103results about How to "Quick discovery" patented technology

The invention discloses a non-vision field imaging detection method and system fused with an event camera, and the method comprises the following steps: enabling the event camera and a standard optical camera on a detection prototype to be aligned with a ground region of a corner, forming a video file based on a tiny pixel color difference amplification technology, and carrying out the calculation and analysis of the video file; processing the video file by using an image matching algorithm, and eliminating noise by using Kalman filtering; establishing a linear system, and then obtaining a reconstructed image by using a forward transmission light intensity function; performing Euler video amplification processing on the reconstructed image, wherein the Euler video amplification comprises motion estimation, spatial decomposition, time filtering and signal enhancement; detecting the detection area, and mapping the motion track of the target hidden behind the corner to a two-dimensional plane; the system comprises a simulation scene construction module, a three-dimensional point cloud set construction module and an information integration module. According to the invention, a micro motion algorithm and optical flow calculation are popularized to non-vision field imaging, so that the optical imaging technology can act on a vision field range and also can act on a non-vision field range.

The invention provides a virtual resource acquisition method and device, equipment and a storage medium, and belongs to the technical field of multimedia. The method comprises the following steps: displaying a resource prompting component on a playing interface of multimedia resources, wherein the resource prompting component is used for prompting to obtain virtual resources associated with the multimedia resources; in response to the fact that the resource prompt component meets the interaction condition, displaying that a first virtual container moves on the playing interface, the first virtual container being used for loading the virtual resource; and in response to a trigger operation on the first virtual container, displaying that the virtual resources appear after the first virtual container is opened. According to the technical scheme, the interestingness of playing the multimedia resources is increased, the information transmission efficiency and the man-machine interaction efficiency are improved, and the conversion rate of the virtual resources is improved.

The invention relates to the technical field of sewage treatment, in particular to a sewage treatment effect assessment method and system based on data analysis, which improve the quality of sewage treatment effect assessment and realize accurate assessment of sewage treatment effect. The method comprises the following steps: acquiring biochemical data information of a water quality sample before and after sewage treatment and microscopic image information of the water quality sample after sewage treatment; performing water quality biochemical feature extraction on the water quality sample biochemical data information before and after sewage treatment, and calculating to obtain water quality biochemical feature change vectors before and after sewage treatment; inputting the water quality biochemical characteristic change vector into a water quality treatment biochemical effect evaluation model to obtain a first-order sewage treatment effect evaluation result; performing water quality image feature extraction on the water quality sample microscopic image information after sewage treatment to obtain a water quality image feature set; and aiming at each water quality image feature in the water quality image feature set, respectively comparing with a corresponding preset image feature.

The invention discloses a determination method for different origins of metallogenic fluids in a mountain-building type gold deposit in the south of Jiangsan. According to the method, through innovative sample collection and pretreatment, high-resolution sampling and fine treatment are carried out on specific parts of an ore deposit; advanced fluid inclusion comprehensive analysis is adopted, and inclusion information is accurately obtained in combination with multiple technologies; high-precision stable isotope determination and innovative interpretation in combination with a regional database are applied; element geochemical deep analysis and innovation index application are carried out, and SR-XRF and a machine learning algorithm are introduced; and finally, through comprehensive data fusion and intelligent analysis, constructing an intelligent platform and drawing a three-dimensional evolution model. The method can effectively integrate multi-source data, accurately determine the origin of the ore-forming fluid, overcome the limitation of a traditional method, improve accuracy and reliability, provide powerful support for deep exploration of ore deposit causes and prospecting exploration, and have important theoretical and practical significance.

The invention discloses a method for automatically testing an interface based on RPA. The method comprises the following steps: making a test plan; building a test framework; compiling a test script; performing integrated testing; executing the test script; analyzing a test result; and maintaining the test script. Based on an RPA tool, through a graphical interface and predefined operation, a tester can create an automatic test script without writing any code, and the tester can define a complex test process only through simple dragging, clicking and configuration; an RPA tool is generally designed to be visual and easy to use, even a tester without any programming experience can quickly master the RPA tool, and the tester can master the basic skill of automatic testing through simple training and practice; the RPA has a unique verification mode for the login system needing to be verified, targeted system verification can be carried out, and the login interface can obtain the token conveniently.

