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CN113280858A - Watershed water environment ecological safety early warning method - Google Patents

Watershed water environment ecological safety early warning method Download PDF

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Publication number
CN113280858A
CN113280858A CN202110559365.8A CN202110559365A CN113280858A CN 113280858 A CN113280858 A CN 113280858A CN 202110559365 A CN202110559365 A CN 202110559365A CN 113280858 A CN113280858 A CN 113280858A
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data
monitoring
alarm
computer
processing system
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CN202110559365.8A
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Inventor
陈慧婷
苏帆
余旖旎
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Centre Testing International Group Co ltd
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Centre Testing International Group Co ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01DMEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D21/00Measuring or testing not otherwise provided for
    • G01D21/02Measuring two or more variables by means not covered by a single other subclass

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Alarm Systems (AREA)

Abstract

The invention discloses a watershed water environment ecological safety early warning method, which comprises the following steps: s1: preparing a hardware facility: a computer, a water quality detector, a water flow velocity detector, a level gauge, a controller, an alarm and a remote sensing satellite which are internally provided with a data processing system; s2: firstly, the remote sensing satellite is used for carrying out real-time unified monitoring on a drainage basin monitoring area, the remote sensing satellite transmits monitoring data to a computer, and a data processing system in the computer carries out preprocessing on the monitoring data. According to the invention, the remote sensing satellite is convenient for uniformly monitoring a plurality of drainage basin monitoring areas, the areas which do not meet the standard can be separately screened out for specific monitoring and grading, the monitoring efficiency is improved, different degrees of targeted alarm can be conveniently carried out according to the conditions of the drainage basin monitoring areas, personnel can conveniently and visually judge the conditions of the drainage basin monitoring areas, and the use requirements are met.

