CN107145608A - A kind of intelligent environmental sanitation platform application is in the processing management control system of garbage apparatus - Google Patents
A kind of intelligent environmental sanitation platform application is in the processing management control system of garbage apparatus Download PDFInfo
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2462—Approximate or statistical queries
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2455—Query execution
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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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
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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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0635—Risk analysis of enterprise or organisation activities
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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
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- G06Q50/10—Services
- G06Q50/26—Government or public services
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
Abstract
The invention belongs to environmental sanitation administrative skill field, a kind of intelligent environmental sanitation platform application is disclosed in the processing management control system of garbage apparatus, the system includes information acquisition module, information transmission modular and data summarizing module；The information collected is transferred to data summarization module by information acquisition module by information transmission modular；Data summarization module includes data disaply moudle, video monitoring module, job eveluation module, command scheduling module, data processing module and data analysis module；Data summarization module is handled the data of acquisition, is first passed through data disaply moudle and is shown data by video monitoring module；Then evaluated by data analysis module by job eveluation module；It is last that command scheduling is carried out by command scheduling module by data processing module.The technology of the present invention has a clear superiority, perfect in shape and function, and each module contact is close, and overall operation schedule speed is fast, and operating efficiency is high, and integrated management ability is strong.
Description
Technical field
The invention belongs to environmental sanitation administrative skill field, more particularly to a kind of intelligent environmental sanitation platform application is in the place of garbage apparatus
Manage management control system.
Background technology
At present, with the proposition of " the wisdom earth " concept, various information communication skills how are made full use of in field of sanitation
Art, perceives, analyzes, integrating all kinds of environmental protection informations, various demands are made with intelligent response, decision-making is more suited environmental development
The need for, by technology of Internet of things, inductor and equipment are embedded into various environmental monitoring objects (object), pass through super meter
Calculation machine and cloud computing integrate field of Environment Protection Internet of Things, the integration of human society and environment operation system are realized, with more
Fine and dynamic mode realizes " wisdom " of environmental management and decision-making, however, existing intelligent platform, function is single, each
Unit is independent, contacts not close, reply overall operation efficiency is low, decision-making is slow, is unfavorable for being rapidly completed for operation.
In summary, the problem of present technology is present be：Existing management system function is single, and unit is contacted not
Closely, inefficiency, process problem is slow, and integration capability is weak.
The content of the invention
The problem of existing for prior art, the invention provides intelligent environmental sanitation platform application in the processing tube of garbage apparatus
Manage control system.
The present invention is achieved in that a kind of intelligent environmental sanitation platform application in the processing management control system of garbage apparatus,
The intelligent environmental sanitation platform application includes in the processing management control system of garbage apparatus：
The information at scene, is acquired by information acquisition module by monitor；Live rubbish can be real-time monitored
Disposition；The information collected is transferred to data summarization module by information transmission modular；
Information transmission modular, obtains the data of information acquisition module transmission and is passed by wireless base station, cable machinery
It is defeated；
Data summarization module, the information transmitted for receive information transport module, is stored data by server, is converged
Always；
The data summarization module includes data disaply moudle, video monitoring module, job eveluation module, command scheduling mould
Block, according to processing module and data analysis module；The data disaply moudle, video monitoring module, job eveluation module, commander adjust
Spend module, be sequentially connected according to processing module and data analysis module by signal wire；
Data disaply moudle, the brilliant kinescope of blacker-than-black that superalloy shadow mask techniques are combined using a new generation, inside kinescope
Black particle is added, the veiling glare of each luminous point can be effectively filtered, the transparency of display is improved 46%, uses in addition
Newest anti-glare anti-static coating, the interference of ambient is reduced to extremely low, it is ensured that display effect perfection is outstanding.700A
Plus highest resolutions are 1280X1024, and up to 85Hz refresh rate can be provided under 1024X768 resolution ratio.
Video monitoring module, for being monitored to data；
Data analysis module, for analyzing data；
The data analysis module is specific as follows using VLOOKUP function algorithms：
The numerical value that Lookup_value is searched for needs in tables of data first row.Lookup_value can be number
Value, reference or text-string.
Table_array is to need the tables of data of searching data wherein.Use the reference to region or zone name.
Col_index_num is the data row sequence number of searching data in table_array.When col_index_num is 1,
The numerical value of table_array first rows is returned, when col_index_num is 2, the numerical value of table_array secondary series is returned to, with
This analogizes.If col_index_num is less than 1, function VLOOKUP returns to improper value #VALUE；If col_index_num is big
In table_array columns, function VLOOKUP returns to improper value #REF.
Range_lookup is a logical value, indicates when function VLOOKUP is searched it is accurate matching, or approximate match.
If false or 0, then accurate matching is returned to, if can not find, return to improper value #N/A.If range_lookup is
TRUE or 1, function VLOOKUP will search approximate match value, that is to say, that if can not find accurate matching value, and return is less than
Lookup_value greatest measure.If range_lookup is omitted, approximate match is defaulted as.
