CN104794148A - Automatic cola type test data compliance monitored control system and method - Google Patents
Automatic cola type test data compliance monitored control system and method Download PDFInfo
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Abstract
The invention discloses an automatic cola type test data compliance monitored control system and method. The automatic cola type test data compliance monitored control system comprises an initialization setting module, a test data collecting module, a repeatability tolerance check module, a heat value empirical formula check module, a laboratory test report generating module and an abnormal information processing module. The automatic cola type test data compliance monitored control system and method have the advantages that test data of test equipment including an all-water measuring instrument, a ball-cylinder calorimeter, an industrial analyzer, a sulphur measurement instrument and the like are collected in real time, the collected data is compared with preset compliance parameters to be subjected to parallel sample over tolerance discrimination, prompts are given on the over tolerance data, and the heat value empirical formula check is conducted only after the discrimination is finished. The automatic cola type test data compliance monitored control system and method can accurately and automatically monitor the execution of test parallel sample rules in time, and the automatic cola type test data compliance monitored control system is an effective tool for test delicacy management.
Description
[technical field]
The present invention relates to electronic information technical field, be specifically related to a kind of coal analysis data compliance automatic monitored control system and method.
[background technology]
The chemical examination of coal generally comprises the chemical examination to calorific value, sulphur content, volatile matter, ash content, moisture etc., and corresponding assay device comprises full water gaging instrument, cylinder calorimeter, sulphur meter, industrial analysis instrument (industrial analysis instrument can measure the content of the moisture of coal, ash content and volatile matter) etc.
In existing procedure, above-mentioned various assay device is done things in his own way, and chemical examination draws corresponding data separately.But, in power plant's coal as received chemical examination, in order to ensure the accuracy chemically examined, to differentiate the compliance of analysis data toward contact.At present, these compliance differentiate it is the experience relying on chemical examination squad leader or special work, artificially collect various analysis data, manually differentiate.Significantly, existing compliance discriminant approach is easily omitted, error is comparatively large, poor in timeliness.
[summary of the invention]
The object of the invention is to provide a kind of coal analysis data compliance automatic monitored control system and method, automatically can gather analysis data and carry out automatic monitoring to analysis data compliance.Object of the present invention is realized by following technical scheme:
A kind of coal analysis data compliance automatic monitored control system, is characterized in that, comprising:
Initialize installation module, for arranging, recording initialization information and supply to transfer, initialization information comprises: the repeatability limit difference of each test item, the early-warning conditions that test item each Duplicate Samples quantity is corresponding and early warning information, and calorific value experimental formula, early warning value and early warning information that each coal is corresponding, test item comprises calorific value, volatile matter, ash content, moisture;
Analysis data acquisition module, for according to first Information Monitoring and described early warning information, gathers the analysis data of corresponding test item from all kinds of assay device, and by the analysis data that receives stored in a middle table;
Repeatability limit difference correction verification module, for by the repeatability limit difference of the analysis data in described middle table and corresponding test item and early-warning conditions comparison corresponding to each Duplicate Samples quantity, carry out Duplicate Samples repeatability limit difference to differentiate, start calorific value experimental formula correction verification module normally, off-specification generates corresponding early warning and notifies analysis data acquisition module;
Calorific value experimental formula correction verification module, for differentiating that the corresponding analysis data closing rule is calculated by the calorific value experimental formula preset by overproof for repeatability limit difference in middle table, result of calculation is compared with calorific value analysis data, if absolute difference is less than default threshold k, start laboratory test report generation module, if be greater than default threshold k, generate corresponding early warning and notify analysis data acquisition module;
Laboratory test report generation module, for carrying out effective chemical examination data genaration electronization verification certificate of the conjunction rule that repeatability limit difference differentiates and calorific value experimental formula verifies by analysis data correction verification module.
As further technical scheme, above-mentioned coal analysis data compliance automatic monitored control system also comprises abnormal information processing module, carry out repeatability limit difference and differentiate and abnormal data in calorific value experimental formula checking procedure record for collecting analysis data correction verification module, formation deviation ratio statistics.
