CN104134106A - Water conservancy intelligent decision supporting system and water conservancy intelligent decision method - Google Patents
Water conservancy intelligent decision supporting system and water conservancy intelligent decision method Download PDFInfo
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- CN104134106A CN104134106A CN201310162467.1A CN201310162467A CN104134106A CN 104134106 A CN104134106 A CN 104134106A CN 201310162467 A CN201310162467 A CN 201310162467A CN 104134106 A CN104134106 A CN 104134106A
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Abstract
The invention discloses a water conservancy intelligent decision supporting system and a water conservancy intelligent decision method. The water conservancy intelligent decision supporting system comprises a data collecting module, a data transmission module, a database server and user computers, wherein the data transmission module is connected with the data collecting module and the database server through data lines; the user computers are connected with the database server through a wired or wireless network; the data collecting module collects in-site water conservancy information and carries out analog-to-digital conversion to obtain water conservancy data of digital signals; the data transmission module transmits the water conservancy data from the data collecting module to the database server; the database server stores the water conservancy data and provides the water conservancy data for the user computers through the network; and the user computers realize the water conservancy intelligent decision according to the water conservancy data. The water conservancy intelligent decision method comprises the steps of data collection, data transmission, database service and intelligent decision making. When the system and the method provided by the invention are adopted, the water conservancy decision is more objective, accurate and timely.
Description
Technical field
The invention belongs to Intelligent Decision Technology field, particularly a kind of water conservancy intelligent decision support system and Using Intelligent Decision-making Method based on analytical hierarchy process and gray system theory.
Background technology
Water conservancy is as the intensive industry of information, not only bear the disposition and management work of making water resource, also bear and do to provide valuable hydrology and water conservancy information to society, as rainfall, flood, typhoon, mountain region disaster and tidewater etc., these information Hai Wei government and administration of water conservancy decision-making section carry out able to resisting flood and drought, water resources development and utilization and water resources management simultaneously provides decision support.
For processing in time a large amount of water conservancy information, Chinese invention patent application discloses civilized book " a kind of plateform system that integrated and aggregation of data is processed for water conservancy information " (application number: 201110001478.2, open day: 2011.05.18) comprise supporting layer, resource layer, comprehensive integration layer and the client layer connecting successively, for all kinds of isomery water conservancy data, carry out comprehensive integration.This system only limits to the integrated of water conservancy information, does not relate to crucial data acquisition and comprehensively judges with regard to data, does not change in water resources projects decision-making only knowledge and the traditional experience with the past and makes drawback unilateral, subjective decision.
Therefore the problem that, prior art exists is: water conservancy decision-making subjectivity is strong, fault rate is high, not in time.
Summary of the invention
The object of the present invention is to provide a kind of water conservancy intelligent decision support system, make water conservancy decision-making more objective, accurate, timely.
Another object of the present invention is to provide a kind of water conservancy Using Intelligent Decision-making Method.
The technical solution that realizes the object of the invention is: a kind of water conservancy intelligent decision support system, comprise data acquisition module, data transmission module, database server and user computer, described data transmission module is connected with database server with data acquisition module by data line, and described user computer is connected by wired or wireless network and database server; Described data acquisition module, for collection site water conservancy information, and carries out analog to digital conversion, obtains the water conservancy data of digital signal; Described data transmission module, for passing to database server by water conservancy data from data acquisition module; Described database server, for storing and providing water conservancy data by network to user computer; Described user computer, for realizing water conservancy intelligent decision according to water conservancy data.
Described data acquisition module comprises data collecting instrument and the sensor and the Multifunctional voltmeters that are attached thereto.
Described data transmission module is asynchronous serial half-duplex RS 485 communication interfaces.
The technical solution that realizes another object of the present invention is: a kind of water conservancy Using Intelligent Decision-making Method, comprises the steps:
41) data acquisition: utilize the on-the-spot water conservancy information of data collecting module collected, and carry out analog to digital conversion, obtain the water conservancy data of digital signal;
42) data transmission: water conservancy data are passed to database server from data acquisition module;
43) database service: storage water conservancy data, and to user computer, provide water conservancy data by network;
44) intelligent decision: utilize user computer, realize intelligent decision according to water conservancy data.
The present invention compared with prior art, its remarkable advantage:
1, decision-making is timely: by field data, automatically gather, automatically process and the auto answer of decision-making, intelligent decision result is delivered to hardware automatically, has guaranteed the promptness of water conservancy decision-making;
2, decision-making is accurate, objective: the complementation combination by master, objective making decision method, improved the accuracy rate of decision-making, and the possibility of decision-making error is dropped to minimum;
3, calculated amount is little, reduces hardware system burden:.
Below in conjunction with accompanying drawing, the present invention is described in further detail.
Accompanying drawing explanation
Fig. 1 is the structured flowchart of water conservancy intelligent decision support system of the present invention.
Fig. 2 is the structure principle chart of data acquisition module in Fig. 1.
Fig. 3 is the main flow chart of water conservancy Using Intelligent Decision-making Method of the present invention.
Fig. 4 is the process flow diagram of intelligent decision step in Fig. 3.
Fig. 5 is the process flow diagram of grey relational grade analysis step in Fig. 4.
Fig. 6 is water conservancy early warning level configuration diagram.
Embodiment
As shown in Figure 1, water conservancy intelligent decision support system of the present invention comprises data acquisition module, data transmission module, database server and user computer, described data transmission module is connected with database server with data acquisition module by data line, and described user computer is connected by wired or wireless network and database server.
Described data acquisition module, for collection site water conservancy information, and carries out analog to digital conversion, obtains the water conservancy data of digital signal;
Described data acquisition module is comprised of data collecting instrument and the sensor and the Multifunctional voltmeters that are attached thereto, as shown in Figure 2.Data collecting instrument comprises and grinds magnificent module and digital voltmeter.
Described data transmission module, for passing to database server by water conservancy data from data acquisition module.
Data transmission module is asynchronous serial half-duplex RS 485 communication interfaces.Also can adopt other to there is the module of data transmission.
Described database server, for storing and providing water conservancy data by network to user computer.
Described user computer, for realizing water conservancy intelligent decision according to water conservancy data.
As shown in Figure 3, water conservancy Using Intelligent Decision-making Method of the present invention, comprises the steps:
41) data acquisition: utilize the on-the-spot water conservancy information of data collecting module collected, and carry out analog to digital conversion, obtain the water conservancy data of digital signal;
42) data transmission: water conservancy data are passed to database server from data acquisition module;
43) database service: storage water conservancy data, and to user computer, provide water conservancy data by network;
44) intelligent decision: utilize user computer, realize water conservancy intelligent decision according to water conservancy data.
As shown in Figure 4, intelligent decision step (44) is specially:
51) from water conservancy extracting data evaluation factor;
52) set up the comparator matrix of different schemes under evaluation attribute and each attribute;
53) according to comparator matrix, calculate the relative weighting of each attribute and the relative assessed value of each scheme;
54) each relative weighting is sorted, obtain overall weight order;
55) each subsystem is carried out to grey relational grade analysis, obtain grey weight order;
56) similarities and differences of more overall weight order and grey weight order, as identical, finish; As difference, return to step (51).
As shown in Figure 5, each subsystem being carried out to grey relational grade analysis step (55) is specially:
61) by raw data regularization;
62) specified value column count difference sequence;
63) ask maximum poor and lowest difference;
64) calculate grey incidence coefficient;
65) calculate grey relational grade;
66) according to grey relational grade, sort.
As mentioned above, intelligent decision module is carried out decision-making index evaluation by AHP method and gray system theory from master, objective two aspects, makes every effort to acquired results and true approaching as much as possible.
AHP scope applicatory is very wide, can think so long as the situation that need to make a policy can be carried out analyze and solve with analytical hierarchy process substantially.
Utilize AHP method, according to characteristic types such as nature and engineering characteristics, hydrological and meteorological characteristics and flood features, built the water conservancy early warning level framework map as Fig. 6, and according to decision maker's subjective demand, this level framework map has been carried out to the analysis of AHP method.Like this, just, obtained the priority of the index that affects decision-making of using AHP method gained.
According to AHP methods analyst, can obtain affecting the overall weight sequence of the index of decision-making, but due to AHP based on be that decision maker's subjectivity is for the view of decision problem all the time, so need to use gray system theory to analyze for the weight information obtaining, further confirm correctness and the efficiency of decision-making.The topmost concept of gray system theory is exactly to excavate the potential relation between different characteristic attribute in limited information.So gray system theory is carried out grey relational grade analysis to each subsystem, by such mode by the quantificational description that is related between each subsystem (or element).The basic process of grey relational grade is referring to Fig. 5.
According to gray system theory, verify, it is basically identical that weight sequence and the AHP method obtaining obtains, and illustrates that brainstrust utilizes the subjective judgement of AHP close with objective fact relation.
Like this, by AHP method, be combined with the complementation of gray system theory, just formed more complete intelligent decision system, from master, objective two aspects, reflect faithfully in true water conservancy decision-making as far as possible comprehensively,, the priority of each influence index, to have assisted realistic as far as possible " wisdom " decision-making.
Claims (6)
1. a water conservancy intelligent decision support system, it is characterized in that: comprise data acquisition module, data transmission module, database server and user computer, described data transmission module is connected with database server with data acquisition module by data line, and described user computer is connected by wired or wireless network and database server;
Described data acquisition module, for collection site water conservancy information, and carries out analog to digital conversion, obtains the water conservancy data of digital signal;
Described data transmission module, for passing to database server by water conservancy data from data acquisition module;
Described database server, for storing and providing water conservancy data by network to user computer;
Described user computer, for realizing water conservancy intelligent decision according to water conservancy data.
2. water conservancy intelligent decision support system according to claim 1, is characterized in that: described data acquisition module comprises data collecting instrument and the sensor and the Multifunctional voltmeters that are attached thereto.
3. water conservancy intelligent decision support system according to claim 1, is characterized in that: described data transmission module is asynchronous serial half-duplex RS 485 communication interfaces.
4. a water conservancy Using Intelligent Decision-making Method, is characterized in that, comprises the steps:
41) data acquisition: utilize the on-the-spot water conservancy information of data collecting module collected, and carry out analog to digital conversion, obtain the water conservancy data of digital signal;
42) data transmission: water conservancy data are passed to database server from data acquisition module;
43) database service: storage water conservancy data, and to user computer, provide water conservancy data by network;
44) intelligent decision: utilize user computer, realize intelligent decision according to water conservancy data.
5. water conservancy Using Intelligent Decision-making Method according to claim 4, is characterized in that, described intelligent decision step (d) is specially:
51) from water conservancy extracting data evaluation factor;
52) set up the comparator matrix of different schemes under evaluation attribute and each attribute;
53) according to comparator matrix, calculate the relative weighting of each attribute and the relative assessed value of each scheme;
54) each relative weighting is sorted, obtain overall weight order;
55) each subsystem is carried out to grey relational grade analysis, obtain grey weight order;
56) similarities and differences of more overall weight order and grey weight order, as identical, finish; As difference, return to step (51).
6. water conservancy Using Intelligent Decision-making Method according to claim 5, is characterized in that, describedly each subsystem is carried out to grey relational grade analysis step (55) is specially:
61) by raw data regularization;
62) specified value column count difference sequence;
63) ask maximum poor and lowest difference;
64) calculate grey incidence coefficient;
65) calculate grey relational grade;
66) according to grey relational grade, sort.
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| CN105260948A (en) * | 2015-10-17 | 2016-01-20 | 杭州电子科技大学 | City water supply system daily plan scheduling decision-making method |
| CN106776907A (en) * | 2016-11-30 | 2017-05-31 | 江苏省邮电规划设计院有限责任公司 | A kind of smart city mass data collection optimization method |
| CN110413668A (en) * | 2019-06-19 | 2019-11-05 | 成都万江港利科技股份有限公司 | A kind of Water Conservancy Information data intelligence processing system |
| CN111142173A (en) * | 2018-11-02 | 2020-05-12 | 江西斯源科技有限公司 | ZigBee-based natural environment monitoring device for high-speed train operation |
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN105260948A (en) * | 2015-10-17 | 2016-01-20 | 杭州电子科技大学 | City water supply system daily plan scheduling decision-making method |
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| CN111142173A (en) * | 2018-11-02 | 2020-05-12 | 江西斯源科技有限公司 | ZigBee-based natural environment monitoring device for high-speed train operation |
| CN110413668A (en) * | 2019-06-19 | 2019-11-05 | 成都万江港利科技股份有限公司 | A kind of Water Conservancy Information data intelligence processing system |
| CN110413668B (en) * | 2019-06-19 | 2023-08-11 | 成都万江港利科技股份有限公司 | Intelligent processing system for water conservancy informationized data |
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