CN110745450A - Remote automation stereoscopic warehouse monitored control system - Google Patents
Remote automation stereoscopic warehouse monitored control system Download PDFInfo
- Publication number
- CN110745450A CN110745450A CN201911020987.2A CN201911020987A CN110745450A CN 110745450 A CN110745450 A CN 110745450A CN 201911020987 A CN201911020987 A CN 201911020987A CN 110745450 A CN110745450 A CN 110745450A
- Authority
- CN
- China
- Prior art keywords
- data
- thingworx
- module
- server
- goods
- 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
Images
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65G—TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
- B65G1/00—Storing articles, individually or in orderly arrangement, in warehouses or magazines
- B65G1/02—Storage devices
- B65G1/04—Storage devices mechanical
- B65G1/137—Storage devices mechanical with arrangements or automatic control means for selecting which articles are to be removed
Abstract
The invention discloses a remote automatic stereoscopic warehouse monitoring system, which adopts the technical scheme that the system comprises a cloud service layer, a data acquisition layer and a device layer, wherein the cloud service layer comprises a client, a remote server and a data server, and the data acquisition layer comprises: the industrial gateway, the industrial switch and the PLC monitoring module, the equipment layer comprises a stacker module, an in-out library module and a carrying module. The invention focuses on analyzing and solving the problems of complicated management process, high failure rate and low intelligent informatization degree of the stereoscopic warehouse industry at present, and designs a remote monitoring system integrating data acquisition, data transmission, a server and a client. The system realizes the organic combination of a PLC technology, a communication technology and a data processing technology, realizes the inventory optimization processing, reduces the fund occupation, ensures the personal safety of workers and the normal operation of equipment, realizes the unified management of goods in the freight house, and has important research value and practical significance.
Description
Technical Field
The invention relates to the technical field of automatic control systems, in particular to a remote automatic stereoscopic warehouse monitoring system.
Background
The automatic stereoscopic warehouse is an important device in intelligent factories and modern logistics systems, and the use of the automatic stereoscopic warehouse can effectively save floor space and reduce enterprise cost. The automatic stereoscopic warehouse uses automatic mechanical equipment to carry out goods warehousing and ex-warehousing, and generally comprises goods shelves, a stacker, an warehousing and ex-warehousing system, a conveying line and the like. At present, the automatic stereoscopic warehouse is widely applied to industries such as food processing and manufacturing, electronic devices, airport logistics and the like. The automated stereoscopic warehouses are different in form and structure, and the traditional stereoscopic warehouse has the defects of low automation degree and low efficiency. With the rapid development of social economy, the logistics requirements are higher and higher for the automation, networking and informatization degree of the automatic stereoscopic warehouse, so that the design of a simple and practical automatic stereoscopic warehouse control system is a very significant and challenging subject.
The remote monitoring can be carried out by means of modern sensing technology, communication technology and computer technology, the traditional manual monitoring mode can be replaced, and the working efficiency is effectively improved. With the rapid development of the technology of the industrial internet of things and the standardization thereof, concepts and operation modes such as digital service, remote monitoring and diagnosis, personalized customized production and the like taking intelligent service as a core gradually permeate into each link of the manufacturing industry.
Therefore, an automatic stereoscopic warehouse combined with a remote monitoring technology is designed, and the industrial internet of things platform is connected with a field stereoscopic warehouse control system and equipment to realize rapid data acquisition, storage and sharing, so that the system has wide application prospect and popularization value.
Disclosure of Invention
The invention aims at the technical problems, overcomes the defects of the prior art and provides a remote automatic stereoscopic warehouse monitoring system.
The technical scheme of the invention is further defined as follows: the utility model provides a remote automation stereoscopic warehouse monitored control system, includes high in the clouds service layer, data acquisition layer and equipment layer, high in the clouds service layer includes client, remote server and data server, the data acquisition layer includes: the industrial gateway, the industrial switch and the PLC monitoring module, the equipment layer comprises a stacker module, an in-out library module and a carrying module.
Further, the client comprises a ThingWorx mixing and overlapping unit and secondary development of a specific client, the remote server is realized by a ThingWorx server, data exchange is realized among a data acquisition layer, the data server and the client through the server, the data server adopts a Microsoft Azure cloud platform to realize real-time data storage and realize data exchange with the ThingWorx server and the data acquisition layer.
Furthermore, the industrial gateway is ThingWorx industrial connection software, data conversion under different communication protocols is realized, the industrial switch can adopt an SF95D-08 switch as a data transfer station for real-time Ethernet data transmission of the system, the PLC control module can adopt a Micro850 controller, the PLC control module is connected with the stacker module, the in-out base module and the carrying module of the equipment layer, and data are transmitted to the field server, the remote server and the data server through the industrial gateway.
Furthermore, the stacker module is used for realizing the accurate operation of putting goods into a goods shelf and taking the goods out of the goods shelf by taking the incremental photoelectric encoder as feedback through closed-loop control of the three-dimensional stacker, the in-out warehouse module acquires goods information through bar code data acquisition, the accurate stop of a goods-in warehouse and the accurate stop of goods-out warehouse are realized by controlling the conveying belt, the carrying module comprises a stacking robot, a pneumatic module and an infrared distance measuring sensor, the pneumatic module and the infrared distance measuring sensor are installed at the tail end of the stacking robot, and the goods carrying between the conveying belt and the stacker is realized by controlling the stacking robot.
Further, the thinworx server comprises a thinworx analysis unit, a thinworx storage unit, a thinworx mashup unit, and a thinworx authoring unit, wherein the thinword storage unit exchanges data with the thinworx industry directly or through Internet, acquires or stores data from a Microsoft Azure cloud platform through Internet, and exchanges data with the thinworx authoring unit and the thinword analysis unit, the thinworx authoring unit exchanges data with the thinword storage unit, the thinword analysis unit, and the designed thinword mashup interface, and the thinworx analysis unit exchanges data with the thinworx storage unit and the thinword authoring unit.
Further, the thinworx industrial connection software may directly transmit data to a thinworx storage unit or remotely transmit data to the thinworx storage unit via the Internet.
The invention has the beneficial effects that: a remote automatic stereoscopic warehouse monitoring system aims at the trend that the state promotes intelligent manufacturing and industrial Internet, researches and applies advanced information technology means, and designs a remote monitoring system integrating data acquisition, data transmission, a server and a client. The system realizes the organic combination of a PLC technology, a communication technology and a data processing technology, realizes the inventory optimization processing, reduces the fund occupation, ensures the personal safety of workers and the normal operation of equipment, realizes the unified management of goods in the freight house, and has important research value and practical significance.
(1) In the invention, based on various technical means such as a cloud storage technology, an industrial internet technology, programmable control and the like, a remote monitoring system integrating data acquisition, data transmission and a client is realized, and the remote monitoring system has the advantages of good openness, high integration level and certain popularization value.
(2) The invention provides a visual remote client monitoring interface, can remotely control the starting, stopping and speed regulation of equipment such as a stacker, a conveyor belt, a transfer robot and the like, can also display the real-time and statistical information of goods in and out of a stereoscopic warehouse and the information of working states, faults and the like of bottom equipment, and has complete system functions and strong expansibility.
Drawings
FIG. 1 is a block diagram of the system configuration of embodiment 1;
FIG. 2 is a block diagram showing a configuration of a remote server according to embodiment 1;
FIG. 3 is a schematic diagram of a power supply module in embodiment 1;
FIG. 4 is a schematic diagram of a PLC control module in embodiment 1;
FIG. 5 is a schematic diagram of a stacker module in embodiment 1;
FIG. 6 is a schematic diagram of a stacker module in embodiment 1;
FIG. 7 is a schematic view of an entrance and exit library module in example 1;
FIG. 8 is a schematic diagram of a palletizing module in embodiment 1;
fig. 9 is a schematic diagram of a communication module in embodiment 1;
FIG. 10 is a flow chart of big data processing in embodiment 1;
FIG. 11 is a flowchart of the warehousing of the cargo in example 1.
In the figure, 1, a cloud service layer; 11. a client; 12. a remote server; 121. a thinworx server; 1211. a thinworx analysis unit; 1212. a thinworx memory cell; 1213. a ThingWorx mixing unit; 1214. a thinworx authoring unit; 13. a data server; 131. microsoft Azure cloud platform; 2. a data acquisition layer; 21. an industrial gateway; 211. thinworx industrial connection; 22. an industrial switch; 23. a PLC monitoring module; 3. a device layer; 31. a stacker module; 32. an input and output library module; 33. and (5) carrying the module.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings.
Example 1: a remote automatic stereoscopic warehouse monitoring system, as shown in fig. 1, the system is composed of a cloud service layer 1, a data acquisition layer 2 and an equipment layer 3.
As shown in fig. 1, the cloud service layer 1 includes a client 11, a remote server 12, and a data server 13. The client 11 is generated by secondary development of the thinworx mashup concrete client 11. The remote server 12 is realized by a thinworx server 121, and data exchange with the data acquisition layer 2, the data server 13 and the client 11 is realized through the server; the data server 13 realizes the storage of real-time data and realizes the data exchange with the thinworx server 121 and the data acquisition layer 2.
As shown in fig. 1, the data acquisition layer 2 mainly comprises: industrial gateway 21, industrial switch 22 and power supply module. The industrial gateway 21 is a ThingWorx industrial connection software and realizes data conversion under different communication protocols; the industrial switch 22 serves as a data transfer station for system real-time ethernet data transmission. The PLC control module is connected with the stacker module 31, the in-out library module and the carrying module 33 of the equipment layer 3, and transmits data to the field server, the remote server 12 and the data server 13 through the industrial gateway 21;
as shown in fig. 1, the equipment level 3 includes a stacker module 31, an in-out library module, and a handling module 33; the stacker module 31 is used for performing closed-loop control on the three-dimensional stacker by taking the incremental photoelectric encoder as feedback to realize accurate operation of putting goods into and taking goods out of the goods shelf; the warehouse entry and exit module acquires goods information through bar code data acquisition, and realizes the accurate stop of the warehouse entry position of goods and the accurate stop of the warehouse exit of the goods by controlling the conveyor belt; the carrying module 33 is used for carrying goods between the conveyor belt and the stacker by controlling the stacking robot.
As shown in fig. 2, the remote server 12 employs a thinworx server 121, wherein a thinworx storage unit 1212 exchanges data with the thinworx industrial connection 211 directly or through the Internet, may acquire or store data from the Microsoft Azure cloud platform 131 through the Internet, and may exchange data with a thinworx authoring unit 1214 and a thinworx analytics unit 1211. The same thinworx authoring unit 1214 may exchange data with a thinworx storage unit 1212, a thinworx analysis unit 1211, and a designed thinworx mashup interface. A developer can write corresponding services and subscriptions by utilizing a JavaScript language according to corresponding business logic, establish a model and simply analyze data according to required requirements, and realize the due functions of the system. The same thinworx analysis unit 1211 can exchange data with a thinworx storage unit 1212 and a thinworx authoring unit 1214. The thinworx analysis unit 1211 may perform prediction and judgment of an event according to the trained data model, and perform model training again according to new data. The same thinworx mashup unit 1213 can design a UI interface and associate data in the thinworx hosting server, and accelerate development of applications and application program operation support through related pre-constructed services, wherein the designed UI interface can be directly published, locally monitored and remotely monitored in a web browser, or create a client 11 applied to different devices through joint deployment as needed.
As shown in fig. 2, the thinworx industrial connection 211 software may transfer data directly to the thinworx storage unit 1212 or remotely over the Internet to the thinworx storage unit 1212. The data and information of a plurality of sources can be integrated together, and uniform data transmission is facilitated. The Microsoft Azure cloud platform 131 is used to acquire or store a large amount of data in the system, and facilitates the invocation of the thinworx server 121.
As shown in FIG. 3, the module adopts 2080-PS120-240VAC as a main power supply module of the system, a LAY7-11ZS emergency stop switch is used as a system emergency stop switch, AD16-22D5 alternating current indicator lamps are used as indicator lamps of the power supply state of the system, and a 188-K2D250 two-stage circuit breaker is used as an air switch of the system. The AC220V power supply is directly used for supplying power for the PowerFlex525 frequency converter, the DC12V power supply output by the MU08-610050-A2 power adapter is used for supplying power for the industrial switch 22SF95D-08, the input of the LM2596 voltage reduction module is connected to an output point of 2080-PS120-240VAC, and the voltage is reduced to stable 5V voltage through the LM2596 voltage reduction chip to supply power for the sensor data processor Arduino Nano.
As shown in FIG. 4, a Micro850 controller is adopted as data monitoring equipment of the system, high-speed counting ports I-02 and I-03 are respectively connected to A, B phase output ends of an LPD3806-360BM-G5-24C incremental photoelectric encoder, the movement direction and the absolute position of a horizontal shaft of the three-dimensional stacker are obtained through programming calculation, and the obtained data are used as feedback to realize closed-loop control of the horizontal movement of the three-dimensional stacker. Meanwhile, in order to avoid the accumulation of errors caused by the interference during the operation of the incremental photoelectric encoder, the EE-SX672A photoelectric sensor with the fixed position connected to the input port I-12 is used as a calibration point of an absolute position. The same high-speed counting ports I-04 and I-05 are connected to the A, B phase output end of the incremental photoelectric encoder of the vertical shaft of the three-dimensional stacker to realize closed-loop control, and the input port I-13 is used as a calibration point of an absolute position. The same high-speed counting ports I-06 and I-07 are connected to the A, B phase output end of the incremental photoelectric encoder of the three-dimensional stacker taking and placing shaft to realize closed-loop control, and the input port I-14 is used as a calibration point of an absolute position. The same high-speed counting ports I-08 and I-09 are connected to the A, B phase output end of the incremental photoelectric encoder of the conveyor belt for entering and exiting the warehouse to realize closed-loop control, and the input port I-15 is used as a calibration point of an absolute position. Wherein the input port I-16 is connected to the output end of the 872CT-NH4NP8-J10 proximity switch, fixed at the position of the warehouse-in/warehouse-out conveyor belt and used as a successful mark for goods warehouse-out.
As shown in FIG. 4, the output ports O-00, O-03 and O-06 form a stepping drive group together, and the stepping drive group controls the pulse output, the direction output and the enable output of the stepping driver, so as to control the connecting rod movement of the stacker crane. Similarly, the output ports O-01, O-04 and O-07 together form a stepping driving group to control the movement of the driving arm of the stacker crane. Similarly, the output ports O-02, O-05 and O-08 jointly form a stepping driving group to control the waist movement of the stacker crane. Wherein the output port O-10 is connected with a 24V port of a 4V210-06 electromagnetic valve coil, and the Micro850 controller controls the opening and closing of the air source by controlling the opening and closing of the output port O-10, so as to control the pneumatic suction disc to carry goods.
As shown in FIG. 4, the Micro850 controller is integrated with an EtherNet/IP interface, and is accessed to the SF95D-08 industrial switch 22 through a twisted pair, and data transmission between the two is carried out according to an EtherNet/IP industrial Ethernet communication protocol. The CCW programming software configures the relevant frequency converter module, so that the Micro850 controller directly controls the PowerFlex525 frequency converter, receives cargo data scanned by the FIS-0830-containing 1006G bar code scanner and uploads the data required by the cloud service layer 1 in an EtherNet/IP industrial Ethernet communication mode.
As shown in fig. 4, an RS485 interface is integrated in the Micro850 controller, and the Micro850 controller is connected to an arduino nano sensor data processor through a communication line for communication, so as to obtain real-time data of various sensors.
As shown in fig. 5, the PowerFlex525 converter obtains the control signal of the Micro850 controller through the EtherNet/IP industrial EtherNet communication to directly control the operation speed and the movement direction of the three-dimensional stacker horizontal axis three-phase asynchronous motor, wherein the mechanical structures of the three-dimensional stacker are all controlled by lead screws, that is, circular movement is converted into linear movement. In order to prevent the over-limit operation of a horizontal shaft, two V-155-1C25 limit switches are connected in series to carry out left and right limit, meanwhile, the LPD3806-360BM-G5-24C incremental photoelectric encoder is used as a feedback signal and is transmitted to a Micro850 controller to realize closed-loop control, and in addition, an EE-SX672A photoelectric sensor with a fixed position is connected to be used for calibrating an absolute position. And similarly, the PowerFlex525 frequency converter controls the running speed and the moving direction of the vertical shaft three-phase asynchronous motor of the stacker, two limit switches are connected in series for left and right limiting, an incremental photoelectric encoder is connected for closed-loop control, and a photoelectric sensor at a fixed position is connected for absolute position calibration. And similarly, the PowerFlex525 frequency converter controls the operation speed and the motion direction of the three-phase asynchronous motor of the picking and placing shaft of the stacker, two limit switches are connected in series for left and right limiting, an incremental photoelectric encoder is connected for closed-loop control, and a photoelectric sensor at a fixed position is connected for absolute position calibration.
As shown in fig. 6, the PowerFlex525 frequency converter controls the operation speed and the motion direction of the three-phase asynchronous motor of the stacker taking and placing shaft, two limit switches are connected in series for left and right limiting, an incremental photoelectric encoder is connected for closed-loop control, and a photoelectric sensor at a fixed position is connected for absolute position calibration. The Arduino Nano single chip microcomputer is used as a sensor data processor to obtain analog quantity data of the SW-18010P vibration sensor and the GP2Y02 infrared distance measuring sensor, the analog quantity data are processed into measuring data, and the measuring data are transmitted to a Micro850 controller of the data acquisition equipment through Modbus communication. The GP2Y02SW-18010P vibration sensor is arranged on the three-dimensional stacker module 31, and whether the module is in failure or is about to fail is judged according to the vibration amount change during failure. The infrared distance measuring sensor C2 is used for measuring the distance between the sensor and the goods, and whether the goods are successfully put in storage is judged through the change of the distance. The sensor data processor outputs TTL signals, and the Micro850 controller cannot directly identify the TTL signals, so that the TTL485-V2.0 level converter is accessed for level conversion, and a Modbus communication protocol is followed between the Micro850 controller and the sensor data processor.
As shown in FIG. 7, the PowerFlex525 frequency converter obtains the control signal of the Micro850 controller through EtherNet/IP industrial Ethernet communication to directly control the running speed and the moving direction of the three-phase asynchronous motor of the warehousing-out driving belt, meanwhile, the LPD3806-360BM-G5-24C incremental photoelectric encoder is used as a feedback signal to be transmitted to the Micro850 controller to realize closed-loop control, and different from the stacker, the photoelectric sensor connected to the conveying belt obtains data of circular motion, so that the EE-SX672A photoelectric sensor connected to a fixed position is used for calibrating the periodic absolute position.
As shown in fig. 7, the 872CT-NH4NP8-J10 proximity switch is fixed at the delivery position of the delivery conveyor belt, and whether the delivery of goods is successful is judged by the signal. The FIS-0830-1006G bar code scanner is a fixed one-dimensional bar code scanner, and after the bar code scanner scans the data of the bar code, the data is transmitted to the Micro850 controller through EtherNet/IP industrial Ethernet communication to perform the next data operation.
As shown in fig. 8, 3 TB6600 step drivers all adopt a common cathode connection method and are powered by a 24V dc power supply. The Q1 stepping driver is used for driving an STP-59D3012GA stepping motor with the rated current of 2A, the holding torque of 1.4N.m and the stepping angle of 1.8 degrees and is used for controlling the waist movement of the palletizing robot; the Q2 step driver is used for driving the rated current to be 2A, the holding torque is 10N.m, and the reduction ratio is 1: 5.1, a 42BYGP48 stepping speed reducing motor with a step angle of 1.8 degrees is used for controlling the motion of a driving arm of the palletizing robot; the Q3 step driver is used for driving the rated current to be 2A, the holding torque is 10N.m, and the reduction ratio is 1: and 5.18, a 42BYGP48 stepping speed reducing motor with a step angle of 1.8 degrees, and is used for controlling the link movement of the palletizing robot.
As shown in FIG. 8, 4V210-06 is a five-way two-position solenoid valve, the P port is connected with the input of the air source, the B port is connected with the output of the air source, the opening and closing of the air source are controlled by the solenoid valve coil, the 0V port is connected with the power supply 0V of the 2711C-T7T touch screen, and the 24V port is connected with the output port O-10 of the Micro850 controller. ZPT50HN/S is pneumatic suction cup, and the required air source is negative pressure, so the air source needs to be converted from positive pressure to negative pressure by a vacuum generator CV-15HS, and the pneumatic suction cup can suck the goods to realize the transportation of the goods.
As shown in fig. 8, the infrared distance measuring sensor GP2Y02 is powered by the 5V dc voltage output by the voltage reduction module LM2596, and the output of the infrared distance measuring sensor GP2Y02 is connected to the a1 port of the sensor data processor, and transmits the voltage signal to the sensor data processor for data processing.
As shown in fig. 9, the industrial switch 22SF95D-08 is a data transfer station of the data acquisition layer 2 and the device layer 3, and is a PowerFlex525 converter, a Micro850 controller, a FIS-0830-1006G bar code scanner and a field industrial personal computer for real-time ethernet data transmission.
As shown in fig. 10, the Micro850 controller is used as a data acquisition device to scan vibration quantity at regular time, perform data format conversion through the industrial gateway 21, transmit the vibration quantity to the thinworx storage unit 1212 through the Internet, store the vibration quantity in the Azure cloud server for data storage, transmit the data to the thinworx analysis unit 1211, and perform analysis and prediction through the trained data model. If the data is analyzed to be abnormal, an abnormal signal is transmitted to a thinworx writing unit 1214 to perform corresponding control operation, and the abnormal signal is stored as a typical value in the thinworx storage to retrain the data model.
As shown in fig. 11, when the barcode scanner scans the information of the goods, it is first determined whether there is a position in the warehouse, if there is no position, the goods are returned, and if there is a position, the barcode data of the goods are uploaded. The Azure cloud platform queries specific information of the entered goods in a big data barcode information base through the uploaded barcode data through a data query function, and temporarily stores the specific information of the goods in the thinworx server 121. The thinworx server 121 allocates specific bin positions for the entered goods according to the remaining bin positions, puts the entering signals into the data acquisition layer 2, and controls the system to perform entering processes. When the warehousing success sensor on the stacker detects the warehousing success, the goods information temporarily stored by the thinworx server 121 is stored in a warehouse storage table, and the number of the remaining goods is reduced by one. And if the warehousing success is not detected for a long time, sending an alarm and recording.
As shown in fig. 11, when a certain client 11 performs a warehouse-out operation, firstly, warehouse-out goods information retrieval is performed, and final warehouse-out goods are determined according to a retrieval result, the thinworx server 121 places a warehouse-out signal and a goods warehouse-out position to the data acquisition layer 2, and the control system performs a warehouse-out process. When the ex-warehouse success sensor on the conveyor belt detects that the ex-warehouse is successful, the goods information of the thinworx server 121 is cleared, and the number of the remaining goods warehouse is increased by one. If the ex-warehouse is not detected successfully for a long time, an alarm is given and recorded.
The above-mentioned embodiments are merely illustrative and not restrictive, and those skilled in the art can make modifications to the embodiments without inventive contribution as required after reading the present specification, but only protected by the patent laws within the scope of the claims.
Claims (6)
1. The utility model provides a remote automation stereoscopic warehouse monitored control system which characterized in that: including high in the clouds service layer (1), data acquisition layer (2) and equipment layer (3), high in the clouds service layer (1) includes client (11), remote server (12) and data server (13), data acquisition layer (2) includes: industry gateway (21), industry switch (22) and PLC monitoring module (23), equipment layer (3) are including stacker module (31), access library module (32), transport module (33).
2. The remote automated stereoscopic warehouse monitoring system of claim 1, wherein: the client (11) comprises a ThingWorx mixing and matching unit (1213) and secondary development of the specific client (11), the remote server (12) is realized by a ThingWorx server (121), data exchange is realized among the data acquisition layer (2), the data server (13) and the client (11) through the server, and the data server (13) adopts a Microsoft Azure cloud platform (131) to realize real-time data storage and realize data exchange with the ThingWorx server (121) and the data acquisition layer (2).
3. The remote automated stereoscopic warehouse monitoring system of claim 2, wherein: the industrial gateway (21) is ThingWorx industrial connection software, data conversion under different communication protocols is achieved, the industrial switch (22) can adopt an SF95D-08 switch as a data transfer station and is used for real-time Ethernet data transmission of a system, the PLC monitoring module (23) can adopt a Micro850 controller, the PLC monitoring module is connected with the stacker module (31), the in-out library module (32) and the carrying module (33) of the equipment layer (3), and data are transmitted to the field server, the remote server (12) and the data server (13) through the industrial gateway (21).
4. The remote automated stereoscopic warehouse monitoring system of claim 3, wherein: stacker module (31) are as the closed-loop control of feedback to three-dimensional stacker through incremental photoelectric encoder, realize that the goods is put into goods shelves and is taken out of goods shelves accurate operation, go out and go out library module (32) and acquire goods information through bar code data acquisition, realize through the control conveyer belt that the accuracy of the position of storehouse that the goods goes into stops and the accuracy of goods goes out of the warehouse stops, transport module (33) are including pile up neatly machine people, pneumatic module and infrared distance measuring sensor, pneumatic module, infrared distance measuring sensor install the end at pile up neatly machine people, realize by the goods transport between conveyer belt and the stacker through control pile up neatly machine people.
5. The remote automated stereoscopic warehouse monitoring system of claim 4, wherein: the ThingWorx server (121) comprises a ThingWorx analysis unit (1211), a ThingWorx storage unit (1212), a ThingWorx mashup unit (1213) and a ThingWorx authoring unit (1214), wherein the ThingWorx storage unit (1212) exchanges data with the ThingWorx industrial connection (211) directly or through the Internet, obtains or stores data from the Microsoft Azure cloud platform (131) through the Internet, exchanges data with the ThingWorx authoring unit (1214) and the ThingWorx analysis unit (1211), exchanges data with the ThingWorx storage unit (1212), the ThingWorx analysis unit (1211) and the designed ThingWorx mashup interface, and exchanges data with the ThingWorx storage unit (1212) and the ThingWorx authoring unit (1214).
6. The remote automated stereoscopic warehouse monitoring system of claim 5, wherein: the thinworx industrial connection (211) software may transfer data directly to a thinworx storage unit (1212) or remotely via the Internet to a thinworx storage unit (1212).
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911020987.2A CN110745450A (en) | 2019-10-25 | 2019-10-25 | Remote automation stereoscopic warehouse monitored control system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911020987.2A CN110745450A (en) | 2019-10-25 | 2019-10-25 | Remote automation stereoscopic warehouse monitored control system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110745450A true CN110745450A (en) | 2020-02-04 |
Family
ID=69279836
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911020987.2A Pending CN110745450A (en) | 2019-10-25 | 2019-10-25 | Remote automation stereoscopic warehouse monitored control system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110745450A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112388632A (en) * | 2020-10-26 | 2021-02-23 | 无锡职业技术学院 | Remote Delta robot sorting monitoring system |
| CN112611370A (en) * | 2020-11-20 | 2021-04-06 | 上海能辉科技股份有限公司 | Vehicle for carrying truck battery and positioning system thereof |
| CN116878538A (en) * | 2023-09-06 | 2023-10-13 | 南通明泰信息科技有限公司 | AGV trolley operation data acquisition system for WMS |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH08151104A (en) * | 1994-11-29 | 1996-06-11 | Hitachi Ltd | Method for controlling stocking shelf in automated warehouse |
| CN202565316U (en) * | 2012-05-16 | 2012-11-28 | 山东华兴网络科技有限公司 | Warehouse monitoring device based on internet of things |
| CN105083837A (en) * | 2015-08-13 | 2015-11-25 | 无锡普智联科高新技术有限公司 | Storage system based on cloud-structure unified platform |
| CN205589848U (en) * | 2015-12-17 | 2016-09-21 | 德阳九鼎智远知识产权运营有限公司 | Automatic stereo warehouse and control system thereof |
| CN106354142A (en) * | 2016-10-27 | 2017-01-25 | 金建荣 | Intelligent transportation system based on Internet of Things and application |
| CN106779550A (en) * | 2016-12-09 | 2017-05-31 | 贵州西南工具(集团)有限公司 | A kind of control system and method for intelligent storage equipment |
| EP2728428B1 (en) * | 2012-11-02 | 2018-09-26 | Rockwell Automation Technologies, Inc. | Cloud based drive monitoring solution |
| CN109347977A (en) * | 2018-11-21 | 2019-02-15 | 南京文采工业智能研究院有限公司 | A kind of platform of internet of things based on Thingworx |
| CN109614448A (en) * | 2018-11-09 | 2019-04-12 | 南京软智信息技术有限公司 | A kind of data warehouse management system |
-
2019
- 2019-10-25 CN CN201911020987.2A patent/CN110745450A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH08151104A (en) * | 1994-11-29 | 1996-06-11 | Hitachi Ltd | Method for controlling stocking shelf in automated warehouse |
| CN202565316U (en) * | 2012-05-16 | 2012-11-28 | 山东华兴网络科技有限公司 | Warehouse monitoring device based on internet of things |
| EP2728428B1 (en) * | 2012-11-02 | 2018-09-26 | Rockwell Automation Technologies, Inc. | Cloud based drive monitoring solution |
| CN105083837A (en) * | 2015-08-13 | 2015-11-25 | 无锡普智联科高新技术有限公司 | Storage system based on cloud-structure unified platform |
| CN205589848U (en) * | 2015-12-17 | 2016-09-21 | 德阳九鼎智远知识产权运营有限公司 | Automatic stereo warehouse and control system thereof |
| CN106354142A (en) * | 2016-10-27 | 2017-01-25 | 金建荣 | Intelligent transportation system based on Internet of Things and application |
| CN106779550A (en) * | 2016-12-09 | 2017-05-31 | 贵州西南工具(集团)有限公司 | A kind of control system and method for intelligent storage equipment |
| CN109614448A (en) * | 2018-11-09 | 2019-04-12 | 南京软智信息技术有限公司 | A kind of data warehouse management system |
| CN109347977A (en) * | 2018-11-21 | 2019-02-15 | 南京文采工业智能研究院有限公司 | A kind of platform of internet of things based on Thingworx |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112388632A (en) * | 2020-10-26 | 2021-02-23 | 无锡职业技术学院 | Remote Delta robot sorting monitoring system |
| CN112611370A (en) * | 2020-11-20 | 2021-04-06 | 上海能辉科技股份有限公司 | Vehicle for carrying truck battery and positioning system thereof |
| CN116878538A (en) * | 2023-09-06 | 2023-10-13 | 南通明泰信息科技有限公司 | AGV trolley operation data acquisition system for WMS |
| CN116878538B (en) * | 2023-09-06 | 2023-11-21 | 南通明泰信息科技有限公司 | AGV trolley operation data acquisition system for WMS |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110745450A (en) | Remote automation stereoscopic warehouse monitored control system | |
| CN207174622U (en) | Pharmaceutical warehouse goes out Input System | |
| US10625952B1 (en) | Induction station for conveying packages in storage facility | |
| CN203064612U (en) | Intelligent control system of stereo logistics system | |
| CN103631214A (en) | Industrial flexible manufacturing production line system | |
| Wang et al. | Fundamental technology for RFID-based supervisory control of shop floor production system | |
| Tamas et al. | Smart CPS: vertical integration overview and user story with a cobot | |
| Moctezuma et al. | Retrofitting a factory automation system to address market needs and societal changes | |
| CN106542249A (en) | A kind of sorting of electric power pylon, warehouse-in, storage, ex-warehouse system | |
| Bai et al. | Design and optimization of smart factory control system based on digital twin system model | |
| Karabegovic et al. | The role of smart sensors in production processes and the implementation of industry 4.0 | |
| CN110221573B (en) | Elevator logistics control system and method | |
| CN112388632A (en) | Remote Delta robot sorting monitoring system | |
| CN116384944A (en) | Execution management system and execution management method for intelligent production line of wiring cassette | |
| CN215665347U (en) | Belt feeder management system based on big data | |
| CN111144799A (en) | Intelligent distribution method for intelligent factory storage materials | |
| Soyaslan et al. | An approach of control system for automated storage and retrieval system (AS/RS) | |
| CN114513641A (en) | Three-dimensional monitoring system for intelligent factory | |
| Le et al. | Multilayer Communication-Based Controller Design for Smart Warehouse Testbed | |
| CN205873033U (en) | Electrical system in electron plate cutting saw buffer memory storehouse | |
| CN104635563A (en) | Stack machine with double-position closed-loop control system | |
| CN213873766U (en) | Industrial furnace charging control system based on Internet of things | |
| Prajapati et al. | Automatic bottle filling and capping system using plc | |
| KR20140052209A (en) | Dps indicator and digital picking system including the same | |
| Yang et al. | Design and Realization of Automatic Warehouse Based on S7-1500PLC |
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 | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200204 |
|
| RJ01 | Rejection of invention patent application after publication |