547results about How to "Strong anti-interference ability" patented technology

The invention discloses a method for detecting arc faults based on the time-frequency characteristics of high-frequency current component. The method comprises the following steps: measuring the transient high-frequency current in a primary loop by using a self-integrating Rogowski coil and performing the spectrum analysis of the high-frequency current; measuring the time difference between the zero-crossing time of a power-frequency current and the time that the signal of the transient high-frequency current appears by adopting a counting method via using an interrupt trigger and a timer / counter, so as to confirm the phase angle position where the high-frequency current occurs in the protected loop load current; and judging whether an arc fault is caused or not according to the spectrum characteristics of the high-frequency current, the phase angle position where the high-frequency current signal occurs and regularity of the signal of the high-frequency current. The invention is capable of detecting arc faults in the normal power supply, is limited by installation position slightly, can distinguish the transient current generated by normally connecting / disconnecting a circuit from the power electronic-load current of the switch power supply and the like, and reduces and avoids misoperation.

The invention discloses a machine-vision based liquid level detection device and method. In the method, algorithm processing is carried out on a field liquid level image acquired by using an infrared camera to obtain real-time liquid level height information so as to obtain the instant height of the liquid level. In order to obtain the height information of the liquid level accurately and efficiently, five self-designed algorithms including a cameral distortion correction algorithm, a self-adaptation detection coordinate setting algorithm, a liquid level line segmentation algorithm, a data filter algorithm and a data setting algorithm are used in the machine-vision based liquid level detection device; and meanwhile, in order to implement the algorithms effectively, a calibration manner is introduced in the invention and is applied to a target tracking process of a camera. In the invention, a single-chip microcomputer of an ARM (Advanced RISC (Reduced Instruction Set Computer) Machine) series is used as a main processor. By adoption of self-adaptation coordination setting, the device is not only suitable for open type and / or closed type liquid level detection environments but also suitable for mechanical equipment positioning and product counting, and has a very broad application prospect.

The invention relates to an active-disturbance-rejection trajectory linearization control method suitable for hypersonic velocity maneuvering flight. The active-disturbance-rejection trajectory linearization control method regards a part different from a nominal model as a general disturbance, establishes a hypersonic aircraft attitude and angular velocity dynamic model with multi-source complex uncertainty and strict feedback form, designs attitude ring and angular velocity ring model auxiliary expansion state observers, adopts a non-linear tracking differentiator to arrange a transition process for a given guidance command and generate a nominal command of an attitude ring, designs an active-disturbance-rejection trajectory linearization attitude ring controller containing a feedforward tracking control law, a feedback stabilization control and a disturbance compensation term, and designs an active-disturbance-rejection trajectory linearization angular velocity ring controller containing a feedforward tracking control law, a feedback stabilization control and a disturbance compensation term. The active-disturbance-rejection trajectory linearization control method achieves high-precision anti-disturbance control under the given conditions of large-margin guidance command and control constraint, and has high adaptability for multi-source disturbance large-scale perturbation in hypersonic velocity long-span maneuvering flight.

The invention provides a UUV (Unmanned Underwater Vehicle) path tracking method based on self-adaption sliding-mode control. The method comprises the steps of 1, initializing; 2, obtaining a current state of a UUV; 3, establishing an underactuated UUV horizontal error equation to obtain the positional deviation xe, ye and a course deviation value psi e; 4, utilizing a sliding-mode control method to respectively design a speed sliding-mode control law, a position sliding-mode control law and a stem phase angle sliding-mode control law and enabling th ud to be zero, the xe to be zero and the psi e to be zero by controlling thrust Xprop, expected speed (shown in the following image) and torque Nprop; 5, updating a self-adaption law of handover gain and a self-adaption law of boundary layer thickness; 6, performing control input saturation compensation; 7, enabling k = k +1, returning to the step 2 and updating the control laws and the self-adaption laws for the next time to achieve the accurate control on the UUV horizontal path tracking. The UUV path tracking method can only depend on a controller which is designed according to a horizontal dynamical model to stabilize the system and is suitable for various underactuated UUVs.

The invention discloses a PMSM servo system control method based on an improved model compensation ADRC, aims at the problems that the system disturbance amplitude estimated by an extended state observer is high and changes sharply, estimation precision is difficult to guarantee and obtaining of better control performance of an active disturbance rejection controller is limited, and provides an improved model compensation active disturbance rejection control method. Firstly a second-order extended state observer (ESO) is adopted to observe a total disturbance compensation model of the system, and then the disturbance compensation model is utilized to be compensated to a speed loop active disturbance rejection controller in the design of the speed loop ADRC. According to the method, observation capacity of the ESO for system disturbance can be fully utilized so that the ESO in the ADRC is enabled not to estimate total disturbance quantity, estimation burden of the ESO in the active disturbance rejection controller can be reduced, estimation capacity of the system for total disturbance can be enhanced, compensation capacity of the system for various types of disturbance can be effectively enhanced and robustness and anti-disturbance capability of the system can be enhanced.

The invention discloses an alternating current induction motor control system based on a self-immunity to interference control. On basis of the prior art, according to ambiguity compensation, a known part, i.e., the ambiguity compensation sc of the rotation speed working characteristics of the alternating current induction motor is input to an expanded state observer, a sum action quantity Omega 3 of a variety of interference of an actual rotation speed Omega of the motor is an estimation of an unknown part instead of an overall rotation speed, thus burdens of the expanded state observer are relieved, meanwhile a variation scope of a parameter adapting object is enlarged, and the estimation precision of the expanded state observer is increased. By the adoption of the control system, better control effects compared with that of the alternating induction motor system based on the traditional self-immunity to interference control are obtained, the robustness and the immunity to interference are stronger, and the dynamic quality is improved.

The invention is a ice thickness sensor and the measuring method belonging to automatic detecting technology field, the positive electrode of the detecting power in the sensor forms a detecting loop together with the each metal detecting contactor arranged according to the scale, inner scale decoding switch circuit, conduction identification circuit and the negative electrode of the power through the measured media including water, ice, air between the inner and outer walls of the sensor, the inner microchip control circuit in the sensor generates decoding switch control signal according to a fixed coding order, the sensor is connected whose detection circuit correspondent to the metal measuring contactor to carry on the ice thickness measurement, the sensor can carry on fixed point continuous automatic detection to the ice thickness in river, reservoir, long distance transmission project, environment detection and so on.

The invention discloses a servo control strategy and system for simultaneously eliminating a counter potential and load torque disturbance. Based on a nominal model of an armature winding, total disturbance of an electrical part is estimated according to voltages externally applied to two ends of an armature and a detection value of an armature current, and the disturbance is offset by a feedforward compensation part; the residual disturbance of the counter potential is eliminated by combining feedback and adjustment of the armature current; an inner ring of the system is built by a combination step of feedforward control for eliminating electrical total disturbance and current feedback control; based on a nominal mode of a transmission system, the total disturbance of a mechanical part is determined according to the armature current and actual rotational speed information, and the disturbance is offset by the feedforward compensation part; by combining feedback and adjustment of the rotational speed, the residual disturbance of the load torque is eliminated; and an outer ring of the system is built by the combination step of feedforward control for eliminating mechanical total disturbance and rotational speed feedback control. By the servo control strategy, the disturbance of two different time scales is eliminated, and the interference resistant capability and the dynamic and static performance of the servo system are greatly improved.

The invention provides a method for estimating and correcting the position of a permanent-magnetic synchronous generator rotor. The method comprises the following steps that: by taking zero crossing points of the pole-tip phase / line voltage of a motor as boundaries, a 360-degree electrical angle of a motor rotor is divided into twelve electrical-angle intervals; by taking the relative relation between the phase / line voltage of three phase and zero as a general judgment method of a current angle interval and taking a special judgment process of the current electrical-angle interval provided as a basis, the current electrical-angle interval is judged; according to the electrical rotational speed of the generator rotor, an electrical-angle increment of the motor rotor is obtained through calculation; the sum of the increments of an angle corresponding to an initial point and the electrical angle relative to the initial point in each electrical-angle interval is a position signal of the motor rotor; by taking the quantity of the position signal as the quantity of a basic position signal, the deviation quantity of the position information of the motor rotor is estimated through specific control algorithm; and by taking the deviation quantity as the feedback quantity of a position-correcting link, the quantity of the basic position signal is compensated with an output result through the regulation of a regulator, so that an accurate position signal of the motor rotor can be obtained.

The invention provides a method for identifying surface electromyography (sEMG) on the basis of empirical mode decomposition (EMD) sample entropy. The method comprises the following steps: acquiring the corresponding sEMG from the related muscle tissue; performing EMD by using an actuating signal of the sEMG determined by energy threshold; adaptively selecting a plurality of intrinsic mode function (IMF) components comprising electromyographic signal effective information according to a frequency availability method; superposing the IMF components to serve as effective electromyographic signals and evaluating the sample entropy; and inputting the sample entropy serving as feature vector into a clustering classifier based on a spindle kernel clustering algorithm to realize identification on an upper limb multi-locomotion mode of the electromyographic signal. The sample entropy can disclose the complexity of the sEMG from a short time sequence, represents the tiny change condition of the electromyographic signal well, has high antijamming capability, simple algorithm and high calculation speed, and is particularly suitable for real-time processing of the electromyographic signal.

The invention discloses a UWB-based indoor mobile robot positioning and navigation system, including a device layer, an intermediate layer and an application layer; the device layer completes the construction of a system hardware platform, including a base station, a label, a mobile robot and a Wifi communication module, Among them, the base station and the tag realize the positioning function, and the Wifi module and the communication base station in the base station are used to connect the device layer and the middle layer to realize the upload and release of information; the middle layer includes a database, data analysis software and a server to complete data storage and forwarding, analysis and processing and remote access control functions; the application layer mainly provides a friendly remote client software interface to realize online update of mobile robot status information, completion of mobile robot path planning and generation of other related reports. The invention uses UWB technology to realize the positioning and navigation of the indoor mobile robot, and has the advantages of strong anti-interference ability and low power consumption. For other positioning technologies, using UWB signals for indoor positioning can obtain higher positioning accuracy and stability.

A method and a current operational module for on-line measurement of battery internal resistance and an on-line measurement instrument for battery internal resistance have high measurement accuracy and strong anti-interference ability. The on-line measurement instrument for battery internal resistance comprises a current work module, a voltage measurement module, an analog to digital conversion module, a signal generation module, a centre processing module, an Input / Output module, and a power supply module used for on-line measurement of battery internal resistance.

The invention is concerned with computer protecting monitor device, belonging to power system auto-control process field and it is fit to form the intelligent terminal device of integration automatic system with 35 KV and less. It relates to CPU, cabinet, plug-in board and operation system. The plug-in board relates to power supply, main board, simulation / transformer board, relay board, keyboard / display. The said operation system is embedded task module. The task module relates to protect unit, test unit, control unit, monitor unit, communication unit, fault recorder unit and accident recorder unit. This equipment of invention can be adjusted easily with high intelligent integration and it is fit for installing on switchboard or grouping screen together. Each part fixes alone to disperse heat with strong anti-jamming ability to be replaced.

The invention discloses an optical fiber acceleration transducer comprising an optical fiber and an elastic membrane. The end surface of the optical fiber and the elastic membrane are arranged in parallel to form an Fabry-Perot cavity; a mass block is arranged on the elastic membrane for generating inertia force under the action of the acceleration of an object to be measured, and the inertia force acts on the elastic membrane so that the length of the Fabry-Perot cavity varies with the acceleration of the object to be measured, and a varied interference spectrum is transferred by the opticalfiber. The optical fiber acceleration transducer has minor size, strong capacity of resisting disturbance, wide response bandwidth, high sensitivity and low cost and can be widely applied to acceleration measurement.

The invention provides a system for monitoring the contact temperature of a high-voltage switch cabinet on line. The system comprises a repeater, a converter and a local workstation, which are connected in sequence, wherein, the repeater is connected with a plurality of slave monitoring units respectively; and the RS-485 standard is applied to the repeater and the converter respectively. The monitoring system of the invention can monitor the temperature rise value of the contact in the high-voltage switch cabinet on a real-time basis under the conditions of high voltage, high temperature and high magnetic field intensity; by detecting the contact temperature of the high-voltage switch cabinet, the temperature rise value obtained through the comparison between the temperatures of an isolated contact and the high-voltage switch cabinet body can be comprehended on a real-time basis, and a real-time alarm can be triggered, thereby avoiding the power failure caused by the isolated contact which is subjected to excessively high temperature rise or even burnt; and meanwhile, the system of the invention can carry out the following operations on data from each sink node: collection, storage, query and report output.

The invention discloses an auto-disturbance rejection position servo system optimization design method based on an improved CPSO. By aiming at problems of permanent magnet synchronous motor servo systems on high position control precision, fast response, and stable performance, a double-loop control structure is adopted, and a PMSM auto-disturbance rejection position servo control system is established. By aiming at a parameter setting problem of an auto-disturbance rejection position controller, the improved Chaos Particle Swarm Optimization (CPSO) is provided. By adopting the CPSO, a position of a particle is initialized according to cubic chaotic mapping, and an index self-adaptive way having adjustable parameters is used to adjust inertia weight in a non-linear way, and at the same time, the position of the particle is updated by adopting a chaos and stability alternate way, and therefore the convergence rate and the global optimization ability of the CPSO are effectively improved, and the CPSO is used for the optimization of the auto-disturbance rejection position controller parameters. By combining with a fitness function including position control requirements, the optimization design of the PMSM position servo control system is realized, the position control precision and the response speed of the servo system are improved, and a strong disturbance rejection ability is provided.

The invention relates to a photoelectric testing method for the detonating speed of a detonating fuse and a device thereof. The device is characterized in that the device at least comprises two multimode fibre probes inserted into the detonating fuse in certain distance, a fibre coupling connector, a PIN integrated photoelectric detector, a power supply, an FPGA high-speed data acquisition module and a liquid crystal display screen; the PIN integrated photoelectric detector is used to carry out time sharing processing on the temporal fore-and-aft relation of optical signals acquired by the probes in time; optical signals of a plurality of probes are converted into pulse electric signals and are transported to the FPGA high-speed data acquisition module; the input pulse electric signals are subjected to sampling, calculation processing, control and caching; the distance of each two probes of the plurality of the probes and the measured time are subjected to calculation processing to seek an average speed; the detonating speed and relevant data of the detonating fuse are transmitted to the liquid crystal display screen and are displayed; and the photoelectric testing method has the advantages of high testing precision, strong antijamming capacity, small volume, simple operation and the like.

The invention discloses a liquid level detection method and a liquid level detection device based on visible laser and image processing. The liquid level detection method comprises the steps of a first step, establishing a measurement coordinate system, wherein the background is the vertical-direction inner wall of a container for storing liquid, a camera and a laser head which is used for transmitting the visible laser are arranged above the liquid level, the camera obliquely faces the background relative to a horizontal surface, an included angle between the optical axis of the camera and the horizontal surface is theta; a second step, obtaining the movement track of a visible laser point through visible laser point movement detection; and a third step, obtaining a corner point coordinate which corresponds with the position of the liquid level based on the image of the movement track, and calculating an actual liquid level value AC'' based on the corner point coordinate according to a formula AC''=AC*sin(<ACC'') / sin(180DEG-theta-<ACC''). The liquid level detection method and the liquid level detection device based on visible laser and image processing have advantages of easy application and high interference resistance.

The invention belongs to the fields of a driving device of an electric vehicle and a hybrid electric vehicle, and a control method thereof. The driving system provided by the invention comprises a brushless double-fed motor, a stator inverter, a rotor inverter, a stator / rotor winding relay control circuit, a motor driving and control module, a complete electric vehicle controller, an accumulator, a battery management unit and a current-voltage speed sensor, wherein the ports of the stator inverter and rotor inverter are respectively connected with the port of the accumulator; the port of the motor driving and control module is respectively connected with the ports of the stator inverter and rotor inverter; and the port of the motor driving and control module is connected with the port of the stator / rotor winding relay control circuit. The control method provided by the invention mainly comprises the following steps: judging the running state of a driving motor; and if the driving motor is in an asynchronous running state or a double-fed running state or the stator and rotor inverters have faults, successively and respectively executing the corresponding subprograms. The invention can enhance the control moment of a high-speed region of the vehicle, enlarge the speed regulating range, increase the recovery rate of energy and enhance the continuous voyage mileage of the electric vehicle.

The invention discloses a geometry target positioning method based on multi-layer depth and color visual information. The method comprises the following steps: correcting internal parameters and distortion coefficients of a color camera and a depth camera, and determining a conversion matrix relationship between the images of the two cameras of the depth camera and the color camera; acquiring color and depth image information of the target object; preprocessing the color image in an HSV color space according to the intuitive image characteristics of the color, and segmenting a binary image ofthe target object; eliminating the background of the depth image through background subtraction, carrying out the multi-level threshold binarization operation, and segmenting an object through the multi-level depth image); carrying out edge contour detection based on the multi-level binary image, and identifying a target geometry through parameter screening; and calculating a central coordinate and a rotation angle of the target geometry through the Hu invariant moment and converting the central coordinate and the rotation angle into a world coordinate system of the visual system. According tothe invention, the identification effect on the texture-free geometry is good, and the anti-interference capability for different light environments is strong; the principle of object recognition issimple, the calculated amount is small, and the requirement for real-time recognition can be met.

The invention relates to a bus communication based small unmanned aerial vehicle control system. The bus communication based small unmanned aerial vehicle control system comprises data transfer radios, bus sensors, flight control computers, a power supply system, steering engines, a task device and a data recorder, wherein the data transfer radios use a CAN (controller area network) bus network as a communication foundation and conform to a unified communication protocol, and the data transfer radios, the bus sensors, the flight control computers, the power supply system, the steering engines, the task device and the data recorder are connected to interfaces of the CAN bus network respectively and are in both-way communication with the same. The system has the advantages of good instantaneity, high stability, high rate, easiness in contact expansion and low cost.

The invention discloses a digital-circuit-based true random number generator, relates to the technical fields of integrated circuits and the field of information safety, and aims to solve the problems of the conventional full-analogue or digital-analogue mixed circuit. Technical key points are that: the digital-circuit-based true random number generator comprises an auxiliary oscillation sampling circuit group, a main oscillation sampling circuit group and a post-processing circuit, wherein the auxiliary oscillation sampling circuit group comprises at least one basic oscillation sampling circuit; the main oscillation sampling circuit group comprises at least one basic oscillation sampling circuit; the output end of the basic oscillation sampling circuit in the auxiliary oscillation sampling circuit group is connected with the frequency control end of the basic oscillation sampling circuit in the main oscillation sampling circuit group; and the output end of the basic oscillation sampling circuit in the main oscillation sampling circuit group is connected with the input end of the post-processing circuit.

The invention discloses an information processing device and method. The information processing device comprises a first light source part used for emitting a first light ray, a first light conversion part arranged between the first light source part and a projection surface and used for enabling the first light ray to form a second light ray after passing through the first light conversion part, an image acquisition part and a processing part, wherein the second light ray can form a first invisible image with preset patterns on the projection surface; the image acquisition part is provided with an acquisition region, the projection surface is positioned in the acquisition region, when a target object enters the acquisition region, the image acquisition part is used for acquiring a second invisible image of the second light ray, formed on the target object; and the processing part is connected with the image acquisition part and used for processing the second image to obtain a space position parameter of the target object relative to the information processing device.

The invention relates to a peripheral blood circulation tumor cell detection chip and a system thereof. The detection chip comprises a substrate, and the substrate is provided with an interdigital capacitance circuit and a spiral inductor metal circuit connected with the interdigital capacitor circuit; the interdigital capacitor circuit tightly laminated with a single layer graphene film; the graphene film is laminated with a micro-fluidic control channel; the micro-fluidic control channel and the single layer graphene film form an integrated graphene micro-fluidic pipe screening microchip for screening tumor cells; the single layer graphene film, the interdigital capacitor circuit and the spiral inductor circuit form a whole RCL resonance network; the spiral inductor circuit is also used as a cross coupling antenna. The detection system comprises a detection signal reading and analysis device, and the peripheral blood circulation tumor cell detection chip. The chip and the system can realize the fast, sensitive, accurate and cheap detection of tumor cells.

The invention relates to a continuous-pipe intelligent electric drilling system. The drilling system comprises a ground control system, a continuous pipe and a lower drilling tool, wherein the continuous pipe is internally provided with a photoelectric composite cable, the photoelectric composite cable is internally provided with a three-phase power cable, a power cable, a signal cable and an optical cable, the ground control system comprises an injection head, a ground photoelectric converter, a PLC (programmable logic controller) control module, a roller, a rectification inverter, a boosting transformer and a ground information processing module, and the lower drilling tool comprises a connector, a cable head short section, a non-rotating connector, a telemetry short section, a power-driven power-off and circulating short section, a drilling parameters measuring short section, a well deviation measuring short section, an electric motor, an electric guide short section, a near bit measuring short section and a drill bit. For the drilling system, an electricity and information channel between the ground and the underground is established by injecting the photoelectric composite cable in the continuous pipe, thus overcoming the defects of the continuous pipe made of the composite material, and the drilling electrification and intelligentization of the continuous pipe are realized by matching with the existing continuous pipe and the equipment.

The invention provides a transformer winding deformation degree and fault diagnosis method based on the frequency response analysis method. First, the waveform of a power distribution device connected with a high-voltage casing is measured by an oscilloscope, the oscilloscope is connected in parallel between the end of the high-voltage casing and a knife switch to obtain the waveform of external electromagnetic interference signals, and short-circuit grounding is carried at a secondary side and at a third side respectively. The frequency response analysis method is a sensitive method for analyzing the deformation degree of a transformer winding. According to the frequency response analysis method, whether a winding deforms is judged by comparing response curves. The frequency response analysis method has strong anti-jamming capability, so that the test result has good repeatability and is more in line with the requirement of state overhaul. Transformer lead dismantling is needed in current field test. Therefore, the invention provides a test method for testing a transformer winding without dismantling a lead through interference signal filtering, and the efficiency of on-site transformer winding deformation degree detection is improved.

The invention relates to an interactive lamplight intelligent control system. The system comprises a lamp effect controller, a sensor node controller and sensor nodes corresponding to all lamps, wherein the sensor nodes and the lamps form arrays to be evenly distributed and arranged on a ceiling. The lamp effect controller comprises a microprocessor a, an on-scene communication bus interface module a, an RS485 bus interface module, a memory card module and a touch display module; the sensor node controller comprises a microprocessor module b, an on-scene communication bus interface module b and a power supply conversion module b; each sensor node comprises a human body detection sensor module, a microcontroller module, an on-scene communication bus interface module c and a power supply conversion module c. Due to the fact that each sensor node contains a human body detection sensor, human body locating and movement detection can be effectively completed, and interaction between a person and the lamplight arrays is achieved. According to the interactive lamplight intelligent control system, a large-scale integrated circuit is adopted, and therefore the interactive lamplight intelligent control system has the advantages of being small in size, high in response speed, novel in design, low in power consumption, wide in adapting range and convenient to popularize and use.

The invention relates to a device and method for measuring an indicator diagram by electric parameters. The device comprises a data analysis and processing module, a data storage module, an oil pumping unit upper and lower dead point recognition module, an electric parameter acquisition module, a communication module and a power supply module. Motor three-phase voltage and current parameters of an oil pumping unit are collected so that real-time power is obtained, real-time suspension point displacement is calculated or measured by combination of the upper and lower dead point recognition module, the relation between the power and the suspension point displacement is obtained, and finally the relation between the suspension point displacement of each moment in a complete stroke and suspension point load is obtained according to the relations of the torque and the power as well as the torque and the suspension point load, that is the indicator diagram is obtained. According to the device and method for measuring the indicator diagram by the electric parameters, the defect existing when a sensor measures the indicator diagram traditionally is effectively solved, and the indicator diagram is measured while the electric parameters are monitored. The structure is simple, the size is small, the device can be directly mounted in an oil well distribution box, the maintenance is convenient, and real-time data exchange and historical data reading of the device with a remote monitoring system of an oil filed can be realized.

The invention provides a WLAN indoor tracking method based on a particle filtering algorithm, and relates to a WLAN indoor tracking method, and solving the problem that the tracking precision is reduced caused by the nolinear model when tracking a dynamic object in the indoor environment. The method comprises the following steps of: building signal intensity probability distribution of an off-line stage with the signal intensity value of a reference point, defining the reference point which has the shortest Euclidean distance with a particle point, taking the reference point as a particle point correcting valve to obtain each particle point and weight values corresponding thereto, and obtaining the estimated value of the position of the user after updating the weight value with a resample arithmetic. The method is suitable for the WLAN indoor tracking.

Disclosed is a magnetic positioning based online monitoring method of achieving of landslide deep layer displacement measurement. One permanent magnet and two or more magnetic detectors constitute a local node monitoring system, and a plurality of nodes are distributed on a landslide body to form an overall landslide monitoring network; in the local node monitoring system, the permanent magnet is fixed to a landslide body stabilizing layer, the magnetic detectors are placed on a landslide layer of the landslide body, after magnetic signals detected by the magnetic detectors are sent back to a monitoring center, the space positions of the magnetic detectors are worked out through a magnetic positioning algorithm, when a landslide happens, the space orientations and space positions of the magnetic detectors will change, the space positions of the magnetic detectors are determined through the same algorithm after the landslide happens, landslide deep layer displacements of the local nodes can be worked out through coordinate transformation, and landslide deep layer displacement data obtained through the monitoring network composed of the local monitoring nodes can be synthesized to assess landslide body deep layer landslide situations.