CN115190140A - Microwave data software acquisition platform - Google Patents
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- CN115190140A CN115190140A CN202210661069.3A CN202210661069A CN115190140A CN 115190140 A CN115190140 A CN 115190140A CN 202210661069 A CN202210661069 A CN 202210661069A CN 115190140 A CN115190140 A CN 115190140A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
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- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
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Abstract
The application discloses a microwave data software acquisition platform, which comprises an acquisition module, a DCS, a DCSService, a MongoDB and a local area network, wherein the acquisition module, the DCS, the DCSService and the MongoDB are connected to the local area network; the DCSService is connected with the MongoDB database and provides an interface for the DCS program, the DCS program captures parameters in the equipment through the acquisition module and calls the interface provided by the DCSService to send the interface to the MongoDB database, and the acquired parameters are stored in a distributed mode, so that field data acquisition and distributed intelligent control based on the industrial internet are achieved.
Description
Technical Field
The invention relates to the technical field of data acquisition equipment, in particular to a microwave data software acquisition platform.
Background
In the traditional data acquisition, parameter information generated in the running process of microwave equipment is picked up manually, for example, the baking temperature information of an oven is manually recorded at regular time, equipment logs are checked every day, the running time of the equipment is checked, and the productivity is calculated.
In the production process of an enterprise, in order to ensure the stability and the high efficiency of the production process, relevant data needs to be collected and monitored in real time in the production process, so that the transparent monitoring of the operation of equipment is achieved.
The microwave data software acquisition platform aims to realize field data acquisition and distributed intelligent control based on the industrial internet, realize real-time acquisition and monitoring of all field production data on a workshop level, realize complete sharing of production full-flow information on an enterprise level, continuously improve the process through deep analysis of data and form a closed loop on the information among the four parts, thereby laying a foundation for forming the integral advancement of intelligent manufacturing.
Disclosure of Invention
The invention aims to provide a microwave data software acquisition platform to solve the existing problems in the background technology.
In order to realize the purpose, the invention adopts the following technical scheme:
a microwave data software acquisition platform comprising: the system comprises an acquisition module, a DCS, a DCSService, a MongoDB and a local area network, wherein the acquisition module, the DCS, the DCSService and the MongoDB are connected to the local area network; the DCSService is connected with the MongoDB database and provides an interface for the DCS program, the DCS program captures parameters in the equipment through the acquisition module and calls the interface provided by the DCSService to send the parameters to the MongoDB database, and the acquired parameters are stored in a distributed mode.
Preferably, the acquisition module comprises modbus tcp, serial port communication, database acquisition, PLC acquisition, log acquisition, lighthouse state acquisition and other modes.
Preferably, the collection scheme of the log collection is as follows: based on PC end equipment, the equipment is connected with a network, a folder is shared, a file is analyzed, and data are uploaded to a database.
Preferably, the specific scheme of log collection is as follows: based on PC end equipment, the equipment can record results in a log or detection report mode, after the equipment is connected with a network, the file folder of the log is shared, the file folder is monitored through the DCS program, if the log is generated in the file folder or the content of the log changes, a DCS program monitoring event is triggered, and then the file is analyzed and the data is uploaded to a database.
Preferably, the scheme of the database acquisition is as follows: connecting the equipment to be acquired with a network, acquiring database reading rights of the equipment, regularly reading parameter information in the database, and sending the parameter information to the database through an interface.
Preferably, the specific scheme of the database acquisition is as follows: part of the equipment comprises a PC host, and the equipment stores data into an equipment server local database; connecting the equipment with a network, acquiring the database reading right, reading the database at corresponding time intervals basically, and sending the data read in the equipment server database to a MongoDB database of a DCS (distributed control system) data server through an interface.
Preferably, the database reading can also directly adjust the database reading frequency in the local configuration of the DCS program according to actual conditions.
Preferably, the local database comprises an access database, a mysql database and a sqlserver database.
Preferably, the scheme for acquiring the lighthouse state is as follows: and adding lighthouse signals of IO-box acquisition equipment to the equipment with the three-color lamp, and reading the IO-box internal module at intervals of corresponding time each time.
Preferably, the specific scheme of the lighthouse state acquisition is as follows: adding an IO-box acquisition device to the existing equipment with the three-color lamp, connecting the red, green and yellow corresponding electric wires in the three-color lamp on the equipment to the IO-box acquisition device, reading the IO-box internal module at intervals by a DCS program according to an IO-box equipment communication protocol, and obtaining the state of the equipment three-color lamp, namely the running state of the equipment.
Compared with the prior art, the invention has the beneficial effects that:
the industrial internet-based field data acquisition and distributed intelligent control can be realized, the real-time acquisition and monitoring of all field production data are realized on a workshop level, the complete sharing of the production full-flow information is realized on an enterprise level, the process is continuously improved through the deep analysis of the data, and the information among the four parts forms a closed loop, so that the foundation is laid for the integral advancement of intelligent manufacturing.
Drawings
The accompanying drawings, which form a part of the present application, are included to provide a further understanding of the present application, and the description and illustrative embodiments of the present application are provided to explain the present application and not to limit the present application. In the drawings:
FIG. 1 is a simplified diagram of a network framework of the present invention;
FIG. 2 is a flow chart of log collection according to the present invention;
FIG. 3 is a flow chart of database collection according to the present invention;
FIG. 4 is a flowchart of a lighthouse status acquisition of the present invention;
FIG. 5 is a data diagram of an embodiment of the present invention;
FIG. 6 is a diagram of the apparatus of the present invention;
FIG. 7 is an IO-box diagram of the present invention.
Detailed Description
In order to make the objects, technical solutions and effects of the present invention clearer and clearer, the present invention is further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are merely illustrative of the invention and do not limit the invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order, it being understood that the data so used may be interchanged under appropriate circumstances. Furthermore, the terms "comprises," "comprising," and any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Please refer to fig. 1-7.
Example 1
The acquisition platform comprises an acquisition module, a DCS, a DCSService, a MongoDB and a local area network, wherein the acquisition module, the DCS, the DCSService and the MongoDB are connected into the local area network; the DCSService is connected with the MongoDB database and provides an interface for the DCS program, the DCS program captures parameters in the equipment through the acquisition module and calls the interface provided by the DCSService, the interface is sent to the MongoDB database, the acquired parameters are stored in a distributed mode, for example, two parameters of temperature and humidity of the oven equipment are acquired, the two parameters are stored in the database in an independent Json file format, and the two groups of data are not strongly correlated. As shown in fig. 5.
The log collection scheme specifically comprises the following steps: the method comprises the steps that the PC-based devices can record results in a log or detection report mode, share a folder of the log after being connected with a network, call monitoring files provided by a Windows-based system through a DCS program to monitor the state of the folder, trigger a DCS program monitoring event if the log is generated in the folder or the content of the log changes, and then analyze the file and upload the data to a database.
For example: after the tensile machine device detects a product, a log file is generated under a local folder, the log file records parameters used in the detection process and detection result lamp data, and when the log file is generated, the interior of the Windows system triggers a DCS program to monitor events. The DCS program then collects logs.
Example 2
The acquisition platform comprises an acquisition module, a DCS, a DCSService, a MongoDB and a local area network, wherein the acquisition module, the DCS, the DCSService and the MongoDB are connected into the local area network; the DCSService is connected with the MongoDB database and provides an interface for the DCS program, the DCS program captures parameters in the equipment through the acquisition module and calls the interface provided by the DCSService, the interface is sent to the MongoDB database, the acquired parameters are stored in a distributed mode, for example, two parameters of temperature and humidity of the oven equipment are acquired, the two parameters are stored in the database in an independent Json file format, and the two groups of data are not strongly correlated. As shown in fig. 5.
The specific scheme of the database acquisition is as follows: some devices include a PC host, and store data in a local database of a device server, wherein the database comprises an access database, a mysql database, a sqlserver database and the like; and after the network is connected, acquiring database reading rights, reading the database at intervals of 1 minute basically, but also directly adjusting the database reading frequency in the local configuration of the DCS program according to the actual condition, and sending the data read in the equipment server database to the MongoDB database of the DCS data server through an interface.
Example 3
The acquisition platform comprises an acquisition module, a DCS, a DCSService, a MongoDB and a local area network, wherein the acquisition module, the DCS, the DCSService and the MongoDB are connected into the local area network; the DCSService is connected with the MongoDB database and provides an interface for the DCS program, the DCS program captures parameters in the equipment through the acquisition module and calls the interface provided by the DCSService, the interface is sent to the MongoDB database, the acquired parameters are stored in a distributed mode, for example, two parameters of temperature and humidity of the oven equipment are acquired, the two parameters are stored in the database in an independent Json file format, and the two groups of data are not strongly correlated. As shown in fig. 5.
The specific scheme for collecting the lighthouse state is as follows: for the existing equipment with the three-color lamp (such as an equipment diagram shown in figure 6), an IO-Box acquisition device (such as an IO-Box diagram shown in figure 7) is added, the red, green and yellow corresponding wires in the three-color lamp on the equipment are connected to the IO-Box acquisition device, and the DCS program reads the IO-Box internal module at intervals of 5 seconds every time according to the IO-Box communication protocol, so that the state of the three-color lamp of the equipment, namely the running state of the equipment can be obtained.
The invention can realize the field data acquisition and the distributed intelligent control based on the industrial internet, realize the real-time acquisition and the monitoring of all the field production data at the workshop level, realize the complete sharing of the production whole flow information at the enterprise level, continuously improve the process through the deep analysis of the data and form a closed loop on the information among the four parts, thereby laying the foundation for forming the integral advancement of the intelligent manufacturing.
While the invention has been described in further detail in connection with specific embodiments thereof, it will be understood that the invention is not limited thereto, and that various other modifications and substitutions may be made by those skilled in the art without departing from the spirit of the invention, which should be considered to be within the scope of the invention as defined by the appended claims.
Claims (10)
1. The microwave data software acquisition platform comprises an acquisition module, a DCS, a DCSService, a MongoDB and a local area network, and is characterized in that: the acquisition module, the DCS, the DCSService and the MongoDB are connected to a local area network; the DCSService is connected with the MongoDB database and provides an interface for the DCS program, the DCS program captures parameters in the equipment through the acquisition module and calls the interface provided by the DCSService to send the parameters to the MongoDB database, and the acquired parameters are stored in a distributed mode.
2. The microwave data software acquisition platform according to claim 1, wherein: the acquisition module comprises modbus tcp, serial port communication, database acquisition, PLC acquisition, log acquisition and lighthouse state acquisition modes.
3. The microwave data software acquisition platform according to claim 2, wherein: the collection scheme of the log collection is as follows: based on PC end equipment, the equipment is connected with a network, a folder is shared, a file is analyzed, and data are uploaded to a database.
4. The microwave data software acquisition platform according to claim 3, wherein: the specific scheme of log collection is as follows: based on PC end equipment, the equipment can record results in a log or detection report mode, after the equipment is connected with a network, the file folder of the log is shared, the file folder is monitored through the DCS program, if the log is generated in the file folder or the content of the log changes, a DCS program monitoring event is triggered, and then the file is analyzed and the data is uploaded to a database.
5. The microwave data software acquisition platform according to claim 2, wherein: the scheme of the database acquisition is as follows: connecting the equipment to be acquired with a network, acquiring database reading rights of the equipment, regularly reading parameter information in the database, and sending the parameter information to the database through an interface.
6. The microwave data software acquisition platform of claim 5, wherein: the specific scheme of the database acquisition is as follows: part of the equipment comprises a PC host, and the equipment stores data into a local database of an equipment server; connecting the equipment with a network, acquiring the database reading right, reading the database at intervals of corresponding time, and sending the data read in the equipment server database to the MongoDB database of the DCS through an interface.
7. The microwave data software acquisition platform of claim 6, wherein: the database reading can also be directly adjusted in the local configuration of the DCS program according to the actual situation.
8. The microwave data software acquisition platform according to claim 6, wherein: the local database includes an access database, a mysql database, and a sqlserver database.
9. The microwave data software acquisition platform according to claim 2, wherein: the scheme for collecting the lighthouse state comprises the following steps: and adding lighthouse signals of IO-box acquisition equipment to the equipment with the three-color lamp, and reading the IO-box internal module at intervals of corresponding time each time.
10. The microwave data software acquisition platform according to claim 9, wherein: the specific scheme for collecting the lighthouse state is as follows: adding an IO-box acquisition device to the existing equipment with the three-color lamp, connecting the red, green and yellow corresponding electric wires in the three-color lamp on the equipment to the IO-box acquisition device, reading the IO-box internal module at intervals by a DCS program according to an IO-box equipment communication protocol, and obtaining the state of the equipment three-color lamp, namely the running state of the equipment.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202210661069.3A CN115190140A (en) | 2022-06-12 | 2022-06-12 | Microwave data software acquisition platform |
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| CN202210661069.3A CN115190140A (en) | 2022-06-12 | 2022-06-12 | Microwave data software acquisition platform |
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2007522658A (en) * | 2004-02-06 | 2007-08-09 | テスト アドバンテージ， インコーポレイテッド | Data analysis method and apparatus |
| CN106933207A (en) * | 2015-10-09 | 2017-07-07 | 费希尔-罗斯蒙特系统公司 | For the data analysis service of distributed industrial performance monitoring |
| US20170371074A1 (en) * | 2016-06-24 | 2017-12-28 | Climacell Inc. | Real-Time Precipitation Forecasting System |
| US20200067789A1 (en) * | 2016-06-24 | 2020-02-27 | QiO Technologies Ltd. | Systems and methods for distributed systemic anticipatory industrial asset intelligence |
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- 2022-06-12 CN CN202210661069.3A patent/CN115190140A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2007522658A (en) * | 2004-02-06 | 2007-08-09 | テスト アドバンテージ， インコーポレイテッド | Data analysis method and apparatus |
| CN106933207A (en) * | 2015-10-09 | 2017-07-07 | 费希尔-罗斯蒙特系统公司 | For the data analysis service of distributed industrial performance monitoring |
| US20170371074A1 (en) * | 2016-06-24 | 2017-12-28 | Climacell Inc. | Real-Time Precipitation Forecasting System |
| US20200067789A1 (en) * | 2016-06-24 | 2020-02-27 | QiO Technologies Ltd. | Systems and methods for distributed systemic anticipatory industrial asset intelligence |
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