13results about How to "Raise the bar" patented technology

The application relates to the technical field of data analysis and intelligent marketing, and particularly discloses a market trend prediction and precision marketing system based on deep learning. The system comprises a data interface module, an interlocking collaborative analysis engine and a strategy generation module. The interlocking collaborative analysis engine sequentially performs market trend prediction and user behavior analysis, and through a two-way coupling feedback step, converts the market prediction result into an adjustment signal for a user interest model, and feeds the emerging pattern identified in the user behavior to the market prediction model as a correction input; and then updates the two models based on the coupled new data, to realize collaborative evolution. The strategy generation module generates marketing instructions under resource constraints according to the collaborative analysis result. The application realizes the deep integration and co-evolution of market trends and user preferences by forcibly establishing and continuously optimizing a two-way interaction channel between macro prediction and micro analysis, so that the foresight, precision and self-adaptive ability of the marketing strategy are improved.

The utility model discloses a heating device convenient for flavor sensory evaluation. The heating device comprises a heating plate and a milk cup arranged on the heating plate, the milk cup comprises a cup body and a cup cover, a stirring rod is rotationally arranged on the cup cover through a driving device, the stirring rod extends into the cup body, a tasting opening is formed in the cup cover, and a smelling cover communicated with the cup body is further fixedly arranged on the cup cover. A temperature sensor is fixedly arranged on the stirring rod, and a temperature display screen is fixedly arranged on the outer wall of the cup body or the cup cover. According to the utility model, the heating uniformity of milk can be improved, local charring is prevented, the inspection accuracy is improved, constant-temperature tasting is realized, the inspection standard degree is improved, and the milk sample sensory inspection device is suitable for sensory inspection of milk samples.

This application provides an adaptive blockchain notarization method, system, blockchain gateway device, and computer program product for IoT data. The main components include: receiving raw data transmitted from IoT devices; calculating the notarization value score of the raw data based on at least two of the following: risk deviation index, event scarcity index, device reputation weight index, and service interruption indication index; periodically acquiring the operating status parameters of the blockchain network and calculating the current congestion index based on the operating status parameters; calculating a rapid notarization threshold and an aggregated notarization threshold based on the current congestion index; and performing the following diversion processing on the raw data according to the relationship between the notarization value score and the rapid notarization threshold and the aggregated notarization threshold, respectively, to complete the notarization of data transmitted by IoT devices, achieving adaptive resource optimization and timely protection of critical data.

This invention relates to a method for managing the weight of goods in multimodal transport, comprising the following steps: (1) a courier company branch collects express packages and transports them to the courier company's city transit station; (2) the courier company's city transit station selects express packages to be delivered for multimodal transport, weighs the packages using intelligent weighing equipment, checks whether the weight and cost are consistent while scanning the package tracking number, and then records it to the blockchain; and divides the packages according to the transport city, recording the tracking number of each package to the blockchain; (3) the courier company transports the multimodal transport goods to the multimodal transport consignment point and hands them over to the multimodal transport carrier; (4) the multimodal transport entity delivers the goods to the courier company in the target city; (5) the weight of the transported goods is recorded; (6) offline error analysis is performed, and records with an absolute error value greater than 5% are analyzed monthly. The advantage of this invention is that it proposes a weight management method based on a game-theoretic mechanism in multimodal transport to strengthen the fair and trustworthy mechanism outside the system.

The invention relates to the technical field of medical instruments and equipment, and discloses a scoliosis measuring device which comprises a bin body, a comfort mechanism is arranged in the bin body, a measuring mechanism is fixedly connected to the top end in the bin body and used for scanning and measuring the spine of a patient, and a pressurizing mechanism is arranged on one side of the exterior of the bin body and used for pressurizing the spine of the patient. A pressurizing mechanism is arranged at the top of the bin body, a disinfection mechanism is arranged in the bin body, the pressurizing mechanism is used for increasing the pressure in the disinfection mechanism, the disinfection mechanism is used for disinfecting the interior of the bin body, and a pressure relief mechanism is arranged at the top of the disinfection mechanism and used for relieving too high pressure in the disinfection mechanism. The hydraulic cylinder drives the rotating top plate to rotate to be opened or closed, an independent space can be formed, so that the privacy of a patient can be protected, the comfort mechanism is attached to the back of the patient, the scoliosis measurement accuracy is improved, meanwhile, the comfort of the patient during measurement can be improved, and the comfort of the equipment is improved.

The utility model provides an airing assembly and a clothes airing machine, and relates to the technical field of intelligent home equipment. The airing assembly comprises a shell, a rolling piece, a screwing piece and an airing piece. The rolling piece is located in the shell and comprises a rolling shaft, a first shaft sleeve, a second shaft sleeve, a coil spring and a supporting rod. The two ends of the reel are movably connected with the shell through a first shaft sleeve and a second shaft sleeve respectively. One end of the coil spring is fixed through the first end of the supporting rod, and the other end of the coil spring is fixed through the second shaft sleeve; the screwing piece is located at the end of the shell, and the second end of the supporting rod penetrates through the second shaft sleeve and then is fixedly connected with the screwing piece. The airing piece comprises an airing part which is folded and stored through a reel. According to the embodiment of the invention, the rolling and storage tightness degree of the airing part can be adjusted through the screwing piece, the production efficiency of the airing assembly can be improved, and adjustment can be conveniently carried out according to individual requirements.

The invention discloses spring assembling equipment for a high-speed rail brake pad. The spring assembling equipment comprises a pair of conveying modules, a spring assembling module and a driving module. The pair of conveying modules are arranged in parallel and convey the high-speed rail brake pads alternately. The spring assembling module outputs a spring and assembles the spring on a high-speed rail brake pad; the driving module is arranged above the pair of conveying modules, the output end of the driving module is connected with the spring assembling module, and the driving module drives the spring assembling module to move back and forth between the pair of conveying modules. According to the spring assembling machine, automatic assembling of the special-shaped spring can be achieved, labor occupation of the spring assembling procedure is greatly reduced, the labor intensity of workers is reduced, the standard degree of spring assembling is improved, and the product productivity is rapidly improved.

The invention provides a large model application method, device and system based on semantic space conversion, belongs to the technical field of large models, and is used for solving the problem that in the related technology, the cost of obtaining user data assets by a large model operator is low. In the training process or the using process, interaction between the user and the large model can be achieved through the semantic conversion model, the user works in the first semantic space, the large model works in the second semantic space, and the first semantic space and the second semantic space correspond to each other, so that the large model has good performance when facing a specific field and a specific task; according to the method and the system, the isolation between the user original data and the large model is realized, the user can work in a familiar semantic space, the threshold of obtaining the private data assets of the user by a large model operator is improved, and the security of the private data assets of the user is guaranteed.

The utility model discloses a single machine table for testing open-circuit voltage of a blade cell and measuring thickness of the cell, which comprises a large mounting plate, and a thickness measuring mechanism is mounted above the large mounting plate through a portal frame; a probe mechanism is mounted on the rear side of the portal frame through a supporting plate; upper-layer sliding table linear guide rails are symmetrically connected to the portion, below the portal frame, of the installation large plate through supporting frames, an upper-layer sliding table air cylinder and a lower-layer sliding table air cylinder are connected to the portion, between the two upper-layer sliding table linear guide rails, of the installation large plate, and an upper sliding table assembly is in driving connection with the upper portion of the upper-layer sliding table air cylinder. The upper sliding table assembly is in sliding fit with the upper-layer sliding table linear guide rail; lower-layer sliding table linear guide rails are connected to the positions, located on the two sides of the lower-layer sliding table air cylinder, of the large installation plate and are lower than the upper-layer sliding table linear guide rails, and a lower sliding table assembly is connected to the upper portion of the lower-layer sliding table air cylinder in a driving mode and is in sliding fit with the lower-layer sliding table linear guide rails. The device can effectively improve the detection efficiency, and is compatible with the detection of blade cells with different sizes and different pole positions.

The utility model discloses a kind of mobile phone camera devices of automatic angle adjustment, including camera module, driving mechanism, control module and power module.The driving mechanism is driven camera module by miniature stepper motor and gear set or connecting rod structure, realize the angle adjustment of pitch or rotating direction;Control module includes micro control unit and angle sensor, angle sensor real-time acquisition camera module's angle information, micro control unit is based on feedback signal and carries out closed-loop control, so that camera angle adjustment accuracy is superior to 0.5 °, deviation is less than 0.1 ° when automatically stopping.Power module is powered to control module and driving mechanism by DC-DC conversion circuit, and in standby state, enter low-power mode, system power consumption is lower than 10 μA.The device compact structure, positioning accurate, low power consumption, can be dismantled and replaced maintenance, suitable for the intelligent mobile phone terminal with automatic shooting and multi-view shooting function.

The invention provides a Hybrid CLR instruction out-of-order protection method and system, electronic equipment and a storage medium. The method comprises the following steps: acquiring a source code of a Hybrid CLR interpreter from Unity; wherein the source code comprises a byte code file; extracting a to-be-modified instruction from the byte code file, and disordering the to-be-modified instruction; replacing the to-be-modified instruction in the byte code file with the disordered to-be-modified instruction to realize disorder of the byte code file to obtain a reinforced Hybrid CLR interpreter; obtaining a dynamic link library file, and reinforcing the dynamic link library file to obtain a reinforced dynamic link library file; and executing the reinforced dynamic link library file by reinforcing the Hybrid CLR interpreter, so as to realize the disorder of the Hybrid CLR instruction.

The application discloses a kind of based on cell image morphological identification's sheep estrus monitoring system, including its features in, including sample acquisition module (100) obtains sheep vaginal epithelial cell sample and carries out dyeing treatment to cell sample;Microscopic imaging module (200) carries out optical amplification to the cell sample after dyeing and generates cell morphology image;Image processing module (300) extracts cell edge contour and quantifies morphological irregular feature;Intelligent analysis module (400) is determined by the comprehensive analysis to nuclear deviation center proportion and morphological irregular index, judges sheep estrus state.The application has beneficial effect for proposing a kind of based on cell image morphological identification's sheep estrus monitoring system, by fusing the double morphological criterion of nuclear space displacement analysis and contour geometric distortion detection, realizes the high sensitivity capture to early estrus biological marker, significantly improves the timeliness and precision of reproduction control.

The invention discloses an ultrasonic image defect segmentation method based on a memory bank-patch denoising diffusion probability model, and belongs to the field of ultrasonic nondestructive testing. The method is an ultrasonic image unsupervised automatic segmentation method which is based on a memory bank and does not need labels, a defect-free image is adopted to train an unsupervised anomaly detection model, and the trained model is used to carry out automatic defect segmentation on a defect-containing image. According to the method, the anomaly detection capability is improved through the memory bank module, automatic segmentation of ultrasonic image defects can be realized on the premise that data does not need to be labeled, and excellent segmentation performance is obtained. According to the method, the dependence on a large amount of manual annotation data can be effectively relieved, and a more accurate solution is provided for automatic segmentation of ultrasonic image defects.