Description

Watershed water environment ecological safety early warning method
Technical Field
The invention relates to the field of watershed water environment ecological safety early warning, in particular to a watershed water environment ecological safety early warning method.
Background
The watershed is a complex natural geographical area, which takes surface water and underground water as main links, and is closely connected with natural support systems such as water circulation, land cover and ecosystem in a specific area and a comprehensive ecological regional system of socioeconomic systems such as population, economy and society, in the prior art, water quality monitoring equipment is often adopted to monitor the water quality condition of a certain watershed monitoring area, and the water quality monitoring equipment specifically comprises the following components: a certain amount of water samples are taken out from the drainage basin monitoring area by workers, and then the taken water samples are analyzed by water quality analysis equipment, so that the water quality condition of the monitoring area is judged, and part of the water samples are monitored one by adopting an intelligent detector and subjected to early warning treatment;
the existing one-by-one monitoring mode is low in monitoring efficiency, cannot comprehensively and uniformly monitor a plurality of drainage basins in real time and carry out grading, is inconvenient for carrying out targeted early warning according to water quality monitoring conditions, and is improved by integrating the above steps, so that the method for early warning of the ecological safety of the water environment of the drainage basins is provided for solving the problems.
Disclosure of Invention
Based on the technical problems in the background art, the invention provides a watershed water environment ecological safety early warning method.
The invention provides a watershed water environment ecological safety early warning method, which comprises the following steps:
s1: preparing a hardware facility: a computer, a water quality detector, a water flow velocity detector, a level gauge, a controller, an alarm and a remote sensing satellite which are internally provided with a data processing system;
s2: firstly, uniformly monitoring a drainage basin monitoring area in real time by using a remote sensing satellite, transmitting monitoring data to a computer by using the remote sensing satellite, and preprocessing the monitoring data by using a data processing system in the computer;
s3: the data processing system on the computer performs weight analysis on the real-time monitoring data preprocessed in the step S2 to obtain a weight value of the monitoring data, judges whether the weight value of the monitoring data meets a standard weight range value of a corresponding index, ignores the weight value if the weight value of the monitoring data meets the standard weight range value, and enters the step S4 if the weight value of the monitoring data does not meet the standard weight range value;
s4: the data processing system further analyzes the monitoring data which do not accord with the standard weight range value in S3 in detail, clearly screens out the basin monitoring area which does not accord with the standard, and specifically monitors the water quality, the water flow rate and the water storage quantity of the basin monitoring area which does not accord with the standard weight range value through a water quality detector, a water flow rate detector and a level gauge;
s5: the water quality detector is used for detecting the water quality of different functional partitions, analyzing the components and the content of various trace elements in the water quality, detecting whether harmful substances are contained or not, detecting whether the content proportion of various harmful substances exceeds the standard or not, and when the harmful substances exceed the standard, the water quality detector sends information and detected data to the controller;
s6: the controller in the S5 transmits information to the computer after receiving the data, a data processing system in the computer specifically analyzes the received data to judge the exceeding grade of the content of harmful substances in the drainage basin monitoring area, meanwhile, the computer transmits the analyzed data to the controller, the controller transmits the analyzed data to the alarm, and the alarm sends alarm signals with different colors according to the exceeding degree;
s7: measuring water flow and flow velocity of each functional partition in different seasons by using a water flow velocity detector, measuring the maximum water storage volume of each functional partition by using a level gauge, transmitting information to a controller, transmitting information data to a computer by using the controller, analyzing and preprocessing the obtained data by using a data processing system in the computer, calculating the maximum precipitation volume which can be borne by each functional partition by using the data processing system, and specifically analyzing precipitation volume data by using the computer to judge whether the precipitation volume is in the maximum precipitation volume range which can be borne by the current flow velocity;
s8: if the precipitation in the S6 does not exceed the maximum precipitation range, neglecting, if the precipitation exceeds the maximum precipitation range, dividing the exceeding grade through a data processing system, simultaneously transmitting the information to an alarm by a controller, and sending out water diversion alarms of different degrees by the alarm;
s9: according to the data analysis conditions in S6 and S8, high-level basin monitoring areas are listed into high-risk emergency areas, and meanwhile, early warning is given to monitoring management personnel to remind the personnel to process in time, so that potential safety hazards are reduced.
Preferably, in S6, the exceeding levels are classified into mild exceeding, moderate exceeding and severe exceeding, and the alarm is turned on to green when the mild exceeding, yellow when the moderate exceeding, and red when the severe exceeding and generates an audible alarm.
Preferably, in S2, a data collector is built in the remote sensing satellite, and the data collector and the satellite perform two-way communication in a remote sensing communication manner.
