adopting the improved linear normalization method, the problem of low accuracy of evaluation index standardization can be avoided, and the evaluation index value which is more practical can be obtained; the objective weight method is introduced, and weighting is performed according to the variation degree of the evaluation index, so that low accuracy of subjective weighting can be avoided, and a more objective and accurate complex system evaluation result can be obtained.

This invention relates to material testing, specifically to a method for detecting defects in steel pipe columns used for foundation reinforcement. The method includes: acquiring echo signals received after emitting acoustic waves onto the steel pipe column; dividing the echo signals into multiple periodic segments; determining the probability of anomalies in each periodic segment based on its own waveform characteristics and the waveform characteristic differences between adjacent periodic signals; determining the multipath difference value between each periodic segment and the first periodic signal based on the multipath characteristics of the signal; determining the degree of distortion in each periodic segment based on the probability of anomalies and the multipath difference value; and determining the defects in the steel pipe column based on the degree of distortion of each periodic signal. This method can improve the accuracy of defect detection in steel pipe columns used for foundation reinforcement.

The commodity information identification method, device, storage medium and computer equipment provided by the present application can perform feature analysis on the target text to determine at least one commodity feature corresponding to the commodity activity link or commodity password when monitoring the target user to copy and paste the target text containing the commodity activity link or commodity password from any e-commerce platform to the present platform; then, the present application can match the at least one commodity feature with a plurality of pre-configured processing strategies according to the preset matching rules, and determine the target processing strategy corresponding to the at least one commodity feature according to the matching results; thus, the commodity activity link or commodity password can be routed to the corresponding processor for parsing according to the target processing strategy, and the commodity or activity corresponding to the commodity activity link or commodity password can be determined according to the parsing results. This process can effectively improve the matching efficiency and reduce the time and cost of manual matching, thereby effectively improving the user experience.

The utility model relates to the technical field of concentrated yoghourt production, in particular to a yoghourt acidity titration device which comprises a top plate, the bottom of the top plate is fixedly connected with a bottom plate, the top of the top plate is provided with a titration mechanism, and the surface of the bottom plate is provided with a testing mechanism; the titration mechanism comprises a top cover, the top of the top cover is fixedly connected with an acid liquor storage barrel, the outer surface of the acid liquor storage barrel is provided with a scale groove, the top of the top cover is provided with a micro cylinder, the bottom of the micro cylinder is fixedly connected with a disc, and the disc extends into the acid liquor storage barrel and is in sliding connection with the acid liquor storage barrel; by arranging the titration mechanism, a gear can be driven to rotate through a driving motor, a rack, an annular sleeve and a brush are driven to circularly move up and down through the meshing effect between the gear and the rack, and dust on the surface of the acid liquor storage barrel can be removed through the up-down circular movement of the brush; the condition that the reading accuracy of the scale value is reduced due to the existence of dust is avoided, and the practicability of the acidity titration device in use is improved.

The present disclosure relates to a method, device, electronic device and storage medium for determining a target recommendation object. The method includes performing target detection on a live frame image of a target live room during the live streaming playback of a target live room, obtaining an object image of the target detection object in the live frame image and first category information corresponding to the target detection object; performing live object category recognition based on live content information corresponding to the live frame image, obtaining second category information of the live object in the target live room; determining a live intent object from the target detection object based on the second category information and the first category information; and determining a target recommendation object from objects to be recommended in the target live room based on the object image of the live intent object. The disclosed embodiments can be used to quickly and accurately automatically match the target recommendation object corresponding to the explanation intent from the objects to be recommended, thereby improving the convenience of the target recommendation object delivery operation.

The utility model discloses a power transmission line tree obstacle detection device, and relates to the technical field of tree obstacle detection, the power transmission line tree obstacle detection device comprises an unmanned aerial vehicle, a connecting part and a detection mechanism used for detecting the tree obstacle distance, the detection mechanism is connected with the unmanned aerial vehicle through the connecting part, and the gravity centers of the connecting part and the detection mechanism are located under the gravity center of the unmanned aerial vehicle; the unmanned aerial vehicle is used for carrying the detection mechanism to detect the tree barrier distance, the convenience is improved compared with a heavy theodolite, the problem that the precision is low when the tree barrier distance is manually judged can be avoided through the arrangement of the detection mechanism, and the detection effect is improved; in addition, the gravity centers of the connecting part and the detection mechanism are located under the gravity center of the unmanned aerial vehicle, the flight stability of the unmanned aerial vehicle can be guaranteed, and the detection effect of the detection mechanism can be improved along with improvement of the flight stability.

The invention provides an environment detection inspection robot and an identification method of the environment detection inspection robot. The environment detection inspection robot comprises a sensing unit which comprises a plurality of sensors and is used for detecting environment information in an explosive warehouse, and the environment information at least comprises one or more of gas concentration, temperature, humidity and particulate matter concentration; the walking unit is used for realizing the movement of the environment detection inspection robot in the explosive warehouse; the controller is in communication connection with the sensing unit and the walking unit, the controller is used for controlling the walking unit to work, and the controller is further used for determining whether the environment in the explosive warehouse is abnormal or not according to the environment information. According to the scheme, the problem that in the prior art, most of robots for inspecting explosive warehouses are provided with single temperature sensors, environment detection is achieved through temperature monitoring, and the accuracy of recognition results is low is solved.

The invention relates to a method and device for determining a filling wedge gas path, equipment and a medium. The method comprises the following steps: acquiring basic parameter information of a filling wedge, wherein the basic parameter information comprises a cylinder working stroke; calculating according to the basic parameter information to obtain the cylinder load and the cylinder maximum speed of the filling wedge; based on the cylinder load and in combination with a cylinder selection list, determining the model and the number of cylinders used by the filling wedge gas circuit; based on the air cylinder model, the air cylinder number, the air cylinder working stroke and the air cylinder maximum speed, the air pipe diameter, the air path connector model and the reversing valve model related to the filling wedge air path, whether an air storage tank is designed or not and the air storage tank model are determined in combination with an air path original part selection list. According to the method, the cylinder load and the cylinder maximum speed of the filling wedge can be calculated according to the basic parameters of the filling wedge, then the filling wedge gas circuit design is carried out based on the cylinder load and the cylinder maximum speed, and the accuracy of the filling wedge gas circuit design is improved.