CN110514361B - Saline field leakage early warning method and device based on environment Internet of things technology - Google Patents

Saline field leakage early warning method and device based on environment Internet of things technology Download PDF

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CN110514361B
CN110514361B CN201910775556.0A CN201910775556A CN110514361B CN 110514361 B CN110514361 B CN 110514361B CN 201910775556 A CN201910775556 A CN 201910775556A CN 110514361 B CN110514361 B CN 110514361B
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early warning
conductivity
salt
leakage
test data
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CN110514361A (en
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郑拴宁
赵景柱
王豪伟
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Institute of Urban Environment of CAS
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01MTESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M3/00Investigating fluid-tightness of structures
    • G01M3/02Investigating fluid-tightness of structures by using fluid or vacuum
    • G01M3/04Investigating fluid-tightness of structures by using fluid or vacuum by detecting the presence of fluid at the leakage point
    • G01M3/16Investigating fluid-tightness of structures by using fluid or vacuum by detecting the presence of fluid at the leakage point using electric detection means

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  • Investigating Or Analyzing Materials By The Use Of Electric Means (AREA)
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Abstract

The invention relates to the technical field of salt pan leakage detection, in particular to a salt pan leakage early warning method and device based on the environment Internet of things technology, wherein the method comprises the following steps: selecting a plurality of salt fields to be detected, and coding the corresponding salt field positions; testing the conductivity of the aqueous solution in the detection cavity below the salt pan through conductivity sensors preset in the salt pans to obtain test data; transmitting test data for detecting the conductivity of the aqueous solution in the cavity below the salt pan to a data center in real time; the data center compares the acquired test data with a preset standard numerical range and judges whether leakage occurs or not; when the test data is in the standard numerical range, early warning is not needed; when the test data is beyond the standard value range, the data center confirms the salina where the test data is sourced and sends out early warning information. The salt pan leakage early warning method provided by the invention has extremely high accuracy and real-time performance, and can accurately judge the position of the salt pan with leakage.

