CN115236007A

CN115236007A - Intelligent monitoring method and device for drinking water source

Info

Publication number: CN115236007A
Application number: CN202211140054.9A
Authority: CN
Inventors: 王少波; 高龙华; 朱华钫; 张舒; 吴浩东; 郑宇阳; 袁皖华; 孙晓丽
Original assignee: Hydrology Bureau Of Zhujiang Water Resources Commission Ministry Of Water Resources
Current assignee: Hydrology Bureau Of Zhujiang Water Resources Commission Ministry Of Water Resources
Priority date: 2022-09-20
Filing date: 2022-09-20
Publication date: 2022-10-25
Anticipated expiration: 2042-09-20
Also published as: CN115236007B

Abstract

The invention discloses an intelligent monitoring method and device for a drinking water source, the method can improve the dividing accuracy of the water area by dividing the water area into sub-water areas according to the type and the position of the water area, generate equipment control parameters of intelligent flight equipment based on the accurately divided water area, improve the generating accuracy of the equipment control parameters, control the intelligent flight equipment to collect hyperspectral information of each divided sub-water area based on the accurately generated equipment control parameters, improve the collection accuracy of the hyperspectral information of each sub-water area, perform hyperspectral inversion analysis on the hyperspectral information to obtain the analysis condition of the pollutant type and the concentration of each sub-water area, and finally analyze the pollutant condition of the whole water area by synthesizing the analysis condition of each sub-water area, thereby improving the analysis accuracy and the efficiency of the pollutants of the whole water area, realizing the intelligent monitoring of the water area, improving the analysis accuracy of the data of the water area and providing an accurate water source treatment basis decision.

Description

Intelligent monitoring method and device for drinking water source

Technical Field

The invention relates to the technical field of water source monitoring, in particular to an intelligent monitoring method and device for a drinking water source.

Background

Water is the source of life, and the safety of drinking water sources is related to the health of people and the stable development of social economy.

At present, a drinking water source monitoring method generally acquires sample water of a water area to be monitored, and analyzes the sample water based on a traditional water quality model to obtain the water quality condition of the water area. However, practice has found that, because water in a water area has fluidity and the area of the water area is generally large, accurate analysis of the water quality condition of the water area cannot be realized by collecting water sample water in the water area and analyzing the water quality condition based on a traditional water quality model. Therefore, it is very important to provide a technical solution for improving the accuracy of water quality analysis of water sources, so as to provide accurate water source treatment decision basis for relevant departments.

Disclosure of Invention

The invention provides an intelligent monitoring method and device for a drinking water source, which can perform hyperspectral inversion analysis on a water area, realize intelligent monitoring on the water area, and improve the analysis accuracy of water area data, thereby providing an accurate decision basis for relevant departments.

In order to solve the technical problem, the first aspect of the present invention discloses an intelligent monitoring method for a drinking water source, comprising:

collecting data of a water area of water quality to be measured, wherein the data of the water area comprises the water area type of the water area and the water area position of the water area;

dividing the water area into a plurality of sub water areas according to the acquired data of the water area, and setting identification information for each sub water area;

generating equipment control parameters of intelligent flight equipment for monitoring the water quality of each sub-water area according to the divided data of each sub-water area and the identification information of the sub-water area, wherein the equipment control parameters corresponding to each sub-water area comprise flight control parameters of the intelligent flight equipment and hyperspectral acquisition control parameters;

controlling the intelligent flying equipment to collect information of each sub-water area according to the equipment control parameters corresponding to each sub-water area, wherein the information of each sub-water area comprises hyperspectral information of the sub-water area;

analyzing the hyperspectral information of each sub-water area to obtain the information of all pollutants of each sub-water area, wherein the information of each pollutant of each sub-water area comprises the concentration of the pollutant and the type of the pollutant; and determining the water quality condition of the water area according to the information of all the pollutants of each sub-water area.

As an optional implementation manner, in the first aspect of the present invention, each of the sub-waters includes a plurality of information sampling points, and the hyperspectral information of each of the sub-waters includes hyperspectral information of each of the information sampling points in each of the sub-waters;

analyzing the hyperspectral information of each sub-water area to obtain the information of all pollutants of each sub-water area, wherein the hyperspectral information of each sub-water area comprises the following steps:

for any one of the child waters:

analyzing hyperspectral information of each information sampling point in the sub-water area to obtain a hyperspectral characteristic value of each information sampling point, and determining the sampling height between each information sampling point and the intelligent flight equipment in the sub-water area and environment information when the hyperspectral information of each information sampling point is collected;

analyzing the environmental information corresponding to each information sampling point, acquiring the influence of the hyperspectral information of each information sampling point, determining the information of pollutants of each information sampling point in the sub-water area according to the hyperspectral characteristic value, the sampling height and the acquisition influence of each information sampling point in the sub-water area, and determining the information of all pollutants of each sub-water area according to the information of pollutants of each information sampling point in the sub-water area.

As an alternative embodiment, in the first aspect of the present invention, the calculation formula of the water quality condition of the water area is as follows:

wherein P is used for representing the water quality condition of the water area; p _i Information representative of all contaminants of the ith said sub-body of water; q. q.s _i ² The first correction coefficient is used for representing the information of the average height corresponding to all the information acquisition points of the ith sub-water area to the pollutants of the ith sub-water area; a is a _i The second correction coefficient is used for representing the information of pollutants caused by the average acquisition influence corresponding to all the information acquisition points in the ith sub-water area; k _i The sampling point linear coefficients are used for representing the ith sub-water area, the sampling point linear coefficient corresponding to each sub-water area is determined by the position of the sub-water area in the water area, and the sum of the sampling point linear coefficients corresponding to all the sub-water areas is equal to 1; w is a group of _it A pollution coefficient used for representing the t information sampling point in the ith sub water area; p is _it The hyperspectral characteristic value is used for representing the t information sampling point in the ith sub water area; u shape _it The random error generated by the tth information sampling point in the ith sub water area is represented; n is used to represent the total number of all the sub-waters; and T is used for representing the total number of all the information sampling points of each sub water area.

As an optional implementation manner, in the first aspect of the present invention, the information of each sub-water area further includes sewage discharge information of the sub-water area, the sewage discharge information of each sub-water area includes information of a sewage discharge outlet and pollutant discharge information, the information of each sewage discharge outlet of the sub-water area includes a position of the sewage discharge outlet, a size of the sewage discharge outlet, and a type corresponding to the sewage discharge outlet, and the pollutant discharge information of each sub-water area includes a pollutant discharge flow rate, a pollutant discharge concentration, and a pollutant discharge direction;

the method further comprises the following steps:

calculating the pollution load of each sub-water area according to the pollutant discharge flow, the pollutant discharge concentration and the pollutant discharge direction in the sewage discharge information of each sub-water area, and associating the pollution load of the sewage discharge information of each sub-water area with the hyperspectral information of the sub-water area to obtain the associated information of each sub-water area;

and analyzing the hyperspectral information of each sub-water area, the pollution discharge information of the sub-water area and the correlation information of the sub-water area to obtain the information of all pollutants of each sub-water area.

As an alternative implementation, in the first aspect of the present invention, the method further includes:

aiming at any one of the sub-waters, calculating a distance value between the sewage draining exit and a section of the adjacent sub-water area according to the position of the sewage draining exit of the sub-water area and the position of the section of the adjacent sub-water area, which is close to the sub-water area, of the adjacent sub-water area, wherein each section is used for separating two adjacent sub-water areas at the left side and the right side;

judging whether a target sub-water area with the distance value corresponding to the sewage discharge outlet smaller than or equal to a preset distance value exists in all the sub-water areas according to the distance value corresponding to the sewage discharge outlet of each sub-water area;

and when the water quality condition of the water area is determined according to the information of all the pollutants in each sub-water area, screening all the target sub-water areas from all the sub-water areas, correcting the information of all the pollutants in the adjacent sub-water areas closer to the sewage outlet of each target sub-water area based on the sewage discharge information of each target sub-water area and the corresponding distance value of the sewage outlet of the target sub-water area, and executing the operation of determining the water quality condition of the water area according to the information of all the pollutants in each sub-water area.

collecting water flow information of each target sub-water area, wherein the water flow information of each target sub-water area comprises water flow speed and water flow direction;

determining inflow information of pollutants flowing into adjacent sub-water areas from each target sub-water area sewage draining exit in unit time according to the pollutant discharge information of each target sub-water area sewage draining exit, the water flow information of the target sub-water area and the distance value corresponding to the sewage draining exit of the target sub-water area, wherein the inflow information corresponding to each target sub-water area comprises inflow amount, inflow type and inflow area;

wherein, based on the sewage discharge information of each target sub-water area and the corresponding distance value of the sewage discharge outlet of the target sub-water area, the information of all pollutants in the adjacent sub-water areas closer to the sewage discharge outlet of each target sub-water area is corrected, and the method comprises the following steps:

and correcting the information of all pollutants in the adjacent sub-water areas closer to the sewage outlet of each target sub-water area based on the sewage outlet information of each target sub-water area, the distance value corresponding to the sewage outlet of the target sub-water area and the inflow information corresponding to the target sub-water area.

As an optional implementation manner, in the first aspect of the present invention, the device control parameters of the intelligent flight device further include a camera parameter of the intelligent flight device;

the method further comprises the following steps:

in the process of collecting the information of the sub-water area, judging whether the collected information of the sub-water area meets a predetermined information quality requirement, and when the collected information of the sub-water area does not meet the predetermined information quality requirement, calculating an information difference between the collected information of the sub-water area and the information quality requirement, and collecting information of a data collection range corresponding to a current flight position of the intelligent flight equipment, wherein the information of the data collection range comprises light intensity, water reflection intensity in the data collection range, water reflection angle in the data collection range and vertical height between the intelligent flight equipment and the data collection range;

and adjusting the equipment control parameters of the intelligent flight equipment according to the information difference and the information of the data acquisition range, and continuously executing the operation of controlling the intelligent flight equipment to acquire the information of each sub-water area according to the equipment control parameters corresponding to each sub-water area.

The invention discloses in a second aspect an intelligent monitoring device for a drinking water source, the device comprising:

the acquisition module is used for acquiring data of a water area of water quality to be detected, wherein the data of the water area comprises the water area type of the water area and the water area position of the water area;

the dividing module is used for dividing the water area into a plurality of sub water areas according to the collected data of the water area;

the setting module is used for setting identification information for each sub-water area;

the generating module is used for generating equipment control parameters of the intelligent flight equipment for monitoring the water quality of each sub-water area according to the divided data of each sub-water area and the identification information of the sub-water area, wherein the equipment control parameters corresponding to each sub-water area comprise flight control parameters of the intelligent flight equipment and hyperspectral acquisition control parameters;

the control module is used for controlling the intelligent flight equipment to collect the information of each sub-water area according to the equipment control parameter corresponding to each sub-water area, and the information of each sub-water area comprises hyperspectral information of the sub-water area;

the analysis module is used for analyzing the hyperspectral information of each sub-water area to obtain the information of all pollutants of each sub-water area, and the information of each pollutant of each sub-water area comprises the concentration of the pollutant and the type of the pollutant;

and the determining module is used for determining the water quality condition of the water area according to the information of all the pollutants of each sub-water area.

As an optional implementation manner, in the second aspect of the present invention, each of the sub-water areas includes a plurality of information sampling points, and the hyperspectral information of each of the sub-water areas includes the hyperspectral information of each of the information sampling points in each of the sub-water areas;

the analyzing module analyzes the hyperspectral information of each sub-water area, and the mode of obtaining the information of all pollutants in each sub-water area specifically comprises the following steps:

aiming at any one of the sub waters:

analyzing the hyperspectral information of each information sampling point in the sub-water area to obtain a hyperspectral characteristic value of each information sampling point, and determining the sampling height between each information sampling point and the intelligent flight equipment in the sub-water area and environment information when the hyperspectral information of each information sampling point is collected;

As an alternative embodiment, in the second aspect of the present invention, the calculation formula of the water quality condition of the water area is as follows:

wherein P is used for representing the water quality condition of the water area; p _i Information representing all pollutants of the ith said sub-body of water; q. q of _i ² The first correction coefficient is used for representing the information of the average height corresponding to all the information acquisition points of the ith sub-water area to the pollutants of the ith sub-water area; a is _i For representing all information acquisition in the ith sub-water areaThe corresponding second correction coefficient which averagely collects the information influencing the pollutants is acquired; k _i The sampling point linear coefficients are used for representing the ith sub-water area, the sampling point linear coefficient corresponding to each sub-water area is determined by the position of the sub-water area in the water area, and the sum of the sampling point linear coefficients corresponding to all the sub-water areas is equal to 1; w _it The pollution coefficient is used for representing the t information sampling point in the ith sub water area; p _it The hyperspectral characteristic value is used for representing the t information sampling point in the ith sub water area; u shape _it The random error is used for representing the random error generated by the t information sampling point in the ith sub-water area; n is used for representing the total number of all the sub-waters; t is used to represent the total number of all the information sampling points of each of the sub-waters.

As an optional implementation manner, in the second aspect of the present invention, the information of each sub-water area further includes information of sewage discharge of the sub-water area, the information of sewage discharge of each sub-water area includes information of a sewage discharge outlet and information of pollutant discharge, the information of each sewage discharge outlet of the sub-water area includes a position of the sewage discharge outlet, a size of the sewage discharge outlet and a type corresponding to the sewage discharge outlet, and the information of pollutant discharge of each sub-water area includes a pollutant discharge flow rate, a pollutant discharge concentration and a pollutant discharge direction;

the device further comprises:

the first calculation module is used for calculating the pollution load of each sub-water area according to the pollutant discharge flow, the pollutant discharge concentration and the pollutant discharge direction in the sewage discharge information of each sub-water area;

the correlation module is used for correlating the pollution load of the pollution discharge information of each sub-water area with the hyperspectral information of the sub-water area to obtain correlation information of each sub-water area;

As an optional implementation manner, in the second aspect of the present invention, the first calculating module is further configured to calculate, for any one of the sub-waters, a distance value between a sewage discharge outlet of the sub-water and a cut-off surface of an adjacent sub-water of the sub-water, where the cut-off surface is located and close to the sub-water, and each cut-off surface is used to separate two adjacent sub-waters from each other;

the device further comprises:

the first judgment module is used for judging whether a target sub-water area with the distance value corresponding to the sewage discharge outlet smaller than or equal to a preset distance value exists in all the sub-water areas according to the distance value corresponding to the sewage discharge outlet of each sub-water area;

the determining module is further configured to screen out all the target sub-water areas from all the sub-water areas when the determining module determines that the target sub-water areas exist;

and the correction module is used for correcting the information of all pollutants in the adjacent sub-water areas closer to the sewage outlet of each target sub-water area based on the sewage information of each target sub-water area and the corresponding distance value of the sewage outlet of the target sub-water area, and triggering the determination module to execute the operation of determining the water quality condition of the water area according to the information of all the pollutants in each sub-water area.

As an optional implementation manner, in the second aspect of the present invention, the collecting module is further configured to collect water flow information of each target sub-water area, where the water flow information of each target sub-water area includes a water flow speed and a water flow direction;

the determining module is further used for determining inflow information of pollutants flowing into adjacent sub-water areas of each target sub-water area sewage draining exit in unit time according to the pollutant discharge information of each target sub-water area sewage draining exit, the water flow information of the target sub-water area and the distance value corresponding to the sewage draining exit of the target sub-water area, wherein the inflow information corresponding to each target sub-water area comprises inflow amount, inflow type and inflow area;

the mode of the correction module for correcting the information of all pollutants in the adjacent sub-water areas closer to the sewage discharge outlet of each target sub-water area based on the sewage discharge information of each target sub-water area and the corresponding distance value of the sewage discharge outlet of the target sub-water area specifically comprises the following steps:

As an optional implementation manner, in the second aspect of the present invention, the device control parameters of the intelligent flight device further include camera parameters of the intelligent flight device;

the device further comprises:

the second judgment module is used for judging whether the acquired information of the sub-water area meets the predetermined information quality requirement or not in the process of acquiring the information of the sub-water area;

the second calculation module is used for calculating the information difference between the acquired information of the sub-water area and the information quality requirement when the judgment result shows that the information does not meet the requirement;

the acquisition module is further used for acquiring information of a data acquisition range corresponding to the current flight position of the intelligent flight device, wherein the information of the data acquisition range comprises light intensity, water reflection intensity in the data acquisition range, water reflection angle in the data acquisition range and vertical height of the intelligent flight device and the data acquisition range;

and the adjusting module is used for adjusting the equipment control parameters of the intelligent flight equipment according to the information difference and the information of the data acquisition range, and continuously triggering the control module to execute the operation of acquiring the information of each sub-water area by the intelligent flight equipment according to the equipment control parameters corresponding to each sub-water area.

The invention discloses in a third aspect, another intelligent monitoring device for a drinking water source, comprising:

a memory storing executable program code;

a processor coupled with the memory;

the processor calls the executable program code stored in the memory to execute part or all of the steps of any one of the intelligent monitoring methods for drinking water sources disclosed in the first aspect of the present invention.

In a fourth aspect, the present invention discloses a computer storage medium storing computer instructions for performing some or all of the steps of any one of the intelligent monitoring methods for drinking water sources disclosed in the first aspect of the present invention when the computer instructions are invoked.

Compared with the prior art, the embodiment of the invention has the following beneficial effects:

in the embodiment of the invention, the data of the water area of the water quality to be measured is collected, and the data of the water area comprises the water area type of the water area and the water area position of the water area; dividing the water area into a plurality of sub-water areas according to the collected data of the water area, and setting identification information for each sub-water area; generating equipment control parameters of intelligent flight equipment for monitoring the water quality of each sub-water area according to the divided data of each sub-water area and the identification information of the sub-water area, wherein the equipment control parameters corresponding to each sub-water area comprise flight control parameters of the intelligent flight equipment and hyperspectral acquisition control parameters; controlling intelligent flying equipment to collect information of each sub-water area according to the equipment control parameters corresponding to each sub-water area, wherein the information of each sub-water area comprises hyperspectral information of the sub-water area; analyzing the hyperspectral information of each sub-water area to obtain the information of all pollutants of each sub-water area, wherein the information of each pollutant of each sub-water area comprises the concentration of the pollutant and the type of the pollutant; and determining the water quality condition of the water area according to the information of all pollutants in each sub water area. Therefore, the method can improve the accuracy of water area division by automatically dividing the water area to be monitored according to the type and the position of the water area to be monitored, can generate equipment control parameters of the intelligent flight equipment based on the accurately divided water area, such as flight control parameters and hyperspectral acquisition control parameters, can improve the accuracy of equipment control parameter generation, can control the intelligent flight equipment to acquire hyperspectral information of each divided water area based on the accurately generated equipment control parameters, can improve the accuracy of acquisition of the hyperspectral information of each water area, and performs hyperspectral inversion analysis on the hyperspectral information to obtain the analysis condition of the pollutant type and concentration of each water area, and finally analyzes the pollutant condition of the whole water area by synthesizing the analysis condition of the pollutant of each water area, thereby improving the analysis accuracy and the efficiency of the pollutant of the whole water area, realizing the intelligent monitoring of the water area, improving the analysis accuracy of water area data, and providing accurate water source treatment basis for relevant departments, and being particularly suitable for remote water source scenes.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.

FIG. 1 is a schematic flow chart of a method for intelligently monitoring a drinking water source according to an embodiment of the present invention;

FIG. 2 is a schematic flow chart of another method for intelligently monitoring a drinking water source according to an embodiment of the present disclosure;

FIG. 3 is a schematic structural diagram of an intelligent monitoring device for a drinking water source according to an embodiment of the present invention;

FIG. 4 is a schematic structural diagram of another intelligent monitoring device for a drinking water source disclosed in the embodiment of the invention;

fig. 5 is a schematic structural diagram of another intelligent monitoring device for a drinking water source according to an embodiment of the disclosure.

Detailed Description

In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without inventive step based on the embodiments of the present invention, are within the scope of protection of the present invention.

The terms "first," "second," and the like in the description and claims of the present invention and in the above-described drawings are used for distinguishing between different objects and not necessarily for describing a particular sequential or chronological order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, apparatus, article, or article that comprises a list of steps or elements is not limited to only those steps or elements but may alternatively include other steps or elements not expressly listed or inherent to such process, method, article, or article.

Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the invention. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein may be combined with other embodiments.

The invention discloses an intelligent monitoring method and device for a drinking water source, which can divide a water area to be monitored into sub-water areas automatically according to the type and the position of the water area to be monitored, can improve the dividing accuracy of the water area, can generate equipment control parameters of intelligent flight equipment based on the accurately divided water area, such as flight control parameters and hyperspectral acquisition control parameters, can improve the generation accuracy of the equipment control parameters, can control the intelligent flight equipment to acquire hyperspectral information of each divided sub-water area based on the accurately generated equipment control parameters, can improve the acquisition accuracy of the hyperspectral information of each sub-water area, and can perform hyperspectral inversion analysis on the hyperspectral information to obtain the analysis condition of the type and the concentration of pollutants of each sub-water area, and finally analyze the pollutant condition of the whole water area by synthesizing the analysis condition of the pollutants of each sub-water area, can improve the analysis accuracy and the efficiency of the pollutants of the whole water area, realize the intelligent monitoring of the water area, and improve the analysis accuracy of water area data, thereby providing an accurate water source treatment decision basis for relevant departments. The following are detailed descriptions of the respective components.

