81 results about "Gamma energy" patented technology

The invention discloses an ocean in-situ radioactivity monitoring method, which is characterized in that feature extraction is carried out based on a maximum likelihood expected value maximization (MLEM) algorithm, and spectrum unfolding operation is carried out by adopting a multi-layer perceptron. The method comprises the following steps: firstly, measuring FWHM related parameters of a CeBr3 detector by adopting a standard source, simulating the response of the detector to gamma rays in a marine environment based on a Monte Carlo method, and establishing a full-spectrum response matrix H in a range of 0-2048keV; based on the response matrix H, reconstructing a gamma energy spectrum y obtained by the detector by using an MLEM iterative algorithm; and the reconstructed spectrum is used as the input of a multi-layer perceptron (MLP), and qualitative and quantitative analysis of radionuclides in the energy spectrum is realized. According to the method, the discrete characteristic peak signal is convolved into the single path address corresponding to the characteristic energy, so that the accuracy of the MLP model in the spectrum unfolding process is effectively improved.

The invention relates to the technical field of gamma-ray spectrum analysis, particularly provides a gamma-ray detector activation analysis method and a PGNAA detection system, and aims to solve the problems that gamma rays obtained by detection of an existing gamma-ray detector comprise rays generated by decay of crystals after activation in a neutron field; therefore, the component detection result of the to-be-detected sample is not accurate. In order to achieve the purpose, the activation analysis method for the gamma detector comprises the steps that a to-be-detected sample is irradiated through a neutron source; repeatedly collecting a plurality of groups of gamma-ray energy spectrums of the sample to be detected by using a gamma-ray detector; constructing an energy spectrum signal matrix based on the gamma-ray energy spectrum of the to-be-detected sample, wherein the energy spectrum signal matrix is a mixed signal composed of instant gamma rays generated by neutron activation of the to-be-detected sample, environmental background gamma rays and interference signals generated by crystal activation in a gamma detector; and obtaining the effective instant gamma ray based on the energy spectrum signal matrix. The self-interference influence of the detector is effectively reduced, and the target element content evaluation precision of the to-be-detected object is improved.

The invention discloses a MeV-level wide-energy-spectrum gamma energy selection amplification imaging system and a design method thereof. The technical problem that an existing gamma ray beam energy selection imaging device is low in detection efficiency is solved. The imaging system comprises a radiation conversion unit, an energy selection beam amplification unit and an imaging unit, the radiation conversion unit is a radiation conversion target and is used for converting gamma rays from a to-be-detected target into electron beams; the energy selection beam amplification unit comprises a collimator, a first magnet and a second magnet which are sequentially arranged along the transmission path of the electron beam; the collimator is used for limiting the collection angle of the electron beam; the parameter specifications of the first magnet and the second magnet are different, the first magnet and the second magnet are respectively used for changing a transmission path of an electron beam through a magnetic field, and a first beam limiting device is arranged between the first magnet and the second magnet and is used for removing electrons which can be dispersed in the y direction and are large in angle; and a second beam limiting device is arranged between the imaging unit and the second magnet and is used for removing electrons which can be dispersed in the x direction and have large angles.

The invention is suitable for the technical field of gamma energy spectrum correction, and provides a lanthanum bromide detector gamma energy spectrum correction method based on LSTM, and the method comprises the following steps: carrying out the data preparation and pretreatment of a lanthanum bromide detector gamma energy spectrometer; constructing an LSTM network model, and training and testing the LSTM network model; and importing unknown actually measured original energy spectrum data of the lanthanum bromide detector gamma spectrometer into the trained LSTM network model, and predicting corresponding nuclide energy spectrum data. The problems of energy spectrum background, spectral line drifting, noise and the like existing in data collected by the lanthanum bromide detector gamma spectrometer are effectively solved. According to the invention, the method achieves the quick and stable correction of the gamma energy spectrum through the memory and processing capability of the LSTM network, can quickly obtain the nuclide spectral line used for determining the characteristic peak and peak area of the radionuclide, remarkably reduces the interference of human factors in the processing of energy spectrum data, and improves the accuracy and efficiency of data processing.

The invention relates to the technical field of precision agriculture, and provides a variable rate fertilization prescription map generation method and system based on a gamma-ray energy spectrum. The method comprises the following steps: acquiring field data through a gamma-ray energy spectrometer, a soil sensor and remote sensing equipment, and predicting spatial distribution of available nutrients in soil by adopting feature fusion and a machine learning model; calculating a target yield fertilization amount based on a nutrient balance method; calculating the fertilizer shortage corrected by the soil texture; carrying out weighted fusion on the graded fertilization amount and the economic optimal fertilization amount to generate a recommended fertilization amount and making a prescription map; precise fertilization control is realized through a positioning and control algorithm in combination with feed-forward compensation or a Smith predictor; and an active learning strategy is adopted to identify a high-uncertainty region, and verification is preferentially carried out to continuously optimize the model. According to the method, soil spatial variation, crop requirements and economic benefits are integrated, accurate fertilization recommendation is realized, the fertilizer utilization rate is effectively increased, and the economic benefits are guaranteed.

The invention provides a while-drilling radioactive logging system, a logging method and a drilling tool assembly, and belongs to the technical field of oil-gas exploration, and the system comprises at least one perovskite semiconductor detector which is used for directly absorbing gamma rays from a stratum and generating corresponding electric pulse signals; the electronics module is electrically connected with the perovskite semiconductor detector and used for processing the electric pulse signal to obtain while-drilling radioactive logging data, and the while-drilling radioactive logging data comprises at least one of natural gamma counting data, natural gamma energy spectrum data and gamma-gamma density data; the protection packaging body comprises a metal shock-resistant and high-pressure-resistant shell, a heat insulation and heat preservation layer and a heat channel which are arranged in the metal shock-resistant and high-pressure-resistant shell, and a high shock-resistant and impact-resistant connecting piece for fixing internal devices, and the protection packaging body is used for accommodating the perovskite semiconductor detector and the electronics module; and the safety and the accuracy of radioactive logging while drilling are improved.

The utility model discloses a storage type gamma magnetic positioning combined logging instrument which comprises a shell, a thermos bottle and a CCL magnetic detection assembly are fixedly arranged in the shell, and a gamma detection assembly and a circuit module are arranged in the thermos bottle and used for collecting, processing and storing gamma data and CCL signal data. The gamma detection assembly is arranged below the circuit module; the gamma detection assembly and the CCL magnetic detection assembly are electrically connected with the circuit module. The two ends of the shell are provided with a protective cap and a protective plug in a threaded connection mode respectively. According to the storage type gamma magnetic positioning combination logging instrument, the two logging units of the gamma energy spectrum instrument and the CCL instrument are designed and combined into one logging unit, the length of the instrument is shortened, the logging construction risk is greatly reduced, the pumping-out or direct pushing technology is adopted, real-time data storage is achieved in the logging process, and the logging efficiency is improved. The defects existing in cable type logging are well overcome.

The invention relates to the technical field of space environment detection, in particular to a photoelectric sensor for gamma-ray spectrum measurement, which comprises a gamma-ray photon absorption transmission structure, a photoelectric conversion structure and an electric signal output structure, and is characterized in that the gamma-ray photon absorption transmission structure comprises a crystal sealing glass window, a crystal structure assembly and a crystal gland; the photoelectric conversion structure comprises a photoelectric tube first fixing ring, a photoelectric tube assembly, a photoelectric tube second fixing ring and a photoelectric tube gland; the electric signal output structure comprises an electric signal front-end processing board, a supporting column, a mounting base and a signal output lead. The overall structure of the sensor adopts upper, middle and lower three-position connection, so that the assembly precision and reliability of the whole machine are improved; seamless connection between the crystal and the photomultiplier tube is realized through a photoelectric coupling glue potting mode, and multiplication of gamma photon signals and photoelectric conversion efficiency are improved.

The present invention specifically relates to a method for delineating abnormal halos in ground gamma spectrum measurement work, comprising the following steps: using multivariate information fusion technology to design a gamma spectrum measurement route based on a conventional gamma spectrum measurement route; carrying out measurement work of the gamma spectrum measurement route in a work area according to the gamma spectrum measurement route; conducting on-site verification of known radioactive anomaly information that has not been discovered to check for leaks and fill in the gaps; further screening out radioactive anomalies and conducting on-site repeated inspections and measurements and mineralization point inspections; processing and analyzing gamma spectrum measurement data and combining the inspection results to delineate abnormal halos; comprehensively sorting abnormal halos; and finally combining other geological information to conduct comprehensive long-term predictions. The method for delineating abnormal halos in ground gamma spectrum measurement work of the present invention optimizes and improves the efficiency of delineating abnormal halos.

The application discloses a kind of based on pulse neutron technology's borehole in-situ lithium ore content measurement method and device, device includes pulse neutron generator, neutron detector, gamma detector and electronic processing equipment, measurement method includes: obtaining the time spectrum information of borehole in-situ place detection neutron, according to time spectrum information, neutron lifetime is calculated;According to the formation of different lithium ore grade under the macroscopic cross section of neutron lifetime calculation;According to the relationship equation of formation macroscopic cross section and lithium content, based on the calculation of formation macroscopic cross section, obtains scale lithium content;The calibration curve of lithium content is scaled based on the distribution of formation macroscopic cross section and scaled calculation, and the actual lithium ore grade distribution of formation is obtained.According to the change of time spectrum attenuation under different borehole size, wellbore correction equation is established, and the influence of wellbore is corrected.According to gamma energy spectrum, the content of hydrogen in water-containing wellbore is monitored, and the influence of water-containing wellbore is corrected according to hydrogen characteristic peak count.

This invention belongs to the field of uranium resource exploration technology, specifically relating to a method and apparatus for detecting gamma rays. The method includes: utilizing... 241 The equivalent peak position after the interaction of Am and NaI(Tl) crystals serves as a self-stabilizing peak, providing a stable gamma-ray reference peak and achieving automatic spectrum stabilization. A digital high-speed multichannel module acquires gamma-ray signals, achieving full acquisition of gamma-ray signals in the energy range of 30keV to 3000keV. Multiple Regions of Interest (ROIs) are set for the acquired gamma-ray signals using digital energy thresholds, obtaining CPS counts for the quantitative gamma energy range, the natural gamma energy range, and the uranium-thorium-potassium (UHT) energy range of the gamma spectrum. Using the calibration coefficients of each parameter in the standard model, and based on the CPS counts for the quantitative gamma energy range, the natural gamma energy range, and the UHT / UHT energy range of the gamma spectrum, the quantitative gamma, natural gamma, and gamma spectrum detection results are output. This invention enables a single probe to simultaneously output measured data for quantitative gamma, natural gamma, and gamma spectra, improving the efficiency of acquiring these data.

The present invention discloses a gas layer identification method based on the crossplot of drill collar secondary inelastic and capture gamma information, which relates to the field of oil and gas development, and includes: establishing a 1:1 instrument - formation simulation model; simulating the total secondary inelastic and total secondary capture gamma energy spectrum information of an actual instrument under ideal gas layer and water layer conditions, and normalizing; analyzing the total secondary inelastic and total secondary capture gamma energy spectra under ideal gas layer and water layer conditions using standard spectrum information, and simultaneously obtaining the drill collar secondary inelastic and capture gamma yields of the instrument; combining the drill collar secondary inelastic and capture gamma yield information corresponding to the same formation porosity to establish a gas layer identification crossplot; obtaining the drill collar secondary inelastic and capture gamma yield information under actual reservoir conditions, and plotting the yield information on the gas layer identification crossplot to complete the identification of gas and water layers in the actual reservoir. The method of the present invention eliminates the dependence of the gas layer identification method on porosity measurement, and further improves the accuracy and universality of gas layer identification.

The present application relates to a kind of impulse neutron logging gamma spectrum broadening coefficient calculation method, mainly for calculating the broadening coefficient of gamma spectrum collected by impulse neutron logging.Gamma spectrum broadening can be regarded as the convolution of Gaussian response matrix and un-broadened spectrum, the present application uses the characteristic gamma ray energy of different elements as prior knowledge to set additional weight for channel address in characteristic peak area of spectrum, and designs the calculation scheme of additional weight value.At the same time, a broadening coefficient calculation objective function with spectrum characteristic constraint is proposed combining with weighted least squares method.Furthermore, swarm intelligence optimization method is used to solve the objective function, and the broadening coefficient is determined, which is an accurate and efficient gamma spectrum quantitative analysis method, realizes the accurate calculation of gamma spectrum broadening coefficient, and lays a foundation for subsequent impulse neutron logging spectrum data analysis and formation property evaluation.

The invention relates to a marine pressurized water reactor fuel element damage monitoring method and device. Opening a first group of electromagnetic valves, measuring a sample after the loop coolant is purified by a first detection device, and sending measured first gamma energy spectrum data for monitoring the damage of the marine pressurized water reactor fuel element to a gamma energy spectrum processing device; when the first detection device sends out an alarm signal, the second group of electromagnetic valves are opened, the second detection device measures the sample before the loop coolant is purified, and measured second gamma energy spectrum data for monitoring the damage of the marine pressurized water reactor fuel element are sent to the gamma energy spectrum processing device; and the gamma energy spectrum processing device performs analysis and processing according to the received first gamma energy spectrum data and the second gamma energy spectrum data, and judges whether the fuel element cladding for monitoring the damage of the marine pressurized water reactor fuel element is damaged or not. Whether the fuel element cladding is damaged or not can be judged; based on an existing finite resolution detector, the false alarm rate of marine pressurized water reactor fuel element cladding damage monitoring is reduced.

The invention provides a multi-nuclide gamma energy spectrum characteristic peak area calculation method, which comprises the following steps: acquiring a multi-nuclide gamma energy spectrum, and determining a characteristic peak range of the multi-nuclide gamma energy spectrum; gaussian fitting processing is carried out on the determined characteristic peak range; determining the position and the area of a corresponding characteristic peak according to a Gaussian fitting processing result; and calculating the area of the characteristic peak according to the determined position and area of the characteristic peak. By applying the method, the area of the characteristic peak of the multi-nuclide gamma energy spectrum can be quickly and accurately calculated.

The present invention discloses a device and method for inverting lunar rock types through annihilation radiation, belonging to the technical field of lunar geological structure detection. The method uses a proton accelerator to obtain high-current proton bombardment of typical lunar rock composition samples, and simultaneously uses a detector to measure the induced gamma energy spectrum information generated by the samples. The proton stream bombards the samples to be tested, obtains the annihilation radiation count rate in the 511keV energy window and the count rate in the 969-1133keV characteristic peak area of ​​different samples to be tested, and calculates the ratio of the two. Different lunar rock types are accurately distinguished based on different ratios. The present invention achieves accurate distinction of lunar rock types by successfully stimulating the annihilation radiation of typical rocks using a direct ground calibration method.

The invention discloses a nonlinear iteration-based gamma energy spectrum unfolding optimization method and device, and the method comprises the steps: obtaining known gamma energy spectrum data, and carrying out the preprocessing of the known gamma energy spectrum data, and obtaining the preprocessed known gamma energy spectrum data; nuclide feature extraction is carried out on the preprocessed known gamma energy spectrum data to obtain nuclide feature peak positions and corresponding intensity information; constructing an initial nuclide component model based on the nuclide characteristic peak position and the corresponding intensity information; optimizing the initial nuclide component model by adopting a nonlinear iterative algorithm to obtain an optimized nuclide component model; performing spectrum unfolding on unknown gamma energy spectrum data according to the optimized nuclide component model to obtain the type and activity information of nuclides, adaptively adjusting nuclide component model parameters by introducing a nonlinear iterative algorithm, and further performing spectrum unfolding on the unknown gamma energy spectrum data through the optimized nuclide component model to obtain the type and activity information of the nuclides. And the spectrum unfolding accuracy and efficiency of the gamma energy spectrum are obviously improved.

The present invention discloses an analytical method based on a gamma energy spectrum full-energy peak function of a cadmium telluride detector, which can accurately fit a function model for the full-energy peak of a cadmium telluride detector to detect gamma energy spectrum and quickly and accurately find the initial values of parameters, so as to accurately and efficiently realize the analysis of the gamma energy spectrum detected by cadmium telluride. This analytical method based on a gamma energy spectrum full-energy peak function of a cadmium telluride detector uses an exponential function as a variable standard deviation to replace the constant standard deviation in the pure Gaussian function and calculates the initial values of the function by a peak search fitting method, and uses a nonlinear least squares fitting method to obtain the parameter values of the function, thereby calculating the net peak area of the full-energy peak and realizing the analysis of the gamma energy spectrum detected by cadmium telluride. Using this analytical method based on a gamma energy spectrum full-energy peak function of a cadmium telluride detector can increase the analysis accuracy of the gamma energy spectrum detected by cadmium telluride and improve the fitting speed and accuracy of energy spectrum analysis.

The present application relates to the technical field of nuclear radiation monitoring, in particular to a kind of water total radioactivity and nuclide online measurement system, comprising: gamma detector, beta detector, alpha detector and water treatment component, the water treatment component extracts water sample and processes after passing through the gamma detector, beta detector and alpha detector, the gamma detector is arranged in the first shielding body, the beta detector and the alpha detector are arranged in the second shielding body;Water treatment component provided by the present application is responsible for extracting and processing water sample, so that it passes through various detectors in turn, gamma detector obtains the gamma energy spectrum of water sample, beta detector and alpha detector obtain the beta and alpha total activity of water sample, to realize the accurate detection of different types of radiation.

The present application relates to a pressurized water reactor fuel cladding breakage online monitoring method and a monitoring system thereof, the method comprising the following steps: step S1: obtaining a pre-established energy calibration relationship, which is a corresponding relationship between gamma ray energy and channel number; step S2: obtaining pre-calibrated efficiency curve parameters, which are obtained through active efficiency calibration based on a simulated tubular standard radioactive source, the material, outer diameter and inner diameter of the simulated tubular standard radioactive source being consistent with those of the measured pipeline; step S3: obtaining gamma energy spectrum data through a back-to-back coincidence measurement technology, and automatically deconvoluting the gamma energy spectrum data according to the energy calibration relationship and the efficiency curve parameters to calculate the type and activity concentration of fissile nuclides in the measured pipeline; and step S4: determining a corresponding preset threshold value according to the type of fissile nuclides, and comparing the activity concentration with the preset threshold value to obtain a monitoring result of pressurized water reactor fuel cladding breakage.

The present invention provides a gadolinium-based neutron / gamma discrimination system, comprising a gadolinium-based neutron detector, a gamma-ray detector, a preamplifier circuit connected to the detector, and a dual-channel digital multichannel spectrometer. The dual-channel digital multichannel spectrometer receives two pulses amplified by the preamplifier circuit. When the time difference between the arrival times of the two pulses is within a set threshold, the system counts neutron signal events and further extracts amplitude values, recording them in the neutron response energy spectrum and gamma energy spectrum, respectively. The present neutron / gamma discrimination system combines physical processes with electronic technology. A thin sheet of gadolinium-based material absorbs only internal conversion electrons and low-energy background gamma rays. The system then uses the temporal relationship between internal conversion electrons and secondary prompt gamma rays to further distinguish whether the signal detected by the gadolinium-based material sheet is internal conversion electrons or low-energy background gamma rays, thereby achieving neutron / gamma discrimination.

The invention relates to the technical field of underwater detection, and discloses an underway marine radioactivity monitoring system and a radioactivity energy spectrum processing method thereof, and the method comprises the steps: obtaining detection energy spectrum data which is a low-count gamma energy spectrum collected under an underway measurement condition; constructing an energy spectrum response matrix, wherein the energy spectrum response matrix is used for representing the response relationship of different energy gamma rays in the detector; based on a compressed sensing reconstruction algorithm, solving the detection energy spectrum data by using the energy spectrum response matrix to obtain an original emergent gamma energy spectrum; and nuclide identification and activity calculation are carried out according to the original emergent gamma energy spectrum. According to the scheme, efficient and accurate processing of the underway measurement low counting energy spectrum can be realized.

The invention discloses a while-drilling gamma-ray energy spectrum acquisition method and a while-drilling gamma-ray energy spectrum correction method and system, and the method comprises the steps: carrying out the real-time gamma-ray energy spectrum measurement of an actual measurement well in a while-drilling measurement process; according to different energy levels, multi-level energy division is carried out on the while-drilling gamma-ray energy spectrum measurement data, and statistical counting is carried out on spectrum data under different energy levels; according to the multi-level energy spectrum counting data, combining actual data of the actual measurement well under different dimensions, and utilizing a preset multi-dimensional energy spectrum correction model, performing multi-dimensional correction on each level of energy spectrum counting data, the correction dimensions including the borehole size, the mud density, the KCL concentration and the barite content; and performing weighted matrix operation on the corrected multi-level energy spectrum counting data to obtain the real potassium, uranium and thorium content. According to the method, the influence of the stratum environment on the measurement result of the gamma-ray energy spectrum while drilling can be reduced, the stratum information can be reflected more truly, and data guarantee is provided for subsequent logging related work.

The invention relates to an online single-sphere neutron gamma-ray spectrum detector and a detection system. Wherein the detector comprises a spherical moderation body and a plurality of detectors; the plurality of detectors are arranged on the spherical moderator, the distances from the plurality of detectors to the sphere center of the spherical moderator are different, the plurality of detectors are arranged at the same depth from the sphere center of the spherical moderator, and the plurality of detectors at least comprise a CLYC detector. According to the invention, the plurality of detectors are arranged in the same spherical moderator, and the plurality of detectors are arranged at positions with different distances from the sphere center of the spherical moderator, so that large-range energy detection can be realized, the size is small, the weight is light, and carrying is convenient; moreover, the device comprises a CLYC detector, so that the device has the capability of detecting neutrons and gamma information at the same time.

The invention provides a gamma energy spectrum data peak center offset correction method based on a Sallen-Key filtering function, which is used for solving the technical problem of peak center offset in the process of smoothing gamma energy spectrum data based on the Sallen-Key filtering function at present. The invention provides a gamma energy spectrum data peak center offset correction method based on a Sallen-Key filtering function, and the method comprises the steps: constructing a digital filter circuit based on a second-order Sallen-Key filtering function, carrying out the time domain conversion of the digital filter circuit, and obtaining a reverse Sallen-Key filtering function in a time domain; a reverse Sallen-Key filtering function in a time domain is adopted to carry out offset correction on peak center offset caused in the smoothing process of gamma energy spectrum data through the Sallen-Key filtering function, high fidelity of the Sallen-Key filtering function is achieved, and algorithm support is provided for data processing.

The application discloses a lithium ore granite pegmatite vein ore body precise positioning detection method and relates to the technical field of mineral resources exploration. The method circumscribes a first target area through regionalized exploration, then arranges a comprehensive detection profile in the target area, uses the spatial superposition constraint of four methods of high-density resistivity, time-domain induced polarization, ground gamma energy spectrum and portable X-ray fluorescence spectrum to exclude false anomalies of carbonaceous slate and feldspar veins, determines a continuous section meeting multi-condition coupling as a precise positioning target area, further generates a three-dimensional resistivity body and a polarization rate body based on multi-profile inversion data, extracts a resistivity equipotential surface to predict the spatial distribution of the pegmatite vein body, and designs a verification borehole. In the drilling verification link, a local natural mineral base material is compounded with an environment-friendly mud, layered adaptive drilling is adopted, drill cuttings-mud in-situ aerobic composting is carried out, and the composting products are backfilled and repaired in cooperation with local dominant plant seeds, so that rapid ecological restoration is realized.

The invention discloses a near-borehole hydraulic fracturing crack evaluation method and device, equipment and a medium, and relates to the technical field of petroleum and natural gas exploration and development, and the near-borehole hydraulic fracturing crack evaluation method comprises the following steps: processing scattering gamma-ray energy spectrum data; determining an initial stratum density and an initial photoelectric absorption cross section index value based on the processed data, and calculating an initial stratum fracture height and an initial stratum fracture position; constructing a cost function, performing optimization iteration on the cost function to obtain a target stratum density and a target photoelectric absorption cross section index value, and correcting the initial stratum fracture height and the initial stratum fracture position to obtain a target stratum fracture height and a target stratum fracture position; according to the near-borehole hydraulic fracturing crack evaluation method and device, the position of the stratum crack and parameters of the stratum crack can be accurately determined, the sensitivity of crack response is improved, the efficiency and accuracy of near-borehole hydraulic fracturing crack evaluation are improved, and the complexity of measurement before and after fracturing is reduced.

The application discloses a hard rock type rare earth ore exploration method and system, relates to the technical field of mineral exploration, and comprises the following steps: according to geological scientific data of a target region, a prospecting prospective area in the target region is delineated based on a regional metallogenic prediction model; large-scale geological mapping and ground gamma energy spectrum measurement are carried out in the prospecting prospective area, lithology-structure information is superimposed, and a high radioactivity value target area is screened out; portable XRF detection is arranged in the high value target area, a rare earth element semi-quantitative result is used as a basis, and an ore-hosting geological body is delineated; CSAMT measurement is implemented on the ore-hosting geological body, electromagnetic data inversion is carried out, and low-resistance mineralized bodies and ore-controlling structures are determined; and based on the low-resistance mineralized bodies and the ore-controlling structures, slot exploration and drilling engineering means are used for field system exploration. The application can improve the ore-prospecting efficiency and accuracy.

The utility model discloses a full-automatic low-background multichannel gamma energy disperse spectroscopy, which relates to the field of radioactive substance detection equipment and comprises a placement base, an energy disperse spectroscopy body and supporting legs fixedly connected to the bottom of the placement base, the energy disperse spectroscopy body is movably mounted at the top of the placement base, and the supporting legs are fixedly connected to the bottom of the placement base. Supporting moving assemblies are fixedly mounted on the lower portions of the inner sides of the supporting legs, moving wheels are fixedly mounted at the bottoms of the supporting moving assemblies, and lateral stabilizing assemblies are fixedly mounted on the top of the placing base. According to the utility model, the support moving assembly is installed at the inner side of the support leg, and the support moving assembly is contracted at the inner side of the support leg to enable the support leg to be in contact with the ground to support the energy dispersive spectrometer body in a normal state; when the energy disperse spectroscopy needs to be moved, the supporting and moving assembly slides down along the limiting sliding frame by operating the supporting and moving assembly, so that the moving wheels make contact with the ground and gradually support the placing base, and the supporting legs leave the ground and are matched with the moving wheels, so that the energy disperse spectroscopy body can be conveniently moved.

The invention discloses a nuclide identification method based on KNN classification. The nuclide identification method comprises the following steps: 1) performing dimension reduction on original high-dimensional gamma energy spectrum data of a training sample by using a principal component analysis (PCA); 2) performing attribute reduction on gamma energy spectrum features of the training sample after PCA dimension reduction through a neighborhood rough set, and rejecting redundant features and retaining a feature set with the most discriminant ability through heuristic search based on attribute dependency; and 3) utilizing the feature set obtained in the step 2) to realize rapid nuclide identification of the to-be-detected sample through a K-nearest neighbor classification method. According to the method, PCA dimension reduction, attribute reduction and KNN classification methods are fused, high recognition precision can be kept, meanwhile, better calculation efficiency is achieved, and the method is suitable for portable equipment with limited resources to achieve real-time and accurate nuclide recognition.