549 results about "Field detection" patented technology

The invention relates to the technical field of soil heavy metal pollution detection, and discloses a soil heavy metal pollution detection method and system, and the method comprises the steps: collecting an original signal containing a target heavy metal characteristic signal and a plurality of auxiliary background signals; preprocessing the original signal to obtain a preprocessed multi-dimensional signal; analyzing the multi-dimensional signal to identify interference characteristics of the target heavy metal characteristic signal and the auxiliary background signal; according to the interference characteristics of the auxiliary background signal, evaluating the composition and intensity of background interference, and according to the composition and intensity of the background interference, separating a pure signal of the target heavy metal from the background by using a nonlinear compensation algorithm; the target heavy metal pure signal is converted into the concentration value of the target heavy metal, chemical digestion is not needed, complex background interference can be effectively recognized and compensated for for soil heavy metal pollution detection, the accuracy and reliability of field detection are remarkably improved, and errors caused by inaccurate reagent degradation and background deduction in a traditional method are overcome.

The invention relates to the technical field of engineering plastic detection, and particularly discloses an aging detection and evaluation method and system suitable for nylon 6 in a marine environment, the system comprises nylon 6 as a core layer, an aging response color-changing material as a surface layer and a middle layer located between the core layer and the surface layer; the thickness of the middle layer is 200-250 [mu] m, and the composite conductive film is transferred to the position 0.2 mm below the surface of the nylon 6 component in a hot pressing mode; the thickness of the surface layer is 0-200 microns and is realized by spraying an aging response color-changing material solution. By integrating the specially designed aging response color-changing material and the conductive film into the nylon 6 matrix, real-time, visual and efficient detection of the aging process is realized. According to the method, the problem that equipment such as a traditional optical fiber spectrometer is complex and expensive is solved, the convenience of field detection is greatly improved through double signal output of color gradient indication and simple electronic reading, and a brand new technical solution is provided for life prediction and preventive maintenance of nylon 6 components in ocean engineering.

The invention relates to the technical field of semiconductor detection, in particular to a wafer bright field illumination and imaging system, a wafer defect detection device and a wafer defect detection method, the system comprises an illumination module, a beam combining module, an objective lens module and an acquisition imaging module; wherein the illumination module generates an illumination light beam adaptive to a wafer detection view field; the beam combining module realizes non-interference separated transmission of an illumination light path and an acquisition light path through a reflection area and a transmission area which work independently; the objective lens module converges the light beams reflected by the reflection area to the surface of the wafer, and controls the light beams to form illumination only at the edge of an entrance pupil so as to realize off-axis illumination; meanwhile, the reflected light beams on the surface of the wafer are collimated and then transmitted to the transmission area; and the acquisition imaging module receives the parallel light beams, converts optical signals into electric signals, and generates a wafer surface image. According to the invention, the problems of high energy loss, high cost, low detection rate and insufficient resolution of a traditional bright field detection system are effectively solved.

The invention provides a light source multiplexing diamond NV color center wide field detection system and an illumination detection method. The system comprises a diamond containing an NV color center, an exciting light module, a first double-color sheet, an objective lens, a second double-color sheet, a wide field imaging module, an illumination imaging module and a microwave module, exciting light generated by the exciting light module irradiates the first double-color piece, is guided to the objective lens, and irradiates the diamond after being transmitted by the objective lens so as to excite the NV color center of the diamond to generate fluorescent light; the objective lens is of an infinity type; the exciting light is irradiated to a sample to be detected after being transmitted by the diamond; fluorescent light and exciting light from a sample to be detected are collected by the objective lens, then transmitted to the first double-color piece and guided to the second double-color piece through the first double-color piece, the second double-color piece guides the fluorescent light to the wide-field imaging module for imaging, and the exciting light in the second double-color piece is guided to the illumination imaging module for imaging. Illumination can be achieved in the exciting light working state, exciting light switching operation in the prior art is avoided, and efficiency can be remarkably improved.

