CN106110889A - A kind of counter-infiltration system Breakdown forecast and diagnosis method, Apparatus and system - Google Patents
A kind of counter-infiltration system Breakdown forecast and diagnosis method, Apparatus and system Download PDFInfo
- Publication number
- CN106110889A CN106110889A CN201610653493.8A CN201610653493A CN106110889A CN 106110889 A CN106110889 A CN 106110889A CN 201610653493 A CN201610653493 A CN 201610653493A CN 106110889 A CN106110889 A CN 106110889A
- Authority
- CN
- China
- Prior art keywords
- index parameter
- early warning
- parameter value
- cloud server
- warning information
- 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.)
- Granted
Links
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B01—PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
- B01D—SEPARATION
- B01D61/00—Processes of separation using semi-permeable membranes, e.g. dialysis, osmosis or ultrafiltration; Apparatus, accessories or auxiliary operations specially adapted therefor
- B01D61/02—Reverse osmosis; Hyperfiltration ; Nanofiltration
- B01D61/08—Apparatus therefor
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B01—PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
- B01D—SEPARATION
- B01D61/00—Processes of separation using semi-permeable membranes, e.g. dialysis, osmosis or ultrafiltration; Apparatus, accessories or auxiliary operations specially adapted therefor
- B01D61/02—Reverse osmosis; Hyperfiltration ; Nanofiltration
- B01D61/025—Reverse osmosis; Hyperfiltration
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B01—PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
- B01D—SEPARATION
- B01D61/00—Processes of separation using semi-permeable membranes, e.g. dialysis, osmosis or ultrafiltration; Apparatus, accessories or auxiliary operations specially adapted therefor
- B01D61/02—Reverse osmosis; Hyperfiltration ; Nanofiltration
- B01D61/12—Controlling or regulating
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B01—PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
- B01D—SEPARATION
- B01D65/00—Accessories or auxiliary operations, in general, for separation processes or apparatus using semi-permeable membranes
- B01D65/10—Testing of membranes or membrane apparatus; Detecting or repairing leaks
-
- 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
-
- 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
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/048—Monitoring; Safety
Abstract
The present invention is applicable to water and processes informationization technology field, provide a kind of counter-infiltration system Breakdown forecast and diagnosis method, Apparatus and system, described method includes: receive the system measured data that sensor gathers in reverse osmosis membrane unit, and the system that is converted into is surveyed index parameter value and is uploaded to cloud server end;Obtain the systemic presupposition index parameter value in cloud server end;Described system actual measurement index parameter value is done difference with described systemic presupposition index parameter value, forms system index parameter difference;Obtain cloud server end storage threshold value and contrast with difference, when described system index parameter difference exceedes described threshold range, obtain early warning information and the diagnostic message being stored in described cloud server end, described early warning information and diagnostic message are sent to user interface;The real-time that the embodiment of the present invention solves existing counter-infiltration system data acquisition is the highest, and automaticity is low, it is impossible to the problem carrying out on-line monitoring and fault diagnosis by network.
Description
Technical field
The invention belongs to water and process informationization technology field, particularly relate to a kind of counter-infiltration system Breakdown forecast and diagnosis side
Method, Apparatus and system.
Background technology
Reverse osmosis technology is as a kind of new type water processing method, and level and technique are the most ripe and perfect, extensively should
Pro desalting system for all kinds of water processes in technique.Relative to traditional ion-exchange treatment, reverse osmosis decreases acid
The discharge capacity of alkali, beneficially saving water resource and improve environmental conservation.
In engineering actual motion, salt rejection rate, aquifer yield systematic parameter etc. are as evaluating reverse osmosis unit systematic function
Important indicator, accurate, real-time, the effectiveness of its measurement result, not only affect the test result of reverse osmosis module, and directly shadow
Ring the result of determination of reverse osmosis produced quality.Therefore can accurately, in real time, the effective importance obtaining its systematic parameter seem outstanding
It is prominent.
At present, existing counter-infiltration system obtains system after typically passing through on-site collection data and being standardized calculating
By operational factor, operational factor, judges whether the running status of system and system exist fault, the real-time of its data acquisition
The highest, automaticity is low, it is impossible to carry out on-line monitoring and fault diagnosis by network.
Summary of the invention
The embodiment of the present invention provides a kind of counter-infiltration system Breakdown forecast and diagnosis method, it is intended to solve existing reverse osmosis
System obtains the operational factor of system after typically passing through on-site collection data and being standardized calculating, judged by operational factor
Whether the running status of system and system exist fault, and the real-time of its data acquisition is the highest, and automaticity is low, it is impossible to pass through
The problem that network carries out on-line monitoring and fault diagnosis.
The embodiment of the present invention is achieved in that a kind of counter-infiltration system Breakdown forecast and diagnosis method, wherein, described side
Method comprises the steps:
Receive the system measured data that sensor gathers in reverse osmosis membrane unit, and be converted into system actual measurement index parameter
Value, is uploaded to cloud server end by described system actual measurement index parameter value;
Obtain the systemic presupposition index parameter value in cloud server end storage;
Described system actual measurement index parameter value is done difference with described systemic presupposition index parameter value, forms system index parameter
Difference;
Obtain cloud server end storage the threshold value corresponding with described system index parameter difference and refer to described system
Mark parameter difference contrasts, and when described system index parameter difference exceedes described threshold range, obtains and is stored in described cloud clothes
The early warning information of business device end and diagnostic message, send described early warning information and diagnostic message to user interface;
Described system measured data includes one or more the combination in pressure, temperature, flow, pH value, conductivity;
Described system index parameter value includes one or more combination of salt rejection rate, aquifer yield, the response rate.
Further, described systemic presupposition index parameter value is standardized data.
Further, the threshold value that described system index parameter difference is corresponding includes multilevel threshold, with described multilevel threshold pair
The described early warning information answered is multistage early warning information.
The embodiment of the present invention also provides for a kind of counter-infiltration system Breakdown forecast and diagnosis device, and wherein, described device includes:
Receiver module, for receiving the system measured data that sensor gathers in reverse osmosis membrane unit, and is converted into system
Actual measurement index parameter value, and it is uploaded to cloud server end;
Preset value acquisition module, for obtaining the systemic presupposition index parameter value in cloud server end storage;
Difference calculating module, for doing described system actual measurement index parameter value with described systemic presupposition index parameter value
Difference, forms system index parameter difference;
Early warning diagnostic module, for obtaining the threshold corresponding with described system index parameter difference in cloud server end storage
Value also contrasts with described system index parameter difference, when described system index parameter difference exceedes described threshold range, obtains
Take early warning information and the diagnostic message being stored in described cloud server end, described early warning information and diagnostic message are sent extremely
User interface.
Further, described device also includes:
Standardization module, for by described systemic presupposition index parameter value standardization.
Further, described device also includes:
Threshold value diversity module, for threshold value corresponding for described system index parameter difference is divided into multilevel threshold, will be with institute
The described early warning information stating multilevel threshold corresponding is divided into multistage early warning information.
The embodiment of the present invention also provides for a kind of counter-infiltration system Breakdown forecast and diagnosis system, and wherein, described system includes:
Reverse osmosis membrane unit, comprises multiple reverse osmosis membrane for system counter osmosis;
Sensor unit, including multiple sensors, for gathering the system actual measurement of each monitoring point in reverse osmosis membrane unit
Data, and send to master controller;
Cloud Server, the system actual measurement index parameter value receiving master controller transmission stores, and prestores system pre-
If index parameter value, threshold value and early warning information and diagnostic message;
Master controller, receives the described system measured data that described sensor unit sends, by described system measured data
Change into system actual measurement index parameter value after calculating, and described system actual measurement index parameter value is uploaded to cloud server end, obtain
Take systemic presupposition index parameter value, threshold value and early warning information and the diagnostic message calculate system of the storage of described Cloud Server
Index parameter difference, contrasts described system index parameter difference and described threshold value, sends early warning information and diagnostic message to user
Interface;
User interface, is used for showing early warning information and diagnostic message.
Further, described system also includes prior-warning device, for obtaining the early warning information of master controller transmission and sending
Early warning sound and optical signalling.
