954 results about "Triggering device" patented technology

The invention provides an automatic data fitting method and system combined with equipment position calibration, and the method comprises the steps: firstly collecting a multi-source sensor data set of target equipment in a three-dimensional space, including equipment motion track data, position coordinate offset and environment interference parameters, carrying out the feature extraction of the multi-source sensor data set, and carrying out the feature extraction of the target equipment; generating a target feature set containing spatial position correlation features, dynamic trajectory fluctuation features and environment coupling features, then calling a pre-trained adaptive fitting model, inputting the target feature set to perform dynamic parameter matching, and generating an initial calibration parameter set; and generating a dynamic path sequence of equipment position calibration based on the initial calibration parameter set, triggering the equipment to execute automatic position calibration according to the sequence, and feeding back calibrated verification data to the model update parameters, thereby improving the precision, real-time performance and adaptivity of equipment position calibration.

The invention discloses a BIM-based hydropower station full life cycle design, construction, operation and maintenance integrated control system, and the system comprises an intelligent sensing layer which integrates 5G + Beidou positioning, a LoRa gateway and a sensor, collects multi-source heterogeneous data in real time, and transmits the multi-source heterogeneous data to a digital twinborn layer after the multi-source heterogeneous data is filtered by an edge node; a digital twinborn layer: constructing a parameterized model library through laser point cloud and BIM automatic registration, integrating a geological parameter dynamic correction algorithm, mapping a construction period stress field in real time, and updating model parameters based on sensing data self-evolution; the intelligent decision-making layer performs equipment fault prediction by using an LSTM neural network, optimizes multi-machine load distribution in combination with an improved PSO algorithm, and automatically adjusts a start-stop strategy when the load fluctuates; and the security execution layer is used for triggering equipment operation after virtual twinborn deduction verification through a block chain evidence storage instruction, realizing virtual-real dual verification in combination with an industrial firewall, and finally feeding back a running state to the sensing layer to calibrate and update a model, and supporting intelligent decision.

The invention discloses a wafer polishing laser interference closed-loop pressure control method, and relates to the technical field of semiconductor manufacturing, and the method comprises the following steps: S1, triggering an automatic measurement program after a ceramic plate and a wafer are overturned; s2, driving a laser interference measuring head to perform non-contact scanning on T2 / T4 point positions of the wafer through a six-axis mechanical arm positioning system to obtain thickness distribution data; s3, fitting the thickness distribution data by adopting a Zernike polynomial to generate a three-dimensional distribution diagram, and calculating a pressure correction amount based on a process dynamic model and a pressure prediction model constructed by a support vector machine regression algorithm; s4, detecting a data outlier in real time through an exception handling module, and triggering an equipment protection strategy when the deviation exceeds a set threshold value; and S5, a pressure control instruction is transmitted to the polishing head through the PROFINET bus by means of the PLC. Through non-contact laser interference measurement, the laser interference technology is applied to thickness detection of the polished wafer for the first time, the single measurement time is shorter than 20 seconds, and the detection efficiency is remarkably improved.

The invention provides a highway electromechanical autonomous decision-making method and system based on big data and a knowledge graph, and relates to the technical field of highway traffic intellectualization, and the method comprises the steps: firstly obtaining an operation data set, including equipment state information, environment perception information and operation instruction records, of highway electromechanical equipment in a continuous operation period, and then carrying out the feature extraction of the operation data set; the method comprises the steps of obtaining a key feature set reflecting an equipment operation state, calling a pre-constructed knowledge graph to carry out association analysis on the key feature set, generating decision association information, and determining a current operation state evaluation result and a potential risk prediction result of the highway electromechanical system based on the decision association information. And finally, an autonomous decision instruction for triggering equipment adjustment or resource scheduling operation is generated, so that intelligent and automatic decision of the road electromechanical system is realized, and the operation efficiency and safety of the system are improved.

