CN116466658A - Management method, system and computer readable storage medium for intermittent process of coal chemical industry - Google Patents
Management method, system and computer readable storage medium for intermittent process of coal chemical industry Download PDFInfo
- Publication number
- CN116466658A CN116466658A CN202310273645.1A CN202310273645A CN116466658A CN 116466658 A CN116466658 A CN 116466658A CN 202310273645 A CN202310273645 A CN 202310273645A CN 116466658 A CN116466658 A CN 116466658A
- Authority
- CN
- China
- Prior art keywords
- intermittent
- reactant
- parameter
- sensor
- carbonization chamber
- 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.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 69
- 230000008569 process Effects 0.000 title claims abstract description 49
- 239000003245 coal Substances 0.000 title claims abstract description 29
- 239000000126 substance Substances 0.000 title claims abstract description 23
- 238000003860 storage Methods 0.000 title claims abstract description 16
- 238000007726 management method Methods 0.000 title claims description 14
- 239000000376 reactant Substances 0.000 claims abstract description 47
- 238000006243 chemical reaction Methods 0.000 claims abstract description 22
- 238000005070 sampling Methods 0.000 claims abstract description 12
- 238000003763 carbonization Methods 0.000 claims description 24
- 239000011159 matrix material Substances 0.000 claims description 24
- 238000010923 batch production Methods 0.000 claims description 21
- 239000000571 coke Substances 0.000 claims description 10
- 238000002156 mixing Methods 0.000 claims description 7
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims description 3
- 229910052760 oxygen Inorganic materials 0.000 claims description 3
- 239000001301 oxygen Substances 0.000 claims description 3
- 239000000779 smoke Substances 0.000 claims description 3
- 230000001960 triggered effect Effects 0.000 claims description 3
- 238000004364 calculation method Methods 0.000 claims description 2
- 238000009826 distribution Methods 0.000 claims description 2
- 238000004519 manufacturing process Methods 0.000 abstract description 15
- 238000005457 optimization Methods 0.000 abstract description 2
- 230000002159 abnormal effect Effects 0.000 abstract 2
- 238000012544 monitoring process Methods 0.000 description 15
- 230000008859 change Effects 0.000 description 8
- 238000004939 coking Methods 0.000 description 6
- 230000006870 function Effects 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 238000013528 artificial neural network Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000012824 chemical production Methods 0.000 description 1
- 238000004590 computer program Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 239000000428 dust Substances 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000011156 evaluation Methods 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
- 230000003287 optical effect Effects 0.000 description 1
- 239000013307 optical fiber Substances 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
- 238000003908 quality control method Methods 0.000 description 1
- 238000012795 verification Methods 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]
- G05B19/41865—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 job scheduling, process planning, material flow
-
- 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
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/32—Operator till task planning
- G05B2219/32252—Scheduling production, machining, job shop
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Landscapes
- Engineering & Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Manufacturing & Machinery (AREA)
- Quality & Reliability (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- Coke Industry (AREA)
Abstract
The invention discloses a method, a system and a computer readable storage medium for managing a coal chemical intermittent process. The method comprises the steps of effectively dividing a coal chemical intermittent process, determining a control threshold value of a first reactant and a second reactant in a production stage, taking parameters obtained by a sensor in reaction equipment at a plurality of sampling points as variables, carrying out iterative optimization to update related parameters, identifying whether the current reaction state in the corresponding reaction stage is normal or not, judging that the intermittent process is normal when statistics of a non-intermittent period and statistics of an intermittent period are smaller than the control threshold value, and judging that the intermittent process is abnormal and an indicator gives an early warning when the statistics of the non-intermittent period and the statistics of the intermittent period are smaller than the control threshold value, otherwise, judging that the intermittent process is abnormal.
Description
Technical Field
The invention relates to the field of coal chemical industry and automatic control, in particular to a method, a system and a computer readable storage medium for managing an intermittent process of coal chemical industry.
Background
In the coal chemical production application process, the intermittent process contained in the multiple reaction steps has the special conditions of multiple steps and multiple modes, in the coal blending coking process, part of intermediate and reactant preparation links are intermittent processes, the variability of different stages of the intermittent processes is strong, if the intermittent processes are not effectively monitored and controlled, the quality of the reactants or the intermediate produced in different batches is not high, and production safety accidents can be caused in serious cases. Because intermittent monitoring has stronger dynamic property, the nonlinear change characteristics lead to difficulty in monitoring production links through a macroscopic monitoring means.
In the prior art, CN113420815a discloses a nonlinear PLS intermittent process monitoring method of semi-supervised RSDAE, by establishing a semi-supervised robust sparse depth self-coding network RSDAE, extracting low-dimensional data features from a high-dimensional, noisy and sparse dataset, and constructing a PLS model to accurately predict hidden danger and practical problems possibly existing in the intermittent process. For another example, CN109828552B discloses an intermittent process fault monitoring and diagnosing method based on a width learning system, and the technical means is to perform accurate detection from two angles of online and offline through a manner of adaptively establishing a neural network monitoring model. The technical scheme can not solve the quality control problem in multiple operation modes and batches, and the problem of inaccurate evaluation of the reaction stage is easily caused by the diversity of the adjustable parameters. Accordingly, there is a need for further improvements in the art.
Disclosure of Invention
Aiming at the problems, the invention provides a management method for a coal chemical intermittent process. The method is applied to an intermittent process of mixed coking of a first reactant and a second reactant, and is used for determining a control threshold value of the first reactant and the second reactant in a production stage by effectively dividing the intermittent process of coal chemical industry, and identifying whether the current reaction state in the corresponding reaction stage is normal or not through iterative optimization updating of related parameters. Further, the invention also provides a system and a computer readable storage medium for realizing the intermittent process management method of the coal chemical industry.
The invention aims at realizing the following technical means:
a management method of a coal chemical intermittent process comprises the following steps:
step 1: the first reactant is added into a carbonization chamber, and the batch process T of the reaction is carried out 1 Comprises K 1 Sub-process, in batch process T 1 Setting m first check points;
step 2: the control unit sets a start factor lambda=1, sets a start time k=1, and records a first transmission in a plurality of sampling periodsFirst parameter f of sensor 1 Calculating a first threshold value beta after the sampling period is ended 1 ;
Step 3: adding a second reactant into the carbonization chamber, and reacting in a batch process T 2 Comprises K 2 In a batch process T 2 Setting n second check points;
step 4: the control unit records a second parameter f acquired by a second sensor in a second check point in the carbonization chamber 2 Calculating a second threshold beta after the sampling period is ended 2 ;
Step 5: if satisfy beta 1 ≥λβ 2 Step 6 is entered, otherwise, the memory cell updates k' =k+. DELTA.a, wherein DELTA.a is the step size of the time update iteration, and step 2 is returned;
step 6: intermittent process T before time k 1 Is a non-intermittent period, and the statistic in the non-intermittent period is U s Intermittent process T after time k 2 Is intermittent, and the statistic in the intermittent is U d ;
Step 7: if statistics U s Maximum value U of (2) s(max) ≤β 1 And statistics U d Maximum value U of (2) d(max) ≤β 2 Step 8, entering a step, otherwise, giving an early warning to the indicator;
step 8: the first reactant and the second reactant enter the coke oven.
In the present invention, the first parameter f 1 Including at least the temperature of the first reactant, the oxygen concentration.
In the present invention, the second parameter f 2 At least including the oven door smoke concentration, oven side pressure of the second reactant.
In the present invention, the first threshold value beta 1 And a second threshold beta 2 Respectively a load matrix P t1 (i, j), load matrix P t2 (i, j) chi-square distribution calculation result of principal component number.
In the present invention, statistics U s The set of first parameters obtained for each first checkpoint is a load matrix P t1 (i, j) and a load matrix P t2 Distance H between (i, j) 1 (d) System for managingMetering U d The set of second parameters obtained for each second checkpoint is found in the load matrix P t2 (i, j) and a load matrix P t1 Distance H between (i, j) 2 (d)。
In the present invention, at a first checkpoint prior to time k, the load matrix P t1 (i, j) and P t2 Distance H between (i, j) 1 (d),Load matrix P t2 (i, j) and P t1 Distance H between (i, j) 2 (d),/>Wherein t is 1 And t 2 Representing a different first checkpoint, t 1 ,t 2 ∈[1,k]。
A management system for implementing a management method for a coal chemical industry batch process, comprising: the carbonization chamber, the control unit, the storage unit, the first sensor, the second sensor, the indicator and the coke oven,
the carbonization chamber is used for mixing and reacting the first reactant and the second reactant;
the first sensor records a first parameter of the reaction process in the carbonization chamber according to a first check point;
a second sensor records a second parameter of the reaction process in the carbonization chamber according to a second check point;
the control unit is used for recording the first parameter and the second parameter acquired by the first sensor and the second sensor;
the storage unit records each reaction state of the intermittent process and can modify the parameter values of the starting factor lambda and the starting time k;
the indicator is composed of a timing circuit with an interrupt characteristic, and when triggered, the indicator gives out an audible alarm;
the coke oven is used for receiving the first reactant and the second reactant.
The management method, the system and the computer readable storage medium for implementing the intermittent process of the coal chemical industry have the following beneficial effects: the dynamic modeling is carried out through two reaction stages in the intermittent process of coal chemical industry, the parameter information obtained by monitoring the sensor is optimized, and the optimal online monitoring method is searched according to the change of the parameter and the operation process, so that the problem of poor repeatability in online monitoring in the mixing process of the first reactant and the second reactant in the same equipment is solved. In addition, by using the monitoring method and the monitoring system, the connectivity among different production batches is improved, and the production efficiency of coal blending and coking is improved laterally.
Drawings
FIG. 1 is a flow chart of the method for managing a coal chemical industry batch process of the present invention.
FIG. 2 is a hardware block diagram of a management system of the intermittent process management method for coal industry of the present invention.
Description of the embodiments
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention.
In the coking process, under the condition of the same coking time, the quality of the coke produced at different standard temperatures has certain difference. In the actual coking production process, the processing is carried out in the same equipment or a plurality of equipment, so that the processing process of products with relatively fixed quality or batches is obtained, and the intermittent process can be caused in the whole production process due to the small change of temperature, the change of batch property and the change of working condition of the reaction equipment in the material reaction process. In the practice of coal chemical industry, it is necessary to cycle multiple automated production batches over a limited duration of operating cycles to obtain batches of product.
Different actual production processes of different coal types are different, under the condition that the working state of equipment is constant, in order to carry out on-line monitoring on the intermittent process, the time interval dividing points of a non-intermittent period and an intermittent period are determined, and in the production period of a single batch, when the condition that the statistics exceeds a threshold value in the intermittent process is monitored on line, the production system is proved to have faults, and the production process needs to be stopped in time.
Example 1
The method for managing the intermittent process of the coal chemical industry solves the problem of influence of parameter change on time period judgment in the intermittent process of the coal chemical industry, is used for on-line monitoring of the intermittent process in the production link of the first reactant and the second reactant in the embodiment, and specifically comprises the following steps with reference to FIG. 1.
Step 1: the first sensor and the second sensor are arranged in the carbonization chamber, the carbonization chamber is used for mixing the second reactant and the first reactant, the second reactant and the first reactant are mixed after being weighed by the conveying belt, and the next production process is executed.
In this embodiment, the first sensor includes a plurality of sensor units, which have a multi-parameter sampling function, and any one of the sensor units includes a sensing control circuit, where the sensing control circuit is formed by a CMOS circuit and a P-type tube, and is turned off in a high-level state, and the sensor does not work; and conducting in a low level state, and enabling the sensor to work for the first time.
Step 2: adding a first reactant into the carbonization chamber, adding the first reactant into the carbonization chamber, and carrying out intermittent process T of reaction 1 Comprises K 1 Sub-process, in batch process T 1 Setting m first check points in a batch process T 1 After execution is completed, the data matrix recorded at each first checkpoint is K 1 ×m。
Step 3: the control unit sets a start factor lambda=1, sets a start time k=1, and records a first parameter f of the first sensor in a plurality of sampling periods 1 Calculating a first threshold value beta after the sampling period is ended 1 . Wherein the first parameter f 1 Including at least the temperature of the first reactant, the oxygen concentration.
Step 3: adding a second reactant into the carbonization chamber, and reacting in a batch process T 2 Comprises K 2 In a batch process T 2 Setting n second check points in batch process T 2 After execution is completed, the data matrix recorded at each second checkpoint is K 2 ×n。
Step 4: the control unit records a second parameter f acquired by a second sensor in each sampling point carbonization chamber 2 Calculating a second threshold beta after the sampling period is ended 2 . Wherein the second parameter f 2 At least comprisesFurnace door smoke dust concentration, furnace side pressure of the second reactant.
Step 5: if satisfy beta 1 ≥λβ 2 Step 6 is entered, otherwise, the memory cell updates k' =k+. DELTA.a, where DELTA.a is the step size of the time update iteration, and returns to step 3.
In particular, the sequential addition of increasing the number of residual correlation matrices can ensure that the first parameter and the second parameter extracted in this embodiment have the same variable correlation at the time k, and if the first parameter and the second parameter have similar characteristics in the time k, the unsteady link model formed by the time k has the same monitoring effect as the k period model formed by the first parameter and the second parameter, thereby meeting the requirement of beta 1 ≥λβ 2 Then can be based on the monitoring statistic U s And U d Deducing the change condition of the unsteady state link; if not meet beta 1 ≥λβ 2 Then the step 3 is required to be returned to enter the next time to participate in the second iteration until the iteration reaches the time of k' to meet the requirement of beta 1 ≥λβ 2 Until that point.
In the present embodiment, at the first checkpoint before the k-time, the load matrix P t1 (i, j) and P t2 Distance H between (i, j) 1 (d),Load matrix P t2 (i, j) and P t1 Distance H between (i, j) 2 (d),/>Wherein t is 1 And t 2 Representing a different first checkpoint, t 1 ,t 2 ∈[1,k]。
In this embodiment, dividing the non-intermittent period and the intermittent period by using the k time as a standard is affected by the start factor, if the start factor is selected to be larger, the time when the variable correlation has the difference cannot be divided into the same period, so that the period division result has no reference value; if the initial factor is selected to be smaller, the variable correlation is not divided accurately enough in two continuous and adjacent moments, and noise interference exists in time interval division. Therefore, it is necessary to determine the rationality of the start factor selection. The number of the clustering centers N=f (k), the time k is continuously changed in different iteration times, the function taking the time k as an independent variable is linearly increased along with the increase of the time k at a fixed step length delta a, the fact that the number of the clustering centers is gradually increased from 1 to a plurality of critical points is explained, and the selected initial factor is the most preferable; if the time k increases at a fixed step Δa without change, f (k) is a constant value, indicating that the selected start factor in the iteration is not optimal, and entering the iteration verification process after updating is needed.
Step 6: taking k as a demarcation point, recording an intermittent process before the moment k as a non-intermittent period, wherein the statistic in the non-intermittent period is U s The intermittent process after the recording time k is an intermittent period, and the statistic in the intermittent period is U d 。
In the present embodiment, statistics U s The set of first parameters obtained for each first checkpoint is a load matrix P t1 (i, j) and a load matrix P t2 Distance H between (i, j) 1 (d) Statistics U d The set of second parameters obtained for each second checkpoint is found in the load matrix P t2 (i, j) and a load matrix P t1 Distance H between (i, j) 2 (d)。
Step 7: if statistics U s Maximum value U of (2) s(max) ≤β 1 And statistics U d Maximum value U of (2) d(max) ≤β 2 And (3) indicating that the unstable process is in a normal stage, and if the quantized statistic maximum value of the variable parameter is in a control threshold range, the process runs normally, and entering a step (8), otherwise, indicating that the quantized statistic maximum value of the variable parameter is beyond the control threshold range, and giving an early warning to the indicator.
Step 8: the first reactant and the second reactant enter the coke oven.
Example two
Referring to fig. 2, a management system for implementing a management method of a coal chemical industry batch process, includes: the carbonization chamber, the control unit, the storage unit, the first sensor, the second sensor, the indicator and the coke oven,
the carbonization chamber is used for mixing and reacting the first reactant and the second reactant;
the first sensor records a first parameter of the reaction process in the carbonization chamber according to a first check point;
a second sensor records a second parameter of the reaction process in the carbonization chamber according to a second check point;
the control unit is used for recording the first parameter and the second parameter acquired by the first sensor and the second sensor;
the storage unit records each reaction state of the intermittent process and can modify the parameter values of the starting factor lambda and the starting time k;
the indicator is composed of a timing circuit with an interrupt characteristic, and when triggered, the indicator gives out an audible alarm;
the coke oven is used for receiving the first reactant and the second reactant.
Example III
The present embodiment describes a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the method of managing a coal chemical industry batch process.
For the purposes of this description, a "computer-readable storage medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable storage medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a random access memory unit (RAM), a read-only memory unit (ROM), an erasable programmable read-only memory unit (EPROM or flash memory unit), an optical fiber device, and a portable compact disc read-only memory unit (CDROM). In addition, the computer-readable storage medium may even be paper or other suitable medium on which the program is printed, as the program may be electronically captured, via, for instance, optical scanning of the paper or other medium, then compiled, interpreted, or otherwise processed in a suitable manner, if necessary, and then stored in a computer memory unit.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, and alternatives falling within the spirit and scope of the invention.
Claims (7)
1. The method for managing the intermittent process of the coal chemical industry is characterized by comprising the following steps of:
step 1: the first reactant is added into a carbonization chamber, and the batch process T of the reaction is carried out 1 Comprises K 1 Sub-process, in batch process T 1 Setting m first check points;
step 2: the control unit sets a start factor lambda=1, sets a start time k=1, and records a first parameter f of the first sensor in a plurality of sampling periods 1 Calculating a first threshold value beta after the sampling period is ended 1 ;
Step 3: adding a second reactant into the carbonization chamber, and reacting in a batch process T 2 Comprises K 2 In a batch process T 2 Setting n second check points;
step 4: the control unit records a second parameter f acquired by a second sensor in a second check point in the carbonization chamber 2 Calculating a second threshold beta after the sampling period is ended 2 ;
Step 5: if satisfy beta 1 ≥λβ 2 Step 6 is entered, otherwise, the memory cell updates k' =k+. DELTA.a, wherein DELTA.a is the step size of the time update iteration, and step 2 is returned;
step 6: intermittent process T before time k 1 Is a non-intermittent period, and the statistic in the non-intermittent period is U s Intermittent process T after time k 2 Is intermittent, and the statistic in the intermittent is U d ;
Step 7: if statistics U s Maximum value U of (2) s(max) ≤β 1 And statistics U d Maximum value U of (2) d(max) ≤β 2 Enter intoStep 8, otherwise, the indicator gives an early warning;
step 8: the first reactant and the second reactant enter the coke oven.
2. The method of claim 1, wherein the first parameter f1 comprises at least a temperature of the first reactant and an oxygen concentration.
3. The method of claim 1, wherein the second parameter f2 comprises at least a furnace door smoke concentration, a furnace side pressure of the second reactant.
4. The method for managing a batch process in coal chemical industry according to claim 1, wherein the first threshold value β 1 And a second threshold beta 2 Respectively a load matrix P t1 (i, j), load matrix P t2 (i, j) chi-square distribution calculation result of principal component number.
5. The method for managing a batch process in coal chemical industry according to claim 1, wherein the statistic U s The set of first parameters obtained for each first checkpoint is a load matrix P t1 (i, j) and a load matrix P t2 Distance H between (i, j) 1 (d) Statistics U d The set of second parameters obtained for each second checkpoint is found in the load matrix P t2 (i, j) and a load matrix P t1 Distance H between (i, j) 2 (d)。
6. The method for managing a batch process of coal industry according to claim 1, wherein the load matrix P is at a first check point before the k moment t1 (i, j) and P t2 Distance H between (i, j) 1 (d),Load matrix P t2 (i, j) and P t1 Distance H between (i, j) 2 (d),/>Wherein t is 1 And t 2 Representing a different first checkpoint, t 1 ,t 2 ∈[1,k]。
7. The management system for implementing a management method of a coal chemical industry batch process according to claim 1, comprising: the carbonization chamber, the control unit, the storage unit, the first sensor, the second sensor, the indicator and the coke oven,
the carbonization chamber is used for mixing and reacting the first reactant and the second reactant;
the first sensor records a first parameter of the reaction process in the carbonization chamber according to a first check point;
a second sensor records a second parameter of the reaction process in the carbonization chamber according to a second check point;
the control unit is used for recording the first parameter and the second parameter acquired by the first sensor and the second sensor;
the storage unit records each reaction state of the intermittent process and can modify the parameter values of the starting factor lambda and the starting time k;
the indicator is composed of a timing circuit with an interrupt characteristic, and when triggered, the indicator gives out an audible alarm;
the coke oven is used for receiving the first reactant and the second reactant.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202310273645.1A CN116466658A (en) | 2023-03-21 | 2023-03-21 | Management method, system and computer readable storage medium for intermittent process of coal chemical industry |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202310273645.1A CN116466658A (en) | 2023-03-21 | 2023-03-21 | Management method, system and computer readable storage medium for intermittent process of coal chemical industry |
Publications (1)
Publication Number | Publication Date |
---|---|
CN116466658A true CN116466658A (en) | 2023-07-21 |
Family
ID=87179670
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202310273645.1A Pending CN116466658A (en) | 2023-03-21 | 2023-03-21 | Management method, system and computer readable storage medium for intermittent process of coal chemical industry |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN116466658A (en) |
-
2023
- 2023-03-21 CN CN202310273645.1A patent/CN116466658A/en active Pending
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN111445103B (en) | Power transmission cable production quality management feedback system based on industrial internet | |
JP2008059270A (en) | Process abnormality diagnostic device and process monitoring system | |
CN106845826B (en) | PCA-Cpk-based cold continuous rolling production line service quality state evaluation method | |
CN115876258B (en) | Livestock and poultry breeding environment abnormity monitoring and alarming system based on multi-source data | |
CN117193222A (en) | Intelligent quality control system based on industrial Internet of things and big data and control method thereof | |
CN111191855B (en) | Water quality abnormal event identification and early warning method based on pipe network multi-element water quality time sequence data | |
CN116125242A (en) | Object detection method and system | |
CN114266454A (en) | Cigarette factory energy consumption abnormity monitoring and judging method and system thereof | |
CN117312879B (en) | Injection molding machine production data supervision and early warning method, system and medium | |
CN116466658A (en) | Management method, system and computer readable storage medium for intermittent process of coal chemical industry | |
CN106845825A (en) | It is a kind of to be traced to the source and control method based on the cold rolling of strip steel quality problems for improving PCA | |
CN116589078B (en) | Intelligent sewage treatment control method and system based on data fusion | |
CN117350435A (en) | Method and system for managing industrial prawn culture equipment | |
CN112950908A (en) | Data monitoring and early warning method, system, medium and electronic terminal | |
CN114358450B (en) | Fermentation quality prediction system for mochi bread processing based on data processing | |
CN116914194A (en) | Cloud-coordinated fuel cell residual service life remote monitoring method | |
CN116629447A (en) | Intelligent detection system applied to PCBA products | |
CN115115213A (en) | Method and device for retrospective analysis of quality characteristics of steel products | |
CN113671287B (en) | Intelligent detection method, system and readable storage medium for power grid automation terminal | |
CN118068819B (en) | Large model data management system for high quality diagnostics and decision making | |
CN113094351B (en) | Knowledge mining and migration method for industrial automatic production process, intelligent terminal and storage medium | |
CN110648484A (en) | Intelligent judgment early warning system for laser drilling and judgment method thereof | |
CN116823175B (en) | Intelligent operation and maintenance method and system for petrochemical production informatization system | |
CN117314202B (en) | Product carbon efficiency monitoring and optimizing method and system based on industrial Internet | |
WO2024130882A1 (en) | Aging prediction method and system for heating component of power battery material firing system |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication |