Water body detection sampling method for environmental engineering

Abstract

The invention discloses a water body detection sampling method for environmental engineering, relates to the technical field of environmental engineering, and aims at solving the problem that in the prior art, in the aspect of water sample collection for a complex water area environment, it is difficult to comprehensively and accurately obtain representative water samples. Detailed geographic information, including water depth, water flow velocity, landform and aquatic plant distribution data, of a target water area is obtained, and appropriate sampling equipment and sampling instruments are selected according to the data; s2, deploying and positioning the sampling ship, transporting the automatic sampling ship to a proper launching point near a target water area, setting a driving route and sampling point coordinates of the sampling ship by importing a water area map and a global positioning system, monitoring the surrounding environment in real time in the driving process of the sampling ship, and according to image information fed back when the surrounding environment is monitored. The method has the advantages that the representativeness of the water sample is greatly improved, and the reliability of a subsequent water body detection result is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of environmental engineering, and more specifically, to a method for detecting and sampling water bodies in environmental engineering. Background Art

[0002] In environmental engineering, water body detection is crucial for evaluating water quality, monitoring the degree of water pollution, and ensuring water resource security. Currently, common methods for detecting and sampling water bodies include simple manual water sampling and sampling using conventional automatic samplers.

[0003] For manual water sampling, staff need to directly contact the water body, which has a high operation risk in some dangerous environments (such as areas containing toxic and harmful substances, areas with fast-flowing water), and the representativeness of the sampled water may be insufficient and is easily interfered by human factors. Although conventional automatic samplers can achieve a certain degree of automation, for complex water environments, such as river confluences, shallow beaches with lush waterweeds, problems such as inaccurate sampling positions and damage to sampling equipment due to entanglement are likely to occur, affecting the accuracy of sampling and the service life of the equipment.

[0004] Therefore, the existing technology has difficulties in comprehensively and accurately obtaining representative water samples for water sample collection in complex water environments, thus affecting the reliability of subsequent water body detection results. In view of this, we propose a method for detecting and sampling water bodies in environmental engineering. Summary of the Invention

[0005] The purpose of the present invention is to provide a method for detecting and sampling water bodies in environmental engineering, aiming to solve the problem that the existing technology has difficulties in comprehensively and accurately obtaining representative water samples for water sample collection in complex water environments.

[0006] To solve the above technical problems, the present invention provides the following technical solution: A method for detecting and sampling water bodies in environmental engineering, the method comprising the following steps:

[0007] S1: Preliminary preparation, obtaining detailed geographical information of the target water area, including water depth, water flow velocity, topography and waterweed distribution data, and selecting appropriate sampling equipment and sampling utensils according to these data;

[0008] S2: Deployment and positioning of the sampling boat, transporting the automatic sampling boat to a suitable launching point near the target water area, setting the traveling route and sampling point coordinates of the sampling boat by importing the water area map and the global positioning system, and during the traveling process of the sampling boat, monitoring the surrounding environment in real time, and automatically identifying and avoiding obstacles according to the image information feedback during the monitoring of the surrounding environment;

[0009] S3: Water sample collection. When the sampling boat arrives at the sampling point, according to the water depth information at this point, the sampling bottle is adjusted to the appropriate sampling depth using a sampling bottle fixing rack with adjustable depth. The multi-parameter water quality sampler starts to work, collecting water samples from different depth layers simultaneously. During the collection process, the sampler real-time monitors the temperature, pH value, and dissolved oxygen parameters of the water sample and transmits the data back to the monitoring station on the shore.

[0010] S4: Sample preservation and transportation. After collection, the sampling bottle is quickly sealed. The sampling boat returns to the shore along the preset route and transfers the collected water samples to the laboratory for subsequent testing and analysis as soon as possible. During transportation, special refrigeration equipment and buffer packaging are used to ensure the stability and integrity of the water sample.

[0011] Preferably, in the above step S1, a drone is used to carry a hyperspectral imager to conduct an aerial scan of the target water area to obtain hyperspectral image data. Through the analysis of these data, not only can the types and concentration distributions of pollutants in the water body be judged more accurately, but also potential pollution sources can be identified.

[0012] Preferably, in the above step S2, it also includes using underwater sonar detection technology to real-time detect the underwater terrain and obstacle conditions below and around the sampling boat within a certain range, which complements the image information.

[0013] Preferably, in the above step S3, when collecting water samples from different depths, an intelligent stratified sampling strategy is adopted. The multi-parameter water quality sampler automatically adjusts the collection volume and collection time interval of water samples at different depths according to the real-time monitored changes in water quality parameters.

[0014] Preferably, in the above step S4, before the sampling bottle is sealed, an appropriate amount of microcapsules containing microbial inhibitors and antioxidants are added to each sampling bottle. These microcapsules slowly release active ingredients in the water sample, inhibiting the growth and reproduction of microorganisms and chemical reactions in the water sample, and maintaining the chemical and biological stability of the water sample.

[0015] Preferably, in the above step S3, blockchain technology is used to encrypt and store and share the sampling data, and all data collected by the sampling equipment are real-time uploaded to the blockchain network.

[0016] Preferably, in the above step S2, when the sampling boat encounters bad weather or sudden abnormal water flow conditions, the emergency mode is automatically activated. In the emergency mode, the sampling boat automatically adjusts its traveling speed and route to ensure its own safety first.

[0017] Preferably, the microbial inhibitors in the microcapsules include sodium azide and copper sulfate, and the antioxidants include ascorbic acid and sodium metabisulfite.

[0018] Compared with the prior art, the beneficial effects of the present invention are:

[0019] 1. The present invention can accurately determine water pollutants and potential pollution sources by using a drone equipped with a hyperspectral imager to scan in the early stage, providing a scientific basis for determining the sampling points. The sampling ship uses underwater sonar detection technology and image information to complement each other, which can accurately avoid obstacles and reach the precise sampling location. The intelligent stratified sampling strategy automatically adjusts the collection volume and time interval according to changes in water quality parameters, and comprehensively collects water samples at different depths, which greatly improves the representativeness of water samples and ensures the reliability of subsequent water body detection results.

[0020] 2. The present invention sets up an emergency mode. When the sampling ship encounters bad weather or abnormal water flow, it can automatically start this mode to adjust the driving speed and route, give priority to its own safety, avoid the risk of manual sampling in dangerous environments, and reduce the possibility of damage to the automatic sampler under complex conditions, making the sampling process safer and more stable, and ensuring the smooth progress of the sampling work.

[0021] 3. In the present invention, microcapsules containing microbial inhibitors and antioxidants are added to the sampling bottle to inhibit the growth and reproduction of microorganisms and chemical reactions, maintain the chemical and biological stability of water samples, and effectively avoid changes in the composition of water samples during transportation and waiting for detection, ensuring that laboratory test results can truly reflect the water quality conditions at the time of sampling, thereby improving the accuracy of detection.

[0022] 4. The present invention utilizes blockchain technology to encrypt, store and share sampling data, and all sampling data are uploaded to the blockchain network in real time. On the one hand, encrypted storage ensures the security and non-tamperability of the data, prevents the data from being maliciously modified during storage and transmission, and ensures that the data is authentic and reliable. On the other hand, it facilitates data sharing between different departments and research institutions, improves the collaborative efficiency of environmental monitoring work, and provides more powerful data support for environmental engineering decision-making. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 Schematic diagram of the method flow in the present invention. DETAILED DESCRIPTION

[0024] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0025] Embodiment 1

[0026] like Figure 1As shown: When conducting water body detection and sampling at the confluence of rivers, a drone is used to carry a hyperspectral imager to conduct an aerial scan of the area. By combining the hyperspectral image data obtained with geographic information system data, the water depth, water flow velocity, and detailed topographical and morphological information of the area are determined. Based on these data, an automatic sampling boat equipped with a high-definition camera, an intelligent obstacle avoidance system, an underwater sonar detection device, and a multi-parameter water quality sampler is selected. At the same time, a sampling bottle fixing rack with adjustable depth and sampling bottles added with microbial inhibitors and antioxidant microcapsules are prepared.

[0027] The automatic sampling boat is transported to a suitable deployment point. By importing a high-precision water area map and a global positioning system, the driving route of the sampling boat and the coordinates of multiple sampling points are set. During the driving process, the high-definition camera and underwater sonar detection technology of the sampling boat work simultaneously to monitor the surrounding environment in real time, enabling the sampling boat to successfully avoid obstacles and reach the first sampling point.

[0028] After reaching the sampling point, according to the water depth information, the sampling bottles are adjusted to different depths below the water surface using the sampling bottle fixing rack with adjustable depth. The multi-parameter water quality sampler starts to work. According to the intelligent stratified sampling strategy, it automatically adjusts the sampling volume and sampling time interval of water samples at different depths according to the changes in water quality parameters monitored in real time. During the sampling process, the sampler monitors parameters such as the temperature, pH value, and dissolved oxygen of the water samples in real time and transmits the data back to the shore monitoring station.

[0029] After the sampling is completed, the sampling bottles are quickly sealed, and microcapsules containing sodium azide, copper sulfate, ascorbic acid, and sodium metabisulfite are added to the bottles. The sampling boat returns to the shore according to the preset route. During the transportation process, refrigeration equipment and buffer packaging are used. After returning to the laboratory, the water samples are subjected to detailed detection and analysis. By combining the sampling data stored on the blockchain, the water quality status of the river confluence is accurately evaluated, providing a reliable basis for subsequent pollution control.

[0030] Example Two

[0031] This example is basically the same as Example One, except that the area for water body detection and sampling is a shallow and lush waterweed area. A drone is used to carry a hyperspectral image to scan the area, and the water depth and topographical data obtained from on-site surveys are combined.

[0032] The sampling boat is transported to a nearby deployment point. The driving route and sampling points are set through the global positioning system and the water area map. During the driving process, the high-definition camera and underwater sonar detection technology of the sampling boat work together. When the sonar detects a dense waterweed area ahead, the camera clearly shows the distribution of waterweeds, guiding the sampling boat to avoid the dense waterweeds and successfully reach the sampling point.

[0033] After reaching the sampling point, the sampling bottle is adjusted to the bottom according to the water depth, and the multi-parameter water quality sampler starts to work. It adopts an intelligent stratified sampling strategy. Since the water quality in the shallow water area is relatively uniform, but considering the possible local differences, the sampler still fine-tunes the sampling volume and time interval according to the real-time monitored water quality parameters. During the sampling process, the sampler monitors in real time and transmits the data back to the monitoring station.

[0034] After the sampling is completed, the sampling bottle is sealed and microcapsules are added. The sampling boat returns to the shore. During transportation, a refrigeration device and buffer packaging are used to ensure the stability of the water sample. Back in the laboratory, the water sample is tested.

[0035] Embodiment III

[0036] This embodiment is basically the same as Embodiment I. The difference is that the water area for water body detection and sampling is the water area near the industrial pollution area. Hyperspectral image data is obtained by a drone carrying a hyperspectral imager, potential pollution sources are accurately identified, the approximate range of the polluted area is determined, and combined with geographic information, data such as the water depth and water flow velocity in this area are mastered. An automatic sampling boat equipped with a high-precision multi-parameter water quality sampler, an adjustable-depth sampling bottle fixing rack, a high-definition camera, an intelligent obstacle avoidance system, and an underwater sonar detection device is selected, and sampling equipment with targeted detection probes is prepared for detecting heavy metal ions and organic compounds.

[0037] The sampling boat is transported to a suitable dropping point, and the route and sampling points are set using the global positioning system and the water area map. During the driving process, the sampling boat relies on the high-definition camera and underwater sonar detection technology to monitor the surrounding environment in real time, and avoids floating objects on the river surface and underwater obstacles according to the feedback information, and successfully reaches the sampling point.

[0038] After reaching the sampling point, the depth of the sampling bottle is adjusted according to the water depth, and the multi-parameter water quality sampler starts the intelligent stratified sampling strategy, automatically adjusting the sampling volume and sampling time interval of water samples at different depths according to the real-time monitored water quality parameters. During the sampling process, the sampler transmits the data back to the shore monitoring station in real time and stores it encrypted using blockchain technology.

[0039] After the sampling is completed, the sampling bottle is sealed and microcapsules are added. The sampling boat returns to the shore. During transportation, the water sample is kept stable through a refrigeration device and buffer packaging. After returning to the laboratory, the detection equipment is used to accurately detect heavy metals and organic pollutants in the water sample. By analyzing the data stored on the blockchain and the laboratory test results, the pollution status of the water area near the industrial pollution area is clearly grasped.

[0040] The embodiments disclosed in the present invention are preferred embodiments, but not limited thereto. Those of ordinary skill in the art can easily understand the spirit of the present invention based on the above embodiments and make different extensions and changes. As long as they do not depart from the spirit of the present invention, they are within the protection scope of the present invention.

Claims

1. A method for sampling water for environmental engineering, characterized in that: The method comprises the following steps: S1: Preliminary preparation, obtain detailed geographical information of the target waters, including water depth, water flow speed, topography and distribution of aquatic plants, and select appropriate sampling equipment and sampling instruments based on these data; S2: Sampling ship deployment and positioning: transport the automatic sampling ship to a suitable drop point near the target waters, import the water map and global positioning system to set the sampling ship's route and sampling point coordinates. During the driving process, the sampling ship monitors the surrounding environment in real time and automatically identifies and avoids obstacles based on the image information fed back from monitoring the surrounding environment. S3: Water sampling. When the sampling boat arrives at the sampling point, the sampling bottle is adjusted to the appropriate sampling depth using the depth-adjustable sampling bottle holder according to the water depth information of the point. The multi-parameter water quality sampler starts working and collects water samples from different depth layers at the same time. During the collection process, the sampler monitors the temperature, pH, and dissolved oxygen parameters of the water sample in real time, and transmits the data back to the monitoring station on the shore. S4: Sample preservation and transportation. After collection, the sampling bottle is quickly sealed and the sampling boat returns to the shore along the preset route. The collected water samples are transferred to the laboratory as soon as possible for subsequent testing and analysis. During transportation, special refrigeration equipment and buffer packaging are used to ensure the stability and integrity of the water samples.

2. A method for detecting and sampling water for environmental engineering according to claim 1, characterized in that: In the above step S1, a drone equipped with a hyperspectral imager is used to perform a high-altitude scan of the target water area to obtain hyperspectral image data. By analyzing these data, not only can the types and concentration distribution of pollutants in the water body be determined more accurately, but also potential pollution sources can be identified.

3. A method for detecting and sampling water for environmental engineering according to claim 1, characterized in that: In the above step S2, it also includes real-time detection of underwater terrain and obstacles within a certain range below and around the sampling ship by underwater sonar detection technology to complement the image information.

4. The method for detecting and sampling water for environmental engineering according to claim 1, characterized in that: In the above step S3, when collecting water samples at different depths, an intelligent stratified sampling strategy is adopted, and the multi-parameter water quality sampler automatically adjusts the collection volume and collection time interval of water samples at different depths according to the changes in water quality parameters monitored in real time.

5. The method for detecting and sampling water for environmental engineering according to claim 1, characterized in that: In the above step S4, before the sampling bottle is sealed, an appropriate amount of microcapsules containing microbial inhibitors and antioxidants are added to each sampling bottle. These microcapsules slowly release active ingredients in the water sample, inhibit the growth and reproduction of microorganisms and chemical reactions in the water sample, and maintain the chemical and biological stability of the water sample.

6. A method for detecting and sampling water for environmental engineering according to claim 1, characterized in that: In the above step S3, the sampling data is encrypted, stored and shared using blockchain technology, and all data collected by the sampling equipment are uploaded to the blockchain network in real time.

7. The method for detecting and sampling water for environmental engineering according to claim 1, characterized in that: In the above step S2, when the sampling ship encounters bad weather or sudden abnormal water flow conditions, the emergency mode is automatically activated. In the emergency mode, the sampling ship automatically adjusts the driving speed and route to prioritize its own safety.

8. The method for detecting and sampling water for environmental engineering according to claim 5, characterized in that: The microbial inhibitors in the microcapsules include sodium azide and copper sulfate, and the antioxidants include ascorbic acid and sodium pyrosulfite.

Images