CN105404251B - The low boiling tower tail gas condensing on-line monitoring of polyvinyl chloride building-up process and alarm method - Google Patents
The low boiling tower tail gas condensing on-line monitoring of polyvinyl chloride building-up process and alarm method Download PDFInfo
- Publication number
- CN105404251B CN105404251B CN201510602436.2A CN201510602436A CN105404251B CN 105404251 B CN105404251 B CN 105404251B CN 201510602436 A CN201510602436 A CN 201510602436A CN 105404251 B CN105404251 B CN 105404251B
- Authority
- CN
- China
- Prior art keywords
- tail gas
- outlet temperature
- alm
- alarm
- change
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 37
- 238000012544 monitoring process Methods 0.000 title claims abstract description 17
- 238000009835 boiling Methods 0.000 title claims abstract description 13
- 239000004800 polyvinyl chloride Substances 0.000 title claims abstract description 10
- 229920000915 polyvinyl chloride Polymers 0.000 title claims abstract description 9
- 238000005259 measurement Methods 0.000 claims description 11
- 238000005070 sampling Methods 0.000 claims description 5
- 238000009833 condensation Methods 0.000 abstract description 5
- 230000005494 condensation Effects 0.000 abstract description 5
- 230000007423 decrease Effects 0.000 abstract description 4
- 239000007789 gas Substances 0.000 description 49
- BZHJMEDXRYGGRV-UHFFFAOYSA-N Vinyl chloride Chemical compound ClC=C BZHJMEDXRYGGRV-UHFFFAOYSA-N 0.000 description 10
- 238000004519 manufacturing process Methods 0.000 description 9
- 238000005457 optimization Methods 0.000 description 8
- HSFWRNGVRCDJHI-UHFFFAOYSA-N alpha-acetylene Natural products C#C HSFWRNGVRCDJHI-UHFFFAOYSA-N 0.000 description 6
- 238000009826 distribution Methods 0.000 description 6
- 125000002534 ethynyl group Chemical group [H]C#C* 0.000 description 6
- 239000002585 base Substances 0.000 description 5
- 238000012545 processing Methods 0.000 description 3
- 238000003786 synthesis reaction Methods 0.000 description 3
- ZAMOUSCENKQFHK-UHFFFAOYSA-N Chlorine atom Chemical compound [Cl] ZAMOUSCENKQFHK-UHFFFAOYSA-N 0.000 description 2
- VGGSQFUCUMXWEO-UHFFFAOYSA-N Ethene Chemical compound C=C VGGSQFUCUMXWEO-UHFFFAOYSA-N 0.000 description 2
- 239000005977 Ethylene Substances 0.000 description 2
- VEXZGXHMUGYJMC-UHFFFAOYSA-N Hydrochloric acid Chemical compound Cl VEXZGXHMUGYJMC-UHFFFAOYSA-N 0.000 description 2
- UFHFLCQGNIYNRP-UHFFFAOYSA-N Hydrogen Chemical compound [H][H] UFHFLCQGNIYNRP-UHFFFAOYSA-N 0.000 description 2
- 230000015572 biosynthetic process Effects 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 239000000460 chlorine Substances 0.000 description 2
- 229910052801 chlorine Inorganic materials 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000000605 extraction Methods 0.000 description 2
- 239000001257 hydrogen Substances 0.000 description 2
- 229910052739 hydrogen Inorganic materials 0.000 description 2
- IXCSERBJSXMMFS-UHFFFAOYSA-N hydrogen chloride Substances Cl.Cl IXCSERBJSXMMFS-UHFFFAOYSA-N 0.000 description 2
- 229910000041 hydrogen chloride Inorganic materials 0.000 description 2
- 239000002994 raw material Substances 0.000 description 2
- 239000012266 salt solution Substances 0.000 description 2
- 241000208340 Araliaceae Species 0.000 description 1
- 239000005997 Calcium carbide Substances 0.000 description 1
- -1 Chloroethene Alkene Chemical class 0.000 description 1
- 238000007476 Maximum Likelihood Methods 0.000 description 1
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 description 1
- 235000003140 Panax quinquefolius Nutrition 0.000 description 1
- 238000007259 addition reaction Methods 0.000 description 1
- 230000032683 aging Effects 0.000 description 1
- 239000003513 alkali Substances 0.000 description 1
- 230000003466 anti-cipated effect Effects 0.000 description 1
- 238000009529 body temperature measurement Methods 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 235000008434 ginseng Nutrition 0.000 description 1
- 239000007788 liquid Substances 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000000178 monomer Substances 0.000 description 1
- 229920001596 poly (chlorostyrenes) Polymers 0.000 description 1