The utility model discloses a movable underground tunneling supporting device, which belongs to the technical field of coal mine tunneling supporting devices and comprises supporting vertical plates oppositely arranged on two sides, the upper ends of the supporting vertical plates on the two sides are detachably connected with supporting semi-arc plates, and the bottoms of the supporting vertical plates on the two sides are detachably connected with universal wheels. Fixing assemblies are installed at the bottoms of the supporting vertical plates on the two sides, the supporting device is fixed to the original position through the fixing assemblies, inner concave faces are arranged on the outer walls of the supporting semi-arc plates on the two sides, semi-arc air cushions are detachably connected to the interiors of the inner concave faces on the two sides, air exists in the arranged semi-arc air cushions, the surfaces of the semi-arc air cushions are stressed and deformed when broken stones fall down, and therefore the broken stones are prevented from falling off. Large resilience force cannot be generated, impact force of broken stones can be buffered and then fall down towards the two sides, and therefore the situation that workers are injured due to the fact that the broken stones bounce up can be avoided.

The invention discloses a flue gas cloth bag dust removal system and method based on automatic control, the flue gas cloth bag dust removal system comprises a dust removal body and a control system, the dust removal body comprises a middle box body, the bottom of the middle box body is provided with a dust hopper, the top of the middle box body is provided with two injection bins, the injection bins are connected with a gas distribution box through pulse valves, and the gas distribution box is provided with a gas inlet; the inlet end of the gas distribution box is connected with external compressed air, the inlet end of the middle box body is connected with dust-containing flue gas, and the outlet end of the middle box body is connected with a chimney; the control system comprises an environment monitoring module, a data acquisition module, a data analysis module, a fault early warning module, a man-machine interaction module and an intelligent control module which are connected in sequence, man-machine interaction is achieved through the man-machine interaction module and the intelligent control module, and dust removal control is achieved. According to the invention, an automatic, modularized, high-precision and low-power-consumption bag-type dust removal system is formed, and the dust removal efficiency is improved.

The invention belongs to the technical field of unmanned aerial vehicle intelligent traffic, and discloses a road event identification method and system based on an unmanned aerial vehicle real-time video stream. The method comprises the following steps: marking vehicles in collected unmanned aerial vehicle images, and training an accumulated unmanned aerial vehicle vehicle marking data set by using a YOLOv8 algorithm; the trained YOLOv8 model is applied to a real-time video collected by an unmanned aerial vehicle for vehicle identification, and position information of a vehicle in an identification video frame is intercepted; determining a driving area and a driving direction of the vehicle based on vehicle movement data in two unmanned aerial vehicle pictures which are associated front and back in the video; the direction vector of the inspection center line is set as the forward advancing direction of the unmanned aerial vehicle, the included angle between the direction vectors of the vehicle driving on the left lane and the right lane is calculated in the same coordinate system, and the vehicle on the lanes is judged to move reversely according to the included angle. Compared with traditional ground individual road section arrangement monitoring and manual checking, the monitoring efficiency is greatly improved.

The invention discloses an ad hoc network communication method and device based on a soft bus in a power transmission line, all on-line monitoring devices are connected to form a chain-type ad hoc network based on the soft bus in a hardware layer, and each on-line monitoring device is a node; a node in the chained ad hoc network executes the following method: receiving a service request message broadcasted by a first neighbor node in the chained ad hoc network; sending a broadcast of a subscription service request message, creating a data communication link with the first neighbor node, and updating the information of the current node to link related information; receiving the service request message broadcasted by the first neighbor node again, judging whether the content of the service request message is consistent with the link related information or not, and if so, stopping sending the broadcast of the subscription service request message; and broadcasting the service request message, and initiating a path establishment request to a second neighbor node in the chained ad hoc network. An existing ad hoc network mode is simplified, and effective communication can be carried out between devices.

The embodiment of the invention discloses a video content risk detection method and device, a medium and equipment, and the method comprises the steps: firstly obtaining real-time video stream data, and extracting corresponding multi-modal detection data which comprises first information density data and second information density data of which the information density is greater than that of the first information density data; and then detecting the first information density data, determining a risk detection result, fusing the first information density data and the risk detection result into second information density data, and performing content decision on the fused second information density data to obtain a content risk decision result. According to the technical scheme, the multi-modal data is processed hierarchically through the information density, the detection efficiency of the risk content in the real-time video stream data can be effectively improved, and the risk detection timeliness is shortened; meanwhile, the repeated calculation amount of the high-information-density data in the content decision-making process can be reduced, and the content decision-making efficiency is improved.

