57results about How to "Achieve accuracy" patented technology

The invention relates to the technical field of information management, in particular to a material digital management system and method based on a cloud platform. The method comprises the following steps: acquiring material data; distributing a material storage space by using the material data; receiving an operation message of the storage space, and pushing the operation message to an inventory database; creating a circulation record table and an inventory state table; using the operation message in the inventory database to update a circulation record table, and recording circulation data; automatically updating an inventory state table according to the circulation data so as to determine the material inventory capacity; when the material inventory capacity is lower than or equal to a preset safety inventory threshold value, management early warning information is generated; and when the material inventory capacity is higher than a preset safety inventory threshold value, updating the management safety field of the inventory state table. The material inventory is monitored in real time based on the information management technology, the replenishment information is intelligently generated, inventory dynamic management is achieved, and the material management efficiency is improved.

This invention provides a method and system for predicting vehicle speed in commercial vehicles using the E-Power architecture, relating to the field of commercial vehicle speed measurement technology. First, vehicle operating data is collected via hardwired and CAN bus lines. Second, the PCA method is used to extract features from the collected vehicle operating data, obtaining variables highly correlated with vehicle speed, which serve as input to the speed prediction model, improving computational efficiency. Finally, a speed prediction model is established based on a recursive fuzzy neural network and a multi-step prediction strategy, achieving accurate prediction of vehicle speed during operation and improving fuel economy and driving comfort.

This invention relates to an intelligent decision support system for rectal cancer prognosis integrating digital pathological images, belonging to the field of medical image processing technology. The system includes a data acquisition module for collecting multiple sets of sample data; a feature selection module for identifying multiple key medical imaging features of rectal cancer based on the multiple sets of sample data; a model building module for acquiring a pre-trained deep learning model and constructing a rectal cancer prognosis prediction model based on transfer learning, the pre-trained deep learning model, the multiple sets of sample data, and the multiple key medical imaging features of rectal cancer; an image acquisition module for acquiring pre- and post-operative medical images of the rectal cancer patient to be evaluated; and a recurrence prediction module for predicting the recurrence probability of the rectal cancer patient to be evaluated based on the pre- and post-operative medical images of the patient using the rectal cancer prognosis prediction model. This system has the advantage of improving the accuracy of non-invasive prediction of postoperative recurrence of rectal cancer.

This utility model relates to the field of stamping equipment technology, specifically to a stamping device with a positioning structure. It includes a stamping device body, a hydraulic telescopic assembly vertically mounted on the upper part of the body, and a horizontally connected upper mounting plate. A punch and a positioner are mounted on the lower side of the upper mounting plate. A stamping table is mounted below the punch, and a driving cavity is provided within the stamping table. A slotted hole communicating with the driving cavity is provided on the upper side of the stamping table. A positioning post is vertically arranged within the slotted hole, and its lower end is connected to the output end of a hydraulic rod within the driving cavity. A hydraulic rod is arranged along the length of the slotted hole within the driving cavity. At least three slotted holes are arranged radially from the center on the upper side of the stamping table. A punch is located above, and a positioner is welded to each side. The hydraulic rod and positioning posts are all matched. Four positioning posts penetrating the outer wall are mounted on the upper part of the stamping table, and the lower part is connected to a support platform. This solves the problem of needing to change different dies for positioning when stamping workpieces of different sizes.

This invention discloses a cable tray box and a handcart-type switch cabinet having the same, comprising a box body, a stripping component, an anti-pull component, and a straightening component. The stripping component, installed inside the box body, can strip the cable sheath. The anti-pull component, installed inside the box body, limits the cable winding and prevents the other end of the cable from being pulled or causing the cable end with the terminal to fall off during the stripping process. The straightening component, installed inside the box body, straightens the bent cable, restoring it to a straight state. By integrating the stripping component, the anti-pull component, and the straightening component, this invention achieves precise stripping, effective anti-pull, and automatic straightening, thereby improving cable routing efficiency, safety, and reliability. It solves the problems of inaccurate stripping, easy pulling of cables leading to loosening, and bending caused by clamping that exist in traditional handcart-type switch cabinets during the cable routing process.

This invention provides a method and system for mine ecological restoration, relating to the field of ecological environment restoration technology. The method includes: obtaining soil damage characteristics based on a pre-acquired ecological area to be restored; obtaining a mine geological composition based on the soil damage characteristics and pre-acquired restoration goals, combined with geological soil selection principles; obtaining a plant species composition based on sampling results from pre-acquired sample plots and restoration goals; and performing ecological restoration of the ecological area to be restored based on the mine geological composition and plant species composition. This invention accelerates the process of geological soil formation and vegetation restoration in abandoned open-pit mines, improves the tolerance of restored vegetation communities to climate fluctuations, and truly achieves precise and sustainable ecological restoration of open-pit mines.

The utility model discloses a kind of edge banding cloth cutting machines, including cutting frame and controller, cutting frame is sequentially arranged in cutting knife mechanism, clamping mechanism and opening upward collecting container, the lower part of cutting knife mechanism is provided with the rotary drive device of driving its rotation, clamping mechanism is provided with the translation drive device of driving its translation along the length direction of collecting container, cutting knife mechanism, rotary drive device, clamping mechanism and translation drive device are connected with controller and are controlled by it.The utility model of a kind of edge banding cloth cutting machine, through the collaborative work of each mechanism, accurate cutting and chamfering to cloth body are realized, cutting precision and efficiency are improved, the consistency of the size of cloth after cutting is guaranteed, to greatly reduce the error of manual operation, production efficiency and product quality are improved.

The application provides a context-aware sensitive information identification method, system, device and medium, and relates to the technical field of data security. In the method, a preset sliding window is used to cut the to-be-identified data stream into a continuous text slice sequence and generate a global coordinate index; a corresponding prompt word template is dynamically assembled based on metadata characteristics; the text slice and the prompt word template are input into a preset context-aware model to output sensitive entities, local start coordinates, local end coordinates and confidence scores; after coordinate conversion, the sensitive entities corresponding to the same global position in the overlapping area of adjacent text slices are de-duplicated to generate a sensitive entity list; and the sensitive entity list is desensitized using a preset security protection strategy, and the desensitized sensitive entity list, global end coordinates and global coordinate index are used for stream reorganization to obtain an identified desensitized data stream, thereby improving the accuracy of sensitive information identification and data desensitization.

The application provides a surface layout optimization method for chip assembly, relates to the technical field of layout optimization, acquires chip key index information, performs circuit board region division analysis according to the chip key index information, performs region division control according to region division analysis data, performs chip placement according to circuit board region division data, performs thermal-electric state analysis and determination according to chip placement data, and obtains basic state determination information; performs pad area analysis according to the basic state determination information, obtains pad area analysis data, acquires preset influence factor information, adjusts and analyzes the pad area analysis data according to the preset influence factor information, obtains pad adjustment analysis data, and adjusts the pad area according to the pad adjustment analysis data. The application solves the problems of strong subjectivity, poor adaptability and many performance hidden troubles of traditional design, and meets the assembly layout requirements of high precision and high stability of power chips.

This invention discloses an intelligent optimization method for energy management based on a swarm algorithm, comprising the following steps: S1, collecting multi-source time-series data and adjustable equipment parameters from the energy management system to generate a prediction sequence, constituting a scheduling space; S2, calculating a risk index sequence to form a risk map; S3, constructing a mapping structure between scheduling schemes and gap fields; S4, constructing a coupled coding structure between population individuals and gap fields to form an initial population cluster; S5, forming an updated population cluster using an improved HHO algorithm; S6, performing selection, replication, and elimination operations to form a new generation population cluster; S7, performing convergence determination, updating the risk map and prediction sequence, and completing the optimization closed loop. This invention enables risk perception, dynamic adjustment, and global optimization of complex energy systems across multiple time scales, improving the economy, energy efficiency, and operational safety of the energy management process.

This invention discloses an artificial intelligence-based distribution management method, system, device, and medium, relating to the field of intelligent distribution management technology. The method includes: S1, data collection; S2, hierarchical identification of referral relationships; S3, intelligent calculation of multi-dimensional rewards; S4, intelligent calculation of regional profit sharing; S5, integrated reporting of distribution operation data; and S6, intelligent optimization of the distribution mechanism. This invention relies on a compliant two-tier distribution core architecture, combined with scientific hierarchical determination, diversified rewards, and support mechanisms. It avoids the compliance risks of multi-level distribution and, through the "first to get rich, then to get rich later" support logic and fair and reasonable profit distribution rules, fully stimulates the promotional enthusiasm of participants at all levels, promoting the stable and sustainable expansion of the distribution network. By using artificial intelligence technology to accurately process data throughout the entire distribution process, it simplifies the entry and operation processes for participants, eliminates the pressure of inventory buildup, lowers the entry threshold, and reduces participation costs.

The present application relates to the field of intelligent medical auxiliary decision-making technology, and discloses a ladder treatment scheme recommendation method based on asthma control level and drug response phenotype. The present application aims to solve the problem that the existing scheme cannot identify the deep reason of uncontrolled condition, leading to blind step-up treatment. The present application excludes non-compliance interference by checking the drug execution rate, and improves the authenticity of condition assessment. The present application uses environmental exposure characteristics to adaptively correct the exhaled nitric oxide determination threshold, and eliminates the deviation of smoking on inflammation recognition. The present application combines the logic tree voting of multi-dimensional biological indicators to lock the drug response phenotype. Finally, based on the double index of condition state and phenotype, the present application locates the upgrade or transformation treatment path and generates a recommended scheme. The present application realizes the precise typing and differentiated drug administration of asthma treatment, effectively reduces the drug exposure risk of hormone-insensitive patients while ensuring the clinical efficacy.

This utility model discloses a four-stage combined folding boom for erecting an arch. A rotary support plate has a rotary table, on which a telescopic folding assembly is rotatably mounted. The telescopic folding assembly includes a folding arm, a connecting rod combined arm, a triangular support platform, and a telescopic combined arm. The folding arm is rotatably mounted on the rotary table, with a connecting rod combined arm at its upper end. A triangular support platform is located at the upper end of the connecting rod combined arm, and the telescopic combined arm is driven onto the triangular support platform. The front end of the telescopic combined arm is connected to a boom head luffing platform, which has a rotating swing gripper at its front end. This utility model, through the forward and backward translation of the connecting rod combined arm, ensures that the telescopic combined arm's gripping range on the arch is expanded, improving gripping efficiency. The combined connecting rod combined arm and the telescopic combined arm, through multi-dimensional precise control, can more effectively erect the arch to the designated position.

This invention discloses a video generation method and system based on artificial intelligence and hot topic monitoring, relating to the field of video generation technology. It includes a hot topic monitoring module, a compliance processing module, a video generation module, and a compliance verification module. By capturing and filtering hot topic information, and combining dissemination frequency and timeliness indices, it accurately identifies high-value content, achieving efficient topic selection for hot topic video creation. Through multi-layered compliance processing including false information identification, value orientation assessment, and portrait rights infringement detection, it ensures that the content is authentic, positive, and legal. By leveraging artificial intelligence to extract script elements and intelligently match or generate materials, it significantly improves video production efficiency and creative richness. Simultaneously, through multi-dimensional compliance verification and correction of the initial video, it ensures that the final video is fully compliant in terms of information authenticity, value orientation, and portrait rights protection. This provides users with high-quality video content that keeps up with hot topics and helps platforms efficiently produce compliant and high-quality works.

The invention discloses an endangered plant phoebe hainanensis identification and systematic monitoring method based on multi-source data fusion, and belongs to the technical field of endangered plant protection. According to the method, a potential distribution area is delineated through a species distribution model, individual accurate identification and filing are achieved through a multi-branch feature fusion model, multi-scale growth and microenvironment data are collected through Internet of Things nodes, and finally a'discovery-identification-monitoring-protection 'whole-process closed loop is formed through a unified data management platform. According to the method, phenological feature extraction, transfer learning modeling, man-machine collaborative verification and low-power-consumption Internet of Things monitoring technologies are adopted, and the problems that a traditional method is low in efficiency, insufficient in recognition precision and fragmented in monitoring are solved. According to the method, efficient discovery, accurate identification and long-term dynamic monitoring of the wild population of the phoebe hainanensis are achieved, scientific support is provided for protection decision making, and the method is convenient to operate and high in practicability and has protection value and application prospects.

This invention provides a reconstruction-based graph-text alignment method for large language models, belonging to the field of large language model technology. It includes: acquiring a text attribute graph and text instructions, serializing the text attribute graph according to a neighborhood detail template to obtain a graph label sequence, aligning it in the text space using a projector to obtain a prefix graph label sequence, and inputting this sequence and the text instructions into a large language model to output graph label hidden representations and prediction outputs; a reconstructed label representation is obtained by aggregating the mean of the graph label hidden representations; a graph reconstruction loss is calculated based on the reconstructed label representation, and a text autoregressive loss is calculated using the prediction output, and a joint loss is obtained; the projector and the large language model are optimized by minimizing the joint loss to complete the graph-text alignment. This invention solves the problems of existing graph labeling large models relying solely on text instructions for supervision, resulting in insufficient graph-text alignment, inadequate utilization of graph structure information, and low performance.

This invention discloses a minimally invasive and controllable processing device for wheat grain skin, comprising: a feeding unit for storing wheat grains and discharging individual grains; a conveying unit for receiving wheat grains discharged from the feeding unit and driving them along a preset path in a single-grain carrying manner; a stress application unit for applying stress to the wheat grains on the conveying unit, causing cracks to form on the wheat grain skin; a visual inspection unit for acquiring and recognizing images of the wheat grains processed by the stress application unit to determine whether the crack formation state of the wheat grain skin meets the standards; and a rejection unit configured to reject unqualified wheat grains based on the detection results of the visual inspection unit, thus completing the sorting of qualified wheat grains. This invention achieves automation and precision in minimally invasive processing of wheat grain skin, greatly improving work efficiency, while also ensuring high consistency of the processed wheat grains, facilitating experiments.

The utility model relates to the technical field of machining, and discloses a pressing plate with a pressure detection function. The device comprises a pressing plate, one end of the pressing plate is provided with a pressure sensor which can accurately measure the stress pressure of the pressing plate, the installation position is flexible, and the pressure sensor can be arranged on the contact side of the pressing plate and an ejector rod or a workpiece. An electric control box is further arranged, electrically connected with the pressure sensor and externally connected with a display device to display pressure readings in real time. The pressing plate is matched with an electric, pneumatic and hydraulic motor-driven L-shaped mold pressing device. During working, the driving mechanism drives the transmission part and the pressing plate to apply pressure, the pressure sensor quickly senses the pressure, converts the pressure into an electric signal and transmits the electric signal to the electric cabinet, and the pressure is displayed in real time after processing. The problems that the pressure of an existing pressing die is difficult to control and cannot be monitored in real time are solved, the method is suitable for the fields of die, part and plate machining and the like, the rejection rate can be reduced, efficiency can be improved, and industrial intelligent high-quality development is assisted.

Embodiments of the present application provide a power distribution room fire warning method, device, equipment, medium and program product. The method comprises: inputting a collected power distribution room image to an embedding layer of a pre-trained fire warning model, representing the power distribution room image as a corresponding word symbol sequence based on the embedding layer; inputting the word symbol sequence to an encoder layer of the fire warning model, the encoder layer comprising a plurality of sub-layers; obtaining attention calculation results obtained by attention calculation of the word symbol sequence by different sub-layers; selecting a target attention calculation result from the attention calculation results corresponding to different sub-layers; inputting the target attention calculation result and the category word symbol in the word symbol sequence after splicing to the last sub-layer of the encoder layer to obtain an encoding result; inputting the encoding result to a classification layer of the fire warning model to obtain a fire prediction result for the power distribution room. The method is used to capture weak feature changes in the early stage of the fire, thereby achieving the effect of earlier warning.

This application provides a forming system and its application method for filling buccal cavities of teeth. Through the synergistic design of buccal forming piece, pressure retention device and detachable wedge, it fundamentally solves the inherent defects of traditional manual filling and realizes the standardization, precision and efficiency of filling buccal cavities of teeth.

The application discloses a kind of personalized intelligent recipe recommendation system based on user health information, comprising: user information management module, for obtaining and managing the health information of user;Energy calculation module, for calculating ideal body weight, body type classification, basal energy requirement, blood sugar adjusted energy requirement and meal nutrient target according to user information;Food database, for storing the nutrient composition and type attribute of food;Recipe generation module, for selecting food combination from food database according to meal type and nutrient target, and generating personalized recipe using multi-nutrient synergistic optimization intelligent algorithm.The present application is based on the principle of nutrition, on the basis of personalized health management, increase the precise energy calculation function based on ideal body weight and body type classification, realize precision and individualization in energy calculation, nutrient optimization, food selection and other multiple links.

The application relates to the technical field of water environment monitoring and water quality prediction, and particularly relates to a regional water quality prediction method and system. The application can perform modal decomposition according to the frequency distribution of detection data, extract time characteristics of modal components respectively, and couple the time characteristics through a self-adaptive updating graph network structure, so that the time characteristics and spatial characteristics are combined to obtain space-time characteristics, and finally, the space-time characteristics of two different modes are fused to obtain a prediction result. Compared with the prior art, the embodiment of the application can start from the characteristics of water quality data, consider the long-term volatility, short-term volatility and spatial part changeability of the water quality data, extract multiple features of the data, and optimize the time characteristics and spatial characteristics, finally obtain fused characteristics reflecting the space-time distribution of the water quality data, and realize the accuracy of the regional water quality prediction result based on the fused characteristics.

The present application belongs to the technical field of supply chain decision optimization, and particularly relates to a supply chain evolution game decision optimization method and system fusing multi-source data. The present application firstly calculates strategy distribution entropy based on the strategy selection proportion of each subject, then calculates external disturbance factors based on external environment indexes in the global trusted state data, secondly calculates comprehensive game state entropy based on the calculation results of strategy distribution entropy and the calculation results of external disturbance factors, and finally sets a game imbalance early warning threshold to pre-judge potential risks based on the calculation results of comprehensive game state entropy, and automatically generates a regulation and control strategy to intervene in the game process when the early warning is triggered, thereby guaranteeing the stable operation of the supply chain. This progressive calculation method makes the entropy value not only reflect the change of the internal game state, but also perceive the disturbance of the external environment, thereby realizing accurate risk measurement combining internal and external factors, and being more scientific and authentic than single-dimensional entropy value calculation.

The application provides a control method and device of an air conditioner, a storage medium and the air conditioner. The method comprises the following steps: after the air conditioner is started to cool, an initial running frequency of the air conditioner last time when the air conditioner is started to cool under the same indoor and outdoor environment temperature and set temperature as this time is acquired, and a second time length of running at an intermediate running frequency is acquired; it is judged whether the second time length of running at the intermediate running frequency last time is greater than a preset time length; if it is judged that the second time length is greater than the preset time length, a preset frequency value is added to the initial running frequency of the air conditioner last time when the air conditioner is started to cool, as the initial running frequency of the air conditioner this time when the air conditioner is started to cool; if it is judged that the second time length is less than or equal to the preset time length, the initial running frequency of the air conditioner last time when the air conditioner is started to cool is taken as the initial running frequency of the air conditioner this time when the air conditioner is started to cool. The application can realize the rapid change of room temperature and improve the comfort of users.

This invention discloses an intelligent fault prediction method for pneumatic valve islands based on multi-protocol integration, belonging to the field of pneumatic valve island fault prediction technology. It includes constructing a protocol sensing layer data cube by integrating multi-protocol edge gateways to synchronously collect multi-source sensor data under the same timestamp reference, based on the heterogeneous characteristics of the valve island's physical topology and protocols. This invention achieves a paradigm shift from macroscopic pressure judgment to microscopic feedforward early warning by constructing the protocol sensing layer data cube, fusing protocol-topology joint feature maps, quantifying microscopic flow stability, predicting flow reconstruction probability, generating dynamic multimodal intervention commands, verifying protocol adaptive closed-loop, and performing digital twin health simulation. This forms a complete intelligent prediction-intervention-optimization closed loop, enabling the system to intelligently replenish air and automatically adjust throughout the process, achieving zero-blockage operation of the valve island and significantly improving system reliability and maintenance efficiency.

The invention provides an import and export dangerous package comprehensive performance detection method and system, and relates to the technical field of import and export safety detection. Multi-dimensional core performance indexes such as sealing performance and structural strength of import and export dangerous packages to be detected are comprehensively detected, collected detection data are subjected to noise reduction, calibration and normalization preprocessing, the preprocessed data are analyzed, researched and judged through a preset comprehensive detection model, the package performance grade is quantified, whether the package performance grade meets import and export detection standards or not is judged, and the detection accuracy is improved. And finally, a standardized detection report is generated, early warning is automatically given out for unqualified packages, and defect positions and rectification suggestions are determined. By adopting the scheme of the invention, the automatic, precise and efficient detection of the comprehensive performance of the import and export dangerous packages is realized, the problems of single detection dimension and low precision and efficiency in the prior art are solved, the import and export inspection requirements can be strictly met, and the safety risk of dangerous goods transportation is effectively prevented.

The present application relates to the technical field of mine safety production and geological disaster monitoring, in particular to a kind of open pit slope floatstone dangerous intelligent sensing method and related equipment, method is, obtain target slope image, and reconstruct depth map.Prepreg floatstone region segmentation is carried out to slope image using pre-trained PSPNet image segmentation model, and floatstone segmentation map is generated.Pixel-level fusion is carried out to segmentation map and depth map, and three-dimensional point cloud data of floatstone is extracted.Convex hull algorithm is used to carry out three-dimensional grid reconstruction to point cloud, and the geometric characteristic parameter of floatstone is calculated, based on fuzzy comprehensive evaluation theory, in combination with above-mentioned geometric characteristic parameter, the danger level of floatstone is comprehensively evaluated, and scientific basis is provided for mine safety management.The method realizes the full-process automation from image acquisition to danger level evaluation, improves the evaluation efficiency and accuracy.

This utility model relates to the technical field of packaging material testing equipment, and in particular to a device for testing the tensile strength of plastic bag handles. It includes a tensile strength testing machine with a mounting plate connected to its upper and lower ends. A controller is installed on the tensile strength testing machine. A compression plate is slidably connected to the front of the mounting plate, and a limit block is fixedly connected to the rear of the mounting plate. A top block is slidably connected within the limit block, and the top block engages with the compression plate. An adjusting screw is rotatably connected to the front of the mounting plate and threadedly connected to the compression plate. A return spring is sleeved on the rear of the top block. By linking a rangefinder with an auxiliary light, the auxiliary light adjusts the crosshair projection position according to the distance between the upper and lower mounting plates detected by the rangefinder, forming a vertically aligned reference. This ensures that the upper and lower ends of the plastic bag are held in the same vertical direction, achieving vertical clamping of the plastic bag and improving the accuracy of the test data.