The invention relates to an electrically-assisted biaxial stretching forming limit testing system and method for a plated plate, and belongs to the technical field of bipolar plate testing.The testing method comprises the following steps that a bipolar plate sample is heated through pulse current and then stretched; and meanwhile, temperature, displacement, load and surface deformation images of the bipolar plate sample during stretching are collected, ultrasonic detection is carried out, and a basic forming limit curve is established based on a plastic instability criterion and is dynamically corrected. Dynamic evolution of necking initiation, expansion and interface failure in the stretching process can be synchronously tracked, actual working condition requirements can be better met, interface thermal mismatch aggravated by Joule heat is avoided, and the influence of insufficient sensitivity of a general ultrasonic algorithm can be made up through multi-physics field detection. The failure criterion is redefined as the critical state of plating-substrate interface separation, and the error of the critical failure point predicted by the forming limit curve is further reduced.

The invention relates to a macro / micro wafer defect detection device, which comprises a macro detection unit, which comprises a macro adjustment assembly, a macro clamping assembly, a light source and a macro camera, and is characterized in that the macro adjustment assembly comprises an R-axis driving mechanism and an F-axis driving mechanism fixedly mounted at the driving end of the R-axis driving mechanism; the macroscopic clamping assembly is fixedly mounted at the driving end of the F-axis driving mechanism, and the macroscopic clamping assembly is used for clamping a wafer; the microcosmic detection unit comprises a microcosmic platform fixedly installed, a first linear driving mechanism fixedly installed on the microcosmic platform, a wafer adsorption mechanism fixed to the driving end of the first linear driving mechanism and a bright and dark field detection mechanism fixedly installed on the microcosmic platform, and the driving direction of the first linear driving mechanism is the horizontal direction; the wafer adsorption mechanism is used for adsorbing a wafer, and the bright and dark field detection mechanism is used for shooting the front and back of the wafer. According to the invention, macroscopic and microscopic detection can be carried out on the surface of the wafer, and the detection efficiency is relatively improved.

The invention provides a GIS equipment partial discharge type classification method based on partial discharge time domain signals, and belongs to the field of partial discharge detection and classification. The problem that the method for judging the partial discharge type through the partial discharge mode spectrogram fails due to the fact that an externally applied voltage signal cannot be obtained in the field detection process is solved. The method comprises the following steps: respectively acquiring time-domain data sets of partial discharge light of a sample in the occurrence process of three partial discharge phenomena of corona discharge, surface discharge and suspension discharge through an experimental platform, and preprocessing the time-domain data sets; adopting a dual-threshold peak searching method to perform dual-threshold peak searching on data in the time domain data sets of the three types of preprocessed partial discharge light to obtain corresponding partial discharge peak data sets, and processing the partial discharge peak data sets into corresponding partial discharge light signal amplitude difference spectrograms; partial discharge type classification is realized through the partial discharge optical signal amplitude difference spectrogram; the method is applied to partial discharge detection of the GIS equipment.

The invention relates to the technical field of electric field detection and early warning. The invention aims to overcome the defect of lack of an electric field detection device under the hot-line working condition of an ultra-high-voltage line in the prior art, and relates to an electric field detection device under the hot-line working condition of the ultra-high-voltage line, which is a non-contact electric field detection device and is used for detecting the electric field under the hot-line working condition of the ultra-high-voltage line in the hot-line working condition of the ultra-high-voltage line. The non-contact electric field detection device takes a microprocessor as a core control unit, and is composed of a double-spherical-shell type electric field sensor, a differential amplifier, a filter circuit, a true RMS conversion circuit, a power supply module and a man-machine interaction circuit. And deep association of data support, function collaboration and scene adaptation is carried out through the structure. The problem that traditional equipment is insufficient in stability in a severe environment is solved, continuous and stable operation of the electric field detection equipment under complex working conditions is achieved, it is ensured that reliable electric field intensity data can be continuously output, and a basic guarantee is provided for operation safety evaluation.

The invention discloses a surface antigen gene StSAG1 of Sarcocystis tenella, the nucleotide sequence of the surface antigen gene StSAG1 is as shown in SEQ ID NO: 1, and according to the analysis result of protein antigenicity and antigen epitope, the 686 bp-1175 bp segment of the StSAG1 gene is selected to construct a recombinant protein expression vector and engineering bacteria; the antigen disclosed by the invention has very strong antigenicity and specificity, and can be subjected to effective antigen-antibody reaction with an antibody generated in serum after sheep (Ovis aries) is infected with sarcosporidium tenella, so that diagnosis is realized; low-titer antibodies can be detected two weeks after infection, and the detection window period is obviously advanced; by adopting the ELISA detection method, a visual result can be directly obtained. The method breaks through the limitation of an infection window period, has the advantages of low cost, high sensitivity, simplicity and convenience in operation, no need of expensive instruments and analysis and the like, is suitable for field detection in primary laboratories and pastures, and is beneficial to industrial production and market popularization and application.

The invention relates to the technical field of semiconductor front channel detection, discloses a dark field detection system and method, and particularly relates to a detection system and a detection method. A calibration image of a bearing object is collected through an image sensor, whether the position of the image sensor has deviation or not is determined based on the spatial change relation between the calibration image and a pre-collected standard image, and the position of the image sensor is adjusted to a target position. An image sensor arranged on the basis of the target position is used for collecting images of the multiple components in the detection system, and the spatial positions of the multiple components are adjusted through the collected images. Compared with the prior art, the embodiment of the invention can solve the technical problems that the camera needs to be reassembled for observation in the processes of stability test, light path debugging and the like of the detection system in the prior art, and the camera is disassembled and assembled for many times and is complicated to debug.

The invention discloses a high-speed camera for semiconductor graph-free dark field detection and a detection method, and relates to the technical field of semiconductor detection, and the method comprises the steps: integrating an adjustable laser light source array, a high-performance TDI camera and a pre-scanning sensor, carrying out the brightness information collection of a pre-scanning region, and generating a pre-scanning reflectivity graph; sequentially irradiating a pre-scanning area with different illumination light through an adjustable laser light source array, generating a plurality of scanning images, and extracting features to generate a multi-modal differential feature field; predicting a main defect type in the region through a multi-mode illumination and defect feature collaborative enhancement algorithm to generate a corresponding illumination mode instruction; calculating an optimal TDI parameter through a TDI parameter dynamic modulation algorithm to generate a TDI camera control instruction; and scanning the wafer according to the two instructions, collecting original image data, inputting the original image data into the depth defect classification model, and outputting a defect information graph and corresponding information. The invention aims to solve the problem that semiconductor detection precision and efficiency are difficult to balance.

The invention relates to the technical field of soil and underground water collaborative monitoring, and discloses a soil and underground water collaborative monitoring stratified sampling and field detection integrated system, which comprises a stratified sampling module, a field detection module, a collaborative data processing module and a central control module, the system is also integrated with an early warning feedback unit. Synergistic stratified sampling of soil and underground water is achieved through the stratified sampling module, samples at different depth layers are automatically obtained through a programmable depth control device and a multifunctional sampler, and meanwhile in-situ rapid detection is conducted by integrating a multi-parameter sensor and a spectral analysis unit through the field detection module. Key indexes are measured in real time, instant feedback and calibration of data are supported, and automation and data accuracy of the monitoring process are guaranteed; soil and underground water monitoring data are fused through the collaborative data processing module, and the risk early warning and decision support capability of the monitoring data is ensured.

