76results about How to "Improve recognition" patented technology

The invention discloses an unmanned aerial vehicle small target detection method based on unsupervised adversarial learning, and relates to the technical field of small target detection. According to the method, image multi-scale degradation and enhancement are introduced, so that a detection model can better learn multi-element structures and modes in data, and a small target can be better identified. In this way, the model can assist a target detection framework in learning semantic features with higher identification degree and universality for small target recognition. A generative adversarial network is introduced into a target detection task, a feature extractor is used to replace a generator, corresponding feature maps are generated from an image background and a synthetic image through the feature extractor, the two different feature maps are transmitted into a discriminator at the same time, and the discriminator can discriminate and distinguish the differences of the two feature maps. The discriminator can focus on learning the difference of the two feature maps in continuous adversarial learning, and is used for carrying out precise positioning detection on a small target object in the composite image feature map.

The invention provides an industrial field production decision-making system and method based on an intelligent decision-making model, and the system comprises an IBP consistency plan module which is used for supporting the generation of an integrated business plan group; a plurality of different strategy plans are set for comparison, and plan decision making is assisted; the intelligent main plan decision-making module is used for supporting constraint configuration at least including productivity and materials, generating different target-oriented main plan versions and making a decision on an optimized production plan; the intelligent production planning module is used for supporting configuration of demand plans of different levels and generating a production line scheduling plan with limited capability; the system is also used for supporting visual display of a production line scheduling plan result; and the order full life cycle management module is used for measuring and calculating an order delivery plan and generating an order delivery time report by taking the order demand as input and the capacity and the material as constraints. According to the invention, an intelligent decision technology is introduced to solve the production decision problem in the industrial field.

The invention discloses a carbon integral incentive and emission reduction contribution evaluation method and device and electronic equipment, and the method comprises the steps: obtaining behavior data of a user, the behavior data comprising energy use data, transportation data, paper data and shopping data; calculating an energy carbon footprint of the user according to the carbon emission factor and the behavior data; according to the energy carbon footprint, carbon points of the user are determined, and the carbon points can be subjected to carbon point transaction on an enterprise platform; and establishing an emission reduction contribution ranking list of the user community according to the acquisition amount of the carbon points, determining the carbon transaction amount of the enterprise platform according to the exchange amount of the carbon points, and determining the personal carbon market scale according to the carbon transaction amount. According to the method, the individual carbon emission contribution can be evaluated more comprehensively by acquiring various behavior data of the user, a more accurate basis is provided for subsequent carbon point calculation, individual carbon reduction behaviors of carbon point acquisition are diversified, and the individual participation enthusiasm is comprehensively improved.

The invention relates to the field of power systems, and discloses a DMMoEQN-based power system parameter identification method, which comprises the following steps: acquiring an initial observation value # imgabs0 # and a target observation value # imgabs1 # of a power system, and selecting an optimal parameter adjustment action # imgabs3 # by an intelligent agent according to a current observation value # imgabs2 # through an online network; an action # imgabs4 # is executed, the electric power system updates a parameter state # imgabs6 # of the electric power system according to the action # imgabs5 #, and a new observation value # imgabs7 # is obtained; calculating a step reward according to an error between the new observation value # imgabs8 # and the target observation value # imgabs9 #, and obtaining a total reward according to the step reward; judging whether the observation value # imgabs10 # of the electric power system is within the error range of the target observation value # imgabs11 #, if so, performing initialization, and continuing training; when the epoch number is larger than the preset maximum epoch number, training is ended, a power system parameter set # imgabs12 # is obtained through the trained power system parameter identification model, and the power system is adjusted according to the parameter set # imgabs13 #. According to the invention, efficient and accurate parameter identification and dynamic adjustment of the power system can be realized.

The invention discloses a hemodialysis internal fistula puncture needle consumable management system and method, and relates to the technical field of hemodialysis consumable management, and the method specifically comprises the following steps: obtaining consumable demand change information of all abnormal departments in real time, and respectively generating demand fluctuation sensitivity coefficients and abnormal fluctuation evaluation indexes of all abnormal departments; and constructing an abnormal fluctuation evaluation model for the generated demand fluctuation sensitivity coefficient and abnormal fluctuation evaluation index of each abnormal department, generating an abnormal evaluation coefficient of each abnormal department, and evaluating the abnormal degree of the consumable demand change of each abnormal department. And the abnormal departments are divided into high-degree abnormal departments, medium-degree abnormal departments and low-degree abnormal departments according to evaluation results. According to the invention, through real-time monitoring and intelligent analysis of the consumable demand change of the abnormal department, the problem that inventory distortion and demand abnormity cannot be identified in time in a traditional management mode is solved, and the accuracy and efficiency of consumable management are improved.

The invention specifically discloses an early strength admixture for a ballastless track concrete sleeper, which comprises 20-50 wt% of an early strength guarantee component A, 15-40 wt% of a later strength guarantee component B, 5-15 wt% of an industrial solid waste component C, 15-25 wt% of a high temperature activity guarantee component D, 0-5 wt% of an expansion component E and 0-5 wt% of an excitation component F. The industrial solid waste component C comprises modified lithium slag. According to the method, the industrial solid waste component C is used for modifying the lithium slag, the potential negative effect of the lithium slag is eliminated in a manner of adding the modified material and autoclaving, and a new manner is provided for consumption of the industrial solid waste. On the basis of a traditional admixture, early strength, later strength, high-temperature activity guarantee, expansion and excitation components are effectively integrated together, the respective effects of the components are exerted, and the prepared product meets the requirements in TBT 3397-2015 CRTS double-block ballastless track concrete sleepers.

A method for investigating buildings with illegal stock based on mass data relates to the technical field of geographic information, and is characterized by comprising the following steps: defining illegal buildings; comparing the data; analyzing and collecting data; making data; judging data; correcting and checking the data; summarizing, analyzing and evaluating; and feeding back reminding. The method has the advantages that the change area of the building is quickly identified by using the orthoimage, and the point cloud data is used for building investigation without on-site investigation, so that the identification and investigation efficiency and speed are greatly improved; the form and position information of the building can be accurately captured through the point cloud data, and compared with traditional two-dimensional image analysis, higher precision and accuracy are achieved; through combination of examination and approval data judgment and management right judgment and verification, higher authority and recognition degree are achieved; carrying out all-around analysis display and passing; and a visualization technology assists decision support.

The invention provides an industrial robot kinetic parameter identification method based on an adaptive mutation particle swarm algorithm, and the method comprises the following steps: S1, building a kinetic model according to a DH parameter of a robot and a Newton-Euler kinetic equation, and directly determining a minimum parameter set according to the DH parameter and a joint type; s2, optimizing two mixed trajectories of Fourier series and polynomial in MATLAB (matrix laboratory); s3, driving the robot to run an excitation track, collecting data, and performing filtering calculation to obtain an observation matrix and a joint torque; s4, calculating a group of initial solutions through a least square method, and taking the initial solutions as a particle swarm optimization algorithm search range of adaptive variation in a certain range of the initial solutions; and S5, driving the robot to run the verification track, and processing the collected data to obtain an observation matrix of the verification track. According to the method, the mixed trajectory based on the Fourier series and the polynomial serves as the excitation trajectory, one-time overall identification is carried out through the self-adaptive variation particle swarm optimization algorithm, the identification result is accurate, and the predicted torque following performance is high.

The embodiment of the invention relates to a fall detection method and device, electronic equipment and a storage medium, and is applied to the technical field of computer vision and image processing, and the method comprises the steps: detecting key point sets corresponding to a preset number of target parts in a target image and grounding parts in the target parts, the target image at least comprises one target object; based on the key point set corresponding to the grounding part, constructing a strip-shaped contour of the grounding part through a grounding contour strip-shaped algorithm; extracting features of the ground contact part based on the strip-shaped contour of the ground contact part; and performing fall detection on the target object based on the ground contact part features. Therefore, the key part of the human body touching the ground is directly found, the touching part is subjected to strip-shaped instance segmentation for tumble detection, better identification degree and generalization are achieved, height-width ratio auxiliary features are introduced, missing detection caused by missing of the key tumble part is reduced, sensitivity is improved, the median line width is introduced, and misjudgment caused by hand opening is reduced.