Job eveluation module, for evaluating data；The evaluation method of job eveluation module includes：
Set up evaluate collection：
In order to carry out quantitative analysis it needs to be determined that the evaluate collection of each index to each evaluation index, using 5 grades of hundred-mark system evaluations
Evaluate collection V is divided 5 opinion ratings, i.e. V={ v1, v2, v3, v4, v5}={ is minimum, very little, small, larger, big }, wherein v1For
Influence human body danger minimum, interval scoring is 90~100, and intermediate value is 95；v2For dangerous very little, scoring it is interval for 80~
89, intermediate value is 84.5；The rest may be inferred；Each interval intermediate value is selected as the parameter of grade, then the parameter corresponding to 5 grades is
{ 95,84.5,74.5,64.5,49.5 }, parameter column vector is ν={ 95,84.5,74.5,64.5,49.5 }T；
Set up weight sets：
(1) recursive hierarchy structure is set up：
According to the assessment indicator system of foundation, each factor that problem is included is divided into four levels：First layer is to evaluate
General objective layer G, i.e. comprehensive safety；The second layer is rule layer C, finally regard each specific targets as third layer, i.e. indicator layer P；
(2) multilevel iudge matrix two-by-two is constructed：
Importance degree assignment, Judgement Matricies U are successively carried out according to 1~9 scaling law between any two to each key element
=(uij)n×n, wherein uijExpression factor uiAnd ujRelative to the importance value of rule layer, matrix U has property：uii=1, uij=1/
uji, i, j=1,2 ..., n draw judgment matrix：By matrix X1~X5By row normalization, i.e.,：
Calculating matrix Y is：
(3) under single criterion element relative weighting calculating：
Y matrix by rowss are added, by formulaDraw：
W1=(2.652 0.686 0.253 0.409)T
W2=(1 1)T
W3=(1.273 0.371 0.221 2.135)T
W4=(1.9 0.319 0.781)T
W5=(2.121 0.604 0.275)T
Obtain and vector is normalized, by formulaWeight vector can be obtained：
(4) consistency check of judgment matrix：
Calculate the Maximum characteristic root λ of judgment matrixmax, by formulaCalculate:
According to formulaConsistency check is carried out, is obtained：
CI1=0.019
CI2=0
CI3=0.031
CI4=0.020
CI5=0.048
By formula：
CR1=0.022
CR2=0
CR3=0.035
CR4=0.038
CR5=0.092
CR ＜ 0.1, are satisfied by coherence request, therefore the relative weighting of each factor
Data processing module, for being pre-processed and being stored to data；
Command scheduling module, command scheduling is carried out for setting processing management to rubbish.
Further, the evaluation method of job eveluation module also includes degree of membership calculating：
Multidigit uses frequency number analysis, and the indices being evaluated are carried out by evaluate collection to the degree of danger of indices
Grading, obtains the degree of membership of set of factors：
It is determined that judging Subject Matrix：
By the relative defects matrix for obtaining k-th of set of factors：
Wherein：
In formula：RkThe relative defects matrix of-k-th set of factors；
rkijThe degree of membership for the j that i-th of factor of-k-th set of factors belongs in evaluate collection；
pkij- group membership is rated j frequency to i-th of factor index of k-th of set of factors；
Construct fuzzy matrix for assessment：
By the weight vector of each indexFuzzy matrix for assessment B can be constructed with matrix R,
Calculate Comprehensive Evaluation result：
By fuzzy matrix for assessment B and the parameter column vector of evaluate collection, Comprehensive Evaluation result Z can be tried to achieve；
Z=BV
The result of fuzzy overall evaluation is arrived as available from the above equation, is provided further according to opinion rating, can evaluate influence human body many
The dangerous size of factor failure.
Further, the preprocess method of data processing module includes：
The frequency-hopping mixing signal time-frequency domain matrix gathered to information acquisition moduleEnter
Row pretreatment：Specifically include：
It is rightProgress goes low energy to pre-process, i.e., in each sampling instant p, willThe value that amplitude is less than thresholding ε is set to 0, and is obtained
Thresholding ε setting is determined according to the average energy of signal is received.
Further, the preprocess method of data processing module also includes：
The time-frequency numeric field data of p moment (p=0,1,2 ... P-1) non-zero is found out, is used
Represent, whereinRepresent the response of p moment time-frequencyCorresponding frequency indices, right when non-zero
The normalization pretreatment of these non-zeros, obtains pretreated vectorial b (p, q)=[b1(p,q),b2(p,q),…,bM(p,
q)]T, wherein
Perfect in shape and function of the present invention, each module contact is close, and overall operation schedule speed is fast, and operating efficiency is high, integrated pipe
Reason ability is strong.
The result that the present invention is detected is more accurate, true, reliable；Overcome the difficulty for being unable to dynamic detection disaster trend, energy
More preferably, disaster is more accurately found in time, accomplishes to prevent in advance；It is combined using quantification with qualitative analysis, incorporation engineering is real
Evaluate collection is set up on border, sets up overall merit judgment matrix, according to each hazards shadow total to the weight calculation of security implication
Ring rate, abandon using single angle evaluation, can not only correctly draw whether can trouble free service conclusion, moreover it is possible to solve safe coefficient
The problem of；Simplify evaluation procedure, eliminate the subjectivity randomness evaluated, be easy to common engineers and technicians to be applied to engineering real
Border.The reliability of the present invention is high, operability is good, reflects that engineering is actual with enabling assessment result more objective reality.
After the data processing of data processing module of the present invention, data can accurate real embodiment, have huge compared to prior art
Big raising.
Brief description of the drawings
Fig. 1 is that the intelligent environmental sanitation platform application that the present invention implements to provide is illustrated in the processing management control system of garbage apparatus
Figure.
As schemed：1st, information acquisition module；2nd, information transmission modular；3rd, data summarization module；4th, data disaply moudle；5th, regard
Frequency monitoring module；6th, job eveluation module；7th, command scheduling module；8th, data processing module；9th, data analysis module.
Embodiment
In order to make the purpose , technical scheme and advantage of the present invention be 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.
As shown in figure 1, the present invention implements the intelligent environmental sanitation platform application provided in the processing management control system of garbage apparatus
System, including：
The information collected is transferred to data summarization module 3 by information acquisition module 1 by information transmission modular 2；Data
Summarizing module 3 includes data disaply moudle 4, video monitoring module 5, job eveluation module 6, command scheduling module 7, data processing
Module 8 and data analysis module 9；Data summarization module 3 is handled the data of acquisition, and first passing through data disaply moudle 4 will
Data are shown by video monitoring module 5；Then evaluated by data analysis module 9 by job eveluation module 5；It is last by
Data processing module 8 carries out command scheduling by command scheduling module 7.
Information acquisition module：The information at scene is acquired by equipment by monitor, Operation Van and sanitationman；
The disposition of live rubbish can be real-time monitored.
Information transmission modular：Data are obtained to be transmitted by wireless base station, cable machinery；Guarantee information is smooth, quick worker
Transmission.
Data summarization module：Data are stored by server, collected.
Data disaply moudle and video monitoring module：The live video data of acquisition is timely included in giant-screen.
Data analysis module and job eveluation module：It is analyzed and evaluated by work station, and carries out execution decision-making.
Data processing module and dispatch control module：The scheduling of overall operation is carried out by dispatch control room.
The intelligent management system perfect in shape and function, each module contact is close, and overall operation schedule speed is fast, operating efficiency
Height, integrated management ability is strong.
Data disaply moudle, the brilliant kinescope of blacker-than-black that superalloy shadow mask techniques are combined using a new generation, inside kinescope
Black particle is added, the veiling glare of each luminous point can be effectively filtered, the transparency of display is improved 46%, uses in addition
Newest anti-glare anti-static coating, the interference of ambient is reduced to extremely low, it is ensured that display effect perfection is outstanding.700A
Plus highest resolutions are 1280X1024, and up to 85Hz refresh rate can be provided under 1024X768 resolution ratio.
Video monitoring module, for being monitored to data；
Data analysis module, for analyzing data；
The data analysis module is specific as follows using VLOOKUP function algorithms：
The numerical value that Lookup_value is searched for needs in tables of data first row.Lookup_value can be number
Value, reference or text-string.
Table_array is to need the tables of data of searching data wherein.Use the reference to region or zone name.
Col_index_num is the data row sequence number of searching data in table_array.When col_index_num is 1,
The numerical value of table_array first rows is returned, when col_index_num is 2, the numerical value of table_array secondary series is returned to, with
This analogizes.If col_index_num is less than 1, function VLOOKUP returns to improper value #VALUE；If col_index_num is big
In table_array columns, function VLOOKUP returns to improper value #REF.
Range_lookup is a logical value, indicates when function VLOOKUP is searched it is accurate matching, or approximate match.
If false or 0, then accurate matching is returned to, if can not find, return to improper value #N/A.If range_lookup is
TRUE or 1, function VLOOKUP will search approximate match value, that is to say, that if can not find accurate matching value, and return is less than
Lookup_value greatest measure.If range_lookup is omitted, approximate match is defaulted as.
With reference to operation principle, the invention will be further described.
Intelligent environmental sanitation platform application provided in an embodiment of the present invention in the processing management control system of garbage apparatus, including：
The information at scene, is acquired by information acquisition module by monitor；Live rubbish can be real-time monitored
Disposition；The information collected is transferred to data summarization module by information transmission modular；
Information transmission modular, obtains the data of information acquisition module transmission and is passed by wireless base station, cable machinery
It is defeated；
Data summarization module, the information transmitted for receive information transport module, is stored data by server, is converged
Always；
The data summarization module includes data disaply moudle, video monitoring module, job eveluation module, command scheduling mould
Block, according to processing module and data analysis module；The data disaply moudle, video monitoring module, job eveluation module, commander adjust
Spend module, be sequentially connected according to processing module and data analysis module by signal wire；
Data disaply moudle, the display for data；
Video monitoring module, for being monitored to data；
Data analysis module, for analyzing data；
Job eveluation module, for evaluating data；The evaluation method of job eveluation module includes：
Set up evaluate collection：
In order to carry out quantitative analysis it needs to be determined that the evaluate collection of each index to each evaluation index, using 5 grades of hundred-mark system evaluations
Evaluate collection V is divided 5 opinion ratings, i.e. V={ v1, v2, v3, v4, v5}={ is minimum, very little, small, larger, big }, wherein v1For
Influence human body danger minimum, interval scoring is 90~100, and intermediate value is 95；v2For dangerous very little, scoring it is interval for 80~
89, intermediate value is 84.5；The rest may be inferred；Each interval intermediate value is selected as the parameter of grade, then the parameter corresponding to 5 grades is
{ 95,84.5,74.5,64.5,49.5 }, parameter column vector is ν={ 95,84.5,74.5,64.5,49.5 }T；
Set up weight sets：
(1) recursive hierarchy structure is set up：
According to the assessment indicator system of foundation, each factor that problem is included is divided into four levels：First layer is to evaluate
General objective layer G, i.e. comprehensive safety；The second layer is rule layer C, finally regard each specific targets as third layer, i.e. indicator layer P；
(2) multilevel iudge matrix two-by-two is constructed：
Importance degree assignment, Judgement Matricies U are successively carried out according to 1~9 scaling law between any two to each key element
=(uij)n×n, wherein uijExpression factor uiAnd ujRelative to the importance value of rule layer, matrix U has property：uii=1, uij=1/
uji, i, j=1,2 ..., n draw judgment matrix：By matrix X1~X5By row normalization, i.e.,：
Calculating matrix Y is：
(3) under single criterion element relative weighting calculating：
Y matrix by rowss are added, by formulaDraw：
W1=(2.652 0.686 0.253 0.409)T
W2=(1 1)T
W3=(1.273 0.371 0.221 2.135)T
W4=(1.9 0.319 0.781)T
W5=(2.121 0.604 0.275)T
Obtain and vector is normalized, by formulaWeight vector can be obtained：
(4) consistency check of judgment matrix：
Calculate the Maximum characteristic root λ of judgment matrixmax, by formulaCalculate:
According to formulaConsistency check is carried out, is obtained：
CI1=0.019
CI2=0
CI3=0.031
CI4=0.020
CI5=0.048
By formula：
CR1=0.022
CR2=0
CR3=0.035
CR4=0.038
CR5=0.092
CR ＜ 0.1, are satisfied by coherence request, therefore the relative weighting of each factor
Data processing module, for being pre-processed and being stored to data；
Command scheduling module, command scheduling is carried out for setting processing management to rubbish.
The evaluation method of job eveluation module also includes degree of membership and calculated：
Multidigit uses frequency number analysis, and the indices being evaluated are carried out by evaluate collection to the degree of danger of indices
Grading, obtains the degree of membership of set of factors：
It is determined that judging Subject Matrix：
By the relative defects matrix for obtaining k-th of set of factors：
Wherein：
In formula：RkThe relative defects matrix of-k-th set of factors；
rkijThe degree of membership for the j that i-th of factor of-k-th set of factors belongs in evaluate collection；
pkij- group membership is rated j frequency to i-th of factor index of k-th of set of factors；
Construct fuzzy matrix for assessment：
By the weight vector of each indexFuzzy matrix for assessment B can be constructed with matrix R,
Calculate Comprehensive Evaluation result：
By fuzzy matrix for assessment B and the parameter column vector of evaluate collection, Comprehensive Evaluation result Z can be tried to achieve；
Z=BV
The result of fuzzy overall evaluation is arrived as available from the above equation, is provided further according to opinion rating, can evaluate influence human body many
The dangerous size of factor failure.
The preprocess method of data processing module includes：
The frequency-hopping mixing signal time-frequency domain matrix gathered to information acquisition moduleEnter
Row pretreatment：Specifically include：
It is rightProgress goes low energy to pre-process, i.e., in each sampling instant p, willThe value that amplitude is less than thresholding ε is set to 0, and is obtained
Thresholding ε setting is determined according to the average energy of signal is received.
Further, the preprocess method of data processing module also includes：
The time-frequency numeric field data of p moment (p=0,1,2 ... P-1) non-zero is found out, is used
Represent, whereinRepresent the response of p moment time-frequencyCorresponding frequency indices, right when non-zero
The normalization pretreatment of these non-zeros, obtains pretreated vectorial b (p, q)=[b1(p,q),b2(p,q),…,bM(p,
q)]T, wherein
Perfect in shape and function of the present invention, each module contact is close, and overall operation schedule speed is fast, and operating efficiency is high, integrated pipe
Reason ability is strong.
The result that the present invention is detected is more accurate, true, reliable；Overcome the difficulty for being unable to dynamic detection disaster trend, energy
More preferably, disaster is more accurately found in time, accomplishes to prevent in advance；It is combined using quantification with qualitative analysis, incorporation engineering is real
Evaluate collection is set up on border, sets up overall merit judgment matrix, according to each hazards shadow total to the weight calculation of security implication
Ring rate, abandon using single angle evaluation, can not only correctly draw whether can trouble free service conclusion, moreover it is possible to solve safe coefficient
The problem of；Simplify evaluation procedure, eliminate the subjectivity randomness evaluated, be easy to common engineers and technicians to be applied to engineering real
Border.The reliability of the present invention is high, operability is good, reflects that engineering is actual with enabling assessment result more objective reality.
After the data processing of data processing module of the present invention, data can accurate real embodiment, have huge compared to prior art
Big raising.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all essences in the present invention
Any modifications, equivalent substitutions and improvements made within refreshing and principle etc., should be included in the scope of the protection.
Claims (5)
1. a kind of intelligent environmental sanitation platform application is in the processing management control system of garbage apparatus, it is characterised in that the intelligent ring
The processing management control system that platform application is defended in garbage apparatus includes：
The information at scene, is acquired by information acquisition module by monitor；The processing of live rubbish can be real-time monitored
Situation；The information collected is transferred to data summarization module by information transmission modular；
Information transmission modular, obtains the data of information acquisition module transmission and is transmitted by wireless base station, cable machinery；
Data summarization module, the information transmitted for receive information transport module, data are stored, collected by server；
The data summarization module include data disaply moudle, video monitoring module, job eveluation module, command scheduling module,
According to processing module and data analysis module；The data disaply moudle, video monitoring module, job eveluation module, command scheduling
Module, it is sequentially connected by signal wire according to processing module and data analysis module；
Data disaply moudle, the display for data；
Video monitoring module, for being monitored to data；
Data analysis module, for analyzing data；
Job eveluation module, for evaluating data；The evaluation method of job eveluation module includes：
Set up evaluate collection：
In order to carry out quantitative analysis to each evaluation index it needs to be determined that the evaluate collection of each index, is commented using 5 grades of hundred-mark system evaluations handles
Valency collection V divides 5 opinion ratings, i.e. V={ v1, v2, v3, v4, v5}={ is minimum, very little, small, larger, big }, wherein v1For influence
Human body danger is minimum, and interval scoring is 90~100, and intermediate value is 95；v2For dangerous very little, interval scoring is 80~89, in
It is worth for 84.5；The rest may be inferred；Each interval intermediate value is selected as the parameter of grade, then the parameter corresponding to 5 grades for 95,
84.5,74.5,64.5,49.5 }, parameter column vector is ν={ 95,84.5,74.5,64.5,49.5 }T；
Set up weight sets：
(1) recursive hierarchy structure is set up：
According to the assessment indicator system of foundation, each factor that problem is included is divided into four levels：First layer is the total of evaluation
Destination layer G, i.e. comprehensive safety；The second layer is rule layer C, finally regard each specific targets as third layer, i.e. indicator layer P；
(2) multilevel iudge matrix two-by-two is constructed：
Importance degree assignment, Judgement Matricies U=are successively carried out according to 1~9 scaling law between any two to each key element
(uij)n×n, wherein uijExpression factor uiAnd ujRelative to the importance value of rule layer, matrix U has property：uii=1, uij=1/
uji, i, j=1,2 ..., n draw judgment matrix：By matrix X1~X5By row normalization, i.e.,：
<mrow>
<msub>
<mi>y</mi>
<mrow>
<mi>i</mi>
<mi>j</mi>
</mrow>
</msub>
<mo>=</mo>
<mfrac>
<msub>
<mi>x</mi>
<mrow>
<mi>i</mi>
<mi>j</mi>
</mrow>
</msub>
<mrow>
<munderover>
<mo>&Sigma;</mo>
<mrow>
<mi>i</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<mi>n</mi>
</munderover>
<msub>
<mi>x</mi>
<mrow>
<mi>i</mi>
<mi>j</mi>
</mrow>
</msub>
</mrow>
</mfrac>
<mo>,</mo>
<mrow>
<mo>(</mo>
<mi>i</mi>
<mo>,</mo>
<mi>j</mi>
<mo>=</mo>
<mn>1</mn>
<mo>,</mo>
<mn>2</mn>
<mo>...</mo>
<mi>n</mi>
<mo>)</mo>
</mrow>
</mrow>
Calculating matrix Y is：
<mrow>
<msup>
<mi>Y</mi>
<mn>1</mn>
</msup>
<mo>=</mo>
<mfenced open = "(" close = ")">
<mtable>
<mtr>
<mtd>
<mn>0.681</mn>
</mtd>
<mtd>
<mn>0.732</mn>
</mtd>
<mtd>
<mn>0.572</mn>
</mtd>
<mtd>
<mn>0.667</mn>
</mtd>
</mtr>
<mtr>
<mtd>
<mn>0.136</mn>
</mtd>
<mtd>
<mn>0.146</mn>
</mtd>
<mtd>
<mn>0.214</mn>
</mtd>
<mtd>
<mn>0.190</mn>
</mtd>
</mtr>
<mtr>
<mtd>
<mn>0.085</mn>
</mtd>
<mtd>
<mn>0.049</mn>
</mtd>
<mtd>
<mn>0.071</mn>
</mtd>
<mtd>
<mn>0.048</mn>
</mtd>
</mtr>
<mtr>
<mtd>
<mn>0.098</mn>
</mtd>
<mtd>
<mn>0.073</mn>
</mtd>
<mtd>
<mn>0.143</mn>
</mtd>
<mtd>
<mn>0.095</mn>
</mtd>
</mtr>
</mtable>
</mfenced>
</mrow>
<mrow>
<msup>
<mi>Y</mi>
<mn>2</mn>
</msup>
<mo>=</mo>
<mfenced open = "(" close = ")">
<mtable>
<mtr>
<mtd>
<mn>0.5</mn>
</mtd>
<mtd>
<mn>0.5</mn>
</mtd>
</mtr>
<mtr>
<mtd>
<mn>0.5</mn>
</mtd>
<mtd>
<mn>0.5</mn>
</mtd>
</mtr>
</mtable>
</mfenced>
</mrow>
1
<mrow>
<msup>
<mi>Y</mi>
<mn>3</mn>
</msup>
<mo>=</mo>
<mfenced open = "(" close = ")">
<mtable>
<mtr>
<mtd>
<mn>0.293</mn>
</mtd>
<mtd>
<mn>0.348</mn>
</mtd>
<mtd>
<mn>0.353</mn>
</mtd>
<mtd>
<mn>0.279</mn>
</mtd>
</mtr>
<mtr>
<mtd>
<mn>0.073</mn>
</mtd>
<mtd>
<mn>0.087</mn>
</mtd>
<mtd>
<mn>0.118</mn>
</mtd>
<mtd>
<mn>0.093</mn>
</mtd>
</mtr>
<mtr>
<mtd>
<mn>0.049</mn>
</mtd>
<mtd>
<mn>0.043</mn>
</mtd>
<mtd>
<mn>0.059</mn>
</mtd>
<mtd>
<mn>0.070</mn>
</mtd>
</mtr>
<mtr>
<mtd>
<mn>0.585</mn>
</mtd>
<mtd>
<mn>0.522</mn>
</mtd>
<mtd>
<mn>0.470</mn>
</mtd>
<mtd>
<mn>0.558</mn>
</mtd>
</mtr>
</mtable>
</mfenced>
</mrow>
<mrow>
<msup>
<mi>Y</mi>
<mn>4</mn>
</msup>
<mo>=</mo>
<mfenced open = "(" close = ")">
<mtable>
<mtr>
<mtd>
<mn>0.652</mn>
</mtd>
<mtd>
<mn>0.556</mn>
</mtd>
<mtd>
<mn>0.692</mn>
</mtd>
</mtr>
<mtr>
<mtd>
<mn>0.131</mn>
</mtd>
<mtd>
<mn>0.111</mn>
</mtd>
<mtd>
<mn>0.077</mn>
</mtd>
</mtr>
<mtr>
<mtd>
<mn>0.217</mn>
</mtd>
<mtd>
<mn>0.333</mn>
</mtd>
<mtd>
<mn>0.231</mn>
</mtd>
</mtr>
</mtable>
</mfenced>
</mrow>
<mrow>
<msup>
<mi>Y</mi>
<mn>5</mn>
</msup>
<mo>=</mo>
<mfenced open = "(" close = ")">
<mtable>
<mtr>
<mtd>
<mn>0.732</mn>
</mtd>
<mtd>
<mn>0.789</mn>
</mtd>
<mtd>
<mn>0.600</mn>
</mtd>
</mtr>
<mtr>
<mtd>
<mn>0.146</mn>
</mtd>
<mtd>
<mn>0.158</mn>
</mtd>
<mtd>
<mn>0.300</mn>
</mtd>
</mtr>
<mtr>
<mtd>
<mn>0.122</mn>
</mtd>
<mtd>
<mn>0.053</mn>
</mtd>
<mtd>
<mn>0.100</mn>
</mtd>
</mtr>
</mtable>
</mfenced>
</mrow>
(3) under single criterion element relative weighting calculating：
Y matrix by rowss are added, by formulaDraw：
W1=(2.652 0.686 0.253 0.409)T
W2=(1 1)T
W3=(1.273 0.371 0.221 2.135)T
W4=(1.9 0.319 0.781)T
W5=(2.121 0.604 0.275)T
Obtain and vector is normalized, by formulaWeight vector can be obtained：
<mrow>
<msup>
<mover>
<mi>W</mi>
<mo>&OverBar;</mo>
</mover>
<mn>1</mn>
</msup>
<mo>=</mo>
<msup>
<mfenced open = "(" close = ")">
<mtable>
<mtr>
<mtd>
<mn>0.663</mn>
</mtd>
<mtd>
<mn>0.172</mn>
</mtd>
<mtd>
<mn>0.063</mn>
</mtd>
<mtd>
<mn>0.102</mn>
</mtd>
</mtr>
</mtable>
</mfenced>
<mi>T</mi>
</msup>
</mrow>
<mrow>
<msup>
<mover>
<mi>W</mi>
<mo>&OverBar;</mo>
</mover>
<mn>2</mn>
</msup>
<mo>=</mo>
<msup>
<mfenced open = "(" close = ")">
<mtable>
<mtr>
<mtd>
<mn>0.5</mn>
</mtd>
<mtd>
<mn>0.5</mn>
</mtd>
</mtr>
</mtable>
</mfenced>
<mi>T</mi>
</msup>
</mrow>
<mrow>
<msup>
<mover>
<mi>W</mi>
<mo>&OverBar;</mo>
</mover>
<mn>3</mn>
</msup>
<mo>=</mo>
<msup>
<mfenced open = "(" close = ")">
<mtable>
<mtr>
<mtd>
<mn>0.381</mn>
</mtd>
<mtd>
<mn>0.093</mn>
</mtd>
<mtd>
<mn>0.055</mn>
</mtd>
<mtd>
<mn>0.534</mn>
</mtd>
</mtr>
</mtable>
</mfenced>
<mi>T</mi>
</msup>
</mrow>
<mrow>
<msup>
<mover>
<mi>W</mi>
<mo>&OverBar;</mo>
</mover>
<mn>4</mn>
</msup>
<mo>=</mo>
<msup>
<mfenced open = "(" close = ")">
<mtable>
<mtr>
<mtd>
<mn>0.633</mn>
</mtd>
<mtd>
<mn>0.106</mn>
</mtd>
<mtd>
<mn>0.261</mn>
</mtd>
</mtr>
</mtable>
</mfenced>
<mi>T</mi>
</msup>
</mrow>
<mrow>
<msup>
<mover>
<mi>W</mi>
<mo>&OverBar;</mo>
</mover>
<mn>5</mn>
</msup>
<mo>=</mo>
<msup>
<mfenced open = "(" close = ")">
<mtable>
<mtr>
<mtd>
<mn>0.707</mn>
</mtd>
<mtd>
<mn>0.201</mn>
</mtd>
<mtd>
<mn>0.092</mn>
</mtd>
</mtr>
</mtable>
</mfenced>
<mi>T</mi>
</msup>
</mrow>
(4) consistency check of judgment matrix：
Calculate the Maximum characteristic root λ of judgment matrixmax, by formulaCalculate:
<mrow>
<msubsup>
<mover>
<mi>&lambda;</mi>
<mo>&OverBar;</mo>
</mover>
<mrow>
<mi>m</mi>
<mi>a</mi>
<mi>x</mi>
</mrow>
<mn>1</mn>
</msubsup>
<mo>=</mo>
<mn>4.085</mn>
</mrow>
<mrow>
<msubsup>
<mover>
<mi>&lambda;</mi>
<mo>&OverBar;</mo>
</mover>
<mrow>
<mi>m</mi>
<mi>a</mi>
<mi>x</mi>
</mrow>
<mn>2</mn>
</msubsup>
<mo>=</mo>
<mn>2</mn>
</mrow>
<mrow>
<msubsup>
<mover>
<mi>&lambda;</mi>
<mo>&OverBar;</mo>
</mover>
<mrow>
<mi>m</mi>
<mi>a</mi>
<mi>x</mi>
</mrow>
<mn>3</mn>
</msubsup>
<mo>=</mo>
<mn>4.031</mn>
</mrow>
<mrow>
<msubsup>
<mover>
<mi>&lambda;</mi>
<mo>&OverBar;</mo>
</mover>
<mrow>
<mi>m</mi>
<mi>a</mi>
<mi>x</mi>
</mrow>
<mn>4</mn>
</msubsup>
<mo>=</mo>
<mn>0.304</mn>
</mrow>
<mrow>
<msubsup>
<mover>
<mi>&lambda;</mi>
<mo>&OverBar;</mo>
</mover>
<mrow>
<mi>m</mi>
<mi>a</mi>
<mi>x</mi>
</mrow>
<mn>5</mn>
</msubsup>
<mo>=</mo>
<mn>3.096</mn>
</mrow>
2
According to formulaConsistency check is carried out, is obtained：
CI1=0.019
CI2=0
CI3=0.031
CI4=0.020
CI5=0.048
By formula：
CR1=0.022
CR2=0
CR3=0.035
CR4=0.038
CR5=0.092
CR ＜ 0.1, are satisfied by coherence request, therefore the relative weighting of each factor
Data processing module, for being pre-processed and being stored to data；
Command scheduling module, command scheduling is carried out for setting processing management to rubbish.
2. intelligence environmental sanitation platform application as claimed in claim 1 is in the processing management control system of garbage apparatus, its feature exists
In the evaluation method of job eveluation module also includes degree of membership and calculated：
Multidigit uses frequency number analysis, and the indices being evaluated are commented the degree of danger of indices by evaluate collection
Level, obtains the degree of membership of set of factors：
It is determined that judging Subject Matrix：
By the relative defects matrix for obtaining k-th of set of factors：
<mrow>
<msub>
<mi>R</mi>
<mi>k</mi>
</msub>
<mo>=</mo>
<mo>|</mo>
<mtable>
<mtr>
<mtd>
<msub>
<mi>r</mi>
<mrow>
<mi>k</mi>
<mn>11</mn>
</mrow>
</msub>
</mtd>
<mtd>
<mo>...</mo>
</mtd>
<mtd>
<msub>
<mi>r</mi>
<mrow>
<mi>k</mi>
<mn>1</mn>
<mi>n</mi>
</mrow>
</msub>
</mtd>
</mtr>
<mtr>
<mtd>
<mtable>
<mtr>
<mtd>
<mo>.</mo>
</mtd>
</mtr>
<mtr>
<mtd>
<mo>.</mo>
</mtd>
</mtr>
<mtr>
<mtd>
<mo>.</mo>
</mtd>
</mtr>
</mtable>
</mtd>
<mtd>
<mtable>
<mtr>
<mtd>
<mrow></mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow></mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow></mrow>
</mtd>
</mtr>
</mtable>
</mtd>
<mtd>
<mtable>
<mtr>
<mtd>
<mo>.</mo>
</mtd>
</mtr>
<mtr>
<mtd>
<mo>.</mo>
</mtd>
</mtr>
<mtr>
<mtd>
<mo>.</mo>
</mtd>
</mtr>
</mtable>
</mtd>
</mtr>
<mtr>
<mtd>
<msub>
<mi>r</mi>
<mrow>
<mi>k</mi>
<mi>m</mi>
<mn>1</mn>
</mrow>
</msub>
</mtd>
<mtd>
<mo>...</mo>
</mtd>
<mtd>
<msub>
<mi>r</mi>
<mrow>
<mi>k</mi>
<mi>m</mi>
<mi>n</mi>
</mrow>
</msub>
</mtd>
</mtr>
</mtable>
<mo>|</mo>
</mrow>
Wherein：
<mrow>
<msub>
<mi>r</mi>
<mrow>
<mi>k</mi>
<mi>i</mi>
<mi>j</mi>
</mrow>
</msub>
<mo>=</mo>
<mfrac>
<msub>
<mi>p</mi>
<mrow>
<mi>k</mi>
<mi>i</mi>
<mi>j</mi>
</mrow>
</msub>
<mrow>
<munder>
<mo>&Sigma;</mo>
<mi>j</mi>
</munder>
<msub>
<mi>p</mi>
<mrow>
<mi>k</mi>
<mi>i</mi>
<mi>j</mi>
</mrow>
</msub>
</mrow>
</mfrac>
</mrow>
In formula：RkThe relative defects matrix of-k-th set of factors；
rkijThe degree of membership for the j that i-th of factor of-k-th set of factors belongs in evaluate collection；
pkij- group membership is rated j frequency to i-th of factor index of k-th of set of factors；
Construct fuzzy matrix for assessment：
By the weight vector of each indexFuzzy matrix for assessment B can be constructed with matrix R,
<mrow>
<mi>B</mi>
<mo>=</mo>
<mover>
<mi>W</mi>
<mo>&OverBar;</mo>
</mover>
<mo>&CenterDot;</mo>
<mi>R</mi>
</mrow>
Calculate Comprehensive Evaluation result：
By fuzzy matrix for assessment B and the parameter column vector of evaluate collection, Comprehensive Evaluation result Z can be tried to achieve；
Z=BV
The result of fuzzy overall evaluation is arrived as available from the above equation, is provided further according to opinion rating, can evaluate influence human body multifactor
The dangerous size of failure.
3. intelligence environmental sanitation platform application as claimed in claim 1 is in the processing management control system of garbage apparatus, its feature exists
In the preprocess method of data processing module includes：
The frequency-hopping mixing signal time-frequency domain matrix gathered to information acquisition moduleCarry out pre-
Processing：Specifically include：
It is rightProgress goes low energy to pre-process, i.e., in each sampling instant p, willThe value that amplitude is less than thresholding ε is set to 0, and is obtained
Thresholding ε setting is determined according to the average energy of signal is received.
4. intelligence environmental sanitation platform application as claimed in claim 3 is in the processing management control system of garbage apparatus, its feature exists
In the preprocess method of data processing module also includes：
The time-frequency numeric field data of p moment (p=0,1,2 ... P-1) non-zero is found out, is usedTable
Show, whereinRepresent the response of p moment time-frequencyCorresponding frequency indices when non-zero, to these
Non-zero normalization pretreatment, obtains pretreated vectorial b (p, q)=[b1(p,q),b2(p,q),…,bM(p,q)]T,
Wherein
5. intelligence environmental sanitation platform application as claimed in claim 1 is in the processing management control system of garbage apparatus, its feature exists
In the data disaply moudle uses the brilliant kinescope of the blacker-than-black for combining superalloy shadow mask techniques, and black is added inside kinescope
Particle, filters the veiling glare of each luminous point, increases the transparency of display；Using anti-glare anti-static coating, when ambient
Interference be down to it is extremely low.
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| CN107749312A (en) * | 2017-10-10 | 2018-03-02 | 阜阳师范学院 | A kind of management control system based on IVF |
| CN107918824A (en) * | 2017-11-02 | 2018-04-17 | 中交第二公路工程局有限公司 | A kind of highway engineering construction Norm Measure method |
| CN108389199A (en) * | 2018-03-14 | 2018-08-10 | 广东石油化工学院 | A kind of hazardous materials transportation safety detection method and its system |
| CN109949187A (en) * | 2019-03-01 | 2019-06-28 | 北华大学 | A kind of novel Internet of Things teleeducation system and control method |
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| CN103868985A (en) * | 2014-03-20 | 2014-06-18 | 西南石油大学 | Defect quantified comprehensive safety judgment method for on-service pressure container |
| CN105389765A (en) * | 2015-12-01 | 2016-03-09 | 安徽爱瑞特环保科技股份有限公司 | Sanitation Internet of Things (IOT) management platform |
| CN106022576A (en) * | 2016-05-10 | 2016-10-12 | 天津同丰信息技术有限公司 | Scheduling system applied to intelligent environmental sanitation system |
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| CN103051367A (en) * | 2012-11-27 | 2013-04-17 | 西安电子科技大学 | Clustering-based blind source separation method for synchronous orthogonal frequency hopping signals |
| CN103868985A (en) * | 2014-03-20 | 2014-06-18 | 西南石油大学 | Defect quantified comprehensive safety judgment method for on-service pressure container |
| CN105389765A (en) * | 2015-12-01 | 2016-03-09 | 安徽爱瑞特环保科技股份有限公司 | Sanitation Internet of Things (IOT) management platform |
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| CN107749312A (en) * | 2017-10-10 | 2018-03-02 | 阜阳师范学院 | A kind of management control system based on IVF |
| CN107918824A (en) * | 2017-11-02 | 2018-04-17 | 中交第二公路工程局有限公司 | A kind of highway engineering construction Norm Measure method |
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Application publication date: 20170908 |