CN114813649B - Water supply network water quality online intelligent analysis method and device - Google Patents
Water supply network water quality online intelligent analysis method and device Download PDFInfo
- Publication number
- CN114813649B CN114813649B CN202210611157.2A CN202210611157A CN114813649B CN 114813649 B CN114813649 B CN 114813649B CN 202210611157 A CN202210611157 A CN 202210611157A CN 114813649 B CN114813649 B CN 114813649B
- Authority
- CN
- China
- Prior art keywords
- water
- water quality
- monitoring data
- early warning
- monitoring point
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 title claims abstract description 536
- 238000004458 analytical method Methods 0.000 title claims abstract description 107
- 238000012544 monitoring process Methods 0.000 claims abstract description 296
- 239000000645 desinfectant Substances 0.000 claims abstract description 92
- 238000004891 communication Methods 0.000 claims abstract description 57
- 238000000034 method Methods 0.000 claims abstract description 42
- 239000013618 particulate matter Substances 0.000 claims description 25
- 230000008859 change Effects 0.000 claims description 16
- 238000003911 water pollution Methods 0.000 claims description 15
- 238000011144 upstream manufacturing Methods 0.000 claims description 12
- 244000005700 microbiome Species 0.000 claims description 11
- 239000002245 particle Substances 0.000 claims description 10
- 230000001186 cumulative effect Effects 0.000 claims description 6
- 238000002798 spectrophotometry method Methods 0.000 claims description 6
- 201000009310 astigmatism Diseases 0.000 claims description 5
- 230000014759 maintenance of location Effects 0.000 claims description 5
- ZAMOUSCENKQFHK-UHFFFAOYSA-N Chlorine atom Chemical compound [Cl] ZAMOUSCENKQFHK-UHFFFAOYSA-N 0.000 description 19
- 239000000460 chlorine Substances 0.000 description 19
- 229910052801 chlorine Inorganic materials 0.000 description 19
- 238000005070 sampling Methods 0.000 description 15
- 238000010586 diagram Methods 0.000 description 8
- 238000004140 cleaning Methods 0.000 description 7
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 description 6
- 239000001301 oxygen Substances 0.000 description 6
- 229910052760 oxygen Inorganic materials 0.000 description 6
- 230000008569 process Effects 0.000 description 6
- 239000003651 drinking water Substances 0.000 description 5
- 235000020188 drinking water Nutrition 0.000 description 5
- 230000033116 oxidation-reduction process Effects 0.000 description 5
- 239000007787 solid Substances 0.000 description 5
- 230000005540 biological transmission Effects 0.000 description 4
- 238000011156 evaluation Methods 0.000 description 4
- 238000012806 monitoring device Methods 0.000 description 4
- 238000003860 storage Methods 0.000 description 4
- 239000000203 mixture Substances 0.000 description 3
- 231100000167 toxic agent Toxicity 0.000 description 3
- 239000003440 toxic substance Substances 0.000 description 3
- 230000003111 delayed effect Effects 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 230000006866 deterioration Effects 0.000 description 2
- 238000003745 diagnosis Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000012854 evaluation process Methods 0.000 description 2
- 238000011010 flushing procedure Methods 0.000 description 2
- 238000009472 formulation Methods 0.000 description 2
- 230000006872 improvement Effects 0.000 description 2
- 238000009533 lab test Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000000087 stabilizing effect Effects 0.000 description 2
- 239000006227 byproduct Substances 0.000 description 1
- 238000011109 contamination Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 238000000265 homogenisation Methods 0.000 description 1
- 238000011065 in-situ storage Methods 0.000 description 1
- 238000002347 injection Methods 0.000 description 1
- 239000007924 injection Substances 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000000691 measurement method Methods 0.000 description 1
- 230000002906 microbiologic effect Effects 0.000 description 1
- 239000008239 natural water Substances 0.000 description 1
- 238000012502 risk assessment Methods 0.000 description 1
- 238000004659 sterilization and disinfection Methods 0.000 description 1
- 239000008399 tap water Substances 0.000 description 1
- 235000020679 tap water Nutrition 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 238000005406 washing Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- 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
- G01N21/47—Scattering, i.e. diffuse reflection
- G01N21/49—Scattering, i.e. diffuse reflection within a body or fluid
- G01N21/53—Scattering, i.e. diffuse reflection within a body or fluid within a flowing fluid, e.g. smoke
-
- G—PHYSICS
- G01—MEASURING; TESTING
- 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
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A20/00—Water conservation; Efficient water supply; Efficient water use
- Y02A20/20—Controlling water pollution; Waste water treatment
Landscapes
- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Investigating Or Analyzing Materials By The Use Of Electric Means (AREA)
Abstract
The present disclosure provides an online intelligent analysis method and device for water quality of a water supply pipe network, which can be applied to the technical field of water quality analysis, and the method comprises: receiving flow data transmitted at regular time by a remote flowmeter arranged at a first monitoring point by using a remote communication unit; acquiring first water quality monitoring data in a water supply network at a first monitoring point in a preset time period from a water quality analysis unit by utilizing an electrical control unit through identifying flow data under the condition that the flow data in the continuous preset time period are zero, wherein the first water quality monitoring data comprises turbidity monitoring data and disinfectant monitoring data; calculating the release rate of the particulate matters and the decay rate of the disinfectant in the inner pipe section in a continuous preset time period by using an electrical control unit according to the turbidity monitoring data and the disinfectant monitoring data; under the condition that the release rate of particulate matters in the pipe section and/or the attenuation rate of the disinfectant meet preset conditions, the early warning information is displayed through the display unit, and the early warning information is sent to the mobile terminal through the remote communication unit.
Description
Technical Field
The disclosure relates to the technical field of water quality analysis, in particular to an online intelligent analysis method and device for water quality of a water supply pipe network.
Background
In daily life, the quality of drinking water needs to be monitored, so that the safety of the drinking water is ensured when the drinking water is used. When water pollution occurs in a water source switching area of the water supply pipe network, water samples and pipe scales are generally manually collected at the tail end of the water supply pipe network, and after laboratory test analysis, the water quality stability and pollution risk of the water supply pipe network are evaluated.
Prior to the realization of the present disclosure, at least the following problems have been found in the related art: the manual sampling and analysis and evaluation process is time-consuming and labor-consuming, and the evaluation result has uncertainty. For example, manual sampling is generally delayed, and the collected water sample is generally unable to represent the water quality when the water quality deteriorates; the collected pipe scale is limited in quantity, and the stability evaluation result is poor in representativeness; the difficulty of the pipe digging operation in the actual work is high, and the pipe replacement process may cause the re-damage of the water supply pipe network, resulting in further deterioration of water quality.
Disclosure of Invention
In view of the above, the present disclosure provides an online intelligent analysis method and device for water quality of a water supply pipe network.
One aspect of the disclosure provides an online intelligent analysis method for water quality of a water supply pipe network, which includes:
Receiving flow data transmitted at regular time by a remote flowmeter arranged at a first monitoring point by using a remote communication unit;
The method comprises the steps that an electrical control unit is utilized to identify flow data, under the condition that the flow data in a continuous preset time period are zero, first water quality monitoring data in a water supply network at a first monitoring point in the preset time period are obtained from a water quality analysis unit, wherein the first water quality monitoring data comprise turbidity monitoring data and disinfectant monitoring data, the turbidity monitoring data are obtained by detecting a water sample to be detected through an astigmatism method by utilizing the water quality analysis unit, the disinfectant monitoring data are obtained by detecting the water sample to be detected through a visible spectrophotometry by utilizing the water quality analysis unit, and the water sample to be detected is collected at the first monitoring point by an acquisition unit according to a first acquisition frequency set by the electrical control unit;
Calculating the release rate of the particulate matters and the decay rate of the disinfectant in the inner pipe section in a continuous preset time period by using an electrical control unit according to the turbidity monitoring data and the disinfectant monitoring data;
Under the condition that the release rate of particulate matters in the pipe section and/or the attenuation rate of the disinfectant meet preset conditions, the early warning information is displayed through the display unit, and the early warning information is sent to the mobile terminal through the remote communication unit.
According to the embodiment of the disclosure, when the release rate of particulate matters in the pipe section and/or the attenuation rate of disinfectant meet preset conditions, the early warning information is displayed through the display screen, and the early warning information is sent to the mobile terminal through the remote communication unit, and the method comprises the following steps:
Under the condition that the release rate of particulate matters in the pipe section is larger than a first preset threshold value and the attenuation rate of the disinfectant is smaller than a second preset threshold value, displaying first early warning information through a display screen, and sending the first early warning information to a mobile terminal through a remote communication unit, wherein the first early warning information comprises particulate matter early warning information;
Under the condition that the release rate of particulate matters in the pipe section is smaller than a first preset threshold value and the attenuation rate of disinfectant is larger than a second preset threshold value, displaying second early warning information through a display screen, and sending the second early warning information to a mobile terminal through a remote communication unit, wherein the second early warning information comprises microorganism early warning information;
And under the condition that the release rate of particulate matters in the pipe section is greater than a first preset threshold value and the decay rate of the disinfectant is greater than a second preset threshold value, displaying third early warning information through a display screen, and sending the third early warning information to the mobile terminal through a remote communication unit, wherein the third early warning information comprises particulate matter early warning information and microorganism early warning information.
According to an embodiment of the present disclosure, the above method further includes:
collecting a first water sample to be detected from a water supply pipe network of a first monitoring point by utilizing a collecting unit according to a first collecting frequency set by an electrical control unit;
Detecting a first water sample to be detected by using a water quality analysis unit to obtain second water quality monitoring data;
Under the condition that the second water quality monitoring data is larger than a third preset threshold value, sending first frequency changing information to the acquisition unit through the electric control unit, wherein the first frequency changing information comprises a second acquisition frequency;
Acquiring third water quality monitoring data of a second monitoring point from a water quality online analysis device arranged at the second monitoring point by using an electrical control unit, wherein the second monitoring point is arranged at the upstream of the first monitoring point;
And determining a pipe section of the water pollution according to the third water quality monitoring data.
According to an embodiment of the present disclosure, wherein acquiring, with the electrical control unit, third water quality monitoring data of the second monitoring point from the water quality online analysis device provided at the second monitoring point includes:
Determining a target tracing time length by using the electric control unit according to the average hydraulic retention time length between the first monitoring point and the second monitoring point;
and acquiring third water quality monitoring data of the second monitoring point in the target tracing time from the water quality online analysis device arranged at the second monitoring point.
According to an embodiment of the present disclosure, wherein determining a pipe section interval of water pollution according to third water quality monitoring data includes:
And determining a pipe section interval between the first monitoring point and the second monitoring point as a target pipe section interval by utilizing the electric control unit under the condition that the water quality monitoring data of the water supply pipe network at the second monitoring point is larger than a third preset threshold value.
According to an embodiment of the present disclosure, the above method further includes:
Collecting a second water sample to be detected of the water supply network of the first monitoring point by using the collecting unit according to the second collecting frequency;
Detecting the second water sample to be detected by using a water quality analysis unit to obtain fourth water quality monitoring data;
When the fourth water quality monitoring data is smaller than a third preset threshold value, sending second frequency changing information to the acquisition unit through the electric control unit, wherein the second frequency changing information comprises the first acquisition frequency;
and collecting a third water sample to be detected of the water supply network at the first monitoring point by using the collecting unit according to the first collecting frequency.
According to an embodiment of the present disclosure, the above method further includes:
recording a first time and a second time by using the electric control unit, wherein the first time represents the time of sending the first frequency change information to the acquisition unit, and the second time represents the time of sending the second frequency change information to the acquisition unit;
Determining a time interval of polluted water in the section of the target pipe according to the first time and the second time;
Determining the accumulated water consumption of the target pipe section in the time interval according to the time interval;
the cumulative water usage is determined as the contaminated water amount.
According to an embodiment of the present disclosure, determining, according to a time interval, an accumulated water consumption of a target pipe segment interval in the time interval includes:
Acquiring first water quantity and second water quantity from a remote flowmeter in a target pipe section area through a remote communication unit, wherein the first water quantity represents first flow data recorded by the remote flowmeter at a first time, and the second water quantity represents second flow data recorded by the remote flowmeter at a second time;
and determining the accumulated water consumption according to the first flow data and the second flow data.
Another aspect of the present disclosure provides an online intelligent analysis device for water quality of a water supply pipe network, including:
The acquisition unit is used for acquiring a water sample to be detected at a first monitoring point according to the first acquisition frequency set by the electrical control unit;
the water quality analysis unit is connected with the acquisition unit and used for detecting a water sample to be detected, which is arranged at the water supply pipe network of the first monitoring point, so as to obtain water quality monitoring data;
the remote communication unit is connected with the electrical control unit and is used for receiving flow data of the remote flowmeter and sending early warning information to the mobile terminal;
The electric control unit is connected with the water quality analysis unit and is used for identifying flow data, and acquiring first water quality monitoring data in a water supply pipe network at a first monitoring point in a preset time period from the water quality analysis unit under the condition that the flow data in the continuous preset time period are zero, wherein the first water quality monitoring data comprise turbidity monitoring data and disinfectant monitoring data; calculating the release rate of the particulate matters and the decay rate of the disinfectant in the inner pipe section in a continuous preset time period according to the turbidity monitoring data and the disinfectant monitoring data;
And the display unit is used for displaying early warning information under the condition that the release rate of the particulate matters in the pipe section and/or the attenuation rate of the disinfectant meet preset conditions.
According to an embodiment of the present disclosure, wherein:
The electric control unit is connected with the acquisition unit and is used for changing the acquisition frequency of the acquisition unit into a second acquisition frequency under the condition that the second water quality monitoring data is larger than a third preset threshold value and changing the acquisition frequency of the acquisition unit into a first acquisition frequency under the condition that the second water quality monitoring data is smaller than the third preset threshold value; and
The electric control unit is connected with the remote communication unit and is used for acquiring third water quality monitoring data of a second monitoring point from the water quality online analysis device arranged at the second monitoring point through the remote communication unit, wherein the second monitoring point is arranged at the upstream of the first monitoring point; and determining a pipe section of the water body pollution and the polluted water amount according to the third water quality monitoring data.
According to the embodiment of the disclosure, the remote communication unit is used for receiving flow data sent by the remote flowmeter arranged at the first monitoring point at fixed time, then the electric control unit is used for displaying early warning information through the display unit under the condition that the flow data in the continuous preset time period are zero, the electric control unit is used for acquiring first water quality monitoring data in the water supply pipe network of the first monitoring point in the preset time period from the water quality analysis unit, wherein the first water quality monitoring data comprise turbidity monitoring data and disinfectant monitoring data, the electric control unit is used for calculating the particulate matter release rate and the disinfectant decay rate of the inner pipe section in the continuous preset time period according to the turbidity monitoring data and the disinfectant monitoring data, then the early warning information is displayed through the display unit under the condition that the particulate matter release rate and/or the disinfectant decay rate of the pipe section meet preset conditions, and the early warning information is sent to the mobile terminal through the remote communication unit, so that the remote communication unit can timely analyze the flow data of the remote flowmeter of the remote communication unit receiving the first monitoring point, and accordingly the first water quality monitoring data are obtained, the particulate matter release rate and the disinfectant decay rate of the pipe section are analyzed according to analysis result display early warning information, and the real-time risk is accurately assessed through the display of the real-time communication and the real-time information is at least partially achieved.
Drawings
FIG. 1 schematically illustrates a flow chart of an on-line intelligent analysis method for water quality of a water supply network according to an embodiment of the disclosure;
FIG. 2 schematically illustrates a flow chart of a method for intelligent online analysis of water quality of a water supply network according to yet another embodiment of the disclosure;
FIG. 3 schematically illustrates a flow chart of a method for intelligent online analysis of water quality of a water supply network according to yet another embodiment of the disclosure;
FIG. 4 schematically illustrates a block diagram of an on-line intelligent analysis device for water quality of a water supply network in accordance with an embodiment of the present disclosure;
FIG. 5A schematically illustrates a block diagram of one direction of a water supply network water quality online intelligent analysis device according to an embodiment of the present disclosure;
FIG. 5B schematically illustrates a block diagram of another aspect of an on-line intelligent analysis device for water quality of a water supply network in accordance with an embodiment of the present disclosure;
FIG. 6 schematically illustrates a block diagram of a sample pan of a collection unit of an on-line intelligent analysis device for water quality of a water supply network according to an embodiment of the present disclosure;
FIG. 7 schematically illustrates water quality monitoring data obtained by an on-line intelligent analysis method for water quality of a water supply network according to an embodiment of the present disclosure; and
Fig. 8 schematically illustrates a release rate of particulate matter and a decay rate of disinfectant in a water pipe section when an online intelligent analysis method of water quality of the water pipe network monitors that water pollution occurs in an X cell according to an embodiment of the present disclosure.
Detailed Description
Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. It should be understood that the description is only exemplary and is not intended to limit the scope of the present disclosure. In the following detailed description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of the present disclosure. It may be evident, however, that one or more embodiments may be practiced without these specific details. In addition, in the following description, descriptions of well-known structures and techniques are omitted so as not to unnecessarily obscure the concepts of the present disclosure.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. The terms "comprises," "comprising," and/or the like, as used herein, specify the presence of stated features, steps, operations, and/or components, but do not preclude the presence or addition of one or more other features, steps, operations, or components.
All terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art unless otherwise defined. It should be noted that the terms used herein should be construed to have meanings consistent with the context of the present specification and should not be construed in an idealized or overly formal manner.
Where a convention analogous to "at least one of A, B and C, etc." is used, in general such a convention should be interpreted in accordance with the meaning of one of skill in the art having generally understood the convention (e.g., "a system having at least one of A, B and C" would include, but not be limited to, systems having a alone, B alone, C alone, a and B together, a and C together, B and C together, and/or A, B, C together, etc.). Where a formulation similar to at least one of "A, B or C, etc." is used, in general such a formulation should be interpreted in accordance with the ordinary understanding of one skilled in the art (e.g. "a system with at least one of A, B or C" would include but not be limited to systems with a alone, B alone, C alone, a and B together, a and C together, B and C together, and/or A, B, C together, etc.).
The safety of drinking water directly affects human health. If the whole process indicator on-line monitoring from the source to the destination of the drinking water is to be realized, the on-line monitoring device for the water quality of the water supply pipe is required to have higher resolution, precision and accuracy, and the on-line sensing of the fluctuation of the water quality of the water supply pipe and the safety risk thereof are also required, so that the on-line monitoring device has an automatic sample reserving function to provide a water sample of the water supply pipe for further off-line test.
However, no intelligent water quality diagnosis device for diagnosing the stability of the end pipeline of the water supply pipe on line has been found. The existing on-line water quality monitoring equipment for the water supply pipe only monitors water quality parameters, and does not have a water quality risk analysis function aiming at the tail end of the water supply pipe. In addition, most of the existing water quality on-line monitoring devices are only suitable for monitoring the water quality of natural water bodies, and are not suitable for purified low-turbidity water; the intelligent diagnosis device for urban water supply pipe water quality risk is not provided with the functions of on-line monitoring and automatic sample reserving of the integrated water supply pipe design, and combines the water quality on-line/off-line related monitoring technology and the Internet of things technology.
In addition, when the water source switching area of the water supply pipe is subjected to the phenomenon of yellow water, the stability of the pipeline at the tail end of the pipe network is evaluated, laboratory test analysis is usually carried out by manually collecting water samples and pipe scales, and the water quality stability and risk of the water supply pipe are determined according to the analysis result of the phase composition of the pipe scales. The whole evaluation process is time-consuming and labor-consuming, and the evaluation result has great uncertainty. For example, manual sampling is inevitably delayed, and the collected water sample is not generally representative of the water quality when the water quality is deteriorated; the obtained pipe scale is limited in quantity, and the stability evaluation result is poor in representativeness; the difficulty of the pipe digging operation in the actual work is great, and the water supply pipe replacement process may cause the water supply pipe to be damaged again, resulting in further deterioration of water quality. In addition, no online measurement method for the release rate of pipe network particles and the attenuation of a pipeline disinfectant exists, and the two indexes can evaluate the characteristic of maintaining stable water quality of the pipeline in situ.
In view of this, an embodiment of the present disclosure proposes an online intelligent analysis method for water quality of a water supply pipe network, where the method includes receiving, by using a remote communication unit, flow data periodically sent by a remote flowmeter disposed at a first monitoring point; the method comprises the steps that an electrical control unit is utilized to identify flow data, under the condition that the flow data in a continuous preset time period are zero, first water quality monitoring data in a water supply network at a first monitoring point in the preset time period are obtained from a water quality analysis unit, wherein the first water quality monitoring data comprise turbidity monitoring data and disinfectant monitoring data, the turbidity monitoring data are obtained by detecting a water sample to be detected through an astigmatism method by utilizing the water quality analysis unit, the disinfectant monitoring data are obtained by detecting the water sample to be detected through a visible spectrophotometry by utilizing the water quality analysis unit, and the water sample to be detected is collected at the first monitoring point by an acquisition unit according to a first acquisition frequency set by the electrical control unit; calculating the release rate of the particulate matters and the decay rate of the disinfectant in the inner pipe section in a continuous preset time period by using an electrical control unit according to the turbidity monitoring data and the disinfectant monitoring data; under the condition that the release rate of particulate matters in the pipe section and/or the attenuation rate of the disinfectant meet preset conditions, the early warning information is displayed through the display unit, and the early warning information is sent to the mobile terminal through the remote communication unit.
Fig. 1 schematically illustrates a flow chart of an on-line intelligent analysis method for water quality of a water supply network according to an embodiment of the disclosure.
As shown in FIG. 1, the method includes operations S101-S104.
In operation S101, traffic data periodically transmitted by a remote flowmeter provided at a first monitoring point is received by a remote communication unit.
According to an embodiment of the present disclosure, the remote communication unit may be a unit for receiving traffic data, and may communicate by means of signal lines or wireless communication.
According to embodiments of the present disclosure, the first monitoring point may be a sampling point in the water supply pipe for monitoring water quality, and may be disposed anywhere, without limitation.
According to the embodiment of the disclosure, the remote flow meter may be a remote digital water meter, may be installed upstream of a pipeline to be detected in a water supply pipe, may be installed at other positions to be detected, and is used for metering water consumption in the water supply pipe, and may also send flow data to a remote communication unit at regular time, for example, may send flow data to the remote communication unit every 20 minutes, may also send flow data to the remote communication unit every 30 minutes, and is not limited herein.
According to embodiments of the present disclosure, the flow data may include an amount of water flowing through the water in the water supply pipe over a period of time.
In operation S102, the electrical control unit is utilized to obtain first water quality monitoring data in the water supply network at the first monitoring point in the preset time period from the water quality analysis unit by identifying the flow data under the condition that the flow data in the continuous preset time period are zero, wherein the first water quality monitoring data comprise turbidity monitoring data and disinfectant monitoring data, the turbidity monitoring data are obtained by detecting a water sample to be detected through an astigmatism method by utilizing the water quality analysis unit, the disinfectant monitoring data are obtained by detecting the water sample to be detected through a visible spectrophotometry by utilizing the water quality analysis unit, and the water sample to be detected is collected at the first monitoring point by the collecting unit according to a first collecting frequency set by the electrical control unit.
According to the embodiment of the disclosure, the electrical control unit can automatically control the water quality analysis unit and the sampling unit through a microcomputer, and can be connected with the water quality analysis unit and the sampling unit through signal wires or wireless signals, and the electrical control unit can also adjust parameters.
According to an embodiment of the present disclosure, the preset time may be a time interval for the remote flowmeter to transmit the flow data at a fixed time, for example, may be 20 minutes or 30 minutes.
According to embodiments of the present disclosure, a zero flow data may indicate that water in the current water supply pipe is not flowing, may be determined from a water usage profile, and may be 4 points to 6 points.
According to an embodiment of the present disclosure, the water quality analysis unit may be used for water quality analysis, and may analyze turbidity, temperature, pH, residual chlorine, total chlorine, oxidation-reduction potential (ORP), dissolved Oxygen (DO), conductivity (EC), total Dissolved Solids (TDS), etc.
According to embodiments of the present disclosure, the first water quality monitoring data may be monitoring data of the water quality analysis unit after the water quality analysis, may include turbidity monitoring data and disinfectant monitoring data, and may also include monitoring data of temperature, pH, residual chlorine, total chlorine, oxidation-reduction potential (ORP), dissolved Oxygen (DO), conductivity (EC), total Dissolved Solids (TDS), and the like.
According to the embodiment of the disclosure, turbidity monitoring data is obtained by detecting a water sample to be detected by using a water quality analysis unit through an astigmatism method, and can be specifically determined by adopting a 90-degree scattered light method. The disinfectant monitoring data are obtained by detecting a water sample to be detected by a visible spectrophotometry through a water quality analysis unit. The data of total chlorine and residual chlorine are measured by visible spectrophotometry. pH, ORP, EC, TDS and temperature data were measured using the electrode method.
According to the embodiment of the disclosure, the first collection frequency may be a time interval of the remote flowmeter for sending flow data at fixed time, and the water sample to be detected may be obtained by the collection unit automatically collecting at the first monitoring point according to the first collection frequency. For example, a water sample may be collected by the collection unit at a first monitoring point every 20 minutes or every 30 minutes as the water sample to be detected.
According to the embodiment of the disclosure, when the flow data in the continuous preset time period is identified as zero, for example, the flow data in 20 continuous minutes may be zero, and the water quality analysis unit may analyze the water at the first monitoring point to obtain the first water quality monitoring data.
In operation S103, a particulate matter release rate and a disinfectant decay rate of the inner section of the continuous preset time period are calculated from the turbidity monitoring data and the disinfectant monitoring data using the electrical control unit.
According to embodiments of the present disclosure, the electrical control unit may automatically calculate the pipe section particulate release rate and the sterilant decay rate.
According to the embodiment of the disclosure, the particulate matter release rate of the pipe section can be calculated by turbidity monitoring data, can be the rate of rise per hour of the turbidity of the pipe, can be recorded as NTU (network time unit), the disinfectant decay rate can be calculated by disinfectant monitoring data, can be the decay rate of residual chlorine or total chlorine of the water supply pipe network when the water of the water supply pipe network of the first monitoring point is stagnated, and can be recorded as milligram effective chlorine/hour.
In operation S104, when the particulate matter release rate and/or the disinfectant decay rate of the pipe section meet the preset conditions, the early warning information is displayed through the display unit, and the early warning information is sent to the mobile terminal through the remote communication unit.
According to embodiments of the present disclosure, the preset condition may be that the pipe particulate matter release rate is less than a certain value and/or the pipe particulate matter release rate is less than a certain value.
According to embodiments of the present disclosure, the pre-warning information may be that the pipeline particulate matter release rate exceeds a preset value and/or the disinfectant decay rate exceeds a preset value.
According to the embodiment of the disclosure, the display unit can display the early warning information through the display.
According to embodiments of the present disclosure, the mobile terminal may be a smart phone, a tablet computer, a laptop portable computer, or a desktop computer, without limitation.
According to the embodiment of the disclosure, the mobile terminal can check the first water quality monitoring data in real time and send the control signal to perform water quality detection or sample collection, and also can receive the early warning information so that a user can process the early warning information in time.
According to the embodiment of the disclosure, the remote communication unit is used for receiving flow data sent by the remote flowmeter arranged at the first monitoring point at fixed time, then the electric control unit is used for displaying early warning information through the display unit under the condition that the flow data in the continuous preset time period are zero, the electric control unit is used for acquiring first water quality monitoring data in the water supply pipe network of the first monitoring point in the preset time period, wherein the first water quality monitoring data comprise turbidity monitoring data and disinfectant monitoring data, the electric control unit is used for calculating the release rate of the particles and the attenuation rate of the disinfectant in the inner pipe section in the continuous preset time period according to the turbidity monitoring data and the disinfectant monitoring data, then the early warning information is displayed through the display unit under the condition that the release rate of the particles in the pipe section and/or the attenuation rate of the disinfectant meet preset conditions, and the early warning information is sent to the mobile terminal through the remote communication unit, so that the remote communication unit can be timely analyzed by the electric control unit under the condition that the flow data of the remote flowmeter of the first monitoring point is acquired, and the first water quality monitoring data are obtained for analyzing the release rate of the particles in the pipe section and the attenuation rate of the disinfectant.
According to an embodiment of the present disclosure, under a condition that a particulate matter release rate and/or a disinfectant decay rate of a pipe section meet preset conditions, displaying early warning information through a display screen, and sending the early warning information to a mobile terminal through a remote communication unit, the method includes:
Under the condition that the release rate of particulate matters in the pipe section is larger than a first preset threshold value and the attenuation rate of the disinfectant is smaller than a second preset threshold value, displaying first early warning information through a display screen, and sending the first early warning information to a mobile terminal through a remote communication unit, wherein the first early warning information comprises particulate matter early warning information;
Under the condition that the release rate of particulate matters in the pipe section is smaller than a first preset threshold value and the attenuation rate of disinfectant is larger than a second preset threshold value, displaying second early warning information through a display screen, and sending the second early warning information to a mobile terminal through a remote communication unit, wherein the second early warning information comprises microorganism early warning information;
And under the condition that the release rate of particulate matters in the pipe section is greater than a first preset threshold value and the decay rate of the disinfectant is greater than a second preset threshold value, displaying third early warning information through a display screen, and sending the third early warning information to the mobile terminal through a remote communication unit, wherein the third early warning information comprises particulate matter early warning information and microorganism early warning information.
According to an embodiment of the present disclosure, the first preset threshold and the second preset threshold may be set as needed. For example, the first preset threshold value can be set to be 0.20NTU/h, and when the release rate of pipeline particulate matters is greater than 0.20NTU/h, the stability of pipe scale of the water supply pipe network is poor; when the release rate of the pipeline particles is less than 0.20NTU/h, the stability of the pipe scale of the water supply pipe network is good. The second preset threshold may be set to 0.05mgCl 2/h, when the disinfectant decay rate is greater than 0.05mgCl 2/h, the ability of the water supply pipe network to maintain the disinfectant is relatively poor, and when the disinfectant decay rate is less than 0.05mgCl 2/h, the ability of the water supply pipe network to maintain the disinfectant is relatively good, and other values may be set as required, without limitation.
According to an embodiment of the disclosure, the particulate matter early warning information may indicate that particulate matter in the water supply pipe network is out of range, and the microorganism early warning information may indicate that microorganisms in the water supply pipe network are out of range.
According to the embodiment of the disclosure, when the release rate of the particulate matters in the pipe section is greater than the first preset threshold value and the attenuation rate of the disinfectant is smaller than the second preset threshold value, the turbidity of the water supply pipe network at the first monitoring point can be indicated to be higher, the attenuation rate of the disinfectant is slower, that is, the particulate matters in the water of the water supply pipe network are more and the biological stability is better, for example, the release rate of the particulate matters in the pipe section is greater than 0.20NTU/h and the attenuation rate of the disinfectant is smaller than 0.05mgCl 2/h, at this time, first early warning information including particulate matter early warning information can be displayed on a display screen and sent to the mobile terminal.
According to the embodiment of the disclosure, the release rate of the particulate matters in the pipe section is smaller than the first preset threshold value, and the attenuation rate of the disinfectant is larger than the second preset threshold value, which can indicate that the turbidity of the water in the water supply pipe network of the first monitoring point is lower, the attenuation rate of the disinfectant is faster, that is, the particulate matters in the water supply pipe network are smaller, and the biological stability is poor, for example, the release rate of the particulate matters in the pipe section is smaller than 0.20NTU/h, the attenuation rate of the disinfectant is larger than 0.05mgCl 2/h, and at the moment, second early warning information including the early warning information of microorganisms can be displayed on a display screen and sent to the mobile terminal.
According to the embodiment of the disclosure, the release rate of the particulate matters in the pipe section is greater than the first preset threshold value, and the attenuation rate of the disinfectant is greater than the second preset threshold value, which can indicate that the turbidity of the water in the water supply pipe network at the first monitoring point is higher, the attenuation rate of the disinfectant is faster, that is, the particulate matters in the water supply pipe network are more and the biological stability is poorer, for example, the release rate of the particulate matters in the pipe section is greater than 0.20NTU/h, and the attenuation rate of the disinfectant is greater than 0.05mgCl 2/h, and at this time, third early warning information including the particulate matter early warning information and the microorganism early warning information can be displayed on the display screen and sent to the mobile terminal.
According to the embodiment of the disclosure, different early warning information can be displayed according to the release rate of the particulate matters in the pipe section and the attenuation rate of the disinfectant, the early warning information of the water in the water supply pipe network can be clearly known, and the early warning information can be timely received by a user and then corresponding improvement measures can be made by sending the early warning information to the mobile terminal.
Fig. 2 schematically illustrates a flow chart of a method for intelligent online analysis of water quality of a water supply network according to yet another embodiment of the present disclosure.
As shown in FIG. 2, the method includes operations S201-S205.
In operation S201, a first water sample to be detected is collected from a water supply pipe network of a first monitoring point by using a collection unit according to a first collection frequency set by an electrical control unit.
According to an embodiment of the present disclosure, the time of the first acquisition frequency may be a preset time period, for example, the preset time period is 20 minutes, and the first acquisition frequency may be acquisition every 20 minutes.
According to the embodiment of the disclosure, after receiving the early warning information, the electrical control unit may change the collection frequency, and the first water sample to be detected may be a water sample collected at the first monitoring point after the collection frequency is changed.
In operation S202, a first water sample to be detected is detected by a water quality analysis unit, and second water quality monitoring data is obtained.
According to the embodiment of the disclosure, the water quality analysis unit may detect indexes such as turbidity, temperature, pH, residual chlorine, total chlorine, oxidation-reduction potential (ORP), dissolved Oxygen (DO), conductivity (EC), total Dissolved Solids (TDS) and the like of the first water sample to be detected, so as to obtain second water quality monitoring data, wherein the second water quality monitoring data may include turbidity monitoring data and disinfectant monitoring data of the first water sample to be detected.
In operation S203, if the second water quality monitoring data is greater than the third preset threshold, the first frequency change information is sent to the acquisition unit through the electrical control unit, wherein the first frequency change information includes the second acquisition frequency.
According to embodiments of the present disclosure, the third preset threshold may be a value of a pipe segment particulate release rate and a disinfectant decay rate that are set as desired.
According to embodiments of the present disclosure, the condition that the second water quality monitoring data is greater than the third preset threshold may be a condition that the water body is polluted, for example, a condition that a pipe section particulate matter release rate and/or a toxic agent attenuation rate of the first water sample to be detected is greater than a preset value.
According to the embodiment of the disclosure, the first frequency changing information may be information for changing the first acquisition frequency, for example, the first acquisition frequency may be changed from acquisition once every 20 minutes to acquisition once every 10 minutes, so that after the water body is polluted, the frequency of acquiring the sample may be quickened to acquire the monitoring data of the water body in time.
According to an embodiment of the present disclosure, the second acquisition frequency may be a modified acquisition frequency.
In operation S204, third water quality monitoring data of a second monitoring point is obtained from the water quality online analysis device provided at the second monitoring point by using the electrical control unit, wherein the second monitoring point is provided upstream of the first monitoring point.
According to an embodiment of the present disclosure, the second monitoring point may be a sampling point in the water feed pipe for monitoring the water quality, and may be disposed upstream of the first monitoring point.
According to embodiments of the present disclosure, the water quality online analysis device may be a device that performs online on various indexes of a water body.
According to embodiments of the present disclosure, the third water quality monitoring data may include monitoring data for indicators of the second monitoring point such as turbidity of the water, temperature, pH, residual chlorine, total chlorine, oxidation-reduction potential (ORP), dissolved Oxygen (DO), conductivity (EC), total Dissolved Solids (TDS), and the like.
According to the embodiment of the disclosure, the electrical control unit may acquire the third water quality monitoring data through a signal line or a wireless transmission manner.
In operation S205, a pipe section of the water body pollution is determined according to the third water quality monitoring data.
According to the embodiment of the disclosure, whether the water body is polluted or not can be determined according to the release rate of the pipeline section particulate matters and/or the attenuation rate of the toxic agent in the third water quality detection data, and if pollution occurs, the distance from the second monitoring point to the first monitoring point is the pipeline section where the water body pollution occurs.
According to the embodiment of the disclosure, when the second water quality monitoring data is greater than the third preset threshold value, the frequency of collecting the water sample can be changed, and the third water quality monitoring data in the second monitoring point positioned upstream of the first monitoring point is obtained, so that the pipe section where the water pollution occurs can be rapidly determined.
According to an embodiment of the present disclosure, acquiring third water quality monitoring data of a second monitoring point from a water quality online analysis device provided at the second monitoring point by using an electrical control unit includes:
Determining a target tracing time length by using the electric control unit according to the average hydraulic retention time length between the first monitoring point and the second monitoring point;
and acquiring third water quality monitoring data of the second monitoring point in the target tracing time from the water quality online analysis device arranged at the second monitoring point.
According to the embodiment of the disclosure, the average hydraulic retention time length can be determined according to the flow data of the first monitoring point and the second monitoring point, and the range of the average hydraulic retention time length can be 12-48 hours, can also be other ranges, and is not limited herein.
According to the embodiment of the disclosure, the target tracing time length can be a time period from the second monitoring point to the first monitoring point of the water body, and the second monitoring point which is not out of standard in 12 hours at the upstream can be found.
According to the embodiment of the disclosure, the third water quality monitoring data of the second monitoring point in the target tracing time can be obtained, so that the obtained third water quality monitoring data can be closer to the time when the water body is polluted.
According to an embodiment of the present disclosure, wherein determining a pipe section interval of water pollution according to third water quality monitoring data includes:
And determining a pipe section interval between the first monitoring point and the second monitoring point as a target pipe section interval by utilizing the electric control unit under the condition that the water quality monitoring data of the water supply pipe network at the second monitoring point is larger than a third preset threshold value.
According to the embodiment of the disclosure, the condition that the water quality monitoring data of the water supply pipe network of the second monitoring point is greater than the third preset threshold value may be whether the water body is polluted or not, and may be that the release rate of the particulate matters in the pipe section and/or the attenuation rate of the toxic agent in the water quality monitoring data of the water supply pipe network of the second monitoring point are out of range, that is to say, the water body of the second monitoring point is polluted, and then the distance from the second monitoring point to the first monitoring point is the pipe section where the water body pollution occurs.
According to an embodiment of the present disclosure, the above method further includes:
Collecting a second water sample to be detected of the water supply network of the first monitoring point by using the collecting unit according to the second collecting frequency;
Detecting the second water sample to be detected by using a water quality analysis unit to obtain fourth water quality monitoring data;
When the fourth water quality monitoring data is smaller than a third preset threshold value, sending second frequency changing information to the acquisition unit through the electric control unit, wherein the second frequency changing information comprises the first acquisition frequency;
and collecting a third water sample to be detected of the water supply network at the first monitoring point by using the collecting unit according to the first collecting frequency.
According to an embodiment of the disclosure, the fourth water quality monitoring data may be that no pollution occurs in the water body when the fourth water quality monitoring data is smaller than a third preset threshold, and the second frequency change information may be sent to the acquisition unit, where the second frequency change information may include changing the second acquisition frequency to the first acquisition frequency. For example, the collection frequency in the water pollution process can be that the water is collected every 10 minutes, and when the water is detected to be not polluted, the water is collected every 20 minutes, and the third water sample to be detected is collected at the frequency of every 20 minutes.
According to the embodiment of the disclosure, when the condition that the water body is recovered from pollution to non-pollution is detected, the acquisition frequency can be changed, so that the acquisition frequency is reduced, the working time of an acquisition unit is shortened, and the data generation is reduced.
Fig. 3 schematically illustrates a flow chart of a method for intelligent online analysis of water quality of a water supply network according to yet another embodiment of the disclosure.
As shown in FIG. 3, the method includes operations S301-S304.
In operation S301, a first time and a second time are recorded by the electrical control unit, wherein the first time characterizes a time of transmitting the first frequency change information to the acquisition unit, and the second time characterizes a time of transmitting the second frequency change information to the acquisition unit.
According to an embodiment of the present disclosure, the time when the acquisition unit transmits the first frequency change information may be the time when the water pollution occurs, recorded as the first time, the time when the acquisition unit transmits the second frequency change information may be the time when the water pollution is restored to be pollution-free, recorded as the second change time,
In operation S302, a time interval in which the water body in the target pipe section is polluted is determined according to the first time and the second time.
According to the embodiment of the disclosure, the target pipe section may be a pipe section where water pollution occurs, and from a time when water pollution occurs to a time when water pollution is recovered to be pollution-free, may be a time section where water is polluted.
In operation S303, the cumulative water usage of the target pipe segment section over the time interval is determined from the time interval.
According to embodiments of the present disclosure, the water usage of a time interval may be recorded, thereby determining the cumulative water usage over the time interval.
In operation S304, the accumulated water consumption is determined as the contaminated water consumption.
According to embodiments of the present disclosure, the cumulative water usage is the amount of contaminated water for the period of time that the water body is contaminated.
According to the embodiment of the disclosure, the time interval in which the water pollution occurs can be determined from the first time and the second time, so that the accumulated water consumption of the time interval is determined as the polluted water quantity. The amount of contaminated water in the time interval can be known for parameter adjustment according to the contamination.
According to an embodiment of the present disclosure, determining, according to a time interval, an accumulated water consumption of a target pipe segment interval in the time interval includes:
Acquiring first water quantity and second water quantity from a remote flowmeter in a target pipe section area through a remote communication unit, wherein the first water quantity represents first flow data recorded by the remote flowmeter at a first time, and the second water quantity represents second flow data recorded by the remote flowmeter at a second time;
and determining the accumulated water consumption according to the first flow data and the second flow data.
According to the embodiment of the disclosure, the first water quantity can be obtained through the first flow data recorded by the remote flow meter at the first moment, and the second water quantity can be obtained through the second flow data recorded by the remote flow meter at the second moment. For example, the first water amount may be 100 tons for 4 hours of month B of a and the second water amount may be 101 tons for 4 hours of month B of a.
According to the embodiment of the disclosure, the accumulated water consumption can be obtained according to the difference value between the first water consumption and the second water consumption. For example, the first water amount is 100 tons, the second water amount is 101 tons, and the cumulative water amount is 1 ton.
Fig. 4 schematically illustrates a block diagram of an on-line intelligent analysis device 400 for water quality of a water supply network according to an embodiment of the present disclosure.
As shown in fig. 4, the apparatus 400 may include an acquisition unit 410, a water quality analysis unit 420, a remote communication unit 430, an electrical control unit 440, and a display unit 450.
The collection unit 410 is configured to collect a water sample to be detected at a first monitoring point according to a first collection frequency set by the electrical control unit 440;
the water quality analysis unit 420 is connected with the acquisition unit and is used for detecting a water sample to be detected, which is arranged at the water supply pipe network of the first monitoring point, so as to obtain water quality monitoring data;
the remote communication unit 430 is connected with the electrical control unit and is used for receiving the flow data of the remote flowmeter and sending early warning information to the mobile terminal;
The electrical control unit 440 is connected to the water quality analysis unit, and is configured to identify flow data, and obtain, from the water quality analysis unit, first water quality monitoring data in the water supply network at a first monitoring point in a preset time period when the flow data in the continuous preset time period is zero, where the first water quality monitoring data includes turbidity monitoring data and disinfectant monitoring data; calculating the release rate of the particulate matters and the decay rate of the disinfectant in the inner pipe section in a continuous preset time period according to the turbidity monitoring data and the disinfectant monitoring data;
and the display unit 450 is used for displaying early warning information under the condition that the release rate of the particulate matters in the pipe section and/or the attenuation rate of the disinfectant meet preset conditions.
According to the embodiment of the disclosure, the remote communication unit is used for receiving flow data sent by the remote flowmeter arranged at the first monitoring point at fixed time, then the electric control unit is used for displaying early warning information through the display unit under the condition that the flow data in the continuous preset time period are zero, the electric control unit is used for acquiring first water quality monitoring data in the water supply pipe network of the first monitoring point in the preset time period, wherein the first water quality monitoring data comprise turbidity monitoring data and disinfectant monitoring data, the electric control unit is used for calculating the release rate of the particles and the attenuation rate of the disinfectant in the inner pipe section in the continuous preset time period according to the turbidity monitoring data and the disinfectant monitoring data, then the early warning information is displayed through the display unit under the condition that the release rate of the particles in the pipe section and/or the attenuation rate of the disinfectant meet preset conditions, and the early warning information is sent to the mobile terminal through the remote communication unit, so that the remote communication unit can be timely analyzed by the electric control unit under the condition that the flow data of the remote flowmeter of the first monitoring point is acquired, and the first water quality monitoring data are obtained for analyzing the release rate of the particles in the pipe section and the attenuation rate of the disinfectant.
According to an embodiment of the present disclosure, wherein:
The electric control unit is connected with the acquisition unit and is used for changing the acquisition frequency of the acquisition unit into a second acquisition frequency under the condition that the second water quality monitoring data is larger than a third preset threshold value and changing the acquisition frequency of the acquisition unit into a first acquisition frequency under the condition that the second water quality monitoring data is smaller than the third preset threshold value; and
The electric control unit is connected with the remote communication unit and is used for acquiring third water quality monitoring data of a second monitoring point from the water quality online analysis device arranged at the second monitoring point through the remote communication unit, wherein the second monitoring point is arranged at the upstream of the first monitoring point; and determining a pipe section of the water body pollution and the polluted water amount according to the third water quality monitoring data.
According to embodiments of the present disclosure, turbidity, temperature, pH, residual chlorine, total chlorine, ORP, dissolved oxygen, conductivity, etc. may be detected using detectors with accuracy of.+ -. 0.01NTU,.+ -. 0.4 ℃,.+ -. 0.02,.+ -. 0.03mg/L,.+ -. 20mV,.+ -. 0.1mg/L,.+ -. 0.8% FS, or higher, respectively.
According to embodiments of the present disclosure, the electrical control unit may receive data through the display and then calibrate the water quality parameters.
According to the embodiment of the disclosure, the collecting unit may be composed of a tray layer, a sample storage chamber, a refrigerator, a sampling mechanical arm, a sample bottle, a PLC (programmable logic controller), a temperature sensor and the like, the whole-flow pipeline flushing may be automatically performed according to a preset program, after the flushing is finished, a water sample is collected in a pressure pipeline in real time according to a sampling signal of the electrical control unit and assembled to the preset sample bottle, and meanwhile, the refrigerator is started to enable the temperature of the sample chamber to be rapidly reduced to a preset storage temperature, and the storage temperature may be 4 ℃.
According to the embodiment of the disclosure, the water quality analysis unit can be provided with the flow cell with small effective volume, and the collection unit can use the small-caliber sampling tube, so that the water quality homogenization of the water supply pipe network water in the flowing process of the pipeline and the flow cell is reduced, and the water quality analysis unit can detect the tiny water quality fluctuation in the pipe network water more easily.
Fig. 5A schematically illustrates a block diagram of one direction of a water supply network water quality online intelligent analysis device 500 according to an embodiment of the present disclosure.
Fig. 5B schematically illustrates a block diagram of yet another direction of the water supply network water quality online intelligent analysis device 500 according to an embodiment of the present disclosure.
As shown in fig. 5A and 5B, the apparatus 500 may include a cabinet 1, an electrical control unit 2, a display 3, a collection unit 4, a sample bottle 5, a water quality analysis unit 6, a water inlet port 7, a sample introduction pipe 8, a pressure gauge 9, a manual sampling port 10, a pressure stabilizing valve 11, a water outlet port 12, a water outlet port 13, a remote communication unit 14, a water inlet valve 15, a water quality analysis unit water inlet pipe 16, a collection unit water inlet pipe 17, a water quality analysis unit water outlet pipe 18, a sampler water outlet pipe 19, a service valve 20, a remote flow meter 21, a water inlet pipe 22, and a water supply pipe network 23.
According to the embodiment of the disclosure, a display 3 is arranged on the upper part of a cabinet door of a cabinet body 1, an electric control unit 2 and a remote communication unit 14 are arranged on the upper part of the cabinet body, a water quality analysis unit 6 is positioned on the back side of the lower part of the cabinet body 1, and a collection unit 4 is positioned on the front side of the lower part of the cabinet body. The lower part of the back side of the cabinet body is provided with 1 water inlet interface 7 and 1 water outlet interface 12. The water inlet interface 7 is externally connected with a water supply pipe network or the tail end of the pipe network through a connecting pipe and is responsible for introducing the water of the water supply pipe network into the device 500, and a remote flow meter 21 is arranged at the upstream of the diversion point. The drain port is responsible for introducing drain from the device 500 into the drain line of the water supply network. The inside of the cabinet body 1 is provided with 1 sample injection pipeline 8 which is respectively connected with a water inlet interface 7 and a water outlet interface 12 at the back side of the cabinet body. The sample inlet pipe 8 is provided with 1 water inlet valve 15 and 1 service valve 20. The upstream of the water inlet valve 15 is provided with a pressure stabilizing valve 11 and a pressure gauge 9; 2 electromagnetic valves are arranged between the two electromagnetic valves, and are respectively connected with a water quality analysis unit water inlet pipe 16 and a collection unit water inlet pipe 17, and 1 manual sampling port 10. Between the sample pipeline maintenance valve 20 and the water drainage interface 12, 2 water drainage branch pipes are respectively a water quality analysis unit water outlet pipe 18 and a sampler water outlet pipe 19, and the water drained from the water quality analysis unit and the collection unit is collected and is converged into the sample pipeline 8 and finally discharged into the water drainage pipeline of the water supply pipe network through the water drainage interface 12. The electric control unit 2 is respectively connected to corresponding interfaces of the water quality analysis unit 6, the acquisition unit 4 and the remote communication unit 14 through power supply lines and signal lines, is responsible for providing corresponding power supplies for the water quality analysis unit 6, the acquisition unit 4 and the remote communication unit 14, and realizes automatic control of the water quality analysis unit 6 and the acquisition unit 4 through a microcomputer inside the electric control unit 2. The electric control unit 2 cooperates with the remote communication unit 14 to realize real-time data transmission and remote on-line control. The telemetering flowmeter 21 installed on the water supply pipe network 23 transmits flow information to the device 500.
According to the embodiment of the disclosure, the device 500 can realize functions of water quality on-line monitoring, data remote transmission, automatic sample reservation, remote control of the internet of things and the like.
According to the embodiment of the present disclosure, the above-described apparatus 500 may autonomously determine the cleaning time because the pipe cleaning time required to obtain representative water quality monitoring data is also different due to the uncertainty of the conditions of the water supply network 23. The device 500 performs cleaning time monitoring procedure periodically, i.e. after the water inlet valve 15 is opened, the water quality analysis unit 6 continuously monitors the water quality at high frequency, establishes a cleaning time and water quality parameter curve, and automatically determines the optimal cleaning time when the water quality is stable. The device 500 can obtain real and reliable monitoring data which can reflect the water quality of the water supply network. In addition, when the user has other technical requirements, the cleaning time of the device 500 can be set remotely through the mobile terminal.
According to the embodiment of the disclosure, the device 500 may also realize online real-time monitoring and remote transmission, and automatically open the water inlet valve 15 at a preset monitoring time. Water supply network water enters the device 500 through the water inlet interface 7. The monitoring device 500 firstly monitors the water pressure of the water supply pipe network through the pressure gauge 9, then respectively enters the water quality analysis unit 6, the water quality analysis unit water inlet pipe 16 and the acquisition unit water inlet pipe 17, and washes the internal pipelines and the flow cell through the water quality analysis unit 6 and the sampling unit, and the washing water is discharged into the sample inlet pipe 8 from the water quality analysis unit water inlet pipe 16 and the sampler water outlet pipe 19 and finally discharged into the water discharge pipeline of the water supply pipe network from the water discharge interface 12. After the cleaning is completed, the water quality analysis unit completes the water quality measurement. The monitoring data upload water quality data of any or all of 8 indexes such as temperature, turbidity, conductivity, dissolved oxygen, soluble solids, residual chlorine, total chlorine, oxidation-reduction potential and the like to the mobile terminal and the central control equipment through the remote communication unit. The water quality monitoring data can be displayed in real time by the display 3. After the treatment is completed, the water inlet valve 15 may be closed.
According to the embodiment of the disclosure, the device 500 can also realize risk identification and polluted water amount identification, when the device 500 finds polluted water body, the device 500 alarms and prompts alarm information, which can be out of standard turbidity, residual chlorine, total chlorine and the like; then, a continuous sampling procedure is started, so that the water quality can be monitored at a higher frequency, and meanwhile, the collection unit 4 synchronously collects the water of the water supply pipe network to the sample bottle 5, so as to provide a plurality of samples for subsequent off-line analysis. When the sample is stored in the collection unit 4, the refrigerator is started to keep the temperature of the storage chamber below 4 ℃, and when the sample is not stored, the refrigerator is not started to save energy. And finally, the device 500 identifies the polluted water quantity of the pipe network water according to the water quality and the monitoring result of the remote water meter.
In accordance with embodiments of the present disclosure, the apparatus 500 may also enable identification of pipe section particulate release rate and disinfectant decay rate and pipe network stability diagnostics when the apparatus 500 identifies that the flow rate of the remotely-transmitted flow meter is less than the minimum flow rate at night, for example, before the water inlet valve 15 is actuated: the flow rate of the telemetric flowmeter may be zero. The device 500 automatically marks the result of this monitoring as stagnant water. The apparatus 500 will give the pipe section particulate release rate and disinfectant decay rate during the water retention period of the feedwater pipe network when there are more than 3 monitoring data of the water retention time that is continuous in time. The minimum night flow was calculated empirically, i.e. the number of users after the meter x the water quota (2L/h).
Fig. 6 schematically illustrates a block diagram of a sample pan of a collection unit of a water supply network water quality online intelligent analysis device 500 according to an embodiment of the present disclosure.
As shown in fig. 6, the collection unit sample tray may include a sample tray 601, an application robot 602, a rinse water drain 603, a water inlet 604, and a sample bottle 605.
Fig. 7 schematically illustrates water quality monitoring data obtained by an on-line intelligent analysis method for water quality of a water supply network according to an embodiment of the present disclosure.
As shown in FIG. 7, the water quality monitoring system comprises 8 online water quality indexes and 1 offline water quality data, wherein monitoring points are positioned at the tail end of a water supply pipe network, the monitoring frequency is 1 minute, and the total duration is 20 minutes. As can be seen from fig. 7, the apparatus provided by the present disclosure can discover and start the water quality monitoring and sampling procedure in time when a water quality problem occurs. The monitoring point is prompted to risk turbidity and microbiological (disinfectant depletion) and the amount of contaminated water is 5 litres.
Fig. 8 schematically illustrates a release rate of particulate matter and a decay rate of disinfectant in a water pipe section when an online intelligent analysis method of water quality of the water pipe network monitors that water pollution occurs in an X cell according to an embodiment of the present disclosure.
As shown in FIG. 8, according to the monitoring result of the remote flowmeter, the average stagnation time of the pipeline network of the district pipeline is 2.7 hours, the release rate of pipeline section particles is 0.15-0.45NTU/h, and the attenuation rate of disinfectant is 0.09-0.20mgCl 2/h. When the release rate of the particulate matters in the pipe section is greater than 0.2NTU/h, the scale stability of the water supply pipeline at the monitoring point is poor, the particulate matters are easily released to the water body, and the risk of exceeding the turbidity of tap water is high. When the attenuation rate of the disinfectant is more than 0.05mgCl 2/h, the biological stability of the pipe wall of the pipeline is poor, and the risk of exceeding the standard of disinfection byproducts and microorganism indexes is high.
While the foregoing is directed to embodiments of the present disclosure, other and further details of the invention may be had by the present application, it is to be understood that the foregoing description is merely exemplary of the present disclosure and that no limitations are intended to the scope of the disclosure, except insofar as modifications, equivalents, improvements or modifications may be made without departing from the spirit and principles of the present disclosure.
Claims (8)
1. An online intelligent analysis method for water quality of a water supply pipe network comprises the following steps:
Receiving flow data transmitted at regular time by a remote flowmeter arranged at a first monitoring point by using a remote communication unit;
Acquiring first water quality monitoring data in a water supply network of a first monitoring point in a preset time period from a water quality analysis unit under the condition that the flow data in the continuous preset time period are zero by utilizing an electric control unit, wherein the first water quality monitoring data comprise turbidity monitoring data and disinfectant monitoring data, the turbidity monitoring data are obtained by utilizing the water quality analysis unit to detect a water sample to be detected through an astigmatism method, the disinfectant monitoring data are obtained by utilizing the water quality analysis unit to detect the water sample to be detected through a visible spectrophotometry, and the water sample to be detected is acquired at the first monitoring point by an acquisition unit according to a first acquisition frequency set by the electric control unit;
Calculating the release rate of particulate matters and the decay rate of the disinfectant in the inner section of the continuous preset time period by using an electrical control unit according to the turbidity monitoring data and the disinfectant monitoring data;
Displaying early warning information through a display unit and sending the early warning information to a mobile terminal through the remote communication unit under the condition that the release rate of particulate matters in the pipe section and/or the attenuation rate of the disinfectant meet preset conditions;
The method further comprises the steps of:
collecting a first water sample to be detected from the water supply pipe network of the first monitoring point by utilizing a collecting unit according to a first collecting frequency set by the electrical control unit;
detecting the first water sample to be detected by using a water quality analysis unit to obtain second water quality monitoring data;
When the second water quality monitoring data is larger than a third preset threshold value, sending first frequency changing information to the acquisition unit through the electrical control unit, wherein the first frequency changing information comprises a second acquisition frequency;
acquiring third water quality monitoring data of a second monitoring point from a water quality online analysis device arranged at the second monitoring point by using an electrical control unit, wherein the second monitoring point is arranged at the upstream of the first monitoring point;
And determining a pipe section interval of water pollution according to the third water quality monitoring data.
2. The method according to claim 1, wherein, when the release rate of particulate matter in the pipe section and/or the attenuation rate of the disinfectant meet preset conditions, displaying early warning information through a display screen, and sending the early warning information to a mobile terminal through the remote communication unit, the method comprises:
displaying first early warning information through a display screen and sending the first early warning information to a mobile terminal through the remote communication unit under the condition that the particulate matter release rate of the pipe section is larger than a first preset threshold value and the disinfectant decay rate is smaller than a second preset threshold value, wherein the first early warning information comprises particulate matter early warning information;
Displaying second early warning information through a display screen and sending the second early warning information to a mobile terminal through the remote communication unit under the condition that the release rate of particulate matters in the pipe section is smaller than the first preset threshold value and the attenuation rate of the disinfectant is larger than the second preset threshold value, wherein the second early warning information comprises microorganism early warning information;
And under the condition that the release rate of particulate matters in the pipe section is greater than the first preset threshold value and the decay rate of the disinfectant is greater than the second preset threshold value, displaying third early warning information through a display screen, and sending the third early warning information to a mobile terminal through the remote communication unit, wherein the third early warning information comprises the particulate matter early warning information and the microorganism early warning information.
3. The method of claim 1, wherein the acquiring, with the electrical control unit, third water quality monitoring data of a second monitoring point from a water quality online analysis device provided at the second monitoring point, comprises:
Determining a target tracing time length by using the electrical control unit according to the average hydraulic retention time length between the first monitoring point and the second monitoring point;
And acquiring third water quality monitoring data of the second monitoring point in the target tracing time period from a water quality online analysis device arranged at the second monitoring point.
4. The method of claim 1, wherein the determining a pipe segment interval for water body pollution from the third water quality monitoring data comprises:
And determining a pipe section interval between the first monitoring point and the second monitoring point as a target pipe section interval by using the electrical control unit under the condition that the water quality monitoring data of the water supply pipe network of the second monitoring point is larger than a third preset threshold value.
5. The method of claim 4, further comprising:
Collecting a second water sample to be detected of the water supply pipe network of the first monitoring point by using the collecting unit according to the second collecting frequency;
Detecting the second water sample to be detected by using a water quality analysis unit to obtain fourth water quality monitoring data;
Transmitting, by the electrical control unit, second frequency change information to the acquisition unit when the fourth water quality monitoring data is less than the third preset threshold, wherein the second frequency change information includes the first acquisition frequency;
and collecting a third water sample to be detected of the water supply pipe network of the first monitoring point by using the collecting unit according to the first collecting frequency.
6. The method of claim 5, further comprising:
Recording a first time and a second time by using an electric control unit, wherein the first time represents the time of sending the first frequency change information to the acquisition unit, and the second time represents the time of sending the second frequency change information to the acquisition unit;
Determining a time interval in which the water body in the target pipe section interval is polluted according to the first time and the second time;
determining the accumulated water consumption of the target pipe section in the time interval according to the time interval;
And determining the accumulated water consumption as the polluted water consumption.
7. The method of claim 6, wherein the determining the cumulative water usage of the target pipe segment interval over the time interval from the time interval comprises:
acquiring a first water quantity and a second water quantity from the remote flow meter in the target pipe section area through a remote communication unit, wherein the first water quantity represents first flow data recorded by the remote flow meter at the first moment, and the second water quantity represents second flow data recorded by the remote flow meter at the second moment;
and determining the accumulated water consumption according to the first flow data and the second flow data.
8. An online intelligent analysis device for water quality of a water supply pipe network, comprising:
The acquisition unit is used for acquiring a water sample to be detected at a first monitoring point according to the first acquisition frequency set by the electrical control unit;
the water quality analysis unit is connected with the acquisition unit and used for detecting a water sample to be detected, which is arranged at the water supply pipe network of the first monitoring point, so as to obtain water quality monitoring data;
the remote communication unit is connected with the electrical control unit and is used for receiving flow data of the remote flowmeter and sending early warning information to the mobile terminal;
The electrical control unit is connected with the water quality analysis unit and is used for identifying the flow data, acquiring first water quality monitoring data in the water supply pipe network at the first monitoring point in the preset time period from the water quality analysis unit under the condition that the flow data in the continuous preset time period are zero, wherein the first water quality monitoring data comprise turbidity monitoring data and disinfectant monitoring data, and calculating the release rate of particulate matters and the attenuation rate of the disinfectant in the inner pipe section in the continuous preset time period according to the turbidity monitoring data and the disinfectant monitoring data;
the display unit is used for displaying the early warning information under the condition that the release rate of the particles in the pipe section and/or the attenuation rate of the disinfectant meet preset conditions;
Wherein:
The electric control unit is connected with the acquisition unit and is used for changing the acquisition frequency of the acquisition unit into a second acquisition frequency under the condition that the second water quality monitoring data is larger than a third preset threshold value and changing the acquisition frequency of the acquisition unit into the first acquisition frequency under the condition that the second water quality monitoring data is smaller than the third preset threshold value; and
The electric control unit is connected with the remote communication unit and is used for acquiring third water quality monitoring data of a second monitoring point from the water quality online analysis device arranged at the second monitoring point through the remote communication unit, wherein the second monitoring point is arranged at the upstream of the first monitoring point; and determining a pipe section of the water body pollution and the polluted water amount according to the third water quality monitoring data.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210611157.2A CN114813649B (en) | 2022-05-31 | 2022-05-31 | Water supply network water quality online intelligent analysis method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210611157.2A CN114813649B (en) | 2022-05-31 | 2022-05-31 | Water supply network water quality online intelligent analysis method and device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114813649A CN114813649A (en) | 2022-07-29 |
| CN114813649B true CN114813649B (en) | 2024-05-17 |
Family
ID=82520206
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210611157.2A Active CN114813649B (en) | 2022-05-31 | 2022-05-31 | Water supply network water quality online intelligent analysis method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114813649B (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101076723A (en) * | 2003-07-11 | 2007-11-21 | Pda安全解决方案有限公司 | Remote monitoring system for water |
| CN102306021A (en) * | 2011-08-16 | 2012-01-04 | 上海交通大学 | Joint debugging and joint control method for guaranteeing biosafety of pipe network water quality based on real-time ArcGis |
| WO2015021669A1 (en) * | 2013-08-16 | 2015-02-19 | 深圳市兰德玛水环境工程科技有限公司 | System and method for preventing water pollution by using quality classification-based draining and quality classification-based processing |
| CN110825011A (en) * | 2019-08-30 | 2020-02-21 | 深圳市天地互通科技有限公司 | Pollution source on-line water balance monitoring system |
| CN110850051A (en) * | 2019-11-29 | 2020-02-28 | 广西华投检测技术有限公司 | Water quality environment monitoring method |
| CN111855945A (en) * | 2020-07-28 | 2020-10-30 | 王艳捷 | Intelligent watershed water pollution traceability ship-borne monitoring technology and method |
-
2022
- 2022-05-31 CN CN202210611157.2A patent/CN114813649B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101076723A (en) * | 2003-07-11 | 2007-11-21 | Pda安全解决方案有限公司 | Remote monitoring system for water |
| CN102306021A (en) * | 2011-08-16 | 2012-01-04 | 上海交通大学 | Joint debugging and joint control method for guaranteeing biosafety of pipe network water quality based on real-time ArcGis |
| WO2015021669A1 (en) * | 2013-08-16 | 2015-02-19 | 深圳市兰德玛水环境工程科技有限公司 | System and method for preventing water pollution by using quality classification-based draining and quality classification-based processing |
| CN110825011A (en) * | 2019-08-30 | 2020-02-21 | 深圳市天地互通科技有限公司 | Pollution source on-line water balance monitoring system |
| CN110850051A (en) * | 2019-11-29 | 2020-02-28 | 广西华投检测技术有限公司 | Water quality environment monitoring method |
| CN111855945A (en) * | 2020-07-28 | 2020-10-30 | 王艳捷 | Intelligent watershed water pollution traceability ship-borne monitoring technology and method |
Non-Patent Citations (1)
| Title |
|---|
| 北京市部分区域市政末梢饮用水在线监测结果分析;李亚京;宁忻;赵睿;;环境卫生学杂志;20160225(01);全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114813649A (en) | 2022-07-29 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US20220260545A1 (en) | Apparatus And Method For Measuring Water Quality In A Water Distribution System | |
| CN206431040U (en) | A kind of Automatic On-line ammonia Nitrogen Analyzer | |
| KR100945652B1 (en) | Remote Water Quality Monitoring System | |
| US11846596B2 (en) | Mobile system for continuous, automatic, online monitoring of water quality and particle sampling in a drinking water distribution network | |
| CN104865365B (en) | A kind of distributed data acquisition system for villages and small towns monitoring water quality on line | |
| CN108706649B (en) | Sewage treatment data acquisition and transmission system | |
| CN109338017B (en) | Method and device for automatically detecting pH value in haematococcus pluvialis culture process | |
| CN104950713A (en) | Water quality regulation system based on Beidou | |
| CN104677969A (en) | Online electroplate liquid detecting system and online electroplate liquid detecting method | |
| CN110174379A (en) | A kind of multi-parameter water quality monitoring device and method | |
| KR102646064B1 (en) | Method and device for automatically measuring tap water quality and consumption | |
| CN111912475A (en) | Real-time monitoring system and method for pipeline cleaning | |
| CN105843156A (en) | Automatic water discharging device for water supplying pipeline end water quality reduction control based on multi-parameter monitoring and use method thereof | |
| CN114813649B (en) | Water supply network water quality online intelligent analysis method and device | |
| CN205175954U (en) | Quality of water multi -parameter on -line monitoring device | |
| CN111665339A (en) | Drinking water monitoring and management system | |
| CN212340335U (en) | Real-time monitoring system for pipeline cleaning | |
| CN208751622U (en) | A kind of medical sewage exhausting control system | |
| CN110704808B (en) | Method for judging cleaning condition of secondary water supply and storage equipment | |
| CN112562298A (en) | Remote online water quality monitoring system for sewage treatment | |
| CN209432808U (en) | A kind of visualization apparatus for metering fluids acquisition system | |
| CN216669956U (en) | Water quality monitoring device | |
| CN214374705U (en) | Water pollution real-time monitoring and early warning system | |
| Singh et al. | IoT based Water Pollution Reporting System: An IoT based system for controlling pollution in water | |
| CN217385438U (en) | Hospital water pollution source on-line monitoring system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |