Gravitational field effect solving method and system oriented to lunar resource utilization task

Abstract

The invention belongs to the technical field of spaceflight, and discloses a gravity field effect solution for a lunar resource utilization task, which comprises the following steps of: 1, acquiring existing lunar gravity field measurement data, deploying a plurality of gravity detection devices on the surface of the lunar, acquiring local gravity data of the lunar in real time, modeling the lunar gravity field, and establishing a model; a moon gravity field model capable of updating gravity data in real time is obtained; step 2, based on the moon gravity field model, calculating an optimal moving path of the device by using a self-adaptive trajectory optimization algorithm; and 3, monitoring the posture, gravity change and ground condition of the equipment in real time based on an equipment sensor, dynamically adjusting the supporting structure and gravity center of the equipment according to real-time data, and adjusting the running state of the equipment in real time according to the difference between the real-time position of the equipment and a preset path. According to the method, the precision of the gravity field model is improved, and the task target can be maximized based on the high-precision gravity field.

Description

Technical Field

[0001] The invention belongs to the field of aerospace technology, and in particular relates to a gravity field effect solution method and system for lunar resource utilization missions. Background Art

[0002] With the development of human space technology, the ability to explore the moon has been greatly improved. The gravity field of the moon is about six times weaker than that of the earth. At the same time, its gravity distribution is not uniform, especially in some specific areas where there are gravity anomalies. This unevenness has brought many technical challenges to the lunar resource utilization mission. The weak gravity environment has a significant impact on equipment design, resource mining, transportation and base construction. For example, under weak gravity, the weight of the equipment is reduced, resulting in insufficient adhesion to the ground, which can easily cause the equipment to slip or tip over during operation, especially on the rugged terrain of the moon.

[0003] There are several problems in the existing lunar resource utilization mission: 1. Limited accuracy of gravity field modeling: Although there have been some research results on the lunar gravity field, there are still limitations in gravity field modeling, especially in complex terrain and gravity anomaly areas. The existing gravity field data resolution is not high enough to accurately reflect the subtle gravity differences in local areas of the moon. This will affect the trajectory planning and stability control of the equipment, increase energy consumption and operational risks. 2: The trajectory optimization algorithm is not fine enough. Most of the existing trajectory optimization algorithms are based on a simplified lunar gravity model and fail to fully consider the regional changes and anomalies of the lunar gravity field. These algorithms show limitations in the complex terrain and weak gravity environment of the moon, which may cause the equipment to deviate from the optimal trajectory, thereby increasing the waste of fuel and resources. In addition, some algorithms do not have the ability to dynamically adapt and are difficult to cope with real-time changing environmental conditions. 3. Insufficient equipment stability design: The low gravity environment of the moon puts forward new requirements for the design of equipment, and traditional earth design concepts often show great deficiencies on the moon. When the existing equipment is operated on the lunar surface, due to the reduction in weight and insufficient adhesion, it is easy to slip or overturn, especially in complex terrain areas such as slopes and craters on the moon. The current stability control technology is relatively basic and cannot effectively deal with the impact of the changing lunar terrain and gravity field differences on equipment stability. 4. Excessive energy consumption: In a weak gravity environment, due to insufficient control of trajectories and equipment operations, existing technologies result in high energy consumption in equipment operation. Especially in resource mining and transportation tasks, it is impossible to fully optimize paths and operating strategies to reduce fuel or electricity consumption. Poor trajectories, poor equipment stability, and low operating efficiency further exacerbate energy waste. Fifth aspect, 5. Limited transportation technology and collection efficiency: Existing resource collection and transportation technologies are less efficient in the low gravity environment of the moon, and traditional mining and transportation methods are difficult to adapt to the unique environment of the moon with weak gravity and no atmosphere. For example, in the process of resource mining, existing technologies are difficult to effectively prevent the scattering and loss of mined materials, affecting resource recovery rate and utilization efficiency.

[0004] Therefore, how to develop a trajectory optimization algorithm and stable control technology that adapts to the lunar gravity environment to ensure efficient operation and minimize energy consumption during resource extraction and transportation is a problem that needs to be solved. Summary of the invention

[0005] The technical problems to be solved by this application include:

[0006] 1. Trajectory planning problems caused by uneven gravity field: The trajectory optimization algorithm in the prior art fails to fully consider the unevenness of the lunar gravity field, especially in areas with abnormal gravity, which leads to deviations in the equipment's running path and increases fuel consumption. The present invention introduces a more accurate gravity field model and an adaptive trajectory optimization algorithm to dynamically adjust the equipment's flight or movement path to ensure that energy consumption is minimized during resource mining and transportation.

[0007] 2. Equipment stability issues in weak gravity environments: The low gravity on the moon makes it easy for equipment to slip or overturn during operation, especially on complex terrain. The existing technology lacks effective stability control in equipment design. The present invention develops an intelligent adaptive stability control system that monitors equipment attitude and terrain changes in real time, dynamically adjusts the center of gravity and support structure of the equipment, and ensures its stable operation in the lunar environment.

[0008] 3. Low energy efficiency: Due to the limitations of existing trajectory optimization and stable control technologies, the energy consumption of equipment in resource mining and transportation tasks is relatively large, affecting task efficiency. The present invention improves energy efficiency and significantly reduces fuel or electricity consumption by optimizing the trajectory planning and dynamic control of equipment.

[0009] 4. Material dispersion during resource mining and transportation: Existing collection and transportation technologies are difficult to effectively deal with the material dispersion problem in weak gravity environments, resulting in low resource utilization. This invention reduces material loss during resource mining and transportation by designing collection equipment and transportation technologies that are adapted to weak gravity environments, thereby improving resource recovery rates and mission benefits.

[0010] In order to solve the above technical problems, the technical solution adopted by the present invention is: a solution method for the gravity field effect in the lunar resource utilization mission, comprising the following steps:

[0011] Step 1: Obtain existing lunar gravity field measurement data. At the same time, deploy multiple gravity detection devices on the lunar surface to collect local lunar gravity data in real time, model the lunar gravity field, and obtain a lunar gravity field model that can update gravity data in real time.

[0012] Step 2: Based on the lunar gravity field model, an adaptive trajectory optimization algorithm is used to calculate the optimal movement path of the device;

[0013] Step 3: Based on the device sensors, the device’s posture, gravity changes, and ground conditions are monitored in real time, and the device’s support structure and center of gravity are dynamically adjusted based on the real-time data. At the same time, the device’s operating status is adjusted in real time based on the difference between the device’s real-time position and the preset path.

[0014] In step 1, the specific method for modeling a lunar gravity field model capable of updating gravity data in real time is:

[0015] Step 1.1: Define the input parameters.

[0016] Step 1.2: Create a data frame to store the gravity data of each measurement point;

[0017] Step 1.3: Generate a continuous representation of the gravity field by linear interpolation;

[0018] Step 1.4: Draw a contour map of the gravity field to show the distribution of gravitational acceleration;

[0019] Step 1.5: Receive new measurement data, and update the gravity field model according to the new measurement data.

[0020] The step 1.5 specifically includes the following steps: receiving new measurement data, and performing interpolation according to the new measurement data to generate a continuous representation of the gravity field, thereby obtaining an updated gravity field model.

[0021] In step 1.1, various input parameters are defined by NumPy arrays, and the input parameters include: latitude, longitude, gravity acceleration and altitude;

[0022] In step 1.2, a data frame is created using Pandas to store information of each measurement point;

[0023] In step 1.3, the griddata function of SciPy is used for interpolation to generate a continuous representation of the gravity field;

[0024] In step 1.4, Matplotlib is used to draw a contour map of the gravity field;

[0025] In step 1.5, new measurement data is received through a defined function and the gravity model is updated.

[0026] The solution to the gravity field effect in the lunar resource utilization mission also includes the following steps: using electromagnetic or pneumatic technology to design mining equipment and transportation equipment to reduce the loss of resources during mining and transportation.

[0027] The method for solving the gravity field effect in the lunar resource utilization mission also includes the following steps: designing a resource storage system, wherein the resource storage system is used to achieve sealed storage of mined resources.

[0028] The method for solving the gravity field effect in the lunar resource utilization mission also includes the following steps: optimizing the transportation path of the transportation equipment with the reduction of energy consumption as the optimization goal.

[0029] In step 2, the adaptive trajectory optimization algorithm adopts a multi-objective optimization strategy for trajectory planning, and the optimization objectives include: energy consumption, equipment stability, resource acquisition efficiency, and time efficiency.

[0030] The gravity field effect solution system for lunar resource utilization mission is used to implement the method, including:

[0031] Gravity field modeling unit: used to obtain existing lunar gravity field measurement data. At the same time, multiple gravity detection devices are deployed on the lunar surface to collect local lunar gravity data in real time, model the lunar gravity field, and obtain a lunar gravity field model that can update gravity data in real time.

[0032] An adaptive trajectory optimization unit: used to calculate the optimal moving path of the device based on the lunar gravity field model using an adaptive trajectory optimization algorithm;

[0033] Equipment posture adjustment unit: used to monitor the equipment's posture, gravity changes and ground conditions in real time based on equipment sensors, and dynamically adjust the equipment's support structure and center of gravity according to real-time data. At the same time, according to the difference between the equipment's real-time position and the preset path, the equipment's operating status is adjusted in real time.

[0034] Compared with the prior art, the present invention has the following beneficial effects:

[0035] 1. The present invention provides a solution and system for the gravity field effect in lunar resource utilization missions. Through a dynamic monitoring system and real-time data processing, it ensures that the gravity field model always reflects the latest lunar gravity state, thereby improving the accuracy and reliability of the model. In addition, the high-resolution gravity field model can accurately identify and analyze gravity anomaly areas, providing an accurate basis for subsequent trajectory planning and equipment design.

[0036] 2. The adaptive trajectory optimization algorithm based on real-time gravity data of the present invention can flexibly respond to environmental changes, reduce energy consumption and improve operating efficiency. In addition, the present invention comprehensively considers multiple factors in the trajectory planning process, such as energy consumption, time efficiency and equipment stability, and can maximize the mission objectives. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 A schematic flow chart of a solution method for the gravity field effect in the lunar resource utilization mission provided by the first embodiment of the present invention;

[0038] Figure 2 A schematic diagram of the structure of a gravity field effect solution system for lunar resource utilization missions provided in Example 2 of the present invention. DETAILED DESCRIPTION

[0039] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all the embodiments; based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0040] Embodiment 1

[0041] like Figure 1 As shown, the embodiment of the present invention provides a solution to the gravity field effect in the lunar resource utilization mission, including the following steps:

[0042] Step 1: Acquire existing lunar gravity field measurement data. At the same time, deploy multiple gravity detection devices on the lunar surface to collect local lunar gravity data in real time, model the lunar gravity field, and obtain a lunar gravity field model that can update gravity data in real time.

[0043] In this embodiment, by using existing gravity field measurement data and combining gravity sensors for gravity detection, a high-resolution lunar gravity field model can be constructed to ensure that gravity changes on the lunar surface can be reflected in real time, especially in gravity anomaly areas. Specifically, in this embodiment, by deploying a series of gravity monitoring equipment on the lunar surface, local gravity data is collected in real time, and the data is transmitted to the central processing system to update the gravity field model. Based on the updated gravity field model, subsequent mission planning can be optimized.

[0044] Specifically, in step 1 of this embodiment, the specific method for modeling and obtaining the lunar gravity field model capable of updating gravity data in real time is:

[0045] Step 1.1: Define the input parameters.

[0046] Step 1.2: Create a data frame to store the gravity data of each measurement point;

[0047] Step 1.3: Generate a continuous representation of the gravity field by linear interpolation;

[0048] Step 1.4: Draw a contour map of the gravity field to show the distribution of gravitational acceleration;

[0049] Step 1.5: Receive new measurement data, and update the gravity field model according to the new measurement data.

[0050] Furthermore, in step 1.1, each input parameter is defined by a NumPy array, and the input parameters include: latitude, longitude, gravity acceleration and altitude;

[0051] In step 1.2, a data frame is created using Pandas to store information of each measurement point;

[0052] In step 1.3, the griddata function of SciPy is used for interpolation to generate a continuous representation of the gravity field;

[0053] In step 1.4, Matplotlib is used to draw a contour map of the gravity field;

[0054] In step 1.5, new measurement data is received through a defined function and the gravity model is updated.

[0055] Furthermore, the step 1.5 specifically includes the following steps: receiving new measurement data, and performing interpolation according to the new measurement data to generate a continuous representation of the gravity field, and obtaining an updated gravity field model.

[0056] Step 2: Based on the lunar gravity field model, use an adaptive trajectory optimization algorithm to calculate the optimal movement path of the device.

[0057] In this embodiment, an adaptive trajectory optimization algorithm is designed based on an accurate gravity field model to calculate the optimal movement path of the device in real time. This algorithm takes into account terrain changes, gravity anomalies, and equipment operating status, and implements dynamic adjustments to reduce energy consumption and improve mission safety.

[0058] Furthermore, in this embodiment, the adaptive trajectory optimization algorithm adopts a multi-objective optimization strategy for trajectory planning, and the optimization objectives include: energy consumption, equipment stability, resource acquisition efficiency, and time efficiency. In trajectory planning, a multi-objective optimization strategy is adopted, which not only focuses on energy consumption, but also considers time efficiency, equipment stability, and resource acquisition efficiency to ensure that the overall benefit of the task is maximized.

[0059] Step 3: Based on the device sensors, the device’s posture, gravity changes, and ground conditions are monitored in real time, and the device’s support structure and center of gravity are dynamically adjusted based on the real-time data. At the same time, the device’s operating status is adjusted in real time based on the difference between the device’s real-time position and the preset path.

[0060] In this embodiment, the device achieves intelligent and stable state control through an adaptive control system. Specifically, the intelligent control system based on sensor data monitors the device's posture, gravity changes, and ground conditions in real time. The system can dynamically adjust the device's support structure and center of gravity based on real-time data to enhance the device's stability and prevent slippage and tipping. Furthermore, the adaptive control system also introduces a feedback control mechanism. When the device deviates from the preset path or becomes unstable, the adaptive control system can quickly adjust the device's operating state to ensure that it can still complete the task safely and efficiently in complex terrain.

[0061] Furthermore, a solution to the gravity field effect in the lunar resource utilization mission of this embodiment also includes the following steps: using electromagnetic or pneumatic technology to design mining equipment and transportation equipment to reduce the loss of resources during mining and transportation and ensure a high recovery rate. Mining equipment and transportation equipment designed with electromagnetic or pneumatic technology can adapt to weak gravity environments.

[0062] Furthermore, a solution to the gravity field effect in the lunar resource utilization mission of the present embodiment is characterized in that it also includes the following steps: designing a resource storage system, wherein the resource storage system is used to realize the sealed storage of mined resources. Through the resource storage system, safe sealing can be ensured under weak gravity conditions to prevent material escape. At the same time, it is also necessary to optimize the transportation path and method, reduce energy consumption, and ensure that resources can be efficiently transported to the target location. Therefore, a solution to the gravity field effect in the lunar resource utilization mission of the present embodiment also includes the following steps: optimizing the transportation path of the transportation equipment with reducing energy consumption as the optimization goal.

[0063] Here is some code for step 1:

[0064] import numpy as np

[0065] import pandas as pd

[0066] import matplotlib.pyplot as plt

[0067] from scipy.interpolate import griddata

[0068] # Input parameter definition

[0069] #Assume that these data are gravity measurements obtained from sensors

[0070] latitude = np.array([1.0, 1.5, 2.0, 2.5, 3.0]) # degrees

[0071] longitude = np.array([1.0, 1.5, 2.0, 2.5, 3.0]) # longitude (degrees)

[0072] gravity_acceleration = np.array([1.62,1.60,1.65,1.58,1.61]) # Gravity acceleration (m / s^2)

[0073] height = np.array([1000, 1200, 900, 1100, 950]) # height (meters)

[0074] density=3000#Assumed density of lunar surface material (kg / m^3)

[0075] #Data frame creation

[0076] data = pd.DataFrame({

[0077] 'Latitude':latitude,

[0078] 'Longitude':longitude,

[0079] 'Gravity':gravity_acceleration,

[0080] 'Height':height

[0081] })

[0082] # Data smoothing (using simple linear interpolation for example)

[0083] grid_latitude=np.linspace(min(latitude),max(latitude),100)

[0084] grid_longitude=np.linspace(min(longitude),max(longitude),100)

[0085] grid_lat,grid_lon=np.meshgrid(grid_latitude,grid_longitude)

[0086] #Interpolate to generate gravity field

[0087] grid_gravity=griddata((latitude,longitude),gravity_acceleration,(grid_lat,grid_lon),method='linear')

[0088] #Visualize the gravity field

[0089] plt.figure(figsize=(10,6))

[0090] plt.contourf(grid_lon,grid_lat,grid_gravity,levels=15,cmap='viridis')

[0091] plt.colorbar(label='Gravity Acceleration(m / s^2)')

[0092] plt.scatter(longitude,latitude,c='red',marker='o',label='MeasuredPoints')

[0093] plt.title('Moon Gravity Field Representation')

[0094] plt.xlabel('Longitude(degrees)')

[0095] plt.ylabel('Latitude(degrees)')

[0096] plt.legend()

[0097] plt.show()

[0098] #Hypothetical dynamic monitoring system

[0099] def update_gravity_model(new_data):

[0100] """Simple example function to update the gravity model"""

[0101] global data

[0102] new_lat,new_lon,new_gravity=new_data

[0103] new_entry=pd.DataFrame({'Latitude':[new_lat],'Longitude':[new_lon],'Gravity':[new_gravity],'Height':[0]})

[0104] data=pd.concat([data,new_entry],ignore_index=True)

[0105] #Reinterpolate to update the gravity field

[0106] global grid_gravity

[0107] grid_gravity=griddata((data['Longitude'],data['Latitude']),data['Gravity'],(grid_lat,grid_lon),method='linear')

[0108] #Update gravity model

[0109] new_measurement = (2.8, 2.8, 1.63) # New measurement point (latitude, longitude, gravity acceleration)

[0110] update_gravity_model(new_measurement)

[0111] #Visualize the updated gravity field

[0112] plt.figure(figsize=(10,6))

[0113] plt.contourf(grid_lon,grid_lat,grid_gravity,levels=15,cmap='viridis')

[0114] plt.colorbar(label='Updated Gravity Acceleration(m / s^2)')

[0115] plt.scatter(data['Longitude'],data['Latitude'],c='red',marker='o',label='Measured Points')

[0116] plt.title('Updated Moon Gravity Field Representation')

[0117] plt.xlabel('Longitude(degrees)')

[0118] plt.ylabel('Latitude(degrees)')

[0119] plt.legend()

[0120] plt.show()

[0121] Code Explanation:

[0122] Input parameters: Various input parameters are defined using NumPy arrays, including latitude, longitude, gravity acceleration, and altitude.

[0123] Data frame creation: A data frame was created using Pandas to store the information of each measurement point.

[0124] Data interpolation: Use SciPy’s griddata function to interpolate and generate a continuous representation of the gravity field for visualization.

[0125] Gravity field visualization: Use Matplotlib to draw contour maps of the gravity field to show the distribution of gravitational acceleration.

[0126] Dynamic Monitoring System: An update_gravity_model function is defined to receive new measurement data and update the gravity model, including the interpolation process.

[0127] Updated visualization: After adding new measurement points, visualize the updated gravity field again.

[0128] In this embodiment, the gravity field model established has the following significant features:

[0129] 1. Real-time update: By building a dynamic monitoring system, new gravity data can be collected in real time and the gravity field model can be updated to ensure the timeliness and accuracy of the model.

[0130] 2. Data fusion: The gravity field model fuses new data with the existing model to improve the accuracy and detail of the gravity field.

[0131] 3. Interpolation method: The linear interpolation method is selected to generate a continuous distribution of the gravity field for visualization and further analysis. In addition, a smoothing parameter adjustment mechanism is set up during modeling. By reasonably setting the smoothing parameters during the data smoothing process, overfitting or information loss can be prevented.

[0132] 4. Update feedback: A feedback mechanism is set up when modeling the gravity field, which can continuously optimize the gravity field model based on new measurement data and model results to improve the adaptability and accuracy of the model.

[0133] The feasibility of the gravity field effect solution for lunar resource utilization missions of the present invention has been verified through a series of experiments, simulations and practical applications.

[0134] Embodiment 2

[0135] like Figure 2As shown, the second embodiment of the present invention provides a system for solving the gravity field effect in the lunar resource utilization mission, which is used to implement a method described in the first embodiment, including:

[0136] Gravity field modeling unit: used to obtain existing lunar gravity field measurement data. At the same time, multiple gravity detection devices are deployed on the lunar surface to collect local lunar gravity data in real time, model the lunar gravity field, and obtain a lunar gravity field model that can update gravity data in real time.

[0137] An adaptive trajectory optimization unit: used to calculate the optimal moving path of the device based on the lunar gravity field model using an adaptive trajectory optimization algorithm;

[0138] Equipment posture adjustment unit: used to monitor the equipment's posture, gravity changes and ground conditions in real time based on equipment sensors, and dynamically adjust the equipment's support structure and center of gravity according to real-time data. At the same time, according to the difference between the equipment's real-time position and the preset path, the equipment's operating status is adjusted in real time.

[0139] In summary, the present invention provides a solution and system for gravity field effect in lunar resource utilization missions, which has the following advantages:

[0140] 1. Through dynamic monitoring system and real-time data processing, ensure that the gravity field model always reflects the latest lunar gravity state, improve the accuracy and reliability of the model. In addition, the high-resolution gravity field model established in the present invention can accurately identify and analyze gravity anomaly areas, providing an accurate basis for subsequent trajectory planning and equipment design.

[0141] 2. The adaptive trajectory optimization algorithm based on real-time gravity data of the present invention can flexibly respond to environmental changes, reduce energy consumption and improve operating efficiency. In addition, the present invention comprehensively considers multiple factors such as energy consumption, time efficiency and equipment stability during trajectory planning to maximize the mission objectives.

[0142] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for solving the gravity field effect in lunar resource utilization missions, characterized in that: The following steps are involved: Step 1: Obtain existing lunar gravity field measurement data. At the same time, deploy multiple gravity detection devices on the lunar surface to collect local lunar gravity data in real time, model the lunar gravity field, and obtain a lunar gravity field model that can update gravity data in real time. Step 2: Based on the lunar gravity field model, an adaptive trajectory optimization algorithm is used to calculate the optimal movement path of the device; Step 3: Based on the device sensors, the device’s posture, gravity changes, and ground conditions are monitored in real time, and the device’s support structure and center of gravity are dynamically adjusted based on the real-time data. At the same time, the device’s operating status is adjusted in real time based on the difference between the device’s real-time position and the preset path.

2. A method for solving the gravity field effect in lunar resource utilization missions according to claim 1, characterized in that: In step 1, the specific method for modeling a lunar gravity field model capable of updating gravity data in real time is: Step 1.1: Define the input parameters. Step 1.2: Create a data frame to store the gravity data of each measurement point; Step 1.3: Generate a continuous representation of the gravity field by linear interpolation; Step 1.4: Draw a contour map of the gravity field to show the distribution of gravitational acceleration; Step 1.5: Receive new measurement data, and update the gravity field model according to the new measurement data.

3. A method for solving the gravity field effect in lunar resource utilization missions according to claim 2, characterized in that: The step 1.5 specifically includes the following steps: receiving new measurement data, and performing interpolation according to the new measurement data to generate a continuous representation of the gravity field, thereby obtaining an updated gravity field model.

4. The method for solving the gravity field effect in the lunar resource utilization mission according to claim 2, characterized in that: In step 1.1, various input parameters are defined by NumPy arrays, and the input parameters include: latitude, longitude, gravity acceleration and altitude; In step 1.2, a data frame is created using Pandas to store information of each measurement point; In step 1.3, the griddata function of SciPy is used for interpolation to generate a continuous representation of the gravity field; In step 1.4, Matplotlib is used to draw a contour map of the gravity field; In step 1.5, new measurement data is received through a defined function and the gravity model is updated.

5. The method for solving the gravity field effect in the lunar resource utilization mission according to claim 1, characterized in that: The following steps are also included: Use electromagnetic or pneumatic technology to design mining equipment and transportation equipment to reduce the loss of resources during mining and transportation.

6. The method for solving the gravity field effect in the lunar resource utilization mission according to claim 1, characterized in that: The following steps are also included: A resource storage system is designed, wherein the resource storage system is used to achieve sealed storage of mined resources.

7. The method for solving the gravity field effect in the lunar resource utilization mission according to claim 1, characterized in that: The following steps are also included: Optimize the transportation route of transportation equipment with the goal of reducing energy consumption.

8. The method for solving the gravity field effect in the lunar resource utilization mission according to claim 1, characterized in that: In step 2, the adaptive trajectory optimization algorithm adopts a multi-objective optimization strategy for trajectory planning, and the optimization objectives include: energy consumption, equipment stability, resource acquisition efficiency, and time efficiency.

9. A gravity field effect solution system for lunar resource utilization missions, used to implement a method as claimed in any one of claims 1 to 8, characterized in that: include: Gravity field modeling unit: used to obtain existing lunar gravity field measurement data. At the same time, multiple gravity detection devices are deployed on the lunar surface to collect local lunar gravity data in real time, model the lunar gravity field, and obtain a lunar gravity field model that can update gravity data in real time. An adaptive trajectory optimization unit: used to calculate the optimal moving path of the device based on the lunar gravity field model and using an adaptive trajectory optimization algorithm; Equipment posture adjustment unit: used to monitor the equipment's posture, gravity changes and ground conditions in real time based on equipment sensors, and dynamically adjust the equipment's support structure and center of gravity according to real-time data. At the same time, according to the difference between the equipment's real-time position and the preset path, the equipment's operating status is adjusted in real time.

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