The invention discloses an energy consumption optimization management method and system for compressed air of an energy storage aquifer, and relates to the field of energy consumption optimization management.The method comprises the steps that an initial adjustment frequency threshold value is set by dynamically selecting regulation and control parameters, the adjustment effect is verified through a model, and equipment maintenance or replacement is automatically triggered when the threshold value is exceeded; the timeliness and the accuracy of exception processing are obviously improved; further setting a monitoring period, circularly executing data acquisition and parameter adjustment, combining real-time monitoring of maintenance cost and working time length data, dynamically optimizing an adjustment strategy and recording historical data when a threshold value is exceeded, and finally constructing a total maintenance cost-working time length mapping model to realize continuous optimization; besides, by introducing a second threshold maximum adjustment frequency and a sensor redundancy mechanism, when the adjustment does not reach the standard, a standby sensor is automatically added, and the optimization process is repeated, so that the reliability of data acquisition and the stability of the system are effectively enhanced.

The invention provides a multi-camera cooperative intelligent early warning method and system for abnormal events, and belongs to the technical field of intelligent security and big data. The method comprises the following steps: collecting video data through a multi-view and multi-type camera, collecting environmental parameters through a sensor, extracting target appearance, motion features and environmental state features by using deep learning after preprocessing, and fusing to construct a multi-modal feature vector; and analyzing and identifying an abnormal event based on the trained abnormal event identification model, determining event information through multi-camera cooperative feature matching and geometric operation, and finally generating early warning information according to a preset strategy and linking the equipment. The abnormal event recognition accuracy and early warning timeliness are improved, and the method is suitable for the field of intelligent security and protection of complex scenes.

A safety circuit for a high-voltage electrical traction system comprising a plurality of electric machines. The safety circuit comprises a primary high voltage interlock loop (HVIL) circuit configured to be connected to a battery and for each of the plurality of electric machines, a secondary high voltage interlock loop (HVIL) circuit, wherein each secondary HVIL-circuit is controlled by a corresponding switch unit configured to break the secondary HVIL-circuit if a fault in a corresponding electric machine is detected, and wherein the switch unit comprises a trigger device configured to break the primary HVIL-circuit if the switch unit is opened.

The invention discloses a cigarette cut tobacco batch production circulation control system and method based on single-point condition judgment, and the system comprises a work order parameter verification module which is used for receiving a work order issued by a scheduling system, and carrying out the work order information integrity verification, process parameter compliance verification and equipment suitability verification; the regular expression configuration module is used for providing a visual interface and configuring a regular judgment rule set of equipment starting conditions, ending conditions and abnormal ending conditions; and the single-point judgment execution mechanism is embedded into the PLC control layer, acquires equipment parameters in real time, dynamically evaluates regular conditions based on a finite-state machine model, and triggers an equipment start-stop instruction. According to the system, the cigarette cut tobacco batch switching time is remarkably shortened, and the work order circulation efficiency is improved; the manual intervention frequency is further reduced, and the misoperation rate is further reduced; and the problem of production interruption caused by disconnection of the equipment state and the process parameters is solved.

The utility model belongs to the technical field of packing tape packers, and particularly relates to a tape storage mechanism of a banding machine and the banding machine, which comprises a moving component, a detection roller, a detection support, a damping component and a trigger device, in the process that the moving assembly retreats the belt, the belt is firstly retreated, then the tightened belt drives the detection support and the belt disc of the belt storage mechanism to be switched from the locking state to the rotation state, and the scheme of retreating the belt and then storing the belt is achieved. When the detection support moves, the trigger device indirectly or directly controls the tape reel to release the tape. According to the design, the tightening degree of the belt in the packaging process is controlled by the damping component, and the whole belt withdrawing structure is simplified; and the lacing force of the belt can be conveniently adjusted as required, so that the universality and the use convenience of the lacing machine are improved.

The invention discloses a monitoring and early warning method based on intelligent wearing, and aims to improve the safety of a user. The method comprises the following steps: continuously collecting original data streams from various built-in sensors through intelligent wearable equipment, and reflecting the state, posture, position and environment information of a user in real time; and carrying out real-time preprocessing, time-space synchronization and multi-modal fusion on the data to construct unified data representation. Based on this, analysis and feature extraction are performed, key indicators are calculated and compared with threshold values, and preset safety or auxiliary events are identified and confirmed in real time, the events at least including user tumble, location abnormality, external threats or active help seeking of the user. And according to the identified event type, severity and context, automatically selecting and triggering a corresponding execution module built in the equipment to execute a preset response action. According to the invention, various danger or help-seeking scenes can be accurately identified, and timely and effective automatic response is provided.

The present application belongs to the technical field of aircraft assembly, and provides a device and method for controlling the depth of a counterbore of an engine suspension fastener hole. The device is used in the process of drilling an engine suspension fastener hole and counterbore, and controls the depth of the counterbore. The device is composed of a micrometer, a sensor and a tool holder. The micrometer is fixed on the tool holder, and the end of the micrometer is a flat surface. The working end of the sensor is a half-spherical surface, which can be compressed. The tool holder moves with the deepening of the counterbore depth, so that the end surface of the micrometer and the sensor are in contact and the sensor is compressed. When the compression reaches a certain depth, the sensor triggers, the device stops the counterbore, the tool exits the product, and the assembly part is automatically counterbored to the required size. The present application can automatically control the depth of the counterbore of the assembly part and the part.

The invention relates to the field of spring processing, in particular to an automatic reverse coiling machine for a coil spring of an automobile safety belt, which is characterized in that through a pre-tightening disc with a conical cavity, the reverse coiling spring can be quickly bounced into a coil spring loading disc by utilizing the elastic tension of the reverse coiling spring during unloading; the coil spring loading device is matched with the bending block to achieve rapid bending of the end of a reverse-winding spring, a clamping strip in the coil spring loading disc can be conveniently inserted into the outer bend during unloading, rapid fixing and limiting of the outer end of the reverse-winding spring are achieved, the coil spring loading quality is improved, traditional manual disc loading is replaced, tedious disc loading operation is simplified, and the working efficiency is improved. The integration level of the equipment is improved; the operation safety is improved; besides, an electric control pedal is used as a control system of a trigger device, so that the device automatically executes reverse winding operation, bending operation and automatic tray loading operation, the automation level of the device is improved, and the production efficiency of the safety belt coil spring is improved.

The invention discloses a coal blocking prediction and control method and system for a coal conveying and falling pipe based on artificial intelligence, and belongs to the technical field of power plant coal conveying system safety monitoring. Multi-source sensor data such as coal flow density, sound wave frequency spectrum and pressure gradient are fused, and are input into a neural network model after time alignment and feature extraction; a hierarchical risk label is output in combination with an integrated learning algorithm, and the coal conveying equipment is linked to execute hierarchical control including low-risk continuous monitoring, medium-risk speed reduction and intermittent excitation, high-risk emergency jump stop and maximum power rapping; the problems that a traditional single sensor is high in false alarm rate and manual response lags behind are solved, equipment adjustment can be accurately triggered in the early stage of coal blockage, non-planned shutdown is avoided, industrial protocol data frames are packaged through a PLC interface to ensure reliable execution, and the safety and operation continuity of a coal conveying system are remarkably improved.

The invention discloses a DALI equipment dynamic addressing and automatic address configuration method based on a LiFi technology, and relates to the technical field of intelligent lighting. Building a LiFi network and setting a communication protocol; equipment physical deployment and initialization; triggering an equipment discovery mechanism; the device responds to and recognizes interaction; address allocation and conflict detection; address configuration issuing and device activation; and carrying out configuration recording and fault processing. According to the dynamic addressing and automatic address configuration method combining the LiFi technology and the DALI device, the DALI slave device and the main controller are modified to enable the DALI device to have the compatibility of LiFi communication and a DALI protocol, automatic discovery, address allocation and conflict detection of the device are achieved through the LiFi network, the configuration process of a traditional DALI system is optimized, and the configuration efficiency of the DALI system is improved. High-speed data transmission and encryption of a configuration instruction are realized through a LiFi channel, and automatic configuration and stability of equipment are ensured.

The utility model relates to a lifting magnet, in particular to an automatic attracting and releasing lifting electric permanent magnet. Comprising an electro-permanent magnet, a trigger device, a manual control panel and a lifting connecting part, a containing chamber is arranged on the upper portion of the electro-permanent magnet, and an electrical control unit is arranged in the containing chamber; the triggering device is arranged at the top of the electro-permanent magnet, the lifting connecting part comprises a hanging bow, the two ends of the hanging bow are connected with the electro-permanent magnet, and external triggering implementation is provided for the triggering device; the triggering device receives external triggering implementation and sends out a triggering signal; the electrical control unit receives the trigger signal, detects the magnetic characteristic state of the electro-permanent magnet, generates magnetic control current to the electro-permanent magnet according to the trigger signal, and changes the magnetic characteristic state of the electro-permanent magnet to enable the electro-permanent magnet to be in a lifting or releasing state; and magnetic poles are arranged on the bottom working surfaces of the electro-permanent magnets. The suction device is simple in structure, safe in suction force, convenient to repair and maintain and capable of automatically sucking and releasing materials.

