CN108734237A - A kind of cloud control method of the hangar system based on technology of Internet of things - Google Patents

A kind of cloud control method of the hangar system based on technology of Internet of things Download PDF

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Publication number
CN108734237A
CN108734237A CN201810345660.1A CN201810345660A CN108734237A CN 108734237 A CN108734237 A CN 108734237A CN 201810345660 A CN201810345660 A CN 201810345660A CN 108734237 A CN108734237 A CN 108734237A
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processing factory
data
cloud platform
order
control method
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姘磋储
水财
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06KGRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K17/00Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations
    • G06K17/0022Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations arrangements or provisious for transferring data to distant stations, e.g. from a sensing device
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B65CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
    • B65GTRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
    • B65G1/00Storing articles, individually or in orderly arrangement, in warehouses or magazines
    • B65G1/02Storage devices
    • B65G1/04Storage devices mechanical
    • B65G1/0485Check-in, check-out devices

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  • Engineering & Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The present invention relates to clothing technology fields, and in particular to a kind of cloud control method of the hangar system based on technology of Internet of things.Suitable for the hangar system including cloud platform and multiple processing factories;It is characterized in that, cloud control method includes:Processing factory uploads creation data to cloud platform, receives and execute the control command from cloud platform in real time;Creation data includes the one or more in work forms data, production efficiency data, manufacturing schedule data;Control command includes job note distribution order, and cloud platform receives the order of sale shops and distributes order according to the creation data of each processing factory, and sends job note distribution order to corresponding processing factory and distributed with execution of order.Sale shops is realized by the cloud platform to dock with the direct of processing factory, intermediate link is not present between the formation and fabrication plan of order, information is more accurate.The reasonable utilization and allotment for being conducive to resource, it is more environmentally-friendly more to save cost.

Description

A kind of cloud control method of the hangar system based on technology of Internet of things
Technical field
The present invention relates to clothing technology fields, and in particular to a kind of high in the clouds control of the hangar system based on technology of Internet of things Method.
Background technology
Currently, production efficiency improves using the hangar system of Computerized intelligent in many ready-made clothes clothes production enterprises, improve Manage class, enterprise itself competitiveness.
The application for a patent for invention of application publication number CN107330493A, data of publication of application on November 7th, 2017 disclose one Kind data collection station, management system for internet of things and garment hanging system.The garment hanging system is transported automatically for controlling clothes hanger Row, including holder, by the backbone of holder support, background devices and in backbone upward spaced several work stations are walked, often One work station has read head, the mechanism that enters the station, controller, hoisting mechanism, outbound mechanism, power-driven system and above-mentioned intelligence Energy card data collection station, the controller control power-driven system, clothes hanger are imported into work station via the mechanism that enters the station, and pass through Clothes hanger is promoted to outbound mechanism by hoisting mechanism and exports to backbone via outbound mechanism clothes hanger, the read head is for perceiving The information out of the station of clothes hanger is simultaneously supplied to the controller and/or intelligent card data acquisition terminal, the controller and prime number intelligence The first communication module of energy card data collection station understands, the background devices and the second of the intelligent card data acquisition terminal Communication module connects.
Every production line of hangar system as described above is controlled by a PC machine, and system has the control of respectively control autonomous closure Communication bus processed cannot be in communication with each other between each system, cooperate.Immediately by one or several control communication bus data into Row docking can only also be confined to the data docking of the assembly line in a processing factory.
Current ready-made clothes production is typically to be carried out according to following flows:First, it is received and is come from by the design producer of whole clothing The order of each sale shops;Secondly, the design producer of whole clothing integrates the sale shops order received and executes fabrication plan;Most Afterwards, the design producer of whole clothing is processed according to marketing plan contact processing factory.Due to order formed to execute processing link it Between be that the design producer of whole clothing is required for participate, there are the lag of message between order to processing, processing factory can not be with Sale shops directly docks, and be easy to cause the waste of resource.Virtually increase production cost, inventory cost, extra inventory Also sales section is affected, selling pressure is increased, causes the waste of resource.
Invention content
The present invention is in order to solve the above technical problems, provide a kind of high in the clouds controlling party of the hangar system based on technology of Internet of things Method, suitable for including the hangar system of cloud platform and multiple processing factories;It is characterized in that, cloud control method includes:
Processing factory uploads creation data to cloud platform, receives and execute the control command from cloud platform in real time;
Creation data includes the one or more in work forms data, production efficiency data, manufacturing schedule data;
Control command includes job note distribution order, and cloud platform receives the order of sale shops and according to each processing factory Creation data distributes order, and sends job note distribution order to corresponding processing factory and distributed with execution of order.
In above-mentioned technical proposal, sale shops is realized by the cloud platform and is docked with the direct of processing factory, order It is formed and intermediate link is not present between fabrication plan, information is more accurate.The order of sale shops is united by cloud platform One distribution not only may be implemented a people and manage a plurality of production line, can more realize that a people manages multiple processing factories, even transregional Domain manages thousands of production lines of hundreds and thousands of a processing factories, is conducive to the reasonable utilization and allotment of resource, more saves Cost is more environmentally-friendly.
Preferably, Order splitting is preferentially given production type the processing factory consistent with the type of order by cloud platform.Preferentially It gives production type consistent processing factory Order splitting, reduces production risk.
Preferably, Order splitting is preferentially given time cost lower processing factory by cloud platform.Preferentially Order splitting is given The processing factory that task can most be completed soon, to reduce production risk.
Preferably, Order splitting is preferentially given transportation cost lower processing factory by cloud platform.Preferentially by the order point Dispensing can the lower processing factory of transportation cost, reduce transportation cost while reducing production risk.
Preferably, cloud platform monitors the production efficiency of each processing factory, when the production efficiency of a certain processing factory is pre- less than institute When the phase, sends low production efficiency and alert to the processing factory.Convenient for carrying out unified monitoring to the production efficiency of each processing factory.
Preferably, creation data includes pipeline data;Control command includes pipeline parameter's configuration order, cloud platform It is sent to the lower processing of production efficiency using the pipeline data of the higher processing factory of production efficiency as standard pipeline data Factory.Be conducive to share outstanding production management strategy between multiple processing factories, to improve the production efficiency of processing factory, save Production cost.
Preferably, pipeline data includes auxiliary material management data, cut data, cut-parts data, sewing data, rear integer According to the one or more in, whole clothing storage data, sorting data, storage data.
Preferably, the flowing water that cloud platform assesses processing factory according to the pipeline data of processing factory balances, when processing factory Flowing water balance allotment instruction is sent when flowing water imbalance to processing factory.The workload that dynamic adjustment production line respectively works, is protected The flowing water for holding assembly line balances so that working efficiency reaches best.
Preferably, cloud platform analyzes the bottleneck process of processing factory when the flowing water imbalance of processing factory, and according to analysis As a result flowing water balance allotment instruction is sent to processing factory.
Preferably, cloud platform records and backs up the creation data that each processing factory sends.
Description of the drawings
Fig. 1 is the production line schematic diagram of the processing factory of the embodiment of the present invention.
Specific implementation mode
Embodiments of the present invention are described in detail below in conjunction with attached drawing.
This specific embodiment is only explanation of the invention, is not the limitation to invention, those skilled in the art The modification that not creative contribution can be made to the present embodiment as needed after reading this specification, but as long as in this hair The protection of Patent Law is all received in bright right.
Embodiment one
A kind of hangar system based on technology of Internet of things, including cloud platform and multiple for being added fabric according to customer demand The processing factory for the finished product that work is needed at client.Each processing factory can include one or more production line, each assembly line It is processed to the finished product of identical production type or different types of finished product as needed.Wherein, in the present embodiment at Product can be the ready-made clothes product processed using fabrics such as clothes, or using the other products of the processing such as cloth or cladding (such as outdoor subscriber or automotive trim).The production type of finished product can be outdoor goods type, home textile type, wool spinning class Type, underwear type, cowboy's type, automotive trim class, children's garment class, western-style clothes class, down jackets class, gym suit class, knitting type etc..
As shown in Figure 1, with the schematic diagram of production line in ready-made clothes processing factory, which includes fabric along machine direction Storage and transportation subsystem cuts whole son after subsystem, cut-parts storage and transportation subsystem, electronics work-ticket subsystem, hanging trolley crack system, hanging System, whole clothing storage subsystem, sorting subsystem and tiered warehouse facility subsystem.Fabric storage and transportation subsystem is for carrying out intelligent face Feed bin stores up, and realizes the intelligence storage of fabric, intelligent outbound, carries out the Real-time inventory management of fabric.Fabric storage and transportation subsystem is by face Material outbound cuts subsystem and is used to carry out intelligence paving cloth and intelligence to the fabric from fabric storage and transportation subsystem to subsystem is cut Cutting forms cut-parts, and cut-parts are delivered to the cut-parts storage and transportation subsystem in downstream.Cut-parts storage and transportation subsystem for cut-parts it is temporary, The cut-parts of intelligent fragment and intelligent transport, scissors system of committing suicide in the future are delivered to the progress of the relevant work in hanging trolley crack system Processing.Electronics work-ticket system is as process outside the line between cut-parts storing and transporting system and hanging sewing system is arranged, for each The electronics work-ticket of creation data of the cut-parts addition for recording cut-parts.Electronics work-ticket can be the Quick Response Code being attached in cut-parts, One or more of RFID tag, bar code, the creation data for implementing to acquire cut-parts and the hanging sewing with downstream Whole subsystem slitless connection after subsystem and hanging.The prior art may be used in whole subsystem after hanging trolley crack system and hanging In various intelligent hangar systems, for realizing the intelligent transportation of cut-parts, Product Data Management, process optimization, screening pairing, intelligence It can sorting.Specifically, the hanging trolley crack system in the present embodiment and whole subsystem after hanging, are equipped with for carrying and record respectively Workpiece to be added (workpiece to be added in the present embodiment can be single cut-parts or by multiple cut-parts be spliced into half at Product) creation data Intelligent clothes hanger, Intelligent clothes hanger by the production data recording of corresponding workpiece to be added in its clothes hanger chip, clothing The creation data slitless connection recorded in frame chip and electronics work-ticket.Each cut-parts enter whole son after hanging trolley crack system and hanging System is formed to be transported to whole clothing storage subsystem after whole clothing, whole clothing store in a warehouse subsystem for realizing whole clothing according to Size is intelligently put in storage and realizes that the intelligence of whole clothing adjusts cabin as needed.During whole clothing through whole clothing storage subsystem classification is conveyed Sorting subsystem carries out sorting packing, to facilitate the transport of whole clothing product.Tiered warehouse facility subsystem is for realizing to coming from sorting The sorting of the cargo of subsystem is put in storage automatically, and is docked with information management system, is believed according to the order from information management system Breath realizes that the intelligent management and control of finished product cargo, realization are docked with logistics links.Fabric storage and transportation subsystem, cutting in the present embodiment Whole subsystem, whole clothing storage after subsystem, cut-parts storage and transportation subsystem, electronics work-ticket subsystem, hanging trolley crack system, hanging System, sorting subsystem and tiered warehouse facility subsystem are equipped with for production data recording device, and are used for each subsystem The pipeline data generated at system is (for example, the auxiliary material that fabric storage and transportation subsystem generates manages data, cuts generation at subsystem It is sewing data that cut-parts data, the hanging trolley crack system generated at cut data, cut-parts storage and transportation subsystem generates, whole after hanging Subsystem generate rear entire data, whole clothing store in a warehouse subsystem at generate whole clothing storage data, sorting subsystem at generate point Pick at data and tiered warehouse facility subsystem generate storage data) write-in electronics work-ticket and/or clothes hanger chip data data Writing station.
Preferably, hanging trolley crack system and each station of whole subsystem after hanging are additionally provided with for reading and showing electronics Preset add can also be recorded in the data read-write equipment of work-ticket and/or clothes hanger chip data, electronics work-ticket and/or clothes hanger chip The machining information read is being included on corresponding station, to the operation employee of the station by work information, data read-write equipment Work instructed.Fabric storage and transportation subsystem, cutting subsystem, cut-parts storage and transportation subsystem, electronics work-ticket in the present embodiment Whole subsystem, whole clothing storage subsystem, sorting subsystem and tiered warehouse facility after subsystem, hanging trolley crack system, hanging System is equipped with communication device, by the creation data of each subsystem respectively or unified be uploaded to cloud platform.In order to anti- The only loss of creation data, each subsystem are equipped with ups power, and when normal power supply interrupts, UPS power supplies may be used, with Ensure that each subsystem can store current creation data, to ensure the complete of data.
Each processing factory in the present embodiment is additionally provided with MES (enterprise's production executive system) system, and MES system receives production stream The creation data of each subsystem of waterline, and carry out Data Integration, before realizing production process, in (hanging trolley crack system and Whole subsystem after hanging), the slitless connections of rear data.Production status can be monitored in real time by MES system, promote process modification And streamline balance, improve production efficiency.It specifically includes:
Production status monitors
The production efficiency and manufacturing schedule of each production line are analyzed based on the pipeline data acquired in real time, realization pair adds Factory receives the real time monitoring of order, and accurately calculates production capacity and the production cycle of processing factory, avoid production development disorder and The case where overdue delivery.Monitoring current manufacturing schedule complete can not be timely completed current work at that time, send overdue alarm To cloud platform.Or can also processing factory be based on by cloud platform and upload creation data, the life to all working list of each processing factory Production progress carries out unified monitoring and scheduling.Specifically, the creation data that processing factory uploads may include work forms data, production effect One or more in rate data (pipeline data) and manufacturing schedule data.When cloud platform monitors the work of a certain processing factory Make progress can not completing task on time list or cloud platform when receiving the overdue alarm from processing factory, cloud platform is according to remaining The creation data of processing factory, to can not completing task on time list redistribute.Job note is redistributed, can be by high in the clouds Intelligent Matching is carried out according to certain standard, job note is split into one or more order, distributes to suitable processing Factory.Job note preferentially can be reassigned to production type consistent with the type of the job note one or more by cloud platform A processing factory, such as the type of job note is knitting type, then the job note is reassigned to production by cloud platform accordingly Type is similarly the idle processing factory of knitting type.It is minimum that job note preferentially can be reassigned to time cost by cloud platform Processing factory, such as cloud platform is according to the production efficiency data of each processing factory, preferentially by job note be reassigned to production efficiency compared with One or more high processing factory.Cloud platform can preferentially by job note be reassigned to transportation cost it is lower one or Multiple processing factories, such as cloud platform job note is reassigned to the dispatching apart from the job note closer processing factory, save Transportation dispatching cost.Cloud platform can also as needed according to the different weight of production type, production efficiency, transportation cost or Different priority redistributes job note.Cloud platform sends job note distribution order according to the strategy of redistributing of formulation To corresponding processing factory to execute redistributing for job note.
Flowing water balance control
Based on the task object performance of each subsystem of pipeline data analysis and assessment acquired in real time, monitoring production The flowing water of assembly line balances.When analysis result reflects the flowing water imbalance of processing factory, flowed according to the unbalanced production of flowing water The pipeline data of waterline searches bottleneck process, the flowing water balance of re-optimization production line:Improve the work of bottleneck process station Efficiency or the working efficiency for reducing bottleneck process upstream and downstream process station.
False detection
The workpiece to be added that each subsystem is monitored based on the pipeline data acquired in real time whether there is into mistake station or go out The case where mistake station.For example, a certain subsystem does not detect the workpiece to be added that should be entered the station originally in the expected time, then send Error correction warning message is to MES system.MES system is after the error correction warning for receiving subsystem, in the stream of the production line The workpiece to be added is investigated in line data, to be positioned to the workpiece to be added into wrong station or error station, is waited for finding this The processing route that the workpiece to be added is changed after the current location of workpiece carries out error correction.
Congestion control
Based on the congestion situation of each assembly line of pipeline data monitoring processing factory acquired in real time, when a certain work of assembly line When position blocks, stop transporting workpiece to be added to the station.
Product quality monitoring
Based on the pipeline data acquired in real time to the carry out product quality monitoring of each assembly line, when the quality of production is less than pre- Rework operation is executed when the phase.The processing route of the whole clothing or workpiece to be added of reloading quality dissatisfaction is done over again.
Cloud platform can be communicated with multiple processing factories, receive, store and back up a plurality of production flowing water of each processing factory The creation data of line.Creation data includes the one or more in work forms data, production efficiency data, manufacturing schedule data And pipeline data.Wherein,
Cloud platform analyzes the creation data of a plurality of production line of each processing factory received, and is based on dividing The result of analysis sends control command to processing factory, to realize remote control of the high in the clouds to processing factory.Based on high in the clouds to each processing factory Be uniformly controlled including:
Order splitting
Cloud platform can receive the order for coming self-sales shops, and according to the creation data of each processing factory to receiving Order is allocated.The distribution of order can carry out intelligent Matching according to certain standard by high in the clouds, entire Order splitting is given Entire order is split into one or more small order by one processing factory, distributes to suitable processing factory.Cloud platform can Preferentially to give production type one or more processing factory consistent with the type of the order Order splitting, such as order Type is knitting type, then cloud platform accordingly by the Order splitting to production type be similarly knitting one of type or Multiple free time processing factories.Order splitting preferentially can be given time cost one or more lower processing factory by cloud platform, example If cloud platform is according to the production efficiency data of each processing factory, preferentially by Order splitting to production efficiency it is higher one or more Processing factory.Order splitting preferentially can be given transportation cost lower processing factory by cloud platform, such as cloud platform gives Order splitting One or more the closer processing factory that dispenses apart from the order saves transportation dispatching cost.Cloud platform can also basis It needs to distribute order according to the different weight of production type, production efficiency, transportation cost or different priority.Cloud platform According to the allocation strategy of formulation, job note distribution order is sent to corresponding processing factory with the distribution of execution of order.
Production status monitors
When cloud platform monitor a certain processing factory job schedule can not completing task on time list or cloud platform receive When overdue alarm from processing factory, cloud platform according to the creation data of remaining processing factory, to can not completing task on time list into Row is redistributed.Job note is redistributed, and intelligent Matching can be carried out according to certain standard by high in the clouds, by tearing open for job note It is divided into one or more order, distributes to suitable processing factory.Job note preferentially can be reassigned to production by cloud platform Type one or more processing factory consistent with the type of the job note, such as the type of job note is knitting type, that The job note is reassigned to the idle processing factory that production type is similarly knitting type by cloud platform accordingly.Cloud platform can Job note is preferentially reassigned to the minimum processing factory of time cost, such as cloud platform according to the production efficiency of each processing factory Job note is preferentially reassigned to one or more higher processing factory of production efficiency by data.Cloud platform can preferentially by Job note is reassigned to one or more lower processing factory of transportation cost, such as job note is reassigned to by cloud platform The closer processing factory that dispenses apart from the job note saves transportation dispatching cost.Cloud platform can also be as needed according to life Type, production efficiency, the different weight of transportation cost or different priority are produced to redistribute job note.Cloud platform according to That formulates redistributes strategy, sends job note distribution order to corresponding processing factory to execute redistributing for job note.
Low production efficiency warning
Cloud platform can receive the order for coming self-sales shops, and according to the creation data of each processing factory to each processing factory Production efficiency be monitored.(less than being expected, it can refer to be less than and own when the production efficiency of a certain processing factory is less than the when of being expected The preset ratio of highest production efficiency in the production efficiency of processing factory can also be less than a certain preset predetermined value) It sends low production efficiency to alert to the processing factory, to remind the administrative staff of the processing factory to carry out production rectification, searches production effect The low reason of rate, carries out corresponding Optimal improvements.
Production efficiency optimizes
Cloud platform can receive the order for coming self-sales shops, and according to the creation data of each processing factory to each processing factory Production efficiency be monitored.Cloud platform can be using the pipeline data of the higher processing factory of production efficiency as standard assembly line Data are sent to the lower processing factory of production efficiency (for example, receiving the processing factory of low production efficiency warning).Preferably, cloud Platform can more each processing factory hardware parameter, the processing factory that hardware parameter is closer to is divided into same class.Classify herein base On plinth, cloud platform is using the pipeline data of the highest processing factory of production efficiency in same class processing factory as standard pipeline data Remaining processing factory or the lower processing factory of remaining production efficiency being sent in such processing factory, receive the standard assembly line The processing factory of data can be reference with the pipeline data, be optimized to the production line of oneself, to improve production effect Rate.
Flowing water balance control
Cloud platform can receive the order for coming self-sales shops, and every according to the creation data analysis and assessment of each processing factory The task object performance of a subsystem monitors the flowing water balance of production line.When analysis result reflects processing factory When flowing water imbalance, according to the pipeline data of the unbalanced production line of flowing water, bottleneck process, re-optimization production are searched The flowing water of line balances:It improves the working efficiency of bottleneck process station or reduces the work effect of bottleneck process upstream and downstream process station Rate.And flowing water balance allotment instruction is sent to processing factory according to optimisation strategy.Processing factory, which receives and executes flowing water balance allotment, to be referred to It enables, executes readjusting for flowing water.
Although the embodiments of the invention are described in conjunction with the attached drawings, but those of ordinary skill in the art can be in appended power Profit makes various deformations or amendments in the range of requiring.

Claims (10)

1. a kind of cloud control method of the hangar system based on technology of Internet of things is suitable for including cloud platform and multiple processing factories Hangar system;It is characterized in that, the cloud control method includes:
The processing factory uploads creation data to the cloud platform in real time, receives and executes the control life from the cloud platform It enables;
The creation data includes the one or more in work forms data, production efficiency data, manufacturing schedule data;
The control command includes job note distribution order, and the cloud platform receives the order of sale shops and according to each described The creation data of processing factory distributes the order, and sends the job note distribution order to corresponding processing factory and ordered with executing Single distribution.
2. a kind of cloud control method of hangar system based on technology of Internet of things according to claim 1, feature exist In:Order splitting is preferentially given production type the processing factory consistent with the type of the order by the cloud platform.
3. a kind of cloud control method of hangar system based on technology of Internet of things according to claim 1, feature exist In:The Order splitting is preferentially given time cost lower processing factory by the cloud platform.
4. a kind of cloud control method of hangar system based on technology of Internet of things according to claim 1, feature exist In:The Order splitting is preferentially given transportation cost lower processing factory by the cloud platform.
5. a kind of cloud control method of hangar system based on technology of Internet of things according to claim 1, feature exist In:The cloud platform monitors the production efficiency of each processing factory, when the production efficiency of a certain processing factory less than it is desired when, hair Low production efficiency is sent to alert to the processing factory.
6. a kind of cloud control method of hangar system based on technology of Internet of things according to claim 1, feature exist In:The creation data includes pipeline data;The control command includes pipeline parameter's configuration order, and the cloud platform will The pipeline data of the higher processing factory of production efficiency is sent to the lower processing factory of production efficiency as standard pipeline data.
7. a kind of cloud control method of hangar system based on technology of Internet of things according to claim 6, feature exist In:The pipeline data includes auxiliary material management data, cut data, cut-parts data, sewing data, rear entire data, whole clothing storehouse Store up the one or more in data, sorting data, storage data.
8. a kind of cloud control method of hangar system based on technology of Internet of things according to claim 6, feature exist In:The flowing water that the cloud platform assesses the processing factory according to the pipeline data of processing factory balances, when the stream of the processing factory Flowing water balance allotment instruction is sent when water imbalance to the processing factory.
9. a kind of cloud control method of hangar system based on technology of Internet of things according to claim 8, feature exist In:The cloud platform analyzes the bottleneck process of the processing factory when the flowing water imbalance of the processing factory, and is tied according to analysis Fruit sends flowing water balance allotment instruction to the processing factory.
10. a kind of cloud control method of hangar system based on technology of Internet of things according to claim 1, feature exist In:The cloud platform records and backs up the creation data that each processing factory sends.
CN201810345660.1A 2018-04-17 2018-04-17 A kind of cloud control method of the hangar system based on technology of Internet of things Pending CN108734237A (en)

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Application publication date: 20181102