CN117192057A - Water quality detection method, device and storage medium - Google Patents
Water quality detection method, device and storage medium Download PDFInfo
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- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 title claims abstract description 322
- 238000001514 detection method Methods 0.000 title claims abstract description 113
- 238000012544 monitoring process Methods 0.000 claims abstract description 61
- 238000004590 computer program Methods 0.000 claims abstract description 8
- 238000000034 method Methods 0.000 claims description 13
- 238000004458 analytical method Methods 0.000 claims description 12
- XKMRRTOUMJRJIA-UHFFFAOYSA-N ammonia nh3 Chemical compound N.N XKMRRTOUMJRJIA-UHFFFAOYSA-N 0.000 claims description 9
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims description 9
- 239000001301 oxygen Substances 0.000 claims description 9
- 229910052760 oxygen Inorganic materials 0.000 claims description 9
- 238000013498 data listing Methods 0.000 claims description 6
- 238000009877 rendering Methods 0.000 claims description 6
- 238000012360 testing method Methods 0.000 claims description 5
- 238000012512 characterization method Methods 0.000 claims description 4
- 238000010276 construction Methods 0.000 claims description 4
- 238000012372 quality testing Methods 0.000 claims description 4
- 238000012806 monitoring device Methods 0.000 abstract description 3
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- 238000006424 Flood reaction Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000035622 drinking Effects 0.000 description 1
- 239000003651 drinking water Substances 0.000 description 1
- 235000020188 drinking water Nutrition 0.000 description 1
- 239000003344 environmental pollutant Substances 0.000 description 1
- 229910052500 inorganic mineral Inorganic materials 0.000 description 1
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- 231100000719 pollutant Toxicity 0.000 description 1
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Abstract
The application discloses a water quality detection method, a water quality detection device and a storage medium, and relates to the technical field of water detection. The detection method comprises the following steps: constructing a detection basic model, collecting water quality information and feeding back, collecting flow information and feeding back, filling the water quality information and the flow information into the detection basic model to generate a water quality dynamic model, filling the water quality detection basic information into the detection basic model to generate a water quality monitoring model, and comparing the water quality dynamic model with the water quality dynamic model to obtain a water quality monitoring result and a flow monitoring result. The detection device is adapted for use in the detection method, and the storage medium stores a computer program that when executed by a processor implements the detection method. According to the application, the collected water quality information and flow information are imported into the detection basic model to generate the corresponding water quality dynamic model, and then the water quality dynamic model is compared with the water quality monitoring model, so that the water quality monitoring result and the flow monitoring result can be intuitively obtained, and the water quality monitoring device is convenient to use, high in precision and high in efficiency.
Description
Technical Field
The application relates to the technical field of water detection, in particular to a water quality detection method, a water quality detection device and a storage medium.
Background
Water quality detection is a necessary means for the purpose of protecting both drinking water and domestic water and ecology. The water quality detection can generally detect pollutants, mineral pH values and the like in the water body so as to analyze whether the water body is suitable for drinking or has the possibility of polluting the environment, and can monitor the flow, the flow speed and the like of the water body so as to predict floods, drought and the like.
The traditional water quality detection technology is generally realized by a mode of sampling detection or real-time detection in the field of water to be detected by a sensor, but the mode is characterized in that the detection is carried out by the sensor and then the result is referred to and compared, so that the problems of low detection efficiency and low detection precision exist, and therefore, a high-precision and high-efficiency water quality detection technology is needed.
Disclosure of Invention
The application aims to provide a water quality detection method, a water quality detection device and a storage medium, so as to solve the technical problems in the background technology.
In order to achieve the above purpose, the present application discloses the following technical solutions:
in a first aspect, the present application provides a water quality detection method comprising the steps of:
constructing a detection basic model;
collecting water quality information and feeding back, wherein the water quality information comprises: detecting the acquired water quality data by a sensor, wherein the water quality data comprises COD concentration, ammonia nitrogen concentration, water temperature, pH value, dissolved oxygen concentration, turbidity, water color and water sample picture in water;
collecting and feeding back flow information, wherein the flow information comprises water flow rate and water flow rate obtained through detection of a sensor;
and filling the water quality information and the flow information into the detection basic model to generate a water quality dynamic model, filling the water quality detection basic information into the detection basic model to generate a water quality monitoring model, and comparing the water quality dynamic model with the water quality dynamic model to obtain a water quality monitoring result and a flow monitoring result.
