CN114881476A - Raw material formula management system for leather product production - Google Patents
Raw material formula management system for leather product production Download PDFInfo
- Publication number
- CN114881476A CN114881476A CN202210501050.2A CN202210501050A CN114881476A CN 114881476 A CN114881476 A CN 114881476A CN 202210501050 A CN202210501050 A CN 202210501050A CN 114881476 A CN114881476 A CN 114881476A
- Authority
- CN
- China
- Prior art keywords
- raw material
- information
- module
- data
- allocation
- 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.)
- Granted
Links
- 239000002994 raw material Substances 0.000 title claims abstract description 84
- 239000010985 leather Substances 0.000 title claims abstract description 38
- 238000004519 manufacturing process Methods 0.000 title claims abstract description 34
- 238000012544 monitoring process Methods 0.000 claims abstract description 94
- 238000013500 data storage Methods 0.000 claims abstract description 40
- 238000007726 management method Methods 0.000 claims abstract description 20
- 230000005540 biological transmission Effects 0.000 claims abstract description 15
- 238000002360 preparation method Methods 0.000 claims abstract description 15
- 238000000034 method Methods 0.000 claims abstract description 14
- 230000002159 abnormal effect Effects 0.000 claims description 35
- 238000012795 verification Methods 0.000 claims description 26
- 238000002156 mixing Methods 0.000 claims description 17
- 238000012937 correction Methods 0.000 claims description 13
- 239000004615 ingredient Substances 0.000 claims description 12
- 238000013329 compounding Methods 0.000 claims description 4
- 238000012545 processing Methods 0.000 claims description 4
- 238000012546 transfer Methods 0.000 claims description 4
- 238000012986 modification Methods 0.000 claims description 2
- 230000004048 modification Effects 0.000 claims description 2
- 238000010200 validation analysis Methods 0.000 claims description 2
- 230000000007 visual effect Effects 0.000 claims description 2
- 230000005856 abnormality Effects 0.000 claims 4
- 150000001875 compounds Chemical class 0.000 description 8
- 238000009826 distribution Methods 0.000 description 3
- 238000001514 detection method Methods 0.000 description 2
- 238000012423 maintenance Methods 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000009417 prefabrication Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06316—Sequencing of tasks or work
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/04—Manufacturing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
- G06V10/75—Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video features; Coarse-fine approaches, e.g. multi-scale approaches; using context analysis; Selection of dictionaries
- G06V10/751—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
-
- 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
- Y02P90/30—Computing systems specially adapted for manufacturing
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Theoretical Computer Science (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- General Business, Economics & Management (AREA)
- Tourism & Hospitality (AREA)
- General Health & Medical Sciences (AREA)
- Marketing (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Entrepreneurship & Innovation (AREA)
- Educational Administration (AREA)
- Evolutionary Computation (AREA)
- Databases & Information Systems (AREA)
- Medical Informatics (AREA)
- Artificial Intelligence (AREA)
- Game Theory and Decision Science (AREA)
- Multimedia (AREA)
- Development Economics (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Computing Systems (AREA)
- Software Systems (AREA)
- Manufacturing & Machinery (AREA)
- Primary Health Care (AREA)
- General Factory Administration (AREA)
Abstract
The invention discloses a raw material formula management system for leather product production, which comprises a processor, an initial monitoring module, a data storage module, a raw material conveying module, a path monitoring module and an early warning control module, wherein the initial monitoring module is used for monitoring the raw material formula; the initial monitoring module is used for acquiring state data of the preparation equipment before raw material preparation, wherein the state data comprises equipment loss, equipment voltage and equipment smoothness; sending the state data to a data storage module through a processor, and carrying out raw material allocation by a raw material transmission module according to the calling information stored in the data storage module to obtain allocation information; the path monitoring module is used for monitoring allocation information in the raw material allocation process, and the allocation information comprises the monitoring of paths, allocation sequence and usage amount; the allocation information is early-warned and corrected through the early-warning control module, and the allocation information monitored in the path monitoring module and the calling information received in the early-warning monitoring module are displayed graphically, so that the stability in leather production is effectively improved.
Description
Technical Field
The invention relates to the technical field of leather production, in particular to a raw material formula management system for leather product production.
