926 results about "Observation system" patented technology

The invention discloses a multi-source heterogeneous data fusion method of a sky tower ground well carbon flux observation system, which comprises the following steps of: 1, preprocessing and automatically correcting data to solve the problems of noise, space-time inconsistency, format difference and systematic error in a multi-source heterogeneous data acquisition process; the multi-source heterogeneous data are respectively from satellite remote sensing, unmanned aerial vehicle remote sensing, an eddy covariance flux tower, ground observation and underground observation; step 2, multi-level data fusion: extracting multi-source heterogeneous data from original signals step by step to form unified high-dimensional feature expression, and finally outputting real-time observation data of carbon emission and carbon sink of the coal mining area through a decision model; and step 3, performing comprehensive observation and application output, performing real-time analysis according to the real-time observation data, and outputting a detection result and early warning information. According to the method, an advanced algorithm with adaptive correction and multi-level fusion capability is adopted, and data fusion of five observation modules of the sky tower surface well is realized, so that the key bottleneck in the prior art is broken.

The invention relates to the technical field of three-dimensional observation, in particular to a geological deformation three-dimensional observation system and method, and the method comprises the steps: multi-dimensional data collection: synchronously obtaining data, and collecting ground temperature gradient field data and underground water flow velocity field data of a monitoring region; data space-time calibration processing: performing space-time reference unification processing on the acquired data to generate a multi-source displacement data set after space-time calibration; cold door parameter extraction: generating an environment coupling parameter matrix based on ground temperature gradient field data and underground water flow velocity field data in multi-dimensional data acquisition; modeling a three-dimensional deformation field: generating an initial three-dimensional deformation field model; dynamic model correction: performing iterative correction on the initial three-dimensional deformation field model to generate an optimized three-dimensional deformation field model; and visual early warning output: generating an early warning signal with a risk level identifier. According to the method, a multi-source heterogeneous data fusion system is constructed, and a cold geological parameter dynamic compensation mechanism is combined, so that high-precision three-dimensional deformation field modeling and early warning are realized.

The invention relates to the technical field of coal mine goaf exploration, in particular to a goaf combined detection and identification method fusing gravity, earthquake and transient electromagnetism, which comprises the following steps of: (1) arranging an earthquake, transient electromagnetism and gravity method combined observation system according to a detection geological task and a field condition of a coal goaf; (2) seismic data, transient electromagnetic data and gravity data are collected through the combined observation system; (3) performing independent inversion on the gravity data, the transient electromagnetic data and the seismic data to obtain density distribution, resistivity distribution and wave velocity distribution of the goaf; (4) carrying out a joint inversion method based on improved cross gradient seismic data, transient electromagnetic data and gravity data; (5) obtaining a joint inversion resistivity profile map, a joint inversion wave velocity profile map and a joint inversion density profile map of the goaf through joint inversion of the seismic data, the transient electromagnetic data and the gravity data of the goaf; and identifying development characteristics of the goaf.

The invention discloses a global enhancement method for a wide-area astronomical image. The method comprises the following steps: carrying out high-frame-frequency image acquisition on a starry sky area; converting the reference star from a star catalogue position to an observation position, and resolving a linear negative film model; geometric distortion correction is carried out based on the resolving result; based on the image after geometric distortion correction, matching and identifying a reference star in a full view field, and obtaining celestial coordinate information of all fixed star images in the view field; on the basis of celestial coordinate information, correcting a poorer astronomical effect of the astronomical image, establishing an ideal coordinate system taking the center of a view field as a tangency point, and projecting a time sequence observation image to the ideal coordinate system; translating the processed graph, accumulating all translated images, and averaging all accumulated pixel positions to realize image superposition enhancement, thereby effectively improving the dynamic range of a detector and the detection capability of a wide-area astronomical observation system; and meanwhile, the signal-to-noise ratio of the astronomical image can be effectively improved, and the astronomical image centering and light measuring precision can be further improved.

The invention relates to the technical field of rock / soil mass seepage-stress coupling, and discloses a rock-soil mass seepage-stress coupling visualization device and a test method thereof. The rock-soil body seepage-stress coupling visualization device integrates a seepage pressure system controlled by a high-precision plunger pump, a confining pressure and back pressure control system, a loading and measuring device and a visualization observation system composed of a PIV particle image measuring instrument and a three-dimensional XTDIC full-field strain measuring system, and an experiment platform with comprehensive and accurate functions is formed. The device not only can accurately control and measure the seepage pressure, but also can carry out permeability research on the rock / soil body in various stress states, and directly observes and records the seepage field and the structural evolution process in the rock / soil body through an intuitive visual means. The device not only improves the experiment efficiency, but also greatly enhances the intuition and accuracy of research, and provides powerful support for deeply understanding the microscopic and macroscopic behaviors of the rock / soil body under the seepage-stress coupling action.

The invention discloses a soft soil foundation riprap slope embankment rear heaped load cooperative construction monitoring system, which comprises a heaped load monitoring module used for monitoring the settlement amount and the deformation rate of a heaped load area by adopting a video method settlement displacement observation system; the foundation monitoring module is used for monitoring the hole pressure and displacement of the foundation according to the distributed measuring points; the data processing module is used for quantifying the data mapping relation between the settlement volume and the deformation rate of the loading area and the foundation pore pressure and displacement according to the time sequence, integrating the data according to the data fusion technology and calculating the real-time safety coefficient of the foundation; and the cooperative control execution module is used for triggering a dynamic control strategy according to the safety coefficient and dynamically adjusting the stacking rate and path. The invention further discloses a collaborative construction monitoring method for piling and loading behind the soft soil foundation riprap slope embankment. According to the method, the problem of stability control in pile loading construction behind the riprap embankment of the soft soil foundation is solved, and balance between safety and construction efficiency is achieved.

The invention discloses a sky tower ground well integrated carbon emission and carbon sink comprehensive observation system, which comprises a satellite remote sensing module and an unmanned aerial vehicle remote sensing module, which are used for acquiring mining area environmental parameters; the vorticity covariance flux tower is used for collecting wind speed, temperature, CO2 and other greenhouse gas concentration data in real time and calculating the carbon gas exchange flux in the atmosphere; the ground monitoring module is used for monitoring carbon emission and carbon absorption indexes in the surface environment in real time; the underground monitoring module is used for monitoring underground carbon flux data and underground environment parameters; the satellite remote sensing module, the unmanned aerial vehicle remote sensing module, the vortex covariance flux tower, the ground monitoring module and the underground monitoring module are all connected with the central data processing platform in a wired and / or wireless mode, and the central data processing platform is used for generating a unified and accurate mining area carbon emission and carbon sink dynamic map. According to the invention, synchronous observation and data fusion of five observation modules of the sky tower ground well are realized, and full-scale and real-time dynamic observation of carbon emission and carbon sink in a coal mining area is realized.

The invention provides a satellite weak and small target on-orbit observation system and method based on intelligent closed-loop feedback, and the system comprises a detection module which carries out the image enhancement and time sequence consistency enhancement of an infrared image, obtains an enhancement feature, and obtains a candidate target set based on the enhancement feature; the tracking module is used for carrying out target matching in the search area; when the matching succeeds, the candidate position is used as an observation value, and the observation value is input into a Kalman filter to obtain a target state vector; when the matching fails, taking a prediction state of the Kalman filter as a target state vector, expanding a search window by taking a prediction position as a center, and executing re-identification; the control module is used for mapping the target state vector into an attitude error and generating a control instruction by adopting a single-neuron self-adaptive PID (Proportion Integration Differentiation) controller; and the closed-loop scheduling module is used for dynamically adjusting operation parameters of at least one module according to the execution error and the detection confidence coefficient. According to the invention, the continuous tracking precision and attitude control stability of the weak and small target are improved.

The invention relates to the technical field of environment detection, and discloses an extensible underground water and soil in-situ online observation system, which comprises an underground water and soil automatic online monitoring management platform, an underground water control module, a soil control module and an auxiliary module, the underground water and soil automatic on-line monitoring management platform can check the state of the detection module and the detected data. The problems that when an existing underground water and soil on-line monitoring device monitors underground water and soil through an on-line sensor, the sensor may have drifting or errors in a complex environment, and the data accuracy is affected are solved; in remote areas and complex terrains, data transmission interruption can be caused by network instability; the problems that underground water and soil equipment are managed separately, data output is not synchronous, the data analysis difficulty is increased, and complex data analysis and modeling are difficult to achieve are solved.

The invention discloses an underground space unmanned sensing detection system and method. An unmanned detection carrier platform obtains underground space surface data through a sensing radar holder and an unmanned aerial vehicle; then determining a detection target area according to the acquired data and planning a driving path; meanwhile, ad-hoc network relay nodes are placed at different positions on the unmanned detection carrier platform through a mechanical arm in combination with signal strength, an ad-hoc network is finally formed, and normal communication of the unmanned detection carrier platform and the unmanned aerial vehicle in the underground space is guaranteed; when the unmanned detection carrier platform travels to a target area, a seismic observation system is formed by arranging node type detectors, and an active seismic source and a transient electromagnetic detection device are respectively started, so that seismic wave data and transient electromagnetic data of the target area are obtained; according to the method, perception modeling of the underground space can be realized in an unmanned mode, and the overall detection data of the underground space can be accurately acquired, so that subsequent analysis and processing of the underground space data are facilitated.

A submarine landslide-seabed-pipeline three-dimensional mechanical analysis experiment system comprises a high-speed landslide driving system, a high-pressure photoelastic observation system, a three-dimensional stress acquisition system and a central controller. The high-speed landslide driving system drives the photoelastic landslide body to achieve high-speed linear motion under the gradient condition through a crawler-type driving mechanism, and the gradient high-speed motion characteristic of a real submarine landslide is simulated. The high-pressure photoelastic observation system comprises a photoelastic seabed, a photoelastic pipeline assembly, a high-pressure sealed cabin and a top hydraulic loading mechanism, and pore pressure distribution and a three-dimensional stress field in the impact process are dynamically developed through the photoelastic effect by combining the refractive index difference of fluid in pores and a photoelastic material with pore pressure data. The three-dimensional stress acquisition system captures multi-angle photoelastic stripes in real time and solves a global three-dimensional stress tensor. The central controller cooperatively regulates and controls all the systems, and control over high-speed movement, the high-pressure environment and material variables is achieved. The system well meets the quantitative research requirements of the submarine landslide disaster-causing mechanism and the protection design.

The invention relates to the technical field of electric power facility safety monitoring, in particular to a substation equipment foundation settlement observation system and method, and the system comprises an infrared monitoring array and a data processing terminal; the method comprises the following steps: acquiring and correcting real-time three-dimensional point cloud data of the basic surface of the equipment; obtaining an effective settling volume; environment parameters or equipment vibration signals are monitored in real time, the collection frequency of the infrared monitoring array is automatically adjusted according to the monitoring result, and an early warning signal is sent out when the effective settling volume exceeds a preset threshold value; through software and hardware cooperation, the problems that in the prior art, a monitoring blind area is large, the anti-interference capacity is weak, and a linkage mechanism is lacked are solved, an intelligent settlement observation solution is provided for a substation equipment foundation, and safe and stable operation of a power grid is effectively guaranteed.

The invention belongs to the technical field of underwater sea condition data monitoring, and discloses an underwater online intelligent monitoring analysis system and method. According to the method, an acoustic Doppler current profiler (ADCP) carried by a seabed observation system is used for carrying out seabed flow measurement, the speed and direction of water flow are obtained, and a binocular camera carried by the seabed observation system is used for determining the size of underwater organisms; performing image mode recognition and classification on the underwater creatures by using an image recognition algorithm in the underwater observation system, and recognizing the types and the number of the underwater creatures; transmitting data to a communication module of the virtual anchor system unmanned platform by using the armored cable, performing error control on the data transmitted by the armored cable, and detecting and correcting error information of the data in the transmission process; and judging whether the returned information is successful or not through an information transmission control method in the underwater observation system. According to the invention, the method can achieve the image recognition of Branchiostoma under a complex sea condition, and improves the operation efficiency and safety.

The invention discloses a tunnel earthquake advanced detection method based on observation system optimization and angle domain reverse time migration imaging, and the method specifically comprises the steps: 1, setting an observation system with the same shot-geophone point in a tunnel, and carrying out the collection of a tunnel earthquake record; 2, constructing a rectangular grid geologic model; 3, solving a tunnel seismic source seismic wave field; 4, solving a tunnel detector seismic wave field, and obtaining a tunnel reverse time migration imaging result; step 5, solving a Poynting vector # imgabs0 # of the seismic wave field of the tunnel seismic source and a Poynting vector # imgabs1 # of the seismic wave field of the tunnel detector; step 6, obtaining a tunnel seismic source seismic wave field and a tunnel detector seismic wave field of an angle domain; and step 7, obtaining a high-precision imaging result. According to the method, the imaging precision of tunnel advanced detection can be effectively improved, so that the front geological structure can be identified more accurately.

A release device for a polar profile observation system includes a support frame, a release base, a control electronic cabin, a release mechanism, and a floating body. The support frame performs an up and down profile movement along the under-ice guide cable, and is bonded with the profile observation system before the profile observation system is released. The release base is configured to provide an installation platform for the release mechanism. The control electronic cabin is configured to receive a release signal sent by the profile observation system and enable the release mechanism. The release mechanism is configured to perform a release task, so that the profile observation system can be detached from the support frame. The floating body provides buoyancy to balance the gravity of the release device.

The invention discloses a shot point arrangement method. The method comprises the following steps: acquiring a work area in which shot points are to be arranged and theoretical shot points in the work area; creating a first grid in the work area according to a preset size to obtain a plurality of grid points; screening out a first grid point which can be used as a candidate shot point according to the gradient of each grid point and the position of each grid point in the work area; constructing a second grid by taking each theoretical shot point as a center; and one first grid point is selected from each second grid to serve as a target shot point. The invention further discloses a system, computer equipment and a readable storage medium. According to the scheme provided by the invention, the difficulty of field construction of shot points is reduced while obstacles in a work area can be avoided, gridding uniform distribution of the shot points in the work area is realized, uniformity of surface element attributes of an observation system is ensured, and the quality of three-dimensional seismic acquisition data can be improved.

The invention relates to the technical field of marine environment monitoring, in particular to an exchange area sea area three-dimensional collaborative observation system based on submerged buoys, which comprises a data acquisition module, an instruction generation module, a buoy dynamic response module and a space-time alignment and fusion module. The method comprises the following steps: acquiring original water observation data in multiple depth layers through a subsurface buoy system, and constructing a structured feature data set; identifying an ocean abnormal phenomenon based on the abnormal detection model and generating a trigger instruction; the buoy system analyzes the instruction and then drives the lifting mechanism to be accurately positioned to a target depth layer, and multi-sensor synchronous acquisition is executed according to a matched observation mode; and the fusion module adopts time calibration and a Kriging interpolation algorithm to realize three-dimensional data reconstruction, and outputs a space-time synchronous three-dimensional data set. The method has the characteristics of intelligent recognition, dynamic response, multi-parameter fusion and the like, the capture precision and observation efficiency of the complex process of the exchange area are improved, and technical support is provided for ocean dynamic process research and ecological monitoring.

The invention discloses a wetland bird diversity intelligent observation system based on a voice recognition technology, and the observation system comprises a bird feeder, and the bottom of the bird feeder is provided with an inhabiting plate corresponding to the discharge end of the bird feeder. The bird feeder is provided with a voiceprint collection and recognition module used for collecting bird voiceprint data and conducting type recognition based on the bird voiceprint data, and the bird feeder further comprises an anti-sinking supporting mechanism connected with the bird feeder. The anti-sinking supporting mechanism is arranged, the movable frame moves relative to the supporting frame to extrude a spring piece, the situation that the gravity of birds directly impacts the soft ground of the wet land, and consequently the whole observation system sinks is effectively avoided, and when the number of the birds is increased or the weight continuously acts, the movable frame continues to move downwards, the movable frame moves to drive the sliding base to move downwards; the movable plate is driven by the connecting arm to unfold outwards, so that the contact area between the bottom plate and the ground is increased, and the influence of the gravity of the birds on the observation system is further reduced.

The invention discloses a CCUS experimental device and method for carbon dioxide flooding and storage, and relates to the technical field of petroleum engineering. The device comprises a three-dimensional oil reservoir physical model, a fluid injection system, a fluid collecting and metering system, a resistivity monitoring system and a fluid migration observation system. The three-dimensional oil reservoir physical model is used for constructing a simulated stratum, and a development well pattern system is installed on the simulated stratum; the fluid injection system is connected with the injection well; the fluid collecting and metering system is connected with the production well; the resistivity monitoring system is provided with a plurality of monitoring points on the simulated stratum; the fluid migration observation system is used for observing a migration path of supercritical carbon dioxide in the three-dimensional oil reservoir physical model; and the distributed optical fiber monitoring system is arranged in the simulated stratum. According to the device and the method, oil reservoir water injection exploitation and CO2 injection oil displacement and CO2 storage stability simulation experiments in the later development period can be realized.

The invention relates to the technical field of vegetation remote sensing observation, in particular to a chlorophyll fluorescence observation system based on laser radar, which comprises a target evaluation module used for responding to an observation evaluation condition to determine an observation analysis strategy of each observation target; the observation analysis module is used for determining the dominant direction of the mirror surface of the observation target and determining an inversion execution strategy of the observation target in response to the inversion execution condition; the dominant inversion module is used for determining a pre-estimation execution wave band set and determining observation pre-estimation data based on the polarization reflection parameters of the pre-estimation execution wave bands; the multi-parameter inversion module is used for determining an inversion weight coefficient of each observation wave band and determining whether to adjust the inversion weight index of each observation wave band in response to a weight analysis condition; the auxiliary analysis module is used for responding to the auxiliary analysis condition to determine the auxiliary analysis mode of the observation target, and the reliability of the fluorescence observation result of the observation target is improved.

The invention discloses a non-intrusive monitoring in-plane and thickness-direction integrated permeability testing device and method for a three-dimensional fabric preform. The device comprises a permeability testing die cavity system, a lifting compaction system, a vacuum generation system, a liquid injection and cleaning system and a signal detection and observation system. The non-intrusive sensing system has no influence on system sealing and permeability test liquid flowing in a three-dimensional fabric preform medium; a sample central point liquid injection mode can avoid a competitive effect caused by contact between permeability test liquid and the mold; accurate regulation and control of a compaction state are realized through a compression test of the three-dimensional fabric preform; the method is suitable for a three-dimensional fabric preform which is small in internal gap and cannot be provided with an intrusive sensor; the integrated measurement of the in-plane and thickness-direction permeability is realized, and a plurality of sets of molds do not need to be designed; and a liquid inlet pipeline and a cleaning pipeline are introduced, so that the test can be repeatedly carried out conveniently.

The invention relates to a perception-transmission-control fusion-oriented industrial semantic communication method, system and device and a medium, and the system comprises a to-be-observed system which builds a cloud side-end collaborative industrial Internet of Things system and is used for collecting multi-modal data in an industrial scene; the industrial semantic communication sending end and the industrial semantic communication receiving end are used for realizing semantic feature extraction, identification and efficient transmission of industrial data, namely multi-modal data in an industrial scene; and the feedback controller is used for generating a control signal according to the optimized feedback control logic and acting on the industrial semantic communication system. The invention provides a new mode to ensure efficient communication between machines and improve the semantic interoperation capability of an industrial heterogeneous system, so as to support intelligent man-machine-object interaction of M2M, H2M, H2H and the like.

The invention provides a full-stack observability method for a unified platform, which comprises the following steps of: respectively acquiring logs, indexes and link tracking data by using an application performance monitoring agent, an extended Berkley packet filter agent and an index acquisition agent, and storing and distributing the logs, the indexes and the link tracking data, and performing data association processing by using the request tracking identifier and the timestamp to obtain an original data set which is stored uniformly and is in cross-data association, and performing format standardization and full-stack tracking integration processing respectively to obtain a standardized time sequence index and full-stack link tracking data respectively. By summarizing the data into the same observation system and associating the observation data by using the specific field, all observability data can be observed on the same platform, and the same user interface is used, so that switching among a plurality of system pages is not needed, the problem of data islands is solved, and a user-friendly observable platform is created.

The invention relates to the technical field of geophysical exploration, in particular to a borehole three-dimensional observation system based on seismic-electric combined exploration. The system comprises an excitation device which is deployed in an underground drill hole and is used for respectively exciting a seismic wave signal at the same excitation point and supplying excitation current to the underground; the receiving device comprises a series of ground receiving modules arranged on the ground and an in-well receiving module arranged in at least one receiving drill hole; both the ground receiving module and the in-well receiving module are integrated with seismic wave signal receiving units and potential signal receiving units and are used for synchronously receiving seismic wave signals generated by excitation of the excitation device and potential signals in an electric field established by excitation current; and the data processing device is in communication connection with the receiving device and is configured to receive the seismic wave signal and the potential signal and determine the wave velocity parameter and the resistivity parameter of the underground target body according to the seismic wave signal and the potential signal.

The invention provides a salt cavern type gas storage geologic body spatial form fine description method. The method comprises the steps that an observation system is defined, field static correction is carried out, and series fidelity denoising is carried out; performing well control spherical diffusion compensation on the seismic data through a Tar factor and a VSP speed obtained by the VSP data, and performing Q compensation on the seismic data in the aspects of phase and amplitude by using a VSP-Q factor; earth surface consistency amplitude compensation is carried out, and well control verification is carried out on deconvolution of the three-dimensional seismic data by using a VSP-Q factor and corridor superposition data; velocity analysis, earth surface consistency residual static correction, pre-stack migration velocity field establishment and anisotropy analysis are carried out in sequence; target line migration, anisotropic pre-stack time migration, pre-stack time migration and well constraint post-stack frequency expansion processing are carried out in sequence; sequentially performing low-frequency compensation and result output; and carrying out complex structure geologic body identification. According to the method, the salt cavity with poor continuity, strong anisotropy and disordered characteristic reflection can be accurately depicted.

The invention discloses a zero-perception dairy cow behavior observation system based on AI vision, and the system comprises a data collection module which is used for collecting a video image through a monitoring camera; the image preprocessing module is used for generating a standardized image frame sequence; the visual Transform feature extraction module is used for outputting a space-time feature vector; the deep forest behavior classification module is used for behavior classification and label output; the behavior analysis module is used for generating a behavior track and group distribution; the model adaptive training module is used for periodic incremental training; and the abnormity early warning module is used for judging and outputting abnormal behaviors. According to the invention, cow behavior automatic identification and abnormity intelligent early warning based on AI vision are realized, and the management efficiency of a farm and the cow health guarantee level are improved.

The invention provides a forest fire fighting and rescue fire scene low-altitude meteorological monitoring service system and method. The system comprises a forest fire scene meteorological environment monitoring system, a data fusion analysis system and a data distribution service system. The forest fire scene meteorological environment monitoring system comprises an air-ground collaborative meteorological observation system and a forest fire scene space information remote sensing system, and is used for acquiring low-altitude meteorological environment, vegetation and terrain situation information in a forest fire scene boundary layer; the data fusion analysis system is used for observation data space-time normalization processing, observation data space-time scale expansion, three-dimensional fire scene situation construction based on terrain situation information, meteorological data fusion analysis and information visualization display; and the data distribution service system comprises a data link and data distribution service software and is used for distributing data of the forest fire scene meteorological environment monitoring system and the data fusion analysis system to different forest fire fighting rescue forces and hardware terminals. The overall efficiency and safety of forest fire scene fighting work can be effectively improved.

The invention discloses a scattered wave seismic acquisition and imaging method based on a full random observation system, which belongs to the technical field of seismic exploration and comprises a quasi-Monte Carlo random observation array design step, a scattered wave intelligent identification and enhancement step, a sparse wave field reconstruction step and a multi-target optimization imaging step. The limited equidistant property is ensured through the random observation array design based on a low-difference sequence, intelligent separation and enhancement of scattered waves are realized by using a physical constraint neural network, a sparse reconstruction problem is solved by using an alternating direction multiplier algorithm, a multi-target optimization imaging framework is constructed to realize high-resolution imaging, and high-resolution imaging is realized. The four core steps form a closed-loop cooperative system, sparse reconstruction quality evaluation feedback optimizes observation array design, imaging quality measurement feedback adjusts scattered wave identification parameters, and cooperative interaction is achieved.

The invention discloses an electromagnetic signal superconducting observation system based on micro-shielding and thermal management and a design method, and the system comprises a high-temperature sensor unit which comprises a pressure-resistant constant-temperature container, a specially-made non-magnetic glass Dewar flask disposed in the pressure-resistant constant-temperature container, and a built-in three-axis high-temperature superconducting sensor. The pressure-resistant constant-temperature container comprises a base body made of carbon fiber reinforced plastics, and a low-frequency frequency-selecting shielding layer, an insulating thin layer, an absorbing layer and a high-frequency shielding layer are sequentially arranged outside the base body. According to the invention, the interference of high-frequency noise in a complex environment and the thermal noise of the three-axis high-temperature superconducting sensor can be significantly reduced. According to the system provided by the invention, the low-noise electromagnetic signal detection of the high-temperature superconducting sensor can be realized in a complex environment, the application range of electromagnetic method technology resource exploration can be widened, and the detection precision can be improved.

The invention discloses a processing method of a polybutylene terephthalate bar with laser etching performance, and relates to the technical field of high polymer material processing and surface modification.The processing method comprises the following steps that in the material melting stage, a synchronous observation system of a melt rheological behavior and a temperature field is established, micro-amplitude sine torque disturbance is introduced, and the temperature field is measured; obtaining dynamic response of viscosity and shear rate, and generating a flowing fingerprint baseline; and performing spectrum decomposition on the flow fingerprint baseline, extracting signal components causing pressure pulsation, determining a critical shear rate threshold and time delay thereof, and forming a discrimination condition of an unstable region. According to the method, shear characteristics are extracted through rheological disturbance and thermal field synchronous observation, space mask driving process simulation is constructed, a feedforward adjusting curve is output, density online estimation and phase recognition are introduced, micro-pulse disturbance and temperature fine adjustment are combined, closed-loop control is formed, melt flow is dynamically stabilized, and laser engraving consistency and the product yield are improved.