CN107037800B - Fault diagnosis method based on remote fault diagnosis system of client-side oxygen generating equipment - Google Patents
Fault diagnosis method based on remote fault diagnosis system of client-side oxygen generating equipment Download PDFInfo
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- CN107037800B CN107037800B CN201710455096.4A CN201710455096A CN107037800B CN 107037800 B CN107037800 B CN 107037800B CN 201710455096 A CN201710455096 A CN 201710455096A CN 107037800 B CN107037800 B CN 107037800B
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- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 title claims abstract description 169
- 229910052760 oxygen Inorganic materials 0.000 title claims abstract description 169
- 239000001301 oxygen Substances 0.000 title claims abstract description 169
- 238000003745 diagnosis Methods 0.000 title claims abstract description 57
- 238000000034 method Methods 0.000 title claims abstract description 16
- 238000003860 storage Methods 0.000 claims abstract description 11
- 238000012544 monitoring process Methods 0.000 claims abstract description 7
- 238000004458 analytical method Methods 0.000 claims abstract description 5
- 238000004519 manufacturing process Methods 0.000 claims description 13
- 238000001179 sorption measurement Methods 0.000 claims description 7
- 239000000969 carrier Substances 0.000 claims description 3
- 238000001514 detection method Methods 0.000 claims description 3
- 238000012423 maintenance Methods 0.000 abstract description 10
- 238000004891 communication Methods 0.000 description 5
- 230000004630 mental health Effects 0.000 description 2
- 206010021143 Hypoxia Diseases 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- XPYGGHVSFMUHLH-UUSULHAXSA-N falecalcitriol Chemical compound C1(/[C@@H]2CC[C@@H]([C@]2(CCC1)C)[C@@H](CCCC(O)(C(F)(F)F)C(F)(F)F)C)=C\C=C1\C[C@@H](O)C[C@H](O)C1=C XPYGGHVSFMUHLH-UUSULHAXSA-N 0.000 description 1
- 230000002035 prolonged effect Effects 0.000 description 1
- 238000004904 shortening Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
-
- 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]
Abstract
The remote fault diagnosis system based on the client-side oxygen generating equipment and the fault diagnosis method thereof comprise a site oxygen generating station and a remote technical service center which communicates with the site oxygen generating station through a network, wherein the site oxygen generating station is distributed in different areas and different positions, and the remote technical service center comprises: the system comprises a service center router connected with a site oxygen generating station through a network, a data server for receiving data of the site oxygen generating station for analysis and storage, a WEB server for extracting data in the data server and issuing a webpage, a switch for data sharing and a remote client for remote monitoring and fault diagnosis and feeding back diagnosis results to the site oxygen generating station, wherein the service center router is connected with the site oxygen generating station through the network in sequence. The invention realizes the real-time monitoring of the operation state of the on-site oxygen generating equipment by the expert system of the remote technical service center or the professional maintenance engineer, and gives out a solution by performing fault diagnosis analysis on the collected data, thereby effectively improving the maintenance efficiency.
Description
Technical Field
The invention relates to remote fault diagnosis of oxygen generating equipment. In particular to a remote fault diagnosis system and a fault diagnosis method based on client-side oxygen generating equipment.
Background
The existing medical oxygen generating equipment does not have a remote fault diagnosis function and a site fault query function, an operator is generally unfamiliar with an oxygen generating principle and an equipment structure, once the oxygen generating equipment fails, the operator cannot know a fault reason and is difficult to communicate with a factory technician in a telephone way, the remote technician cannot timely and accurately know the actual condition of equipment operation, only can go to site maintenance, sometimes even the factory maintenance is required after individual matched equipment or parts are disassembled, so that the production stopping and maintenance time is overlong, one or two weeks are shortened, and half a year is prolonged, and the problem can not be solved in some places even more than one year, such as a certain altitude side protection unit, which seriously affects the use of users, causes great economic loss to hospitals, and the oxygen deficiency problem can not be timely solved for the altitude and the mental health are greatly affected. Based on the reasons, a remote fault diagnosis system based on the client-side oxygen generating equipment needs to be developed, the equipment stability is improved, and meanwhile, an informationized maintenance function is realized, so that remote fault diagnosis and maintenance can be realized.
Disclosure of Invention
The invention aims to solve the technical problem of providing a remote fault diagnosis system and a fault diagnosis method for client-based oxygen generating equipment, which can monitor and remotely diagnose faults of a plurality of oxygen generating stations at the same time.