Background
In the formula management process of the existing leather production raw materials, the programmed monitoring of the formula raw materials is lacked, namely, the raw material consumption and the preparation path of the raw materials in the leather production process cannot be monitored in real time, so that certain defects exist in the preparation process of leather products;
meanwhile, in the existing leather production formula management process, a deviation correcting system of raw materials is lacked, so that the leather production efficiency is low, manual repeated correction is needed, and the intelligent production of leather products is not facilitated.
Disclosure of Invention
In order to solve the problems existing in the scheme, the invention provides a raw material formula management system for leather product production.
The purpose of the invention can be realized by the following technical scheme:
a raw material formula management system for leather product production comprises a processor, an initial monitoring module, a data storage module, a raw material conveying module, a path monitoring module and an early warning control module;
the initial monitoring module is used for acquiring state data of the preparation equipment before raw material preparation, wherein the state data comprises equipment loss, equipment voltage and equipment smoothness;
sending the state data to a data storage module through a processor, and carrying out raw material allocation by a raw material transmission module according to the calling information stored in the data storage module to obtain allocation information;
the path monitoring module is used for monitoring allocation information in the raw material allocation process, and the allocation information comprises the monitoring of paths, allocation sequence and usage amount;
and the allocation information is pre-warned and corrected through the pre-warning control module.
Preferably, the data label of the calling information is manually set or automatically generated according to the original data; the value of the data label is 0 or 1, when the data label is 0, the corresponding calling information display form is represented as normal batching, and when the data label is 1, the corresponding calling information display form is represented as abnormal batching.
The initial monitoring module automatically produces data tags according to the type of status data, including:
marking the monitoring normal of the state data as 0;
marking the state data monitoring abnormity as 1;
and carrying out forward matching on the data tag of the state data and the data tag of the calling information, and carrying out raw material allocation.
The path monitoring module acquires calling information original data in the data storage module and records the calling information original data as LY;
the path monitoring module monitors the blending information in the raw material transmission module and records the monitoring data of the blending information as YL;
when LY is equal to YL, the data label obtained by the path monitoring module is 0, and the allocation information display form is normal ingredient;
when LY is not equal to YL, the data label acquired by the path monitoring module is 1, and the allocation information display form is abnormal batching;
and when the allocation information display form is abnormal ingredient display, the path monitoring module records the abnormal information and feeds the abnormal information back to the early warning control module.
Preferably, the early warning control module comprises an abnormal warning unit and a deployment deviation correcting unit;
and the allocation deviation correcting unit matches the calling information in the data storage module to automatically correct the deviation according to the received abnormal information.
The allocation deviation correcting unit is used for monitoring allocation information in the raw material formula allocation process, performing data processing on the allocation information and the calling information, and correcting paths, allocation sequences and usage in the allocation information to obtain correction information.
Preferably, the correction information is fed back to the data storage module through the processor for secondary verification, the data mark recording the verification information is Y or N, when the data mark is Y, the corresponding calling information display form is normal batching, and when the data mark is N, the corresponding calling information display form is abnormal batching.
Wherein,
when the verification information is Y, transferring information in the data storage module to the raw material transfer module for secondary compounding;
and when the verification information is N, performing secondary correction on a distribution deviation correcting unit in the early warning control module.
Preferably, in the secondary correction process, the secondary verification is performed on the state data in the initial monitoring module in advance.
The abnormity alarm unit comprises an audible and visual alarm and is used for responding to the abnormity information of the path monitoring module and feeding back the abnormity information to the remote display terminal.
The invention has the beneficial effects that:
(1) the method comprises the steps of storing a plurality of raw material formulas of leather products in a data storage module in advance, marking the raw material formulas through calling information, transmitting the calling information stored in the data storage module to a raw material transmission module for raw material preparation, monitoring the allocation information of the raw material transmission module through a path monitoring module in the preparation process, and matching the monitoring information with the calling information in the data storage module through an early warning control module, so that the real-time monitoring of the allocation information of the raw material transmission module in the leather production is realized;
(2) the allocation information monitored in the path monitoring module and the calling information received in the early warning monitoring module are displayed graphically, so that the path, the allocation sequence and the using amount of the raw materials in the raw material conveying module and the path, the allocation sequence and the using amount of the raw materials stored in the data storage module are clearer and more intuitive, the errors of the formula in the leather production can be quickly obtained, and the stability in the leather production is improved;
(3) according to the invention, the allocation deviation correcting unit is additionally arranged in the early warning monitoring module, and the accuracy of allocation information in the raw material conveying module is effectively improved through multiple times of deviation correction, so that the production efficiency of the whole leather product is improved, and the raw material formula management system for leather product production is more intelligent.
