CN104794148B - Coal analysis data compliance automatic monitored control system and method - Google Patents
Coal analysis data compliance automatic monitored control system and method Download PDFInfo
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Abstract
The present invention discloses a kind of coal analysis data compliance automatic monitored control system and method, and wherein system includes Initialize installation module, analysis data acquisition module, repeatability limit difference correction verification module, calorific value empirical equation correction verification module, laboratory test report generation module, exception information processing module.The beneficial effects of the present invention are：By the analysis data for gathering the assay devices such as full water gaging instrument, cylinder calorimeter, industrial analysis instrument, sulphur meter in real time, compare compliance parameter set in advance, the overproof differentiation of Duplicate Samples is carried out, overproof remind, and calorific value empirical equation verification is just carried out after differentiation.The present invention can in time, accurately, automatically monitor the execution of chemical examination Duplicate Samples rule, be the chemical examination effective auxiliary tool of fine-grained management.
Description
【Technical field】
The present invention relates to electronic information technical fields, and in particular 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., corresponding assay device
Including full water gaging instrument, cylinder calorimeter, sulphur meter, industrial analysis instrument, (industrial analysis instrument can measure the moisture of coal, ash content
With the content of volatile matter) etc..
In existing procedure, above-mentioned various assay devices are done things in his own way, and each chemical examination draws corresponding data.However,
In power plant's coal as received chemical examination, in order to ensure the accuracy of chemical examination, the compliance of analysis data is differentiated toward contact.Mesh
Before, the differentiation of these compliance is the experience by chemical examination squad leader or special work, artificially collects various analysis datas, is manually sentenced
Not.It is apparent that existing compliance discriminant approach is easily omitted, error is larger, poor in timeliness.
【The content of the invention】
It is an object of the present invention to provide a kind of coal analysis data compliance automatic monitored control system and methods, being capable of automatic collection
Analysis data simultaneously monitors analysis data compliance automatically.The purpose of the present invention is realized by following technical scheme：
A kind of coal analysis data compliance automatic monitored control system, which is characterized in that including：
Initialize installation module, for setting, recording initialization information and supply to transfer, initialization information includes：Each chemical examination
The repeatability limit difference of item, the corresponding early-warning conditions of each Duplicate Samples quantity of test item and early warning information and each coal pair
Calorific value empirical equation, early warning value and the early warning information answered, test item include calorific value, volatile matter, ash content, moisture；
Analysis data acquisition module, for according to first acquisition information and the early warning information, being set from all kinds of chemical examinations
The standby analysis data for gathering corresponding test item, and the analysis data received is stored in a middle table；
Repeatability limit difference correction verification module, for by the repeatability limit of the analysis data in the middle table and corresponding test item
Difference and the corresponding early-warning conditions of each Duplicate Samples quantity compare, and carry out Duplicate Samples repeatability limit difference and differentiate, normally start calorific value
Empirical equation correction verification module, off-specification generate corresponding early warning and notify analysis data acquisition module；
Calorific value empirical equation correction verification module, for the overproof differentiation of repeatability limit difference in middle table to be closed to the corresponding chemical examination number of rule
It is calculated according to by default calorific value empirical equation, by result of calculation compared with calorific value analysis data, if absolute difference
Then start laboratory test report generation module less than default threshold k, corresponding early warning is then generated simultaneously if greater than default threshold k
Notify analysis data acquisition module；
Laboratory test report generation module, for analysis data correction verification module to be carried out, repeatability limit difference differentiated and calorific value experience is public
Effective analysis data generation electronics laboratory test report of the conjunction rule of formula verification.
As further technical solution, above-mentioned coal analysis data compliance automatic monitored control system further includes exception information
Processing module is carried out for collecting analysis data correction verification module in the differentiation of repeatability limit difference and calorific value empirical equation checking procedure
Abnormal data simultaneously records, and forms deviation ratio statistics.
As specific technical solution, the repeatability limit difference correction verification module specifically performs following operation：
(1) whether the Duplicate Samples number for judging certain test item in middle table is 2, is to enter step (2a), otherwise enters
Step (2b)；
(2a) takes two analysis datas of the test item from middle table, according to where the average value of two analysis datas
Corresponding repeatability limit difference setting value T is found out in section, judges whether the difference of two analysis datas is more than setting value T：It is if big
It is then entered step (3a) in setting value T；It is entered step (3b) if setting value T is less than；
The excessive very few early warning of (2b) generation Duplicate Samples quantity gives analysis data acquisition module, and notice analysis data is adopted
Collection module carries out resurveying for the test item analysis data, return to step (1)；
(3a) generation early warning notice analysis data acquisition module gathers the 3rd analysis data of the test item and puts
Enter in the middle table, enter step (4)；
(3b) judges to close rule when the repeatability limit difference of the first two analysis data differentiates；
(4) three analysis datas of the test item are taken from middle table, the very poor whether big of three analysis datas judged
In 1.2T：It is then entered step (5a) if more than 1.2T；It is entered step (5b) if 1.2T is less than；
(5a) generation early warning notice analysis data acquisition module gathers the 4th analysis data of the test item and puts
Enter in the middle table, enter step (6)；
(5b) judges to close rule when the repeatability limit difference of first three analysis data differentiates；
(6) four analysis datas of the test item are taken from middle table, judge that four the very poor of calorific value analysis data are
It is no to be more than 1.3T：It is then entered step (7a) if more than 1.3T；It is entered step (7b) if 1.2T is less than；
(7a) judges whether that optional three data, three the very poor of data are less than or equal to from four analysis datas
The situation of 1.2T：Early warning notice analysis data acquisition module is generated if being not present to resurvey calorific value analysis data and put
Enter in the middle table, enter step (1)；If being entered step in the presence of if (7b)；
(7b) judges that the repeatability limit difference of current four analysis datas differentiates and closes rule.
A kind of analysis data compliance automatic monitoring method, which is characterized in that including：
A. set, record initialization information and for transferring, initialization information includes：The repeatability limit difference of each test item,
The corresponding early-warning conditions of each Duplicate Samples quantity of test item and early warning information and the corresponding calorific value empirical equation of each coal,
Early warning value and early warning information, test item include calorific value, volatile matter, ash content, moisture；
B. according to first acquisition information and the corresponding notification information of the early warning information, phase is gathered from all kinds of assay devices
The analysis data of test item is answered, and the analysis data received is stored in a middle table；
C. by the repeatability limit difference and each Duplicate Samples quantity of the analysis data in the middle table and the analysis data
Corresponding early-warning conditions compare, and carry out Duplicate Samples repeatability limit difference and differentiate, normally enter step D, and off-specification generation is corresponding
Early warning information；
D. repeatability limit difference will be passed through in middle table and differentiate that the corresponding analysis data for closing rule is public by default calorific value experience
Formula is calculated, by result of calculation compared with calorific value analysis data, the startup if absolute difference is less than default threshold value
Verification certificate generation module then generates corresponding early warning if greater than default threshold value and notifies analysis data acquisition module；
E. the poor effective analysis data generation electricity for differentiating the conjunction verified with calorific value empirical equation and advising of repeatability limit will be carried out
Sub- laboratory test report.
As further technical solution, above-mentioned coal analysis data compliance automatic monitoring method further includes：Collectionization
It tests data check module and carries out the differentiation of repeatability limit difference and abnormal data and record in calorific value empirical equation checking procedure, formed
Deviation ratio statistics.
As specific technical solution, the step C is specifically included：
(1) whether the Duplicate Samples number for judging certain test item in middle table is 2, is to enter step (2a), otherwise enters
Step (2b)；
(2a) takes two analysis datas of the test item from middle table, according to where the average value of two analysis datas
Corresponding repeatability limit difference setting value T is found out in section, judges whether the difference of two analysis datas is more than setting value T：It is if big
It is then entered step (3a) in setting value T；It is entered step (3b) if setting value T is less than；
The excessive very few early warning of (2b) generation Duplicate Samples quantity gives analysis data acquisition module, and notice analysis data is adopted
Collection module carries out resurveying for the test item analysis data, return to step (1)；
(3a) generation early warning notice analysis data acquisition module gathers the 3rd analysis data of the test item and puts
Enter in the middle table, enter step (4)；
(3b) judges to close rule when the repeatability limit difference of the first two analysis data differentiates；
(4) three analysis datas of the test item are taken from middle table, the very poor whether big of three analysis datas judged
In 1.2T：It is then entered step (5a) if more than 1.2T；It is entered step (5b) if 1.2T is less than；
(5a) generation early warning notice analysis data acquisition module gathers the 4th analysis data of the test item and puts
Enter in the middle table, enter step (6)；
(5b) judges to close rule when the repeatability limit difference of first three analysis data differentiates；
(6) four analysis datas of the test item are taken from middle table, judge that four the very poor of calorific value analysis data are
It is no to be more than 1.3T：It is then entered step (7a) if more than 1.3T；It is entered step (7b) if 1.2T is less than；
(7a) judges whether that optional three data, three the very poor of data are less than or equal to from four analysis datas
The situation of 1.2T：Early warning notice analysis data acquisition module is generated if being not present to resurvey calorific value analysis data and put
Enter in the middle table, enter step (1)；If being entered step in the presence of if (7b)；
(7b) judges that the repeatability limit difference of current four analysis datas differentiates and closes rule.
The beneficial effects of the present invention are：By gathering full water gaging instrument, cylinder calorimeter, industrial analysis instrument, survey in real time
The analysis data of the assay devices such as sulphur instrument, compares compliance parameter set in advance, carries out the overproof differentiation of Duplicate Samples, it is overproof into
Row is reminded, and calorific value empirical equation verification is just carried out after differentiation.It is flat that the present invention can in time, accurately, automatically monitor chemical examination
The execution of row control gauge then is the chemical examination effective auxiliary tool of fine-grained management.
Description of the drawings
Fig. 1 is the organigram of coal analysis data compliance automatic monitored control system provided in an embodiment of the present invention.
Fig. 2 is the flow chart that coal analysis data compliance provided in an embodiment of the present invention differentiates process.
Specific embodiment
As shown in Figure 1, coal analysis data compliance automatic monitored control system provided in this embodiment, including：Initialization is set
Put module, analysis data acquisition module, repeatability limit difference correction verification module, calorific value empirical equation correction verification module, laboratory test report generation mould
Block, exception information processing module.
Wherein, Initialize installation module is used to set, records initialization information and for transferring.In the present embodiment, number is chemically examined
According to including calorific value, sulphur content, volatile matter, ash content, moisture, the initialization information includes：The repeatability limit difference of each analysis data,
The corresponding early-warning conditions of each Duplicate Samples quantity and warning information and the corresponding calorific value empirical equation of each coal, early warning value and pre-
Alert information.By taking the chemical examination of calorific value as an example, if the repeatability limit difference of calorific value data is T, the corresponding early-warning conditions of Duplicate Samples quantity
At least to take two values, four values are at most taken, the warning information that repeatability limit difference judges includes：Duplicate Samples quantity is excessively very few
Early warning, the first two value does not conform to rule and needs to take the early warning of the 3rd value, first three value not to conform to rule needs to take the
The early warning of four values, preceding four values do not conform to the early warning that rule needs are rechecked.
Analysis data acquisition module is used to, according to first acquisition information and corresponding early warning information, set from all kinds of chemical examinations
It is standby to gather corresponding analysis data, and the analysis data received is stored in a middle table.Assay device includes full water gaging
(industrial analysis instrument can measure containing for the moisture of coal, ash content and volatile matter for instrument, cylinder calorimeter, sulphur meter, industrial analysis instrument
Amount) etc., these equipment are communicated by interfaces such as RS232, RS485, CAN with analysis data acquisition module, and analysis data is provided
Give analysis data acquisition module.
In order to ensure the accuracy of chemical examination, the present embodiment differentiates the analysis data collected using following compliance：1、
It is required that same chemical examination carries out twice, comparing its difference, if overproof, it is required that chemically examining third time, three analysis datas pair again
Than, it is also not up to standard, then it chemically examines the 4th time；Or else it is up to standard, cancel the analysis data of front, chemically examine again.2nd, chemical examination as a result, root
It tests according to the empirical equation of its coal calorific value, if difference is more than certain numerical value, to carry out the processing such as rechecking.
Wherein, repeatability limit difference correction verification module is by the repeatability of the analysis data in the middle table and the analysis data
It limits difference and the corresponding early-warning conditions of each Duplicate Samples quantity compares, carry out the overproof differentiation of Duplicate Samples repeatability limit difference, normally open
Dynamic calorific value empirical equation correction verification module, off-specification generate corresponding early warning and notify analysis data acquisition module.With reference to
Shown in Fig. 2, below by taking the compliance of calorific value analysis data judges as an example, illustrate the specific example that repeatability limit difference differentiates：
(1) the Duplicate Samples number for judging to detect calorific value analysis data in middle table is for 2, is to enter step (2a), no
It then enters step (2b)；
(2a) takes two calorific value analysis datas from middle table, according to the average value location of two calorific value analysis datas
Between, corresponding repeatability limit difference T values are found out, then judge whether the difference of two samples is more than setting value T：If more than setting value T,
It enters step (3a)；If less than setting value T, enter step (3b)；
The excessive very few early warning of (2b) generation Duplicate Samples quantity gives analysis data acquisition module, is gathered by analysis data
Module carries out resurveying for Duplicate Samples calorific value analysis data, return to step (1)；
(3a) generation early warning notice analysis data acquisition module gathers the 3rd calorific value analysis data and is put into described
It in middle table, enters step (4)；
(3b) judges to differentiate conjunction rule when the repeatability limit difference of the first two calorific value analysis data is overproof；
(4) three calorific value analysis datas are taken from middle table, judge very poor (the i.e. maximum of three calorific value analysis datas
Difference between minimum value) whether it is more than 1.2T：If more than 1.2T, enter step (5a)；If less than 1.2T, enter step
(5b)；
(5a) generation early warning notice analysis data acquisition module gathers the 4th calorific value analysis data and is put into described
It in middle table, enters step (6)；
(5b) judges to differentiate conjunction rule when the repeatability limit difference of first three calorific value analysis data is overproof；
(6) four calorific value analysis datas are taken from middle table, judge very poor (the i.e. maximum of four calorific value analysis datas
Difference between minimum value) whether it is more than 1.3T：If more than 1.3T, enter step (7a)；If less than 1.2T, enter step
(7b)；
(7a) judges whether optional three data from four calorific value analysis datas, and the very poor of three data is less than etc.
In the situation of 1.2T：If being not present, generate early warning notice analysis data acquisition module and resurvey calorific value analysis data
And be put into the middle table, it enters step (1)；If in the presence of entering step (7b)；
(7b) judges that the repeatability limit difference of current four calorific value analysis datas is overproof and differentiates conjunction rule.
In addition, calorific value empirical equation correction verification module is used for overproof correspondingization for differentiating conjunction rule of repeatability limit difference in middle table
It tests data to be calculated by default calorific value empirical equation, by result of calculation compared with calorific value analysis data, if difference is exhausted
Laboratory test report generation module is then started less than default threshold value to value, is generated if absolute difference is more than default threshold value corresponding
Early warning and notify analysis data acquisition module, with reference to shown in Fig. 2.
It is as follows the present embodiment provides a specific bituminous coal calorific value empirical equation：
Qnet, ar=(100-Mar)/(100-Mad) * (35860-73.7*Vad-395.7*Aad-702*Mad)/
4.1816。
Wherein, Qnet, ar be experience calorific value, unit kcal/kg；Mar is the total moisture measured by full water gaging instrument, is taken
The average value of Duplicate Samples, unit %；Mad is dried-air drier moisture, takes the average value of Duplicate Samples, unit %；Vad is sky
Gas drying machine volatile matter takes the average value of Duplicate Samples, unit %；Aad is dried-air drier ash content, takes being averaged for Duplicate Samples
Value, unit %.
After each analysis data in middle table, which all completes repeatability limit difference, to be differentiated, then by above-mentioned formula to involved
Analysis data is calculated, if the heat that calorific value Qnet, ar that empirical equation calculates are tested out with assay device (cylinder calorimeter)
Absolute value differences between value Q are more than 200, then generate early warning notice analysis data acquisition module and resurvey calorific value chemical examination
Data.
Laboratory test report generation module is used to analysis data correction verification module carrying out the differentiation of repeatability limit difference and calorific value empirical equation
Effective analysis data generation electronics laboratory test report of the conjunction rule verified.
Exception information processing module carries out the differentiation of repeatability limit difference and calorific value experience for collecting analysis data correction verification module
Abnormal data and record in formula checking procedure form deviation ratio statistics.
Coal analysis data compliance automatic monitored control system and method provided in this embodiment, can in time, accurately, automatically
The execution of ground monitoring chemical examination Duplicate Samples rule and the accuracy of analysis data, are the chemical examination effective backmans of fine-grained management
Tool.
Above example be only it is fully open is not intended to limit the present invention, all creation purports based on the present invention, without creating
Property work equivalence techniques feature replacement, should be considered as the application exposure scope.
Claims (4)
1. a kind of coal analysis data compliance automatic monitored control system, including：
Initialize installation module, for setting, recording initialization information and supply to transfer, initialization information includes：Each test item
Repeatability limit difference, the corresponding early-warning conditions of each Duplicate Samples quantity of test item and early warning information and each coal are corresponding
Calorific value empirical equation, early warning value and early warning information, test item include calorific value, volatile matter, ash content, moisture；
Analysis data acquisition module, for according to first acquisition information and the early warning information, being adopted from all kinds of assay devices
Collect the analysis data of corresponding test item, and the analysis data received is stored in a middle table；
Repeatability limit difference correction verification module, for by the repeatability limit difference of the analysis data in the middle table and corresponding test item
And the corresponding early-warning conditions of each Duplicate Samples quantity compare, and carry out Duplicate Samples repeatability limit difference and differentiate, normally start calorific value experience
Formula correction verification module, off-specification generate corresponding early warning and notify analysis data acquisition module；
Calorific value empirical equation correction verification module, for the overproof corresponding analysis data for differentiating conjunction rule of repeatability limit difference in middle table to be led to
It crosses default calorific value empirical equation to be calculated, by result of calculation compared with calorific value analysis data, if absolute difference is less than
Default threshold k then starts laboratory test report generation module, then generates corresponding early warning if greater than default threshold k and notifies
Analysis data acquisition module；
Laboratory test report generation module differentiates and calorific value empirical equation school for analysis data correction verification module to be carried out repeatability limit difference
The effective analysis data generation electronics laboratory test report for the conjunction rule tested；
It is characterized in that, the repeatability limit difference correction verification module specifically performs following operation：
(1) whether the Duplicate Samples number for judging certain test item in middle table is 2, is to enter step (2a), otherwise enters step
(2b)；
(2a) takes two analysis datas of the test item from middle table, according to the average value location of two analysis datas
Between, corresponding repeatability limit difference setting value T is found out, judges whether the difference of two analysis datas is more than setting value T：If more than
Setting value T is then entered step (3a)；It is entered step (3b) if setting value T is less than；
The excessive very few early warning of (2b) generation Duplicate Samples quantity gives analysis data acquisition module, notice analysis data acquisition mould
Block carries out resurveying for the test item analysis data, return to step (1)；
(3a) generation early warning notice analysis data acquisition module gathers the 3rd analysis data of the test item and is put into institute
It states in middle table, enters step (4)；
(3b) judges to close rule when the repeatability limit difference of the first two analysis data differentiates；
(4) three analysis datas of the test item are taken from middle table, judge whether the very poor of three analysis datas is more than
1.2T：It is then entered step (5a) if more than 1.2T；It is entered step (5b) if 1.2T is less than；
(5a) generation early warning notice analysis data acquisition module gathers the 4th analysis data of the test item and is put into institute
It states in middle table, enters step (6)；
(5b) judges to close rule when the repeatability limit difference of first three analysis data differentiates；
(6) four analysis datas of the test item are taken from middle table, the very poor whether big of four calorific value analysis datas judged
In 1.3T：It is then entered step (7a) if more than 1.3T；It is entered step (7b) if 1.2T is less than；
(7a) judges whether optional three data from four analysis datas, and three the very poor of data are less than or equal to 1.2T's
Situation：Early warning notice analysis data acquisition module is generated if being not present to resurvey calorific value analysis data and be put into described
It in middle table, enters step (1)；If being entered step in the presence of if (7b)；
(7b) judges that the repeatability limit difference of current four analysis datas differentiates and closes rule.
2. coal analysis data compliance automatic monitored control system according to claim 1, which is characterized in that further include exception
Message processing module carries out the differentiation of repeatability limit difference and calorific value empirical equation checking procedure for collecting analysis data correction verification module
In abnormal data and record, formed deviation ratio statistics.