The technical scheme adopted by the invention is as follows: the remote fault diagnosis system based on the client-side oxygen generating equipment comprises a site oxygen generating station and a remote technical service center which communicates with the site oxygen generating station through a network, wherein the site oxygen generating station is distributed in different areas and different positions, and the remote technical service center comprises: the system comprises a service center router connected with the on-site oxygen generating station through a network, a data server for receiving data of the on-site oxygen generating station for analysis and storage, a WEB server for extracting the data in the data server and issuing a webpage, a switch for data sharing and a remote client for remote monitoring and fault diagnosis and feeding back diagnosis results to the on-site oxygen generating station, wherein the service center router is connected with the on-site oxygen generating station through the network in sequence.
The on-site oxygen generation station comprises: the remote control terminal is connected with the inquiry machine, and the remote router is connected with a service center router in the remote technical service center through a network.
The remote control terminal is in wireless communication with a mobile phone of an operator in the on-site oxygen generating station.
A fault diagnosis method for a remote fault diagnosis system based on a client-side oxygen plant, comprising the steps of:
1) The query machine and the data server acquire temperature, pressure and flow parameters of the oxygen generating equipment acquired by each sensor in the oxygen generating equipment through a remote control terminal of the on-site oxygen generating station, the running state of the oxygen generating equipment and fault signals of detection points of the oxygen generating equipment;
2) Judging whether the air compressor, the cold dryer, the oxygen generator, the oxygen compressor and one or more than one of the sensors are in failure through failure signals, if so, performing failure alarm through a query machine of an on-site oxygen generation station, a data server of a remote technical service center, a WEB server and a remote client respectively, and entering into the step 3); otherwise, displaying the temperature, pressure and flow parameters of the oxygen generating equipment on the main interfaces of the inquiring machine of the on-site oxygen generating station, the data server of the remote technical service center, the WEB server and the remote client, and the running state of the oxygen generating equipment;
3) Displaying fault phenomena on fault diagnosis interfaces of a query machine of an on-site oxygen generation station, a data server of a remote technical service center, a WEB server and a remote client; then enter step 4);
4) Confirming a fault carrier and a fault reason; comprising the following steps:
judging whether the exhaust pressure of the air compressor is smaller than a set pressure value, if yes, entering step 5), otherwise, continuously judging whether the value of the air compressor outlet temperature minus the air compressor outlet temperature is smaller than a set value, if yes, entering step 5), otherwise, continuously judging whether the air compressor outlet temperature is larger than the set value, if yes, entering step 5), otherwise, continuously judging whether the motor of the oxygen compressor is in normal operation, if not, entering step 5), continuously judging whether the sensor signal is in normal operation, if not, entering step 5), otherwise, continuously judging whether the oxygen concentration of the oxygen producing host is smaller than a normal value, if yes, entering step 5), otherwise, continuously judging whether the oxygen flow of the oxygen producing host is smaller than the normal value, if yes, entering step 5), otherwise, continuously judging whether the starting point signal of the oxygen producing host is 1, if yes, entering step 5), otherwise, ending.
5) Displaying fault carriers and fault reasons on main interfaces of a query machine of an on-site oxygen generation station, a data server of a remote technical service center, a WEB server and a remote client respectively;
6) Storing fault information into a database in a data server for data record storage;
7) Judging whether the frequency of the same fault occurring in the set time is greater than the set frequency, if so, outputting a corresponding report form through a query machine of the oxygen generating station, a data server of a remote technical service center, a WEB server and a fault diagnosis computer, otherwise, ending;
the operation state in the step 1) comprises an air inlet pressure value, an adsorption pressure value, an oxygen storage pressure value, an oxygen concentration value, an oxygen production flow and an oxygen production equipment stop when the oxygen production equipment is operated.
The report content of the step 3) comprises the following steps: time of occurrence of fault, fault category, fault prompt information and parameters related to fault.
Whether the sensor signal in the step 4) is normal or not includes: whether is one or more of the disconnection of an air inlet pressure sensor, the disconnection of an oxygen storage pressure sensor, the disconnection of an adsorption pressure sensor, the disconnection of an oxygen concentration sensor, the disconnection of a cold dryer outlet temperature sensor, the disconnection of a cold dryer outlet pressure sensor, the disconnection of an air compressor exhaust pressure sensor and the disconnection of an air compressor exhaust temperature sensor.
According to the remote fault diagnosis system and the diagnosis method for the oxygen generating equipment, any user in the remote fault diagnosis system based on the client-side oxygen generating equipment can know the fault cause through the client-side inquiry machine of the system, and a solution is obtained. The invention can monitor and record the parameters of adsorption pressure, oxygen production flow, oxygen concentration and the like of oxygen production equipment; remotely monitoring start-stop of oxygen generating equipment and acquiring the running state of the oxygen generating equipment; performing remote fault diagnosis of the oxygen plant according to a large amount of fault data and providing a solution; recording and reading fault records; a client in various forms consisting of a webpage and an application program; and the short message reminding device is compatible with multiple sets of oxygen generating equipment when in fault. The fault diagnosis method is high in reliability. The invention realizes the real-time monitoring of the operation state of the on-site oxygen generating equipment by the expert system of the remote technical service center or the professional maintenance engineer, and carries out fault diagnosis analysis through the collected data, and gives a solution to the problem that the user solves the faults of the oxygen generating equipment in the first time, thereby greatly shortening the maintenance period, effectively improving the maintenance efficiency, obviously reducing the economic loss caused by fault shutdown and effectively guaranteeing the physical and mental health of plateau officers and soldiers.
Drawings
FIG. 1 is a block diagram of the overall construction of a remote fault diagnosis system based on a client-side oxygen plant of the present invention;
fig. 2 is a flow chart of a fault diagnosis method for a remote fault diagnosis system based on a client-side oxygen plant of the present invention.
In the figure
1: on-site oxygen production station 11: oxygen generating equipment
12: PLC controller 13: remote control terminal
14: remote router 15: inquiry machine
16: attendant cell-phone 2: remote technical service center
21: service center router 22: data server
23: WEB server 24: switch board
25: remote client 3: network system
Detailed Description
The remote fault diagnosis system and the fault diagnosis method based on the client-side oxygen generating equipment are described in detail below with reference to the embodiment and the attached drawings.
As shown in fig. 1, the remote fault diagnosis system based on the client-side oxygen generating equipment of the present invention includes a site oxygen generating station 1 and a remote technical service center 2 communicating with the site oxygen generating station 1 through a network 3, wherein the site oxygen generating station 1 is the site oxygen generating station 1 distributed in different areas and different positions, and the remote technical service center 2 includes: the system comprises a service center router 21 connected with the on-site oxygen generating station 1 through a network 3, a data server 22 for receiving data of the on-site oxygen generating station 1, analyzing and storing the data and feeding back the result to the on-site oxygen generating station 1, a WEB server 23 for receiving data of the on-site oxygen generating station 1 and issuing WEB pages, a switch 24 for exchanging data and a remote client 25 for remote downloading, remote monitoring and fault diagnosis and feeding back the diagnosis result to the on-site oxygen generating station 1, which are sequentially connected.
The on-site oxygen generation station 1 comprises: the remote control terminal 13 is also connected with the inquiring machine 15, and the remote router 14 is connected with the service center router 21 in the remote technical service center 2 through the network 3. The remote control terminal 13 is in wireless communication with a mobile phone 16 of an attendant in the on-site oxygen generating station 1. Wherein, the model of the inquiry machine 15 can select Hishida or Xinhai vision; the communication mode between the PLC controller 12 and the oxygen generating device 11 is related to the model of the PLC controller 12, if the model of the PLC controller 12 is OMRON CP1H, the communication mode is hostlink, and if the model of the PLC controller 12 is Horner Exl6e, the communication mode is Modbus RTU; the model of the remote control terminal 13 may select the GRM 500NY series or the GRM 501N2Y.
The remote fault diagnosis system based on the client-side oxygen generating equipment has the working principle that: the PLC controller 12 communicates with the oxygen plant 11 to convert the flow, temperature, pressure and fault signal parameters in the oxygen plant 11 into digital signals recognizable by the remote control terminal 13. The remote control terminal 13 communicates with the PLC controller 12, and analyzes the commands of the inquiring machine 15 and the remote client 25 to the PLC controller 12, and the PLC controller 12 controls the oxygen generating apparatus 11.
The remote control terminal 13 transmits the parameters of the oxygen generating equipment 11 to the data server 22 at the remote technical service center 2 side through the internet of things, and the remote client 25 obtains the data in the data server 22 through the local area network, so that the oxygen generating equipment 11 is monitored, analyzed and subjected to fault diagnosis.
The inquiry machine 15 communicates with the remote control terminal 13 through the ethernet, the remote control terminal 13 transmits the parameter data of the oxygen generating equipment to the inquiry machine 15, and the inquiry machine 15 monitors the oxygen generating equipment 11.
When the oxygen generating equipment 11 has a fault, the oxygen generating control terminal 13 has a short message alarming function, fault information can be sent to a mobile phone 16 of an attendant in a short message mode, and the attendant inquires the fault information of the oxygen generating equipment through the mobile phone.
The fault information of the oxygen generating equipment is transmitted to a remote client 25 at the side of the remote technical service center 2 through the Internet by a remote control terminal 13, and expert personnel perform fault diagnosis and propose solutions through experience, oxygen generating equipment data analysis and solutions in a database.
As shown in fig. 2, the fault diagnosis method based on the remote fault diagnosis system of the client-side oxygen generating equipment of the invention comprises the following steps:
1) The query machine and the data server acquire temperature, pressure and flow parameters of the oxygen generating equipment acquired by each sensor in the oxygen generating equipment through a remote control terminal of the on-site oxygen generating station, the running state of the oxygen generating equipment and fault signals of detection points of the oxygen generating equipment; the operation state comprises an air inlet pressure value, an adsorption pressure value, an oxygen storage pressure value, an oxygen concentration value, an oxygen production flow and an oxygen production equipment stop state when the oxygen production equipment is operated.
2) Judging whether the air compressor, the cold dryer, the oxygen generator, the oxygen compressor and one or more than one of the sensors are in fault through fault signals, if so, carrying out fault alarm through a query machine of an oxygen generating station, a data server of a remote technical service center, a WEB server and a fault diagnosis computer respectively, and entering into the step 3); otherwise, displaying the temperature, pressure and flow parameters of the oxygen generating equipment on the main interfaces of the inquiring machine of the on-site oxygen generating station, the data server of the remote technical service center, the WEB server and the remote client, and the running state of the oxygen generating equipment;
3) Displaying fault phenomena on fault diagnosis interfaces of a query machine of an on-site oxygen generation station, a data server of a remote technical service center, a WEB server and a remote client; then enter step 4);
the report content comprises: time of occurrence of fault, fault category, fault prompt information and parameters related to fault.
4) Confirming a fault carrier and a fault reason; comprising the following steps:
judging whether the exhaust pressure of the air compressor is smaller than a set pressure value, if yes, judging whether the exhaust pressure of the air compressor is faulty, entering step 5), if not, continuously judging whether the value of the air compressor outlet temperature minus the air compressor outlet temperature is smaller than a set value, if yes, judging whether the air compressor outlet temperature is larger than the set value, if yes, judging whether the air compressor is faulty, entering step 5), if not, continuously judging whether the motor of the oxygen compressor is normal, if yes, judging whether the motor of the oxygen compressor is faulty, entering step 5), if normal, continuously judging whether the sensor signal is normal, if not, judging whether the oxygen concentration of the oxygen producing host is smaller than a normal value, if yes, judging whether the oxygen flow of the oxygen producing host is smaller than the normal value, entering step 5), if yes, judging whether the oxygen flow is faulty, entering step 5), if not, continuously judging whether the starting point signal of the oxygen producing host is 1, if yes, entering step 5), otherwise, ending;
whether the sensor signal is normal or not comprises: whether the air inlet pressure sensor is disconnected, the oxygen storage pressure sensor is disconnected, the adsorption pressure sensor is disconnected, the oxygen concentration sensor is disconnected, the cold dryer outlet temperature sensor is disconnected, the cold dryer outlet pressure sensor is disconnected, the air compressor exhaust pressure sensor is disconnected and the air compressor exhaust temperature sensor is disconnected;
5) Displaying fault carriers and fault reasons on main interfaces of a query machine of an on-site oxygen generation station, a data server of a remote technical service center, a WEB server and a remote client respectively;
6) Storing fault information into a database in a data server for data record storage;
7) And judging whether the frequency of the same fault in the set time is greater than the set frequency, if so, outputting a corresponding report through a query machine of the oxygen generating station, a data server of a remote technical service center, a WEB server and a fault diagnosis computer, otherwise, ending.
Claims (4)
1. The fault diagnosis method based on the remote fault diagnosis system of the client-side oxygen generating equipment comprises a site oxygen generating station (1) and a remote technical service center (2) which communicates with the site oxygen generating station (1) through a network (3), and is characterized in that the site oxygen generating station (1) is the site oxygen generating station (1) distributed in different areas and different positions, and the remote technical service center (2) comprises the following components: the system comprises a service center router (21) connected with a site oxygen generating station (1) through a network (3), a data server (22) for receiving data of the site oxygen generating station (1) for analysis and storage, a WEB server (23) for extracting data in the data server (22) and issuing WEB pages, a switch (24) for data sharing and a remote client (25) for remote monitoring and fault diagnosis and feeding diagnosis results back to the site oxygen generating station (1), wherein the service center router (21) is connected with the site oxygen generating station (1) through the network (3) in sequence; the fault diagnosis method is characterized by comprising the following steps:
1) The query machine and the data server acquire temperature, pressure and flow parameters of the oxygen generating equipment acquired by each sensor in the oxygen generating equipment through a remote control terminal of the on-site oxygen generating station, the running state of the oxygen generating equipment and fault signals of detection points of the oxygen generating equipment;
2) Judging whether the air compressor, the cold dryer, the oxygen generator, the oxygen compressor and one or more than one of the sensors are in failure through failure signals, if so, performing failure alarm through a query machine of an on-site oxygen generation station, a data server of a remote technical service center, a WEB server and a remote client respectively, and entering into the step 3); otherwise, displaying the temperature, pressure and flow parameters of the oxygen generating equipment on the main interfaces of the inquiring machine of the on-site oxygen generating station, the data server of the remote technical service center, the WEB server and the remote client, and the running state of the oxygen generating equipment;
3) Displaying fault phenomena on fault diagnosis interfaces of a query machine of an on-site oxygen generation station, a data server of a remote technical service center, a WEB server and a remote client; then enter step 4);
4) Confirming a fault carrier and a fault reason; comprising the following steps:
judging whether the exhaust pressure of the air compressor is smaller than a set pressure value, if yes, judging whether the exhaust pressure of the air compressor is faulty, entering step 5), if not, continuously judging whether the value of the air compressor outlet temperature minus the air compressor outlet temperature is smaller than a set value, if yes, judging whether the air compressor outlet temperature is larger than the set value, if yes, judging whether the air compressor is faulty, entering step 5), if not, continuously judging whether the motor of the oxygen compressor is normal, if not, judging whether the motor of the oxygen compressor is faulty, entering step 5), if not, continuously judging whether the sensor signal is normal, if not, judging whether the oxygen concentration of the oxygen producing host is smaller than a normal value, if yes, judging whether the oxygen flow of the oxygen producing host is smaller than the normal value, entering step 5), if yes, judging whether the oxygen flow is faulty, entering step 5), if not, continuously judging whether the starting point signal of the oxygen producing host is 1, if yes, entering step 5), otherwise, ending;
5) Displaying fault carriers and fault reasons on main interfaces of a query machine of an on-site oxygen generation station, a data server of a remote technical service center, a WEB server and a remote client respectively;
6) Storing fault information into a database in a data server for data record storage;
7) And judging whether the frequency of the same fault in the set time is greater than the set frequency, if so, outputting a corresponding report through a query machine of the oxygen generating station, a data server of a remote technical service center, a WEB server and a fault diagnosis computer, otherwise, ending.
2. The method according to claim 1, wherein the operation state in step 1) includes an intake pressure value, an adsorption pressure value, a stored oxygen pressure value, an oxygen concentration value, and an oxygen production flow rate when the oxygen production plant is operated, and an oxygen production plant is stopped.
3. The fault diagnosis method based on the remote fault diagnosis system of the client-side oxygen generating equipment according to claim 1, wherein the report content of step 7) comprises: time of occurrence of fault, fault category, fault prompt information and parameters related to fault.
4. The fault diagnosis method based on the remote fault diagnosis system of the client-side oxygen generating equipment according to claim 1, wherein the step 4) of determining whether the sensor signal is normal comprises: whether is one or more of the disconnection of an air inlet pressure sensor, the disconnection of an oxygen storage pressure sensor, the disconnection of an adsorption pressure sensor, the disconnection of an oxygen concentration sensor, the disconnection of a cold dryer outlet temperature sensor, the disconnection of a cold dryer outlet pressure sensor, the disconnection of an air compressor exhaust pressure sensor and the disconnection of an air compressor exhaust temperature sensor.
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