Drawings
The invention will be further described with reference to the accompanying drawings.
Fig. 1 is a schematic diagram of the principle of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the preparation process of raw materials in leather production, the raw material formulas of a plurality of leather products are stored in a data storage module in advance, calling information stored in the data storage module is marked, the calling information is transmitted to a raw material transmission module to prepare the raw materials, in the preparation process, the raw material transmission module is monitored through a path monitoring module, the monitoring information is matched with the calling information in the data storage module through an early warning control module, and therefore real-time monitoring of the raw material transmission module allocation information in the leather production is achieved; the allocation information monitored in the path monitoring module and the calling information received in the early warning monitoring module are displayed in a graphical mode, so that the path, the allocation sequence and the using amount of raw materials in the raw material conveying module and the path, the allocation sequence and the using amount of the raw materials stored in the data storage module are clearer and more intuitive, errors of the formula in leather production can be quickly obtained, and the stability in the leather production is improved.
Referring to fig. 1, the present invention is a raw material formula management system for leather product production, including a processor, an initial monitoring module, a data storage module, a raw material delivery module, a path monitoring module, and an early warning control module;
the initial monitoring module is used for acquiring state data of the preparation equipment before raw material preparation, wherein the state data comprises equipment loss, equipment voltage and equipment smoothness;
sending the state data to a data storage module through a processor, and carrying out raw material allocation by a raw material transmission module according to the calling information stored in the data storage module to obtain allocation information;
the path monitoring module is used for monitoring allocation information in the raw material allocation process, and the allocation information comprises the monitoring of paths, allocation sequence and usage amount;
and the early warning and correction are carried out on the allocation information through the early warning control module.
The method for acquiring the state data in the initial monitoring module comprises the following steps:
s1: acquiring regular maintenance data of the equipment by workers, and marking the maintenance data as BJ;
s2: acquiring the power utilization voltage of the equipment during working through a voltmeter, and marking the power utilization voltage as DJ;
s3: acquiring neatness data of the equipment by a worker, and setting a neatness table to be CJ;
s4: acquiring an initial detection coefficient CX through a formula CX ═ alpha 1 xBJ + alpha 2 xDJ + alpha 3 xCJ; wherein α 1, α 2, and α 3 are preset scaling coefficients, and α 1+ α 2+ α 3 is 1.125;
wherein,
when CX is greater than L1, judging that the state data is normal, sending a data tag 0 instruction to the data storage module through the processor, carrying out forward matching with a data tag 0 in the data storage module, and realizing allocation of calling information in the data storage module when the matching is consistent, wherein L1 is a preset initial detection coefficient threshold value;
when CX is less than L1, judging that the state data is abnormal, sending a data label 1 instruction to a data storage module through a processor, displaying abnormal ingredients through calling information in the data storage module, transmitting a data label 0 instruction in the data storage module to an early warning control module, and giving an alarm through an abnormal alarm unit in the early warning control module;
performing secondary validation on the state data in the initial monitoring module through a blending deviation rectifying unit in the early warning control module;
the calling information LY stored in the data storage module comprises a material formula, a distribution route of formula raw materials, a distribution sequence, raw material consumption and other raw material preparation data in the leather product.
In one embodiment, the path monitoring module monitors the blending information in the feedstock delivery module and records it as YL;
when the allocation information YL in the path monitoring module is matched with the calling information LY in the data storage module, the path monitoring module acquires an instruction that the data label is 0, the allocation information shows that the ingredients are normally allocated, and the raw material transmission module continues to allocate the ingredients according to the allocation information;
when the allocation information YL in the path monitoring module is not consistent with the calling information LY in the data storage module, the path monitoring module acquires a command with a data label of 1, the allocation information is displayed as abnormal ingredients, the ingredient transmission module suspends ingredients, and the path monitoring module converts the acquired command with the data label of 1 into abnormal information and feeds the abnormal information back to the prefabrication control module;
in a specific embodiment, the allocation information YL in the path monitoring module includes, but is not limited to, a path monitoring coefficient LM, an allocation sequence monitoring coefficient BM, and a usage monitoring coefficient YM;
the calling information LY in the early warning monitoring module includes but is not limited to the path monitoring coefficient LM 1 BM monitoring the dispatching sequence 1 And the quantity monitoring coefficient YM 1 ；
Specifically, the method comprises the following steps:
LY＝LM 1 ·X 2 +BM 1 ·X+YM 1 ；
wherein, LM 1 、BM 1 、YM 1 Are all constant, and LM 1 ≠0；
Calling information LY in the early warning monitoring module and displaying the calling information LY in a display terminal in an image mode through a character string, and marking the image as a verification reference image;
YL＝LM·X 2 +BM·X+YM；
wherein LM, BM and YM are constants, and LM is not equal to 0;
displaying the allocation information YL in the path monitoring module in an image mode on a display terminal through a character string, and marking the image as a compound reference image;
comparing the compound reference image with the verification reference image, wherein the specific comparison is as follows:
W 1 : when the opening of the compound reference image is inconsistent with the verification reference image:
W 11 : the opening of the compound reference image is larger than that of the verification reference image, namely LM is less than LM 1 When the path in the raw material conveying module is abnormal, the abnormal alarming unit alarms;
W 12 : the opening of the compounded reference image is smaller than that of the verification reference image, namely LM is larger than LM 1 When the path in the raw material conveying module is abnormal, the abnormal alarming unit alarms;
W 13 : when the opening size of the compounded reference image is consistent with that of the verification reference image, namely LM is equal to LM 1 The path in the material transfer module is normal;
W 2 : judging the compound reference image and the verification reference image in the horizontal direction:
W 21 : when the compound reference image is positioned at the left side of the verification reference image, namely BM < BM 1 The allocation sequence in the raw material conveying module is abnormal, and then an abnormal alarm unit alarms;
W 22 : when the compounded reference image is positioned at the right side of the verification reference image, namely BM & gtBM 1 The blending sequence in the raw material conveying module is abnormal, and an abnormal alarm unit alarms;
W 23 : when the compound reference image and the verification reference image are overlapped in the horizontal direction, namely BM ═ BM% 1 The blending sequence in the raw material conveying module is normal;
W 3 : judging the compounded reference image and the verification reference image in the vertical direction:
W 31 : when the compounded reference image is positioned above the verification reference image, namely YM is more than YM 1 The dosage in the raw material conveying module is abnormal, and then the abnormal alarming unit alarms;
W 32 : when the compound reference image is positioned below the verification reference image, namely YM < YM 1 The dosage in the raw material conveying module is abnormal, and then the abnormal alarming unit alarms;
W 33 : when the compounded reference image and the verification reference image are superposed in the vertical direction, namely YM ═ YM 1 The amount of the raw material conveying module is normal;
transmitting the abnormal path monitoring coefficient LM, the allocation sequence monitoring coefficient BM and the usage monitoring coefficient YM obtained from the early warning monitoring module to an allocation deviation correcting unit in a signal form;
the processing steps for allocating the deviation rectifying unit are as follows:
V 1 : the allocation deviation correcting unit acquires an abnormal path monitoring coefficient LM in the early warning control module, the acquired information is matched to the operator operation terminal through the processor, the operator corrects the path in the raw material conveying module, the corrected LM is fed back to the data storage module for secondary verification, and verification information and a data label Y or N are displayed
V 11 : when the verification information is Y, transferring information in the data storage module to the raw material transfer module for secondary compounding;
V 111 : monitoring for the second time through a path monitoring module in the secondary compounding process;
V 112 : the early warning control module in the secondary monitoring of the path monitoring module carries out secondary early warning and correction on the allocation information;
V 12 : when the check information is N, performing secondary correction on a blending deviation correcting unit in the early warning control module;
V 121 : repeating the V1 to perform secondary rectification;
V 13 : the deviation rectification of the dispatching sequence monitoring coefficient BM and the dosage monitoring coefficient YM by the dispatching deviation rectification unit is consistent with the deviation rectification program of the path monitoring coefficient LM;
through the processing of the allocation deviation rectifying unit, the display image of the calling information in the data storage module is consistent with the display image of the allocation information in the raw material transmission module by the early warning control module, and the raw material formula management for leather product production is realized.
The above formulas are all quantitative calculation, the formula is a formula obtained by acquiring a large amount of data and performing software simulation to obtain the latest real situation, and the preset parameters in the formula are set by the technical personnel in the field according to the actual situation.
While one embodiment of the present invention has been described in detail, the description is only a preferred embodiment of the present invention and should not be taken as limiting the scope of the invention. All equivalent changes and modifications made within the scope of the present invention shall fall within the scope of the present invention.
Claims (10)
1. A raw material formula management system for leather product production is characterized by comprising a processor, an initial monitoring module, a data storage module, a raw material conveying module, a path monitoring module and an early warning control module;
the initial monitoring module is used for acquiring state data of the preparation equipment before raw material preparation, wherein the state data comprises equipment loss, equipment voltage and equipment smoothness;
sending the state data to a data storage module through a processor, and carrying out raw material allocation by a raw material transmission module according to the calling information stored in the data storage module to obtain allocation information;
the path monitoring module is used for monitoring allocation information in the raw material allocation process, and the allocation information comprises the monitoring of paths, allocation sequence and usage amount;
and the early warning and correction are carried out on the allocation information through the early warning control module.
2. The raw material formula management system for leather product production according to claim 1, wherein the data tag of the calling information is manually set or automatically generated according to original data; the value of the data label is 0 or 1, when the data label is 0, the corresponding calling information display form is represented as normal batching, and when the data label is 1, the corresponding calling information display form is represented as abnormal batching.
3. The leather product manufacturing feedstock recipe management system of claim 2, wherein the initial monitoring module automatically produces a data tag based on the type of status data, comprising:
marking the monitoring normal of the state data as 0;
marking the state data monitoring abnormity as 1;
and carrying out forward matching on the data tag of the state data and the data tag of the calling information, and carrying out raw material allocation.
4. The raw material recipe management system for leather product production according to claim 1, wherein the path monitoring module obtains the calling information raw data in the data storage module as LY;
the path monitoring module monitors the blending information in the raw material transmission module and records the monitoring data of the blending information as YL;
when LY is equal to YL, the data label obtained by the path monitoring module is 0, and the allocation information display form is normal ingredient;
when LY is not equal to YL, the data label acquired by the path monitoring module is 1, and the allocation information display form is abnormal batching;
and when the allocation information display form is abnormal ingredient display, the path monitoring module records the abnormal information and feeds the abnormal information back to the early warning control module.
5. The raw material formula management system for leather product production according to any one of claims 1-4, wherein the early warning control module comprises an abnormality warning unit and a blending deviation correcting unit;
and the allocation deviation correcting unit matches the calling information in the data storage module to automatically correct the deviation according to the received abnormal information.
6. The raw material formula management system for leather product production according to claim 5, wherein the blending deviation rectifying unit is configured to monitor blending information during a raw material formula blending process, perform data processing on the blending information and calling information, and realize the modification of a path, a blending sequence and a dosage in the blending information to obtain modified information.
7. The raw material formula management system for leather product production according to claim 6, wherein the correction information is fed back to the data storage module through the processor for secondary verification, the data label of the recorded verification information is Y or N, when the data label is Y, the corresponding calling information display form is normal ingredient, and when the data label is N, the corresponding calling information display form is abnormal ingredient.
8. The leather product manufacturing feedstock recipe management system of claim 7, wherein,
when the verification information is Y, transferring information in the data storage module to the raw material transfer module for secondary compounding;
and when the verification information is N, performing secondary correction on a blending deviation correcting unit in the early warning control module.
9. The leather product manufacturing feedstock recipe management system of claim 8, wherein during the second correction process, a second validation of the status data in the initial monitoring module is performed in advance.
10. A raw material formula management system for leather product production according to any claim 5, wherein the abnormality alarming unit comprises an audible and visual alarm for responding to the abnormality information of the path monitoring module and feeding back the abnormality information to the remote display terminal.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210501050.2A CN114881476B (en) | 2022-05-09 | 2022-05-09 | Raw material formula management system for leather product production |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210501050.2A CN114881476B (en) | 2022-05-09 | 2022-05-09 | Raw material formula management system for leather product production |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114881476A true CN114881476A (en) | 2022-08-09 |
| CN114881476B CN114881476B (en) | 2023-03-24 |
Family
ID=82674026
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210501050.2A Active CN114881476B (en) | 2022-05-09 | 2022-05-09 | Raw material formula management system for leather product production |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114881476B (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106010958A (en) * | 2016-06-29 | 2016-10-12 | 哈尔滨华藻生物科技开发有限公司 | Multifunctional culture fluid preparation device |
| CN111967819A (en) * | 2020-08-07 | 2020-11-20 | 江苏海岸线互联网科技有限公司 | Intelligent material usage amount allocation method and device |
| CN113110362A (en) * | 2021-05-24 | 2021-07-13 | 深创高新产业研究中心(深圳)有限公司 | Injection molding equipment state monitoring system based on industry 4.0 |
| CN113485267A (en) * | 2021-07-12 | 2021-10-08 | 湖南先登智能科技有限公司 | Automatic control system for nickel-based target production |
-
2022
- 2022-05-09 CN CN202210501050.2A patent/CN114881476B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106010958A (en) * | 2016-06-29 | 2016-10-12 | 哈尔滨华藻生物科技开发有限公司 | Multifunctional culture fluid preparation device |
| CN111967819A (en) * | 2020-08-07 | 2020-11-20 | 江苏海岸线互联网科技有限公司 | Intelligent material usage amount allocation method and device |
| CN113110362A (en) * | 2021-05-24 | 2021-07-13 | 深创高新产业研究中心(深圳)有限公司 | Injection molding equipment state monitoring system based on industry 4.0 |
| CN113485267A (en) * | 2021-07-12 | 2021-10-08 | 湖南先登智能科技有限公司 | Automatic control system for nickel-based target production |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114881476B (en) | 2023-03-24 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US5327349A (en) | Method and apparatus for analyzing and recording downtime of a manufacturing process | |
| JP4436046B2 (en) | Enhanced alerts for HART devices in process control systems | |
| CN113128972B (en) | Intelligent production management system for medical packaging bags | |
| CN109976291A (en) | Production monitoring method and device | |
| US20150310369A1 (en) | Material maangement and control system | |
| CN112738236B (en) | Intelligent fire-fighting management system and method for building end | |
| CN110597196A (en) | Data acquisition system and data acquisition method | |
| CN114750510B (en) | Defect marking and automatic eliminating method, system, equipment and medium | |
| CN116275755B (en) | Intelligent control system of welding production line | |
| CN114881476B (en) | Raw material formula management system for leather product production | |
| CN111611325A (en) | Intelligent management system for production materials | |
| CN116700183A (en) | Method for monitoring production of filled milk and management system | |
| CN113435693B (en) | Glass product production management system | |
| CN115545435A (en) | Low-carbon management system for seasoning factory | |
| CN116027725A (en) | Group control optimization analysis system based on high-efficiency machine room | |
| DE102008050167A1 (en) | Method and system for analyzing operating conditions | |
| CN106698135A (en) | Elevator monitoring method and monitoring platform | |
| CN111695883A (en) | Automatic checking method for consistency of operation of live-line work order and master station listing | |
| CN113706072B (en) | Method for realizing fine management of production materials by using 5G technology | |
| CN213353610U (en) | Garbage bag management system and garbage bag production equipment set | |
| CN114372743A (en) | Product inventory monitoring management method, device, equipment and storage medium | |
| CN113469385A (en) | Visual monitoring method and system for equipment state | |
| CN118504957A (en) | Automatic control method of production line based on machine vision | |
| TWI778344B (en) | A system and method to monitor tape breakage | |
| KR20170069047A (en) | Production management system and method for SMT apparatus |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |