42results about How to "Respond quickly" patented technology

The invention relates to the technical field of remote water meter abnormity early warning, and discloses a remote water meter abnormity early warning method and system based on historical water volume, and the method comprises the steps: dividing a user water meter into three classes A, B and C according to the installation time of the user water meter, and employing a differentiated abnormity detection strategy. For the A-type users, establishing a water consumption prediction model based on historical consumption data of the A-type users; for the B-type users, finding similar reference water meters from the A-type users by using a K-means clustering algorithm; and for the C-type users, monitoring whether the accumulated water consumption for continuous N days is completely equal or not after the C-type users are installed. After real-time usage data is obtained, usage deviations of various users are calculated respectively, if the deviations exceed a set threshold value, abnormal early warning is triggered, and the early warning level is dynamically adjusted according to the number of abnormal duration days. According to the method, technologies such as machine learning and clustering analysis are comprehensively utilized, a set of comprehensive, flexible and efficient water consumption abnormity early warning system is constructed, and the refinement and intelligence level of urban water supply management can be remarkably improved.

The invention provides a factory monitoring method and system based on digital twinning, belongs to the field of intelligent control, and solves the problems that video monitoring in a factory has a monitoring dead angle and also has a large amount of non-key information, and the monitoring efficiency is poor. If undifferentiated analysis is carried out on video data in real time, a large number of computing resources are consumed on meaningless data, and in addition, the problem that personnel video information and a digital twinborn model are difficult to fuse in video monitoring is solved. The method comprises the following steps: acquiring a manual control signal of operation equipment in a factory; based on the manual control signal, determining manual operation information currently implemented by an operator for the operation equipment; and deducing the current operation action of the operator in the digital twin model through the manual operation information so as to simulate the three-dimensional simulation dynamic effect of the operator corresponding to the operation action.

The invention relates to a risk behavior detection method and system based on the DLP technology, and the method comprises the following steps: building a user risk behavior monitoring model based on the DLP technology, and the user risk behavior monitoring model is used for collecting and monitoring user behavior data and IM communication software communication data; establishing a user risk behavior identification model through a machine learning technology according to user historical behavior data collected by the user risk behavior monitoring model, and monitoring daily operation behaviors of the user in real time; according to IM communication software communication data collected by the user risk behavior monitoring model, whether risk content exists in the IM communication software communication data or not is recognized through the NLP technology; and according to an output result of the user risk behavior identification model and risk content identified by the NLP technology, constructing a comprehensive risk assessment model, when a risk value output by the risk assessment model is higher than a preset value, giving a risk alarm, and automatically recording related data to provide evidence for subsequent investigation and auditing.

The application discloses an engine cooling liquid temperature control method and engine with an EGR system, which comprises the following four conditions: (1) determining the first linear interpolation number according to the octane number coefficient of oil products and the engine back angle strength coefficient, and using a larger engine load for interpolation; (2) determining the second linear interpolation number according to the ratio of the actual engine fire path torque to the requested fire path torque and the ratio of the requested fire path torque to the maximum torque of the engine, and using a smaller engine load for interpolation; (3) determining the third linear interpolation number according to the target EGR rate and the ratio of the actual EGR rate to the target EGR rate, and using a smaller engine load for interpolation; (4) determining the fourth linear interpolation number according to the intake air temperature and the vehicle speed, and using a smaller engine load for interpolation; the above four conditions are only executed in one of each control cycle. The application optimizes the target cooling liquid temperature control of the engine with the EGR system, and improves the stability.

The utility model discloses a pipeline desilting device for municipal engineering, and belongs to the technical field of pipeline desilting. The pipeline desilting device solves the problems that an existing pipeline desilting device is difficult to move smoothly in a pipeline, so that the efficiency of the whole desilting process is affected, the maintenance cost is high, and the maintenance process is complex. Comprising a drill bit, a spiral blade, a rotating shaft, a driving assembly, a hydraulic cylinder and a dismounting assembly, the spiral blade is fixedly connected to the outer circle face of the rotating shaft, the drill bit is fixedly connected to the end, away from the spiral blade, of the rotating shaft, and the output end of the driving assembly is fixedly connected with the rotating shaft; the fixed end of the hydraulic cylinder is fixedly connected to the dismounting and mounting assembly. The hydraulic cylinder can meet the requirement for continuously pushing the spiral blade and the drill bit to clean sludge, the dredging efficiency is improved, the mounting plate can meet the requirement for dismounting and mounting of the hydraulic cylinder, the maintenance process is simplified, and the maintenance cost is reduced.

The present invention provides a dialogue response creator for generating a dialogue response based on dialogue characteristics and relationships using a language model, the dialogue response creator storing one language model, response data generated by the language model reflecting dialogue characteristics of a speaker who has a dialogue with a user and a past dialogue made with the user, the data represents a response that the user can communicate to the speaker; and a processor that inputs, as first input data, real-time dialogue data including an ongoing real-time dialogue statement between the dialogue person and the user into the language model, and outputs, as first output data, the response data from the language model.

The invention discloses a transmission device of a self-locking electric actuating mechanism, and relates to an electric actuating mechanism. Comprising a worm arranged on a shell and driven by a motor to rotate; the worm gear is arranged on the output shaft in a sleeving manner and is meshed with the worm; the gear A is arranged on the output shaft in a sleeving manner and is in transmission connection with the worm gear; the planet carrier X is fixedly arranged on the output shaft in a sleeving manner; the planet carrier X is provided with a first gear C which is rotatably arranged, and the planet carrier X is driven to rotate through meshing of the gear A and the first gear C, so that the output shaft is driven to rotate; according to the scheme, by means of the self-locking performance of the worm and gear pair and the planetary transmission mechanism, the motor shaft and the hand wheel of the electric actuating mechanism are effectively prevented from reversing, accidental injuries caused by following rotation can be avoided, and the valve can be accurately kept at the set position.

The invention discloses a control method and system for a variable frequency air conditioner with a humidity sensor, and the method comprises the following steps: S1, temperature and humidity data collection: collecting environment humidity data in real time at the frequency of 1-5Hz through the humidity sensor arranged on an indoor air return side, synchronously collecting indoor environment temperature data, and sending the indoor environment temperature data to a server; filtering, denoising and abnormal value removing processing are carried out on the collected temperature and humidity data, and the processed temperature and humidity data are transmitted to a control center. The humidity sensor collects data in real time and is combined with the temperature and humidity adaptive model, so that temperature and humidity collaborative precise adjustment is achieved, the comfort degree problems of high humidity, stuffiness, low humidity, dryness and the like caused by only temperature control of a traditional air conditioner are solved, dependence on an independent dehumidification module is not needed, operation energy consumption is effectively reduced, and the humidity adjustment response speed is effectively increased; meanwhile, fixed parameter control limitation is broken through, and the operation efficiency of the variable-frequency driving system is effectively improved.

The present application discloses an alarm system and method based on face recognition, and relates to the field of alarm technology of face recognition. The present application includes an information management module, a face recognition module, a tailing analysis module and an early warning terminal. By collecting and transmitting faces and personal information of campus personnel to various databases for storing facial feature values ​​and personal information, a face recognition machine identifies a target person, determines whether the target person has access authority, analyzes whether the target person is a blacklisted person, and determines whether a suspicious person has access authority. This solves the limitation problem in the current campus face recognition development feasibility analysis process. When the target person has authority, it checks whether there is a tailer in the video, and sends the tailer's feature value to the face recognition, thus realizing comprehensive and objective analysis of face recognition and providing an early warning function to ensure the safety of various places in the campus.

The invention provides a park environment abnormity coping method and system based on a machine learning model. According to the method, a water quality monitoring data set of a drainage network is obtained through a water quality monitoring sensor set, and the water quality monitoring data set is sent to a monitoring server, so that the monitoring server utilizes a preset park environment monitoring model; and determining a park environment state according to the water quality monitoring data set and a drainage network topology structure corresponding to the drainage network, and when the park environment state is an abnormal state, generating an abnormality coping instruction to instruct each electronic valve in the electronic valve set to perform corresponding operation. Therefore, the environmental state of the park can be monitored, and the water quality abnormity can be quickly responded and handled.

The present invention provides a fire sensing device for building fire protection, the fire sensing device being a first fire sensing unit, one side of which is directed to an indoor space of a building, which is attached to a ceiling of the indoor space, senses a fire in the indoor space, and when the fire is sensed, sprays fire prevention water supplied by a water spraying pipe provided in the building out of the indoor space; and a first fire detection unit which is attached to the other side of the first fire detection unit and detects a fire in a predetermined space (hereinafter referred to as a ceiling internal space) formed between the indoor space ceiling and the inner wall of the building ceiling. The fire in the ceiling internal space is detected by detecting whether a fire occurs in a specified space (hereinafter referred to as the ceiling internal space) formed between the indoor space ceiling and the inner wall of the building ceiling through a second fire sensing part for spraying the fireproof water provided by the water spraying pipeline out of the ceiling internal space. Therefore, the building can be safely protected from the influence of the fire hazard.

The present invention provides a system for supporting a security management service using AI vision and Internet of Things, comprising: a plurality of vision cameras for capturing an image of a security target area to which an ID is assigned; a plurality of Internet of Things devices located within the safe target area and sensing or detecting any of the following items: dynamic objects, static objects, temperature / humidity, gas, cracks, heat, vibration, dust, and electric waves; and the AI safety diagnosis management server is used for analyzing the risk degree of the safety target area based on the images shot by the plurality of visual cameras and the sensing information sensed by the plurality of Internet of Things devices, and providing a dangerous situation coping scheme conforming to the risk degree for a worker terminal located in or close to the safety target area.

The present invention relates to the field of deep learning artificial intelligence technology, and in particular to a post-disaster restorative maintenance decision-making method based on deep reinforcement learning. A post-disaster restorative maintenance decision-making method based on deep reinforcement learning provides an efficient and intelligent solution for post-disaster restoration of large-scale distributed cluster systems through the combination of complex network models and deep reinforcement learning algorithms. After an extreme event, the method can dynamically adjust the repair strategies of multiple maintenance teams to minimize the elasticity loss in the system recovery process, thereby achieving rapid and efficient recovery of the system and ensuring that the cluster system can resume normal operation as soon as possible after a disaster.

The invention belongs to the technical field of airplane coating repairing, and particularly relates to an airplane coating precision repairing method based on 3D visual data, which comprises the following steps: shooting a workpiece needing coating repairing to obtain an RGB image, and converting the RGB image into a point cloud picture; after the point cloud picture is processed, a 3D model of a workpiece needing coating repairing is obtained, spraying distance parameters are set, a robot track is generated, path simulation is conducted on the track, if simulation is free of interference, an online laser scanner is arranged to run according to the robot track, secondary detection and positioning are conducted on the surface of the workpiece needing coating repairing, and then the workpiece needing coating repairing is obtained. Acquiring spatial position data of a to-be-restored area; the industrial personal computer generates a robot path middle point according to the spatial position data of the area needing to be sprayed and associates the robot path middle point to an I / O control instruction of the robot; spraying parameters are input into the robot, after a robot motion program is generated, the complete robot track is simulated again, and if simulation is free of interference, the complete robot track is imported into a robot controller to execute spraying.

The invention discloses an electric energy meter fault discrimination method based on Deep-SVDD, and relates to the technical field of electric energy metering device fault identification, and the method comprises the steps: obtaining the data of each type of electric energy meter, and constructing a data set based on the data of the electric energy meter; constructing a first hypersphere Q1 based on the data set; adjusting the boundary of the first hyper-sphere Q1, and constructing a second hyper-sphere Q2; performing iterative correction on the second hyper-sphere Q2 to construct a third hyper-sphere Q3; measuring data of the to-be-detected electric energy meter are obtained, the measuring data are judged based on the third hypersphere Q3, a judgment result is obtained, and the problems that an existing electric energy meter fault judgment mode is low in interpretability, low in accuracy and high in computing power dependency degree can be solved.

The present application relates to the technical field of detection circuit suitable for various electric energy information collection terminals, and discloses a detection circuit method suitable for various electric energy information collection terminals. The method sets the ambient temperature, calibrates the shunt resistor and the thermistor, constructs a three-order resistance-temperature mapping relationship, and calculates the thermal resistance and the thermal response characteristics to realize accurate modeling. The thermistor is attached to the shunt resistor and forms a thermal coupling structure by adding heat-conducting silicone grease. The constant current source and the differential amplifier are used to collect voltage, convert resistance value to temperature in real time, calculate the instantaneous current based on the heat balance equation, and then complete energy integration and grade judgment to output various electric parameters. The method integrates modeling, collection, conversion and inversion processes, constructs a complete thermal-electric detection link, does not need traditional current sensors, has the advantages of compact structure, low cost, flexible deployment and the like, and is suitable for low-power distributed terminals.

The present invention relates to the field of file management technology, and in particular to a Hive small file management method, the method comprising: setting an initial cleaning cycle, regularly cleaning the generated small files to obtain regular cleaning results; real-time monitoring of the generation of small files, and determining whether the small files are abnormal based on the generation; determining the abnormality level of the small files based on the abnormality of the small files; determining a small file management strategy based on the abnormality level, and determining a management score based on running the small file management strategy; calculating an overall performance score based on the regular cleaning results combined with the management score; adjusting the initial cleaning cycle based on the overall performance score, or optimizing the management strategy. The present invention reduces the need for manual intervention, improves efficiency, avoids the accumulation of small files and performance degradation, and ensures the efficient operation of the management process through comprehensive management from regular cleaning to performance scoring to strategy optimization.

The embodiment of the invention relates to a security and protection method and device and electronic equipment. The method comprises the steps that a first security and protection video and predetermined security and protection preference information are acquired; identifying the first security and protection video to obtain a video identification result of the first security and protection video; based on the video identification result and the security preference information, determining a security response operation matched with the first security video to obtain a first security response operation; determining security equipment used for executing the first security response operation; and controlling the security equipment to execute the first security response operation. Therefore, various emergencies can be dealt with more quickly and accurately, false alarms and missing alarms are reduced, and the overall effectiveness of the security and protection system is improved.

The utility model relates to the technical field of root irrigation devices, in particular to an insect pest prevention liquid medicine root irrigation device for tobacco planting, which comprises a base, a vertical rod, a detachable battery mechanism, a root irrigation cylinder, a root irrigation mechanism and a conveying mechanism. A vertical rod convenient to move is arranged at the rear end of the surface of the base, a detachable battery pack mechanism used for supplying power to the device is arranged at the front end of the vertical rod, a positioning groove is formed in the center of the front end of the surface of the base, a root irrigation cylinder used for containing root irrigation liquid medicine is arranged above the positioning groove, and root irrigation mechanisms used for irrigating roots of tobacco leaves are arranged on the two sides of the root irrigation cylinder. A conveying mechanism used for conveying root irrigation liquid medicine is arranged between the root irrigation mechanism and the root irrigation cylinder. According to the utility model, the root irrigation mechanism is matched with the conveying mechanism, and the position of the hole pressing table can be flexibly adjusted according to the planting distance and growth state of tobacco leaves, so that the root irrigation requirements under different planting conditions are met, and the problems that the root irrigation structure of the traditional root irrigation device is fixed in distance and insufficient in flexibility are effectively solved.

The application discloses a site abnormality prompting device and detection method based on intelligent construction of intelligent construction site, relates to the field of site abnormality prompting, and comprises a spiral drill shell, an alarm mechanism is arranged in the spiral drill shell, a push-out mechanism is arranged on the side of the alarm mechanism, the spiral drill shell comprises a water leakage groove, a drill body, a water leakage port and a water outlet, the water leakage groove is used for receiving water leakage on the top, the drill body is used for fixing the whole device to the ground, the water leakage port is used for moving the water leakage tank, and the water outlet is used for conveniently draining water accumulated in the device, the flexible film, the information transmission block, the spring two and the wireless sensing block are arranged, when the information transmission block and the wireless sensing block are in contact, signal transmission is conducted on the wireless sensing block through radio waves, so that the monitoring room is alarmed, and thus, when water enters the device, the information transmission block is extruded, and the effect of alarming is achieved.

The invention discloses a fluid pressure and speed control method and system, and the method comprises the steps: carrying out the real-time monitoring of the pressure and speed of a fluid through a pressure sensor and a speed sensor, and obtaining the real-time pressure data of the fluid and the real-time speed data of the fluid; and historical injection molding data are called from the database. According to the invention, if the real-time pressure data and speed data of the fluid have relatively low similarity and matching rate with the parameter data with the maximum production efficiency of the injection product, optimization is needed, the opening degree of the valve is automatically adjusted through the controller, and the pressure and speed of the fluid are automatically adjusted, so that the requirements of workers are met, and the production efficiency of the injection product is improved. The response time is shortened, the real-time performance of the system is improved, the system can quickly respond to working conditions which change quickly, the adaptability and the flexibility of the system are enhanced, the system cost is reduced, the high-precision fluid control technology can be widely applied to various industrial production scenes, and the technical progress of related industries is promoted.

The utility model discloses an appliance for rapidly measuring the inner diameter of an auxiliary material plastic core for cigarettes, belongs to the technical field of inspection, and solves the problem of low efficiency of detecting the inner diameter of the plastic core in the prior art. The measuring instrument comprises a connecting rod, standard round blocks used for measuring the inner diameter of the plastic core are arranged at the two ends of the connecting rod, the standard round blocks and the connecting rod are detachably connected through hexagon socket screws, and telescopic measuring devices used for measuring different inner diameters are arranged on one side of the standard round blocks and one side of the connecting rod. The telescopic measuring device comprises a plurality of arc-shaped measuring blocks and a telescopic mechanism used for driving the arc-shaped measuring blocks to expand or contract, the telescopic mechanism is installed on the standard round block, and the arc-shaped measuring blocks are connected with the telescopic end of the telescopic mechanism. The device for rapidly measuring the inner diameter of the auxiliary material plastic core for the cigarette can rapidly detect the inner diameter of the plastic core used by lining paper and tipping paper materials, improves the working efficiency of workers and the defect detection rate, and has the characteristics of convenience in use and strong practicability.

The present invention discloses a guided touch screen game joystick, comprising a clip, wherein the upper end of the clip is integrally formed with a cavity, the upper part of the cavity is integrally formed with a spring guide slot with an opening facing downward, the inner side wall of the spring guide slot is slidably connected with a damping slider, a pressure spring is installed between the spring guide slot and the damping slider, the lower end of the damping slider is sleeved with a movable rocker connecting part, the top of the rocker connecting part is connected with a rocker operating disk through an upper cavity hole, and the lower end of the rocker connecting part is integrally provided with a spherical body. The present invention guides the pressure spring to perform up and down reset activities through the sliding guidance of the spring guide slot and the damping slider, avoids abnormal noise and jamming conditions, and swings and / or presses the rocker operating disk to achieve high-sensitivity touch screen of the spherical body, which is light and labor-saving to operate, with fast response, and can meet the user's usage needs and smooth operation.

The application relates to an AI-driven counterfeit website handling and fake label positioning method, and relates to the AI product anti-counterfeiting technical field. The method comprises the following steps: obtaining official domain name features and historical counterfeit domain name data, generating a list of potential counterfeit domain names based on an AI domain name prediction model, and collecting page data to be identified accordingly; using an AI multi-modal recognition model to extract and recognize data features, and obtaining an identification result containing a counterfeit type and a fake label code segment; according to the identification result and page access data, risk grading is performed through an AI decision model, and a corresponding handling process is triggered; in response to the scanning of fake labels, interactive reminders are provided on the verification page, and authorized location data is collected; the location data is analyzed by using an AI space clustering model, fake label circulation and fake production nest prediction information are generated, and clue data packages are output. The application can improve the identification accuracy and handling timeliness of counterfeit websites, accurately locate the source of fake label circulation, and realize dynamic adaptive anti-counterfeiting closed-loop management.

