CN109100468A - A kind of the abnormal data early warning system and method for pollution sources environment automatic monitoring platform - Google Patents
A kind of the abnormal data early warning system and method for pollution sources environment automatic monitoring platform Download PDFInfo
- Publication number
- CN109100468A CN109100468A CN201810673711.3A CN201810673711A CN109100468A CN 109100468 A CN109100468 A CN 109100468A CN 201810673711 A CN201810673711 A CN 201810673711A CN 109100468 A CN109100468 A CN 109100468A
- Authority
- CN
- China
- Prior art keywords
- data
- factor
- enterprise
- different time
- early warning
- 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
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
Abstract
The invention belongs to technical field of environmental management, disclose the abnormal data early warning system and method for a kind of pollution sources environment automatic monitoring platform.Real time data judges extremely: carrying out average value processing to nearly x days data, when there is Spline smoothing, as abnormal data, carries out abnormal data early warning；Historical data judges extremely: judging to different enterprises, Pai Kou, with the fluctuation patterns of the data of Graph One factor；Repeated data judges extremely: when the data for occurring some factor for a long time are invariable, issuing abnormity early warning.The present invention has found the rule between "abnormal" data, provides procuratorial organs corresponding decision references, can greatly improve the supervision to illegal blowdown enterprise.
Description
Technical field
The invention belongs to technical field of environmental management more particularly to a kind of abnormal numbers of pollution sources environment automatic monitoring platform
According to early warning system and method.
Background technique
Currently, the prior art commonly used in the trade is such that
The pollution sources of Wuhan City are the advanced monitoring systems in national industry, there is many similar systems on statistical analysis at present
System, but in the judgement for practising fraud data, abnormal data (doubtful data), according to the retrieval to the prior art, do not find also in this way
System.There are many machine learning, statistical certain methods can be used to find rule, for finding between the factor
Relationship, this kind of knowledge are mostly relatively more in artificial intelligence industry.
Cooperation enterprise of blowdown enterprise, every a large sum of environmental improvement expense of annual meeting generation, and many illegal enterprises, existed using instrument
Enterprise scene, artificially carries out illegally interference, reaches and escapes blowdown improvement.WeiZhao's Notes are less than punishment cost, and many enterprises go on
The road of cheating data.
Currently, cheating data can only pass through manual examination and verification, experience audit.Even, more situations is to have received the common people
Complaint, government department superintends and checks according to process, has little effect.Often the inspection personnel one of government walks, and enterprise starts again
Illegal behavior.Daily Wuhan City can generate hundreds of thousands monitoring data, and for mass data, manual examination and verification cost is very high, and
Inefficiency.It is monitored in real time using machinery remote, and cannot be guaranteed the reliability of the data of real time monitoring, then, for this
Often there is certain regularity in the "abnormal" data of manual intervention, such as: certain factor data of sewage draining exit A is usually general
Between 5-10, there is transition in some period suddenly, become between 1-2, then restore.It finds out between "abnormal" data
Rule provides procuratorial organs corresponding decision references, can greatly improve the supervision to illegal enterprise, to trying hard to keep for environment
Shield.
In conclusion problem of the existing technology is:
(1) for mass data, manual examination and verification cost is very high, and inefficiency.It is monitored in real time using machinery remote, and not
It can guarantee the reliability of the data of real time monitoring.
(2) illegal enterprise utilizes the monitoring of technological means intervention apparatu, uploads cheating data, reaches and escapes blowdown punishment
Purpose.
(3) WeiZhao's Notes are low, supervise not in place.Meanwhile the excessive dependence common people complain, random inspection, miss cheating number
According to a possibility that it is very big.
Summary of the invention
In view of the problems of the existing technology, the present invention provides a kind of abnormal numbers of pollution sources environment automatic monitoring platform
According to early warning system and method.The present invention carries out early warning for abnormal data, cheating data, cooperates law enfrocement official, screens, mention in advance
For decision recommendation.
The invention is realized in this way a kind of abnormal data method for early warning of pollution sources environment automatic monitoring platform, comprising:
Find the regular method of normal blowdown data: according to time cycle property, aperiodicity, according to the period (day, week,
The moon, year) classification searching can be carried out to data；According to the factor, sewage draining exit, enterprise's supervision type, enterprise region, enterprise correlation
Attribute (the production type of product of such as enterprise, the output value of enterprise, the downtime of enterprise, enterprise production cycle) and time
Permutation and combination is carried out, the emission equivalent of the corresponding factor can be searched out.
Real time data judges extremely: mean value carried out to nearly x days data or the difference of two squares is handled, when there is Spline smoothing,
As abnormal data, abnormal data early warning is carried out.
Historical data judges extremely: judges to different enterprises, Pai Kou, with the fluctuation patterns of the data of Graph One factor, when
The data normally uploaded, when occurring not being inconsistent with rule, as the abnormal data of suspection, by manually verifying, picture video is grabbed
The modes such as bat, which combine, judges abnormal data.
Repetition/periodic regularity data exception judges: when the data for occurring some factor for a long time are invariable, hair
Abnormity early warning out；When periodically fluctuation occur in data, for example, being within X hours numerical value a, Y hours are numerical value b, are periodically become
Change, then as abnormal data (it is a section that a and b here, which can take into)；For periodic data, can be added small
When/day week month year period judgement.
Further, the regular method of normal blowdown data is found, comprising:
1) for the emission equivalent of the Emissions Factors of same row's mouth:
A) pass through a plurality of song by drawing the x-y curve of time and Emissions Factors with the emission equivalent of factor different time
The method that line is averaged gets the basis rule of same factor different time discharge；
B) incidence relation of multiple-factor different time, by take the discharge value of the different time difference factor mean difference or
Ratio gets the rule of incidence relation.
2) for the emission equivalent of the sewage of same type, exhaust gas row's mouth:
A) incidence relation of single-factor different time:
The method being compared with the data of period different time.Example: multiple enterprise's sewage rows such as A, B of 2017 terms are taken
Mouthful, the emissions data of the ammonia nitrogen factor, by the x-y curve 1 for drawing time and Emissions Factors；Take A, B of 2016 terms etc. multiple
The sewage of enterprise arranges mouth, ammonia nitrogen factor emissions data, by drawing the x-y curve 2 of time and Emissions Factors, curve 1 and curve 2
Proportionate relationship, difference relationship (being fluctuated within the scope of one) in same a period of time, such as January.Period can be taken as year,
Month, day, hour, then the emission equivalent of available respective cycle；
The method that the data of different cycles different time are compared.Example: the sewage of multiple enterprises such as A, B in 2017 is taken
Mouth, the emissions data of the ammonia nitrogen factor are arranged, setting threshold value is X, method one: the data of discharge value Time Continuous on X is taken, when obtaining
Between section Y；Method two takes continuous week section Y1 of the week discharge mean value on X1；Method three takes week discharge mean value on X2
Continuous month section Y2 makes comparisons according to resulting month section according to the annual time, it can be deduced that and day/week/
Month discharge because discharge ratio, the discharge relationship as the first different time.Second, according to different drain time sections,
It can be concluded that discharge value can be lower than X, can calculate when multiple enterprises such as A, B are after Y continuous (day/week/month) discharge
Second of emission equivalent of enterprise out.
B) incidence relation of multiple-factor different time:
The incidence relation of multiple-factor different time is more complicated one kind, and the incidence relation between them is most basic just
It is the factor of same type, might have multiple.Such as: the furnace temperature factor is divided into furnace temperature, middle furnace temperature, lower furnace temperature；PH value is often
Hydronitrogen appears in row's mouth simultaneously out.This incidence relation is with the related of chemical substance in itself, in other words
With the product of the production of enterprise, the chemical reaction of generation has direct relationship.According to polyfactorial while a possibility that occur,
It is divided into strong incidence relation and weak rigidity relationship.We make corresponding rule for the factor of strong incidence relation and search, for weak pass
The factor of connection relationship is grouped into other classification of this paper and carries out search relationship, such as: same to region, with supervision type multiple-factor it
Between incidence relation, this section is without repeating；
For the factor of strong incidence relation, can generally there be ratio discharge relationship.Such as: it is both the hospital of sewage discharge,
Ammonia nitrogen, the pH value factor, can occur simultaneously in the total residual chlorine factor of discharge, and instantaneous flow can relationship (positive correlation proportional to total residual chlorine
Or negatively correlated).One range [- a ,+a] is set, if the value of a is 0.3 hereinafter, illustrating two kinds of extremely low correlations of the factor, if high
In 0.9, even 1, illustrate that two kinds of factors are extremely related；
Second existing for polyfactorial incidence relation are as follows: the value of the value x of the factor one and the factor two y's and x+ay equal to one
A constant gradual change value；Such as Fig. 3
Polyfactorial incidence relation it is existing the third are as follows: the value of composite factor and the value of composite factor are proportional, parsing
Illustrate composite factor be a variety of factors value and be averaged.
Equally be divided into: multiple-factor is the same as the data of period different time and two kinds of data of multiple-factor different cycles different time
Irregular manner.
3) for the emission equivalent of same enterprise's difference row's mouth:
The incidence relation of single-factor different time:
With the method that the data of period different time are compared, the emission equivalent of synperiodic different row's mouths is obtained.Example:
Take enterprise A in 2017, the emissions data of No. 1 exhaust gas row's mouth SO2 factor, by the x-y curve 1 for drawing time and Emissions Factors；
No. 2 exhaust gas of 2017 term enterprise A are taken to arrange the emissions data of the mouth SO2 factor, by the x-y curve for drawing time and Emissions Factors
2, curve 1 and curve 2 in same a period of time, as the proportionate relationship in January, difference relationship, average value proportionate relationship (one
Fluctuation in a range).Period can be taken as year, the moon, day, hour, then the emission equivalent of available respective cycle.
The method that the data of different cycles different time are compared.Example: the sewage of enterprise in 2017 is taken to arrange mouth, ammonia nitrogen
The emissions data of the factor, setting threshold value are X, and method one: taking the data of discharge value Time Continuous on X, obtains period Y；Side
Method two takes continuous week section Y1 of the week discharge mean value on X1；Method three takes the continuous moon of the week discharge mean value on X2
Period Y2 is made comparisons according to the annual time according to resulting month section, it can be deduced that day/week/month discharge because
For discharge ratio, discharge relationship as the first different time.Second, according to different drain time sections, it can be deduced that
When multiple enterprises such as A, B are after Y continuous (day/week/month) discharge, discharge value can be lower than X, can extrapolate enterprise
Second of emission equivalent.
4) for the emission equivalent of row's mouth of enterprise's same type of the same trade:
The same industry is compared to same enterprise, regular range more factory, and the enterprise for including is more.Emission equivalent is mainly for same
Industry and enterprise scale is close, and pollutant discharge of enterprise is proportional, and enterprise's production cycle close enterprise carries out regular lookup.Because of colleague
The enterprise of industry, may be different due to the business circumstance of enterprise, can there is very big difference, and blowdown is raw again by sewage treatment equipment
Produce the difference of situation and different.So needing to remove the factor of interference when rule is found.From 3 kinds of methods before
On the basis of, and then find the rule of more extensive Emissions Factors.
A) incidence relation of single-factor different time:
With the method that the data of period different time are compared, the emission equivalent of synperiodic different row's mouths is obtained.Example:
Same production product of the same trade in 2017, the close enterprise A of scale (the production output value, raw material use) are taken, No. 1 exhaust gas arranges mouth SO2
The emissions data of the factor, by the x-y curve 1 for drawing time and Emissions Factors；Taking for 2017 terms is all automobile industry enterprise B
The emissions data of No. 1 exhaust gas row's mouth SO2 factor, by drawing the x-y curve 2 of time and Emissions Factors, curve 1 and curve 2 exist
Same a period of time, such as the proportionate relationship in January, the proportionate relationship (being fluctuated within the scope of one) of difference relationship, average value.Week
Phase can be taken as year, the moon, day, hour, then the emission equivalent of available respective cycle.
The method that the data of different cycles different time are compared.Example: same production product of the same trade in 2017, scale are taken
Sewage row's mouth of (the production output value, raw material use) close enterprise A, B, the emissions data of the ammonia nitrogen factor, setting threshold value is X,
Method one: taking the data of discharge value Time Continuous on X, obtains period Y；Method two takes company of the week discharge mean value on X1
Continuous week section Y1；Method three takes continuous month section Y2 of the week discharge mean value on X2, according to resulting month
Section is made comparisons according to the annual time, it can be deduced that day/week/month discharge because discharge ratio, not as the first
With the discharge relationship of time.Second, according to different drain time sections, it can be deduced that when multiple enterprises such as A, B are continuous up to Y
(day/week/month) discharge after, discharge value can be lower than X, second of emission equivalent of enterprise can be extrapolated.
B) incidence relation of multiple-factor different time:
Other than the finding method of the rule of the incidence relation of several polyfactorial different times described before, for
In the incidence relation of polyfactorial different time of the same trade, corresponding rule is found from homogeneity attribute of the same trade.
5) for the emission equivalent of row's mouth of enterprise's same type of same supervision type:
Compared to enterprise of the same trade, range more factory includes different industry and enterprises for enterprise with supervision type.For not
The pollution emission standard of same supervision type, enterprise is different, and the factor of monitoring also can be different.
Supervision type is divided into: state's control, province's control, city is controlled and other.On the basis of 4 kinds of methods before, and then find more
For the rule of extensive Emissions Factors.It is specific as follows:
A) incidence relation of single-factor different time:
With the method that the data of period different time are compared, the emission equivalent of synperiodic different row's mouths is obtained.Example:
Take same supervision type, the same industry in 2017, or the enterprise close with production product and scale (the production output value, raw material use)
A, the emissions data of No. 1 exhaust gas row's mouth SO2 factor, by the x-y curve 1 for drawing time and Emissions Factors；Took for 2017 terms same
Supervision type, the same industry, or No. 1 exhaust gas with the close enterprise B of production product and scale (the production output value, raw material use)
The emissions data for arranging the mouth SO2 factor, by drawing the x-y curve 2 of time and Emissions Factors, curve 1 and curve 2 are in the same time
Period, such as the proportionate relationship in January, the proportionate relationship (being fluctuated within the scope of one) of difference relationship, average value.Period can take
For year, the moon, day, hour, then the emission equivalent of available respective cycle.
The method that the data of different cycles different time are compared.Example: taking same supervision type, the same industry in 2017, or
Sewage row mouth of the person with production product and scale (the production output value, raw material use) close enterprise A, B, the discharge of the ammonia nitrogen factor
Data, setting threshold value are X, and method one: taking the data of discharge value Time Continuous on X, obtains period Y；Method two takes all rows
Put continuous week section Y1 of the mean value on X1；Method three takes continuous month section Y2 of the week discharge mean value on X2, root
According to resulting month section, make comparisons according to the annual time, it can be deduced that day/week/month discharge because discharge ratio
Rate, the discharge relationship as the first different time.Second, according to different drain time sections, it can be deduced that when A, B etc. are multiple
After Y continuous (day/week/month) discharge, discharge value can be lower than X for enterprise, can extrapolate second of discharge of enterprise
Rule.
B) incidence relation of multiple-factor different time:
Other than the finding method of the rule of several polyfactorial incidence relations described before, it is directed to supervision class
The incidence relation of the polyfactorial different time of type, corresponding rule is found from the homogeneity attribute of same supervision type.
6) for the emission equivalent of row's mouth of same region same type:
Compared to enterprise of the same trade, range more factory includes different industry and enterprises for enterprise with supervision type.Different
Supervision type.Zonal enterprise, mainly for the region that industry is relatively concentrated, industry compares the region of concentration, and blowdown is concentrated
Region carry out rule searching.
A) incidence relation of single-factor different time:
The finding method of the incidence relation of the different time of single-factor with before, essential distinction are that the association in region is closed
System is more extensive, and the incidence relation between the factor is lower.
B) incidence relation of multiple-factor different time:
Other than the finding method of the rule of several polyfactorial incidence relations described before, it is directed to same region class
The incidence relation of the polyfactorial different time of type finds corresponding rule from the homogeneity attribute of the enterprise in same region.
Further, historical data extremely judge, to different enterprises, Pai Kou, with Graph One factor data fluctuation pattern carry out
Judgement, comprising:
The data for taking a period of time are described according to time x-axis and numerical value y-axis, take a smooth curve or area
Between can include all points, this curve or section are deviateed when being more than the parameter a of setting, deviation point is abnormal data
Point；
The mean square deviation data for evidence of fetching, mean square deviation occur being less than the data of setting limit value a, are abnormal data.
Further, in real time data judgement extremely, average value processing is carried out to nearly x days data, when there is Spline smoothing, is made
For abnormal data, comprising: nearly x days data mean values are y, a threshold value a are arranged, when the data of (x+1)th day are not at [x-a, x+a]
Range carries out abnormal data early warning.
Another object of the present invention is to provide a kind of abnormal datas for realizing the pollution sources environment automatic monitoring platform
The computer program of method for early warning.
Another object of the present invention is to provide a kind of abnormal datas for realizing the pollution sources environment automatic monitoring platform
The information data processing terminal of method for early warning.
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 abnormal data method for early warning of the pollution sources environment automatic monitoring platform.
Another object of the present invention is to provide a kind of abnormal data early warning systems of pollution sources environment automatic monitoring platform
Include:
Real time data exception judgment module, when there is Spline smoothing, is made for carrying out average value processing to nearly x days data
For abnormal data, abnormal data early warning is carried out；
Historical data exception judgment module, for different enterprises, Pai Kou, with Graph One factor data fluctuation pattern carry out
Judgement:
Repeated data exception judgment module, for issuing when the data for occurring some factor for a long time are invariable
Abnormity early warning.
Another object of the present invention is to provide a kind of abnormal numbers equipped with the pollution sources environment automatic monitoring platform
According to the information data processing terminal of early warning system.
Another object of the present invention is to provide a kind of abnormal numbers equipped with the pollution sources environment automatic monitoring platform
According to the prevention and control of pollution source monitor supervision platform of early warning system.
In conclusion advantages of the present invention and good effect are:
The present invention has found the rule between "abnormal" data, provides procuratorial organs corresponding decision references, can be significantly
Supervision of the raising to illegal enterprise, the strong protection to environment.
The social benefit that the design of system according to the invention can achieve:
(1) efficiency for improving monitoring abnormal data, increases the supervision to blowdown enterprise, prevents illegal enterprise from arranging in violation of rules and regulations
It puts, protects environment.
(2) find different/same to regions, supervision type, blowdown type, Emissions Factors waste water pipes, be used for environmental protection industry (epi)
Decision.Such as: the enterprise of same type, yield is different, and blowdown is similar, the blowdown flow rate of enterprise can be estimated in advance, for finding accurately
The different periods carries out blowdown (staggering time blowdown and concentration blowdown, the influence to environment are different).
(3) for illegal enterprise, intervene sewage draining exit blowdown using artificial means, effectively can prevent and prevent, mention
Monitoring of the high-environmental department to environment and the monitoring to blowdown enterprise.
(4) urban atmosphere, the prediction of urban environment are used for.Be conducive to construction of city afforestation, arrange the prison of different types
Enterprise is controlled, planning carries out blowdown improvement in specified city sites, fixed point.
Detailed description of the invention
Fig. 1 is the abnormal data method for early warning process of pollution sources environment automatic monitoring platform provided in an embodiment of the present invention
Figure.
Fig. 2 is the abnormal data early warning system signal of pollution sources environment automatic monitoring platform provided in an embodiment of the present invention
Figure.
In figure: 1, real time data exception judgment module；2, historical data exception judgment module；3, repeated data judges extremely
Module.
Fig. 3 is second existing for polyfactorial incidence relation provided in an embodiment of the present invention are as follows: the value x of the factor one and because
The value y's of son two is equal to a constant gradual change value figure with x+ay.
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.
The data of pollution source platform include: the essential information (enterprise name, enterprise address, business entity etc.) of enterprise, row
Dirty mouth type, pollution sources factor names, number adopt instrument model and relevant parameter information, have Real-time Monitoring Data in monitoring data, go through
History monitoring data, data are divided into 10 minutes mean datas, hour mean data, average daily Value Data.
Shown in Fig. 1, the abnormal data method for early warning of pollution sources environment automatic monitoring platform provided in an embodiment of the present invention, packet
It includes:
S101: real time data judges extremely, average value processing is carried out to nearly x days data, when there is Spline smoothing, as different
Regular data.Such as: nearly x days data mean values are y, a threshold value a are arranged, when the data of (x+1)th day are not in [x-a, x+a] model
It encloses, carries out abnormal data early warning.Equally, the handling as hour data to minute data.
S102: historical data judges that fluctuation pattern judges extremely: to same enterprise, same row mouthful, with the number of Graph One factor
According to, there is numerical fluctuations very little, and other enterprises, similarly arranges mouth, same factor data fluctuation but very big situation, as
Abnormal data.Such as: A enterprise is food processing enterprises, and for annual value of production 100,000,000, waste water arranges mouth ammonia nitrogen factor data often in 0.5
It is fluctuated between~1, and B enterprise and A enterprise are all instrument processing enterprise, for annual value of production 1,000 ten thousand, waste water arranges mouth ammonia nitrogen factor data
But change between 0.1~0.5.
S103: repeated data judges extremely, when the data that some factor occurs for a long time in some enterprise are invariable,
Issue abnormity early warning.
As shown in Fig. 2, the abnormal data early warning system of pollution sources environment automatic monitoring platform provided in an embodiment of the present invention
Include:
Real time data exception judgment module 1, when there is Spline smoothing, is made for carrying out average value processing to nearly x days data
For abnormal data, abnormal data early warning is carried out；
Historical data exception judgment module 2, for different enterprises, Pai Kou, with Graph One factor data fluctuation pattern into
Row judgement；
Repeated data exception judgment module 3, for issuing when the data for occurring some factor for a long time are invariable
Abnormity early warning.
Below with reference to concrete analysis, the invention will be further described.
The regular method provided in an embodiment of the present invention for finding normal blowdown data, comprising:
1) for the emission equivalent of the Emissions Factors of same row's mouth:
A) pass through a plurality of song by drawing the x-y curve of time and Emissions Factors with the emission equivalent of factor different time
The method that line is averaged gets the basis rule of same factor different time discharge；
B) incidence relation of multiple-factor different time, by take the discharge value of the different time difference factor mean difference or
Ratio gets the rule of incidence relation.
2) for the emission equivalent of the sewage of same type, exhaust gas row's mouth:
A) incidence relation of single-factor different time:
The method being compared with the data of period different time.Example: multiple enterprise's sewage rows such as A, B of 2017 terms are taken
Mouthful, the emissions data of the ammonia nitrogen factor, by the x-y curve 1 for drawing time and Emissions Factors；Take A, B of 2016 terms etc. multiple
The sewage of enterprise arranges mouth, ammonia nitrogen factor emissions data, by drawing the x-y curve 2 of time and Emissions Factors, curve 1 and curve 2
Proportionate relationship, difference relationship (being fluctuated within the scope of one) in same a period of time, such as January.Period can be taken as year,
Month, day, hour, then the emission equivalent of available respective cycle.
The method that the data of different cycles different time are compared.Example: the sewage of multiple enterprises such as A, B in 2017 is taken
Mouth, the emissions data of the ammonia nitrogen factor are arranged, setting threshold value is X, method one: the data of discharge value Time Continuous on X is taken, when obtaining
Between section Y；Method two takes continuous week section Y1 of the week discharge mean value on X1；Method three takes week discharge mean value on X2
Continuous month section Y2 makes comparisons according to resulting month section according to the annual time, it can be deduced that and day/week/
Month discharge because discharge ratio, the discharge relationship as the first different time.Second, according to different drain time sections,
It can be concluded that discharge value can be lower than X, can calculate when multiple enterprises such as A, B are after Y continuous (day/week/month) discharge
Second of emission equivalent of enterprise out.
B) incidence relation of multiple-factor different time:
The incidence relation of multiple-factor different time is more complicated one kind, and the incidence relation between them is most basic just
It is the factor of same type, might have multiple.Such as: the furnace temperature factor is divided into furnace temperature, middle furnace temperature, lower furnace temperature；PH value is often
Hydronitrogen appears in row's mouth simultaneously out.This incidence relation is with the related of chemical substance in itself, in other words
With the product of the production of enterprise, the chemical reaction of generation has direct relationship.According to polyfactorial while a possibility that occur,
It is divided into strong incidence relation and weak rigidity relationship.We make corresponding rule for the factor of strong incidence relation and search, for weak pass
The factor of connection relationship is grouped into other classification of this paper and carries out search relationship, such as: same to region, with supervision type multiple-factor it
Between incidence relation, this section is without repeating.
For the factor of strong incidence relation, can generally there be ratio discharge relationship.Such as: it is both the hospital of sewage discharge,
Ammonia nitrogen, the pH value factor, can occur simultaneously in the total residual chlorine factor of discharge, and instantaneous flow can relationship (positive correlation proportional to total residual chlorine
Or negatively correlated).One range [- a ,+a] is set, if the value of a is 0.3 hereinafter, illustrating two kinds of extremely low correlations of the factor, if high
In 0.9, even 1, illustrate that two kinds of factors are extremely related.
Second existing for polyfactorial incidence relation are as follows: the value of the value x of the factor one and the factor two y's and x+ay equal to one
A constant gradual change value.Such as Fig. 3
Polyfactorial incidence relation it is existing the third are as follows: the value of composite factor and the value of composite factor are proportional.Parsing
Illustrate composite factor be a variety of factors value and be averaged.
Equally be divided into: multiple-factor is the same as the data of period different time and two kinds of data of multiple-factor different cycles different time
Irregular manner.