The invention discloses a mineral exploration sampling method for mineral geology, and belongs to the technical field of geological exploration. Comprising the following steps: generating a standardized alteration anomaly spatial distribution map; accurate prediction of the mineralization probability is realized, and a mineralization probability distribution diagram is generated; the sampling depth is intelligently determined by combining the alteration-mineralization space relation of the mineralization type, and an initial sampling grid scheme is formed; establishing a digital file including a coordinate position, a sampling depth and geological features for each sampling point; the on-site detection module is controlled to implement on-site sampling according to the optimized sampling grid, and an on-site detection result is obtained in real time; whenever significant deviation exists between the field detection result and remote sensing alteration prediction, the sampling point generating deviation is marked as an abnormal deviation point; if the sampling integrity does not reach the preset exploration standard, dynamically adjusting a subsequent sampling scheme and continuing sampling; and if the sampling integrity reaches the preset exploration standard, generating a final mineralization probability distribution diagram and an exploration sampling report.

The invention provides a banana nutrient deficiency detection method based on a multi-modal enhanced collaborative multi-scale module. The banana nutrient deficiency detection method comprises a data enhancement module which generates new data conforming to real pathological distribution based on a Stable Diffusion technology; the data processing module is used for extracting image multi-resolution features based on a multi-scale feature fusion network; the model optimization module is used for improving the element deficiency differentiation feature capturing capability based on a channel attention mechanism; the model training module dynamically focuses the difficult sample based on a mixed loss function of focus loss and cross entropy, and optimizes model training in a sample imbalance scene; the model application module is used for deploying a model to a WeChat applet based on model lightweight design to realize convenient detection of a mobile terminal; finally, the method is based on an MS-ConvNeXt model constructed by the modules, so that the accuracy of leaf element deficiency detection is greatly improved, and the convenience of field real-time detection is met.

The invention discloses an ocean jacket platform structure damage identification method and system, and belongs to the technical field of ocean platform structure damage identification, and the method comprises the steps: obtaining different types of reference data in a reference database through classification, and determining the statistical values and damage thresholds of damage sensitive features corresponding to the different types of reference data; when the damage sensitive characteristic statistical value corresponding to the test data is greater than the damage threshold value corresponding to the reference data of the current category, judging that the jacket platform structure is damaged, and starting an on-site detection and maintenance process; when no damage is actually detected on site, taking the test data as a new working condition sample, putting the new working condition sample into the reference database, and updating the category label; and otherwise, taking the test data as normal data, classifying the normal data, and incorporating the normal data into the reference data of the corresponding category. According to the method, the influence of the excitation environment change on the structural damage identification result is considered, and the uncertainty of the structural damage identification result of the ocean platform is greatly reduced.

The application relates to an organic polymer for rapid detection and degradation of mercury ions, and belongs to the technical field of preparation and application of organic functional materials. The structural formula of the organic polymer is shown as formula (IV); the luminescence performance of the polymer is derived from a conjugated organic polymer skeleton, and the recognition function for mercury ions is derived from a sulfur hydrocarbon chain embedded in the organic polymer skeleton. The polymer has high chemical stability and thermal stability, and can be repeatedly used for multiple cycles. The organic polymer is used for detecting and degrading mercury ions, and has the advantages of simple operation, low cost, short detection and degradation time, real-time detection, field detection and the like, and is easy to popularize and apply.

The invention discloses an agricultural machinery braking performance detector based on a Beidou satellite single-point positioning mode, and belongs to the technical field of braking performance detection. The agricultural machinery braking performance detector comprises a signal collector and a host, and the signal collector is internally provided with a satellite signal receiving module compatible with a BDS and a GPS; a sequence parameter extraction module, an integral distance measurement module, an error correction module, a slope calculation module and a performance evaluation module are arranged in the host; the method comprises the following steps: collecting three-dimensional motion data of a detected agricultural machine, calculating an uncorrected braking distance by using a complex Simpson integral algorithm, obtaining an error correction distance caused by single-point positioning signal drift based on a back propagation neural network, calculating the braking distance of the agricultural machine in combination with a slope correction value, and finally judging that the braking performance of the detected agricultural machine is qualified. According to the method, a ground differential base station and an external supporting assembly do not need to be erected, the problem that field detection deployment is tedious is solved, signal drifting and road slope interference are eliminated, and detection convenience and accuracy are improved.

The invention provides a carrier concentration database establishing method, a carrier concentration testing method and a carrier concentration testing system.The carrier concentration database establishing method comprises the steps that theoretical models of a finite dipole model and a Deroude model are established, adjusting the effective length of the probe of the theoretical model and the ratio of the effective inductive charge to the total inductive charge to calculate a standard sample with known carrier concentration to obtain a plurality of pieces of first spectral information; detecting second spectral information of the standard sample by adopting a terahertz near-field detection device; fitting the first spectral information and the second spectral information to obtain an optimal fitting model corresponding to the current carrier concentration; and repeating the steps, and establishing the carrier concentration database. According to the invention, the near-field scattering signal and the interaction between the probe and the sample can be better represented, the error problem caused by only using the formula for calculation can be effectively overcome, and the calculation accuracy of the semiconductor carrier concentration can be further improved.

The invention discloses an infrared camera low-power-consumption triggering method based on dynamic PIR detection and AI verification, and aims to solve the problem of high power consumption in a traditional infrared camera monitoring method. And carrying out dynamic PIR monitoring and AI target identification. Specifically, the method has a double-layer judgment mechanism of hardware-level PIR triggering and software-level AI verification, and a dynamic infrared triggering algorithm is a multi-mode self-adaptive triggering algorithm which integrates three data modes of PIR signal strength, time sequence analysis and environment temperature compensation and dynamically adjusts a triggering threshold value according to historical false triggering records. In addition, different field examples are used for testing algorithms and generating detailed monitoring reports, the availability and value of data are further improved, intelligent triggering of the infrared induction camera can be achieved through the method, the method is suitable for unattended field detection scenes, powerful support is provided for ecological protection and environment monitoring data collection, and the method is suitable for popularization and application. And deep research and wide application in the field of wild animal monitoring are promoted.

The invention relates to a wafer defect detection optical system, which comprises an imaging assembly, a detection assembly and an illumination assembly, the illumination assembly is used for forming bright field illumination and dark field illumination, the bright field illumination respectively forms reflection bright field illumination and transmission bright field illumination under reflection and transmission conditions, the imaging assembly is located on an imaging path of a to-be-detected wafer, and the detection assembly is located on the imaging path of the to-be-detected wafer. The imaging assembly is used for imaging a wafer to be detected, and the detection assembly is used for collecting an imaging picture on the imaging assembly; the lighting assembly comprises a first light source, a second light source and a third light source. The first light source is used for providing a light source during reflection of bright field illumination, the second light source is used for providing a light source during dark field illumination, and the third light source is used for providing a light source during transmission of bright field illumination. According to the wafer defect detection optical system, under the condition of the same detection station, pure bright field detection, phase deflection detection, dark field detection and light transmission detection can be provided; and the process adaptability of detecting different defect types is improved.

The invention discloses a rice leaf disease detection method and system based on improved YOLOv11, belongs to the technical field of agricultural intelligent detection, and solves the problems that fine-grained features are lost due to traditional downsampling, a spatial pyramid pooling module is limited in perception of diseases of different sizes, neck network feature fusion is insufficient, and the detection accuracy is poor. Therefore, the problems of complex background interference and low small target disease recognition precision are solved. According to the method, a data set containing eight types of rice leaf diseases is constructed, YOLOv11 is improved, a model is trained to detect the diseases, a PyQt5 visualization system containing six modules is further developed, and detection and prevention and treatment recommendation is supported. According to the method, the detection precision is high, the mAP of the improved model reaches 94.5% and is improved by 3% compared with the original YOLOv11, and the accuracy of diseases difficult to recognize is remarkably improved; the robustness is high, and the omission ratio is reduced by 2.5%; the system is simple to operate, supports multi-input and parameter configuration, provides a control strategy, and can be efficiently used for field detection.

The invention belongs to the technical field of pipeline corrosion detection, and particularly relates to a phased array detection method for an anti-corrosion coating on the inner wall of a pipeline. Collecting the information of the detected pipeline: dividing the pipeline into a straight pipe section, a bent pipe section and a variable-diameter pipe section; the reference test block is made of a material in the same furnace and the same batch as the detected pipeline, the acoustic performance of the reference test block is consistent with that of the detected pipeline, and a plurality of non-anticorrosive coating areas are engraved on the reference test block and used for setting sensitivity; selecting a multi-channel device, wherein the device has a partition scanning function; a phased array and full-focus detection are utilized to realize the detection of the whole volume of the anticorrosive coating in the pipeline without dividing defect types; setting a focusing depth according to the detected pipeline, and calculating an optimal focusing aperture; verifying the detection capability; carrying out field detection; integrating multiple groups of data acquired on site, and establishing a three-dimensional imaging result; and analyzing the three-dimensional imaging, and evaluating and feeding back the service state information of the anticorrosive coating of the detected pipeline. According to the invention, the problems of missing detection, incomplete coverage and incapability of detection in the prior art are solved.

The invention relates to the technical field of antennas, in particular to a millimeter wave FPC multi-domain self-adaptive tuning antenna and a tuning method thereof, and the method comprises the following steps: S1, constructing an antenna initial topology and frequency model; s2, generating a bionic structure by adopting a topological self-growing algorithm based on the power density distribution; s3, a tuning material with a physical response characteristic is embedded, and impedance and frequency are adjusted by externally stimulating the tuning material; s4, arranging a liquid metal microfluidic channel in the key area, and dynamically reconstructing a conduction path; s5, combining AI image recognition and near field detection to obtain antenna state data; and S6, inputting the acquired antenna state data to an optimization control unit for closed-loop tuning. According to the millimeter wave FPC antenna, structure self-adaption and frequency self-tuning of the millimeter wave FPC antenna in a complex environment are achieved, and the problem that a traditional antenna is unstable in performance in disturbance and frequency change scenes is effectively solved.

The invention relates to the technical field of curtain wall detection, in particular to a construction and detection integrated method for a low heat transfer coefficient building curtain wall, and the method comprises the steps: detecting the realization quality of a thermal bridge cutoff structure of a curtain wall through a thermal bridge cutoff detection model in a pre-construction stage; detecting the continuity and leakproofness of the curtain wall thermal insulation system through a thermal insulation and leakproofness field detection model matched with the thermal bridge cutoff detection model in the construction stage; the root cause of the curtain wall defect is diagnosed according to the quality, continuity and leakproofness of the thermal bridge cutoff structure; and dynamically optimizing parameters of the thermal bridge cutoff detection model and the thermal insulation and leakproofness field detection model according to the obtained defect root cause, and predicting machining process abnormality and construction process abnormality by using machining data and construction data.

The invention discloses a flow field sensor, and relates to the technical field of flow field detection, the flow field sensor comprises at least one flow field sensing unit, each flow field sensing unit comprises a base, two clamped beams, a mounting table, an optical fiber segment and a tactile sensing element, each clamped beam is arc-shaped and hollow, two ends of each clamped beam are fixedly connected with the base, and the mounting table is fixedly connected with the optical fiber segment. The two clamped beams of each flow field sensing unit are oppositely arranged, the clamped beam of each flow field sensing unit is bent towards one side far away from the other clamped beam, and the clamped beams are symmetrically arranged relative to the first symmetric surface; at least part of each optical fiber section is arranged in the clamped beam in a penetrating manner, and each optical fiber section is provided with two fiber bragg gratings (FBGs) which are symmetrically arranged relative to the first symmetric surface and have different central wavelengths; each mounting table is fixedly connected with the middle sections of the two clamped beams; one end of each tactile sensing element is fixedly connected with the mounting table, and the other end of each tactile sensing element is used for being placed in fluid. The structure and the control process are simplified, and the displacement sensitivity is multiplied.

The invention provides a muon detector scintillator self-checking method, and relates to the field of muon detectors, and the method comprises the steps: constructing a muon scintillator self-checking model, and determining the number of actually measured muons through the muon scintillator self-checking model; introducing a solid angle correction factor, and correcting the actually measured muon number to obtain a geometrically corrected muon number; and calculating an average value and a variance of the muon number after geometric correction, and obtaining a scintillator self-inspection result of the muon detector in combination with an anomaly evaluation function. The technical scheme of the invention is suitable for health monitoring in the field long-term detection operation process of the scintillator, and can find the abnormality of the scintillator in time, thereby avoiding the waste of detection time, and improving the reliability of data.

The invention discloses an underwater archaeological detection and identification simulation system based on an underwater cultural relic experiment model, and relates to the technical field of underwater archaeological detection.The underwater archaeological detection and identification simulation system comprises a detection management platform, and the detection management platform is in communication connection with the following modules: a cultural relic experiment model library building module, a cultural relic experiment model library building module and a cultural relic experiment model library building module, establishing a standardized and parameterized underwater cultural relic digital model library; and the multi-mode detection simulation module is used for simulating the response of acoustic, optical and electromagnetic detection technologies in the underwater environment. By constructing the standardized underwater cultural relic digital model library and combining geometry-material modeling and burying state configuration, accurate simulation of physical attributes and burying scenes of underwater cultural relics is realized, so that a simulation environment is closer to a real underwater condition, and the simulation efficiency is improved. The problems that traditional field detection depends on artificial diving, is low in efficiency and is limited by diving depth and time are effectively solved, and the trueness and reliability of detection simulation are remarkably improved.

The invention discloses a method for rapidly judging the sensitization effect of an on-site mixed emulsion explosive. The method comprises the following steps: S1, a laboratory calibration stage: simulating an on-site sensitization process to prepare a calibrated explosive sample; the sampling device collects and calibrates explosive samples, the millimeter graduated scale is arranged above the sampling device, and the camera shoots and counts the number of bubbles; detecting the density and the detonation velocity, and establishing an incidence relation of bubble number-density-detonation velocity in the specified millimeter scale and a qualified range; s2, an on-site detection stage: calibrating a millimeter graduated scale, camera equipment and a sampling device which are consistent in specification in a laboratory; the sampling device collects an on-site explosive sample, the graduated scale is arranged above the sampling device, the camera shoots and counts the number of bubbles, and the sensitization quality is judged by comparing with a laboratory calibration association relationship. According to the invention, the problems of long detection period of a traditional laboratory, strong subjectivity of existing field detection and high requirement on professional level of detection personnel can be solved, and real-time, accurate and low-cost detection of field sensitization quality is realized.

This invention relates to a portable on-site detection device and method for Lu-177 radionuclide activity. The detection device includes a gamma detection assembly and a circuit board installed within a housing. The gamma detection assembly comprises several pieces, each housing a gamma detection module. The space formed by the gamma detection assemblies serves as a sample chamber, with a central slot for holding a Lu-177 carrier bottle. The gamma detection module employs a combination structure of a GAGG:Ce scintillator and a silicon photomultiplier tube (SiPM). The circuit board houses a connection module between the circuit board and the gamma detection assembly, a power conversion module, a signal summing circuit for the gamma detection assembly, a digital multichannel module, and a data analysis and transmission module. The testing method includes five steps, including device initialization. The beneficial effects are that it provides technical support for accurate pre-administration dose verification of Lu-177, ensuring medication safety for patients undergoing radionuclide therapy and improving the quality of clinical nuclear medicine treatment.

Systems and methods are disclosed to receive a training data set comprising a plurality of document images, wherein each document image of the plurality of document images is associated with respective metadata identifying a document field containing a variable text; generate, by processing the plurality of document images, a first heat map represented by a data structure comprising a plurality of heat map elements corresponding to a plurality of document image pixels, wherein each heat map element stores a counter of a number of document images in which the document field contains a document image pixel associated with the heat map element; receive an input document image; and identify, within the input document image, a candidate region comprising the document field, wherein the candidate region comprises a plurality of input document image pixels corresponding to heat map elements satisfying a threshold condition.