The counter-infiltration system Breakdown forecast and diagnosis method of the embodiment of the present invention, by obtaining the biography in reverse osmosis membrane unit
Sensor Monitoring Data, and obtain systemic presupposition parameter value by network in cloud server end and compare, when beyond threshold range,
I.e. to user interface output early warning signal and diagnostic message so that counter-infiltration system can obtain the operation ginseng of system the most online
Number, real-time is high, and is standardized parameter analyzing, and sends early warning and diagnostic message in time, and automaticity is high.
Accompanying drawing explanation
Fig. 1 is the counter-infiltration system Breakdown forecast and diagnosis method flow diagram that the embodiment of the present invention provides;
Fig. 2 is the counter-infiltration system Breakdown forecast and diagnosis structure drawing of device that the embodiment of the present invention provides;
Fig. 3 is the counter-infiltration system Breakdown forecast and diagnosis system construction drawing that the embodiment of the present invention provides.
Detailed description of the invention
In order to make the purpose of the present invention, technical scheme and advantage clearer, below in conjunction with drawings and Examples, right
The present invention is further elaborated.Should be appreciated that specific embodiment described herein only in order to explain the present invention, and
It is not used in the restriction present invention.
It should be noted that when element is referred to as " being fixed on " or " being arranged at " another element, and it can be directly separately
On one element or may be simultaneously present centering elements.When an element is known as " being connected to " another element, and it can
To be directly to another element or to may be simultaneously present centering elements.
Also, it should be noted the orientation term such as left and right, upper and lower in the embodiment of the present invention, it it is only relative concept each other
Or with the normal operating condition of product as reference, and should not be regarded as restrictive.
What Fig. 1 showed the counter-infiltration system Breakdown forecast and diagnosis method that the embodiment of the present invention provides realizes flow process,
In step S101, receive the system measured data that sensor gathers in reverse osmosis membrane unit, and be converted into system
Actual measurement index parameter value, is uploaded to cloud server end by described system actual measurement index parameter value;
In embodiments of the present invention, described system measured data includes in pressure, temperature, flow, pH value, conductivity
Kind or multiple combination, corresponding sensor is also different types of sensor such as pressure transducer, temperature sensor
It is identified etc. the physics of measurement or chemical parameters can be converted into the signal of telecommunication transmission master controller to system and calculates;
As one embodiment of the present of invention, described system index parameter value include salt rejection rate, aquifer yield, the one of the response rate
Kind or multiple combination, salt rejection rate in counter-infiltration system, aquifer yield, the response rate etc. are the important ginsengs weighing systematic function
Number, and these parameters can not directly be measured in sensor side, draws after need to carrying out system measured data converting calculating.
In step s 102, the systemic presupposition index parameter value in cloud server end storage is obtained;
Cloud server end prestores systemic presupposition index parameter value, such as default counter-infiltration system salt rejection rate, default
Aquifer yield and the response rate etc., the setting of pre-set level parameter value is the system actual measurement index parameter through storing cloud server end
The system standardization parameter value that value obtains after carrying out big data analysis calculating.
In step s 103, described system actual measurement index parameter value is done difference, shape with described systemic presupposition index parameter value
Become system index parameter difference;
The calculating of system index parameter difference is the operation transition for real-time monitoring system;
In step S104, obtain cloud server end storage the threshold value corresponding with described system index parameter difference also
Contrasting with described system index parameter difference, when described system index parameter difference exceedes described threshold range, acquisition is deposited
It is stored in early warning information and the diagnostic message of described cloud server end, described early warning information and diagnostic message are sent to user
Interface;
Cloud server end stores the threshold range that system index parameter difference is corresponding simultaneously, because system is at running
It is normal fluctuation that middle parameter value can fluctuate within the specific limits, but if fluctuation range is excessive, beyond corresponding threshold value model
Enclose, it is possible to determine that system malfunctions, and carry out early warning;
Preferably, in embodiments of the present invention, described threshold value can be to be the form of percentage ratio, such as the threshold range of salt rejection rate
Being 0~± 5%, actual salt rejection rate is more normal than during salt rejection rate low or high 0~5% preset, and then thinks be after superelevation 5%
System breaks down, and can send early warning information so that operator understand in time and fix a breakdown;
In embodiments of the present invention, described systemic presupposition index parameter value is standardized data;
The setting of pre-set level parameter value is that the system actual measurement index parameter value through storing cloud server end is carried out greatly
The system standardization parameter value that data analysis obtains after calculating, is the normalized number made of the practical operation situation of coupling system
According to, the stable operation to system plays a crucial role;
The embodiment of the present invention is by the online system measured data obtaining counter-infiltration system, and will realize data by network
It is uploaded to cloud server end, systemic presupposition index parameter value after standardization in Cloud Server is referred to system actual measurement
Mark parameter value compares calculating, thus judges that the operation conditions of system is the most stable, if there is fault, sends time faulty
Diagnostic message and early warning information so that whole counter-infiltration system can carry out diagnosing and early warning online, the service data of system can be real
Time obtain and be analyzed, accuracy is high, and the automaticity of whole system is high simultaneously, improves the work efficiency of system.
As a preferred embodiment of the present invention, threshold value corresponding to described system index parameter difference includes multistage threshold
Value, the described early warning information corresponding with described multilevel threshold is multistage early warning information, if the one-level threshold value of salt rejection rate is-5%, two
Level be-10%, three grades be-15%, correspondence early warning information be then :-5% correspondence one-level early warning ,-10% be two grades of early warning ,-
15% is three grades of early warning, the corresponding different fault of early warning information of different three ranks so that operator can be according to difference
The early warning information of rank makes different counter-measures.
Fig. 2 shows the counter-infiltration system Breakdown forecast and diagnosis device of the embodiment of the present invention, including:
Receiver module 21, for receiving the system measured data that sensor gathers in reverse osmosis membrane unit, and is converted into and is
System actual measurement index parameter value, is uploaded to cloud server end by described system actual measurement index parameter value;
Preset value acquisition module 22, for obtaining the systemic presupposition index parameter value in cloud server end storage;
Difference calculating module 23, for doing described system actual measurement index parameter value with described systemic presupposition index parameter value
Difference, forms system index parameter difference;
Early warning diagnostic module 24, for obtain cloud server end storage corresponding with described system index parameter difference
Threshold value also contrasts with described system index parameter difference, when described system index parameter difference exceedes described threshold range,
Obtain early warning information and the diagnostic message being stored in described host side, described early warning information and diagnostic message are sent to using
Interface, family.
At the counter-infiltration system Breakdown forecast and diagnosis device of the embodiment of the present invention, also include:
Standardization module, for by described systemic presupposition index parameter value standardization.
It is also preferred that the left in embodiments of the present invention, counter-infiltration system Breakdown forecast and diagnosis device, also include:
Threshold value diversity module, for threshold value corresponding for described system index parameter difference is divided into multilevel threshold, will be with institute
The described early warning information stating multilevel threshold corresponding is divided into multistage early warning information.
Fig. 3 shows the counter-infiltration system Breakdown forecast and diagnosis system that the embodiment of the present invention provides, including:
Reverse osmosis membrane unit 31, comprises multiple reverse osmosis membrane for system counter osmosis, multiple different reverse osmosiss
Film constitutes multistage infiltration effect;
Sensor unit 32, including multiple sensors, real for gathering the system of each monitoring point in reverse osmosis membrane unit
Survey data, and send to master controller;
The plurality of sensor includes pressure, temperature, flow, pH value, conductivity sensor etc., sensor and main controller
Connection can be cable network connect can also be wireless network connect;
Cloud Server 33, the system actual measurement index parameter value receiving master controller transmission stores, and prestores system
Pre-set level parameter value, threshold value and early warning information and diagnostic message;
In embodiments of the present invention, Cloud Server can be arranged at local network, it is also possible to is arranged in telecommunication network;
Master controller 34, receives the described system measured data that described sensor unit sends, and described system is surveyed number
According to changing into system actual measurement index parameter value after calculating, and described system actual measurement index parameter value is uploaded to cloud server end,
Obtain systemic presupposition index parameter value, threshold value and early warning information and the diagnostic message calculate system of the storage of described Cloud Server
System index parameter difference, contrasts described system index parameter difference and described threshold value, sends early warning information and diagnostic message to using
Interface, family, master controller is provided with the counter-infiltration system Breakdown forecast and diagnosis method of the embodiment of the present invention special-purpose software or
Person APP, master controller can be the equipment such as computer or smart mobile phone;
User interface 35, is used for showing early warning information and diagnostic message, in embodiments of the present invention, described user interface bag
Include the display terminal that display, smart mobile phone or IPAD etc. are connected with master controller.
