182results about How to "Avoid duplication" patented technology

The invention relates to the technical field of tobacco plant identification and counting, and discloses an unmanned aerial vehicle tobacco plant identification and counting method and system based on improved deep learning, which combines technologies of image classification, image segmentation, feature point extraction, machine learning, target detection and the like with refined intelligent identification of tobacco. According to the method, high-precision image recognition and analysis are realized by utilizing the efficient feature extraction and calculation capability of the method, point plant counting can be accurately performed, the efficiency and precision of agricultural production are greatly improved, the problem of calculation complexity of a traditional method in large-scale high-resolution image processing is solved, and powerful technical support is provided for precision agriculture. Therefore, the invention provides an unmanned aerial vehicle tobacco plant identification and counting method based on improved deep learning target detection and multi-dimensional post-processing, and high-precision and robust detection and counting of tobacco plants in large-scale tobacco field orthoimages are realized by constructing a three-stage assembly line of image preprocessing, improved target detection and multi-dimensional post-processing.

This invention relates to the field of automated warehousing technology and discloses an automated storage and retrieval system (AS / RS) based on a heavy-duty stacking robot. A material storage area is located on one side of the material entry / exit area, and a preparation and charging area is located on the other side. An import / export docking area is located inside the material entry / exit area, and a lifting and transferring machine is also included within the import / export docking area. An automated storage and retrieval system with a three-dimensional racking mechanism is located inside the material storage area. This AS / RS based on a heavy-duty stacking robot, through its modular architecture and intelligent collaborative design, effectively solves the problems of low space utilization, high cost, and poor flexibility in traditional AS / RS. It achieves precise and efficient handling of heavy-duty goods, eliminates the need for dedicated tracks, reduces modification costs, and significantly improves the overall automation level, space utilization, and operational stability of warehousing operations. It caters to both new construction and renovation needs, providing enterprises with a low-cost, highly adaptable heavy-duty warehousing solution.

The application relates to a traditional Chinese medicine constitution identification method based on Al tongue surface image analysis, and the method comprises the following steps: collecting tongue surface information and inquiry information of a user, and identifying and obtaining tongue surface joint features; collecting time sequence data of the user, calculating time sequence mutual information, combining constitution theory knowledge constraints, grading determining the correlation level and weight of the tongue surface joint features and each constitution, and constructing a dynamic weight mapping relationship; performing weighted accumulation calculation on the tongue surface joint features combined with the inquiry information to obtain original scores of each constitution; constructing a constitution correlation knowledge base, quantifying conflict values between each constitution based on a light AI constitution correlation classification model, eliminating conflict constitutions through Bayesian probability fusion, obtaining calibrated constitution scores, and performing constitution determination. The application realizes objective constitution quantification under multi-dimensional feature fusion, constructs a weight mapping system graded according to the correlation closeness, significantly improves the accuracy of constitution identification, and effectively avoids invalid calculation and repeated elimination in constitution identification.

This invention relates to the field of peripheral control technology, specifically to a multi-chip addressing control method, electronic devices, storage media, and program products. The method includes: receiving a control request and generating a command packet containing a source address, a target address, and command data; splitting the command packet and sending it to different target chips under a synchronous control request, and sending the command packet according to the target address under an asynchronous control request; forwarding the command to the master control chip when the slave chip lacks execution capability; executing the command packet when both the master and slave chips receive the same command data; receiving a response packet and determining the responding chip based on the source address, and outputting the control result. This invention enables directional control, collaborative execution, and response differentiation in multi-chip peripherals.

This invention discloses a request processing method, apparatus, device, and storage medium, comprising: when the matching result is determined to be a matching failure, inferring the user request using a synchronous direct transmission mode through the target instance to obtain a first key-value cache, and determining the storage method of the first key-value cache based on its cost; when the matching result is determined to be a match with the target key-value cache, inferring the user request using a prefetch incremental mode through the target instance to obtain a second key-value cache, and directly saving the second key-value cache to a storage center. In the synchronous direct transmission mode, the cost of the key-value cache obtained through user request inference is calculated, and key-value caches that meet the cost requirements are saved to the storage center, avoiding invalid space occupation in the storage center and improving the inference efficiency of subsequent user requests. In the prefetch incremental mode, when a key-value cache hit meets the cost requirements, it is directly used to improve inference efficiency and avoid redundant calculations and waste of computing resources.

The application relates to a permanent and temporary combined loop pipe roof underground excavation construction subway station tunnel arch opening reinforcing structure and a construction method, and belongs to the underground space construction technical field. The structure comprises a temporary support structure and a permanent support structure. The temporary support structure comprises pipe roof lining arranged on the lower sides of loop pipe roofs near the opening area on both sides, and door-shaped support steel frames are arranged under the pipe roof lining and fixed to the bottom of the tunnel. The permanent support structure comprises a loop reinforcing beam, a longitudinal reinforcing beam and pipe roof anchor bars. The longitudinal reinforcing beam is arranged along the cross sections of the loop pipe roofs on both sides of the opening area. One end of the pipe roof anchor bar is implanted into the cross section of the loop pipe roof, and the other end is implanted into the longitudinal reinforcing beam. Loop reinforcing beams are arranged under the two ends of the longitudinal reinforcing beam. The loop reinforcing beam is fixed to the loop pipe roof in the non-opening area through loop reinforcing beam anchor bars. The temporary support structure and the permanent support structure are combined, the tunnel arch structure can be reinforced under the condition of a large opening, a new stable stress system can be formed after the loop pipe roof is partially cut off, and the safety of the tunnel construction is ensured.

This invention discloses an automated operation and maintenance method, system, device, and medium for new electricity meters in a distribution network. The method includes: responding to a new meter association request uploaded by a metering terminal to verify if the new meter address exists in a preset metering archive; if not, creating a temporary file for the new meter and issuing a topology identification command to the metering terminal; receiving characteristic current analysis results and new meter data from the metering terminal; updating the temporary file based on the characteristic current analysis results, branches, phases, and new meter data, and synchronizing the updated temporary file to the marketing master station; receiving the operation and maintenance handheld device verification results forwarded by the marketing master station; if the verification passes, instructing the marketing master station to convert the temporary file into a formal marketing file, and instructing the metering terminal to write the formal marketing file into the new meter to achieve operation and maintenance. Therefore, this application can achieve efficient, accurate, and automated operation and maintenance management after the installation of new meters.

The utility model discloses a medicine dispensing cart which comprises a cart body, a code scanning module and at least one medicine storage drawer are arranged on the cart body, safety lock devices are fixed in the medicine storage drawers and used for preventing the medicine storage drawers from being opened accidentally, and the code scanning module is used for receiving and processing two-dimensional code information. The utility model has the advantages that the medicine can be prevented from being taken mistakenly, one patient and one prescription can be used once, and the medicine is prevented from being taken mistakenly, abused or reused.

The application provides an ultrasound-guided puncture method and system, relates to a data processing technology, and achieves accurate positioning during venous puncture under ultrasound guidance by constructing a part model corresponding to a puncture part, determining a partition scanning line of the part model, controlling an ultrasound device to perform segmented scanning on the puncture part based on the partition scanning line, obtaining a segmented scanning image, determining a segmented scanning image meeting a puncture condition as a sub-adaptive image, performing splicing processing on adjacent sub-adaptive images to obtain a spliced puncture image, performing venous shape judgment on the spliced puncture image to obtain a candidate puncture image, performing optimal selection on the candidate puncture image to obtain a puncture guide image, and determining a puncture point of a punctured vein in the puncture guide image based on a centripetal direction.

The upward suction type paging machine comprises a material placing table, a material suction mechanism and a conveying mechanism, a plurality of material blocking pieces are arranged on the surface of the material placing table, and a limiting space used for placing materials is defined by all material placing pieces; the suction mechanism comprises a rack, a supporting plate, a connecting strip, a mounting frame and a plurality of suction nozzles, the rack is located at the discharging end of the discharging table, the supporting plate is mounted on the rack, slideways connected end to end are formed in the surface of the supporting plate in the circumferential direction, the mounting frame is mounted at the end, close to the discharging table, of the connecting strip, and all the suction nozzles are mounted on the mounting frame; the connecting strip extends in the first direction and can move relative to the supporting plate along the track of the sliding way so as to drive the suction nozzle to convey sucked materials forwards; the conveying mechanism is arranged at the discharging end of the discharging table, and the rack is erected on the conveying face of the conveying mechanism. The automatic paging device is simple in structure and high in automation degree, compared with a traditional paging mode of a paging device and a friction belt, the phenomenon of overlapping can be effectively avoided, and the good paging effect is achieved.

The application relates to the field of artificial intelligence and power equipment operation and maintenance data processing technology, and particularly discloses a power energy storage operation and maintenance health evaluation method based on deep learning, which comprises the following steps: a pre-processing unit first performs caliber unification according to a historical caliber change set and extracts single data in real time, eliminates equipment differences, makes the algorithm identify only one set of caliber, and reduces special cases and error sources; an edge gateway performs clock consistency test, aligns the time axis, and avoids wrong time misjudgment; if the test fails, the data is improved and data reliability is output, and the caliber change set is rewritten and corrected; then, the data and the reliability are sent to a model to perform health evaluation and physical consistency verification, and the correlation is improved to be explainable physical reliability; finally, the evaluation result is mapped to a standardized operation and maintenance disposal suggestion, and the operation and maintenance plan is synchronized to a platform; the standardized action and plan are synchronized to realize a closed loop of diagnosis, disposal and recovery, and the whole process is auditable and reproducible.

This invention relates to the field of container loading optimization technology, and particularly to a container loading optimization method and system considering palletizing. The method includes setting container information, palletizing constraints, and cargo information; generating available pallet sizes and corresponding stack shapes; eliminating stack shapes with bottom coverage below a threshold; using the selected stack shapes to form transverse pallets that meet preset requirements; establishing a mathematical model and solving it using integer programming to obtain an initial loading scheme; performing mixed pallet loading on the remaining container space and remaining cargo, ensuring that the mixed pallet loading meets the requirements of full pallet coverage and full support; generating the mixed pallet loading result and a three-dimensional visualization model. This invention incorporates the entire palletizing-related calculation process into the optimization algorithm to solve the technical problems of cumbersome, inefficient, inaccurate, poor space utilization, and high labor costs in existing container loading calculation processes.

The invention relates to a multi-agent collaborative sensing method based on spatio-temporal joint selection. The method comprises the following steps: acquiring original sensing data of a plurality of agents; constructing a spatial sparse region selection mask; generating a joint sparse feature map; sparse features of the intelligent agent are obtained; obtaining a fused feature map; and carrying out intermediate-stage three-dimensional target detection, and carrying out later-stage fusion on the intermediate-stage three-dimensional target detection and an independent detection result of the collaborative agent to obtain a final collaborative perception detection result. According to the method, the space sparse region is constructed to select the mask, so that the relatively high sensing performance can still be kept in a scene with extremely limited bandwidth; the communication burden is reduced, the transmission content is more focused on a dynamic target which really contributes to collaborative perception, and the information utilization rate is improved; the detection precision is improved by using multi-view complementary information, the missed detection and false detection risks caused by time delay or shielding in intermediate fusion are reduced through a later compensation mechanism, and finally a more accurate and more complete 3D target detection result is obtained.

The invention discloses a serial number distribution method and device, equipment and a storage medium, and relates to the technical field of big data. The method comprises the following steps: responding to a serial number acquisition request of a request end, applying for a number segment from a pre-configured serial number database according to the serial number acquisition request, and storing the applied number segment into a main number segment cache region; if it is determined that the main number segment cache region meets a cache region replacement condition according to the serial number consumption rate of the main number segment cache region, asynchronously starting a standby number segment cache region; if it is determined that the serial number use condition meets a switching condition according to the serial number use condition of the main number segment cache region, switching the standby number segment cache region to the main number segment cache region; and distributing a serial number for the request end in the main number segment cache region by adopting an atomic incremental operation. According to the scheme, the serial number is distributed to the request end by asynchronously preloading the new number segment and switching the cache region, so that the continuity and availability of serial number distribution are improved.

The invention discloses a color-developable waterborne polyurethane dust suppressant and a preparation method thereof, and belongs to the technical field of dust suppressant preparation, the color-developable waterborne polyurethane dust suppressant comprises the following components by weight: 5-20 parts of waterborne polyurethane, 1-10 parts of latex powder, 0.5-5 parts of organic wax, 0.5-5 parts of color paste, 0.5-3 parts of paper pulp, 0.5-3 parts of a thickener, 0.1-0.5 part of an auxiliary agent, 5-10 parts of a film forming auxiliary agent, and 70-90 parts of water. According to the dust suppressant, waterborne polyurethane serves as a film forming substance and can be combined with coal particles to form a film layer of 1 mm-2 mm, a formed cured film is high in strength, good in toughness and high in adhesive force, pulverized coal particles can be effectively isolated, wind and rain erosion can be resisted, the dust suppression period is long, certain hydrophobicity is achieved, the dust suppressant is not prone to being washed away, the service life is greatly prolonged, and the dust suppressant is suitable for being popularized and used. And the dust suppressant takes water as a dispersion medium, the VOC content is extremely low, the selected coloring agent is environment-friendly, no pollution is caused to soil and underground water, and the development direction of green chemistry is met.

The invention discloses a parallel flow channel heat exchanger flow distribution simulation method based on a general flow resistance model. The method comprises the following steps: 1, a single-channel general flow resistance model construction stage: creating a general flow resistance model; carrying out single-channel fine modeling and simulation; acquiring pressure drop-flow velocity data; fitting to determine a flow resistance coefficient; 2, a whole machine flow distribution simulation stage: constructing a whole machine simulation model: establishing a three-dimensional geometric model of a macroscopic flow channel system of a target heat exchanger, performing grid division to obtain a macroscopic flow channel CFD model, abstracting all parallel micro-channels of a core heat exchange section of the target heat exchanger into a parallel flow resistance network consisting of a large number of flow resistance elements, each flow resistance element is endowed with a universal flow resistance model which is determined in the first stage and has a specific flow resistance coefficient; coupling solution is carried out, an iteration process is established, the error between the driving pressure difference of each flow resistance element and the pressure drop calculated according to the general flow resistance model is smaller than a preset threshold value, and iteration convergence is carried out; and outputting a flow distribution result of all parallel flow channels of the whole target heat exchanger.

The application relates to a shock absorber road load acquisition method, an analysis method and system and a storage medium, which comprise the following steps: determining hard points connected with other components in a shock absorber assembly in a suspension design state; establishing a shock absorber assembly dynamics model, and establishing a local load coordinate system of each hard point related to the dynamic load of a shock absorber piston rod on the shock absorber piston rod; establishing a local load coordinate system of each hard point related to the dynamic load of a shock absorber cylinder on the shock absorber cylinder; setting displacement output between an upper point of the shock absorber piston rod and a lower fixed center point of the shock absorber, force and torque output borne by the shock absorber piston rod, and force and torque output borne by the shock absorber cylinder; establishing a whole vehicle multi-body dynamics model; and simulating the response of each system of the vehicle under various virtual road surface excitations. The application can truly simulate the change condition of the shock absorber road load.

The embodiment of the specification discloses a data aggregation method, device and medium for industry identification data, the method comprising: receiving a plurality of industry identification data and a data aggregation request for the plurality of industry identification data, wherein the industry identification data comprises node identification, identification registration data and identification analysis data of the industry identification data; generating a plurality of data aggregation sub-tasks according to the data aggregation request, judging whether there is a dependency relationship between the plurality of data aggregation sub-tasks; if it is determined that there is a dependency relationship between the plurality of data aggregation sub-tasks, generating an operation relationship between the data aggregation sub-tasks according to the dependency relationship between the data aggregation sub-tasks; aggregating the industry identification data to be aggregated in the plurality of data aggregation sub-tasks to generate aggregation sub-data corresponding to the plurality of data aggregation sub-tasks; and according to the operation relationship between the plurality of data aggregation sub-tasks, operating each aggregation sub-data to obtain aggregation data corresponding to the plurality of industry identification data.

The application discloses a kind of marine ecosystem full-chain accounting methods for account-oriented collection, comprising: identifying the asset type of marine ecosystem in accounting area, obtaining spatial distribution and area information, generating asset directory list;According to the asset directory list, marine ecological products are classified;The area data of each asset is imported into the physical quantity accounting account;Based on the value evaluation model, the value in the physical quantity accounting account is converted into the value of the base year constant price measurement, and the value of each type of marine ecological product is calculated respectively;Establish a digital accounting account, the digital accounting account includes the physical quantity accounting account and the value accounting account, and the mapping association between them;According to the preset administrative path or asset path, the value in the value accounting account is aggregated to generate the total value of marine ecosystem assets.The present application provides reliable technical support for marine ecological management and value conversion.

This invention relates to an auxiliary drilling and production device for oilfields, belonging to the technical field of oilfield drilling equipment. It includes: a rotary table module equipped with several sets of casing clamping modules; a casing bin on one side of the rotary table module, containing several casing conveying modules into which casing can be clamped. A clamping tower on one side of the rotary table module connects to and clamps casing from the clamping modules. The clamping modules can extend into the casing bin and clamp the casing clamped on the casing conveying modules. The clamping modules retrieve casing from the casing bin and transport it to the clamping tower for precise clamping and positioning, achieving alignment between the casing and the wellhead, improving accuracy and reducing labor intensity. The casing bin pre-stores multiple casings, which are supplied in an orderly manner by the casing conveying modules. The rotary table module is equipped with multiple clamping modules, enabling continuous gripping and transport of casing for installation. Casing supply and installation preparation can be carried out in parallel, ensuring continuity and thus improving installation efficiency.

The utility model provides three operating system detection data processing equipment, including the casing cover and the power module, network switch module, three main control system modules, three hard disk extension modules and three communication extension modules that are all arranged in casing cover, the casing cover has the backboard for power distribution and data interaction between each module, and the power module, network switch module, each main control system module, each hard disk extension module and each communication extension module all take this backboard as the basic connection carrier, the power module is connected network switch module, each main control system module, each hard disk extension module and each communication extension module through the backplate, network switch module is connected with each main control system module through the backplate, and each main control system module is connected with a hard disk extension module and a communication extension module respectively through the backplate, and the multi -source data parallel processing is realized through the construction three operating system framework, and the space burden and power consumption burden of the application scene such as railway detection vehicle are reduced.

The utility model relates to a kind of forming die of oxygen cylinder shell, including respectively front and rear arrangement and mutually cooperate's mobile module and positioning module, fixed in the feed plate of mobile module front side, fixed in the bottom plate of positioning module rear side, and fixed in the forming module of positioning module front side;Two upper and lower symmetrical distribution's pinhole forming units are further equipped between mobile module and positioning module, pinhole forming unit includes movablely connected in the front side of positioning module to have left and right translation function and located the driving slider of forming module left side, multiple transverse fixed on the core rod of driving slider towards the outer wall on one side of forming module, fixed on the outer wall on the left side of positioning module oil cylinder, and embedded in the rear side inside of mobile module and with each core rod mutually cooperate's ear block;The utility model has simplified production step to improve production efficiency;In addition, the machining precision of pinhole is also ensured.

The application discloses a kind of photovoltaic panel intelligent cleaning trolley stain identification and accurate cleaning method, belong to photovoltaic operation and maintenance technical field, including cleaning trolley initialization and moves to photovoltaic panel starting detection position, completes attitude calibration and detection system preheating, the present application is by fusing multispectral image acquisition, deep learning identification model and self-adapting cleaning control strategy, constructs a set of set stain identification, classification determination, path planning and accurate cleaning in one integrated intelligent cleaning method, realizes the high-precision identification of photovoltaic panel surface stain and differentiates accurate processing, significantly improves cleaning effect and energy utilization efficiency;Stain is divided into mild, moderate, severe three grades, which provides a scientific basis for subsequent differentiated cleaning;Overall identification process is fast, stable, supports real-time processing, which greatly improves the intelligent decision-making ability of cleaning system.

The invention discloses a cross-platform link library communication method and device based on an optimized WebAPI, equipment and a medium, and relates to the technical field of computer communication, and a client application program initiates a data request by calling a cross-platform link library. And the cross-platform link library serializes the parameters of the data request and transmits the serialized parameters to the data interface layer. And the data interface layer encapsulates the data request after parameter serialization into a binary request through the gRPC client and the lightweight SignalR client according to an application scene, and transmits the binary request to the intelligent integrated data platform. And the intelligent integrated data platform concurrently accesses a plurality of databases of the storage layer according to the binary request, encapsulates an obtained result into binary response data, and returns the binary response data to the data interface layer through a communication protocol. And the data interface layer deserializes the binary response data into response data and transmits the response data to a client application program, so that efficient interface communication with low delay, high throughput and less resource occupation is realized in a multi-language environment.

The application discloses a kind of weakly supervised image semantic understanding methods based on multi-task learning, comprising the following steps: obtaining task missing image, constructing multi-level task sharing encoder, extracting high-level semantic information layer by layer, input corresponding decoder branch;Construct public space-task space feature mapping module, through the unaligned task fusion module and task interaction mapping module, update each subtask feature by mapping;Task adaptive feature update module is constructed, and multi-level iterative update unaligned task feature;Task adaptive weakly supervised image semantic understanding framework is constructed, model loss function is established, image data with task missing is input into model, and obtains multi-task prediction result such as semantic segmentation, depth estimation, surface normal estimation.The application is according to the data information of task label unaligned, through the mapping interaction of public space and task space, fully fuses unaligned task feature, iteratively generates high-quality multi-task prediction result, can effectively handle weakly supervised problem with task missing, and simultaneously improves each task prediction accuracy.

A grinding device suitable for a meat grinder comprises a material bowl, a blade assembly and a bowl cover assembly. The blade assembly is located in the material bowl, and the bowl cover assembly covers the material bowl. The bowl cover assembly is provided with an acceleration gear set, an input shaft of the acceleration gear set upwards extends out of the bowl cover assembly, an output shaft of the acceleration gear set extends out of the bowl cover assembly, and the output shaft of the acceleration gear set is assembled with the blade assembly in a transmission mode. According to the scheme, the speed increasing mechanism is additionally arranged in the grinding device, and low-rotating-speed and high-torque output of the meat grinder is converted into high-rotating-speed and low-torque output needed by grinding, so that the meat grinder can achieve the grinding function under the condition that an additional motor is not added.

This application discloses a management method, apparatus, equipment, medium, and product for event organization, relating to the field of data processing technology. The method includes acquiring event organization request information sent by a current organization; wherein the event organization request information includes at least the name of the current organization, the event type, and event request information; acquiring multiple candidate event organizations from an event resource pool; determining matching data for each candidate event organization based on the event type and the event request information; determining a target event organization matching the current organization from the multiple candidate event organizations based on the matching data; and determining an event organization scheme associated between the current organization and the target event organization based on the event organization request information. This application can improve the efficiency of event organization.

This invention discloses a method for encoding structured light patterns, a structured light projection module, and a three-dimensional measurement system, belonging to the field of optical measurement. Addressing the problem of fixed and inaccurate structured light encoding units in existing methods, this invention provides a method for encoding structured light patterns. The method divides the structured light pattern into multiple types of grid units, forming a grid encoding group with a predetermined number of consecutively arranged grid units. The grid encoding group is encoded based on the type of each grid unit, ensuring that each grid encoding group has a unique and non-repeating code. The code of the grid encoding group maps to its spatial position within the structured light pattern. Decoding includes acquiring the structured light pattern, determining the type of each grid unit, and matching the grid encoding group with the encoding set to obtain its position. This invention achieves flexible, high-density, and highly occlusion-resistant absolute position encoding by uniquely and non-repeating grid encoding groups composed of multiple consecutive grid units, making it suitable for high-precision three-dimensional measurement.

The embodiment of the application provides a text labeling method, system and storage medium, comprising: obtaining a syntax rule set; dividing syntax rules in the syntax rule set into a first rule subset and a second rule subset; obtaining a Chinese text to be labeled; performing sentence division processing on the Chinese text to be labeled to obtain a sentence set; performing word segmentation processing on each initial sentence in the sentence set to obtain a corresponding word set; traversing the syntax rule set, when the word set corresponding to a sentence matches a first verification condition of any syntax rule, generating a candidate syntax set; performing structure verification based on a second verification condition of a syntax candidate to obtain a screening set; when the syntax candidates in the screening set belong to the same rule subset and there is a preset mutual exclusion relationship between the syntax candidates, performing decision verification based on a decision condition corresponding to the rule subset to which the syntax candidate belongs to generate an actual syntax set; and performing syntax labeling on the Chinese text to be labeled based on the actual syntax set.