16results about How to "Quick discovery" patented technology

The application discloses a kind of impersonation user information identification method and system, it is related to information identification technical field.The method comprises the following steps: obtaining suspect user information, then pre-processing suspect user information, obtaining suspect user data, further matching all the user data to be protected in the preset protection library with suspect user data, descending order sorting is carried out to all the user data to be protected according to the matching result, and the user data to be protected sorting data is obtained, finally, based on the preset recall strategy and the user data to be protected sorting data, the user data to be protected is filtered, the user data to be protected that meets the preset requirement is recorded as filter user data, and the user information corresponding to the filter user data is output as impersonated user information, effectively solve the technical problem that the identification efficiency is low when the existing technology identifies suspect user information (impersonate nickname and / or avatar).

The application discloses a multi-unmanned aerial vehicle cooperative search method based on a memory-enhanced artificial honeybird algorithm, and the method comprises the following steps: a mixed space environment model containing a continuous dynamics domain and a discrete probability perception domain is constructed; environment information of neighbor nodes is acquired through an established local data link, a local map fusion strategy based on a clearance priority principle is adopted, and a local discrete probability grid map is updated; the output local discrete probability grid map, output distributed dynamic communication topology and current unmanned aerial vehicle state are taken as inputs, a multi-target fitness function is constructed, a memory-enhanced MA-AHA path planning algorithm is executed, and an optimal navigation target point is generated; the optimal navigation target point is converted into a speed control instruction to drive the unmanned aerial vehicle to move; and when it is detected that the unmanned aerial vehicle appears in a motion deadlock, a multimode deadlock recovery mechanism is used to correct the speed instruction. The application can significantly reduce the average flight path length of the unmanned aerial vehicle group and effectively save the energy consumption of maneuvering.

The invention discloses a radar resource scheduling method based on stacked beams, and the method comprises the steps: determining radar parameters, and an azimuth angle range and a pitch angle range which need to be scanned according to a plurality of target tasks; further determining the number of azimuth wave positions and the number of pitching wave positions; determining a plurality of pitching wave position piles corresponding to each azimuth dimension according to the number of the pitching wave positions and a preset number; based on the attribute information and the mapping relationship of each target task, aggregating a plurality of target tasks corresponding to the same azimuth dimension according to a pitching wave position pile to obtain a plurality of aggregated task packets corresponding to each azimuth dimension; and scheduling a target aggregation task packet from the plurality of aggregation task packets corresponding to each azimuth dimension, and carrying out parallel processing on a plurality of target tasks in the target aggregation task packet. According to the method, the searching and scanning time can be greatly shortened, and rapid discovery and response to high-speed and high-maneuvering targets and sudden threats are realized; the multi-task robustness of a radar system can be improved in a high-density target environment.

The application relates to the technical field of intelligent water and fertilizer allocation, and discloses a mineral fertilizer intelligent allocation control method for water and fertilizer integration. The method comprises the following steps: collecting real-time data of soil humidity, pH value and nutrient concentration through a wireless sensor network, and synchronously acquiring precipitation, air temperature and light intensity data of a remote meteorological server; combining environmental data and a crop growth calendar to construct a soil nutrient consumption simulation model; after being corrected according to real-time monitoring data, generating a farmland nutrient deficiency distribution map by using a geographic statistics method; inputting the map into a fertilizer recommendation algorithm to calculate the application amount per unit area, and simultaneously analyzing the trends of the two types of data to identify abnormal fertilization; when the application amount exceeds the safe range, triggering multi-level alarms and adjusting the amount of fertilizer to be put according to the abnormal results. The method is suitable for the dynamic changes of soil and environment, and realizes intelligent and accurate fertilizer allocation.

The invention relates to but not limited to the technical field of probiotic fermentation equipment, and discloses probiotic fermentation amplification equipment and method.The probiotic fermentation amplification equipment comprises a base, a barrel body arranged on the top of the base, a feeding pipe arranged on the outer side of the barrel body, a hollow top cover arranged on the top of the barrel body and a wave making pump arranged on the inner side of the base; the sampling unit is used for collecting a probiotic fermentation liquor sample in the barrel body. According to the probiotic fermentation amplification equipment, through cooperation of the sampling pipeline and the sampling holes, when sampling is needed, fermentation liquor in the sampling pipeline is sucked into the sampling holes, the driving assembly drives the rotating ring to rotate to switch the sampling holes in butt joint with the sampling pipeline, and the fermentation liquor in the sampling pipeline is sucked into the other sampling hole; the different sampling holes are used for containing different layers of fermentation liquor in the sampling pipeline, so that fermentation liquor samples in each area can be obtained, and an enforcer can judge the fermentation liquor in the barrel body more accurately.

The invention relates to the technical field of generator excitation simulation, and discloses an RT-LAB-based generator excitation small signal semi-physical simulation method and detection system, and the simulation method comprises the following steps: building a single machine infinite bus simulation system and a generator excitation system model in RT-LAB software; a semi-physical simulation platform loaded with RT-LAB software is electrically connected with the AVR excitation regulator through a conversion card; based on the generator excitation system model established in RT-LAB software, determining the optimal working parameters of the PSS of the AVR excitation regulator; and based on the optimal working parameters of the PSS of the AVR excitation regulator, adjusting the control parameters of the single-machine infinite-bus simulation system and the generator excitation system model so as to evaluate the response performance of the AVR to various generator faults. According to the method, a small signal model is built through RT-LAB, and the test accuracy is ensured by utilizing the real-time capability of the step length of 15 microseconds.

The application relates to an emergency communication terminal and a positioning alarm device. The positioning alarm device comprises a shell, a movable support and an alarm arranged on the movable support. The shell is provided with a containing cavity, and the movable support is arranged in the containing cavity in a compressed mode. When emergency supplies are thrown on the ground, the movable support is stretched, at least part of the movable support can be stretched out of the containing cavity, so that the movable support is switched from the compressed mode to the stretched mode, the height of the alarm relative to the ground is increased, the alarm signal emitted by the alarm is easy to be found by disaster victims, the disaster victims can quickly find and obtain the emergency supplies thrown on the ground, and the influence of the alarm caused by complex terrain and vegetation sheltering is reduced.

The present application relates to the technical field of equipment maintenance, in particular to a pulp and paper making equipment maintenance management method and system based on industrial internet, comprising: obtaining equipment number and networking information of each pulp and paper making equipment, the networking information including connected information or unconnected information; selecting all pulp and paper making equipment with connected information from all pulp and paper making equipment according to the networking information of all pulp and paper making equipment, and taking the pulp and paper making equipment with connected information as monitoring objects; sorting all monitoring objects according to the equipment number to obtain equipment collection sequence. The present application can realize real-time collection of running data of each pulp and paper making equipment, so as to understand the working state of the equipment in time, ensure that the problems can be found and handled quickly, and intelligently judge whether there is maintenance demand through real-time health characteristics of the monitoring objects, so as to realize targeted maintenance.

The application provides a root cause model analysis method in a micro-service system, and belongs to the technical field of cloud computing. It solves the problems of low accuracy for developers and the like in the existing method. The root cause model analysis method in the micro-service system comprises the following steps: step S5: collecting distributed tracking log data of a target system, constructing through the distributed tracking data, and determining a potential abnormal node; step S6: collecting logs of the target system, processing the logs, extracting events and parameters, and determining an abnormal event; and step S7: performing fault root cause analysis processing based on the potential abnormal node and the abnormal event, and obtaining an analysis result. The application has the advantages of simplifying the operation and maintenance cost of positioning the root cause of faults in the micro-service system, enabling operation and maintenance personnel to more quickly find the root cause existing in the system and the like.

The application discloses a kind of based on network data snapshot visual tree layout method, belong to data visualization technical field, including the following steps: obtaining the tree structure data of network data default snapshot;According to tree structure data, the total row number, total column number, the row number and length of non-leaf node, the position of leaf node of visual tree are calculated;According to the tree structure data obtained in S1 and the data calculated in S2, the position of non-leaf node of visual tree is calculated;According to the position data of leaf node in S2 and the position data of non-leaf node in S3, tree type visual view is drawn, the tree structure data of network data default snapshot is traversed in the application, and the length, row number and column number of leaf node and non-leaf node are calculated, the position of leaf node and non-leaf node is obtained, and compact, symmetrical, non-overlapping visual tree can be generated layout, can be more intuitive and in-depth to understand data, quickly discover and mine effective information, greatly improve work efficiency.

This application relates to the field of vehicle safety emergency equipment technology, specifically to a magnetically attached vehicle-mounted window-breaking life-saving device. It includes a mounting base and a window-breaking component; the mounting base, for fixed installation at a predetermined location inside the vehicle, includes a first connecting portion and a suspension connector connecting the first connecting portion; the window-breaking component has a second connecting portion; the first connecting portion and the second connecting portion are detachably connected by magnetic attraction; the window-breaking component has a window-breaking actuator for breaking the vehicle window. This window-breaking life-saving device achieves stable installation and instantaneous retrieval through magnetic connection, greatly improving the speed of retrieval in emergency situations.

The invention discloses an identity information acquisition method, a first device, a chip and electronic equipment, and belongs to the field of processors. The method is executed by a first device, the first device is an internal device of a host system or an external device connected with the host system, and the method comprises the following steps: in a link training process of the first device and a second device, performing information exchange with the second device based on first identity information to obtain second identity information of the second device; and after the drive program of the first device is loaded, responding to a query operation of the drive program, and feeding back second identity information of the second device to the drive program. According to the method, information exchange is carried out on the identity information distributed for the equipment after the host system is powered on in the link training process, so that the identity information of the second device can be quickly inquired after the driver is loaded.

The invention discloses a jet fire extinguishing system for a tunnel. The jet fire extinguishing system comprises an image detection assembly, an on-site fire fighting assembly, an evacuation alarm assembly and a decision control assembly. The image detection assemblies are distributed in the tunnel and used for generating image signals in the tunnel in real time; the field fire-fighting assemblies are distributed in the tunnel and used for outputting fire extinguishing liquid into the tunnel after entering a starting state; the evacuation alarm assembly is used for executing an evacuation alarm task after entering a starting state; the decision-making control assembly is in signal connection with the image detection assembly, the field fire-fighting assembly and the evacuation alarm assembly; the decision control assembly is used for reading the image signal and performing fire judgment based on the image signal; and when the judgment result of the fire judgment is that fire is determined, the evacuation alarm assembly is controlled to start in real time, and the on-site fire-fighting assembly is controlled to start in a delayed manner. According to the invention, the discovery speed of fire in the tunnel can be increased, and cooperative operation of evacuation and fire extinguishing after fire is achieved.

The utility model discloses intelligent pipeline defect repairing device, the utility model relates to pipeline repair technical field. Including installation base, be provided with the processing mechanism for pipeline defect repair on the installation base, and processing mechanism includes: installation component, including the upper end surface of installation base is provided with the support frame through the opening and closing component connection, the upper end of support frame is opened and has the V type groove, the utility model reaches the repair position accurately through the telescopic amount of control electric push rod, carries out the welding repair work, integrates the camera of detection and the welding gun function of repair on the same device, realizes the collaborative operation of function through the structure such as connecting ring, gear component and electric push rod, can immediately carry out the repair after detecting the defect, need not to replace the equipment or readjust the position, greatly shorten the time of pipeline repair, improve the work efficiency, simplify the operation process simultaneously, reduce the manual operation cost.

The application discloses an intelligent industrial auxiliary design system and method based on virtual-real fusion, and belongs to the technical field of cross of artificial intelligence and material science. The system comprises a data layer, a model layer, a decision layer, an execution and verification layer and an application layer. The data layer is used for constructing and managing a hybrid material data set combining physical experimental data and generative virtual data. The model layer is integrated with an agent prediction model and a microstructure generation model, the former being used for predicting organizational features and uncertainty, and the latter being used for generating virtual data conforming to physical laws. The decision layer intelligently recommends the next batch of experimental conditions through a collection function based on uncertainty. The execution and verification layer drives physical experiments and feeds back verification data. The application layer provides visual analysis, optimal process window recommendation and data management functions. The levels cooperate to form an intelligent closed loop of "directional design-experimental verification-model optimization", and through active learning, the optimal process window of the material is quickly found at a minimum experimental cost.

The invention discloses an agent discovery method and system and an agent calling method and system based on an AIAgent DNS (Domain Name Server). The discovery method comprises the following steps: receiving a request containing a query intention text by an AIAgent DNS server, vectorizing the request, performing semantic matching in a pre-stored agent vector database, and returning an address of a matched agent; the calling method comprises the steps that a model browser client sends a user task to a large language model, receives and analyzes a structured query instruction generated by the large language model to obtain a query intention, requests an AIAgentDNS server and obtains an agent address, and then calls an agent service. According to the scheme, platform locking is avoided through decentralized registration, full automation from task planning to service calling is achieved through prompt word engineering and semantic matching, manual configuration is replaced, and efficient discovery and calling of massive agents are supported.