The invention relates to the technical field of software, and discloses an IPMB (Intelligent Power Management Bus) hanging prevention method, system and equipment based on a domestic MCU (Microprogrammed Control Unit) and a medium. The method comprises the following steps: sending a message to an IPMB bus through slave equipment, and detecting whether the IPMB bus is in a busy state or not through an external buffer connected with the slave equipment; in response to the fact that the IPMB is detected to be in the busy state, the external buffer disconnects physical connection between the slave equipment and the IPMB through the built-in switch; and in response to detecting that the IPMB is in a non-busy state and monitoring that response corresponding to the message waits for timeout and the number of times of waiting for timeout is greater than a preset number of times, the slave equipment sends a communication stop signal to the IPMB and triggers an equipment re-mounting mechanism. According to the scheme of the invention, the problem that multiple hosts seize a bus to cause busy in an IPMB application scene is effectively solved through a dual hanging-up prevention mechanism, and the situation that the whole link is hung up is avoided.

Disclosed is a method and IC, comprising: a p-type substrate layer (410), an ESD protection device (420), and a further region (430); wherein the ESD protection device comprises: a n-well region (422) having therein a n+ contact region (424) and a p+ anode contact region (426), and a trigger device (428) connected between the n+ contact region and a further p+ contact region (446) outside of the n-well, wherein the trigger device is operable, in response to an ESD event trigger, to provide a low-resistance path between the anode contact region and the further p+ contact region; wherein the further region comprises a further n-well (432), spaced apart from the ESD protection device lower-doped n-well region (422); and wherein the further n-well is operable as a cathode of an SCR comprising the anode, and the ESD protection device n-well and the p-doped substrate layer as a n- and p-intermediate nodes.

The invention relates to the technical field of steel wire rope state detection, in particular to a steel wire rope diameter measuring method and system based on event compensation correction. According to the technical scheme, the system comprises an imaging module, a boundary initial extraction module, a dynamic motion estimation module, a dynamic correction compensation module and a diameter calculation module. The imaging module comprises a traditional camera, an event camera, an optical component, a synchronous triggering device and a spectroscope. The traditional camera is used for collecting frame images of the steel wire rope. According to the method, on the basis of complementary advantages of an event camera and a traditional camera, systematic measurement deviation under the dynamic working condition is solved from the mechanism through an event-driven dynamic geometric compensation model, and quasi-static imaging dependence is broken through. The method does not need extra constraint or increase of frame rate, control cost and hardware complexity, avoids the problems of reduction of signal-to-noise ratio and the like, realizes high-precision stable measurement under high-speed and vibration working conditions, adapts to online monitoring of multiple industrial scenes, and is remarkable in practicability and application value.

A stationary induction charging device configured to inductively interact with a mobile induction charging device of a motor vehicle during a charging operation for wireless power transmission includes a positioning device configured to generate a positioning signal for positioning the mobile induction charging device to the stationary induction charging device. The stationary induction charging device further includes an activation interface configured to at least partially activate or deactivate the positioning device upon receiving a corresponding signal from a triggering device.

The invention provides a new energy station thunder and lightning hazard early warning method, and relates to the technical field of thunder and lightning early warning, and the method comprises the steps: obtaining the dynamic change data of a thunder and lightning cloud cluster monitored by a meteorological radar in real time; dynamically predicting the intensity and the moving path of thunder and lightning through dynamic change data by applying deep learning and a meteorological model; based on the geographic position and the equipment layout of the new energy station, performing lightning impulse simulation according to the intensity and the moving path of lightning; dividing thunder and lightning hazard risk grades according to a simulation result; and automatically triggering equipment protection measures according to the thunder and lightning hazard risk level in combination with the operation data of the new energy station. The invention relates to the technical field of thunder and lightning early warning, and discloses a thunder and lightning hazard early warning method for a new energy station.

The utility model discloses a controllable hook unhooking device, and belongs to the technical field of unhooking devices. The device comprises a driving device, a rope, a triggering device and a lifting hook, the driving device provides traction power for the device; one end of the rope is connected with the output end of the driving device, and the other end is directly or indirectly connected with the hook; the output piece of the triggering device and the lifting hook keep a relative movement state in a triggering state; the output piece is positioned above an unhooking switch of the lifting hook; the moving path of the lifting hook comprises the lower end position of the output piece, so that the lower end of the output piece is propped against an unhooking switch of the lifting hook to unhook in a triggering state; according to the utility model, the remote unhooking control of the lifting hook by personnel is realized, and the operation safety is ensured.

The invention provides a pump room scene abnormal state recognition system and method based on video monitoring, and relates to the field of monitoring or monitoring activities, in particular to the field of space perception. The system comprises a synchronous trigger device which is used for synchronously triggering the collection of video data and audio data in a pump room in the same monitoring time interval; and the state identification device is used for intelligently identifying a pump room scene abnormity type by adopting an intelligent scene abnormity identification model on the basis of basic contents obtained by analyzing the video data in the pump room and the audio data in the pump room. According to the invention, in order to solve the technical problem that the recognition precision and efficiency of various specific pump room scene abnormal states cannot be considered at the same time, different intelligent scene abnormal recognition models can be designed for different pump room scenes and multi-modal basic contents screened in a targeted manner are introduced; and various specific pump room scene abnormal state identification is completed, so that the technical problem is solved.

The invention discloses a time interval measurement system based on a high-speed video collector, belongs to the technical field of time interval measurement and metering traceability, and aims at solving the problems that in the prior art, time interval measurement triggering is not synchronous, errors are large, and visual triggering equipment is difficult to calibrate accurately. The system adopts a synchronous staggered double-high-speed camera to collect visual information of a device under test (DUT) and an external standard time interval instrument; embedding traceable first electronic timestamp information for each frame of acquired image based on the electric signal of the standard instrument; meanwhile, starting and stopping event characteristics of the DUT and visual display readings of the standard instrument are automatically recognized through an artificial intelligence (AI) model, a second visual time information source is obtained, and the system calculates the accurate time when an event occurs through a sub-frame-level time interpolation algorithm; and executing dual redundancy cross validation between the first electronic timestamp information and the second visual time information, calculating a high-precision time interval on the basis of validation, and evaluating the uncertainty of the high-precision time interval.

The utility model relates to an animal aerosol preference behavior detection system, and belongs to the technical field of animal behavior detection. The triggering device, the drinking water reward device and the data recording device are arranged in the box body, the at least two aerosol release devices are arranged outside the box body, the triggering device is used for triggering operation of animals, and corresponding effective operation is set for each aerosol release device. The triggering device controls the corresponding aerosol release device to release the corresponding aerosol into the box body when detecting effective operation of the animal and controls the water drinking award device to carry out water drinking awarding on the animal at the same time, and the effective operation of the animal on each aerosol release device is recorded through the data recording device. Therefore, the animal aerosol preference behavior can be detected. Therefore, the animal aerosol preference behavior detection device can effectively detect the animal aerosol preference behavior, and is simple in structure and easy to implement.

The embodiment of the invention provides a power equipment inspection method and system based on Beidou high-precision positioning. The method comprises the following steps: firstly, acquiring a preset inspection task information set (including equipment type identification, an inspection item list and task priority level) and an initial position data set (including geographical coordinate information of each power equipment) of to-be-inspected power equipment; and then calling a path planning module of the Beidou high-precision positioning system to generate a dynamic inspection path containing a path node coordinate sequence and a node access sequence. And according to the dynamic inspection path, guiding an inspector to arrive at the equipment position through the Beidou high-precision positioning terminal and triggering the equipment state data acquisition operation. And then carrying out spatial correlation verification processing on the collected equipment state data set and the path node coordinate sequence. And finally, integrating related information based on an association verification result, and generating a power equipment inspection result report containing equipment position information and state details, thereby facilitating timely discovery of potential problems of the equipment and ensuring safe and stable operation of a power system.

The invention particularly relates to a complete redundancy triggering device and method for an extra-ultrahigh voltage direct current transmission converter valve. The complete redundancy triggering device comprises a valve control device and a converter valve, the valve control device comprises a first triggering and monitoring case and a second triggering and monitoring case. The first triggering and monitoring case comprises a first main control board and a first triggering optical link; the second triggering and monitoring case comprises a second main control board and a second triggering optical link; the converter valve comprises a first optical splitter and a plurality of thyristor control units. The first main control board is connected with the first optical splitter through a first trigger optical link, the second main control board is connected with the first optical splitter through a second trigger optical link, and the first optical splitter is connected with the plurality of thyristor control units. According to the invention, when the optical link fault is triggered and detected back, fault processing of all board cards and channels can be carried out without power cut and converter valve locking, complete redundancy configuration of a valve control system is realized, and the operation reliability and stability of a direct current system are greatly improved.

The invention discloses a riding helmet automatic rescue system and method based on multi-source data fusion, and the system comprises a sensor module which is used for collecting automobile state data and riding environment data, and the output end of the sensor module is connected to a data processing unit; the data processing unit is used for receiving the automobile state data and the riding environment data and performing risk assessment according to the received data to obtain an assessed risk level signal, and the output end of the data processing unit is connected to the rescue starting device; the rescue triggering device outputs a corresponding rescue signal according to the received risk level signal, and the output end of the rescue triggering device is connected to the communication module; and after receiving the rescue signal, the communication module sends the rescue signal to an external rescue system and executes a rescue response. The method has the advantages that real-time monitoring, accurate judgment and graded response of riding risks are achieved by means of auxiliary driving and lane early warning technologies through multi-source data fusion and an AI algorithm, and riding safety and rescue efficiency are improved.

The invention belongs to the technical field of PEM water electrolysis hydrogen production, and provides a control method and system of PEM water electrolysis hydrogen production equipment. The method comprises the following steps: extracting a differential pressure oscillation signal and analyzing to obtain a differential pressure unbalance area; through associated risk modeling of the pressure difference and the permeability, outputting a risk level for predicting hydrogen permeation; executing a differential intervention strategy, extracting effective inhibition characteristics, and constructing a two-dimensional evaluation domain to judge whether hydrogen permeation is completely inhibited or not; and if the hydrogen is not completely inhibited, extracting and screening a hydrogen reverse migration path to obtain a response isolation path and a permeation duration coefficient, and triggering equipment safety isolation and inerting response control according to the permeation duration coefficient. The control system comprises an unbalance analysis module, a penetration analysis module, an inhibition judgment module, a path extraction module and a response control module. According to the invention, risk assessment and efficient safety control of the PEM water electrolysis hydrogen production equipment can be realized, and the safety and stability of equipment operation are improved.

The invention provides a battery thermal runaway triggering device, a triggering method and a triggering system, and relates to the technical field of battery safety testing. The battery thermal runaway triggering device comprises a magnetic field generation module and a triggering monitoring module, the magnetic field generation module is used for continuously applying a high-frequency alternating magnetic field to a target battery in a close range according to the working frequency of the target battery, and the triggering monitoring module is used for monitoring whether the target battery enters a thermal runaway state or not. And under the condition that the target battery enters the thermal runaway state, the magnetic field generation module is controlled to stop working. The battery thermal runaway triggering device can trigger the thermal runaway of the target battery in the shortest time under the condition that excessive energy is not introduced, and the authenticity of the battery thermal spread test process is guaranteed.

Hand wearable support for a bar code scanner comprises back and front sides. The front side includes a V-member, first and second harness straps attached thereto extending away from each other at an angle, and means along the V-member for releasably attaching the front to the back side of the support which further comprises a back of the hand portion, a thumb portion, a trigger attachment portion, and first and second strap attachment portions each including a buckle. The first and second harness straps of the front side include a tongue portion for threading through the first and second buckle and folding back to releasably attach to itself. Releasable attachment of a trigger device, bar code scanner attachment, and bar code scanner to trigger attachment portion, bar code scanner attachment portion, and bar code scanner attachment portion, respectively, forms a bar code scanner assembly in the form factor of a support wearable by a user to perform scanning operations.