Description

Saline field leakage early warning method and device based on environment Internet of things technology
Technical Field
The invention relates to the technical field of salt pan leakage detection, in particular to a salt pan leakage early warning method and device based on the environment Internet of things technology.
Background
In the traditional sea salt production, sea water or underground brine is poured into a salt pond, and the raw salt is separated out after natural evaporation and crystallization, and the process cannot leave the function of a raw salt crystallization pond, namely the salt pond. The bottom of the pool of traditional crude salt crystallization pond is through the bottom of the pool portion of digging out go on simply level and smooth and roll the compaction after pour into brine and shine the salt, and the salt pond bottom of the pool of this kind of mode preparation is shining the drawback such as salt in-process existence brine seepage inevitable to the brine seepage in the salt pond is extravagant and the like phenomenon takes place.
In the production of the salt pan, the brine leakage of the salt pan is an important index for evaluating the quality of the salt pan; the brine resource loss caused by the leakage of the salt field is a technical problem encountered by many sodium salt and potassium salt production and manufacturing units. According to the practical production experience, the leakage rate of the Qinghai salt lake salt pan and the Xinjiang salt lake salt pan in China is about 0.5-0.8 mm/d, the loss of potassium resources caused by leakage reaches 20-50%, and brine leaked from the salt pan is dispersed and absorbed after permeating into the underground and is difficult to recover and recycle; the salt pan leakage not only causes the cost of resource amount, manpower, material resources and the like consumed by unit products to be greatly increased, but also causes huge loss of resources.
Therefore, in view of the cost increase and resource loss caused by salt pan leakage, technicians have conducted a large amount of salt pan seepage-proofing studies and developed a large amount of salt pan seepage-proofing techniques. At the present stage, the most used clay is mechanically compacted to prevent seepage, the clay has the characteristics of fine particles, good combination, strong plasticity and the like, and the mechanical compaction can reduce gaps in a soil structure, enhance compactness and effectively reduce seepage; the method has the advantages of low cost and simple construction; the other effective seepage-proofing method is plastic film bottoming seepage-proofing, namely a plastic film is paved in the soil at the bottom of the salt pan or on the surface of the soil to form a barrier layer so as to prevent brine leakage, the used film is made of PVC canvas or PE plastic film, the plastic film bottoming construction is simple, the seepage-proofing effect is ideal, and the plastic film bottoming seepage-proofing technology is a technology which can be adopted in large scale for salt pan seepage-proofing due to wide adaptability.
However, while the anti-seepage technology is continuously developed and advanced, the salt pan leakage detection technology is in a state of being in a standstill; the existing salt field leakage test method mainly includes water level probe method and bell jar leakage test method, the water level probe method uses probe to touch the water surface of the tested water level, but the depth of the probe touching the water surface will affect the test precision, the bell jar leakage test method uses a bell-type barrel to cover the bottom of the salt pool to measure its local leakage quantity to calculate the whole leakage quantity, but the method also has the contradiction of affecting its leakage test precision due to the factors of measuring point selection and depth of the inserted cover barrel, and the two methods have the defects of complex operation and difficult mastering. Therefore, the existing salt pan leakage detection method has poor precision, and the failure to find the leakage area in time becomes a long-term scientific research subject of salt pan professional workers.
Disclosure of Invention
In order to solve the problems that the salt pan leakage detection method in the background technology is poor in precision and leakage cannot be found in time, the invention provides a salt pan leakage early warning method based on the environmental internet of things technology, which comprises the following steps:
s1, selecting a plurality of salt pans to be tested, and coding the corresponding salt pan positions;
step S2, testing the conductivity of the aqueous solution in the detection cavity below the corresponding salt pan through conductivity sensors preset in the salt pans to obtain test data;
step S3, transmitting conductivity test data of the aqueous solution in the detection cavity below the salt pan to a data center in real time;
step S4, the data center compares the acquired test data with a preset standard value range, and judges whether leakage occurs;
step S5, when the test data is in the standard numerical range, no early warning is needed; when the test data is beyond the standard value range, the data center confirms the salina where the test data is sourced and sends out early warning information.
On the basis of the above scheme, preferably, the conductivity sensor is a DFRobot conductivity sensor.
On the basis of the scheme, preferably, the conductivity sensor is powered by a solar mechanism arranged on the periphery of the salt pan.
On the basis of the above scheme, preferably, the method further comprises the following test data processing method when the salt pan leaks:
step SS1, obtaining a data change curve according to the obtained test data, and constructing a solution conductivity change function;
step SS2, comparing the solution conductivity change function with a pre-obtained standard aqueous solution conductivity change function along with time;
and step SS3, judging whether leakage occurs and the leakage degree according to the comparison result, and giving an early warning.
The invention provides a saline field leakage early warning device based on the environment Internet of things technology, which comprises a detection cavity body arranged below a saline field, wherein the detection cavity body is communicated with the outside through a detection channel, and a channel port, connected with the outside, of the detection channel is provided with a conductivity sensor used for detecting the conductivity change condition of a water solution filled in the detection cavity body and in the detection channel.
On the basis of the above structure, preferably, a data transmission device is provided in the conductivity sensor.
On the basis of the above structure, preferably, the detection cavity is connected with two detection channels, and the external channel ports of the detection channels are provided with conductivity sensors.
On the basis of the structure, preferably, the two detection channels are arranged at the diagonal positions of the salt pan.
Compared with the prior art, the saline field leakage early warning method and device based on the environmental Internet of things technology have the following advantages: by adopting the saline field leakage early warning method based on the environmental Internet of things technology, on one hand, due to the fact that the aqueous solution has larger conductivity difference compared with the saline solution, when brine in the saline field leaks, whether the saline field leaks or not can be judged quickly and accurately by detecting the conductivity of the aqueous solution; on the other hand, when the salt pan takes place the seepage, should detect the existence of cavity and can also avoid the salt solution to direct infiltration soil to a certain extent, cause the destruction of soil and the loss of brine resource.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a schematic structural diagram of a salt field leakage early warning device based on the environmental internet of things technology provided by the invention;
fig. 2 is a cross-sectional view of a salt field leakage early warning device based on the environmental internet of things technology provided by the invention;
fig. 3 is a schematic structural diagram of another saline field leakage early warning device based on the environmental internet of things technology.
Reference numerals:
100 salt pan 200 detection cavity 210 detection channel
300 conductivity inductor
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the description of the present invention, it should be noted that the terms "center", "longitudinal", "lateral", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc., indicate orientations or positional relationships based on those shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the referred device or element must have a specific orientation, be constructed and operated in a specific orientation, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first" and "second" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
The invention provides a saline field leakage early warning method based on an environment Internet of things technology, which comprises the following steps of:
s1, selecting a plurality of salt pans 100 to be tested, and coding the positions of the corresponding salt pans 100;
in specific implementation, in step S1, a plurality of salt pans 100 to be tested are selected, and the salt pans 100 are coded, where the coding mode may be 1, 2, 3, and 4.
Step S2, testing the conductivity of the aqueous solution in the detection cavity 200 below the corresponding salt pan 100 through the conductivity sensor 300 preset in each salt pan 100 to obtain test data;
in specific implementation, the detection cavity 200 is arranged at the bottom of the salt pan 100, and the space volume in the detection cavity 200 is preferably designed to be much smaller than the volume of the salt pan 100 capable of containing seawater, so that the salt pan 100 can be easily detected to leak, and certainly, the detection cavity can be adaptively adjusted according to actual conditions; the detection cavity 200 is filled with an aqueous solution, the aqueous solution may be tap water or the like, the detection cavity 200 is communicated to the surface of the earth through a detection channel 210, meanwhile, the detection channel 210 is also filled with the same aqueous solution as that in the detection cavity 200, a conductivity sensor 300 is arranged on a channel port of the surface of the earth of the detection channel 210, and the aqueous solution in the detection cavity 200 is detected through the conductivity sensor 300 to obtain conductivity data of the aqueous solution in the detection cavity 200;
in addition, the detection channel 210 is provided with a detachable sealing structure at the channel opening on the surface of the earth, the sealing structure can prevent impurities such as external gas and liquid from entering the detection channel 210 and the detection cavity 200 to affect the accuracy of the test, and the detachable sealing structure can facilitate the replacement of the aqueous solution in the detection cavity 200; the conductivity sensor 300 is also arranged in the sealing structure, which is beneficial to protecting the conductivity sensor 300, and meanwhile, the conductivity sensor 300 is arranged outside the salt pan 100, so that the replacement and maintenance are convenient;
moreover, the conductivity sensors 300 can also be coded, and the specific coding mode can correspond to the numbers of the salt pan 100 one by one, for example, when the salt pan 100 is No. 1, the corresponding conductivity sensors 300 are No. 1-n sensors, wherein n is more than or equal to 1, and is the nth conductivity sensor 300 corresponding to the salt pan 100 No. 1; similarly, when the number of the salt pan 100 is (1,1), the corresponding conductivity sensor 300 is a (1,1) -n sensor, where n ≧ 1 is the nth conductivity sensor 300 corresponding to the salt pan 100 No. 1.
Step S3, transmitting conductivity test data of the aqueous solution in the detection cavity 200 below the salt pan 100 to a data center in real time;
in specific implementation, the data detected by the conductivity sensor 300 may be transmitted to a preset data center in a wired or wireless transmission manner, and the data center performs subsequent analysis and processing according to the obtained test data.
Step S4, the data center compares the acquired test data with a preset standard value range, and judges whether leakage occurs;
in specific implementation, a conductivity test value detected by the conductivity sensor 300 is compared with a standard value range of the aqueous solution obtained through the environmental internet of things, and according to whether the conductivity of the tap water exceeds the standard value range, for example, the conductivity of the tap water is between 125-.
Step S5, when the test data is in the standard numerical range, no early warning is needed; when the test data is beyond the standard value range, the data center confirms the salt pan 100 of the source of the test data and sends out early warning information.
In specific implementation, when the test data is displayed in a standard numerical range, early warning is not needed; when the test data is out of the standard value range, the data center confirms the corresponding salt pan 100 through the serial number of the conductivity sensor 300 of the test data source, and sends the message to the relevant manager and the like.
Moreover, the analysis test data can be uploaded to the environment Internet of things as reference data.
By adopting the saline field leakage early warning method based on the environmental Internet of things technology, on one hand, due to the fact that the aqueous solution has larger conductivity difference compared with the saline solution, when brine in the saline field leaks, whether the saline field 100 leaks or not can be judged quickly and accurately by detecting the conductivity of the aqueous solution; on the other hand, when the salt pan 100 leaks, the existence of the detection cavity 200 can also prevent the salt solution from directly permeating into the soil to a certain extent, which causes the damage of the soil and the loss of brine resources.
Preferably, the conductivity sensor 300 is a DFRobot conductivity sensor 300.
In specific implementation, conductivity values of the aqueous solution in the detection cavity 200 disposed under each salt pan 100 are measured by using the DFRobot conductivity sensor 300.
Preferably, the conductivity sensor 300 is powered by a solar powered mechanism disposed in the periphery of the salt pan 100.
In specific implementation, in order to fully utilize natural resources and avoid energy waste, solar mechanisms are arranged around the salt pan 100, and the positions of the salt pan 100 are all irradiated by sunlight, so that the solar mechanisms are beneficial to the effective utilization of the solar resources.
Preferably, based on the salt pan leakage early warning method, the method further comprises the following test data processing method when the salt pan 100 leaks:
step SS1, obtaining a data change curve according to the obtained test data, and constructing a solution conductivity change function;
in specific implementation, according to the obtained test data, a line graph of the change rule of the conductivity of the aqueous solution in the detection cavity 200 and the time can be obtained through the data, so that a function of the change of the conductivity of the solution is constructed;
step SS2, comparing the solution conductivity change function with a pre-obtained standard aqueous solution conductivity change function along with time;
in specific implementation, experiments show that the conductivity of the aqueous solution at a certain temperature in a closed system is not constant and shows slow continuous increase; thus, the used aqueous solution is subjected to a conductivity test for a long time, and the conductivity of the aqueous solution is obtained as a function of time; in order to eliminate the influence caused by the change of the self-conductivity of the aqueous solution, the function formed by the conductivity of the aqueous solution in a specified time is compared with the function of the change of the conductivity of the standard aqueous solution along with the time, so that the influence caused by the change of the self-conductivity of the aqueous solution is eliminated, and the occurrence of judgment errors is reduced.
And step SS3, judging whether leakage occurs and the leakage degree according to the comparison result, and giving an early warning.
In specific implementation, a function formed by the conductivity of the solution in a specified time is compared with a function of the conductivity of the standard aqueous solution changing along with time, and when the increase rate of the conductivity of the solution is higher than that of the aqueous solution, the condition that leakage exists is indicated, and an early warning prompt is given.
Moreover, the current severity of the leakage of the salt pan 100 can be judged by the trend of the increase rate of the conductivity of the solution.
The invention provides a saline field leakage early warning device based on the environment Internet of things technology, which comprises a detection cavity 200 arranged below a saline field 100, wherein the detection cavity 200 is communicated with the outside through a detection channel 210, and a conductivity sensor 300 used for detecting the conductivity change condition of a water solution filled in the detection cavity 200 and the detection channel 210 is arranged on a channel port of the detection channel 210 connected with the outside.
In particular, as shown in fig. 1-2, a sealed detection chamber 200 is provided at the bottom of the salt pan 100, although, may be a cavity whose bottom and periphery are sealed by cement concrete, the detection cavity 200 is filled with water solution, a detection channel 210 is arranged at one side of the detection cavity 200, the detection channel 210 is also filled with water solution, the detection channel 210 is connected with the outside, i.e., the earth's surface, a conductivity sensor 300 is provided at a port of the detection channel 210 connected to the earth's surface, the passage opening is preferably disposed near the corresponding salt pan 100, the conductivity sensor 300 is used for conducting conductivity detection of the aqueous solution in the whole detection cavity 200 through the aqueous solution in the passage opening portion, therefore, whether the salt pan 100 leaks or not is monitored in real time by detecting the change of the conductivity of the aqueous solution in the cavity 200;
on the basis of the above structure, as a preferred scheme, the channel opening is provided with a sealing structure, the conductivity sensor 300 is arranged in the sealing structure, the sealing structure may be a sealing cabin with a sealing cover at an upper end and a sealing cabin with a lower end fixedly and hermetically connected with the channel opening, the conductivity sensor 300 can be maintained and replaced by opening the sealing cover, and meanwhile, the aqueous solution in the detection cavity 200 can be added, extracted, replaced and the like through the detection channel 210.
It should be noted that, when the salt pan 100 with the detection cavity 200 is constructed, the bottom and the periphery of the upper surface of the detection cavity 200 may be removed, and concrete construction may be performed, and then the prefabricated slab with a pre-designed shape and size may be constructed on the upper surface of the detection cavity 200, so as to achieve sealing, and then the periphery of the salt pan 100 may be constructed;
it should be noted that, the inventive concept of the present invention is how to implement leakage detection and early warning for the salt pan 100, and the construction method of the detection cavity 200 and the salt pan 100 is a technology that can be implemented by those skilled in the art according to the inventive concept of the present invention and the prior art.
Preferably, a signal transmission device is disposed in the conductivity sensor 300.
During specific implementation, a data transmission device is arranged in the conductivity sensor 300, the data transmission mode can be wired transmission or wireless transmission, for example, data transmission is performed through the NB-IOT, and finally data is transmitted to a data center, the data center can be connected with the environment internet of things, and the data collected by the conductivity sensor 300 is analyzed through the environment internet of things.
Preferably, two detection channels 210 are connected to the detection chamber 200, and the external channel ports of the detection channels 210 are provided with conductivity sensors 300.
In specific implementation, as a preferable scheme, two detection channels 210 are connected to the detection cavity 200, the detection channels 210 are both communicated with the ground surface, and conductivity sensors 300 are disposed at the ports of the detection channels 210 connected to the ground surface, the ports are preferably disposed near the corresponding salt pan 100, and by the arrangement of the two conductivity sensors 300, when one sensor fails, the other sensor can still work.
Preferably, the two detection channels 210 are both arranged at diagonal positions of the salt pan 100.
In specific implementation, as shown in fig. 3, the detection channels 210 are disposed at opposite corners of the salt pan 100, so as to facilitate leakage at different positions, and obtain information more quickly for quick processing, and meanwhile, the approximate position can be determined according to the speed of the conductivity sensor 300 disposed on the two detection channels 210 for acquiring the conductivity change, specifically, as shown in fig. 3, when the conductivity sensor 300 on the right side first obtains the conductivity change, the position can be determined at the lower right corner, and if the conductivity sensor 300 on the left side first obtains the conductivity change, the position can be determined at the upper left corner.
Although terms such as salt pan, detection chamber, detection channel, conductivity sensor, etc. are used more often herein, the possibility of using other terms is not excluded. These terms are used merely to more conveniently describe and explain the nature of the present invention; they are to be construed as being without limitation to any additional limitations that may be imposed by the spirit of the present invention.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.

Claims (8)

1. A saline field leakage early warning method based on the environment Internet of things technology is characterized by comprising the following steps:
s1, selecting a plurality of salt pans to be tested, and coding the corresponding salt pan positions;
step S2, testing the conductivity of the aqueous solution in the detection cavity below the corresponding salt pan through conductivity sensors preset in the salt pans to obtain test data;
step S3, transmitting conductivity test data of the aqueous solution in the detection cavity below the salt pan to a data center in real time;
step S4, the data center compares the acquired test data with a preset standard value range, and judges whether leakage occurs;
step S5, when the test data is in the standard numerical range, no early warning is needed; when the test data is beyond the standard value range, the data center confirms the salina where the test data is sourced and sends out early warning information.
2. The saltern leakage early warning method based on the environmental internet of things technology as claimed in claim 1, wherein: the conductivity sensor is a DFRobot conductivity sensor.
3. The saltern leakage early warning method based on the environmental internet of things technology as claimed in claim 1, wherein: the conductivity sensor is powered by a solar mechanism arranged on the periphery of the salt pan.
4. The saline field leakage early warning method based on the environmental internet of things technology of claim 1, further comprising the following test data processing method when leakage occurs in a saline field:
step SS1, obtaining a data change curve according to the obtained test data, and constructing a solution conductivity change function;
step SS2, comparing the solution conductivity change function with a pre-obtained standard aqueous solution conductivity change function along with time;
and step SS3, judging whether leakage occurs and the leakage degree according to the comparison result, and giving an early warning.
5. The utility model provides a salt field seepage early warning device based on environment internet of things, its characterized in that: the detection cavity is communicated with the outside through a detection channel, and a conductivity sensor for detecting the conductivity change condition of the water solution filled in the detection cavity and the detection channel is arranged on a channel port of the detection channel connected with the outside.
6. The saltern leakage early warning device based on the technology of the internet of things of the environment according to claim 5, wherein: and a data transmission device is arranged in the conductivity sensor.
7. The saltern leakage early warning device based on the technology of the internet of things of the environment according to claim 5, wherein: the detection cavity is connected with two detection channels, and the external channel ports of the detection channels are provided with conductivity sensors.
8. The saltern leakage early warning device based on the technology of the internet of things of the environment according to claim 7, wherein: the two detection channels are arranged at the diagonal positions of the salt pan.
CN201910775556.0A 2019-08-21 2019-08-21 Saline field leakage early warning method and device based on environment Internet of things technology Active CN110514361B (en)

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