- 238000006116 polymerization reaction Methods 0.000 description 1
- 238000004801 process automation Methods 0.000 description 1
- 238000004886 process control Methods 0.000 description 1
- 239000000376 reactant Substances 0.000 description 1
- 238000011084 recovery Methods 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- CLZWAWBPWVRRGI-UHFFFAOYSA-N tert-butyl 2-[2-[2-[2-[bis[2-[(2-methylpropan-2-yl)oxy]-2-oxoethyl]amino]-5-bromophenoxy]ethoxy]-4-methyl-n-[2-[(2-methylpropan-2-yl)oxy]-2-oxoethyl]anilino]acetate Chemical compound CC1=CC=C(N(CC(=O)OC(C)(C)C)CC(=O)OC(C)(C)C)C(OCCOC=2C(=CC=C(Br)C=2)N(CC(=O)OC(C)(C)C)CC(=O)OC(C)(C)C)=C1 CLZWAWBPWVRRGI-UHFFFAOYSA-N 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/41875—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by quality surveillance of production
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Manufacturing & Machinery (AREA)
- Quality & Reliability (AREA)
- Automation & Control Theory (AREA)
- Business, Economics & Management (AREA)
- Emergency Management (AREA)
- Separation By Low-Temperature Treatments (AREA)
Abstract
The present invention provides the low boiling tower tail gas condensing on-line monitoring of polyvinyl chloride building-up process and alarm method.It is a feature of the present invention that：By using the outlet temperature of tail gas condenser, its trend changed is estimated, and detect the decline of condensation efficiency as early as possible using derivative information.Because if the efficiency of tail gas condenser reduces and starts to occur icing phenomenon, obvious downward trend occurs in the outlet temperature of tail gas.
Description
Technical field
The invention belongs to production of chlor-alkali chemical industry process automation field, more particularly to polyvinyl chloride building-up process low boiling tower
Tail gas condensing on-line monitoring and alarm method.
Background technology
Polyvinyl chloride (PVC) is a kind of important organic synthesis material in chlorine industry, is widely used in industry, agricultural and day
Often in life.Vinyl Chloride Synthesis is one of key link in chlorine industry, and base stock is provided for production PVC.Chloroethene
Alkene synthesis technique is broadly divided into acetylene method and ethylene process.Due to the special energy resource structure in China, acetylene method turns into production vinyl chloride
The main technique of monomer.By the end of the year 2008, Production of PVC ability of the China based on acetylene method has accounted for global polychlorostyrene
More than the 25% of ethylene production capacity.The technology utilization calcium carbide prepares acetylene gas, and hydrogen chloride gas is mixed with acetylene gas,
And VCM is converted into by addition reaction, the raw material as subsequent polymerisation reaction.
In view of the productivity factors in the production process of reality, and for hydrogen of the production safety as one of reactant
It is excessive, the hydrogen not reacted completely, hydrogen chloride and acetylene gas is still mixed with VCM.Therefore, carrying out
Before final polymerisation, rectifying should be carried out to the raw material VCM of polymerisation first, recovery foreign gas with
Improve the purity of VCM.VCM first passes around low boiling tower, after rectifying, the vinyl chloride list of bottom product
Bulk concentration obtains a certain degree of raising, and subsequent bottom product is sent to high boiling tower and further purified.It should be noted
It is that the overhead product of low boiling tower still contains part VCM.Therefore, in order to ensure the efficiency of rectifying, it is necessary to tower top
Product carries out condensation operation, and the charging of low boiling tower is then sent to by backflow.Overhead product is carried out cold by 7 degree of water first
Solidifying, then tail gas continues through tail gas condenser, further VCM is condensed into liquid using minus 35 degree of salt solution.So
And if containing more vapor in tail gas, tail gas condenser can be caused icing phenomenon occur, the final condensation for influenceing tail gas
Efficiency.
In the production process of reality, once finding that tail gas condenser freezes, minus 35 degree of salt solution can be closed, utilizes tail
The heat of gas in itself is to tail gas condenser progress ice.At present, industry spot judges that the method for tail gas condensing efficiency relies primarily on
The exhaust temperature upper limit is set：If exhaust temperature exceedes this threshold value, it can be concluded that tail gas condenser occurs than more serious knot
Ice phenomenon.However, this way and without gratifying ageing, and floated in view of actual temperature measured value is existing
Move, it is also difficult to rational threshold value.Therefore, in the application of reality, it is difficult to detect the drop of tail gas condenser efficiency in time
It is low：When final generation alarm, tail gas condenser has been likely to occur extremely serious icing phenomenon.
For problem above, the purpose of the present invention is to be based on daily real-time service data, becomes for real process and measures
Measure noise and skew, establish on-line monitoring and the alarm method of a kind of tail gas condensing efficiency effective in real time, so as to and
The early decline for finding tail gas condensing efficiency, avoids tail gas condenser from excessively serious icing phenomenon occur.
The content of the invention
The purpose of the present invention：Provide the low boiling tower tail gas condensing on-line monitoring of polyvinyl chloride building-up process and alarm method.This
Invention is characterised by：By using the outlet temperature of tail gas condenser, the trend of its change is estimated, and use up using derivative information
The decline of early detection condensation efficiency.Because if the efficiency of tail gas condenser reduces and starts to occur icing phenomenon, tail gas
Outlet temperature obvious downward trend occurs.
It is a feature of the present invention that methods described is realized according to the following steps successively in host computer：
Step 1. initializes alarm configuration data.Configuration is in the accumulative warning quantity of initial time：RLalm(0)=0.
Step 2. utilize OPC real-time data bases, obtain current sample time tail gas condenser outlet temperature T (i) and
The tail gas condenser outlet temperature historical measurement data of continuous N number of sampling instant before, structure monitor window T (k), k=i-N,
i-N+1,…i}。
Step 3. estimates the rate of change D (i) of current time outlet temperature in real time as follows：
D=[D (i-N+1) D (i-N+2) ... D (i)]T
Step 4. updates the variation tendency T of exhaust temperature as followsr(i)：
Step 5. produces the caution signal Alm (i) at current time according to following logic:
Step 6. is according to following logic, renewal current time accumulative warning amount R Lalm(i)：
Step 7. on-line early warning.If accumulative warning amount R Lalm(i) it is more than n, then is prompted for associated field operating personnel
The alarm signal that tail gas condenser efficiency declines.
Brief description of the drawings
Fig. 1 is on-line monitoring and the alarm method flow chart of the embodiment of the present invention.
A kind of mode that Fig. 2 is the on-line monitoring of the embodiment of the present invention and alarm method is realized in host computer.
Embodiment
With reference to the accompanying drawings and examples, the embodiment of the present invention is described in further detail.Implement below
Example is used to illustrate the present invention, but is not limited to the scope of the present invention.
The technical scheme of the embodiment of the present invention provides a kind of polyvinyl chloride building-up process low boiling tower tail gas condensing on-line monitoring
And alarm method, it the described method comprises the following steps：It is offline from DCS (Distributed Control System) control system
Data acquisition and processing (DAP)；It is offline to determine associated monitoring parameter；Utilize OPC (OLE for Process Control), online acquisition
Tail gas condenser outlet temperature, and the rate of change of estimated exhaust gas condensator outlet temperature in real time；Temperature is exported to tail gas condenser
On-line monitoring is spent, detects the reduction of tail gas condenser efficiency in advance.
In the production process of reality, the measured value of tail gas condenser outlet temperature has measurement noise.Also, due to reality
The precision limitation of border digital-to-analogue conversion, the precision of the measured value of temperature only to be held in one decimal place.Thus, exhaust temperature
Variation tendency is submerged in measurement noise, and its rate of change is also difficult by difference (the temperature survey of offgas outlet temperature
The difference of the two neighboring sampling instant of value) estimate exactly.
For current time i and last moment i-1 offgas outlet condensation temperature (T (i), T (i-1)), preferable
In the case of, namely in the absence of in the case of the skew of measurement noise or measurement, the offgas outlet temperature change at current time is fast
Rate D (i) can be calculated using the difference of adjacent moment：
D (i)=T (i)-T (i-1),
However, practical problem is, in the case where measurement noise be present, the change speed of above formula estimated exhaust gas temperature is utilized
There is very big error in rate, and D (i) calculated value is also difficult to the reasonable early warning reference as low boiling tower tail gas condensing efficiency.
For the time series with certain Long-term change trend, the measured value at its neighbouring sample moment can't have significantly
Difference.In other words, T (i)-T (i-1) numerical value should be unable to be excessive.Consideration based on more than, offgas outlet temperature change speed
Rate D (i) can be estimated using following optimization problem：
Wherein, N is the size of monitor window, and λ is the penalty factor of exhaust temperature rate of change.Above-mentioned optimization problem it is final
Target is from by the essential change trend of extraction data in the observation data T (i) of noise pollution
Above-mentioned optimization problem can be solved using the method for least square：
D=[D (1) D (2) ... D (N)]T
It should be noted that it is known quantity that gas rate temperature change penalty factor λ is given tacit consent in above-mentioned optimization problem.For
Optimal λ value, Bayes principle can be utilized, is estimated from historical operating data.The measured value of temperature can according to
Under type represents：
Wherein, e (i) is measurement noise.Above formula is extended into vectorial situation, it is clear that have：
E=[e (1) e (2) ... e (N)]T
D=[D (1) D (2) ... D (N)]T
In fact, involved optimization problem is estimated in view of exhaust temperature rate of changeIts essence is：{ if D (i) } and { e (i) } is to obey
The independent identically distributed time series of normal distribution, and { D (i) } and { e (i) } is independent mutually, then and this optimization problem is anticipated in probability
The maximum likelihood function of maximization observation data is actually equivalent in justice.If
Then observe data { T (i)-T (0) } and also obey following normal distribution：
Also, under Bayesian frame, the relevant parameter of normal distributionNumber can be observed by maximizing
According to probability, namely be determined by following optimization problem：
It is determined that after the relevant parameter of normal distribution, exhaust temperature rate of change penalty factor λ is determined according to the following formula：
For low boiling tower tail gas condensing efficiency monitoring and the on-line implement of early warning, this method by the method for sliding window,
The rate of change D (i) of monitoring tail gas condenser outlet temperature in real time：If rate of change D (i) exceedes certain threshold value h, can
To detect the decline of tail gas condenser efficiency in advance.Because method assumes that exhaust temperature rate of change is obeyed in normal conditions
Average is 0 normal distribution, then monitoring threshold value can be determined according to 3-sigma principles：
H=3 σ2
In order to further reduce rate of false alarm, this method employs RL (run length) method processing alarm signal, and it has
Body mode of operation is as follows：The exhaust temperature rate of change at only continuous n moment is more than threshold value h, just can be to associated field operator
Member sends pre-warning signal.
The overall implementation calculation flow chart of the present invention is shown in accompanying drawing 1, mainly comprises the steps of：
Step A：Offline determination associated monitoring parameter, idiographic flow are as follows.
Step A1：Using DCS system, gather the history from tail gas condenser outlet temperature from historical data base and measure number
According to.
Step A2：From historical measurement data, extraction is surveyed with the outlet temperature that tail gas condenser is run in normal conditions
Value:{Tb(i), i=i0,i0+1,…i0+Nb}。
Step A3：Estimated exhaust gas outlet temperature measurement noise and tail gas condenser rate of change normal distribution probability model ginseng
NumberAbove parameter can be determined by following optimization problem：
Step A4：Determine exhaust temperature rate of change penalty factor λ：
Step A5：Determine exhaust temperature rate of change alarm threshold value h：
H=3 σ2
Step B on-line monitorings and early warning, idiographic flow are as follows：
Step B1：Initialize alarm configuration data.Configuration is in the accumulative warning quantity of initial time：RLalm(0)=0.
Step B2：Using OPC real-time data bases, obtain current sample time tail gas condenser outlet temperature T (i) and
The tail gas condenser outlet temperature historical measurement data of continuous N number of sampling instant before, structure monitor window T (k), k=i-N,
i-N+1,…i}。
Step B3：Estimate the rate of change D (i) of current time outlet temperature in real time as follows：
D=[D (i-N+1) D (i-N+2) ... D (i)]T
Step B4：The variation tendency T of exhaust temperature is updated as followsr(i)：
Step B5：According to following logic, the caution signal Alm (i) at current time is produced:
Step B6：According to following logic, renewal current time accumulative warning amount R Lalm(i)：
Step B7：On-line early warning.If accumulative warning amount R Lalm(i) it is more than n, then is prompted for associated field operating personnel
The alarm signal that tail gas condenser efficiency declines.
Embodiment of above is merely to illustrate the present invention, and not limitation of the present invention, about the common of technical field
Technical staff, without departing from the spirit and scope of the present invention, it can also make a variety of changes and modification, thus it is all
Equivalent technical scheme falls within scope of the invention, and scope of patent protection of the invention should be defined by the claims.The present invention
There is good adaptability to the random noise and static deviation of actual industrial field process variable measurements.Also, for not
Same tail gas condenser device, the present invention can configure alarm threshold value according to unified mode, and scene is reduced so as to ground
Implementation cost.Data acquisition and processing (DAP) and calculating in the present invention can realize in Distributed Control System (DCS), can also
Realized by host computer.The calculation procedure of alarm signal can be by real-time data base, or correlation is obtained by way of OPC
The real-time sampling of process data, the variation tendency of offgas outlet temperature can be shown or be sent into host computer after the completion of calculating
Shown after DCS.
Claims (1)
1. the low boiling tower tail gas condensing on-line monitoring of polyvinyl chloride building-up process and alarm method, it is characterised in that methods described is
Realize according to the following steps successively：
Step 1. initializes alarm configuration data；Configuration is in the accumulative warning quantity of initial time：RLalm(0)=0；
Step 2. utilizes OPC real-time data bases, obtains the tail gas condenser outlet temperature T (i) and before of current sample time
The tail gas condenser outlet temperature historical measurement data of continuous N number of sampling instant, structure monitor window { T (k), k=i-N, i-N+
1,…i}；
Step 3. estimates the rate of change D (i) of current time outlet temperature in real time as follows：
λ is the penalty factor of exhaust temperature rate of change；
Step 4. updates the variation tendency T of exhaust temperature as followsr(i)：
Step 5. produces the caution signal " Alm (i) " at current time according to following logic
H is exhaust temperature rate of change alarm threshold value；
Step 6. is according to following logic, renewal current time accumulative warning amount R Lalm(i)：
Step 7. on-line early warning；If accumulative warning amount R Lalm(i) it is more than n, then prompts tail gas for associated field operating personnel
The alarm signal that condenser efficiency declines, n are the accumulative warning quantity of setting.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510602436.2A CN105404251B (en) | 2015-09-21 | 2015-09-21 | The low boiling tower tail gas condensing on-line monitoring of polyvinyl chloride building-up process and alarm method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510602436.2A CN105404251B (en) | 2015-09-21 | 2015-09-21 | The low boiling tower tail gas condensing on-line monitoring of polyvinyl chloride building-up process and alarm method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN105404251A CN105404251A (en) | 2016-03-16 |
| CN105404251B true CN105404251B (en) | 2018-04-10 |
Family
ID=55469795
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510602436.2A Active CN105404251B (en) | 2015-09-21 | 2015-09-21 | The low boiling tower tail gas condensing on-line monitoring of polyvinyl chloride building-up process and alarm method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105404251B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113470331B (en) * | 2021-07-08 | 2023-05-02 | 哲弗智能***（上海）有限公司 | Differential temperature detection method and device of temperature sensing detector, temperature sensing detector and medium |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5854518A (en) * | 1998-02-23 | 1998-12-29 | Revis; Billy Wayne | Inline condensation alarm system for a central air conditioning unit |
| CN101887262A (en) * | 2010-06-30 | 2010-11-17 | 浙江大学 | Predictive control system of nonlinear model of internal thermal coupled rectifying tower and method thereof |
| CN101907877A (en) * | 2009-06-03 | 2010-12-08 | 刘廷洲 | Optimized control method of PVC (Polyvinyl Chloride) production process |
| CN102585059A (en) * | 2012-02-07 | 2012-07-18 | 沈阳华控科技发展有限公司 | Process control system for mass production of polrvinyl chloride |
| CN203070482U (en) * | 2012-12-16 | 2013-07-17 | 新疆豪普塑胶有限公司 | Integrated alarm device for PCV profiled bar production exceptional situation |
| CN204165429U (en) * | 2014-10-14 | 2015-02-18 | 中节能大地环境修复有限公司 | A kind of device of heat of cooling desorption tail gas |
-
2015
- 2015-09-21 CN CN201510602436.2A patent/CN105404251B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5854518A (en) * | 1998-02-23 | 1998-12-29 | Revis; Billy Wayne | Inline condensation alarm system for a central air conditioning unit |
| CN101907877A (en) * | 2009-06-03 | 2010-12-08 | 刘廷洲 | Optimized control method of PVC (Polyvinyl Chloride) production process |
| CN101887262A (en) * | 2010-06-30 | 2010-11-17 | 浙江大学 | Predictive control system of nonlinear model of internal thermal coupled rectifying tower and method thereof |
| CN102585059A (en) * | 2012-02-07 | 2012-07-18 | 沈阳华控科技发展有限公司 | Process control system for mass production of polrvinyl chloride |
| CN203070482U (en) * | 2012-12-16 | 2013-07-17 | 新疆豪普塑胶有限公司 | Integrated alarm device for PCV profiled bar production exceptional situation |
| CN204165429U (en) * | 2014-10-14 | 2015-02-18 | 中节能大地环境修复有限公司 | A kind of device of heat of cooling desorption tail gas |
Non-Patent Citations (1)
| Title |
|---|
| PLC在PVC生产监控***中的应用;张旻 等;《自动化仪表》;20100228;第31卷(第2期);第58-61页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN105404251A (en) | 2016-03-16 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107977749B (en) | Prediction analysis method for oil field development index | |
| CN106681183B (en) | Monitor the method, apparatus, system and computer-readable storage medium of manufacturing device | |
| CN107294213B (en) | Intelligent monitoring system for power grid equipment | |
| CN103913282B (en) | Leakage detection method for closed circulating water system of calcium carbide furnace | |
| CN110362608B (en) | Rain flow counting method and local anomaly factor-based energy consumption anomaly detection method | |
| CN104807644A (en) | Fault early warning method and system for wind generation set variable-pitch system | |
| CN108038044A (en) | A kind of method for detecting abnormality towards continuous monitored target | |
| CN103425099A (en) | Embedded carbon emission monitoring and detecting system implemented in vulcanization procedures | |
| CN105242155A (en) | Transformer fault diagnosis method based on entropy weight method and grey correlation analysis | |
| CN106155026B (en) | A kind of cement plant coal consumption and carbon emission monitoring method | |
| CN105114348A (en) | Device and method for induced draft fan fault early warning based on power station operation data | |
| CN110121053A (en) | A kind of video monitoring method of situ of drilling well risk stratification early warning | |
| CN102176274A (en) | Grain condition alarm system, grain condition control system and grain bulk safety state discrimination method | |
| CN109145972B (en) | Design method of frequency converter alarm of ship electric propulsion system | |
| CN102925602B (en) | Furnace profile maintenance method for blast furnace operation | |
| CN105404251B (en) | The low boiling tower tail gas condensing on-line monitoring of polyvinyl chloride building-up process and alarm method | |
| CN104965949A (en) | Method for monitoring faults in smelting process of multimode magnesia electrical smelting furnace | |
| CN115047839B (en) | Fault monitoring method and system for industrial process of preparing olefin from methanol | |
| CN104615123B (en) | K-nearest neighbor based sensor fault isolation method | |
| CN116105802A (en) | Underground facility safety monitoring and early warning method based on Internet of things | |
| CN113534727B (en) | Early warning control system of refrigeration equipment for fishing boat based on artificial intelligence platform | |
| CN117411918A (en) | Monitoring alarm method and system based on IOT (Internet of things) | |
| CN102736570B (en) | Gas phase polyethylene device quality index and operational constraint on-line estimation system and method thereof | |
| CN104831317B (en) | Method for judging abnormal anode current of aluminum electrolysis cell | |
| CN110083131A (en) | Technological parameter on-line early warning method and readable storage medium storing program for executing based on amplitude of variation |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |