CN103728891B - Method and device for controlling water quality on-line monitoring data - Google Patents
Method and device for controlling water quality on-line monitoring data Download PDFInfo
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- CN103728891B CN103728891B CN201310727572.5A CN201310727572A CN103728891B CN 103728891 B CN103728891 B CN 103728891B CN 201310727572 A CN201310727572 A CN 201310727572A CN 103728891 B CN103728891 B CN 103728891B
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Abstract
The invention discloses a method and device for controlling water quality on-line monitoring data. The method includes the following steps that the monitoring data and quality control data of on-spot detection of a water quality monitoring device are received, and the monitoring data have the properties of the monitoring factor, the monitoring time and the monitoring value and include standard sample examining data and/or adding standard recovery rate data; whether the monitoring data are valid or not is judged according to the quality control data; the monitoring data are output and the output monitoring data have the validity property or the invalidity property. According to the method and device for controlling the water quality on-line monitoring data, the evidence of the accuracy of the monitoring data of an on-line analyzer is automatically achieved by receiving the monitoring data and the quality control data of on-spot detection of the water quality monitoring device and judging the accuracy of the monitoring data according to the evidence manner of the quality control data. The problems of complex operation and low efficiency in a laboratory are solved, wherein the problems are caused by manual analysis and manual data input. In addition, on-line detection of water samples is ensured, and the method and device for controlling the water quality on-line monitoring data are automatic and intelligent in control process, timely in detection, high in detection frequency and capable of practically ensuring the accuracy of the monitoring data.
Description
Technical field
The present invention relates to water quality monitoring field, especially, it is related to a kind of control method of monitoring water quality on line data and dress
Put.
Background technology
, there is the automatic monitoring to water quality for the in-line analyzer in existing water quality monitoring field, but what in-line analyzer was monitored
Data accuracy need to verify further.Typically to prove by the way of manpower comparing is to monitoring, manually arrive collection in worksite
Water sample, takes laboratory and does Manual analysis, will the result manual input system that obtains of analysis, then with Water Test Kits on-line monitoring
Data Comparison come to prove in-line analyzer monitoring data whether accurately, but there is following defect in existing evidence mode：
1st, the craft evidence mode of lab analysis needs to consume substantial amounts of manpower and materials, and inefficiency is it is impossible to accomplish
In time, high-frequency detection；
2nd, the result of manual test needs manual entry system, easily erroneous input, causes data deviation；
3rd, from extracting water sample to laboratory chemical analysis certain time interval, water sample is easily interfered or rotten；
4th, laboratory artificial chemistry analysis causes certain harm to the body of operating personnel.
Content of the invention
Present invention aim at providing a kind of control method of monitoring water quality on line data and device, with solve existing
The data of line analysis instrument monitoring needs that the laboratory detection efficiency that leads to of evidence is low, water sample is easily interfered or rotten and detect
Process easily causes the technical problem of hazard to person etc..
For achieving the above object, the technical solution used in the present invention is as follows：
According to an aspect of the present invention, provide a kind of control method of monitoring water quality on line data, this is used for water quality and exists
The control method of line Monitoring Data includes：
Receive water quality monitoring device context detection Monitoring Data and Quality Control data, wherein, Monitoring Data include monitor because
Son, monitoring time, the attribute of monitor value, Quality Control data includes standard specimen and verifies data and/or recovery of standard addition data；
Judge whether Monitoring Data is effective according to Quality Control data；
Output Monitoring Data, whether effectively the Monitoring Data of output carries attribute.
Further, whether effectively Monitoring Data is judged according to Quality Control data, including at least one of：
Verify whether data exceeds predictive error according to Monitoring Data corresponding monitoring time point standard specimen in Preset Time
Rate, if without departing from predictive error rate, Monitoring Data is effective；
According to Monitoring Data corresponding monitoring time point, in Preset Time, whether recovery of standard addition data is missed beyond predetermined
Difference scope, if without departing from predictive error scope, Monitoring Data is effective；
Verify whether data exceeds predictive error according to Monitoring Data corresponding monitoring time point standard specimen in Preset Time
Whether rate and recovery of standard addition data exceed predictive error scope, and when standard specimen verifies data, without departing from predictive error rate and mark-on returns
, without departing from predictive error scope, Monitoring Data is effective for yield data.
Further, when the Monitoring Data receiving and Quality Control data are data packet form, also include：Reception is comprised
The packet of Monitoring Data and Quality Control data is parsed, to obtain Monitoring Data and Quality Control data.
Further, after obtaining Monitoring Data and Quality Control data after parsing, also include：
Store obtaining Monitoring Data and Quality Control data after parsing to relational database according to after monitoring association in time.
Further, after output Monitoring Data, also include：
By output, effectively whether with, the Monitoring Data of attribute carries out report display by form.
According to a further aspect in the invention, also provide a kind of control device of monitoring water quality on line data.This water quality is online
The control device of Monitoring Data includes：
Receiving unit, for receiving Monitoring Data and the Quality Control data of the detection of water quality monitoring device context, Monitoring Data has
There are Monitoring factors, monitoring time, the attribute of monitor value, Quality Control data includes standard specimen and verifies data and/or recovery of standard addition data；
According to Quality Control data, Quality Control judging unit, for judging whether Monitoring Data is effective；
Output unit, for exporting Monitoring Data, whether effectively the Monitoring Data of output carries attribute.
