CN103728891A - 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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- CN103728891A CN103728891A CN201310727572.5A CN201310727572A CN103728891A CN 103728891 A CN103728891 A CN 103728891A CN 201310727572 A CN201310727572 A CN 201310727572A CN 103728891 A CN103728891 A CN 103728891A
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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, relate to a kind of control method and device of monitoring water quality on line data.
Background technology
, there is the automatic monitoring of in-line analyzer to water quality in existing water quality monitoring field, but the data accuracy of in-line analyzer monitoring need further checking.The general manpower comparing that adopts is proved the mode of monitoring, artificial to collection in worksite water sample, take laboratory and do Manual analysis, the manual input system of result that analysis is obtained, whether accurate with the Data Comparison of Water Test Kits on-line monitoring if proving the data of in-line analyzer monitoring again, but existing evidence mode exists following defect:
1, the manual evidence mode of lab analysis need to consume a large amount of manpower and materials, and inefficiency cannot accomplish that timely, high-frequency detects;
2, the result of manual test needs manual entry system, easily occurs erroneous input causing data deviation;
3, from extracting water sample to laboratory chemical analysis certain time interval, water sample is easily interfered or is rotten;
4, artificial chemistry analysis in laboratory causes certain harm to operating personnel's health.
Summary of the invention
The object of the invention is to provide a kind of control method and device of monitoring water quality on line data, to solve that the detection efficiency that the data of existing in-line analyzer monitoring need laboratory evidence to cause is low, water sample is easily interfered or rotten and testing process easily causes the technical matters 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, should comprise for the control method of monitoring water quality on line data:
Receive Monitoring Data and Quality Control data that water quality monitoring device context detects, wherein, Monitoring Data comprises the attribute of the monitoring factor, monitoring time, monitor value, and Quality Control data comprise standard specimen verification data and/or recovery of standard addition data;
According to Quality Control data, judge that whether Monitoring Data is effective;
Output Monitoring Data, effectively whether the Monitoring Data of output with attribute.
Further, according to Quality Control data, judge that whether Monitoring Data effective, comprise following one of at least:
According to monitoring time point standard specimen in Preset Time corresponding to Monitoring Data, verify data and whether exceed predictive error rate, if do not exceed predictive error rate, Monitoring Data is effective;
Whether monitoring time point Preset Time in the recovery of standard addition data corresponding according to Monitoring Data exceed predictive error scope, if do not exceed predictive error scope, Monitoring Data is effective;
According to monitoring time point standard specimen in Preset Time that Monitoring Data is corresponding, verify whether data exceed predictive error rate and whether recovery of standard addition data exceed predictive error scope, when standard specimen is verified, data do not exceed predictive error rate and recovery of standard addition data do not exceed predictive error scope, and Monitoring Data is effective.
Further, when the Monitoring Data receiving and Quality Control data are data packet form, also comprise: the packet that comprises Monitoring Data and Quality Control data receiving is resolved, to obtain Monitoring Data and Quality Control data.
Further, after resolving, obtain, after Monitoring Data and Quality Control data, also comprising:
By obtaining after parsing, after the data based monitoring time association of Monitoring Data and Quality Control, be stored to relational database.
Further, after output Monitoring Data, also comprise:
Whether effectively the Monitoring Data of attribute with of output is carried out to report display by form.
A kind of control device of monitoring water quality on line data is also provided according to a further aspect in the invention.The control device of these monitoring water quality on line data comprises:
Receiving element, the Monitoring Data and the Quality Control data that for receiving water quality monitoring device context, detect, Monitoring Data has the attribute of the monitoring factor, monitoring time, monitor value, and Quality Control data comprise standard specimen verification data and/or recovery of standard addition data;
Quality Control judging unit, for judging that according to Quality Control data whether Monitoring Data is effective;
Output unit, for exporting Monitoring Data, effectively whether the Monitoring Data of output with attribute.
Further, Quality Control judging unit comprise following one of at least:
Whether the first Quality Control judge module, exceed predictive error rate for verifying data according to monitoring time point standard specimen in Preset Time corresponding to Monitoring Data, if do not exceed predictive error rate, Monitoring Data is effective;
The second Quality Control judge module, for whether exceeding predictive error scope according to monitoring time point recovery of standard addition data in Preset Time corresponding to Monitoring Data, if do not exceed predictive error scope, Monitoring Data is effective;
The 3rd Quality Control judge module, for verifying according to monitoring time point standard specimen in Preset Time corresponding to Monitoring Data whether data exceed predictive error rate and whether recovery of standard addition data exceed predictive error scope, when standard specimen is verified, data do not exceed predictive error rate and recovery of standard addition data do not exceed predictive error scope, and Monitoring Data is effective.
Further, the control device of these monitoring water quality on line data also comprises:
Resolution unit, while being data packet form for the Monitoring Data when receiving and Quality Control data, resolves the packet that comprises Monitoring Data and Quality Control data receiving, to obtain Monitoring Data and Quality Control data.
Further, the control device of these monitoring water quality on line data also comprises:
Relational database loading unit, for obtaining after Monitoring Data and Quality Control data after resolving, is stored to relational database by obtaining after parsing after the data based monitoring time association of Monitoring Data and Quality Control.
Further, the control device of these monitoring water quality on line data also comprises:
Whether effectively display unit, for carrying out report display by the Monitoring Data of attribute with of output by form.
The present invention has following beneficial effect:
The control method of monitoring water quality on line data of the present invention and device, the Monitoring Data and the Quality Control data that by receiving water quality monitoring device context, detect, and according to the evidence mode of Quality Control data, judge the accuracy of Monitoring Data, automatically realized the evidence to the accuracy of in-line analyzer Monitoring Data, both the complex operation that the manual logging data of having avoided laboratory manual analysis to cause brings, inefficiency, guaranteed again the online detection of water sample, avoided water sample through the be sampled to lab analysis pollution causing or the problem being disturbed, and control procedure automated intelligent of the present invention, detect in time, detection frequency is high, can conscientiously ensure the accuracy of Monitoring Data.
Except object described above, feature and advantage, the present invention also has other object, feature and advantage.Below with reference to figure, the present invention is further detailed explanation.
Accompanying drawing explanation
The accompanying drawing that forms the application's a part is used to provide a further understanding of the present invention, and schematic description and description of the present invention is used for explaining the present invention, does not form inappropriate limitation of the present invention.In the accompanying drawings:
Fig. 1 is the structural representation of control device of the monitoring water quality on line data of first embodiment of the invention;
Fig. 2 is the structural representation of control device of the monitoring water quality on line data of second embodiment of the invention;
Fig. 3 is the structural representation of control device of the monitoring water quality on line data of third embodiment of the invention;
Fig. 4 is the steps flow chart schematic diagram of control method of the monitoring water quality on line data of first embodiment of the invention;
Fig. 5 is the steps flow chart schematic diagram of control method of the monitoring water quality on line data of second embodiment of the invention; And
Fig. 6 is the steps flow chart schematic diagram of control method of the monitoring water quality on line data of third embodiment of the invention.
Embodiment
Below in conjunction with accompanying drawing, embodiments of the invention are elaborated, but the multitude of different ways that the present invention can be defined by the claims and cover is implemented.
In order to make those skilled in the art person understand better the present invention program, below in conjunction with the accompanying drawing in the embodiment of the present invention, technical scheme in the embodiment of the present invention is clearly and completely described, obviously, described embodiment is only the embodiment of a part of the present invention, rather than whole embodiment.Embodiment based in the present invention, those of ordinary skills, not making the every other embodiment obtaining under creative work prerequisite, should belong to the scope of protection of the invention.
It should be noted that, term in instructions of the present invention and claims " comprises " and " having " and their any distortion, intention is to cover not exclusive comprising, for example, those steps or unit that the process that has comprised series of steps or unit, method, system, product or equipment are not necessarily limited to clearly list, but can comprise clearly do not list or for these processes, method, product or equipment intrinsic other step 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 can be realized its function 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.With reference to Fig. 1, the control device of these monitoring water quality on line data comprises: receiving element 10, Quality Control judging unit 20 and output unit 30.Wherein:
Monitoring Data and Quality Control data that receiving element 10 detects for receiving water quality monitoring device context, Monitoring Data has the attribute of the monitoring factor, monitoring time, monitor value, and Quality Control data comprise standard specimen verification data and/or recovery of standard addition data.
Water quality monitoring equipment is the on-line data acquisition instrument with data acquisition function, as in-line analyzer, the in-line analyzer that is positioned at monitoring side can carry out parameter monitoring to water sample to be measured, as comprise: the monitoring of the conventional parameters such as permanganate index, sexavalent chrome, fluoride, sulfide, its online Monitoring Data obtaining that detects has the attribute of monitoring the factor, monitoring time, monitor value; The function that also possesses automatic collection Quality Control data.Quality Control data in the present embodiment comprise: standard specimen is verified data and/or recovery of standard addition data.Wherein, to verify data be in-line analyzer to standard specimen for the standard model of concentration known, carries out parameter testing and verify data to obtain standard specimen; Recovery of standard addition data are the data that in-line analyzer adds the laggard line parameter test of standard model of a certain amount of concentration known to obtain in water sample to be measured, the computing formula of recovery of standard addition is: recovery of standard addition=(mark-on Specimen Determination value-Specimen Determination value)/add scalar * 100%, by judging whether recovery of standard addition meets setting range to detect the interference free performance of online water analysis instrument.In-line analyzer Site Detection obtains after Monitoring Data and Quality Control data, by communications protocol interface, by the standard of communications protocol interface module, upload Monitoring Data and Quality Control data, communications protocol interface stipulates that every class data are identified by command code CN, for example, CN=8051 represents Monitoring Data, CN=3016 represents standard specimen verification data, and CN=3005 represents recovery of standard addition data.In-line analyzer is uploaded Monitoring Data and Quality Control data to Monitoring Data intelligent appraisement system automatically in real time by communications protocol interface.
Quality Control judging unit 20 is for judging that according to Quality Control data whether Monitoring Data is effective, specifically comprises:
According to monitoring time point standard specimen in Preset Time corresponding to Monitoring Data, verify data and whether exceed predictive error rate, if do not exceed predictive error rate, Monitoring Data is effective; Or
Whether monitoring time point Preset Time in the recovery of standard addition data corresponding according to Monitoring Data exceed predictive error scope, if do not exceed predictive error scope, Monitoring Data is effective; Or
According to monitoring time point corresponding to Monitoring Data in Preset Time, standard specimen verifies whether data exceed predictive error rate and whether recovery of standard addition data exceed predictive error scope, when standard specimen is verified, data do not exceed predictive error rate and recovery of standard addition data do not exceed predictive error scope, and Monitoring Data is effective.
While adopting standard specimen verification data to judge the validity of Monitoring Data in the present embodiment, the monitoring time point corresponding according to this Monitoring Data, transfer this standard specimen of 24 hours in monitoring time point front and back and verify data, if standard specimen is verified the error rate of data all in 10%, the value that can prove this Monitoring Data is accurately, standard specimen is verified the value that data are in-line analyzer test concentration known samples, and the computing formula of error rate is: error rate=(| (value-concentration known value of test concentration known sample) |/concentration known value) * 100%.
While adopting recovery of standard addition data to judge the validity of Monitoring Data in the present embodiment, the monitoring time point corresponding according to this Monitoring Data, transfer this monitoring time point front and back recovery of standard addition data of 24 hours, if recovery of standard addition is all in 80%～120% scope, proving Monitoring Data is accurately, and the computing formula of recovery of standard addition is: recovery of standard addition=(C mixes concentration-C water sample concentration) * V volume of water sample/C standard specimen concentration * V standard specimen volume * 100%.
In order further to guarantee the accuracy of Monitoring Data, by standard specimen, verify the validity that data and recovery of standard addition data are proved Monitoring Data simultaneously, transfer the monitoring time point front and back standard specimen of 24 hours corresponding to Monitoring Data and verify data and recovery of standard addition data, if standard specimen is verified the error rate of data all in 10%, and recovery of standard addition is all in 80%～120% scope, and it is effective being enough to prove Monitoring Data.
Output unit 30 is for exporting Monitoring Data, and effectively whether the Monitoring Data of output with attribute.
When judging that Monitoring Data is effective, to Monitoring Data, add mark, to show that Monitoring Data has effective attribute.
According to the present embodiment, the Monitoring Data and the Quality Control data that by receiving water quality monitoring device context, detect, and according to the evidence mode of Quality Control data, judge the accuracy of Monitoring Data, automatically realized the evidence to the accuracy of in-line analyzer Monitoring Data, both the complex operation that the manual logging data of having avoided laboratory manual analysis to cause brings, inefficiency, guaranteed again the online detection of water sample, avoided water sample through the be sampled to lab analysis pollution causing or the problem being disturbed, and control procedure automated intelligent of the present invention, detect in time, 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.With reference to Fig. 2, the control device of these monitoring water quality on line data comprises: receiving element 10, Quality Control judging unit 20, output unit 30, resolution unit 40 and relational database loading unit 50.Wherein, receiving element 10, Quality Control judging unit 20, output unit 30 are identical with the function of the receiving element 10 shown in Fig. 1, Quality Control judging unit 20, output unit 30.
When resolution unit 40 is data packet form for the Monitoring Data when receiving and Quality Control data, the packet that comprises Monitoring Data and Quality Control data receiving is resolved, to obtain Monitoring Data and Quality Control data.
In-line analyzer is uploaded Monitoring Data and Quality Control data by the standard of communications protocol interface module with the form of packet by communications protocol interface, communications protocol interface module is self-defining a set of network instruction interface, article one, instruction represents class data, for example, CN=8051 represents Monitoring Data, and CN=3016 represents standard specimen verification data, and CN=3005 represents recovery of standard addition data, instruction is comprised of predetermined format, to facilitate the raw data packets parsing of unpacking.Monitoring Data intelligent appraisement system is resolved and the data in packet is stored categorizedly according to CN sign after receiving raw data packets.
Relational database loading unit 50, for obtaining after Monitoring Data and Quality Control data after resolving, is stored to relational database by obtaining after parsing after the data based monitoring time association of Monitoring Data and Quality Control.
After resolving, obtaining after Monitoring Data and Quality Control data, according to CN sign, Monitoring Data and Quality Control data are classified, for example, CN=8051 represents Monitoring Data, CN=3016 represents standard specimen verification data, and CN=3005 represents recovery of standard addition data, and Monitoring Data, standard specimen verification data, the data based monitoring time of recovery of standard addition are stored in relational database, for Quality Control, pass judgment on unit 20 and call, thereby improve the efficiency to Monitoring Data availability deciding.
According to the present embodiment, by the raw data packets receiving is resolved, and by the Monitoring Data obtaining after resolving and Quality Control data by instruction automatic classification, and be stored in relational database according to monitoring time, when Monitoring Data being carried out to validity judgement, by transferring the Quality Control data in relational database, as standard specimen is verified data and/or recovery of standard addition data, to improve the efficiency to the judgement of Monitoring Data validity, improve the detection frequency of Monitoring Data, meet the requirement of Monitoring Data accuracy judgement.
Fig. 3 is the structural representation of the control device for monitoring water quality on line data of third embodiment of the invention.With reference to Fig. 3, the control device of these monitoring water quality on line data comprises: receiving element 10, Quality Control judging unit 20, output unit 30, resolution unit 40, relational database loading unit 50 and display unit 60.Wherein, receiving element 10, Quality Control judging unit 20, output unit 30, resolution unit 40, relational database loading unit 50 are identical with the function of the receiving element 10 shown in Fig. 2, Quality Control judging unit 20, output unit 30, resolution unit 40, relational database loading unit 50.At this, repeat no more.
Whether effectively display unit 60 for carrying out report display by the Monitoring Data of attribute with of output by form.
By Monitoring Data being carried out after availability deciding according to Quality Control data, Quality Control report generation module is called the Monitoring Data with validity mark, effective Monitoring Data is showed to user with the formal intuition of Quality Control tables of data, with the early warning analysis that facilitates user to carry out water quality monitoring, prevent in time the accident of water pollution.
According to a further aspect in the invention, the embodiment of the present invention provides a kind of control method of monitoring water quality on line data.The method operates on computer equipment.It should be noted that, the control device of the monitoring water quality on line data that the control method of the monitoring water quality on line data of the embodiment of the present invention can provide by the embodiment of the present invention is carried out, the control method of the monitoring water quality on line data that the control device of the monitoring water quality on line data of the embodiment of the present invention also can provide for the execution embodiment of the present invention.
Fig. 4 is the steps flow chart schematic diagram of control method of the monitoring water quality on line data of the embodiment of the present invention one.With reference to Fig. 4, should comprise for the control method of monitoring water quality on line data:
Step S101, receives Monitoring Data and Quality Control data that water quality monitoring device context detects, and Monitoring Data has the attribute of the monitoring factor, monitoring time, monitor value, and Quality Control data comprise standard specimen verification data and/or recovery of standard addition data.
Water quality monitoring equipment is the on-line data acquisition instrument with data acquisition function, as in-line analyzer, the in-line analyzer that is positioned at monitoring side can carry out parameter monitoring to water sample to be measured, as comprise: the monitoring of the conventional parameters such as permanganate index, sexavalent chrome, fluoride, sulfide, its online Monitoring Data obtaining that detects has the attribute of monitoring the factor, monitoring time, monitor value; The function that also possesses automatic collection Quality Control data.Quality Control data in the present embodiment comprise: standard specimen is verified data and/or recovery of standard addition data.Wherein, to verify data be in-line analyzer to standard specimen for the standard model of concentration known, carries out parameter testing and verify data to obtain standard specimen; Recovery of standard addition data are the data that in-line analyzer adds the laggard line parameter test of standard model of a certain amount of concentration known to obtain in water sample to be measured, the computing formula of recovery of standard addition is: recovery of standard addition=(mark-on Specimen Determination value-Specimen Determination value)/add scalar * 100%, by judging whether recovery of standard addition meets setting range to detect the interference free performance of online water analysis instrument.In-line analyzer Site Detection obtains after Monitoring Data and Quality Control data, by communications protocol interface, by the standard of communications protocol interface module, upload Monitoring Data and Quality Control data, communications protocol interface stipulates that every class data are identified by command code CN, for example, CN=8051 represents Monitoring Data, CN=3016 represents standard specimen verification data, and CN=3005 represents recovery of standard addition data.In-line analyzer is uploaded Monitoring Data and Quality Control data to Monitoring Data intelligent appraisement system automatically in real time by communications protocol interface.
Step S102, judges that according to Quality Control data whether Monitoring Data is effective, specifically comprises:
According to monitoring time point standard specimen in Preset Time corresponding to Monitoring Data, verify data and whether exceed predictive error rate, if do not exceed predictive error rate, Monitoring Data is effective; Or
Whether monitoring time point Preset Time in the recovery of standard addition data corresponding according to Monitoring Data exceed predictive error scope, if do not exceed predictive error scope, Monitoring Data is effective; Or
According to monitoring time point corresponding to Monitoring Data in Preset Time, standard specimen verifies whether data exceed predictive error rate and whether recovery of standard addition data exceed predictive error scope, when standard specimen is verified, data do not exceed predictive error rate and recovery of standard addition data do not exceed predictive error scope, and Monitoring Data is effective.
While adopting standard specimen verification data to judge the validity of Monitoring Data in the present embodiment, the monitoring time point corresponding according to this Monitoring Data, transfer this standard specimen of 24 hours in monitoring time point front and back and verify data, if standard specimen is verified the error rate of data all in 10%, the value that can prove this Monitoring Data is accurately, standard specimen is verified the value that data are in-line analyzer test concentration known samples, and the computing formula of error rate is: error rate=(| (value-concentration known value of test concentration known sample) |/concentration known value) * 100%.
While adopting recovery of standard addition data to judge the validity of Monitoring Data in the present embodiment, the monitoring time point corresponding according to this Monitoring Data, transfer this monitoring time point front and back recovery of standard addition data of 24 hours, if recovery of standard addition is all in 80%～120% scope, proving Monitoring Data is accurately, and the computing formula of recovery of standard addition is: recovery of standard addition=(C mixes concentration-C water sample concentration) * V volume of water sample/C standard specimen concentration * V standard specimen volume * 100%.
In order further to guarantee the accuracy of Monitoring Data, by standard specimen, verify the validity that data and recovery of standard addition data are proved Monitoring Data simultaneously, transfer the monitoring time point front and back standard specimen of 24 hours corresponding to Monitoring Data and verify data and recovery of standard addition data, if standard specimen is verified the error rate of data all in 10%, and recovery of standard addition is all in 80%～120% scope, and it is effective being enough to prove Monitoring Data.
Step S103, output Monitoring Data, effectively whether the Monitoring Data of output with attribute.
When judging that Monitoring Data is effective, to Monitoring Data, add mark, to show that Monitoring Data has effective attribute.
According to the present embodiment, the Monitoring Data and the Quality Control data that by receiving water quality monitoring device context, detect, and according to the evidence mode of Quality Control data, judge the accuracy of Monitoring Data, automatically realized the evidence to the accuracy of in-line analyzer Monitoring Data, both the complex operation that the manual logging data of having avoided laboratory manual analysis to cause brings, inefficiency, guaranteed again the online detection of water sample, avoided water sample through the be sampled to lab analysis pollution causing or the problem being disturbed, and control procedure automated intelligent of the present invention, detect in time, detection frequency is high, can conscientiously ensure the accuracy of Monitoring Data.
Fig. 5 is the steps flow chart schematic diagram of control method of the monitoring water quality on line data of the embodiment of the present invention two.With reference to Fig. 5, should comprise for the control method of monitoring water quality on line data:
Step S201, receives and comprises the Monitoring Data of water quality monitoring device context detection and the packet of Quality Control data, and Monitoring Data has the attribute of the monitoring factor, monitoring time, monitor value, and Quality Control data comprise standard specimen verification data and/or recovery of standard addition data.
In the present embodiment, in-line analyzer is uploaded Monitoring Data and Quality Control data by the standard of communications protocol interface module with the form of packet by communications protocol interface, communications protocol interface module is self-defining a set of network instruction interface, article one, instruction represents class data, and for example, CN=8051 represents Monitoring Data, CN=3016 represents standard specimen verification data, CN=3005 represents recovery of standard addition data, and instruction is comprised of predetermined format, to facilitate the raw data packets parsing of unpacking.
Step S202, resolves the packet that comprises Monitoring Data and Quality Control data receiving, to obtain Monitoring Data and Quality Control data.
Monitoring Data intelligent appraisement system is resolved and the data in packet is stored categorizedly according to CN sign after receiving raw data packets.
Step S203, is stored to relational database by obtaining after parsing after the data based monitoring time association of Monitoring Data and Quality Control.
After resolving, obtaining after Monitoring Data and Quality Control data, according to CN sign, Monitoring Data and Quality Control data are classified, for example, CN=8051 represents Monitoring Data, CN=3016 represents standard specimen verification data, and CN=3005 represents recovery of standard addition data, and Monitoring Data, standard specimen verification data, the data based monitoring time of recovery of standard addition are stored in relational database, during for Monitoring Data availability deciding, call, thereby improve the efficiency to Monitoring Data availability deciding.
Step S204, judges that according to Quality Control data whether Monitoring Data is effective, specifically comprises:
According to monitoring time point standard specimen in Preset Time corresponding to Monitoring Data, verify data and whether exceed predictive error rate, if do not exceed predictive error rate, Monitoring Data is effective; Or
Whether monitoring time point Preset Time in the recovery of standard addition data corresponding according to Monitoring Data exceed predictive error scope, if do not exceed predictive error scope, Monitoring Data is effective; Or
According to monitoring time point corresponding to Monitoring Data in Preset Time, standard specimen verifies whether data exceed predictive error rate and whether recovery of standard addition data exceed predictive error scope, when standard specimen is verified, data do not exceed predictive error rate and recovery of standard addition data do not exceed predictive error scope, and Monitoring Data is effective.
While adopting standard specimen verification data to judge the validity of Monitoring Data in the present embodiment, the monitoring time point corresponding according to this Monitoring Data, transfer this standard specimen of 24 hours in monitoring time point front and back and verify data, if standard specimen is verified the error rate of data all in 10%, the value that can prove this Monitoring Data is accurately, standard specimen is verified the value that data are in-line analyzer test concentration known samples, and the computing formula of error rate is: error rate=(| (value-concentration known value of test concentration known sample) |/concentration known value) * 100%.
While adopting recovery of standard addition data to judge the validity of Monitoring Data in the present embodiment, the monitoring time point corresponding according to this Monitoring Data, transfer this monitoring time point front and back recovery of standard addition data of 24 hours, if recovery of standard addition is all in 80%～120% scope, proving Monitoring Data is accurately, and the computing formula of recovery of standard addition is: recovery of standard addition=(C mixes concentration-C water sample concentration) * V volume of water sample/C standard specimen concentration * V standard specimen volume * 100%.
In order further to guarantee the accuracy of Monitoring Data, by standard specimen, verify the validity that data and recovery of standard addition data are proved Monitoring Data simultaneously, transfer the monitoring time point front and back standard specimen of 24 hours corresponding to Monitoring Data and verify data and recovery of standard addition data, if standard specimen is verified the error rate of data all in 10%, and recovery of standard addition is all in 80%～120% scope, and it is effective being enough to prove Monitoring Data.
Step S205, output Monitoring Data, effectively whether the Monitoring Data of output with attribute.
When judging that Monitoring Data is effective, to Monitoring Data, add mark, to show that Monitoring Data has effective attribute.
According to the present embodiment, by the raw data packets receiving is resolved, and by the Monitoring Data obtaining after resolving and Quality Control data by instruction automatic classification, and be stored in relational database according to monitoring time, when Monitoring Data being carried out to validity judgement, by transferring the Quality Control data in relational database, as standard specimen is verified data and/or recovery of standard addition data, to improve the efficiency to the judgement of Monitoring Data validity, improve the detection frequency of Monitoring Data, meet the requirement of Monitoring Data accuracy judgement.
Fig. 6 is the steps flow chart schematic diagram of control method of the monitoring water quality on line data of the embodiment of the present invention three.With reference to Fig. 6, should comprise for the control method of monitoring water quality on line data:
Step S301, receives and comprises the Monitoring Data of water quality monitoring device context detection and the packet of Quality Control data, and Monitoring Data has the attribute of the monitoring factor, monitoring time, monitor value, and Quality Control data comprise standard specimen verification data and/or recovery of standard addition data.
In the present embodiment, in-line analyzer is uploaded Monitoring Data and Quality Control data by the standard of communications protocol interface module with the form of packet by communications protocol interface, communications protocol interface module is self-defining a set of network instruction interface, article one, instruction represents class data, and for example, CN=8051 represents Monitoring Data, CN=3016 represents standard specimen verification data, CN=3005 represents recovery of standard addition data, and instruction is comprised of predetermined format, to facilitate the raw data packets parsing of unpacking.
Step S302, resolves the packet that comprises Monitoring Data and Quality Control data receiving, to obtain Monitoring Data and Quality Control data.
Monitoring Data intelligent appraisement system is resolved and the data in packet is stored categorizedly according to CN sign after receiving raw data packets.
Step S303, is stored to relational database by obtaining after parsing after the data based monitoring time association of Monitoring Data and Quality Control.
After resolving, obtaining after Monitoring Data and Quality Control data, according to CN sign, Monitoring Data and Quality Control data are classified, for example, CN=8051 represents Monitoring Data, CN=3016 represents standard specimen verification data, and CN=3005 represents recovery of standard addition data, and Monitoring Data, standard specimen verification data, the data based monitoring time of recovery of standard addition are stored in relational database, during for Monitoring Data availability deciding, call, thereby improve the efficiency to Monitoring Data availability deciding.
Step S304, judges that according to Quality Control data whether Monitoring Data is effective, specifically comprises:
According to monitoring time point standard specimen in Preset Time corresponding to Monitoring Data, verify data and whether exceed predictive error rate, if do not exceed predictive error rate, Monitoring Data is effective; Or
Whether monitoring time point Preset Time in the recovery of standard addition data corresponding according to Monitoring Data exceed predictive error scope, if do not exceed predictive error scope, Monitoring Data is effective; Or
According to monitoring time point corresponding to Monitoring Data in Preset Time, standard specimen verifies whether data exceed predictive error rate and whether recovery of standard addition data exceed predictive error scope, when standard specimen is verified, data do not exceed predictive error rate and recovery of standard addition data do not exceed predictive error scope, and Monitoring Data is effective.
While adopting standard specimen verification data to judge the validity of Monitoring Data in the present embodiment, the monitoring time point corresponding according to this Monitoring Data, transfer this standard specimen of 24 hours in monitoring time point front and back and verify data, if standard specimen is verified the error rate of data all in 10%, the value that can prove this Monitoring Data is accurately, standard specimen is verified the value that data are in-line analyzer test concentration known samples, and the computing formula of error rate is: error rate=(| (value-concentration known value of test concentration known sample) |/concentration known value) * 100%.
While adopting recovery of standard addition data to judge the validity of Monitoring Data in the present embodiment, the monitoring time point corresponding according to this Monitoring Data, transfer this monitoring time point front and back recovery of standard addition data of 24 hours, if recovery of standard addition is all in 80%～120% scope, proving Monitoring Data is accurately, and the computing formula of recovery of standard addition is: recovery of standard addition=(C mixes concentration-C water sample concentration) * V volume of water sample/C standard specimen concentration * V standard specimen volume * 100%.
In order further to guarantee the accuracy of Monitoring Data, by standard specimen, verify the validity that data and recovery of standard addition data are proved Monitoring Data simultaneously, transfer the monitoring time point front and back standard specimen of 24 hours corresponding to Monitoring Data and verify data and recovery of standard addition data, if standard specimen is verified the error rate of data all in 10%, and recovery of standard addition is all in 80%～120% scope, and it is effective being enough to prove Monitoring Data.
Step S305, output Monitoring Data, effectively whether the Monitoring Data of output with attribute.
When judging that Monitoring Data is effective, to Monitoring Data, add mark, to show that Monitoring Data has effective attribute.
Whether effectively step S306, carry out report display by the Monitoring Data of attribute with of output by form.
By Monitoring Data being carried out after availability deciding according to Quality Control data, Quality Control report generation module is called the Monitoring Data with validity mark, effective Monitoring Data is showed to user with the formal intuition of Quality Control tables of data, with the early warning analysis that facilitates user to carry out water quality monitoring, prevent in time the accident of water pollution.
It should be noted that, in the step shown in the process flow diagram of accompanying drawing, can in the computer system such as one group of computer executable instructions, carry out, and, although there is shown logical order in flow process, but in some cases, can carry out shown or described step with the order being different from herein.
Obviously, those skilled in the art should be understood that, above-mentioned each module of the present invention or each step can realize with general calculation element, they can concentrate on single calculation element, or be distributed on the network that a plurality of calculation elements form, alternatively, they can be realized with the executable program code of calculation element, thereby, they can be stored in memory storage and be carried out by calculation element, or they are made into respectively to each integrated circuit modules, or a plurality of modules in them or step are made into single integrated circuit module to be realized.Like this, the present invention is not restricted to any specific hardware and software combination.
The foregoing is only the preferred embodiments of the present invention, be not limited to the present invention, for a person skilled in the art, the present invention can have various modifications and variations.Within the spirit and principles in the present invention all, any modification of doing, be equal to replacement, improvement etc., within all should being included in protection scope of the present invention.
Claims (10)
1. a control method for monitoring water quality on line data, is characterized in that, comprising:
Receive Monitoring Data and Quality Control data that water quality monitoring device context detects, wherein, described Monitoring Data comprises the attribute of the monitoring factor, monitoring time, monitor value, and described Quality Control data comprise standard specimen verification data and/or recovery of standard addition data;
According to described Quality Control data, judge that whether described Monitoring Data is effective;
Export described Monitoring Data, effectively whether the described Monitoring Data of output with attribute.
2. the control method of monitoring water quality on line data according to claim 1, is characterized in that,
Describedly according to described Quality Control data, judge that whether described Monitoring Data effective, comprise following one of at least:
According to monitoring time point described standard specimen in Preset Time corresponding to described Monitoring Data, verify data and whether exceed predictive error rate, if do not exceed predictive error rate, described Monitoring Data is effective;
Whether monitoring time point Preset Time in the described recovery of standard addition data corresponding according to described Monitoring Data exceed predictive error scope, if do not exceed predictive error scope, described Monitoring Data is effective;
According to monitoring time point described standard specimen in Preset Time that described Monitoring Data is corresponding, verify whether data exceed predictive error rate and whether described recovery of standard addition data exceed predictive error scope, when described standard specimen is verified, data do not exceed predictive error rate and described recovery of standard addition data do not exceed predictive error scope, and described Monitoring Data is effective.
3. the control method of monitoring water quality on line data according to claim 1, is characterized in that,
When the described Monitoring Data receiving and Quality Control data are data packet form, also comprise: the packet that comprises described Monitoring Data and Quality Control data receiving is resolved, to obtain described Monitoring Data and Quality Control data.
4. the control method of monitoring water quality on line data according to claim 3, is characterized in that, after resolving, obtains, after described Monitoring Data and Quality Control data, also comprising:
By obtaining after parsing, after the data based monitoring time association of described Monitoring Data and Quality Control, be stored to relational database.
5. according to the control method of the monitoring water quality on line data described in claim 1 to 4 any one, it is characterized in that, export after described Monitoring Data, also comprise:
Whether effectively the described Monitoring Data of attribute with of output is carried out to report display by form.
6. a control device for monitoring water quality on line data, is characterized in that, comprising:
Receiving element, the Monitoring Data and the Quality Control data that for receiving water quality monitoring device context, detect, described Monitoring Data has the attribute of the monitoring factor, monitoring time, monitor value, and described Quality Control data comprise standard specimen verification data and/or recovery of standard addition data;
Quality Control judging unit, for judging that according to described Quality Control data whether described Monitoring Data is effective;
Output unit, for exporting described Monitoring Data, effectively whether the described Monitoring Data of output with attribute.
7. the control device of monitoring water quality on line data according to claim 6, is characterized in that,
Described Quality Control judging unit comprise following one of at least:
Whether the first Quality Control judge module, exceed predictive error rate for verifying data according to monitoring time point described standard specimen in Preset Time corresponding to described Monitoring Data, if do not exceed predictive error rate, described Monitoring Data is effective;
The second Quality Control judge module, for whether exceeding predictive error scope according to monitoring time point described recovery of standard addition data in Preset Time corresponding to described Monitoring Data, if do not exceed predictive error scope, described Monitoring Data is effective;
The 3rd Quality Control judge module, for verifying according to monitoring time point described standard specimen in Preset Time corresponding to described Monitoring Data whether data exceed predictive error rate and whether described recovery of standard addition data exceed predictive error scope, when described standard specimen is verified, data do not exceed predictive error rate and described recovery of standard addition data do not exceed predictive error scope, and described Monitoring Data is effective.
8. the control device of monitoring water quality on line data according to claim 6, is characterized in that, also comprises:
Resolution unit, while being data packet form for the described Monitoring Data when receiving and Quality Control data, resolves the packet that comprises described Monitoring Data and Quality Control data receiving, to obtain described Monitoring Data and Quality Control data.
9. the control device of monitoring water quality on line data according to claim 8, is characterized in that, also comprises:
Relational database loading unit, for obtaining after described Monitoring Data and Quality Control data after resolving, is stored to relational database by obtaining after parsing after the data based monitoring time association of described Monitoring Data and Quality Control.
10. according to the control device of the monitoring water quality on line data described in claim 6 to 9 any one, it is characterized in that, also comprise:
Whether effectively display unit, for carrying out report display by the described Monitoring Data of attribute with of output by form.
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