Preferably, in S8, the exceeding grades are classified into mild, moderate and severe, the mild time alarm is turned on by green light, the moderate time alarm is turned on by yellow light, the severe time alarm is turned on by red light, and an audible alarm is generated.
Preferably, in S1, the data processing system includes a data monitoring module, a data preprocessing module, and an index system management module.
Preferably, in S5, the water quality detector is a multi-parameter water quality tester.
Preferably, in S1, the alarm is an audible and visual alarm.
Compared with the prior art, the invention has the beneficial effects that:
according to the invention, the remote sensing satellite is convenient for uniformly monitoring a plurality of drainage basin monitoring areas, the areas which do not meet the standard can be separately screened out for specific monitoring and grading, the monitoring efficiency is improved, different degrees of targeted alarm can be conveniently carried out according to the conditions of the drainage basin monitoring areas, personnel can conveniently and visually judge the conditions of the drainage basin monitoring areas, and the use requirements are met.
Detailed Description
The present invention will be further illustrated with reference to the following specific examples.
Examples
The embodiment provides a watershed water environment ecological safety early warning method, which comprises the following steps:
s1: preparing a hardware facility: the water quality monitoring system comprises a computer, a water flow speed detector, a level gauge, a controller, an alarm and a remote sensing satellite, wherein the computer is internally provided with a data processing system, the data processing system comprises a data monitoring module, a data preprocessing module and an index system management module, and the alarm is an audible and visual alarm;
s2: firstly, carrying out real-time unified monitoring on a drainage basin monitoring area by using a remote sensing satellite, wherein a data collector is arranged in the remote sensing satellite, the data collector and the satellite carry out two-way communication in a remote sensing communication mode, the remote sensing satellite transmits monitoring data to a computer, and a data processing system in the computer carries out pretreatment on the monitoring data;
s3: the data processing system on the computer performs weight analysis on the real-time monitoring data preprocessed in the step S2 to obtain a weight value of the monitoring data, judges whether the weight value of the monitoring data meets a standard weight range value of a corresponding index, ignores the weight value if the weight value of the monitoring data meets the standard weight range value, and enters the step S4 if the weight value of the monitoring data does not meet the standard weight range value;
s4: the data processing system further analyzes the monitoring data which do not accord with the standard weight range value in S3 in detail, clearly screens out the basin monitoring area which does not accord with the standard, and specifically monitors the water quality, the water flow rate and the water storage quantity of the basin monitoring area which does not accord with the standard weight range value through a water quality detector, a water flow rate detector and a level gauge;
s5: the method comprises the following steps of detecting water quality of different functional partitions by using a water quality detector, analyzing components and contents of various trace elements in the water quality, detecting whether harmful substances are contained or not, detecting whether the content proportion of the various harmful substances exceeds a standard or not, and sending information and detected data to a controller by using the water quality detector when the harmful substances exceed the standard, wherein the water quality detector is a multi-parameter water quality tester;
s6: the controller in the S5 transmits information to a computer after receiving the data, a data processing system in the computer specifically analyzes the received data, the overproof level of the content of harmful substances in the drainage basin monitoring area is judged, the overproof level is divided into a mild overproof level, a moderate overproof level and a severe overproof level, meanwhile, the computer transmits the analyzed data to the controller, the controller transmits alarm signals with different colors according to the analyzed data, the alarm sends out alarm signals with different colors according to the overproof level, the alarm lights up a green light when the mild overproof level is exceeded, the alarm lights up a yellow light when the moderate overproof level is exceeded, and the alarm lights up a red light when the severe overproof level is exceeded, and sound alarm is sent out;
s7: measuring water flow and flow velocity of each functional partition in different seasons by using a water flow velocity detector, measuring the maximum water storage volume of each functional partition by using a level gauge, transmitting information to a controller, transmitting information data to a computer by using the controller, analyzing and preprocessing the obtained data by using a data processing system in the computer, calculating the maximum precipitation volume which can be borne by each functional partition by using the data processing system, and specifically analyzing precipitation volume data by using the computer to judge whether the precipitation volume is in the maximum precipitation volume range which can be borne by the current flow velocity;
s8: if the precipitation in the S6 does not exceed the maximum precipitation range, neglecting, if the precipitation exceeds the maximum precipitation range, dividing the exceeding grades into mild, moderate and severe grades through a data processing system, simultaneously transmitting the information to an alarm by a controller, sending out water diversion alarms with different degrees by the alarm, lighting a green light by a mild time alarm, lighting a yellow light by a moderate time alarm, lighting a red light by a severe time alarm and giving out sound alarm;
s9: according to the data analysis conditions in S6 and S8, high-level basin monitoring areas are listed into high-risk emergency areas, and meanwhile, early warning is given to monitoring management personnel to remind the personnel to process in time, so that potential safety hazards are reduced.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.

Claims (7)

1. A watershed water environment ecological safety early warning method is characterized by comprising the following steps:
s1: preparing a hardware facility: a computer, a water quality detector, a water flow velocity detector, a level gauge, a controller, an alarm and a remote sensing satellite which are internally provided with a data processing system;
s2: firstly, uniformly monitoring a drainage basin monitoring area in real time by using a remote sensing satellite, transmitting monitoring data to a computer by using the remote sensing satellite, and preprocessing the monitoring data by using a data processing system in the computer;
s3: the data processing system on the computer performs weight analysis on the real-time monitoring data preprocessed in the step S2 to obtain a weight value of the monitoring data, judges whether the weight value of the monitoring data meets a standard weight range value of a corresponding index, ignores the weight value if the weight value of the monitoring data meets the standard weight range value, and enters the step S4 if the weight value of the monitoring data does not meet the standard weight range value;
s4: the data processing system further analyzes the monitoring data which do not accord with the standard weight range value in S3 in detail, clearly screens out the basin monitoring area which does not accord with the standard, and specifically monitors the water quality, the water flow rate and the water storage quantity of the basin monitoring area which does not accord with the standard weight range value through a water quality detector, a water flow rate detector and a level gauge;
s5: the water quality detector is used for detecting the water quality of different functional partitions, analyzing the components and the content of various trace elements in the water quality, detecting whether harmful substances are contained or not, detecting whether the content proportion of various harmful substances exceeds the standard or not, and when the harmful substances exceed the standard, the water quality detector sends information and detected data to the controller;
s6: the controller in the S5 transmits information to the computer after receiving the data, a data processing system in the computer specifically analyzes the received data to judge the exceeding grade of the content of harmful substances in the drainage basin monitoring area, meanwhile, the computer transmits the analyzed data to the controller, the controller transmits the analyzed data to the alarm, and the alarm sends alarm signals with different colors according to the exceeding degree;
s7: measuring water flow and flow velocity of each functional partition in different seasons by using a water flow velocity detector, measuring the maximum water storage volume of each functional partition by using a level gauge, transmitting information to a controller, transmitting information data to a computer by using the controller, analyzing and preprocessing the obtained data by using a data processing system in the computer, calculating the maximum precipitation volume which can be borne by each functional partition by using the data processing system, and specifically analyzing precipitation volume data by using the computer to judge whether the precipitation volume is in the maximum precipitation volume range which can be borne by the current flow velocity;
s8: if the precipitation in the S6 does not exceed the maximum precipitation range, neglecting, if the precipitation exceeds the maximum precipitation range, dividing the exceeding grade through a data processing system, simultaneously transmitting the information to an alarm by a controller, and sending out water diversion alarms of different degrees by the alarm;
s9: according to the data analysis conditions in S6 and S8, high-level basin monitoring areas are listed into high-risk emergency areas, and meanwhile, early warning is given to monitoring management personnel to remind the personnel to process in time, so that potential safety hazards are reduced.
2. The watershed water environment ecological safety early warning method according to claim 1, wherein in S6, the exceeding grades are divided into mild exceeding, moderate exceeding and severe exceeding, the alarm is turned on green when the mild exceeding is detected, the alarm is turned on yellow when the moderate exceeding is detected, the alarm is turned on red when the severe exceeding is detected, and sound alarm is generated.
3. The watershed water environment ecological safety early warning method according to claim 1, wherein in S2, a data collector is arranged in a remote sensing satellite, and the data collector and the satellite are in two-way communication in a remote sensing communication mode.
4. The watershed water environment ecological safety early warning method according to claim 1, wherein in the step S8, the exceeding grades are divided into mild, moderate and severe, and the mild time alarm is turned on by green light, the moderate time alarm is turned on by yellow light, the severe time alarm is turned on by red light, and an audible alarm is generated.
5. The watershed water environment ecological safety early warning method according to claim 1, wherein in the S1, the data processing system comprises a data monitoring module, a data preprocessing module and an index system management module.
6. The watershed water environment ecological safety early warning method according to claim 1, wherein in S5, the water quality detector is a multi-parameter water quality tester.
7. The watershed water environment ecological safety early warning method according to claim 1, wherein in the step S1, the alarm is an audible and visual alarm.
CN202110559365.8A 2021-05-21 2021-05-21 Watershed water environment ecological safety early warning method Pending CN113280858A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115164997A (en) * 2022-08-19 2022-10-11 郑源昊 Environment tracking system based on remote sensing satellite

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104361418A (en) * 2014-12-05 2015-02-18 北京师范大学 Watershed water ecological security monitoring pre-warning platform and watershed water ecological security monitoring pre-warning method
CN105868533A (en) * 2016-03-23 2016-08-17 四川理工学院 River basin water environment integrated perception and application method based on Internet of Things and 3S technology
CN108364129A (en) * 2018-02-08 2018-08-03 广州地理研究所 A kind of region ecology safety early alarming and forecasting method based on remote sensing big data
CN109444336A (en) * 2018-10-29 2019-03-08 泰华智慧产业集团股份有限公司 Environment real time monitoring early warning and method for tracking and managing and system
CN111505232A (en) * 2020-05-18 2020-08-07 云南农业大学 Intelligent water quality detection system and method
CN112344998A (en) * 2020-11-20 2021-02-09 生态环境部南京环境科学研究所 Watershed water environment function partition water environment ecological safety early warning method

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104361418A (en) * 2014-12-05 2015-02-18 北京师范大学 Watershed water ecological security monitoring pre-warning platform and watershed water ecological security monitoring pre-warning method
CN105868533A (en) * 2016-03-23 2016-08-17 四川理工学院 River basin water environment integrated perception and application method based on Internet of Things and 3S technology
CN108364129A (en) * 2018-02-08 2018-08-03 广州地理研究所 A kind of region ecology safety early alarming and forecasting method based on remote sensing big data
CN109444336A (en) * 2018-10-29 2019-03-08 泰华智慧产业集团股份有限公司 Environment real time monitoring early warning and method for tracking and managing and system
CN111505232A (en) * 2020-05-18 2020-08-07 云南农业大学 Intelligent water quality detection system and method
CN112344998A (en) * 2020-11-20 2021-02-09 生态环境部南京环境科学研究所 Watershed water environment function partition water environment ecological safety early warning method

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115164997A (en) * 2022-08-19 2022-10-11 郑源昊 Environment tracking system based on remote sensing satellite

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