CN110082295A - Water quality monitoring system and method - Google Patents
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- CN110082295A CN110082295A CN201810074316.3A CN201810074316A CN110082295A CN 110082295 A CN110082295 A CN 110082295A CN 201810074316 A CN201810074316 A CN 201810074316A CN 110082295 A CN110082295 A CN 110082295A
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- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 title claims abstract description 268
- 238000012544 monitoring process Methods 0.000 title claims abstract description 104
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- 238000001514 detection method Methods 0.000 claims abstract description 175
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- 238000004891 communication Methods 0.000 claims abstract description 38
- 238000001228 spectrum Methods 0.000 claims abstract description 29
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- 238000004458 analytical method Methods 0.000 claims description 14
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- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
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Abstract
This disclosure relates to water quality monitoring system and method, the system includes multiple detection devices and water quality monitoring server, wherein, each detection device includes: spectrum sensor, it is detected for the water quality to the target water, and detection communication module, for sending the detection data of the spectrum sensor to the water quality monitoring server, the water quality monitoring server includes: service communication module, for receiving detection data transmitted by the multiple detection device;And processing module, for determining whether the water quality of the target water is abnormal according to the received detection data of service communication module.The disclosure can densely dispose multiple detection devices in target water, and thus water quality monitoring server can carry out real-time monitoring using the detection data of multiple detection devices of dense deployment come the water quality to target water.
Description
Technical field
This disclosure relates to field of water quality detection more particularly to a kind of water quality monitoring system and method.
Background technique
In the related technology, for the target section of water quality to be monitored, by the way that one or more water are arranged in the target section
Quality supervision measured center website, and one or more water quality monitoring station equipment is disposed in each water quality monitoring central site, to this
Target section carries out water quality monitoring.
However, the above method possibly can not in time trace to the source to pollution.
Summary of the invention
In view of this, the present disclosure proposes a kind of water quality monitoring system and methods.
According to the one side of the disclosure, a kind of water quality monitoring system is provided, is supervised for the water quality to target water
It surveys, the water quality monitoring system includes multiple detection devices and water quality monitoring server,
Each detection device includes:
Spectrum sensor is detected for the water quality to the target water, and
Communication module is detected, for sending the detection data of the spectrum sensor to the water quality monitoring server,
Wherein, the spectrum sensor includes sensor array and detection module, and the sensor array comes for receiving
From the light of the water of the target water and the spectral information of the light is exported, the detection module is used to be based on the sensor array
Exported spectral information is arranged, the water quality of the target water is detected,
The water quality monitoring server includes:
Service communication module, for receiving detection data transmitted by the multiple detection device;And
Processing module, for determining the target water according to the received detection data of service communication module
Whether water quality is abnormal.
According to another aspect of the present disclosure, a kind of water quality monitoring method is provided, is carried out for the water quality to target water
Monitoring, the water quality monitoring method include:
Receive detection data transmitted by multiple detection devices;
According to the received detection data of institute, determine whether the water quality of the target water is abnormal.
The technical scheme provided by this disclosed embodiment can include the following benefits: can target water densely
Dispose multiple detection devices, thus water quality monitoring server can using the detection data of multiple detection devices of dense deployment come
Real-time monitoring is carried out to the water quality of target water.
According to below with reference to the accompanying drawings to detailed description of illustrative embodiments, the other feature and aspect of the disclosure will become
It is clear.
Detailed description of the invention
Comprising in the description and constituting the attached drawing of part of specification and specification together illustrates the disclosure
Exemplary embodiment, feature and aspect, and for explaining the principles of this disclosure.
Fig. 1 is a kind of block diagram of water quality monitoring system shown according to an exemplary embodiment.
Fig. 2 is the structural block diagram of detection device 110 shown according to an exemplary embodiment.
Fig. 3 is the structural block diagram of water quality monitoring server 120 shown according to an exemplary embodiment.
Fig. 4 is an a kind of exemplary structural block diagram of water quality monitoring system shown according to an exemplary embodiment.
Fig. 5 is the structural block diagram of unmanned plane 130 shown according to an exemplary embodiment.
Fig. 6 is the structural block diagram of monitoring device 150 shown according to an exemplary embodiment.
Fig. 7 is a kind of flow chart of water quality monitoring method shown according to an exemplary embodiment.
Specific embodiment
Various exemplary embodiments, feature and the aspect of the disclosure are described in detail below with reference to attached drawing.It is identical in attached drawing
Appended drawing reference indicate element functionally identical or similar.Although the various aspects of embodiment are shown in the attached drawings, remove
It non-specifically points out, it is not necessary to attached drawing drawn to scale.
Dedicated word " exemplary " means " being used as example, embodiment or illustrative " herein.Here as " exemplary "
Illustrated any embodiment should not necessarily be construed as preferred or advantageous over other embodiments.
In addition, giving numerous details in specific embodiment below to better illustrate the disclosure.
It will be appreciated by those skilled in the art that without certain details, the disclosure equally be can be implemented.In some instances, for
Method, means, element and circuit well known to those skilled in the art are not described in detail, in order to highlight the purport of the disclosure.
