CN115792158B - Method and device for realizing dynamic water quality monitoring based on Internet of things - Google Patents
Method and device for realizing dynamic water quality monitoring based on Internet of things Download PDFInfo
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- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
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Abstract
The invention relates to the technical field of water quality detection, in particular to a method and a device for realizing dynamic water quality monitoring based on the Internet of things, which comprise the following steps: receiving a water quality monitoring instruction, starting a plurality of groups of water chemical index detectors which are placed in a water area in advance according to the water quality monitoring instruction, receiving water chemical indexes returned by each group of water chemical index detectors and summarizing to obtain a water chemical index set, and constructing a water quality acquisition point matrix according to the water chemical index set, wherein each row of the water quality acquisition point matrix represents all water chemical indexes returned by one water chemical index acquisition point, calculating to obtain an index difference matrix according to the water quality acquisition point matrix, acquiring a plurality of groups of index difference matrices of different acquisition time points, inputting the index difference matrices of different acquisition time points into a pre-constructed water quality monitoring model, and executing water quality analysis to obtain an analysis result of water quality health degree. The invention can solve the problems of low intelligence and large detection error of water quality detection.
Description
Technical Field
The invention relates to the technical field of water quality detection, in particular to a method, a device, electronic equipment and a computer readable storage medium for realizing dynamic water quality monitoring based on the Internet of things.
Background
The water source health has important significance for sustainable development of human economy, life and the like, and when the quality of water quality is influenced by metals, chemical substances, waste emissions and the like, the water source is extremely easy to cause permanent irreversible damage.
The current common water quality monitoring method mainly depends on a water quality detector, namely, a water source to be detected is manually collected, and the water quality detector can effectively detect the water quality of the water source in the soil to a certain extent based on the water quality detector, but manual cooperation is needed, namely, the water quality detector is used for detecting the water quality in a laboratory after the water source is manually collected or the water quality detector is used for directly detecting the water quality near the water source. The water quality detection of the water quality detector based on manual cooperation is low in intelligence and has a large detection error.
Disclosure of Invention
The invention provides a method and a device for realizing dynamic water quality monitoring based on the Internet of things and a computer readable storage medium, and mainly aims to solve the problems of low water quality detection intelligence and large detection error.
In order to achieve the above purpose, the method for realizing the dynamic monitoring of water quality based on the internet of things provided by the invention comprises the following steps:
Receiving a water quality monitoring instruction, and starting a plurality of groups of water chemical index detectors which are pre-placed in a water area according to the water quality monitoring instruction;
receiving the water chemistry indexes returned by each group of water chemistry index detectors and summarizing to obtain a water chemistry index set;
constructing a water quality acquisition point matrix according to the water chemical index set, wherein each row of the water quality acquisition point matrix represents all water chemical indexes returned by one water chemical index acquisition point;
calculating according to the water quality acquisition point matrix to obtain an index difference matrix;
and acquiring a plurality of groups of index difference matrixes at different acquisition time points, inputting the index difference matrixes at different acquisition time points into a pre-constructed water quality monitoring model to perform water quality analysis, and obtaining an analysis result of the water quality health degree.
Optionally, the method for placing the multiple groups of water chemical index detectors in the water area comprises the following steps:
calculating the area and shape of a water area according to the water quality monitoring instruction;
determining one or more groups of water chemical index acquisition points of the water area according to the area and the shape of the water area;
one or more groups of water chemical index detectors are placed in each water chemical index collection point, and each group of water chemical index detectors is determined to be capable of returning the monitored water chemical index to a water quality detection system, wherein the water quality detection system can send out the water quality monitoring instruction.
Optionally, the receiving the water chemistry indexes returned by each group of water chemistry index detectors and summarizing to obtain a water chemistry index set includes:
recovering all the water chemical indexes returned by the water chemical index detectors in each water chemical index collection point, and judging whether unremitted water chemical index detectors exist or not;
if no unremitted water chemical index detector exists, each water chemical index acquisition point is taken as a transmitting unit, and the water chemical index set with the same number as that of the water chemical index acquisition points is obtained;
if the unreturned water chemical index detector exists, determining a water chemical index acquisition point where the unreturned water chemical index detector is located, and generating a detector maintenance instruction according to the unreturned water chemical index detector and the water chemical index acquisition point where the unreturned water chemical index detector is located;
the inspection instruction of the detector is transmitted back to the water quality detection system, and the water quality detection system is utilized to inform water quality monitoring personnel;
receiving an overhaul result determined by a water quality monitoring person according to the overhaul instruction of the detector, wherein the overhaul result comprises current overhaul and delayed overhaul;
when the overhauling result is the current overhauling, waiting for overhauling or replacing the unremitted water chemistry index detector by a water quality monitoring person, receiving the water chemistry index returned by the overhauled or replaced water chemistry index detector, and summarizing to obtain the water chemistry index set;
And when the overhaul result is deferred overhaul, determining two groups of water chemistry index acquisition points which are adjacent to the water chemistry index acquisition points where the unreturned water chemistry index detector is located, taking the average value of the water chemistry indexes returned by the two groups of water chemistry index acquisition points which are adjacent to each other as the unreturned water chemistry index of the unreturned water chemistry index detector, and summarizing to obtain the water chemistry index set.
Optionally, the constructing a water quality acquisition point matrix according to the water chemistry index set includes:
receiving a water chemistry index core point selected by a water quality monitoring person from all water chemistry index acquisition points;
sequencing all the water chemistry index acquisition points according to the distance from the water chemistry index core points to obtain a plurality of groups of water chemistry index acquisition points in sequence from the near to the far;
and taking all the water chemical indexes of the water chemical index core points as the central dimension of the row dimension of the matrix, and sequentially taking all the water chemical indexes of the water chemical index acquisition points from the near to the far as the upper and lower multiple groups of the central dimension to construct and obtain the water quality acquisition point matrix.
Optionally, the construction form of the water quality acquisition point matrix is as follows:
wherein ,Xt A water quality acquisition point matrix corresponding to a time point t for acquiring a water chemical index set is represented by x mn An nth water chemistry index representing an mth set of water chemistry index collection points.
Optionally, the calculating according to the water quality acquisition point matrix to obtain an index difference matrix includes:
extracting n water chemical indexes of the central dimension of the water quality acquisition point matrix, wherein the construction form of the n water chemical indexes of the central dimension is (x) s1 x s2 …x sn ) S represents the dimension number of the central dimension of the water quality acquisition point matrix;
sequentially calculating the difference values of n water chemical indexes of the central dimension and n water chemical indexes of each other dimension of the water quality acquisition point matrix to obtain m-1 groups of water chemical index difference values;
and according to the positions of n water chemical indexes or water chemical index difference values of each dimension in the raw water quality acquisition point matrix, correspondingly arranging to obtain the index difference matrix.
Optionally, inputting the index difference matrix of different acquisition time points into a pre-constructed water quality monitoring model to perform water quality analysis, so as to obtain an analysis result of water quality health degree, including:
constructing a water quality matrix set according to index difference matrixes of different acquisition time points;
inputting the water quality matrix set into a pre-constructed water quality monitoring model, wherein the water quality monitoring model is constructed by combining logic of a back support vector machine and a front BP neural network;
And analyzing the water quality matrix set according to the water quality monitoring model to obtain an analysis result of the water quality health degree, wherein the analysis result of the water quality health degree comprises six analysis results of serious pollution, heavy pollution, light pollution, good water quality and excellent water quality.
Optionally, the water chemistry index includes ph, hardness, ammonia nitrogen, nitrite, nitrate, chloride, dissolved oxygen, chemical oxygen consumption, biological oxygen demand, and total organic carbon.
Optionally, the construction form of the water quality matrix set is as follows:
Y＝[Y t1 ,Y t2 ,…,Y tp ]
wherein Y represents a water quality matrix set constructed according to index difference matrixes of different acquisition time points, Y tp And (4) representing an index difference matrix corresponding to the tp acquisition time point.
In order to solve the above problems, the present invention further provides a device for implementing dynamic water quality monitoring based on the internet of things, the device comprising:
the monitoring instruction receiving module is used for receiving a water quality monitoring instruction and starting a plurality of groups of water chemical index detectors which are pre-placed in the water area according to the water quality monitoring instruction;
the water chemistry index collection module is used for receiving the water chemistry indexes returned by each group of water chemistry index detectors and summarizing the water chemistry indexes to obtain a water chemistry index set;
The water quality acquisition point matrix construction module is used for constructing a water quality acquisition point matrix according to the water chemical index set, wherein each row of the water quality acquisition point matrix represents all water chemical indexes returned by one water chemical index acquisition point;
the index difference matrix construction module is used for calculating an index difference matrix according to the water quality acquisition point matrix;
the water quality analysis module is used for acquiring a plurality of groups of index difference matrixes at different acquisition time points, inputting the index difference matrixes at different acquisition time points into a pre-constructed water quality monitoring model to execute water quality analysis, and obtaining an analysis result of the water quality health degree.
In order to solve the above-mentioned problems, the present invention also provides an electronic apparatus including:
a memory storing at least one instruction; a kind of electronic device with high-pressure air-conditioning system
And the processor executes the instructions stored in the memory to realize the method for realizing the dynamic monitoring of the water quality based on the Internet of things.
In order to solve the above problems, the present invention further provides a computer readable storage medium, where at least one instruction is stored, where the at least one instruction is executed by a processor in an electronic device to implement the method for implementing water quality dynamic monitoring based on the internet of things.
In order to solve the problems described in the background art, the embodiment of the invention firstly receives the water quality monitoring instruction, starts a plurality of groups of water chemical index detectors which are pre-placed in the water area according to the water quality monitoring instruction, receives the water chemical index returned by each group of water chemical index detectors and gathers the water chemical index to obtain a water chemical index set, and can be understood that the embodiment of the invention does not directly use the water quality detectors to execute water quality detection manually, but starts a plurality of groups of water chemical index detectors which are pre-placed in the water area. Further, a water quality acquisition point matrix is constructed according to the water quality index set, wherein each row of the water quality acquisition point matrix represents all water chemical indexes returned by one water quality index acquisition point, an index difference matrix is calculated according to the water quality acquisition point matrix, and it is to be explained that the index difference matrix can effectively reflect water chemical indexes of the detected water area at different time points and different water area positions, detection errors can be effectively avoided, a plurality of groups of index difference matrices at different acquisition time points are finally obtained, and the index difference matrices at different acquisition time points are input into a pre-constructed water quality monitoring model to perform water quality analysis, so that an analysis result of water quality health degree is obtained. Therefore, the method, the device, the electronic equipment and the computer readable storage medium for realizing the dynamic water quality monitoring based on the Internet of things can solve the problems of low intelligent water quality detection and large detection error.
Drawings
FIG. 1 is a schematic flow chart of a method for implementing dynamic monitoring of water quality based on the Internet of things according to an embodiment of the application;
FIG. 2 is a functional block diagram of a device for implementing dynamic monitoring of water quality based on the Internet of things according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of an electronic device for implementing the method for implementing dynamic monitoring of water quality based on the internet of things according to an embodiment of the present application.
The achievement of the objects, functional features and advantages of the present application will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
The embodiment of the application provides a method for realizing dynamic water quality monitoring based on the Internet of things. The execution main body for realizing the water quality dynamic monitoring method based on the Internet of things comprises at least one of electronic equipment, such as a server, a terminal and the like, which can be configured to execute the method provided by the embodiment of the application. In other words, the method for implementing the dynamic monitoring of the water quality based on the internet of things can be implemented by software or hardware installed in a terminal device or a server device, and the software can be a blockchain platform. The service end includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, and the like.
Referring to fig. 1, a flow chart of a method for implementing dynamic monitoring of water quality based on internet of things according to an embodiment of the invention is shown. In this embodiment, the method for implementing dynamic monitoring of water quality based on the internet of things includes:
s1, receiving a water quality monitoring instruction, and starting a plurality of groups of water chemical index detectors which are pre-placed in a water area according to the water quality monitoring instruction.
It should be explained that, the water quality monitoring instruction is generally sent by a water quality environment manager, and because the water flow in the water area presents a dynamic flow process under the general condition, the water flow in the water area receives the inflow water from the upstream and gradually flows into the downflow water area, the water quality change in the water area in the dynamic flow process presents great uncertainty, especially in the vicinity of a chemical plant, waste iron, waste copper or mercury storage and the like are often abandoned maliciously, so that if the dynamic water quality detection is implemented extremely efficiently without accumulation, the excessive pollution of the water area is extremely easy to be caused, thereby causing irreversible water quality pollution, and how to efficiently realize the water quality detection is the technical problem mainly solved by the embodiment of the invention.
It can be understood that the water chemistry index is one of water quality evaluation indexes, and mainly comprises indexes such as PH value, hardness, ammonia nitrogen, nitrite, nitrate, chloride, dissolved oxygen, chemical oxygen consumption, biological oxygen demand, total organic carbon and the like, so that a plurality of groups of water chemistry index detectors are placed in a water area in advance, and in detail, the placement method of the plurality of groups of water chemistry index detectors in the water area comprises the following steps:
Calculating the area and shape of a water area according to the water quality monitoring instruction;
determining one or more groups of water chemical index acquisition points of the water area according to the area and the shape of the water area;
one or more groups of water chemical index detectors are placed in each water chemical index collection point, and each group of water chemical index detectors is determined to be capable of returning the monitored water chemical index to a water quality detection system, wherein the water quality detection system can send out the water quality monitoring instruction.
The water quality detection personnel in a city are mainly responsible for water quality detection work near the urban chemical industry factory group, so that the nearby water area of the chemical industry factory group is determined, and 25 groups of water chemical index acquisition points are determined according to the area and the shape of the nearby water area of the chemical industry factory group, so that a pH value detector, a hardness detector, an ammonia nitrogen detector, a nitrite detector, a nitrate detector and the like are placed at the 25 groups of water chemical index acquisition points.
It should be emphasized that the same number of water chemical index detectors of the same type are placed at each set of water chemical index collection points, for example, 8 water chemical index detectors of different types are placed at the 1 st set of water chemical index collection points, and 8 water chemical index detectors of different types are placed at the 2 nd set, 3 rd set and up to the 20 th set.
S2, receiving the water chemistry indexes returned by each group of water chemistry index detectors and summarizing to obtain a water chemistry index set.
It can be understood that each type of water chemistry index detector collects one type of water chemistry index, the first step of the embodiment of the invention is to construct a water quality acquisition point matrix according to water chemistry indexes of different types and different acquisition times, and the precondition of constructing the water quality acquisition point matrix is to collect a water chemistry index set, in detail, the steps of receiving and summarizing the water chemistry indexes returned by each group of water chemistry index detectors to obtain the water chemistry index set include:
recovering all the water chemical indexes returned by the water chemical index detectors in each water chemical index collection point, and judging whether unremitted water chemical index detectors exist or not;
if no unremitted water chemical index detector exists, each water chemical index acquisition point is taken as a transmitting unit, and the water chemical index set with the same number as that of the water chemical index acquisition points is obtained;
if the unreturned water chemical index detector exists, determining a water chemical index acquisition point where the unreturned water chemical index detector is located, and generating a detector maintenance instruction according to the unreturned water chemical index detector and the water chemical index acquisition point where the unreturned water chemical index detector is located;
The inspection instruction of the detector is transmitted back to the water quality detection system, and the water quality detection system is utilized to inform water quality monitoring personnel;
receiving an overhaul result determined by a water quality monitoring person according to the overhaul instruction of the detector, wherein the overhaul result comprises current overhaul and delayed overhaul;
when the overhauling result is the current overhauling, waiting for overhauling or replacing the unremitted water chemistry index detector by a water quality monitoring person, receiving the water chemistry index returned by the overhauled or replaced water chemistry index detector, and summarizing to obtain the water chemistry index set;
and when the overhaul result is deferred overhaul, determining two groups of water chemistry index acquisition points which are adjacent to the water chemistry index acquisition points where the unreturned water chemistry index detector is located, taking the average value of the water chemistry indexes returned by the two groups of water chemistry index acquisition points which are adjacent to each other as the unreturned water chemistry index of the unreturned water chemistry index detector, and summarizing to obtain the water chemistry index set.
The small tension performs water quality detection on the water area nearby the chemical industry factory group to determine 20 groups of water chemical index collection points, but the ammonia nitrogen detector of the 3 rd group of water chemical index collection points is found to not transmit back ammonia nitrogen chemical index, at the moment, the small tension still needs to process other matters and can not timely arrive at the water area nearby the chemical industry factory group to replace the ammonia nitrogen detector, so that a maintenance result of deferred maintenance is initiated, the embodiment of the invention needs to search two groups of water chemical index collection points adjacent to the 3 rd group of water chemical index collection points, and find two groups of water chemical index collection points which are respectively the 5 th group of water chemical index collection points and the 8 th group of water chemical index collection points, so that the two groups of water chemical index returned by the 5 th group of water chemical index collection points and the 8 th group of water chemical index collection points are averaged to serve as the ammonia nitrogen chemical index returned by the ammonia nitrogen detector of the 3 rd group of water chemical index collection points.
S3, constructing a water quality acquisition point matrix according to the water chemical index set, wherein each row of the water quality acquisition point matrix represents all water chemical indexes returned by one water chemical index acquisition point.
In detail, the construction of the water quality acquisition point matrix according to the water chemistry index set comprises the following steps:
receiving a water chemistry index core point selected by a water quality monitoring person from all water chemistry index acquisition points;
sequencing all the water chemistry index acquisition points according to the distance from the water chemistry index core points to obtain a plurality of groups of water chemistry index acquisition points in sequence from the near to the far;
and taking all the water chemical indexes of the water chemical index core points as the central dimension of the row dimension of the matrix, and sequentially taking all the water chemical indexes of the water chemical index acquisition points from the near to the far as the upper and lower multiple groups of the central dimension to construct and obtain the water quality acquisition point matrix.
For example, the small implementation determines 25 groups of water chemistry index collection points for the water area near the chemical industry factory group, the small implementation Zhang Queding, the 13 th group of water chemistry index collection points are water chemistry index core points (the reasons for determining the water chemistry index core points are many, for example, the 13 th group of water chemistry index collection points are just the center position of the water area near the chemical industry factory group in the geographic position, or the 13 th group of water chemistry index collection points are nearest to the waste water outlet of the chemical industry factory group, etc.), the water quality collection point matrix is obtained through distance sorting, the 9 th group of water chemistry index collection points and the 2 nd group of water chemistry index collection points which are nearest to the 13 th group of water chemistry index collection points are respectively, therefore, all water chemistry index collection points of the 13 th group of water chemistry index collection points are used as the center dimension of the row dimension of the matrix, all water chemistry index collection points of the 9 th group of water chemistry index collection points and all water chemistry index collection points of the 2 th group are used as the upper dimension and lower dimension nearest to the center dimension, and so on.
In detail, the construction form of the water quality acquisition point matrix is as follows:
wherein ,Xt A water quality acquisition point matrix corresponding to a time point t for acquiring a water chemical index set is represented by x mn An nth water chemistry index representing an mth set of water chemistry index collection points.
For example, if 25 sets of water chemical index collection points are determined in the water area near the chemical industry factory group, the m value of the corresponding water quality collection point matrix is 25, and if 50 water chemical indexes are determined in the water area near the chemical industry factory group, the n value is 50.
And S4, calculating according to the water quality acquisition point matrix to obtain an index difference matrix.
In detail, the calculating the index difference matrix according to the water quality acquisition point matrix includes:
extracting n water chemical indexes of the central dimension of the water quality acquisition point matrix, wherein the construction form of the n water chemical indexes of the central dimension is (x) s1 x s2 …x sn ) S represents the dimension number of the central dimension of the water quality acquisition point matrix;
sequentially calculating the difference values of n water chemical indexes of the central dimension and n water chemical indexes of each other dimension of the water quality acquisition point matrix to obtain m-1 groups of water chemical index difference values;
and constructing and obtaining the index difference matrix according to the n water chemistry indexes of the center dimension and the m-1 group water chemistry index difference values.
For example, the dimension of the water quality acquisition point matrix constructed by the 25 th set of 50 water chemical indexes is 25×50, and the 13 th set of the above explanation is the center dimension, s=13, that is, all 50 water chemical indexes of the 13 th row of the water quality acquisition point matrix of 25×50 are acquired, and all 50 water chemical indexes of the 13 th row are correspondingly subtracted from the water chemical indexes of the other 1 st row, 2 nd row, …, 12 th row, 14 th row, … th row, and 25 th row, so that 24 sets of water chemical index difference values are obtained in total, wherein the number of the water chemical index difference values of each set is still 50.
Further, the index difference matrix is constructed according to the n water chemistry indexes of the center dimension and the m-1 group water chemistry index difference values, and the index difference matrix comprises the following components:
and according to the positions of n water chemical indexes or water chemical index difference values of each dimension in the raw water quality acquisition point matrix, correspondingly arranging to obtain the index difference matrix.
Illustratively, the difference between the 50 water chemistry index of row 1 and row 13 (i.e., the water chemistry index difference) remains row 1 at the location of the index difference matrix.
S5, acquiring a plurality of groups of index difference matrixes at different acquisition time points, and inputting the index difference matrixes at different acquisition time points into a pre-constructed water quality monitoring model to perform water quality analysis, so as to obtain an analysis result of the water quality health degree.
It will be appreciated that X t The water quality acquisition point matrix corresponding to the time point t for acquiring the water chemical index set is represented, and the corresponding index difference matrix is Y t Therefore, according to the steps S1-S4, index difference matrixes of different acquisition time points can be obtained sequentially.
Further, the inputting the index difference matrix of different acquisition time points into a pre-constructed water quality monitoring model to perform water quality analysis to obtain an analysis result of water quality health degree, including:
constructing a water quality matrix set according to index difference matrixes of different acquisition time points, wherein the construction form of the water quality matrix set is as follows:
Y＝[Y t1 ,Y t2 ,…,Y tp ]
wherein Y represents a water quality matrix set constructed according to index difference matrixes of different acquisition time points, Y tp Representing an index difference matrix corresponding to tp as an acquisition time point;
inputting the water quality matrix set into a pre-constructed water quality monitoring model, wherein the water quality monitoring model is constructed by combining logic of a back support vector machine and a front BP neural network;
and analyzing the water quality matrix set according to the water quality monitoring model to obtain an analysis result of the water quality health degree, wherein the analysis result of the water quality health degree comprises six analysis results of serious pollution, heavy pollution, light pollution, good water quality and excellent water quality.
Exemplary, small-scale to chemical plantsThe water quality detection is carried out in the water area nearby the group, the detection time span is 1 month, namely 25 groups of water chemical index collection points are arranged, 50 water chemical indexes are collected 3 times a day, namely 90 times 50 water chemical indexes are collected 1 month, and 90 groups of index difference matrixes are correspondingly obtained, namely Y= [ Y ] t1 ,Y t2 ,…,Y t90 ]。
Further, the water quality matrix set constructed by the 90 groups of index difference matrixes is input into a water quality monitoring model, so that an analysis result of the water quality health degree of the water areas nearby the chemical industry factory group is obtained through analysis.
In order to solve the problems described in the background art, the embodiment of the invention firstly receives the water quality monitoring instruction, starts a plurality of groups of water chemical index detectors which are pre-placed in the water area according to the water quality monitoring instruction, receives the water chemical index returned by each group of water chemical index detectors and gathers the water chemical index to obtain a water chemical index set, and can be understood that the embodiment of the invention does not directly use the water quality detectors to execute water quality detection manually, but starts a plurality of groups of water chemical index detectors which are pre-placed in the water area. Further, a water quality acquisition point matrix is constructed according to the water quality index set, wherein each row of the water quality acquisition point matrix represents all water chemical indexes returned by one water quality index acquisition point, an index difference matrix is calculated according to the water quality acquisition point matrix, and it is to be explained that the index difference matrix can effectively reflect water chemical indexes of the detected water area at different time points and different water area positions, detection errors can be effectively avoided, a plurality of groups of index difference matrices at different acquisition time points are finally obtained, and the index difference matrices at different acquisition time points are input into a pre-constructed water quality monitoring model to perform water quality analysis, so that an analysis result of water quality health degree is obtained. Therefore, the method, the device, the electronic equipment and the computer readable storage medium for realizing the dynamic water quality monitoring based on the Internet of things can solve the problems of low intelligent water quality detection and large detection error.
Fig. 2 is a functional block diagram of a device for implementing dynamic monitoring of water quality based on internet of things according to an embodiment of the present invention.
The device 100 for realizing the dynamic water quality monitoring based on the Internet of things can be installed in electronic equipment. According to the implemented functions, the device 100 for dynamically monitoring water quality based on the internet of things may include a monitoring instruction receiving module 101, a water chemistry index collecting module 102, a water quality acquisition point matrix constructing module 103, an index difference matrix constructing module 104 and a water quality analyzing module 105. The module of the invention, which may also be referred to as a unit, refers to a series of computer program segments, which are stored in the memory of the electronic device, capable of being executed by the processor of the electronic device and of performing a fixed function.
The monitoring instruction receiving module 101 is configured to receive a water quality monitoring instruction, and start a plurality of groups of water chemical index detectors pre-placed in a water area according to the water quality monitoring instruction;
the water chemistry index collection module 102 is configured to receive water chemistry indexes returned by each group of water chemistry index detectors and collect water chemistry index sets;
the water quality acquisition point matrix construction module 103 is used for calculating an index difference matrix according to the water quality acquisition point matrix;
The index difference matrix construction module 104 is configured to calculate an index difference matrix according to the water quality acquisition point matrix;
the water quality analysis module 105 is configured to obtain a plurality of sets of index difference matrices of different collection time points, and input the index difference matrices of different collection time points into a pre-constructed water quality monitoring model to perform water quality analysis, so as to obtain an analysis result of water quality health degree.
In detail, the modules in the device 100 for implementing dynamic monitoring of water quality based on internet of things in the embodiment of the present invention adopt the same technical means as the above-mentioned method for managing a product supply chain based on blockchain in fig. 1, and can produce the same technical effects, which are not described herein.
Fig. 3 is a schematic structural diagram of an electronic device for implementing a method for implementing dynamic monitoring of water quality based on the internet of things according to an embodiment of the present invention.
The electronic device 1 may comprise a processor 10, a memory 11 and a bus 12, and may further comprise a computer program stored in the memory 11 and executable on the processor 10, such as a program for implementing a water quality dynamic monitoring method based on the internet of things.
The memory 11 includes at least one type of readable storage medium, including flash memory, a mobile hard disk, a multimedia card, a card memory (e.g., SD or DX memory, etc.), a magnetic memory, a magnetic disk, an optical disk, etc. The memory 11 may in some embodiments be an internal storage unit of the electronic device 1, such as a removable hard disk of the electronic device 1. The memory 11 may in other embodiments also be an external storage device of the electronic device 1, such as a plug-in mobile hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card) or the like, which are provided on the electronic device 1. Further, the memory 11 may also include both an internal storage unit and an external storage device of the electronic device 1. The memory 11 may be used to store not only application software installed in the electronic device 1 and various data, such as codes for implementing a water quality dynamic monitoring method program based on the internet of things, but also temporarily store data that has been output or is to be output.
The processor 10 may be comprised of integrated circuits in some embodiments, for example, a single packaged integrated circuit, or may be comprised of multiple integrated circuits packaged with the same or different functions, including one or more central processing units (Central Processing unit, CPU), microprocessors, digital processing chips, graphics processors, combinations of various control chips, and the like. The processor 10 is a Control Unit (Control Unit) of the electronic device, connects various components of the entire electronic device using various interfaces and lines, executes or executes programs or modules stored in the memory 11 (for example, a program for implementing a water quality dynamic monitoring method based on the internet of things, etc.), and invokes data stored in the memory 11 to perform various functions of the electronic device 1 and process the data.
The bus 12 may be a peripheral component interconnect standard (peripheral component interconnect, PCI) bus, or an extended industry standard architecture (extended industry standard architecture, EISA) bus, among others. The bus 12 may be divided into an address bus, a data bus, a control bus, etc. The bus 12 is arranged to enable a connection communication between the memory 11 and at least one processor 10 etc.
Fig. 3 shows only an electronic device with components, it being understood by a person skilled in the art that the structure shown in fig. 3 does not constitute a limitation of the electronic device 1, and may comprise fewer or more components than shown, or may combine certain components, or may be arranged in different components.
For example, although not shown, the electronic device 1 may further include a power source (such as a battery) for supplying power to each component, and preferably, the power source may be logically connected to the at least one processor 10 through a power management device, so that functions of charge management, discharge management, power consumption management, and the like are implemented through the power management device. The power supply may also include one or more of any of a direct current or alternating current power supply, recharging device, power failure detection circuit, power converter or inverter, power status indicator, etc. The electronic device 1 may further include various sensors, bluetooth modules, wi-Fi modules, etc., which will not be described herein.
Further, the electronic device 1 may also comprise a network interface, optionally the network interface may comprise a wired interface and/or a wireless interface (e.g. WI-FI interface, bluetooth interface, etc.), typically used for establishing a communication connection between the electronic device 1 and other electronic devices.
The electronic device 1 may optionally further comprise a user interface, which may be a Display, an input unit, such as a Keyboard (Keyboard), or a standard wired interface, a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch, or the like. The display may also be referred to as a display screen or display unit, as appropriate, for displaying information processed in the electronic device 1 and for displaying a visual user interface.
It should be understood that the embodiments described are for illustrative purposes only and are not limited to this configuration in the scope of the patent application.
The program for implementing the method for dynamically monitoring the water quality based on the internet of things stored in the memory 11 of the electronic device 1 is a combination of a plurality of instructions, and when running in the processor 10, the method can be implemented:
receiving a water quality monitoring instruction, and starting a plurality of groups of water chemical index detectors which are pre-placed in a water area according to the water quality monitoring instruction;
receiving the water chemistry indexes returned by each group of water chemistry index detectors and summarizing to obtain a water chemistry index set;
Constructing a water quality acquisition point matrix according to the water chemical index set, wherein each row of the water quality acquisition point matrix represents all water chemical indexes returned by one water chemical index acquisition point;
calculating according to the water quality acquisition point matrix to obtain an index difference matrix;
and acquiring a plurality of groups of index difference matrixes at different acquisition time points, inputting the index difference matrixes at different acquisition time points into a pre-constructed water quality monitoring model to perform water quality analysis, and obtaining an analysis result of the water quality health degree.
Specifically, the specific implementation method of the above instructions by the processor 10 may refer to descriptions of related steps in the corresponding embodiments of fig. 1 to 3, which are not repeated herein.
Further, the modules/units integrated in the electronic device 1 may be stored in a computer readable storage medium if implemented in the form of software functional units and sold or used as separate products. The computer readable storage medium may be volatile or nonvolatile. For example, the computer readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM).
The present invention also provides a computer readable storage medium storing a computer program which, when executed by a processor of an electronic device, can implement:
receiving a water quality monitoring instruction, and starting a plurality of groups of water chemical index detectors which are pre-placed in a water area according to the water quality monitoring instruction;
receiving the water chemistry indexes returned by each group of water chemistry index detectors and summarizing to obtain a water chemistry index set;
constructing a water quality acquisition point matrix according to the water chemical index set, wherein each row of the water quality acquisition point matrix represents all water chemical indexes returned by one water chemical index acquisition point;
calculating according to the water quality acquisition point matrix to obtain an index difference matrix;
and acquiring a plurality of groups of index difference matrixes at different acquisition time points, inputting the index difference matrixes at different acquisition time points into a pre-constructed water quality monitoring model to perform water quality analysis, and obtaining an analysis result of the water quality health degree.
In the several embodiments provided in the present invention, it should be understood that the disclosed apparatus, device and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is merely a logical function division, and there may be other manners of division when actually implemented.
The modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical units, may be located in one place, or may be distributed over multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional module in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units can be realized in a form of hardware or a form of hardware and a form of software functional modules.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof.
The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference signs in the claims shall not be construed as limiting the claim concerned.
