CN105374184A - Water resource monitoring method based on water resource monitoring platform - Google Patents
Water resource monitoring method based on water resource monitoring platform Download PDFInfo
- Publication number
- CN105374184A CN105374184A CN201510616792.XA CN201510616792A CN105374184A CN 105374184 A CN105374184 A CN 105374184A CN 201510616792 A CN201510616792 A CN 201510616792A CN 105374184 A CN105374184 A CN 105374184A
- Authority
- CN
- China
- Prior art keywords
- data
- monitoring
- station
- water resource
- central station
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Landscapes
- Automatic Analysis And Handling Materials Therefor (AREA)
Abstract
The invention relates to the field of environment monitoring, in particular to a water resource monitoring method based on a water resource monitoring platform. According to the water resource monitoring method, a central station and field stations are included, the central station is in transmission with all the field stations through a wireless network, each field station comprises a monitoring instrument and a data collection processor, the central station is provided with an FTP server, and each data collection processor comprises a main control panel, a database and a communication device. According to the system, a traditional artificial sampling method is no longer adopted, and water samples are monitored through monitoring points in a monitoring water area instead. Compared with a past artificial chemical reagent analysis method, the method is faster, guarantees timeliness of sampling, accuracy and rapidity of analysis, quickness of transmission, real-time monitoring of water quality, transmission of result data and sharing of information resources, and meets decision-making demands of the environmental protection administration.
Description
Technical field
The present invention relates to environmental monitoring field, be specially a kind of water resource monitoring method based on water resource monitor supervision platform.
Background technology
Due to water pollution seriously and threat is generated to the life of the mankind, so have to take various method to carry out aquatic monitoring.Current checkout equipment depends on the main equipment in laboratory, and these equipment volume are huge, and detection time is long, can consume a large amount of chemical reagent during analysis, expensive.Certainly along with the development of technology, slowly start the checkout equipment occurring that some are small-sized, the method mainly according to optics and flow detection detects, and most typical is exactly that sensor probe and GPRS probe detect.
The Environmental Supervision of China adopts artificial collection always, utilizes the method for chemical reagent, analyzes the Working Means such as data, manual tabulation tabulation, because sampling time interval is long, data analysis gathers slowly, transmit not in time, be difficult to correctly to carry out entirety in time to the water quality of locality grasp, therefore water quality on-line analysis, monitoring technique are arisen at the historic moment.
Due to the stand-alone development construction of each department, each province, do not form unified environmental protection software development codes and standards in China, the selection of development platform and database is also varied, and not strong to the acquisition capacity of environmental protection information, information is closed, and database size is little, resource sharing cannot be realized, cause information resources very limited, the decision requirements of environmental administration can not be met, thus also have larger gap compared with the management expectancy of whole environmental administration.
Set up the complete information management system integrating Thunght of modern management and advanced computer database technology, realize the omnibearing management of environmental monitoring information and sharing of information resources, increase work efficiency, to meet the requirement of current environmental monitoring signalling, network Construction and environmental management.This is also the development trend of environmental monitoring system.
Summary of the invention
The invention provides a kind of water resource monitoring method based on water resource monitor supervision platform, according to the realization of existing water quality detection system hardware foundation, the water quality detection control software design built, carry out and automatic monitoring, control and management are carried out to the monitoring system at scene, thus can collect Monitoring Data, statistical study, obtain the valuable statistics of tool and predicted data, in time, directly for environmental management and decision provides technical support, and then realize scientific, the standardization of water quality detection, standardization and networking.