Fig. 1 is a kind of block diagram of water quality monitoring system shown according to an exemplary embodiment, which uses
It is monitored in the water quality to target water.In the present embodiment, target water is the waters of water quality to be monitored, such as certain geographical position
Set some section, lake, reservoir etc. at place.
As shown in Figure 1, the water quality monitoring system 100 may include detection device 110-1, detection device 110-2 ..., inspection
Survey this multiple detection device of device 110-n.N is greater than 2 integer.Detection device 110-1, detection device 110-2 ..., detection
Device 110-n is used equally for detecting the water quality of target water, and at interval of the predetermined time (for example, per second or every point
Clock) to water quality monitoring server 120 send target water water quality detection data.
The water quality monitoring system 100 can also include water quality monitoring server 120.Water quality monitoring server 120 is used for root
According to the received detection data of institute, determine whether detection data is abnormal, so that it is determined that whether target water pollutes.
Fig. 2 is the structural block diagram of detection device 110-1 shown according to an exemplary embodiment.As shown in Fig. 2, detection dress
Setting 110-1 may include spectrum sensor 111 and detection communication module 113.Spectrum sensor 111 is used for the water to target water
Matter is detected, and detection communication module 113 is used to send the detection data of spectrum sensor 111 to water quality monitoring server 120.
Spectrum sensor 111 can be quantum dot light spectrum sensor.Spectrum sensor 111 may include sensor array
1111 and detection module 1112.Sensor array 1111 is used to receive the light of the water from target water and exports the received light of institute
Spectral information.Detection module 1112 is used for the spectral information exported based on sensor array 1111, detects target water
Water quality.Spectrum is generated by light-matter interaction, and spectrum is substance " fingerprint ", can use spectrum to identify substance, from
And it can determine the chemical composition and relative amount of the substance.Therefore, it in the present embodiment, can be examined by spectrum sensor 111
Survey the water quality of target water.
The spectral information for the light that sensor array 1111 is exported be sensor array 1111 received light it is multiple not
The respective strength information of co-wavelength section.
Sensor array 1111 may include multiple semiconductor nanocrystals, the Yi Jiyu that can absorb the light of predetermined wavelength
The light-sensitive element that each semiconductor nanocrystal correspondingly configures.Illustratively, what multiple semiconductor nanocrystals can absorb is pre-
The long light of standing wave is different from each other, and light-sensitive element can provide difference response according to the varying strength of light, i.e., light-sensitive element can be examined
Survey the intensity of the light transmitted from corresponding semiconductor nanocrystal.
In the present embodiment, light of the semiconductor nanocrystal included by sensor array 1111 in response to different wave length.Show
Example property, it is assumed that sensor array 1111 includes the first semiconductor nanocrystal, the second semiconductor nanocrystal, third semiconductor
Nanocrystal and the 4th semiconductor nanocrystal, then, the first semiconductor nanocrystal in response to first wave length light, the second half
Conductor nanocrystal is in response to the light of second wave length, and in response to the light of third wavelength, the 4th half leads third semiconductor nanocrystal
Body nanocrystal is in response to the light of the 4th wavelength, and the light of first to fourth wavelength is different from each other.
Wherein, it can refer to that multiple semiconductor nanocrystals have peak response on it " in response to the light of a certain wavelength "
Wavelength.For example, can refer to that on absorption spectrum multiple semiconductor nanocrystals show the wavelength of characteristic band gap absorber feature.
In the present embodiment, by setting nanocrystal close to and/or in the active layer of sensor array 1111, nanometer
Crystal modulation incident light figure.Some or all incident photon can be absorbed by nanocrystal, and the absorption depending on nanocrystal is bent
The intensity curve of line and incident light, the nanocrystal with different absorption curves have different optical characteristics.
Nanocrystal layer in particular energy or on be absorbed into most of energy of nanocrystal, which depends on
The absorption curve and film thickness of nanocrystal.The effect of nanocrystal film is similar to optical filter, filters out incident light spectrum not
Same part.Therefore, sensor array 1111 can measure the different piece of spectrum.
In the present embodiment, the light-sensitive element accordingly configured with semiconductor nanocrystal can be according to the varying strength of incident light
Difference response is provided, light-sensitive element may include semiconductor nanocrystal light-sensitive element.The light that sensor array 1111 is exported
Spectral information is the intensity for the light transmitted from corresponding semiconductor nanocrystal that light-sensitive element detects.
In one implementation, semiconductor nanocrystal can be quantum dot, sensor array 1111 may include by
Multiple filters that quanta point material is formed, the transmission curve of the quanta point material of each filter are mutually different.
Quantum dot is a kind of very small nano material, and quantum dot is a kind of semiconductor, when quantum dot be produced it is non-
The color of normal hour, quantum dot change with the change in size of its material.That is, the size for changing quantum dot can
To change color, therefore, the quanta point material of different colours can be continuously obtained in very wide color gamut, thus logical
These quanta point materials are crossed distinguish between colors (also that is, spectrum).
Therefore, spectral information is obtained using grating compared to traditional, in the present embodiment, there is absorbability using to light
Can quanta point material obtain spectral information.The light of different wave length can be absorbed in different size of quantum dot, then by difference
The transmission curve for the different filters that quanta point material is formed is different, thus received light transmitted from different filters
Light intensity it is different.
