CN110009542A - A kind of ecological environment supervising system and monitoring and managing method with big data - Google Patents
A kind of ecological environment supervising system and monitoring and managing method with big data Download PDFInfo
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- CN110009542A CN110009542A CN201910250017.5A CN201910250017A CN110009542A CN 110009542 A CN110009542 A CN 110009542A CN 201910250017 A CN201910250017 A CN 201910250017A CN 110009542 A CN110009542 A CN 110009542A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/25—Fusion techniques
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/25—Fusion techniques
- G06F18/253—Fusion techniques of extracted features
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
Abstract
Invention belongs to computer application technology more particularly to a kind of ecological environment supervising system and monitoring and managing method with big data, establishes distance to go data-interface, adjusts data-interface according to data volume；The data of data-interface are received, data fusion method is carried out；With fuzzy nearness fusion method, the data of wherein careless mistake are rejected, monitoring result is obtained.The present invention utilizes big data technology to ensure that the compatibility and stable transmission data of data-interface effectively to ecological environment real-time monitoring and using dynamic distance to go data-interface；The present invention carries out pre-corrected using QPSO algorithm to upper layer using data processor and database, is conducive to obtain accurate real time data, effectively be modified to received real time data, avoids influence of the dynamic error to detection data.
Description
Technical field
The invention belongs to field of locating technology more particularly to a kind of ecological environment supervising systems and supervision with big data
Method.
Background technique
With the rapid development of our country's economy, people's production and living are on the rise to the destruction of environment and ecology, and environment is dirty
Dye accident frequently occurs.Environmental monitoring is tight in current environment pollution as one of control and the main means curbed environmental pollution
Under the situation opened, irreplaceable role is played.Due to the complexity of the environment such as China ground, atmosphere and water, site is detected
Dispersibility, be only not to be able to satisfy macroscopic view and dynamic environmental monitoring demand by traditional detection technique.And the prior art cannot
The accuracy for guaranteeing detection data information, reduces the running precision of system；It in the prior art cannot be effectively to received real-time number
According to being modified, influence of the dynamic error to detection data, to influence monitoring result.
The prior art has the following problems:
(1) due to air quality monitoring point limited amount, it is difficult to pollution sources precise positioning；
(2) surprise check of government staff's assault is at high cost, and success rate is low；
(3) remote sensing satellite monitoring technology precision is low, can not handle again in face of the higher mass data of precision.
(4) prior art cannot be guaranteed the accuracy of detection data information, reduce the running precision of system；In the prior art
Effectively received real time data cannot be modified, influence of the dynamic error to detection data, to influence monitoring result.
Summary of the invention
The purpose of the present invention is to provide a kind of ecological environment supervising system and monitoring and managing method with big data.
It is described with big data the invention is realized in this way a kind of Protection of ecological method with big data
Ecological ring monitoring and managing method establishes distance to go data-interface, adjusts data-interface according to data volume；The data of data-interface are received,
Carry out data fusion method；
With fuzzy nearness fusion method, the data of careless mistake are rejected, monitoring result is obtained.
Further, the ecological ring monitoring and managing method with big data specifically includes:
Step 1 establishes distance to go data-interface, adjusts data-interface according to data volume, receives remote sensing satellite, ground
The real time information of air quality monitoring point, Household Air Purifier, monitoring water environment point, land quality monitoring point；
Step 2 carries out data Layer, characteristic layer and the fusion treatment of decision-making level to the real time data of data interface and obtains
Obtain the data information tentatively merged；
Step 3 is rejected careless mistake data information using data processor, while being melted with the data based on fuzzy nearness
Hop algorithm carries out second to the data information tentatively merged and merges；
Step 4 carries out pre-corrected using QPSO algorithm to upper layer using data processor and database, is carrying out third time
Data fusion obtains final process result.
Further, in the step 1, data-interface comes from remote sensing satellite, ground for receiving real time information, information source
Air quality monitoring point, Household Air Purifier, monitoring water environment point, land quality monitoring point；
In the step 2, data fusion includes: data Layer fusion, Feature-level fusion, Decision-level fusion；
Data Layer fusion carries out fusion treatment using central fusion system, and the information from data-interface is packaged
Processing；
Feature-level fusion carries out feature extraction, information comprehensive analysis processing, completes data classification in real time, i.e., by same ecology
Environmental Information encapsulation is a data packet；
Decision-level fusion by association process carry out Decision-level fusion judgement, by ecological environmental pollution degree be classified with
Amount of compressed data, pollution level classification are as follows: up to standard, not up to standard, serious not up to standard, data exception.
Further, step 3 carries out in second of fusion the data information tentatively merged using data anastomosing algorithm, if
Ap、AqIt is P and q-th of fuzzy quantity respectively, defines S=S (Ap, Aq), if s meets:
1)0≤S≤1；
2)S(Ap, Ap)=1, S (Ap, φ)=0；
3)S(Ap, Aq)=S (Aq, Ap)；
4) whenWhen, there is S (Ap, Aq) > S (Ap, As)；
Then S is referred to as the approach degree of Ap, Aq, is the degree of closeness of Ap, Aq.
Further, if the weight of i-th of data is ri, then r is enabledi=S (Ai, A0), S (Ai, A0) use lattice close-degree；
Wherein inner product are as follows:
Apposition are as follows:
It is normalized, obtains the relative weighting between each data:
According to resulting each data weighting, final result is obtained using data fusion:
Further, step 4 is carried out in pre-corrected using QPSO algorithm, if y (k) is the output of real time data, r (k) is
Reference model output, z (k) are compensation output, and w is compensator coefficient, and m, n are the order of compensator；
Then compensate output are as follows:
Z (k)=A (z-1)y(k)-B(z-1)z(k)+v(k)
It is zero that v (k), which is mean value, in formula, and variance isThe uncorrelated random noise of Normal Distribution, and:
A(z-1)=A0+A1z-1…+AnZ-n
B(z-1)=B1z-1+…+Bmz-m, m≤n
The deviation of z (k) and r (k) are as follows:
E (k)=r (k)-z (k)
Mean square error and are as follows:
The weight vector representation of compensating filter are as follows:
The Protection of ecological program with big data that another object of the present invention is to provide a kind of is applied to terminal,
The Protection of ecological program with big data realizes the life described in claim 1~6 any one with big data
State environment monitoring and managing method.
Another object of the present invention is to provide a kind of terminal, the terminal, which is carried, realizes the ecology with big data
The server of environment monitoring and managing method.
Another object of the present invention is to provide a kind of computer readable storage mediums, including instruction, when it is in computer
When upper operation, so that computer executes the Protection of ecological method with big data.
Another object of the present invention is to provide the tools of a kind of Protection of ecological method described in implementation with big data
There is the ecological environment supervising system of big data, the ecological environment supervising system with big data includes: node, data fusion
Interface, data processor, data fusion module；
The node is connected by air interface with data fusion interface；
The data fusion interface is connected by data parallel port with data processor；
The data processor is connected with data fusion module by data parallel port；
The node 1 is remote sensing satellite and ground monitoring point, is responsible for collection and delivery environmental information；
The data fusion interface is used to receive the data that each node is sent, and is tentatively merged；
The data processor rejects the data of wherein careless mistake for executing fuzzy nearness fusion method；
The data fusion module is used to carry out pre-corrected and data fusion to upper layer, obtains final process result；
Processor and database are integrated in the data fusion module 4.
Advantages of the present invention and good effect are as follows:
In ecological ring monitoring and managing method provided by the invention with big data, distance to go data-interface is established, according to number
According to amount adjust data-interface, receive remote sensing satellite, ground air quality-monitoring point, Household Air Purifier, monitoring water environment point,
The real time information of land quality monitoring point；Data Layer, characteristic layer and decision-making level are carried out to the real time data of data interface
Fusion treatment obtains the data information tentatively merged；Careless mistake data information is rejected using data processor, while with based on mould
The data anastomosing algorithm for pasting approach degree carries out second to the data information tentatively merged and merges；Utilize data processor and data
Library carries out pre-corrected using QPSO algorithm to upper layer, is carrying out third time data fusion, is obtaining final process result.Utilize big number
According to technology, effectively to ecological environment real-time monitoring；Using dynamic distance to go data-interface, the compatibility of data-interface ensure that
With stable transmission data.
The present invention is using data processor with the data anastomosing algorithm based on fuzzy nearness to the data tentatively merged
Information carries out second and merges, and advantageously ensures that the accuracy of data information, improves the Protection of ecological system with big data
The running precision of system；The present invention carries out pre-corrected using QPSO algorithm to upper layer using data processor and database, is conducive to
Accurate real time data is obtained, effectively received real time data is modified, avoids influence of the dynamic error to detection data.
Detailed description of the invention
Fig. 1 is the Protection of ecological method flow diagram provided in an embodiment of the present invention with big data.
Fig. 2 is the ecological environment supervising system figure provided in an embodiment of the present invention with big data.
In figure: 1, node；2, data fusion interface；3, data processor；4, data fusion module.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to embodiments, to the present invention
It is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not used to
Limit the present invention.
In the prior art, due to air quality monitoring point limited amount, it is difficult to pollution sources precise positioning；Government work people
The surprise check of member's assault is at high cost, and success rate is low.Remote sensing satellite monitoring technology precision is low, faces the higher mass data of precision
It can not handle again.The prior art cannot be guaranteed the accuracy of detection data information, reduce the running precision of system；In the prior art
Effectively received real time data cannot be modified, influence of the dynamic error to detection data, to influence monitoring result.
In order to solve the above technical problems, with reference to the accompanying drawing and specific embodiment retouches application principle work of the invention in detail
It states.
As shown in Figure 1, the Protection of ecological method with big data of the embodiment of the present invention, specifically includes following step
It is rapid:
S101 establishes distance to go data-interface, adjusts data-interface according to data volume, receives remote sensing satellite, ground sky
The real time information of makings amount monitoring point, Household Air Purifier, monitoring water environment point, land quality monitoring point.
S102 carries out data Layer, characteristic layer and the fusion treatment of decision-making level to the real time data of data interface and obtains
The data information tentatively merged.
S103 rejects careless mistake data information using data processor, while using the data fusion based on fuzzy nearness
Algorithm carries out second to the data information tentatively merged and merges.
S104 carries out pre-corrected using QPSO algorithm to upper layer using data processor and database, is carrying out third time
Data fusion obtains final process result.
In the S102, data Layer fusion carries out fusion treatment using central fusion system, will be from data-interface
Information carries out packing processing.
In the S102, Feature-level fusion carries out feature extraction, information comprehensive analysis processing, completes data classification in real time,
Same ecological environmental pollution degree information is encapsulated as a data packet.
In the S102, Decision-level fusion carries out Decision-level fusion judgement by association process, by ecological environmental pollution journey
Degree is classified with amount of compressed data, pollution level classification are as follows: up to standard, not up to standard, serious not up to standard, data exception.
Step S103, it is provided in an embodiment of the present invention to use the data fusion based on fuzzy nearness using data processor
Algorithm carries out second to the data information tentatively merged and merges, and advantageously ensures that the accuracy of data information, improves with big
The running precision of the ecological environment supervising system of data；Specific algorithm are as follows:
If Ap、AqIt is P and q-th of fuzzy quantity respectively, defines S=S (Ap, Aq), if s meets:
1)0≤S≤1；
2)S(Ap, Ap)=1, S (Ap, φ)=0；
3)S(Ap, Aq)=S (Aq, Ap)；
4) whenWhen, there is S (Ap, Aq) > S (Ap, As)；
Then S is referred to as the approach degree of Ap, Aq, as the degree of closeness of Ap, Aq；
The present invention sets the weight of i-th of data as ri, then r is enabledi=S (Ai, A0), S (Ai, A0) use lattice close-degree；
Wherein inner product are as follows:
Apposition are as follows:
It is normalized, the relative weighting between available each data:
According to resulting each data weighting, final result can be obtained using data fusion:
Step S104, utilization data processor and database provided in an embodiment of the present invention use QPSO algorithm to upper layer
Pre-corrected is carried out, is conducive to obtain accurate real time data, effectively received real time data is modified, avoids dynamic error
Influence to detection data；Specific algorithm are as follows:
If y (k) is the output of real time data, r (k) is reference model output, and z (k) is compensation output, and w is compensator system
Number, m, n are the order of compensator；
Then compensate output are as follows:
Z (k)=A (z-1)y(k)-B(z-1)z(k)+v(k)
It is zero that v (k), which is mean value, in formula, and variance isThe uncorrelated random noise of Normal Distribution, and:
A(z-1)=A0+A1z-1…+AnZ-n
B(z-1)=B1z-1+…+Bmz-m, m≤n
The deviation of z (k) and r (k) are as follows:
E (k)=r (k)-z (k)
Mean square error and are as follows:
The weight vector representation of compensating filter are as follows:
As shown in Fig. 2, the ecological environment supervising system figure provided in an embodiment of the present invention with big data includes: 1, section
Point；2, data fusion interface；3, data processor；4, data fusion module.
Node 1 provided in an embodiment of the present invention is connected by air interface with data fusion interface 2.
Data fusion interface 2 provided in an embodiment of the present invention is connected by data parallel port with data processor 3.
Data processor 3 provided in an embodiment of the present invention is connected with data fusion module by data parallel port.
Node 1 provided in an embodiment of the present invention is remote sensing satellite and ground monitoring point, is responsible for collection and delivery environmental information.
Data fusion interface 2 provided in an embodiment of the present invention is used to receive the data that each node is sent, and carries out preliminary
Fusion.
Data processor 3 provided in an embodiment of the present invention rejects wherein careless mistake for executing fuzzy nearness fusion method
Data.
Data fusion module 4 provided in an embodiment of the present invention is used to carry out pre-corrected and data fusion to upper layer, obtains most
Whole processing result.
Processor and database are integrated in data fusion module 4 provided in an embodiment of the present invention.
In the above-described embodiments, can come wholly or partly by software, hardware, firmware or any combination thereof real
It is existing.When using entirely or partly realizing in the form of a computer program product, the computer program product include one or
Multiple computer instructions.When loading on computers or executing the computer program instructions, entirely or partly generate according to
Process described in the embodiment of the present invention or function.The computer can be general purpose computer, special purpose computer, computer network
Network or other programmable devices.The computer instruction may be stored in a computer readable storage medium, or from one
Computer readable storage medium is transmitted to another computer readable storage medium, for example, the computer instruction can be from one
A web-site, computer, server or data center pass through wired (such as coaxial cable, optical fiber, Digital Subscriber Line (DSL)
Or wireless (such as infrared, wireless, microwave etc.) mode is carried out to another web-site, computer, server or data center
Transmission).The computer-readable storage medium can be any usable medium or include one that computer can access
The data storage devices such as a or multiple usable mediums integrated server, data center.The usable medium can be magnetic Jie
Matter, (for example, floppy disk, hard disk, tape), optical medium (for example, DVD) or semiconductor medium (such as solid state hard disk Solid
State Disk (SSD)) etc..
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all in essence of the invention
Made any modifications, equivalent replacements, and improvements etc., should all be included in the protection scope of the present invention within mind and principle.
Claims (10)
1. a kind of Protection of ecological method with big data, which is characterized in that the ecological ring supervision with big data
Method establishes distance to go data-interface, adjusts data-interface according to data volume；The data of data-interface are received, data is carried out and melts
Conjunction method；
With fuzzy nearness fusion method, the data of careless mistake are rejected, monitoring result is obtained.
2. as described in claim 1 with the Protection of ecological method of big data, which is characterized in that described that there is big data
Ecological ring monitoring and managing method specifically include:
Step 1 establishes distance to go data-interface, adjusts data-interface according to data volume, receives remote sensing satellite, ground air
The real time information of quality-monitoring point, Household Air Purifier, monitoring water environment point, land quality monitoring point；
Step 2 carries out data Layer, characteristic layer and the fusion treatment of decision-making level to the real time data of data interface and obtains just
Walk the data information of fusion；
Step 3 is rejected careless mistake data information using data processor, while being calculated with the data fusion based on fuzzy nearness
Method carries out second to the data information tentatively merged and merges；
Step 4 carries out pre-corrected using QPSO algorithm to upper layer using data processor and database, is carrying out third number
According to fusion, final process result is obtained.
3. as described in claim 1 with the Protection of ecological method of big data, which is characterized in that in the step 1,
Data-interface comes from remote sensing satellite, ground air quality-monitoring point, domestic air purification for receiving real time information, information source
Device, monitoring water environment point, land quality monitoring point；
In the step 2, data fusion includes: data Layer fusion, Feature-level fusion, Decision-level fusion；
Data Layer fusion carries out fusion treatment using central fusion system, and the information from data-interface is carried out at packing
Reason；
Feature-level fusion carries out feature extraction, information comprehensive analysis processing, completes data classification in real time, i.e., by same ecological environment
Pollution level Information encapsulation is a data packet；
Decision-level fusion carries out Decision-level fusion judgement by association process, and ecological environmental pollution degree is classified to compress
Data volume, pollution level classification are as follows: up to standard, not up to standard, serious not up to standard, data exception.
4. as claimed in claim 2 with the Protection of ecological method of big data, which is characterized in that
Step 3 carries out in second of fusion the data information tentatively merged using data anastomosing algorithm, if Ap、AqIt is respectively
P and q-th of fuzzy quantity, define S=S (Ap, Aq), if s meets:
1)0≤S≤1；
2)S(Ap, Ap)=1, S (Ap, φ)=0；
3)S(Ap, Aq)=S (Aq, Ap)；
4) whenWhen, there is S (Ap, Aq) > S (Ap, As)；
Then S is referred to as the approach degree of Ap, Aq, is the degree of closeness of Ap, Aq.
5. as claimed in claim 4 with the Protection of ecological method of big data, which is characterized in that set i-th of data
Weight is ri, then r is enabledi=S (Ai, A0), S (Ai, A0) use lattice close-degree；
Wherein inner product are as follows:
Apposition are as follows:
It is normalized, obtains the relative weighting between each data:
According to resulting each data weighting, final result is obtained using data fusion:
6. as claimed in claim 2 with the Protection of ecological method of big data, which is characterized in that
Step 4 is carried out in pre-corrected using QPSO algorithm, if y (k) is the output of real time data, r (k) is reference model output,
Z (k) is compensation output, and w is compensator coefficient, and m, n are the order of compensator；
Then compensate output are as follows:
Z (k)=A (z-1)y(k)-B(z-1)z(k)+v(k)
It is zero that v (k), which is mean value, in formula, and variance isThe uncorrelated random noise of Normal Distribution, and:
A(z-1)=A0+A1z-1…+AnZ-n
B(z-1)=B1z-1+…+Bmz-m, m≤n
The deviation of z (k) and r (k) are as follows:
E (k)=r (k)-z (k)
Mean square error and are as follows:
The weight vector representation of compensating filter are as follows:
7. a kind of Protection of ecological program with big data, it is applied to terminal, which is characterized in that described with big data
Protection of ecological program realizes the Protection of ecological method described in claim 1~6 any one with big data.
8. a kind of terminal, which is characterized in that the terminal, which is carried, realizes there is big data described in claim 1~6 any one
Protection of ecological method server.
9. a kind of computer readable storage medium, including instruction, when run on a computer, so that computer is executed as weighed
Benefit requires the Protection of ecological method described in 1-6 any one with big data.
10. a kind of ecological ring with big data for implementing the Protection of ecological method with big data described in claim 1
Border supervisory systems, which is characterized in that the ecological environment supervising system with big data include: node, data fusion interface,
Data processor, data fusion module；
The node is connected by air interface with data fusion interface；
The data fusion interface is connected by data parallel port with data processor；
The data processor is connected with data fusion module by data parallel port；
The node 1 is remote sensing satellite and ground monitoring point, is responsible for collection and delivery environmental information；
The data fusion interface is used to receive the data that each node is sent, and is tentatively merged；
The data processor rejects the data of wherein careless mistake for executing fuzzy nearness fusion method；
The data fusion module is used to carry out pre-corrected and data fusion to upper layer, obtains final process result；
Processor and database are integrated in the data fusion module 4.
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| CN113420845A (en) * | 2021-08-24 | 2021-09-21 | 中国环境监测总站 | Method and system for fusing multi-source water environment monitoring data |
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Application publication date: 20190712 |