For solving the problems of the technologies described above, the technical solution used in the present invention is: based on the water resource monitoring method of water resource monitor supervision platform, comprise central station, on-the-spot station, stand wireless network transmissions in described central station and each scene, described on-the-spot station comprises monitoring instrument and data collection processor, and described central station is provided with ftp server, and described data collection processor comprises master control board, database, communication apparatus, comprise the steps
Socket programming realization data are utilized to transmit with ftp server after the communication apparatus access internet of A, data collection processor;
B, system carry out initialization, comprise the connection of database, the initialization of each PORT COM, the presetting of each alarm parameters, the initialization of other global variables;
The master control board of C, data collection processor carries out data acquisition to the real time data that monitoring instrument monitors, and obtains the real time data of water quality parameter, instrument state information;
The master control board of D, data collection processor processes the data message collected, and comprises and carries out alarm decision to water quality parameter data, analyze instrument state, produces alert data and log information and stored in database;
E, from real time data, compress hour data, five minute datas, and stored in database;
F, station, each scene, to the Monitoring Data on the central station transmission same day, can be the fixed times of every day, also can arrange and repeatedly upload, if connect unsuccessful for several times, automatically can again send unsuccessful data in the next transmission cycle;
G, ftp server can connect station, each scene by network, and issue inquiry according to the form of regulation, the content of inquiry can be historical data, also can be real time data, after on-the-spot station system receives orders, will different responses be made, according to order, upload dissimilar data;
Beneficial effect of the present invention is:
By the contrast to monitoring method in the past, native system no longer adopts traditional manual sampling methods, but by monitoring point implementing monitoring water sample in monitoring waters.Than artificial chemistry reagent analysis method in the past, more fast, ensure that sampling in time, analyze the rapid of accurate quick and transmission, ensure that the transmission to the real-time monitoring of water quality and result data.Compared with the chemical analysis of classics, laboratory chow analysis, it is fast that on-line analysis has speed, simple to operate, automaticity is high, saves reagent and manpower, and can carry out the advantages such as continuous real-time monitoring, make staff can obtain local variation of water in time, and have employed Computer Database and store monitoring result, ensure that information resources share, meet the decision requirements of environmental administration.
Embodiment
A kind of water resource monitoring method based on water resource monitor supervision platform, comprise central station, on-the-spot station, stand wireless network transmissions in central station and each scene, on-the-spot station comprises monitoring instrument and data collection processor, central station is provided with ftp server, described data collection processor comprises master control board, database, communication apparatus, comprises the steps
Socket programming realization data are utilized to transmit with ftp server after the communication apparatus access internet of A, data collection processor;
B, system carry out initialization, comprise the connection of database, the initialization of each PORT COM, the presetting of each alarm parameters, the initialization of other global variables;
The master control board of C, data collection processor carries out data acquisition to the real time data that monitoring instrument monitors, and obtains the real time data of water quality parameter, instrument state information;
The master control board of D, data collection processor processes the data message collected, and comprises and carries out alarm decision to water quality parameter data, analyze instrument state, produces alert data and log information and stored in database;
E, from real time data, compress hour data, five minute datas, and stored in database;
F, station, each scene, to the Monitoring Data on the central station transmission same day, can be the fixed times of every day, also can arrange and repeatedly upload, if connect unsuccessful for several times, automatically can again send unsuccessful data in the next transmission cycle;
G, ftp server can connect station, each scene by network, and issue inquiry according to the form of regulation, the content of inquiry can be historical data, also can be real time data, after on-the-spot station system receives orders, will different responses be made, according to order, upload dissimilar data
In order to improve ease for use, the level at the interface at central station and station, each scene is no more than three layers as far as possible.For the ease of user use we should according to different functions by Interface classification layering.But the level at interface can not be excessively dark, the switching at interface can not be too flexible.Otherwise user may be absorbed in the labyrinth at interface.Interface is probably divided into three layers, and except key frame, conventional interface is divided into two-layer.The ease for use of software has been looked after in such design, also good by software function classification, and the division of interface content should take into account the operating right of systemic-function and user.In the use user of monitoring software, we devise senior, rudimentary two kinds of operating rights.We are received within same operation authority in same interface as far as possible, are convenient to user management like this.Operating function as far as possible " fool ".In Software Function Design, reduce the requirement to operating personnel as far as possible.Error detection function is increased to the content of fallibility; Complex operations is simplified as far as possible.Central station is consistent with on-the-spot software interface of standing.In order to reduce the learning cost of operating personnel, the software interface that distant station is consistent with on-the-spot station.The pattern that employing event triggers on human-computer interaction interface writes software, presses specific keys and triggers corresponding program.The hierarchical structure of the foreground function of software, software is divided into display, inquiry, control, parameter and scene photo six major parts according to function.
1, the main function realized of display has: the real-time display of water quality testing data: the variation tendency of Monitoring Data; The state display of system instrument, pump valve.
2, the function that data query mainly realizes has: hour data inquiry, day data inquiry, alert data inquiry, log query, instrument parameter, running parameter and alarm parameters inquiry.
3, control the main function realized to have: the recoil of pump valve, pipeline-cleaning, senior control (switch control rule of single pump valve)
4, data arrange the main function realized has: running parameter is arranged, alarm parameters is arranged, instrument parameter is arranged.
5, form realizes the report generation of different time range section, preservation and printing.
Central station does not need to carry out communication with instrument, and what obtain is the various information handled well of on-the-spot station and data, therefore saves on-the-spot back-end data communication of standing and handling procedure.
Total " file " drop-down menu on station owner interface, click center selects " sample message management ", enters the sub-interface of site information.Can check and revise the information of each website under interface.The right button can carry out selection and switch between different website.Input various desired parameters, the information of the water quality detection parameter of this website can be inquired about.Equally also can print the sample message checked out.
Here can express the various data results in sample message managing queries, comprising water temperature, pH value, turbidity and various ion concentrations etc., the form that its information can cross curve map shows.
The Method and Technology of software test is diversified.From test whether for the inner structure of system and the angle of specific implementation algorithm, white-box testing and Black-box Testing can be divided into.
Black-box Testing also claims functional test or data-driven test, it is the function that should have in known product, detect each function by test whether can normally use, when testing, program is regarded as a black basin that can not open, when giving no thought to program inner structure and bulk properties, tester tests at routine interface, whether its scrutiny program function normally uses according to the regulation of Specification, whether program suitably can receive input data and produce correct output information, and keep the integrality of external information (as database or file).Black-box Testing method mainly contains equivalence class partition, Analysis of Boundary Condition, cause-and-effect diagram, mistake supposition etc., is mainly used in software validation testing.Black box method is conceived to program external structure, does not consider internal logic structure, tests for software interface and software function.Black box method is exhaustive input test, only has and all possible input is all used as test case, could in this way find mistakes all in program.In fact test case has infinite multiple, and people not only will test all legal inputs, but but also will test those illegal possible inputs.
White-box testing also claims structured testing or Logic-driven test, it knows the interiors of products course of work, carry out testing product internal actions by test whether normally to carry out according to the regulation of description, according to the construction test procedure of program inside, whether the every bar path in check program has and correctly can work by pre-provisioning request, and ignore its function, the main method of white-box testing has logical drive, the examination of base drive test etc., is mainly used in software verification." white box " method fullys understand program internal logic structure, tests all logical paths." white box " is exhaustive path testing.When using this scheme, the inner structure of the necessary scrutiny program of tester, sets about from the logic of scrutiny program, draws test data.The independent pathway number running through program is astronomical figure.Even if but every paths all tests still possible wrong.The first, exhaustive path testing must not be found program and violate design specifications, and namely program itself is a program for mistake.The second, exhaustive path testing can not be found in program and make mistakes because omitting path.3rd, exhaustive path testing may can't find some mistakes associated with the data.
For the feature of visualstudioc# software semi-custom, we add the method for integration test to testing at selection unit test.Main employing white-box testing technology in unit testing, integration test mainly adopts Black-box Testing.
Above embodiments of the invention have been described in detail, but described content being only preferred embodiment of the present invention, can not being considered to for limiting practical range of the present invention.All equalizations done according to the scope of the invention change and improve, and all should still belong within this patent covering scope.
Claims (1)
1. based on the water resource monitoring method of water resource monitor supervision platform, comprise central station, on-the-spot station, stand wireless network transmissions in described central station and each scene, described on-the-spot station comprises monitoring instrument and data collection processor, described central station is provided with ftp server, described data collection processor comprises master control board, database, communication apparatus, it is characterized in that, comprises the steps:
Socket programming realization data are utilized to transmit with ftp server after the communication apparatus access internet of A, data collection processor;
B, system carry out initialization, comprise the connection of database, the initialization of each PORT COM, the presetting of each alarm parameters, the initialization of other global variables;
The master control board of C, data collection processor carries out data acquisition to the real time data that monitoring instrument monitors, and obtains the real time data of water quality parameter, instrument state information;
The master control board of D, data collection processor processes the data message collected, and comprises and carries out alarm decision to water quality parameter data, analyze instrument state, produces alert data and log information and stored in database.
E, from real time data, compress hour data, five minute datas, and stored in database;
F, station, each scene, to the Monitoring Data on the central station transmission same day, can be the fixed times of every day, also can arrange and repeatedly upload.If connect unsuccessful for several times, automatically can again send unsuccessful data in the next transmission cycle;
G, ftp server can connect station, each scene by network, and issue inquiry according to the form of regulation, the content of inquiry can be historical data, also can be real time data, after on-the-spot station system receives orders, will different responses be made, according to order, upload dissimilar data.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201510616792.XA CN105374184A (en) | 2015-09-24 | 2015-09-24 | Water resource monitoring method based on water resource monitoring platform |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201510616792.XA CN105374184A (en) | 2015-09-24 | 2015-09-24 | Water resource monitoring method based on water resource monitoring platform |
Publications (1)
Publication Number | Publication Date |
---|---|
CN105374184A true CN105374184A (en) | 2016-03-02 |
Family
ID=55376336
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201510616792.XA Pending CN105374184A (en) | 2015-09-24 | 2015-09-24 | Water resource monitoring method based on water resource monitoring platform |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN105374184A (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109540174A (en) * | 2018-11-19 | 2019-03-29 | 上海海洋大学 | Based on the multi-site of sea test range with the comparison method of model marine instrument and equipment |
Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2001325682A (en) * | 2000-05-17 | 2001-11-22 | Shimizu Corp | Environment monitoring system |
CN101266254A (en) * | 2008-05-09 | 2008-09-17 | 邯郸市隆达利科技发展有限公司 | Water quality automatic on-line monitoring system |
CN201527569U (en) * | 2009-10-21 | 2010-07-14 | 湖北海文电子科技有限公司 | Remote data collection monitoring device |
CN101865716A (en) * | 2010-06-10 | 2010-10-20 | 上海三高计算机中心股份有限公司 | Urban drainage pipe network water level information monitoring system |
US20100332149A1 (en) * | 1998-12-17 | 2010-12-30 | Hach Company | Method and system for remote monitoring of fluid quality and treatment |
CN102457543A (en) * | 2010-10-26 | 2012-05-16 | 张志强 | Wireless hydrology monitoring system based on ZigBee and GPRS (General Packet Radio Service) |
CN103108412A (en) * | 2012-12-18 | 2013-05-15 | 华南农业大学 | Remote monitoring system on parameters of aquafarm water quality and control method |
CN104714533A (en) * | 2015-03-20 | 2015-06-17 | 天津农学院 | Remote monitoring system and method for operation state of sewage treatment station |
-
2015
- 2015-09-24 CN CN201510616792.XA patent/CN105374184A/en active Pending
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20100332149A1 (en) * | 1998-12-17 | 2010-12-30 | Hach Company | Method and system for remote monitoring of fluid quality and treatment |
JP2001325682A (en) * | 2000-05-17 | 2001-11-22 | Shimizu Corp | Environment monitoring system |
CN101266254A (en) * | 2008-05-09 | 2008-09-17 | 邯郸市隆达利科技发展有限公司 | Water quality automatic on-line monitoring system |
CN201527569U (en) * | 2009-10-21 | 2010-07-14 | 湖北海文电子科技有限公司 | Remote data collection monitoring device |
CN101865716A (en) * | 2010-06-10 | 2010-10-20 | 上海三高计算机中心股份有限公司 | Urban drainage pipe network water level information monitoring system |
CN102457543A (en) * | 2010-10-26 | 2012-05-16 | 张志强 | Wireless hydrology monitoring system based on ZigBee and GPRS (General Packet Radio Service) |
CN103108412A (en) * | 2012-12-18 | 2013-05-15 | 华南农业大学 | Remote monitoring system on parameters of aquafarm water quality and control method |
CN104714533A (en) * | 2015-03-20 | 2015-06-17 | 天津农学院 | Remote monitoring system and method for operation state of sewage treatment station |
Non-Patent Citations (1)
Title |
---|
曹祁: "地表水水质监测系统的监控软件设计", 《中国优秀硕士学位论文全文数据库信息科技辑》 * |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109540174A (en) * | 2018-11-19 | 2019-03-29 | 上海海洋大学 | Based on the multi-site of sea test range with the comparison method of model marine instrument and equipment |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN102282552B (en) | Based Intelligent Control based on pattern, monitoring and the system of automatization, method and computer program | |
CN101989087B (en) | On-line real-time failure monitoring and diagnosing system device for industrial processing of residual oil | |
CN103439114B (en) | A kind of Steam Turbine thermal performance test system and device | |
CN108732316A (en) | A kind of stench intelligent monitor system based on cloud computing platform | |
CN204855487U (en) | Long -range networking management system of detecting instrument and data based on GIS | |
CN113537772A (en) | Wisdom energy management and control platform based on industry internet | |
CN117314094A (en) | Energy management and control method and system based on AI intelligent park | |
Zhang et al. | Design and analysis of a water quality monitoring data service platform | |
CN109587153A (en) | General ecological safety monitoring data acquisition method and device based on data flow customization | |
CN116955434A (en) | Full life cycle management and multidimensional energy efficiency analysis system for industrial equipment | |
CN113313280A (en) | Cloud platform inspection method, electronic equipment and nonvolatile storage medium | |
Hao et al. | Design of BeiDou satellite system in ocean logistics real-time tracking system | |
CN105374184A (en) | Water resource monitoring method based on water resource monitoring platform | |
Zhang et al. | Research on condition monitoring and fault diagnosis of intelligent copper ball production lines based on big data | |
CN105354754A (en) | SYTT water resource penetration monitoring system | |
CN114638290B (en) | Environment monitoring instrument fault prediction method based on edge calculation and BP neural network | |
CN115438093A (en) | Power communication equipment fault judgment method and detection system | |
CN202433761U (en) | Remote monitoring, warning and fault diagnosis system of anode protecting device based on Internet of things | |
CN204231030U (en) | A kind of transmission fault detector and automation system for the power network dispatching | |
CN115290860A (en) | Portable engineering machinery oil monitoring system and method based on intelligent mobile terminal | |
RU2669686C1 (en) | Method and system for assisting in verification and validation of algorithm chain | |
Liu et al. | [Retracted] Design and Implementation of Large‐Scale Public Building Energy Consumption Monitoring Platform Based on BP Neural Network | |
Huu et al. | Development of warning and predicting system for quality of air in smart cities using RNN | |
Gultekin et al. | Predictive Analytics in IoT and CPS: Enhancing Industrial Machinery Reliability through Sensor Data-Driven Remaining Useful Life Estimation | |
Schubert | Context-aware data validation for machine learning pipelines |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20160302 |
|
WD01 | Invention patent application deemed withdrawn after publication |