96results about How to "Quick feedback" patented technology

The invention discloses an unmanned aerial vehicle ground-to-air conversion-based arch bridge cantilever attitude and line shape real-time monitoring method, which comprises the following steps that: after segments are assembled on the ground, a plurality of prisms which are not positioned on the same straight line and a plurality of targets which are not positioned on the same straight line are arranged on the upper surfaces of the segments; three-dimensional point clouds of the segments are constructed, and coordinates of the three-dimensional point clouds are corrected through the targets; constructing a key point set, constructing a prism coordinate system (XYZ) L0, and converting coordinates of the key point set to the prism coordinate system (XYZ) L0; when the segments are spliced in the air, whether the prisms are subjected to construction disturbance deviation or not is checked, and the spatial positions and postures of chord members and flange holes of the segments are obtained according to the prism disturbance deviation condition. According to the invention, the world coordinates of the chord member pipe orifice center and the flange hole center of the main arch segment can be accurately obtained, and the spatial position and posture of the segment can be effectively reflected.

The invention belongs to the technical field of computer information processing, and particularly discloses an internet of things equipment firmware-oriented fuzz test input optimization device, which comprises a static analysis module used for carrying out firmware analysis through an API interface, identifying an input transmission point of bare computer firmware, and realizing automatic identification through a custom script; the dynamic simulation module is used for identifying an input transfer point of the firmware of the real-time operating system and realizing a length inference mechanism and a final input transfer algorithm; the input routing mapping module is used for identifying and dynamically monitoring a data retrieval point, an input processing point and an availability check instruction in firmware to obtain a mapping result; the input transmission point identification module is used for automatically identifying an input transmission point of the firmware based on the mapping result; and the sensing module is used for dynamically determining the minimum length and the maximum length of the input data of the input transmission point, optimizing the input transmission point of the firmware fuzz test, and dynamically calculating the length of the reserved data. According to the invention, the fuzz testing efficiency can be improved.

The invention discloses a state awareness scheduling method based on ECRH system and EPICS integration, belongs to the technical field of control of nuclear fusion devices, and solves the problem that a traditional ECRH system is slow in scheduling response when the equipment state changes. According to the invention, through the IOC module and the Channel Access protocol of the EPICS system, the equipment state data can be collected and transmitted to the central control system in real time, so that the rapid feedback of the equipment state is ensured; by monitoring and analyzing real-time state data, the detection precision of the system on equipment abnormity is improved, and it is ensured that the system can be rapidly adjusted when the state of the equipment changes; by dynamically adjusting the priority of the control signals, resource allocation can be optimized in real time according to changes of equipment states and experiment requirements; the overall efficiency of the system is improved; by dynamically adjusting the transmission frequency of the control signal, adaptive adjustment can be performed according to the actual load condition of the equipment, and resource waste or insufficiency caused by fixed frequency scheduling is avoided.

The embodiment of the invention provides a read-write test method and device for a memory and a storage medium, and belongs to the technical field of memories. The method comprises the following steps: acquiring the number of data blocks of a target memory to be tested and the line number of each data block; determining the number of to-be-created test threads according to the number of the data blocks, the number of the rows and the read-write type; creating the number of test threads, and respectively determining a read-write initial position of each test thread from the row region of each data block; and synchronously calling each created test thread, and outputting a test result, so as to synchronously perform a read-write test from the corresponding read-write initial position through each test thread. The embodiment of the invention can improve the test efficiency.

The invention discloses a virtual reality scene modeling method and system based on big data, and relates to the technical field of virtual reality, and the method comprises the steps: matching a model component library, a texture component library and an illumination component library according to scene demand information; constructing a three-dimensional model according to the model component library and the scene demand information; and receiving dynamic configuration parameters of the illumination component library and the texture component library, and performing scene real-time rendering on the three-dimensional model. According to the method, the model component library, the texture component library and the illumination component library are matched, and the three-dimensional model is quickly built according to the model component library and the scene demand information, so that the complexity of modeling operation is reduced; the rendering effect of the three-dimensional model is updated in real time by analyzing the dynamic configuration parameters of the illumination and texture component library, so that visual effects under different illumination conditions are simulated in a virtual environment, the sense of reality of materials and surfaces is improved, rapid feedback and immediate adjustment of the design effect are ensured, and highly-customized and immersive user experience is provided.

The invention relates to the field of power transmission line monitoring, and particularly discloses a device for preventing external damage of a power transmission line based on a laser radar, and the device comprises the laser radar, a data processing unit, an early warning module, a communication unit, and a power module. The data processing unit receives three-dimensional space data sent back by the laser radar unit and analyzes the movement trend of an external damage source in real time, when the data processing unit judges that the external damage source is close to the safety distance of the power transmission line tower, the early warning module triggers an alarm signal, and the communication unit sends alarm information to a power transmission line monitoring center; according to the invention, timely discovery and early warning of external broken objects can be ensured, the system is not limited by weather and light conditions, the system is suitable for various complex environments, threat information can be rapidly fed back to a monitoring center through high-speed data transmission and dynamic analysis, early warning is realized, and the system is suitable for different scene requirements of power transmission lines.

The invention discloses an after-sales product technical service problem processing method, device and equipment system, relates to the technical field of computers, and solves the problems that the problem processing efficiency is low due to insufficient communication caused by limited experience and frequent personnel replacement when field engineers solve product problems; the method comprises the following steps: submitting product problem information to a server through a mobile terminal, and judging whether the server stores the corresponding product problem information or not; related processing personnel select a processing flow and a related product responsibility unit according to the product problem information, and the responsibility unit edits a problem analysis processing report according to the processing flow; judging whether the problem analysis processing report passes internal verification approval or not; judging whether a corresponding product problem is solved or not; if yes, generating a product problem tracking report, feeding back the product problem tracking report to the server, displaying the product problem tracking report on the mobile terminal, and marking the problem state of the corresponding product as being processed; if not, an early warning signal is sent out; according to the invention, the accuracy and efficiency in the process of processing product problems are improved.

The invention relates to an active power factor correction device, in the active power factor correction device, an average current controller and a feed-forward compensation controller are respectively used for obtaining a first duty ratio and a second duty ratio, a duty ratio processor is used for superposing the first duty ratio and the second duty ratio to obtain a total duty ratio, the pulse width modulation controller is used for generating a pulse width modulation signal for controlling the switching device according to the total duty ratio, the second duty ratio is related to the sum of inductive currents sampled for multiple times in a power frequency period, and the sum of the inductive currents changes along with the load power of the main circuit. Therefore, the second duty ratio can reflect the dynamic change of the load power, the total duty ratio is obtained by superposing the first duty ratio and the second duty ratio, the feedback can be enhanced when the load power changes, and compared with the control by only using the average current method, the control capability on the output voltage and the input current is improved, and the control efficiency is improved. And a better power correction effect can be realized.

The invention discloses a visual intelligent adjustment method and system of a full-automatic die bonder, and relates to the field of semiconductor back-end packaging manufacturing, and the method comprises the steps: collecting an image of a to-be-recognized feature in real time based on a camera in the full-automatic die bonder, and obtaining a real-time image; determining the optimal light source and the optimal brightness of the to-be-recognized features based on various light sources and real-time images in the full-automatic chip loader; obtaining a to-be-recognized feature image under the optimal light source and the optimal brightness to obtain an optimal image, and determining a template area of the optimal image; determining a region of interest of the optimal image based on the template region of the optimal image; based on the region of interest of the optimal image, cutting the optimal image to obtain the image of interest of the to-be-identified features; and the camera is adjusted based on the interested image of the to-be-identified features. Through the interested image, the position and angle of the to-be-identified feature are accurately obtained, the operation precision of the to-be-identified feature is improved, and the loading quality is improved.

The invention discloses a method for screening out fault equipment aiming at analysis data information of a truck lithium battery system, realizes analysis processing operation on battery data information, screens out corresponding fault results, and relates to the technical field of battery monitoring. According to the method for screening out the fault equipment aiming at the analysis data information of the truck lithium battery system, the data information is preprocessed, compensation of missing data and removal of abnormal data are achieved, a fault analysis model is established, the preprocessed data are introduced into the fault analysis model to be analyzed, and the fault equipment is screened out. Data are processed in parallel through different screening modes to complete extraction of fault data, so that parallel processing operation of multiple screening modes is achieved, the accuracy of data result screening can be improved, the efficiency of screening operation can be improved, meanwhile, screening of fault equipment data and matching of results are effectively completed, and the efficiency of data processing is improved. And rapid positioning and problem feedback and processing are realized.

The invention relates to the technical field of mill lining plate wear monitoring, and discloses a mill lining plate intelligent wear monitoring system and method based on big data, the system comprises a mill lining plate wear monitoring parameter acquisition module, a mill lining plate wear failure state evaluation module, and a mill lining plate wear monitoring information feedback module; accurately matching the wear failure state spatial three-dimensional model library required by the monitored mill lining plate according to the type of the mill lining plate product by combining the wear failure state spatial three-dimensional model library of different types of mill lining plate products stored based on big data with an intelligent search algorithm and the type identification parameters of the mill lining plate product; intelligent evaluation of the wear failure state of the mill lining plate is carried out based on mill lining plate space three-dimensional model parameters in combination with an intelligent recognition algorithm and a mill lining plate product wear failure state space three-dimensional model library which is customized and matched according to the type of the mill lining plate product, and the wear failure state of the mill lining plate is efficiently and accurately analyzed.

The invention relates to the technical field of lithium battery thermal runaway suppression, and discloses a simulation system for lithium battery thermal runaway suppression by multi-particle-size water mist, which comprises a data acquisition module for lithium battery temperature acquisition, the temperature monitoring module is used for monitoring and predicting the temperature of the lithium battery and correcting the output of the temperature monitoring unit to monitor and predict the temperature of the lithium battery; the water mist control module is used for controlling the spraying type of particle size water mist and controlling the spraying momentum of fog drops; the suppression analysis module is used for performing suppression result analysis on the thermal runaway of the lithium battery; the feedback module is used for feeding back battery thermal runaway temperature response data and a particle size water mist cooling effect; according to the invention, higher monitoring precision can be ensured, the diameter of water mist and the momentum of fog drops are allowed to be adjusted according to different conditions, and a targeted inhibition effect is realized.

The invention provides a chip parameter self-adaption method based on regular card swiping and a storage medium, and relates to the technical field of computers. According to the method, card swiping detection is automatically carried out at the preset time interval, the frequency and time consumption of manual testing are reduced, and the data acquisition speed is increased; a preset monitoring program is used for automatically collecting card reading data, so that the requirement of manual intervention is further reduced, and rapid feedback of a detection result is realized; when a card reading error is detected, the chip parameters are automatically adjusted according to the preset parameter adjustment rule, so that the tedious process and time consumption of manual adaptation are avoided; through repeated and continuous detection and adjustment until the preset card reading condition is met, the accuracy and reliability of the test result are ensured, meanwhile, the test period is greatly shortened, the labor cost and the time cost are reduced, and therefore efficient and accurate chip testing is achieved.

This invention discloses an acidic oxidizing potential water generator and its preparation method for stable water quality control, belonging to the field of disinfection equipment technology. The device is designed with an inlet module, a brine preparation module, a mixing and control module, an electrolysis module, and a control system. Its core lies in employing a high-precision electric proportional control valve and a millisecond-level PID algorithm to achieve constant pressure and constant flow control of the inlet water flow. The brine preparation module uses a solid natural melting structure combined with closed-loop liquid level control, enabling long-term maintenance with a single salt addition lasting for six months. A built-in water quality prediction model based on electrolysis current (fma) is incorporated, using a specific algorithm formula to calculate pH, ORP, and available chlorine content in real time, achieving "soft measurement" and feedforward control of water quality. This solves the problems of high manual operation intensity and raw material concentration fluctuations, ensuring that the effluent water quality stably meets the high standard disinfection requirements of pH 2.5-2.6, ORP 1112-1115mV, and available chlorine 50-55mg / L.

The invention relates to the technical field of foundation SAR, and discloses a foundation SAR side slope measurement data denoising method, which comprises the following steps: inputting a foundation SAR image sequence and a monitoring parameter sequence of a side slope to be observed into a neural network model for identifying a side slope risk area; outputting the risk area of each monitoring time point in the corresponding foundation SAR image in the monitoring time period and the subsequent time period; marking the risk area corresponding to each monitoring time point in the foundation SAR image corresponding to each monitoring time point to determine a key observation area in the foundation SAR image corresponding to each monitoring time point; calibrating a key denoising range in the foundation SAR image according to the key observation area in the foundation SAR image corresponding to each monitoring time point; and denoising the ground-based SAR image obtained at each monitoring time point according to the key denoising range. The method is beneficial to dividing the key denoising range of the ground-based SAR image.

The application provides a geometry checking method for mesh generation, a PCB simulation method, a computer device and a storage medium, and comprises the following steps: reading a plurality of input geometry models, obtaining the geometry and the corresponding boundary element of each geometry model; recording the collision box of each geometry, and judging the geometry whose collision boxes do not intersect as compatible, and recording other geometries as target geometries; the compatibility refers to the intersection region of two geometries being the common boundary element of the two geometries, otherwise being incompatible; sorting all target geometries according to the dimension, and checking whether the target geometry of the current dimension is incompatible with the target geometry of the same dimension or low latitude; if it is judged that there is an incompatible target geometry, the process is stopped and error information is returned. The scheme can quickly check the geometry model before mesh generation, and quickly and accurately feed back specific error information and position when incompatible geometry models are found, thereby improving the overall efficiency and effect of simulation.

The invention provides a gesture positioning method and device applied to an intelligent remote controller and electronic equipment, and relates to the field of data processing. According to the method, in the process that a user uses the intelligent remote controller, position change data and posture change data of the intelligent remote controller are obtained; inputting the position change data and the attitude change data into a preset LSTM model to obtain a dynamic pointing area; performing gesture intention reasoning on the dynamic pointing area, and determining a pointing probability corresponding to the dynamic pointing area; if it is determined that the pointing probability meets a preset condition, obtaining a target object from the dynamic pointing region; and sending the control instruction to the target object to control the target object to complete the control operation of the intelligent remote controller through the control instruction. By implementing the technical scheme provided by the invention, the positioning problem of the intelligent remote controller is solved, so that the intelligent remote controller realizes a control effect.

This invention relates to a multi-target recognition method suitable for routine highway maintenance and inspection using unmanned aerial vehicles (UAVs), belonging to the field of road inspection technology. The method includes determining the inspection targets for UAV highway inspection, deploying a flight plan for UAV image acquisition, and obtaining image data of asphalt pavement defects or traffic infrastructure damage; constructing a UAV highway inspection image dataset, which is based on images captured by the UAV and annotates abnormal targets such as asphalt pavement defects and traffic infrastructure damage; and building a multi-target recognition model based on the YOLOv8 algorithm, integrating attention mechanisms, multi-scale feature fusion strategies, and lightweight convolutional structures. The model is then used to detect and locate abnormal targets on the highway in the images. This invention uses UAVs for highway inspection, achieving efficient observation of ground conditions without affecting traffic flow, and avoiding the interference of traditional manual inspections on traffic.

The invention relates to the technical field of environment detection, in particular to building construction environment monitoring and early warning equipment and method based on real-time monitoring, and the equipment comprises a housing which is internally provided with a mounting plate; the driving rod is arranged on the mounting plate, and a plurality of groups of loading parts and visual detection devices are circumferentially arranged on the driving rod; the telescopic rotating mechanism is mounted on the mounting plate and connected with the driving rod, the telescopic rotating mechanism comprises a driving assembly and a lifting assembly, and the driving assembly and the lifting assembly act alternately; the gas-guide tube and the conical part are arranged on the mounting plate, the gas-guide tube is elastically connected with the conical part, and the conical part is matched with the test tube arranged on the loading part; the connecting assembly is connected with the gas guide pipe and is matched with the driving rod, the connecting assembly can enable the gas guide pipe and the conical part to move downwards when the driving rod moves upwards, and enables the gas guide pipe to be inserted into the test tube when the conical part abuts against the test tube, so that detection of different gases is used.

The present invention provides a DRAM test machine and method based on embedded logic analysis. An embedded logic analyzer is integrated in an ATE test control chip. The embedded logic analyzer is integrated in an ATE test control chip having a main control unit, a test vector generator, and a test result processor. The defects in the prior art are overcome, and the signals of the DRAM chip can be captured and analyzed in real time, so as to help test engineers quickly find problems and improve test efficiency. A plurality of signal channels can be monitored at the same time, so as to improve in-depth analysis capability, and specific trigger conditions can be set to capture key data. The complex timing behaviors of various DRAMs can be decoded and analyzed, so as to save test time. The machine is compactly integrated, does not occupy additional space, reduces costs, and improves benefits. The machine can quickly provide test results and feedback, and is helpful to shorten the test time of the DRAM chip and accelerate the test progress.

The present invention discloses a double-arm-raised CT image quality control detection method combined with multi-view fusion, which performs technical quality control by performing CT scanning on the double-arm-raised posture from multiple views, fuses the multi-view images by using advanced image processing technology and algorithms, obtains more comprehensive quantitative evaluation of image information, and uses simple ellipse fitting to calculate the relationship between the normal vector of the ellipsoid and the humeral posture to determine the positional relationship according to the different body postures of patients, calculates the angle by the normal vector of the chest body ellipsoid plane and the direction vector of the humerus of both arms, and quantifies the angle into a quality control score to quantitatively evaluate the quality control effect, thereby further improving the accuracy and reliability of CT examinations.

The utility model discloses a full-automatic rubberizing device and relates to the technical field of workpiece rubberizing. The attaching assembly comprises a bearing block serving as a carrier; the angle adjuster is mounted at the upper end of the bearing block and connected with the displacement assembly; the outer adsorption structure is located below the bearing block and connected with the two sides of the bearing block, the outer adsorption structure is used for adsorbing the outer ring of the sticker, and a mounting groove is formed in the outer adsorption structure; the inner adsorption structure is located in the mounting groove and movably connected with the two sides of the bearing block, and the inner adsorption structure is used for adsorbing the inner ring of the sticker; the lifting driving structure is mounted on the bearing block and connected with the inner adsorption structure, and the lifting driving structure is used for driving the inner adsorption structure to move. The paster pasting device has the advantages that pasters are adsorbed through cooperation of the outer adsorption structure and the inner adsorption structure, and then the pasters are pasted to workpieces step by step. The pasting mode saves the cost and the processing time of the equipment.

The invention relates to a method for rapidly detecting arsenic content in chemical wastewater, which comprises the following steps: S1, sample pretreatment optimization: taking a chemical wastewater vulcanized liquid sample, and filtering to obtain a sample to be detected; s2, debugging parameters of an energy dispersive X-ray luminoscope: setting an energy detection interval of the luminoscope according to the characteristic X-ray energy range of the arsenic element, and determining an optimal detection time parameter; s3, establishing a standard curve: collecting a plurality of groups of chemical wastewater standard samples with known arsenic content, detecting by adopting an energy dispersion X luminoscope, and drawing and fitting to obtain the standard curve; s4, actual sample detection: putting a to-be-detected sample into the debugged energy dispersive X-ray luminoscope, and obtaining the arsenic element characteristic X-ray intensity of the to-be-detected sample; and substituting the intensity value into a standard curve, and calculating to obtain the content of arsenic in the sample to be detected. According to the method, the operation process is simplified, the labor cost and the error risk are reduced, and efficient and accurate detection of the arsenic content in the chemical wastewater is realized.

The present invention discloses an integrated door lock, comprising: a plate-shaped lock body with multiple mounting grooves, and multiple mechanical parts for cooperating with external opening and external locking are installed along the top and bottom surfaces thereof, wherein the multiple mechanical parts include: a lock body, a housing, a cover plate, an external opening rocker arm, an internal opening rocker arm, a locking push rod, an external locking rocker arm, a locking linkage block, an internal locking rocker arm, and also includes a motor, a worm, and a double gear, and the internal opening and internal locking and the external opening and external locking functions are ultimately realized by the mutual meshing of a ratchet and a pawl; in addition, a ratchet signal micro switch is included, which can realize the signal transmission of the door status information; a micro switch in contact with the internal locking rocker arm can realize the transmission of the door lock locking and unlocking status signals so as to realize the central control function of the vehicle door lock. The door lock of the present invention is an integrated structure, and has the advantages of compact structure, excellent dustproof and waterproof, high transmission efficiency, better control performance, etc., and can be widely used in the field of lock body manufacturing.

The invention discloses a mold motion detection calibration device and a monitoring calibration method, which relate to the field of mechanical measurement technology, and include: an upper machine tool cutting mold component, which forms a corresponding displacement adjustment by cooperating with a dynamic displacement correction component, and enables the whole to be dynamically adjusted according to monitoring data in real time during the operation process, so as to form a multi-dimensional calibration system, enhance the reliability and robustness of the overall mold operation, effectively prevent potential failures, extend the overall service life, and improve the processing accuracy and efficiency. In addition, by cooperating with the upper machine tool cutting mold component and the magnetic monitoring component, the combination of magnetic particles and the magnetic monitoring component is utilized, so that a giant magnetoresistance sensor monitors tiny displacement changes, and fast feedback and processing are achieved through a signal amplification electromagnetic coil and a data processor, which greatly improves the sensitivity and accuracy of displacement monitoring, can effectively deal with tiny deviations in the processing process, and ensure the high quality of mold operation.

The utility model discloses a TBM hob stress real-time monitoring system, comprising a terminal installed in a TBM cutter box and used for obtaining TBM hob force and a rotation angle; the central end is mounted on the inner wall of the TBM shield body and is in communication connection with the terminal; the center end is used for receiving and transmitting TBM hob force monitoring data and sensor angle information; the upper computer is installed in a TBM control room and is in communication connection with the center end; and the upper computer is used for storing and processing the hob force and angle monitoring data and visually displaying the data. The system can be installed on the TBM under the condition that the original design of the TBM is not affected, the real-time stress data of the cutter in the tunneling process of the TBM are monitored, the automation degree of the collecting process is high, and the stress condition of the cutter can be rapidly fed back to TBM operators. Monitoring data are real and reliable, and a basis can be provided for rock mass condition and cutterhead working state recognition and quantitative analysis.

The application discloses a kind of intelligent network connection large-scale open road roadside message existence detection method, comprising: step 1, determine roadside message verification standard;Step 2, collect roadside message data on large-scale open road;Step 3, the sending situation of roadside message data collected, message coverage, message packet loss rate are verified and distinguished using ordinary test and detailed test combined mode;When the sending situation of roadside message data, message coverage, message packet loss rate are verified, only then consider that the roadside message of the point to be measured of the point to be measured meets the requirements.The application establishes a complete process for the daily inspection of roadside message maintenance for large-scale open road, and uses the method of ordinary test and detailed test combination to systematically and completely verify and distinguish the roadside message sending, message coverage and message packet loss rate, which improves the efficiency of the inspection and operation work of the large-scale roadside message detection work and the reliability of the detection work.

The invention discloses a method for optimizing path tracking pre-calculation based on a material parameter technology. According to the method, the rendering efficiency and the image quality are both improved, and meanwhile, higher system flexibility and user friendliness are provided. Due to the technical effects, the method has important application value and competitive advantages in the off-line rendering industry. According to the method, the rendering efficiency and the image quality are improved, and an efficient, simple, convenient and reliable off-line rendering solution is provided for a user through intelligent management and optimization.

The dual-power impact composite drill bit comprises a first-stage drill bit and a second-stage drill bit arranged on the first-stage drill bit in a sleeving mode, and a first thrust cylindrical roller bearing, a rotor, a second thrust cylindrical roller bearing, an anvil, an impact hammer, a spring, a third thrust cylindrical roller bearing and a lower connector are sequentially arranged on a transmission shaft of the first-stage drill bit in a sleeving mode; the first thrust cylindrical roller bearing is arranged between the first-stage drill bit and the second-stage drill bit; a fourth thrust cylindrical roller bearing is arranged between the rotor and the first-stage drill bit; the front part of the rotor is screwed with an outer ring gear and is meshed with an inner ring gear screwed in the secondary drill bit; the second thrust cylindrical roller bearing is arranged between the rotor and the anvil, and the anvil is in threaded connection with the second-stage drill bit pipe body; the third thrust cylindrical roller bearing is arranged between the second-stage drill bit and the lower connector, and the lower connector is in threaded connection with the rear portion of the first-stage drill bit. The double-power rock breaking drill bit is composed of two stages of drill bits, the power of the first-stage drill bit is from a drilling machine or a hole bottom screw drill, the power of the second-stage drill bit is from a built-in rotor, double-power rock breaking drilling is achieved, and the drilling efficiency can be improved.