20 results about "Multi detector" patented technology

The utility model relates to the technical field of nondestructive detection equipment, in particular to a multi-detector mounting rack. Comprising a base and a power mechanism, a supporting column is rotationally arranged on the base, the power mechanism drives the supporting column to rotate on the base, a supporting plate is fixed to the supporting column, detectors are arranged on the two sides of the supporting plate, and the positions of the detectors relative to the supporting plate can be adjusted up and down. The multiple detectors can be conveniently and rapidly switched, the detection device can conveniently cope with various different use scenes such as detection objects of different sizes and different materials, and therefore the detection efficiency is effectively improved.

The invention relates to the technical field of detectors, and discloses a muon momentum reconstruction method based on particle tracks, which comprises the following steps of: 1, researching and developing an efficient energy detector, and processing position information of muons by adopting Kalman filtering and a REST framework in a gas time projection chamber so as to improve the energy measurement accuracy; 2, introducing a dynamic energy measurement algorithm, developing a self-adaptive algorithm, adjusting energy measurement parameters according to real-time feedback, optimizing muon energy estimation by using Kalman filtering, and reducing background noise influence at the same time; 3, realizing multi-detector array integration, designing a multi-detector array with reasonable layout, ensuring synchronous data acquisition, and enhancing the reliability of a measurement result by using cross validation; 4, data analysis is conducted through the machine learning technology, and a machine learning model is constructed and trained. According to the method, the energy of incident muons is estimated through Kalman filtering, the energy of the muons is screened when the muon scattering imaging technology is applied, and the imaging precision is improved.

The invention provides a multi-detector radioactive source positioning method and system based on a particle filter algorithm, and the method comprises the following steps: defining a to-be-monitored physical space as a search region, and building a radiation measurement model; randomly generating a particle set in the search area, wherein each particle comprises assumed radioactive source position coordinates and estimated activity parameters; a mobile platform carrying a plurality of radiation detectors is controlled to move in the area, the total count value of actual measurement of each detector is obtained, and the weight of each particle in the particle set is calculated by using the radiation measurement model and the actual measurement values; acquiring an environment background count value, calculating a ratio of an actual measurement value to a background value, and only when the ratio exceeds a preset signal-to-noise ratio threshold value, performing resampling on the particle set; judging whether the particle set meets a positioning ending condition or not, and if yes, determining a radioactive source positioning result by using the particle parameter with the highest weight and outputting the radioactive source positioning result; and if not, taking the weight gathering center as the next target position, and controlling the mobile platform to move towards the next target position.

This invention relates to a dual-embedded composite detection system, belonging to the field of electron microscopy technology. It effectively combines electron detection, EDS detection, and fluorescence detection, achieving simultaneous detection of the same location on the sample by multiple detectors, and efficiently collecting signals to obtain high-quality image information. The system includes: an electron source, an electron accelerating electrode, an objective lens, an EDS detector, a direct electron detector, a sample, a sample stage, and a control unit. Both the EDS detector and the direct electron detector are obliquely inserted inside the objective lens, with their probes close to the objective lens's detection port. The sample stage, the EDS detector, the direct electron detector, the electron source, and the objective lens are all connected to the control unit. The objective lens has a daguerreotype on its internal pole piece, and reflective cones are located at the bottom ends of both the inner and outer annular walls of the objective lens's detection port.

The invention discloses a multi-detector compatible high-integration SNSPD automatic control system, which is characterized in that an ultra-low-temperature part SNSPD receives an optical signal and outputs an electric signal pulse to a pulse preprocessing circuit, a low-temperature part is provided with a low-temperature amplifier, and the input end of the low-temperature amplifier is connected with the pulse preprocessing circuit; the room temperature part is provided with an SNSPD signal reading and processing module based on a single-chip microcomputer, the SNSPD signal reading and processing module amplifies signals transmitted in a low-temperature area, the signals pass through a comparator and then are connected to a counter, the single-chip microcomputer synchronously transmits data of the counter to an upper computer and a lower computer, meanwhile, the single-chip microcomputer controls a DAC to output SNSPD bias voltage, terminal voltage signals are read through an ADC, current flowing through the SNSPD is obtained through calculation, and the current is transmitted to the lower computer. The optimal working point of the SNSPD is dynamically and automatically maintained by detecting a critical current and an optical count value from a superconducting state to a normal state. The system has the advantages of multi-detector compatibility, high integration level, automatic control and the like.

Aspects of the disclosure relate to a method for understanding the response of any multi-detector device to activated oxygen. The method relies on an expression of a three-dimensional distribution of activated oxygen from fast neutron, and on the expression of three-dimensional gamma ray detection efficiency. A realistic model is derived for the signals measured in the detectors as function of the device-to-oxygen differential velocity.

The invention relates to an uncertainty-driven asteroid visual full-coverage intelligent decision planning method. The method comprises the following steps: initializing a multi-detector state and asteroid surface Fisher information conditional probability distribution; multiple constraints are considered, and a Fisher environment information gain is used for guiding multiple detectors to carry out trajectory planning and environment information acquisition; the Fisher information of the asteroid surface and the uncertainty distribution of the surface environment are continuously updated by utilizing the environment perception information; calculating rewards according to environment feedback, and performing detector detection path decision planning learning and decision model updating by using a reinforcement learning model; evaluating that the Fisher information entropy on the surface of the asteroid is wholly lower than a threshold value or the fuel budget is about to be exhausted, determining that the training process is ended, and storing a decision planning model; and testing an asteroid full-coverage decision planning model which is generated by training and is defined based on a Fisher information model and is driven by environmental uncertainty. According to the invention, the multi-detector based on Fisher information model uncertainty feedback carries out surface visual full-coverage path planning on the asteroid.

The application provides a self-adaptive smoke fire detection method suitable for ancient building environment, and relates to the technical field of fire detection, and comprises the following steps: collecting smoke concentration data of a smoke detector in an ancient building environment, removing invalid data by using an SPC statistical process control method to obtain an optimal data set; based on the optimal data set, calculating the correlation support degree between each smoke detector, and constructing a support matrix; the application effectively removes invalid data by using an SPC control chart, objectively evaluates the reliability of the detector based on the correlation support degree, dynamically integrates multi-sensor information by using a self-adaptive weighted fusion algorithm, and designs a trend threshold algorithm and a field model analysis algorithm for single detector and multi-detector scenes respectively, so that the fire determination strategy and the alarm threshold can be adaptively adjusted according to real-time environmental parameters and interference characteristics, the high sensitivity to real fire is retained, and frequent false alarms caused by traditional use of fire, ventilation airflow and humidity change are effectively inhibited.

Methods and systems are provided for a sample holder for a multi-detector quantitative microscopy system. In one example, the sample holder includes a frame with a central opening, a pivotable arm positioned adjacent to the central opening and having a whippletree assembly at a first end of the pivotable arm, and a movable ram, in contact with a second end of the pivotable arm, the movable ram configured to pivot the pivotable arm.

This invention discloses a violet-infrared flame detector system and its fault detection method based on multi-source information fusion and mutual verification, belonging to the field of fire alarm technology. The system includes multiple violet-infrared flame detectors and a system controller. Each detector stores orientation identification information and a list of adjacent orientations. The detectors form a verification network with detectors of the same orientation through a communication module and establish data exchange links with detectors of adjacent orientations. The data processing module uses statistical methods to calculate the mean and standard deviation of UV pulses in a reference group, constructs a dynamic confidence interval, and compares its own pulse count with the dynamic confidence interval. This invention effectively solves the problem of false alarms caused by interference from a single detector through multi-detector mutual verification, multi-spectral information fusion, and a system self-healing mechanism, significantly improving the reliability and safety of the flame detection system.

The invention discloses a cantilever beam photoacoustic gas detection device, and relates to the technical field of photoacoustic spectrum detection. The detection device comprises a multi-wavelength laser, a beam combining assembly, a lens, a roof-shaped prism, a photoacoustic cell with a built-in cantilever beam, a light splitting assembly and a plurality of detectors. Multi-wavelength laser beams are combined, converged through the lens and divided into two beams through the prism, the two beams irradiate the suspended detection end and the fixed frame of the cantilever beam respectively, gas absorbs laser energy to generate sound waves to drive the detection end to vibrate, dynamic interference fringes are formed, the light splitting assembly separates all wavelength fringes, and the multiple detectors collect signals synchronously. The cantilever beam photoacoustic gas detection device provided by the invention is used for improving the detection sensitivity.

The invention discloses a multi-detector data acquisition method, a coincidence processing method, a reconstruction method, a system, imaging equipment, electronic equipment and a storage medium. The multi-detector data acquisition method comprises the following steps: providing a unified memory pool for a plurality of detectors of imaging equipment; continuously receiving detection event data from the plurality of detectors; and writing the detection event data from the plurality of detectors into the unified memory pool according to the arrival time sequence. According to the scheme provided by the invention, time serialization writing and physical continuous storage of the data to the unified memory pool are realized, the calculation overhead of multi-path merging sorting is eliminated, the time complexity of data reading is remarkably reduced, and thus the data acquisition efficiency of a multi-detector system is remarkably improved.

The invention discloses a single-ball neutron spectrometer electronic system, and compared with the prior art, the single-ball neutron spectrometer electronic system is provided with a plurality of independent signal processing channels respectively corresponding to a detector 1, a detector 2,..., and a detector n; the method comprises the following steps: converting and amplifying each path of signal through a charge sensitive preamplifier, correcting the waveform through a polar zero cancellation circuit, outputting a standard pulse through a pulse conditioning module, and respectively sending the standard pulse into a counting module channel 1, a counting module channel 2,..., a counting module channel n in an FPGA (Field Programmable Gate Array) for parallel counting, a counting result is written into an n-channel data RAM (Random Access Memory) cache, is stably operated under the guarantee of clock and Flash configuration, and is finally transmitted to an upper computer through an Ethernet module according to TCP / IP (Transmission Control Protocol / Internet Protocol); and meanwhile, the low-ripple power supply module supplies power to each link so as to reduce noise interference, so that the integrity and stability of counting data acquisition of the multiple detectors are ensured from the structure and the data flow path.

The invention belongs to the technical field of aerospace, and particularly relates to a link time delay calibration method for differential interference measurement of double spacecrafts, which comprises the following steps: determining observation time; setting observation parameters; tracking a calibration radio power supply and a spacecraft to obtain original data of respective signals to be subjected to interference processing; performing interference processing on the original data of the spacecraft to obtain a corresponding interference phase; and calculating the differential interference time delay of the two spacecrafts according to the type of the calibration signal. The method is suitable for link time delay calibration of differential interference measurement of double spacecrafts without fine design of downlink signal frequency points. The method is applied to the conditions that downlink signal frequencies of double spacecrafts are different and interference measurement channels are different, the link time delay is solved by taking a target as an object, target interference measurement processing time delay is calibrated respectively, and high-precision differential interference measurement of the double spacecrafts is supported. The method is suitable for multi-detector differential interference measurement of different downlink signals, and the measurement precision can be greatly improved.

This invention belongs to the field of well logging control technology, specifically relating to a TNIS Plus control method for thermal neutron imaging saturation logging. Applied to a well logging system including a remote transmission sub, an acquisition sub, and a high-pressure control sub, the method initiates initialization and magnetic positioning calibration by issuing a start command, performs magnetic temperature normalization, and controls the neutron generator to emit thermal neutron beams according to a dynamic pulse timing sequence. The high-pressure control sub provides the anode voltage. Based on timestamps, a multi-detector timing acquisition window is triggered, and sliding integration, energy spectrum layering filtering, and abnormal pulse shielding are performed on the detection data to form structured measurement subframes, which are then encapsulated and uploaded. When a high air recovery rate is detected, compensation sampling logic is automatically triggered to extend the sampling window and adjust the voltage threshold, improving the signal-to-noise ratio and spectral quality. This method achieves high-precision acquisition and stable transmission of well logging data, providing a reliable data foundation for formation water saturation inversion.

The present application provides a kind of multi-probe image data transmission method, communication instruction sent by imaging control unit to multiple probe units contains time parameter, and also increase a synchronization pulse for reducing the error accumulation caused by communication instruction receiving interval, utilize synchronization pulse so that each probe unit obtains the same time parameter at synchronization pulse moment, keep time by crystal oscillator, and agree to pack transmission with unit of line in image data transmission process.The present application corrects the data transmission time of different detectors, effectively reduces the time interval of different detector transmission data, facilitates image splicing, in addition, the present application also carries out image data transmission with unit of line, reduces the requirement of imaging control unit to image cache ability.

This application provides a method and apparatus for radon source localization and intensity estimation using a multi-detector array. The method includes: acquiring *a* valid reference events detected by the multi-detector array within a preset time period; the multi-detector array includes N detection nodes; performing spatiotemporal clustering on the *a* valid reference events to obtain *b* candidate homologous event clusters; filtering and analyzing the *b* candidate homologous event clusters based on the target space corresponding to the multi-detector array to obtain *c* event spatial coordinates; generating a three-dimensional density map of event point clouds based on the *c* event spatial coordinates; determining the location of the radon release source based on the local maxima of the three-dimensional density map of the event point cloud; and determining the relative release intensity corresponding to the location of the radon release source based on a preset diffusion decay model. By identifying radon sources through the spatial localization and density distribution of decay events, the accuracy of radon release source localization and intensity estimation is effectively improved.

This invention relates to the field of multi-detector cooperative control technology, and more particularly to a multi-robot cooperative exploration method for addressing positioning uncertainty and unknown requirements. The method linearizes sampled data containing nonlinear disturbances by designing an observation function and incorporates positioning errors into the covariance matrix of an extended Kalman filter, thereby correcting estimation errors caused by positioning uncertainty online. In the control phase, an alternative density function is constructed by calculating adaptive transition parameters, enabling the rover to automatically and smoothly switch from large-scale exploration to area coverage as environmental uncertainty decreases. Furthermore, precise coverage parameters are superimposed, and low-level control commands are generated by combining the rover's own nonholonomic kinematic constraints. Implementation results show that this invention can effectively improve estimation accuracy, coverage efficiency, and system stability in unknown environments with low computational overhead.