CN111090265A - Industrial monitoring system based on big data and work flow thereof - Google Patents
Industrial monitoring system based on big data and work flow thereof Download PDFInfo
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- CN111090265A CN111090265A CN201910241641.9A CN201910241641A CN111090265A CN 111090265 A CN111090265 A CN 111090265A CN 201910241641 A CN201910241641 A CN 201910241641A CN 111090265 A CN111090265 A CN 111090265A
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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]
- G05B19/41875—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 quality surveillance of production
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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
- G05B2219/31439—Alarms can be warning, alert or fault
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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 an industrial monitoring system based on big data and a working process thereof, relates to the field of industrial monitoring, and aims to solve the problem of the existing industrial monitoring. This product includes data acquisition module, alarm module and treater, data acquisition module's quantity is a plurality of and a plurality of data acquisition module all links to each other with the treater, and alarm module links to each other and the treater still links to each other with power module with the treater, and the treater includes database, information transceiver module, analysis processing module and update module, and the treater passes through wireless module and links to each other with cloud ware. The data acquired by the data acquisition modules are sent to the processor for judgment, and then the judgment result is sent to the cloud server for secondary judgment, so that the accuracy of the judgment result is ensured; the invention connects the data acquisition modules with the processor, and can process the data of the data acquisition modules in a centralized way only by one processor, thereby reducing the equipment cost and improving the data processing efficiency.
Description
Technical Field
The invention relates to the field of industrial monitoring, in particular to an industrial monitoring system based on big data.
Background
The industry mainly refers to the industries or projects of raw material collection and product processing and manufacturing. The industry is a product of the social division development and passes through several development stages of handicraft industry, machine industry and modern industry.
Industries are important components of the second industry, and are mainly divided into light industries and heavy industries. The industry is the only department for producing the modern labor means, determines the speed, the scale and the level of the modernization of the national economy, and plays a leading role in the national economy of various countries in the world at the present time. The industry also provides raw materials, fuel and power for the industry and other various departments of national economy, and provides industrial consumer goods for the cultural life of human materials.
The monitoring of industrial operation relies on the control personnel to observe various data on the display screen before, along with the development of science and technology, people utilize automation control equipment to gather the data in the industrial operation, and then realize the control to the industrial operation situation, this kind of mode has reduced control personnel's quantity, but mutual independence between each equipment, each data acquisition device all needs a controller to support, use cost has been increased, and can not handle data centralized processing, this time that has just prolonged data processing, the real-time nature of control is poor, people are also carrying out the research in relevant aspect.
Disclosure of Invention
The present invention is directed to an industrial monitoring system based on big data to solve the above problems.
In order to achieve the purpose, the invention provides the following technical scheme:
an industrial monitoring system based on big data comprises a plurality of data acquisition modules, an alarm module and a processor, wherein the data acquisition modules are connected with the processor, the alarm module is connected with the processor and is also connected with a power supply module, the processor comprises a database, an information receiving and transmitting module, an analysis processing module and an updating module, the processor is connected with a cloud server through a wireless module, the data acquisition modules are used for acquiring various data of industrial operation, the alarm module is used for alarming and prompting monitoring personnel to deal with bad conditions, the database is used for storing historical data of the industrial operation and solving methods of various bad conditions, the updating module is used for updating the data in the database, the analysis processing module compares the acquired data with the data in the database to judge whether the industrial operation condition is normal or not, if the solution is normal, the solution is not given, if the solution is abnormal, the analysis processing module calls the solution from the database and sends alarm information to the alarm module, and the cloud server further judges whether the solution given by the analysis processing module is correct or not and provides data for updating the database.
As a further scheme of the invention: a buffer is also arranged between the data acquisition module and the processor, so that industrial data obtained by the data acquisition module can be queued for processing, the normal work of the processor is ensured, and data congestion is avoided.
As a further scheme of the invention: the data acquisition module includes humiture acquisition module, the image acquisition module, illuminance acquisition module, sound collection module, gas concentration acquisition module and dust particle concentration detection module, operation environment's temperature and humidity data can be gathered to humiture acquisition module, the image acquisition module can gather the image of operation situation, illuminance data that operation environment can be gathered to illuminance acquisition module, operation environment's sound data can be gathered to sound collection module, operation environment's gas concentration can be gathered to gas concentration acquisition module, the conflagration that leads to can not take place the gas leakage, operation environment's dust particle data can be gathered to dust particle concentration detection module, guarantee good operational environment.
As a further scheme of the invention: the wireless module comprises at least one of a GPRS module, an Ethernet module, a WIFI module and a wireless radio frequency module, and people select a proper communication module according to own needs.
As a further scheme of the invention: the utility model provides an industrial monitoring system based on big data, still includes mobile terminal, mobile terminal passes through wireless module and links to each other with the treater, and when analysis and processing module judged industrial operation situation and was unusual, analysis and processing module still sent information and gives the mobile terminal that monitoring personnel bound, reminds monitoring personnel to handle, and the user can also be through the historical data of mobile terminal inquiry industrial operation and the real-time situation of industrial operation, makes things convenient for monitoring personnel to know industrial operation situation.
As a further scheme of the invention: the processor also comprises verification modules, each data acquisition module has a unique identification number, the data acquisition modules send acquired data and the unique identification numbers to the processor, the verification modules verify the unique identification numbers, if the unique identification numbers are in an identification number list of the database, the data of the data acquisition modules are received, and if the unique identification numbers are not in the identification number list of the database, the data of the data acquisition modules are not adopted, so that the accuracy of data sources is ensured.
The working process of the industrial monitoring system based on the big data comprises the following specific steps:
the method comprises the following steps that firstly, a data acquisition module acquires various data of industrial operation and sends the acquired data to a processor, and an information receiving and sending module receives the acquired data;
step two, the analysis processing module compares the acquired data with data in a database to judge whether the industrial operation condition is normal, if so, a solution is not given, if so, the analysis processing module calls the solution from the database, then the analysis processing module sends the judgment result to a cloud server, the cloud server carries out secondary judgment on the judgment result, if the judgment result is found to be correct by the cloud server, the solution is not given, if the judgment result is found to be abnormal, the cloud server gives a correct judgment result and a corresponding solution, and the updating module updates the data in the database;
and step three, when the final judgment result is that the industrial operation condition is abnormal, the processor sends alarm information to the alarm module, and the alarm module works to remind monitoring personnel to process the corresponding abnormal condition.
Compared with the prior art, the invention has the beneficial effects that:
the data acquired by the data acquisition modules are sent to the processor for judgment, and then the judgment result is sent to the cloud server for secondary judgment, so that the accuracy of the judgment result is ensured;
the invention connects a plurality of data acquisition modules with the processor, and can process the data of the data acquisition modules in a centralized way only by one processor, thereby reducing the equipment cost, improving the data processing efficiency and having positive use prospect.
Drawings
Fig. 1 is a schematic structural diagram of an industrial monitoring system based on big data.
Fig. 2 is a schematic structural diagram of a wireless module in an industrial monitoring system based on big data.
Fig. 3 is a schematic structural diagram of a data acquisition module in an industrial monitoring system based on big data.
Wherein: the system comprises a data acquisition module, a 2-power supply module, a 3-alarm module, a 4-processor, a 5-wireless module, a 6-cloud server, a 7-mobile terminal, an 8-buffer, a 9-verification module, a 10-updating module, an 11-analysis processing module, a 12-database, a 13-information transceiving module, a 14-GPRS module, a 15-Ethernet module, a 16-WIFI module, a 17-wireless radio frequency module, an 18-temperature and humidity acquisition module, a 19-image acquisition module, a 20-illuminance acquisition module, a 21-sound acquisition module, a 22-gas concentration acquisition module and a 23-dust particle concentration detection module.
Detailed Description
The technical solution of the present patent will be described in further detail with reference to the following embodiments.
Example 1
An industrial monitoring system based on big data comprises a plurality of data acquisition modules 1, an alarm module 3 and a processor 4, wherein the number of the data acquisition modules 1 is multiple, the plurality of data acquisition modules 1 are all connected with the processor 4, the alarm module 3 is connected with the processor 4, the processor 4 is also connected with a power supply module 2, the processor 4 comprises a database 12, an information receiving and transmitting module 13, an analysis processing module 11 and an updating module 10, the processor 4 is connected with a cloud server 6 through a wireless module 5, the data acquisition modules 1 are used for acquiring various data of industrial operation, the alarm module 3 is used for alarming and prompting a monitoring person to deal with bad conditions, the database 12 is used for storing industrial operation historical data and solutions of various bad conditions, the updating module 10 is used for updating the data in the database 12, the analysis processing module 11 compares the acquired data with the data in the database 12, judging whether the industrial operation condition is normal or not, if so, giving no solution, if so, calling the solution from the database 12 by the analysis processing module 11 and sending alarm information to the alarm module 3, and further judging whether the solution given by the analysis processing module 11 is correct or not and providing data for updating the database 12 by the cloud server 6.
A buffer 8 is further arranged between the data acquisition module 1 and the processor 4, industrial data obtained by the data acquisition module 1 can be queued for processing, normal work of the processor 4 is guaranteed, and data congestion is avoided.
The processor 4 further comprises a verification module 9, each data acquisition module 1 has a unique identification number, the data acquisition module 1 sends acquired data and the unique identification number to the processor 4, the verification module 9 verifies the unique identification number, if the unique identification number is in an identification number list of the database 12, the data of the data acquisition module 1 is received, and if the unique identification number is not in the identification number list of the database 12, the data of the data acquisition module 1 is not adopted, so that the accuracy of a data source is ensured.
The working process of the industrial monitoring system based on the big data comprises the following specific steps:
step one, a data acquisition module 1 acquires various data of industrial operation and sends the acquired data to a processor 4, when a plurality of data acquisition modules 1 send data at the same time, an information transceiver module 13 receives the acquired data, in order to avoid data congestion, part of the data acquired by the data acquisition modules 1 is sent to a buffer 8 and then sent to the information transceiver module 13, a verification module 9 verifies a unique identification number, if the unique identification number is in an identification number list of a database 12, the data of the data acquisition module 1 is received, and if the unique identification number is not in the identification number list of the database 12, the data of the data acquisition module 1 is not adopted;
step two, the analysis processing module 11 compares the collected data with data in the database 12 to judge whether the industrial operation condition is normal, if so, no solution is given, if so, the analysis processing module 11 calls the solution from the database 12, the analysis processing module 11 sends the judgment result to the cloud server 6, the cloud server 6 carries out secondary judgment on the judgment result, if the cloud server 6 finds that the judgment result is correct, the solution is not given, if the judgment result is abnormal, the cloud server 6 gives a correct judgment result and a corresponding solution, and at the moment, the updating module 10 updates the data in the database 12 according to the abnormality of the judgment result;
and step three, when the final judgment result is that the industrial operation condition is abnormal, the processor 4 sends alarm information to the alarm module 3, and the alarm module 3 sends an alarm and gives a text alarm prompt to remind a monitoring person to process the corresponding abnormal condition.
Example 2
An industrial monitoring system based on big data comprises a plurality of data acquisition modules 1, an alarm module 3 and a processor 4, wherein the number of the data acquisition modules 1 is multiple, the plurality of data acquisition modules 1 are all connected with the processor 4, the alarm module 3 is connected with the processor 4, the processor 4 is also connected with a power supply module 2, the processor 4 comprises a database 12, an information receiving and transmitting module 13, an analysis processing module 11 and an updating module 10, the processor 4 is connected with a cloud server 6 through a wireless module 5, the data acquisition modules 1 are used for acquiring various data of industrial operation, the alarm module 3 is used for alarming and prompting a monitoring person to deal with bad conditions, the database 12 is used for storing industrial operation historical data and solutions of various bad conditions, the updating module 10 is used for updating the data in the database 12, the analysis processing module 11 compares the acquired data with the data in the database 12, judging whether the industrial operation condition is normal or not, if so, giving no solution, if so, calling the solution from the database 12 by the analysis processing module 11 and sending alarm information to the alarm module 3, and further judging whether the solution given by the analysis processing module 11 is correct or not and providing data for updating the database 12 by the cloud server 6.
The wireless module 5 comprises at least one of a GPRS module 14, an ethernet module 15, a WIFI module 16 and a radio frequency module 17, and people select a proper communication module according to their needs.
The utility model provides an industrial monitoring system based on big data, still includes mobile terminal 7, mobile terminal 7 passes through wireless module 5 and links to each other with treater 4, when analysis and processing module 11 judges industrial operation situation and is unusual, analysis and processing module 11 still sends information and gives monitoring personnel's mobile terminal 7 of binding, remind monitoring personnel to handle, the user can also inquire industrial operation's historical data and industrial operation's real-time situation through mobile terminal 7, make things convenient for monitoring personnel to know industrial operation situation.
The working process of the industrial monitoring system based on the big data comprises the following specific steps:
step one, a temperature and humidity acquisition module 18, an image acquisition module 19, a illuminance acquisition module 20, a sound acquisition module 21, a gas concentration acquisition module 22, a dust particle concentration detection module 23 and other data acquisition modules 1 acquire various data of industrial operation and send the acquired data to a processor 4, and an information transceiver module 13 receives the acquired data;
step two, the analysis processing module 11 compares the collected data with data in the database 12 to judge whether the industrial operation condition is normal, if so, no solution is given, if so, the analysis processing module 11 calls the solution from the database 12, the analysis processing module 11 sends the judgment result to the cloud server 6, the cloud server 6 carries out secondary judgment on the judgment result, if the cloud server 6 finds that the judgment result is correct, the solution is not given, if the judgment result is abnormal, the cloud server 6 gives a correct judgment result and a corresponding solution, and at the moment, the updating module 10 updates the data in the database 12 according to the abnormality of the judgment result;
step three, when the final judgment result is that the industrial operation condition is abnormal, the processor 4 sends alarm information to the alarm module 3, the processor 4 also sends abnormal information to the mobile terminal 7 bound by the monitoring personnel, and the alarm module 3 works to remind the monitoring personnel to process the corresponding abnormal condition;
step four, the monitoring personnel inputs the data of the industrial operation of the certain event needing to be inquired on the mobile terminal 7, the mobile terminal 7 sends the inquiry condition to the processor 4, the analysis processing module 11 calls the corresponding data from the database 12, and the processor 4 sends the corresponding data to the mobile terminal 7, so that the monitoring personnel can conveniently know the industrial operation condition.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Furthermore, it should be understood that although the present description refers to embodiments, not every embodiment may contain only a single embodiment, and such description is for clarity only, and those skilled in the art should integrate the description, and the embodiments may be combined as appropriate to form other embodiments understood by those skilled in the art.
Claims (7)
1. The utility model provides an industrial monitoring system based on big data, includes data acquisition module (1), alarm module (3) and treater (4), its characterized in that, the quantity of data acquisition module (1) is a plurality of and a plurality of data acquisition module (1) all links to each other with treater (4), alarm module (3) link to each other and treater (4) still link to each other with power module (32) with treater (4), treater (4) include database (12), information transceiver module (13), analysis processing module (11) and update module (10), treater (4) link to each other with cloud ware (6) through wireless module (5).
2. Big data based industrial monitoring system according to claim 1, characterized in that a buffer (8) is further provided between the data acquisition module (1) and the processor (4).
3. The industrial monitoring system based on big data according to claim 1, characterized in that the data acquisition module (1) comprises a temperature and humidity acquisition module (18), an image acquisition module (19), a illuminance acquisition module (20), a sound acquisition module (21), a gas concentration acquisition module (22) and a dust particle concentration detection module (23).
4. A big data based industrial monitoring system according to claim 1 or 3, characterized in that the wireless module (5) comprises at least one of a GPRS module (14), an ethernet module (15), a WIFI module (16) and a radio frequency module (17).
5. The big data based industrial monitoring system according to claim 1, further comprising a mobile terminal (7), wherein the mobile terminal (7) is connected with the processor (4) through the wireless module (5).
6. A big data based industrial monitoring system according to claim 1 or 2, characterized in that the processor (4) further comprises a verification module (9).
7. A workflow of the big data based industrial monitoring system according to any of claims 1 to 6, characterized by the following concrete steps:
the method comprises the following steps that firstly, a data acquisition module (1) acquires various data of industrial operation and sends the acquired data to a processor (4), and an information transceiving module (13) receives the acquired data;
step two, the analysis processing module (11) compares the acquired data with data in the database (12) to judge whether the industrial operation condition is normal, if so, no solution is given, if so, the analysis processing module (11) calls the solution from the database (12), the analysis processing module (11) sends the judgment result to the cloud server (6), the cloud server (6) carries out secondary judgment on the judgment result, if the cloud server (6) finds that the judgment result is correct, no solution is given, if found that the judgment result is abnormal, the cloud server (6) gives a correct judgment result and a corresponding solution, and the updating module (10) updates the data in the database (12);
and step three, when the final judgment result is that the industrial operation condition is abnormal, the processor (4) sends alarm information to the alarm module (3), and the alarm module (3) works to remind monitoring personnel to process the corresponding abnormal condition.
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| CN111963116A (en) * | 2020-08-14 | 2020-11-20 | 中国石油大学(北京) | Intelligent gas field system and method for self-adaption and intelligent analysis decision |
| CN112818716A (en) * | 2021-01-17 | 2021-05-18 | 马陆咀 | Intelligent operation staring and controlling visual management system |
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| CN112818716A (en) * | 2021-01-17 | 2021-05-18 | 马陆咀 | Intelligent operation staring and controlling visual management system |
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Application publication date: 20200501 |