CN100582312C - Method for remotely monitoring temperature of aluminum electrolysis cell shell by using computer - Google Patents
Method for remotely monitoring temperature of aluminum electrolysis cell shell by using computer Download PDFInfo
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- CN100582312C CN100582312C CN200610161853A CN200610161853A CN100582312C CN 100582312 C CN100582312 C CN 100582312C CN 200610161853 A CN200610161853 A CN 200610161853A CN 200610161853 A CN200610161853 A CN 200610161853A CN 100582312 C CN100582312 C CN 100582312C
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- 238000000034 method Methods 0.000 title claims abstract description 36
- 229910052782 aluminium Inorganic materials 0.000 title claims abstract description 20
- XAGFODPZIPBFFR-UHFFFAOYSA-N aluminium Chemical compound [Al] XAGFODPZIPBFFR-UHFFFAOYSA-N 0.000 title abstract description 9
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- AZDRQVAHHNSJOQ-UHFFFAOYSA-N alumane Chemical compound [AlH3] AZDRQVAHHNSJOQ-UHFFFAOYSA-N 0.000 claims description 12
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- 229910000831 Steel Inorganic materials 0.000 description 16
- 239000010959 steel Substances 0.000 description 16
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- TWNQGVIAIRXVLR-UHFFFAOYSA-N oxo(oxoalumanyloxy)alumane Chemical compound O=[Al]O[Al]=O TWNQGVIAIRXVLR-UHFFFAOYSA-N 0.000 description 1
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Abstract
A method for remotely monitoring the temperature of an aluminum electrolytic cell shell by using a computer relates to a method for monitoring the temperature of the aluminum electrolytic cell shell, which is realized by a temperature measuring device (1), a user side computer (2) connecting the temperature measuring device with a network, a monitoring side computer (3) connected with the network, a web server (4) and a data storage server (5), wherein the monitoring method comprises the following steps: the temperature measuring device measures the temperature of each preset measuring point of the electrolytic cell; the user computer reads the data in the temperature measuring device and stores the data in a database of the data storage server; the monitoring end computer accesses a database in the data storage server through the Internet and the web server by using a browser; if the measured temperature data is higher than the critical temperature data, storing the temperature data of the point and the information of the measuring time, the number of the measuring point and the number of the measuring groove in a temporary table; if not, judging whether all records in the database are searched; and the web server returns the data in the temporary table of the database to the monitoring end computer and displays the temperature alarm record information on the browser.
Description
Technical field
The present invention relates to a kind of monitoring aluminum cell casing method of temperature.
Background technology
In metal primary aluminum production process, electrolyzer is to carry out electrolysis, aluminum oxide is reduced to the production unit of pure metallic aluminum, and its operational situation is directly connected to every productive capacity such as output, current efficiency and the energy consumption of metal.Electrolysis is to carry out in 930-970 ℃ high-temperature fusion sodium aluminum fluoride ionogen.Temperature is too high, and " secondary reaction " of reducing metal strengthened, and current efficiency reduces; The fusing of electrolyzer ledge, the direct erosion of refractory of ionogen causes the corrosion to the pot shell steel plate of ionogen and/or aluminium water, so that electrolyzer generation early damage, causes serious financial loss.Generally speaking, because negative electrode aluminium liquid is in bottom of electrolytic tank strenuous exercise, wash away cathode carbon pieces strongly, there are the electrolyzer of hidden danger in second-rate or brickwork process, roasting and starting process for cathode carbon pieces, tend to cause erosion hole even local damage, perhaps because taken place by the effect of thermal stresses in production process at the bottom of the electrolytic bath damaged, aluminium seepage fusing cathode steel bar even bottom land steel plate, as untimely discovery maintenance, can cause the generation of major accidents such as bakie, be forced to stop groove overhaul.In addition, when electrolysis temperature is low excessively, then can cause electrolyzer to be stretched one's legs seriously, the distortion of groove thorax also influences the normal operation of electrolytic process.The generation of above-mentioned phenomenon all can cause sidepiece louvre, cathode steel bar or the bottom land surface of steel plate temperature of electrolyzer to raise fast or reduction.
The mode of current electrolysis groove pot shell surface temperature monitoring is: the staff regularly carries out fixed test with common hand-held infrared temperature-measuring gun, measuring result is recorded in the record, directly transcribe or be input to after measure finishing and be printed as form in the computer again and report the person in charge to monitor, perhaps utilize Excel that data are analyzed.At present the method operation link is many, the reading of occurrence temperature data, record and input error easily, and monitoring method is not directly perceived, can not in time find the hidden danger that electrolyzer may exist.
Summary of the invention
For the mode that solves current electrolysis groove pot shell surface temperature monitoring, make mistakes and the problem of the hidden danger that can not in time find to exist easily.The invention provides a kind of computer remote monitoring aluminum cell casing method of temperature of utilizing, it can monitor electrolyzer pot shell surface temperature fast, accurately, intuitively, the surface temperature of sidepiece steel plate, cathode steel bar and bottom steel plate by the monitoring electrolyzer, can in time find the abnormal running situation of electrolyzer, handle accordingly immediately and safeguard, avoid the groove condition further to worsen even stop great industrial accident such as groove, guarantee that production process normally carries out.
The present invention is by temperature measuring equipment 1, user end computer 2, the monitoring side computer 3 that is connected with network, web server 4 and be arranged on user end computer 2 and web server 4 between data storage server 5 realize, described temperature measuring equipment 1 is provided with object is carried out thermometric detector 11, signal amplifies chip 12, modulus conversion chip 13, embedded microprocessor 14, clock chip 15, storer 16 and the communication interface chip 10 that is connected with computer 2, the output terminal of detector 11 connects the input terminus that signal amplifies chip 12, signal amplifies the input terminus of the output terminal connection modulus conversion chip 13 of chip 12, and the output terminal of modulus conversion chip 13 is connected with the input terminus of embedded microprocessor 14; The clocksignal transmission ends of described clock chip 15 is connected with the clocksignal transmission ends of embedded microprocessor 14; The data transmission terminal of storer 16 is connected with the data transmission terminal of embedded microprocessor 14; The signal transmission ends of described communication interface chip 10 is connected with the communication signals transmission ends of embedded microprocessor 14; Another signal transmission ends of the communication interface chip 10 of described temperature measuring equipment 1 is connected with the serial ports of user end computer 2; Be provided with storage-temp data, Measuring Time, measurement point numbering and measuring reservoir database of information in the data storage server 5;
Described monitoring method may further comprise the steps successively:
A. temperature measuring equipment 1 is measured the temperature that respectively preestablishes measurement point of electrolyzer, then temperature data is kept in the storer 16 of temperature measuring equipment 1 with Measuring Time, measurement point numbering and measuring reservoir information;
B. user end computer 2 reads the data in the temperature measuring equipment 1 and is saved in the database of data storage server 5;
C. monitoring side computer 3 utilizes browser by the database in internet and the web server 4 visit data storage servers 5;
D. measurement point temperature alarming process:
D-1. the temperature data of measurement and the critical temperature data of predefined this point are compared; Whether the temperature data of measuring than critical temperature data height,
Be, d-1-1. checks whether this temperature is treated,
Be, carry out the d-2 step,
Not, temperature data that d-1-2. will put and Measuring Time, measurement point numbering and measuring reservoir information are saved in the temporary table of database, carry out the d-2 step;
, do not carry out the d-2 step;
D-2. judge whether to have retrieved all records in the database;
Be to carry out the e step;
, do not carry out the d-1 step;
E.web server 4 turns back to monitoring side computer 3 and displays temperature alarm logging information on browser with the data in the temporary table.
The computer remote monitoring aluminum cell casing method of temperature of utilizing of the present invention, to measure information such as temperature by temperature measuring equipment 1, be sent in the database of data storage server 5, remote monitoring end computer 3 is by the surface temperature of sidepiece steel plate, cathode steel bar and the bottom steel plate of monitoring electrolyzer, can in time find the abnormal running situation of electrolyzer, handle accordingly immediately and safeguard, avoid the groove condition further to worsen even stop great industrial accident such as groove, guarantee that production process normally carries out.
Description of drawings
Fig. 1 is the workflow diagram of existing shell temperature monitoring method; Fig. 2 is the annexation figure between each device of the present invention; Fig. 3 is the annexation block diagram of each parts in the temperature measuring equipment 1, Fig. 4 is the workflow diagram of monitoring method of the present invention, the workflow diagram of Fig. 5 embodiment one described measurement surface temperature monitoring step f, Fig. 6 is the workflow diagram of embodiment one described measurement point temperature monitoring step g, Fig. 7 is the workflow diagram of the shell temperature monitoring method of embodiment two propositions, Fig. 8 is the temperature alarming workflow diagram described in the embodiment two, Fig. 9 is the temperature distribution analytical work schema described in the embodiment two, Figure 10 is the measurement point temperature variation analytical work schema described in the embodiment two, and Figure 11 is the page layout figure that the shell temperature described in the embodiment two is analyzed page or leaf H.
Embodiment
Embodiment one: as shown in Figure 2, this embodiment a kind of utilizes computer remote monitoring aluminum cell casing method of temperature, be by temperature measuring equipment 1, user end computer 2, the monitoring side computer 3 that is connected with network, web server 4 and be arranged on user end computer 2 and web server 4 between data storage server 5 realize; As shown in Figure 3, described temperature measuring equipment 1 is provided with object is carried out thermometric detector 11, signal amplification chip 12, modulus conversion chip 13, embedded microprocessor 14, clock chip 15, storer 16 and the communication interface chip 10 that is connected with user end computer 2, the output terminal of detector 11 connects the input terminus that signal amplifies chip 12, signal amplifies the input terminus of the output terminal connection modulus conversion chip 13 of chip 12, and the output terminal of modulus conversion chip 13 is connected with the input terminus of embedded microprocessor 14; The clocksignal transmission ends of described clock chip 15 is connected with the clocksignal transmission ends of embedded microprocessor 14; The data transmission terminal of storer 16 is connected with the data transmission terminal of embedded microprocessor 14; The signal transmission ends of described communication interface chip 10 is connected with the communication signals transmission ends of embedded microprocessor 14; Another signal transmission ends of the communication interface chip 10 of described temperature measuring equipment 1 is connected with the serial ports of user end computer 2; Web server 4 provides the Web service of visit data; Be provided with storage-temp data, Measuring Time, measurement point numbering and measuring reservoir database of information in the data storage server 5;
As described in Figure 4, described monitoring method may further comprise the steps successively:
A. temperature measuring equipment 1 is measured the temperature that respectively preestablishes measurement point of electrolyzer, then temperature data is kept in the storer 16 of temperature measuring equipment 1 with Measuring Time, measurement point numbering and measuring reservoir information;
B. user end computer 2 reads the data in the temperature measuring equipment 1 and is saved in the database of data storage server 5;
C. monitoring side computer 3 utilizes browser by the database in internet and the web server 4 visit data storage servers 5;
D. measurement point temperature alarming process:
D-1. the temperature data of measurement and the critical temperature data of predefined this point are compared; Whether the temperature data of measuring than critical temperature data height,
Be, d-1-1. checks whether this temperature is treated,
Be, continue,
, temperature data that d-1-2. will put and Measuring Time, measurement point numbering and measuring reservoir information are not saved in the temporary table of database;
, do not continue;
D-2. judge whether to have retrieved all records in the database;
Be to continue;
, do not carry out the d-1 step;
E.web server 4 returns the data in the temporary table to monitoring side computer 3 and displays temperature alarm logging information on browser.
As shown in Figure 5, the described further scheme of computer remote monitoring aluminum cell casing method of temperature of utilizing of present embodiment comprises measurement surface temperature distribution monitoring step f, is undertaken by following step:
F-1.web server 4 is with the data in the database: temperature data, measurement point numbering, the critical temperature data of corresponding each measurement point and the location information under the measurement point, be kept at current page with the merging of XML data stream format, and this page or leaf is turned back to browser;
F-2. browser is carried out the client script on the page;
F-3. browser reads the data query of downloading with the XML data stream format in this page and is saved in the ADO recordset object of monitoring side;
F-4. with the data assignment in the record set to the PivotTable control object that embeds on the webpage;
F-5. calculate the field that gathers of medial temperature for one of PivotTable Object Creation;
F-6. with PivotTable object assignment to the Chart control object on the webpage;
F-7. gather field as number line with what measurement point was numbered classification axle, accounting temperature mean value, be that the sequence axle is created graphic representation with the location information on the Chart control, thereby provide the distribution situation of temperature data on different measuring point.
As shown in Figure 6, the described computer remote monitoring aluminum cell casing method of temperature of utilizing of present embodiment, further technical scheme also comprises measurement point temperature monitoring step g, is undertaken by following step:
G-1.web server 4 is with database data: the temperature of measurement point and Measuring Time merge with the XML data stream format and to be kept at current page, and this page turned back to the browser of monitoring side computer 3;
G-2. browser is carried out the client script on the page;
G-3. browser reads the data query of downloading with the XML data stream format in this page and is saved in the ADO recordset object of monitoring side;
G-4. with the data assignment in the record set to the PivotTable control object that embeds on the webpage;
G-5. calculate the field that gathers of medial temperature for one of PivotTable Object Creation;
G-6. monthly with different levels time word paragraph format is set is " during yyyy/q season/mmm month/dd day/hh/the mm branch ";
G-7. with PivotTable object assignment to the Chart control object on the webpage;
G-8. set the classification axle and be field of stratified time monthly, number line is that medial temperature gathers field, creates measuring point temperature curve over time.
The described monitoring method of present embodiment, avoided reading of the existing how existing easy occurrence temperature data of method operation link effectively, the problem of record and input error takes place, monitoring method is directly perceived, monitor the information that temperature surpasses critical temperature of measuring by the temperature alarming page, by of the comparison of the remarkable higher point of temperature on temperature distribution history with contiguous measurement point temperature, can be further by observed temperature variations on the historical temperature variation curve of chosen point, judge some position may exist on the electrolyzer damaged hidden danger and severity with comparalive ease, in time take measures areput then, thereby reduce even eliminate the problem of electrolyzer early damage effectively, prolong electrolyzer work-ing life.
Embodiment two: as shown in Figure 7, the data monitoring in the described monitoring method of present embodiment comprises measures the surface temperature monitoring, carries out as follows:
1, utilizes temperature measuring equipment 1 to measure the temperature that each side of electrolyzer preestablishes measurement point, then temperature data is kept in the storer 16 of temperature measuring equipment 1 with Measuring Time (being accurate to branch), measurement point numbering and measuring reservoir information;
2, user end computer 2 reads the data in the temperature-measuring gun and is saved in the database;
3, the monitoring side user is by browser access and analytical data database data, and concrete steps are:
3-1, monitor user ' open any browser are imported web site name or input operation parameter on the page in address field;
3-2, browser send the corresponding dynamic web page of request to web server 4, and web server 4 is searched the web page files of browser needs according to the request of browser;
3-3, web server 4 are explained the server side scripts of carrying out in the webpage;
3-4, web server 4 carry out query manipulation according to the database in the script command visit data storage server 5;
3-5, database turn back to web server 4 with data query;
3-6, web server 4 carry out computing with the data that inquiry is returned;
3-7, web server 4 merge into the part of web page files with calculation result, and webpage is turned back to the monitoring side browser;
The client script order that 3-8, browser are carried out in the webpage is carried out computing to the data in the webpage;
The data results that 3-9, browser calculate the monitoring side is presented on the page.
Data analysing method comprises measurement point temperature alarming 4, measurement surface temperature distributional analysis 5, measurement point temperature variation analysis 6.
As shown in Figure 8, measurement point temperature alarming 4 processes are:
4-1, in the browser address input temp warning page file name, request is sent to web server 4;
4-2, web server 4 are carried out page server end scripted code, the database in the visit data storage server 5;
4-3, data base management system (DBMS) are called temperature data in the storage process Query Database;
4-4, the temperature data measured and the critical temperature data of predefined this point are compared;
If whether the 4-5 take off data, reexamines this temperature than critical temperature data height treated;
If 4-6 is untreated, then the temperature data that will put and Measuring Time, measurement point numbering and measuring reservoir information are saved in the database temporary table;
4-7, judge whether to have retrieved all records, if not then turn back to step 4-4 and the 4-7 step cycle is checked next bar record;
If 4-8 checks out all records, data in the temporary table are turned back to web server 4 as the Query Result data, send to browser as the part of webpage;
4-9, on the browser of monitoring side displays temperature alarm logging information.
As shown in Figure 9, measuring surface temperature distributional analysis 5 comprises the steps:
5-1, open the analysis condition page in browser, time durations that the time opening of input inquiry and concluding time constitute on the page and groove number are to web server 4 request pot shell temperature analysis pages or leaves;
5-2, web server 4 are searched shell temperature analysis page or leaf and are carried out server side scripts;
5-3, web server 4 return pot shell temperature analysis page or leaf H, as shown in figure 11, provide on this page and selected A side, B side, flue end, aluminium inlet and 5 one group of radio buttons measuring face of bottom land, it is the A side-view that the acquiescence selection is set, and the page has comprised 3 inner frames simultaneously;
5-4, shell temperature analysis page or leaf to 4 requests of web server be presented at the 1st among the framework I measurement face view page or leaf and pass to the parameter that acquiescence is chosen as the A face;
5-5, this page show the A side measurement face synoptic diagram of electrolyzer, show the focus hyperlink that is provided with corresponding louvre measurement point and cathode steel bar measurement point simultaneously in the face of measurement synoptic diagram, are used for step 6 and select certain measurement point to carry out the temperature variation analysis;
5-6, shell temperature analysis page or leaf to 4 requests of web server be presented at the 2nd in the frame J temperature distribution analysis page or leaf and the selection A side of transmitting time durations, groove parameter and the acquiescence transmitted in the 5-1 step measure the face parameter;
5-7, web server 4 carry out in the server side scripts visit data storage server 5 of measuring surface temperature distributional analysis pages or leaves database and by the A side slat spare data query of the time durations that transmits, groove number and acquiescence, the data of inquiry comprise: the measurement point numbering, the temperature data of measuring, and the critical temperature data of corresponding each measurement point, the location information under the measurement point;
5-8, database turn back to web server 4 with the Query Result data;
5-9, web server 4 are kept at current page with database data with the merging of XML data stream format;
5-10, web server 4 turn back to browser with this page or leaf, and browser is carried out the client script on the page;
5-11, browser read the data query of downloading with the XML data stream format in this page and are saved in the ADO recordset object of client terminal;
5-12, with the data assignment in the record set to the PivotTable control object that embeds on the webpage;
5-13, calculate the field that gathers of medial temperature for one of PivotTable Object Creation;
5-14, with PivotTable object assignment to the Chart control object on the webpage;
5-15, gather field as number line, be that the sequence axle is created graphic representation with the location information on the Chart control, thereby provide the distribution situation of temperature data on different measuring point with what measurement point was numbered classification axle, accounting temperature mean value.Analyze other measurements when needs and look like B side measurement face, flue end measurement face or bottom land steel plate, then click the corresponding button in the radio button group on the pot shell temperature analysis page, then the performing step order according to step 5-6 to 5-15 shows the view of corresponding measurement face and the temperature distributing curve diagram on this face in the 1st framework I and the 2nd frame J.
As shown in figure 10, measurement point temperature variation analysis 6 comprises the steps:
The focus hyperlink of corresponding measurement point on certain measurement face among 6-1, the click 5-5;
6-2, be presented at the measurement point number parameter that shell temperature is analyzed the measurement point temperature variation analysis page or leaf among the 3rd the framework K of the page and transmitted groove number and select to web server 4 request;
6-3, web server 4 inquire from the database of data storage server 5 according to the step identical with 5-7 to 5-13 and comprise the corresponding data of measuring temperature, Measuring Time and be sent to the browser end assignment to the PivotTable control object on the page, create the calculating medial temperature and gather field;
6-4, monthly with different levels time word paragraph format is set is " during yyyy/q season/mmm month/dd day/hh/mm branch ";
6-5, give the Chart control object with PivotTable data assignment;
6-6, set the classification axle and be field of stratified time monthly, number line is that medial temperature gathers field, and establishment measuring point temperature is curve over time.
The described using computer network monitoring of present embodiment aluminum cell casing method of temperature, can realize that each side temperature distribution to aluminum cell casing, the historical temperature information of each measurement point monitor, the surface temperature of sidepiece steel plate, cathode steel bar and bottom steel plate by the monitoring electrolyzer, can in time find the abnormal running situation of electrolyzer, handle accordingly immediately and safeguard, avoid the groove condition further to worsen even stop great industrial accident such as groove, guarantee that production process normally carries out.
Claims (3)
1, a kind of computer remote monitoring aluminum cell casing method of temperature of utilizing, it is by temperature measuring equipment (1), user end computer (2), the monitoring side computer (3) that is connected with network, web server (4) and be arranged on user end computer (2) and web server (4) between data storage server (5) realize, it is characterized in that described temperature measuring equipment (1) is provided with carries out thermometric detector (11) to object, signal amplifies chip (12), modulus conversion chip (13), embedded microprocessor (14), clock chip (15), storer (16) and the communication interface chip (10) that is connected with computer (2), the output terminal of detector (11) connects the input terminus that signal amplifies chip (12), signal amplifies the input terminus of the output terminal connection modulus conversion chip (13) of chip (12), and the output terminal of modulus conversion chip (13) is connected with the input terminus of embedded microprocessor (14); The clocksignal transmission ends of described clock chip (15) is connected with the clocksignal transmission ends of embedded microprocessor (14); The data transmission terminal of storer (16) is connected with the data transmission terminal of embedded microprocessor (14); The signal transmission ends of described communication interface chip (10) is connected with the communication signals transmission ends of embedded microprocessor (14); Another signal transmission ends of the communication interface chip (10) of described temperature measuring equipment (1) is connected with the serial ports of user end computer (2); Be provided with storage-temp data, Measuring Time, measurement point numbering and measuring reservoir database of information in the data storage server (5);
Described monitoring method may further comprise the steps successively:
A. temperature measuring equipment (1) is measured the temperature that respectively preestablishes measurement point of electrolyzer, then temperature data is kept in the storer (16) of temperature measuring equipment (1) with Measuring Time, measurement point numbering and measuring reservoir information;
B. user end computer (2) reads the data in the temperature measuring equipment (1) and is saved in the database of data storage server (5);
C. monitoring side computer (3) utilizes browser by the database in internet and web server (4) the visit data storage server (5);
D. measurement point temperature alarming process:
D-1. the temperature data of measurement and the critical temperature data of predefined this point are compared; Whether the temperature data of measuring than critical temperature data height,
Be, d-1-1. checks whether this temperature is treated,
Be, carry out the d-2 step,
Not, temperature data that d-1-2. will put and Measuring Time, measurement point numbering and measuring reservoir information are saved in the temporary table of database, carry out the d-2 step;
, do not carry out the d-2 step;
D-2. judge whether to have retrieved all records in the database;
Be to carry out the e step;
, do not carry out the d-1 step;
E.web server (4) returns the data in the temporary table to monitoring side computer (3) and displays temperature alarm logging information on browser.
2, a kind of computer remote monitoring aluminum cell casing method of temperature of utilizing according to claim 1 is characterized in that it also comprises measurement surface temperature monitoring step f, is undertaken by following step:
F-1.web server (4) is with the data in the database: temperature data, measurement point numbering, the critical temperature data of corresponding each measurement point and the location information under the measurement point, be kept at current page with the merging of XML data stream format, and this page or leaf is turned back to browser;
F-2. browser is carried out the client script on the page;
F-3. browser reads the data query of downloading with the XML data stream format in this page and is saved in the ADO recordset object of monitoring side;
F-4. with the data assignment in the record set to the PivotTable control object that embeds on the webpage;
F-5. calculate the field that gathers of medial temperature for one of PivotTable Object Creation;
F-6. with PivotTable object assignment to the Chart control object on the webpage;
F-7. gather field as number line with what measurement point was numbered classification axle, accounting temperature mean value, be that the sequence axle is created graphic representation with the location information on the Chart control, thereby provide the distribution situation of temperature data on different measuring point.
3, a kind of computer remote monitoring aluminum cell casing method of temperature of utilizing according to claim 2 is characterized in that also comprising measurement point temperature monitoring step g, is undertaken by following step:
G-1.web server (4) is with database data: the temperature of measurement point and Measuring Time merge with the XML data stream format and to be kept at current page, and this page or leaf turned back to the browser of monitoring side computer (3);
G-2. browser is carried out the client script on the page;
G-3. browser reads the data query of downloading with the XML data stream format in this page and is saved in the ADO recordset object of monitoring side;
G-4. with the data assignment in the record set to the PivotTable control object that embeds on the webpage;
G-5. calculate the field that gathers of medial temperature for one of PivotTable Object Creation;
G-6. monthly with different levels time word paragraph format is set is " during yyyy/q season/mmm month/dd day/hh/the mm branch ";
G-7. with PivotTable object assignment to the Chart control object on the webpage;
G-8. set the classification axle and be field of stratified time monthly, number line is that medial temperature gathers field, creates measuring point temperature curve over time.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN200610161853A CN100582312C (en) | 2006-12-06 | 2006-12-06 | Method for remotely monitoring temperature of aluminum electrolysis cell shell by using computer |
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| CN200610161853A CN100582312C (en) | 2006-12-06 | 2006-12-06 | Method for remotely monitoring temperature of aluminum electrolysis cell shell by using computer |
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| CN100582312C true CN100582312C (en) | 2010-01-20 |
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|---|---|---|---|---|
| CN102231676A (en) * | 2011-06-23 | 2011-11-02 | 中兴通讯股份有限公司 | Network management data collecting method and device |
| CN102500754B (en) * | 2011-11-01 | 2013-10-09 | 沈阳铝镁设计研究院有限公司 | Anode assembly phosphorus pig iron formula and method for monitoring pouring temperature |
| CN102517610A (en) * | 2011-12-26 | 2012-06-27 | 贵阳铝镁设计研究院有限公司 | On-line monitoring system of furnace edge shape of aluminium electrolytic tank |
| CN103173791B (en) * | 2013-02-22 | 2016-03-02 | 重庆大学 | Based on the electrolysis of aluminum bakie detection method of bakie monitoring device |
| CN105177629A (en) * | 2015-11-01 | 2015-12-23 | 重庆工商职业学院 | Aluminum electrolysis leaking tank detection method based on wireless leaking tank monitoring device |
| CN108823607A (en) * | 2018-06-15 | 2018-11-16 | 酒钢集团筑诚工程管理咨询有限责任公司 | A kind of aluminum electrolytic tank continuous temperature measurement method |
| CN112048739B (en) * | 2020-08-31 | 2021-11-02 | 中国铝业股份有限公司 | Safety early warning method and safety early warning system for aluminum electrolysis cell |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1260542A (en) * | 1998-07-17 | 2000-07-19 | 特克特朗尼克公司 | Remote monitoring and controlling based on wanwei network for measuring instrument |
| CN2660800Y (en) * | 2003-11-07 | 2004-12-01 | 中国科学院沈阳自动化研究所 | Embedded network distance input/output system |
| CN1564154A (en) * | 2004-03-16 | 2005-01-12 | 兰州铝业股份有限公司 | Measuring method and device for electrolyte temp of CAN bus network type electrolyzer |
| CN1741477A (en) * | 2004-08-26 | 2006-03-01 | 山东大学威海分校 | Thermodynamic heating supply long-distance monitoring system based on internet |
| CN1755679A (en) * | 2004-09-30 | 2006-04-05 | 微软公司 | Method and implementation for referencing of dynamic data within spreadsheet formulas |
-
2006
- 2006-12-06 CN CN200610161853A patent/CN100582312C/en not_active Expired - Fee Related
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1260542A (en) * | 1998-07-17 | 2000-07-19 | 特克特朗尼克公司 | Remote monitoring and controlling based on wanwei network for measuring instrument |
| CN2660800Y (en) * | 2003-11-07 | 2004-12-01 | 中国科学院沈阳自动化研究所 | Embedded network distance input/output system |
| CN1564154A (en) * | 2004-03-16 | 2005-01-12 | 兰州铝业股份有限公司 | Measuring method and device for electrolyte temp of CAN bus network type electrolyzer |
| CN1741477A (en) * | 2004-08-26 | 2006-03-01 | 山东大学威海分校 | Thermodynamic heating supply long-distance monitoring system based on internet |
| CN1755679A (en) * | 2004-09-30 | 2006-04-05 | 微软公司 | Method and implementation for referencing of dynamic data within spreadsheet formulas |
Non-Patent Citations (4)
| Title |
|---|
| ERP环境下的电解铝生产远程监测系统开发. 王燕等.冶金自动化，第2004年第4期. 2004 |
| ERP环境下的电解铝生产远程监测系统开发. 王燕等.冶金自动化，第2004年第4期. 2004 * |
| 铝电解槽多参数检测系统. 王俊卿.中国优秀硕士学位论文全文数据库，第工程科技I辑期. 2005 |
| 铝电解槽多参数检测系统. 王俊卿.中国优秀硕士学位论文全文数据库，第工程科技I辑期. 2005 * |
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