The invention relates to the technical field of civil air defense engineering detection, in particular to a civil air defense engineering mouth site air tightness detection system and method, and the system comprises a reserved pipe which is arranged in an engineering mouth wall body and is used for communicating the spaces at the two sides of the engineering mouth wall body, and the two ends of the reserved pipe are provided with detachable plugs; the smoke generating device is used for inputting smoke into the mouth part of the civil air defense project through a reserved pipe outside the mouth part of the civil air defense project or generating smoke in the mouth part of the civil air defense project; the air pumping device is used for pumping air into the mouth of the civil air defense project through the reserved pipe outside the mouth of the civil air defense project; and the air pressure measuring device is used for measuring air pressure in the mouth of the civil air defense project in real time. According to the method, smoke is generated in the closed mouth of the civil air defense project and air inflation is carried out, so that the interior of the mouth of the civil air defense project reaches certain air pressure, whether the overall air tightness of the mouth of the civil air defense project is qualified or not is judged by observing the air pressure descending speed, and a specific leakage point is found by observing the smoke leakage position.

The invention relates to the technical field of data transmission monitoring, in particular to a data transmission monitoring method and system for a tin-containing sewage treatment unit. The method comprises the following steps: deploying a plurality of sensors in a sewage treatment unit, and respectively collecting tin ion concentration, pH value, ORP and conductivity information as sensor data by using the plurality of sensors; the sensor data are transmitted to a data collector through an RS485 bus, the data collector collects and caches all the sensor data at the frequency of 2-10 seconds per time, and the data are packaged and transmitted to an edge computing device through a Modbus RTU protocol; and carrying out working condition self-adaptive segmentation on the sensor data by utilizing edge computing equipment, and carrying out anomaly judgment to obtain the sensor data after anomaly judgment. The switching conditions of the pickling section, the neutralizing section and the settling section are dynamically judged through working condition self-adaptive segmentation, and it is ensured that the process operation is more accurate and efficient.

The invention provides a cache verification method based on a multi-core processor architecture, electronic equipment and a storage medium, the cache verification method comprises the following steps: aligning an address of a main memory according to an address of a cache unit, and allocating a space for the cache unit in the main memory; the allocation space of the cache unit is equally divided into a first part and a second part, a DMA controller is used for executing write operation on the first part, and meanwhile a CPU processor is used for executing write operation on the second part; and comparing the current data in the allocation space to verify the consistency of the cache units. According to the method, testing and verification can be synchronously carried out in the initial stage of chip design, problems can be found more timely, the testing period is shorter, and the positions of the problems can be located more quickly; the test efficiency is higher, the problem is found more quickly, and the user experience is improved.

The invention discloses a device and a method for adaptively adapting a cloud platform to a domestic AI accelerator card, belongs to the technical field of cloud computing and artificial intelligence, and aims to solve the technical problems of how to realize rapid integration and deployment of the domestic AI accelerator card by the cloud platform, improve the flexibility and expandability of the cloud platform and further better meet diversified AI computing requirements. According to the technical scheme, the device comprises a script tool set, a resource management module, an adaptation task management module, a data storage module and an adaptation analysis module; wherein the script tool set integrates a CPU and a script tool for identifying, sensing, driving and monitoring physical machine accessories of a domestic AI acceleration card, and is used for automatically realizing hardware identification, driving installation and hardware state monitoring functions according to the characteristics of hardware; and the resource management module is used for realizing platform access of the AI server and management of the domestic AI acceleration card, and monitoring states and loads of the nodes and the AI acceleration card in real time.

The invention relates to the technical field of wireless communication, and discloses a mobile ad hoc network service function chain arrangement method, device and system and a storage medium, and the method comprises the steps: obtaining an arrangement request and a starting node; wherein the arrangement request comprises a plurality of entities; inserting the starting node into the head of the arrangement request to obtain a preprocessed arrangement request, and dividing the preprocessed arrangement request into a plurality of node-entity anchor point pairs; capturing topology dynamics in the mobile ad hoc network based on a time-limited recursive topology discovery protocol; utilizing the topology dynamic to construct a network forest map; and based on the network forest map, determining an optimal segment corresponding to each node-entity anchor point pair by taking the sum of the communication cost and the performance cost as a target, and connecting the optimal segments to obtain an optimal service function chain. The method can be used for functional arrangement of the mobile self-organizing nodes with heterogeneous functions in an infrastructure-free environment (such as a field area without a base station).

The invention relates to a redundant code identification method and device, computer equipment and a readable storage medium. The method comprises the following steps: acquiring a compiled initial hardware description language code, compiling the initial hardware description language code, performing code rule check on the compiled initial hardware description language code, performing simulation analysis and code coverage rate analysis on the compiled hardware description language code, and performing simulation analysis and code coverage rate analysis on the compiled hardware description language code. And identifying and marking the uncovered target hardware description language codes, identifying redundant codes in the target hardware description language codes according to the marking information of the target hardware description language codes, and processing the redundant codes. By adopting the method, the redundant codes can be effectively identified and processed, the code quality and the system performance are improved, and the reliability and maintainability of the system are enhanced.

The embodiment of the invention provides a topology network updating method and device, a storage medium and electronic equipment, and the method comprises the steps: scanning a first extension cabinet controller, and enabling a first extension cabinet corresponding to the first extension cabinet controller to comprise a plurality of NVMe devices; under the condition that the first expansion cabinet controller is scanned, controller information of the first expansion cabinet controller is obtained through an information interaction instruction, and the information interaction instruction is an NVMeMI instruction; and under the condition that the controller information is received, determining that first network connection between the control cabinet controller and the first extension cabinet controller has been successfully established, and updating a topology network corresponding to the control cabinet controller according to the first network connection, the topology network comprises a second network connection between the control cabinet controller and a plurality of second expansion cabinet controllers.

The invention relates to the field of astronomy transient source recognition combining astronomy and artificial intelligence, and when a transient source recognition task in mass data shot by a large-view-field high-sampling-rate telescope is carried out, an existing method generally uses a single classification model only depending on image data and is difficult to deal with complex and changeable data. The invention provides an astronomical transient source identification method for dynamically updating a multi-modal model. The method comprises the following steps: constructing the multi-modal model for classification by combining image data, a point spread function and physical information; and in combination with manual examination, selecting samples with wrong classification and possible transient source candidates, storing the samples and the possible transient source candidates as a new sample set, injecting the new sample set into the original training set, and loading the weight of the last training for retraining, so that dynamic adjustment and optimization of the model are realized. The method can effectively cope with mass data generated by a telescope with a large field of view and a high sampling rate, and ensures that the model always keeps efficient and accurate recognition performance under a complex background and weak signals.

The present invention discloses a method, device and storage medium for detecting and tracking birds in a substation based on deep learning. The method comprises: obtaining real-time monitoring video images near the substation; using a deep learning method to identify birds in each video image; performing multi-target tracking on all bird entities identified in the video image; performing single-target tracking on each bird in the video image; calculating the safe distance of each bird according to the coordinate interval of each bird on the most recent frame of the video image and the coordinate interval of the nearest substation equipment on the most recent frame of the video image; if the future flight distance of the bird on the image video exceeds the safe distance of the bird, the current bird is determined to be an expulsion target bird, and the video image with the expulsion target bird marked is sent to an alarm device, and an expulsion instruction is sent to an expulsion device; when the portion of the area occupied before and after the expulsion is reduced exceeds a threshold, the expulsion is determined to be successful. The present invention has high tracking accuracy and tracking speed.

The invention discloses a bidding and tendering data screening recommendation method, and relates to the technical field of data governance and large model application. Comprising the steps of (1) collecting bidding and tendering data, (2) preprocessing the bidding and tendering data, (3) carrying out keyword extraction on the preprocessed bidding and tendering data, (4) constructing a business opportunity evaluation model, and (5) recommending bidding and tendering projects with higher scores to enterprises and providing project analysis reports according to scoring results of the business opportunity evaluation model. And 6, monitoring the found bidding and tendering project in real time, obtaining the latest progress and change information of the bidding and tendering project in time, and dynamically adjusting the evaluation result.

