CN118153864A - Distributed hydrologic information management platform - Google Patents
Distributed hydrologic information management platform Download PDFInfo
- Publication number
- CN118153864A CN118153864A CN202410253951.3A CN202410253951A CN118153864A CN 118153864 A CN118153864 A CN 118153864A CN 202410253951 A CN202410253951 A CN 202410253951A CN 118153864 A CN118153864 A CN 118153864A
- Authority
- CN
- China
- Prior art keywords
- water
- data
- consumption
- water quality
- water source
- 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.)
- Pending
Links
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 504
- 238000001514 detection method Methods 0.000 claims abstract description 14
- 238000000034 method Methods 0.000 claims abstract description 12
- 238000012545 processing Methods 0.000 claims description 14
- 238000004458 analytical method Methods 0.000 claims description 12
- 229910001385 heavy metal Inorganic materials 0.000 claims description 11
- 244000005700 microbiome Species 0.000 claims description 11
- 238000005070 sampling Methods 0.000 claims description 10
- 239000005416 organic matter Substances 0.000 claims description 9
- 238000007405 data analysis Methods 0.000 claims description 5
- 238000004891 communication Methods 0.000 claims description 4
- 238000001914 filtration Methods 0.000 claims description 4
- 230000001954 sterilising effect Effects 0.000 claims description 3
- 230000000977 initiatory effect Effects 0.000 claims 1
- 230000036541 health Effects 0.000 abstract description 5
- 230000009286 beneficial effect Effects 0.000 abstract description 3
- 238000007726 management method Methods 0.000 description 18
- 238000010586 diagram Methods 0.000 description 3
- 230000002159 abnormal effect Effects 0.000 description 2
- 238000013480 data collection Methods 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000001376 precipitating effect Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000012372 quality testing Methods 0.000 description 1
- 238000004062 sedimentation Methods 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
- 238000004659 sterilization and disinfection Methods 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06315—Needs-based resource requirements planning or analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Physics & Mathematics (AREA)
- Economics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Strategic Management (AREA)
- Mathematical Physics (AREA)
- Marketing (AREA)
- Entrepreneurship & Innovation (AREA)
- General Business, Economics & Management (AREA)
- Tourism & Hospitality (AREA)
- Data Mining & Analysis (AREA)
- Health & Medical Sciences (AREA)
- Algebra (AREA)
- Public Health (AREA)
- General Engineering & Computer Science (AREA)
- Software Systems (AREA)
- General Health & Medical Sciences (AREA)
- Computational Mathematics (AREA)
- Pure & Applied Mathematics (AREA)
- Primary Health Care (AREA)
- Sampling And Sample Adjustment (AREA)
- Mathematical Optimization (AREA)
- Water Supply & Treatment (AREA)
- Development Economics (AREA)
- Educational Administration (AREA)
- Databases & Information Systems (AREA)
- Game Theory and Decision Science (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Mathematical Analysis (AREA)
Abstract
The invention discloses a distributed hydrological information management platform, belongs to the technical field of information management, and solves the technical problems that the water quality of water resources and the water consumption of residents are not considered in the prior art, the water quality is not up to standard, so that the health of the residents is endangered, and the residual water consumption is insufficient to influence the normal life of the residents; the method comprises the steps of collecting water samples from a plurality of collecting points, obtaining water quality data of the water samples through data collecting equipment, calculating water quality coefficients according to the water quality data and standard data, and enabling a water source to reach a use standard when the water quality coefficients are smaller than a water quality threshold; otherwise, treating the water source which does not reach the standard; the water quality of residents is guaranteed; acquiring water level data of a plurality of acquisition points through water level detection equipment, and calculating residual water consumption of the acquisition points; based on contemporaneous historical water consumption prediction, prediction data are obtained, and when the residual water consumption is larger than the prediction data, the residual water consumption meets the requirements; otherwise, using a backup water source; is beneficial to guaranteeing daily water for residents.
Description
Technical Field
The invention belongs to the field of information management, relates to a distributed hydrologic information management technology, and particularly relates to a distributed hydrologic information management platform.
Background
The hydrologic information is information about hydrologic relation and interaction of water conditions, hydrologic characteristics, dynamic processes for controlling water circulation and the like; the data input, storage and use of the hydrologic data are perfected, the work of each link can be simplified, and the improvement of the service quality and efficiency of the hydrologic file is facilitated; when measures such as city planning and land planning are formulated, more specific and effective hydrologic information can be used as a basis, and harmony of overall planning and construction of water resources is facilitated; the hydrology is managed, so that the water resources can be more reasonably distributed, and the resources are more scientifically and reasonably managed, so that a great amount of waste of the water resources is avoided, and the quality and the utilization rate of the water resources are improved; therefore, unified management of hydrologic information is very important.
The prior art (the invention patent application with publication number of CN 103926943A) discloses a hydrologic water resource monitoring system, which comprises a central station, wherein the central station comprises a water environment storage module and a water environment information management module which is in signal connection with the water environment information storage module; the water environment information management module sends out an alarm when receiving that the water resources monitored by the flow meters exceed a set threshold value; however, in the prior art, the water resource is monitored through the rain gauge and the flowmeter, the problems of the water quality of the water resource and the water consumption of residents are not considered, the water quality is not up to standard, the health of the residents is endangered, and the residual water consumption is insufficient, so that the normal life of the residents is influenced.
The invention provides a distributed hydrologic information management platform to solve the technical problems.
Disclosure of Invention
The present invention aims to solve at least one of the technical problems existing in the prior art; therefore, the invention provides a distributed hydrological information management platform which is used for solving the technical problems that the water quality of water resources and the water consumption of residents are not considered in the prior art, and the water quality is not up to standard, so that the health of the residents is endangered, and the residual water consumption is insufficient, so that the normal life of the residents is influenced.
To achieve the above object, a first aspect of the present invention provides a distributed hydrologic information management platform, including: the system comprises an analysis processing module, a data acquisition module, a terminal management module and a data acquisition module, wherein the analysis processing module is connected with the data acquisition module;
And a data acquisition module: collecting water samples from a plurality of collecting points, and obtaining water quality data of the water samples through data collecting equipment; and collecting water level data of a plurality of collecting points through water level detection equipment; wherein, the water quality data comprises heavy metal content, organic matter content and microorganism content; the plurality of collecting points are arranged according to the water source supply points;
And an analysis and processing module: calculating water quality coefficients of water sources of a plurality of acquisition points based on water quality data, judging whether the water sources reach a use standard according to the water quality coefficients, and if so, continuously detecting the water quality of the water sources; if not, treating the water source which does not reach the standard; and
The residual water consumption is obtained based on water level data analysis, and the water consumption is predicted according to the historical water consumption to obtain prediction data; judging whether the residual water consumption can meet the requirement according to the predicted data and the residual water consumption; if yes, continuously predicting the water consumption; if not, an alarm is sent out, and water emergency measures are started;
And a terminal management module: the data acquisition unit is used for storing the data of the acquisition points in the corresponding acquisition units, integrating the data of all the acquisition units to obtain integrated data, and transmitting the integrated data to the central management unit.
Preferably, the analysis processing module is respectively in communication and/or electrical connection with the data acquisition module and the terminal management module; the data acquisition module is in communication and/or electrical connection with the data acquisition device and the water level detection device.
Preferably, the plurality of collection points are set according to a water source supply point, including:
a plurality of water source supply points are called, a data sensor is arranged in the plurality of water source supply points, and a plurality of acquisition points are numbered i according to the arrangement time sequence of the plurality of water source supply points; wherein i=1, 2, …, n, n is a positive integer; the water source supply point refers to a water resource for supplying domestic water to residents.
