CN-121720611-B - Mars detector temperature monitoring method and system based on time control factor optimization

CN121720611BCN 121720611 BCN121720611 BCN 121720611BCN-121720611-B

Abstract

The invention belongs to the technical field of data processing, and discloses a temperature monitoring method and a temperature monitoring system of a Mars detector based on time control factor optimization, wherein the method comprises the steps of obtaining simulated fire soil, and performing screening treatment and compaction state preparation treatment to obtain a plurality of relatively compact state samples; the method comprises the steps of simulating temperature monitoring on a plurality of relatively compact state samples to obtain a plurality of temperature time curves, performing piecewise linear fitting to obtain thermal response characteristics of simulated fire soil, performing optimal monitoring period analysis and optimal monitoring duration analysis according to the thermal response characteristics to obtain an optimal passive monitoring time window and duration strategy, determining the target fire soil to be monitored, and performing real temperature monitoring on the target fire soil to be monitored according to the optimal passive monitoring time window and duration strategy to obtain an optimal temperature monitoring result. The invention can realize accurate monitoring of the temperature of the fire soil to be detected, thereby effectively improving the evaluation precision of the passing performance of the Mars and ensuring the running safety of the Mars.

Inventors

QI YINGCHUN
HAN XUEJIE
HUANG HESHU
ZOU MENG
JIN JINGFU
YU QINGYU
HE LIANBIN

Assignees

吉林大学

Dates

Publication Date: 20260508
Application Date: 20260226

Claims (9)

1. The spark detector temperature monitoring method based on time control factor optimization is characterized by comprising the following steps of: Obtaining simulated fire soil, and performing screening treatment and compact state preparation treatment on the simulated fire soil to obtain a plurality of relatively compact state samples; performing simulated temperature monitoring on a plurality of relatively compact state samples to obtain a plurality of temperature time curves, and performing piecewise linear fitting on the plurality of temperature time curves to obtain thermal response characteristics of the simulated fire soil; Performing optimal monitoring time period analysis and optimal monitoring time length analysis according to the thermal response characteristics to obtain an optimal passive monitoring time window and time length strategy; The method comprises the steps of carrying out optimal monitoring time period analysis and optimal monitoring time length analysis according to the thermal response characteristics to obtain an optimal passive monitoring time window and time length strategy, and specifically comprises the following steps: analyzing the influence of different monitoring initial time periods and different monitoring duration on the strength of the extracted temperature difference signal according to the thermal response characteristics to obtain an optimal passive monitoring time window and duration strategy; The optimal passive monitoring time window and duration strategy comprises a daytime optimal passive monitoring time window and duration strategy and a nighttime optimal passive monitoring time window and duration strategy; The daytime optimal passive monitoring time window and duration strategy is monitoring within 1 to 2 hours after sunrise and monitoring within 1 to 2 hours before sunset; The optimal night passive monitoring time window and duration strategy starts monitoring within 1 to 2 hours after the sunset, wherein the monitored duration is set to be a preset detection duration; and determining the target fire soil to be detected, and carrying out real temperature monitoring on the target fire soil to be detected according to the optimal passive monitoring time window and the duration strategy to obtain an optimal temperature monitoring result.
2. The time control factor optimization-based Mars detector temperature monitoring method according to claim 1, wherein the steps of obtaining simulated fire soil, and performing screening treatment and compaction state preparation treatment on the simulated fire soil to obtain a plurality of relatively compact state samples comprise: obtaining simulated fire soil, and performing primary screening treatment on the simulated fire soil by adopting a screen with preset mesh size to obtain first simulated fire soil; re-screening the first simulated fire soil by using a laser particle size analyzer to obtain a second simulated fire soil; performing compaction state preparation treatment on the second simulated fire soil by adopting a vibration compaction method to obtain a plurality of relatively compact state samples; wherein the relatively dense state sample comprises a fine particle fluffy sample, a fine particle dense sample, a coarse particle fluffy sample, and a coarse particle dense sample.
3. The time-controlled factor-optimized spark detector temperature monitoring method of claim 2, wherein said relative density calculation expression for said relatively dense state sample is: ; Wherein, the In order to achieve a relative degree of compactness, For a maximum dry bulk density, Is the dry loose density in the natural state, Is the minimum dry bulk density.
4. The time control factor optimization-based Mars detector temperature monitoring method according to claim 1, wherein the steps of performing simulated temperature monitoring on a plurality of relatively dense samples to obtain a plurality of temperature time curves, and performing piecewise linear fitting on a plurality of temperature time curves to obtain thermal response characteristics of the simulated fire soil comprise; setting a preset number of temperature sensor arrays in each relatively dense state sample, and carrying out temperature acquisition on each relatively dense state sample through the temperature sensor arrays at preset sampling time intervals to obtain a temperature time curve of temperature change along with time in each relatively dense state sample; and obtaining a temperature rise curve corresponding to the temperature rise stage and a temperature reduction curve corresponding to the temperature reduction stage of each relatively compact state sample according to the temperature time curve, and performing piecewise linear fitting on the temperature rise curve and the temperature reduction curve to obtain the thermal response characteristic of each relatively compact state sample.
5. The time-control-factor-optimization-based Mars detector temperature monitoring method according to claim 1, wherein the performing optimal monitoring period analysis and optimal monitoring duration analysis according to the thermal response characteristics obtains an optimal passive monitoring time window and duration strategy, and further comprising: And if the temperature monitoring time does not meet the optimal passive monitoring time window and duration strategy, setting an active heat radiation mode, and acquiring transient temperature response of the relatively compact sample in the heating and natural cooling processes through the active heat radiation mode.
6. The method for monitoring the temperature of the spark detector based on time control factor optimization according to claim 5, wherein the determining the target to-be-monitored fire soil and performing real temperature monitoring on the target to-be-monitored fire soil according to the optimal passive monitoring time window and duration policy to obtain an optimal temperature monitoring result specifically comprises: Determining target fire soil to be detected, acquiring the current position and the current sun time of the target fire soil to be detected, and judging whether the optimal passive monitoring time window and duration strategy are met according to the current position and the current sun time; If the daytime optimal passive monitoring time window and the time length strategy in the optimal passive monitoring time window and the time length strategy are met, real temperature monitoring is carried out on the target fire soil to be detected according to the daytime optimal passive monitoring time window and the time length strategy, and an optimal temperature monitoring result is obtained; If the night optimal passive monitoring time window and the time length strategy in the optimal passive monitoring time window and the time length strategy are met, real temperature monitoring is carried out on the target fire soil to be detected according to the night optimal passive monitoring time window and the time length strategy, and an optimal temperature monitoring result is obtained; And if the optimal passive monitoring time window and the time length strategy are not met, performing real temperature monitoring on the target fire soil to be detected by adopting the active heat radiation mode to obtain an optimal temperature monitoring result.
7. A time-controlled factor-optimized spark detector temperature monitoring system for implementing the time-controlled factor-optimized spark detector temperature monitoring method as set forth in any one of claims 1 to 6, the time-controlled factor-optimized spark detector temperature monitoring system comprising: The sample preparation module is used for obtaining simulated fire soil, and carrying out screening treatment and compaction state preparation treatment on the simulated fire soil to obtain a plurality of relatively compact state samples; The simulated temperature monitoring module is used for performing simulated temperature monitoring on a plurality of relatively compact state samples to obtain a plurality of temperature time curves, and performing piecewise linear fitting on the plurality of temperature time curves to obtain thermal response characteristics of the simulated fire soil; The optimal monitoring strategy generation module is used for carrying out optimal monitoring period analysis and optimal monitoring duration analysis according to the thermal response characteristics to obtain an optimal passive monitoring time window and a duration strategy; And the monitoring result output module is used for determining the target fire soil to be monitored, and carrying out real temperature monitoring on the target fire soil to be monitored according to the optimal passive monitoring time window and the time length strategy to obtain an optimal temperature monitoring result.
8. A terminal comprising a memory, a processor and a time-controlled factor optimized spark detector temperature monitoring program stored on the memory and operable on the processor, the time-controlled factor optimized spark detector temperature monitoring program when executed by the processor implementing the steps of the time-controlled factor optimized spark detector temperature monitoring method of any of claims 1-6.
9. A computer readable storage medium, characterized in that it stores a time-controlled factor optimized spark detector temperature monitoring program, which when executed by a processor, implements the steps of the time-controlled factor optimized spark detector temperature monitoring method according to any one of claims 1-6.

Description

Mars detector temperature monitoring method and system based on time control factor optimization Technical Field The invention relates to the technical field of data processing, in particular to a temperature monitoring method, a temperature monitoring system, a temperature monitoring terminal and a computer readable storage medium for a Mars detector based on time control factor optimization. Background Along with the continuous promotion of human deep space exploration, mars become one of the most valuable planets for exploration due to the similar circadian cycle and geological structure of Mars and the surface environment characteristics of Mars have key influence on the safe movement and scientific operation of the detector. In the spark detection task, the trafficability evaluation is a core technical link for ensuring that the spark detection vehicle can safely and efficiently pass through complex terrains. Thermal inertia is a key parameter representing the thermophysical properties of soil, reflecting the response capability of soil to temperature changes. The thermal inertia is closely related to the mechanical characteristics of the fire soil, the thermal inertia characteristics of the fire soil can be inverted through systematic research on the temperature change rule of the fire soil, and further the physical mechanical properties of the fire soil are obtained, and the mechanical properties of the fire soil are key to the trafficability of the Mars inspection device. Since the calculation of thermal inertia requires temperature data within a certain time, and the temperature data has a significant influence on the calculation result, accurate acquisition of the temperature data is of great importance. In the prior art, the temperature of the Mars soil is mainly monitored by two modes of orbit remote sensing observation and in-situ temperature monitoring, but the two modes are mainly based on a fixed time window, and the influence of the day and night period of the Mars, the dynamic change of solar radiation and the fluctuation of atmospheric transmissivity on thermal response is not fully considered, so that the accuracy of the temperature monitoring data of the Mars soil is low, and the calculation of thermal inertia and the driving safety of a Mars vehicle are influenced. Accordingly, the prior art is still in need of improvement and development. Disclosure of Invention The invention mainly aims to provide a temperature monitoring method, a temperature monitoring system, a temperature monitoring terminal and a computer readable storage medium of a Mars detector based on time control factor optimization, and aims to solve the problems that in the prior art, temperature monitoring is carried out on Mars soil based on a fixed time window in a mode of track remote sensing observation and in-situ temperature monitoring, and the influence of the day and night period of Mars, the dynamic change of solar radiation and the fluctuation of atmospheric transmittance on thermal response is not fully considered, so that the accuracy of temperature monitoring data is low, and the calculation of thermal inertia and the driving safety of Mars are influenced. In order to achieve the above object, the present invention provides a temperature monitoring method for a spark detector based on time control factor optimization, the temperature monitoring method for a spark detector based on time control factor optimization comprising the steps of: Obtaining simulated fire soil, and performing screening treatment and compact state preparation treatment on the simulated fire soil to obtain a plurality of relatively compact state samples; performing simulated temperature monitoring on a plurality of relatively compact state samples to obtain a plurality of temperature time curves, and performing piecewise linear fitting on the plurality of temperature time curves to obtain thermal response characteristics of the simulated fire soil; Performing optimal monitoring time period analysis and optimal monitoring time length analysis according to the thermal response characteristics to obtain an optimal passive monitoring time window and time length strategy; and determining the target fire soil to be detected, and carrying out real temperature monitoring on the target fire soil to be detected according to the optimal passive monitoring time window and the duration strategy to obtain an optimal temperature monitoring result. Optionally, in the method for monitoring temperature of the spark detector based on time control factor optimization, the step of obtaining simulated fire soil, and performing screening treatment and compaction state preparation treatment on the simulated fire soil to obtain a plurality of samples in a relatively compact state specifically includes: obtaining simulated fire soil, and performing primary screening treatment on the simulated fire soil by adopting a screen with preset mesh size to obtain first