The invention belongs to the field of information management, and particularly relates to a cross-domain data set fault migration health state recognition method, which comprises the following steps: data acquisition: acquiring a cross-domain data set from a plurality of data sources for cleaning and feature extraction of the acquired data; a deep learning model is constructed, and faults in the cross-domain data set are identified; constructing a graph neural network model, and evaluating the health state of the cross-domain data set; monitoring the state of the cross-domain data set in real time, and triggering an alarm when a fault is detected; and determining the specific position and type of the fault through probability distribution output by the model.

The invention relates to a shopping center shop recommendation method and device, equipment and a medium, and the method comprises the steps: predicting interested shops of a target old user in a current time period through employing a long and short-term memory network model trained by user behavior time sequence data, adopting a preset collaborative filtering algorithm to calculate and determine a second similarity between the target old user and other users according to the interested shops of the target old user in the current time period, so as to determine neighbor users of the target old user; predicting an estimated score value of a target old user for an unscored shop according to the score value of the neighbor user for each shop, and calculating and determining a second recommendation degree corresponding to each shop according to the estimated score value, the actual distance between the target old user and the shop and the comprehensive recommendation value, and displaying each shop to a user interface of the target old user according to the second recommendation degree from high to low so as to complete shop recommendation of the shopping center. According to the invention, the traffic and user stickiness of a shopping center can be improved.

The utility model discloses a moving-detecting-repairing integrated robot laser cladding system which comprises an upper computer, a robot laser cladding system, an automatic guided vehicle cooperative moving system and a measuring system, wherein the robot laser cladding system, the automatic guided vehicle cooperative moving system and the measuring system are respectively connected with the upper computer; the robot laser cladding system comprises a laser, a powder feeder, a water cooling machine, a mechanical arm system and a cladding head; the automatic guided vehicle cooperative moving system comprises a plurality of automatic guided vehicles; the laser, the powder feeder, the water cooling machine and the mechanical arm system are transferred to a site through the automatic guide vehicle; the cladding head is arranged on the mechanical arm system, the laser is connected with the cladding head through a laser optical cable, the powder feeder is connected with the cladding head through a powder feeding pipe, and the water cooling machine is connected with the cladding head through a water inlet pipe and a water outlet pipe to form a cooling loop. According to the system, large workpieces do not need to be carried, cooperative movement of multiple devices can be achieved, and the workpieces to be repaired can be repaired on site; stations are convenient to move, and the working space is not limited; the detection system is high in speed, low in cost and high in precision.

The invention discloses a power transmission part fault identification system based on deep learning, which comprises a data acquisition module, a data preprocessing module, a feature extraction module, a model training module, a fault identification module, a fault diagnosis module and a system optimization module, and is characterized in that the data acquisition module collects data from a sensor in a power transmission system; the data preprocessing module processes the collected original data; the feature extraction module extracts features from the preprocessed data; the model training module uses the preprocessed data and the extracted features to train a deep learning model; the fault identification module carries out fault identification on the real-time data of the power transmission system; the fault diagnosis module carries out fault positioning and reason analysis; and the system optimization module continuously optimizes the whole fault identification system. According to the invention, identification and diagnosis of faults of power transmission parts are realized, and solid technical support is provided for safe and stable operation of a power system.

The invention discloses a method and a tool for automatically analyzing a test log, and the method comprises the following steps: collecting test data, cleaning the data according to a parameter label, then storing the cleaned data in a database, carrying out the flexible configuration based on a multi-scene test log rule, precisely positioning a test log problem based on the cleaned data, and carrying out the visual display and report generation. An advanced log analysis algorithm is utilized to automatically analyze and classify log data generated in the test process, problems and abnormities in the test process can be automatically positioned by identifying key information and error features in logs, meanwhile, the invention further provides an automatic test log analysis tool, and the automatic test log analysis efficiency is improved. The tool supports real-time processing and transmission of log data, has a powerful data visualization function, can help testers to quickly discover and solve problems, and can greatly improve the efficiency and accuracy of test log analysis, reduce the test cost and improve the software quality.

The invention relates to the field of combustion power plants, in particular to a coal-fired power plant waste heat utilization device which comprises a reaction tank and a heating tank, an auxiliary assembly is fixedly installed outside a connecting pipe, and the auxiliary assembly is located between the connecting pipe and a detection assembly. The desulfurization assembly is arranged, the one-way gas inlet valve is opened, then waste gas subjected to primary desulfurization is guided into the reaction tank along the flow guide pipe, lime water is contained in the reaction pipe, the lime water makes direct contact with acid gas, a neutralization reaction is carried out, harmless neutral salt particles are generated, and the purpose of waste gas purification is achieved; when waste gas enters the reaction tank along the flow guide pipe, generated airflow pushes lime water to flow, the vortex blades on one side are pushed by utilizing generated flowing force, so that the vortex blades rotate along the rotating rod, and in the rotating process, the lime water can be stirred, so that the lime water is uniformly distributed, and the purification effect on acid gas is improved.

The invention relates to the technical field of magnesium alloy bone nails, and discloses a magnesium alloy bone nail convenient to install, the magnesium alloy bone nail comprises a bone nail and a steel plate, nickel-titanium alloy is arranged on the outer side face of the bone nail, the nickel-titanium alloy has a shape memory effect and superelasticity, and the bone nail comprises a middle section structure, a tail end structure, a front section structure and a tip end; the steel plate comprises a device shell, a connecting hole is formed in the device shell, a spring damper and a spring damping device are fixedly connected to the inner wall of the connecting hole, a rotating shaft is fixedly connected to the side face of the spring damping device, a connecting plate is rotationally connected to the rotating shaft, and a connecting clamping plate is fixedly connected to the side face of the spring damper. The connecting clamping plate is movably connected with the device shell; the device is provided with a connecting plate, a connecting clamping plate, a spring damper, a rotating shaft and a spring damping device, looseness can be avoided during bone nail installation, the accuracy and stability of installation are improved, and the discomfort of a patient and the examination frequency can be reduced by arranging an intelligent monitoring system.

The invention belongs to the technical field of unmanned aerial vehicle fault diagnosis, and particularly relates to a fault detection and diagnosis method based on unmanned aerial vehicle data, which comprises the following steps: S1, initializing a system model, defining a state space model 1 and a state space model 2, including no fault, fault 1 and fault 2, and analyzing the specific influence of each fault on the flight performance of an unmanned aerial vehicle; s2, constructing a Hankel matrix, collecting input and output data in normal flight and various fault states of the unmanned aerial vehicle, determining the length and QdF degree of the Hankel matrix, and respectively constructing input and output Hankel matrixes of normal flight and fault flight; s3, dissipation shaping is carried out, it is ensured that the system has dissipation performance during normal flight, the dissipation performance is designed so that the dissipation performance of the system can be damaged when a specific fault occurs, and the supply rate and a coefficient matrix of the storage function are calculated. The method can solve the problem that a large amount of data and complex calculation are needed in the prior art, and can quickly and accurately detect and diagnose potential faults in an unmanned aerial vehicle system.

The present invention provides a project monitoring method, system, terminal device and computer-readable storage medium, including: obtaining at least one milestone and dynamic attribute information of a project to be processed; wherein each milestone includes at least one event; respectively obtaining the association relationship between each event and the dynamic attribute information; based on the dynamic attribute information associated with each event, monitoring the project to be processed to obtain a project monitoring result. The present invention can significantly improve project management efficiency, enhance the timeliness of perceiving project problems, and effectively improve user experience.

The invention relates to the technical field of fly ash efficient and energy-saving processing, and in particular to a fly ash crushing and processing device; comprising a fixed seat; round tubes are installed on the left and right sides of the fixed seat, a material guide tube is commonly arranged below the round tubes, and the material guide tube is connected to the two round tubes, a plurality of support legs are evenly arranged on the material guide tubes, a No. 1 grinding mechanism is arranged in the round tube on the left, a No. 2 grinding mechanism is arranged in the round tube on the right, and a driving mechanism is arranged on the fixed seat; the invention solves the main problem in the current fly ash raw material processing process that each raw material needs to be configured with independent processing equipment and production lines, which has high energy consumption and poor energy-saving effect, and increases the cost of equipment and the difficulty of maintenance. Secondly, when processing by two kinds of equipment, the control of the processing process needs to be carried out separately, and the cross-equipment operation mode will lead to an increase in the operation steps and the probability of errors, low processing efficiency, and increased difficulty and complexity of operation.