3) for the emission equivalent of same enterprise's difference row's mouth:
A) incidence relation of single-factor different time:
With the method that the data of period different time are compared, the emission equivalent of synperiodic different row's mouths is obtained.Example:
Take enterprise A in 2017, the emissions data of No. 1 exhaust gas row's mouth SO2 factor, by the x-y curve 1 for drawing time and Emissions Factors；
No. 2 exhaust gas of 2017 term enterprise A are taken to arrange the emissions data of the mouth SO2 factor, by the x-y curve for drawing time and Emissions Factors
2, curve 1 and curve 2 in same a period of time, as the proportionate relationship in January, difference relationship, average value proportionate relationship (one
Fluctuation in a range).Period can be taken as year, the moon, day, hour, then the emission equivalent of available respective cycle.
The method that the data of different cycles different time are compared.Example: the sewage of enterprise in 2017 is taken to arrange mouth, ammonia nitrogen
The emissions data of the factor, setting threshold value are X, and method one: taking the data of discharge value Time Continuous on X, obtains period Y；Side
Method two takes continuous week section Y1 of the week discharge mean value on X1；Method three takes the continuous moon of the week discharge mean value on X2
Period Y2 is made comparisons according to the annual time according to resulting month section, it can be deduced that day/week/month discharge because
For discharge ratio, discharge relationship as the first different time.Second, according to different drain time sections, it can be deduced that
When multiple enterprises such as A, B are after Y continuous (day/week/month) discharge, discharge value can be lower than X, can extrapolate enterprise
Second of emission equivalent.
For example: the factor with enterprise compares, can be from the annual value of production of enterprise, production cycle, the production time of enterprise
The relationship of the angle consideration factor.Such as: enterprise A is the 6-8 month, 2 months time the production time in 2017；And in 2016
Production time is the 5-7 month, is all 2 months time.The product of identical yield is produced, the discharge relationship of pollutant can proportional phase
It closes.Same reason, when annual value of production of the enterprise in a certain year declines to a great extent, the discharge of pollution sources can also be reduced.
B) incidence relation of multiple-factor different time:
In addition to what is explained in the incidence relation rule of the multiple-factor different time with sewage, exhaust gas row's mouth for same type
In addition, the difference with the emission equivalent of the factor of enterprise is: as a referential, identical equipment is identical for enterprise itself
Product, identical pollutant effulent.From the point of view of row mouthful compared to the same type of different enterprises, there is closer homogeneity category
Property, the related law between the factor are more obvious.
The discharge and the production positive correlation of enterprise of pollution factor, according to the difference of production type, the ratio of the factor
Relationship etc..
4) for the emission equivalent of row's mouth of enterprise's same type of the same trade:
The same industry is compared to same enterprise, regular range more factory, and the enterprise for including is more.Emission equivalent is mainly for same
Industry and enterprise scale is close, and pollutant discharge of enterprise is proportional, and enterprise's production cycle close enterprise carries out regular lookup.Because of colleague
The enterprise of industry, may be different due to the business circumstance of enterprise, can there is very big difference, and blowdown is raw again by sewage treatment equipment
Produce the difference of situation and different.So needing to remove the factor of interference when rule is found.From 3 kinds of methods before
On the basis of, and then find the rule of more extensive Emissions Factors.
A) incidence relation of single-factor different time:
With the method that the data of period different time are compared, the emission equivalent of synperiodic different row's mouths is obtained.Example:
Same production product of the same trade in 2017, the close enterprise A of scale (the production output value, raw material use) are taken, No. 1 exhaust gas arranges mouth SO2
The emissions data of the factor, by the x-y curve 1 for drawing time and Emissions Factors；Taking for 2017 terms is all automobile industry enterprise B
The emissions data of No. 1 exhaust gas row's mouth SO2 factor, by drawing the x-y curve 2 of time and Emissions Factors, curve 1 and curve 2 exist
Same a period of time, such as the proportionate relationship in January, the proportionate relationship (being fluctuated within the scope of one) of difference relationship, average value.Week
Phase can be taken as year, the moon, day, hour, then the emission equivalent of available respective cycle.
The method that the data of different cycles different time are compared.Example: same production product of the same trade in 2017, scale are taken
Sewage row's mouth of (the production output value, raw material use) close enterprise A, B, the emissions data of the ammonia nitrogen factor, setting threshold value is X,
Method one: taking the data of discharge value Time Continuous on X, obtains period Y；Method two takes company of the week discharge mean value on X1
Continuous week section Y1；Method three takes continuous month section Y2 of the week discharge mean value on X2, according to resulting month
Section is made comparisons according to the annual time, it can be deduced that day/week/month discharge because discharge ratio, not as the first
With the discharge relationship of time.Second, according to different drain time sections, it can be deduced that when multiple enterprises such as A, B are continuous up to Y
(day/week/month) discharge after, discharge value can be lower than X, second of emission equivalent of enterprise can be extrapolated.
B) incidence relation of multiple-factor different time:
Other than the finding method of the rule of the incidence relation of several polyfactorial different times described before, for
In the incidence relation of polyfactorial different time of the same trade, corresponding rule is found from homogeneity attribute of the same trade.
For example: identical industry, for example, automobile industry or be garbage disposal industry enterprise, produce opposite collection
In, emission of substance is close, and discharge standard is identical；Annual business circumstance and the condition of production is more close.According to enterprise of the same trade
Screening technique take A, n enterprise of B, C, D ..., emission factor 1 having the same, the factor 2, the factor 3.Take 2017 daily
Take a day data, the factor 1 average value x1, the average value x2 of the factor 2, the average value x3 of the factor 3.It is the discharge number of the factor according to x-axis
Value, y-axis are the standard deviation of the data of the factor and the difference of average value, graphing.The center of the point of point Relatively centralized is taken, is drawn
The circle of radius R, the region of the circle of intersection: being the discharge areas more concentrated of the factor, can be with according still further to time, discharge period
Further find its emission equivalent.
5) for the emission equivalent of row's mouth of enterprise's same type of same supervision type:
Compared to enterprise of the same trade, range more factory includes different industry and enterprises for enterprise with supervision type.For not
The pollution emission standard of same supervision type, enterprise is different, and the factor of monitoring also can be different.
Supervision type is divided into: state's control, province's control, city is controlled and other.On the basis of 4 kinds of methods before, and then find more
For the rule of extensive Emissions Factors.It is specific as follows:
A) incidence relation of single-factor different time:
With the method that the data of period different time are compared, the emission equivalent of synperiodic different row's mouths is obtained.Example:
Take same supervision type, the same industry in 2017, or the enterprise close with production product and scale (the production output value, raw material use)
A, the emissions data of No. 1 exhaust gas row's mouth SO2 factor, by the x-y curve 1 for drawing time and Emissions Factors；Took for 2017 terms same
Supervision type, the same industry, or No. 1 exhaust gas with the close enterprise B of production product and scale (the production output value, raw material use)
The emissions data for arranging the mouth SO2 factor, by drawing the x-y curve 2 of time and Emissions Factors, curve 1 and curve 2 are in the same time
Period, such as the proportionate relationship in January, the proportionate relationship (being fluctuated within the scope of one) of difference relationship, average value.Period can take
For year, the moon, day, hour, then the emission equivalent of available respective cycle.
The method that the data of different cycles different time are compared.Example: taking same supervision type, the same industry in 2017, or
Sewage row mouth of the person with production product and scale (the production output value, raw material use) close enterprise A, B, the discharge of the ammonia nitrogen factor
Data, setting threshold value are X, and method one: taking the data of discharge value Time Continuous on X, obtains period Y；Method two takes all rows
Put continuous week section Y1 of the mean value on X1；Method three takes continuous month section Y2 of the week discharge mean value on X2, root
According to resulting month section, make comparisons according to the annual time, it can be deduced that day/week/month discharge because discharge ratio
Rate, the discharge relationship as the first different time.Second, according to different drain time sections, it can be deduced that when A, B etc. are multiple
After Y continuous (day/week/month) discharge, discharge value can be lower than X for enterprise, can extrapolate second of discharge of enterprise
Rule.
B) incidence relation of multiple-factor different time:
Other than the finding method of the rule of several polyfactorial incidence relations described before, it is directed to supervision class
The incidence relation of the polyfactorial different time of type, corresponding rule is found from the homogeneity attribute of same supervision type.
For example: with the enterprise of supervision type, the standard of discharge is identical, then can have different business circumstance, no
The enterprise of the same scale of construction, the difference of the amount of the pollutant of discharge.Total cognition control is mutually being positively correlated ratio with firms output
In range, focusing on for incidence relation is found: taking same supervision type, with sewage draining exit type, with the business data of Emissions Factors
Carry out the searching of multiple-factor incidence relation.
With in supervision type, there can be the enterprise of enterprise and different industries of the same trade.The difference of supervision type, the factor
Discharge standard is different.According to identical management classification, the factor of identical discharge standard is taken as a comparison, finding the discharge of the factor
Rule.
6) for the emission equivalent of row's mouth of same region same type:
Compared to enterprise of the same trade, range more factory includes different industry and enterprises for enterprise with supervision type.Different
Supervision type.Zonal enterprise, mainly for the region that industry is relatively concentrated, industry compares the region of concentration, and blowdown is concentrated
Region carry out rule searching.
A) incidence relation of single-factor different time:
The finding method of the incidence relation of the different time of single-factor with before.
Its essential distinction is that the incidence relation in region is more extensive, and the incidence relation between the factor is lower.
B) incidence relation of multiple-factor different time:
Other than the finding method of the rule of several polyfactorial incidence relations described before, it is directed to same region class
The incidence relation of the polyfactorial different time of type finds corresponding rule from the homogeneity attribute of the enterprise in same region.
For example: with the enterprise in region, environmental factor is substantially the same (including weather, temperature and humidity etc.), the development of enterprise
The blowdown of horizontal relatively the same (i.e. the economic level in region is substantially the same), the output, enterprise that determine enterprise is horizontal；Same region
Enterprise, the management in region is substantially the same, i.e. region has region characteristic to the requirement in corporate environment, then enterprise can needle
Disposal of pollutants is carried out to zonal environmental requirement, discharge has homogeney (temporal homogeney, the homogeneity of production time
Property, the homogeney for the type that discharges pollutants).
With in region, having different supervision types, the enterprise of different industries, different factor discharge standards.According to
Identical territorial classification enterprise takes identical multiple Monitoring factors as a comparison, finding the emission equivalent of the factor.
Historical data judges extremely, judges to different enterprises, Pai Kou, with the fluctuation patterns of the data of Graph One factor, wraps
It includes:
The data for taking a period of time are described according to time x-axis and numerical value y-axis, take a smooth curve or area
Between can include all points, this curve or section are deviateed when being more than the parameter a of setting, deviation point is abnormal data
Point；
The mean square deviation data for evidence of fetching, mean square deviation occur being less than the data of setting limit value a, are abnormal data.
In real time data judgement extremely, average value processing is carried out to nearly x days data, when there is Spline smoothing, as exception
Data, comprising: nearly x day data mean values are y, and a threshold value a is arranged, when the data of (x+1)th day are not in [x-a, x+a] range,
Carry out abnormal data early warning.
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 abnormal data method for early warning of pollution sources environment automatic monitoring platform, which is characterized in that the pollution sources environment
Automatically the abnormal data method for early warning of monitoring platform includes:
It finds the regular method of normal blowdown data: according to time cycle property, aperiodicity, data being divided according to the period
Class is found；Arrangement group is carried out according to the factor, sewage draining exit, enterprise's supervision type, enterprise region, the association attributes of enterprise and time
It closes, searches out the emission equivalent of the corresponding factor；
Real time data judges extremely: mean value carried out to nearly x days data or the difference of two squares is handled, when there is Spline smoothing, as
Abnormal data carries out abnormal data early warning；
Historical data judges extremely: judging to different enterprises, Pai Kou, with the fluctuation patterns of the data of Graph One factor, when normal
Upload data, occur with rule be not inconsistent when, the abnormal data as suspection；By manually verifying, picture video candid photograph side
The combination of formula carries out the judgement of repetition/periodic regularity data exception.
2. the abnormal data method for early warning of pollution sources environment automatic monitoring platform as described in claim 1, which is characterized in that seek
The regular method of the normal blowdown data of centering, comprising:
1) for the emission equivalent of the Emissions Factors of same row's mouth:
A) it is taken by drawing the x-y curve of time and Emissions Factors by a plurality of curve with the emission equivalent of factor different time
Average method gets the basis rule of same factor different time discharge；
B) incidence relation of multiple-factor different time, by the mean difference or ratio that take the discharge value of the different time difference factor
Value, gets the rule of incidence relation.
2) for the emission equivalent of the sewage of same type, exhaust gas row's mouth, comprising:
The incidence relation of single-factor different time:
The method being compared with the data of period different time；
The method that the data of different cycles different time are compared.
The incidence relation of multiple-factor different time:
For the factor of strong incidence relation, there are ratios to discharge relationship, a range [- a ,+a] is arranged, the value of a is less than 0.3, two
The kind extremely low correlation of the factor is higher than 0.9, even 1, and two kinds of factors are extremely related；
Polyfactorial incidence relation there are the value of the value x of the factor one and the factor two y's and x+ay equal to a constant gradual change value；
That there are the values of composite factor is proportional to the value of composite factor for polyfactorial incidence relation.
3) for the emission equivalent of same enterprise's difference row's mouth:
The incidence relation of single-factor different time:
With the method that the data of period different time are compared, the emission equivalent of synperiodic different row's mouths is obtained；
The method that the data of different cycles different time are compared.
4) for the emission equivalent of row's mouth of enterprise's same type of the same trade, comprising:
The incidence relation of single-factor different time:
With the method that the data of period different time are compared, the emission equivalent of synperiodic different row's mouths is obtained；
The method that the data of different cycles different time are compared.
The incidence relation of multiple-factor different time:
Corresponding rule is found from homogeneity attribute of the same trade.
5) for the emission equivalent of row's mouth of enterprise's same type of same supervision type, comprising:
The incidence relation of single-factor different time:
With the method that the data of period different time are compared, the emission equivalent of synperiodic different row's mouths is obtained；
The method that the data of different cycles different time are compared.
The incidence relation of multiple-factor different time:
Corresponding rule is found from the homogeneity attribute of same supervision type.
6) for the emission equivalent of row's mouth of same region same type, comprising:
The incidence relation of single-factor different time:
The finding method of the incidence relation of the different time of single-factor with before.
The incidence relation of multiple-factor different time:
Corresponding rule is found from the homogeneity attribute of the enterprise in same region.
3. the abnormal data method for early warning of pollution sources environment automatic monitoring platform as described in claim 1, which is characterized in that go through
The judgement of history data exception judges to different enterprises, Pai Kou, with the fluctuation patterns of the data of Graph One factor, comprising:
The data for taking a period of time are described according to time x-axis and numerical value y-axis, take a smooth curve or section energy
It enough include all points, when deviateing the parameter a more than setting for this curve or section, deviation point is abnormal data
Point；
The mean square deviation data for evidence of fetching, mean square deviation occur being less than the data of setting limit value a, are abnormal data.
4. the abnormal data method for early warning of pollution sources environment automatic monitoring platform as described in claim 1, which is characterized in that real
When data exception judgement in, to nearly x day data progress average value processing, when there is Spline smoothing, as abnormal data, comprising:
Nearly x days data mean values are y, and a threshold value a is arranged, and when the data of (x+1)th day are not in [x-a, x+a] range, progress is different
Regular data early warning.
5. a kind of pre- police of abnormal data for realizing pollution sources environment automatic monitoring platform described in Claims 1 to 4 any one
The computer program of method.
6. a kind of pre- police of abnormal data for realizing pollution sources environment automatic monitoring platform described in Claims 1 to 4 any one
The information data processing terminal of method.
7. a kind of computer readable storage medium, including instruction, when run on a computer, so that computer is executed as weighed
Benefit requires the abnormal data method for early warning of pollution sources environment automatic monitoring platform described in 1-4 any one.
8. a kind of pollution sources ring of the abnormal data method for early warning of pollution sources environment automatic monitoring platform as described in claim 1
The abnormal data early warning system of the automatic monitoring platform in border, which is characterized in that the exception of the pollution sources environment automatic monitoring platform
Data early warning system includes:
Real time data exception judgment module, for carrying out average value processing to nearly x days data, when there is Spline smoothing, as different
Regular data carries out abnormal data early warning；
Historical data exception judgment module, for sentencing to different enterprises, Pai Kou, with the fluctuation patterns of the data of Graph One factor
It is disconnected:
Repeated data exception judgment module, for issuing abnormal when the data for occurring some factor for a long time are invariable
Early warning.
9. a kind of Information Number equipped with the abnormal data early warning system of pollution sources environment automatic monitoring platform described in claim 8
According to processing terminal.
10. a kind of pollution equipped with the abnormal data early warning system of pollution sources environment automatic monitoring platform described in claim 8
Monitor supervision platform is administered in source.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810673711.3A CN109100468A (en) | 2018-06-26 | 2018-06-26 | A kind of the abnormal data early warning system and method for pollution sources environment automatic monitoring platform |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810673711.3A CN109100468A (en) | 2018-06-26 | 2018-06-26 | A kind of the abnormal data early warning system and method for pollution sources environment automatic monitoring platform |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109100468A true CN109100468A (en) | 2018-12-28 |
Family
ID=64845078
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810673711.3A Pending CN109100468A (en) | 2018-06-26 | 2018-06-26 | A kind of the abnormal data early warning system and method for pollution sources environment automatic monitoring platform |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109100468A (en) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110836952A (en) * | 2019-09-29 | 2020-02-25 | 北京众蓝科技有限公司 | Air quality forecasting method and device for adjusting emission source list by using emission source monitoring data |
| CN111652450A (en) * | 2020-08-05 | 2020-09-11 | 浙江力嘉电子科技有限公司 | Abnormal detection system and method for pollution discharge behavior, electronic device and storage medium |
| CN113012388A (en) * | 2021-02-19 | 2021-06-22 | 浙江清之元信息科技有限公司 | Pollution source online monitoring system and online monitoring data false identification analysis method |
| CN113655189A (en) * | 2021-03-31 | 2021-11-16 | 吴超烽 | Automatic monitoring data analysis and judgment system for pollution source |
| CN114110434A (en) * | 2021-11-23 | 2022-03-01 | 中海石油气电集团有限责任公司 | Online digital energy-saving diagnosis and regulation and control method and system for LNG receiving station |
| CN114662981A (en) * | 2022-04-15 | 2022-06-24 | 广东柯内特环境科技有限公司 | Pollution source enterprise supervision method based on big data application |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2005020124A1 (en) * | 2003-08-15 | 2005-03-03 | Modular Mining Systems, Inc. | Interactive maintenance management alarm handling |
| CN102419584A (en) * | 2011-11-30 | 2012-04-18 | 锦州华冠环境科技实业公司 | Method of estimating and evaluating emission law of pollution source by using internet of things and internet-of-things controller |
| CN102980983A (en) * | 2012-11-28 | 2013-03-20 | 广州中国科学院沈阳自动化研究所分所 | Online monitoring analyzer and monitoring system for sewage biotoxicity |
| CN103823035A (en) * | 2014-01-09 | 2014-05-28 | 南通大学 | Three-in-one water quality risk early warning system of water supply enterprise |
| KR20140147621A (en) * | 2013-06-20 | 2014-12-30 | 한국전자통신연구원 | Apparatus and Method for Fault Control of Water Quality Sensor |
| CN104280791A (en) * | 2014-09-26 | 2015-01-14 | 宁波绮耘软件有限公司 | Meteorological data quality control and processing method and system |
| CN104807678A (en) * | 2014-02-28 | 2015-07-29 | 中国农业科学院农业环境与可持续发展研究所 | Livestock and poultry waste management gas discharge determination device |
| US20170078901A1 (en) * | 2014-05-30 | 2017-03-16 | Hitachi Kokusai Electric Inc. | Wireless communication device and wireless communication system |
| CN107402547A (en) * | 2017-08-29 | 2017-11-28 | 北京易沃特科技有限公司 | Unit exception detection method and system based on the point analysis that peels off |
| CN107677614A (en) * | 2017-10-16 | 2018-02-09 | 广东省测试分析研究所（中国广州分析测试中心） | Heavy metal pollution risk on-line early warning system and method in a kind of water |
| CN108132340A (en) * | 2017-12-14 | 2018-06-08 | 浙江大学 | A kind of river Multi-sensor Fusion upstream and downstream pollution prewarning system and method |
-
2018
- 2018-06-26 CN CN201810673711.3A patent/CN109100468A/en active Pending
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2005020124A1 (en) * | 2003-08-15 | 2005-03-03 | Modular Mining Systems, Inc. | Interactive maintenance management alarm handling |
| CN102419584A (en) * | 2011-11-30 | 2012-04-18 | 锦州华冠环境科技实业公司 | Method of estimating and evaluating emission law of pollution source by using internet of things and internet-of-things controller |
| CN102980983A (en) * | 2012-11-28 | 2013-03-20 | 广州中国科学院沈阳自动化研究所分所 | Online monitoring analyzer and monitoring system for sewage biotoxicity |
| KR20140147621A (en) * | 2013-06-20 | 2014-12-30 | 한국전자통신연구원 | Apparatus and Method for Fault Control of Water Quality Sensor |
| CN103823035A (en) * | 2014-01-09 | 2014-05-28 | 南通大学 | Three-in-one water quality risk early warning system of water supply enterprise |
| CN104807678A (en) * | 2014-02-28 | 2015-07-29 | 中国农业科学院农业环境与可持续发展研究所 | Livestock and poultry waste management gas discharge determination device |
| US20170078901A1 (en) * | 2014-05-30 | 2017-03-16 | Hitachi Kokusai Electric Inc. | Wireless communication device and wireless communication system |
| CN104280791A (en) * | 2014-09-26 | 2015-01-14 | 宁波绮耘软件有限公司 | Meteorological data quality control and processing method and system |
| CN107402547A (en) * | 2017-08-29 | 2017-11-28 | 北京易沃特科技有限公司 | Unit exception detection method and system based on the point analysis that peels off |
| CN107677614A (en) * | 2017-10-16 | 2018-02-09 | 广东省测试分析研究所（中国广州分析测试中心） | Heavy metal pollution risk on-line early warning system and method in a kind of water |
| CN108132340A (en) * | 2017-12-14 | 2018-06-08 | 浙江大学 | A kind of river Multi-sensor Fusion upstream and downstream pollution prewarning system and method |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110836952A (en) * | 2019-09-29 | 2020-02-25 | 北京众蓝科技有限公司 | Air quality forecasting method and device for adjusting emission source list by using emission source monitoring data |
| CN111652450A (en) * | 2020-08-05 | 2020-09-11 | 浙江力嘉电子科技有限公司 | Abnormal detection system and method for pollution discharge behavior, electronic device and storage medium |
| CN113012388A (en) * | 2021-02-19 | 2021-06-22 | 浙江清之元信息科技有限公司 | Pollution source online monitoring system and online monitoring data false identification analysis method |
| CN113655189A (en) * | 2021-03-31 | 2021-11-16 | 吴超烽 | Automatic monitoring data analysis and judgment system for pollution source |
| CN114110434A (en) * | 2021-11-23 | 2022-03-01 | 中海石油气电集团有限责任公司 | Online digital energy-saving diagnosis and regulation and control method and system for LNG receiving station |
| CN114110434B (en) * | 2021-11-23 | 2023-10-27 | 中海石油气电集团有限责任公司 | Online digital energy-saving diagnosis and regulation method and system for LNG receiving station |
| CN114662981A (en) * | 2022-04-15 | 2022-06-24 | 广东柯内特环境科技有限公司 | Pollution source enterprise supervision method based on big data application |
| CN114662981B (en) * | 2022-04-15 | 2023-01-03 | 广东柯内特环境科技有限公司 | Pollution source enterprise supervision method based on big data application |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109100468A (en) | A kind of the abnormal data early warning system and method for pollution sources environment automatic monitoring platform | |
| WO2020010701A1 (en) | Pollutant anomaly monitoring method and system, computer device, and storage medium | |
| EP2472467B1 (en) | System and method for monitoring resources in a water utility network | |
| CN111738549A (en) | Food safety risk assessment method, device, equipment and storage medium | |
| CN108510248A (en) | A kind of construction project environment approval system of overall monitor | |
| CN109767084A (en) | A kind of method and apparatus of environmental acts of enterprises analysis processing | |
| Yeruva | Monitoring Data Center Site Infrastructure Using AIOPS Architecture.(p. 265). | |
| CN111275333A (en) | Pollution data processing method and device | |
| CN107292501A (en) | A kind of method and apparatus for assessing the effluent monitoring quality of data | |
| CN114912787A (en) | Intelligent assessment method for enterprise dangerous waste concealing, reporting and missing reporting risks | |
| CN113012388B (en) | Pollution source online monitoring system and online monitoring data false identification analysis method | |
| CN111310803B (en) | Environment data processing method and device | |
| CN104091061B (en) | Method for using normal distribution for assisting in determining effectiveness of pollution source monitoring data | |
| Du et al. | Analysis of spatial-temporal association and factors influencing environmental pollution incidents in China | |
| CN114519524A (en) | Enterprise risk early warning method and device based on knowledge graph and storage medium | |
| CN115860118A (en) | Safety construction method and system of intelligent pipe network knowledge model | |
| CN112351169A (en) | Off-site law enforcement overall process supervision system for environment law enforcement management | |
| CN112906738A (en) | Water quality detection and treatment method | |
| CN115883163A (en) | Network safety alarm monitoring method | |
| CN111339499A (en) | Sewage treatment plant running state evaluation method based on time trajectory similarity | |
| CN110471329A (en) | A kind of water quality monitoring and managing method and device, equipment, medium based on block catenary system | |
| CN108346111B (en) | Method and device for evaluating leakage risk of gathering and transportation pipe network | |
| CN116822149A (en) | Construction method of water quality target circulation assessment system supported by differential pollution discharge permission limit value verification technology | |
| CN111027803A (en) | Construction management method and construction management system | |
| CN109493571A (en) | A kind of alarm system based on radiation environmental monitoring data |
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 | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20181228 |