3. a kind of analysis data compliance automatic monitoring method, including：
A. set, record initialization information and for transferring, initialization information includes：The repeatability limit difference of each test item, chemical examination
The corresponding early-warning conditions of each Duplicate Samples quantity of item and early warning information and the corresponding calorific value empirical equation of each coal, early warning
Value and early warning information, test item include calorific value, volatile matter, ash content, moisture；
B. according to first acquisition information and the corresponding notification information of the early warning information, correspondingization is gathered from all kinds of assay devices
The analysis data of item is tested, and the analysis data received is stored in a middle table；
C. it is the analysis data in the middle table is corresponding with the repeatability limit difference of the analysis data and each Duplicate Samples quantity
Early-warning conditions compare, carrying out Duplicate Samples repeatability limits difference differentiates, normally enter step D, off-specification generates corresponding early warning
Prompt message；
D. will in middle table by repeatability limit difference differentiate close rule corresponding analysis data by default calorific value empirical equation into
Row calculates, and by result of calculation compared with calorific value analysis data, starts laboratory test report if absolute difference is less than default threshold value
Generation module then generates corresponding early warning if greater than default threshold value and notifies analysis data acquisition module；
E. the poor effective analysis data generation electronization for differentiating the conjunction verified with calorific value empirical equation and advising of repeatability limit will be carried out
Verification certificate；
It is characterized in that, the step C is specifically included：
(1) whether the Duplicate Samples number for judging certain test item in middle table is 2, is to enter step (2a), otherwise enters step
(2b)；
(2a) takes two analysis datas of the test item from middle table, according to the average value location of two analysis datas
Between, corresponding repeatability limit difference setting value T is found out, judges whether the difference of two analysis datas is more than setting value T：If more than
Setting value T is then entered step (3a)；It is entered step (3b) if setting value T is less than；
The excessive very few early warning of (2b) generation Duplicate Samples quantity gives analysis data acquisition module, notice analysis data acquisition mould
Block carries out resurveying for the test item analysis data, return to step (1)；
(3a) generation early warning notice analysis data acquisition module gathers the 3rd analysis data of the test item and is put into institute
It states in middle table, enters step (4)；
(3b) judges to close rule when the repeatability limit difference of the first two analysis data differentiates；
(4) three analysis datas of the test item are taken from middle table, judge whether the very poor of three analysis datas is more than
1.2T：It is then entered step (5a) if more than 1.2T；It is entered step (5b) if 1.2T is less than；
(5a) generation early warning notice analysis data acquisition module gathers the 4th analysis data of the test item and is put into institute
It states in middle table, enters step (6)；
(5b) judges to close rule when the repeatability limit difference of first three analysis data differentiates；
(6) four analysis datas of the test item are taken from middle table, the very poor whether big of four calorific value analysis datas judged
In 1.3T：It is then entered step (7a) if more than 1.3T；It is entered step (7b) if 1.2T is less than；
(7a) judges whether optional three data from four analysis datas, and three the very poor of data are less than or equal to 1.2T's
Situation：Early warning notice analysis data acquisition module is generated if being not present to resurvey calorific value analysis data and be put into described
It in middle table, enters step (1)；If being entered step in the presence of if (7b)；
(7b) judges that the repeatability limit difference of current four analysis datas differentiates and closes rule.
4. analysis data compliance automatic monitoring method according to claim 3, which is characterized in that further include：Collectionization
It tests data check module and carries out the differentiation of repeatability limit difference and abnormal data and record in calorific value empirical equation checking procedure, formed
Deviation ratio statistics.
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101625248A (en) * | 2008-07-07 | 2010-01-13 | 上海新策科技有限公司 | Method and device for acquiring measurement data |
| CN202929437U (en) * | 2012-08-03 | 2013-05-08 | 中国神华能源股份有限公司 | Coal test data collection and control system |
| CN103149346A (en) * | 2012-12-25 | 2013-06-12 | 中国神华能源股份有限公司 | Detection and analysis system of tunnel concrete and detection and analysis method thereof |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| BR0207416A (en) * | 2001-02-20 | 2004-12-28 | Computer Ass Think Inc | Method and system for monitoring service provider performance |
| US20040128169A1 (en) * | 2002-10-18 | 2004-07-01 | Lusen William D. | Multiple organization data access monitoring and management system |
-
2014
- 2014-12-31 CN CN201410855984.1A patent/CN104794148B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101625248A (en) * | 2008-07-07 | 2010-01-13 | 上海新策科技有限公司 | Method and device for acquiring measurement data |
| CN202929437U (en) * | 2012-08-03 | 2013-05-08 | 中国神华能源股份有限公司 | Coal test data collection and control system |
| CN103149346A (en) * | 2012-12-25 | 2013-06-12 | 中国神华能源股份有限公司 | Detection and analysis system of tunnel concrete and detection and analysis method thereof |
Non-Patent Citations (1)
| Title |
|---|
| 灰分测定精密度检查方法对比研究;曹江等;《露天采矿技术》;20101231(第2期);第41-42页 * |
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