CN111176233A - Distributed data acquisition method - Google Patents
Distributed data acquisition method Download PDFInfo
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- CN111176233A CN111176233A CN201911389473.4A CN201911389473A CN111176233A CN 111176233 A CN111176233 A CN 111176233A CN 201911389473 A CN201911389473 A CN 201911389473A CN 111176233 A CN111176233 A CN 111176233A
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
- G05B19/4183—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM] characterised by data acquisition, e.g. workpiece identification
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/31—From computer integrated manufacturing till monitoring
- G05B2219/31282—Data acquisition, BDE MDE
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Abstract
The invention discloses a distributed data acquisition method, which specifically comprises the following steps: s1: distributing a plurality of acquisition nodes in an area where the acquisition nodes need to be distributed; s2: deploying a plurality of acquisition nodes; s3: the acquisition node acquires equipment data required to be acquired in the area; s4: if one of the collection nodes fails, the comprehensive management platform monitors the abnormality; s5: sending alarm information by the comprehensive management platform; s6: monitoring a fault acquisition node by the comprehensive management platform, and selecting other acquisition nodes and/or data acquisition devices to replace the acquisition node for data acquisition; s7: after the fault collection node is repaired, the previous collection node is still adopted to continue collecting data through the comprehensive management platform; s8: the recovered collection nodes automatically synchronize previously unsynchronized collected data. According to the invention, through a distributed deployment and acquisition mode, the requirement of real-time acquisition and rapid processing of production data in the modern assembly manufacturing industry is met, the production assembly efficiency is improved, and the enterprise cost investment is reduced.
Description
Technical Field
The invention particularly relates to a data acquisition method based on distribution.
Background
After industrial production and manufacturing enterprises are increasingly popularized in informationization and industrial development completely covers the concept of industrial 4.0, more and more enterprises pay more attention to digital production, the core idea of industrial 4.0 is data acquisition and data analysis, the conventional data centralized data acquisition mode is often only capable of meeting the basic requirements of data acquisition, and the data acquisition performance and safety guarantee are often incapable of meeting the highest standards of the enterprises. During the execution of a traditional data acquisition mode, after the system runs for a long time, the acquisition efficiency is often reduced, the acquisition error rate is increased, the acquisition stability is reduced, the finally generated acquired data is lost, the acquired data is wrong, the production line is suspended for production due to the downtime of a server, and very important quality accidents and quality loss are brought to enterprises.
At present, in an industrial production Manufacturing enterprise, most common systems applying a data acquisition System, such as Manufacturing Execution System (MES), mostly adopt a traditional centralized data acquisition mode, and although the data acquisition mode can meet the acquisition requirements of a general enterprise, if the number of production line stations is large, the data acquisition frequency is high, and the number of signals interacting with equipment is too many, a lot of major quality loss accidents occur. The existing data acquisition scheme of a general MES system comprises the following steps:
1) and the whole line is acquired by using a data acquisition server deployment program.
2) And data are collected in real time and uploaded to a main server database in real time without local data caching.
3) Data collection and other data verification logics, material verification logics, data collection and production guidance data analysis are intensively deployed.
4) The updating of the data acquisition version is uniformly issued by the server, the logic of the data acquisition mode diagram of each station must be uniformly closed, and the data acquisition function is uniformly started.
The drawbacks of these solutions are mainly concentrated on:
1) poor stability: the data acquisition server has overlarge pressure, and when the production line has too many stations, too high interaction frequency and more data acquisition quantity, quality accidents such as data acquisition loss, data acquisition errors and the like occur.
2) The rationality is poor: the data acquisition server is too stressed to use load balance, the data acquisition quantity of certain areas is small, interaction is not frequent, the data acquisition quantity of certain areas is too high, interaction is too frequent, and a database service acquisition system does not reasonably allocate resources to different acquisition areas.
3) The timeliness is poor: the real-time data acquisition of the database, when the data acquisition server is shut down, the production line can not continue to produce, and the production line is stopped to produce huge loss.
4) Poor safety: the database is over-stressed, the data server and the acquisition service area system share one set of server, the data can ensure real-time performance, but ultrahigh acquisition stability and accuracy cannot be achieved.
5) Poor flexibility: when part of stations of the production line need to be readjusted, as long as the logic change of the collected data of one station is related, all the stations need to stop production, the data collection service is closed, and the production task can be continuously completed after the adjustment is completed.
Disclosure of Invention
In order to solve the technical problem, the invention provides a data acquisition method based on distribution.
In order to achieve the purpose, the technical scheme of the invention is as follows:
the data acquisition method based on the distribution specifically comprises the following steps:
s1: distributing a plurality of acquisition nodes in an area where the acquisition nodes need to be distributed;
s2: deploying a plurality of acquisition nodes, configuring station information required to be acquired by the acquisition nodes, and automatically reporting deployment information to a comprehensive management platform;
s3: the acquisition node acquires equipment data required to be acquired in the area, and a server of the acquisition node stores the data acquired in the area and synchronizes the cached data to the comprehensive management platform for uniform analysis and processing;
s4: if one of the collection nodes fails, the comprehensive management platform monitors the abnormality;
s5: the comprehensive management platform sends alarm information to remind maintenance personnel to process related information in time;
s6: monitoring a fault acquisition node by the comprehensive management platform, and selecting other acquisition nodes and/or data acquisition devices to replace the acquisition node for data acquisition;
s7: after the maintenance personnel repair the fault collection node, the previous collection node is still adopted to continue collecting data through the comprehensive management platform;
s8: and the recovered acquisition nodes automatically synchronize the previously unsynchronized acquisition data through the comprehensive management platform.
The invention provides a high-reliability distributed-based data acquisition method, which can quickly acquire a large amount of data in real time, realize load balance to a certain extent, ensure the integrity of production data, meet the requirement of real-time acquisition and quick processing of production data in the modern assembly manufacturing industry through a distributed deployment acquisition mode, improve the production assembly efficiency and reduce the enterprise cost investment.
On the basis of the technical scheme, the following improvements can be made:
preferably, in step S5, the integrated management platform notifies the alarm information in a form of voice and visualization in time and displays the alarm content to remind the maintenance personnel to process the relevant information in time.
By adopting the preferable scheme, maintenance personnel can timely process the fault acquisition node.
As a preferred scheme, in step S6, all the devices to be acquired under the failed node are migrated to the optimal available acquisition node through the optimal path algorithm and the load balancing algorithm, and the optimal acquisition node is used as a temporary acquisition node to acquire all the devices under the failed acquisition node.
By adopting the preferable scheme, the optimal available acquisition node is obtained.
As a preferable scheme, in step S6, the integrated management platform automatically performs area acquisition node sorting according to the network conditions of the acquisition nodes and/or the pressure states of the servers, so as to select an optimal acquisition node, which is used as a temporary acquisition node to acquire all devices under a failed acquisition node.
By adopting the preferable scheme, the optimal available acquisition node is obtained.
Preferably, in step S6, the temporary collection node directly sends the collected data of all devices under the failure collection node to the integrated management platform without caching the collected data.
By adopting the preferable scheme, the stability of the temporary acquisition node is ensured, and overload operation is avoided.
Preferably, when the data transmission is wireless transmission, in step S1, the acquisition node is established by the following method:
1) a user logs in a comprehensive management platform;
2) a user observes all addresses of equipment to be collected in an area S where a collection node needs to be established on a comprehensive management platform;
3) finding a minimum area A containing all equipment addresses to be acquired by using an area division module of the comprehensive management platform, carrying out n-level division on the minimum area A, and dividing the minimum area into n +1 sub-areas;
4) finding a center point of each sub-region;
5)n＝0；
6) the user holds the data receiving device to reach the central point of the sub-area after the n-level division, and observes whether the data of all the equipment to be acquired in the sub-area can be acquired,
if yes, establishing the acquisition node at the central point of the sub-region after the n-level division;
if not, repeating the step 6) after n is added with one;
7) finding out the central point of a sub-region which can acquire all the data of the equipment to be acquired in the region S, wherein the sub-region is the acquisition node primary establishing region B, and the central point of the sub-region is the acquisition node primary establishing point B.
By adopting the preferable scheme, the building position of the acquisition node is reasonably selected.
As a preferable scheme, in step S1, the method for establishing a collection node further includes:
8) if the ideal range C of the data receiving device is larger than the initial station building area B of the acquisition node, the data receiving device does not act;
and if the ideal meter reading range C of the data receiving device is smaller than the initial establishing area B of the acquisition node, establishing the acquisition node at the boundary position of the initial establishing area of the adjacent acquisition node.
By adopting the preferable scheme, the data sent by all the devices in the area S where the acquisition node needs to be established can be received by the acquisition node.
As a preferred scheme, when data transmission is wireless transmission, after the acquisition nodes are established by the above method, if one of the acquisition nodes fails, the data receiving device is temporarily arranged at the position of the failed acquisition node.
By adopting the preferable scheme, the data of the equipment under the fault acquisition node can be effectively acquired.
Drawings
Fig. 1 is a block diagram of a distributed data acquisition method according to an embodiment of the present invention.
Fig. 2 is a second frame diagram of the distributed data acquisition method according to the embodiment of the present invention.
Fig. 3 is an architecture diagram of a distributed data acquisition method according to an embodiment of the present invention.
Fig. 4 is one of schematic diagrams of dividing each area in the acquisition node address selection method according to the embodiment of the present invention.
Fig. 5 is a second schematic diagram illustrating division of each area in the acquisition node address selection method according to the embodiment of the present invention.
Detailed Description
Preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
In order to achieve the object of the present invention, in some embodiments of the distributed data acquisition method, as shown in fig. 1 and 2, the distributed data acquisition method specifically includes the following steps:
s1: distributing a plurality of acquisition nodes in an area where the acquisition nodes need to be distributed;
s2: deploying a plurality of acquisition nodes, configuring station information required to be acquired by the acquisition nodes, and automatically reporting deployment information to a comprehensive management platform;
s3: the acquisition node acquires equipment data required to be acquired in the area, and a server of the acquisition node stores the data acquired in the area and synchronizes the cached data to the comprehensive management platform for uniform analysis and processing;
s4: if one of the collection nodes fails, the comprehensive management platform monitors the abnormality;
s5: the comprehensive management platform sends alarm information to remind maintenance personnel to process related information in time;
s6: monitoring a fault acquisition node by the comprehensive management platform, and selecting other acquisition nodes and/or data acquisition devices to replace the acquisition node for data acquisition;
s7: after the maintenance personnel repair the fault collection node, the previous collection node is still adopted to continue collecting data through the comprehensive management platform;
s8: and the recovered acquisition nodes automatically synchronize the previously unsynchronized acquisition data through the comprehensive management platform.
The invention provides a high-reliability distributed-based data acquisition method, which can quickly acquire a large amount of data in real time, realize load balance to a certain extent, ensure the integrity of production data, meet the requirement of real-time acquisition and quick processing of production data in the modern assembly manufacturing industry through a distributed deployment acquisition mode, improve the production assembly efficiency and reduce the enterprise cost investment.
In the embodiment of the invention, a traditional data acquisition method is replaced by the establishment of a distributed data acquisition model and an automatic fault switching model, so that the production efficiency of production and assembly is improved, the integrity of data is ensured, high-reliability data acquisition is really realized, and the uninterrupted production requirement in the process of modern assembly and manufacturing industry is met; actually, the production management cost of enterprises is reduced.
In order to further optimize the implementation effect of the present invention, in other embodiments, other features are the same, except that in step S5, the integrated management platform notifies and displays the alarm content in a voice and visual manner, so as to remind the maintenance personnel to process the relevant information in time.
By adopting the preferable scheme, maintenance personnel can timely process the fault acquisition node.
In order to further optimize the implementation effect of the present invention, in other embodiments, the remaining features are the same, except that in step S6, all the devices to be collected under the failed node are migrated to the optimal available collection node through the optimal path algorithm and the load balancing algorithm, and the optimal collection node is used as the temporary collection node to collect all the devices under the failed collection node.
By adopting the preferable scheme, the optimal available acquisition node is obtained.
In order to further optimize the implementation effect of the present invention, in other embodiments, the remaining features are the same, except that in step S6, the integrated management platform automatically performs the sorting of the regional collection nodes according to the network conditions of the collection nodes and/or the pressure state of the server, so as to select an optimal collection node, which is used as a temporary collection node to collect all devices under the failed collection node.
By adopting the preferable scheme, the optimal available acquisition node is obtained.
In order to further optimize the implementation of the invention, in other embodiments, the remaining features are the same, except that,
in step S6, the temporary collection node directly sends the collected data of all devices under the failure collection node to the integrated management platform without caching.
By adopting the preferable scheme, the stability of the temporary acquisition node is ensured, and overload operation is avoided.
As shown in fig. 3, an architecture diagram of a distributed high-reliability data acquisition method.
The system is divided into four levels in a design architecture, namely an equipment layer, an acquisition layer, a decision layer and an application layer.
Each level depends on the management of the previous level.
When the node of the equipment layer fails, the application layer alarms to remind maintenance personnel to carry out maintenance processing because only a single device fails, and the system cannot carry out further processing; when the acquisition layer node fails, the comprehensive management layer can automatically evaluate the failure acquisition layer node to other optimal solution points by the system to perform abnormal fault tolerance processing, and the replaced node is temporarily used as an acquisition server of the current failure node and informs maintenance personnel to perform maintenance; when the integrated management platform fails, the system is automatically switched to a standby integrated server platform, and an application layer can give an emergency alarm to remind maintenance personnel to carry out on-site maintenance. Because the temporary replacement strategy of the system uses the data of the backup database as the operation data of the abnormal server, and the whole operation data volume of the area equipment is far larger than the data volume of the single area, the replacement strategy cannot be equal to the normal node processing speed in the processing speed, and the normal node needs to be restored immediately after the system is maintained and has a fault, so that the normal production is restored.
In order to further optimize the implementation of the invention, in other embodiments, the remaining features are the same, except that,
when the data transmission is wireless transmission, in step S1, the collection node is established by the following method:
1) a user logs in a comprehensive management platform;
2) a user observes all addresses of equipment to be collected in an area S where a collection node needs to be established on a comprehensive management platform;
3) finding a minimum area A containing all equipment addresses to be acquired by using an area division module of the comprehensive management platform, carrying out n-level division on the minimum area A, and dividing the minimum area into n +1 sub-areas;
4) finding a center point of each sub-region;
5)n＝0；
6) the user holds the data receiving device to reach the central point of the sub-area after the n-level division, and observes whether the data of all the equipment to be acquired in the sub-area can be acquired,
if yes, establishing the acquisition node at the central point of the sub-region after the n-level division;
if not, repeating the step 6) after n is added with one;
7) finding out the central point of a sub-region which can acquire all the data of the equipment to be acquired in the region S, wherein the sub-region is the acquisition node primary establishing region B, and the central point of the sub-region is the acquisition node primary establishing point B.
By adopting the preferable scheme, the building position of the acquisition node is reasonably selected.
As shown in fig. 4, 1-13 are table end positions, S is an area where an acquisition node needs to be established, and a is a minimum area containing all device addresses that need to be acquired. After the test, the grade 0 division and the grade 1 division are not performed, at least 2 grades of division are needed, the minimum area is divided into 3 sub-areas B, the sub-areas are the acquisition node primary establishment areas B, and the central points of the sub-areas are the acquisition node primary establishment points B.
Further, in step S1, the method for establishing a collection node further includes:
8) if the ideal range C of the data receiving device is larger than the initial station building area B of the acquisition node, the data receiving device does not act;
and if the ideal meter reading range C of the data receiving device is smaller than the initial establishing area B of the acquisition node, establishing the acquisition node at the boundary position of the initial establishing area of the adjacent acquisition node.
By adopting the preferable scheme, the data sent by all the devices in the area S where the acquisition node needs to be established can be received by the acquisition node. As shown in fig. 5, compared with fig. 4, two collection node preliminary establishment points b are added.
Further, when the data transmission is wireless transmission, after the acquisition nodes are established by the method, if one of the acquisition nodes fails, the data receiving device is temporarily arranged at the position of the failed acquisition node.
By adopting the preferable scheme, the data of the equipment under the fault acquisition node can be effectively acquired.
With respect to the preferred embodiments of the present invention, it should be noted that, for those skilled in the art, various changes and modifications can be made without departing from the inventive concept of the present invention, and these changes and modifications are within the scope of the present invention.
Claims (8)
1. The data acquisition method based on the distribution type is characterized by comprising the following steps:
s1: distributing a plurality of acquisition nodes in an area where the acquisition nodes need to be distributed;
s2: deploying a plurality of acquisition nodes, configuring station information required to be acquired by the acquisition nodes, and automatically reporting deployment information to a comprehensive management platform;
s3: the acquisition node acquires equipment data required to be acquired in the area, and a server of the acquisition node stores the data acquired in the area and synchronizes the cached data to the comprehensive management platform for uniform analysis and processing;
s4: if one of the collection nodes fails, the comprehensive management platform monitors the abnormality;
s5: the comprehensive management platform sends alarm information to remind maintenance personnel to process related information in time;
s6: monitoring a fault acquisition node by the comprehensive management platform, and selecting other acquisition nodes and/or data acquisition devices to replace the acquisition node for data acquisition;
s7: after the maintenance personnel repair the fault collection node, the previous collection node is still adopted to continue collecting data through the comprehensive management platform;
s8: and the recovered acquisition nodes automatically synchronize the previously unsynchronized acquisition data through the comprehensive management platform.
2. The distributed data collection method according to claim 1, wherein in step S5, the integrated management platform notifies and displays the alarm information in a form of voice and visualization in time, and reminds maintenance personnel to process relevant information in time.
3. The distributed data collection method according to claim 1, wherein in step S6, all devices to be collected under the failed node are migrated to an optimal available collection node through an optimal path algorithm and a load balancing algorithm, and the optimal collection node is used as a temporary collection node to collect all devices under the failed collection node.
4. The distributed data collection method according to claim 3, wherein in step S6, the integrated management platform automatically performs area collection node sorting according to the network conditions of collection nodes and/or the pressure status of servers, so as to select an optimal collection node, which is used as a temporary collection node to collect all devices under a failed collection node.
5. The distributed data collection method according to claim 4, wherein in step S6, the temporary collection node directly sends the collected data of all devices under the failed collection node to the integrated management platform without caching the collected data.
6. The distribution-based data collection method according to any one of claims 1 to 5, wherein when the data transmission is wireless transmission, the collection node is established in step S1 by:
1) a user logs in a comprehensive management platform;
2) a user observes all addresses of equipment to be collected in an area S where a collection node needs to be established on a comprehensive management platform;
3) finding a minimum area A containing all equipment addresses to be acquired by using an area division module of the comprehensive management platform, carrying out n-level division on the minimum area A, and dividing the minimum area into n +1 sub-areas;
4) finding a center point of each sub-region;
5)n＝0；
6) the user holds the data receiving device to reach the central point of the sub-area after the n-level division, and observes whether the data of all the equipment to be acquired in the sub-area can be acquired,
if yes, establishing the acquisition node at the central point of the sub-region after the n-level division;
if not, repeating the step 6) after n is added with one;
7) finding out the central point of a sub-region which can acquire all the data of the equipment to be acquired in the region S, wherein the sub-region is the acquisition node primary establishing region B, and the central point of the sub-region is the acquisition node primary establishing point B.
7. The distributed data acquisition method according to claim 6, wherein in step S1, the method for establishing the acquisition node further comprises:
8) if the ideal range C of the data receiving device is larger than the initial station building area B of the acquisition node, the data receiving device does not act;
and if the ideal meter reading range C of the data receiving device is smaller than the initial establishing area B of the acquisition node, establishing the acquisition node at the boundary position of the initial establishing area of the adjacent acquisition node.
8. The distributed data acquisition method according to claim 7, wherein when the data transmission is wireless transmission, after the acquisition nodes are established by the method, if one of the acquisition nodes fails, the data receiving device is temporarily placed at the position of the failed acquisition node.
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