CN109389540A - Basin regimen monitoring method, device, system and server - Google Patents

Basin regimen monitoring method, device, system and server Download PDF

Info

Publication number
CN109389540A
CN109389540A CN201710681308.0A CN201710681308A CN109389540A CN 109389540 A CN109389540 A CN 109389540A CN 201710681308 A CN201710681308 A CN 201710681308A CN 109389540 A CN109389540 A CN 109389540A
Authority
CN
China
Prior art keywords
basin
sub
regimen
data
section
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
Application number
CN201710681308.0A
Other languages
Chinese (zh)
Inventor
彭建华
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
ZTE Corp
Original Assignee
ZTE Corp
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by ZTE Corp filed Critical ZTE Corp
Priority to CN201710681308.0A priority Critical patent/CN109389540A/en
Publication of CN109389540A publication Critical patent/CN109389540A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/26Government or public services
    • G06Q50/265Personal security, identity or safety
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02ATECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A10/00TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE at coastal zones; at river basins
    • Y02A10/40Controlling or monitoring, e.g. of flood or hurricane; Forecasting, e.g. risk assessment or mapping

Landscapes

  • Business, Economics & Management (AREA)
  • Tourism & Hospitality (AREA)
  • Engineering & Computer Science (AREA)
  • General Health & Medical Sciences (AREA)
  • Marketing (AREA)
  • Development Economics (AREA)
  • Health & Medical Sciences (AREA)
  • Economics (AREA)
  • Computer Security & Cryptography (AREA)
  • Human Resources & Organizations (AREA)
  • Educational Administration (AREA)
  • Primary Health Care (AREA)
  • Strategic Management (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The present invention relates to a kind of basin regimen monitoring methods, device, system and server, by the way that entire basin is divided into different sub-basins according to basin characteristic, by different data processing nodes, according to the hydrologic regime data of the sub-basin regimen relationship of the corresponding sub-basin of the data processing node itself and the sub-basin, obtain the regimen result of the sub-basin, it will be shown after the regimen result convergence for the different sub-basins that each data processing node obtains, for large watershed, hydrologic regime data amount is big, very high flood forecasting is required to real-time calculating, provide the data-handling capacity of high speed, it realizes high efficiency and handles a large amount of hydrologic regime datas, hydrologic regime data is significantly improved to handle in real time, meet the performance requirement of flood forecast system, to accomplish the real-time monitoring regimen of flood forecasting in the case of big data, significantly reduce flood A possibility that causing disaster improves the efficiency of social fight-flood disaster reduction.

Description

Basin regimen monitoring method, device, system and server
Technical field
The present invention relates to Internet of Things and water conservancy application field, more particularly to a kind of basin regimen monitoring method, device, are System and server.
Background technique
Regimen disaster, especially flood are to seriously threaten one of important natural calamity of human survival, river in 1975 Southern Banqiao reservoir overflows dam event, causes about 2.6 ten thousand people wrecked, and the Changjiang river extraodinary flood in 1998, the entire Yangtze river basin is such as faced greatly Enemy, only 8 months Chinese whole nations have 29 provinces (area, city), 1810 59,320,000 people of county by flood before 2015, because calamity is dead 232 people, missing 55 people are died, transfer and resettle urgently 466.35 ten thousand people, disaster-stricken 4,839,000 hectares of crops, collapsed house 11.75 ten thousand Between, about 117,600,000,000 yuan of direct economic loss, indirect economic loss is even more that can not estimate.
Consequence caused by water disaster is so serious, countries in the world all put into a large amount of human and material resources to flood at Because being studied, real-time monitoring and in time prediction are carried out to the regimen in each basin.
But in the case where being quickly applied to water conservancy industry with Internet of Things, hydrologic regime data is quicklyd increase, flood forecasting With sizable computation complexity, but basin regimen needs real-time monitoring again, therefore there are regimens in the water regime monitoring of basin Data-handling efficiency needs the problem of improving.
Summary of the invention
Based on this, it is necessary in view of the above-mentioned problems, a kind of basin regimen monitoring method, device, system and server are provided, It aims at high efficiency and handles a large amount of hydrologic regime datas to accomplish the purpose of real-time monitoring regimen.
Technical solution used in the embodiment of the present invention is as follows:
A kind of basin regimen monitoring method, which comprises
Receive the hydrologic regime data of the corresponding sub-basin of data processing node itself, the sub-basin be by entire basin according to Basin characteristic divides;
According to the hydrologic regime data of the sub-basin corresponding sub-basin regimen relationship and the sub-basin, the subflow is obtained The regimen result in domain;
The regimen of the sub-basin is sent as a result, the regimen result of the sub-basin is for the regimen knot with other sub-basins It is shown after fruit convergence.
A kind of basin regimen monitoring device, described device include:
Receiving module, handles the hydrologic regime data of the corresponding sub-basin of node itself for receiving data, and the sub-basin is It is divided by entire basin according to basin characteristic;
Module is obtained, for the regimen number according to the sub-basin corresponding sub-basin regimen relationship and the sub-basin According to obtaining the regimen result of the sub-basin;
Sending module, for sending the regimen of the sub-basin as a result, the regimen result of the sub-basin is used for and other It is shown after the regimen result convergence of sub-basin.
A kind of basin water regime monitoring system, the system comprises:
Hydrologic data collection unit, the hydrologic data collection equipment for each sub-basin acquire the corresponding sub-basin Hydrologic regime data, the sub-basin is to be divided by entire basin according to basin characteristic;
Hydrologic regime data processing unit is used for each data processing node, according to the corresponding sub-basin regimen of the sub-basin The hydrologic regime data of relationship and the sub-basin obtains the regimen result of the sub-basin;
Hydrologic regime data display unit, the regimen for each sub-basin after converging is as the result is shown.
A kind of server, the server include memory and processor, are stored on the memory by the place Manage the computer program of device operation, wherein the step of processor realizes the method when executing the computer program.
A kind of basin regimen monitoring method, device, system and server provided in an embodiment of the present invention, by will entirely flow Domain is divided into different sub-basins according to basin characteristic, by different data processing nodes, certainly according to the data processing node The sub-basin regimen relationship of the corresponding sub-basin of body and the hydrologic regime data of the sub-basin, obtain the regimen of the sub-basin As a result, by being shown after the regimen result convergence for the different sub-basins that each data processing node obtains, for large watershed, regimen number It is big according to amount, very high flood forecasting is required to real-time calculating, the data-handling capacity of high speed is provided, realizes at high efficiency A large amount of hydrologic regime datas are managed, hydrologic regime data is significantly improved and handles in real time, meet the performance requirement of flood forecast system, to do The real-time monitoring regimen of flood forecasting, significantly reduces a possibility that flood causes disaster, improves society in the case of to big data The efficiency of meeting fight-flood disaster reduction.
Detailed description of the invention
Fig. 1 is the architecture diagram of water regime monitoring system one embodiment in basin provided by the invention;
Fig. 2 is the architecture diagram of another embodiment of basin water regime monitoring system provided by the invention;
Fig. 3 is the system module structure chart for the basin water regime monitoring system embodiment that Fig. 2 is provided;
Fig. 4 is the flow chart of regimen monitoring method one embodiment in basin provided by the invention;
Fig. 5 is the corresponding relationship of regimen relationship in regimen monitoring method in basin provided by the invention;
Fig. 6 is the flow chart of another embodiment of basin regimen monitoring method provided by the invention;
Fig. 7 is the program module architecture diagram of regimen monitoring device one embodiment in basin provided by the invention.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to the accompanying drawings and embodiments, right The present invention is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, and It is not used in the restriction present invention.
Referring to Fig. 1, in one embodiment, the present invention provides a kind of basin water regime monitoring system, the system comprises:
Hydrologic data collection unit 11, the hydrologic data collection equipment for each sub-basin acquire the corresponding subflow The hydrologic regime data in domain, the sub-basin are to be divided by entire basin according to basin characteristic.
Specifically, the Hydrological data-collecting equipment is sensor, the hydrologic regime data of the sub-basin is acquired by sensor.It is logical It crosses using entire basin to be divided into different sub-basins, utilizes the number of each sub-basin of construction and the biography of the sub-basin The sensor of each sub-basin and sub-basin is mapped by the number of sensor, is acquired by the sensor of the sub-basin each The hydrologic regime data of sub-basin.
Hydrologic regime data processing unit 12 is used for each data processing node, according to the corresponding sub-basin water of the sub-basin The hydrologic regime data of feelings relationship and the sub-basin obtains the regimen result of the sub-basin.
Specifically, the data processing node is computer processor.Each regimen processing node is according to the sub-basin The regimen relationship of corresponding sub-basin and the hydrologic regime data of the sub-basin obtain the regimen of the sub-basin as a result, the regimen As a result it includes at least with the next item down:
(1) basin section cross section transverse SEA LEVEL VARIATION trend meter is carried out by basin section cross section transverse SEA LEVEL VARIATION trend model It calculates;
(2) basin section cross section transverse water table trend is carried out by basin section cross section transverse water table trend change rate model to change Rate calculates;
(3) basin section cross section transverse Real-time Water flow rate calculation is carried out by basin section cross section transverse Real-time Water discharge model.
The regimen of corresponding sub-basin is obtained by each data processing node as a result, by the regimen result of each sub-basin After convergence, to obtain the regimen result in entire basin.
Hydrologic regime data display unit 13, the regimen for each sub-basin after converging is as the result is shown.
Specifically, the display unit is terminal display.The water for the sub-basin that each regimen processing node obtains Feelings data calculated result is pushed, after converging arrive display unit, display unit show by various modes be accumulated it is described The hydrologic regime data of sub-basin realizes the monitoring of watershed regimen.
In one embodiment, the hydrologic regime data processing unit includes:
Real-time water flow obtains subelement, for the basin section cross section transverse Real-time Water discharge model according to the sub-basin With the hydrologic regime data, the basin section real-time water flow of cross section transverse of the sub-basin is obtained;
SEA LEVEL VARIATION trend obtains subelement, for the basin section cross section transverse SEA LEVEL VARIATION trend according to the sub-basin Model and the hydrologic regime data obtain the basin section cross section transverse SEA LEVEL VARIATION trend of the sub-basin;
SEA LEVEL VARIATION trend rate obtains subelement, for being become according to the basin section cross section transverse water table trend of the sub-basin Rate model and the hydrologic regime data obtain the basin section cross section transverse water table trend change rate of the sub-basin.
In one embodiment, the system also includes:
Hydrologic regime data Dispatching Unit, for obtaining the hydrologic regime data of the sub-basin from data receiver memory section, according to The hydrologic regime data of received each sub-basin is distributed to the corresponding data processing node of the sub-basin by preset algorithm.
Specifically, the hydrologic regime data Dispatching Unit is computer processor, the computer processor is from data receiver Memory section obtains the hydrologic regime data of the sub-basin, to the hydrologic regime data of the sub-basin according to the number to each sub-basin And the number of the sensor of the sub-basin, it is distributed according to preset algorithm, the hydrologic regime data of each sub-basin is distributed to Corresponding each different data processing node.
In one embodiment, the system also includes:
Sub-basin regimen relation unit, for according to the basin characteristic of each sub-basin, establishing each in memory database The sub-basin regimen relationship of a sub-basin, and according to the hydrologic regime data of each sub-basin, update the sub-basin pair The sub-basin regimen relationship answered.
Referring to Fig. 2, Fig. 2 is the architecture diagram of another embodiment of basin water regime monitoring system provided by the invention, comprising:
Data acquisition unit 21, for by, with the sensor of unique number, acquiring each subflow in entire basin The hydrologic regime data in domain is stored in data receiver memory section after receiving between data receiver memory field;
File distributing unit 22, for by the hydrologic regime data of each sub-basin received between data receiver memory field, according to The number of the sensor of the number and sub-basin of each sub-basin of construction is distributed to each by preset ways of distribution A data processing node, the hydrologic regime data Dispatching Unit are computer processor;
Data storage cell 23, for storing each sub-basin regimen relation data in server database, and inside The hydrologic regime data of each sub-basin is stored in deposit data library.Specifically, each subflow is established and updated by memory database The sub-basin regimen relationship in domain, the sub-basin regimen relationship includes the various regimen models for the sub-basin being related to, for example, basin Section cross section transverse Real-time Water discharge model, basin section cross section transverse SEA LEVEL VARIATION trend model and basin section cross section transverse water level become Gesture change rate model etc., data storage cell 23 includes memory database subelement 231 and data storage subunit operable 232, described Parameter training is carried out on memory database subelement 231 and stage discharge relation confirms, parameter training is true with stage discharge relation Recognize, calculate 2312 by Hydro-Model Parameter Calibration Technology calibration 2311 and stage discharge relation and carry out, in this way, by by the sub-basin water Feelings relationship is calculated and is managed by individual unit, and each corresponding data processing node is then loaded into, and is improved each The performance of a data processing node makes Real Time Hydrologic monitoring and predictability especially in the hydrologic regime data of big data quantity It can be significantly improved;
Regimen computing unit 24 is obtained for handling the hydrologic regime data of different sub-basins by each data processing node The regimen of different sub-basins is as a result, the regimen result is included at least with the next item down: the real-time water flow of basin section cross section transverse, stream Domain section cross section transverse SEA LEVEL VARIATION trend and basin section cross section transverse water table trend change rate, the data processing node are to calculate Machine processor;
Visualization 25, for passing through each sub-basin after visual means display convergence according to predetermined manner Regimen is as a result, the visualization is terminal display;
Monitoring and scheduling unit 26, for the practical situation according to each sub-basin, by the regimen number of different sub-basins According to being scheduled, it is assigned to different data processing nodes, the monitoring is computer processor with scheduling unit.
Referring to Fig. 3, Fig. 3 is the system module structure chart for the basin water regime monitoring system embodiment that Fig. 2 is provided, comprising:
The system architecture of Fig. 2 can be converted into the system module structure of Fig. 3, system module structure by: data acquire;Basin Duan Shuiwei and water flow calculate;Basin water level, the training of water flow corresponding relationship;Hydrologic regime data push;Regimen real-time monitoring is visual Change and constitutes, specifically, including following composition:
Hydrologic regime data receiving module 31, for the hydrologic regime data for each sub-basin that receiving sensor is sent, each subflow Domain is by, with the sensor of unique number, acquiring the hydrologic regime data of each sub-basin, the hydrologic regime data in entire basin After receiving between data receiver memory field, it is stored in data receiver memory section;
Hydrologic regime data distribution module 32, for by the hydrologic regime data of each sub-basin received between data receiver memory field, According to the number of each sub-basin of construction and the number of the sensor of the sub-basin, it is distributed to by preset ways of distribution Each data processing node, for example distributed by Hash (Hash) algorithm, the hydrologic regime data distribution module is computer disposal Device;
Regimen computing module 33 is obtained for handling the hydrologic regime data of different sub-basins by each data processing node The regimen of different sub-basins is as a result, the regimen result is included at least with the next item down: the real-time water flow of basin section cross section transverse, stream Domain section cross section transverse SEA LEVEL VARIATION trend and basin section cross section transverse water table trend change rate, the regimen computing module are to calculate Machine processor;
Regimen relationship storage module 34, for storing the hydrologic regime data of each sub-basin in server database, and it is logical The sub-basin regimen relationship that each sub-basin was established and updated to memory database is crossed, the sub-basin regimen relationship includes being related to The various regimen models of sub-basin, for example, basin section cross section transverse Real-time Water discharge model, basin section cross section transverse SEA LEVEL VARIATION Trend model and basin section cross section transverse water table trend change rate model etc., regimen relationship storage module 34 includes memory database Submodule and data sub-module stored;
Monitoring and scheduler module 35, for according to the practical situation of each sub-basin by the hydrologic regime data of different sub-basins It is scheduled, is assigned to different data processing nodes, the monitoring is computer processor with scheduler module;
Hydrologic regime data pushing module 36, the regimen knot of each sub-basin for receiving each data processing node push Fruit, the hydrologic regime data pushing module are computer processor;
Hydrologic regime data visualization model 37, for passing through each height after visual means display convergence according to predetermined manner The regimen in basin is as a result, the hydrologic regime data visualization model is terminal display.
Referring to Fig. 4, Fig. 4 is the flow chart of regimen monitoring method one embodiment in basin provided by the invention, the side Method includes:
S401, the hydrologic regime data for receiving the corresponding sub-basin of data processing node itself, the sub-basin is by entirely flowing Domain is divided according to basin characteristic.
Specifically, Fig. 2, Fig. 4 and Fig. 5 are please referred to, entire basin is divided into different sub-basins according to basin characteristic.It is right Each sub-basin is numbered, and the sensor of each sub-basin acquisition hydrologic regime data is also numbered, the sub-basin described in this way Number just constitutes the unique number that sensor has in entire basin with the sensor number, and this number can be right The collected hydrologic regime data of sensor is corresponding in different sub-basins, can between each sub-basin according to the relationship between number Establish the corresponding relationship in data.
Fig. 2 and Fig. 3 are please referred to, in Fig. 2 after the sensor acquisition data of data acquisition unit 21, is transferred in data receiver Section is deposited, i.e. data receiver memory section unit 31 in Fig. 3 carries out data receiver.Data receiver memory section unit in Fig. 3 31 receive the hydrologic regime data of each sub-basin of each sensor acquisition, since data acquisition is divided into not using by entire basin Same sub-basin, the hydrologic regime data of different sub-basins is handled by different data processing nodes, so that it is big to solve large watershed Network flow and bandwidth limitations when data volume, more conducively quickly handle the hydrologic regime data of each sub-basin.
Further, the scale of acquisition node is determined by the size of basin section with basin scale.One basin section is according to stream Multiple collection points actually can be set in domain section, and the data of acquisition are distinguished by the Key (key value) of following rule, judge to pass The corresponding relationship of the data of sensor acquisition and the collection point of basin section and sensor:
C+ "-"+collection point sequence number+"-"+segment mark, for example, C-2- section 3, indicates the 2nd acquisition of the 3rd basin section Point.
The hydrologic regime data of each sub-basin is after sensor acquires, 31 real-time perfoming regimen of data receiver memory section unit Data receiver, data receiver memory section receive the water level information of each sensor transmission in time, water level information, sensor, Each sub-basin section such as section, which is flowed into, is put into data receiver memory section with outflow section water level information;According still further to pre- imputation Method sends each different data processing node, the data processing section for the hydrologic regime data of each sub-basin through data distribution Point receives the hydrologic regime data of the corresponding sub-basin of the data processing node itself.
Please continue to refer to Fig. 2 and Fig. 3, data processing node 24 is regimen processing unit in Fig. 2, and regimen handles node and receives After the hydrologic regime data of itself corresponding sub-basin, hydrologic regime data is handled, i.e. 33 part of regimen computing module in Fig. 3.
S402, according to the hydrologic regime data of the sub-basin corresponding sub-basin regimen relationship and the sub-basin, obtain institute State the regimen result of sub-basin.
Specifically, please referring to Fig. 2, Fig. 3 and Fig. 4, regimen handles node according to the corresponding sub-basin regimen of the sub-basin The hydrologic regime data of relationship and the sub-basin obtains the regimen of the sub-basin as a result, the sub-basin regimen relationship includes being related to Sub-basin various regimen models, for example, basin section cross section transverse Real-time Water discharge model, basin section cross section transverse water level become Change trend model and basin section cross section transverse water table trend change rate model etc., the regimen result is included at least with the next item down:
(1) basin section cross section transverse SEA LEVEL VARIATION trend meter is carried out by basin section cross section transverse SEA LEVEL VARIATION trend model It calculates;
(2) basin section cross section transverse water table trend is carried out by basin section cross section transverse water table trend change rate model to change Rate calculates;
(3) basin section cross section transverse Real-time Water flow rate calculation is carried out by basin section cross section transverse Real-time Water discharge model.
Pass through watershed section cross section transverse SEA LEVEL VARIATION trend, basin section cross section transverse water table trend change rate and basin section The calculating of the real-time water flow of cross section transverse, watershed regimen carry out real-time monitoring and in time prediction.
Data analysis and processing to the hydrologic regime data of each sub-basin, using 33 part institute of regimen computing module in Fig. 3 The framework shown handles the hydrologic regime data of different sub-basins with different data processing nodes respectively, can satisfy basin regimen prison The high request that large watershed magnanimity hydrologic regime data is handled in time in survey.
S403, the regimen of the sub-basin is sent as a result, the regimen result of the sub-basin is used for and other sub-basins It is shown after the convergence of regimen result.
It please refers to Fig. 2, Fig. 3 and Fig. 4 and sends the son after regimen processing node obtains the regimen result of the sub-basin The regimen in basin is as a result, the regimen result of the sub-basin is used to show with after the convergence of the regimen result of other sub-basins.
Specifically, as shown in Fig. 2, the hydrologic regime data calculated result for the sub-basin that regimen processing node 24 obtains is pushed away It send, display unit 25 is arrived after converging, display unit 25 shows the regimen number for the sub-basin being accumulated by various modes According to the monitoring of realization watershed regimen.
Referring to Fig. 3, the regimen calculated result that each data processing node obtains in regimen computing module 33 is put into Fig. 3's It is pushed in hydrologic regime data push unit 36, method for pushing is directly using various communications protocol, each sub-basin section Calculating regimen as a result, such as basin section cross section transverse SEA LEVEL VARIATION trend, basin section cross section transverse water table trend change rate Client is pushed to indexs such as the basin section real-time water flows of cross section transverse to show.
Regimen as the result is shown when, Fig. 3 visualization interface 37 carry out real-time visual show.Preferably, first visually Change and show entire basin, preferably uses GIS (GIS-Geographic Information System, Geographic Information System, or be Geo-Information system, GIS, also known as " GeoscienceInformation System ") technology, display basin with Relevant landform, landforms pass through SEA LEVEL VARIATION trend, water table trend change rate and the real-time water flow of each basin section of Dynamically Announce The regimens such as amount are as a result, realize that the river forcasting in each basin and whole basin river forcasting are monitored in time and visualized.
Further, the specific embodiment of regimen result visualization can be implemented by following methods.
(1) embodiment one is visualized.
The client of real-time monitoring is using thick ad hoc mode, using C/S model, between data gathering node and client Using message-oriented middleware, data gathering node is in real time put into the data of each sub-basin section in message-oriented middleware, client Timing obtains data from message-oriented middleware and shows in client.
Wherein, C/S model, also known as Client/Server or Client/Server pattern.Server generallys use high property PC, work station or the minicomputer of energy, and large-scale database system is used, such as ORACLE, SYBASE, InfORMix or SQL Server.Client needs to install dedicated client software.In the system of Client/Server structure, application program point For client and server end two large divisions.Client part is that each user is proprietary, and server-side portion is then by multiple use Share its information and function in family end.Client part be generally responsible for execute foreground function, as management of user's interface, data processing and Report request etc.;And server-side portion executes background service, such as manages shared peripheral hardware, operation of the control to shared data bank Deng.This architecture is made of multiple stage computers, they are organically combined together, and the application of whole system is completed in collaboration, It is utilized to greatest extent to reach soft and hardware resource in system.
(2) embodiment two is visualized.
The client of real-time monitoring is using thick ad hoc mode, and using C/S model, monitor client is opened socket and listened to Service, data gathering node directly use TCP/IP mode, are broadcast to client, and client receives data and real-time display.Its In, TCP/IP refers to writing a Chinese character in simplified form for " transmission Control Protocol/Internet Protocol ", Chinese translation For transmission control protocol/internet protocol.SOCKET, for mutual between two application programs based on ICP/IP protocol Communication.It appears in unix system earliest, is the main mode of intelligence transmission of unix system.In WINDOWS system, SOCKET Referred to as WINSOCK.
(3) embodiment three is visualized.
The client of real-time monitoring uses browser mode, and data are sent into Web server and serviced by data gathering node End, Web server server-side are pushed to information using comet (" server push " technology based on HTTP long connection) technology Client.Wherein, Web server refers to Web server, and WEB server is also referred to as WWW (WORLD WIDE WEB) server, Major function is to provide net information browse service.
Wherein, comet, " server push " technology based on HTTP long connection are a kind of new Web application architectures, are based on In the application of this framework exploitation, server end can actively in an asynchronous manner to client-side program propelling data, without The explicit sending request of client.Comet framework is very suitable to event driven Web application, and to interactivity and real-time It is required that very strong application.Server push technology (Server Push) is a popular art most popular in nearest Web technology Language is also known as Comet (comet).
(4) embodiment four is visualized.
The client combination GIS map of real-time monitoring marks the basin in GIS map according to split time situation, together When basin in collection point also carry out correspondence markings, every section of basin shows Real Time Hydrologic using dynamic color, this stream Domain is exactly the monitoring of dynamic regimen, a display figure, clicks each segmentation basin, the regimen dynamic change figure in segmentation basin occurs, Dynamic change figure is high-visible comprising regimen time-tendency graph, the change procedure of regimen, the very clear receipts of the development trend of regimen Enter eyeground.
In one embodiment, the hydrologic regime data is the keyword according to the collection point of the sub-basin according to pre- imputation Method distribution;The keyword is constructed according to preset rules.
Specifically, please refer to Fig. 2 and Fig. 3, in Fig. 3 file distributing unit 32 according to the number of each sub-basin of construction and The keyword Key value of the number of the sensor of the sub-basin is distributed to the hydrologic regime data of different sub-basin sections different Handled in data processing node, wherein the number can take following rule construct: C+ "-"+collection point sequence number + "-"+segment mark, for example, C-2- section 3, indicates the 2nd collection point of the 3rd basin section.
Hydrologic regime data is distributed according to the number of the number of each sub-basin and the sensor of the sub-basin, each The hydrologic regime data of a sub-basin is distributed to each different data processing node, hydrologic regime data distribution can in the following manner it One is distributed.
1. ways of distribution one.
Data are obtained from data receiver memory section, utilize the unique number of sub-basin and the sensor of the sub-basin The unique number of construction is distributed as key value key using consistency Hash strategy, data distribution to different data Handle node.
Wherein, consistency Hash proposes in the Cache environment of dynamic change, and hash algorithm should meet 4 suitable Answer condition: harmonious (Balance);Monotonicity (Monotonicity);Dispersed (Spread);It loads (Load).
2. ways of distribution two.
Data are obtained from data receiver memory section, use MD5 (Message Digest Algorithm MD5, Chinese Entitled Message Digest Algorithm 5) algorithm sends data, hydrologic regime data is distributed to different data processing nodes. The unique number for parsing the unique number of sub-basin and the sensor construction of the sub-basin obtains the ginseng that MD5 algorithm needs Number, four parameters that MD5 algorithm needs are respectively collection point sequence number, segment mark, collection point serial number+segment mark and unique volume Number itself.
Wherein, MD5, that is, Message-Digest Algorithm 5 (Message-Digest Algorithm 5), for ensuring that information is transmitted It is complete consistent.It is one of widely used hash algorithm of computer (and translating digest algorithm, hash algorithm), by data (such as Chinese character) Operation is another fixed-length value, is the basic principle of hash algorithm, there are MD2, MD3 and MD4 in the predecessor of MD5.
MD5 algorithm has the following characteristics that
1), compressibility: the MD5 value length of the data of random length, calculating is fixed.
2) it, is easy to calculate: calculating MD5 value from former data and be easy to.
3), anti-modification: making any change to former data, even only modifying 1 byte, obtained MD5 value has Very big difference.
4), strong impact resistant: known original data and its MD5 value want that finding the data with identical MD5 value (forges Data) it is very difficult.
3. ways of distribution three.
Data are obtained from data receiver memory section, ((Secure Hash Algorithm, is translated SHA using SHA-1 algorithm Make secure hash algorithm)) data are sent, data distribution to different data processing nodes.
Wherein, SHA-1 algorithm, also known as Secure Hash Algorithm (Secure Hash Algorithm), are primarily adapted for use in number Digital Signature Algorithm (the Digital defined inside word signature standard (Digital Signature Standard DSS) Signature Algorithm DSA).It is less than 2^64 message for length, the message that SHA1 can generate one 160 is plucked It wants.When receiving message, this eap-message digest can be used to the integrality of verify data.During transmission, number According to being likely to change, then will at this time generate different eap-message digests.SHA1 has following characteristic: cannot be from disappearing Information is restored in breath abstract;Two different message will not generate same eap-message digest.
4. ways of distribution four.
Data are obtained from data receiver memory section, utilize the number of each sub-basin of construction and the biography of the sub-basin The unique number of the keyword Key value of the number of sensor sends data using BKDR hash algorithm, as key water Feelings data distribution is to different data processing nodes.
Wherein, BKDRHASH is a kind of character hash algorithm, hash algorithm by the binary value of random length be mapped as compared with The binary value of short regular length, this small binary value are known as cryptographic Hash.Cryptographic Hash be one piece of data uniquely and extremely Compact numerical value representation.If hashing a Duan Mingwen and even only changing a letter of the paragraph, subsequent Hash Different values will all be generated.Two different inputs that hash is the same value are found, are computationally impossible, so The cryptographic Hash of data can be generally used for quickly lookup and Encryption Algorithm with the integrality of inspection data.
BKDR hash algorithm is accomplished by
1) seed of a unsigned int is set;
2) initialization hash value is 0;
3) preceding n of the unique number values calculated as hash are taken;
4) hashed value is successively to take out n Sn before unique number, and calculate according to following logic loops: hash value is multiplied by seed In addition the ASCII value of present bit (refers to American Standard Code for Information Interchange, the U.S. Standard code for information interchange) as new hash value, as a result it is exactly for distributing that cycle calculations are completed until n bit number calculates Hash value.
Wherein, Hash (Hash) algorithm is for the principle of data distribution:
1) measurement index of .Hash algorithm is monotonicity (Monotonicity), be defined as monotonicity refer to if There are some contents to be assigned in corresponding buffering by Hash, and has there is new buffering to be added in system.The knot of Hash Fruit should be able to guarantee that original allocated content can be mapped in new buffering, without being mapped to old buffering collection Other buffer areas in conjunction.
2) cardinal principle of .Hash is exactly to be mapped to small range a wide range of.
It is constituted according to the key are as follows: C+ "-"+collection point sequence number+"-"+segment mark can be value by hash The very wide value of range shorten to lesser range.By the way that Key is mapped to small-scale element, then small-scale element Further it is mapped to node.
In one embodiment, the water according to the sub-basin corresponding sub-basin regimen relationship and the sub-basin Feelings data, before the step of obtaining the regimen result of the sub-basin further include:
Load the sub-basin regimen relationship of the corresponding sub-basin of the data processing node itself, the sub-basin water Feelings relationship is obtained from memory database.
In one embodiment, the sub-basin water of the corresponding sub-basin of the load data processing node itself Feelings relationship, the sub-basin regimen relationship in memory database after the step of acquisition further include:
The sub-basin regimen relationship updated according to predetermined period load;The sub-basin regimen of the update is closed System, is to be obtained according to predetermined period according to the corresponding relationship adjust automatically between parameter preset and the hydrologic regime data of the sub-basin ?.
Fig. 2, Fig. 3 and Fig. 5 are please referred to, Fig. 5 is the correspondence of regimen relationship in regimen monitoring method in basin provided by the invention Relational graph.Different hydrological models is established for different sub-basin sections, and hydrological model refers to the complicated hydrology with analogy method The model that approximate scientific model given by phenomenon and process warp generalization, i.e. stage discharge relation calculate, such as sub-basin Various regimen models, for example, basin section cross section transverse Real-time Water discharge model, basin section cross section transverse SEA LEVEL VARIATION trend model It is corresponding with basin section cross section transverse water table trend change rate model etc., such as the corresponding hydrological model 1 of sub-basin section 1, sub-basin section 2 Hydrological model 2 ... sub-basin section n, corresponding hydrological model n.
Please continue to refer to Fig. 5, Fig. 5 is the corresponding relationship of regimen relationship in regimen monitoring method in basin provided by the invention Figure is that sub-basin section and water level, flow, water level weighting and average area (average area that Δ V is N sections of outflow sections) are right It should be related to.
Using basin characteristic, section, the water level, flow, average area, height of water level of each sub-basin section cross section transverse are established Parameter, corresponding hydrological model, the correspondence for corresponding to hydrological model suitable parameters and corresponding humidity, permeability, water evaporation degree etc. Relationship can constantly serialize corresponding relationship in system operation to disk, and in system operation, each section of corresponding relationship is by list Only parameter training and stage discharge relation confirmation unit are completed, meanwhile, water level, flow, average area, height of water level parameter, Corresponding hydrological model, corresponding hydrological model suitable parameters and corresponding humidity, permeability, water evaporation degree parameter can be according to warps Test manual setting.
Parameter training and the timing of stage discharge relation confirmation unit execute, and periodically calculate each sub-basin water level, flow closes System, corresponding relationship timing update, and update the newest corresponding relationship of sub-basin water level, flow to memory database mapping table In.Parameter training and the water level that stage discharge relation confirmation unit is completed, flow, average area, height of water level parameter, corresponding water Literary model corresponds to the corresponding relationships such as hydrological model suitable parameters and corresponding humidity, permeability, water evaporation degree, is serialized To local disk, and the corresponding regimen relationship internal storage data in each data processing calculate node that timely updates, the data Processing node only pinpoints the sub-basin regimen relationship for loading the corresponding sub-basin of the data processing node itself.
By the parameter training of Fig. 3 and 34 bundle basin water level of stage discharge relation confirmation unit, flow, average area, Height of water level parameter, corresponding hydrological model, corresponding hydrological model suitable parameters and corresponding humidity, permeability, water evaporation degree Equal corresponding relationships are independent, individual by passing through the sub-basin regimen relationship by the foundation of this corresponding relationship Unit is calculated and is managed, and complicated hydrological model calculating is individually calculated in a unit, is then loaded into each Corresponding data processing node solves practical application performance of the sub-basin regimen relationship in terms of Real Time Hydrologic monitoring is with prediction Problem improves the performance of each data processing node, especially in the hydrologic regime data of big data quantity, Real Time Hydrologic prison Survey is significantly improved with estimated performance.
Parameter training in Fig. 3 is real-time in the case of big data quantity in order to meet with stage discharge relation confirmation unit 34 Property demand, using separate unit utilize flow characteristics, establish basin section water level, water flow, water level weighting, water level respective heights Average traversal basal area, establish mapping relations between the relevant empirical value of water level etc., these relationships are separately provided and are counted It calculates, each data processing node fixed point loads the sub-basin regimen relationship of the corresponding sub-basin when needed, each The memory of data processing node directly uses, and compares traditional technology, uses separate unit list by this sub-basin regimen relationship The solely mode of setting and calculating and data processing node fixed point load, significantly improves the effect of regimen real time data processing, analysis Rate.
In Fig. 3, parameter training is from the corresponding relationship in stage discharge relation confirmation unit 34 respectively by different data Reason node is loaded, and is placed in corresponding data processing node memory, is loaded mapping relations by fixed point, is effectively saved The memory of data processing node reduces the addressing time, to improve the access speed of single node.
The characteristic with scheduling unit 35 according to basin section water flow is monitored in Fig. 3, according to the hydrologic regime data of each sub-basin section The hydrologic regime data of different sub-basin sections is dispatched to different calculate nodes and handled by situation, the meter of each data processing node Calculating to the regimen relationship of each sub-basin has dependence, number and the sub-basin due to each sub-basin using construction The unique number of keyword Key value of number of sensor carry out data distribution as key, therefore between data processing node Calculating data has correlation and succession.
Further, the sub-basin regimen relationship includes that stage discharge relation calculates and Hydro-Model Parameter Calibration Technology calibration.
Specifically, being calculated for stage discharge relation, refers to and obtain all sub-basin water levels, stream from corresponding relationship list Corresponding relationship calculation formula is measured, parameter name, constant value calculate the stage-discharge corresponding relationship of each sub-basin, Computing function can be completed one of by the following method.
(1) method one.
The function in various basins, water level calculation formula is packaged, each function package at different API (Application Programming Interface, application programming interface).Using timer, each subflow is obtained The corresponding relationship formula in domain calls corresponding A PI, obtains calculated result, and update corresponding relationship.
(2) method two.
The function in various basins, water level calculation formula is packaged, each function package at different API.It uses Quartz timed task frame, the corresponding relationship formula of each sub-basin of timing acquisition call corresponding A PI, obtain calculated result, And update corresponding relationship.
Specifically, Hydro-Model Parameter Calibration Technology calibration, refers to each sub-basin Hydro-Model Parameter Calibration Technology calibration function of start by set date, obtains Take optimized parameter as a result, result is updated to the corresponding relationship in the mapping table of memory database, wherein parameter calibration Essence is exactly first to assume one group of parameter, substitutes into model and obtains calculated result, then calculated result is compared with measured data, If calculated value is not much different with measured value, then using parameter at this time as the parameter of model;If calculated value differed with measured value compared with Greatly, then adjusting parameter substitution model recalculates, then is compared, until the error of calculated value and measured value meets certain model It encloses.
Further, the corresponding hydrological model of all sub-basins, parameter name, constant are obtained from corresponding relationship list Value carries out parameter calibration to the hydrological model of each sub-basin, completes to calculate one of by the following method:
1. method one.
Various Hydro-Model Parameter Calibration Technology calibration functions are packaged, each function package at different API.Use timing Device obtains the corresponding hydrological model of each sub-basin, calls corresponding A PI, obtains calculated result, and update corresponding relationship.
2. method two.
The function of various Hydro-Model Parameter Calibration Technology calibrations is packaged, each function package at different API.It uses Quartz timed task frame, the corresponding relationship formula of each sub-basin of timing acquisition call corresponding A PI, obtain calculated result, And update corresponding relationship.
Parameter training is from stage discharge relation confirmation unit according to different basin applicable models or according to data with existing, convection current Water level, flow, average area, height of water level parameter, corresponding hydrological model, the corresponding hydrological model of domain section cross section transverse are properly joined Several corresponding relationships is trained or adjusts.
In the present invention, in order to propose following 3 concepts and index to regimen trend progress prediction in time and judgement, The concept and index that the present invention defines, compared with traditional Flood Forecasting Model, algorithm complexity has the reduction of geometric progression, shows The efficiency and timeliness for improving flood forecasting real-time monitoring and prediction are write, flood forecasting is supervised in real time in the case of solving big data Survey the problem low with timeliness with forecasting efficiency.The concept and index include: the real-time water flow of basin section cross section transverse, basin Section cross section transverse SEA LEVEL VARIATION trend and basin section cross section transverse water table trend change rate, are described in detail individually below.
It is in one embodiment, described according to the corresponding sub-basin of the sub-basin in order to effectively monitor regimen in real time The hydrologic regime data of regimen relationship and the sub-basin, the step of obtaining the regimen result of the sub-basin include:
According to the basin of sub-basin section cross section transverse Real-time Water discharge model and the hydrologic regime data, the son is obtained The basin section real-time water flow of cross section transverse in basin.
The basin real-time water flow of section cross section transverse obtains formula are as follows:
In formula (1):
HnIt is the water level in N sections of outflow sections, W is the water flow in N sections of outflow sections, according to existing calculation formula and side Method, such as: W=A ν (W is water flow, and A is cross-sectional area, and ν is flow velocity) can calculate the value of W easily, and V is outflow section Area, Δ V be N sections outflow section average areas.
It is in one embodiment, described corresponding according to the sub-basin for more effective monitoring in real time and prediction regimen Sub-basin regimen relationship and the sub-basin hydrologic regime data, the step of obtaining the regimen result of the sub-basin includes:
According to the basin of sub-basin section cross section transverse SEA LEVEL VARIATION trend model and the hydrologic regime data, described in acquisition The basin section cross section transverse SEA LEVEL VARIATION trend of sub-basin.
Basin section cross section transverse SEA LEVEL VARIATION trend: the weighted average of N sections of outflow section SEA LEVEL VARIATIONs, formula are as follows:
In formula (2):
FtIt is to flow out the water level in section in the weighted mean of moment T, λ is empirical value relevant to water level, and t is the time, In, λ is according to the difference of each sub-basin position, according to the empirical value of the regimen of each sub-basin acquisition.
It is in one embodiment, described in order to more accurately realize the monitoring and prediction of watershed section cross section transverse regimen According to the hydrologic regime data of the sub-basin corresponding sub-basin regimen relationship and the sub-basin, the regimen of the sub-basin is obtained As a result the step of includes:
According to the basin of sub-basin section cross section transverse water table trend change rate model and the hydrologic regime data, institute is obtained State the basin section cross section transverse water table trend change rate of sub-basin.
Basin section cross section transverse water table trend change rate: the situation of change of N sections of outflow section water table trends, for water level The prediction of variation tendency.
In formula (3):
RtBasin section cross section transverse water table trend change rate, σ is constant, and t is the time, wherein σ is according to each The difference of sub-basin position, the empirical value obtained according to the regimen of each sub-basin.
Please continue to refer to Fig. 2, data processing node receives the water level information of each sub-basin cross section transverse, according to subflow Domain and water level information, from acquisition pair in the mapping table of parameter training and the memory database of stage discharge relation confirmation unit The λ value answered calculates basin section cross section transverse SEA LEVEL VARIATION trend according to formula (2) in real time.
Data processing node receives the water level information of each section, according to sub-basin and water level information, from parameter training With corresponding λ value is obtained in the mapping table of the memory database of stage discharge relation confirmation unit, it is real according to formula (3) When calculate basin section cross section transverse water table trend change rate.
Data processing node pushes basin section cross section transverse SEA LEVEL VARIATION trend, basin section cross section transverse water table trend variation To client, client passes through visual means and shows basin section cross section transverse SEA LEVEL VARIATION trend, basin the regimens such as rate result Section cross section transverse water table trend change rate.
Referring to Fig. 6, Fig. 6 is the specific flow chart of another embodiment of basin regimen monitoring method provided by the invention, The method includes the steps:
S601, sub-basin is divided.
Different sub-basins is divided into according to basin characteristic to entire basin.Each sub-basin is numbered, each subflow The sensor in domain is also numbered, and such sub-basin number just constitutes sensor with sensor number to be had in entire basin Unique number, and this number can be corresponding to the collected data of sensor between different sub-basins, each sub-basin The corresponding relationship in data can be established.
S602, sub-basin real-time data collection and hydrological model calibration parameters relationship are established.
Specifically, establishing basin, sub-basin water level, flow, average area, height of water level parameter, corresponding to hydrological model, is right Answer hydrological model suitable parameters and corresponding humidity, permeability, water evaporation degree mapping table, corresponding relationship serializing arrives In the mapping table of local disk, attached drawing 3 is corresponding relationship.
S603, sub-basin real-time data collection and basin section stage discharge relation are established.
Specifically, establishing basin, sub-basin water level, flow, average area, height of water level parameter and section stage-discharge pair It should be related to, corresponding relationship is serialized into the mapping table of local disk, and attached drawing 3 is corresponding relationship.
S604, sub-basin transverse cross-sectional profile stage discharge relation calculate.
Timing calculates each sub-basin water level, discharge relation, and updates the newest corresponding relationship of sub-basin water level, flow to originally In the mapping table of local disk.
All sub-basin water levels, flow corresponding relationship calculation formula, parameter name, constant are obtained from corresponding relationship list Value, calculates the stage-discharge corresponding relationship of each sub-basin, completes to calculate one of in the following manner:
(1) method one.
The function in various basins, water level calculation formula is packaged, each function package at different API.It uses Timer obtains the corresponding relationship formula of each sub-basin, calls corresponding A PI, obtains calculated result, and update corresponding relationship.
(2) method two.
The function in various basins, water level calculation formula is packaged, each function package at different API.It uses Quartz timed task frame, the corresponding relationship formula of each sub-basin of timing acquisition call corresponding A PI, obtain calculated result, And update corresponding relationship.
S605, Hydro-Model Parameter Calibration Technology calibration, hydrographic data output.
Specifically, each sub-basin Hydro-Model Parameter Calibration Technology calibration function of start by set date, obtain optimized parameter as a result, result Update the corresponding relationship in the mapping table of local disk.
The corresponding hydrological model of all sub-basins, parameter name, constant value, to each are obtained from corresponding relationship list The hydrological model of sub-basin carries out parameter calibration, completes to calculate one of in the following manner:
1. method one.
Various Hydro-Model Parameter Calibration Technology calibration functions are packaged, each function package at different API.Use timing Device obtains the corresponding hydrological model of each sub-basin, calls corresponding A PI, obtains calculated result, and update corresponding relationship.
2. method two.
The function of various Hydro-Model Parameter Calibration Technology calibrations is packaged, each function package at different API.It uses Quartz timed task frame, the corresponding relationship formula of each sub-basin of timing acquisition call corresponding A PI, obtain calculated result, And update corresponding relationship.
S606, real-time hydrologic data receive.
Specifically, real-time hydrologic data receives, start real time data receiving unit, receives each sensor transmission in time The information such as water level information, sensor, section are put into data receiver memory section by water level information.
S607, hydrologic regime data distribution.
Specifically, to the hydrologic regime data data of the received sub-basin according to the step S201 each sub-basin constructed The number of the sensor of number and the sub-basin is distributed, and hydrologic regime data is distributed to each different data processing section Point.Data distribution sends data using consistency Hash strategy, MD5 algorithm, SHA-1 algorithm or BKDR hash algorithm It sends, data distribution to different data processing nodes.
S608, basin section cross section transverse SEA LEVEL VARIATION trend calculate.
Basin section cross section transverse SEA LEVEL VARIATION trend calculates, and refers to that section SEA LEVEL VARIATION trend calculates.Data processing node connects The water level information for receiving the section of each sub-basin obtains corresponding λ value, root according to sub-basin, water level from mapping table According to formula (2), basin section cross section transverse SEA LEVEL VARIATION trend is calculated in real time;
S609, basin section cross section transverse water table trend change rate calculate.
Basin section cross section transverse water table trend change rate calculates, and refers to that section water table trend change rate calculates.Data processing section Point receives the water level information of each section, corresponding λ value is obtained from mapping table according to sub-basin, water level, according to public affairs Formula (3) calculates basin section cross section transverse water table trend change rate in real time.
S610, calculated result are pushed to client.
Specifically, push basin section cross section transverse SEA LEVEL VARIATION trend, basin section cross section transverse water table trend change rate arrive Client.
S611, data visualization.
Specifically, client visible basin section cross section transverse SEA LEVEL VARIATION trend, basin section cross section transverse water table trend Change rate.
In conclusion the method for the embodiment of the present invention, the timely prediction and monitoring to Flood Tendency are achieved, allows flood Prediction model can be efficiently applied in real time predict with prison application technological progress, reached flood carry out in real time effectively monitoring with The effect of prediction improves efficiency, practicability and accuracy of real-time flood prediction etc. and other effects, passes through effective reality to flood When monitoring and prediction, a possibility that significantly reducing disaster caused by flood in time, improve the ability of social fight-flood disaster reduction.
Referring to Fig. 7, in one embodiment, the present invention provides a kind of basin regimen monitoring device, described device includes:
Receiving module 71 handles the hydrologic regime data of the corresponding sub-basin of node itself, the sub-basin for receiving data It is to be divided by entire basin according to basin characteristic.
Specifically, entire basin is divided into different sub-basins according to basin characteristic.Each sub-basin is numbered, The sensor of each sub-basin acquisition hydrologic regime data is also numbered, in this way, the subflow Field Number and the sensor are compiled The unique number that sensor has in entire basin number is just constituted, and this number can be to the collected regimen of sensor Data are corresponding in different sub-basins, and the corresponding pass in data can be established according to the relationship between number, between each sub-basin System;
The hydrologic regime data of each sub-basin is after sensor acquires, data receiver memory section unit real-time perfoming regimen number According to reception, data receiver memory section receives the water level information of each sensor transmission in time, water level information, sensor, breaks Each sub-basin section such as face, which is flowed into, is put into data receiver memory section with outflow section water level information;According still further to preset algorithm Each different data processing node, the data processing node are sent by the hydrologic regime data of each sub-basin through data distribution Receive the hydrologic regime data of the corresponding sub-basin of the data processing node itself.
Module 72 is obtained, for the regimen number according to the sub-basin corresponding sub-basin regimen relationship and the sub-basin According to obtaining the regimen result of the sub-basin.
Specifically, regimen handles node according to the regimen relationship of the corresponding sub-basin of the sub-basin and the sub-basin Hydrologic regime data obtains the regimen of the sub-basin as a result, the regimen result is included at least with the next item down:
(1) basin section cross section transverse SEA LEVEL VARIATION trend meter is carried out by basin section cross section transverse SEA LEVEL VARIATION trend model It calculates;
(2) basin section cross section transverse water table trend is carried out by basin section cross section transverse water table trend change rate model to change Rate calculates;
(3) basin section cross section transverse Real-time Water flow rate calculation is carried out by basin section cross section transverse Real-time Water discharge model.
Sending module 73, for sending the regimen of the sub-basin as a result, the regimen result of the sub-basin is used for and it It is shown after the regimen result convergence of his sub-basin.
Specifically, the hydrologic regime data calculated result for the sub-basin that regimen processing node obtains is pushed, after converging To display module, display module shows the hydrologic regime data for the sub-basin being accumulated by various modes, realizes watershed water The monitoring of feelings.
In one embodiment, the acquisition module includes:
Real-time water flow acquiring unit, for according to the basin section cross section transverse Real-time Water discharge model of the sub-basin and The hydrologic regime data obtains the basin section real-time water flow of cross section transverse of the sub-basin;
SEA LEVEL VARIATION trend acquiring unit, for the basin section cross section transverse SEA LEVEL VARIATION trend mould according to the sub-basin Type and the hydrologic regime data obtain the basin section cross section transverse SEA LEVEL VARIATION trend of the sub-basin;
SEA LEVEL VARIATION trend rate acquiring unit, for being changed according to the basin section cross section transverse water table trend of the sub-basin Rate model and the hydrologic regime data obtain the basin section cross section transverse water table trend change rate of the sub-basin;
Described device further include:
Loading module is pinpointed, for loading the sub-basin regimen of the corresponding sub-basin of the data processing node itself Relationship, the sub-basin regimen relationship are obtained from memory database;
Sub-basin regimen relationship update module is obtained, the sub-basin regimen for updating according to predetermined period load is closed System;The sub-basin regimen relationship of the update is according to predetermined period, according to the regimen of parameter preset and the sub-basin Corresponding relationship adjust automatically between data obtains.
According to the basin of sub-basin section cross section transverse Real-time Water discharge model and the hydrologic regime data, the son is obtained The basin section real-time water flow of cross section transverse in basin.
The basin real-time water flow of section cross section transverse obtains formula are as follows:
In formula (1):
HnIt is the water level in N sections of outflow sections, W is the water flow in N sections of outflow sections, according to existing calculation formula and side Method, can calculate the value of W easily, and Δ V is the average area in N sections of outflow sections.
According to the basin of sub-basin section cross section transverse SEA LEVEL VARIATION trend model and the hydrologic regime data, described in acquisition The basin section cross section transverse SEA LEVEL VARIATION trend of sub-basin.
Basin section cross section transverse SEA LEVEL VARIATION trend: the weighted average of N sections of outflow section SEA LEVEL VARIATIONs, formula are as follows:
In formula (2):
FtIt is to flow out the water level in section in the weighted mean of moment T, λ is empirical value relevant to water level, and t is the time, In, λ is according to the difference of each sub-basin position, according to the empirical value of the regimen of each sub-basin acquisition.
According to the basin of sub-basin section cross section transverse water table trend change rate model and the hydrologic regime data, institute is obtained State the basin section cross section transverse water table trend change rate of sub-basin.
Basin section cross section transverse water table trend change rate: the situation of change of N sections of outflow section water table trends, for water level The prediction of variation tendency.
In formula (3):
RtBasin section cross section transverse water table trend change rate, σ is constant, and t is the time, wherein σ is according to each The difference of sub-basin position, the empirical value obtained according to the regimen of each sub-basin.
Specifically, using basin characteristic, establish the section of each sub-basin section cross section transverse, water level, flow, average area, Height of water level parameter, corresponding hydrological model, corresponding hydrological model suitable parameters and corresponding humidity, permeability, water evaporation degree Deng corresponding relationship, corresponding relationship can be constantly serialized in system operation to disk, in system operation, each section of correspondence Relationship is completed by individual parameter training and stage discharge relation confirmation unit, meanwhile, water level, flow, average area, water level are high Degree parameter, corresponding hydrological model, corresponding hydrological model suitable parameters and corresponding humidity, permeability, water evaporation degree parameter can With rule of thumb manual setting.Parameter training and the timing of stage discharge relation confirmation unit execute, and periodically calculate each sub-basin Water level, discharge relation, corresponding relationship timing updates, and updates the newest corresponding relationship of sub-basin water level, flow to memory database Mapping table in.Parameter training and the water level of stage discharge relation confirmation unit completion, flow, average area, water level are high It is corresponding to spend parameter, corresponding hydrological model, corresponding hydrological model suitable parameters and corresponding humidity, permeability, water evaporation degree etc. Relationship is serialized local disk, and the corresponding hydrological model memory in each data processing calculate node that timely updates Data, the data processing node only pinpoint the subflow for loading the corresponding sub-basin of the data processing node itself Domain regimen relationship.
In one embodiment, the present invention also provides a kind of server, the server includes memory and processor, The computer program run by the processor is stored on the memory, wherein the processor executes the computer The step of the method is realized when program.
Those of ordinary skill in the art will appreciate that realizing all or part of the process in above-described embodiment method, being can be with Relevant hardware is instructed to complete by computer program, described program can be stored in a computer-readable storage medium In, in the embodiment of the present invention, which be can be stored in the storage medium of computer system, and by the computer system At least one processor executes, and includes the process such as the embodiment of above-mentioned each method with realization.Wherein, the storage medium can be Magnetic disk, CD, read-only memory (Read-Only Memory, ROM) or random access memory (Random Access Memory, RAM) etc..
Each technical characteristic of embodiment described above can be combined arbitrarily, for simplicity of description, not to above-mentioned reality It applies all possible combination of each technical characteristic in example to be all described, as long as however, the combination of these technical characteristics is not deposited In contradiction, all should be considered as described in this specification.
The embodiments described above only express several embodiments of the present invention, and the description thereof is more specific and detailed, but simultaneously It cannot therefore be construed as limiting the scope of the patent.It should be pointed out that coming for those of ordinary skill in the art It says, without departing from the inventive concept of the premise, several deformations and control can also be made, these belong to protection of the invention Range.Therefore, the scope of protection of the patent of the invention shall be subject to the appended claims.

Claims (14)

1. a kind of basin regimen monitoring method, which comprises
The hydrologic regime data of the corresponding sub-basin of data processing node itself is received, the sub-basin is by entire basin according to basin Characteristic divides;
According to the hydrologic regime data of the sub-basin corresponding sub-basin regimen relationship and the sub-basin, the sub-basin is obtained Regimen result;
The regimen of the sub-basin is sent as a result, the regimen result of the sub-basin is used to converge with the regimen result of other sub-basins It is shown after poly-.
2. the method according to claim 1, wherein the hydrologic regime data is the collection point according to the sub-basin Keyword distribute according to preset algorithm;The keyword is constructed according to preset rules.
3. the method according to claim 1, wherein described close according to the corresponding sub-basin regimen of the sub-basin Before the step of being the hydrologic regime data with the sub-basin, obtaining the regimen result of the sub-basin further include:
The sub-basin regimen relationship of the corresponding sub-basin of the data processing node itself is loaded, the sub-basin regimen is closed System obtains from memory database.
4. according to the method described in claim 3, it is characterized in that, the corresponding institute of the load data processing node itself The sub-basin regimen relationship of sub-basin is stated, the sub-basin regimen relationship is also wrapped after the step of acquisition in memory database It includes:
The sub-basin regimen relationship updated according to predetermined period load;The sub-basin regimen relationship of the update is According to predetermined period, obtained according to the corresponding relationship adjust automatically between parameter preset and the hydrologic regime data of the sub-basin.
5. the method according to claim 1, wherein described close according to the corresponding sub-basin regimen of the sub-basin The hydrologic regime data of system and the sub-basin, the step of obtaining the regimen result of the sub-basin include:
According to the basin of sub-basin section cross section transverse Real-time Water discharge model and the hydrologic regime data, the sub-basin is obtained Basin section the real-time water flow of cross section transverse.
6. the method according to claim 1, wherein described close according to the corresponding sub-basin regimen of the sub-basin The hydrologic regime data of system and the sub-basin, the step of obtaining the regimen result of the sub-basin include:
According to the basin of sub-basin section cross section transverse SEA LEVEL VARIATION trend model and the hydrologic regime data, the subflow is obtained The basin section cross section transverse SEA LEVEL VARIATION trend in domain.
7. the method according to claim 1, wherein described close according to the corresponding sub-basin regimen of the sub-basin The hydrologic regime data of system and the sub-basin, the step of obtaining the regimen result of the sub-basin include:
According to the basin of sub-basin section cross section transverse water table trend change rate model and the hydrologic regime data, the son is obtained The basin section cross section transverse water table trend change rate in basin.
8. a kind of basin regimen monitoring device, which is characterized in that described device includes:
Receiving module handles the hydrologic regime data of the corresponding sub-basin of node itself for receiving data, and the sub-basin is by whole A basin is divided according to basin characteristic;
Module is obtained to obtain for the hydrologic regime data according to the sub-basin corresponding sub-basin regimen relationship and the sub-basin Take the regimen result of the sub-basin;
Sending module, for sending the regimen of the sub-basin as a result, the regimen result of the sub-basin is used for and other subflows It is shown after the regimen result convergence in domain.
9. device according to claim 8, which is characterized in that the acquisition module includes:
Real-time water flow acquiring unit, for according to the basin section cross section transverse Real-time Water discharge model of the sub-basin and described Hydrologic regime data obtains the basin section real-time water flow of cross section transverse of the sub-basin;
SEA LEVEL VARIATION trend acquiring unit, for according to the basin of sub-basin section cross section transverse SEA LEVEL VARIATION trend model and The hydrologic regime data obtains the basin section cross section transverse SEA LEVEL VARIATION trend of the sub-basin;
SEA LEVEL VARIATION trend rate acquiring unit, for the basin section cross section transverse water table trend change rate mould according to the sub-basin Type and the hydrologic regime data obtain the basin section cross section transverse water table trend change rate of the sub-basin;
Described device further include:
Loading module, for loading the sub-basin regimen relationship of the corresponding sub-basin of the data processing node itself, institute Sub-basin regimen relationship is stated to obtain from memory database;
Sub-basin regimen relationship update module is obtained, the sub-basin regimen relationship for updating according to predetermined period load; The sub-basin regimen relationship of the update is according to predetermined period, according to the regimen number of parameter preset and the sub-basin Corresponding relationship adjust automatically between obtains.
10. a kind of basin water regime monitoring system, which is characterized in that the system comprises:
Hydrologic data collection unit, the hydrologic data collection equipment for each sub-basin acquire the water of the corresponding sub-basin Feelings data, the sub-basin are to be divided by entire basin according to basin characteristic;
Hydrologic regime data processing unit is used for each data processing node, according to the corresponding sub-basin regimen relationship of the sub-basin With the hydrologic regime data of the sub-basin, the regimen result of the sub-basin is obtained;
Hydrologic regime data display unit, the regimen for each sub-basin after converging is as the result is shown.
11. system according to claim 10, which is characterized in that the hydrologic regime data processing unit is included at least with next :
Real-time water flow obtains subelement, for according to the basin section cross section transverse Real-time Water discharge model of the sub-basin and institute Hydrologic regime data is stated, the basin section real-time water flow of cross section transverse of the sub-basin is obtained;
SEA LEVEL VARIATION trend obtains subelement, for the basin section cross section transverse SEA LEVEL VARIATION trend model according to the sub-basin With the hydrologic regime data, the basin section cross section transverse SEA LEVEL VARIATION trend of the sub-basin is obtained;
SEA LEVEL VARIATION trend rate obtains subelement, for the basin section cross section transverse water table trend change rate according to the sub-basin Model and the hydrologic regime data obtain the basin section cross section transverse water table trend change rate of the sub-basin.
12. system according to claim 10, which is characterized in that the system also includes:
Hydrologic regime data Dispatching Unit, for obtaining the hydrologic regime data of the sub-basin from data receiver memory section, according to default The hydrologic regime data of received each sub-basin is distributed to the corresponding data processing node of the sub-basin by algorithm.
13. system according to claim 10, which is characterized in that the system also includes:
Sub-basin regimen relation unit, for according to the basin characteristic of each sub-basin, establishing each institute in memory database The sub-basin regimen relationship of sub-basin is stated, and according to the hydrologic regime data of each sub-basin, it is corresponding to update the sub-basin Sub-basin regimen relationship.
14. a kind of server, the server includes memory and processor, is stored on the memory by the processing The computer program of device operation, which is characterized in that the processor realizes that claim 1-7 appoints when executing the computer program The step of one the method.
CN201710681308.0A 2017-08-10 2017-08-10 Basin regimen monitoring method, device, system and server Pending CN109389540A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710681308.0A CN109389540A (en) 2017-08-10 2017-08-10 Basin regimen monitoring method, device, system and server

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710681308.0A CN109389540A (en) 2017-08-10 2017-08-10 Basin regimen monitoring method, device, system and server

Publications (1)

Publication Number Publication Date
CN109389540A true CN109389540A (en) 2019-02-26

Family

ID=65415493

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710681308.0A Pending CN109389540A (en) 2017-08-10 2017-08-10 Basin regimen monitoring method, device, system and server

Country Status (1)

Country Link
CN (1) CN109389540A (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111522266A (en) * 2020-04-03 2020-08-11 常州农水云服信息科技有限公司 Water regime monitoring integration system
CN113739879A (en) * 2021-10-14 2021-12-03 四创科技有限公司 Method and terminal for determining water measuring rate of open channel
CN114139802A (en) * 2021-11-30 2022-03-04 贵州乌江水电开发有限责任公司 Real-time optimization scheduling method based on basin water regime change trend analysis model
CN117969789A (en) * 2024-03-29 2024-05-03 山东省地矿工程勘察院(山东省地质矿产勘查开发局八〇一水文地质工程地质大队) Water regime prediction method and monitoring system for underground water resource

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2007011582A (en) * 2005-06-29 2007-01-18 Information & Science Techno-System Co Ltd Flood forecasting system
CN104298841A (en) * 2013-07-16 2015-01-21 杭州贵仁科技有限公司 Flood forecasting method and system based on historical data
CN106446359A (en) * 2016-09-07 2017-02-22 河海大学 Stream type big data processing mode-based rainfall runoff prediction calculation method

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2007011582A (en) * 2005-06-29 2007-01-18 Information & Science Techno-System Co Ltd Flood forecasting system
CN104298841A (en) * 2013-07-16 2015-01-21 杭州贵仁科技有限公司 Flood forecasting method and system based on historical data
CN106446359A (en) * 2016-09-07 2017-02-22 河海大学 Stream type big data processing mode-based rainfall runoff prediction calculation method

Non-Patent Citations (5)

* Cited by examiner, † Cited by third party
Title
孙映宏等: "山前小流域水文―水力学耦合洪水预报研究", 《水利水电技术》 *
李兰等: "基于GIS的LLCHEN-A分布式水文模型与水资源预测", 《武汉大学学报(工学版)》 *
陈会峰: "河南省山丘区小流域洪水预报系统研究及应用", 《人民黄河》 *
陈鸣等: "东风发电厂水情自动测报系统中的洪水预报", 《贵州水力发电》 *
陶顶峰: "霍童溪流域水库群防洪服务信息系统", 《水利信息化》 *

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111522266A (en) * 2020-04-03 2020-08-11 常州农水云服信息科技有限公司 Water regime monitoring integration system
CN113739879A (en) * 2021-10-14 2021-12-03 四创科技有限公司 Method and terminal for determining water measuring rate of open channel
CN113739879B (en) * 2021-10-14 2024-03-26 四创科技有限公司 Method and terminal for measuring water rate of open channel
CN114139802A (en) * 2021-11-30 2022-03-04 贵州乌江水电开发有限责任公司 Real-time optimization scheduling method based on basin water regime change trend analysis model
CN114139802B (en) * 2021-11-30 2022-12-06 贵州乌江水电开发有限责任公司 Real-time optimization scheduling method based on basin water regime change trend analysis model
CN117969789A (en) * 2024-03-29 2024-05-03 山东省地矿工程勘察院(山东省地质矿产勘查开发局八〇一水文地质工程地质大队) Water regime prediction method and monitoring system for underground water resource

Similar Documents

Publication Publication Date Title
CN109389540A (en) Basin regimen monitoring method, device, system and server
Yao et al. A novel reinforcement learning algorithm for virtual network embedding
Gao et al. Federated sensing: Edge-cloud elastic collaborative learning for intelligent sensing
Thiemichen et al. Bayesian exponential random graph models with nodal random effects
CN107832129A (en) A kind of dynamic task scheduling optimization method of Based on Distributed stream calculation system
CN112866059A (en) Nondestructive network performance testing method and device based on artificial intelligence application
CN107786388A (en) A kind of abnormality detection system based on large scale network flow data
CN105743763B (en) A kind of mapping method of virtual network based on study and reasoning
CN110472725A (en) A kind of balance binaryzation neural network quantization method and system
Zhou et al. A QoS preference-based algorithm for service composition in service-oriented network
CN106933946A (en) A kind of big data management method and system based on mobile terminal
CN110457128A (en) Method for allocating tasks, device and system
Chen et al. Heterogeneous semi-asynchronous federated learning in Internet of Things: A multi-armed bandit approach
Cen et al. Developing a disaster surveillance system based on wireless sensor network and cloud platform
CN110196951A (en) User matching method and equipment
JP2020003848A (en) Distributed deep learning system, distributed deep learning method and computing interconnect apparatus
Yang et al. Trust-based scheduling strategy for cloud workflow applications
CN115002031B (en) Federal learning network flow classification model training method, model and classification method based on unbalanced data distribution
JP2022076274A (en) Model learning method, model learning system, server device, and computer program
JP2021170334A (en) Method and system for retrieving keyword on knowledge graph
Bogdanović et al. One solution to the system architecture for the acquisition of data obtained by monitoring computer users
Pei et al. Traveling waves of a delayed epidemic model with spatial diffusion
Mahembe et al. A Modified UDP for Federated Learning Packet Transmissions
Wang et al. Online scheduling of coflows by attention-empowered scalable deep reinforcement learning
Preetham et al. Resource provisioning in cloud using arima and lstm technique

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
WD01 Invention patent application deemed withdrawn after publication
WD01 Invention patent application deemed withdrawn after publication

Application publication date: 20190226