As concrete technical scheme, described repeatability limit difference correction verification module specifically performs following operation:
(1) whether the Duplicate Samples number judging certain test item in middle table is 2, is enter step (2a), otherwise enters step (2b);
(2a) from middle table, get two analysis datas of this test item, between the mean value location according to these two analysis datas, find out corresponding repeatability limit difference setting value T, judge whether the difference of these two analysis datas is greater than setting value T: if be greater than setting value T, enter step (3a); If be less than setting value T, enter step (3b);
(2b) generate the too much very few early warning of Duplicate Samples quantity to analysis data acquisition module, notice analysis data acquisition module carries out the Resurvey of this test item analysis data, returns step (1);
(3a) generate early warning notice analysis data acquisition module gather the 3rd analysis data of this test item and put into described middle table, enter step (4);
(3b) judge to close rule when the repeatability limit difference of the first two analysis data differentiates;
(4) from middle table, get three analysis datas of this test item, judge whether the extreme difference of these three analysis datas is greater than 1.2T: if be greater than 1.2T, enter step (5a); If be less than 1.2T, enter step (5b);
(5a) generate early warning notice analysis data acquisition module gather the 4th analysis data of this test item and put into described middle table, enter step (6);
(5b) judge to close rule when the repeatability limit difference of first three analysis data differentiates;
(6) from middle table, get four analysis datas of this test item, judge whether the extreme difference of these four calorific value analysis datas is greater than 1.3T: if be greater than 1.3T, enter step (7a); If be less than 1.2T, enter step (7b);
(7a) judge whether to there are optional three data from four analysis datas, the extreme difference of three data is less than or equal to the situation of 1.2T: if do not exist, and generates early warning notice analysis data acquisition module Resurvey calorific value analysis data and puts into described middle table, entering step (1); If exist, enter step (7b);
(7b) judge that the repeatability limit difference of current four analysis datas differentiates and close rule.
A kind of analysis data compliance automatic monitoring method, is characterized in that, comprising:
A. arrange, record initialization information and supply to transfer, initialization information comprises: the repeatability limit difference of each test item, the early-warning conditions that test item each Duplicate Samples quantity is corresponding and early warning information, and calorific value experimental formula, early warning value and early warning information that each coal is corresponding, test item comprises calorific value, volatile matter, ash content, moisture;
B. according to first Information Monitoring and the corresponding announcement information of described early warning information, the analysis data of corresponding test item is gathered from all kinds of assay device, and by the analysis data that receives stored in a middle table;
C. by the repeatability limit difference of the analysis data in described middle table and described analysis data and early-warning conditions comparison corresponding to each Duplicate Samples quantity, carry out Duplicate Samples repeatability limit difference and differentiate, enter step D normally, off-specification generates corresponding early warning information;
D. differentiate that the corresponding analysis data closing rule is calculated by the calorific value experimental formula preset by middle table through repeatability limit difference, result of calculation is compared with calorific value analysis data, if absolute difference is less than default threshold value, start laboratory test report generation module, if be greater than default threshold value, generate corresponding early warning and notify analysis data acquisition module;
E. effective chemical examination data genaration electronization verification certificate of the conjunction rule that repeatability limit difference differentiates and calorific value experimental formula verified will be carried out.
As further technical scheme, above-mentioned coal analysis data compliance automatic monitoring method also comprises: collect analysis data correction verification module and carry out repeatability limit difference and differentiate and abnormal data in calorific value experimental formula checking procedure record, formation deviation ratio statistics.
As concrete technical scheme, described step C specifically comprises:
(1) whether the Duplicate Samples number judging certain test item in middle table is 2, is enter step (2a), otherwise enters step (2b);
(2a) from middle table, get two analysis datas of this test item, between the mean value location according to these two analysis datas, find out corresponding repeatability limit difference setting value T, judge whether the difference of these two analysis datas is greater than setting value T: if be greater than setting value T, enter step (3a); If be less than setting value T, enter step (3b);
(2b) generate the too much very few early warning of Duplicate Samples quantity to analysis data acquisition module, notice analysis data acquisition module carries out the Resurvey of this test item analysis data, returns step (1);
(3a) generate early warning notice analysis data acquisition module gather the 3rd analysis data of this test item and put into described middle table, enter step (4);
(3b) judge to close rule when the repeatability limit difference of the first two analysis data differentiates;
(4) from middle table, get three analysis datas of this test item, judge whether the extreme difference of these three analysis datas is greater than 1.2T: if be greater than 1.2T, enter step (5a); If be less than 1.2T, enter step (5b);
(5a) generate early warning notice analysis data acquisition module gather the 4th analysis data of this test item and put into described middle table, enter step (6);
(5b) judge to close rule when the repeatability limit difference of first three analysis data differentiates;
(6) from middle table, get four analysis datas of this test item, judge whether the extreme difference of these four calorific value analysis datas is greater than 1.3T: if be greater than 1.3T, enter step (7a); If be less than 1.2T, enter step (7b);
(7a) judge whether to there are optional three data from four analysis datas, the extreme difference of three data is less than or equal to the situation of 1.2T: if do not exist, and generates early warning notice analysis data acquisition module Resurvey calorific value analysis data and puts into described middle table, entering step (1); If exist, enter step (7b);
(7b) judge that the repeatability limit difference of current four analysis datas differentiates and close rule.
Beneficial effect of the present invention is: by the analysis data of the assay devices such as the full water gaging instrument of Real-time Collection, cylinder calorimeter, industrial analysis instrument, sulphur meter, the compliance parameter that contrast is arranged in advance, carry out the overproof differentiation of Duplicate Samples, overproof carrying out is reminded, and just carries out the verification of calorific value experimental formula after differentiation.The present invention in time, accurately, automatically can monitor the execution of chemical examination Duplicate Samples rule, is the effective aid of chemical examination fine-grained management.
Accompanying drawing explanation
Fig. 1 is the organigram of the coal analysis data compliance automatic monitored control system that the embodiment of the present invention provides.
Fig. 2 is the process flow diagram of the coal analysis data compliance differentiation process that the embodiment of the present invention provides.
Embodiment
As shown in Figure 1, the coal analysis data compliance automatic monitored control system that the present embodiment provides, comprising: Initialize installation module, analysis data acquisition module, repeatability limit difference correction verification module, calorific value experimental formula correction verification module, laboratory test report generation module, abnormal information processing module.
Wherein, Initialize installation module is used for arranging, recording initialization information and supply to transfer.In the present embodiment, analysis data comprises calorific value, sulphur content, volatile matter, ash content, moisture, described initialization information comprises: the repeatability limit difference of each analysis data, the early-warning conditions that each Duplicate Samples quantity is corresponding and early warning information, and calorific value experimental formula, early warning value and early warning information that each coal is corresponding.For the chemical examination of calorific value, if the repeatability limit difference of calorific value data is T, early-warning conditions corresponding to Duplicate Samples quantity is minimumly get two values, get at most four values, the early warning information that repeatability limit difference judges comprises: the too much very few early warning of Duplicate Samples quantity, the first two value do not conform to that rule need to get the early warning of the 3rd value, first three value does not conform to that rule need to get the early warning of the 4th value, front four values do not conform to the early warning of advising needs reinspection.
Analysis data acquisition module is used for, according to first Information Monitoring and corresponding early warning information, gathering corresponding analysis data from all kinds of assay device, and by the analysis data that receives stored in a middle table.Assay device comprises full water gaging instrument, cylinder calorimeter, sulphur meter, industrial analysis instrument (industrial analysis instrument can measure the content of the moisture of coal, ash content and volatile matter) etc., these equipment are communicated with analysis data acquisition module by interfaces such as RS232, RS485, CAN, analysis data are supplied to analysis data acquisition module.
In order to ensure the accuracy chemically examined, the present embodiment adopts following compliance to differentiate to the analysis data collected: 1, require that same is chemically examined and carry out twice, contrast its difference, if overproof, then require to chemically examine third time again, three analysis data contrasts, also not up to standard, then chemically examine the 4th time; Or else up to standard, the analysis data cancelled above, chemically examines again.2, the result of chemical examination, the experimental formula according to its coal calorific value is tested, if difference exceedes certain numerical value, then will carry out the process such as reinspection.
Wherein, repeatability limit difference correction verification module is by the repeatability limit difference of the analysis data in described middle table and described analysis data and early-warning conditions comparison corresponding to each Duplicate Samples quantity, carry out the overproof differentiation of Duplicate Samples repeatability limit difference, start calorific value experimental formula correction verification module normally, off-specification generates corresponding early warning and notifies analysis data acquisition module.Shown in composition graphs 2, be judged as example with the compliance of calorific value analysis data below, the instantiation that repeatability limit difference differentiates be described:
(1) judge that the Duplicate Samples number detecting calorific value analysis data in middle table is as 2, be enter step (2a), otherwise enter step (2b);
(2a) from middle table, get two calorific value analysis datas, between the mean value location according to two calorific value analysis datas, find out corresponding repeatability limit difference T value, then judge whether the difference of two samples is greater than setting value T: if be greater than setting value T, enter step (3a); If be less than setting value T, enter step (3b);
(2b) generate the too much very few early warning of Duplicate Samples quantity to analysis data acquisition module, carried out the Resurvey of Duplicate Samples calorific value analysis data by analysis data acquisition module, return step (1);
(3a) generate early warning notice analysis data acquisition module collection the 3rd calorific value analysis data and put into described middle table, entering step (4);
(3b) judge that rule are closed in the overproof differentiation of repeatability limit difference when the first two calorific value analysis data;
(4) from middle table, get three calorific value analysis datas, judge whether the extreme difference (difference namely between maximal value and minimum value) of these three calorific value analysis datas is greater than 1.2T: if be greater than 1.2T, enter step (5a); If be less than 1.2T, enter step (5b);
(5a) generate early warning notice analysis data acquisition module collection the 4th calorific value analysis data and put into described middle table, entering step (6);
(5b) judge that rule are closed in the overproof differentiation of repeatability limit difference when first three calorific value analysis data;
(6) from middle table, get four calorific value analysis datas, judge whether the extreme difference (difference namely between maximal value and minimum value) of these four calorific value analysis datas is greater than 1.3T: if be greater than 1.3T, enter step (7a); If be less than 1.2T, enter step (7b);
(7a) judge whether to there are optional three data from four calorific value analysis datas, the extreme difference of three data is less than or equal to the situation of 1.2T: if do not exist, then generate early warning notice analysis data acquisition module Resurvey calorific value analysis data and put into described middle table, entering step (1); If exist, then enter step (7b);
(7b) judge that rule are closed in the overproof differentiation of repeatability limit difference of current four calorific value analysis datas.
In addition, calorific value experimental formula correction verification module is used for differentiating that the corresponding analysis data closing rule is calculated by the calorific value experimental formula preset by overproof for repeatability limit difference in middle table, result of calculation is compared with calorific value analysis data, if absolute difference is less than default threshold value, start laboratory test report generation module, if absolute difference is greater than default threshold value, generates corresponding early warning and notify analysis data acquisition module, shown in composition graphs 2.
The present embodiment provides a concrete bituminous coal calorific value experimental formula, as follows:
Qnet,ar＝(100－Mar)/(100－Mad)*(35860－73.7*Vad－395.7*Aad－702*Mad)/4.1816。
Wherein, Qnet, ar are experience calorific value, and unit is kcal/kg; Mar is the total moisture recorded by full water gaging instrument, gets the mean value of Duplicate Samples, and unit is %; Mad is blast dryer moisture, gets the mean value of Duplicate Samples, and unit is %; Vad is blast dryer volatile matter, gets the mean value of Duplicate Samples, and unit is %; Aad is blast dryer ash content, gets the mean value of Duplicate Samples, and unit is %.
After each analysis data in middle table all completes the differentiation of repeatability limit difference, then by above-mentioned formula, involved analysis data is calculated, if the calorific value Qnet that experimental formula calculates, absolute value differences between the calorific value Q that ar and assay device (cylinder calorimeter) test out is greater than 200, then generate early warning notice analysis data acquisition module Resurvey calorific value analysis data.
Laboratory test report generation module is used for effective chemical examination data genaration electronization verification certificate analysis data correction verification module being carried out the conjunction rule that repeatability limit difference differentiates and calorific value experimental formula verified.
Abnormal information processing module is carried out repeatability limit difference and is differentiated and abnormal data in calorific value experimental formula checking procedure record for collecting analysis data correction verification module, formation deviation ratio statistics.
The coal analysis data compliance automatic monitored control system that the present embodiment provides and method, in time, accurately, automatically can monitor the execution of chemical examination Duplicate Samples rule and the accuracy of analysis data, be the effective aid of chemical examination fine-grained management.
Above embodiment is only fully open and unrestricted the present invention, all based on creation purport of the present invention, replacement without the equivalence techniques feature of creative work, should be considered as the scope that the application discloses.
Claims (6)
1. a coal analysis data compliance automatic monitored control system, is characterized in that, comprising:
Initialize installation module, for arranging, recording initialization information and supply to transfer, initialization information comprises: the repeatability limit difference of each test item, the early-warning conditions that test item each Duplicate Samples quantity is corresponding and early warning information, and calorific value experimental formula, early warning value and early warning information that each coal is corresponding, test item comprises calorific value, volatile matter, ash content, moisture;
Analysis data acquisition module, for according to first Information Monitoring and described early warning information, gathers the analysis data of corresponding test item from all kinds of assay device, and by the analysis data that receives stored in a middle table;
Repeatability limit difference correction verification module, for by the repeatability limit difference of the analysis data in described middle table and corresponding test item and early-warning conditions comparison corresponding to each Duplicate Samples quantity, carry out Duplicate Samples repeatability limit difference to differentiate, start calorific value experimental formula correction verification module normally, off-specification generates corresponding early warning and notifies analysis data acquisition module;
Calorific value experimental formula correction verification module, for differentiating that the corresponding analysis data closing rule is calculated by the calorific value experimental formula preset by overproof for repeatability limit difference in middle table, result of calculation is compared with calorific value analysis data, if absolute difference is less than default threshold k, start laboratory test report generation module, if be greater than default threshold k, generate corresponding early warning and notify analysis data acquisition module;
Laboratory test report generation module, for carrying out effective chemical examination data genaration electronization verification certificate of the conjunction rule that repeatability limit difference differentiates and calorific value experimental formula verifies by analysis data correction verification module.
2. coal analysis data compliance automatic monitored control system according to claim 1, it is characterized in that, also comprise abnormal information processing module, carry out repeatability limit difference and differentiate and abnormal data in calorific value experimental formula checking procedure record for collecting analysis data correction verification module, formation deviation ratio statistics.
3. coal analysis data compliance automatic monitored control system according to claim 1, is characterized in that, described repeatability limit difference correction verification module specifically performs following operation:
(1) whether the Duplicate Samples number judging certain test item in middle table is 2, is enter step (2a), otherwise enters step (2b);
(2a) from middle table, get two analysis datas of this test item, between the mean value location according to these two analysis datas, find out corresponding repeatability limit difference setting value T, judge whether the difference of these two analysis datas is greater than setting value T: if be greater than setting value T, enter step (3a); If be less than setting value T, enter step (3b);
(2b) generate the too much very few early warning of Duplicate Samples quantity to analysis data acquisition module, notice analysis data acquisition module carries out the Resurvey of this test item analysis data, returns step (1);
(3a) generate early warning notice analysis data acquisition module gather the 3rd analysis data of this test item and put into described middle table, enter step (4);
(3b) judge to close rule when the repeatability limit difference of the first two analysis data differentiates;
(4) from middle table, get three analysis datas of this test item, judge whether the extreme difference of these three analysis datas is greater than 1.2T: if be greater than 1.2T, enter step (5a); If be less than 1.2T, enter step (5b);
(5a) generate early warning notice analysis data acquisition module gather the 4th analysis data of this test item and put into described middle table, enter step (6);
(5b) judge to close rule when the repeatability limit difference of first three analysis data differentiates;
(6) from middle table, get four analysis datas of this test item, judge whether the extreme difference of these four calorific value analysis datas is greater than 1.3T: if be greater than 1.3T, enter step (7a); If be less than 1.2T, enter step (7b);
(7a) judge whether to there are optional three data from four analysis datas, the extreme difference of three data is less than or equal to the situation of 1.2T: if do not exist, and generates early warning notice analysis data acquisition module Resurvey calorific value analysis data and puts into described middle table, entering step (1); If exist, enter step (7b);
(7b) judge that the repeatability limit difference of current four analysis datas differentiates and close rule.
4. an analysis data compliance automatic monitoring method, is characterized in that, comprising:
A. arrange, record initialization information and supply to transfer, initialization information comprises: the repeatability limit difference of each test item, the early-warning conditions that test item each Duplicate Samples quantity is corresponding and early warning information, and calorific value experimental formula, early warning value and early warning information that each coal is corresponding, test item comprises calorific value, volatile matter, ash content, moisture;
B. according to first Information Monitoring and the corresponding announcement information of described early warning information, the analysis data of corresponding test item is gathered from all kinds of assay device, and by the analysis data that receives stored in a middle table;
C. by the repeatability limit difference of the analysis data in described middle table and described analysis data and early-warning conditions comparison corresponding to each Duplicate Samples quantity, carry out Duplicate Samples repeatability limit difference and differentiate, enter step D normally, off-specification generates corresponding early warning information;
D. differentiate that the corresponding analysis data closing rule is calculated by the calorific value experimental formula preset by middle table through repeatability limit difference, result of calculation is compared with calorific value analysis data, if absolute difference is less than default threshold value, start laboratory test report generation module, if be greater than default threshold value, generate corresponding early warning and notify analysis data acquisition module;
E. effective chemical examination data genaration electronization verification certificate of the conjunction rule that repeatability limit difference differentiates and calorific value experimental formula verified will be carried out.
5. analysis data compliance automatic monitoring method according to claim 4, it is characterized in that, also comprise: collect analysis data correction verification module and carry out repeatability limit difference and differentiate and abnormal data in calorific value experimental formula checking procedure record, formation deviation ratio statistics.
6. analysis data compliance automatic monitoring method according to claim 4, it is characterized in that, described step C specifically comprises:
(1) whether the Duplicate Samples number judging certain test item in middle table is 2, is enter step (2a), otherwise enters step (2b);
(2a) from middle table, get two analysis datas of this test item, between the mean value location according to these two analysis datas, find out corresponding repeatability limit difference setting value T, judge whether the difference of these two analysis datas is greater than setting value T: if be greater than setting value T, enter step (3a); If be less than setting value T, enter step (3b);
(2b) generate the too much very few early warning of Duplicate Samples quantity to analysis data acquisition module, notice analysis data acquisition module carries out the Resurvey of this test item analysis data, returns step (1);
(3a) generate early warning notice analysis data acquisition module gather the 3rd analysis data of this test item and put into described middle table, enter step (4);
(3b) judge to close rule when the repeatability limit difference of the first two analysis data differentiates;
(4) from middle table, get three analysis datas of this test item, judge whether the extreme difference of these three analysis datas is greater than 1.2T: if be greater than 1.2T, enter step (5a); If be less than 1.2T, enter step (5b);
(5a) generate early warning notice analysis data acquisition module gather the 4th analysis data of this test item and put into described middle table, enter step (6);
(5b) judge to close rule when the repeatability limit difference of first three analysis data differentiates;
(6) from middle table, get four analysis datas of this test item, judge whether the extreme difference of these four calorific value analysis datas is greater than 1.3T: if be greater than 1.3T, enter step (7a); If be less than 1.2T, enter step (7b);
(7a) judge whether to there are optional three data from four analysis datas, the extreme difference of three data is less than or equal to the situation of 1.2T: if do not exist, and generates early warning notice analysis data acquisition module Resurvey calorific value analysis data and puts into described middle table, entering step (1); If exist, enter step (7b);
(7b) judge that the repeatability limit difference of current four analysis datas differentiates and close rule.
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