This invention relates to emergency reinforcement blocks, individual units, and emergency sparse-density reinforcement methods for beam fractures, belonging to the field of building structure technology. When beam components are subjected to heavy hanging loads or their function changes without design verification, there is a lack of quantitative emergency remedies for beam reinforcement. The invention utilizes a hollow steel box comprising a box body with multiple hollow holes for concrete pouring. The top of the hollow steel box has an arc-shaped notch, on which a recessed arc-shaped piece is integrally connected. The outer wall of the arc-shaped piece is an assembly wall. The top surface of the hollow steel box has two insertion ports, and multiple folded plates are inclinedly positioned between the front and rear folded-line notches. The emergency sparse-density reinforcement method in this invention involves a quantitative configuration process based on the width between two broken rebar ends and the fracture depth in the beam fracture area, specifying the number of emergency reinforcement units, the number of subsequent rebars, and their connection positions.

The application discloses a two-blade wind turbine compound load reduction control method under extreme wind conditions, which comprises the following steps: collecting wind condition data through a wind direction and wind speed sensor, inputting the collected original wind condition data into a wind condition prediction model to predict the wind speed and wind direction, judging the wind condition in the prediction time period according to the wind condition prediction data, selecting a corresponding strategy according to the wind condition to perform yaw control on the two-blade wind turbine, and performing independent variable pitch control on each blade of the two-blade wind turbine to reduce the load of each blade. Through the prediction of the wind speed and the wind direction, the accuracy and timeliness of the yaw control are improved, and through the design of a new independent variable pitch control equation applied to the two-blade wind turbine, the accuracy of the independent variable pitch control is improved, and the stability of the system is improved.

Embodiments relate to an automatic scanning device for a transfer container slot for glass substrate semiconductor packaging for factory automation of glass substrate semiconductor packaging, and more specifically, to an automatic scanning device for a transfer container slot for glass substrate semiconductor packaging. The device can realize synchronization by automatically scanning the positions and the number of glass substrates according to the slots of the conveying container and comparing the positions and the number of the glass substrates with relevant information in a manufacturing execution service system.

The invention relates to the technical field of network security, in particular to a network intrusion behavior recognition method and system based on big data, and the method comprises the steps that a data collection module collects network flow data, system logs, host information, network topology structure information and other original data from different data sources of a network system; the graph construction module constructs first graph data according to original data, determines nodes and edges of the first graph data and adds feature values. The graph preprocessing module carries out preprocessing operations such as data cleaning, standardization and feature engineering on the first graph data to obtain second graph data, and the graph neural network module analyzes and learns the second graph data and outputs a result. The attack traceability and analysis module determines network intrusion behavior data including an attack source, a propagation path and an influence range according to a specific traceability method according to a result output by the graph neural network, and finally the result display module displays the data in a graphical interface or report form, so that the network intrusion behavior is effectively identified.

This utility model discloses a pre-warning door lock for housing rental, belonging to the field of door lock technology. It includes a lock shell with a partition plate fixedly installed inside, and a processor detachably installed on the inner side of the partition plate. A pre-warning component includes an annular frame fixedly installed at the bottom of the partition plate, with a network module detachably installed on the inner side of the annular frame. A battery box is fixedly installed on the right side of the annular frame, with a battery cover rotatably installed on the top of the battery box, and a battery body detachably installed on the inner side of the battery box. A rectangular frame is fixedly installed at the bottom of the annular frame, with a cross plate fixedly installed inside the rectangular frame. Multiple fixing holes are drilled through the cross plate and the outer wall of the rectangular frame. This utility model, through its structural design of a camera, fingerprint sensor, partition plate, network module, vibration sensor, infrared sensor, processor, recognition module, and door magnetic sensor, can achieve a pre-warning effect, facilitating rapid response to abnormal situations and providing high security.

The present invention discloses a herpes simplex virus type II mRNA vaccine and its application, and relates to the technical field of biopharmaceuticals. The nucleic acid sequence of herpes simplex virus type II mRNA of the herpes simplex virus type II mRNA vaccine is shown in SEQ ID NO. 1. The mRNA vaccine is obtained by gene synthesis, in vitro transcription, and lipid nanoparticle encapsulation, which can quickly respond to the currently popular HSV-2 and reduce the research and development and production cycle of new vaccine development.