24results about How to "Grasp in time" patented technology

The invention relates to a UWB-based man-machine real-time positioning method in a long-distance tunnel hole. The method comprises the following steps: S1, collecting original ranging information of integrated signal characteristics; s2, correcting an original distance based on signal quality; s3, carrying out NLOS signal identification based on SVM (Support Vector Machine); s4, NLOS ranging error elimination based on an error distribution fitting model; s5, preliminarily resolving a tag position stake number; s6, label position correction based on Kalman filtering; and S7, determining a man-machine position based on label matching. According to the invention, the UWB positioning system is used for positioning and tracking personnel machinery in a hole, so that real-time transmission and analysis of man-machine position pile number information in the hole are realized, and management personnel can timely and accurately master man-machine operation positions; according to the man-machine real-time positioning method, the influence of the complex construction environment in the tunnel hole is reduced, and the man-machine positioning precision and stability in the tunnel hole are effectively improved.

The invention discloses a hotspot mining system and method based on Internet finance and economics information and a medium, and relates to the field of Internet finance and economics hotspot mining systems, and the system comprises an information collection module which collects finance and economics information in a multi-source manner, determines a collection period according to source characteristics, and carries out the screening and storage; the text preprocessing module is used for cleaning and analyzing texts, standardizing terms and carrying out classification labeling; the hotspot evaluation index calculation module is used for calculating indexes such as classification weighting, TF-IDF and the like; the hotspot mining and analyzing module is used for setting threshold mining hotspots, analyzing emotion and the like; and the visual display module is used for visually displaying the hot spots and supporting interaction and pushing. According to the invention, financial information is integrated, and hotspots are mined accurately. The information acquisition efficiency is improved, and decision-making investment and research are assisted. Information spreading is promoted, and financial field development is promoted.

The invention relates to an intelligent behavior analysis and anomaly detection system for Internet of Things security, which is applied to the technical field of Internet of Things security, and comprises a data acquisition module, a data preprocessing module, a behavior modeling module and an anomaly detection module, the data preprocessing module cleans the data, the behavior modeling module generates a vector sequence of equipment behaviors through feature embedding and position coding, and the anomaly detection module analyzes time sequence association of the equipment behaviors by utilizing a self-attention mechanism and a multi-head attention mechanism and judges whether the equipment has abnormal behaviors or not. The cooperative defense module realizes cross-device cooperative defense through an edge detection unit and a cloud analysis unit, and the threat intelligence sharing module realizes sharing and updating of threat intelligence through a local intelligence database and an external intelligence interface. And the response module carries out automatic defense and notifies a system administrator through the automatic defense unit and the alarm unit when an abnormity is detected.

The invention provides a missed detection insect compensation method and device for an insect radar and a medium, and belongs to the technical field of insect radars. The method comprises the following steps: step 1, constructing a migrated insect target characteristic model based on preset migrated flight characteristic data of actual migrated flight of insects; 2, constructing an insect detection quantity loss model based on the migrated insect target characteristic model, a preset pulse cancellation technology and a preset constant false alarm detection algorithm; 3, establishing a cost function corresponding to the insect flight speed estimation value according to the migrated insect target characteristic model and the insect detection quantity loss model, and performing missed detection insect quantity compensation based on the cost function; and 4, performing compensation simulation verification on the insect detection quantity loss model based on a preset simulation parameter and a cost function, and deploying the corresponding cost function and the insect detection quantity loss model to a user terminal after a corresponding quantity compensation error is smaller than a preset threshold value so as to perform missed detection insect compensation operation.