Example one

Referring to fig. 1, fig. 1 is a schematic flow chart of an intelligent monitoring method for a drinking water source according to an embodiment of the present invention. The method described in fig. 1 may be applied to an apparatus having an intelligent monitoring function of a drinking water source, and the apparatus may include an intelligent flight device, and a central control server for controlling the intelligent flight device, wherein the central control server includes a cloud server or an on-site server. As shown in fig. 1, the intelligent monitoring method for drinking water source may include the following operations:

101. collecting data of a water area of water quality to be measured, wherein the data of the water area comprises the water area type of the water area and the water area position of the water area.

In the embodiment of the invention, the water area is any water area needing water quality to be measured, and the water area is a drinking water source, namely water in the water area is used for drinking and using. The data of the water area further includes the size of the water area and the shape of the water area. Therefore, the more the data in the water area contains, the more the accuracy of water area division is improved, and the accuracy of acquisition operation execution of the related information in the water area is improved.

102. Dividing the water area into a plurality of sub-water areas according to the collected data of the water area, and setting identification information for each sub-water area.

In the embodiment of the present invention, the identification information of each sub-water area includes, but is not limited to, at least one of a number identification, a letter identification, a drain identification (name, number, etc.) in the sub-water area, and the like. And the identification information of each sub-water area is different and unique.

103. And generating equipment control parameters of the intelligent flight equipment for monitoring the water quality of each sub-water area according to the divided data of each sub-water area and the identification information of the sub-water area, wherein the equipment control parameters corresponding to each sub-water area comprise flight control parameters of the intelligent flight equipment and hyperspectral collection control parameters.

In the embodiment of the invention, optionally, the flight control parameters comprise flight speed control parameters and flight height control parameters; the hyperspectral acquisition control parameters comprise one or more of spectral resolution control parameters, spectral band control parameters, spectral field control parameters and signal-to-noise ratio control parameters.

104. And controlling the intelligent flying equipment to acquire information of each sub-water area according to the equipment control parameters corresponding to each sub-water area, wherein the information of each sub-water area comprises hyperspectral information of the sub-water area.

105. Analyzing the hyperspectral information of each sub-water area to obtain the information of all pollutants of each sub-water area, wherein the information of each pollutant of each sub-water area comprises the concentration of the pollutant and the type of the pollutant; and determining the water quality condition of the water area according to the information of all pollutants in each sub water area.

In the embodiment of the invention, the water quality condition of the water area comprises the type of the pollutants in the water area and the concentration of the pollutants in the water area, and further comprises the influence of the chemical action of the pollutants in the water area on the water quality and the generation intensity of the chemical action, wherein the stronger the generation intensity is, the easier the reaction between the pollutants is.

It can be seen that, by implementing the intelligent monitoring method for a drinking water source described in fig. 1, the water area can be divided into sub-water areas according to the type and the position of the water area, the dividing accuracy of the water area can be improved, the device control parameters of the intelligent flight device can be generated based on the accurately divided water area, the generation accuracy of the device control parameters can be improved, the intelligent flight device is controlled based on the accurately generated device control parameters to collect the hyperspectral information of each sub-water area, the collection accuracy of the hyperspectral information of each sub-water area can be improved, the hyperspectral information is subjected to hyperspectral inversion analysis, the analysis condition of the pollutant type and the pollutant concentration of each sub-water area is obtained, finally, the analysis condition of the pollutant of each sub-water area is integrated to analyze the pollutant condition of the whole water area, the analysis accuracy and the efficiency of the pollutant of the whole water area can be improved, the intelligent monitoring of the water area is realized, the analysis accuracy of the water area data is improved, and accurate water source treatment decision basis is provided for relevant departments.

In an optional embodiment, each sub-water area comprises a plurality of information sampling points, and the hyperspectral information of each sub-water area comprises the hyperspectral information of each information sampling point in each sub-water area; the hyperspectral information of each sub-water area is analyzed to obtain the information of all pollutants of each sub-water area, and the method comprises the following steps:

aiming at any one sub water area:

analyzing hyperspectral information of each information sampling point in the sub-water area to obtain a hyperspectral characteristic value of each information sampling point, and determining the sampling height between each information sampling point and the intelligent flight equipment in the sub-water area and environment information (such as environment visibility, light, temperature, humidity and the like) when the hyperspectral information of each information sampling point is collected;

analyzing the environmental information corresponding to each information sampling point, acquiring influence on hyperspectral information of each information sampling point, determining the information of pollutants of each information sampling point in the sub-water area according to the hyperspectral characteristic value, the sampling height and the acquisition influence of each information sampling point in the sub-water area, and determining the information of all pollutants of each sub-water area according to the information of pollutants of each information sampling point in the sub-water area.

In this optional embodiment, optionally, the calculation formula of the water quality condition of the water area is as follows:

wherein, P is used for representing the water quality condition of a water area; p _i Information representing all contaminants of the ith sub-water area; q. q.s _i ² A first correction coefficient used for representing the average height corresponding to all the information acquisition points of the ith sub-water area to the information of the pollutants of the ith sub-water area, and the value is more than 0 and less than q _i ² ＜1；a _i For indicating the ithA second correction coefficient of the average acquisition influence on the pollutant information corresponding to all the information acquisition points in the sub-water area, and a is more than or equal to 0 _i ≤1；K _i The sampling point linear coefficients are used for representing the ith sub-water area, the sampling point linear coefficient corresponding to each sub-water area is determined by the position of the sub-water area in the water area, and the sum of the sampling point linear coefficients corresponding to all the sub-water areas is equal to 1; w _it The pollution coefficient is used for representing the t information sampling point in the ith sub-domain; p _it The hyperspectral characteristic value is used for representing the t information sampling point in the ith sub-water area; u shape _it The random error is used for representing the generated random error of the t information sampling point in the ith sub-water domain; n is used to represent the total number of all sub-waters; t is used to represent the total number of all information sampling points per sub-water.

In this optional embodiment, the average acquisition influence corresponding to all the information acquisition points in each sub-water area is an average value of the acquisition influences of all the information acquisition points in the sub-water area; the average height corresponding to all the information acquisition points of each sub-water area is the average value of the acquisition heights corresponding to all the information acquisition points of the sub-water area. The larger the average height is, the smaller the first correction factor is, and the larger the average acquisition influence is, the larger the second correction factor is.

It can be seen that this optional embodiment is through combining the collection height that each information sampling point corresponds in every sub-waters, the collection influence and the hyperspectral information of place environment to hyperspectral information, the information of the pollutant of every information sampling point of analysis sub-waters, can improve the analysis accuracy of the information of every information sampling point pollutant, and then the information of all pollutants of the sub-waters that corresponds is analyzed in the lump based on the information of accurate a plurality of information sampling point pollutants, can improve the analysis accuracy of all pollutants of every sub-waters, and then improve the analysis accuracy and the reliability of the pollutant of whole waters.

In another optional embodiment, the device control parameters of the intelligent flight device further include camera parameters of the intelligent flight device; the method may further comprise the operations of:

in the process of acquiring the information of the sub-water area, judging whether the acquired information of the sub-water area meets the predetermined information quality requirement, and when the acquired information of the sub-water area does not meet the predetermined information quality requirement, calculating the information difference between the acquired information of the sub-water area and the information quality requirement, and acquiring the information of a data acquisition range corresponding to the current flight position of the intelligent flight equipment, wherein the information of the data acquisition range comprises light intensity, water reflection intensity in the data acquisition range, water reflection angle in the data acquisition range and vertical height of the intelligent flight equipment and the data acquisition range;

In this optional embodiment, optionally, the information quality requirement includes one or more of an information data size requirement, an information type requirement, and an information signal-to-noise ratio requirement.

In this optional embodiment, when it is determined that the information in the acquired sub-water area meets the predetermined information quality requirement, the process is ended, or the operation of determining whether the acquired information in the sub-water area meets the predetermined information quality requirement is performed.

In this alternative embodiment, the data acquisition range is the acquisition range of the water surface level.

Therefore, in the process of acquiring the water area information, if the acquired information does not meet the requirements, the optional embodiment automatically calculates the information difference between the acquired information and the requirements, and automatically adjusts the equipment control parameters of the intelligent flight equipment based on the light intensity, the water reflection intensity in the data acquisition range, the water reflection angle in the data acquisition range and the vertical height of the intelligent flight equipment and the data acquisition range, so that the adjustment accuracy of the equipment control parameters of the intelligent flight equipment can be improved, the probability of acquiring the information meeting the requirements is improved, and the analysis accuracy of the water quality condition of the water area is further ensured.

Example two

Referring to fig. 2, fig. 2 is a schematic flow chart of another intelligent monitoring method for a drinking water source according to an embodiment of the present invention. The method described in fig. 2 may be applied to an apparatus having an intelligent monitoring function for a drinking water source, and the apparatus may include an intelligent flight device, and a central control server for controlling the intelligent flight device, where the central control server is included in a cloud server or an on-site server. As shown in fig. 2, the intelligent monitoring method for drinking water source may include the following operations:

201. collecting data of a water area of water quality to be measured, wherein the data of the water area comprises the water area type of the water area and the water area position of the water area.

202. According to the collected data of the water area, the water area is divided into a plurality of sub-water areas, and identification information is set for each sub-water area.

203. And generating equipment control parameters of the intelligent flight equipment for monitoring the water quality of each sub-water area according to the divided data of each sub-water area and the identification information of the sub-water area, wherein the equipment control parameters corresponding to each sub-water area comprise flight control parameters of the intelligent flight equipment and hyperspectral collection control parameters.

204. And controlling the intelligent flight equipment to acquire the information of each sub-water area according to the equipment control parameter corresponding to each sub-water area, wherein the information of each sub-water area comprises the hyperspectral information of the sub-water area and the sewage discharge information of the sub-water area.

In the embodiment of the invention, optionally, the sewage discharge information of each sub-water area comprises information of a sewage discharge outlet and pollutant discharge information, the information of the sewage discharge outlet of each sub-water area comprises the position of the sewage discharge outlet, the size of the sewage discharge outlet and the type corresponding to the sewage discharge outlet, and the pollutant discharge information of each sub-water area comprises pollutant discharge flow, pollutant discharge concentration and pollutant discharge direction. The type corresponding to the sewage draining exit comprises one or more of a domestic sewage draining type, an industrial sewage draining type, a catering sewage draining type and a breeding sewage draining type. Therefore, the more the content contained in the sewage discharge information is, the more the calculation accuracy of the pollution load of the sub-water area is favorably improved.

205. And calculating the pollution load of each sub-water area according to the pollutant discharge flow, the pollutant discharge concentration and the pollutant discharge direction in the pollutant discharge information of each sub-water area.

207. And correlating the pollution load of the sewage discharge information of each sub-water area with the hyperspectral information of the sub-water area to obtain the correlation information of each sub-water area.

208. Analyzing the hyperspectral information of each sub-water area, the pollution discharge information of the sub-water area and the correlation information of the sub-water area to obtain the information of all pollutants of each sub-water area, wherein the information of each pollutant of each sub-water area comprises the concentration of the pollutant and the type of the pollutant; and determining the water quality condition of the water area according to the information of all pollutants in each sub-water area.

It should be noted that, for other descriptions of steps 201 to 204 and 208, please refer to the detailed description of other relevant contents of steps 101 to 105 in the first embodiment, which is not repeated herein.

It can be seen that, according to the intelligent monitoring method for the drinking water source described in fig. 2, the water area is divided into the sub-water areas according to the type and the position of the water area, so that the dividing accuracy of the water area can be improved, the device control parameters of the intelligent flight device are generated based on the accurately divided water area, the generation accuracy of the device control parameters can be improved, the intelligent flight device is controlled based on the accurately generated device control parameters to collect the hyperspectral information of each divided sub-water area, the collection accuracy of the hyperspectral information of each sub-water area can be improved, the hyperspectral information is subjected to hyperspectral inversion analysis, the analysis condition of the pollutant type and the pollutant concentration of each sub-water area is obtained, finally, the analysis condition of the pollutant of the whole water area is analyzed by integrating the analysis condition of the pollutant of each sub-water area, the analysis accuracy and the efficiency of the pollutant of the whole water area can be improved, the intelligent monitoring of the water area is realized, and the analysis accuracy of the water area data is improved, so that an accurate water source treatment decision basis is provided for relevant departments. In addition, the position, the size, the type, the pollutant discharge flow rate, the direction and the concentration of the sewage outlet of each sub-water area are collected together, the pollution load of each sub-water area is calculated, the calculation accuracy of the pollution load can be improved, the pollution load is correlated with the hyperspectral information, the hyperspectral information and the corresponding pollution load of each sub-water area can be conveniently distinguished, the correlation information, the sewage discharge information and the hyperspectral information are involved in the analysis of pollutants in the whole water area, the influence of different pollution sources on the water quality of the water area can be analyzed, the analysis accuracy and the reliability of pollutants in the water area are further improved, the accurate water area water source treatment basis can be further provided for relevant departments, and the supervision effectiveness of a water source is further improved.

In an optional embodiment, the method may further comprise the steps of:

for any sub-water area, calculating a distance value between a sewage discharge outlet and a section surface of an adjacent sub-water area of the sub-water area according to the position of the sewage discharge outlet of the sub-water area and the position of the section surface close to the sub-water area in the adjacent sub-water area, wherein each section surface is used for separating two adjacent sub-water areas at the left side and the right side (which can also be understood as front and back sides);

judging whether a target sub-water area with the distance value corresponding to the sewage draining outlet smaller than or equal to a preset distance value exists in all the sub-water areas according to the distance value corresponding to the sewage draining outlet of each sub-water area;

In this alternative embodiment, when it is determined that the pollutant is not present, the above operation of determining the water quality condition of the water area according to the information of all the pollutants in each sub-water area is performed.

In terms of distance, if there is a sewage drain in the sub-water areas 1, 2, and 3, and the sewage drain is 19 meters away from the ion water area 1 and 5 meters away from the sub-water area 3, the sub-water area 3 is the target water area.

Therefore, according to the optional embodiment, the distance value between the sewage outlet in the sub-water area and the left and right sub-water areas is calculated, when the sub-water area with the smaller distance exists, the pollutant information close to the sub-water area and the adjacent sub-water area is automatically corrected based on the sewage information of the sub-water area and the corresponding distance value, the determining accuracy of the pollutant information of the sub-water area can be improved, the water quality condition of the whole water area is analyzed, the analyzing accuracy of the whole water area can be further improved, and the monitoring intelligence of the drinking water source is further improved.

In another optional embodiment, the method may further comprise the steps of:

determining inflow information of pollutants of the sewage discharge outlet of each target sub-water area flowing into an adjacent sub-water area in unit time according to the pollutant discharge information of the sewage discharge outlet of each target sub-water area, the water flow information of the target sub-water area and the corresponding distance value of the sewage discharge outlet of the target sub-water area, wherein the inflow information corresponding to each target sub-water area comprises inflow amount, inflow type and inflow area;

in this optional embodiment, based on the sewage discharge information of each target sub-water area and the corresponding distance value of the sewage discharge outlet of the target sub-water area, the information of all pollutants in the adjacent sub-water area closer to the sewage discharge outlet of each target sub-water area is corrected, which includes:

Therefore, in the optional embodiment, inflow information such as inflow amount, swept area, type and the like flowing into the adjacent sub-water area in unit time is calculated by combining information in various aspects such as water flow reversal, speed, pollutant discharge information, distance value of the sewage outlet from the adjacent sub-water area, the calculation accuracy of the inflow information can be improved, pollutant information close to the adjacent sub-water area is automatically corrected by combining the sewage discharge information of the sub-water area and the corresponding distance value, the correction accuracy of the pollutant information of the adjacent sub-water area can be further improved, and the analysis accuracy of the water quality condition of the whole water area is further improved.

EXAMPLE III

Referring to fig. 3, fig. 3 is a schematic structural diagram of an intelligent monitoring device for a drinking water source according to an embodiment of the present invention. The apparatus depicted in fig. 3 may include an intelligent flight device, a central control server for controlling the intelligent flight device, where the central control server is included in a cloud server or an on-site server, and as shown in fig. 3, the apparatus includes:

the acquisition module 301 is configured to acquire data of a water area of water quality to be measured, where the data of the water area includes a water area type of the water area and a water area position of the water area;

a dividing module 302, configured to divide a water area into a plurality of sub-water areas according to the collected data of the water area;

a setting module 303, configured to set identification information for each sub-water area;

the generating module 304 is configured to generate an equipment control parameter of the intelligent flight equipment for monitoring the water quality of each sub-water area according to the divided data of each sub-water area and the identification information of the sub-water area, where the equipment control parameter corresponding to each sub-water area includes a flight control parameter of the intelligent flight equipment and a hyperspectral collection control parameter;

the control module 305 is configured to control the intelligent flight device to acquire information of each sub-water area according to the device control parameter corresponding to each sub-water area, where the information of each sub-water area includes hyperspectral information of the sub-water area;

the analysis module 306 is configured to analyze the hyperspectral information of each sub-water area to obtain information of all pollutants in each sub-water area, where the information of each pollutant in each sub-water area includes the concentration of the pollutant and the type of the pollutant;

and a determining module 307, configured to determine the water quality condition of the water area according to the information of all the pollutants in each sub-water area.

It can be seen that, the drinking water source intelligent monitoring device described in fig. 3 can improve the division accuracy of the water area by dividing the water area into sub-water areas according to the type and position of the water area, generate the device control parameter of the intelligent flight device based on the accurately divided water area, improve the generation accuracy of the device control parameter, control the intelligent flight device to collect the hyperspectral information of each sub-water area after division based on the precisely generated device control parameter, improve the collection accuracy of the hyperspectral information of each sub-water area, perform hyperspectral inversion analysis on the hyperspectral information, obtain the analysis condition of the pollutant type and concentration of each sub-water area, and finally analyze the pollutant condition of the whole water area by synthesizing the analysis condition of the pollutant of each sub-water area, thereby improving the analysis accuracy and efficiency of the pollutant of the whole water area, realizing the intelligent monitoring of the water area, and improving the analysis accuracy of the water area data, and providing an accurate water source management basis decision for relevant departments.

In an optional embodiment, each sub-water area comprises a plurality of information sampling points, and the hyperspectral information of each sub-water area comprises the hyperspectral information of each information sampling point in each sub-water area; the analyzing module 306 analyzes the hyperspectral information of each sub-water area, and the manner of obtaining the information of all pollutants of each sub-water area specifically includes:

aiming at any one sub water area:

analyzing the hyperspectral information of each information sampling point in the sub-water area to obtain a hyperspectral characteristic value of each information sampling point, and determining the sampling height between each information sampling point and the intelligent flight equipment in the sub-water area and the environment information when the hyperspectral information of each information sampling point is collected;

analyzing the environmental information corresponding to each information sampling point, influencing the acquisition of the hyperspectral information of each information sampling point, determining the information of pollutants of each information sampling point in the sub-water area according to the hyperspectral characteristic value, the sampling height and the acquisition influence of each information sampling point in the sub-water area, and determining the information of all pollutants of each sub-water area according to the information of the pollutants of each information sampling point in the sub-water area.

wherein, P is used for representing the water quality condition of a water area; p _i Information representing all contaminants of the ith sub-water area; q. q of _i ² A first correction coefficient used for representing the average height corresponding to all the information acquisition points of the ith sub-water area to the information of the pollutants of the ith sub-water area, and the value is more than 0 and less than q _i ² ＜1；a _i A second correction coefficient used for representing the information of the pollutant caused by the average acquisition influence corresponding to all the information acquisition points in the ith sub-water area, and the value is more than or equal to 0 and less than or equal to a _i ≤1；K _i The sampling point linear coefficients are used for representing the ith sub-water area, the sampling point linear coefficient corresponding to each sub-water area is determined by the position of the sub-water area in the water area, and the sum of the sampling point linear coefficients corresponding to all the sub-water areas is equal to 1; w _it The pollution coefficient is used for representing the t information sampling point in the ith sub-water area; p is _it The hyperspectral characteristic value is used for representing the t information sampling point in the ith sub-water area; u shape _it The random error is used for representing the random error generated by the t information sampling point in the ith sub-domain; n is used to represent the total number of all the sub-waters; t is used to represent the total number of all information sampling points per sub-water.

It can be seen that the intelligent monitoring device for implementing the drinking water source described in fig. 3 can improve the analysis accuracy of the information of the pollutants of each information sampling point by combining the acquisition height corresponding to each information sampling point in each sub-water area, the acquisition influence of the environment on the hyperspectral information and the hyperspectral information, and the information of the pollutants of each information sampling point in each sub-water area is analyzed, so that the information of all the pollutants in the corresponding sub-water area is analyzed together based on the information of the pollutants of a plurality of accurate information sampling points, the analysis accuracy of all the pollutants in each sub-water area can be improved, and the analysis accuracy and the reliability of the pollutants in the whole water area are improved.

In yet another optional embodiment, the information of each sub-water area further includes sewage discharge information of the sub-water area, the sewage discharge information of each sub-water area includes information of a sewage discharge outlet and pollutant discharge information, the information of the sewage discharge outlet of each sub-water area includes a position of the sewage discharge outlet, a size of the sewage discharge outlet and a type corresponding to the sewage discharge outlet, and the pollutant discharge information of each sub-water area includes pollutant discharge flow, pollutant discharge concentration and pollutant discharge direction;

as shown in fig. 4, the apparatus further includes:

the first calculating module 308 is configured to calculate a pollution load of each sub-water area according to the pollutant discharge flow, the pollutant discharge concentration, and the pollutant discharge direction in the pollutant discharge information of each sub-water area;

the correlation module 309 is configured to correlate the pollution load of the pollution discharge information of each sub-water area with the hyperspectral information of the sub-water area to obtain correlation information of each sub-water area;

the analyzing module 306 analyzes the hyperspectral information of each sub-water area, and the manner of obtaining the information of all pollutants of each sub-water area specifically includes:

and analyzing the hyperspectral information of each sub-water area, the pollution discharge information of the sub-water area and the correlation information of the sub-water area to obtain the information of all pollutants of each sub-water area, wherein the information of each pollutant of each sub-water area comprises the concentration of the pollutant and the type of the pollutant.

It can be seen that, the intelligent monitoring device for drinking water source described in fig. 4 can calculate the pollution load of each sub-water area by collecting the position, size, type and pollutant discharge flow rate, direction and concentration of the sewage discharge outlet of each sub-water area together, can improve the calculation accuracy of the pollution load, and associate the pollution load with the hyperspectral information, can conveniently distinguish the hyperspectral information and the corresponding pollution load of each sub-water area, and participate in the analysis of pollutants in the whole water area by the associated information, the sewage discharge information and the hyperspectral information, can analyze the influence of different pollution sources on the water quality of the water area, further improve the analysis accuracy and reliability of pollutants in the water area, and further be beneficial to further providing accurate water source management basis for relevant departments, and further improve the supervision effectiveness of the water source.

In yet another optional embodiment, the first calculating module 308 is further configured to calculate, for any sub-water area, a distance value between a sewage drain of the sub-water area and a cut-off surface of an adjacent sub-water area of the sub-water area, where the cut-off surface is located near the sub-water area, where each cut-off surface is used to separate two adjacent sub-waters from each other;

as shown in fig. 4, the apparatus further includes:

the first judging module 310 is configured to judge whether a target sub-water area exists in all the sub-water areas, where a distance value corresponding to a sewage discharge outlet is smaller than or equal to a preset distance value, according to a distance value corresponding to the sewage discharge outlet of each sub-water area;

the determining module 307 is further configured to, when it is determined that the target sub-water areas exist, screen all the target sub-water areas from all the sub-water areas;

and a correcting module 311, configured to correct information of all pollutants in an adjacent sub-water area closer to the sewage drain outlet of each target sub-water area based on the sewage drain information of each target sub-water area and the distance value corresponding to the sewage drain outlet of the target sub-water area, and trigger the determining module 307 to perform the above-mentioned operation of determining the water quality condition of the water area according to the information of all pollutants in each sub-water area.

It can be seen that, the intelligent monitoring device for drinking water source described in fig. 4 can also calculate the distance value between the sewage outlet in the sub-waters and the sub-waters on the left and right sides, and automatically revise the pollutant information close to the sub-waters and the adjacent sub-waters based on the sewage information of the sub-waters and the corresponding distance value when the sub-waters with smaller distance exist, so that the accuracy of determining the pollutant information of the sub-waters can be improved, the water quality condition of the whole water area can be analyzed, and the analysis accuracy of the whole water area can be further improved.

In yet another alternative embodiment, as shown in fig. 4, the collecting module 301 is further configured to collect water flow information of each target sub-water area, where the water flow information of each target sub-water area includes a water flow speed and a water flow direction;

the determining module 307 is further configured to determine inflow information of the pollutants in each target sub-water area flowing into the adjacent sub-water area in unit time according to the pollutant discharge information of the sewage discharge outlet of each target sub-water area, the water flow information of the target sub-water area, and the distance value corresponding to the sewage discharge outlet of the target sub-water area, where the inflow information corresponding to each target sub-water area includes inflow amount, inflow type, and inflow area;

the mode of the correction module 311 for correcting the information of all pollutants in the adjacent sub-water areas closer to the sewage discharge outlet of each target sub-water area based on the sewage discharge information of each target sub-water area and the corresponding distance value of the sewage discharge outlet of the target sub-water area specifically includes:

It can be seen that, the intelligent monitoring device for drinking water source described in fig. 4 can also calculate inflow information such as inflow amount, swept area, type and the like of the adjacent sub-water area in unit time by combining various information such as water flow reversal, speed, pollutant discharge information, distance value of a sewage outlet from the adjacent sub-water area, and the like of the sub-water area, can improve calculation accuracy of the inflow information, automatically corrects pollutant information close to the adjacent sub-water area by combining the sewage discharge information of the sub-water area and the corresponding distance value, can further improve correction accuracy of the pollutant information of the adjacent sub-water area, and further improves analysis accuracy of water quality conditions of the whole water area.

In yet another optional embodiment, the device control parameters of the intelligent flight device further include camera parameters of the intelligent flight device; as shown in fig. 4, the apparatus further includes:

a second judging module 312, configured to judge whether the acquired information of the sub-water area meets a predetermined information quality requirement in the process of acquiring the information of the sub-water area;

the second calculating module 313 is used for calculating the information difference between the acquired information of the sub-water area and the information quality requirement when the information is judged not to be met;

the acquisition module 301 is further configured to acquire information of a data acquisition range corresponding to a current flight position of the intelligent flight device, where the information of the data acquisition range includes light intensity, water reflection intensity in the data acquisition range, water reflection angle in the data acquisition range, and vertical height between the intelligent flight device and the data acquisition range;

the adjusting module 314 is configured to adjust the device control parameters of the intelligent flight device according to the information difference and the information of the data acquisition range, and continue to trigger the control module 305 to execute the above-mentioned operation of controlling the intelligent flight device to acquire the information of each sub-water area according to the device control parameters corresponding to each sub-water area.

It can be seen that, the implementation of the intelligent monitoring device for the drinking water source described in fig. 4 can also be in the process of acquiring water area information, if the acquired information does not meet the requirements, the information difference between the acquired information and the requirements is automatically calculated, and the equipment control parameters of the intelligent flight equipment are automatically adjusted based on the light intensity, the water reflection intensity in the data acquisition range, the water reflection angle in the data acquisition range and the vertical height of the intelligent flight equipment and the data acquisition range, so that the adjustment accuracy of the equipment control parameters of the intelligent flight equipment can be improved, the probability of acquiring the information meeting the requirements is improved, and the analysis accuracy of the water quality condition of the water area is further ensured.

EXAMPLE five

Referring to fig. 5, fig. 5 is a schematic structural diagram of another intelligent monitoring device for a drinking water source according to an embodiment of the present invention. The apparatus depicted in fig. 5 may include an intelligent flight device, and a central control server for controlling the intelligent flight device, where the central control server is included in a cloud server or a field server. As shown in fig. 5, the apparatus may include:

a memory 401 storing executable program code;

a processor 402 coupled with the memory 401;

further, an input interface 403 and an output interface 404 coupled to the processor 402 may be included;

the processor 402 calls executable program codes stored in the memory 401 to execute part or all of the steps of the intelligent monitoring method for the drinking water source disclosed in the first embodiment or the second embodiment of the invention.

EXAMPLE six

The embodiment of the invention discloses a computer storage medium, which stores computer instructions, and when the computer instructions are called, the computer storage medium is used for executing part or all of the steps in the intelligent monitoring method for the drinking water source disclosed in the first embodiment or the second embodiment of the invention.

The above-described embodiments of the apparatus are merely illustrative, and the modules described as separate components may or may not be physically separate, and the components shown as modules may or may not be physical modules, may be located in one place, or may be distributed on a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.

Through the above detailed description of the embodiments, those skilled in the art will clearly understand that the embodiments may be implemented by software plus a necessary general hardware platform, and may also be implemented by hardware. With this understanding in mind, the above technical solutions may essentially or in part contribute to the prior art, be embodied in the form of a software product, which may be stored in a computer-readable storage medium, including a Read-Only Memory (ROM), a Random Access Memory (RAM), a Programmable Read-Only Memory (PROM), an Erasable Programmable Read-Only Memory (EPROM), a One-time Programmable Read-Only Memory (OTPROM), an electronically Erasable Programmable Read-Only Memory (EEPROM), an optical Disc-Read (CD-ROM) or other storage medium capable of storing data, a magnetic tape, or any other computer-readable medium capable of storing data.

Finally, it should be noted that: the method and the device for intelligently monitoring the drinking water source disclosed in the embodiment of the invention are only preferred embodiments of the invention, and are only used for illustrating the technical scheme of the invention, but not limiting the technical scheme; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those skilled in the art; the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method of intelligent monitoring of a source of potable water, the method comprising:

dividing the water area into a plurality of sub-water areas according to the collected data of the water area, and setting identification information for each sub-water area;

2. The intelligent monitoring method for the drinking water source according to claim 1, wherein each of the sub-waters contains a plurality of information sampling points, and the hyperspectral information of each of the sub-waters comprises the hyperspectral information of each of the information sampling points in each of the sub-waters;

analyzing hyperspectral information of each sub-water area to obtain information of all pollutants of each sub-water area, wherein the hyperspectral information of each sub-water area comprises the following steps:

for any one of the child waters:

analyzing the environmental information corresponding to each information sampling point, acquiring influence on the hyperspectral information of each information sampling point, determining the information of pollutants of each information sampling point in the sub-water area according to the hyperspectral characteristic value, the sampling height and the acquisition influence of each information sampling point in the sub-water area, and determining the information of all pollutants of each sub-water area according to the information of pollutants of each information sampling point in the sub-water area.

3. The intelligent monitoring method for the drinking water source as claimed in claim 1 or 2, wherein the calculation formula of the water quality condition of the water area is as follows:

wherein P is used for representing the water quality condition of the water area; p _i Information representative of all contaminants of the ith said sub-body of water; q. q.s _i ² A first correction coefficient used for representing the information of the average height corresponding to all the information acquisition points of the ith sub-water area to the pollutants of the ith sub-water area；a _i The second correction coefficient is used for representing the information of pollutants caused by the average acquisition influence corresponding to all the information acquisition points in the ith sub-water area; k is _i The sampling point linear coefficients are used for representing the ith sub-water area, the sampling point linear coefficient corresponding to each sub-water area is determined by the position of the sub-water area in the water area, and the sum of the sampling point linear coefficients corresponding to all the sub-water areas is equal to 1; w _it A pollution coefficient used for representing the t information sampling point in the ith sub water area; p _it The hyperspectral characteristic value is used for representing the t information sampling point in the ith sub water area; u shape _it The random error is used for representing the random error generated by the t information sampling point in the ith sub-water area; n is used for representing the total number of all the sub-waters; t is used to represent the total number of all the information sampling points of each of the sub-waters.

4. The intelligent monitoring method for the drinking water source according to claim 1 or 2, wherein the information of each sub-water area further comprises sewage discharge information of the sub-water area, the sewage discharge information of each sub-water area comprises sewage discharge outlet information and pollutant discharge information, the sewage discharge outlet information of each sub-water area comprises the position of the sewage discharge outlet, the size of the sewage discharge outlet and the type corresponding to the sewage discharge outlet, and the pollutant discharge information of each sub-water area comprises pollutant discharge flow, pollutant discharge concentration and pollutant discharge direction;

the method further comprises the following steps:

5. The intelligent monitoring method of a drinking water source according to claim 4, further comprising:

aiming at any one of the sub-waters, calculating a distance value between a sewage discharge outlet and a section surface of an adjacent sub-water area according to the position of the sewage discharge outlet of the sub-water area and the position of the section surface, close to the sub-water area, of the adjacent sub-water area of the sub-water area, wherein each section surface is used for separating two adjacent sub-water areas at the left side and the right side;

6. The intelligent monitoring method of a drinking water source of claim 5, further comprising:

7. The intelligent monitoring method for the drinking water source according to claim 1, 2, 5 or 6, wherein the equipment control parameters of the intelligent flight equipment further comprise camera parameters of the intelligent flight equipment;

the method further comprises the following steps:

in the process of acquiring the information of the sub-water area, judging whether the acquired information of the sub-water area meets a predetermined information quality requirement, and when the acquired information of the sub-water area does not meet the predetermined information quality requirement, calculating an information difference between the acquired information of the sub-water area and the information quality requirement, and acquiring information of a data acquisition range corresponding to the current flight position of the intelligent flight equipment, wherein the information of the data acquisition range comprises light intensity, water reflection intensity in the data acquisition range, water reflection angle in the data acquisition range and vertical height between the intelligent flight equipment and the data acquisition range;

8. An intelligent monitoring device for a drinking water source, the device comprising:

the control module is used for controlling the intelligent flight equipment to collect information of each sub-water area according to the equipment control parameters corresponding to each sub-water area, and the information of each sub-water area comprises hyperspectral information of the sub-water area;

the analysis module is used for analyzing the hyperspectral information of each sub water area to obtain the information of all pollutants of each sub water area, and the information of each pollutant of each sub water area comprises the concentration and the type of the pollutant;

9. An intelligent monitoring device for a source of drinking water, the device comprising:

a memory storing executable program code;

a processor coupled with the memory;

the processor invokes the executable program code stored in the memory to perform the intelligent monitoring method of drinking water source of any one of claims 1-7.

10. A computer storage medium storing computer instructions which, when invoked, perform a method for intelligent monitoring of a source of drinking water according to any one of claims 1 to 7.