CN114062623A - Dynamic sampling method for underground pipe network - Google Patents
Dynamic sampling method for underground pipe network Download PDFInfo
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/18—Water
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N1/00—Sampling; Preparing specimens for investigation
- G01N1/02—Devices for withdrawing samples
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N1/00—Sampling; Preparing specimens for investigation
- G01N1/02—Devices for withdrawing samples
- G01N1/10—Devices for withdrawing samples in the liquid or fluent state
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N1/00—Sampling; Preparing specimens for investigation
- G01N1/02—Devices for withdrawing samples
- G01N2001/021—Correlating sampling sites with geographical information, e.g. GPS
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- G—PHYSICS
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- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N1/00—Sampling; Preparing specimens for investigation
- G01N1/02—Devices for withdrawing samples
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- G01N2001/1031—Sampling from special places
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- G—PHYSICS
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- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N1/00—Sampling; Preparing specimens for investigation
- G01N1/02—Devices for withdrawing samples
- G01N1/10—Devices for withdrawing samples in the liquid or fluent state
- G01N1/14—Suction devices, e.g. pumps; Ejector devices
- G01N2001/1418—Depression, aspiration
Abstract
The invention discloses a dynamic sampling method for an underground pipe network, which comprises the following steps: s1, putting an intelligent sampling container at a certain node of the underground pipe network according to sampling requirements, and dynamically moving the intelligent sampling container in the underground pipe network in a drifting manner; s2, triggering the intelligent sampling container to sample the water quality in the underground pipe network according to one of time, displacement or pipe network nodes by the intelligent sampling container; and S3, fishing the intelligent sampling container at the corresponding node after the water quality sampling is finished. The invention relates to a dynamic sampling method for an underground pipe network, which samples in the underground pipe network in a drifting manner, puts an intelligent sampling container from a certain node at a certain pipe network node according to a sampling requirement, triggers the intelligent sampling container to sample when the intelligent sampling container reaches a preset position according to the pre-designed time, displacement or pipe network node, and triggers the intelligent sampling container to drift to a corresponding node of a main pipe and salvage after the sampling is finished.
Description
Technical Field
The invention relates to the field of underground pipe network water quality sampling, in particular to a dynamic sampling method for an underground pipe network.
Background
With the development of economic society and the improvement of the living standard of people, the problems of water resource shortage, water pollution and the like are more and more prominent, and the problems become important factors for restricting the development of the economic society. Aiming at the complex situation of the water environment in China, scientific and accurate monitoring data must be adopted for supporting the current water environment quality. The construction of an advanced environment monitoring technology system is a strategic requirement for strengthening environment law enforcement and implementing environment-friendly planning, is an important component of governments fulfilling environmental protection functions and developing environment management work, and is an important basis for monitoring environmental condition changes, checking the environmental protection work effect and implementing environment quality supervision. In recent years, the national hydrological system strengthens the water quantity and water quality monitoring of surface water and underground water, strengthens the work of water resource evaluation, analysis and demonstration and the like, provides a large amount of information for water resource management and protection, plays an important technical support role and makes important contribution. Especially, in underground water monitoring, the underground pipe network has a plurality of merging nodes, so that the flow direction of the pipeline is complicated, and uncertain factors are brought to detection. At present, the conventional collection and measurement mode hardly indicates that the sources and the concentrations of certain characteristic pollutants are clear, and causes troubles for pollution cause analysis and accurate symptomatic treatment.
Because underground pipe network has many confluent nodes, criss-cross pipelines, various enterprise discharge characteristics and complex pollutant components, in order to say clearly the pollution source, the dynamic state and the going direction in the pipe network, the water samples of a plurality of pipe network nodes need to be synchronously collected for detection, and even the sewage discharge dynamic state and the sewage discharge rule in the pipe network can be found out by synchronously sampling for a plurality of times at different time intervals. With present manual sampling's mode, a set of sampling personnel all need to be arranged at every sampling point, and sampling personnel just need consume a large amount of time in links such as rivers flow direction of pipe network are confirmed, sampling well addressing and position are confirmed, have the human input big, the sampling inefficiency scheduling problem. Toxic and harmful gas may exist in the sampling inspection well, and part of sampling point positions need to be sampled in a well, so that personal safety risk is brought to sampling personnel.
Disclosure of Invention
The invention provides a dynamic sampling method for an underground pipe network, which aims to solve the technical problems that the underground pipe network is difficult to sample water quality and cannot accurately analyze the accurate direction of pollutants and the source of the pollutants.
The technical scheme adopted by the invention is as follows:
a dynamic sampling method for an underground pipe network comprises the following steps:
s1, putting an intelligent sampling container at a certain node of the underground pipe network according to sampling requirements, and dynamically moving the intelligent sampling container in the underground pipe network in a drifting manner;
s2, triggering the intelligent sampling container to sample the water quality in the underground pipe network according to one of time, displacement or pipe network nodes by the intelligent sampling container;
and S3, fishing the intelligent sampling container at the corresponding node after the water quality sampling is finished.
Further, the intelligent sampling container carries out water quality sampling according to time and comprises the following steps: putting N intelligent sampling containers at a certain node of an underground pipe network, wherein the water quality sampling time of the 1 st intelligent sampling container is amin, the water quality sampling time of the 2 nd intelligent sampling container is bmin, the water quality sampling time of the 3 rd intelligent sampling container is cmin and … …, and the water quality sampling time of the Nth intelligent sampling container is nmin, and completing the water quality sampling of all the intelligent sampling containers.
