The present disclosure relates to a circuit and a method for carrying out an alternating heating and capacitive measuring mode by a common heating wire, including carrying out a heating mode, wherein, due to a switching by a control circuit, first switching elements and second switching elements are connected in series to the heating wire, and the heating wire is connected, to one of two heating potentials; triggering a switchover from the heating mode into a measuring mode by the control circuit; carrying out the measuring mode, in which the measuring capacitance of the heating wire relative to a reference potential is determined by a detecting circuit by applying to the heating wire an alternating voltage; carrying out a testing phase by a test circuit that is switched by the control circuit that a test impedance is connected to the measuring capacitance.

The invention relates to geoelectric prospecting using transient electromagnetic techniques and can be used for detecting three-dimensional bodies in a medium. The problem addressed is that of increasing the resolution capability of electric exploration and the depth of investigation. The essence of the invention is that in a method of prospecting for three-dimensional bodies using geoelectric techniques which includes generating an alternating transverse magnetic (TM) polarized electromagnetic field, measuring an electromagnetic transient response signal of the medium under investigation and interpreting the measurements, the magnetic and electric components of the electromagnetic field are measured and interpreted according to signals received using a three-dimensional model, for which purpose the centre of three-dimensional heterogeneity above which a change in the polarity of the signal takes place is determined on the basis of the measured values of the vertical component of the magnetic field, and the boundary of multiple reservoirs in the target bodies that is near to the source is determined according to a signal of the horizontal angular magnetic component which changes polarity as it approaches the boundaries of a feature, the signals of the horizontal angular magnetic component of the electromagnetic field having the highest value above the feature, between the near-source boundary and the centre of the source, wherein the near-source boundary of the deposits of the target bodies is additionally determined according to an electric component of the electromagnetic field, the character of the signal of which changes drastically upon crossing the boundary of the feature. The transverse magnetic polarized electromagnetic field is generated using both a circular electric dipole and a vertical line.

Aspects of the subject technology relate to systems and methods for identifying values of mud and formation parameters based on measurements gathered by an electromagnetic imager tool through machine learning. One or more regression functions that model mud and formation parameters capable of being identified through an electromagnetic imager tool as a function of possible tool measurements of the electromagnetic imager tool can be generated using a known dataset associated with the electromagnetic imager tool. One or more tool measurements obtained by the electromagnetic imager tool operating to log a wellbore can be gathered. As follows, one or more values of the mud and formation parameters can be identified by applying the one or more regression functions to the one or more tool measurements.

The present application provides a proximity detection method and circuit thereof. The circuit includes a detection circuit, a baseline generating circuit, and a proximity sensing circuit. The proximity sensing circuit generates a proximity signal according to a detection data generated by the detection circuit, a baseline data generated by the baseline generating circuit and a proximity threshold, and judges whether the proximity signal is valid according to the detection data, a reference data, and a valid threshold. The validity of the proximity signal may be judged according to the reference data and the valid threshold and thus avoiding false judgement caused by the influences of the ambient factors.

Method and apparatus are provided for detecting objects behind an opaque surface. An exemplary device for detecting objects behind an opaque surface, comprising a housing configured to hold a plurality of components of the device; one or more sensors, coupled to the housing, configured to collect sensor data of an object behind the opaque surface, where the one or more sensors include one or more capacitive sensors attached to an exterior surface of the housing; a controller, residing inside the housing, configured to process the sensor data collected by the one or more sensors; an at least one printed circuit board, residing inside the housing, configured to hold the controller and the plurality of components of the device; and a display configured to convey information about a detected object to a user.

A method for mapping underground sensors onto a network map may include obtaining a plurality of magnetic measurements from a plurality of sensors. The method may include using the plurality of magnetic measurements for determining a plurality of sensor locations in an initial network map. The method may include generating updated network maps from the perspective of each localized sensor. The method may include merging the updated network maps into a final network map, the final network map comprising a most accurate location for each sensor. The method may include determining inner localized sensors out of the plurality of sensors in the final network map. The method may include identifying the inner localized sensors as new base station anchors. The method may include mapping the inner localized sensors onto the final network map as new base station anchors.

A solution for evaluating a medium using electrical signals is described. A plurality of electrical signals having different frequencies are transmitted through the medium and signal data corresponding to the electrical signals after having traveled through the medium is acquired. A complex impedance and a complex permittivity and/or complex conductivity can be calculated for the medium. A set of characteristics of the medium can be computed using mixing models and/or known information of the medium. A level of one or more attributes of the medium can be determined from the characteristics using nonparametric Bayesian inference. One particular application is directed to determining a nitrate level of soil.

Disclosed is a magnetotelluric inversion method based on a fully convolutional neural network. The magnetotelluric inversion method includes: constructing a multi-dimensional geoelectric model; constructing a fully convolutional neural network structure model to obtain initialized fully convolutional neural network model parameters; training and testing the fully convolutional neural network structure model based on the training sets and the test sets to obtain optimized fully convolutional neural network structure model parameters; determining whether training of the fully convolutional neural network structure model is completed according to fitting error changes corresponding to the training sets and the test sets; and finally, inputting measured apparent resistivity into a trained fully convolutional neural network structure model for inversion, and further optimizing the fully convolutional neural network structure model by analyzing precision of an inversion result until an inversion fitting error satisfies a set error requirement.

Disclosed is an exploration method and system for pegmatite veins. The exploration method includes: three grounding electrodes are arranged at each observation point in a target area where pegmatite veins are located, and collecting electric field differences between two groups of grounding electrodes; drawing a multi-channel map, based on positions of the grounding electrodes, according to the electric field differences; obtaining resistivity variation characteristics of pegmatite veins according to the transverse variation of multi-channel map, and determining locations and lithologic characteristics of pegmatite veins according to the resistivity variation characteristics. Through functional modules with different functions, an exploration system is formed to realize the exploration method mentioned in the application.

An aircraft includes a fuselage, a main wing, an electric field sensor, and a flight controller. The electric field sensor is configured to detect surface electric field intensities at four or more of mutually different positions on the aircraft. The flight controller includes a storage, a data extracting unit, an electric field intensity calculator, and an attitude control unit. The storage holds an electric field distribution table. The data extracting unit is configured to extract one of pieces of distribution data from the electric field distribution table. The electric field intensity calculator is configured to calculate surface electric field intensities at respective positions on the basis of the extracted piece of the distribution data. The attitude control unit is configured to perform prevention operation of the aircraft on the basis of the calculated surface electric field intensities at the respective positions.