Further, Quality Control judging unit includes at least one of：
First Quality Control judge module, for verifying according to Monitoring Data corresponding monitoring time point standard specimen in Preset Time
Whether data exceeds predictive error rate, if without departing from predictive error rate, Monitoring Data is effective；
Second Quality Control judge module, for according to Monitoring Data corresponding monitoring time point mark-on reclaims in Preset Time
Whether rate data exceeds predictive error scope, if without departing from predictive error scope, Monitoring Data is effective；
3rd Quality Control judge module, for verifying according to Monitoring Data corresponding monitoring time point standard specimen in Preset Time
Whether whether data exceed predictive error scope beyond predictive error rate and recovery of standard addition data, verifies data when standard specimen and does not surpass
Go out predictive error rate and recovery of standard addition data is without departing from predictive error scope, then Monitoring Data is effective.
Further, the control device of this monitoring water quality on line data also includes：
Resolution unit, for when the Monitoring Data receiving and Quality Control data are data packet form, comprising prison to receive
Survey data and the packet of Quality Control data is parsed, to obtain Monitoring Data and Quality Control data.
Further, the control device of this monitoring water quality on line data also includes：
Relational database loading unit, for when obtaining after Monitoring Data and Quality Control data after parsing, obtaining after parsing
Monitoring Data and Quality Control data store to relational database according to after monitoring association in time.
Further, the control device of this monitoring water quality on line data also includes：
Display unit, for by output, whether with effectively, the Monitoring Data of attribute carries out form by form and shows
Show.
The invention has the advantages that：
The control method of monitoring water quality on line data of the present invention and device, by receiving the detection of water quality monitoring device context
Monitoring Data and Quality Control data, and the accuracy of Monitoring Data is judged according to the evidence mode of Quality Control data, it is automatically obtained
Evidence to the accuracy of in-line analyzer Monitoring Data, both avoided that laboratory manual analysis leads to is manually entered data band
The complex operation that comes, inefficiency, in turn ensure that the on-line checking of water sample, it is to avoid water sample is sampled to be led to lab analysis
Pollution or the problem that is disturbed, and control process automated intelligent of the present invention, detection in time, detection frequency high, can be practical
Ensure the accuracy of Monitoring Data.
In addition to objects, features and advantages described above, the present invention also has other objects, features and advantages.
Below with reference to figure, the present invention is further detailed explanation.
Brief description
The accompanying drawing constituting the part of the application is used for providing a further understanding of the present invention, the schematic reality of the present invention
Apply example and its illustrate, for explaining the present invention, not constituting inappropriate limitation of the present invention.In the accompanying drawings：
Fig. 1 is the structural representation of the control device of monitoring water quality on line data of first embodiment of the invention；
Fig. 2 is the structural representation of the control device of monitoring water quality on line data of second embodiment of the invention；
Fig. 3 is the structural representation of the control device of monitoring water quality on line data of third embodiment of the invention；
Fig. 4 is the steps flow chart schematic diagram of the control method of monitoring water quality on line data of first embodiment of the invention；
Fig. 5 is the steps flow chart schematic diagram of the control method of monitoring water quality on line data of second embodiment of the invention；With
And
Fig. 6 is the steps flow chart schematic diagram of the control method of monitoring water quality on line data of third embodiment of the invention.
Specific embodiment
Below in conjunction with accompanying drawing, embodiments of the invention are described in detail, but the present invention can be defined by the claims
Implement with the multitude of different ways covering.
In order that those skilled in the art more fully understand the present invention program, below in conjunction with the embodiment of the present invention
Accompanying drawing, is clearly and completely described to the technical scheme in the embodiment of the present invention it is clear that described embodiment is only
The embodiment of a present invention part, rather than whole embodiments.Based on the embodiment in the present invention, ordinary skill people
The every other embodiment that member is obtained under the premise of not making creative work, all should belong to the model of present invention protection
Enclose.
It should be noted that term " comprising " and " having " in description and claims of this specification and they
Any deformation it is intended that covering non-exclusive comprising, for example, contain the process of series of steps or unit, method, be
System, product or equipment are not necessarily limited to those steps or the unit clearly listed, but may include clearly not listing or
For these processes, method, product or the intrinsic other steps of equipment or unit.
The preferred embodiments of the present invention provide a kind of control device for monitoring water quality on line data, and this device is permissible
Its function is realized by computer equipment.
Fig. 1 is the structural representation of the control device for monitoring water quality on line data of first embodiment of the invention.Ginseng
According to Fig. 1, the control device of this monitoring water quality on line data includes：Receiving unit 10, Quality Control judging unit 20 and output unit 30.
Wherein：
Receiving unit 10 is used for receiving Monitoring Data and the Quality Control data of the detection of water quality monitoring device context, and Monitoring Data has
There are Monitoring factors, monitoring time, the attribute of monitor value, Quality Control data includes standard specimen and verifies data and/or recovery of standard addition data.
Water quality monitoring equipment is the on-line data acquisition instrument with data acquisition function, such as in-line analyzer, positioned at monitoring
The in-line analyzer at end can carry out parameter monitoring to water sample to be measured, is such as included：Permanganate index, Cr VI, fluorination
The monitoring of the conventional parameters such as thing, sulfide, the Monitoring Data that its on-line checking obtains has Monitoring factors, monitoring time, monitoring
The attribute of value；It is also equipped with the function of automatic data collection Quality Control data.Quality Control data in the present embodiment includes：Standard specimen verifies data
And/or recovery of standard addition data.Wherein, standard specimen is verified data and is joined for the standard sample of concentration known for in-line analyzer
Number test verifies data to obtain standard specimen；Recovery of standard addition data for in-line analyzer add in water sample to be measured a certain amount of
Know the data that the standard sample laggard line parameter test of concentration obtains, the computing formula of recovery of standard addition is：Recovery of standard addition=
(mark-on Specimen Determination value-Specimen Determination value)/mark-on amount × 100%, by judging whether recovery of standard addition meets setting range
To detect the interference free performance of online water analysis instrument.After in-line analyzer Site Detection obtains Monitoring Data and Quality Control data,
Monitoring Data and Quality Control data are uploaded by the specification that communications protocol interface presses communications protocol interface module, communications protocol interface is advised
Fixed every class data is identified by command code CN, and for example, CN=8051 represents Monitoring Data, and CN=3016 represents that standard specimen verifies data,
CN=3005 represents recovery of standard addition data.In-line analyzer passes through communications protocol interface and automatically uploads Monitoring Data and matter in real time
Control data is to Monitoring Data intelligent appraisement system.
Quality Control judging unit 20 is used for judging that whether effectively Monitoring Data, specifically includes according to Quality Control data：
Verify whether data exceeds predictive error according to Monitoring Data corresponding monitoring time point standard specimen in Preset Time
Rate, if without departing from predictive error rate, Monitoring Data is effective；Or
According to Monitoring Data corresponding monitoring time point, in Preset Time, whether recovery of standard addition data is missed beyond predetermined
Difference scope, if without departing from predictive error scope, Monitoring Data is effective；Or
According to Monitoring Data corresponding monitoring time point in Preset Time, standard specimen verifies whether data exceeds predictive error
Whether rate and recovery of standard addition data exceed predictive error scope, and when standard specimen verifies data, without departing from predictive error rate and mark-on returns
, without departing from predictive error scope, Monitoring Data is effective for yield data.
When the validity that data to judge Monitoring Data being verified using standard specimen in the present embodiment, corresponded to according to this Monitoring Data
Monitoring time point, the standard specimen transferring 24 hours before and after this monitoring time point verifies data, if standard specimen verifies the error rate of data
All within 10%, then the value that can prove this Monitoring Data is accurate, and it is that in-line analyzer is tested that standard specimen verifies data
Know the value of concentration samples, the computing formula of error rate is：Error rate=(| (value-concentration known value of test concentration known sample)
|/concentration known value) * 100%.
To be judged using recovery of standard addition data in the present embodiment Monitoring Data validity when, according to this Monitoring Data pair
The monitoring time point answered, transfers the recovery of standard addition data of 24 hours before and after this monitoring time point, if recovery of standard addition all exists
80%～120% scope, then evidence Monitoring Data is accurate, and the computing formula of recovery of standard addition is：Recovery of standard addition=(C mixes
With concentration-C water sample concentration) * V volume of water sample/C standard specimen concentration * V standard specimen volume * 100%.
In order to be further ensured that the accuracy of Monitoring Data, data and recovery of standard addition data are verified come simultaneously by standard specimen
Evidence Monitoring Data validity, that is, transfer Monitoring Data corresponding monitoring time point before and after 24 hours standard specimen verify data and
Recovery of standard addition data, if standard specimen verifies the error rate of data all within 10%, and recovery of standard addition is all 80%～120%
Scope, then it is effective for being enough to prove Monitoring Data.
Output unit 30 is used for exporting Monitoring Data, and whether effectively the Monitoring Data of output carries attribute.
When it is effective for judging Monitoring Data, add mark to Monitoring Data, effectively belonged to showing that Monitoring Data has
Property.
According to the present embodiment, by receiving Monitoring Data and the Quality Control data of the detection of water quality monitoring device context, and according to
The accuracy to judge Monitoring Data for the evidence mode of Quality Control data, it is accurate to in-line analyzer Monitoring Data to be automatically obtained
The evidence of property, both avoided that laboratory manual analysis leads to is manually entered complex operation, the inefficiency that data is brought, and really
Protected the on-line checking of water sample, it is to avoid water sample sampled to the lab analysis pollution leading to or the problem being disturbed, and
Control process automated intelligent of the present invention, detection is timely, detection frequency is high, can conscientiously ensure the accuracy of Monitoring Data.
Fig. 2 is the structural representation of the control device for monitoring water quality on line data of second embodiment of the invention.Ginseng
According to Fig. 2, the control device of this monitoring water quality on line data includes：Receiving unit 10, Quality Control judging unit 20, output unit 30,
Resolution unit 40 and relational database loading unit 50.Wherein, receiving unit 10, Quality Control judging unit 20, output unit 30 with
Receiving unit 10 shown in Fig. 1, Quality Control judging unit 20, output unit 30 function phase with.