Furthermore, the water quality sampling interval time between two adjacent groups is the same, and the interval time is more than 0 or equal to 0; or the water quality sampling interval time between two adjacent groups is different, and the interval time is more than 0.
Further, the intelligent sampling container carries out water quality sampling according to displacement and comprises the following steps: putting N intelligent sampling containers at a certain node of an underground pipe network, wherein the drifting displacement of the 1 st intelligent sampling container is xm, the drifting displacement of the 2 nd intelligent sampling container is ym, the drifting displacement of the 3 rd intelligent sampling container is zm and … …, and the drifting displacement of the Nth intelligent sampling container is nm, so that the water quality sampling of all the intelligent sampling containers is completed.
Further, the determination of the intelligent sampling container according to the pipe network node comprises the following steps: put in N intelligent sampling container at certain node of underground pipe network, when the displacement that 1 st intelligent sampling container drifted to xm, detect whether the change of the velocity of flow and the direction of 1 st intelligent sampling container surpassed preset threshold, surpassed after presetting the threshold, continued drifting one section preset distance, carry out the quality of water sampling again, do not surpass preset threshold then 1 st intelligent sampling container continues drifting, is direct the change of the velocity of flow and the direction of 1 st intelligent sampling container surpasss preset threshold, continues drifting one section preset distance, carries out the quality of water sampling again, nevertheless exceeds (x + x) when 1 st intelligent sampling container drift displacement1) When m is reached, the water quality sampling is not carried out when the 1 st intelligent sampling container drifts; when the drift of the 2 nd intelligent sampling container is shifted to ym, whether the change of the flow speed and the direction of the 2 nd intelligent sampling container exceeds a preset threshold value or not is detected, after the change of the flow speed and the direction of the 2 nd intelligent sampling container exceeds the preset threshold value, the drift is continued for a section of preset distance, then the water quality sampling is carried out, and the change of the flow speed and the direction of the 2 nd intelligent sampling container does not exceed the preset threshold value, so that the drift is continued for a section of preset distance, then the water quality sampling is carried out, but the drift of the 2 nd intelligent sampling container exceeds (y + y)1) During m, the drift of 2 nd intelligent sampling container is not carried out quality of water sampling, … …, when the drift of Nth intelligent sampling container drifts shift to nm, detects whether the change of velocity of flow and direction of Nth intelligent sampling container surpasss preset threshold value, surpasss after presetting the threshold value, continues drifting one section and predetermines the distance, carries out quality of water sampling again, does not surpass and predetermine the threshold value then N intelligent sampling container continues drifting, is direct the change of velocity of flow and direction of Nth intelligent sampling container surpasss preset threshold value, continues drifting one section and predetermines the distance, carries out quality of water sampling again, nevertheless drifts the displacement when N intelligent sampling container surpasss (N + N)1) And m, the Nth intelligent sampling container drifts, and water quality sampling is not performed, so that water quality sampling of all the intelligent sampling containers is completed.
Further, the displacement of the interval between two adjacent groups is the same, and the interval displacement is more than 0 or equal to 0; alternatively, the displacement of the interval between two adjacent groups is different, and the interval displacement is more than 0.
Further, the determination of the drift displacement of the intelligent sampling container comprises the following steps: measuring the water flow speed at a certain node of the underground pipe network, and taking the water flow speed as the initial speed of the intelligent sampling container; the intelligent sampling container is provided with a detection device, and the detection device can sense the advancing speed and the advancing time of the intelligent sampling container, so that the drifting displacement of the intelligent sampling container is determined.
Furthermore, intelligence sampling container is equipped with and is used for guaranteeing the intelligent sampling container advancing direction in order to realize the rivers guider of water sample entering in the intelligent sampling container.
Further, the intelligent sampling container comprises a sampling bottle; the sampling bottle comprises a bottle cap and a bottle body, the bottle cap and the bottle body are integrally designed or separately designed, a water inlet pipeline is arranged on the bottle cap, a valve is arranged on the water inlet pipeline, the valve is electrically connected with a control module, the control module is used for controlling the state of the valve, and the control module is electrically connected with a detection device; when the sampling bottle reaches one of the preset time, the preset displacement or the preset pipe network node, the control module triggers the valve to be opened, the water sample enters the sampling bottle through the valve, and after sampling is stopped, the control module triggers the valve to be closed to finish water quality sampling.
Furthermore, the sampling bottle is also provided with a storage module and a plurality of environment perception sensors, the environment perception sensors are used for detecting relevant parameters of the surrounding water environment, and the storage module is used for storing the relevant parameters detected by the environment perception sensors.
Further, the environmental perception sensor includes at least one of a pressure sensor, a compass sensor, a gyroscope sensor, a temperature sensor, a conductivity sensor, a pH sensor, an ORP sensor, a dissolved oxygen sensor, a turbidity sensor, a microphone, and a video capture device.
Further, still include: salvage intelligent sampling container, accomplish dynamic sampling for the first time, detect the water sample of gathering, the pollution degree in certain region of analysis carries out dynamic sampling for the second time again to this region to accurate analysis pollution degree and pollutant source.
The invention has the following beneficial effects:
the underground pipe network dynamic sampling method provided by the invention samples in the underground pipe network in a drifting manner, a sampling person puts an intelligent sampling container from a certain node at a certain pipe network node according to a sampling requirement, the intelligent sampling container triggers the intelligent sampling container to sample according to the pre-designed time, displacement or pipe network node, and after the sampling is finished, the intelligent sampling container is triggered to drift to a corresponding node of a main pipe and salvage. Sampling is carried out by adopting a drifting mode in the underground pipe network, the flow direction and the nodes of the underground pipe network can be accurately identified, and the sampling representativeness is improved. And moreover, sampling sites can be flexibly set according to monitoring requirements, the application range is wide, and decision support is provided for pollution source analysis and accurate pollution treatment of the underground pipe network.
In addition to the objects, features and advantages described above, other objects, features and advantages of the present invention are also provided. The present invention will be described in further detail below with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the invention and, together with the description, serve to explain the invention and not to limit the invention. In the drawings:
FIG. 1 is a schematic flow chart of water quality sampling according to time by using a preferred intelligent sampling container of the present invention;
FIG. 2 is a schematic flow chart of water quality sampling performed by the intelligent sampling container according to the pipe network nodes; and
FIG. 3 is a block diagram of a preferred sample bottle of the present invention.
The reference numbers illustrate:
1. a sampling bottle; 11. a bottle cap; 12. a bottle body; 13. a water inlet pipeline; 14. a valve; 15. a storage module; 16. an environmental perception sensor; 17. an air outlet pipeline; 2. a detection device; 3. a water flow guide; 4. and a control module.
Detailed Description
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present invention will be described in detail below with reference to the embodiments with reference to the attached drawings.
FIG. 1 is a schematic flow chart of water quality sampling according to time by using a preferred intelligent sampling container of the present invention; FIG. 2 is a schematic flow chart of water quality sampling performed by the intelligent sampling container according to the pipe network nodes; FIG. 3 is a block diagram of a preferred sample bottle of the present invention.
The underground pipe network dynamic sampling method of the embodiment comprises the following steps:
s1, putting an intelligent sampling container at a certain node of the underground pipe network according to sampling requirements, and dynamically moving the intelligent sampling container in the underground pipe network in a drifting manner;
s2, triggering the intelligent sampling container to sample water quality in the underground pipe network according to time, displacement or the pipe network node;
and S3, fishing the intelligent sampling container at the corresponding node after the water quality sampling is finished.
The underground pipe network dynamic sampling method provided by the invention samples in the underground pipe network in a drifting manner, a sampling person puts an intelligent sampling container from a certain node at a certain pipe network node according to a sampling requirement, the intelligent sampling container triggers the intelligent sampling container to sample according to the pre-designed time, displacement or pipe network node, and after the sampling is finished, the intelligent sampling container is triggered to drift to a corresponding node of a main pipe and salvage. Sampling is carried out by adopting a drifting mode in the underground pipe network, the flow direction and the nodes of the underground pipe network can be accurately identified, and the sampling representativeness is improved. And moreover, sampling sites can be flexibly set according to monitoring requirements, the application range is wide, and decision support is provided for pollution source analysis and accurate pollution treatment of the underground pipe network.
As shown in fig. 1, in this embodiment, the intelligent sampling container performs water quality sampling according to time, and includes the following steps: putting N intelligent sampling containers at a certain node of an underground pipe network, wherein the water quality sampling time of the 1 st intelligent sampling container is amin, the water quality sampling time of the 2 nd intelligent sampling container is bmin, the water quality sampling time of the 3 rd intelligent sampling container is cmin and … …, and the water quality sampling time of the Nth intelligent sampling container is nmin, and completing the water quality sampling of all the intelligent sampling containers. It can be understood, intelligence sampling container is sampling bottle 1, and be equipped with control module 4 electric connection's time-recorder, predesign sampling bottle 1 in underground pipe network water sampling time, when putting sampling bottle 1 at a certain node of underground pipe network, the countdown is seted up to the time-recorder, after the time-recorder countdown finishes, the time-recorder signals of telecommunication to control module 4, control module 4 triggers valve 14 and opens, the water sample passes through water inlet pipe 13 and gets into in sampling bottle 1, after stopping the sampling, control module 4 triggers valve 14 and closes, accomplish the water sampling.
Preferably, the interval time of water quality sampling between two adjacent groups is the same, and the interval time is more than 0 or equal to 0; or the water quality sampling interval time between two adjacent groups is different, and the interval time is more than 0. The same water sampling interval time between the two adjacent groups can be understood as 5, 10, 15, 20, … … and n, the water sampling interval time between the two adjacent groups is 5, or 5, 20, 50, 70, … … and n, and the water sampling interval time between the two adjacent groups is different, so that sampling can be performed at different positions of the underground pipe network. And may be 5, 10, 20, … …, n. In addition, a, b, … …, n may be the same, for example, 60, to realize multiple sampling at the same or close positions, thereby ensuring the accuracy of detection to avoid randomness or nowhere.
In this embodiment, the intelligent sampling container carries out water sampling according to the displacement and includes the following steps: putting N intelligent sampling containers at a certain node of an underground pipe network, wherein the drifting displacement of the 1 st intelligent sampling container is xm, the drifting displacement of the 2 nd intelligent sampling container is ym, the drifting displacement of the 3 rd intelligent sampling container is zm and … …, and the drifting displacement of the Nth intelligent sampling container is nm, so that the water quality sampling of all the intelligent sampling containers is completed. The intelligent sampling container samples water quality according to displacement, can realize water quality sampling at different positions, and can also sample for multiple times at the same position. It can be understood that intelligence sampling container is sampling bottle 1, predesigns sampling bottle 1 at the drift's of underground pipe network displacement, when putting in sampling bottle 1 at a certain node of underground pipe network, begins to calculate the displacement, after reaching the position of predetermineeing the displacement, control module 4 triggers valve 14 and opens, and in water sample passed through water intake pipe 13 and got into sampling bottle 1, stopped the sampling after, control module 4 triggered valve 14 closed, the completion water sampling.
As shown in fig. 2, in this embodiment, the determining of the intelligent sampling container according to the pipe network node includes the following steps:
the determination of the intelligent sampling container according to the pipe network nodes comprises the following steps: put in N intelligent sampling container at certain node of underground pipe network, when the displacement that 1 st intelligent sampling container drifted to xm, detect whether the change of the velocity of flow and the direction of 1 st intelligent sampling container surpassed preset threshold, surpassed after presetting the threshold, continued drifting one section preset distance, carry out the quality of water sampling again, do not surpass preset threshold then 1 st intelligent sampling container continues drifting, is direct the change of the velocity of flow and the direction of 1 st intelligent sampling container surpasss preset threshold, continues drifting one section preset distance, carries out the quality of water sampling again, nevertheless exceeds (x + x) when 1 st intelligent sampling container drift displacement1) When m is reached, the water quality sampling is not carried out when the 1 st intelligent sampling container drifts; when the drift of the 2 nd intelligent sampling container is shifted to ym, whether the change of the flow speed and the direction of the 2 nd intelligent sampling container exceeds a preset threshold value or not is detected, after the change of the flow speed and the direction of the 2 nd intelligent sampling container exceeds the preset threshold value, the drift is continued for a section of preset distance, then the water quality sampling is carried out, and the change of the flow speed and the direction of the 2 nd intelligent sampling container does not exceed the preset threshold value, so that the drift is continued for a section of preset distance, then the water quality sampling is carried out, but the drift of the 2 nd intelligent sampling container exceeds (y + y)1) m, when the drift of the 2 nd intelligent sampling container does not carry out water quality sampling, … … and the drift of the Nth intelligent sampling container shifts to nm, the change of the flow speed and the direction of the Nth intelligent sampling container is detectedIf not, continuously drifting for a preset distance after exceeding the preset threshold value, then sampling water quality, if not, continuously drifting by the Nth intelligent sampling container until the change of the flow speed and the direction of the Nth intelligent sampling container exceeds the preset threshold value, continuously drifting for a preset distance, then sampling water quality, and if the drifting displacement of the Nth intelligent sampling container exceeds (N + N)1) And m, the Nth intelligent sampling container drifts, and water quality sampling is not performed, so that water quality sampling of all the intelligent sampling containers is completed.
The flow speed and direction of the sampling bottle 1 are detected by a compass sensor and a gyroscope sensor in the detection device 2. The flow rate and the travel speed are the same here. And the pipe network node is determined according to at least three parameters of displacement, flow speed and direction drifted by the sampling bottle 1. Firstly, presetting the drifting displacement of a sampling bottle 1 in an underground pipe network and the threshold values of the flow rate and the direction after the drifting displacement, when the sampling bottle 1 is put in a certain node of the underground pipe network, beginning to calculate the displacement, when the drifting displacement of the sampling bottle 1 reaches xm, a compass sensor and a gyroscope sensor detect the flow rate, a direction detector detects whether the flow rate and the direction exceed the preset threshold values, if the flow rate and the direction exceed the preset threshold values, the sampling bottle 1 continuously drifts for a preset distance which can be set to be 5m, 10m and the like, namely, when the sampling bottle 1 identifies the node of the pipe network, the flow is drifted for a preset distance downwards, the water samples converged at the node are uniformly mixed and then sampled, the representativeness of the water samples is ensured, at the moment, the gyroscope sensor sends an electric signal to a control module 4, the control module 4 triggers a valve 14 to open, and the water samples enter the sampling bottle 1 through a water inlet pipeline 13, after sampling is stopped, the control module 4 triggers the valve 14 to close to finish water quality sampling; if the drift displacement of the sampling bottle 1 exceeds (x +/-x), the sampling bottle 1 continuously drifts for a preset distance, and then the water quality is sampled, but when the drift displacement of the sampling bottle 1 exceeds (x +/-x)1) And m, the sampling bottle 1 drifts, and then the water quality sampling is not carried out. So that sampling of all the sampling bottles 1 is completed.
In this embodiment, the displacement of the space between two adjacent groups is the same, and the displacement of the space is the same> 0 or equal to 0. Alternatively, the displacement of the interval between two adjacent groups is different, and the interval displacement is more than 0. The displacement of the interval between the two adjacent groups is the same, which can be understood as 10, 20, 30, 40, … …, n, and the displacement of the water sampling interval between the two adjacent groups is 10, or 5, 20, 50, 70, … …, n, and the displacement of the water sampling interval between the two adjacent groups is different, so as to realize sampling at different positions of the underground pipe network. The number of n may be 10, 20, 30, … …, or more. In addition, x, y, … …, and n may be the same and are all 50, so as to realize multiple sampling at the same or similar positions. X is above1、y1、……、n1May be the same or different.
In this embodiment, the determination of the drifting displacement of the intelligent sampling container includes the following steps: and measuring the water flow speed of a certain node of the underground pipe network, and taking the water flow speed as the initial speed of the intelligent sampling container. The intelligent sampling container is provided with a detection device 2, and the detection device 2 can sense the advancing speed and the advancing time of the intelligent sampling container, so that the drifting displacement of the intelligent sampling container is determined. A compass sensor and a gyroscope sensor are arranged in the detection device 2, and the travelling speed, the travelling time and the travelling direction of the sampling container can be sensed. The method comprises the steps of detecting the advancing speed and the advancing time from the beginning of throwing a certain node of an underground pipe network, taking the water flow speed of the node at the throwing position as the initial speed of an intelligent sampling container, and calculating the drifting displacement of the intelligent sampling container through the integral of the speed and the time.
The calculation formula is as follows:
ΔS＝v×Δt
ds＝v×dt
S＝∫v×dt
wherein S is a displacement; v is the instantaneous velocity; t is time.
In this embodiment, intelligence sampling container is equipped with and is used for guaranteeing the intelligent sampling container advancing direction in order to realize that the water sample gets into the rivers guider 3 in the intelligent sampling container. The intelligent sampling container is sampling bottle 1, and rivers guider 3 sets up on sampling bottle 1, makes intelligent sampling container difficult emergence rotation in the rivers, and its advancing direction keeps relatively stable to realize in the water sample gets into intelligent sampling container, guarantee intelligent sampling container normal sampling.
As shown in fig. 3, in the present embodiment, the intelligent sampling container includes a sampling bottle 1; the sampling bottle 1 comprises a bottle cap 11 and a bottle body 12, the bottle cap 11 and the bottle body 12 are designed integrally or separately, a water inlet pipeline 13 is arranged on the bottle cap 11, a valve 14 is arranged on the water inlet pipeline 13, the valve 14 is electrically connected with a control module 4, the control module 4 is used for controlling the state of the valve 14, and the control module 4 is electrically connected with a detection device 2; when the sampling bottle 1 reaches one of the preset time, displacement or pipe network node, the control module 4 triggers the valve 14 to open, a water sample enters the sampling bottle 1 through the valve 14, and after sampling is stopped, the control module 4 triggers the valve 14 to close to finish water quality sampling. The bottle cap 11 is also provided with an air outlet pipeline 17 at the side opposite to the water inlet pipeline 13, and the control module 4 controls the sampling state by controlling the state of the valve 14.
Sampling bottle 1 can be designed to have a plurality of regions that average density is different, and water inlet pipe 13 is located the biggest region of average density of sampling bottle 1, and air outlet pipe 17 is located the minimum region of average density, puts sampling bottle 1 into the sampling point after, and water inlet pipe 13 is located below the liquid level promptly, and air outlet pipe 17 is located above the liquid level promptly, and when control module 4 control flap 14 was opened, water inlet pipe 13 can let in water sample to bottle 12 in automatically. Wherein a plurality of regions having different average densities can be formed by processing the material and/or shape of the sample bottle 1 itself; or a plurality of areas with different average densities are formed by arranging a weight distribution structure in the sampling bottle 1 and/or outside the sampling bottle 1, for example, a weight block is additionally arranged on the sampling bottle 1, and the water inlet pipeline 13 is arranged near the weight block, so that the water inlet pipeline 13 is positioned in the area with the maximum average density of the sampling bottle 1; or a plurality of areas with different average densities are formed by arranging an air floating structure in the sampling bottle 1 and/or outside the sampling bottle 1. Along with the water sample gets into in the bottle 12 gradually, makes the holistic density distribution of sampling bottle 1 change, consequently sampling bottle 1's gesture also changes, when water inlet pipe 13 changes to more than the liquid level, then the automatic shutdown sampling, after the sampling is accomplished, water inlet pipe 13 and gas outlet pipe 17 all are higher than the liquid level height in the bottle 12. In addition, when the pressure difference between the water inlet pipeline 13 and the air outlet pipeline 17 is zero, the sampling can be automatically stopped, the automatic sample introduction and the automatic sampling stopping can be realized, the manual sampling operation is not needed, the structure is simple, and the manufacturing cost is low. The overall average density of the sampling bottle 1 after sampling is still less than the density of the surrounding water environment, so the sampling bottle 1 after sampling still floats on the liquid surface. Therefore, the average density of different areas of the sampling bottle 1 can be designed according to the sampling quantity requirement of the water sample, so that the automatic sampling quantity of the sampling bottle 1 meets the requirement.
According to the requirement of the sampling quantity of the water sample, the average density of different areas of the sampling bottle 1 is designed, so that the automatic sampling quantity of the sampling bottle 1 meets the requirement. Such as: the average density of the area near the water inlet pipeline 13 is designed to be not less than the density of the water sample to be detected, and the average density of the area near the air outlet pipeline 17 is not more than the density of the water sample to be detected. Or the average density of the area near the water inlet pipeline 13 is smaller than the density of the water sample to be detected, but the water sample to be collected is partially emptied after the area near the water inlet pipeline 13 contacts the liquid level after the sampling bottle 1 is put on the sampling liquid level by matching the structural design connected with the water inlet pipeline, so that the water inlet pipeline 13 is partially or completely positioned below the liquid level, and the water sample can be ensured to smoothly enter the sampling bottle 1 under the pressure difference. For example, the average density of the area of the water inlet pipeline 13 is less than that of the water sample to be sampled, a structure or a component for providing pressure is connected outside the area, after the water is forcibly put into the sampling point, the area near the water inlet pipeline 13 is in contact with the liquid level, partial emptying is also performed on the water sample to be sampled, and then the pressure difference exists between the inner cavity of the sampling bottle 1 and the liquid level.
Therefore, there is no definite size definition between the average density of the area near the water inlet pipeline 13 and/or the air outlet pipeline 17 and the density of the water sample to be collected, and in the specific implementation process, the flexible structure can be matched, for example, the area where the average density of the water inlet pipeline 13 is smaller than the density of the water sample to be collected is processed into a wedge shape or a cone shape, the sampling bottle 1 is put into the sampling point, and after the balance is maintained, part or all of the water inlet pipeline 13 is located below the liquid level.
The above description is only given by way of example of the preferred embodiments of the present invention, but it will be obvious to those skilled in the art that, based on the above disclosure, other similar structures can be designed based on the relationship between the density of the water inlet pipe 13 and the water sample to be collected. For example, by externally connecting an auxiliary structure to the sampling bottle 1, power is provided to the sampling bottle 1, so that when the sampling bottle 1 is in a balanced position, it is only required to ensure that part or all of the water inlet pipeline 13 is located below the liquid level, which can be appropriately adjusted according to specific situations, and as to specific fixed positional relationships or other structural shapes that achieve the same function, it should be easily understood by those skilled in the art, and therefore, the details are not described herein.
The necessary description is made with respect to the average density of the sample bottle 1: in a cavity state, the average density of the whole sampling bottle 1 is the ratio of the mass of the sampling bottle 1 to the volume of the sampling bottle 1; under the sampling state, the average density is the ratio of the sum of the mass of the sampling bottle 1 and the water sample collected to the inside to the volume of the sampling bottle 1. Preferably, the average density of the sampling bottle 1 as a whole is not greater than the density of the water sample to be collected. From this, can ensure that whole sampling bottle 1 is at the sampling process and accomplish the back, sampling bottle 1 can float on the surface of treating the water sampling.
Furthermore, the sampling bottle 1 may be a plurality of connected chambers and/or a plurality of chambers independent of each other. Therefore, the sampling of a plurality of sampling points can be realized by one sampling terminal through the control valve; or one controller implements sampling at the same sampling point, and/or at different time periods of multiple sampling points.
Optionally, the overall average density of the sampling bottle 1 before sampling is less than the density of the water sample. After the sampling bottle 1 is arranged at the sampling point, the water inlet pipeline 13 is positioned in the area with the maximum average density of the sampling bottle 1, the water inlet pipeline 13 sinks below the liquid level firstly, so that a water sample is collected into the bottle body 12 from the water inlet pipeline 13, and the gas in the bottle body 12 is discharged to the outside from the gas outlet pipeline 17. Optionally, the outlet line 17 also sinks below the liquid level, or the outlet line 17 does not sink below the liquid level. When the liquid level in the sampling bottle 1 is level with the liquid level of the collection point, the sampling can be automatically stopped. Along with the water sample gets into in the bottle 12 gradually, makes the holistic density distribution of sampling bottle 1 change, consequently sampling bottle 1's gesture also changes, when inlet channel 13 changes to more than the liquid level, then the automatic shutdown sampling. The overall average density of the sampling bottle 1 after sampling is still less than the density of the surrounding water environment, so the sampling bottle 1 after sampling still floats on the liquid surface. The automatic sampling volume of sampling bottle 1 equals the flowing back volume of sampling bottle 1, requires according to the sampling volume of water sample, designs the average density in the different regions of sampling bottle 1 to make the automatic sampling volume of sampling bottle 1 meet the requirements.
Optionally, the bulk average density of the sampling bottle 1 before sampling is equal to the density of the liquid sample. After sampling point was arranged in to sampling bottle 1, water inlet pipe 13 was located the biggest region of sampling bottle 1's average density, and water inlet pipe 13 sinks earlier to below the liquid level, makes the water sample gather to bottle 12 in from water inlet pipe 13, and gas in the bottle 12 then discharges to the external world from gas outlet pipe 17, is full of the water sample back in bottle 12, then automatic stop sampling, suspends in below the liquid level after sampling bottle 1 has gathered.
Optionally, the overall average density of the sampling bottle 1 before sampling is greater than the density of the water sample, and the sampling bottle 1 sinks below the liquid level after being collected. Sampling bottle 1's automatic sampling volume equals sampling bottle 1's total volume, requires according to the sampling volume of water sample, designs sampling bottle 1's whole average density and sampling bottle 1's total volume to make sampling bottle 1's automatic sampling volume meet the requirements.
In addition, as another alternative, a vacuum chamber may be provided in the bottle body 12, the pressure in the vacuum chamber is less than the atmospheric pressure, and when the control module 4 controls the valve 14 to be opened, the water sample is automatically quantitatively pumped into the vacuum chamber of the sampling bottle 1 by using the pressure difference between the vacuum chamber and the atmospheric pressure. And moreover, the pressure in the vacuum cavity can be adjusted in advance according to the required sample injection amount, after the sampling bottle 1 is put into water, the water inlet pipeline 13 is positioned below the water surface, the valve 14 is opened through the control module 4, the water sample is automatically pumped into the vacuum cavity of the sampling bottle 1 by utilizing the pressure difference between the vacuum cavity and the atmospheric pressure, and the sample injection is automatically stopped until the water sample in the vacuum cavity reaches the required sample injection amount.
In this embodiment, the sampling bottle 1 is further provided with a storage module 15 and a plurality of environmental sensors 16, the environmental sensors 16 are used for detecting relevant parameters of the surrounding water environment, and the storage module 15 is used for storing the relevant parameters detected by the environmental sensors 16. The sampling bottle 1 can monitor temperature data, flow data, pH value data, conductivity data and the like of the surrounding water environment within a period of time by installing a plurality of environment sensing sensors, so that relevant water quality parameters of the surrounding water environment are monitored on site for a long time, the monitoring data are stored by the control module, and when the monitoring data need to be acquired, the sampling bottle 1 is fished up to read the monitoring data stored in the control module.
Preferably, the environmental awareness sensors 16 include at least one of a pressure sensor, compass sensor, gyroscope sensor, temperature sensor, conductivity sensor, pH sensor, ORP sensor, dissolved oxygen sensor, turbidity sensor, microphone, video capture device. Wherein, the environment perception sensor 16 includes at least one of a pressure sensor for detecting the water depth of the position where the sampling bottle 1 is located, a temperature sensor for detecting the temperature of the water sample, a conductivity sensor for detecting the conductivity of the water sample, a pH sensor for detecting the pH value of the water sample, a turbidity sensor for detecting the turbidity of the water sample, a sound pick-up and a video acquisition device. The GPS positioner can position the fishing position of the sampling bottle 1. Compass sensors and gyroscope sensors to identify changes in orientation of the sample bottle 1. The device comprises a dissolved oxygen sensor for detecting dissolved oxygen in a water sample and an ORP sensor for detecting ORP. Still include the video image device, before sampling bottle 1 puts in, in the data input video image device with discernment pipe network node in advance, put in to a certain node of underground pipe network when sampling bottle 1, the video image device opens and discerns the surrounding environment, and then discerns underground pipe network node.
In this embodiment, the method further includes: salvage intelligent sampling container, accomplish dynamic sampling for the first time, detect the water sample of gathering, the pollution degree in certain region of analysis carries out dynamic sampling for the second time again to this region to accurate analysis pollution degree and pollutant source. After the first dynamic sampling is completed, if a certain area needs to be resampled and detected, the second dynamic sampling can be performed according to a specific design of the area. For example, after the first dynamic sampling is performed on the water quality according to the time, the second dynamic sampling is performed at the position where the water quality sampling time of the 3 rd intelligent sampling container is 60min, and if the second dynamic sampling is performed on the water quality with the time, the specific steps can be as follows: put 5 intelligent sampling containers in a certain node of an underground pipe network, the water quality sampling time of the 1 st intelligent sampling container is 58min, the water quality sampling time of the 2 nd intelligent sampling container is 59min, the water quality sampling time of the 3 rd intelligent sampling container is 60min, the water quality sampling time of the 4 th intelligent sampling container is 61min, the water quality sampling time of the 5 th intelligent sampling container is 62min, the water quality sampling of all intelligent sampling containers is completed, the method can also be used for putting 5 intelligent sampling containers in a certain node of the underground pipe network at intervals, and the water quality sampling time of each intelligent sampling container is 60 min. For example, after the first dynamic sampling is performed on the water quality according to the displacement, the second dynamic sampling is performed on the position where the displacement of the 5 th intelligent sampling container drifts is 100m, the second dynamic sampling is performed on the water quality according to the displacement, and the specific steps can be as follows: put 7 intelligent sampling containers in a certain node of an underground pipe network, the water quality sampling time of the 1 st intelligent sampling container is 94m, the water quality sampling time of the 2 nd intelligent sampling container is 96m, the water quality sampling time of the 3 rd intelligent sampling container is 98m, the water quality sampling time of the 4 th intelligent sampling container is 100m, the water quality sampling time of the 5 th intelligent sampling container is 102m, the water quality sampling time of the 6 th intelligent sampling container is 104m, the water quality sampling time of the 7 th intelligent sampling container is 106m, the water quality sampling of all the intelligent sampling containers is completed, also can be, put 7 intelligent sampling containers in a certain node of the underground pipe network at intervals, and the drift displacement of each intelligent sampling container is 100 m.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A dynamic sampling method for an underground pipe network is characterized by comprising the following steps:
s1, putting an intelligent sampling container at a certain node of the underground pipe network according to sampling requirements, wherein the intelligent sampling container dynamically moves in the underground pipe network in a drifting manner;
s2, triggering the intelligent sampling container to sample water quality in an underground pipe network according to one of time, displacement or pipe network nodes by the intelligent sampling container;
and S3, after the water quality sampling is finished, salvaging the intelligent sampling container at the corresponding node.
2. The underground pipe network dynamic sampling method of claim 1,
the intelligent sampling container is used for sampling water quality according to time and comprises the following steps:
putting N intelligent sampling containers at a certain node of an underground pipe network, wherein the water quality sampling time of the 1 st intelligent sampling container is amin, the water quality sampling time of the 2 nd intelligent sampling container is bmin, the water quality sampling time of the 3 rd intelligent sampling container is cmin and … …, and the water quality sampling time of the Nth intelligent sampling container is nmin, and completing the water quality sampling of all the intelligent sampling containers.
3. The underground pipe network dynamic sampling method of claim 2,
the water quality sampling interval time between two adjacent groups is the same, and the interval time is more than 0 or equal to 0; or
The water quality sampling interval time between two adjacent groups is different, and the interval time is more than 0.
4. The underground pipe network dynamic sampling method of claim 1,
the intelligent sampling container samples water quality according to displacement and comprises the following steps:
putting N intelligent sampling containers at a certain node of an underground pipe network, wherein the drifting displacement of the 1 st intelligent sampling container is xm, the drifting displacement of the 2 nd intelligent sampling container is ym, the drifting displacement of the 3 rd intelligent sampling container is zm and … …, and the drifting displacement of the Nth intelligent sampling container is nm, so that the water quality sampling of all the intelligent sampling containers is completed.
5. The underground pipe network dynamic sampling method of claim 1,
the determination of the intelligent sampling container according to the pipe network nodes comprises the following steps:
put in N intelligent sampling container at certain node of underground pipe network, when the displacement that 1 st intelligent sampling container drifted to xm, detect whether the change of the velocity of flow and the direction of 1 st intelligent sampling container surpassed preset threshold, surpassed after presetting the threshold, continued drifting one section preset distance, carry out the quality of water sampling again, do not surpass preset threshold then 1 st intelligent sampling container continues drifting, is direct the change of the velocity of flow and the direction of 1 st intelligent sampling container surpasss preset threshold, continues drifting one section preset distance, carries out the quality of water sampling again, nevertheless exceeds (x + x) when 1 st intelligent sampling container drift displacement1) When m is reached, the water quality sampling is not carried out when the 1 st intelligent sampling container drifts; when the drift of the 2 nd intelligent sampling container is shifted to ym, whether the change of the flow speed and the direction of the 2 nd intelligent sampling container exceeds a preset threshold value or not is detected, after the change of the flow speed and the direction of the 2 nd intelligent sampling container exceeds the preset threshold value, the drift is continued for a section of preset distance, then the water quality sampling is carried out, and the change of the flow speed and the direction of the 2 nd intelligent sampling container does not exceed the preset threshold value, so that the drift is continued for a section of preset distance, then the water quality sampling is carried out, but the drift of the 2 nd intelligent sampling container exceeds (y + y)1) During m, when the drift of the 2 nd intelligent sampling container does not carry out water quality sampling, … … and the drift of the Nth intelligent sampling container shifts to nm, the flow speed and the direction of the Nth intelligent sampling container are detectedWhether the change exceeds a preset threshold value or not, continuously drifting for a section of preset distance after the change exceeds the preset threshold value, then sampling the water quality, if the change does not exceed the preset threshold value, continuously drifting the Nth intelligent sampling container until the change of the flow speed and the direction of the Nth intelligent sampling container exceeds the preset threshold value, continuously drifting for a section of preset distance, then sampling the water quality, and if the drifting displacement of the Nth intelligent sampling container exceeds (N + N)1) And m, the Nth intelligent sampling container drifts, and water quality sampling is not performed, so that water quality sampling of all the intelligent sampling containers is completed.
6. A method for dynamically sampling an underground pipe network according to claim 4 or 5,
the displacement of the interval between two adjacent groups is the same, and the interval displacement is more than 0 or equal to 0; or
The displacement of the interval between two adjacent groups is different, and the interval displacement is more than 0.
7. A method for dynamically sampling an underground pipe network according to claim 4 or 5,
the determination of the drifting displacement of the intelligent sampling container comprises the following steps:
measuring the water flow speed at a certain node of an underground pipe network, and taking the water flow speed as the initial speed of the intelligent sampling container;
the intelligent sampling container is provided with a detection device (2), and the detection device (2) can sense the travel speed and the travel time of the intelligent sampling container, so that the drifting displacement of the intelligent sampling container is determined.
8. The underground pipe network dynamic sampling method of claim 7,
the intelligent sampling container comprises a sampling bottle (1);
the sampling bottle (1) comprises a bottle cap (11) and a bottle body (12), the bottle cap (11) and the bottle body (12) are integrally designed or separately designed, a water inlet pipeline (13) is arranged on the bottle cap (11), a valve (14) is arranged on the water inlet pipeline (13), the valve (14) is electrically connected with a control module (4), the control module (4) is used for controlling the state of the valve (14), and the control module (4) is electrically connected with the detection device (2);
when the sampling bottle (1) reaches one of preset time, displacement or pipe network node, the control module (4) triggers the valve (14) to be opened, a water sample enters the sampling bottle (1) through the valve (14), and after sampling is stopped, the control module (4) triggers the valve (14) to be closed to finish water quality sampling.
9. The dynamic sampling method for underground pipe network according to claim 8,
the sampling bottle (1) is further provided with a storage module (15) and a plurality of environment perception sensors (16), the environment perception sensors (16) are used for detecting relevant parameters of the surrounding water environment, and the storage module (15) is used for storing the relevant parameters detected by the environment perception sensors (16);
the environmental perception sensor (16) comprises at least one of a pressure sensor, a compass sensor, a gyroscope sensor, a temperature sensor, a conductivity sensor, a pH sensor, an ORP sensor, a dissolved oxygen sensor, a turbidity sensor, a sound pick-up, and a video acquisition device.
10. The underground pipe network dynamic sampling method of claim 1,
further comprising: the intelligent sampling container is salvaged, the first dynamic sampling is completed, the collected water sample is detected, the pollution degree of a certain area is analyzed, the second dynamic sampling is performed on the area, and the pollution degree and the pollutant source are accurately analyzed.
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| DE19921079A1 (en) * | 1999-04-30 | 2000-11-16 | Stiftung A Wegener Inst Polar | Method for determining the salinity of liquids and device for carrying out the method |
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