17results about How to "Effective division" patented technology

The invention discloses a text-image pedestrian re-identification method for noise correlation. The method comprises the following steps: respectively carrying out global feature representation and local feature representation on an image and a text, and carrying out global feature marking and local feature marking; dividing the image and text data by adopting a dynamic selection and correction method specific to an instance; constructing a multi-granularity global feature learning module, and inputting the local features of the image and the text into the multi-granularity global feature learning module to obtain multi-granularity global features; and training an optimization network model through ID classification loss and similarity distribution matching loss, carrying out loss calculation on the identity ID, and completing similarity distribution matching loss calculation on the multi-granularity global features. Through the technical scheme of the invention, the matching precision of pedestrian re-identification based on text description is effectively improved.

The battery box comprises a box body with an opening in the upper end, a box cover for sealing the upper end of the box body and a fire extinguishing assembly located on the side face of the box body, and the box cover and the box body are matched to form a sealed battery mounting bin. The fire extinguishing assembly used for achieving battery fire extinguishing comprises a pressure-resistant storage tank storing lithium battery fire extinguishing liquid and a pump body communicated with the interior of the pressure-resistant storage tank, and the pump body is connected with the box cover through a pipeline and used for feeding the lithium battery fire extinguishing liquid into the box cover. According to the battery box, the fire extinguishing assembly and the fire extinguishing flow channel are integrated, if uncontrollable overheating or fire disasters occur, a fire extinguishing agent can rapidly intervene, fire is prevented from spreading to other parts of a battery system, and therefore the safety of the battery system is greatly improved.

The embodiment of the invention discloses an earphone state detection method and device based on multiple sensors. The earphone has a horn located within the ear canal, a first pickup sensor located within the ear canal and disposed adjacent to the horn, and a second pickup sensor located outside the ear canal. The method comprises the following steps: acquiring first earphone state information according to a source audio signal input to the loudspeaker and a first audio signal picked up by the first pickup sensor; acquiring second earphone state information according to a second audio signal picked up by the second pickup sensor and a first audio signal picked up by the first pickup sensor; and outputting a final detection result of the earphone state based on the first earphone state information and the second earphone state information. According to the method, the feature relationship between the two types of signals is combined, the earphone state can be effectively divided in a complex environment, and the accuracy of earphone state detection is improved.

The invention discloses a medium and low voltage power distribution network fault recovery method based on a BWO algorithm, and the method comprises the steps: S101, obtaining a target power distribution network data set, and constructing a distributed power supply and load system model; s102, carrying out preliminary island division by taking the minimum important load loss after the fault as a target; s103, solving is carried out according to a BWO optimization algorithm, and the population is continuously iterated and updated until the number of iterations is reached or a termination condition is met; and S104, carrying out fault recovery according to a solving result.

The invention relates to the technical field of ray tracing, and provides a fast deterministic channel modeling method based on improved bounding box ray tracing, which comprises the following steps: acquiring a scene containing a plurality of buildings, and determining a surface area heuristic value of a potential segmentation point in the scene; the potential segmentation point is a point used for dividing the space represented by the current node into two subspaces in the process of constructing the hierarchical bounding box tree; the node is a unit in the hierarchical bounding box tree structure; acquiring a set of position surface area heuristic values of all potential segmentation points, and finding out a minimum surface area heuristic value in the set as an optimization problem for modeling; and obtaining a preset threshold value, and when the number of patches in the space represented by the nodes is greater than the threshold value, solving an optimization problem, determining a segmentation plane, and constructing a hierarchical bounding box tree structure by a particle swarm optimization-based traversal segmentation point optimization method.

The invention relates to the technical field of data processing, in particular to a power sales prediction method based on big data analysis, and the method comprises the steps: obtaining historical power sales data; obtaining an electricity sale quantity fitting curve based on historical electricity sale data, and obtaining an electricity sale quantity fluctuation degree of each month; obtaining an initial sequence of each month and a plurality of corresponding differential sequences; the stability degree of each differential sequence of each month is obtained, and then the stability degree of the electricity sale quantity of each month in each year is obtained; obtaining a stability degree sequence of each month in each year; obtaining the importance of each month to a prediction month, and further obtaining an update importance degree sequence of the prediction month; and obtaining an electricity sale quantity adjustment weight of each month, adjusting the ARIMA model, and obtaining an electricity sale quantity prediction value of a prediction month in combination with the electricity sale quantity of each month. According to the method, historical power sales data are analyzed, ARIMA model parameters are adjusted, and the predicted power sales quantity with higher reference value is obtained.

The invention provides a multi-source remote sensing data forestry carbon sink metering and monitoring method and device and a storage medium, and the method comprises the steps: 1, designing a monitoring scheme; step 2, processing and calculating data of manual scale measurement; step 3, unmanned aerial vehicle data processing and calculation; step 4, satellite data processing and calculation; and 5, based on the steps 2, 3 and 4, calculating to obtain the final target carbon reserve and carbon sink quantity, thereby completing the monitoring work of carbon sink metering. According to the method, the reliability of forest land carbon reserve monitoring is improved, the monitoring cost is reduced, the data processing efficiency is improved, the monitoring period is shortened, various technical means are combined, the comprehensive utilization rate of data is improved, an innovative stratified sampling method is provided, and the method is suitable for popularization and application. The carbon sink metering and monitoring precision is improved, efficient carbon layer division is achieved, and the overall operation efficiency is improved.

The application discloses a kind of amusement equipment riding passenger carrying device anti-falling control method, applied to the lifting machine of lifting riding passenger carrying device, comprising the following steps: step one, at the front and rear ends of entrance track respectively sensor 2 and sensor 1 are set to be divided into area 1, sensor 4 and sensor 3 are set at the front and rear sides of lifting platform and divided into area 2, sensor 5 is set at the position of a certain distance between exit slide and conveying frame and divided into area 3;Step two, the signal of sensor 1 to sensor 5 is received in real time to identify the position of riding passenger carrying device, and control the lifting machine to smoothly complete the lifting and anti-falling of riding passenger carrying device.The amusement equipment riding passenger carrying device anti-falling control method of the application, by the setting of step one to step two, can effectively realize the current riding passenger carrying device state by dividing area in real time, and then realize safe lifting.

The invention discloses a spatial domain identification method and system based on tissue adjacent slices, and belongs to the technical field of information processing. Spatial transcriptome data of adjacent slices from the same tissue are modeled into undirected graphs; measuring the similarity between different graphs by using a Gromov-Wasserstein distance to obtain an optimal mapping pair, and integrating the information of the optimal mapping pair together; and inputting the integrated data into a trained graph attention auto-encoder, and clustering encoded features by using a clustering algorithm so as to identify a spatial domain. According to the invention, data of adjacent slices can be effectively processed, and the problem of limitation of single slice data in the prior art is overcome; according to the invention, information of adjacent slices can be integrated, and more complete data input is provided, so that a more accurate spatial domain is identified.

The invention provides clothes processing equipment, a control method, a storage medium and a program product, after a control device of the clothes processing equipment obtains at least one piece of washing demand information, washing parameters of a first washing task of the clothes processing equipment are adjusted according to the at least one piece of washing demand information to obtain a second washing task, due to the fact that the control device can actively adjust the washing parameters according to the washing demand information, a user of the clothes processing equipment does not need to excessively adjust the washing parameters, and the intelligent degree and the use experience of the clothes processing equipment are improved.

The invention belongs to the technical field of ecological risk identification, and particularly relates to a typical karst geology high background area ecological risk rapid identification method based on soil geochemical data, and the method comprises the following steps: S1, determining indexes affecting the biological activity of heavy metals such as Cd according to the chemical composition of secondary enriched minerals in soil; s2, determining an index critical value of soil secondary enrichment mineral formation according to the indexes screened out in S1; s3, on the basis of GB 15618-2018, establishing an ecological risk rapid identification method in combination with the index critical value determined in S2; and S4, selecting soil geochemical data of a typical karst geology high background area, and verifying the rapid ecological risk identification method. According to the method, the ecological risk of the karst geology high background area can be rapidly and effectively divided through area soil geochemical data, the accuracy degree of the method is far higher than that of a division method only according to the Soil Environment Quality Agricultural Land Soil Pollution Risk Management and Control Standard (GB 15618-2018), and the method has good market application prospects.

The application provides a method and system for dividing tumor perfusion sub-regions based on dynamic ultrasound contrast data, the method comprising obtaining pre-processed dynamic ultrasound contrast images and pixelizing, so as to obtain time-intensity curves of each pixel point of tumor tissue and average time-intensity curves of normal tissue, obtain perfusion characteristic parameter ratios of each pixel point of tumor tissue, generate perfusion sub-regions of the tumor through clustering results of clustering of all pixel points in the interval, and map information thereof back to the original image. The application maximizes the use of dynamic image data through a non-invasive diagnostic method, comprehensively captures perfusion characteristics of the tumor from the pixel level, visualizes and quantifies tumor perfusion heterogeneity, improves the readability of the dynamic contrast video, helps to explore the correlation between tumor sub-regions and benignity and malignancy and construct a diagnostic model accordingly, improves the diagnostic accuracy of breast cancer, and provides more information support for personalized treatment of patients.

The invention discloses a space-time trajectory data driven virus transmission tracing method and system. The method comprises the following steps: firstly, cleaning and preprocessing an obtained patient space-time trajectory data set; then, based on the risk area grading system and the infection theory, a set propagation chain conforming to the infection theory is constructed for the high-risk province; then coding the preprocessed patient space-time trajectory data into patient features by using a suitable coding mode; training a traceability model for high-risk provinces based on the constructed set propagation chain and the encoded patient features; and finally, applying the trained high-risk province traceability model to related high-risk provinces based on a knowledge migration mode, and performing a propagation chain construction task. The virus propagation chain constructed by the method disclosed by the invention has the characteristics of expandability in data volume, diversity in propagation mode and high conformity with the real situation.

The utility model relates to the technical field of vehicle equipment, and provides an instrument desk structure of a passenger car, which comprises a main instrument desk and an auxiliary instrument desk, the main instrument desk is arranged on the front side of a driver's seat, and the auxiliary instrument desk is connected with the main instrument desk to form a semi-surrounding structure for the driver's seat; the auxiliary instrument desk comprises a first cabinet body and a second cabinet body, the table top of the first cabinet body and the table top of the second cabinet body are distributed in a stepped mode, the table top of the first cabinet body is a first installation face, the table top of the second cabinet body is a second installation face, and a coin box is arranged on the first cabinet body. The main instrument desk body and the auxiliary instrument desk body are arranged, the auxiliary instrument desk body is further divided into the first cabinet body and the second cabinet body to serve as different function partitions, the desk faces of the first cabinet body and the second cabinet body are fully utilized to serve as mounting faces for mounting electronic devices, the structure is simple, space can be effectively divided, and the space utilization rate is increased; functionality of the instrument desk is enhanced, and the problems that an existing instrument desk is complex in shape and insufficient in space utilization are solved.

The utility model discloses a wire bridge for electrical automation, which relates to the technical field of wire bridges and comprises a bridge body and a cover plate, and a flat cable structure is arranged in the bridge body. The wire arranging structure comprises a partition plate, the partition plate is fixedly installed at the top end of the interior of the frame body, clamping grooves are formed in the interior of the frame body and one side of the partition plate, clamping plates are rotatably installed at the bottom ends of the clamping grooves, and a plurality of limiting plates are fixedly installed in the interior of the frame body and the other side of the partition plate. According to the electric wire bridge for electrical automation, electric wires can be installed conveniently, the electric wires are arranged during installation, so that the space in the bridge can be effectively divided, the electric wires are prevented from being wound together, and the problems that the electric wires are scattered and wound in a traditional electric wire bridge for electrical automation, use of cables is affected, and the service life of the cables is prolonged are solved. The heat dissipation effect is poor due to mutual contact of the cables, the installation of the cables is troublesome, and only wires can pass through the cables.

The invention relates to a coal mine area coal seam metamorphism type and combination analysis method, and belongs to the technical field of gas monitoring. The method comprises the following steps of carding coal rank distribution characteristics of a coal mine area or a mine; judging a deep metamorphic action type, and determining whether other metamorphic action types exist except the deep metamorphic action type; and further judging whether a magma deterioration effect, a hot liquid and hot water deterioration effect and a dynamic deterioration effect exist or not on the basis of the deep deterioration effect type, and judging whether the dynamic deterioration effect still exists or not. According to the method, comprehensive and effective prediction of the coal mine area or mine coal seam gas occurrence rule and the coal and gas outburst danger, comprehensive and effective evaluation of the outburst danger degree, comprehensive and effective division of the outburst danger area and effective taking of outburst prevention measures based on outburst danger main control factors are achieved from the source.

The invention discloses a multi-region package management system based on intelligent book logistics, and relates to the field of intelligent book package management, and the system comprises an order information obtaining module, a route analysis module, a transportation queue analysis module and a package analysis module. And comprehensively analyzing the remaining packaging time and the logistics transportation route corresponding to each book order to obtain each effective sub-transportation queue corresponding to each logistics transportation route, so that effective division of the book orders is realized, the accuracy of book logistics management corresponding to the target logistics warehouse is improved, and the user experience is improved. According to the method, the book types corresponding to the book orders are comprehensively analyzed, and the books are spliced and packed into pieces according to the greedy algorithm, so that the number of packing pieces is reduced as much as possible on the basis that one packing piece corresponds to one type of books, the packing efficiency is remarkably improved, and the packing cost is saved.