Portable shallow exploration seismic source device

Abstract

The invention belongs to the technical field of seismic exploration, and provides a portable shallow exploration seismic source device which comprises a storage battery, a stepping motor controller, a shell, a lead screw stepping motor, a buckle and unlocking mechanism, a heavy hammer and a strong spring. The upper end of the heavy hammer is attached to the inner wall of the shell. The strong spring is arranged between the inner side of the shell bottom and the bottom of the upper end of the heavy hammer; the upper end of the buckle and unlocking mechanism is fixed with the shell through the buckle; the lead screw stepping motor is arranged on the upper side of the buckling and unlocking mechanism. The bottom of the lower end of the buckle and unlocking mechanism is connected with the top of the heavy hammer; a transmission rod of the lead screw stepping motor is connected with the center of the pincerlike mechanism at the lower end of the buckling and unlocking mechanism. A reset spring is arranged between the upper part of the pincerlike mechanism at the lower end of the buckling and unlocking mechanism and a transmission rod of the screw rod stepping motor; the lead screw stepping motor is connected with the stepping motor controller. And the stepping motor controller is connected with the storage battery. The invention realizes a flexible, safe and environment-friendly seismic source exploration device.

Description

Technical Field

[0001] The invention relates to the technical field of seismic exploration, in particular to a portable shallow layer exploration source device. Background Art

[0002] Seismic exploration technology is a method that uses artificially excited seismic waves to detect underground structures and geological conditions. In shallow seismic exploration, this technology is particularly suitable for detecting geological structures in the shallow part of the earth's crust, underground rock distribution, soil physical and mechanical properties and other information. It is of great significance to mineral resource exploration, engineering construction, geological disaster assessment and other fields. With the continuous advancement of materials science, electronic information technology and precision manufacturing technology, the research and development of portable shallow exploration source systems has a more solid foundation. The application of new materials makes the system lighter, and the use of high-precision electronic control technology improves the controllability and accuracy of the system. In addition, with the continuous improvement of people's awareness of environmental protection, the research and development of environmentally friendly sources has also become an important consideration in system development.

[0003] However, existing seismic exploration methods often require the use of heavy equipment such as explosive sources, which not only limits the flexibility and efficiency of exploration, but also poses safety risks and environmental pollution problems. Summary of the invention

[0004] In order to overcome the shortcomings of the prior art, the purpose of the present invention is to provide a portable shallow exploration seismic source device, which isolates external interference and prevents the spread of internal dust through the outer shell; provides huge impact force in a short distance and produces a strong seismic source through a heavy hammer and a strong spring; controls the vibration speed and frequency of the heavy hammer through a stepper motor controller and a screw stepper motor; and fixes the position of the heavy hammer through a buckle and unlocking mechanism.

[0005] To achieve the above object, the present invention provides the following solutions:

[0006] A portable shallow exploration source device, comprising: a battery, a stepper motor controller, a housing, a screw stepper motor, a buckle and unlocking mechanism, a heavy hammer and a strong spring;

[0007] The bottom of the shell is an annular structure; the lower end of the weight is in an inverted T shape; the upper end of the weight is in a concave shape; the upper end of the weight is in contact with the inner wall of the shell; the strong spring is arranged between the inner side of the bottom of the shell and the bottom of the upper end of the weight; the lower end of the buckle and unlocking mechanism is in a clamp shape; the upper end of the buckle and unlocking mechanism is fixed to the shell by a buckle; the screw stepper motor is arranged on the upper side of the buckle and unlocking mechanism; the bottom of the lower end of the buckle and unlocking mechanism is connected to the top of the weight; the transmission rod of the screw stepper motor is connected to the center of the clamp mechanism at the lower end of the buckle and unlocking mechanism; a reset spring is arranged between the upper part of the clamp mechanism at the lower end of the buckle and unlocking mechanism and the transmission rod of the screw stepper motor; the screw stepper motor is connected to the stepper motor controller; the stepper motor controller is connected to the battery;

[0008] The stepper motor controller is used to collect external control instructions, and control the rotation angle and speed of the lead screw stepper motor according to the control instructions; the lead screw stepper motor is used to control the extension of the strong spring through the transmission rod of the lead screw stepper motor; the strong spring is used to accumulate elastic potential energy, and convert the accumulated elastic potential energy into the kinetic energy of the heavy hammer; the buckle and unlocking mechanism is used to fix the heavy hammer and the strong spring that has accumulated energy when the strong spring is stretched to a preset position; the heavy hammer is used to hammer the target ground.

[0009] Preferably, the shell is also provided with a plurality of concave and convex grooves inside;

[0010] The concave-convex groove is fitted with the upper part of the weight;

[0011] The concave and convex grooves are used to fix the weight and construct a sealed space.

[0012] Preferably, the interior of the shell is coated with butter;

[0013] The butter is used to reduce friction losses and heat generation.

[0014] Preferably, a screw structure is provided in the screw stepping motor;

[0015] The screw structure is used to convert the rotational motion of the screw stepper motor into linear motion.

[0016] Preferably, the buckle and unlocking mechanism is further provided with an unlocking position module;

[0017] The unlocking position module is disposed on the outer surface of the housing;

[0018] The unlocking position module is used to adjust the fixed stroke of the heavy hammer according to user requirements.

[0019] The present invention discloses the following technical effects:

[0020] The present invention provides a portable shallow exploration seismic source device, which solves the interference and environmental pollution problems through the shell, realizes the isolation of external interference and the prevention of the diffusion of internal dust; solves the seismic source generation problem through the heavy hammer and the strong spring, realizes the provision of huge kinetic energy for the heavy hammer within a short distance; solves the automatic operation problem of the heavy hammer through the stepping motor controller and the screw stepping motor, realizes the control of the vibration speed and frequency of the heavy hammer. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0022] Figure 1 A schematic diagram of the structure of a portable shallow exploration source device provided by an embodiment of the present invention;

[0023] Figure 2 A schematic diagram of the effect of earthquake source data provided by an embodiment of the present invention;

[0024] Description of reference numerals:

[0025] 1-housing, 2-screw stepper motor, 3-buckle and unlocking mechanism, 4-heavy hammer, 5-strong spring, 6-buckle and unlocking mechanism, 7-battery. DETAILED DESCRIPTION

[0026] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0027] The purpose of the present invention is to provide a portable shallow exploration seismic source device, which isolates external interference and blocks the spread of internal dust through the outer shell; provides huge impact force in a short distance and produces a strong seismic source through a heavy hammer and a strong spring; controls the vibration speed and frequency of the heavy hammer through a stepper motor controller and a screw stepper motor; and fixes the position of the heavy hammer through a buckle and unlocking mechanism.

[0028] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments.

[0029] Figure 1 A schematic diagram of the structure of a portable shallow exploration source device provided by an embodiment of the present invention is shown in FIG. Figure 1 As shown, the present invention provides a portable shallow exploration source device, comprising: a battery 7, a stepper motor controller, a housing 1, a screw stepper motor 2, a buckle and unlocking mechanism 6, a weight 4 and a strong spring 5;

[0030] The bottom of the shell 1 is an annular structure; the lower end of the weight 4 is in an inverted T shape; the upper end of the weight 4 is in a concave shape; the upper end of the weight 4 fits the inner wall of the shell 1; the strong spring 5 is arranged between the inner side of the bottom of the shell 1 and the bottom of the upper end of the weight 4; the lower end of the buckle and unlocking mechanism 6 is clamp-shaped; the upper end of the buckle and unlocking mechanism 6 is fixed to the shell 1 by a buckle; the screw stepper motor 2 is arranged on the upper side of the buckle and unlocking mechanism 6; the bottom of the lower end of the buckle and unlocking mechanism 6 is connected to the top of the weight 4; the transmission rod of the screw stepper motor 2 is connected to the center of the clamp mechanism at the lower end of the buckle and unlocking mechanism 6; a reset spring is arranged between the upper part of the clamp mechanism at the lower end of the buckle and unlocking mechanism 6 and the transmission rod of the screw stepper motor 2; the screw stepper motor 2 is connected to the stepper motor controller; the stepper motor controller is connected to the battery 7;

[0031] The stepper motor controller is used to collect external control instructions, and control the rotation angle and speed of the lead screw stepper motor 2 according to the control instructions; the lead screw stepper motor 2 is used to control the extension of the strong spring 5 through the transmission rod of the lead screw stepper motor 2; the strong spring 5 is used to accumulate elastic potential energy, and convert the accumulated elastic potential energy into kinetic energy of the heavy hammer 4; the buckle and unlocking mechanism 6 is used to fix the heavy hammer 4 and the strong spring 5 that has accumulated energy when the strong spring 5 is stretched to a preset position; the heavy hammer 4 is used to hammer the target ground.

[0032] Optionally, in this embodiment, an intelligent power management system (PMS) may be introduced into the storage battery 7 to optimize the use efficiency of the battery. The PMS may dynamically adjust the power output according to the working state of the device to reduce unnecessary energy consumption.

[0033] Specifically, the PMS in this embodiment has an intelligent algorithm based on condition monitoring and prediction, and the steps of the algorithm include:

[0034] 1. State monitoring: First, collect sensor data and install sensors to monitor key parameters of the device in real time, such as current, voltage, temperature, load status, etc. By analyzing the sensor data, identify the current working mode of the device (such as standby, working, sleeping, etc.). For example, this embodiment also filters the sensor data before analyzing it.

[0035] 2. State prediction, using historical data to analyze the usage patterns of the equipment and predict future power demand. This embodiment trains a machine learning model (such as a decision tree, random forest or neural network) to predict changes in the power demand of the equipment.

[0036] 3. Dynamic power adjustment: dynamically adjust power output according to predicted power demand. For example, in low load or standby mode, reduce power output to save energy. And assign priorities to different device functions to ensure that key functions can still operate normally when the power is low.

[0037] 4. Real-time feedback and optimization, establish a feedback loop, and continuously optimize the algorithm based on the difference between actual energy consumption and predicted values. The algorithm can adaptively adjust parameters to cope with different working environments and usage habits.

[0038] 5. Safety and protection, overload protection, automatically adjust or cut off the power output to protect the device when overload or abnormal conditions are detected. Temperature control, in high temperature conditions, reduce the power output or switch to low power mode to prevent overheating.

[0039] For example, the algorithm flow of this embodiment is as follows:

[0040] 1. Initialization: Load historical data and machine learning models.

[0041] 2. Data collection: collect sensor data in real time.

[0042] 3. Pattern recognition: Analyze data to identify current working patterns.

[0043] 4. Demand forecasting: Use machine learning models to predict future electricity demand.

[0044] 5. Adjust output: Adjust the power output according to the prediction results.

[0045] 6. Feedback optimization: adjust model parameters according to actual energy consumption.

[0046] 7. Loop execution: Repeat steps 2-6.

[0047] Through this intelligent algorithm, PMS can effectively manage power output, reduce unnecessary energy consumption, and improve the overall efficiency and endurance of the device.

[0048] Furthermore, the filtering algorithm of this embodiment is:

[0049] Perform multi-level decomposition on the sensor data signal to obtain wavelet coefficients;

[0050] Thresholding the wavelet coefficients is performed to obtain the processed wavelet coefficients;

[0051] Signal reconstruction is performed on the processed wavelet coefficients to obtain filtered sensor data.

[0052] Thresholding the wavelet coefficients to obtain processed wavelet coefficients includes:

[0053] When the value of the wavelet coefficient is greater than or equal to the processing threshold, the wavelet coefficient is processed by using the first coefficient processing function to obtain a processed wavelet coefficient;

[0054] Among them, the first coefficient processing function is:

[0055]

[0056] Where u is the first adjustment coefficient, sgn() is the sign function, and w j,l is the lth wavelet coefficient under the jth decomposition level, λ is the processing threshold, α is the second adjustment coefficient, β is the third adjustment coefficient, γ is the fourth adjustment coefficient, and p is the wavelet decomposition level;

[0057] When the value of the wavelet coefficient is less than the processing threshold, the wavelet coefficient is processed using the second coefficient processing function to obtain the processed wavelet coefficient;

[0058] Among them, the second coefficient processing function is:

[0059]

[0060] The calculation formula for the processing threshold is:

[0061]

[0062] Among them, λ is the processing threshold, δ is the standard deviation of Gaussian noise, M is the signal length of sensor data, and z is the preset coefficient.

[0063] Furthermore, the steps of training the machine learning model in this embodiment include:

[0064] 1. Data collection: collect historical data of the equipment under different working conditions, including at least timestamp, power consumption, working mode, ambient temperature, load conditions, etc.

[0065] 2. Data preprocessing: processing or removing outliers and missing values; generating meaningful features, such as decomposing time information into hours, weeks, etc., or calculating the average energy consumption over a period of time; standardization / normalization: scaling the features to a uniform scale (such as 0 to 1).

[0066] 3. Model training and evaluation: divide the data set into training set, validation set and test set; use the training set to fit the model and adjust the hyperparameters to optimize the performance; for deep learning models, design the network structure and select the loss function; use mean square error (MSE), root mean square error (RMSE) or mean absolute error (MAE) as evaluation indicators; use cross-validation techniques on the model to reduce overfitting.

[0067] 4. Implementation and deployment: Use the trained model to perform real-time demand forecasting in actual applications; continuously collect forecast errors and update or retrain the model to improve forecast accuracy; combine the forecast results with the power management system to dynamically adjust the power configuration based on the forecast.

[0068] Specifically, the model input features of this embodiment may include: time features (day, week, month), historical power consumption data, current working mode (encoded form), and environmental conditions (such as temperature).

[0069] The target output may include: a power consumption forecast value for a period of time in the future.

[0070] Furthermore, in this embodiment, LSTM is selected as the machine learning model, and its basic structure includes:

[0071] 1. Input layer, assuming that each time step has multiple features, such as timestamp, power consumption, working status, etc.

[0072] 2. LSTM layer, including single-layer or multi-layer LSTM. The number of LSTM neurons in each layer can range from 32 to 128, and the specific number needs to be determined through experiments. Multi-layer LSTM stacking can improve the feature abstraction ability, and 2 to 3 layers are usually used.

[0073] 3. Flatten layer: Flatten the output of the LSTM layer so that it can be input into the fully connected layer.

[0074] 4. Fully connected layer (Dense), specifically including hidden layer: one or more fully connected layers, each layer contains 32 to 64 neurons; activation function: ReLU activation function is usually used.

[0075] 5. Output layer, outputs a scalar value, which is used to predict the power demand at a certain time in the future. The activation function does not use or uses a linear activation function so that the output can be any real number.

[0076] Furthermore, this embodiment adds an attention layer on the basis of LSTM, which can weight the importance of the input sequence. Enhance the model's ability to select input features and highlight key time steps and features. Use a convolutional layer (1D CNN) to extract features in the preprocessing stage of input data, and then process it through LSTM. The convolutional layer can capture local features and patterns, thereby improving the efficiency of sequence modeling.

[0077] For example, this embodiment may also use a bidirectional LSTM to simultaneously consider forward and backward information; this can improve the ability to understand the integrity of time series, especially the prediction effect of long sequences.

[0078] In addition, this embodiment also applies regularization technology, such as Dropout and L2 regularization, to prevent overfitting and improve the generalization ability of the model.

[0079] Optionally, this embodiment configures dynamic adjustment, dynamically adjusting the number of LSTM units and layers according to different input modes (possibly through meta-learning), which can improve the flexibility and adaptability of the training and prediction stages.

[0080] Through the above scheme, this embodiment can effectively predict the power demand of the device and dynamically optimize the energy management strategy to achieve the goal of the intelligent power management system.

[0081] In addition to introducing an intelligent power management system (PMS) into the battery 7, this embodiment also designs an energy recovery mechanism. During the movement of the weight 4, especially during its rebound phase, an energy recovery mechanism is designed to convert part of the kinetic energy into electrical energy and store it back in the battery. In this embodiment, a power generation device is installed in the movement path of the weight.

[0082] Specifically, in the portable shallow exploration source device, in order to recover kinetic energy and convert it into electrical energy during the movement of the heavy hammer 4, especially during its rebound stage, an energy recovery mechanism can be designed. The following is a specific arrangement of the power generation device:

[0083] The power generation device can be a linear generator or a rotary generator. In the case of a linear generator, the linear motion of the weight is used to generate current through the relative motion of the coil and the magnet. In the case of a rotary generator, the linear motion of the weight is converted into rotary motion through a mechanical structure to drive a small generator.

[0084] The linear generator is arranged in the following way:

[0085] Install a strong magnet on the side or bottom of the weight 4. Install a coil on the inner wall of the weight's motion path. When the weight moves, the magnet passes through the coil, generating a current. The coil can be arranged in the weight's motion path, ensuring that the magnet can effectively pass through the coil during the entire motion process. The length of the coil should cover the entire range of motion of the weight to maximize energy recovery.

[0086] The rotating generator is arranged in the following way:

[0087] A rack is mounted on the bottom or side of the weight. The rack meshes with a pinion, which is connected to the shaft of the rotating generator. As the weight moves up and down, the rack rotates the pinion, which drives the generator to generate electricity. The gears and generator should be arranged on the side of the weight's path, ensuring that the rack and pinion are always meshed. The generator should be fixed to the housing to reduce vibration and wear.

[0088] Furthermore, this embodiment rectifies the alternating current generated by the generator into direct current, and stabilizes the output voltage through a voltage stabilizing circuit, and stores the recovered electric energy in a battery, or stores it in a short term through a supercapacitor to improve efficiency.

[0089] Furthermore, the present embodiment adds a shock-absorbing and buffering structure at the installation position of the power generation device to reduce the impact on the power generation device. The present embodiment uses wear-resistant and high-strength materials to improve the durability and reliability of the power generation device.

[0090] Through this arrangement, the present embodiment can effectively convert the kinetic energy of the weight movement into electrical energy and store it in the battery, thereby improving the energy efficiency and endurance of the device.

[0091] Optionally, this embodiment selects lightweight, high-efficiency solar panels, such as monocrystalline silicon or polycrystalline silicon solar panels. Alternatively, a flexible solar panel is used to better fit the shape of the device housing. A solar panel with appropriate power is selected according to the energy consumption requirements of the device, and the size of the solar panel is ensured to fit the surface area of ​​the device housing.

[0092] Then, this embodiment redesigns the top or side of the device housing to enable the solar panel to be mounted. And ensure that the housing surface is flat and facing the sun to maximize light energy absorption. This embodiment uses a weather-resistant adhesive or mechanical fixing device to fix the solar panel to the device housing. Consider using a waterproof frame and sealing materials to prevent moisture and dust from entering.

[0093] In addition, this embodiment also designs a circuit connecting the solar panel and the battery, including an anti-reverse diode to prevent current backflow. An MPPT (maximum power point tracking) controller is configured to optimize the output efficiency of the solar panel. The current and voltage output from the solar panel to the battery are managed by the charging controller to prevent overcharging. And this embodiment also integrates a battery management system (BMS) to monitor the battery status and ensure safe charging.

[0094] Specifically, when in use, ensure that the device is placed in a sunny place and adjust the angle according to the position of the sun, and this embodiment considers using an adjustable bracket to optimize the orientation of the solar panel in different environments. Exemplarily, this embodiment regularly cleans the surface of the solar panel to ensure the best photoelectric conversion efficiency, and checks the electrical connection and sealing status to ensure long-term reliable operation.

[0095] Furthermore, this embodiment designs a detachable solar panel module so that it can be added or replaced when needed. It is also considered to use multiple panels in series or in parallel to increase the total power output. As an example, this embodiment also integrates an intelligent monitoring system to monitor the solar charging status and battery power in real time; the charging status information is transmitted to a remote monitoring device through a wireless communication module.

[0096] Through these steps, this embodiment can effectively integrate the solar panel on the device housing, use solar energy to charge the battery, and thus extend the battery life of the device during field operations.

[0097] Preferably, the housing 1 is also provided with a plurality of concave and convex grooves;

[0098] The concave and convex grooves fit the upper part of the weight 4;

[0099] The concave and convex grooves are used to fix the weight 4 and to construct a sealed space.

[0100] Optionally, the interior of the shell 1 is coated with butter;

[0101] Grease is used to reduce friction losses and heat generation.

[0102] Specifically, a screw structure is provided in the screw stepping motor 2;

[0103] The lead screw structure is used to convert the rotational motion of the lead screw stepper motor 2 into linear motion.

[0104] Specifically, the buckle and unlocking mechanism 6 is also provided with an unlocking position module;

[0105] The unlocking position module is arranged on the outer surface of the housing 1;

[0106] The unlocking position module is used to adjust the fixed stroke of the heavy hammer 4 according to user needs. By adjusting the longitudinal position of the buckle and unlocking mechanism 6 on the housing 1, it can be unlocked at different strokes, and the stroke of the screw stepper motor is adjusted accordingly; the stretching length of the spring is different when unlocking, thereby obtaining different pulling forces and hammering energies.

[0107] Specifically, during operation, the screw stepper motor 2 accurately controls its rotation angle, gradually pulls the spring, and gradually stretches the spring and stores energy. When the spring is compressed to the preset position, the buckle mechanism is accurately unlocked, and the energy stored in the spring is quickly released, pushing the heavy hammer 4 to fall quickly and hammer the ground under the dual effects of spring tension and gravity. The energy released at this moment is converted into a strong vibration signal, which can be widely used in geological exploration, building quality assessment, and material performance testing. The entire device is easy to operate and precisely controlled, and is an ideal choice for generating controllable vibration signals.

[0108] Optionally, this embodiment introduces an adaptive control algorithm to automatically adjust the rotation angle and speed of the stepper motor according to different geological conditions and task requirements to optimize the stretching and energy storage process of the spring. Sensors are used to monitor ground feedback signals in real time to dynamically adjust the falling speed and strength of the weight.

[0109] Specifically, this embodiment establishes a mathematical model of the device, including a dynamic model of a stepper motor, a spring, and a weight.

[0110] The dynamics of a stepper motor can generally be represented by the electrical and mechanical equations:

[0111] Electrical equations:

[0112]

[0113] Where V is the input voltage (volts), L is the motor inductance (henry), is the rate of change of current, R is the resistance (ohm), i is the current (ampere), K e is the back EMF constant (volt-seconds / radian), and ω is the motor speed (radian / second).

[0114] Mechanical equations:

[0115]

[0116] Where T is the torque generated (N·m), J is the inertia of the rotor (kg·m 2 ), Angular acceleration (radians / second 2 ), B is the millet friction coefficient (N·m·s), and τ is the load torque (N·m).

[0117] Spring Model:

[0118] F s =-kx s

[0119] Among them, F s is the restoring force of the spring (Newton), k is the spring constant (Newton / meter), x s is the extension (or compression) of the spring (meters).

[0120] Heavy hammer dynamics model:

[0121]

[0122] Where m is the mass of the weight (kg), is the acceleration of the weight (m / s 2 ), mg is the weight of the hammer (Newton), F d is the resistance (such as air resistance or friction) (Newtons).

[0123] When the output of the stepper motor is applied to the spring and weight system, the above equations can be combined:

[0124] The torque T of the stepper motor is converted into a linear force F through a screw or gear transmission m , which can be expressed by the efficiency coefficient η:

[0125]

[0126] Where r is the effective radius of the transmission mechanism (meters).

[0127] The force of the stepper motor pushing the spring is:

[0128] F s =F m -F friction

[0129] System dynamics integration, comprehensive consideration of the force of the heavy hammer:

[0130]

[0131] B is here the damping coefficient, representing the total resistance.

[0132] Optionally, after the model is established in this embodiment, key parameters of the system, such as friction coefficient, spring constant, etc., are identified through experiments or simulations. Sensors (such as position sensors, accelerometers, force sensors) are integrated into the device to monitor the system status in real time. Sensor data is collected for feedback control and model update.

[0133] Furthermore, the present embodiment designs a basic PID controller for preliminarily controlling the rotation angle and speed of the stepper motor. Based on the PID controller, an adaptive mechanism is added to adjust the control parameters according to real-time feedback.

[0134] Exemplarily, the steps of implementing the adaptive algorithm in this embodiment include:

[0135] 1. Model Reference Adaptive Control (MRAC): an ideal reference model is set, and the system output should follow the model as much as possible. The controller parameters are dynamically adjusted according to the error (the difference between the actual output and the reference model output).

[0136] 2. Use a gain adjustment algorithm (such as the LMS algorithm) to adjust the controller gain in real time to adapt to different loads and environmental changes. In addition, this embodiment designs a fuzzy logic system to adjust the control parameters according to the input error and the error change rate. The fuzzy rule base can be established through expert experience or data-driven methods.

[0137] 3. Real-time feedback and adjustment, establish a closed-loop feedback control system, adjust the control strategy in real time, and use online learning algorithms (such as reinforcement learning) to continuously optimize the control strategy.

[0138] 4. Simulation and testing, test the performance of the adaptive control algorithm in a simulation environment and adjust the parameters to optimize the effect.,Test on actual equipment to verify the stability and adaptability of the algorithm.

[0139] 5. Optimization and maintenance: Regularly update model parameters and control strategies to adapt to equipment wear and environmental changes. System upgrade: Upgrade adaptive control algorithms based on new technologies and requirements.

[0140] Through these steps, this embodiment can realize an efficient adaptive control algorithm, so that the portable shallow exploration source device can maintain the best performance under different working conditions.

[0141] Furthermore, the storage battery 7 serves as the energy supply center of the entire system, providing stable power for the stepper motor controller and the screw stepper motor 2. This ensures that the system works continuously and reliably. The stepper motor controller is the control center of the system, which receives operation instructions from the outside and converts them into motion instructions for the stepper motor. The controller can accurately control the rotation angle and speed of the stepper motor to ensure that the stretching process of the spring is carried out according to the preset program. The spring, the weight 4 and the electrode are installed in the shell 1. The shell 1, as a protective structure, provides the necessary mechanical strength to protect the internal components from damage by the external environment and ensure the safety of the operator; at the same time, the design of the shell 1 also takes into account factors such as heat dissipation and dust prevention to ensure the long-term stable operation of the system. The screw stepper motor 2 is an actuator, which converts rotational motion into linear motion through the internal screw structure, thereby pulling the strong spring 5 for stretching. The high precision and stability of the motor ensure the accuracy and reliability of spring stretching. The strong spring 5 is the energy storage element of the system, which gradually stretches and stores energy under the pull of the screw stepper motor 2. When the buckle mechanism is unlocked, the energy stored in the spring will be quickly released, providing power for generating a strong vibration signal. The heavy hammer 4 is the direct generator of the vibration signal. Under the dual effects of spring tension and gravity, the heavy hammer 4 falls rapidly and hammers the ground, converting the energy stored in the spring into a vibration signal. The quality and shape design of the heavy hammer 4 directly affect the intensity and characteristics of the vibration signal. The buckle unlocking mechanism is a key component to ensure the safe and stable operation of the system. It can accurately unlock the spring when it is stretched to the preset position, releasing the energy stored in the spring. At the same time, when the buckle runs to the bottom, it can accurately capture the heavy hammer 4 and pull it up when the pull rod moves upward. At the same time, the position of the unlocking mechanism and the parameters of the stepper motor can be adjusted to obtain hammering of different energies. The accuracy and reliability of this mechanism are the key to whether the system can work properly. The source effect generated by this device refers to Figure 2 .

[0142] The beneficial effects of the present invention are as follows:

[0143] The present invention isolates external interference and blocks the diffusion of internal dust through the shell; provides huge impact force in a short distance and generates a strong vibration source through the heavy hammer and strong spring; controls the vibration speed and frequency of the heavy hammer through the stepper motor controller and the screw stepper motor; and fixes the position of the heavy hammer through the buckle and unlocking mechanism.

[0144] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referenced to each other.

[0145] The principles and implementation methods of the present invention are described in this article using specific examples. The description of the above embodiments is only used to help understand the method and core idea of ​​the present invention. At the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting the present invention.

Claims

1. A portable shallow exploration source device, characterized in that: include: Battery, stepper motor controller, housing, screw stepper motor, buckle and unlocking mechanism, heavy hammer and strong spring; The bottom of the shell is an annular structure; the lower end of the weight is in an inverted T shape; the upper end of the weight is in a concave shape; the upper end of the weight is in contact with the inner wall of the shell; the strong spring is arranged between the inner side of the bottom of the shell and the bottom of the upper end of the weight; the lower end of the buckle and unlocking mechanism is in a clamp shape; the upper end of the buckle and unlocking mechanism is fixed to the shell by a buckle; the screw stepper motor is arranged on the upper side of the buckle and unlocking mechanism; the bottom of the lower end of the buckle and unlocking mechanism is connected to the top of the weight; the transmission rod of the screw stepper motor is connected to the center of the clamp mechanism at the lower end of the buckle and unlocking mechanism; a reset spring is arranged between the upper part of the clamp mechanism at the lower end of the buckle and unlocking mechanism and the transmission rod of the screw stepper motor; the screw stepper motor is connected to the stepper motor controller; the stepper motor controller is connected to the battery; The stepper motor controller is used to collect external control instructions, and control the rotation angle and speed of the screw stepper motor according to the control instructions; the screw stepper motor is used to control the extension of the powerful spring through the transmission rod of the screw stepper motor; the powerful spring is used to accumulate elastic potential energy, and convert the accumulated elastic potential energy into the kinetic energy of the weight; the buckle and unlocking mechanism is used to fix the weight and the powerful spring that has completed energy storage when the powerful spring is stretched to a preset position; The heavy hammer is used for hammering the target ground.

2. A portable shallow exploration source device according to claim 1, characterized in that: The shell is also provided with a plurality of concave and convex grooves inside; The concave-convex groove is fitted with the upper part of the weight; The concave and convex grooves are used to fix the weight and construct a sealed space.

3. A portable shallow exploration source device according to claim 1, characterized in that: The interior of the shell is coated with butter; The butter is used to reduce friction losses and heat generation.

4. A portable shallow exploration source device according to claim 1, characterized in that: The screw stepping motor is provided with a screw structure; The screw structure is used to convert the rotational motion of the screw stepper motor into linear motion.

5. The portable shallow exploration source device according to claim 1, characterized in that: The buckle and unlocking mechanism is also provided with an unlocking position module; The unlocking position module is disposed on the outer surface of the housing; The unlocking position module is used to adjust the fixed stroke of the heavy hammer according to user requirements.

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