As a preferred embodiment of the invention, this system also includes prior-warning device 36, is used for obtaining master controller and sends
Early warning information and send early warning sound and optical signalling so that operator can quickly obtain early warning and diagnostic message,
It is easy to timely handling failure, it is ensured that the stability of counter-infiltration system operation and reliability.
The counter-infiltration system Breakdown forecast and diagnosis method of embodiment of the present invention offer, Apparatus and system, exist by obtaining
The Sensor monitoring data of reverse osmosis membrane unit, and compared at cloud server end acquisition systemic presupposition parameter value by network
Relatively, when beyond threshold range, i.e. to user interface output early warning signal and diagnostic message so that counter-infiltration system can be the most online
The operational factor of acquisition system, real-time is high, and is standardized parameter analyzing, and sends early warning and diagnostic message in time, from
Dynamicization degree is high, improves the work efficiency of system.
The foregoing is only presently preferred embodiments of the present invention, not in order to limit the present invention, all essences in the present invention
Any amendment, equivalent and the improvement etc. made within god and principle, should be included within the scope of the present invention.
Claims (8)
1. a counter-infiltration system Breakdown forecast and diagnosis method, it is characterised in that described method comprises the steps:
Receive the system measured data that sensor gathers in reverse osmosis membrane unit, and be converted into system actual measurement index parameter value, will
Described system actual measurement index parameter value is uploaded to cloud server end;
Obtain the systemic presupposition index parameter value in cloud server end storage;
Described system actual measurement index parameter value is done difference with described systemic presupposition index parameter value, forms system index parameter difference
Value;
Obtain cloud server end storage the threshold value corresponding with described system index parameter difference and join with described system index
Number difference contrasts, and when described system index parameter difference exceedes described threshold range, obtains and is stored in described Cloud Server
The early warning information of end and diagnostic message, send described early warning information and diagnostic message to user interface;
Described system measured data includes one or more the combination in pressure, temperature, flow, pH value, conductivity;
Described system index parameter value includes one or more combination of salt rejection rate, aquifer yield, the response rate.
Counter-infiltration system Breakdown forecast and diagnosis method the most according to claim 1, it is characterised in that described systemic presupposition
Index parameter value is standardized data.
Counter-infiltration system Breakdown forecast and diagnosis method the most according to claim 1, it is characterised in that described system index
Threshold value corresponding to parameter difference includes multilevel threshold, and the described early warning information corresponding with described multilevel threshold is multistage early warning letter
Breath.
4. a counter-infiltration system Breakdown forecast and diagnosis device, it is characterised in that described device includes:
Receiver module, for receiving the system measured data that sensor gathers in reverse osmosis membrane unit, and is converted into system actual measurement
Index parameter value, and it is uploaded to cloud server end;
Preset value acquisition module, for obtaining the systemic presupposition index parameter value in cloud server end storage;
Difference calculating module, for doing difference, shape by described system actual measurement index parameter value with described systemic presupposition index parameter value
Become system index parameter difference;
Early warning diagnostic module, for obtain cloud server end storage the threshold value corresponding with described system index parameter difference also
Contrasting with described system index parameter difference, when described system index parameter difference exceedes described threshold range, acquisition is deposited
It is stored in early warning information and the diagnostic message of described cloud server end, described early warning information and diagnostic message are sent to user
Interface.
Counter-infiltration system Breakdown forecast and diagnosis device the most according to claim 4, it is characterised in that also include:
Standardization module, for by described systemic presupposition index parameter value standardization.
Counter-infiltration system Breakdown forecast and diagnosis device the most according to claim 4, it is characterised in that also include:
Threshold value diversity module, for threshold value corresponding for described system index parameter difference is divided into multilevel threshold, will be many with described
Level described early warning information corresponding to threshold value is divided into multistage early warning information.
7. a counter-infiltration system Breakdown forecast and diagnosis system, it is characterised in that described system includes:
Reverse osmosis membrane unit, comprises multiple reverse osmosis membrane for system counter osmosis;
Sensor unit, including multiple sensors, for gathering the system measured data of each monitoring point in reverse osmosis membrane unit,
And send to master controller;
Cloud Server, the system actual measurement index parameter value receiving master controller transmission stores, and prestores systemic presupposition and refers to
Mark parameter value, threshold value and early warning information and diagnostic message;
Master controller, receives the described system measured data that described sensor unit sends, and described system measured data is calculated
After change into system actual measurement index parameter value, and described system actual measurement index parameter value is uploaded to cloud server end, obtains institute
State systemic presupposition index parameter value, threshold value and early warning information and the diagnostic message calculate system index of Cloud Server storage
Parameter difference, contrasts described system index parameter difference and described threshold value, sends early warning information and diagnostic message to user interface;
User interface, is used for showing early warning information and diagnostic message.
Counter-infiltration system Breakdown forecast and diagnosis system the most according to claim 7, it is characterised in that also include that early warning fills
Put, for obtaining the early warning information of master controller transmission and sending early warning sound and optical signalling.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610653493.8A CN106110889B (en) | 2016-08-10 | 2016-08-10 | A kind of counter-infiltration system Breakdown forecast and diagnosis method, apparatus and system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610653493.8A CN106110889B (en) | 2016-08-10 | 2016-08-10 | A kind of counter-infiltration system Breakdown forecast and diagnosis method, apparatus and system |
Publications (2)
Publication Number | Publication Date |
---|---|
CN106110889A true CN106110889A (en) | 2016-11-16 |
CN106110889B CN106110889B (en) | 2019-05-24 |
Family
ID=57258750
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201610653493.8A Expired - Fee Related CN106110889B (en) | 2016-08-10 | 2016-08-10 | A kind of counter-infiltration system Breakdown forecast and diagnosis method, apparatus and system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN106110889B (en) |
Cited By (14)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106705368A (en) * | 2016-12-30 | 2017-05-24 | 美的集团股份有限公司 | Method and device for prejudging domestic appliance faults and domestic appliance |
CN108187502A (en) * | 2018-01-26 | 2018-06-22 | 李永国 | Pressure vessel for reverse osmosis automatic detection device and its detection method |
WO2019092232A1 (en) * | 2017-11-13 | 2019-05-16 | Fresenius Medical Care Deutschland Gmbh | Examination of a reverse osmosis installation for use with dialysis devices |
CN110354570A (en) * | 2019-07-22 | 2019-10-22 | 智恒科技股份有限公司 | A kind of method and system carrying out filter element life judgement by Water quality detector |
CN111185093A (en) * | 2019-12-27 | 2020-05-22 | 湖南军信环保股份有限公司 | Online detection method and sampling device for membrane element of nanofiltration or reverse osmosis membrane unit |
CN112114109A (en) * | 2020-09-23 | 2020-12-22 | 安徽元通水处理设备有限公司 | Reverse osmosis water quality standard exceeding detection protection system |
CN112135682A (en) * | 2018-05-21 | 2020-12-25 | 栗田工业株式会社 | Diagnostic device for reverse osmosis system |
CN112630401A (en) * | 2021-01-12 | 2021-04-09 | 湖南科尔顿水务有限公司 | Water quality analysis and early warning system |
CN113153262A (en) * | 2021-04-09 | 2021-07-23 | 国网河北省电力有限公司沧州供电分公司 | Offshore oilfield accessible capacity evaluation method based on cable thermal characteristics |
CN113620380A (en) * | 2020-05-07 | 2021-11-09 | 云米互联科技(广东)有限公司 | Water purifier control method, water purifier and computer readable storage medium |
CN114702104A (en) * | 2022-04-02 | 2022-07-05 | 倍杰特集团股份有限公司 | High-pressure reverse osmosis process method based on lithium ion concentration |
CN114751549A (en) * | 2022-04-12 | 2022-07-15 | 西安热工研究院有限公司 | Reverse osmosis dosing system abnormal operation early warning system |
CN115105964A (en) * | 2022-06-14 | 2022-09-27 | 厦门牧云数据技术有限公司 | Method for improving membrane performance based on fault diagnosis expert system |
CN117138589A (en) * | 2023-10-27 | 2023-12-01 | 克拉玛依曜诚石油科技有限公司 | Pollution monitoring system and method for reverse osmosis membrane |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20030236649A1 (en) * | 2002-06-25 | 2003-12-25 | Kodukula Prasad S. | Water treatment monitoring system |
CN103246222A (en) * | 2012-02-08 | 2013-08-14 | 陆景浩 | Intelligent reverse osmosis water purifier controller with self-diagnosis function |
CN204177761U (en) * | 2014-10-14 | 2015-02-25 | 大唐东北电力试验研究所有限公司 | A kind of reverse osmosis deaslination rate on-line measuring device |
CN206328247U (en) * | 2016-07-22 | 2017-07-14 | 云南电网有限责任公司曲靖供电局 | A kind of ultra-clean water treatment system of intelligence |
-
2016
- 2016-08-10 CN CN201610653493.8A patent/CN106110889B/en not_active Expired - Fee Related
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20030236649A1 (en) * | 2002-06-25 | 2003-12-25 | Kodukula Prasad S. | Water treatment monitoring system |
CN103246222A (en) * | 2012-02-08 | 2013-08-14 | 陆景浩 | Intelligent reverse osmosis water purifier controller with self-diagnosis function |
CN204177761U (en) * | 2014-10-14 | 2015-02-25 | 大唐东北电力试验研究所有限公司 | A kind of reverse osmosis deaslination rate on-line measuring device |
CN206328247U (en) * | 2016-07-22 | 2017-07-14 | 云南电网有限责任公司曲靖供电局 | A kind of ultra-clean water treatment system of intelligence |
Cited By (21)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106705368B (en) * | 2016-12-30 | 2019-07-30 | 美的集团股份有限公司 | Prejudge the method, apparatus and household electrical appliance of household electrical appliance failure |
CN106705368A (en) * | 2016-12-30 | 2017-05-24 | 美的集团股份有限公司 | Method and device for prejudging domestic appliance faults and domestic appliance |
WO2019092232A1 (en) * | 2017-11-13 | 2019-05-16 | Fresenius Medical Care Deutschland Gmbh | Examination of a reverse osmosis installation for use with dialysis devices |
US10913031B2 (en) | 2017-11-13 | 2021-02-09 | Fresenius Medical Care Deutschland Gmbh | Monitoring a reverse-osmosis device used with dialysis devices |
CN108187502A (en) * | 2018-01-26 | 2018-06-22 | 李永国 | Pressure vessel for reverse osmosis automatic detection device and its detection method |
CN112135682B (en) * | 2018-05-21 | 2023-06-09 | 栗田工业株式会社 | Diagnostic device for reverse osmosis system |
CN112135682A (en) * | 2018-05-21 | 2020-12-25 | 栗田工业株式会社 | Diagnostic device for reverse osmosis system |
CN110354570B (en) * | 2019-07-22 | 2021-05-25 | 福建智恒优水科技有限公司 | Method and system for judging service life of filter element through water quality detector |
CN110354570A (en) * | 2019-07-22 | 2019-10-22 | 智恒科技股份有限公司 | A kind of method and system carrying out filter element life judgement by Water quality detector |
CN111185093A (en) * | 2019-12-27 | 2020-05-22 | 湖南军信环保股份有限公司 | Online detection method and sampling device for membrane element of nanofiltration or reverse osmosis membrane unit |
CN111185093B (en) * | 2019-12-27 | 2022-06-21 | 湖南军信环保股份有限公司 | Online detection method and sampling device for membrane element of nanofiltration or reverse osmosis membrane unit |
CN113620380A (en) * | 2020-05-07 | 2021-11-09 | 云米互联科技(广东)有限公司 | Water purifier control method, water purifier and computer readable storage medium |
CN112114109A (en) * | 2020-09-23 | 2020-12-22 | 安徽元通水处理设备有限公司 | Reverse osmosis water quality standard exceeding detection protection system |
CN112630401A (en) * | 2021-01-12 | 2021-04-09 | 湖南科尔顿水务有限公司 | Water quality analysis and early warning system |
CN113153262A (en) * | 2021-04-09 | 2021-07-23 | 国网河北省电力有限公司沧州供电分公司 | Offshore oilfield accessible capacity evaluation method based on cable thermal characteristics |
CN114702104A (en) * | 2022-04-02 | 2022-07-05 | 倍杰特集团股份有限公司 | High-pressure reverse osmosis process method based on lithium ion concentration |
CN114751549A (en) * | 2022-04-12 | 2022-07-15 | 西安热工研究院有限公司 | Reverse osmosis dosing system abnormal operation early warning system |
CN115105964A (en) * | 2022-06-14 | 2022-09-27 | 厦门牧云数据技术有限公司 | Method for improving membrane performance based on fault diagnosis expert system |
CN115105964B (en) * | 2022-06-14 | 2024-04-02 | 厦门牧云数据技术有限公司 | Method for improving membrane performance based on fault diagnosis expert system |
CN117138589A (en) * | 2023-10-27 | 2023-12-01 | 克拉玛依曜诚石油科技有限公司 | Pollution monitoring system and method for reverse osmosis membrane |
CN117138589B (en) * | 2023-10-27 | 2024-02-13 | 克拉玛依曜诚石油科技有限公司 | Pollution monitoring system and method for reverse osmosis membrane |
Also Published As
Publication number | Publication date |
---|---|
CN106110889B (en) | 2019-05-24 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN106110889A (en) | A kind of counter-infiltration system Breakdown forecast and diagnosis method, Apparatus and system | |
US20140379302A1 (en) | Apparatus and method for controlling water quality sensor faults | |
CN106940678B (en) | System real-time health degree evaluation and analysis method and device | |
US20230366706A1 (en) | Methods and internet of things (iot) systems for diagnosing accuracy of smart gas ultrasonic meters | |
CN109003431A (en) | The agricultural land soil quality intelligent of high-precision low cost monitors system | |
CN113053063A (en) | Mobile terminal-based disaster online disposal flow implementation method | |
CN113569445A (en) | Steel structure health monitoring system and method based on digital twinning technology | |
CN116543540B (en) | Online intelligent monitoring and sensing system and sensing method for pool liquid level based on Internet of Things | |
CN102904755A (en) | Method and device for measuring quality of user experience of mobile-internet services | |
CN109974780A (en) | A kind of electrical equipment status monitoring system based on Internet of Things | |
CN113155196A (en) | Bridge operation real-time monitoring system based on AIoT and monitoring method thereof | |
CN104793270B (en) | A kind of synthetic determination method of equipment running status in Integrated Meteorological Observation net | |
CN114244751B (en) | Wireless sensor network anomaly detection method and system | |
DE102019219250A1 (en) | Method for diagnosing an operating behavior of a field device | |
CN109990946B (en) | Pressure transmitter with fault self-checking function and fault self-checking method thereof | |
CN109263091A (en) | The condition monitoring system and method for large glass fibre blade production mould | |
CN106195247B (en) | A kind of control system of speed variator based on big data management mode | |
US10648469B2 (en) | Remote pump managing device | |
CN112325967A (en) | Intelligent Internet of things water meter working state early warning method and system | |
CN110703032A (en) | Power grid fault positioning method | |
CN110031917A (en) | A kind of rain condition monitoring method | |
CN103324153A (en) | Device and method for automatic safety monitoring of boilers | |
JP2007293553A (en) | System and method for diagnosing field equipment | |
CN206369735U (en) | A kind of online water quality monitoring instrument, O&M terminal and cloud system | |
CN113746905A (en) | Distributed intelligent sensing system and control method thereof |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant | ||
CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20190524 Termination date: 20210810 |
|
CF01 | Termination of patent right due to non-payment of annual fee |