The invention provides a material box detection device, and relates to the technical field of silicon wafer processing. The material box detection device comprises a main body platform and a detection mechanism, wherein the main body platform is used for bearing a material box, and a detection channel is arranged on the main body platform; the detection mechanism comprises a touch part and a downward pressing assembly, the downward pressing part is movably arranged on the lower end face of the main body platform in the height direction corresponding to the detection channel, at least part of the downward pressing part penetrates through the detection channel to be exposed out of the upper end face of the main body platform, and the reset part is arranged between the downward pressing part and the main body platform and is in communication connection with an external display part. The downward pressing piece has a storage state and an idle state, and when the downward pressing piece is in the storage state, the downward pressing piece moves in the direction away from the main body platform and can trigger the touch piece, so that the touch piece sends a storage signal to the external display piece; and the material box is placed on the main body platform, so that the pressing piece is converted from the idle state to the storage state. According to the material box detection device, the containing condition of the material box on the main body platform can be timely and accurately mastered, and the feeding efficiency is improved.

The invention discloses a cloud platform monitoring system for corrosion of the outer wall of a long-distance heat supply pipe network and a using method, and belongs to the field of material corrosion protection research in a heat supply pipe network system.The cloud platform monitoring system comprises a long-distance heat supply pipe network cathode protection device, a cathode protection state monitoring device and a cloud platform monitoring module; the cathode protection device for the long-distance heat supply pipe network comprises a plurality of sacrificial anodes installed in a valve well along the heat supply pipe network; the cathode protection state monitoring device comprises a plurality of pipeline protection state monitoring devices, a pipeline potential monitoring cable, a reference electrode, a reference electrode testing cable and a cloud platform signal transmitting device; and the cloud platform monitoring module receives and displays the digital signal transmitted by the cloud platform transmitting device. According to the system, valve wells along the long-distance heat supply pipe network are used for implementing cathode protection, stray current corrosion can be avoided, and the protection state can be uploaded to a cloud platform in real time to be mastered by a user in time; excavation is not needed, and an anti-corrosion layer and a heat preservation layer are prevented from being damaged.

The application discloses a kind of high-altitude operation personnel rule violation identification method based on gesture capture, including the following steps: generating high-altitude operation image frame sequence;Scene reference reconstruction is carried out, and high-altitude operation scene reference data is generated;Personnel region anchoring is generated by carrying out human contour segmentation;Personnel gesture observation sequence is generated;Human posture capture is carried out, and operation personnel gesture joint sequence is generated;Gesture trajectory condenses, and personnel gesture trajectory data is generated;Coupling data of gesture boundary is obtained by gesture-boundary coupling projection;Using improved CleverCatch model, candidate rule violation data is generated;Temporal continuity verification and gesture stability check are carried out, and effective rule violation data is generated, and high-altitude operation personnel rule violation identification result is obtained, improve the accuracy and stability of high-altitude operation personnel rule violation identification, reduce artificial patrol omission and ordinary video identification false alarm.

The utility model relates to fire extinguishing equipment technical field, specifically is a simple fire extinguishing inspection robot, including moving mechanism, detection mechanism, water spraying mechanism and adjusting mechanism, through the smoke sensor and temperature sensor in detection mechanism real -time monitoring the smoke concentration and temperature of surrounding environment, camera and the picture shot real -time transmission to controller, and controller judges whether the fire disaster occurs according to the data transmission of detection mechanism, after controller determines that the fire disaster occurs, controller immediately controls moving mechanism and moves robot to the fire disaster position, and controller controls the water pump on water spraying mechanism and starts, and the water in water tank is transported to the spray head, secondly, controller controls the second motor and third motor on adjusting mechanism according to the picture shot of camera, adjusts the direction and angle of spray head, makes water be able to accurately spray to the fire source, guarantees the degree of automation of this robot fire extinguishing inspection work higher, is favorable for improving the work efficiency of the site fire extinguishing inspection.

The present invention discloses a control method of a DCS system for sponge titanium production, which relates to the technical field of sponge titanium production, including a horizontal tank, a reactor and a control computer. A high-level tank is installed on the right side of the horizontal tank through a pipeline, and a feeding pump and a feeding valve are installed in sequence between the horizontal tank and the high-level tank, and one side of the high-level tank is connected to an automatic feeding system through a pipeline. The control method of the DCS system for sponge titanium production mainly includes automatic control of the reduction process, automatic control of the distillation process, and automatic control of the cooling process; the reduction process can realize automatic feeding, automatic filling and discharge of argon gas, furnace temperature detection feedback and automatic control of the cooling fan and valve opening; the distillation process can realize automatic control of the water level and water volume of the cold end reactor, automatic opening of the vacuum system, automatic cleaning of the aisle pipe, and temperature setting and required time of each stage of distillation; the cooling process can realize automatic argon filling protection, automatic introduction of indirect water and direct water cooling, and automatic water discharge after cooling.

The invention discloses crop growth monitoring equipment and system, and belongs to the technical field of crop monitoring, the crop growth monitoring equipment comprises a square cylinder, the square cylinder is horizontally arranged on a rotating joint, a telescopic cylinder is arranged in the square cylinder, a sliding block is provided with a multispectral sensor and a high-definition camera, and a plurality of fixing rods are vertically arranged at the lower end of a base; the soil sensor and the fixing mechanism are arranged on each fixing rod. According to the crop growth monitoring equipment and system, a fixing rod is inserted into soil, at the moment, a limiting rod gets close to the fixing rod until the limiting rod completely enters the soil, in the soil, due to the effect of a spring, the limiting rod is pushed in the direction away from the fixing rod, and therefore the fixing rod becomes more difficult to move upwards; therefore, the stability of the equipment inserted into the soil is improved; the system can visually reflect the real-time state of crop growth, solves the problem of non-uniformity of the agricultural production environment, and analyzes the crop growth information through the Internet of Things monitoring system.

The invention discloses a method and a system for diagnosing the health state of an electromagnetic valve in a gas transmission station and a medium. The method comprises the following steps: acquiring electrical data and action environment data of a target electromagnetic valve in an action process in real time; constructing an electrical characteristic graph based on the electrical data after the external influence margin filling; and finally, performing fault analysis according to the electrical characteristic pattern to obtain a state diagnosis result of the target electromagnetic valve. Fault diagnosis of the electromagnetic valve can be achieved in time under the condition that a machine is not disassembled, meanwhile, external influence allowance filling is carried out on the electrical data based on action environment data, the action external influence factors of the current target electromagnetic valve are also considered in the working state of the target electromagnetic valve, the electrical data are more accurate, and the working efficiency of the target electromagnetic valve is improved. The accuracy of the state diagnosis result of the target electromagnetic valve is improved; in addition, the specific fault of the target electromagnetic valve is judged, and the fault position and the fault type can be mastered in time.

The invention relates to the technical field of geological disaster emergency, and discloses a geological disaster emergency evacuation path intelligent planning system based on edge calculation. The system comprises a terrain monitoring layer, a risk assessment layer, a path deduction layer and an evacuation control layer. The terrain monitoring layer collects a multi-dimensional terrain data flow of a disaster area in real time through an edge computing node; the risk assessment layer fuses the historical catastrophe model and the multi-dimensional topographic data flow to carry out geological stability calculation, and generates a dynamic risk distribution map; the path deduction layer generates an initial evacuation path network through a self-adaptive optimization algorithm in combination with the dynamic risk distribution map and a preset evacuation constraint condition; and the evacuation control layer converts the initial evacuation path network into a navigation instruction set and drives terminal execution equipment to implement evacuation guidance. According to the system, the terrain change of a disaster area can be mastered in real time, the risk is accurately evaluated, an evacuation path fitting the reality is generated, personnel evacuation is effectively guided, and the efficiency and safety of emergency evacuation of geological disasters are improved.

A method for recognizing helicopter flight actions based on flight parameters relates to the field of flight action recognition. The present invention is to solve the problems of low recognition accuracy and waste of resources in existing helicopter action recognition methods. The present invention includes: obtaining flight parameter data of a helicopter, and marking flight action labels for the flight parameter data; preprocessing the flight parameter data marked with flight action labels to obtain preprocessed flight parameter data; combining features of the preprocessed flight parameter data to obtain a feature data set, and dividing the feature data set into a training set, a verification set, and a test set; using the training set to train a BiLSTM‑gMLP deep neural network model; using the verification set and the test set to verify and test the trained BiLSTM‑gMLP deep neural network model to obtain a flight action recognition model. The flight parameter data to be identified is input into the flight action recognition model to obtain a recognition result. The present invention is used to identify helicopter flight actions.

The present invention relates to the field of data management technology, and specifically to a method and system for automatic data clustering management of public opinion events, the management method comprising the following steps: capturing public opinion event storage records; analyzing the event content of each public opinion event storage record to obtain the correlation between each public opinion event storage record; analyzing the timeliness feedback value of each public opinion storage record; constructing a timeliness feedback model and training the timeliness feedback model; analyzing user feedback on target storage records to calculate a real-time timeliness feedback value; extracting the event content of the target storage record to obtain the probability of subsequent generation of similar public opinion event storage records, and calculating the expected feedback value of the target storage record after a period of time; analyzing the actual timeliness feedback value of the target storage record to determine whether to issue an abnormal reminder for the expected feedback value of the target storage record.

The invention relates to the technical field of rotating part fault early warning detection, and particularly discloses a rotating part collision and abrasion positioning system and method. The positioning system comprises a first sensor and a second sensor which are arranged at two shaft ends of the rotating part, and a signal acquisition device, a signal analysis processing unit and a positioning identification system which are in signal connection in sequence; the first sensor and the second sensor are used for detecting stress wave signals of the rotating part in real time; the signal analyzing and processing unit is used for carrying out filtering and noise reduction processing on the stress wave signal output by the signal acquisition device and extracting a collision and abrasion characteristic signal; and the positioning identification system determines the position of the collision point relative to the first sensor / the second sensor according to the collision characteristic signal extracted by the signal analysis processing unit. According to the method, when the turbine machinery is collided and abraded, time and position information generated by collision and abrasion can be obtained in real time, so that early warning and positioning can be carried out on the turbine machinery at the early stage of dynamic and static collision and abrasion.

This invention relates to the field of lithium battery production control technology, and discloses a production control method for achieving efficient production of lithium battery cells. The method acquires batch characteristic data of lithium battery cells, including electrode material ratio characteristics and electrolyte composition characteristics; extracts a corresponding set of process parameter configurations based on the batch characteristic data; identifies key control nodes in the lithium battery production process based on the set of process parameter configurations, including material ratio adjustment nodes and process parameter switching nodes; calculates parameter deviation data in the production process based on the key control nodes, including cumulative deviations within the same batch and parameter jump values ​​across batches; and extracts a set of reusable process control parameters based on the parameter deviation data, including general process parameters and specific process parameters.

The invention relates to the technical field of Internet of Things and safety production monitoring, in particular to a safety production monitoring system and method based on Internet of Things equipment. Comprising Internet of Things equipment, a transmission architecture, a remote monitoring center, a safety report generation module and an alarm device, and the remote monitoring center comprises a data interaction user interface, an intelligent data analysis module and an intelligent data early warning module. By means of the monitoring system and the monitoring method, the real-time performance and the comprehensiveness of construction site monitoring are greatly improved, and more efficient, intelligent and stable monitoring and management are achieved.

The present invention discloses a prevention and control system for vector-borne infectious diseases based on a smart chip, which belongs to the field of disease prevention and control technology, and includes a data acquisition module, a data processing module, a model training module, a test optimization module, a prediction and evaluation module, and a prevention and control module. The present invention solves the problem that the existing situation of vector-borne infectious diseases cannot be grasped in time, resulting in the inability to effectively prevent and control vector-borne infectious diseases, resulting in poor prevention and control effects of vector-borne infectious diseases. The present invention collects real-time patient monitoring data in real time, processes the real-time patient monitoring data, determines patient monitoring feature data, predicts and evaluates the patient monitoring feature data based on a neural network model, determines the patient prediction and evaluation results based on the smart chip, and formulates an infectious disease prevention and control plan, which can grasp the situation of vector-borne infectious diseases in time, can effectively prevent and control vector-borne infectious diseases, and can improve the prevention and control effects of vector-borne infectious diseases.

The invention discloses a satellite flood detection method, device and equipment and a storage medium, and relates to the technical field of computers, and the method comprises the steps: obtaining the channel data of a satellite MERSI load; preprocessing the channel data, and constructing spectral features and remote sensing index features suitable for water body detection based on the preprocessed channel data; using a flood product loaded by a satellite MODIS as a truth value training sample, and training the spectral features and the remote sensing index features to obtain a naive Bayesian water body recognition model; after the trained naive Bayes water body recognition model is used for recognizing a water body, a spherical geometric model is used for removing cloud shadows in the water body, and a flood detection result is obtained.

The utility model discloses a leakage detection device for an air separation rectifying tower, which belongs to the technical field of air separation rectifying towers, and comprises a cold box and an air separation rectifying tower body arranged in an inner cavity of the cold box, air collecting pipes are arranged outside the air separation rectifying tower body, and the air collecting pipes are uniformly distributed outside the air separation rectifying tower body. When the air separation rectifying tower body works, if gas leakage occurs, the leaked gas rises to the position of the gas collecting pipe, and the gas enters the transmission pipe from the gas inlet and is transmitted to the detection position for transmission, so that the gas leakage of the air separation rectifying tower body can be mastered in time, the normal work of the air separation rectifying tower body is ensured, and accidents are avoided.

The present invention relates to an online evaluation method for load transfer capacity of airport rigid pavement joints, comprising: arranging accelerometers; fixing the accelerometers on the plate edges of cement concrete plates of airport rigid pavement; demodulating the measurement data of two accelerometers of adjacent plates on both sides of the joint based on a fiber grating demodulator to obtain plate edge vibration displacement data under dynamic load; calculating the maximum values ​​of left plate vibration displacement and right plate vibration displacement based on the plate edge vibration displacement data, and after screening the plate edge vibration displacement data, matching them according to spatial position and time window, recording aircraft passing events; deleting all data corresponding to unpaired aircraft passing events; calculating the joint deflection load transfer capacity in real time based on the retained data; and evaluating the capacity level of the joint deflection load transfer capacity based on the evaluation criteria. Compared with the prior art, the present invention has the advantages of high evaluation accuracy and good real-time performance.

This application discloses a method, apparatus, computer device, and storage medium for displaying medical information. The method includes: displaying a medical information query interface including a query object input box and a query result display area; and displaying medical information query results matching a target query object in the query result display area, wherein the target query object is the query object entered in the query object input box. When the medical information query interface is a medical knowledge graph query interface, the target query object is the medical entity to be queried, and the medical information query result is a matching medical knowledge graph that matches the medical entity to be queried. When the medical information query interface is a medical ontology graph query interface, the target query object is the medical concept object to be queried, and the medical information query result is a matching medical ontology graph that matches the medical concept object to be queried. This method enables the querying of medical information and enriches the types of medical information available for querying.

The invention discloses a geological disaster early warning emergency response management system, and belongs to the technical field of geological disasters, and the system comprises a data collection module which is used for collecting geological condition real-time data based on the Internet of Things; the data processing module is used for processing the geological condition real-time data based on the Internet of Things and determining geological condition feature data; the risk assessment module is used for performing risk assessment on the geological condition characteristic data and determining a geological disaster risk assessment result; and the emergency management module is used for carrying out early warning and emergency response management on geological disasters. The problems that the geological disaster response efficiency is low, the geological disaster early warning emergency response management effect is poor and the life and property safety of people cannot be guaranteed due to the fact that real-time monitoring and early warning emergency response management cannot be carried out on geological disasters in the prior art are solved. According to the invention, real-time monitoring and early warning emergency response management can be carried out on geological disasters, the geological disaster response efficiency is improved, the geological disaster early warning emergency response management effect is good, and the life and property safety of people can be fully guaranteed.