CN116343939B - Intelligent underground water detection map system based on Internet of things - Google Patents
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Abstract
The invention provides a digital intelligent underground water detection map system based on the Internet of things, and relates to the technical field of underground water detection. The system comprises a control terminal, a sample sampling module, a sample module to be detected, a sample index classification statistical module, a spectrum analysis processing module, an information receiving and transmitting module, a reference index input module, an index data processing module, a cloud database module, a user module and a data reading module, wherein the output end of the sample module to be detected is connected with the input end of the spectrum analysis processing module. The underground water detection system has the beneficial effects that the underground water detection content is refined, so that the underground water detection effect is improved, the underground water harmful medicament residue and pollutant component detection system is optimized, the functions are various, the digital intelligence degree is high, the cloud database module is used for storing and recording, the data reading module is used for facilitating later-stage tracing, and the safety of the underground water is ensured.
Description
Technical Field
The invention relates to the technical field of groundwater detection, in particular to a digital intelligent groundwater detection map system based on the Internet of things.
Background
Groundwater is one of the important freshwater sources for human survival and is an important source of water in many countries and regions. According to preliminary statistics, the population of China for drinking groundwater accounts for 70% of the total population of China. With the increasing of the activity degree of human beings, the problem of groundwater pollution caused by the increasing of the activity degree of human beings is more serious, more attention is paid to pollutants in a groundwater system at home and abroad, a great deal of research is carried out on the aspects of source identification and pollution prevention and control, important achievements are achieved, and in recent years, with the increasing of understanding of the pollutant composition of the groundwater system, novel pollutants with potential hazards are gradually attracting wide attention. Because of the complex variety and sources of the novel pollutants in the underground water and relatively low content, the source identification is a difficult point in research work.
However, the existing detection system for harmful chemical residues and pollutant components in groundwater has single function and can only detect a certain item, so that the working links are increased, the detection system does not have data spectrum comparison and perfect data storage functions, is easy to cause data loss, is inconvenient to use and has low intelligent degree, and therefore, aiming at the problems, a digital intelligent groundwater detection spectrum system based on the Internet of things is needed.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a digital intelligent underground water detection map system based on the Internet of things, which solves the problems of single function and low digital intelligent degree of the underground water detection system used at present.
In order to achieve the above purpose, the invention is realized by the following technical scheme: the utility model provides a digital intelligence groundwater detection map system based on thing networking, includes control terminal, sample sampling module, treats the sample module, sample index classification statistics module, map analysis processing module, information transceiver module, benchmark index input module, index data processing module, high in the clouds database module, user module, data reading module, the output of sample sampling module links to each other with the input of treating the sample module that detects, the output of treating the sample module links to each other with the input of map analysis processing module, the output of map analysis processing module links to each other with the input of high in the clouds database module, the output of control terminal links to each other with the input of sample index classification statistics module, the output of sample index classification statistics module links to each other with the input of information transceiver module, the output of information transceiver module links to each other with the input of high in the clouds database module, the output of high in the clouds database module links to each other with the input of data reading module, the output of benchmark index input module links to each other with the input of information transceiver module, the output of user module links to each other with the input of high in the cloud database module.
Preferably, the sample index classification statistics module comprises a water quality physical index statistics module, a water quality chemical index statistics module and a water quality microorganism index statistics module, wherein the water quality physical index statistics module is used for carrying out classification statistics on physical substance content data in underground water, the water quality chemical index statistics module is used for carrying out classification statistics on chemical substance content data in underground water, and the water quality microorganism index statistics module is used for carrying out classification statistics on microorganism substance content data in underground water.
Preferably, the water quality physical index statistical module comprises a sensory physical index statistical unit and a non-sensory physical index statistical unit, wherein the sensory physical index statistical unit is used for carrying out test statistics on the temperature, chromaticity, turbidity and transparency data of the underground water, and the non-sensory physical index statistical unit is used for carrying out test statistics on the total solids, suspended solids, fixed solids and conductivity data of the underground water.
Preferably, the water quality chemical index statistics module comprises a water quality pH value index statistics unit and a water quality organic matter index statistics unit, wherein the water quality pH value index statistics unit is used for carrying out test statistics on the pH value of underground water, and the water quality organic matter index statistics unit is used for carrying out test statistics on organic matter content data in the underground water.
Preferably, the water quality microorganism index statistics module comprises a total bacterial count index statistics unit, a pathogenic bacterial index statistics unit and an escherichia coli count index statistics unit, wherein the total bacterial count index statistics unit is used for carrying out test statistics on total bacterial count content data in groundwater, the pathogenic bacterial index statistics unit is used for carrying out test statistics on pathogenic bacterial content data in groundwater, and the escherichia coli count index statistics unit is used for carrying out test statistics on escherichia coli count content data in groundwater.
Preferably, the data processing module comprises a data receiving and transmitting unit, a data integration unit, an information storage unit, a data information output unit, a data judging unit, an index abnormality alarm unit and an index abnormality display unit, wherein the output end of the data receiving and transmitting unit is connected with the input end of the data integration unit, the output end of the data integration unit is connected with the input end of the information storage unit, the output end of the information storage unit is connected with the input end of the data information output unit, the output end of the data receiving and transmitting unit is connected with the input end of the data judging unit, the output end of the data judging unit is connected with the input end of the index abnormality alarm unit, the output end of the index abnormality alarm unit is connected with the input end of the index abnormality display unit, the output end of the index abnormality display unit is connected with the input end of the data information output unit in a cloud, and the output end of the data information output unit is connected with the database module.
Preferably, the user module comprises a user registration unit, an identification login unit, a fingerprint information identification unit and a digital password information identification unit, wherein the output end of the user registration unit is connected with the input end of the identification login unit, the output end of the fingerprint information identification unit is connected with the input end of the identification login unit, and the output end of the digital password information identification unit is connected with the input end of the identification login unit.
Preferably, the fingerprint information identification unit is used for identifying and verifying the entered fingerprint of the user, and the digital password information identification unit is used for identifying and verifying the entered digital password information.
Working principle: sampling groundwater to be detected through a sample sampling module, feeding sample information back to a sample module to be detected, sending the sample information to a graph analysis processing module through the sample module to be detected for graph analysis and comparison to obtain graph data, sending data obtained by the graph analysis processing module to a cloud database module for storage, carrying out sample classification on a sample index classification statistical module through a control terminal, sending reference index information to an information receiving and sending module through a reference index input module, packaging and sending data and reference index obtained after sample index classification statistics to an index data processing module for test analysis processing through the information receiving and sending module, uploading data analyzed and processed by the index data processing module to the cloud database module for storage, and reading data through a data reading module, the user can read the detection data in the cloud database module, log in the cloud database and review the data through the user module, classify and count the physical substance content data in the underground water through the water quality physical index statistics module, classify and count the chemical substance content data in the underground water through the water quality chemical index statistics module, classify and count the microorganism substance content data in the underground water through the water quality microorganism index statistics module, test and count the temperature, chromaticity, turbidity and transparency data of the underground water through the sensory physical index statistics unit, test and count the total solid, suspended solid, fixed solid and conductivity data in the underground water through the non-sensory physical index statistics unit, test and count the pH value of the underground water through the water quality pH value index statistics unit, the method comprises the steps of carrying out test statistics on organic matter content data in underground water through a water quality organic matter index statistics unit, carrying out test statistics on the total bacterial content data in the underground water through a total bacterial count index statistics unit, carrying out test statistics on the total bacterial content data in the underground water through a pathogenic bacterial index statistics unit, carrying out test statistics on the coliform count content data in the underground water through an coliform count index statistics unit, receiving data subjected to sample index classification statistics and reference indexes through a data receiving and transmitting unit, carrying out sorting and merging on the data subjected to sample index classification statistics and the data subjected to the reference indexes through a data integrating unit, sending the sorted and merged data to an information storage unit through a data integrating unit, storing the data through a data information output unit, sending the data to a cloud database module, carrying out comparison analysis on the data subjected to sample index classification statistics and the data of the reference indexes through a data judging unit, carrying out alarm prompt through an index anomaly alarming unit if the data is found, carrying out data red display through an index anomaly data transmitting unit, sending the anomaly data to a data input password identification module, carrying out verification information through a data input password identification module, and carrying out password identification information input through a user password verification module, and recording the user password identification module.
The invention provides a digital intelligent underground water detection map system based on the Internet of things. The beneficial effects are as follows:
according to the invention, the content in the underground water detection is refined by adding the sample index classification statistical module, the abnormal data is marked and displayed by the data processing module, and the underground water is subjected to chromatographic analysis by the map analysis processing module, so that the detection system of harmful medicament residues and pollutant components of the underground water is optimized, the functions are various, the intelligent degree is high, the detection effect of the underground water is good, the use supervision of the underground water is more standard, the cloud database module is additionally arranged for storage and recording, the later tracing is facilitated by additionally arranging the data reading module, and the safety of the underground water is ensured.
Drawings
Fig. 1 is a flow chart of a digital intelligent underground water detection map system based on the internet of things;
fig. 2 is a framework diagram of a sample index classification and statistics module of the intelligent groundwater detection map system based on the internet of things;
fig. 3 is a frame diagram of a water quality physical index statistics module of the intelligent groundwater detection map system based on the internet of things;
fig. 4 is a framework diagram of a water quality chemical index statistics module of the intelligent groundwater detection map system based on the internet of things;
FIG. 5 is a block diagram of a water quality microorganism index statistical module of the intelligent groundwater detection map system based on the Internet of things;
fig. 6 is a flow chart of a data processing module of the intelligent groundwater detection map system based on the internet of things;
fig. 7 is a flowchart of a user module of the intelligent underground water detection map system based on the internet of things.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
As shown in fig. 1, the embodiment of the invention provides a digital intelligent underground water detection spectrum system based on the internet of things, which comprises a control terminal, a sample sampling module, a sample module to be detected, a sample index classification statistical module, a spectrum analysis processing module, an information receiving and transmitting module, a reference index input module, an index data processing module, a cloud database module, a user module and a data reading module, wherein the output end of the sample sampling module is connected with the input end of the sample module to be detected, the sample sampling module is used for sampling underground water to be detected and feeding sample information back to the sample module to be detected, the output end of the sample module to be detected is connected with the input end of the spectrum analysis processing module, sample information is sent to the graph analysis processing module to be subjected to spectrum analysis comparison through the sample module to be detected, the output end of the spectrum analysis processing module is connected with the input end of the cloud database module, the data obtained by the spectrum analysis processing module is sent to the cloud database module to be stored, the output end of the control terminal is connected with the input end of the sample index classification statistical module, the sample index statistical module is subjected to sample classification is carried out through the control terminal, the output end of the sample index statistical module is connected with the sample index module to be subjected to sample analysis processing module, the sample information is sent to the reference index analysis processing module, the reference index information is sent to the graph analysis processing module, the sample information is sent to the reference index information after the sample information is sent to the reference index analysis processing module to the sample information is sent to the reference information, the output end of the index data processing module is connected with the input end of the cloud database module, data analyzed and processed by the index data processing module is uploaded to the cloud database module for storage, the output end of the cloud database module is connected with the input end of the data reading module, a user can read detection data in the cloud database module through the data reading module, the output end of the reference index input module is connected with the input end of the information receiving and transmitting module, the output end of the user module is connected with the input end of the cloud database module, the user can log in the cloud database and review the data through the user module, the content in groundwater detection is refined through the additionally arranged sample index classification statistical module, and storage records are carried out through the additionally arranged cloud database module.
As shown in fig. 2, the sample index classification statistics module includes a water quality physical index statistics module, a water quality chemical index statistics module, and a water quality microorganism index statistics module, wherein the water quality physical index statistics module is used for classifying and counting physical substance content data in groundwater, the water quality chemical index statistics module is used for classifying and counting chemical substance content data in groundwater, the water quality microorganism index statistics module is used for classifying and counting microorganism substance content data in groundwater, abnormal data are marked and displayed through the data processing module, and the groundwater is subjected to chromatographic analysis through the map analysis processing module, so that a detection system of groundwater harmful agent residues and pollutant components is optimized, the functions are various, the degree of data intelligence is high, and the detection effect of groundwater is good.
As shown in fig. 3, the water quality physical index statistics module includes a sensory physical index statistics unit for testing and counting the temperature, chromaticity, turbidity and transparency data of the groundwater, and a non-sensory physical index statistics unit for testing and counting the total solids, suspended solids, fixed solids and conductivity data of the groundwater, and the water quality of the groundwater is primarily detected by the water quality physical index statistics module.
As shown in fig. 4, the water quality chemical index statistics module includes a water quality pH index statistics unit for performing test statistics on the pH value of the groundwater, and a water quality organic index statistics unit for performing test statistics on organic content data in the groundwater, and further detecting the quality of the groundwater through the water quality chemical index statistics module.
As shown in fig. 5, the water quality microorganism index statistics module comprises a total bacterial count index statistics unit, a pathogenic bacterial index statistics unit and an escherichia coli count index statistics unit, wherein the total bacterial count index statistics unit is used for carrying out test statistics on total bacterial count content data in underground water, the pathogenic bacterial index statistics unit is used for carrying out test statistics on pathogenic bacterial content data in underground water, the escherichia coli count index statistics unit is used for carrying out test statistics on escherichia coli count content data in underground water, the water quality of the underground water is further detected through the water quality microorganism index statistics module, and the pathogenic microorganisms in the underground water are strictly controlled.
As shown in fig. 6, the data processing module comprises a data transceiver unit, a data integrating unit, an information storage unit, a data information output unit, a data judging unit, an index abnormality alarm unit and an index abnormality display unit, wherein the output end of the data transceiver unit is connected with the input end of the data integrating unit, data after sample index classification statistics and reference index are received through the data transceiver unit, the data after sample index classification statistics and reference index data are combined through the data integrating unit, the output end of the data integrating unit is connected with the input end of the information storage unit, the combined data is sent to the information storage unit through the data integrating unit for storage, the output end of the information storage unit is connected with the input end of the data information output unit, the data is transmitted to the cloud database module for storage through the data information output unit, the later traceability data is facilitated, the output end of the data transceiver unit is connected with the input end of the data judging unit, the output end of the data judging unit is connected with the input end of the data after sample index classification statistics and reference index abnormality alarm unit, the output alarm unit is displayed when the abnormal index is compared with the alarm unit, the abnormal index is displayed when the abnormal index is detected by the data is displayed, the output end of the data information output unit is connected with the cloud database module, and abnormal data is sent to the cloud database module through the data information output unit, so that the abnormal data is stored, and the later tracing is facilitated.
As shown in fig. 7, the user module includes a user registration unit, an identity identification login unit, a fingerprint information identification unit, and a digital password information identification unit, wherein the output end of the user registration unit is connected with the input end of the identity identification login unit, the output end of the fingerprint information identification unit is connected with the input end of the identity identification login unit, the output end of the digital password information identification unit is connected with the fingerprint information identification unit for identifying and verifying the entered fingerprint of the user, the digital password information identification unit is used for identifying and verifying the entered digital password information, relevant user information is filled in through the user registration unit and stored in the cloud database module, the entered fingerprint of the user is identified and verified through the fingerprint information identification unit, the entered digital password information is identified and verified through the digital password information identification unit, and the added data reading module is helpful for later tracing, so that the safety of underground water is ensured.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations may be made therein without departing from the spirit and scope of the invention as defined by the appended claims and their equivalents.
Claims (2)
1. The utility model provides a count intelligence groundwater detection map system based on thing networking, includes control terminal, sample sampling module, waits to detect sample module, sample index classification statistics module, map analysis processing module, information transceiver module, benchmark index input module, index data processing module, high in the clouds database module, user module, data reading module, its characterized in that: the output end of the sample sampling module is connected with the input end of the sample module to be detected, the output end of the sample module to be detected is connected with the input end of the spectrum analysis processing module, the output end of the spectrum analysis processing module is connected with the input end of the cloud database module, the output end of the control terminal is connected with the input end of the sample index classification statistics module, the output end of the sample index classification statistics module is connected with the input end of the information receiving and transmitting module, the output end of the information receiving and transmitting module is connected with the input end of the index data processing module, the output end of the index data processing module is connected with the input end of the cloud database module, the output end of the reference index input module is connected with the input end of the information receiving and transmitting module, and the output end of the user module is connected with the input end of the cloud database module;
the sample index classification and statistics module comprises a water quality physical index statistics module, a water quality chemical index statistics module and a water quality microorganism index statistics module, wherein the water quality physical index statistics module is used for carrying out classification and statistics on physical substance content data in underground water, the water quality chemical index statistics module is used for carrying out classification and statistics on chemical substance content data in underground water, and the water quality microorganism index statistics module is used for carrying out classification and statistics on microorganism substance content data in underground water;
the water quality physical index statistical module comprises a sensory physical index statistical unit and a non-sensory physical index statistical unit, wherein the sensory physical index statistical unit is used for carrying out test statistics on the temperature, chromaticity, turbidity and transparency data of the underground water, and the non-sensory physical index statistical unit is used for carrying out test statistics on the total solids, suspended solids, fixed solids and conductivity data of the underground water;
the water quality chemical index statistics module comprises a water quality pH value index statistics unit and a water quality organic matter index statistics unit, wherein the water quality pH value index statistics unit is used for carrying out test statistics on the pH value of underground water, and the water quality organic matter index statistics unit is used for carrying out test statistics on organic matter content data in the underground water;
the water quality microorganism index statistics module comprises a total bacterial count index statistics unit, a pathogenic bacterial index statistics unit and an escherichia coli count index statistics unit, wherein the total bacterial count index statistics unit is used for carrying out test statistics on total bacterial count content data in underground water, the pathogenic bacterial index statistics unit is used for carrying out test statistics on pathogenic bacterial content data in underground water, and the escherichia coli count index statistics unit is used for carrying out test statistics on escherichia coli count content data in underground water;
the data processing module comprises a data receiving and transmitting unit, a data integration unit, an information storage unit, a data information output unit, a data judging unit, an index abnormality alarm unit and an index abnormality display unit, wherein the output end of the data receiving and transmitting unit is connected with the input end of the data integration unit, the output end of the data integration unit is connected with the input end of the information storage unit, the output end of the information storage unit is connected with the input end of the data information output unit, the output end of the data receiving and transmitting unit is connected with the input end of the data judging unit, the output end of the data judging unit is connected with the input end of the index abnormality alarm unit, the output end of the index abnormality alarm unit is connected with the input end of the index abnormality display unit, and the output end of the data information output unit is connected with the cloud database module;
the user module comprises a user registration unit, an identity identification login unit, a fingerprint information identification unit and a digital password information identification unit, wherein the output end of the user registration unit is connected with the input end of the identity identification login unit, the output end of the fingerprint information identification unit is connected with the input end of the identity identification login unit, and the output end of the digital password information identification unit is connected with the input end of the identity identification login unit;
the fingerprint information identification unit is used for identifying and verifying the entered fingerprint of the user, and the digital password information identification unit is used for identifying and verifying the entered digital password information.
2. A method for detecting a map of intelligent underground water is characterized by comprising the following steps: the intelligent underground water detection map system based on the Internet of things, which is used in the system, comprises the following steps:
step one, sampling groundwater to be detected through a sample sampling module, feeding sample information back to a sample module to be detected, sending the sample information to a graph analysis processing module through the sample module to be detected for graph and chromatographic analysis comparison to obtain graph data, sending data obtained by the graph analysis processing module to a cloud database module for storage, carrying out sample classification on a sample index classification statistical module through a control terminal, sending reference index information to an information receiving and sending module through a reference index input module, packaging and sending data and reference indexes after sample index classification statistics to an index data processing module for test analysis processing, uploading the data analyzed and processed by the index data processing module to the cloud database module for storage, and reading detection data in the cloud database module by a user through a data reading module, and logging in the cloud database and consulting the data by the user module;
classifying and counting physical substance content data in underground water through a water quality physical index counting module, classifying and counting chemical substance content data in underground water through a water quality chemical index counting module, classifying and counting microbial substance content data in underground water through a water quality microbial index counting module, testing and counting data such as underground water temperature, chromaticity, turbidity, transparency and the like through a sensory physical index counting unit, testing and counting data such as total solids, suspended solids, fixed solids, conductivity and the like in underground water through a non-sensory physical index counting unit, testing and counting the pH value of underground water through a water quality pH value index counting unit, testing and counting organic substance content data in underground water through a water quality organic substance index counting unit, testing and counting total bacterial count content data in underground water through a pathogenic bacterial index counting unit, testing and counting pathogenic bacterial content data in underground water through a coliform number index counting unit;
step three, receiving data and reference indexes after sample index classification statistics through a data receiving and transmitting unit, sorting and merging the data and reference index data after sample index classification statistics through a data integration unit, sending the sorted and merged data to an information storage unit for storage through a data integration unit, transmitting the data to a cloud database module for storage through a data information output unit, sending the data and reference index data after sample index classification statistics to a data judging unit through the data receiving and transmitting unit, comparing and analyzing the data and reference index data after sample index classification statistics through the data judging unit, if the data exceeds the index, carrying out alarm prompt through an index abnormality alarm unit, uploading the data to an index abnormality display unit for data red display, and sending abnormal data to the cloud database module for storage through the data information output unit;
and fourthly, filling relevant user information through a user registration unit, storing the information into a cloud database module, carrying out identification verification on the fingerprints input by the user through a fingerprint information identification unit, and carrying out identification verification on the input digital password information through a digital password information identification unit.
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| CN111443171A (en) * | 2020-01-18 | 2020-07-24 | 芜湖职业技术学院 | Portable multifunctional food safety detection system |
| CN115876730A (en) * | 2021-09-27 | 2023-03-31 | 中国石油化工股份有限公司 | Underground water pollution early warning traceability system and method |
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