Preferably, the detection basic model comprises a flow channel width, a flow channel depth and a flow channel distribution representation of the periphery of the detection point of the environment to be detected.
Preferably, the generating of the water quality dynamic model specifically includes:
rendering a water sample in the detection basic model based on the water sample picture, the turbidity, the water color, the water flow rate and the water flow rate to obtain a water sample primary model;
and carrying out water quality data listing on the water body in the water sample primary model to obtain the water quality dynamic model.
Preferably, the water quality detection reference information comprises a COD concentration range value, an ammonia nitrogen concentration range value, a water temperature range value, a pH range value, a dissolved oxygen concentration range value, a turbidity range value, a water color range value, a water flow rate range value and a characteristic range corresponding to a water sample picture in water corresponding to standard water quality.
Preferably, the generating of the water quality monitoring model includes:
rendering a water sample in the detection basic model based on the water quality detection reference information to obtain a reference primary model;
and (3) carrying out water quality data listing on the water body in the reference primary model to obtain the water quality monitoring model.
Preferably, the comparing the water quality dynamic model with the water quality dynamic model specifically includes:
extracting a characteristic value A corresponding to water quality information or flow information in the water quality dynamic model, matching a characteristic value B corresponding to the water quality information or flow information in the water quality monitoring model, and acquiring a corresponding water quality monitoring result or flow monitoring result through a preset analysis algorithm;
the analysis algorithm is as follows:
wherein ρ is the result score,the average value of the characteristic values corresponding to the n pieces of water quality information or flow information selected in the appointed time is obtained.
In a second aspect, the application provides a water quality monitoring device suitable for the detection method, which comprises a water quality acquisition module, a flow acquisition module, a model construction module and a result acquisition module;
the water quality acquisition module is configured to: collecting water quality information of a detected water area, wherein the water quality information comprises: detecting the acquired water quality data by a sensor, wherein the water quality data comprises COD concentration, ammonia nitrogen concentration, water temperature, pH value, dissolved oxygen concentration, turbidity, water color and water sample picture in water;
the flow acquisition module is configured to: collecting flow information of a detected water area, wherein the flow information comprises water flow rate and water flow rate obtained through detection of a sensor;
the model building module is configured to: constructing a detection basic model, filling the water quality information and the flow information into the detection basic model to generate a water quality dynamic model, and filling the water quality detection reference information into the detection basic model to generate a water quality monitoring model;
the result acquisition module is configured to: and comparing the water quality dynamic model with the water quality dynamic model to obtain a water quality monitoring result and a flow monitoring result.
Preferably, the detection basic model comprises a flow channel width, a flow channel depth and a flow channel distribution representation of the periphery of the detection point of the environment to be detected.
Preferably, the comparing the water quality dynamic model with the water quality dynamic model specifically includes:
extracting a characteristic value A corresponding to water quality information or flow information in the water quality dynamic model, matching a characteristic value B corresponding to the water quality information or flow information in the water quality monitoring model, and acquiring a corresponding water quality monitoring result or flow monitoring result through a preset analysis algorithm;
the analysis algorithm is as follows:
wherein ρ is the result score,the average value of the characteristic values corresponding to the n pieces of water quality information or flow information selected in the appointed time is obtained.
In a third aspect, the present application discloses a computer readable storage medium having stored thereon a computer program executable by a processor, which when executed by the processor, implements a water quality detection method as described above.
The beneficial effects are that: according to the water quality detection method, the device and the storage medium, the collected water quality information and the flow information are imported into the detection basic model to generate the corresponding water quality dynamic model, so that continuous detection of the water body in the water to be detected is realized, meanwhile, the water quality detection basic information is filled into the detection basic model to generate the water quality monitoring model, and then the water quality dynamic model is compared with the water quality monitoring model, so that the water quality monitoring result and the flow monitoring result are intuitively obtained, and the water quality detection method is convenient to use, high in precision and high in efficiency.
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In order to more clearly illustrate the embodiments of the application or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method for detecting water quality according to an embodiment of the application.
Fig. 2 is a block diagram of a water quality detecting apparatus according to an embodiment of the present application.
Detailed Description
The following description of the technical solutions in the embodiments of the present application will be clear and complete, and it is obvious that the described embodiments are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
In this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises the element.
In a first aspect, this embodiment discloses a water quality testing method as shown in fig. 1, which includes a pre-stage and a testing stage.
Wherein the early stage comprises the following steps:
s101, constructing a detection basic model;
s102, filling the water quality detection reference information into the detection basic model to generate a water quality monitoring model.
Wherein the detection phase comprises the following steps:
s201-acquiring and feeding back water quality information, wherein the water quality information comprises: detecting the acquired water quality data by a sensor, wherein the water quality data comprises COD concentration, ammonia nitrogen concentration, water temperature, pH value, dissolved oxygen concentration, turbidity, water color and water sample picture in water;
s202, collecting and feeding back flow information, wherein the flow information comprises water flow and water flow obtained through detection of a sensor;
s203, filling the water quality information and the flow information into the detection basic model to generate a water quality dynamic model, and comparing the water quality dynamic model with the water quality dynamic model to obtain a water quality monitoring result and a flow monitoring result.
By means of the water quality detection method, the collected water quality information and flow information are led into the detection basic model to generate the corresponding water quality dynamic model, so that continuous detection of the water body in the water to be detected is achieved, meanwhile, the water quality detection basic information is filled into the detection basic model to generate the water quality monitoring model, and then the water quality dynamic model is compared with the water quality monitoring model, so that the water quality monitoring result and the flow monitoring result are intuitively obtained, and the water quality detection method is convenient to use, high in accuracy and high in efficiency.
In this embodiment, the detection base model includes a flow channel width, a flow channel depth, and a flow channel distribution characterization of the periphery of the detection point of the environment to be detected. The method is characterized in that the detection basic model is constructed by adopting three-dimensional modeling software and rendering software in the prior art and is used for virtually modeling the detected water area, so that the overall view of the detected water area is comprehensively displayed, and visual detection objects are provided for subsequent water quality detection.
As a possible implementation manner of this embodiment, the generating of the water quality dynamic model specifically includes:
rendering a water sample in the detection basic model based on the water sample picture, the turbidity, the water color, the water flow rate and the water flow rate to obtain a water sample primary model;
and carrying out water quality data listing on the water body in the water sample primary model to obtain the water quality dynamic model.
The water quality detection reference information comprises a COD concentration range value, an ammonia nitrogen concentration range value, a water temperature range value, a pH range value, a dissolved oxygen concentration range value, a turbidity range value, a water color range value, a water flow rate range value and a characteristic range corresponding to a water sample picture in water corresponding to standard water quality.
Likewise, the generation of the water quality monitoring model comprises the following steps:
rendering a water sample in the detection basic model based on the water quality detection reference information to obtain a reference primary model;
and (3) carrying out water quality data listing on the water body in the reference primary model to obtain the water quality monitoring model.
By means of the construction of the water quality monitoring model and the water quality dynamic model, the comparison of the water quality dynamic model and the water quality dynamic model specifically comprises the following steps:
extracting a characteristic value A corresponding to water quality information or flow information in the water quality dynamic model, matching a characteristic value B corresponding to the water quality information or flow information in the water quality monitoring model, and acquiring a corresponding water quality monitoring result or flow monitoring result through a preset analysis algorithm;
the analysis algorithm is as follows:
wherein ρ is the result score,the average value of the characteristic values corresponding to the n pieces of water quality information or flow information selected in the appointed time is obtained.
In a second aspect, the embodiment discloses a water quality detection device as shown in fig. 2, which comprises a water quality acquisition module, a flow acquisition module, a model construction module and a result acquisition module.
Specifically, the water quality acquisition module is configured to: collecting water quality information of a detected water area, wherein the water quality information comprises: and detecting the acquired water quality data by using a sensor, wherein the water quality data comprises COD concentration, ammonia nitrogen concentration, water temperature, pH value, dissolved oxygen concentration, turbidity, water color and water sample picture in water.
Specifically, the flow acquisition module is configured to: and collecting flow information of the detected water area, wherein the flow information comprises water flow rate and water flow rate obtained through detection of a sensor.
Specifically, the model building module is configured to: and constructing a detection basic model, filling the water quality information and the flow information into the detection basic model to generate a water quality dynamic model, and filling the water quality detection reference information into the detection basic model to generate a water quality monitoring model.
Specifically, the result obtaining module is configured to: and comparing the water quality dynamic model with the water quality dynamic model to obtain a water quality monitoring result and a flow monitoring result.
It should be noted that, the water quality detection device disclosed in this embodiment is applicable to the above water quality detection method, so in this embodiment, the detection base model includes a flow channel width, a flow channel depth, and a flow channel distribution characterization of a periphery side of a detection point of an environment to be detected. And comparing the water quality dynamic model with the water quality dynamic model, specifically comprising:
extracting a characteristic value A corresponding to water quality information or flow information in the water quality dynamic model, matching a characteristic value B corresponding to the water quality information or flow information in the water quality monitoring model, and acquiring a corresponding water quality monitoring result or flow monitoring result through a preset analysis algorithm;
the analysis algorithm is as follows:
wherein ρ is the result score,the average value of the characteristic values corresponding to the n pieces of water quality information or flow information selected in the appointed time is obtained.
In addition, since the detection device is suitable for the detection method, other functions and implementation contents of each module in the device can refer to the corresponding disclosure in the detection method, and the disclosure is omitted herein.
The present embodiment in a third aspect discloses a computer readable storage medium having stored thereon a computer program executable by a processor, which when executed by the processor, implements a water quality detection method as described above.
In the embodiments provided by the present application, it should be understood that each module in the monitoring device is communicatively connected to and controlled by the processor to implement the corresponding function. Wherein the processor may be implemented in one or more of the following units: an Application Specific Integrated Circuit (ASIC), a Digital Signal Processor (DSP), a Digital Signal Processing Device (DSPD), a Programmable Logic Device (PLD), a Field Programmable Gate Array (FPGA), a processor, a controller, a microcontroller, a microprocessor, other electronic units designed to perform the functions described herein, or a combination thereof. For the detection method, part or all of its flow may be accomplished by a computer program to instruct the relevant hardware. When implemented, the above-described computer programs may be stored in or transmitted as one or more instructions or code on a computer-readable storage medium. Computer-readable storage media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a computer. The computer-readable storage media may include, but is not limited to, RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer.
In summary, the water quality detection method, the device and the storage medium of the application introduce the collected water quality information and the flow information into the detection basic model to generate the corresponding water quality dynamic model, thereby realizing continuous detection of the water body in the water area to be detected, and simultaneously, the water quality detection basic information is filled into the detection basic model to generate the water quality monitoring model, and then the water quality dynamic model is compared with the water quality monitoring model, so that the water quality monitoring result and the flow monitoring result are intuitively obtained, the use is convenient, and the precision and the efficiency are high.
Finally, it should be noted that: the foregoing description is only illustrative of the preferred embodiments of the present application, and although the present application has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that modifications may be made to the embodiments described, or equivalents may be substituted for elements thereof, and any modifications, equivalents, improvements or changes may be made without departing from the spirit and principles of the present application.
Claims (10)
1. A water quality detection method is characterized by comprising the following steps:
constructing a detection basic model;
collecting water quality information and feeding back, wherein the water quality information comprises: detecting the acquired water quality data by a sensor, wherein the water quality data comprises COD concentration, ammonia nitrogen concentration, water temperature, pH value, dissolved oxygen concentration, turbidity, water color and water sample picture in water;
collecting and feeding back flow information, wherein the flow information comprises water flow rate and water flow rate obtained through detection of a sensor;
and filling the water quality information and the flow information into the detection basic model to generate a water quality dynamic model, filling the water quality detection basic information into the detection basic model to generate a water quality monitoring model, and comparing the water quality dynamic model with the water quality dynamic model to obtain a water quality monitoring result and a flow monitoring result.
2. The water quality testing method according to claim 1, wherein the testing basic model comprises a flow channel width, a flow channel depth and a flow channel distribution characterization of the periphery of the testing point of the environment to be tested.
3. The water quality detection method according to claim 1, wherein the generation of the dynamic model of water quality specifically comprises:
rendering a water sample in the detection basic model based on the water sample picture, the turbidity, the water color, the water flow rate and the water flow rate to obtain a water sample primary model;
and carrying out water quality data listing on the water body in the water sample primary model to obtain the water quality dynamic model.
4. The method according to claim 3, wherein the water quality detection reference information includes a COD concentration range value, an ammonia nitrogen concentration range value, a water temperature range value, a pH range value, a dissolved oxygen concentration range value, a turbidity range value, a water color range value, a water flow rate range value, and a characteristic range corresponding to a water sample picture in water corresponding to a standard water quality.
5. The water quality testing method of claim 4, wherein the generating of the water quality monitoring model comprises:
rendering a water sample in the detection basic model based on the water quality detection reference information to obtain a reference primary model;
and (3) carrying out water quality data listing on the water body in the reference primary model to obtain the water quality monitoring model.
6. The method for detecting water quality according to claim 1, wherein the comparing the water quality dynamic model with the water quality dynamic model specifically comprises:
extracting a characteristic value A corresponding to water quality information or flow information in the water quality dynamic model, matching a characteristic value B corresponding to the water quality information or flow information in the water quality monitoring model, and acquiring a corresponding water quality monitoring result or flow monitoring result through a preset analysis algorithm;
the analysis algorithm is as follows:
wherein ρ is the result score,for selection within a specified timeAverage value of the characteristic values corresponding to the n pieces of water quality information or flow information.
7. The water quality detection device is characterized by comprising a water quality acquisition module, a flow acquisition module, a model construction module and a result acquisition module;
the water quality acquisition module is configured to: collecting water quality information of a detected water area, wherein the water quality information comprises: detecting the acquired water quality data by a sensor, wherein the water quality data comprises COD concentration, ammonia nitrogen concentration, water temperature, pH value, dissolved oxygen concentration, turbidity, water color and water sample picture in water;
the flow acquisition module is configured to: collecting flow information of a detected water area, wherein the flow information comprises water flow rate and water flow rate obtained through detection of a sensor;
the model building module is configured to: constructing a detection basic model, filling the water quality information and the flow information into the detection basic model to generate a water quality dynamic model, and filling the water quality detection reference information into the detection basic model to generate a water quality monitoring model;
the result acquisition module is configured to: and comparing the water quality dynamic model with the water quality dynamic model to obtain a water quality monitoring result and a flow monitoring result.
8. The water quality testing device of claim 7, wherein the test base model comprises a flow channel width, a flow channel depth and a flow channel distribution characterization of the periphery of the test point of the environment to be tested.
9. The apparatus of claim 7, wherein said comparing said water quality dynamic model with said water quality dynamic model comprises:
extracting a characteristic value A corresponding to water quality information or flow information in the water quality dynamic model, matching a characteristic value B corresponding to the water quality information or flow information in the water quality monitoring model, and acquiring a corresponding water quality monitoring result or flow monitoring result through a preset analysis algorithm;
the analysis algorithm is as follows:
wherein ρ is the result score,the average value of the characteristic values corresponding to the n pieces of water quality information or flow information selected in the appointed time is obtained.
10. A computer readable storage medium, wherein a computer program executable by a processor is stored on the computer readable storage medium, which computer program, when executed by the processor, implements the water quality detection method according to any one of claims 1-6.
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