CN112711680A - 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
- Publication number
- CN112711680A CN112711680A CN202011616580.9A CN202011616580A CN112711680A CN 112711680 A CN112711680 A CN 112711680A CN 202011616580 A CN202011616580 A CN 202011616580A CN 112711680 A CN112711680 A CN 112711680A
- Authority
- CN
- China
- Prior art keywords
- data
- controller
- air compressor
- server
- things
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000012423 maintenance Methods 0.000 title claims abstract description 30
- 238000000034 method Methods 0.000 title claims abstract description 25
- 230000006835 compression Effects 0.000 title claims abstract description 20
- 238000007906 compression Methods 0.000 title claims abstract description 20
- 238000012544 monitoring process Methods 0.000 claims abstract description 32
- 238000013500 data storage Methods 0.000 claims abstract description 10
- 238000012545 processing Methods 0.000 claims abstract description 9
- 230000002159 abnormal effect Effects 0.000 claims description 37
- 230000006870 function Effects 0.000 claims description 10
- 230000001105 regulatory effect Effects 0.000 claims description 7
- 230000005540 biological transmission Effects 0.000 claims description 6
- 230000001276 controlling effect Effects 0.000 claims description 6
- 238000003860 storage Methods 0.000 claims description 6
- 230000008569 process Effects 0.000 claims description 3
- 206010063385 Intellectualisation Diseases 0.000 abstract description 2
- 238000012986 modification Methods 0.000 description 4
- 230000004048 modification Effects 0.000 description 4
- 238000004458 analytical method Methods 0.000 description 2
- 230000007547 defect Effects 0.000 description 2
- 238000009826 distribution Methods 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000006073 displacement reaction Methods 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 229910052760 oxygen Inorganic materials 0.000 description 1
- 239000001301 oxygen Substances 0.000 description 1
- 238000013439 planning Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/903—Querying
- G06F16/90335—Query processing
-
- 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
- F04B49/00—Control, e.g. of pump delivery, or pump pressure of, or safety measures for, machines, pumps, or pumping installations, not otherwise provided for, or of interest apart from, groups F04B1/00 - F04B47/00
- F04B49/06—Control using electricity
- F04B49/065—Control using electricity and making use of computers
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/14—Error detection or correction of the data by redundancy in operation
- G06F11/1402—Saving, restoring, recovering or retrying
- G06F11/1446—Point-in-time backing up or restoration of persistent data
- G06F11/1458—Management of the backup or restore process
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/20—Administration of product repair or maintenance
-
- 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
- G16Y20/20—Information sensed or collected by the things relating to the thing itself
-
- 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
-
- 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
- G16Y40/20—Analytics; Diagnosis
-
- 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
- G16Y40/30—Control
-
- 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
- G16Y40/40—Maintenance of things
Abstract
The invention relates to the technical field of operation and maintenance methods, in particular to an air compression intelligent operation and maintenance method based on the Internet of things. 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. The remote monitoring of the air compressor is realized, the message application is pushed in time, and the intellectualization and the informatization degree of the air compressor group are improved.
Description
Technical Field
The invention relates to the technical field of operation and maintenance methods, in particular to an air compression intelligent operation and maintenance method based on the Internet of things.
Background
The air compression station house is a place for providing compressed air for factory production and is an important component of a power system. Most of existing air compression stations are adjusted through manual operation and variable pressure, professional technicians are required to wait at any time, and the air compression stations cannot be shut down in some important air supply scenes, so that the professional technicians are required to perform duty shift for 24 hours, a large number of operators are required to be matched, and therefore a method suitable for operation and maintenance of intelligent air compressor group regulation is needed, and the problems are solved.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provide an air compression intelligent operation and maintenance method based on the Internet of things.
The purpose of the invention is realized by the following technical scheme:
an air compression intelligent operation and maintenance method based on the Internet of things is characterized by comprising the following steps: comprises the following steps:
step 1: detecting whether the air compressor controller equipment meets operation and maintenance conditions;
step 2: accessing the protocol and the interface data to the air compressor controller equipment;
and step 3: the application scenario information is accessed into the controller,
and 4, step 4: acquiring functions in a controller according to requirements, and acquiring data information required by the functions from air compressor controller equipment by the controller;
and 5: processing the acquired data in a processor;
step 6: backing up and intensively forwarding the processed data storage modules to a server;
and 7: the server analyzes, queries, distributes and pushes the data set forwarded to the server.
Specifically, the controller processes the acquired data and then compares the acquired data with a pre-stored abnormal data group, when the data is abnormal and the abnormal data falls into the range of the abnormal data group, the controller immediately adopts the regulation and control means of the abnormal data group to regulate and control the air compressor control equipment through the controller, and meanwhile, the regulated and control information is transmitted to the storage module for backup and is forwarded to the server.
Specifically, in step 6, the server transmits the real-time data information to the control terminal through the wireless transmission module, and the control terminal transmits the modified data information to the server through the wireless transmission module.
Specifically, the overall monitoring system monitors data processed by the processor, judges whether a fault occurs or not, sends out an alarm to the control terminal through the server once the fault occurs, the regional monitoring system is used for monitoring data of the air compressor controller and controlling starting and stopping of the air compressor, and sends out an alarm to the control terminal through the regional monitoring system of the server once the fault occurs.
Specifically, the controller collects data information required by functions of the air compressor controller equipment through the multi-channel data collector.
Specifically, in the step 5, the processor also receives a task amount required by the system and sent by the server, calculates the required operation number and operation parameters of the air compressors according to the task amount, and transmits the operation number and operation parameters of the air compressors to the controller, and the controller adjusts the operation number and operation parameters of the air compressor group.
Specifically, the controller classifies tasks to be executed into a primary task and a secondary task, and preferentially executes the primary task when the primary task and the secondary task are simultaneously obtained.
Specifically, the regulation of the abnormal data set is a primary task, and the regulation of the task quantity required by the system is a secondary task.
Specifically, a plurality of application scene information are stored in the data storage module, when the regulation and control of the application scene information are also secondary tasks, the controller calls the application scene data of the data storage module when the application scene needs to be switched, and the operation parameters of the air compressor controller device are covered.
Specifically, when the controller receives two secondary tasks at the same time, one of the two secondary tasks is selected arbitrarily and executed preferentially.
Compared with the prior art, the invention has the following advantages and beneficial effects:
(1) according to the invention, the protocol and the interface data are accessed to the air compressor control equipment, so that the controller can acquire data information required by functions for the air compressor controller equipment; and then the data is processed, and the server analyzes, queries, distributes and pushes the processed data, so that the remote monitoring of the air compressor is realized, the message application is pushed in time, and the intellectualization and the informatization degree of the air compressor group are improved.
(2) According to the invention, the data of the processor and the air compressor controller equipment are respectively monitored by adopting the integral monitoring system and the regional monitoring system, double tracks are independently monitored and do not interfere with each other, and the monitoring efficiency of the monitoring system is improved; the invention also transmits the adjustment parameters to the processor and the controller through the server, thereby realizing the remote control of the air compressor group.
(3) According to the air compressor group control method, the abnormal data group is stored in the storage module, the processor can compare the acquired data with the data of the abnormal data group, when the data is abnormal and the abnormal data falls into the range of the abnormal data group, the control device of the air compressor is immediately controlled by the controller through the control means of the abnormal data group, the control of the air compressor group can be intelligently realized, the small defects do not need to be manually processed, and the intelligence of the air compressor group control is greatly improved.
Drawings
FIG. 1 is a flow chart of the present invention.
Detailed Description
The present invention will be described in further detail with reference to examples and drawings, but the present invention is not limited thereto.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used herein in the description of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
The specific implementation process of the invention is as follows:
as shown in fig. 1, an air compression intelligent operation and maintenance method based on the internet of things is characterized in that: comprises the following steps:
step 1: detecting whether the air compressor controller equipment meets operation and maintenance conditions;
step 2: accessing the protocol and the interface data to the air compressor controller equipment;
and step 3: the application scenario information is accessed into the controller,
and 4, step 4: acquiring functions in the controller according to requirements, manufacturing the controller and acquiring data information required by the functions from air compressor controller equipment;
and 5: processing the acquired data in a processor;
step 6: backing up and intensively forwarding the processed data storage modules to a server;
and 7: the server analyzes, queries, distributes and pushes the data set forwarded to the server.
In order to improve the processing capacity of the air compressor on some minor faults, an abnormal data group is recorded in a storage module and is input into the storage module according to experience by an engineer, the abnormal data group at least comprises a group of abnormal data range values and a group of abnormal data modification values, a controller compares the acquired data with a prestored abnormal data group after processing, when the data is abnormal and the abnormal data falls into the range of the abnormal data group, namely when the acquired data falls into the abnormal data range of the abnormal data group, the control device of the air compressor is immediately regulated and controlled by the controller by adopting a regulating and controlling means of the abnormal data group, the regulating and controlling means is to modify the abnormal data into the abnormal data modification values, and meanwhile, the regulated and controlled information is transmitted to the storage module for backup and is forwarded to a server, so that the whole system achieves stable balance again, it should be reminded that the abnormal data group not only adopts the modification of the abnormal data, but also can control the start and stop of the individual air compressor by controlling, and then modifies and updates the data again to make the air compressor system reach new balance, the abnormal data can be but not limited to the data of current, voltage, power, air displacement, etc., besides, most of the existing data regulation and control adopt the processor regulation and control, namely the collected original data is converted into the programming data, then the comparison processing is carried out, and then the programming data is transmitted back to the processor for regulation and control, the middle time consumption is too much, in the field of air compressors, the faults are urgent and dangerous, and the accident occurrence is often in milliseconds, the abnormal data group is directly converted into the original data by innovativeness, the controller directly compares the original data with the original data, when the original data is abnormal, the data are directly updated and replaced without being converted into a programming language for comparison in the processor, so that the processing timeliness is improved, the processing time is shortened, and the safety of the system is greatly improved.
In order to realize remote operation, in step 6, the server transmits the real-time data information to the control terminal through the wireless transmission module, and the control terminal transmits the modified data information to the server through the wireless transmission module. The interaction between the remote operation of the operator and the server is realized, and the operation and maintenance system is conveniently controlled remotely.
The method comprises the steps that an integral monitoring system and a regional monitoring system are adopted for monitoring, the integral monitoring system monitors data processed by a processor and judges whether a fault occurs, once the fault occurs, the integral monitoring system sends an alarm to a control terminal through a server, the integral monitoring system monitors programming data, the regional monitoring system is used for monitoring data of air compressor controller equipment and controlling starting and stopping of the air compressor, once the fault occurs, the regional monitoring system sends the alarm to the control terminal through the server, the regional monitoring system is mainly used for monitoring original data, the integral monitoring system and the regional monitoring system are adopted for respectively monitoring the data of the processor and the air compressor controller equipment, double-track independent monitoring is realized, mutual interference is avoided, the monitoring efficiency of the monitoring system is improved, and the monitoring system is reduced; the invention also transmits the adjustment parameters to the processor and the controller through the server, thereby realizing the remote control of the air compressor group.
Specifically, the controller collects data information required by functions of the air compressor controller equipment through the multi-channel data collector. The sensor signals are isolated, transmitted and converted through a multi-channel data acquisition unit, the signal input, the signal output and the power supply are isolated from each other, the channels do not interfere with each other, the anti-interference capability is strong, the data precision is high, and the reliability is good.
In order to facilitate the control of the intelligent operation and maintenance system, in step 5, the control terminal can also send a regulation and control instruction to the server through the communication module, the regulation and control instruction generally refers to the task quantity required by the air compressor system, including the air supply quantity, the power, the number of started air compressors and the like, the processor also receives the task quantity required by the system sent by the server, the processor calculates the required running number and running parameters of the air compressors according to the task quantity, and transmits the running number and running parameters of the air compressors to the controller, and the controller adjusts the running number and running parameters of the air compressor group. The air compressor can be manually regulated and controlled through the steps.
Because the air compressor controller needs to receive various tasks for regulation and control, when the air compressor controller receives a plurality of tasks at the same time, the relation of each task level needs to be processed, the controller classifies the tasks to be executed into a first-level task and a second-level task, and when the first-level task and the second-level task are obtained at the same time, the first-level task is preferentially executed. The regulation and control of the abnormal data set are primary tasks, and the regulation and control of the task quantity required by the system are secondary tasks. The data storage module is internally stored with a plurality of application scene information, when the regulation and control of the application scene information are also secondary tasks, the controller calls the application scene data of the data storage module when the application scene needs to be switched, and the operation parameters of the air compressor controller equipment are covered. When the controller receives two secondary tasks at the same time, one of the two secondary tasks is selected randomly and executed preferentially.
The invention can facilitate the management, planning, maintenance and oxygen-enriched maintenance of the air compressor group by the working personnel through the collection, arrangement and analysis of the data of the air compressor group. Data arrangement and analysis are carried out through adopting the server, external distribution and pushing are carried out, task distribution is carried out regularly, maintenance suggestions are obtained, and messages such as alarms and abnormity are pushed in time, a worker can remotely read a meter, the authority is set remotely, operation records are remotely checked, and the intelligence, safety and reliability of an operation and maintenance system are improved.
The above-mentioned embodiments only express the embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. An air compression intelligent operation and maintenance method based on the Internet of things is characterized by comprising the following steps: comprises the following steps:
step 1: detecting whether the air compressor controller equipment meets operation and maintenance conditions;
step 2: accessing the protocol and the interface data to the air compressor controller equipment;
and step 3: the application scenario information is accessed into the controller,
and 4, step 4: acquiring functions in a controller according to requirements, and acquiring data information required by the functions from air compressor controller equipment by the controller;
and 5: processing the acquired data in a processor;
step 6: backing up and intensively forwarding the processed data storage modules to a server;
and 7: the server analyzes, queries, distributes and pushes the data set forwarded to the server.
2. The air compression intelligent operation and maintenance method based on the Internet of things as claimed in claim 1, wherein: the controller processes the acquired data and then compares the acquired data with a pre-stored abnormal data group, when the data is abnormal and the abnormal data falls into the range of the abnormal data group, the controller immediately adopts a regulation and control means of the abnormal data group to regulate and control the air compressor control equipment through the controller, and meanwhile, the regulated and control information is transmitted to the storage module for backup and is forwarded to the server.
3. The air compression intelligent operation and maintenance method based on the Internet of things as claimed in claim 1, wherein: and 6, the server transmits the real-time data information to the control terminal through the wireless transmission module, and the control terminal transmits the modified data information to the server through the wireless transmission module.
4. The air compression intelligent operation and maintenance method based on the Internet of things as claimed in claim 1, wherein: the integral monitoring system monitors the data processed by the processor, judges whether a fault occurs or not, sends out an alarm to the control terminal through the server once the fault occurs, the regional monitoring system is used for monitoring the data of the air compressor controller equipment and controlling the starting and stopping of the air compressor, and sends out an alarm to the control terminal through the regional monitoring system of the server once the fault occurs.
5. The air compression intelligent operation and maintenance method based on the Internet of things as claimed in claim 1, wherein: the controller collects data information required by functions of the air compressor controller equipment through the multi-channel data collector.
6. The air compression intelligent operation and maintenance method based on the internet of things as claimed in claim 2, wherein: and 5, the processor also receives the task quantity required by the system sent by the server, calculates the required running quantity and running parameters of the air compressors according to the task quantity, transmits the running quantity and the running parameters of the air compressors to the controller, and adjusts the running quantity and the running parameters of the air compressor group by the controller.
7. The air compression intelligent operation and maintenance method based on the Internet of things as claimed in claim 6, wherein: the controller classifies tasks to be executed into a primary task and a secondary task, and preferentially executes the primary task when the primary task and the secondary task are obtained simultaneously.
8. The air compression intelligent operation and maintenance method based on the Internet of things as claimed in claim 7, wherein: the regulation and control of the abnormal data set are primary tasks, and the regulation and control of the task quantity required by the system are secondary tasks.
9. The air compression intelligent operation and maintenance method based on the internet of things as claimed in claim 8, wherein: the data storage module is internally stored with a plurality of application scene information, when the regulation and control of the application scene information are also secondary tasks, the controller calls the application scene data of the data storage module when the application scene needs to be switched, and the operation parameters of the air compressor controller equipment are covered.
10. The air compression intelligent operation and maintenance method based on the internet of things as claimed in claim 9, wherein: when the controller receives two secondary tasks at the same time, one of the two secondary tasks is selected randomly and executed preferentially.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011616580.9A CN112711680A (en) | 2020-12-31 | 2020-12-31 | Air compression intelligent operation and maintenance method based on Internet of things |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011616580.9A CN112711680A (en) | 2020-12-31 | 2020-12-31 | Air compression intelligent operation and maintenance method based on Internet of things |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112711680A true CN112711680A (en) | 2021-04-27 |
Family
ID=75547398
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011616580.9A Pending CN112711680A (en) | 2020-12-31 | 2020-12-31 | Air compression intelligent operation and maintenance method based on Internet of things |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112711680A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113250933A (en) * | 2021-06-16 | 2021-08-13 | 广东鑫钻节能科技股份有限公司 | Air compressor control system based on long-range fortune of thing networking is maintained |
| CN114876779A (en) * | 2022-04-24 | 2022-08-09 | 惠州市卓锐机电设备有限公司 | Air compression intelligent operation and maintenance method based on Internet of things |
Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090228151A1 (en) * | 2008-03-05 | 2009-09-10 | Chunghwa Telecom Co., Ltd. | Power demand control system for air conditioning equipment |
| JP2009293851A (en) * | 2008-06-05 | 2009-12-17 | Ntt Facilities Inc | Control method of air conditioning system |
| JP2011226737A (en) * | 2010-04-22 | 2011-11-10 | Sanki Eng Co Ltd | Air conditioning system for data center |
| CN106545490A (en) * | 2017-01-12 | 2017-03-29 | 南京智中信息技术有限公司 | A kind of vacuum pump energy-saving monitoring system and method |
| CN107762821A (en) * | 2017-09-08 | 2018-03-06 | 深圳市智物联网络有限公司 | A kind of air compressor monitoring method and system based on Internet of Things |
| CN108005893A (en) * | 2018-01-17 | 2018-05-08 | 万洲电气股份有限公司 | A kind of energy-saving air compressor machine analysis and diagnosis system and its control method |
| CN108131781A (en) * | 2017-12-29 | 2018-06-08 | Tcl空调器(中山)有限公司 | One kind is based on intelligent air condition visualization electric energy control method, system and storage medium |
| 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 |
| CN109578261A (en) * | 2018-11-15 | 2019-04-05 | 广州能之原科技股份有限公司 | A kind of compressor operation energy-saving control system |
| CN111043020A (en) * | 2019-12-26 | 2020-04-21 | 新奥数能科技有限公司 | Operation and maintenance monitoring method and device for air compressor |
| CN210405371U (en) * | 2019-08-16 | 2020-04-24 | 北京涵智博雅能源科技有限公司 | Air compression intelligent operation and maintenance system based on Internet of things |
| CN111399413A (en) * | 2020-03-25 | 2020-07-10 | 杭州哲达科技股份有限公司 | All-in-one machine device and method for monitoring running state of rotating equipment |
-
2020
- 2020-12-31 CN CN202011616580.9A patent/CN112711680A/en active Pending
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090228151A1 (en) * | 2008-03-05 | 2009-09-10 | Chunghwa Telecom Co., Ltd. | Power demand control system for air conditioning equipment |
| JP2009293851A (en) * | 2008-06-05 | 2009-12-17 | Ntt Facilities Inc | Control method of air conditioning system |
| JP2011226737A (en) * | 2010-04-22 | 2011-11-10 | Sanki Eng Co Ltd | Air conditioning system for data center |
| CN106545490A (en) * | 2017-01-12 | 2017-03-29 | 南京智中信息技术有限公司 | A kind of vacuum pump energy-saving monitoring system and method |
| CN107762821A (en) * | 2017-09-08 | 2018-03-06 | 深圳市智物联网络有限公司 | A kind of air compressor monitoring method and system based on Internet of Things |
| CN108131781A (en) * | 2017-12-29 | 2018-06-08 | Tcl空调器(中山)有限公司 | One kind is based on intelligent air condition visualization electric energy control method, system and storage medium |
| CN108005893A (en) * | 2018-01-17 | 2018-05-08 | 万洲电气股份有限公司 | A kind of energy-saving air compressor machine analysis and diagnosis system and its control method |
| 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 |
| CN109578261A (en) * | 2018-11-15 | 2019-04-05 | 广州能之原科技股份有限公司 | A kind of compressor operation energy-saving control system |
| CN210405371U (en) * | 2019-08-16 | 2020-04-24 | 北京涵智博雅能源科技有限公司 | Air compression intelligent operation and maintenance system based on Internet of things |
| CN111043020A (en) * | 2019-12-26 | 2020-04-21 | 新奥数能科技有限公司 | Operation and maintenance monitoring method and device for air compressor |
| CN111399413A (en) * | 2020-03-25 | 2020-07-10 | 杭州哲达科技股份有限公司 | All-in-one machine device and method for monitoring running state of rotating equipment |
Non-Patent Citations (2)
| Title |
|---|
| 张雪静;: "M251S型燃气轮机功率急降故障分析与处理", 天津冶金, no. 06 * |
| 袁宗泽;聂方;王福维;邓斌;: "CFA34空压机三级进气阀损坏故障分析及改进", 设备管理与维修, no. 05 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113250933A (en) * | 2021-06-16 | 2021-08-13 | 广东鑫钻节能科技股份有限公司 | Air compressor control system based on long-range fortune of thing networking is maintained |
| CN113250933B (en) * | 2021-06-16 | 2022-01-14 | 广东鑫钻节能科技股份有限公司 | Air compressor control system based on long-range fortune of thing networking is maintained |
| CN114876779A (en) * | 2022-04-24 | 2022-08-09 | 惠州市卓锐机电设备有限公司 | Air compression intelligent operation and maintenance method based on Internet of things |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112711680A (en) | Air compression intelligent operation and maintenance method based on Internet of things | |
| CN105352542A (en) | Panoramic state monitoring system for convertor station | |
| CN108173261B (en) | New energy grid-connected active high-reliability automatic control system | |
| CN110784017A (en) | Intelligent detection device and method for distribution transformer based on real-time data acquisition | |
| CN112713658A (en) | Intelligent control method and system for monitoring defects of power grid equipment | |
| CN112947328A (en) | Automatic control system for industrial furnace group | |
| CN208873025U (en) | A kind of storage batteries of transformer substation room dynamic environment intelligent controlling device | |
| CN114253201A (en) | Operating room management control system and method thereof | |
| CN112861421A (en) | Intelligent analysis early warning system and method for power equipment | |
| CN117040069A (en) | Electric power peak regulation system | |
| CN213240892U (en) | High-voltage automatic voltage regulation voltage stabilizer capable of being remotely regulated | |
| CN113485266B (en) | Nuclear power plant BOP process comprehensive control system and method | |
| CN112610459A (en) | Intelligent group control energy-saving system and method for air compressors | |
| CN108270293A (en) | Offshore boosting station switchgear house patrols control system and booster stations switchgear house | |
| CN114399891A (en) | Machine room intelligent monitoring operation and maintenance system and method based on Internet of things | |
| CN209925180U (en) | Air compressor control system for realizing function of Internet of things based on Bluetooth technology | |
| CN113034027A (en) | Intelligent manufacturing execution system for electronic components | |
| CN219733564U (en) | Intelligent fan cabin supervision system based on Thread module | |
| CN219642123U (en) | Auxiliary management system of large-scale thermal power plant decentralized control system | |
| CN218734718U (en) | Equipment data acquisition lamp, equipment monitoring system and equipment based on thing networking | |
| CN209746409U (en) | System for controlling screw pressurizing machine of power plant | |
| CN213879381U (en) | Monitoring system of electric power system | |
| CN109424530A (en) | A kind of air compressor machine fault remote processing method and system based on Internet of Things | |
| CN219536113U (en) | Data remote transmission system | |
| CN212991986U (en) | Wind-powered electricity generation field energy management supervisory equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |