Construction method and system of lunar exploration test field
By constructing a lunar exploration test site and simulating the lunar environment using real data, the collaborative exploration capabilities of multiple payloads were verified, solving the problem of insufficient joint verification of payloads in existing technologies and realizing intelligent and efficient collaborative exploration of the moon.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-11-19
- Publication Date
- 2026-03-24
AI Technical Summary
In existing lunar exploration missions, the joint verification of multiple payloads lacks systematicity, and the application of artificial intelligence technology on the lunar surface is unexplainable, resulting in insufficient intelligent interpretation and autonomous mission planning capabilities, making it difficult to meet the timeliness requirements of deep space exploration missions.
A lunar exploration test site will be constructed to acquire data on lunar surface topography and soil composition, simulate polar illumination conditions, prepare lunar geological research targets, set lunar-based Earth observation targets, and conduct multi-payload exploration mission verification in conjunction with a digital platform.
It enhances the intelligence level and multi-agent collaboration of lunar exploration, supports the simulation and verification of scientific exploration plans, improves popular science education capabilities, and ensures the reliability and collaborative efficiency of payloads in the lunar environment.
Smart Images
Figure CN121725697A_ABST
Abstract
Description
Technical Field
[0001] This disclosure relates to the field of lunar exploration technology, and in particular to a method and system for constructing a lunar exploration test site. Background Technology
[0002] Based on the practical experience of lunar and Mars exploration missions, the selection and identification of scientific exploration points of interest on the lunar and Martian surfaces still largely follows the multi-system collaborative telemetry and control model established in the early stages of the lunar exploration program. This model is heavily reliant on ground systems, specifically requiring manual interpretation and analysis of data transmitted from the probe platform. Based on these manual decisions, a step-by-step exploration plan is developed, and finally, the rover carrying payloads executes close-range exploration missions by injecting command sets. This closed-loop remote operation method has significant limitations: firstly, it involves complex system components and requires a very large volume of data to be transmitted for manual site selection; secondly, the long cycle of ground decision-making and command execution directly restricts the efficiency of payloads in executing exploration missions and reduces the output efficiency of high-quality scientific data, making it difficult to meet the higher timeliness requirements of deep space exploration missions.
[0003] Therefore, relying on traditional closed-loop remote operation methods for exploration in future missions is no longer suitable for the development needs of future missions. It is urgent to carry out research on advanced intelligent methods and application technologies applicable to lunar and deep space exploration, develop the ability of payloads to intelligently interpret exploration targets and plan on-orbit exploration missions, and improve the autonomy of deep space probes.
[0004] However, due to the lack of interpretability of artificial intelligence technology, its large-scale application on the lunar surface introduces problems in payload testing and verification. This is mainly manifested in the fact that the training results of the artificial intelligence technology used in the payload heavily depend on the training and testing of a large dataset. However, previous exploration missions have not specifically carried out multimodal data acquisition work to support artificial intelligence applications. The construction of datasets and the evaluation of intelligent exploration capabilities will depend on ground simulation conditions. Therefore, there is an urgent need to provide a method for constructing a lunar exploration test site with a high degree of realism to the scientific exploration environment of international lunar research stations. Summary of the Invention
[0005] This disclosure provides a method and system for constructing a lunar exploration test site to address the existing problem of a lack of effective verification for multiple payloads performing lunar exploration missions.
[0006] In view of the above problems, firstly, the present disclosure provides a method for constructing a lunar exploration test site, comprising: Acquire lunar exploration data; the lunar exploration data includes: lunar surface topography and geomorphological features and lunar regolith composition; Based on the lunar surface topography and geomorphological features, simulate polar illumination conditions and determine the layout of the lunar surface simulation site; Based on the lunar soil composition, a simulation target for lunar surface geological research is prepared; wherein, the simulation target for lunar surface geological research is set on a lunar surface simulation site; Based on the location of the landing area at the lunar surface simulation site, the layout of lunar-based Earth observation targets is determined; wherein, the lunar-based Earth observation targets are used to simulate Earth; Based on the lunar surface simulation site layout, the lunar surface geological research simulation targets, the lunar-based Earth observation target layout, the lunar exploration mission, and the pre-constructed digital platform, the execution of the lunar exploration mission by multiple payloads is verified.
[0007] In conjunction with the first aspect, in one possible implementation, determining the lunar surface simulation site layout based on the lunar surface topography and geomorphological features, simulating polar illumination conditions, includes: Based on the lunar surface topography and landform features, the basic lunar surface topography and landforms are determined according to a preset scaling ratio; wherein, the basic lunar surface topography and landforms include: lunar slope, hills, craters and meteorite impact craters; The walls and ceiling surfaces of the area where the lunar simulation site is located are treated with low albedo blackening, and projection technology is used on the walls to simulate the far-field visual effect of the lunar surface. The far-field visual effects of the lunar surface and the visual effects of the basic topography of the lunar surface are visually stitched together to determine the layout of the simulated lunar site.
[0008] In conjunction with the first aspect, in one possible implementation, the lunar geological study simulation targets include: isolated rocks, rubble piles, luminous areas, glass beads, bedrock, and layered rock structures.
[0009] In conjunction with the first aspect, in one possible implementation, the step of preparing a lunar surface geological research simulation target based on the lunar soil composition includes: The composition of the lunar soil was analyzed to prepare specimens for simulating lunar surface geological research. Analyzing specimens from simulated lunar geological research targets yielded the first characteristics; these first characteristics include: rock features, mineral composition, chemical composition, and spectral characteristics. If the first feature meets the expected results, prepare a lunar geological research simulation target based on the specimen of the lunar geological research simulation target.
[0010] In conjunction with the first aspect, in one possible implementation, determining the layout of lunar-based Earth observation targets based on the location of the landing area of the lunar simulated site includes: Based on the first distance from the lunar surface to the Earth's center of mass corresponding to the lunar exploration mission, the second distance from the landing area of the lunar simulated site to the lunar-based Earth observation target, and the Earth's diameter, the diameter and position of the lunar-based Earth observation target are determined; wherein, the lunar-based Earth observation target is set on a hoisting mechanism with low albedo blackening treatment to adjust the position of the lunar-based Earth observation target and control the rotation of the lunar-based Earth observation target.
[0011] In conjunction with the first aspect, in one possible implementation, determining the layout of lunar-based Earth observation targets based on the location of the landing area of the lunar simulated site further includes: Based on the location of the landing area of the lunar simulated site, a solar simulation array is used to construct the illumination conditions for observing lunar-based Earth observation targets.
[0012] In conjunction with the first aspect, in one possible implementation, the digital platform includes: environmental simulation parameters required for the lunar exploration mission; the environmental simulation parameters include at least one of the following: particles, fields, electromagnetic waves, detectors, and celestial bodies.
[0013] Secondly, a system for constructing a lunar exploration test site is provided, including: The lunar exploration data acquisition module is used to acquire lunar exploration data, which includes: lunar surface topography and geomorphological features and lunar regolith composition. The lunar surface simulation site construction module is used to simulate polar illumination conditions and determine the layout of the lunar surface simulation site based on the lunar surface topography and geomorphological features. The lunar surface geology research simulation target construction module is used to prepare lunar surface geology research simulation targets based on the lunar soil composition; wherein, the lunar surface geology research simulation targets are set on a lunar surface simulation site; The lunar-based Earth observation target construction module is used to determine the layout of lunar-based Earth observation targets based on the location of the landing area of the lunar surface simulation site; wherein, the lunar-based Earth observation targets are used to simulate the Earth; The payload verification module is used to verify the execution of the lunar exploration mission by multiple payloads based on the lunar surface simulation site layout, the lunar surface geological research simulation target, the lunar base Earth observation target layout, the lunar exploration mission, and the pre-constructed digital platform.
[0014] In conjunction with the second aspect, in one possible implementation, the lunar surface simulation site construction module is used to determine the basic lunar surface topography and landforms according to the lunar surface topography and landform features and a preset scaling ratio; wherein, the basic lunar surface topography and landforms include: lunar slope, hills, craters and meteorite impact craters. The walls and ceiling surfaces of the area where the lunar simulation site is located are treated with low albedo blackening, and projection technology is used on the walls to simulate the far-field visual effect of the lunar surface. The far-field visual effects of the lunar surface and the visual effects of the basic topography of the lunar surface are visually stitched together to determine the layout of the simulated lunar site.
[0015] The beneficial effects of the embodiments disclosed herein include: This disclosure provides a method and system for constructing a lunar exploration test site, comprising: acquiring lunar exploration data; the lunar exploration data includes: lunar surface topography and geomorphological features and lunar regolith composition; simulating polar illumination conditions based on lunar surface topography and geomorphological features to determine the layout of the lunar surface simulation site; preparing simulated lunar geological research targets based on lunar regolith composition; wherein the simulated lunar geological research targets are set on the lunar surface simulation site; determining the layout of lunar-based Earth observation targets based on the location of the landing area of the lunar surface simulation site; wherein the lunar-based Earth observation targets are used to simulate Earth; and verifying the execution of lunar exploration missions by multiple payloads based on the lunar surface simulation site layout, the simulated lunar geological research targets, the layout of lunar-based Earth observation targets, the lunar exploration mission, and a pre-constructed digital platform. The method for constructing a lunar exploration test site provided in this disclosure can improve the intelligence level of lunar exploration, enhance the collaboration of multiple intelligent agents on the lunar surface, verify large-scale comprehensive lunar surface experiments and test capabilities, and improve science education capabilities by constructing a lunar exploration test site. Due to the complexity of multi-payload collaboration relationships, ground-based human decision-making is difficult. When conducting scientific exploration on the lunar surface, the lunar exploration test site can use digital means to support the simulation and process demonstration of new exploration plans, identify compatibility issues in the collaborative process early on, revise and optimize the exploration plan, and conduct 1:1 drills of key actions, processes, and links through physical simulations. The lunar exploration test site supports decision-making by ground-based researchers and ensures the long-term reliable operation of lunar research stations in orbit. The construction of the lunar exploration test site will systematically enhance the collaborative capabilities of efficient scientific exploration on the moon, acquire richer and more valuable scientific data, accelerate scientific output from lunar exploration, and promote scientific research in related fields. Simultaneously, it can support the verification of human-machine collaborative technologies related to manned lunar scientific exploration, sustainably support the efficient implementation of future lunar exploration missions, and possess high engineering demonstration and popular science value. Attached Figure Description
[0016] Figure 1 A flowchart illustrating the method for constructing a lunar exploration test site provided in this embodiment of the disclosure; Figure 2 A structural diagram of the lunar exploration test site construction system provided in this embodiment of the disclosure. Detailed Implementation
[0017] This disclosure provides a method and system for constructing a lunar exploration test site. Preferred embodiments of this disclosure are described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustrative and explanatory purposes only and are not intended to limit the scope of this disclosure. Furthermore, the embodiments and features described herein can be combined with each other unless otherwise specified.
[0018] This disclosure provides a method for constructing a lunar exploration test site, such as... Figure 1 As shown, it includes: S101. Acquire lunar exploration data; lunar exploration data includes: lunar surface topography and geomorphological features and lunar soil composition; S102. Based on the topographic features of the lunar surface, simulate polar illumination conditions and determine the layout of the lunar surface simulation site. S103. Based on the composition of lunar soil, prepare simulation targets for lunar surface geological research; wherein, the simulation targets for lunar surface geological research are set on a lunar surface simulation site; S104. Determine the layout of lunar-based Earth observation targets based on the location of the landing area of the lunar surface simulation site; wherein, the lunar-based Earth observation targets are used to simulate the Earth; S105. Based on the lunar surface simulation site layout, lunar surface geological research simulation targets, lunar-based Earth observation target layout, lunar exploration mission, and pre-constructed digital platform, verify the execution of lunar exploration missions by multiple payloads.
[0019] In this embodiment, based on the practical experience of lunar and Mars exploration missions, the selection and determination of scientific exploration points of interest on the lunar and Martian surfaces currently still uses the multi-system collaborative telemetry and control mode established in the early stages of the lunar exploration program. This mode is highly dependent on the ground system, specifically: it requires manual interpretation and analysis of data transmitted from the exploration platform, the development of a step-by-step exploration plan based on manual decision-making, and finally, the injection of command sets to control the rover carrying payloads to perform close-range exploration missions. This closed-loop remote operation method has significant limitations: on the one hand, it involves numerous system components and complex processes, placing extremely high demands on the volume of data transmitted back for manual point selection; on the other hand, the cycle of ground decision-making and command execution is long. These problems not only directly restrict the efficiency of payloads in performing exploration missions but also reduce the efficiency of producing high-quality scientific data, making it difficult to meet the increasingly demanding timeliness requirements of deep space exploration missions. Therefore, relying on traditional closed-loop remote sensing methods between space and ground is no longer sufficient to meet the evolving needs of future lunar and deep space exploration missions. Consequently, there is an urgent need for specialized research into advanced intelligent methods and application technologies for lunar and deep space exploration applications. The core objective is to enhance the payload's intelligent interpretation capabilities of exploration targets and its on-orbit mission planning capabilities, thereby systematically improving the autonomous operation level of deep space probes. However, the inherent lack of interpretability in the artificial intelligence technology employed by the payload poses a significant challenge to its testing and verification when applied on a large scale on the lunar surface. This challenge manifests primarily in the following ways: the training effectiveness of the AI model is highly dependent on massive datasets; both model training and performance testing require sufficient data as a foundation. However, past lunar exploration missions have not specifically undertaken the acquisition of multimodal data supporting AI applications, resulting in a significant shortfall in relevant data reserves. Currently, the construction of datasets and the evaluation of intelligent exploration capabilities still rely on ground-based simulations, making it difficult to fully guarantee data authenticity and scenario adaptability. A payload refers to a specialized device or system mounted on a probe (such as a rover, lander, or robot) or deployed using a probe to perform exploration operations and data acquisition. It is the core tool for completing exploration missions. The probe's movement and attitude adjustment functions provide support for the payload's work, while the payload's detection data is the key basis for realizing exploration missions (such as lunar surface topography analysis and soil composition research) and mission verification (such as intelligent detection capability testing). Currently, lunar exploration has formed some verification technologies, with the core revolving around ground calibration and verification tests of single-category payloads. These tests mainly target the performance indicators of the payloads and some exploration targets, conducting simulation and specialized verification. For example, for camera-type payloads, the focus is on radiometric calibration, geometric calibration, color calibration, and indoor and outdoor imaging tests to verify their imaging performance; for spectrometer-type payloads, spectral calibration and spectral detection verification tests for specific material components are added to ensure the accuracy of their component analysis; lunar rock processing payloads can achieve functions such as in-situ elemental analysis of the lunar surface, and current technologies only focus on verifying the grinding, preparation, and X-ray diffraction imaging capabilities of related payloads. Following the delivery of the aforementioned multi-category payloads, current joint testing only confirms the compatibility of basic parameters such as electrical interfaces and data communication protocols between the payloads. However, in practical lunar applications, the joint use of these payloads lacks system-level joint verification conditions, resulting in significant deficiencies in verification sufficiency and thus posing risks for on-orbit use. Specific risks are mainly reflected in the following aspects: 1. The existing verification process only focuses on the compliance of the single-unit product indicators of the payload, and cannot systematically verify the adaptability of the joint detection function of multiple payloads in the lunar environment, which may lead to functional failure when multiple payloads conduct cooperative detection. 2. Due to the unexplainability of artificial intelligence technology, the intelligent target identification, autonomous task planning and execution results on the lunar surface lack verification data support from real application scenarios, making it difficult to ensure the reliability of intelligent functions in real lunar scenarios. 3. There is a lack of real-world scenario training support for the lunar surface operation robot's capabilities in payload deployment and multi-payload collaborative operation, which makes it impossible to expose potential operational errors or coordination problems that may occur during the collaborative operation of the robot and payload.
[0020] In this embodiment, based on the lunar south polar topography, material composition distribution, micrometeorite impact craters, and distribution of surface and shallow rock masses obtained from multiple lunar exploration missions, and combined with polar illumination conditions, a lunar surface simulation site and its simulated targets are constructed. A truss model of the lunar probe's operating platform is developed, and a digital platform for lunar scientific operations is created to support ground testing and verification of autonomous scientific exploration and cross-platform collaborative operations by optical detection and lunar surface operation payloads. During the on-orbit exploration of the lunar mission, it supports the formulation, simulation, and digital display of the exploration plan. The lunar exploration test site can be constructed using automated equipment or through three-dimensional modeling and simulation using computer equipment. First, historical lunar exploration data is acquired, including lunar surface topography and geomorphological features and lunar regolith composition. Based on the lunar surface topography and geomorphological features, polar illumination conditions are simulated to determine the layout of the lunar surface simulation site, and the lunar surface simulation site is constructed. For example, the lunar simulation site is selected in a space with a floor height of no less than 10m and an area of no less than 500 square meters. The basic lunar topography is constructed using lightweight, pressure-resistant materials, based on the terrain conditions of the selected site for the lunar south pole research station. To simulate polar illumination conditions, the walls and ceiling surfaces of the lunar simulation site are treated with low-reflectivity blackening, such as by using black curtains. A large high-definition projection system is used to simulate the far-field visual effects of the lunar surface on some walls. These far-field visual effects are then visually stitched together with the visual effects of the basic lunar topography to construct the background conditions for lunar optical exploration, thereby determining the layout of the lunar simulation site.
[0021] Based on this, simulated lunar soil is prepared according to the composition ratio of lunar soil collected by lunar exploration missions such as the Chang'e series. Specimens for simulated lunar surface geological research targets are then prepared based on the lunar soil composition and surface covering is implemented on the basic lunar topography. For example, using the acquired lunar soil composition data as a standard, natural minerals (such as olivine and plagioclase) are selected and mixed according to the proportions of real lunar soil components using an artificial mixing method. By controlling the pressing pressure and particle screening process, the density, porosity, hardness, and other physical properties of lunar soil are simulated to prepare specimens for simulated lunar surface geological research targets that are highly consistent with the composition and physical properties of real lunar soil. Specimen types can include isolated rocks, gravel piles, lustrous areas, glass beads, bedrock, and layered rock structures, among other lunar surface geological research objects. During the target placement phase, referring to the distribution patterns of real lunar surface geological targets and combining them with the constructed basic lunar topography, the prepared simulated lunar surface geological research targets are precisely placed in the corresponding areas to ensure that the type and distribution density of the simulated lunar surface geological research targets are consistent with the real lunar surface geological scene.
[0022] The exploration missions related to lunar-based Earth observation targets include: macroscopic observations of lunar-based Earth energy balance and long-term, large-scale observations of the Earth's magnetosphere. These require real-time processing of Earth imaging data to accurately identify the Earth's target outline and achieve long-term, precise pointing and tracking of the Earth, thus validating the joint Earth observation capabilities of multiple Earth observation payloads. Therefore, the lunar-based Earth observation targets are used to simulate the Earth's azimuth, altitude, and rotation characteristics. The landing site on the lunar surface is simulated to simulate the payloads' observations of the Earth.
[0023] Furthermore, the lunar exploration test site includes: a lunar surface simulation area, a lunar geological research simulation target, a lunar-based Earth observation target, and a digital platform. The digital platform focuses on overall scientific objectives such as lunar geology, space exploration, Sun-Earth communication, scientific experiments, and resource utilization. It develops key capabilities for scientific exploration missions at the International Lunar Research Station, including simulation model construction and simulation simulation, scientific mission fulfillment assessment, and science education demonstrations. In terms of simulation model construction and simulation simulation, it mainly conducts high-precision digital modeling of the lunar environment, scientific exploration payloads, and scientific exploration processes, and realizes the simulation simulation and full-link visualization of scientific exploration missions through a virtual simulation system. Regarding scientific mission fulfillment assessment, it can conduct scientific exploration experiment design, scientific mission design, and scientific exploration simulation scenario design, construct an indicator system, and conduct assessments of scientific mission fulfillment. In terms of science education demonstrations, it constructs a scientific exploration science popularization application system for the lunar research station, showcasing key aspects such as scientific exploration targets, scientific exploration missions, scientific exploration processes, and scientific exploration results, thereby enhancing the social influence of the lunar research station. According to future lunar exploration missions, simulated payload structures or real products that require collaborative deployment by robots will be configured as objects for collaborative operation. Using the lunar exploration test site, the key operational processes of lunar robots, such as lunar surface release, payload deployment, attitude adjustment, lunar soil sampling, and lunar surface penetration, will be verified.
[0024] This application embodiment, by constructing a lunar exploration test site, can enhance the intelligence level of lunar exploration, improve the collaboration of multiple intelligent agents on the lunar surface, verify large-scale comprehensive lunar surface experiments and test capabilities, and improve science education capabilities. Due to the complexity of multi-payload collaboration relationships, ground-based human decision-making is extremely difficult. During scientific exploration work on the lunar surface, the lunar exploration test site can use digital means to support the simulation and process demonstration of new exploration plans, identify early matching problems in the collaborative process, revise and optimize the exploration plan, and conduct 1:1 drills of key actions, key processes, and key links through physical simulations. The lunar exploration test site supports decision-making by ground researchers and the long-term reliable on-orbit operation of lunar research stations. The construction of the lunar exploration test site will systematically improve the collaborative capabilities of efficient lunar scientific exploration, acquire richer and more valuable scientific exploration data, accelerate lunar scientific output, and promote scientific research in related fields. Simultaneously, it can also support the verification of human-machine collaborative technologies related to manned lunar scientific exploration, sustainably support the efficient implementation of future lunar exploration missions, and has high engineering demonstration and science education value.
[0025] In another embodiment of this disclosure, step S102 above, determining the layout of the lunar surface simulation site based on the lunar surface topography and geomorphological features and simulating polar illumination conditions, includes: Step 1: Based on the topographic features of the lunar surface, determine the basic topography of the lunar surface according to the preset scaling ratio; the basic topography of the lunar surface includes: lunar slope, hills, craters and meteorite impact craters. Step 2: Apply low-reflectivity blackening treatment to the walls and ceiling surfaces of the lunar simulation site area, and use projection technology on the walls to simulate the far-field visual effect of the lunar surface. Step 3: Visually stitch together the far-field visual effect of the lunar surface and the visual effect of the basic topography of the lunar surface to determine the layout of the simulated lunar site.
[0026] In this embodiment, a physical foundation is constructed based on the actual lunar surface topography, and then the far-field visual effect is optimized through surface processing and projection technology to form a lunar surface simulation site that balances the realism of the physical terrain with the integrity of the visual scene. This provides an environment close to the real lunar surface for subsequent probe payload testing and probe movement verification. Regarding step 1 above, the lunar surface topography can include: lunar slope, hills, craters, and impact craters. Based on the lunar surface topography, the basic lunar surface topography constructed according to a preset scaling ratio can include: lunar slope, hills, craters, and impact craters. Lunar slope can refer to the rate of elevation change of a point on the lunar surface and its neighborhood, and can be expressed in angles. For example, the lunar slope of the transition zone between lunar maria and highlands is typically 0 to 5°. Hills are positive lunar surface topography, with a base diameter of 1 to 20 km, a relative height difference of 50 to 500 m, and a slope generally of 5 to 25°. The formation of hills can be volcanoes, impact central peaks, or remnants of ancient highlands. Craters can be shallow, bowl-shaped negative landforms with a diameter of less than 1 km and a depth of 10 to 100 m, with an edge slope of less than 10°, and are mostly secondary impact craters or ejecta crater clusters. Meteorite impact craters can be ring-shaped depressions formed by the high-velocity impact of meteoroids. Lightweight, pressure-resistant materials can be used to construct the basic lunar terrain according to a preset scaling ratio, for example, using 3D printing technology. For example, for lunar slopes, modular designs can be constructed at 0 to 5°, 5 to 15°, and 15 to 30°. For hills, 3D printed models with a height of 1 to 3 m, a base diameter of 5 to 20 m, and a slope of 5 to 25° can be built. For craters, the diameter can be 0.5 to 5 m, the depth 0.1 to 0.5 m, and the edge slope less than 10°. For impact craters, the diameter can be 6m and the depth 1.2m, with a 25° slope, or the diameter can be 20m and the depth 2m, with a central peak height of 0.8m and stepped collapse terraces on the crater walls. Regarding step 2 above, the walls and ceiling surfaces of the simulated lunar surface are treated with low-albedo blackening. For example, a low-albedo blackening paint is used, with an albedo of less than 0.1, close to the albedo of real lunar soil. The purpose is to eliminate the reflection of ambient light (such as site lighting and external stray light) on the walls and ceiling, avoiding interference from reflected light with the optical payloads of the detector (such as cameras and spectrometers). Based on real lunar far-field scene data, such as the lunar horizon, distant impact crater clusters, and images of Earth or stars in the lunar sky, a large high-definition projection system is used, arranged according to the site size, to ensure complete projection coverage and accurately project the lunar far-field images onto the walls treated with low-albedo blackening. For step 3 above, spatial calibration technology is used to adjust the parameters of the projection system, such as projection angle, image scaling ratio, and color matching, to ensure that the far-field visual effect of the lunar surface projected on the wall is spatially geometrically connected with the visual effect of the basic topography of the lunar surface.Through color and brightness calibration, the hue and brightness of the far-field visual effect on the lunar surface are unified with the visual effect of the basic lunar topography, eliminating obvious differences in color and brightness. Optical equipment testing confirms that from any viewing angle on the site, especially from the possible observation angle of the payload, the far-field vision and the basic terrain are seamlessly integrated without obvious stitching marks, ultimately forming a complete lunar surface simulation site. For simulating polar illumination conditions, the lighting system can use a full-scale array of LED lights or simulate the illumination conditions of the lighting system. By accurately reproducing the lunar surface topography and simulating polar illumination conditions, the simulation further approximates the real lunar exploration scenario, improving the realism of the lunar surface simulation site.
[0027] In another embodiment of this disclosure, lunar geology study simulation targets include: isolated rocks, rubble piles, luminous areas, glass beads, bedrock, and layered rock structures.
[0028] In this embodiment, among the samples retrieved by lunar exploration missions such as the Chang'e series, lunar regolith is the main component. From the perspective of lunar geology, lunar impact craters, isolated rocks, rubble piles, lustrous areas, glass beads, bedrock, and layered rock structures contribute more to the study of the lunar formation and evolution history. The scientific value of various types of isolated rocks on the lunar surface is particularly prominent and has attracted widespread attention from lunar geologists. Isolated rocks can be discrete blocks with a diameter greater than or equal to 0.5 m and a height difference of greater than or equal to 0.2 m from the surrounding lunar regolith. Rubble piles can be loose accumulations of randomly stacked rubble fragments with a diameter greater than 0.1 m, a porosity of 30% to 50%, and a thickness of 0.5 to 5 m. Lustrous areas can be fresh surfaces with a reflectivity 15% to 30% higher than the surrounding lunar regolith, appearing as bright spots or streaks on the centimeter to meter scale. Glass beads can be nearly spherical silicate glass particles with a diameter of 50 µm to 5 mm. Bedrock is untransported, continuous, massive, primitive lunar crustal rock. The layered rock structure is a layered rock mass formed in the shallow part of the lunar crust by repeated volcanic overflows or impacts that cooled the lava pool. Different lithological bands and contact surfaces can be distinguished.
[0029] Lunar crustal rocks include anorthosite formed from the crystallization of igneous rocks and basalt formed from later magmatic eruptions. Basaltic rocks ejected onto the lunar surface and rapidly quenched can form basaltic glass, while basaltic magma intruding into the lunar crust forms gabbro. The lunar mantle is primarily composed of peridotite. Additionally, highly evolved granitic rocks have been detected in localized areas of the moon. Therefore, lunar surface geological research simulations primarily target various types of isolated rocks, rubble piles, lustrous areas, glass beads, bedrock, and layered rock structures. The simulation requirements can be met through the collection and artificial sintering of relevant terrestrial rocks.
[0030] In another embodiment of this disclosure, step S103 above, preparing a lunar surface geological research simulation target based on lunar soil composition, includes: Step 1: Analyze the composition of lunar soil and prepare specimens for simulating lunar surface geological research. Step 2: Analyze the specimens of the simulated target for lunar geological research to obtain the first characteristics; the first characteristics include: rock characteristics, mineral composition, chemical composition and spectral characteristics; Step 3: If the first feature meets the expected results, prepare a lunar geological research simulation target based on the specimen of the lunar geological research simulation target.
[0031] In this embodiment, specimens are prepared based on the actual composition of lunar regolith. The authenticity of the specimens is then verified through multi-dimensional feature analysis. Finally, the simulated lunar geological research target corresponding to the specimens that meet the expectations is set on a simulated lunar surface, forming a detection target highly consistent with the actual lunar geological characteristics. This provides a reliable carrier for subsequent payload performance testing and detection process verification. Regarding step 1 above, the composition of lunar regolith is analyzed, especially the types of rocks that can represent the main rock types that make up the Moon. Similar rock samples are collected on Earth to prepare specimens for the simulated lunar geological research target. Specimen analysis of the simulated lunar geological research target is conducted to provide reference data for its utilization. Regarding step 2 above, the rock characteristics, mineral composition, chemical composition, and spectral characteristics of the specimens for the simulated lunar geological research target are analyzed. For rock characteristics, grayscale images can be generated based on the difference in average atomic number under scanning electron microscopy (SEM) backscattered electron mode (BSE). Simultaneously, an energy dispersive spectroscopy (EDS) instrument is used to perform point or area scanning to provide the elemental count spectrum of each grayscale image, thereby calibrating the phases and obtaining phase energy dispersive spectral data. For mineral composition, samples from lunar geological research simulation targets can be fragmented to less than 10µm and X-ray diffraction can be used to obtain interplanar spacing-intensity spectra, thereby determining mineral types and relative abundances. For chemical composition, electron probe microanalysis (EPMA), XRF, ICP-MS, or laser ablation ICP-MS (LA-ICP-MS) can be used to provide major, trace, rare earth, and isotope ratios, typically normalized to oxide wt%. For spectral characteristics, the reflectance of the lunar geological research simulation target sample to sunlight can be obtained as a function of wavelength in the 0.4 to 2.5µm wavelength range. Regarding step 3 above, if the rock characteristics, mineral composition, chemical composition, and spectral characteristics are similar to those of lunar rocks, they can be used as simulations of lunar rocks, and corresponding lunar geological research simulation targets can be laid out on the lunar simulation site. Through multi-dimensional first feature detection, the limitations of single-component detection are avoided, ensuring that the physical, chemical, and optical properties of the sample are consistent with real lunar targets. By comparing with real lunar soil composition data, deviations in specimen preparation can be identified and corrected in a timely manner, significantly improving the overall fidelity of the lunar surface simulation site detection targets.
[0032] In another embodiment of this disclosure, step S104 above, determining the layout of lunar-based Earth observation targets based on the location of the landing area of the lunar simulated site, includes: Based on the first distance from the lunar surface to the Earth's center of mass corresponding to the lunar exploration mission, the second distance from the landing area of the lunar simulated site to the lunar-based Earth observation target, and the Earth's diameter, the diameter and position of the lunar-based Earth observation target are determined. The lunar-based Earth observation target is set on a hoisting mechanism with low albedo blackening treatment to adjust the position of the lunar-based Earth observation target and control its rotation.
[0033] In this embodiment, the installation position and diameter of the lunar-based Earth observation target are accurately calculated using the proportional relationship between the actual Earth-Moon distance and the Earth's diameter. The lunar-based Earth observation target is mounted on a low-albedo blackened hoisting mechanism, enabling position adjustment and rotation control. This ultimately constructs a dynamically adaptable lunar-based Earth observation target that meets the requirements of the exploration mission, providing a realistic observation object for subsequent payload testing. The diameter and position of the lunar-based Earth observation target are determined based on the first distance from the lunar surface to the Earth's center of mass corresponding to the lunar exploration mission, the second distance from the landing area of the simulated lunar surface site to the lunar-based Earth observation target, and the Earth's diameter. For example, the distance from the proposed landing area of the International Lunar Research Station to the Earth's center of mass is used as the first distance, which is 380,000 kilometers. The lunar-based Earth observation target is constructed to simulate the Earth. Within the area of the simulated lunar surface site, at a second observation distance of 38 meters, the diameter of the lunar-based Earth observation target is 1.28 meters. Lunar-based Earth observation targets are mounted on low-albedo blackened hoisting mechanisms, such as a six-DOF robotic arm, to achieve adjustments to Earth's azimuth and altitude, as well as simulation of its rotation. A low-albedo (albedo less than 0.1) blackened coating can be used to spray the surface of the hoisting mechanism to prevent surface reflections from interfering with optical payload observations.
[0034] In another embodiment of this disclosure, step S104 above, determining the layout of lunar-based Earth observation targets based on the location of the landing area of the lunar simulated site, further includes: Based on the location of the landing area of the lunar simulation site, a solar simulation array is used to construct the illumination conditions for observing lunar-based Earth observation targets.
[0035] In this embodiment, a solar simulation array accurately reproduces the illumination characteristics of different times and regions on the lunar surface, providing illumination conditions consistent with real-world lunar-based Earth observation targets. The entire process requires combining lunar illumination patterns (such as solar altitude angle and light intensity variations) with the needs of the observation mission to complete the parameter setting, layout construction, and illumination control of the solar simulation array. Ultimately, this provides reliable illumination environment support for subsequent optical payloads (such as high-resolution cameras and spectrometers), ensuring that observation data can be effectively mapped to real-world lunar exploration scenarios. The solar simulation array can generate a collimated beam on the ground equivalent to AMO space sunlight, providing a controllable, repeatable, and scannable artificial sun for lunar-based Earth observation payloads, solving the integrated testing challenge of Earth albedo and changes in solar perspective.
[0036] In another embodiment of this disclosure, the digital platform includes: environmental simulation parameters required for a lunar exploration mission; the environmental simulation parameters include at least one of the following: particles, fields, electromagnetic waves, detectors, and celestial bodies.
[0037] In this embodiment, key environmental simulation parameters required for lunar exploration missions are systematically integrated into a digital platform, forming a virtual verification system that can reproduce the lunar surface exploration environment and mission flow. This provides digital support for subsequent multi-payload collaborative exploration and mission flow optimization. By building the digital platform, direct detection targets such as particles (ions / electrons, neutral atoms, gases, dust, micrometeoroids), fields (electric fields, magnetic fields, gravitational fields, etc.), electromagnetic waves (radio waves, microwaves, ultraviolet light, visible light, infrared light, etc.), detectors (landers, rovers, flybys, etc.), and celestial bodies (Mercury, Callisto) required for payload testing are generated. Their parameters (such as particle density, velocity, temperature, composition, and motion speed) can be arbitrarily set according to testing needs. High-precision digital modeling is performed on the near-Earth space atmospheric ionospheric environment, magnetosphere, ionosphere, thermosphere, solar activity, and magnetospheric environment, supporting the simulation of natural environments such as particle and magnetic field environments, microwave environments, particle and optical environments, and lunar and deep space environments involved in space science satellites, lunar and deep space exploration missions. By integrating multi-dimensional environmental simulation parameters, the digital platform can accurately reproduce the complex physical environment and mission scenarios on the lunar surface, avoiding distortion of verification results due to incomplete environmental simulation, and enabling payload performance testing and mission process verification to be effectively mapped to real lunar exploration missions.
[0038] Based on the same disclosed concept, this disclosure also provides a system for constructing a lunar exploration test site. Since the principle by which these systems solve problems is similar to the aforementioned method for constructing a lunar exploration test site, the implementation of this system can refer to the implementation of the aforementioned method, and the repeated parts will not be described again.
[0039] This disclosure provides a system for constructing a lunar exploration test site, such as...Figure 2 As shown, it includes: Lunar exploration data acquisition module 201 is used to acquire lunar exploration data; the lunar exploration data includes: lunar surface topography and geomorphological features and lunar soil composition; The lunar surface simulation site construction module 202 is used to simulate polar illumination conditions and determine the layout of the lunar surface simulation site based on the lunar surface topography and geomorphology features. The lunar surface geology research simulation target construction module 203 is used to prepare lunar surface geology research simulation targets based on the lunar soil composition; wherein, the lunar surface geology research simulation targets are set on the lunar surface simulation site; The lunar-based Earth observation target construction module 204 is used to determine the layout of lunar-based Earth observation targets based on the location of the landing area of the lunar simulated site; wherein, the lunar-based Earth observation targets are used to simulate the Earth; the payload verification module 205 is used to verify the execution of the lunar exploration mission by multiple payloads based on the lunar simulated site layout, the lunar geological research simulation targets, the layout of lunar-based Earth observation targets, the lunar exploration mission, and the pre-constructed digital platform.
[0040] In another embodiment of this disclosure, the lunar surface simulation site construction module 202 is used to determine the basic lunar surface topography and landforms according to the lunar surface topography and landform features and a preset scaling ratio; wherein, the basic lunar surface topography and landforms include: lunar slope, hills, craters and meteorite impact craters. The walls and ceiling surfaces of the area where the lunar simulation site is located are treated with low albedo blackening, and projection technology is used on the walls to simulate the far-field visual effect of the lunar surface. The far-field visual effects of the lunar surface and the visual effects of the basic topography of the lunar surface are visually stitched together to determine the layout of the simulated lunar site.
[0041] In another embodiment of this disclosure, the lunar surface geological study simulation targets include: isolated rocks, rubble piles, luster zones, glass beads, bedrock, and layered rock structures.
[0042] In another embodiment of this disclosure, the lunar surface geology research simulation target construction module 203 is used to analyze the lunar soil composition and prepare specimens for the lunar surface geology research simulation target; Analyzing specimens from simulated lunar geological research targets yielded the first characteristics; these first characteristics include: rock features, mineral composition, chemical composition, and spectral characteristics. If the first feature meets the expected results, prepare a lunar geological research simulation target based on the specimen of the lunar geological research simulation target.
[0043] In another embodiment of this disclosure, the lunar-based Earth observation target construction module 204 is used to determine the diameter and position of the lunar-based Earth observation target based on the first distance from the lunar surface to the Earth's center of mass corresponding to the lunar exploration mission, the second distance from the landing area of the lunar simulated site to the lunar-based Earth observation target, and the Earth's diameter; wherein, the lunar-based Earth observation target is mounted on a hoisting mechanism with low albedo blackening treatment to adjust the position of the lunar-based Earth observation target and control the rotation of the lunar-based Earth observation target.
[0044] In another embodiment of this disclosure, the lunar-based Earth observation target construction module 204 is further configured to: construct the illumination conditions for observing the lunar-based Earth observation target using a solar simulation array, based on the location of the landing area of the lunar simulated site.
[0045] In another embodiment of this disclosure, the digital platform includes: environmental simulation parameters required for a lunar exploration mission; the environmental simulation parameters include at least one of the following: particles, fields, electromagnetic waves, detectors, and celestial bodies.
[0046] Through the above description of the embodiments, those skilled in the art can clearly understand that the embodiments of this disclosure can be implemented in hardware or by means of software plus necessary general-purpose hardware platforms. Based on this understanding, the technical solutions of the embodiments of this disclosure can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (such as a CD-ROM, USB flash drive, mobile hard drive, etc.) and includes several instructions to cause a computer device (such as a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments of this disclosure.
[0047] Those skilled in the art will understand that the accompanying drawings are merely schematic diagrams of a preferred embodiment, and the modules or processes in the drawings are not necessarily essential for implementing this disclosure.
[0048] Those skilled in the art will understand that the modules in the apparatus of the embodiments can be distributed in the apparatus of the embodiments as described in the embodiments, or they can be located in one or more devices different from this embodiment with corresponding changes. The modules of the above embodiments can be combined into one module, or they can be further divided into multiple sub-modules.
[0049] The sequence numbers of the embodiments disclosed above are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.
[0050] Obviously, those skilled in the art can make various modifications and variations to this disclosure without departing from its spirit and scope. Therefore, if such modifications and variations fall within the scope of the claims of this disclosure and their equivalents, this disclosure is also intended to include such modifications and variations.
Claims
1. A method for constructing a lunar exploration test site, characterized in that, include: Obtain lunar exploration data; The lunar exploration data includes: lunar surface topography and geomorphological features and lunar soil composition; Based on the lunar surface topography and geomorphological features, simulate polar illumination conditions and determine the layout of the lunar surface simulation site; Based on the lunar soil composition, a simulation target for lunar surface geological research is prepared; wherein, the simulation target for lunar surface geological research is set on a lunar surface simulation site; Based on the location of the landing area at the lunar surface simulation site, the layout of lunar-based Earth observation targets is determined; wherein, the lunar-based Earth observation targets are used to simulate Earth; Based on the lunar surface simulation site layout, the lunar surface geological research simulation targets, the lunar-based Earth observation target layout, the lunar exploration mission, and the pre-constructed digital platform, the execution of the lunar exploration mission by multiple payloads is verified.
2. The method as described in claim 1, characterized in that, The step of simulating polar illumination conditions and determining the layout of the lunar surface simulation site based on the lunar surface topography and geomorphological features includes: Based on the lunar surface topography and landform features, the basic lunar surface topography and landforms are determined according to a preset scaling ratio; wherein, the basic lunar surface topography and landforms include: lunar slope, hills, craters and meteorite impact craters; The walls and ceiling surfaces of the area where the lunar simulation site is located are treated with low albedo blackening, and projection technology is used on the walls to simulate the far-field visual effect of the lunar surface. The far-field visual effects of the lunar surface and the visual effects of the basic topography of the lunar surface are visually stitched together to determine the layout of the simulated lunar site.
3. The method as described in claim 1, characterized in that, The simulated targets for lunar geological studies include: isolated rocks, rubble piles, luminous areas, glass beads, bedrock, and layered rock structures.
4. The method as described in claim 1, characterized in that, The preparation of lunar surface geological research simulation targets based on the lunar soil composition includes: The composition of the lunar soil was analyzed to prepare specimens for simulating lunar surface geological research. Analyzing specimens from simulated lunar geological research targets yielded the first characteristics; these first characteristics include: rock features, mineral composition, chemical composition, and spectral characteristics. If the first feature meets the expected results, prepare a lunar geological research simulation target based on the specimen of the lunar geological research simulation target.
5. The method as described in claim 1, characterized in that, The step of determining the layout of lunar-based Earth observation targets based on the location of the landing area of the simulated lunar surface includes: Based on the first distance from the lunar surface to the Earth's center of mass corresponding to the lunar exploration mission, the second distance from the landing area of the lunar simulated site to the lunar-based Earth observation target, and the Earth's diameter, the diameter and position of the lunar-based Earth observation target are determined; wherein, the lunar-based Earth observation target is set on a hoisting mechanism with low albedo blackening treatment to adjust the position of the lunar-based Earth observation target and control the rotation of the lunar-based Earth observation target.
6. The method as described in claim 5, characterized in that, The step of determining the layout of lunar-based Earth observation targets based on the location of the landing area at the lunar surface simulation site also includes: Based on the location of the landing area of the lunar simulated site, a solar simulation array is used to construct the illumination conditions for observing lunar-based Earth observation targets.
7. The method as described in claim 1, characterized in that, The digital platform includes: environmental simulation parameters required for the lunar exploration mission; the environmental simulation parameters include at least one of the following: particles, fields, electromagnetic waves, detectors, and celestial bodies.
8. A system for constructing a lunar exploration test site, characterized in that, include: The lunar exploration data acquisition module is used to acquire lunar exploration data. The lunar exploration data includes: lunar surface topography and geomorphological features and lunar soil composition; The lunar surface simulation site construction module is used to simulate polar illumination conditions and determine the layout of the lunar surface simulation site based on the lunar surface topography and geomorphological features. The lunar surface geology research simulation target construction module is used to prepare lunar surface geology research simulation targets based on the lunar soil composition; wherein, the lunar surface geology research simulation targets are set on a lunar surface simulation site; The lunar-based Earth observation target construction module is used to determine the layout of lunar-based Earth observation targets based on the location of the landing area of the lunar surface simulation site; wherein, the lunar-based Earth observation targets are used to simulate the Earth; The payload verification module is used to verify the execution of the lunar exploration mission by multiple payloads based on the lunar surface simulation site layout, the lunar surface geological research simulation target, the lunar base Earth observation target layout, the lunar exploration mission, and the pre-constructed digital platform.
9. The system as described in claim 8, characterized in that, The lunar surface simulation site construction module is used to determine the basic lunar surface topography and landforms according to the lunar surface topography and landforms and a preset scaling ratio; wherein, the basic lunar surface topography and landforms include: lunar slope, hills, craters and meteorite impact craters; The walls and ceiling surfaces of the area where the lunar simulation site is located are treated with low albedo blackening, and projection technology is used on the walls to simulate the far-field visual effect of the lunar surface. The far-field visual effects of the lunar surface and the visual effects of the basic topography of the lunar surface are visually stitched together to determine the layout of the simulated lunar site.
10. The system as described in claim 8, characterized in that, The simulated targets for lunar geological studies include: isolated rocks, rubble piles, luminous areas, glass beads, bedrock, and layered rock structures.