In one implementation, being formed and quanta point material is coated on substrate and including filter
Quantum dot filter disc is configured in the light-receiving side of sensor array 1111.
In one implementation, sensor array 1111 can receive from the reactant reflection and/or transmission after reaction
Light, and export from after reaction reactant reflect light spectral information.
In the present embodiment, by the water and reactant reaction of target water;It is anti-after illumination from light source to be incident upon to reaction
Object is answered, so that light be made to interact with the reactant after reacting to generate spectrum.Light source can be set in detection device 110-1's
Outside or inside, and light source can be wide spectrum light source.Therefore, in the present embodiment, sensor array 1111 can detecte from
The spectral information of the light of reactant reflection and/or transmission after reaction.That is, sensor array 1111 can obtain light with react after
Reactant interact caused by reflected light and/or transmitted light spectral information.
In one implementation, sensor array 1111 can receive from the water of target water reflect and/or transmit
Light, and export the spectral information from the reflection of the water of target water and/or the light transmitted.
In the present embodiment, by the water of the light direct irradiation from light source to target water, to make light and target water
Matter interaction in water is to generate spectrum.Light source can be set in the outside or inside of detection device 110-1, and light source
It can be wide spectrum light source.
Therefore, in the present embodiment, sensor array 1111 can detecte from the water of target water reflect and/or transmit
The spectral information of light.That is, sensor array 1111 can obtain produced by the matter interaction in light and the water of target water
Reflected light and/or transmitted light spectral information.
Also, detection module 1112 can be based on the spectral information detection target water that sensor array 1111 is exported
Water quality.The water quality of target water may include the chemical composition and relative amount of the water of target water.Illustratively, target water
Water quality may include each ingredient and concentration in the water of target water, for example, target water water oxygen content.
Since the information of the water quality for detecting target water is the spectral information for containing more information, compared to
The information of water quality in the prior art for detecting target water is to contain less information such as RGB color information and base
In the less information come the water quality for detecting target water, the detection device 110-1 of the present embodiment can be to the water quality of target water
Carry out quantitative measurment.
Also, compared with the prior art, the detection device 110-1 of the present embodiment only pass through spectrum sensor 111 can
The water quality of target water is detected, thus the detection device 110-1 of the present embodiment compared with the prior art in water quality prison
Survey station equipment smallerization, lighter and price are lower.
Detection device 110-2 ..., the explanation of detection device 110-n can be refering to retouching previously for detection device 110-1
It states, details are not described herein.
In one implementation, spectrum sensor 111 can also include but is not limited to ultra-violet absorption spectrum sensor, can
Light-exposed absorption spectrum sensor, near-infrared absorption spectrum sensor, fluorescence spectrum sensor and Raman spectrum sensor etc..
In one possible implementation, multiple detection devices are deployed in target water in a manner of gridding layout.
In the present embodiment, the mode of gridding layout may include the group such as any one mode and these modes under type
It closes:
Mode one, in the same depth of target water at interval of predetermined kilometer dispose a detection device.
, can be in the same depth of target water to dispose detection device at equal intervals in the present embodiment, it can also be
Detection device is disposed with unequal interval in the same depth of target water.Therefore, between the adjacent detection device of any two
The milimeter number being spaced can between the adjacent detection device of other any two the milimeter number of institute's spacing it is identical.Certainly, appoint
Between the detection device that the milimeter number being spaced between two adjacent detection devices of anticipating can also be adjacent with other any two
The milimeter number of institute's spacing is different.
Mode two, in target water at interval of disposing detection device in predetermined depth.
In the present embodiment, detection device can be disposed with depth at equal intervals in target water, it can also in target water
Detection device is disposed with unequal interval depth.Therefore, the depth being spaced between the adjacent detection device of any two can be with
The depth of institute's spacing is identical between the adjacent detection device of other any two.Certainly, the adjacent detection device of any two
Between the depth that is spaced can also between the adjacent detection device of other any two the depth of institute's spacing it is different.
Mode three disposes a detection device at interval of predetermined kilometer at interval of in predetermined depth in target water.It should
Mode is the combination of aforesaid way one and mode two, specifically can be refering to the description previously for mode one and mode two, herein
It repeats no more.
It should be noted that those skilled in the art can according to the cost of water quality monitoring and the accuracy of water quality monitoring come
The numerical value of predetermined kilometer and predetermined depth and the mode of any selection gridding layout are arbitrarily set, and the present invention is to gridding
The value of the concrete mode of layout, predetermined depth and predetermined kilometer is not specifically limited.
In one possible implementation, method, linearly layout method, the sector of can also being layouted with concentric circles are layouted method, function
Can area's the methods of method of layouting multiple detection devices are disposed in target water.
As described above, the detection device of the present embodiment compared with the prior art in water quality monitoring station equipment smallerization,
Lighter and price is lower, therefore water quality detection system of the invention can more densely packed dispose multiple detection dresses in target water
It sets, and real-time monitoring can be carried out using multiple detection devices of dense deployment come the water quality to target water.
In one possible implementation, detection communication module 113 is each for sending to water quality monitoring server 120
The detection data of sensor included by detection device;Each detection device can also include temperature sensor (not shown), muddy
Turbidity transducer (not shown), pH value sensor (not shown), dissolved oxygen sensor (not shown), conductivity sensor (do not show
Out), particulate matter sensors (not shown), in pressure sensor (not shown) at least one of.
In the present embodiment, each detection device can be integrated with it is any in spectrum sensor 111 and the sensor
The device of one or more sensors, as a result, detection data of the detection data of each detection device in addition to spectrum sensor 110
It in addition, can also include the detection data of the above-mentioned each sensor integrated.
Fig. 3 is the structural block diagram of water quality monitoring server 120 shown according to an exemplary embodiment.As shown in figure 3, water
Matter monitoring server 120 may include service communication module 121 and processing module 123.Service communication module 121 is for receiving inspection
Detection data transmitted by communication module 113 is surveyed, processing module 123 is used for according to the received detection of 121 institutes of service communication module
Data, determine whether the water quality of target water is abnormal.
In one implementation, water quality monitoring server 120 can also include memory module (not shown), for storing
The received detection datas of the institute of service communication module 121, and processing module 123 can be by by current detection data and storage
The detection data that module is stored is compared, so that it is determined that whether current detection data is abnormal, to further determine that
Whether the water quality of target water is abnormal.
It, can be with if current detection data and the detection data that memory module is stored are inconsistent in the present embodiment
It is determined as current detection data to be abnormal, may thereby determine that and be abnormal for the water quality of target water.Correspondingly, if
Current detection data is consistent with the detection data that memory module is stored, then can be determined as current detection data and not send out
Raw abnormal, there is no exceptions for the water quality that may thereby determine that as target water.
In one implementation, water quality monitoring server 120 can be by by the received detection data of institute and a criterion numeral
It is compared according to each detection data in library, to determine, whether received detection data is abnormal, to further determine that mesh
Whether the water quality in mark waters is abnormal.
In the present embodiment, if received detection data and each detection data in standard database it is inconsistent, can
To be determined as, received detection data is abnormal, and be may thereby determine that and is abnormal for the water quality of target water.Correspondingly,
If received detection data it is consistent with each detection data in standard database, the received testing number of institute can be determined as
According to the water quality that there is no exception, may thereby determine that as target water, there is no exceptions.
In one implementation, water quality monitoring server 120 can according to the received detection data of institute and a pre-defined algorithm,
Determine whether the water quality of target water is abnormal.
In the present embodiment, water quality monitoring server 120 can be used pre-defined algorithm building training pattern or directly use
Existing training pattern carries out learning training to the received detection data of institute using training pattern, can be according to training result
It is no to be abnormal to determine whether detection data is abnormal, to further determine that whether the water quality of target water is abnormal.
It will be other if the training result that training pattern after certain detection data input training pattern is exported is different from
The training result that training pattern is exported after detection data input training pattern, then it is different can be determined as detection data generation
Often, it may thereby determine that and be abnormal for the water quality of target water.Correspondingly, if by certain detection data input training pattern it
The training result that training pattern is exported afterwards and the instruction for being exported training pattern after other detection datas input training pattern
It is identical to practice result, then can be determined as the detection data there is no exception, may thereby determine that and do not have for the water quality of target water
It is abnormal.
It should be noted that those skilled in the art can be any to select according to the common technical knowledge and actual needs grasped
It takes in the pre-defined algorithm of building training pattern, such as autoregression algorithm, autoregressive moving average algorithm, extreme learning machine algorithm
Deng, can also arbitrarily choose suitable training pattern, such as the training pattern of deep learning etc., the present embodiment to pre-defined algorithm and
Training pattern is not especially limited.
In one implementation, water quality monitoring server 120 can determine inspection according to the detection data at different location
Survey whether device breaks down.
It in the present embodiment, is deployed in target water to detection device comparatively dense, if the detection data of certain detection device
The detection data of all detection devices around the detection device is differed markedly from, then can be determined as the detection device and event occurs
Barrier, rather than target water is abnormal.
In one possible implementation, the feelings being abnormal in the water quality that processing module 123 is determined as target water
Under condition, water quality monitoring server 120 can by such as trigger alarm, to water quality monitoring system administrator terminal device
It sends alarm signal, alarm to the mode that the department of the processing waters exception of target water affiliated area sends alarm signal etc..
In one possible implementation, water quality monitoring server 120 can also include display (not shown), display
Device is displayed for the detection data of detection device real-time detection, such as can carry out proper treatment to detection data, thus
It shows the detection data of detection device real-time detection over the display in the form of curve, table etc., and is shown by display
The detection data shown, user can know to intuitive and convenient the detection data of the water quality of target water.
In the present embodiment, display can show abnormal detection in a manner of it can be different from normal detection data
Data, so that the user that is more convenient for has found the detection data of the exception in time, thereby, it is possible to take corresponding measure, example more in time
As remote control unmanned plane, unmanned boat, the equipment such as monitoring device to the waters at position corresponding to abnormal detection data into
Row cruise or the water for sampling and analyzing the waters, to accurately be traced to the source pollution in time.
In one possible implementation, each detection device can also include locating module (not shown), for true
The fixed detection device is in the position of target water, wherein the detection device is by detecting communication module 113 to water quality monitoring service
Device 120 sends position determined by locating module;Water quality monitoring server 120 receives the detection by service communication module 121
Position transmitted by device;Processing module 123 is also used in the case where the water quality for being determined as target water is abnormal, according to
Detection data used in being determined as being abnormal determines the concentration of pollutant He the pollutant, and will determine as being abnormal
Position corresponding to used detection data is determined as polluting position.
In the present embodiment, it can be carried out according to the detection device for being deployed in target water come the water quality to target water real-time
Detection, determines whether the waters around detection device pollutes according to the detection data of real-time detection, and examines determining
In the case that the waters surveyed around device is polluted, additionally it is possible to determine pollutant and pollution according to the detection data of real-time detection
Position traces to the source to pollution to realize.
Fig. 4 is an a kind of exemplary structural block diagram of water quality monitoring system shown according to an exemplary embodiment.Such as
Shown in Fig. 4, water quality monitoring system 200 may include detection device 110-1, detection device 110-2 ..., detection device 110-n,
Water quality monitoring server 120, unmanned plane 130, unmanned boat 140 and monitoring device 150.Detection device 110-1, detection device 110-
2 ..., the explanation of detection device 110-n and water quality monitoring server 120 can be refering to the description previously for Fig. 1, herein no longer
It repeats.
Water quality monitoring server 120 can also include control module (not shown), for being determined as mesh in processing module 123
In the case that the water quality in mark waters is abnormal, sent to unmanned plane 130 for pollution position by service communication module 121
The instruction that the waters at place is shot.
Fig. 5 is the structural block diagram of unmanned plane 130 shown according to an exemplary embodiment.As shown in figure 5, unmanned plane 130
It may include UAV Communication module 131 and shooting module 133.UAV Communication module 131 is for receiving water quality monitoring service
Above-mentioned instruction transmitted by device 120.Shooting module 133 is used in the case where UAV Communication module 131 receives the instruction,
Waters at pollution position is shot, to obtain the image in the waters at pollution position, wherein UAV Communication module
131 are also used to for the image to be sent to water quality monitoring server 120.
In the present embodiment, image captured by shooting module 133 can be picture, video, audio etc..Shooting module 133
It can be fixedly installed on the predetermined position of unmanned plane 130, optionally, shooting module 133 can also be in a manner of it can dismantle
It is installed on the predetermined position of unmanned plane 130.The pre- of unmanned plane 130 is installed in a manner of it can dismantle in shooting module 133
In the case that positioning is set, when the waters that 130 pairs of unmanned plane are polluted at position is cruised, shooting module 133 is installed on
On the predetermined position of unmanned plane 130, and when unmanned plane 130 terminates to cruise, the shooting mould installed on unmanned plane 130 can be dismantled
Block 133.
Processing module 123 is also used to the image according to captured by shooting module 133 and determines pollution sources.
In the present embodiment, unmanned plane 130 can will be captured at interval of the predetermined time by UAV Communication module 131
Image is sent to water quality monitoring server 120, and thus water quality monitoring server 120 gets captured image.Certainly, may be used
To complete to cruise in unmanned plane 130 and after making a return voyage, obtaining captured image by way of copying etc..
Unmanned boat 140 may include hull (not shown), airplane parking area (not shown) and charging unit (not shown).Airplane parking area
It is set on hull, and for stopping unmanned plane 130.Charging unit is set on hull, and for institute on airplane parking area
The unmanned plane 130 of stop charges.
In the present embodiment, since the cruise time of unmanned plane 130 is short, rested on unmanned boat 140 in unmanned plane 130
In the case where, unmanned plane 130 can be connected to the charging interface of charging unit, thus charge to unmanned plane 130, thus
Extend the cruise time of unmanned plane 130.
Water quality monitoring server 120 can also include control module (not shown), for being determined as mesh in processing module 123
In the case that the water quality in mark waters is abnormal, sent to monitoring device 150 for pollution position by service communication module 121
The instruction that the water in the waters at the place of setting is acquired and analyzes.
Fig. 6 is the structural block diagram of monitoring device 150 shown according to an exemplary embodiment.As shown in fig. 6, monitoring device
150 may include acquisition module 151, analysis module 152 and monitoring communication module 153.Monitoring communication module 153 is for receiving water
Instruction transmitted by matter monitoring server 120.Acquisition module 151 is used to acquire the water in the waters at pollution position.Analysis module
152 for analyzing water collected.Monitoring communication module 153 be also used to by analysis module 152 to water collected into
Analysis data after row analysis are sent to water quality monitoring server 120.
Processing module 123 is also used to determine pollution sources according to the received analysis data of institute.
In the present embodiment, monitoring device 150 can be transported at pollution position by unmanned boat 140, to pollution position
The water in the waters at place is acquired and analyzes.
In the present embodiment, in the case where determining that the waters around detection device 110 is polluted, according to real-time detection
Detection data delimit fuzzy Polluted area when finding pollution, in conjunction with image and/or prison from unmanned plane 130 as early as possible
The analysis data of measurement equipment 150, are accurately traced to the source in the Polluted area of delimitation, and thereby, it is possible to realize as soon as possible to dirt
Dye is traced to the source.
Fig. 7 is a kind of flow chart of water quality monitoring method shown according to an exemplary embodiment.The water quality monitoring method
It is monitored for the water quality to target water, this method can be applied to the water quality monitoring system 100/ in above-described embodiment
200 and water quality monitoring server 120.As shown in fig. 7, the water quality monitoring method may include steps of.
In step S710, detection data transmitted by multiple above-mentioned detection devices 110 is received.
In step S730, according to the received detection data of institute, determine whether the water quality of target water is abnormal.
In one possible implementation, above-mentioned water quality monitoring method can also include:
In the case where the water quality for being determined as target water is abnormal, send to unmanned plane 130 for pollution position
The instruction that the waters at place is shot;
Receive the image in the waters at pollution position transmitted by unmanned plane;
Pollution sources are determined according to the received image of institute.
In one possible implementation, above-mentioned water quality monitoring method can also include:
In the case where the water quality for being determined as target water is abnormal, send to monitoring device 150 for pollution position
The instruction that the water in the waters at the place of setting is acquired and analyzes;
Receive the analysis data of water collected transmitted by monitoring device;
Pollution sources are determined according to the received analysis data of institute.
About the method in above-described embodiment, wherein the concrete mode of each step is in the embodiment in relation to device
It is described in detail, no detailed explanation will be given here.
The disclosure can be system, method and/or computer program product.Computer program product may include computer
Readable storage medium storing program for executing, containing for making processor realize the computer-readable program instructions of various aspects of the disclosure.
Computer readable storage medium, which can be, can keep and store the tangible of the instruction used by instruction execution equipment
Equipment.Computer readable storage medium for example can be-- but it is not limited to-- storage device electric, magnetic storage apparatus, optical storage
Equipment, electric magnetic storage apparatus, semiconductor memory apparatus or above-mentioned any appropriate combination.Computer readable storage medium
More specific example (non exhaustive list) includes: portable computer diskette, hard disk, random access memory (RAM), read-only deposits
It is reservoir (ROM), erasable programmable read only memory (EPROM or flash memory), static random access memory (SRAM), portable
Compact disk read-only memory (CD-ROM), digital versatile disc (DVD), memory stick, floppy disk, mechanical coding equipment, for example thereon
It is stored with punch card or groove internal projection structure and the above-mentioned any appropriate combination of instruction.Calculating used herein above
Machine readable storage medium storing program for executing is not interpreted that instantaneous signal itself, the electromagnetic wave of such as radio wave or other Free propagations lead to
It crosses the electromagnetic wave (for example, the light pulse for passing through fiber optic cables) of waveguide or the propagation of other transmission mediums or is transmitted by electric wire
Electric signal.
Computer-readable program instructions as described herein can be downloaded to from computer readable storage medium it is each calculate/
Processing equipment, or outer computer or outer is downloaded to by network, such as internet, local area network, wide area network and/or wireless network
Portion stores equipment.Network may include copper transmission cable, optical fiber transmission, wireless transmission, router, firewall, interchanger, gateway
Computer and/or Edge Server.Adapter or network interface in each calculating/processing equipment are received from network to be counted
Calculation machine readable program instructions, and the computer-readable program instructions are forwarded, for the meter being stored in each calculating/processing equipment
In calculation machine readable storage medium storing program for executing.
Computer program instructions for executing disclosure operation can be assembly instruction, instruction set architecture (ISA) instructs,
Machine instruction, machine-dependent instructions, microcode, firmware instructions, condition setup data or with one or more programming languages
The source code or object code that any combination is write, the programming language include the programming language-of object-oriented such as
Smalltalk, C++ etc., and conventional procedural programming languages-such as " C " language or similar programming language.Computer
Readable program instructions can be executed fully on the user computer, partly execute on the user computer, be only as one
Vertical software package executes, part executes on the remote computer or completely in remote computer on the user computer for part
Or it is executed on server.In situations involving remote computers, remote computer can pass through network-packet of any kind
It includes local area network (LAN) or wide area network (WAN)-is connected to subscriber computer, or, it may be connected to outer computer (such as benefit
It is connected with ISP by internet).In some embodiments, by utilizing computer-readable program instructions
Status information carry out personalized customization electronic circuit, such as programmable logic circuit, field programmable gate array (FPGA) or can
Programmed logic array (PLA) (PLA), the electronic circuit can execute computer-readable program instructions, to realize each side of the disclosure
Face.
Referring herein to according to the flow chart of the method, apparatus (system) of the embodiment of the present disclosure and computer program product and/
Or block diagram describes various aspects of the disclosure.It should be appreciated that flowchart and or block diagram each box and flow chart and/
Or in block diagram each box combination, can be realized by computer-readable program instructions.
These computer-readable program instructions can be supplied to general purpose computer, special purpose computer or other programmable datas
The processor of processing unit, so that a kind of machine is produced, so that these instructions are passing through computer or other programmable datas
When the processor of processing unit executes, function specified in one or more boxes in implementation flow chart and/or block diagram is produced
The device of energy/movement.These computer-readable program instructions can also be stored in a computer-readable storage medium, these refer to
It enables so that computer, programmable data processing unit and/or other equipment work in a specific way, thus, it is stored with instruction
Computer-readable medium then includes a manufacture comprising in one or more boxes in implementation flow chart and/or block diagram
The instruction of the various aspects of defined function action.
Computer-readable program instructions can also be loaded into computer, other programmable data processing units or other
In equipment, so that series of operation steps are executed in computer, other programmable data processing units or other equipment, to produce
Raw computer implemented process, so that executed in computer, other programmable data processing units or other equipment
Instruct function action specified in one or more boxes in implementation flow chart and/or block diagram.
The flow chart and block diagram in the drawings show system, method and the computer journeys according to multiple embodiments of the disclosure
The architecture, function and operation in the cards of sequence product.In this regard, each box in flowchart or block diagram can generation
One module of table, program segment or a part of instruction, the module, program segment or a part of instruction include one or more use
The executable instruction of the logic function as defined in realizing.In some implementations as replacements, function marked in the box
It can occur in a different order than that indicated in the drawings.For example, two continuous boxes can actually be held substantially in parallel
Row, they can also be executed in the opposite order sometimes, and this depends on the function involved.It is also noted that block diagram and/or
The combination of each box in flow chart and the box in block diagram and or flow chart, can the function as defined in executing or dynamic
The dedicated hardware based system made is realized, or can be realized using a combination of dedicated hardware and computer instructions.
The presently disclosed embodiments is described above, above description is exemplary, and non-exclusive, and
It is not limited to disclosed each embodiment.Without departing from the scope and spirit of illustrated each embodiment, for this skill
Many modifications and changes are obvious for the those of ordinary skill in art field.The selection of term used herein, purport
In the principle, practical application or technological improvement to the technology in market for best explaining each embodiment, or lead this technology
Other those of ordinary skill in domain can understand each embodiment disclosed herein.
Claims (11)
1. a kind of water quality monitoring system is monitored for the water quality to target water, the water quality monitoring system includes multiple
Detection device and water quality monitoring server, which is characterized in that
Each detection device includes:
Spectrum sensor is detected for the water quality to the target water;And
Communication module is detected, for sending the detection data of the spectrum sensor to the water quality monitoring server,
Wherein, the spectrum sensor includes sensor array and detection module, and the sensor array comes from institute for receiving
It states the light of the water of target water and exports the spectral information of the light, the detection module is used to be based on the sensor array institute
The spectral information of output detects the water quality of the target water,
The water quality monitoring server includes:
Service communication module, for receiving detection data transmitted by the multiple detection device;And
Processing module, for determining the water quality of the target water according to the received detection data of service communication module
Whether it is abnormal.
2. water quality monitoring system according to claim 1, which is characterized in that
Each detection device further include: locating module, for determining each detection device in the target water
Position,
Wherein, each detection device sends the positioning to the water quality monitoring server by the detection communication module
Position determined by module;
The water quality monitoring server receives position transmitted by each detection device by the service communication module;
The processing module is also used in the case where the water quality for being determined as the target water is abnormal, according to being determined as sending out
Raw abnormal used detection data determines the concentration of pollutant and the pollutant, and will determine as being abnormal and be used
Detection data corresponding to position be determined as pollute position.
3. water quality monitoring system according to claim 2, which is characterized in that the water quality monitoring system further includes for nobody
Machine,
Wherein, the water quality monitoring server further include:
Control module passes through the communication for service in the case where for being abnormal in the water quality for being determined as the target water
Module sends the instruction for being shot to the waters at the pollution position to the unmanned plane,
The unmanned plane includes:
UAV Communication module, for receiving instruction transmitted by the water quality monitoring server;And
Shooting module, in the case where the UAV Communication module receives the instruction, at the pollution position
Waters shot, thus obtain it is described pollution position at waters image,
The UAV Communication module is also used to send acquired image to the water quality monitoring system,
The processing module is also used to determine pollution sources according to the received image of institute.
4. water quality monitoring system according to claim 3, which is characterized in that the water quality monitoring system further includes for nobody
Ship,
The unmanned boat includes:
Hull;
Airplane parking area is set on the hull, and for stopping the unmanned plane;And
Charging unit is set on the hull, and for charging to the unmanned plane stopped on the airplane parking area.
5. water quality monitoring system according to any one of claim 2 to 4, which is characterized in that the water quality monitoring system
It further include monitoring device,
Wherein, the water quality monitoring server further include:
Control module passes through the communication for service in the case where for being abnormal in the water quality for being determined as the target water
Module sends the instruction for being acquired and analyzing for the water to the waters at the pollution position to the monitoring device,
The monitoring device includes:
Communication module is monitored, for receiving instruction transmitted by the water quality monitoring server;
Acquisition module, for acquiring the water in the waters at the pollution position;And
Analysis module, for analyzing water collected,
The monitoring communication module is also used to send the analysis data of water collected to the water quality monitoring server,
The processing module is also used to determine pollution sources according to the received analysis data of institute.
6. water quality monitoring system according to any one of claim 1 to 4, which is characterized in that
The multiple detection device is deployed in the target water in such a way that gridding is laid out.
7. water quality monitoring system according to claim 6, which is characterized in that
The mode of the gridding layout includes: to dispose one at interval of predetermined kilometer in the same depth of the target water
The mode of detection device and/or in the target water at interval of the mode for disposing detection device in predetermined depth.
8. water quality monitoring system described in any one of according to claim 1 to 4 and 7, which is characterized in that
Each detection device further includes temperature sensor, turbidity sensor, pH value sensor, dissolved oxygen sensor, electricity
Conductivity sensor, particulate matter sensors, in pressure sensor at least one of,
The water quality monitoring server receives the detection data of each sensor transmitted by each detection device.
9. a kind of water quality monitoring method is monitored for the water quality to target water, which is characterized in that the water quality monitoring side
Method includes:
Receive detection data transmitted by multiple detection devices according to any one of claim 1 to 8;
According to the received detection data of institute, determine whether the water quality of the target water is abnormal.
10. water quality monitoring method according to claim 9, which is characterized in that the water quality monitoring method further include:
In the case where the water quality for being determined as the target water is abnormal, to according to any one of claim 3 to 8
Unmanned plane send for the instruction that is shot of waters at pollution position;
Receive the image in the waters at the pollution position transmitted by the unmanned plane;
Pollution sources are determined according to the received image of institute.
11. water quality monitoring method according to claim 9 or 10, which is characterized in that the water quality monitoring method further include:
In the case where the water quality for being determined as the target water is abnormal, to according to any one of claim 5 to 8
Monitoring device send for the water instruction that is acquired and analyzes to the waters at pollution position;
Receive the analysis data of water collected transmitted by the monitoring device;
Pollution sources are determined according to the received analysis data of institute.
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Cited By (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111049924A (en) * | 2019-12-20 | 2020-04-21 | 贵州创为联合农业科技有限公司 | Goose raising water quality monitoring system |
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Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105300909A (en) * | 2015-12-02 | 2016-02-03 | 重庆大学 | Direct power-spectral method-based all-weather long drainage basin water quality monitoring and early-warning system |
CN105897765A (en) * | 2016-06-16 | 2016-08-24 | 武克易 | Intelligent monitoring system for sulfide in drinking water |
CN205941081U (en) * | 2016-08-20 | 2017-02-08 | 福建省恒创环保科技有限公司 | Automatic sampling device of long -range quality of water |
CN106971146A (en) * | 2017-03-03 | 2017-07-21 | 环境保护部卫星环境应用中心 | Based on the three abnormal remote sensing dynamic monitoring and controlling methods of the water body for looking into technology, device and system |
CN107097955A (en) * | 2017-06-21 | 2017-08-29 | 无锡同春新能源科技有限公司 | The unmanned plane of the water quality for the monitoring river that river length is used |
CN207992045U (en) * | 2018-01-25 | 2018-10-19 | 芯视界(北京)科技有限公司 | Water quality monitoring system |
-
2018
- 2018-01-25 CN CN201810074316.3A patent/CN110082295A/en active Pending
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105300909A (en) * | 2015-12-02 | 2016-02-03 | 重庆大学 | Direct power-spectral method-based all-weather long drainage basin water quality monitoring and early-warning system |
CN105897765A (en) * | 2016-06-16 | 2016-08-24 | 武克易 | Intelligent monitoring system for sulfide in drinking water |
CN205941081U (en) * | 2016-08-20 | 2017-02-08 | 福建省恒创环保科技有限公司 | Automatic sampling device of long -range quality of water |
CN106971146A (en) * | 2017-03-03 | 2017-07-21 | 环境保护部卫星环境应用中心 | Based on the three abnormal remote sensing dynamic monitoring and controlling methods of the water body for looking into technology, device and system |
CN107097955A (en) * | 2017-06-21 | 2017-08-29 | 无锡同春新能源科技有限公司 | The unmanned plane of the water quality for the monitoring river that river length is used |
CN207992045U (en) * | 2018-01-25 | 2018-10-19 | 芯视界(北京)科技有限公司 | Water quality monitoring system |
Non-Patent Citations (6)
Title |
---|
任华堂 著: "水环境数值模型导论", 31 March 2016, 海洋出版社, pages: 6 - 9 * |
吴何珍 著: "纳米技术与环境保护", 31 July 2013, 合肥工业大学出版社, pages: 131 * |
明道绪 主编: "高级生物统计", 30 September 2006, 中国农业出版社, pages: 288 - 294 * |
赵由才 主编: "环境工程化学", 31 July 2003, 化学工业出版社, pages: 595 - 599 * |
路文海 主编: "海洋环境监测数据信息管理技术与实践", 30 November 2013, 海洋出版社, pages: 87 - 92 * |
陈鸿起 等编著: "水安全保证系统的研究与实现", 31 March 2007, 广西人民出版社, pages: 213 - 223 * |
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