The invention provides a dry bulk cargo port and wharf pollution prevention and control level quantitative evaluation method which aims at four key factors which influence the dry bulk cargo port and wharf pollution prevention and control level, such as port dust and waste gas prevention and control measure application, port water pollution and solid waste prevention and control, ship pollutant receiving, transferring and disposal and port operation noise prevention and control. And respectively constructing an evaluation index and a calculation method. According to the evaluation method, a quantitative calculation method is constructed by combining 12 indexes such as a dust concentration monitoring numerical value, production wastewater and domestic sewage treatment, a ship garbage transfer and disposal proportion and a factory boundary noise standard reaching rate, the actual level of the dry bulk port wharf in the aspect of pollution control can be scientifically and systematically evaluated, and a basis is provided for port environmental protection decision making. Meanwhile, the method can be used for contrastive analysis among different ports and piers, and has relatively high operability and practicability.

This invention discloses an intelligent goods delivery route optimization method, relating to the field of intelligent logistics and delivery technology. The method comprises the following components: S1, metaverse space construction; S2, user role creation and access; S3, immersive collaborative route planning; and S4, route optimization algorithm and data-driven approach. By constructing a logistics and delivery metaverse space, this invention achieves real-time synchronization between the real world and the virtual space, including synchronized updates of order information, vehicle location, and traffic conditions. This helps logistics dispatchers perform more accurate route planning in the virtual environment. Delivery personnel can also view and provide feedback on route planning schemes through virtual roles before executing tasks, thereby achieving multi-party collaborative immersive route planning. This method can significantly improve the efficiency and accuracy of goods delivery, reducing delivery delays or errors caused by information asymmetry or poor communication.

The invention discloses an electricity utilization safety and electricity larceny prevention identification technology based on AR and a knowledge graph, which comprises an acquisition module, a processing module, an uploading module, an AR module, an identification module and a data transmission module, and is characterized in that the acquisition module is a mutual inductance coil, the mutual inductance coil is divided into a tubular type and an attached type, and the processing module is connected with the processing module; the processing module is used for converting analog quantity signals of the mutual inductance coil to obtain current and voltage data, recording and storing the current and voltage data and processing the current and voltage data through the detection box, real-time dynamic comparison monitoring can be conducted on the electric energy transmission amount of the supply side and the electric energy transmission amount of the user side, the timeliness effectiveness and the identification precision of the detection work are effectively improved, and the detection efficiency is improved. The detection work can be carried out more stably, efficiently, continuously and stably, multi-point comprehensive joint control monitoring is indirectly realized, the detection precision is improved, mutual supervision among users is realized in a disguised manner, mutual holding is carried out among the users, the cracking difficulty of the device is greatly enhanced, and the electricity stealing difficulty of the users is improved.

The utility model provides a packaging box for electronic optical lens cones, which comprises a box body, a box cover, a box cover and a box cover, and an equipment cavity for accommodating the electronic optical lens cones is arranged in the box body; the controller is arranged on the box body and is configured to be electrically connected with a vacuumizing device of the electron optical lens cone so as to control the vacuumizing device; and the power supply device is arranged on the box body and is configured to supply power to the controller and the vacuumizing device. According to the packaging box, in the transportation process of electronic optical lens cones such as the electronic optical lens cones, on the basis that the safety of hardware structures is guaranteed, the influence of external interference on the lens cones, especially vibration interference, can be greatly reduced; in addition, the electronic optical lens cone can effectively guarantee high vacuum for a long time, so that a machine can be quickly reset at a client conveniently, the installation time is shortened, and the recognition degree at the client is enhanced.

The present invention relates to a method for locating resident loads, the method comprising: defining a resident load network M × N The user side load network matrix, M is the number of air switches in the distribution box, N is the maximum number of electrical devices connected behind the air switch. The elements in the user-side load network matrix are the carrier input impedance or working state of each electrical device. The position of the elements in the user-side load network matrix depends on the relative position of the corresponding electrical device to the electric meter in the residential load network. The carrier input impedance of each electrical device is measured at the electric meter and fitted using the XGBoost algorithm. M , N The value of is then iterated by the XGBoost algorithm to fill the carrier input impedance or working state of each electrical device into the user-side load network matrix, thereby determining the relative position of each electrical device based on the filled user-side load network matrix. The present invention can locate each electrical device in the residential load network and improve the level of residential load identification.

The utility model relates to a kind of multifunctional combination headlight, it mainly includes outer decorative frame 1, upper gasket 2, lower gasket 3, light distribution mirror 4, inner lens 5, LED reflecting bowl 6, decorative frame 7, lens sheltering decorative piece 8, pedestal 9, LED module 10, double light lens 11, light adjusting support 12, light adjusting motor 13, motor support 14, bulb 15, back cover 16, wherein pedestal 9 is assembly main body, the rest parts are directly or indirectly fixed on pedestal 9, thereby forming upper horizontal and side-by-side arrangement and mutually independent front position light, front turn signal, front day light, lower separately arranged high-low beam lamp overall car lamp modeling.The combination headlight has the advantages of simple structure, rich function, easy assembly, etc., not only further enriches the car lamp product library of our company, meets the personalized needs of different models and different configurations of host factory, but also emits light evenly and has unique lighting effect.

The invention discloses a chromatic aberration correction method based on computer visual feedback and a storage medium. The method comprises the following steps: traversing each standard color value; controlling each projector to project a pure color image generated according to the current standard color value, and simultaneously shooting the images projected by each projector through a camera; respectively calculating the imaging color difference between the reference projector and each projector to be adjusted according to the shot image; if the imaging color difference is smaller than the preset color difference threshold value, the latest output color value of the projector to be adjusted is used as a corrected color value corresponding to the current standard color value; otherwise, updating the output color value of the projector to be adjusted, and repeating the steps of projecting the image and calculating the imaging color difference; after traversal is completed, obtaining a color lookup table of each projector to be adjusted; and when the to-be-displayed color value needs to be displayed, controlling the reference projector to display the to-be-displayed color value, and controlling each to-be-adjusted projector to display a corresponding corrected color value of the to-be-displayed color value in the to-be-adjusted projector. According to the invention, chromatic aberration between projectors can be offset.

This invention discloses a method and system for anomaly identification in multi-source monitoring data of steel structures, belonging to the field of steel structure monitoring data processing technology. The method includes acquiring multi-source monitoring data of steel structures and unifying time-scale alignment, generating a preprocessed dataset containing working condition features and quality markers. Based on the working condition features, the physical baseline prediction value is calculated; based on the preprocessed dataset, the data baseline prediction value is calculated, and dual residuals are obtained. The physical residual strength is calculated based on the dual residuals; and the residual inconsistency degree and sliding window adaptive threshold are calculated to output anomalies. This invention constructs a stable input through unified time-scale and quality marker constraints, generates physical and data dual baselines in parallel, and outputs dual residuals. Online discrimination is completed using correlation robustness strength + residual divergence adaptive weight + sliding window threshold, achieving an interpretable, traceable, and more robust anomaly identification process for long-term monitoring under working condition drift.

The invention discloses a flexible electronic skin and a preparation method thereof, and the flexible electronic skin comprises a flexible substrate and a conductive layer deposited on the flexible substrate; the resistance threshold of the flexible substrate is different from the resistance threshold of the conductive layer. According to the invention, a double-layer structure design is adopted, and a high-sensitivity sensor is formed by using the difference of resistance thresholds of two layers of materials. The sensor can generate a stable resistance waveform with a remarkable identification degree when receiving small deformation.

The invention discloses an electric underground surveying method using a machine to replace manual work, and belongs to the field of measurement. The intelligent image recognition technology is applied to underground surveying work of an electric well, the Raspberry Pi serves as a core, a high-definition camera, a digital steering engine and a telescopic long rod are used as auxiliary materials, and real-time monitoring, scene recording and remote operation of the electric underground environment are achieved; the underground environment is tracked through automatic tracking of Open CV or operation at a mobile phone end through rapberryAPP; a Python program is adopted to collect image data through an API, so that the image can be presented in real time at a mobile phone end, and the operation and maintenance efficiency is improved. Compared with the prior art, the underground exploration system has the advantages that manual underground exploration is replaced by a machine, the safety risk of manual underground exploration is reduced, various human injuries are avoided, and the safety of underground exploration operation is improved by utilizing sensing and exploration of a limited space of man-machine interaction.

This invention belongs to the field of elevator light curtain technology and discloses an elevator light curtain with door opening and closing warning function. It includes a light curtain housing and positioning frames fixed at both ends. A groove is formed on the left side of the light curtain housing, and the light curtain body is connected inside the groove. Warning LEDs are installed on both sides of the light curtain body. A movable frame is fitted around the outside of the light curtain body. Limiting grooves are formed on the front and rear sides of the light curtain housing, and the movable frame slides in cooperation with the limiting grooves. This elevator light curtain with door opening and closing warning function completely changes the traditional "passive response" safety protection mode of light curtains through the design of multiple arrays of dual-color warning LEDs, constructing an active and efficient warning system. During the elevator door closing process, the high brightness and wide warning range of the dual-color flashing lights can clearly remind the elderly and children who move slowly, and can also effectively attract the attention of passengers focused on electronic devices, avoiding collisions or pinching accidents caused by delayed reaction.

This invention relates to the field of unmanned aerial vehicle (UAV) inspection technology, specifically to an augmented reality-based UAV inspection platform and method for airport airspace. The platform comprises interconnected server modules, a GIS engine module, a UAV module, a flight control and interaction module, a data interface module, a business management module, and a UAV application module. By utilizing augmented reality technology to provide intuitive information overlay and precise guidance for UAV inspections, it achieves efficient and comprehensive inspection of airport airspace and possesses the ability to proactively handle intrusion targets such as unauthorized UAVs. This effectively solves the problems of low efficiency and incomplete coverage in traditional manual inspections, insufficient accuracy and poor real-time performance of remote sensing monitoring methods, high costs of long-term periodic updates, and passive defense against intrusion targets such as unauthorized UAVs.

This application discloses an odor-proof main structure and a cat litter box, relating to the field of pet product technology. The odor-proof main structure includes a litter bin and a base. The litter bin is rotatably mounted on the top of the base. The top of the base has a recessed cavity into which the bottom of the litter bin extends. A uniform rotational gap is formed between the inner wall of the recessed cavity and the litter bin. A collection port is located at the bottom of the recessed cavity. A sealing ring is installed at the bottom of the litter bin. The sealing ring is in sealed contact with the inner wall of the recessed cavity. When the litter bin is in its initial position, the projection outline of the sealing ring on the ground is outside the projection outline of the collection port on the ground. This odor-proof main structure effectively prevents odors from escaping from the litter bin, effectively reduces noise, and maintains a simple structure, facilitating disassembly and cleaning.

This invention discloses an AI-powered intelligent layout and landscape optimization system for landscape planning and design. The system comprises: a multi-source data preprocessing module for acquiring multi-source data for landscape planning and design, performing data cleaning and spatial data fusion; a basic rule constraint module for analyzing industry standards for landscape planning and design, establishing site-specific constraints, and transforming functional requirements into quantifiable constraint indicators; an ecological and humanistic dual-driven collaborative optimization module including a gene pool evolution sub-module and a narrative script arrangement sub-module; a simulation verification module using CFD numerical simulation technology to simulate ecological processes within the site, analyze spatial use performance indicators, and output simulation results; and a scheme output and iterative optimization module for generating visualized schemes, conducting multi-dimensional comparisons, providing users with an interactive editing interface, and performing iterative optimization. This invention enables automated landscape planning, achieves long-term stable evolution of plant communities, and boasts high design efficiency.

The present application provides a flexible wearable hydrogen sulfide detection device assisted by machine learning. It includes a flexible substrate, an indium oxide / polyaniline composite material, a conductive terminal, and a power supply and current test unit connected thereto through an electrical path. The present application utilizes the gas-induced resistance effect of the indium oxide / polyaniline composite material to produce a resistance value change that matches the concentration of hydrogen sulfide gas, and calculates the concentration of hydrogen sulfide gas according to the change in resistance through the current detection unit, thereby realizing the identification of the concentration of hydrogen sulfide. The flexible substrate of the present application can be bent arbitrarily, and the influence of its bending curvature on the resistance can be normalized by the machine learning algorithm set in the central computing unit, thereby obtaining the hydrogen sulfide concentration that matches the current bending deformation state of the flexible substrate. The hydrogen sulfide detection device of the present application has advantages of low price, simple process, reliability, high flexibility, lightness, air permeability, etc., and is more convenient for the wide application of sensors for the Internet of Things.

The invention provides a vehicle maintenance method based on remolded accessories and related equipment, and relates to the technical field of vehicle maintenance. The method comprises the steps that fault accessories which cause corresponding faults and are associated with the corresponding regions in all the regions are divided according to fault types and serve as vulnerable accessories of the corresponding regions; determining a fault accessory which causes the fault vehicle to have a corresponding fault and taking the fault accessory as a target accessory; and judging whether the target accessory belongs to a vulnerable accessory in the current region, and prompting a maintainer to replace the target accessory with a corresponding remolded accessory to repair a corresponding fault, or prompting the maintainer to replace the target accessory with a corresponding standby accessory to repair the corresponding fault. The problem that an existing maintenance mode cannot feed back advanced maintenance strategies to the taxi industry is solved, advanced maintenance suggestions adapting to regions are provided for users, and the recognition degree and the trust degree of the users to maintenance parties can be improved.

The present application relates to a kind of hot-rolled thin gauge high temperature coiling strip false slab judging method, belong to the technical field of hot continuous rolling plate production method.The technical scheme of the present application is: when high temperature coiling thin gauge strip rolling, on the basis of original 2# pyrometer detection, automatic control system increases the thickness of strip, coiling temperature target value and F7 finishing mill rolling signal to the true of strip in laminar cooling area It is judged, after the completion of the coiling of the strip, if F7 finishing mill loading signal is 0, when 2# pyrometer detects strip signal, it is judged as false slab, mathematical model does not set the parameters such as laminar cooling water, speed for the false slab.The present application expands the control function to automatic control system, increases the false slab identification function, can automatically identify false slab signal in production, does not cause the influence to the setting and control function of actual slab rolling parameter, without manual intervention, automatic control system runs stably and reliably.

The present invention provides a method for identifying the source of a video signal, comprising the following steps: a receiving end control unit in a receiving end device assigns a first identification code to a first transmitting end device. A first video data is transmitted via the first transmitting end device. The receiving end control unit synthesizes the first video data and a first identification image corresponding to the first identification code into first synthesized video data, and the receiving end control unit outputs the first synthesized video data to a display device. The present invention helps conference participants to quickly identify the corresponding video signal source presenter for a certain screen in the split screen, and then raise questions for discussion.

The present invention relates to the field of evaluation index screening technology, and in particular to an evaluation index screening method and system for a computer-assisted language evaluation system. The method comprises the following steps: obtaining learner auxiliary language learning information data from a computer-assisted language evaluation system and performing evaluation index statistical analysis to obtain an initial evaluation index set for auxiliary language learning; performing evaluation standard index screening processing at the same time to obtain an auxiliary language evaluation primary index set; performing expert coordination evaluation analysis and cognitive impairment association evaluation calculation on the auxiliary language evaluation primary index set, and performing index evaluation screening processing to obtain an auxiliary language evaluation secondary index set; and integrating the auxiliary language evaluation secondary index set into a computer-assisted language evaluation system for evaluation analysis to obtain a computer-assisted language evaluation output result. The present invention can dynamically screen out suitable evaluation indicators, thereby improving the accuracy and practicality of the system evaluation results.

The application discloses a vehicle-mounted external device access method and device, a storage medium and a vehicle, and relates to the technical field of external device identity authentication and data security, and comprises the following steps: detecting an external device based on a vehicle-mounted USB interface, creating a virtual sandbox environment, and temporarily mounting the external device based on the virtual sandbox environment; performing access testing on the external device, determining an access testing result; and in response to the access testing result meeting an access condition, determining that the external device accesses a vehicle-mounted system. Through the application, it can be ensured that a crash in a testing stage does not affect a main system, so that more than 99% of vehicle-machine black screen restarts caused by external devices are eliminated, the ability of the system to intelligently identify problem external devices can improve user recognition of vehicle technology, and negative publicity of "vehicle-machine easy to crash" is avoided.