CN110445830A - A kind of petrochemical industry Key generating unit equipment remote intelligent monitoring system - Google Patents
A kind of petrochemical industry Key generating unit equipment remote intelligent monitoring system Download PDFInfo
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- CN110445830A CN110445830A CN201910537337.9A CN201910537337A CN110445830A CN 110445830 A CN110445830 A CN 110445830A CN 201910537337 A CN201910537337 A CN 201910537337A CN 110445830 A CN110445830 A CN 110445830A
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 72
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- 238000003745 diagnosis Methods 0.000 claims abstract description 11
- 238000004171 remote diagnosis Methods 0.000 claims abstract description 9
- 238000007405 data analysis Methods 0.000 claims abstract description 4
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- 229910000831 Steel Inorganic materials 0.000 claims description 3
- 238000004092 self-diagnosis Methods 0.000 claims description 3
- 230000005236 sound signal Effects 0.000 claims description 3
- 229910001220 stainless steel Inorganic materials 0.000 claims description 3
- 239000010935 stainless steel Substances 0.000 claims description 3
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- 230000005540 biological transmission Effects 0.000 description 9
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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- G—PHYSICS
- G08—SIGNALLING
- G08C—TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
- G08C17/00—Arrangements for transmitting signals characterised by the use of a wireless electrical link
- G08C17/02—Arrangements for transmitting signals characterised by the use of a wireless electrical link using a radio link
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- H—ELECTRICITY
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- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
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- H04L67/025—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP] for remote control or remote monitoring of applications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/38—Services specially adapted for particular environments, situations or purposes for collecting sensor information
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Abstract
The invention discloses a kind of petrochemical industry Key generating unit equipment remote intelligent monitoring systems of technical field of petrochemical industry, including data acquisition subsystem, for the acquisition to initial data, and are transmitted to field monitoring subsystem;Field monitoring subsystem, for integrating existing monitoring data, and targetedly collecting method is configured according to the operation characteristic of equipment unit, it is effectively vibrated by data acquisition subsystem crawl analyzing and positioning equipment unit failure, temperature data, and according to the output order of remote diagnosis subsystem, intelligent alarm occurs;Remote diagnosis subsystem; equipment unit for monitoring to field monitoring subsystem carries out Remote Data Analysis and fault diagnosis; Internet of Things is built by the arrangement of sensor to solve the problems, such as data acquisition; by the shared and analysis for carrying out data with a large amount of intelligent algorithms; equipment fault, risk in bad repair is effectively reduced, reduces non-programmed halt, lifting component availability; efficient spare parts management promotes efficiency of operation.
Description
Technical Field
The invention relates to the technical field of petrochemical industry, in particular to a petrochemical industry key unit equipment remote intelligent monitoring system.
Background
The current operation and maintenance mode of enterprises mainly takes preventive maintenance and inspection of combination points and takes time as a basis. Although preventive maintenance ensures the safe operation of the device to a certain extent, it does involve a large amount of maintenance work. And point inspection usually can only find late faults, and rapid deterioration and sudden faults are usually difficult to find. The maintenance of the mobile equipment causes component failure and secondary damage due to missing of the optimal maintenance time.
In order to ensure the safe, stable and long-period operation of the machine pump equipment of an enterprise, the equipment is more scientifically overhauled and maintained so as to achieve the aims of improving the equipment utilization rate, reducing the overhaul cost and improving the operation efficiency, a real-time remote intelligent monitoring system is additionally arranged on the key machine pump equipment, the running state of the high-density monitoring equipment for 24 continuous hours, intelligent alarm screening abnormal equipment and remote expert real-time analysis and diagnosis are realized, the intelligent service of remote online nursing of a key unit is realized, the predictive maintenance of the unit is finally realized, and the real necessity is realized.
Based on the above, the invention designs a petrochemical engineering key unit equipment remote intelligent monitoring system to solve the above mentioned problems.
Disclosure of Invention
The invention aims to provide a petrochemical industry key unit equipment remote intelligent monitoring system, which solves the problem of data acquisition by setting up an Internet of things through arrangement of sensors, effectively reduces equipment mistake and overhaul risks, reduces unplanned shutdown, improves the component availability, efficiently manages spare parts, and improves operation efficiency by sharing and analyzing data through a large number of intelligent algorithms so as to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme: a petrochemical industry key unit equipment remote intelligent monitoring system comprises
The data acquisition subsystem is used for acquiring original data and transmitting the original data to the field monitoring subsystem;
the field monitoring subsystem is used for integrating the existing monitoring data, configuring a targeted data acquisition method according to the operating characteristics of the equipment unit, capturing, analyzing and positioning the effective vibration and temperature data of the equipment unit fault through the data acquisition subsystem, and generating intelligent alarm according to the output instruction of the remote diagnosis subsystem;
and the remote diagnosis subsystem is used for carrying out remote data analysis and fault diagnosis on the equipment set monitored by the field monitoring subsystem.
Preferably, the data acquisition subsystem comprises a plurality of wireless monitors, a wireless communication station and a power station, the wireless monitors acquire the running data of the equipment unit in real time and transmit the running data to the wireless communication station, the wireless communication station transmits the running data to the on-site monitoring server through a switch, and the power station is used for providing system power.
Preferably, the switch is an ethernet switch or a fiber switch.
Preferably, the intelligent alarm is automatically pushed short messages and mailboxes and is pushed by a mobile APP alarm.
Preferably, the wireless monitor adopts an RH505 acceleration sensor and is installed on a magnetic base, the magnetic base is installed at a key position of the equipment unit in a glue bonding mode, and a communication protocol between the wireless monitor and the wireless communication station is Zigbee2.4 GHz.
Preferably, the wireless communication station adopts an RH560 wireless communication station, the wireless communication station and the power supply station are arranged on a steel beam near the equipment unit through a support, and the support adopts a stainless steel structure.
Preferably, the field monitoring subsystem includes a state analysis module configured to configure a targeted data acquisition method according to an operation characteristic of the equipment unit, where the data acquisition method includes an equipment operation trend, a time domain waveform, a frequency spectrum, multiple time domains, multiple frequency spectrums, multiple trends, a long waveform, a waterfall graph, a rotation speed waveform, a cepstrum, and an envelope demodulation spectrum.
Preferably, the on-site monitoring subsystem further comprises a state monitoring module, a state analysis module, an index analysis module, a report and report statistics module, a self-diagnosis module and a system configuration module
Preferably, the on-site monitoring subsystem is further provided with a server for storing the equipment unit state data transmitted by the wireless communication station and accessing the on-site monitoring subsystem through a computer terminal.
Preferably, the on-site monitoring subsystem further comprises a remote receiver module, and the long-wave form which lasts for several minutes and is collected by the state analysis module is converted into a sound signal to be played.
Compared with the prior art, the invention has the beneficial effects that: the remote intelligent monitoring system for key petrochemical unit equipment is applied to enterprises, the problem of data acquisition is solved by setting up the Internet of things through the arrangement of sensors, and data sharing and analysis are performed by applying a large number of intelligent algorithms, so that a client is helped to realize all-around intelligent monitoring of the equipment, the risks of equipment mistake and overhaul are effectively reduced, and unplanned shutdown is reduced; carry out full life cycle management, promote the part availability, high-efficient spare parts management promotes operation efficiency.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a system architecture diagram of the present invention;
FIG. 2 is a schematic diagram of an intelligent alarm process according to the present invention;
FIG. 3 is a schematic block diagram of the on-site monitoring subsystem of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-3, the present invention provides a technical solution: a petrochemical industry key unit equipment remote intelligent monitoring system comprises
The data acquisition subsystem 1 is used for acquiring original data and transmitting the original data to the field monitoring subsystem 2;
the field monitoring subsystem 2 is used for integrating existing monitoring data, configuring a targeted data acquisition method according to the operating characteristics of the equipment unit 8, capturing, analyzing and positioning vibration and temperature data of the equipment unit 8 with effective faults through the data acquisition subsystem 1, and generating intelligent alarm according to an output instruction of the remote diagnosis subsystem 3;
and the remote diagnosis subsystem 3 is used for performing remote data analysis and fault diagnosis on the equipment unit 8 monitored by the field monitoring subsystem 2, performing precise analysis on data, issuing an equipment diagnosis conclusion and an inspection and maintenance suggestion, and submitting a diagnosis report, thereby providing a targeted maintenance guidance suggestion for the field.
Wherein, data acquisition subsystem 1 includes a plurality of wireless monitor 4, a wireless communication station 5 and power station, and a plurality of wireless monitor 4 carry out the real-time collection of 8 operation data of equipment unit to transmit to wireless communication station 5 in, wireless communication station 5 transmits to on-the-spot monitoring server 7 through switch 6, and the power station is used for providing system's electric power, wireless monitor 4 adopts RH505 acceleration sensor, installs on the magnetism seat, and the magnetism seat passes through the mode that glue bonds and installs the key position at equipment unit 8, and the communication agreement between wireless monitor 4 and the wireless communication station 5 is Zigbee 2.4GHz. The intelligent wireless monitor 4 adopts a nondestructive installation mode of magnetic seat and strong bonding, and is matched with a high-capacity battery with the service life of 2 years, so that the field implementation and maintenance cost is reduced, and the field inspection and maintenance work is simplified.
Wherein, the switch 6 is an ethernet switch 6 or an optical fiber switch 6.
The intelligent alarm is used for automatically pushing short messages and mailboxes and pushing mobile APP alarms.
Wherein,
RH505 acceleration sensing, which integrates sensor, data acquisition and data transmission, and realizes vibration measurement and temperature measurement; the method realizes the care of steady-state and unsteady-state equipment, and static data (total value) and dynamic data (frequency spectrum) transmission; the Zigbee wireless communication protocol is simple, reliable and safe, provides a wireless monitoring mode for key equipment such as pump groups and fan groups, and is particularly suitable for enterprises which are not suitable for installing and wiring in a factory range; the intrinsic safety type explosion-proof design is adopted.
Combining the structural characteristics of enterprise equipment, the following measuring point configuration is adopted for the key unit suggestion: 30 RH505 acceleration sensors are selected in total, and a crude oil double-support pump is arranged between P1 and P5, and the free end 1H of a motor, the load end 2H of the motor, the load end 3H of a pump, the load end 3V of the pump, the free end 4H of the pump and the free end 4A of the pump are respectively connected. The measuring points are distributed by conventional equipment measuring points, and a specific measuring point distribution scheme needs to be determined by field investigation in combination with an equipment structure diagram.
Can detect 8 power frequency faults of key equipment unit, including basic fault: the foundation of the motor and the gear box is loosened, the structure is loosened and the structure resonates; unbalance: the motor rotor is unbalanced, and the gear of the height shaft of the gear box is unbalanced; misalignment: the axial lines of the shafting are not coincident; resonance failure: the running frequency of the motor and the gear box is consistent with the resonance frequency of the component. The damage of mechanical parts of the key equipment unit 8 can be detected, including the peeling of the inner rings of the motor, the gear box and the shaft system, the peeling of the outer ring, the peeling of the rolling body, the scraping and the breaking of the retainer, the dynamic and static friction of the bearing, the rotation and the loosening of the inner ring and the outer ring, the matching of the loosening shaft current and the like, the faults of poor meshing, tooth breakage, eccentric wear and the like of the gear box, and the abrasion and the tearing of.
The wireless communication station 5 adopts an RH560 wireless communication station 5, the wireless communication station 5 and the power supply station are arranged on a steel beam near the equipment unit 8 through a support, and the support is of a stainless steel structure.
And one RH560 wireless communication station 5 is adopted, zero laying of cables is realized, and the field implementation and maintenance difficulty of monitoring is obviously reduced. The system supports 60 vibration sensors and 1 rotating speed sensor, integrates vibration measurement, temperature measurement and rotating speed, and realizes monitoring of stable and unstable equipment; data acquisition strategies of various trigger modes, synchronous acquisition, rotating speed trigger acquisition, alarm trigger acquisition and the like; the method supports the storage of the data of the broken network, and avoids the loss of the monitoring data; the communication mode is various: communication modes such as Ethernet, optical fiber and WiFi are supported, and the system is suitable for use scenes of different industrial fields; IP66 protection level, ExiallCT4 intrinsically safe explosion proof certification. The anti-interference ability is strong, the wireless transmission distance of data is far, the system implementation only needs power cord laying, and all 'zero' cables are laid for information transmission between the monitor and the data acquisition unit and data transmission between the monitor and the server 7.
The field monitoring subsystem 2 includes a state analysis module configured to configure a targeted data acquisition method according to an operation characteristic of the equipment unit 8, where the data acquisition method includes an equipment operation trend, a time domain waveform, a frequency spectrum, a multi-time domain, a multi-frequency spectrum, a multi-trend, a long waveform, a waterfall graph, a rotation speed waveform, a cepstrum, and an envelope demodulation spectrum.
The on-site monitoring subsystem 2 further comprises a state monitoring module, a state analysis module, an index analysis module, a report and report statistics module, a self-diagnosis module and a system configuration module.
The on-site monitoring subsystem 2 is further provided with a server 7 for storing state data of the equipment unit 8 transmitted by the wireless communication station 5 and accessing the on-site monitoring subsystem 2 through a computer terminal.
The field monitoring subsystem 2 further comprises a remote receiver module, the long-wave shape collected by the state analysis module and lasting for a plurality of minutes is converted into a sound signal to be played, the important significance is achieved for auxiliary judgment of low-speed gear fault location of the reduction gearbox, meanwhile, the function of the remote receiver is developed, so that field personnel can monitor operation of the equipment side in an office, and the workload of field point inspection personnel is greatly saved.
The specific working principle is as follows: the data acquisition subsystem 1 adopts a nondestructive installation mode of magnetic seat and strong adhesion through the wireless monitor 4, and is matched with a high-capacity battery with the service life of 2 years, so that the field implementation and maintenance cost is reduced, and the field inspection and maintenance work is simplified. The wireless monitor can realize the synchronous acquisition of vibration and temperature, and the early warning of sudden faults of the unit is effectively realized on the basis of realizing the monitoring of the traditional mechanical faults by double monitoring of vibration and temperature data, so that the operation reliability of the unit is improved.
Utilize intelligent wireless monitor 4, realize the automatic acquisition, processing and transmission of unit vibration, temperature signal, the data acquisition tactics automatically regulated of unusual equipment easily realizes the unmanned on duty monitoring of equipment. The system ensures the accuracy and timeliness of the alarm information of the abnormal equipment through an intelligent alarm system combining various signals and various alarm mechanisms, and realizes the safe nursing of all monitoring equipment.
The intelligent wireless monitoring system adopts an industrial frequency band design, has strong anti-interference capability and long data wireless transmission distance, only needs a power line to be laid when the system is implemented, and all 'zero' cables are laid for information transmission between the monitor and the data acquisition unit and data transmission between the monitor and the server 7.
The remote diagnosis subsystem 3 is a platform for centralized remote intelligent monitoring of the equipment, namely RAS 3000. Through the system platform, equipment abnormity can be found in time through an intelligent alarm strategy, accurate analysis of the unit state is realized through a remote expert consultation function, the root cause of problems and potential faults existing in the unit state are found out, huge economic losses caused by potential faults and batch problem shutdown are avoided, and meanwhile, the mechanical parts are utilized to the maximum extent through analysis of the root cause of the potential faults and service life prediction of damaged parts. The expert guides the field inspection and maintenance actions through the medical examination report and the diagnosis report.
1) Based on big data of the equipment running state, a diagnosis expert can predict equipment faults in advance, professional analysis can be carried out based on complete data, faults are accurately positioned, fault root causes are analyzed, the fault degradation trend is monitored, the rolling prediction of the service life of the equipment is realized, temporary and unscheduled maintenance is converted into planned maintenance through maintenance decision, and unscheduled shutdown is reduced;
2) the workload of field personnel is reduced, the working pressure of professional personnel is reduced, the nursing working pressure of equipment is transferred from equipment managers to background diagnosis experts of a company for learning, and the professional personnel have more time to carry out deep research on the equipment state in an enterprise;
3) and (3) evaluating the state of the equipment after maintenance: after the equipment is overhauled, through the real-time remote intelligent monitoring system, the diagnosis expert can independently evaluate the overhaul quality of the site or a third-party cooperative unit, and the reliability of the overhaul quality of the equipment is ensured.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise embodiments disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (10)
1. The utility model provides a long-range intelligent monitoring system of key unit equipment of petrochemical, its characterized in that: comprises that
The data acquisition subsystem is used for acquiring original data and transmitting the original data to the field monitoring subsystem;
the field monitoring subsystem is used for integrating the existing monitoring data, configuring a targeted data acquisition method according to the operating characteristics of the equipment unit, capturing, analyzing and positioning the effective vibration and temperature data of the equipment unit fault through the data acquisition subsystem, and generating intelligent alarm according to the output instruction of the remote diagnosis subsystem;
and the remote diagnosis subsystem is used for carrying out remote data analysis and fault diagnosis on the equipment set monitored by the field monitoring subsystem.
2. The petrochemical engineering key unit equipment remote intelligent monitoring system according to claim 1, characterized in that: the data acquisition subsystem comprises a plurality of wireless monitors, a wireless communication station and a power station, the wireless monitors acquire running data of the equipment unit in real time and transmit the running data to the wireless communication station, the wireless communication station transmits the running data to the on-site monitoring server through the switch, and the power station is used for providing system power.
3. The petrochemical engineering key unit equipment remote intelligent monitoring system according to claim 1, characterized in that: the switch is an Ethernet switch or a fiber switch.
4. The petrochemical engineering key unit equipment remote intelligent monitoring system according to claim 1, characterized in that: the intelligent alarm is automatically pushed short messages and mailboxes and is pushed by a mobile APP alarm.
5. The petrochemical engineering key unit equipment remote intelligent monitoring system according to claim 2, characterized in that: the wireless monitor adopts RH505 acceleration sensor, installs on the magnetism seat, and the magnetism seat is installed at the key position of equipment unit through the mode that glue bonds, and the communication protocol between wireless monitor and the wireless communication station is Zigbee2.4 GHz.
6. The petrochemical engineering key unit equipment remote intelligent monitoring system according to claim 5, characterized in that: the wireless communication station adopts RH560 wireless communication station, and wireless communication station and power station pass through the support mounting on the girder steel near the equipment unit, and the support adopts stainless steel construction.
7. The petrochemical engineering key unit equipment remote intelligent monitoring system according to claim 1, characterized in that: the field monitoring subsystem comprises a state analysis module and is used for configuring a targeted data acquisition method according to the operation characteristics of the equipment unit, wherein the data acquisition method comprises equipment operation trend, time domain waveform, frequency spectrum, multi-time domain, multi-spectrum, multi-trend, long waveform, waterfall diagram, rotating speed waveform, cepstrum and envelope demodulation spectrum.
8. The petrochemical engineering key unit equipment remote intelligent monitoring system according to claim 7, characterized in that: the on-site monitoring subsystem further comprises a state monitoring module, a state analysis module, an index analysis module, a report and report statistics module, a self-diagnosis module and a system configuration module.
9. The petrochemical engineering key unit equipment remote intelligent monitoring system according to claim 8, characterized in that: the on-site monitoring subsystem is also provided with a server for storing the equipment unit state data transmitted by the wireless communication station and accessing the on-site monitoring subsystem through a computer terminal.
10. The petrochemical engineering key unit equipment remote intelligent monitoring system according to claim 9, characterized in that: the on-site monitoring subsystem further comprises a remote receiver module which converts the long wave shape which lasts for several minutes and is collected by the state analysis module into a sound signal to be played.
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Application publication date: 20191112 |