CN114876779A - Air compression intelligent operation and maintenance method based on Internet of things - Google Patents
Air compression intelligent operation and maintenance method based on Internet of things Download PDFInfo
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- CN114876779A CN114876779A CN202210435239.6A CN202210435239A CN114876779A CN 114876779 A CN114876779 A CN 114876779A CN 202210435239 A CN202210435239 A CN 202210435239A CN 114876779 A CN114876779 A CN 114876779A
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- 238000012423 maintenance Methods 0.000 title claims abstract description 69
- 238000000034 method Methods 0.000 title claims abstract description 42
- 230000006835 compression Effects 0.000 title claims description 24
- 238000007906 compression Methods 0.000 title claims description 24
- 238000001514 detection method Methods 0.000 claims abstract description 60
- 238000012544 monitoring process Methods 0.000 claims abstract description 20
- 230000008569 process Effects 0.000 claims abstract description 11
- 238000007689 inspection Methods 0.000 claims description 26
- 239000003921 oil Substances 0.000 claims description 16
- 239000010687 lubricating oil Substances 0.000 claims description 11
- 238000004519 manufacturing process Methods 0.000 claims description 8
- 230000008439 repair process Effects 0.000 claims description 8
- 238000012545 processing Methods 0.000 claims description 7
- 230000002159 abnormal effect Effects 0.000 claims description 5
- 238000009826 distribution Methods 0.000 claims 2
- 238000005461 lubrication Methods 0.000 claims 1
- 238000004891 communication Methods 0.000 description 4
- 238000013461 design Methods 0.000 description 3
- 238000007726 management method Methods 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 2
- 125000004122 cyclic group Chemical group 0.000 description 2
- 230000006872 improvement Effects 0.000 description 2
- 230000009467 reduction Effects 0.000 description 2
- 230000008859 change Effects 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000008030 elimination Effects 0.000 description 1
- 238000003379 elimination reaction Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000010606 normalization Methods 0.000 description 1
- 230000008092 positive effect Effects 0.000 description 1
- 238000004801 process automation Methods 0.000 description 1
- 238000003860 storage Methods 0.000 description 1
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
- F04B—POSITIVE-DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS
- F04B51/00—Testing machines, pumps, or pumping installations
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y20/00—Information sensed or collected by the things
- G16Y20/10—Information sensed or collected by the things relating to the environment, e.g. temperature; relating to location
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y40/00—IoT characterised by the purpose of the information processing
- G16Y40/10—Detection; Monitoring
-
- 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]
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- Engineering & Computer Science (AREA)
- Computing Systems (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Environmental & Geological Engineering (AREA)
- General Health & Medical Sciences (AREA)
- Toxicology (AREA)
- Control Of Positive-Displacement Pumps (AREA)
Abstract
The invention relates to the technical field of air compressor operation and maintenance methods, in particular to an air compressor intelligent operation and maintenance method based on the Internet of things, which comprises the following steps: s1: before the air compressor is started, various states of the air compressor are detected through a detection module; s2: and continuously detecting various states in the operation process of the air compressor, and uploading relevant data to the server. According to the air compressor monitoring system, various states of the air compressor are detected through the detection module and uploaded to the server, original data are established through the server to serve as references, and the monitoring module is used for continuously monitoring, so that various data before the air compressor is started and in the operation process are monitored in an all-around mode, a complex process of manual itinerant monitoring is omitted, all-weather operation maintenance of the air compressor can be guaranteed through the means of the Internet of things, manpower resource loss is saved, and the problems of poor detection process standardization and poor reliability are avoided.
Description
Technical Field
The invention relates to the technical field of air compressor operation and maintenance methods, in particular to an air compressor intelligent operation and maintenance method based on the Internet of things.
Background
An air compressor, i.e. an air compressor, is a device for compressing gas, mostly adopting reciprocating piston type, rotary blade or rotary screw, its principle is that the compressor is directly driven by motor, the crankshaft produces rotary motion, the connecting rod is driven to make the piston produce reciprocating motion, so that the volume of cylinder is changed, due to the change of pressure in the cylinder, the air is fed into the cylinder through air filter by means of air inlet valve, in the course of compression, due to the reduction of volume of cylinder, the compressed air is fed into air storage tank by means of exhaust valve, and passed through exhaust pipe and check valve of one-way valve, when the exhaust pressure is up to rated pressure 0.7MPa, and is automatically stopped under the control of pressure switch, in the course of operation and maintenance of air compressor, the existent technical means can be used for manually recording various numerical values of air compressor, and analyzing the recorded result, in the course of large-scale operation and maintenance, often, 24 hours of uninterrupted maintenance is needed to ensure that the operation state of the air compressor is not abnormal, more human resources are consumed, the process automation is weak, and improvement is needed.
Chinese patent No. CN112711680A discloses an air compression intelligent operation and maintenance method based on the Internet of things, which comprises the following steps: detecting whether the air compressor controller equipment meets operation and maintenance conditions; accessing the protocol and the interface data to the air compressor controller equipment; accessing the application scene information into a controller, acquiring a function in the controller according to the requirement, and acquiring data information required by the function from an air compressor controller device by the controller; processing the acquired data in a processor; backing up and intensively forwarding the processed data storage modules to a server; the server analyzes, queries, distributes and pushes the data set forwarded to the server, so that the air compressor is remotely monitored, message application is timely pushed, the intelligentization and informatization degree of the air compressor group is improved, the detection method is wide in detection process of the air compressor, reference standards are not provided for related technical indexes, and the method is influenced in implementation operation and needs to be improved.
Chinese patent No. CN210405371U discloses an air compression intelligent operation and maintenance system based on internet of things, which includes: the system comprises air compression station house equipment, a wireless intelligent data acquisition and transmission device, a cloud server database and an air compression operation and maintenance cloud platform; the wireless intelligent data acquisition and transmission device comprises a communication module, a main chip data processor and a power module, wherein the communication module and the main chip data processor are connected with the power module, the communication module is bidirectionally connected with air compression station room equipment, the communication module is bidirectionally connected with the main chip data processor and a cloud server database, and the cloud server database is bidirectionally connected with a display module in an air compression operation and maintenance cloud platform; the intelligent operation and maintenance management of the air compression equipment is realized through the intelligent operation and maintenance management system of the air compression, the daily maintenance amount of workers is reduced, and the labor cost is reduced; maintenance and spare parts can be replaced as required to reduce maintenance cost, hidden trouble of failure is judged in advance through data analysis and diagnosis, equipment life and efficiency reduction caused by failure are avoided, equipment maintenance cost is reduced for enterprises, the operation and maintenance system has high requirements on modularization, but each index does not set original data as a basis, a detection result is relatively strong in standardization, but actually, data errors are large, and improvement is needed.
Disclosure of Invention
The invention aims to solve the defects in the prior art and provides an air compression intelligent operation and maintenance method based on the Internet of things.
In order to achieve the purpose, the invention adopts the following technical scheme: an air compression intelligent operation and maintenance method based on the Internet of things comprises the following steps:
s1: before the air compressor is started, various states of the air compressor are detected through a detection module;
s2: continuously detecting various states in the operation process of the air compressor, and uploading relevant data to a server;
s3: the server establishes original data as a reference according to the model of the air compressor and formulates a working standard of a maintenance state;
s4: the server monitors the technical state information of the air compressor through the monitoring module, regularly checks the intact state of the air compressor, detects the precision and the special container, and formulates a detection point;
s5: and performing itinerant inspection and processing according to the monitoring route of the detection point.
In order to define the data of each state, the invention improves that in S1, each state includes an oil barrel lubricating oil state detection, a valve state detection, a load state detection, a pressure detection and a temperature detection.
In order to limit the oil amount of the lubricating oil, the invention improves that the oil-dividing barrel lubricating oil state detection is specifically used for detecting whether the oil-dividing barrel lubricating oil is within the range of the scale and the oil amount of the lubricating oil is not lower than the lowest scale line of the scale.
In order to ensure that the valve state and the load state of the air compressor meet the standard, the invention improves the method, the valve state detection is specifically to detect whether the valve is in an open state, and the load state detection requires that the air compressor must be in a no-load state before being started.
In order to ensure that the pressure and the temperature of the air compressor are in a standard range, the invention improves the pressure detection and the temperature detection specifically by detecting the pressure and the temperature of a main machine and a pressure container of the air compressor through a pressure sensor and a temperature sensor, and if the pressure or the temperature is too high, an alarm is automatically given or the air compressor is stopped.
In order to limit the content of the related data, the invention improves that in the step S2, the related data includes daily maintenance data and air compressor status data, and the daily maintenance data includes fault repair and other repair records.
In order to limit the content of the original data, the present invention improves that in S3, the original data includes original performance indexes such as a capacity index, a precision index, and an operation characteristic of the air compressor, and related technical characteristic indexes and characteristic parameter indexes of maintenance state information of the air compressor.
In order to specifically define the working standard of the maintenance state, the invention improves that in the step S3, the working standard of the maintenance state includes an air compressor operation procedure, a maintenance procedure, a repair procedure, and a state check and monitoring procedure.
In order to ensure that the technical state information of the air compressor meets the standard, the invention improves that in the step S4, the technical state information of the air compressor comprises daily inspection of the production air compressor and the lifting air compressor, daily inspection of the power air compressor, regular performance inspection of the production key air compressor and regular precision inspection of the precision air compressor.
In order to ensure the stability of the operating state of the air compressor, the invention improves that in the step S5, the detailed contents of the cyclic inspection and the cyclic processing are to timely eliminate or perform planned maintenance on abnormal signs and hidden dangers found in the inspection.
Compared with the prior art, the invention has the advantages and positive effects that:
according to the air compressor monitoring system, various states of the air compressor are detected through the detection module and uploaded to the server, original data are established through the server as reference, and the monitoring module is used for continuously monitoring, so that various data before the air compressor is started and in the operation process are monitored in an all-around mode, a complex manual itinerant monitoring process is omitted, all-weather operation maintenance of the air compressor can be guaranteed by means of the Internet of things, the human resource loss is saved, and the problems of poor detection process normalization and poor reliability are avoided.
Drawings
Fig. 1 is a schematic flow diagram of an air compression intelligent operation and maintenance method based on the internet of things.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is 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 intended to limit the invention.
In the description of the present invention, it is to be understood that the terms "length", "width", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", and the like, indicate orientations or positional relationships based on those shown in the drawings, and are used only for convenience in describing the present invention and for simplicity in description, and do not indicate or imply that the devices or elements referred to must have a particular orientation, be constructed in a particular orientation, and be operated, and thus, are not to be construed as limiting the present invention. In addition, in the description of the present invention, "a plurality" means two or more unless specifically defined otherwise.
Example one
Referring to fig. 1, the present invention provides a technical solution: an air compression intelligent operation and maintenance method based on the Internet of things comprises the following steps:
s1: before the air compressor is started, various states of the air compressor are detected through a detection module;
s2: continuously detecting various states in the operation process of the air compressor, and uploading relevant data to a server;
s3: the server establishes original data as a reference according to the model of the air compressor and formulates a working standard of a maintenance state;
s4: the server monitors the technical state information of the air compressor through the monitoring module, regularly checks the intact state of the air compressor, detects the precision and the special container, and formulates a detection point;
s5: and performing itinerant inspection and processing according to the monitoring route of the detection point.
In S1, the states include oil level detection, valve state detection, load state detection, pressure detection and temperature detection, and the oil level detection specifically includes detecting whether the oil level in the oil level barrel is within the range of the scale and the oil level of the oil level is not lower than the lowest scale line of the scale, the design aims at ensuring that the capacity of lubricating oil meets the standard, the valve state detection is to detect whether the valve is in an open state or not to ensure the pipeline to be smooth, the load state detection requires that the air compressor is in a no-load state before starting and enters a loading state after normal operation, the pressure detection and the temperature detection are to detect the pressure and the temperature of a main engine and a pressure container of the air compressor through a pressure sensor and a temperature sensor, if the pressure or the temperature is too high, the automatic alarm or the shutdown processing is carried out, and the pressure and the temperature of the air compressor can be ensured to be in the standard range through the arrangement.
In S2, the related data includes daily maintenance data including fault repair and other repair records, and the daily maintenance data includes data of air compressor status, which is designed to limit the daily maintenance data and ensure the reasonableness of data collection.
In S3, the raw data includes the original performance indexes such as the capacity index, the accuracy index, and the operation characteristic of the air compressor, the related technical characteristic indexes, and the characteristic parameter indexes of the maintenance state information of the air compressor.
In order to specifically limit the working standard of the maintenance state, in S3, the working standard of the maintenance state includes an operation specification, a maintenance specification, an overhaul specification, a state check and monitoring specification of the air compressor, and the purpose of the design is to perfect the daily maintenance standard and system of the air compressor and improve the level of management of the maintenance state of the air compressor.
In the step S4, the technical state information of the air compressor comprises daily inspection of a production air compressor, a lifting air compressor and a power air compressor, regular performance inspection of a production key air compressor and regular precision inspection of a precision air compressor, and the purpose of the design is to ensure that the technical state information of the air compressor meets the standard.
In S5, the detailed contents of the itinerant inspection and the handling are to timely eliminate or perform planned maintenance on abnormal signs and hidden troubles found in the inspection, so as to control and reduce the occurrence of faults and ensure the stability of the overall operating state of the air compressor.
The working principle is as follows: before the air compressor is started, an oil barrel lubricating oil state detection module, a valve state detection module, a load state detection module, a pressure detection module and a temperature detection module are used for detecting oil barrel lubricating oil state, valve state detection module, load state detection module, pressure detection module and temperature detection module of the air compressor, various states are continuously detected in the running process of the air compressor, daily maintenance data and air compressor state data are uploaded to a server, the server establishes original data as a reference according to the model of the air compressor, the original data comprise original performance indexes such as capacity index, precision index and running characteristic of the air compressor, related technical characteristic indexes and air compressor maintenance state information characteristic parameter indexes, and formulates a working standard of a maintenance state, the working standard of the maintenance state comprises an air compressor operation regulation, a maintenance regulation, an overhaul regulation and a state inspection and monitoring regulation, the server monitors technical state information of the air compressor through a monitoring module, the technical state information of the air compressor comprises daily inspection of a production air compressor, a lifting air compressor and a power air compressor, regular performance inspection of a production key air compressor and regular precision inspection of a precision air compressor, regular inspection of the sound state of the air compressor, precision detection and special container detection, establishment of a detection point, itinerant inspection and treatment according to a monitoring route of the detection point, timely elimination of abnormal signs and hidden dangers found in the inspection or planned maintenance, so that the occurrence of faults is controlled and reduced, and the stability of the integral operation state of the air compressor is ensured.
Although the present invention has been described with reference to specific embodiments, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention.
Claims (10)
1. An air compression intelligent operation and maintenance method based on the Internet of things is characterized by comprising the following steps:
s1: before the air compressor is started, various states of the air compressor are detected through a detection module;
s2: continuously detecting various states in the operation process of the air compressor, and uploading relevant data to a server;
s3: the server establishes original data as a reference according to the model of the air compressor and formulates a working standard of a maintenance state;
s4: the server monitors the technical state information of the air compressor through the monitoring module, regularly checks the intact state of the air compressor, detects the precision and the special container, and formulates a detection point;
s5: and performing itinerant inspection and processing according to the monitoring route of the detection point.
2. The air compression intelligent operation and maintenance method based on the internet of things as claimed in claim 1, wherein: in S1, the states include oil sump lubrication oil state detection, valve state detection, load state detection, pressure detection, and temperature detection.
3. The air compression intelligent operation and maintenance method based on the internet of things as claimed in claim 2, wherein: the oil distribution barrel lubricating oil state detection specifically detects whether oil distribution barrel lubricating oil is in a scale range or not, and the oil amount of the lubricating oil is not lower than the lowest scale mark of the scale.
4. The air compression intelligent operation and maintenance method based on the internet of things as claimed in claim 2, wherein: the valve state detection is specifically to detect whether the valve is in an open state, and the load state detection requires that the air compressor must be in a no-load state before being started.
5. The air compression intelligent operation and maintenance method based on the internet of things as claimed in claim 2, wherein: the specific content of the pressure detection and the temperature detection is that the pressure and the temperature of a main machine and a pressure container of the air compressor are detected through a pressure sensor and a temperature sensor, and if the pressure or the temperature is too high, an alarm is automatically given or the machine is stopped.
6. The air compression intelligent operation and maintenance method based on the internet of things as claimed in claim 1, wherein: in S2, the related data includes daily maintenance data and air compressor status data, and the daily maintenance data includes fault repair and other repair records.
7. The air compression intelligent operation and maintenance method based on the internet of things as claimed in claim 1, wherein: in S3, the raw data includes original performance indexes such as capacity index, accuracy index, and operation characteristic of the air compressor, and related technical characteristic indexes and characteristic parameter indexes of maintenance state information of the air compressor.
8. The air compression intelligent operation and maintenance method based on the internet of things as claimed in claim 1, wherein: in S3, the working standard of the maintenance state includes an operation procedure, a maintenance procedure, a repair procedure, and a state check and monitoring procedure of the air compressor.
9. The intelligent operation and maintenance method based on the internet of things and based on the internet of things as claimed in claim 1, wherein: in S4, the technical state information of the air compressor includes daily inspections of the production air compressor, the lifting air compressor and the power air compressor, regular performance inspections of the production key air compressor and regular precision inspections of the precision air compressor.
10. The air compression intelligent operation and maintenance method based on the internet of things as claimed in claim 1, wherein: in S5, the detailed content of the itinerant inspection and processing is to timely eliminate or perform planned maintenance on abnormal signs and hidden troubles found in the inspection.
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