CN109882401B - Air compressor self-checking strategy based on Internet of things - Google Patents
Air compressor self-checking strategy based on Internet of things Download PDFInfo
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- CN109882401B CN109882401B CN201910299772.2A CN201910299772A CN109882401B CN 109882401 B CN109882401 B CN 109882401B CN 201910299772 A CN201910299772 A CN 201910299772A CN 109882401 B CN109882401 B CN 109882401B
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Abstract
The invention discloses an air compressor self-checking strategy based on the Internet of things, which comprises the following steps: establishing an Internet of things module, binding the Internet of things module with a target air compressor, and establishing two-way communication between a cloud network server and the Internet of things module; establishing self-checking time logic, and determining the self-checking time of the target air compressor; according to the self-checking time logic, the Internet of things module selects a communication protocol corresponding to target information of the target air compressor to connect with the cloud network server and sends a self-checking request, the target air compressor selects to receive or reject a self-checking task by an operator, and if the operator of the target air compressor selects to reject the self-checking task, the steps from d to e are repeated; if the self-checking task is selected to be received, the target air compressor starts to perform self-checking; when the target air compressor carries out self-checking, a real-time operation curve graph is generated according to operation data, the real-time operation curve graph is compared with an operation curve graph in the internet of things module, and self-checking results are generated and sent to operators and the cloud network server respectively.
Description
Technical Field
The invention relates to the technical field of maintenance of air compressors, in particular to an air compressor self-checking strategy based on the Internet of things.
Background
An air compressor and an air compressor are a machine for compressing air in a free state into air having a certain pressure energy (i.e., compressed air). In the fields of machinery, mines, buildings and the like, compressed air is used as a power air source to drive various pneumatic tools (such as air picks, air drills, pneumatic wrenches, pneumatic sand blasting and the like), and the pressure is generally 0.6-1.5 MPa at the moment. The pressure is 0.6MPa when the pressure is used for controlling instruments and automation devices. In the transportation industry, compressed air is used for braking vehicles and opening and closing doors and windows, and the pressure is 0.2-1.0 MPa. In the textile industry, compressed air is used for blowing weft yarns to replace shuttles, and compressed air with different pressures is required for starting large and medium engines, high-pressure air blasting exploration, coal mining, torpedo launching, submarine sinking and floating and salvaging, hovercraft and the like. In these sectors, air compressors become indispensable equipment.
The daily nursing of air compressor machine generally relies on artifical inspection and air compressor machine operating personnel to carry out the maintenance according to self work experience, wastes time and energy like this. In addition, enterprises need to recruit professional operators and maintainers for daily maintenance, and at the present day with developed interconnection, the distance between people and the distance between enterprises are reduced by the Internet, and the enterprises can completely rely on air compressor manufacturers to realize maintenance of the air compressors, so that the personnel cost is reduced.
The applicant has therefore made an advantageous search and attempt to find a solution to the above-mentioned problems, which is the result of the following description.
Disclosure of Invention
The technical problem to be solved by the invention is to provide an air compressor self-checking strategy based on the Internet of things aiming at the defects of the prior art.
The technical problem solved by the invention can be realized by adopting the following technical scheme:
air compressor machine self-checking strategy based on thing networking, its characterized in that includes following step:
a. establishing an Internet of things module, and binding the Internet of things module with a target air compressor;
b. a cloud network server establishes two-way communication with the Internet of things module;
c. establishing self-checking time logic, and determining the self-checking time of the target air compressor;
d. according to the self-checking time logic, the Internet of things module selects a communication protocol corresponding to the target information of the target air compressor to connect with the cloud network server and sends a self-checking request;
e. after the cloud network server identifies the corresponding communication protocol, the corresponding operation curve graph and the operation data of the target air compressor are sent to the Internet of things module;
f. the target air compressor selects to receive or reject the self-checking task by an operator, and when the operator of the target air compressor rejects the self-checking task, the steps from d to e are repeated; if the self-checking task is selected to be received, the target air compressor starts to perform self-checking;
g. when the target air compressor carries out self-checking, a real-time operation curve graph is generated according to operation data, the real-time operation curve graph is compared with an operation curve graph in the internet of things module, and self-checking results are generated and sent to operators and the cloud network server respectively.
In a preferred embodiment of the present invention, the target information of the target air compressor includes one or a mixture of any two or more of a model number, a date of factory shipment, factory parameters, an equipment number, and an identification code of the air compressor.
In a preferred embodiment of the present invention, the operation parameter includes one or a mixture of any two or more of air compressor discharge pressure, discharge temperature, operation time, motor voltage, and current data.
In a preferred embodiment of the present invention, the self-test time logic is 0 to 7 days, or 0 to 30 days, or 0 to 90 days.
In a preferred embodiment of the invention, the operation curve graph and the operation data in the cloud network server are theoretical data issued by an air compressor manufacturer.
In a preferred embodiment of the invention, the self-checking time is 0-24 hours, before each self-checking, a data file is reestablished in the target air compressor, and the operation data in the self-checking time is separately recorded to generate a real-time operation curve graph.
In a preferred embodiment of the present invention, the communication protocol comprises data bits, check bits, stop bits, baud rate, function codes, parameters, and parameter register addresses.
Due to the adoption of the technical scheme, the invention has the beneficial effects that: the communication distance between a manufacturer and a using enterprise is closer, and the manufacturer can track the use and maintenance conditions of the target compressor in the whole process to provide better after-sales service for the using enterprise; the use enterprise only need carry out simple training to operating personnel and just can go on duty operation air compressor machine, make the control of air compressor machine simpler and can communicate with the producer at any time, make things convenient for the upgrading of air compressor machine to upgrade and upgrade.
Detailed Description
In order to make the technical means, the creation characteristics, the achievement purposes and the effects of the invention easy to understand, the invention is further explained below.
Air compressor machine self-checking strategy based on thing networking, its characterized in that includes following step:
a. and establishing an Internet of things module, and binding the Internet of things module and the target air compressor.
b. A cloud network server establishes two-way communication with the Internet of things module.
c. And establishing a self-checking time logic, and determining the self-checking time of the target air compressor.
The self-checking time logic is 0-7 days, or 0-30 days, or 0-90 days, and the using enterprise can send the self-checking request at any time according to the request of the using enterprise.
d. According to the self-checking time logic, the Internet of things module selects a communication protocol corresponding to the target information of the target air compressor to connect with the cloud network server and sends a self-checking request;
the target information of the target air compressor comprises one or the combination of more than two of the model, the factory date, the factory parameters, the equipment number and the identification code of the air compressor.
The communication protocol comprises data bits, check bits, stop bits, baud rate, function codes, parameters and parameter register addresses.
e. After the cloud network server identifies the corresponding communication protocol, the corresponding operation curve graph and the operation data of the target air compressor are sent to the Internet of things module;
the operation curve diagram and the operation data in the cloud network server are theoretical data issued by an air compressor manufacturer, and the operation data and the attenuation curve diagram of the service life of each component such as an air filtering filter element, an air inlet valve piston sealing ring, compressor lubricating oil, an oil filter, an oil-gas separator, a minimum pressure valve, a cooler, a safety valve, an oil drain valve, a transmission belt and a motor are uploaded.
The operation parameters comprise one or the combination of more than two of the data of air compressor exhaust pressure, exhaust temperature, operation time, motor voltage and current. According to the requirements of customers, manufacturers can provide detailed data such as host operating frequency, host output rotating speed, host output current, host output voltage, variable frequency bus voltage, actual motor output power, fan state, fan output current, fan output voltage, fan operating rotating speed, fan operating frequency or variable frequency temperature and the like to provide better data support for maintenance.
f. The target air compressor selects to receive or reject the self-checking task by an operator, and when the operator of the target air compressor rejects the self-checking task, the steps from d to e are repeated; if the self-checking task is selected to be received, the target air compressor starts to perform self-checking; if no selection operation is carried out, the internet of things module transmits information back to the cloud network server, the cloud network server sends one or more self-checking tasks to the target air compressor in a fixed time period according to the set parameters, and when the number of times of sending the self-checking tasks reaches the set parameters, the manufacturer can receive the information sent by the cloud network server and send a special person to contact with a use enterprise of the target air compressor.
The default of the setting parameter is set to send a self-checking task once in 1 hour, and the sending frequency is 3.
g. When the target air compressor carries out self-checking, a real-time operation curve graph is generated according to operation data, the real-time operation curve graph is compared with an operation curve graph in the internet of things module, and self-checking results are generated and sent to operators and the cloud network server respectively.
The self-checking time is 0-24 hours, before each self-checking, a data file is reestablished in the target air compressor, the operation data in the self-checking time is recorded independently, and a real-time operation curve graph is generated.
The foregoing shows and describes the general principles and broad features of the present invention and advantages thereof. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (8)
1. Air compressor machine self-checking strategy based on thing networking, its characterized in that includes following step:
a. establishing an Internet of things module, and binding the Internet of things module with a target air compressor;
b. a cloud network server establishes two-way communication with the Internet of things module;
c. establishing self-checking time logic, and determining the self-checking time of the target air compressor;
d. according to the self-checking time logic, the Internet of things module selects a communication protocol corresponding to target information of a target air compressor to connect with the cloud network server and sends a self-checking request;
e. after the cloud network server identifies the corresponding communication protocol, the corresponding operation curve graph and the operation data of the target air compressor are sent to the Internet of things module;
f. the target air compressor selects to receive or reject the self-checking task by an operator, and if the operator of the target air compressor selects to reject the self-checking task, the steps from d to e are repeated; if the self-checking task is selected to be received, the target air compressor starts to perform self-checking;
g. when the target air compressor carries out self-checking, a real-time operation curve graph is generated, the real-time operation curve graph is compared with an operation curve graph in the Internet of things module, and self-checking results are generated and sent to operators and the cloud network server respectively.
2. The air compressor self-checking strategy based on the internet of things as claimed in claim 1, wherein the target information of the target air compressor comprises one or a mixture of any two or more of a model number, a factory date, factory parameters, an equipment number and an identification code of the air compressor.
3. The air compressor self-checking strategy based on the internet of things as claimed in claim 1, wherein the self-checking time logic is 0-90 days.
4. The air compressor self-checking strategy based on the internet of things as claimed in claim 1, wherein the self-checking time logic is 0-30 days.
5. The air compressor self-checking strategy based on the internet of things as claimed in claim 1, wherein the self-checking time logic is 0-7 days.
6. The air compressor self-checking strategy based on the internet of things as claimed in claim 1, wherein the operation curve graph and the operation data in the cloud network server are theoretical data issued by a target air compressor manufacturer.
7. The air compressor self-checking strategy based on the internet of things as claimed in claim 1, wherein the self-checking time is 0-24 hours, a data file is reestablished in the target air compressor before each self-checking, and the operation data in the self-checking time is recorded separately to generate a real-time operation curve graph.
8. The air compressor self-checking strategy based on the internet of things as claimed in claim 1, wherein the communication protocol comprises data bits, check bits, stop bits, baud rate, function codes and parameter register addresses.
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| CN109882401B true CN109882401B (en) | 2020-10-30 |
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| CN113565748B (en) * | 2021-09-23 | 2022-01-07 | 苏州卓樱自动化设备有限公司 | Performance test equipment and method for compressor |
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| CN104122876A (en) * | 2014-08-01 | 2014-10-29 | 福州固力工业成套设备有限公司 | Internet of Things based monitoring system for air compressors |
| CN107168295A (en) * | 2017-06-27 | 2017-09-15 | 佛山蘑菇物联技术有限公司 | The communications protocol allocation engine and method of real-time of air compressor machine Internet of Things module based on cloud computing |
| CN107247432A (en) * | 2017-06-27 | 2017-10-13 | 佛山蘑菇物联技术有限公司 | The remote auto decision method of screw type air compressor cooling system failure |
| CN109236621A (en) * | 2018-08-03 | 2019-01-18 | 宁波欣达螺杆压缩机有限公司 | A kind of control system of air compressor and method based on Internet of Things |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| US20160245279A1 (en) * | 2015-02-23 | 2016-08-25 | Biplab Pal | Real time machine learning based predictive and preventive maintenance of vacuum pump |
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104122876A (en) * | 2014-08-01 | 2014-10-29 | 福州固力工业成套设备有限公司 | Internet of Things based monitoring system for air compressors |
| CN107168295A (en) * | 2017-06-27 | 2017-09-15 | 佛山蘑菇物联技术有限公司 | The communications protocol allocation engine and method of real-time of air compressor machine Internet of Things module based on cloud computing |
| CN107247432A (en) * | 2017-06-27 | 2017-10-13 | 佛山蘑菇物联技术有限公司 | The remote auto decision method of screw type air compressor cooling system failure |
| CN109236621A (en) * | 2018-08-03 | 2019-01-18 | 宁波欣达螺杆压缩机有限公司 | A kind of control system of air compressor and method based on Internet of Things |
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