CN102117383A - Method for diagnosing river pollution in real time - Google Patents
Method for diagnosing river pollution in real time Download PDFInfo
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- CN102117383A CN102117383A CN2011100465753A CN201110046575A CN102117383A CN 102117383 A CN102117383 A CN 102117383A CN 2011100465753 A CN2011100465753 A CN 2011100465753A CN 201110046575 A CN201110046575 A CN 201110046575A CN 102117383 A CN102117383 A CN 102117383A
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Abstract
The invention relates to a river supervision method, in particular to a method for diagnosing river pollution in real time. A river pollution diagnosis platform, a pollution degree evaluation module, a pollution reason diagnosis module, a pollution discharge scheme optimization module, a computational model management module and a database management module are adopted in the method. The method is characterized by executing the following steps when a pollution diagnosis project is completed: a, starting the river pollution diagnosis platform; b, setting basic parameters; c, performing river pollution degree evaluation; d, performing river pollution reason diagnosis; e, performing pollution discharge scheme optimization of a pollution enterprise; and f, outputting results. Equipment for implementing the method comprises a remote terminal consisting of a flow meter, a global positioning system (GPS) chip, a solubility detector and a singlechip. By means of method, real-time diagnosis of river pollution degree and pollution reasons is realized, an optimized pollution discharge scheme of the pollution enterprises along the river can be generated after a water quality improvement target or a pollution degree lowering target is input, real-time river pollution condition supervision of an environmental protection department is facilitated, river pollution governance is implemented according to the cases, and emission reduction planning is scientifically performed.
Description
Technical field
The present invention relates to a kind of river monitoring and managing method, relate in particular to a kind of method of stream pollution real-time diagnosis.Belong to the river management domain in the environmental protection department.
Background technology
Because socio-economic development and regional environment capacity is incompatible, a lot of rivers all have been subjected to pollution in various degree.In short supply in the face of the river water environmental that worsens day by day and water resource strengthened the river management and polluted control, improves water quality of river, realizes that sustainable utilization of water resources is very urgent.And take effective pollution control measure, be to be based upon on the basis of abundant understanding river physical attribute, environmental capacity, water quality condition and pollution cause.Therefore, the prerequisite of stream pollution improvement is the river to be implemented the comprehensive diagnostic of pollution level.The diagnosis of stream pollution degree is the characteristics from river system self, analyze its inherent physical attribute and dynamic environment capacity, the water quality condition and the pollution level in science diagnosis river, find out the main cause that causes that water quality of river pollutes, and provide concrete proposals and the scheme that control is polluted, thereby provide necessary scientific basis for drafting and making a strategic decision of follow-up control measures.The stream pollution diagnosis of science needs to consider all multifactor, the diffusion area and the distribution situation that spatially relate to pollutant, the hold-up time and the decline cycle that relate to pollutant in time, the peak concentration and pollution total amount that on value, relate to pollutant, need consider the hydrology, meteorology [Liu Qingmin in addition, Xu Tao etc. brief talk meteorologic factor and stream pollution [J]. modern agriculture science and technology, 2007,10:200-202.], the influence of factor such as river morphology.For these numerous factors of influence and the mass data that relates to thereof, traditional method is difficult to make overall plans, and must could make immediately the pollution level in river by advanced technologies such as GIS, GPS, data base administration, artificial neural network and remote data access, effective diagnosis.
At present, to the most Present assessment modes [200510024123.X] that adopt of the judgement of stream pollution situation, [kingdom's profit, Cao Yongqiang. based on the Fuzzy Pattern Recognition Model of improving the AHP legitimate power and at Application in Assessment of Water Quality [J]. engineering investigation, 2002,06:18-23.], [Wang Youbao, Liu Dengyi. grey weighted method and at Application in Assessment of Water Quality [J] Anhui Normal University journal: natural science edition, 2002,12,25 (4): 375-378.], [take off the friend, Deng Yun, Wang Xu. multistage Fuzzy Pattern Recognition Method is used for evaluation of river water quality [J]. the Sichuan environment, 2007,02,26 (1): 59-62.].And the water quality model of rising in recent years, research [the Zhou Jiankang of aspect such as water quality forecast and water quality early-warning, Xiong Yanan, Zhu Chunlong. based on BP network under the MATLAB in stream pollution substrate concentration Application for Prediction [J]. the water conservancy and hydropower technology, 2004,35 (9): 24-26.], [Li Ruzhong, Wang Chao, Deng. based on the water quality of river simulation and forecast research [J] of unknown message. hydroscience progress: 2004,15 (1): 35-39.], [Tan Qinwen, Yin Guangzhi, Li Dongwei. the river water based on GIS pollutes nonlinear prediction systematic study [J]. Chongqing Univ. of Architecture's journal: 2006,29 (5): 115-118.], [Wu Guanghong, Li Wanqing, Deng. south water to north work centerline water quality early-warning method research [J]. water resource and water conservancy project journey journal, 2005,16 (3): 29-32.], though its achievement also can reflect the pollution situation in river to a certain extent indirectly, but still there are a lot of defectives.
There are following shortcoming in existing judgement stream pollution degree methods and technology:
(1) real-time is poor.The simulation majority of the evaluation result of stream pollution degree or water quality of river is based on historical water monitoring data, therefore, resulting result also can only represent the stream pollution situation in corresponding period, even some water quality prediction model can provide so-called real-time result, but when running into the burst contamination accident, the often distortion of real-time estimate result that it provides.
(2) evaluation result is unilateral.The evaluation result of stream pollution degree lays particular emphasis on Present assessment usually, lacks the analysis of pollution cause.
(3) monitoring is with high costs.Existing stream pollution evaluation method and water quality model depend on water monitoring data, and the instrument costliness of water quality test, and for obtaining estimating comparatively accurately or analog result, need to arrange the monitoring point of comparatively dense, for in time feeding back the water quality of river situation, need to improve monitoring frequency, these all will expend great amount of manpower and material resources and financial resources.
In addition, China has the Eleventh Five-Year Plan period just proposed the target of energy-saving and emission-reduction certainly, with the discharging of energy savings, minimizing pollutant, but only the reduction of discharging total amount of pollutant is made requirement, there is no real-time reduction of discharging and quantizes suggestion or scheme.Sewage discharges riverine, contaminating enterprises along the river are often according to the production capacity demand, rather than the dynamic environment capacity in river, especially in the dry season, the fluvial-environment capacity greatly reduces, if the sewage discharge of contaminating enterprises goes up not down, just cause the interim eutrophication in river easily.For solving this contradiction, just need be according to the sewage discharge of contaminating enterprises along the river of making rational planning for of the dynamic environment capacity in river.
Summary of the invention
At above-mentioned deficiency, the invention provides a kind of stream pollution of real-time diagnosis easily degree methods, comprise stream pollution diagnostic platform, pollution level evaluation module, pollution cause diagnostic module, blowdown scheme optimization module, computation model administration module and database management module, as shown in Figure 1.Particularly, each module contents is as follows:
(1) the stream pollution diagnostic platform is divided into client layer and two parts of core layer: client layer provides operation interface easily for the user; Core layer is the overall process module, is used to call other modules of stream pollution diagnostic platform, realizes the collaborative work of each module.
Client layer is mainly the user setting of basic parameter and the functions such as output of diagnostic result is provided, and particularly, the river basic parameter of setting comprises: stream pattern and section major function zoning; At user option stream pattern has: mountain stream, river, hills, plain tract; At user option section function zoning has: potable water source region, industrial pool, agricultural water district, fishery water district, consumable water of sight and amusement district, control blowdown district and other Water Districts; The diagnostic result type that the user can select to export has: stream pollution degree thematic map, stream pollution reason thematic map, diagnostic result tables of data, the blowdown scheme of optimizing.
Core layer (overall process module) comprises Data access module and two secondary submodules of backstage scheduler module, acceptance is from the basic parameter input of client layer, the remote data base of request visit remote terminal and meteorological department, and real time data read in local data base, then carry out database on the backstage, model bank, calling mutually and coordinated scheduling of index storehouse, calculate the stream pollution intensity grade by analysis, diagnostic results such as main pollution cause, and pollute target according to the reduction of user input, decision-making is calculated to generate and is optimized the blowdown scheme, and the result that will diagnose is with the GIS thematic maps at last, data form, the visual client layer that is output in of modes such as text.
Described Data access module is used for sending request to the gateway of remote terminal and meteorological department, accepts and check data bag integrality, and teledata is sent to the local data library storage.
Described backstage scheduler module is used for sending instruction sequence to pollution level evaluation module, pollution cause diagnostic module, blowdown scheme optimization module etc., and sends call request to database, model bank and index storehouse successively according to instruction queuing order.
Described remote terminal is meant the remote terminal of being made up of flowmeter, GPS, solubility detector and single-chip microcomputer that is connected on the river alongshore contaminating enterprises blow-off pipe, and this remote terminal is faked cheap, easy for installation.
Described real time data is meant real-time pollution source data and weather data.The pollution source data comprise: the real-time blowdown flow of contaminating enterprises, sewer geographic position, go into each pollutant levels of river sewage; Weather data comprises: rainfall amount real time data, rainfall amount 24h forecast data and river level data.
Further, be connected, be connected by static IP or VPN (virtual private network) VPN mode between the database of stream pollution diagnostic platform and meteorological department by WLAN or 3G fast wireless network mode between described remote terminal and the stream pollution diagnostic platform.
(2) pollution level evaluation module is used for the pollution condition of the overall class of pollution in analysis and assessment river and each section.Particularly, after this module is activated, according to the instruction sequence of backstage scheduler module, weather data in the reading database and river characteristic data, transfer environment calculation of capacity model calculates the dynamic environment capacity of each section; Pollution source data in the reading database are called water quality model again, calculate the real-time pollutant levels of each section; According to the weight of dynamic environment capacity and each contamination index, carry out the calculating of the long pollution index of each section pollution index and full river by degree of order entropy computation model again; According to the class of pollution criteria for classifying, determine the class of pollution in river, and the pollution level assessment result is sent to database management module stores.
(3) pollution cause diagnostic module is used for the principal element that computational analysis causes stream pollution.After finishing the pollution level assessment, this module is activated, according to the instruction sequence of backstage scheduler module, instant with historical pollution source data, weather data, stream pollution degree assessment data in the reading database called the principal element that the pollution cause analysis of calculation models causes stream pollution.Particularly its method is: according to the assessment result of stream pollution degree evaluation module, utilize partial least square method, with the pollution level in river as dependent variable y, with its n factor of influence x
1, x
2..., x
nForm independent variable set X, collect now (this is used to calculate the raw data of pollution level) of each variable and historical summary (the historical raw data of calculating pollution level) as analyzing samples, based on partial least-square regression method, set up the regression equation of dependent variable y and independent variable set X.According to the regression coefficient of calculating gained, analyze the fitting precision of regression equation, explain of the influence of each factor of influence to water quality of river, and utilize variable projection importance index to calculate the pollution cause significance index, thereby definite primary and secondary order that influences each factor of water quality of river, and then determine to cause the most critical external cause of stream pollution, at last analysis result is sent to database management module and store.
(5) blowdown scheme optimization module is used for the optimization blowdown scheme of computational analysis contaminating enterprises.Particularly, after finishing the pollution cause analysis, this module of selecting activation, reduction stream pollution degree target (%) or water quality objective according to user's input, on the basis of polluting main cause analysis data, the backstage scheduler module sends the instruction of weather forecast data access to the remote data base of meteorological department, send computation optimization model call instruction to the computation model administration module, utilize decision support method, determine to satisfy target one day future contaminating enterprises optimization blowdown scheme, will optimize blowdown scheme result at last and be sent to database management module and store.
(6) computation model administration module is used for managing all computation models of above-mentioned module, particularly comprises model inquiry, model parameter manual modification, model parameter is checked automatically and submodule such as self-definition model.Wherein, model parameter is checked the measuring point water quality data of submodule once the selective examination of input environmental administration automatically, just will utilize the BP algorithm self-adaptation adjustment water quality model of artificial neural network, the correlation parameter in the pollution level diagnostic model, to improve the accuracy of real-time diagnosis data; The self-definition model submodule can be accepted the self-defining function (UDF) of user C++ coding, and the correctness of self-verifying coding grammer.
(7) database management module, be used for acceptance and storage real time data (pollute enterprise blow-off pipe geographic position, sewage flow rate, go into river concentration of wastewater, rainfall amount, water level etc.), care diagnostic data (the blowdown scheme of instant stream pollution degree assessment result, pollution main cause analysis result, optimization), historical diagnostic data and figure media article (picture, drawing, map, multimedia document), also comprise data query and function of browse simultaneously.
More than each module adopt following organizational form:
Client layer is accepted user's demand and the monitoring river is carried out basic parameter set;
The overall process module is coordinated efficient, the running in order of other each modules;
The backstage scheduler module is under the jurisdiction of the overall process module, be used for to remote terminal or database send the data access instruction, to each module sending module activation instruction, to computation model administration module transmission pattern call instruction, and form instruction sequence;
Data access module is under the jurisdiction of the overall process module, is used to accept the instruction calls teledata and the local data of backstage scheduler module;
The pollution level evaluation module is the standalone module arranged side by side with the overall process module, begins to carry out evaluates calculation after the assessment instruction of receiving the overall process module; The data access instruction and the model call instruction that send according to the backstage scheduler module in the computation process call corresponding data and computation model in database and the model bank successively according to the order of instruction sequence.
The pollution cause diagnostic module is the standalone module arranged side by side with the overall process module, begins to carry out the pollution cause diagnostic calculation after the diagnostic instruction of receiving the overall process module; The data access instruction and the model call instruction that send according to the backstage scheduler module in the computation process call corresponding data and computation model in database and the model bank successively according to the order of instruction sequence.
Blowdown scheme optimization module is the standalone module arranged side by side with the overall process module, after the optimization instruction of receiving the overall process module, begins to carry out the blowdown scheme optimization and calculates; The data access instruction and the model call instruction that send according to the backstage scheduler module in the computation process call corresponding data and computation model in database and the model bank successively according to the order of instruction sequence.
The computation model administration module is the standalone module arranged side by side with the overall process module, is used to accept the corresponding computation model of instruction calls of backstage scheduler module, and modification interface, the updating interface of various computation models is provided in addition.
Database management module is the standalone module arranged side by side with the overall process module, provides desired data when storage of receiving the backstage scheduler module or call instruction, and error message is provided in the time can not providing desired data.
More than each module when finishing a pollution diagnosis engineering, follow these steps to carry out:
A. start the stream pollution diagnostic platform.
B. basic parameter setting.Carry out river basic parameter setting in the user interface of stream pollution diagnostic platform.
C. stream pollution degree assessment.The backstage scheduler module activates the pollution level evaluation module, and to the instruction of Data access module transmission remote data access, to computation model administration module transmission pattern call instruction, carries out stream pollution degree evaluates calculation;
D. stream pollution cause diagnosis.After finishing the assessment of stream pollution degree, the backstage scheduler module activates the pollution cause diagnostic module, and send instant data and historical data access instruction to Data access module, to computation model administration module transmission pattern call instruction, carry out the stream pollution cause diagnosis then and calculate;
E. contaminating enterprises' blowdown scheme optimization.After finishing the stream pollution cause diagnosis, selecting activation blowdown scheme optimization module according to the target that the user reduces pollution, is carried out following one day blowdown computation optimization of contaminating enterprises along the river;
F. result's output.Select output result type (thematic maps, data form, text scheme), visual output stream pollution diagnostic result and prioritization scheme in user interface.
The present invention has following beneficial effect:
(1) real-time is with the obvious advantage.Can provide the fastest assessment of stream pollution degree according to the real-time weather data of the real-time blowdown data of contaminating enterprises along the river and meteorological department.
(2) the present invention has taken all factors into consideration pollution and combined effect factors such as meteorology, the hydrology, and the contamination data of having gathered pollution source is in real time taked advanced artificial neural network algorithm, and pollution level assessment result and pollution cause diagnostic result are accurate.
(3) can be used for instructing pollutant discharge of enterprise.Owing to taken all factors into consideration the influence of hydrometeorology to the fluvial-environment capacity, can instruct enterprise at the bigger condition down blow of River Dynamic environmental capacity, under the less condition of River Dynamic environmental capacity, reduce discharging, to reduce to pollute infringement the river.
Description of drawings
Fig. 1 is stream pollution diagnostic device of the present invention and connection diagram thereof;
Fig. 2 is module organization framework figure of the present invention;
Fig. 3 is the stream pollution diagnostic flow chart of the embodiment of the invention.
Embodiment
The present invention is described in detail below in conjunction with drawings and the specific embodiments.
The present invention is applied to the pollution diagnosis in river, northern Suzhou, Jiangsu, the basic overview in this river is as follows: stream pattern is that plain tract, Quan He are divided into 5 sections, all the major function zoning of section is the agricultural water district, there is a paper mill at the place in left bank, the 2nd section, by its per day blowdown flow rate of production capacity demand is 7500t, and per hour being converted to blowdown flow rate is 312.5t/h.
The present invention finishes the primary pollution diagnosis engineering in this river on November 5th, 2009 (low water period), this day of paper mill per hour blowdown flow rate be 305t/h, real sewer 7320t.These stream pollution diagnosis concrete steps are as follows:
A. start the stream pollution diagnostic platform, begin to carry out the stream pollution diagnosis.
B. basic parameter setting.Enter parameter setting interface 3-1, select the river course and correlation parameter is set; Stream channel pattern is set to plain tract, and whole sections function zoning in this river course all is set to the agricultural water district; Judge whether to be provided with whole parameter 3-2, if partial parameters setting is arranged, return parameters is set interface 3-1, if parameter is all set, then enters next step.
C. stream pollution degree assessment.After finishing parameter setting, the backstage scheduler module activates pollution level evaluation module 3-3, remote data base to remote terminal that is installed in contaminating enterprises and meteorological department sends the data access instruction, request visit teledata 3-4, and continue to send call instruction to model bank, index storehouse, call pollution level diagnostic model and index 3-5, calculate each section pollution index 3-6 and the complete long weighted mean pollution index 3-7 in river, according to the class of pollution criteria for classifying, judge stream pollution rank 3-8, and result of calculation is sent to the local data library storage; After finishing the assessment of stream pollution degree, can select to show stream pollution degree thematic map or print the calculation result data table in user interface.
This stream pollution degree assessment result is: the 2nd section intermediate pollution in river course, and the 1st, 3,4,5 section slight pollution, the long pollution level in full river is slight pollution;
D. stream pollution cause diagnosis.After finishing the pollution level diagnosis, the backstage scheduler module activates pollution cause diagnostic module 3-9, and to database, model bank, the index storehouse sends serial call instruction, (instant data comprise real-time pollution source data to call instant data and historical data 3-10, weather data and instant pollution level assessment data etc., historical data comprises historical pollution source data, weather data, the pollution level assessment data of hydrology data and history etc.), call pollution cause diagnostic model and index 3-11, utilize partial least square method, calculate pollution cause significance index 3-12, be " contribution rate " of each factor of influence to stream pollution, determine to cause the main cause 3-13 of stream pollution thus, and diagnostic result is sent to the local data library storage; After finishing the stream pollution cause diagnosis, can select to show stream pollution reason thematic map or print corresponding calculation result data table in user interface.
The diagnostic result of this stream pollution reason is: because today, the river flow amount was less, causing in the river with suspension and lignin is the main cause that the pollution source of representative become stream pollution.
E. contaminating enterprises' blowdown scheme optimization.After finishing the pollution cause diagnosis, select decision whether to need to carry out blowdown scheme optimization 3-14,, then directly finish whole diagnostic procedures if select not carry out the blowdown scheme optimization by the user.If select to carry out the blowdown scheme optimization, then the backstage scheduler module activates blowdown scheme optimization module 3-15, the user imports pollution level and reduces target 10% in interactive dialog box, then the diagnostic result of invocation step (3) and (4), call the 24h forecast rainfall amount data of meteorological department, call the optimization analytical model, calculate the target day blowdown flow rate in one day future of contaminating enterprises along the river, generate and optimize blowdown scheme 3-16, and prioritization scheme is sent to the local data library storage; Diagnostic procedure finishes.As calculated, make the following one day long pollution level in full river reduce by 10%, then the optimization blowdown scheme in paper mill is average blowdown 283t per hour, and promptly the total amount of pollutants discharged in one day future is controlled at 6792t, day a CER be 708t.
Described remote terminal is meant the remote terminal of being made up of flowmeter or weir 1-6, GPS chip 1-5, solubility detector 1-7 and single-chip microcomputer 1-4 that is connected on the river 1-1 of the 1-2 coast pollution enterprise blow-off pipe 1-3.
Described single-chip microcomputer 1-4 receives the data access instruction that Data access module is sent, and instruction is decomposed flowmeter 1-6, GPS chip 1-5, solubility detector 1-7, and single-chip microcomputer 1-4 obtains to return to Data access module after the measured data.
Described teledata, is gone into the data such as river concentration of wastewater the real-time blowdown flow of contaminating enterprises, the sewer geographic position that sends except remote terminal, also comprises real-time rainfall amount data, 24h forecast rainfall amount data and the river level data of meteorological department.
Further, communicate by the WLAN mode between described remote terminal and the stream pollution diagnostic platform 1-8, the mode by static IP between the database 1-9 of stream pollution diagnostic platform 1-8 and meteorological department communicates.
Further, described stream pollution diagnostic platform comprises: overall process module, pollution level evaluation module, pollution cause diagnostic module, and blowdown scheme optimization module, computation model administration module and database management module, as shown in Figure 2;
Further, described remote terminal is to transform on the basis of contaminating enterprises' existing equipment, this river course contaminating enterprises have along the river disposed sewage and have gone into river solubility on-line detector device, particularly its remodeling method is: build by laying one section weir at sewage water discharge pipe end, laser water level readout instrument is installed in water gaging weir plate top, is used for obtaining automatically the sewage real-time traffic; Go into a GPS chip is installed on the concentration of wastewater on-line detector of river original, be used to obtain the pollution source geographic position; Single-chip microcomputer is installed, is inserted the internet in the mode of WLAN and realize communicating by letter of this remote terminal and stream pollution diagnostic platform.
F. export the schedule table of prioritization scheme 3-17.
Table 1 prioritization scheme dispatch list
Above-described specific embodiment; technical scheme of the present invention has been carried out further detailed description; institute is understood that; the above only is specific embodiments of the invention; be not limited to the present invention; all within claim of the present invention, any modification of being made, be equal to replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (5)
1. the method for a stream pollution real-time diagnosis comprises: stream pollution diagnostic platform, pollution level evaluation module, pollution cause diagnostic module, blowdown scheme optimization module, computation model administration module and database management module; It is characterized in that: this method is carried out according to the following steps when finishing a pollution diagnosis engineering:
A. start the stream pollution diagnostic platform; B., basic parameter is set; C. carry out the assessment of stream pollution degree; D. carry out the stream pollution cause diagnosis; E. carry out contaminating enterprises' blowdown scheme optimization; F. carry out result's output.
2. method according to claim 1 is characterized in that: described stream pollution degree assessment concrete grammar is: weather data in the reading database and river characteristic data, and transfer environment calculation of capacity model calculates the dynamic environment capacity of each section; Pollution source data in the reading database are called water quality model again, calculate the real-time pollutant levels of each section; According to the weight of dynamic environment capacity and each contamination index, carry out the calculating of the long pollution index of each section pollution index and full river by degree of order entropy computation model again; According to the class of pollution criteria for classifying, determine the class of pollution in river, and the pollution level assessment result is sent to database management module stores.
3. method according to claim 1, it is characterized in that: described stream pollution cause diagnosis concrete grammar is: according to the stream pollution degree assessment result of c step, utilize partial least square method, with the pollution level in river as dependent variable y, with its n factor of influence x
1, x
2..., x
nForm independent variable set X, collect now of each variable and historical summary as analyzing samples, based on partial least-square regression method, set up the regression equation of dependent variable y and independent variable set X, according to the regression coefficient of calculating gained, analyze the fitting precision of regression equation, explain of the influence of each factor of influence to water quality of river, and utilize variable projection importance index to calculate the pollution cause significance index, thereby definite primary and secondary order that influences each factor of water quality of river, and then determine to cause the most critical external cause of stream pollution, at last analysis result is sent to database management module and store.
4. method according to claim 1, it is characterized in that: described contaminating enterprises blowdown scheme optimization concrete grammar is: according to the reduction stream pollution degree target or the water quality objective of user's input, on the basis of polluting main cause analysis data, the backstage scheduler module sends the instruction of weather forecast data access to the remote data base of meteorological department, send computation optimization model call instruction to the computation model administration module, utilize expert reasoning and decision support method, determine to satisfy target one day future contaminating enterprises optimization blowdown scheme, will optimize blowdown scheme result at last and be sent to database management module and store.
5. one kind with the equipment of realizing the stream pollution real-time diagnosis as method as described among the claim 1-4 any, comprise: be connected the flowmeter on contaminating enterprises' blow-off pipe along the river, the GPS chip, the solubility detector, the remote terminal that single-chip microcomputer is formed, it is characterized in that: described single-chip microcomputer receives the data access instruction that Data access module is sent, instruction is decomposed flowmeter, the GPS chip, the solubility detector, single-chip microcomputer obtains to return to Data access module after the measured data, and the mode by WLAN/3G between described RTU (remote terminal unit) and the stream pollution diagnostic platform communicates.
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