The blockchain is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, consensus mechanism, encryption algorithm and the like. The Blockchain (Blockchain), which is essentially a decentralised database, is a string of data blocks that are generated by cryptographic means in association, each data block containing a batch of information of network transactions for verifying the validity of the information (anti-counterfeiting) and generating the next block. The blockchain may include a blockchain underlying platform, a platform product services layer, an application services layer, and the like.
Furthermore, it is evident that the word "comprising" does not exclude other elements or steps, and that the singular does not exclude a plurality. A plurality of units or means recited in the system claims can also be implemented by means of software or hardware by means of one unit or means. The terms second, etc. are used to denote a name, but not any particular order.
Finally, it should be noted that the above-mentioned embodiments are merely for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications and equivalents may be made to the technical solution of the present invention without departing from the spirit and scope of the technical solution of the present invention.
Claims (2)
1. A method for realizing dynamic water quality monitoring based on the Internet of things is characterized by comprising the following steps:
receiving a water quality monitoring instruction, and starting a plurality of groups of water chemical index detectors which are pre-placed in a water area according to the water quality monitoring instruction;
receiving the water chemistry indexes returned by each group of water chemistry index detectors and summarizing to obtain a water chemistry index set;
constructing a water quality acquisition point matrix according to the water chemical index set, wherein each row of the water quality acquisition point matrix represents all water chemical indexes returned by one water chemical index acquisition point;
calculating according to the water quality acquisition point matrix to obtain an index difference matrix;
acquiring a plurality of groups of index difference matrixes at different acquisition time points, inputting the index difference matrixes at different acquisition time points into a pre-constructed water quality monitoring model to perform water quality analysis, and obtaining an analysis result of the water quality health degree;
the placement method of the multi-group water chemical index detector in the water area comprises the following steps:
calculating the area and shape of a water area according to the water quality monitoring instruction;
determining one or more groups of water chemical index acquisition points of the water area according to the area and the shape of the water area;
one or more groups of water chemical index detectors are placed in each water chemical index collection point, and each group of water chemical index detectors is determined to be capable of returning the monitored water chemical index to a water quality detection system, wherein the water quality detection system can send out the water quality monitoring instruction;
The method for receiving and summarizing the water chemistry indexes returned by each group of water chemistry index detectors to obtain a water chemistry index set comprises the following steps:
recovering all the water chemical indexes returned by the water chemical index detectors in each water chemical index collection point, and judging whether unremitted water chemical index detectors exist or not;
if no unremitted water chemical index detector exists, each water chemical index acquisition point is taken as a transmitting unit, and the water chemical index set with the same number as that of the water chemical index acquisition points is obtained;
if the unreturned water chemical index detector exists, determining a water chemical index acquisition point where the unreturned water chemical index detector is located, and generating a detector maintenance instruction according to the unreturned water chemical index detector and the water chemical index acquisition point where the unreturned water chemical index detector is located;
the inspection instruction of the detector is transmitted back to the water quality detection system, and the water quality detection system is utilized to inform water quality monitoring personnel;
receiving an overhaul result determined by a water quality monitoring person according to the overhaul instruction of the detector, wherein the overhaul result comprises current overhaul and delayed overhaul;
when the overhauling result is the current overhauling, waiting for overhauling or replacing the unremitted water chemistry index detector by a water quality monitoring person, receiving the water chemistry index returned by the overhauled or replaced water chemistry index detector, and summarizing to obtain the water chemistry index set;
When the overhaul result is deferred overhaul, two groups of water chemistry index acquisition points which are adjacent to the water chemistry index acquisition points where the unreturned water chemistry index detector is located are determined, and the average value of the water chemistry indexes returned by the two groups of water chemistry index acquisition points which are adjacent to each other is used as the unreturned water chemistry index of the unreturned water chemistry index detector, and the water chemistry index set is obtained in a summarizing mode;
the construction of the water quality acquisition point matrix according to the water chemistry index set comprises the following steps:
receiving a water chemistry index core point selected by a water quality monitoring person from all water chemistry index acquisition points;
sequencing all the water chemistry index acquisition points according to the distance from the water chemistry index core points to obtain a plurality of groups of water chemistry index acquisition points in sequence from the near to the far;
taking all the water chemistry indexes of the water chemistry index core points as the central dimension of the row dimension of the matrix, sequentially taking all the water chemistry indexes of a plurality of groups of water chemistry index acquisition points from the near to the far as the upper and lower groups of the central dimension, and constructing to obtain a water quality acquisition point matrix;
the construction form of the water quality acquisition point matrix is as follows:
；
wherein ,The time point for collecting the water chemistry index set is +.>Corresponding water quality acquisition point matrix +.>Indicate->Water chemical index collection point +.>Water chemistry index;
the index difference matrix is obtained by calculation according to the water quality acquisition point matrix, and the method comprises the following steps:
extracting the central dimension of the water quality acquisition point matrixWater chemistry index, wherein +.>The individual water chemistry index is constructed in the form +.>，/>A dimension number representing a center dimension of the water quality acquisition point matrix;
sequentially calculating center dimensionsEvery water chemistry index is +.2 with other every dimension of water quality acquisition point matrix>The difference of the individual water chemistry indexes, the +.>Group water chemistry index difference;
according to each dimensionThe index difference matrix is obtained by correspondingly arranging the water chemical indexes or the water chemical index difference values at the positions of the raw water quality acquisition point matrix;
inputting the index difference matrixes of different acquisition time points into a pre-constructed water quality monitoring model to perform water quality analysis, so as to obtain an analysis result of the water quality health degree, wherein the method comprises the following steps:
constructing a water quality matrix set according to index difference matrixes of different acquisition time points;
inputting the water quality matrix set into a pre-constructed water quality monitoring model, wherein the water quality monitoring model is constructed by combining logic of a back support vector machine and a front BP neural network;
Analyzing the water quality matrix set according to the water quality monitoring model to obtain an analysis result of the water quality health degree, wherein the analysis result of the water quality health degree comprises six analysis results of serious pollution, heavy pollution, light pollution, good water quality and excellent water quality;
the water chemistry indexes comprise pH value, hardness, ammonia nitrogen, nitrite, nitrate, chloride, dissolved oxygen, chemical oxygen consumption, biological oxygen demand and total organic carbon;
the construction form of the water quality matrix set is as follows:
；
wherein ,representing a water quality matrix set constructed according to index difference matrixes of different acquisition time points, and performing +.>Indicating the acquisition time point as +.>The corresponding index difference matrix.
2. A device for realizing dynamic water quality monitoring based on the internet of things, which is used for realizing the method for realizing dynamic water quality monitoring based on the internet of things as claimed in claim 1, and is characterized in that the device comprises:
the monitoring instruction receiving module is used for receiving a water quality monitoring instruction and starting a plurality of groups of water chemical index detectors which are pre-placed in the water area according to the water quality monitoring instruction;
the water chemistry index collection module is used for receiving the water chemistry indexes returned by each group of water chemistry index detectors and summarizing the water chemistry indexes to obtain a water chemistry index set;
The water quality acquisition point matrix construction module is used for constructing a water quality acquisition point matrix according to the water chemical index set, wherein each row of the water quality acquisition point matrix represents all water chemical indexes returned by one water chemical index acquisition point;
the index difference matrix construction module is used for calculating an index difference matrix according to the water quality acquisition point matrix;
the water quality analysis module is used for acquiring a plurality of groups of index difference matrixes at different acquisition time points, inputting the index difference matrixes at different acquisition time points into a pre-constructed water quality monitoring model to execute water quality analysis, and obtaining an analysis result of the water quality health degree.
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Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN203025180U (en) * | 2013-01-14 | 2013-06-26 | 无锡儒安科技有限公司 | Water quality monitoring device and system based on panel points of internet of things |
| CN104699923A (en) * | 2013-12-04 | 2015-06-10 | 航天科工仿真技术有限责任公司 | Multi-index water quality comprehensive assessment method |
| CN107491758A (en) * | 2017-08-18 | 2017-12-19 | 南京林业大学 | Yangtze river basin water body information and its space encoding method |
| CN109788064A (en) * | 2019-01-29 | 2019-05-21 | 特斯联（北京）科技有限公司 | A kind of urban water-body monitoring node internet of things and its self-organizing method |
| CN110126993A (en) * | 2019-05-22 | 2019-08-16 | 广州欣菁能源科技有限公司 | A kind of automatic operating system waterborne |
| KR20200103285A (en) * | 2019-02-25 | 2020-09-02 | 대구가톨릭대학교산학협력단 | The portable wireless sensor system for realtime measuring water quality based on internet of things |
| CN114077531A (en) * | 2020-08-11 | 2022-02-22 | 北京达佳互联信息技术有限公司 | Performance test method and device and storage medium |
| CN115099321A (en) * | 2022-06-17 | 2022-09-23 | 杭州电子科技大学 | Bidirectional autoregression unsupervised pre-training fine-tuning type abnormal pollution discharge monitoring method and application |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109709057B (en) * | 2018-12-29 | 2021-12-07 | 四川碧朗科技有限公司 | Water quality index prediction model construction method and water quality index monitoring method |
-
2022
- 2022-12-07 CN CN202211564414.8A patent/CN115792158B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN203025180U (en) * | 2013-01-14 | 2013-06-26 | 无锡儒安科技有限公司 | Water quality monitoring device and system based on panel points of internet of things |
| CN104699923A (en) * | 2013-12-04 | 2015-06-10 | 航天科工仿真技术有限责任公司 | Multi-index water quality comprehensive assessment method |
| CN107491758A (en) * | 2017-08-18 | 2017-12-19 | 南京林业大学 | Yangtze river basin water body information and its space encoding method |
| CN109788064A (en) * | 2019-01-29 | 2019-05-21 | 特斯联（北京）科技有限公司 | A kind of urban water-body monitoring node internet of things and its self-organizing method |
| KR20200103285A (en) * | 2019-02-25 | 2020-09-02 | 대구가톨릭대학교산학협력단 | The portable wireless sensor system for realtime measuring water quality based on internet of things |
| CN110126993A (en) * | 2019-05-22 | 2019-08-16 | 广州欣菁能源科技有限公司 | A kind of automatic operating system waterborne |
| CN114077531A (en) * | 2020-08-11 | 2022-02-22 | 北京达佳互联信息技术有限公司 | Performance test method and device and storage medium |
| CN115099321A (en) * | 2022-06-17 | 2022-09-23 | 杭州电子科技大学 | Bidirectional autoregression unsupervised pre-training fine-tuning type abnormal pollution discharge monitoring method and application |
Non-Patent Citations (2)
| Title |
|---|
| 基于物联网的安徽省地下水动态监测管理系统研究;刘怀利等;地下水;第39卷(第6期);68-69 * |
| 廖威.基于NBIOT技术的区域水质信息采集及监测系统设计.自动化与仪器仪表.2021,(第5期),113-116. * |
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