Device for monitoring glacier surface height change by using delayed photography
Through the time-lapse photography monitoring device, the color stripes of the time-lapse camera and benchmarks are used, combined with image analysis technology, the data error and high cost problems of the existing glacier surface height monitoring methods are solved, and accurate monitoring of glacier surface height changes and distinguishing causes is achieved.
Patent Information
- Application Number
- CN202421779631.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Utility models(China)
- Current Assignee / Owner
- Filing Date
- 2024-07-26
- Publication Date
- 2025-04-25
- Estimated Expiration
- 2034-07-26
AI Technical Summary
The existing glacier surface height monitoring methods have data errors, are prone to damage to the instrument, are costly, and are difficult to distinguish height changes caused by wind blowing and snowfall.
Time-lapse photography monitoring device is used, including a benchmark, a support rod, a time-lapse camera and a bracket. The image is captured every hour by the time-lapse camera, and the color stripes and image analysis technology of the benchmark are used to calculate the height changes in the glacier surface.
It realizes economical and portable glacier surface height change monitoring, obtains accurate data, and can distinguish the impact of wind blowing and snowfall.
Smart Images
Figure CN222800011U_ABST
Abstract
Description
Technical Field
[0001] The utility model provides a device for monitoring the height change of the glacier surface by using time-lapse photography, belonging to the technical field of environmental monitoring. Background Art
[0002] Glacier meltwater is an important freshwater resource and an important water guarantee for the economic and social development of Northwest my country. When the glacier melts, the surface decreases, and when the glacier accumulates, the surface increases. By monitoring the changes in the glacier surface height, we can understand the change process of glacier materials and its relationship with climate conditions, and provide a theoretical basis for water resource management. At present, there are the following commonly used monitoring methods: 1. Manual monitoring. Insert a measuring rod into the glacier surface and measure the height of the measuring rod manually. 2. Use ultrasonic and laser ranging principles to monitor the changes in the glacier surface height. The data obtained by the manual method is accurate and reliable, but due to the extremely harsh environment on the glacier, it is difficult for the manual method to obtain data with high time resolution. The instruments used in the ultrasonic and laser ranging methods are expensive, which increases the monitoring cost. At the same time, the tilt of the instrument during the accumulation and melting of the glacier easily increases the data error and even damages the instrument. In addition, the materials required during the installation of these instruments, such as brackets and batteries, are heavy, which increases the difficulty of transportation and maintenance. More importantly, although the above methods can obtain data on changes in snow surface height, they cannot know the reasons for the changes in snow surface height. For example, windblown snow and snowfall can both cause the snow surface to rise, and these methods cannot distinguish between the two reasons. Therefore, a method that is affordable, portable, and capable of obtaining accurate snow surface height change data is urgently needed. Utility Model Content
[0003] The utility model aims to provide a device for monitoring the height change of the glacier surface by using time-lapse photography, so as to obtain the height change data of the glacier surface.
[0004] The technical solution adopted by the utility model is as follows:
[0005] A device for monitoring changes in the height of a glacier surface using time-lapse photography includes a benchmark, a support pole, a time-lapse camera, and a bracket.
[0006] The pole is cylindrical in shape. The pole body is printed with two-color stripes, which are arranged at intervals and each stripe is 5 cm long.
[0007] The bracket includes a first bracket rod and a second bracket rod, which are hinged to adjust the angle between them; a mounting hole is provided at the front end of the first bracket rod to fix the time-lapse camera; a round tube is fixed at the rear end of the second bracket rod, and a taper hole is opened on the round tube for fixed connection with the support rod.
[0008] The benchmark is arranged in front of the time-lapse camera lens.
[0009] The method for monitoring the change of glacier surface height by using time-lapse photography includes the following steps:
[0010] The time-lapse camera is set to take a picture once every hour. The angle of the bracket is adjusted according to the distance between the benchmark and the support rod to ensure that the benchmark is within the shooting range of the time-lapse camera during the observation period.
[0011] After acquiring images during the monitoring period, the glacier surface height change data were obtained through image analysis.
[0012] (1) Calculate the pixel value of the length of the pole in the image. Since the surface of the glacier is snow or ice, the color is very different from that of the pole stripes. The image is binarized using the color difference to extract the outline of the pole. The pixel value of the outline length is L1.
[0013] (2) Calculate the relationship between the length of the benchmark L and L1. Select an appropriate amount of image of the glacier surface at the junction of the two color stripes in the benchmark. Calculate the length of the benchmark L2 based on the benchmark stripe data N in the image and the length of each stripe (5cm), L2 = 5*N. The pixel value of the benchmark contour length in the above selected image is L3. Calculate the linear relationship between L3 and L2. It can be concluded that L2 = a×L3+b.
[0014] (3) Calculate the length L of the pole in all images. L = a × L1 + b.
[0015] (4) Calculate the surface height change based on L. The time-lapse camera is set to take pictures once every hour, and the lengths of the poles are L0, L1, L2, L3, L4, L5, etc. in chronological order. Assuming that the surface height of the glacier is 0 at the initial shooting, the surface height during the entire monitoring period is L0-L 0, L0-L1, L0-L2, L0-L3, L0-L4, L0-L5, ... When the data decreases, it means that the surface height decreases, and when the data increases, it means that the surface height decreases.
[0016] The utility model is economical, practical, and easy to carry, and can be used to obtain data on changes in the height of the glacier surface. BRIEF DESCRIPTION OF THE DRAWINGS
[0017] Figure 1 It is a schematic diagram of the benchmark structure of the utility model;
[0018] Figure 2 This is a schematic diagram of the support rod structure of the utility model;
[0019] Figure 3 This is a schematic diagram of the support structure of the utility model;
[0020] Figure 4This is a schematic diagram of on-site installation of the device of the utility model;
[0021] Figure 5 It is a binary schematic diagram of an embodiment;
[0022] Figure 6 Schematic diagram of photos selected for calculating the relationship between the pole lengths L and L1 in the embodiment. DETAILED DESCRIPTION
[0023] A device for monitoring the height change of a glacier surface by using time-lapse photography comprises a benchmark 1, a support rod 2, a time-lapse camera 3, and a bracket 4.
[0024] like Figure 1 As shown, the pole 1 is cylindrical in shape. Two color stripes are printed on it. The two color stripes are arranged alternately. The length of each stripe is 5 cm. It can be made of hard and light materials such as aluminum alloy. Figure 2 As shown, the support rod 2 is cylindrical in shape and can be made of hard materials such as aluminum alloy or stainless steel.
[0025] like Figure 3 As shown, the bracket 4 includes a first bracket rod 41 and a second bracket rod 42, which are hinged to adjust the angle between them; the front end of the first bracket rod 41 is provided with a mounting hole for fixing the time-lapse camera 3. The rear end of the second bracket rod 42 is fixed with a round tube, and the round tube is provided with a taper hole for fixed connection with the support rod 2.
[0026] The time-lapse camera 3 is fixed on the first support rod 41 , and the second support rod 42 is fixed on the support frame 2 by screwing into the taper hole of the second support rod 42 .
[0027] The time-lapse camera 3 is powered by a low-temperature resistant battery, or by a low-temperature resistant battery and a solar panel.
[0028] The method for monitoring the change of glacier surface height by using time-lapse photography includes the following steps:
[0029] On-site use Figure 4 As shown, the time-lapse camera 3 is set to take a picture once every hour. The angle of the bracket 4 is adjusted according to the distance between the benchmark 1 and the support rod 2 to ensure that the benchmark 1 is within the shooting range of the time-lapse camera 3 during the observation period.
[0030] After acquiring images during the monitoring period, the glacier surface height change data can be obtained through image analysis.
[0031] (1) Calculate the pixel value of the length of the pole 1 in the image. Since the surface of the glacier is snow or ice, the color is very different from the stripes of the pole 1. The image is binarized using the color difference between the two to extract the outline of the pole 1. The pixel value of the outline length is L1. See the schematic diagram Figure 5 .
[0032] (2) Calculate the relationship between the length L of the pole 1 and L1. Figure 6 As shown, select an appropriate amount of the image of the glacier surface at the junction of the two color stripes in the benchmark 1. Calculate the length L2 of the benchmark 1 according to the stripe data N of the benchmark 1 in the image and the length of each stripe (5cm). The pixel value of the contour length of the benchmark 1 in the above selected image is L3. Calculate the linear relationship between L1 and L2. It can be concluded that L2 = a × L1 + b.
[0033] (3) Calculate the length L of the pole 1 in all images. L = a × L1 + b
[0034] (4) Calculate the surface height change based on L. The time-lapse camera 3 is set to take pictures once every hour, and the lengths of the poles are L0, L1, L2, L3, L4, L5, etc. in chronological order. Assuming that the surface height of the glacier is 0 at the initial shooting, the surface height during the entire monitoring period is L0-L 0, L0-L1, L0-L2, L0-L3, L0-L4, L0-L5, ... When the data decreases, it means that the surface height decreases, and when the data increases, it means that the surface height decreases.
Claims
1. A device for monitoring the change of glacier surface height using time-lapse photography, characterized in that: It includes a benchmark (1), a support rod (2), a time-lapse camera (3), and a bracket (4); The pole (1) is cylindrical in shape; the pole body is printed with two color stripes, the two color stripes are arranged alternately, and the length of each stripe is 5 cm; The support (4) comprises a first support rod (41) and a second support rod (42), wherein the first support rod (41) and the second support rod (42) are hinged to adjust the angle between the first support rod (41) and the second support rod (42); a mounting hole is provided at the front end of the first support rod (41) to fix the time-lapse camera (3); a round tube is fixed at the rear end of the second support rod (42), and a taper hole is provided on the round tube to be fixedly connected to the support rod (2); The benchmark (1) is arranged in front of the lens of the time-lapse camera (3).