Resolution unit 40 is used for, when the Monitoring Data receiving and Quality Control data are data packet form, comprising prison to receive
Survey data and the packet of Quality Control data is parsed, to obtain Monitoring Data and Quality Control data.
In-line analyzer is uploaded in the form of packet by the specification that communications protocol interface presses communications protocol interface module
Monitoring Data and Quality Control data, communications protocol interface module is self-defining a set of network instruction interface, and an instruction represents
One class data, for example, CN=8051 represents Monitoring Data, and CN=3016 represents that standard specimen verifies data, and CN=3005 represents mark-on reclaims
Rate data, instruction is made up of predetermined format, carries out, to raw data packets, parsing of unpacking to facilitate.Monitoring Data intelligent appraisement system
Parsed after receiving raw data packets and the data in packet is categorizedly stored according to CN mark.
Relational database loading unit 50 is used for, after obtaining Monitoring Data and Quality Control data after parsing, obtaining after parsing
Monitoring Data and Quality Control data store to relational database according to after monitoring association in time.
After obtaining Monitoring Data and Quality Control data after parsing, according to CN mark, Monitoring Data and Quality Control data are carried out
Classification, for example, CN=8051 represents Monitoring Data, and CN=3016 represents that standard specimen verifies data, and CN=3005 represents recovery of standard addition number
According to, by Monitoring Data, standard specimen verifies data, recovery of standard addition data stored to relational database according to the monitoring time, for
Quality Control is passed judgment on unit 20 and is called, thus improving the efficiency to Monitoring Data availability deciding.
According to the present embodiment, by parsing to the raw data packets receiving, and the Monitoring Data that will obtain after parsing
And Quality Control data presses instruction and automatically classify, and stored to relational database according to the monitoring time, when having to Monitoring Data
When effect property judges, by transferring the Quality Control data in relational database, such as standard specimen verifies data and/or recovery of standard addition data,
To improve the efficiency to Monitoring Data Effective judgement, improve the detection frequency of Monitoring Data, meet Monitoring Data accuracy and sentence
Disconnected requirement.
Fig. 3 is the structural representation of the control device for monitoring water quality on line data of third embodiment of the invention.Ginseng
According to Fig. 3, the control device of this monitoring water quality on line data includes：Receiving unit 10, Quality Control judging unit 20, output unit 30,
Resolution unit 40, relational database loading unit 50 and display unit 60.Wherein, receiving unit 10, Quality Control judging unit 20, defeated
Go out unit 30, resolution unit 40, relational database loading unit 50 and the receiving unit 10 shown in Fig. 2, Quality Control judging unit 20,
Output unit 30, resolution unit 40, relational database loading unit 50 function phase with.Here, repeating no more.
Display unit 60 is used for whether effectively with the Monitoring Data of attribute carries out form by form by output
Display.
By carrying out after availability deciding according to Quality Control data to Monitoring Data, Quality Control report generation module is called
The Monitoring Data of effect property mark, effective Monitoring Data is showed user with the formal intuition of Quality Control tables of data, to facilitate use
Family carries out the early warning analysis of water quality monitoring, prevents the accident of water pollution in time.
According to a further aspect in the invention, embodiments provide a kind of controlling party of monitoring water quality on line data
Method.The method is run on a computing device.It should be noted that the control of the monitoring water quality on line data of the embodiment of the present invention
The control device of the monitoring water quality on line data that method can be provided by the embodiment of the present invention executing, the embodiment of the present invention
The control device of monitoring water quality on line data can be used for executing the monitoring water quality on line number that provided of the embodiment of the present invention
According to control method.
Fig. 4 is the steps flow chart schematic diagram of the control method of monitoring water quality on line data of the embodiment of the present invention one.Reference
Fig. 4, the control method that this is used for monitoring water quality on line data includes：
Step S101, receives Monitoring Data and the Quality Control data of the detection of water quality monitoring device context, and Monitoring Data has prison
Survey the factor, monitoring time, the attribute of monitor value, Quality Control data includes standard specimen and verifies data and/or recovery of standard addition data.
Water quality monitoring equipment is the on-line data acquisition instrument with data acquisition function, such as in-line analyzer, positioned at monitoring
The in-line analyzer at end can carry out parameter monitoring to water sample to be measured, is such as included：Permanganate index, Cr VI, fluorination
The monitoring of the conventional parameters such as thing, sulfide, the Monitoring Data that its on-line checking obtains has Monitoring factors, monitoring time, monitoring
The attribute of value；It is also equipped with the function of automatic data collection Quality Control data.Quality Control data in the present embodiment includes：Standard specimen verifies data
And/or recovery of standard addition data.Wherein, standard specimen is verified data and is joined for the standard sample of concentration known for in-line analyzer
Number test verifies data to obtain standard specimen；Recovery of standard addition data for in-line analyzer add in water sample to be measured a certain amount of
Know the data that the standard sample laggard line parameter test of concentration obtains, the computing formula of recovery of standard addition is：Recovery of standard addition=
(mark-on Specimen Determination value-Specimen Determination value)/mark-on amount × 100%, by judging whether recovery of standard addition meets setting range
To detect the interference free performance of online water analysis instrument.After in-line analyzer Site Detection obtains Monitoring Data and Quality Control data,
Monitoring Data and Quality Control data are uploaded by the specification that communications protocol interface presses communications protocol interface module, communications protocol interface is advised
Fixed every class data is identified by command code CN, and for example, CN=8051 represents Monitoring Data, and CN=3016 represents that standard specimen verifies data,
CN=3005 represents recovery of standard addition data.In-line analyzer passes through communications protocol interface and automatically uploads Monitoring Data and matter in real time
Control data is to Monitoring Data intelligent appraisement system.
According to Quality Control data, step S102, judges that whether effectively Monitoring Data, specifically includes：
Verify whether data exceeds predictive error according to Monitoring Data corresponding monitoring time point standard specimen in Preset Time
Rate, if without departing from predictive error rate, Monitoring Data is effective；Or
According to Monitoring Data corresponding monitoring time point, in Preset Time, whether recovery of standard addition data is missed beyond predetermined
Difference scope, if without departing from predictive error scope, Monitoring Data is effective；Or
According to Monitoring Data corresponding monitoring time point in Preset Time, standard specimen verifies whether data exceeds predictive error
Whether rate and recovery of standard addition data exceed predictive error scope, and when standard specimen verifies data, without departing from predictive error rate and mark-on returns
, without departing from predictive error scope, Monitoring Data is effective for yield data.
When the validity that data to judge Monitoring Data being verified using standard specimen in the present embodiment, corresponded to according to this Monitoring Data
Monitoring time point, the standard specimen transferring 24 hours before and after this monitoring time point verifies data, if standard specimen verifies the error rate of data
All within 10%, then the value that can prove this Monitoring Data is accurate, and it is that in-line analyzer is tested that standard specimen verifies data
Know the value of concentration samples, the computing formula of error rate is：Error rate=(| (value-concentration known value of test concentration known sample)
|/concentration known value) * 100%.
To be judged using recovery of standard addition data in the present embodiment Monitoring Data validity when, according to this Monitoring Data pair
The monitoring time point answered, transfers the recovery of standard addition data of 24 hours before and after this monitoring time point, if recovery of standard addition all exists
80%～120% scope, then evidence Monitoring Data is accurate, and the computing formula of recovery of standard addition is：Recovery of standard addition=(C mixes
With concentration-C water sample concentration) * V volume of water sample/C standard specimen concentration * V standard specimen volume * 100%.
In order to be further ensured that the accuracy of Monitoring Data, data and recovery of standard addition data are verified come simultaneously by standard specimen
Evidence Monitoring Data validity, that is, transfer Monitoring Data corresponding monitoring time point before and after 24 hours standard specimen verify data and
Recovery of standard addition data, if standard specimen verifies the error rate of data all within 10%, and recovery of standard addition is all 80%～120%
Scope, then it is effective for being enough to prove Monitoring Data.
Step S103, exports Monitoring Data, and whether effectively the Monitoring Data of output carries attribute.
When it is effective for judging Monitoring Data, add mark to Monitoring Data, effectively belonged to showing that Monitoring Data has
Property.
According to the present embodiment, by receiving Monitoring Data and the Quality Control data of the detection of water quality monitoring device context, and according to
The accuracy to judge Monitoring Data for the evidence mode of Quality Control data, it is accurate to in-line analyzer Monitoring Data to be automatically obtained
The evidence of property, both avoided that laboratory manual analysis leads to is manually entered complex operation, the inefficiency that data is brought, and really
Protected the on-line checking of water sample, it is to avoid water sample sampled to the lab analysis pollution leading to or the problem being disturbed, and
Control process automated intelligent of the present invention, detection is timely, detection frequency is high, can conscientiously ensure the accuracy of Monitoring Data.
Fig. 5 is the steps flow chart schematic diagram of the control method of monitoring water quality on line data of the embodiment of the present invention two.Reference
Fig. 5, the control method that this is used for monitoring water quality on line data includes：
Step S201, receives the packet of the Monitoring Data including the detection of water quality monitoring device context and Quality Control data, prison
Survey data and there is Monitoring factors, monitoring time, the attribute of monitor value, Quality Control data includes standard specimen verification data and/or mark-on returns
Yield data.
In the present embodiment, in-line analyzer presses the specification of communications protocol interface module with packet by communications protocol interface
Form upload Monitoring Data and Quality Control data, communications protocol interface module is self-defining a set of network instruction interface, one
Instruction represents a class data, and for example, CN=8051 represents Monitoring Data, and CN=3016 represents that standard specimen verifies data, CN=3005 table
Show recovery of standard addition data, instruction is made up of predetermined format, carries out, to raw data packets, parsing of unpacking to facilitate.
Step S202, to receive comprise Monitoring Data and the packet of Quality Control data parses, with obtain monitor number
According to and Quality Control data.
Monitoring Data intelligent appraisement system parsed after receiving raw data packets and by the data in packet by
Categorizedly stored according to CN mark.
Step S203, will parsing after obtain Monitoring Data and Quality Control data according to monitoring association in time after store to close coefficient
According to storehouse.
After obtaining Monitoring Data and Quality Control data after parsing, according to CN mark, Monitoring Data and Quality Control data are carried out
Classification, for example, CN=8051 represents Monitoring Data, and CN=3016 represents that standard specimen verifies data, and CN=3005 represents recovery of standard addition number
According to, by Monitoring Data, standard specimen verifies data, recovery of standard addition data stored to relational database according to the monitoring time, for
Call during Monitoring Data availability deciding, thus improving the efficiency to Monitoring Data availability deciding.
According to Quality Control data, step S204, judges that whether effectively Monitoring Data, specifically includes：
Verify whether data exceeds predictive error according to Monitoring Data corresponding monitoring time point standard specimen in Preset Time
Rate, if without departing from predictive error rate, Monitoring Data is effective；Or
According to Monitoring Data corresponding monitoring time point, in Preset Time, whether recovery of standard addition data is missed beyond predetermined
Difference scope, if without departing from predictive error scope, Monitoring Data is effective；Or
According to Monitoring Data corresponding monitoring time point in Preset Time, standard specimen verifies whether data exceeds predictive error
Whether rate and recovery of standard addition data exceed predictive error scope, and when standard specimen verifies data, without departing from predictive error rate and mark-on returns
, without departing from predictive error scope, Monitoring Data is effective for yield data.
When the validity that data to judge Monitoring Data being verified using standard specimen in the present embodiment, corresponded to according to this Monitoring Data
Monitoring time point, the standard specimen transferring 24 hours before and after this monitoring time point verifies data, if standard specimen verifies the error rate of data
All within 10%, then the value that can prove this Monitoring Data is accurate, and it is that in-line analyzer is tested that standard specimen verifies data
Know the value of concentration samples, the computing formula of error rate is：Error rate=(| (value-concentration known value of test concentration known sample)
|/concentration known value) * 100%.
To be judged using recovery of standard addition data in the present embodiment Monitoring Data validity when, according to this Monitoring Data pair
The monitoring time point answered, transfers the recovery of standard addition data of 24 hours before and after this monitoring time point, if recovery of standard addition all exists
80%～120% scope, then evidence Monitoring Data is accurate, and the computing formula of recovery of standard addition is：Recovery of standard addition=(C mixes
With concentration-C water sample concentration) * V volume of water sample/C standard specimen concentration * V standard specimen volume * 100%.
In order to be further ensured that the accuracy of Monitoring Data, data and recovery of standard addition data are verified come simultaneously by standard specimen
Evidence Monitoring Data validity, that is, transfer Monitoring Data corresponding monitoring time point before and after 24 hours standard specimen verify data and
Recovery of standard addition data, if standard specimen verifies the error rate of data all within 10%, and recovery of standard addition is all 80%～120%
Scope, then it is effective for being enough to prove Monitoring Data.
Step S205, exports Monitoring Data, and whether effectively the Monitoring Data of output carries attribute.
When it is effective for judging Monitoring Data, add mark to Monitoring Data, effectively belonged to showing that Monitoring Data has
Property.
According to the present embodiment, by parsing to the raw data packets receiving, and the Monitoring Data that will obtain after parsing
And Quality Control data presses instruction and automatically classify, and stored to relational database according to the monitoring time, when having to Monitoring Data
When effect property judges, by transferring the Quality Control data in relational database, such as standard specimen verifies data and/or recovery of standard addition data,
To improve the efficiency to Monitoring Data Effective judgement, improve the detection frequency of Monitoring Data, meet Monitoring Data accuracy and sentence
Disconnected requirement.
Fig. 6 is the steps flow chart schematic diagram of the control method of monitoring water quality on line data of the embodiment of the present invention three.Reference
Fig. 6, the control method that this is used for monitoring water quality on line data includes：
Step S301, receives the packet of the Monitoring Data including the detection of water quality monitoring device context and Quality Control data, prison
Survey data and there is Monitoring factors, monitoring time, the attribute of monitor value, Quality Control data includes standard specimen verification data and/or mark-on returns
Yield data.
In the present embodiment, in-line analyzer presses the specification of communications protocol interface module with packet by communications protocol interface
Form upload Monitoring Data and Quality Control data, communications protocol interface module is self-defining a set of network instruction interface, one
Instruction represents a class data, and for example, CN=8051 represents Monitoring Data, and CN=3016 represents that standard specimen verifies data, CN=3005 table
Show recovery of standard addition data, instruction is made up of predetermined format, carries out, to raw data packets, parsing of unpacking to facilitate.
Step S302, to receive comprise Monitoring Data and the packet of Quality Control data parses, with obtain monitor number
According to and Quality Control data.
Monitoring Data intelligent appraisement system parsed after receiving raw data packets and by the data in packet by
Categorizedly stored according to CN mark.
Step S303, will parsing after obtain Monitoring Data and Quality Control data according to monitoring association in time after store to close coefficient
According to storehouse.
After obtaining Monitoring Data and Quality Control data after parsing, according to CN mark, Monitoring Data and Quality Control data are carried out
Classification, for example, CN=8051 represents Monitoring Data, and CN=3016 represents that standard specimen verifies data, and CN=3005 represents recovery of standard addition number
According to, by Monitoring Data, standard specimen verifies data, recovery of standard addition data stored to relational database according to the monitoring time, for
Call during Monitoring Data availability deciding, thus improving the efficiency to Monitoring Data availability deciding.
According to Quality Control data, step S304, judges that whether effectively Monitoring Data, specifically includes：
Verify whether data exceeds predictive error according to Monitoring Data corresponding monitoring time point standard specimen in Preset Time
Rate, if without departing from predictive error rate, Monitoring Data is effective；Or
According to Monitoring Data corresponding monitoring time point, in Preset Time, whether recovery of standard addition data is missed beyond predetermined
Difference scope, if without departing from predictive error scope, Monitoring Data is effective；Or
According to Monitoring Data corresponding monitoring time point in Preset Time, standard specimen verifies whether data exceeds predictive error
Whether rate and recovery of standard addition data exceed predictive error scope, and when standard specimen verifies data, without departing from predictive error rate and mark-on returns
, without departing from predictive error scope, Monitoring Data is effective for yield data.
When the validity that data to judge Monitoring Data being verified using standard specimen in the present embodiment, corresponded to according to this Monitoring Data
Monitoring time point, the standard specimen transferring 24 hours before and after this monitoring time point verifies data, if standard specimen verifies the error rate of data
All within 10%, then the value that can prove this Monitoring Data is accurate, and it is that in-line analyzer is tested that standard specimen verifies data
Know the value of concentration samples, the computing formula of error rate is：Error rate=(| (value-concentration known value of test concentration known sample)
|/concentration known value) * 100%.
To be judged using recovery of standard addition data in the present embodiment Monitoring Data validity when, according to this Monitoring Data pair
The monitoring time point answered, transfers the recovery of standard addition data of 24 hours before and after this monitoring time point, if recovery of standard addition all exists
80%～120% scope, then evidence Monitoring Data is accurate, and the computing formula of recovery of standard addition is：Recovery of standard addition=(C mixes
With concentration-C water sample concentration) * V volume of water sample/C standard specimen concentration * V standard specimen volume * 100%.
In order to be further ensured that the accuracy of Monitoring Data, data and recovery of standard addition data are verified come simultaneously by standard specimen
Evidence Monitoring Data validity, that is, transfer Monitoring Data corresponding monitoring time point before and after 24 hours standard specimen verify data and
Recovery of standard addition data, if standard specimen verifies the error rate of data all within 10%, and recovery of standard addition is all 80%～120%
Scope, then it is effective for being enough to prove Monitoring Data.
Step S305, exports Monitoring Data, and whether effectively the Monitoring Data of output carries attribute.
When it is effective for judging Monitoring Data, add mark to Monitoring Data, effectively belonged to showing that Monitoring Data has
Property.
Step S306, by output, effectively whether with, the Monitoring Data of attribute carries out report display by form.
By carrying out after availability deciding according to Quality Control data to Monitoring Data, Quality Control report generation module is called
The Monitoring Data of effect property mark, effective Monitoring Data is showed user with the formal intuition of Quality Control tables of data, to facilitate use
Family carries out the early warning analysis of water quality monitoring, prevents the accident of water pollution in time.
It should be noted that the step that illustrates of flow process in accompanying drawing can be in such as one group of computer executable instructions
Execute in computer system, and although showing logical order in flow charts, but in some cases, can be with not
It is same as the step shown or described by order execution herein.
Obviously, those skilled in the art should be understood that each module of the above-mentioned present invention or each step can be with general
Computing device realizing, they can concentrate on single computing device, or be distributed in multiple computing devices and formed
Network on, alternatively, they can be realized with the executable program code of computing device, it is thus possible to they are stored
To be executed by computing device in the storage device, or they be fabricated to each integrated circuit modules respectively, or by they
In multiple modules or step be fabricated to single integrated circuit module to realize.So, the present invention be not restricted to any specific
Hardware and software combines.
The foregoing is only the preferred embodiments of the present invention, be not limited to the present invention, for the skill of this area
For art personnel, the present invention can have various modifications and variations.All within the spirit and principles in the present invention, made any repair
Change, equivalent, improvement etc., should be included within the scope of the present invention.
Claims (8)
1. a kind of control method of monitoring water quality on line data is it is characterised in that include：
Receive water quality monitoring device context detection Monitoring Data and Quality Control data, wherein, described Monitoring Data include monitor because
Son, monitoring time, the attribute of monitor value, described Quality Control data includes standard specimen and verifies data and/or recovery of standard addition data；Described
Water quality monitoring equipment is the on-line data acquisition instrument with data acquisition function, and it is also equipped with the work(of automatic data collection Quality Control data
Can, described water quality monitoring equipment uploads what Site Detection obtained by the specification that communications protocol interface presses communications protocol interface module
Described Monitoring Data and described Quality Control data；
Judge whether described Monitoring Data is effective according to described Quality Control data；
Export described Monitoring Data, whether effectively the described Monitoring Data of output carries attribute；
Described whether effectively described Monitoring Data is judged according to described Quality Control data, including at least one of：
Whether data is verified beyond predetermined according to described Monitoring Data corresponding monitoring time point described standard specimen in Preset Time
Error rate, if without departing from predictive error rate, described Monitoring Data is effective；
According to described Monitoring Data corresponding monitoring time point, in Preset Time, whether described recovery of standard addition data exceeds in advance
Determine error range, if without departing from predictive error scope, described Monitoring Data is effective；
Whether data is verified beyond predetermined according to described Monitoring Data corresponding monitoring time point described standard specimen in Preset Time
Whether error rate and described recovery of standard addition data exceed predictive error scope, when described standard specimen verifies data without departing from predetermined mistake
Rate and described recovery of standard addition data is without departing from predictive error scope, described Monitoring Data is effective.
2. monitoring water quality on line data according to claim 1 control method it is characterised in that
When the described Monitoring Data receiving and Quality Control data are data packet form, also include：Comprise described monitoring to receive
The packet of data and Quality Control data is parsed, to obtain described Monitoring Data and Quality Control data.
3. the control method of monitoring water quality on line data according to claim 2 is it is characterised in that obtain institute after parsing
After stating Monitoring Data and Quality Control data, also include：
Store obtaining described Monitoring Data and Quality Control data after parsing to relational database according to after monitoring association in time.
4. the control method of the monitoring water quality on line data according to any one of claims 1 to 3 is it is characterised in that export
After described Monitoring Data, also include：
By output, effectively whether with, the described Monitoring Data of attribute carries out report display by form.
5. a kind of control device of monitoring water quality on line data is it is characterised in that include：
Receiving unit, for receiving Monitoring Data and the Quality Control data of the detection of water quality monitoring device context, described Monitoring Data tool
There are Monitoring factors, monitoring time, the attribute of monitor value, described Quality Control data includes standard specimen and verifies data and/or recovery of standard addition
Data；Described water quality monitoring equipment is the on-line data acquisition instrument with data acquisition function, and it is also equipped with automatic data collection Quality Control
The function of data, described water quality monitoring equipment uploads scene inspection by the specification that communications protocol interface presses communications protocol interface module
Survey the described Monitoring Data obtaining and described Quality Control data；
According to described Quality Control data, Quality Control judging unit, for judging whether described Monitoring Data is effective；
Output unit, for exporting described Monitoring Data, whether effectively the described Monitoring Data of output carries attribute；
Described Quality Control judging unit includes at least one of：
First Quality Control judge module, for according to described Monitoring Data corresponding monitoring time point described standard specimen in Preset Time
Verify whether data exceeds predictive error rate, if without departing from predictive error rate, described Monitoring Data is effective；
Second Quality Control judge module, for according to described Monitoring Data corresponding monitoring time point described mark-on in Preset Time
Whether rate of recovery data exceeds predictive error scope, if without departing from predictive error scope, described Monitoring Data is effective；
3rd Quality Control judge module, for according to described Monitoring Data corresponding monitoring time point described standard specimen in Preset Time
Verify whether whether data exceed predictive error scope beyond predictive error rate and described recovery of standard addition data, when described standard specimen
Without departing from predictive error rate and described recovery of standard addition data is without departing from predictive error scope to verify data, and described Monitoring Data has
Effect.
6. the control device of monitoring water quality on line data according to claim 5 is it is characterised in that also include：
Resolution unit, for when the described Monitoring Data receiving and Quality Control data are data packet form, comprising institute to receive
State Monitoring Data and the packet of Quality Control data is parsed, to obtain described Monitoring Data and Quality Control data.
7. the control device of monitoring water quality on line data according to claim 6 is it is characterised in that also include：
Relational database loading unit, for when obtaining after described Monitoring Data and Quality Control data after parsing, obtaining after parsing
Described Monitoring Data and Quality Control data store to relational database according to after monitoring association in time.
8. the control device of the monitoring water quality on line data according to any one of claim 5 to 7 is it is characterised in that also wrap
Include：
Display unit, for by output, whether with effectively, the described Monitoring Data of attribute carries out form by form and shows
Show.
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| CN105403681A (en) * | 2015-12-16 | 2016-03-16 | 成都峰占科技有限公司 | Water quality on-line monitoring instrument remote monitoring and control device and water quality on-line monitoring system |
| CN105549563B (en) * | 2015-12-31 | 2018-05-08 | 聚光科技(杭州)股份有限公司 | The long-range quality control method and device of water quality monitoring system |
| CN105510538A (en) * | 2015-12-31 | 2016-04-20 | 聚光科技(杭州)股份有限公司 | Remote quality control device and method of gas monitoring system |
| CN105675834B (en) * | 2015-12-31 | 2018-07-13 | 聚光科技(杭州)股份有限公司 | The quality control method and device of water quality monitoring system |
| CN105911240A (en) * | 2016-04-24 | 2016-08-31 | 武克易 | Method for monitoring pH value of water |
| CN105954479A (en) * | 2016-04-24 | 2016-09-21 | 武克易 | Monitoring method of water quality COD value |
| CN105954481A (en) * | 2016-04-24 | 2016-09-21 | 武克易 | Monitoring method of water quality |
| CN105954480A (en) * | 2016-04-24 | 2016-09-21 | 武克易 | Monitoring method of water quality turbidity |
| CN106770934A (en) * | 2016-11-30 | 2017-05-31 | 河北白晶环境科技有限公司 | Online monitoring of pollution sources apparatus management/control apparatus and system |
| CN109062110A (en) * | 2018-08-29 | 2018-12-21 | 中兴仪器（深圳）有限公司 | A kind of Multifunctional water Online QC system |
| CN109325556A (en) * | 2018-09-06 | 2019-02-12 | 北京华城建设监理有限责任公司 | A kind of construction information management method based on planar bar code technology |
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