It should be noted that, the plurality of collection points are changed according to the change of the water source supply points, and when a new water source supply point appears, a new collection point is established according to the new water source supply point.
According to the invention, the plurality of collecting points are arranged according to the water source supply points, the plurality of collecting points are numbered according to the arranged time sequence, the plurality of collecting points are convenient to manage later, when an abnormal condition occurs in one collecting point, the corresponding collecting point can be positioned according to the number in time, and the abnormal condition can be treated in time.
Preferably, the calculating the water quality coefficient of the water source based on the water quality data includes:
The method comprises the steps of (1) calling water quality data of a plurality of water samples at a collection point, and respectively marking heavy metal content, organic matter content and microorganism content in the water quality data as ZHI, YII and WHI; extracting standard data of water quality, and respectively marking the standard heavy metal content, the standard organic matter content and the standard microorganism content in the standard data as BZ, BY and BW;
Calculating the water quality coefficients of water samples at a plurality of collecting points through a formula SXi =alpha×exp (ZHi-BZ) +beta×exp (YHi-BY) +gamma×exp (Whi-BW); wherein α, β and γ are weight coefficients greater than 0.
The water quality of each sampling point is detected by the number of the sampling points corresponding to i, so that water quality data corresponding to the sampling points are obtained, and the standard data of the water quality are the specified values, so that the standard data of the sampling points are the same.
According to the water quality coefficient evaluation method, the water quality coefficients of the water samples at the plurality of collecting points are calculated according to the water quality data of the water samples at the plurality of collecting points, the water sources at the plurality of collecting points can be evaluated according to the water quality coefficients of the water samples, and a judgment basis is provided for the follow-up judgment of whether the water sources reach the use standard.
Preferably, the determining whether the water source reaches the use standard according to the water quality coefficient includes:
The water quality coefficients of the water samples at a plurality of collecting points are called, whether the water quality coefficients are smaller than a set water quality threshold value or not is judged, if yes, the water source is judged to reach the use standard, and the water quality coefficients of the water source are continuously detected; if not, judging that the water source does not reach the use standard, and treating the water source which does not reach the standard.
Preferably, the treatment of the water source which does not reach the standard comprises:
The number i of the collecting point of the water source which does not reach the standard is called, the corresponding water source supply point is positioned according to the number, and the corresponding water source is precipitated; filtering and sterilizing; sampling the treated water source to obtain a treated water sample, calculating the water quality coefficient of the treated water sample, judging whether the treated water source reaches the use standard when the water quality coefficient of the treated water sample is smaller than the water quality threshold value, and if not, carrying out water quality detection on the water source after the water source is treated again.
According to the invention, the water source which does not reach the standard is treated, and the water quality of the treated water source is detected again, when the water quality detection of the treated water source does not reach the use standard, the water source is continuously treated, the water source can be ensured to be used when the water source reaches the use standard, and the water health of residents is guaranteed.
Preferably, the water level data analysis method for obtaining the residual water consumption includes:
Water level data is called, and a water level drop value is analyzed according to the water level data; extracting historical water consumption corresponding to the water level drop value; dividing the historical water consumption by the water level drop value to calculate and obtain the unit water consumption corresponding to the unit water level; and analyzing the water level data and the unit water consumption to obtain the residual water consumption of the water source.
It should be noted that, there are differences in water sources at the plurality of collection points, so it is necessary to calculate the remaining water consumption at the plurality of collection points and evaluate the remaining water consumption at the plurality of collection points.
According to the invention, the water level drop value is analyzed according to the water level data, the unit water consumption is calculated based on the historical water consumption and the water level drop value, and the residual water consumption is obtained according to the unit water consumption and the water level data analysis, so that a foundation can be provided for the follow-up judgment of whether the residual water consumption can meet the requirement.
Preferably, the predicting the water consumption according to the historical water consumption includes:
Acquiring historical water consumption in the same period, and calculating average water consumption in a set time period in the same period; the average water usage is marked as predictive data.
According to the method, the average water consumption in the same-period set time period is calculated according to the historical water consumption in the set time period, the average water consumption is marked as prediction data, and the water consumption is predicted according to the historical data, so that the predicted result has the support of the historical data, and the predicted result is more accurate.
Preferably, the determining whether the remaining water consumption can meet the requirement according to the prediction data and the remaining water consumption includes:
The predicted data and the residual water consumption are called, and whether the residual water consumption is larger than the predicted data or not is judged; if yes, judging that the residual water consumption can meet the requirement, and continuously detecting the residual water consumption; if not, judging that the residual water consumption can not meet the requirement, and starting water emergency measures.
According to the method, the residual water consumption is judged according to the prediction data, so that when the residual water consumption cannot meet the requirements, the water source can be treated in time, the water consumption of residents is guaranteed, and the phenomenon that the normal domestic water of the residents is influenced due to low residual water consumption is avoided.
Preferably, the emergency water supply means includes:
And calling the number i of the collection point with insufficient residual water consumption, marking the collection point by using a corresponding water source of the standby collection point, and incorporating the water source of the standby collection point into the collection point when the marking times of the collection point are greater than the times threshold.
According to the invention, the collection points with insufficient residual water consumption are processed by using the water sources of the standby collection points, and when the collection points have the condition of insufficient residual water consumption for many times, the water sources of the standby collection points are brought into the corresponding collection points, so that the collection points can be processed according to the actual conditions of the collection points, and the water sources of the collection points can meet the daily water consumption of residents.
Compared with the prior art, the invention has the beneficial effects that:
1. The method comprises the steps of collecting a water sample from a sampling point, obtaining water quality data of the water sample through data collecting equipment, calculating water quality coefficients of a plurality of sampling points according to the water quality data and standard data, judging whether the water quality coefficients are smaller than a set water quality threshold value, and if yes, judging that a water source reaches a use standard; if not, treating the water source which does not reach the standard; processing the water source according to the number of the water source collection point which does not reach the standard, calculating the water quality coefficient of the processed water source, judging whether the processed water source reaches the use standard according to the water quality coefficient and the water quality threshold value, and when the processed water source does not reach the use standard, processing the water source again and detecting the water source; the water source can be used only when the water source reaches the use standard, and the water source is beneficial to guaranteeing the water health of residents.
2. According to the invention, water level data of a plurality of collecting points are collected through water level detection equipment, a water level drop value is analyzed according to the water level data, historical water consumption corresponding to the water level drop value is extracted, and the historical water consumption is divided by the water level drop value to calculate and obtain unit water consumption corresponding to a unit water level; analyzing the water level data and the unit water consumption to obtain the residual water consumption of the water source; acquiring historical water consumption in the same period, calculating average water consumption in a set time period in the same period, and marking the average water consumption as prediction data; judging whether the residual water consumption is larger than the predicted data, if so, judging that the residual water consumption can meet the requirement; if not, starting water emergency measures; when the residual water consumption can not meet the demands, the water source can be treated in time, so that the water consumption of residents can be guaranteed, and the influence on the normal domestic water of the residents due to low residual water consumption is avoided.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic view of an overall frame of the present invention;
FIG. 2 is a schematic diagram showing steps in a specific flow of the present invention;
FIG. 3 is a schematic diagram showing the specific steps of water quality testing according to the present invention;
FIG. 4 is a schematic diagram of the residual water consumption and water consumption prediction step of the present invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1-2, an embodiment of a first aspect of the present invention provides a distributed hydrologic information management platform, including: the system comprises an analysis processing module, a data acquisition module, a terminal management module and a data acquisition module, wherein the analysis processing module is connected with the data acquisition module;
And a data acquisition module: collecting water samples from a plurality of collecting points, and obtaining water quality data of the water samples through data collecting equipment; and collecting water level data of a plurality of collecting points through water level detection equipment; wherein, the water quality data comprises heavy metal content, organic matter content and microorganism content; the plurality of collecting points are arranged according to the water source supply points;
And an analysis and processing module: calculating water quality coefficients of water sources of a plurality of acquisition points based on water quality data, judging whether the water sources reach a use standard according to the water quality coefficients, and if so, continuously detecting the water quality of the water sources; if not, treating the water source which does not reach the standard; and
The residual water consumption is obtained based on water level data analysis, and the water consumption is predicted according to the historical water consumption to obtain prediction data; judging whether the residual water consumption can meet the requirement according to the predicted data and the residual water consumption; if yes, continuously predicting the water consumption; if not, an alarm is sent out, and water emergency measures are started;
And a terminal management module: the data acquisition unit is used for storing the data of the acquisition points in the corresponding acquisition units, integrating the data of all the acquisition units to obtain integrated data, and transmitting the integrated data to the central management unit.
Referring to fig. 3, a water sample is collected from a plurality of collection points, and water quality data of the water sample is obtained through data collection equipment; respectively marking the heavy metal content, the organic matter content and the microorganism content in the water quality data as ZHI, YII and WHI; extracting standard data of water quality, and respectively marking the standard heavy metal content, the standard organic matter content and the standard microorganism content in the standard data as BZ, BY and BW; calculating the water quality coefficients of water samples at a plurality of collecting points through a formula SXi =alpha×exp (ZHi-BZ) +beta×exp (YHi-BY) +gamma×exp (Whi-BW); judging whether the water quality coefficient is smaller than a set water quality threshold value, if so, judging that the water source reaches a use standard, and continuously detecting the water quality coefficient of the water source; if not, judging that the water source does not reach the use standard, calling the number i of the water source which does not reach the standard, positioning the water source to the corresponding water source supply point according to the number, and carrying out sedimentation, filtration and disinfection on the corresponding water source; sampling the treated water source to obtain a treated water sample, calculating the water quality coefficient of the treated water sample, judging whether the treated water source reaches the use standard when the water quality coefficient of the treated water sample is smaller than the water quality coefficient, and if not, carrying out water quality detection on the water source after the water source is treated again.
For example: assuming that two acquisition points 1 and 2 are arranged, the standard data of water quality is BZ=0.2, BY=0.1 and BW=6; α=0.5, β=0.3, γ=0.2; the water quality threshold is set to be 1; water samples are collected from the collection points 1 and 2, water quality data of the two collection points are collected, and two groups of data are obtained as follows:
A first set of data: heavy metal content zh1=0.15, organic content yh1=0.086, microorganism content wh1=5 at collection point 1; sx1=0.846, less than the water quality threshold, the water source at the collection point 1 reaches the use standard; a second set of data: heavy metal content zh2=0.3, organic content yh2=0.12, microorganism content wh2=7 at collection point 2; if sx2=1.402, which is greater than the water quality threshold, the water source of the collection point 2 does not reach the use standard; the water source at the collection point 2 is treated and then re-detected.
Referring to fig. 4, water level data of a plurality of collection points are collected through a water level detection device, and water level drop values are analyzed according to the water level data; extracting historical water consumption corresponding to the water level drop value; dividing the historical water consumption by the water level drop value to calculate and obtain the unit water consumption corresponding to the unit water level; analyzing the water level data and the unit water consumption to obtain the residual water consumption of the water source; acquiring historical water consumption in the same period, calculating average water consumption in a set time period in the same period, and marking the average water consumption as prediction data; the predicted data and the residual water consumption are called, and whether the residual water consumption is larger than the predicted data or not is judged; if yes, judging that the residual water consumption can meet the requirement, and continuously detecting the residual water consumption; if not, judging that the residual water consumption cannot meet the requirement, and starting water emergency measures; and calling the number i of the collection point with insufficient residual water consumption, marking the collection point by using a corresponding water source of the standby collection point, and incorporating the water source of the standby collection point into the collection point when the marking times of the collection point are greater than the times threshold.
It should be noted that, for example, prediction is performed on the water usage of 9 months in this year, the water usage data of 9 months is obtained, and an average value is calculated to obtain prediction data.
For example: assuming that the water level drop values of the acquisition points 1 and 2 are 2m, and the corresponding historical water consumption is 100,150; the unit water consumption of the collecting point 1 is 50, and the unit water consumption of the collecting point 2 is 75; acquiring water level data of the acquisition point 1 and the acquisition point 2 which are respectively 2.3m and 1.2m; the remaining water consumption of the collection point 1 is 115 and the remaining water consumption of the collection point 2 is 90;
if the water consumption of 9 months of the collection points 1 and 2 is predicted, the historical water consumption of the collection points 1 and 2 of 9 months in the last three years is obtained; two sets of data were obtained as follows:
A first set of data: the historical water consumption of the collection point 1 is 92,85,97; if the predicted data is 91.33, the residual water consumption is larger than the predicted data, and the residual water consumption of the acquisition point 1 can meet the requirement;
A second set of data: the historical water consumption of the collection point 2 is 98,112,107; if the predicted data is 105.67, the residual water consumption is smaller than the predicted data, and the residual water consumption of the acquisition point 2 cannot meet the requirement; and (3) using a standby water source corresponding to the acquisition point 2, marking the acquisition point 2, and taking the standby water source into the acquisition point 2 if the marking times of the acquisition point 2 are 4 times and are greater than the time threshold value 3.
The partial data in the formula is obtained by removing dimension and taking the numerical value for calculation, and the formula is obtained by simulating a large amount of acquired data through software and is closest to the real situation; the preset parameters and the preset threshold values in the formula are set by those skilled in the art according to actual conditions or are obtained through mass data simulation.
The working principle of the invention is as follows: the invention collects water samples from a plurality of collection points, and water quality data of the water samples are obtained through data collection equipment; calculating water quality coefficients of water samples of a plurality of acquisition points according to the water quality data and the standard data; judging whether the water quality coefficient is smaller than a set water quality threshold value, if so, judging that the water source reaches a use standard, and continuously detecting the water quality coefficient of the water source; if not, judging that the water source does not reach the use standard, calling the number of the water source which does not reach the standard, positioning the water source to the corresponding water source supply point according to the number, and precipitating the corresponding water source; filtering and sterilizing; sampling the treated water source to obtain a treated water sample, calculating the water quality coefficient of the treated water sample, judging whether the treated water source reaches the use standard when the water quality coefficient of the treated water sample is smaller than the water quality coefficient, and if not, carrying out water quality detection on the water source after the water source is treated again.
The invention collects water level data of a plurality of collecting points through water level detection equipment, and analyzes water level drop values according to the water level data; extracting historical water consumption corresponding to the water level drop value; dividing the historical water consumption by the water level drop value to calculate and obtain the unit water consumption corresponding to the unit water level; analyzing the water level data and the unit water consumption to obtain the residual water consumption of the water source; acquiring historical water consumption in the same period, calculating average water consumption in a set time period in the same period, and marking the average water consumption as prediction data; the predicted data and the residual water consumption are called, and whether the residual water consumption is larger than the predicted data or not is judged; if yes, judging that the residual water consumption can meet the requirement, and continuously detecting the residual water consumption; if not, judging that the residual water consumption cannot meet the requirement, and starting water emergency measures; and calling the number of the collection point with insufficient residual water consumption, marking the collection point by using the corresponding water source of the standby collection point, and incorporating the water source of the standby collection point into the collection point when the marking times of the collection point are greater than the times threshold.
The above embodiments are only for illustrating the technical method of the present invention and not for limiting the same, and it should be understood by those skilled in the art that the technical method of the present invention may be modified or substituted without departing from the spirit and scope of the technical method of the present invention.
Claims (10)
1. A distributed hydrologic information management platform, comprising: the system comprises an analysis processing module, a data acquisition module, a terminal management module and a data acquisition module, wherein the analysis processing module is connected with the data acquisition module; it is characterized in that the method comprises the steps of,
And a data acquisition module: collecting water samples from a plurality of collecting points, and obtaining water quality data of the water samples through data collecting equipment; and collecting water level data of a plurality of collecting points through water level detection equipment; wherein, the water quality data comprises heavy metal content, organic matter content and microorganism content; the plurality of collecting points are arranged according to the water source supply points;
And an analysis and processing module: calculating water quality coefficients of water sources of a plurality of acquisition points based on water quality data, judging whether the water sources reach a use standard according to the water quality coefficients, and if so, continuously detecting the water quality of the water sources; if not, treating the water source which does not reach the standard; and
The residual water consumption is obtained based on water level data analysis, and the water consumption is predicted according to the historical water consumption to obtain prediction data; judging whether the residual water consumption can meet the requirement according to the predicted data and the residual water consumption; if yes, continuously predicting the water consumption; if not, an alarm is sent out, and water emergency measures are started;
And a terminal management module: the data acquisition unit is used for storing the data of the acquisition points in the corresponding acquisition units, integrating the data of all the acquisition units to obtain integrated data, and transmitting the integrated data to the central management unit.
2. A distributed hydrologic information management platform according to claim 1, where the analysis processing module is in communication and/or electrical connection with a data acquisition module, a terminal management module, respectively; the data acquisition module is in communication and/or electrical connection with the data acquisition device and the water level detection device.
3. The distributed hydrologic information management platform of claim 1, wherein the plurality of collection points are set according to a water source supply point, including:
a plurality of water source supply points are called, a data sensor is arranged in the plurality of water source supply points, and a plurality of acquisition points are numbered i according to the arrangement time sequence of the plurality of water source supply points; wherein i=1, 2, …, n, n is a positive integer; the water source supply point refers to a water resource for supplying domestic water to residents.
4. A distributed hydrologic information management platform as claimed in claim 3, wherein said calculating water quality coefficients of a water source based on water quality data includes:
The method comprises the steps of (1) calling water quality data of a plurality of water samples at a collection point, and respectively marking heavy metal content, organic matter content and microorganism content in the water quality data as ZHI, YII and WHI; extracting standard data of water quality, and respectively marking the standard heavy metal content, the standard organic matter content and the standard microorganism content in the standard data as BZ, BY and BW;
Calculating the water quality coefficients of water samples at a plurality of collecting points through a formula SXi =alpha×exp (ZHi-BZ) +beta×exp (YHi-BY) +gamma×exp (Whi-BW); wherein α, β and γ are weight coefficients greater than 0.
5. The distributed hydrologic information management platform of claim 4, wherein the determining whether the water source meets the usage criteria based on the water quality coefficient includes:
The water quality coefficients of the water samples at a plurality of collecting points are called, whether the water quality coefficients are smaller than a set water quality threshold value or not is judged, if yes, the water source is judged to reach the use standard, and the water quality coefficients of the water source are continuously detected; if not, judging that the water source does not reach the use standard, and treating the water source which does not reach the standard.
6. The distributed hydrologic information management platform of claim 5, wherein said processing of a non-compliant water source includes:
The number i of the collecting point of the water source which does not reach the standard is called, the corresponding water source supply point is positioned according to the number, and the corresponding water source is precipitated; filtering and sterilizing; sampling the treated water source to obtain a treated water sample, calculating the water quality coefficient of the treated water sample, judging whether the treated water source reaches the use standard when the water quality coefficient of the treated water sample is smaller than the water quality threshold value, and if not, carrying out water quality detection on the water source after the water source is treated again.
7. The distributed hydrologic information management platform of claim 1, wherein the water level data based analysis results in a remaining water usage, comprising:
Water level data is called, and a water level drop value is analyzed according to the water level data; extracting historical water consumption corresponding to the water level drop value; dividing the historical water consumption by the water level drop value to calculate and obtain the unit water consumption corresponding to the unit water level; and analyzing the water level data and the unit water consumption to obtain the residual water consumption of the water source.
8. The distributed hydrologic information management platform of claim 7, wherein predicting water usage from historical water usage includes:
Acquiring historical water consumption in the same period, and calculating average water consumption in a set time period in the same period; the average water usage is marked as predictive data.
9. The distributed hydrologic information management platform of claim 8, wherein the determining whether the remaining water usage can meet the demand according to the predicted data and the remaining water usage includes:
The predicted data and the residual water consumption are called, and whether the residual water consumption is larger than the predicted data or not is judged; if yes, judging that the residual water consumption can meet the requirement, and continuously detecting the residual water consumption; if not, judging that the residual water consumption can not meet the requirement, and starting water emergency measures.
10. A distributed hydrologic information management platform as claimed in claim 9, wherein the initiating of water emergency action includes:
And calling the number i of the collection point with insufficient residual water consumption, marking the collection point by using a corresponding water source of the standby collection point, and incorporating the water source of the standby collection point into the collection point when the marking times of the collection point are greater than the times threshold.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410253951.3A CN118153864A (en) | 2024-03-06 | 2024-03-06 | Distributed hydrologic information management platform |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410253951.3A CN118153864A (en) | 2024-03-06 | 2024-03-06 | Distributed hydrologic information management platform |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN118153864A true CN118153864A (en) | 2024-06-07 |
Family
ID=91294510
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202410253951.3A Pending CN118153864A (en) | 2024-03-06 | 2024-03-06 | Distributed hydrologic information management platform |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN118153864A (en) |
-
2024
- 2024-03-06 CN CN202410253951.3A patent/CN118153864A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108446864B (en) | Big data analysis-based fault early warning system and method for rail transit equipment | |
| CN112863134B (en) | Intelligent diagnosis system and method for rural sewage treatment facility abnormal operation | |
| CN114047719A (en) | Remote monitoring and evaluating system and operation method for rural domestic sewage treatment facility | |
| CN113610381B (en) | Water quality remote real-time monitoring system based on 5G network | |
| CN113592369B (en) | Utility tunnel operation management system based on data analysis | |
| CN110912737A (en) | Dynamic perception performance early warning method based on hybrid model | |
| CN209640014U (en) | A kind of water quality detection equipment of purifier | |
| CN106940678B (en) | System real-time health degree evaluation and analysis method and device | |
| CN109879475A (en) | Dynamic adjustment type sewage operating condition processing method | |
| CN107527121A (en) | A kind of method of the information system running status diagnosis prediction of power network | |
| CN114021946A (en) | Enterprise environment-friendly housekeeper management system | |
| CN116756505B (en) | Photovoltaic equipment intelligent management system and method based on big data | |
| CN117849845A (en) | Radiation monitoring data management system | |
| CN117233342A (en) | Accurate monitoring method and system for river sewage outlet based on confidence interval algorithm | |
| CN118153864A (en) | Distributed hydrologic information management platform | |
| CN110413482B (en) | Detection method and device | |
| CN116841790A (en) | Off-line business monitoring method and system based on risk control | |
| CN116307886A (en) | Method and device for monitoring production state of enterprise in real time | |
| CN207380516U (en) | A kind of sewage disposal remote centralized monitoring system | |
| CN114116843A (en) | Village and town small sewage treatment facility operation monitoring method based on electricity consumption data | |
| CN103631232A (en) | Data monitoring control method and data monitoring control device | |
| CN109492184B (en) | Method and system for judging whether energy value multipoint measurement difference exceeds limit value | |
| CN112465666A (en) | Design method of intelligent water affair platform based on water circulation | |
| CN112311662B (en) | Intelligent oilfield edge computing gateway | |
| CN118014191A (en) | Dynamic evaluation method and system for service function of water area ecological system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |