CN113419490A - Real-time monitoring control method, device, equipment and storage medium for factory equipment of Internet of things - Google Patents
Real-time monitoring control method, device, equipment and storage medium for factory equipment of Internet of things Download PDFInfo
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- CN113419490A CN113419490A CN202110526884.4A CN202110526884A CN113419490A CN 113419490 A CN113419490 A CN 113419490A CN 202110526884 A CN202110526884 A CN 202110526884A CN 113419490 A CN113419490 A CN 113419490A
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 131
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- 230000006855 networking Effects 0.000 claims description 4
- 238000001514 detection method Methods 0.000 description 10
- 238000004891 communication Methods 0.000 description 7
- 238000012806 monitoring device Methods 0.000 description 7
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- 238000012517 data analytics Methods 0.000 description 2
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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
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- 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 real-time monitoring control method, a real-time monitoring control device, real-time monitoring control equipment and a storage medium for factory equipment of the Internet of things. The method comprises the steps that a first sensing monitoring equipment group is controlled to be connected with first factory equipment so as to obtain a first physical parameter of the first sensing monitoring equipment group in real time; controlling the second sensing monitoring equipment group to be connected with second factory equipment so as to obtain a second physical parameter of the second sensing monitoring equipment group in real time; controlling the middle-layer system to wake up the first sensing monitoring equipment group and the second sensing monitoring equipment group at regular time within a preset time period, and transmitting heartbeat packets to the mobile cloud platform; the mobile cloud platform is controlled to perform data interaction with the upper monitoring data analysis system through the api interface, and data of the first physical parameter and data of the second physical parameter are uploaded to the local server; storing the data of the first physical parameter and the data of the second physical parameter, analyzing the data, generating a visual graph and uploading the visual graph to a web end for a client to use; the real-time monitoring control method for the Internet of things factory equipment is based on the field of industrial Internet of things, can realize real-time monitoring of a plurality of factory equipment, and gives visual factory operation condition data reference to a Web user side.
Description
Technical Field
The invention relates to the technical field of Internet of things, in particular to a real-time monitoring control method, a real-time monitoring control device, real-time monitoring control equipment and a storage medium for factory equipment of the Internet of things.
Background
The factory operating condition is often used as one of the indexes of multi-head credit granting of the bank, and the bank loan service needs to judge and predict the result of the factory operating condition and give a data reference to the bank. The prior art assembly can only judge whether the machine is in failure or not, or detect whether harmful substances are leaked out of the machine or not to cause danger. In order to avoid the situations of multi-head credit granting, excessive credit granting and empty credit granting caused by unequal information, the soundness of the manufacturing loan is also realized, and a manufacturing enterprise is led to: "dare to loan, wish to loan, and ability to loan". Thereby comprehensively improving the development of the manufacturing industry in China. Therefore, the invention of a remote factory operation state monitoring circuit based on the internet of things is a problem to be solved urgently by technical personnel in the field.
Disclosure of Invention
Aiming at the defects, the embodiment of the invention provides a real-time monitoring control method, a real-time monitoring control device, real-time monitoring equipment and a storage medium for factory equipment of the Internet of things, and aims to solve the problems in the prior art.
In a first aspect, an embodiment of the present invention provides a real-time monitoring and control method for factory equipment of the internet of things, where the method includes:
controlling a first sensing monitoring equipment group to be connected with first factory equipment so as to acquire a first physical parameter of the first sensing monitoring equipment group in real time;
controlling the second sensing monitoring equipment group to be connected with second factory equipment so as to obtain a second physical parameter of the second sensing monitoring equipment group in real time;
controlling a middle-layer system to wake up the first sensing monitoring equipment group and the second sensing monitoring equipment group at regular time within a preset time period, and transmitting a heartbeat packet to the mobile cloud platform;
controlling the mobile cloud platform to perform data interaction with an upper monitoring data analysis system through an api interface, and uploading data of the first physical parameter and the second physical parameter to a local server;
storing data of the first physical parameter and the second physical parameter;
and performing data analysis, generating a visual graph and uploading the visual graph to a web end for a client to use.
Preferably, the method further comprises:
controlling the third sensing monitoring equipment group to be connected with third factory equipment so as to acquire a third physical parameter of the third sensing monitoring equipment group in real time;
controlling a middle-layer system to wake up the first sensing monitoring equipment group, the second sensing monitoring equipment group and the third sensing monitoring equipment group at regular time within a preset time period, and transmitting heartbeat packets to the mobile cloud platform;
controlling the mobile cloud platform to perform data interaction with an upper monitoring data analysis system through an api interface, and uploading data of the first physical parameter, the second physical parameter and the third physical parameter to a local server;
and storing the data of the first physical parameter, the second physical parameter and the third physical parameter, analyzing the data, generating a visual graph and uploading the visual graph to a web end for a client to use.
Preferably, the first sensing and monitoring device group comprises a three-axis vibration sensor, an illumination sensor and a gas sensor; the first physical parameters comprise a first triaxial vibration sensing parameter, a first illumination sensing parameter and a first gas sensing parameter.
Preferably, the second sensing and monitoring device group comprises a three-axis vibration sensor, an illumination sensor and a gas sensor; the first physical parameters comprise a second triaxial vibration sensing parameter, a second illumination sensing parameter and a second gas sensing parameter.
Preferably, the visualization graph is set to be uploaded to a web end in a chart or report form for use by a client.
In a second aspect, an embodiment of the present invention provides a real-time monitoring and controlling device for factory equipment of the internet of things, where the device includes:
the first lower sensing module is used for controlling a first sensing monitoring equipment group to be connected with first factory equipment so as to acquire a first physical parameter of the first sensing monitoring equipment group in real time;
the second lower sensing module is used for controlling the second sensing monitoring equipment group to be connected with second factory equipment so as to acquire a second physical parameter of the second sensing monitoring equipment group in real time;
the timing awakening module is used for controlling the middle-layer system to awaken the first sensing monitoring equipment group and the second sensing monitoring equipment group at regular time within a preset time period and transmitting heartbeat packets to the mobile cloud platform;
the data interaction module is used for controlling the mobile cloud platform to perform data interaction with an upper monitoring data analysis system through an api interface and uploading data of the first physical parameter and the second physical parameter to a local server;
the storage module is used for storing the data of the first physical parameter and the second physical parameter;
and the data analysis module is used for analyzing data, generating a visual graph and uploading the visual graph to a web end for a client to use.
In a third aspect, an embodiment of the present invention provides an internet of things factory device real-time monitoring control device, including: at least one processor, at least one memory and computer program instructions stored in the memory, which when executed by the processor, implement the method of the first aspect of the embodiments described above.
In a fourth aspect, an embodiment of the present invention provides a storage medium, on which computer program instructions are stored, which when executed by a processor implement the method of the first aspect in the foregoing embodiments.
In summary, the method, the apparatus, the device and the storage medium for real-time monitoring and controlling of the factory equipment of the internet of things provided by the embodiments of the present invention. The method comprises the steps of controlling a first sensing monitoring equipment group to be connected with first factory equipment so as to obtain a first physical parameter of the first sensing monitoring equipment group in real time; controlling the second sensing monitoring equipment group to be connected with second factory equipment so as to acquire a second physical parameter of the second sensing monitoring equipment group in real time; controlling a middle-layer system to wake up the first sensing monitoring equipment group and the second sensing monitoring equipment group regularly within a preset time period, and transmitting a heartbeat packet to the mobile cloud platform; controlling the mobile cloud platform to perform data interaction with an upper monitoring data analysis system through an api interface, and uploading data of the first physical parameter and the second physical parameter to a local server; storing data of the first physical parameter and the second physical parameter; and performing data analysis, generating a visual graph and uploading the visual graph to a web end for a client to use. Therefore, the real-time monitoring control method of the Internet of things factory equipment is based on the field of industrial Internet of things, the factory equipment is in butt joint with the production nodes through detection, the data of the bottom sensor nodes of the Internet of things is analyzed and learned, the starting-up state and the starting-up time of the factory equipment are obtained, the starting-up rate and the order saturation of a factory are calculated, and finally real and visible data reference of the factory operation state is given to a Web user side.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments of the present invention will be briefly described below, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flowchart of a real-time monitoring control method for factory equipment of the internet of things according to an embodiment of the invention.
Fig. 2 is a schematic view of a working principle of a real-time monitoring control method for factory equipment of the internet of things according to an embodiment of the invention.
Fig. 3 is a schematic structural diagram of a real-time monitoring and controlling device of factory equipment of the internet of things according to an embodiment of the invention.
Fig. 4 is a schematic structural diagram of an internet-of-things plant device real-time monitoring control device according to an embodiment of the present invention.
Detailed Description
Features and exemplary embodiments of various aspects of the present invention will be described in detail below, and in order to make objects, technical solutions and advantages of the present invention more apparent, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not to be construed as limiting the invention. It will be apparent to one skilled in the art that the present invention may be practiced without some of these specific details. The following description of the embodiments is merely intended to provide a better understanding of the present invention by illustrating examples of the present invention.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
Referring to fig. 1 and 2, an embodiment of the invention provides a real-time monitoring and controlling method for factory equipment of the internet of things, and the real-time monitoring and controlling method for factory equipment of the internet of things is based on the field of industrial internet of things, is used for realizing butt joint by detecting the factory equipment and production nodes, and is used for analyzing and learning through data of bottom sensor nodes of the internet of things, so that a starting-up state and a starting-up time length of the factory equipment are obtained, a starting-up rate and an order saturation degree of a factory are calculated, and a real and visible factory operation state data reference is finally given to a Web user side.
The method comprises the following steps:
s1, controlling a first sensing monitoring equipment group to be connected with first factory equipment so as to acquire a first physical parameter of the first sensing monitoring equipment group in real time;
s2, controlling the second sensing monitoring equipment group to be connected with second factory equipment so as to obtain a second physical parameter of the second sensing monitoring equipment group in real time;
s3, controlling the middle-layer system to wake up the first sensing monitoring equipment group and the second sensing monitoring equipment group at regular time within a preset time period, and transmitting heartbeat packets to the mobile cloud platform;
s4, controlling the mobile cloud platform to perform data interaction with an upper monitoring data analysis system through an api interface, and uploading data of the first physical parameter and the second physical parameter to a local server;
s5, storing the data of the first physical parameter and the second physical parameter;
and S6, analyzing the data, generating a visual graph and uploading the visual graph to a web end for the client to use.
Preferably, the method further comprises:
controlling the third sensing monitoring equipment group to be connected with third factory equipment so as to acquire a third physical parameter of the third sensing monitoring equipment group in real time;
controlling a middle-layer system to wake up the first sensing monitoring equipment group, the second sensing monitoring equipment group and the third sensing monitoring equipment group at regular time within a preset time period, and transmitting heartbeat packets to the mobile cloud platform;
controlling the mobile cloud platform to perform data interaction with an upper monitoring data analysis system through an api interface, and uploading data of the first physical parameter, the second physical parameter and the third physical parameter to a local server;
and storing the data of the first physical parameter, the second physical parameter and the third physical parameter, analyzing the data, generating a visual graph and uploading the visual graph to a web end for a client to use. It is to be understood that, in the present embodiment, each plant device is used in combination with each sensing and monitoring device group, and the number of the sensing and monitoring device groups and the number of the plant devices may be set according to the number to be monitored, and are not limited specifically herein.
Preferably, the first sensing and monitoring device group comprises a three-axis vibration sensor, an illumination sensor and a gas sensor; the first physical parameters comprise a first triaxial vibration sensing parameter, a first illumination sensing parameter and a first gas sensing parameter.
Preferably, the second sensing and monitoring device group comprises a three-axis vibration sensor, an illumination sensor and a gas sensor; the first physical parameters comprise a second triaxial vibration sensing parameter, a second illumination sensing parameter and a second gas sensing parameter.
Specifically, in this embodiment, please refer to fig. 2, the real-time monitoring and controlling method for factory equipment of the internet of things includes an upper monitoring data analysis system, an intermediate cloud platform of the internet of things, and a plurality of lower detection sensing devices. A plurality of lower detection sensing equipment passes through middle thing networking cloud platform with upper monitoring data analytic system communication connection, upper monitoring data analytic system includes computer and server, middle thing networking cloud platform can set up to the oneNET platform that removes data transmission module and remove, and is a plurality of lower detection sensing equipment includes triaxial vibrations sensor, light sensor and gas sensor. The lower detection sensing equipment is the bottommost layer of the detection system and is used for a plurality of factory equipment arranged in a factory workshop; it can be understood that each factory device is equipped with a sensing and monitoring device group, the middle internet of things cloud platform is a communication bridge between the upper monitoring data analysis system and the lower detection sensing device, the middle layer system wakes up the lower detection sensing device at regular time to acquire the relevant physical parameters to be detected on the factory devices, and transmits the heartbeat package to the mobile cloud platform, the mobile cloud platform interacts with the upper monitoring data analysis system through the api interface, and uploads the data to the local server, and at the same time, an sql database is designed at the background of the local server, the history data information of the three-axis vibration, the illumination and the gas of a plurality of lower detection sensing equipment is stored in the database, the historical data is processed, analyzed and combined, the result obtained by analysis is output, and finally the result is uploaded to a web end in the form of a report or a graph for use by a client.
Preferably, the visualization graph is set to be uploaded to a web end in a chart or report form for use by a client. Referring to fig. 3, an embodiment of the present invention provides a real-time monitoring and controlling device for factory equipment of the internet of things, where the device includes:
the first lower sensing module 1 is used for controlling a first sensing monitoring equipment group to be connected with first factory equipment so as to acquire a first physical parameter of the first sensing monitoring equipment group in real time;
the second lower sensing module 2 is used for controlling the second sensing monitoring equipment group to be connected with second factory equipment so as to acquire a second physical parameter of the second sensing monitoring equipment group in real time;
the timing awakening module 3 is used for controlling the middle-layer system to awaken the first sensing monitoring equipment group and the second sensing monitoring equipment group at a timing in a preset time period and transmitting heartbeat packets to the mobile cloud platform;
the data interaction module 4 is used for controlling the mobile cloud platform to perform data interaction with an upper monitoring data analysis system through an api interface, and uploading data of the first physical parameter and the second physical parameter to a local server;
the storage module 5 is used for storing the data of the first physical parameter and the second physical parameter;
and the data analysis module 6 is used for analyzing data, generating a visual graph and uploading the visual graph to a web end for a client to use.
In addition, the real-time monitoring and controlling method for the factory equipment of the internet of things in the embodiment of the invention described in conjunction with fig. 1 can be realized by the real-time monitoring and controlling equipment for the factory equipment of the internet of things. Fig. 4 shows a hardware structure diagram of the real-time monitoring and controlling device of the factory equipment of the internet of things according to the embodiment of the invention.
The internet of things plant equipment real-time monitoring control device may include a processor 401 and a memory 402 having computer program instructions stored therein.
In particular, the processor 401 may include a Central Processing Unit (CPU), or an Application Specific Integrated Circuit (ASIC), or may be configured as one or more Integrated circuits implementing embodiments of the present invention.
The processor 401 reads and executes the computer program instructions stored in the memory 402 to implement the real-time monitoring and controlling method for the plant equipment of the internet of things in any one of the above embodiments.
In one example, the internet of things plant equipment real-time monitoring control device may also include a communication interface 403 and a bus 410. As shown in fig. 4, the processor 401, the memory 402, and the communication interface 403 are connected via a bus 410 to complete communication therebetween.
The communication interface 403 is mainly used for implementing communication between modules, apparatuses, units and/or devices in the embodiment of the present invention.
The bus 410 includes hardware, software, or both that couple the components of the internet of things plant real-time monitoring control device to each other. By way of example, and not limitation, a bus may include an Accelerated Graphics Port (AGP) or other graphics bus, an Enhanced Industry Standard Architecture (EISA) bus, a Front Side Bus (FSB), a Hyper Transport (HT) interconnect, an Industry Standard Architecture (ISA) bus, an infiniband interconnect, a Low Pin Count (LPC) bus, a memory bus, a Micro Channel Architecture (MCA) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a Serial Advanced Technology Attachment (SATA) bus, a video electronics standards association local (VLB) bus, or other suitable bus, or a combination of two or more of these. Bus 410 may include one or more buses, where appropriate. Although specific buses have been described and shown in the embodiments of the invention, any suitable buses or interconnects are contemplated by the invention.
In addition, in combination with the real-time monitoring and controlling method for the factory equipment of the internet of things in the foregoing embodiment, the embodiment of the present invention may provide a computer-readable storage medium to implement the method. The computer readable storage medium having stored thereon computer program instructions; when executed by the processor, the computer program instructions implement any one of the real-time monitoring and controlling methods for the plant equipment of the internet of things in the embodiments.
In summary, the method, the apparatus, the device and the storage medium for real-time monitoring and controlling of the factory equipment of the internet of things provided by the embodiments of the present invention. The method comprises the steps of controlling a first sensing monitoring equipment group to be connected with first factory equipment so as to obtain a first physical parameter of the first sensing monitoring equipment group in real time; controlling the second sensing monitoring equipment group to be connected with second factory equipment so as to acquire a second physical parameter of the second sensing monitoring equipment group in real time; controlling a middle-layer system to wake up the first sensing monitoring equipment group and the second sensing monitoring equipment group regularly within a preset time period, and transmitting a heartbeat packet to the mobile cloud platform; controlling the mobile cloud platform to perform data interaction with an upper monitoring data analysis system through an api interface, and uploading data of the first physical parameter and the second physical parameter to a local server; storing data of the first physical parameter and the second physical parameter; and performing data analysis, generating a visual graph and uploading the visual graph to a web end for a client to use. Therefore, the real-time monitoring control method of the Internet of things factory equipment is based on the field of industrial Internet of things, the factory equipment is in butt joint with the production nodes through detection, the data of the bottom sensor nodes of the Internet of things is analyzed and learned, the starting-up state and the starting-up time of the factory equipment are obtained, the starting-up rate and the order saturation of a factory are calculated, and finally real and visible data reference of the factory operation state is given to a Web user side.
It should also be noted that the exemplary embodiments mentioned in this patent describe some methods or systems based on a series of steps or devices. However, the present invention is not limited to the order of the above-described steps, that is, the steps may be performed in the order mentioned in the embodiments, may be performed in an order different from the order in the embodiments, or may be performed simultaneously.
As described above, only the specific embodiments of the present invention are provided, and it can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the system, the module and the unit described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again. It should be understood that the scope of the present invention is not limited thereto, and any equivalent modifications or substitutions can be easily made by those skilled in the art within the technical scope of the present invention.
Claims (8)
1. A real-time monitoring control method for factory equipment of the Internet of things is characterized by comprising the following steps:
controlling a first sensing monitoring equipment group to be connected with first factory equipment so as to acquire a first physical parameter of the first sensing monitoring equipment group in real time;
controlling the second sensing monitoring equipment group to be connected with second factory equipment so as to obtain a second physical parameter of the second sensing monitoring equipment group in real time;
controlling a middle-layer system to wake up the first sensing monitoring equipment group and the second sensing monitoring equipment group at regular time within a preset time period, and transmitting heartbeat packets to the mobile cloud platform;
controlling the mobile cloud platform to perform data interaction with an upper monitoring data analysis system through an api interface, and uploading data of the first physical parameter and the second physical parameter to a local server;
storing data of the first physical parameter and the second physical parameter;
and performing data analysis, generating a visual graph and uploading the visual graph to a web end for a client to use.
2. The real-time monitoring and controlling method for the factory equipment of the Internet of things is characterized by further comprising the following steps:
controlling the third sensing monitoring equipment group to be connected with third factory equipment so as to acquire a third physical parameter of the third sensing monitoring equipment group in real time;
controlling an intermediate layer system to wake up the first sensing monitoring equipment group, the second sensing monitoring equipment group and the third sensing monitoring equipment group at regular time within a preset time period, and transmitting heartbeat packets to the mobile cloud platform;
controlling the mobile cloud platform to perform data interaction with an upper monitoring data analysis system through an api interface, and uploading data of the first physical parameter, the second physical parameter and the third physical parameter to a local server;
and storing the data of the first physical parameter, the second physical parameter and the third physical parameter, analyzing the data, generating a visual graph and uploading the visual graph to a web end for a client to use.
3. The real-time monitoring and controlling method for the factory equipment of the internet of things as claimed in claim 1, wherein the first sensing and monitoring equipment group comprises a three-axis vibration sensor, an illumination sensor and a gas sensor; the first physical parameters comprise a first triaxial vibration sensing parameter, a first illumination sensing parameter and a first gas sensing parameter.
4. The real-time monitoring and controlling method for the factory equipment of the internet of things as claimed in claim 1, wherein the second sensing and monitoring equipment group comprises a three-axis vibration sensor, an illumination sensor and a gas sensor; the first physical parameters comprise a second triaxial vibration sensing parameter, a second illumination sensing parameter and a second gas sensing parameter.
5. The real-time monitoring and controlling method for factory equipment of the internet of things as claimed in claim 2, wherein the visual graph is set to be in a chart or report form and uploaded to a web end for use by a client.
6. The utility model provides an thing networking factory equipment real-time supervision controlling means which characterized in that, the device includes:
the first lower sensing module is used for controlling a first sensing monitoring equipment group to be connected with first factory equipment so as to acquire a first physical parameter of the first sensing monitoring equipment group in real time;
the second lower sensing module is used for controlling the second sensing monitoring equipment group to be connected with second factory equipment so as to acquire a second physical parameter of the second sensing monitoring equipment group in real time;
the timing awakening module is used for controlling the middle-layer system to awaken the first sensing monitoring equipment group and the second sensing monitoring equipment group at regular time within a preset time period and to transmit heartbeat packets to the mobile cloud platform;
the data interaction module is used for controlling the mobile cloud platform to perform data interaction with an upper monitoring data analysis system through an api interface and uploading data of the first physical parameter and the second physical parameter to a local server;
the storage module is used for storing the data of the first physical parameter and the second physical parameter;
and the data analysis module is used for analyzing data, generating a visual graph and uploading the visual graph to a web end for a client to use.
7. The utility model provides a thing networking factory equipment real-time supervision controlgear which characterized in that includes: at least one processor, at least one memory, and computer program instructions stored in the memory that, when executed by the processor, implement the method of any of claims 1-7.
8. A storage medium having computer program instructions stored thereon, which when executed by a processor implement the method of any one of claims 1-5.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115936405A (en) * | 2023-01-10 | 2023-04-07 | 东莞盟大集团有限公司 | Internet of things platform based on big data technology |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN207906048U (en) * | 2017-12-28 | 2018-09-25 | 上海新增鼎数据科技有限公司 | A kind of factory's running equipment on-line monitoring system based on LoRa technologies |
| CN108762210A (en) * | 2018-05-25 | 2018-11-06 | 银川华信智信息技术有限公司 | A kind of industrial intelligent manufaturing data harvester and method based on Internet of Things |
| CN111830920A (en) * | 2020-07-23 | 2020-10-27 | 重庆中科云仿科技有限公司 | Factory intelligent monitoring sharing cloud platform based on Internet of things |
| CN112731876A (en) * | 2020-12-22 | 2021-04-30 | 浙江工业大学 | Industrial equipment management system based on production data |
-
2021
- 2021-05-14 CN CN202110526884.4A patent/CN113419490A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN207906048U (en) * | 2017-12-28 | 2018-09-25 | 上海新增鼎数据科技有限公司 | A kind of factory's running equipment on-line monitoring system based on LoRa technologies |
| CN108762210A (en) * | 2018-05-25 | 2018-11-06 | 银川华信智信息技术有限公司 | A kind of industrial intelligent manufaturing data harvester and method based on Internet of Things |
| CN111830920A (en) * | 2020-07-23 | 2020-10-27 | 重庆中科云仿科技有限公司 | Factory intelligent monitoring sharing cloud platform based on Internet of things |
| CN112731876A (en) * | 2020-12-22 | 2021-04-30 | 浙江工业大学 | Industrial equipment management system based on production data |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115936405A (en) * | 2023-01-10 | 2023-04-07 | 东莞盟大集团有限公司 | Internet of things platform based on big data technology |
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