CN106400879A - Comprehensive utilization and maintenance system with functions of seawater salt extraction, drinking water production and power generation energy recovery - Google Patents
Comprehensive utilization and maintenance system with functions of seawater salt extraction, drinking water production and power generation energy recovery Download PDFInfo
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- CN106400879A CN106400879A CN201610764333.0A CN201610764333A CN106400879A CN 106400879 A CN106400879 A CN 106400879A CN 201610764333 A CN201610764333 A CN 201610764333A CN 106400879 A CN106400879 A CN 106400879A
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- E—FIXED CONSTRUCTIONS
- E03—WATER SUPPLY; SEWERAGE
- E03B—INSTALLATIONS OR METHODS FOR OBTAINING, COLLECTING, OR DISTRIBUTING WATER
- E03B1/00—Methods or layout of installations for water supply
- E03B1/02—Methods or layout of installations for water supply for public or like main supply for industrial use
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- C—CHEMISTRY; METALLURGY
- C01—INORGANIC CHEMISTRY
- C01D—COMPOUNDS OF ALKALI METALS, i.e. LITHIUM, SODIUM, POTASSIUM, RUBIDIUM, CAESIUM, OR FRANCIUM
- C01D3/00—Halides of sodium, potassium or alkali metals in general
- C01D3/04—Chlorides
- C01D3/06—Preparation by working up brines; seawater or spent lyes
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- E—FIXED CONSTRUCTIONS
- E03—WATER SUPPLY; SEWERAGE
- E03B—INSTALLATIONS OR METHODS FOR OBTAINING, COLLECTING, OR DISTRIBUTING WATER
- E03B3/00—Methods or installations for obtaining or collecting drinking water or tap water
- E03B3/04—Methods or installations for obtaining or collecting drinking water or tap water from surface water
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Abstract
Disclosed is a comprehensive utilization and maintenance system with functions of seawater salt extraction, drinking water production and power generation energy recovery. The comprehensive utilization and maintenance system comprises an energy recovery comprehensive utilization system and a maintenance policy obtaining system, wherein the maintenance policy obtaining system comprises a data acquisition module, a data preprocessing module, a risk determination module and a maintenance policy generation module; and the energy recovery comprehensive utilization system comprises a seawater drawing sub system, a seawater salt-producing sub system, an air compression sub system, a drinking-water-producing sub system and seawater power generation sub system. The comprehensive utilization and maintenance system has the beneficial effects of capability of providing good-quality drinking water, generating electricity, and producing salt, and high efficiency, and low cost.
Description
Technical field
Multipurpose use of sea water field of the present invention is and in particular to a kind of sea water salt extraction, drinking water and generated energy reclaim comprehensively
Using system maintenance system.
Background technology
Pollution with conventional water resource and exhaustion, the sea water that exploitation reserves are enriched becomes inexorable trend, desalinizes seawater
Also be entirely capable of becoming safety and Health trusts water.The method of desalinization at present：Mainly there are freezing method, hyperfiltration, solar energy
Method, low-temperature multiple-effect distillation, multistage flash vaporization, electroosmose process and pressure steam distillation etc.：Wherein, seawater freezing is exactly made by freezing method
Icing, while liquid fresh water becomes solid ice, salt is separated.Hyperfiltration, also known as ultra-filtration method, is nineteen fifty-three
A kind of membrance separation desalination process beginning with.Solar energy method mainly uses solar energy and is distilled.The light method of low temperature multiple-effect distillation
Refer to that the highest evaporating temperature of saline is less than 70 DEG C of desalination technology, it is characterized in that a series of horizontal tube spray falling-film evaporation
Device is together in series, with a certain amount of steam input pass through multiple evaporation and condensation, after one imitate evaporating temperature be below before
Face one is imitated, thus obtaining being multiple times than the desalination process of the distilled water of quantity of steam.Multistage flash vaporization refers to that the sea water of uniform temperature exists
Under conditions of pressure reduces suddenly, part sea water flash.Electroosmose process is the development of novel ion exchange membrane.Pressure steam distillation
After method refers to be seawater preheating, enter vaporizer and in the evaporation of vaporizer interior part.But said method is not all by the energy of sea water
Use, or efficiency is low, or high cost.
In energy regenerating utilization system maintenance technique, typically by being monitored to assembly, it is determined whether need to tie up
Repair, do not have the sequencing of assignment component maintenance and the time range of modular repair in the maintenance policy of formulation, be easily caused
Delay because of modular repair leads to transformer fault.
Content of the invention
For solving the above problems, the present invention is intended to provide a kind of sea water salt extraction, drinking water and generated energy reclaim comprehensive profit
Use system maintenance system.
The purpose of the present invention employs the following technical solutions to realize：
A kind of sea water salt extraction, drinking water and generated energy reclaim utilization system maintenance system, comprehensive including energy regenerating
Close and obtain system using system and maintenance policy, described maintenance policy obtains system and includes data acquisition module, data prediction
Module, risk determining module, maintenance policy generation module, described energy regenerating utilization system, draws subsystem including sea water
System, preparing salt by working up seawater subsystem, air compression subsystem, drinking water produce subsystem and the sub- subsystem of power generation with sea water, described sea water
Draw subsystem for sea water is supplied to preparing salt by working up seawater subsystem, heating of seawater is obtained salt and high pressure by preparing salt by working up seawater subsystem
Steam.Air is compressed using high steam and is stored by air compression subsystem.Drinking water is produced subsystem and is used for
High steam is condensed into water and makes drinking water.Power generation with sea water subsystem is generated electricity using stored pressure-air.
Beneficial effects of the present invention are：The drinking water of high-quality can be provided, can carry out generate electricity and can salt manufacturing, its efficiency
Height and low cost.
Brief description
Using accompanying drawing, the invention will be further described, but the embodiment in accompanying drawing does not constitute any limit to the present invention
System, for those of ordinary skill in the art, on the premise of not paying creative work, can also obtain according to the following drawings
Other accompanying drawings.
Fig. 1 the structural representation of present invention；
Fig. 2 is the structural representation that maintenance policy obtains system.
Reference：
Maintenance policy obtains system 1, data acquisition module 11, data preprocessing module 12, risk determining module 13, maintenance
Policy generation module 14.
Specific embodiment
In conjunction with following application scenarios, the invention will be further described.
Application scenarios 1
Referring to Fig. 1, Fig. 2, a kind of sea water salt extraction of an embodiment of this application scene, drinking water and generated energy reclaim
Utilization system maintenance system, obtains system, described maintenance policy including energy regenerating utilization system and maintenance policy
Acquisition system includes data acquisition module, data preprocessing module, risk determining module, maintenance policy generation module, described energy
Amount reclaims utilization system, draws subsystem, preparing salt by working up seawater subsystem, air compression subsystem, drinking water system including sea water
Take subsystem and the sub- subsystem of power generation with sea water, described sea water draws subsystem for sea water is supplied to preparing salt by working up seawater subsystem,
Heating of seawater is obtained salt and high steam by preparing salt by working up seawater subsystem.Air is carried out by air compression subsystem using high steam
Compress and stored.Drinking water is produced subsystem and for high steam is condensed into water and is made drinking water.Power generation with sea water
System is generated electricity using stored pressure-air.
Preferably, described sea water draws subsystem and includes：Air bag pump, the first reversal valve, the second reversal valve and first
High pressure tank.
This preferred embodiment being capable of improve production efficiency.
Preferably, preparing salt by working up seawater subsystem includes high frequency gasifier and salt pond, and heating of seawater is given birth to by its medium-high frequency gasifier
Become high steam and strong brine, salt pond is used for depositing strong brine and the water evaporation in strong brine being formed finished product salt.
This preferred embodiment being capable of efficiently salt manufacturing.
Preferably, described maintenance policy acquisition system 1 includes data acquisition module 11, data preprocessing module 12, risk
Determining module 13, maintenance policy generation module 14；Described data acquisition module 11 is used for gathering Monitoring Data according to monitoring policy；
Described data preprocessing module 12 is used for being normalized pretreatment to Monitoring Data；Described risk determining module 13 is used for determining
The degree of risk of assembly；Described maintenance policy generation module 14 is used for the degree of risk according to assembly, in conjunction with maintainability and warp
Ji sexual factor generates maintenance policy.
This preferred embodiment constructs the module architectures that maintenance policy obtains system 1.
Preferably, described monitoring policy includes：
(1) determine the monitoring item in each assembly, and monitoring item is divided into general monitoring item and crucial monitoring item；
(2) for general monitoring item, using wireless sensor network, the health status of monitoring item are monitored and record
Health status monitoring amount；
For crucial monitoring item, to monitoring item by the way of radio sensor network monitoring and personal monitoring combine
Health status are monitored, if the wireless senser health status monitoring amount of certain key monitoring item is m1, artificial health status prison
It is measured as m2, due to may be affected by temperature during Sensor monitoring, introduce temperature correction factor ξ, for not being subject to temperature shadow
The sensor ringing, makes ξ=1, for the sensor of temperature influence,Wherein T is monitored for sensor
When ambient temperature, T0For the standard temperature being suitable for during Sensor monitoring, then its final health status monitoring amount m is true using following formula
Fixed：
In formula, c is the constant according to monitoring item reasonable error range set；
This preferred embodiment is divided into general monitoring item and crucial monitoring item by monitoring item, and carries out in different ways
Monitoring, had both saved monitoring cost, had obtained monitoring result with a high credibility again.
Preferably, health status monitoring amount normalization is expressed as by described data preprocessing module 12：
When being in when health status monitoring amount reaches maximum the best situation of corresponding monitoring item health status：
When being in when health status monitoring amount reaches minimum the best situation of corresponding monitoring item health status,
In formula, m represents the original health monitoring variable of a certain monitoring item, and n represents the health after this monitoring item normalization
Status monitoring amount, L is the health status monitoring amount lower limit of this monitoring item, and H is the health status monitoring amount upper limit of this monitoring item
Value.
Because the monitoring meanss that different monitoring projects is taken are different, the order of magnitude of the monitoring result obtaining is different, single
Position is also different, and this preferred embodiment is normalized to health status monitoring amount, conveniently carries out comprehensive assessment to assembly.
Preferably, the described degree of risk determining assembly, including：
(1) by the health status monitoring amount weighted average after various Monitoring Data normalization of originating, obtain assembly and be good for
Health status monitoring index：
In formula, s represents assembly health status monitoring index, niFor i-th monitoring item health status monitoring amount, i=1,
2 ..., k, wiAccording to each health status monitoring amount niThe weight factor of significance level setting in assembly；
Set secure threshold Ts, Ts∈ [0.4,0.5], if health status monitoring index s are less than secure threshold Ts, then judge
Health status monitoring index s are in exception；
(2) utilize history state of health data and historical failure rate data, set up the failure rate model repaired of equipment：
In formula, r can repair fault rate for equipment, and s ' is equipment condition monitoring index, and a, b, d are three undetermined constants,
It is the corrected parameter being produced according to practical application condition difference；
Wherein, determine the value of parameter a, b, d by historical state data and historical failure rate data, specially：
If equipment inner assembly number is l, certain assembly zjIn certain time period TjThe number of times inside breaking down is fj, it is corresponding
Health status monitoring index is sj, by the health status monitoring index s of multiple assembliesjWith the number of times f breaking downjCollect,
The then overall health status monitoring index of equipment and fault rate computing formula can be repaired be represented by：
By the above-mentioned health status monitoring index and failure rate model repaired that fault rate iteration enters equipment can be repaired, thus
Determine the value of parameter a, b, d；
(3) failure rate model repaired according to equipment, tries to achieve degree of risk X of each assemblyj：
In formula, j=1 ..., l,Represent and be in abnormal assembly zjHealth status monitoring index, r1..., sj..., sl)
Represent that each assembly monitoring index is s1..., sj..., slWhen power system can repair fault rate.
This preferred embodiment sets up the failure rate model repaired of assembly health status monitoring index and power system, from
And determine the degree of risk of each assembly, be capable of more science weighs the impact journey that component failure produces to equipment dependability
Degree, thus being conducive to entering row major maintenance for the big faulty components of influence degree, saves maintenance cost, maintenance policy is more than
It is decided by the state of assembly itself, and is also dependent upon the impact to equipment dependability for the component failures, make maintenance policy more objective
See and reliable.
Preferably, described combination maintainability and economic factors generate maintenance policy, including：
(1) it is stored in data base by the predetermined maintenance policy desired parameters of expert group and by this parameter, described maintenance plan
Slightly desired parameters include：Maintenance difficulty M when each monitoring item abnormal for each assemblyJiWith maintenance economic value EJi, the wind of assembly
Dangerous degree Xj, described maintenance difficulty MJiWith maintenance economic value EJiShared weight w (Xj)、w(MJi)、w(EJi), wherein said dimension
Repair economic value EJThe ratio being worth with assembly for maintenance cost；
(2) setting determines assembly to be repaired as d according to abnormal health status monitoring indexj, j=1 ..., ld, ldFor waiting to tie up
Repair the number of assembly, according to assembly d to be repairedjEach exception monitoring item i (i=1,2 ..., k) transfer corresponding maintenance difficulty MJi
With maintenance economic value EJi, calculate comprehensive maintenance difficulty M of assembly to be repairedJi' and comprehensive maintenance economic value EJi’：
(3) calculate the maintenance tendency degree of each assembly to be repaired
Maintenance tendency degree to each assembly to be repairedSorted from big to small, so that it is determined that each assembly to be repaired
Maintenance sequencing, i.e. preferential maintenance larger maintenance tendency degreeCorresponding assembly to be repaired；In addition, according to assembly to be repaired
Corresponding comprehensive maintenance difficulty MJi' determine corresponding maintenance program, thus generating the maintenance policy of optimum.
This preferred embodiment has formulated the generating mode of optimum maintenance policy, and method is objective simple, the generation of maintenance policy
Consider the maintainability in addition to degree of risk and economic factors, increased objectivity and the reliability of maintenance policy formulation,
And in the face of in a large number wait the assembly to be repaired passed judgment on when, greatly reduce workload, improve work efficiency, and preferably protect
Hold the concordance of judge.
In this application scenarios, set secure threshold Ts=0.4, the exception of health status monitoring index passes judgment on precision relatively
Improve 10%, the reliability of equipment improves 12% relatively.
Application scenarios 2
Referring to Fig. 1, Fig. 2, a kind of sea water salt extraction of an embodiment of this application scene, drinking water and generated energy reclaim
Utilization system maintenance system, obtains system, described maintenance policy including energy regenerating utilization system and maintenance policy
Acquisition system includes data acquisition module, data preprocessing module, risk determining module, maintenance policy generation module, described energy
Amount reclaims utilization system, draws subsystem, preparing salt by working up seawater subsystem, air compression subsystem, drinking water system including sea water
Take subsystem and the sub- subsystem of power generation with sea water, described sea water draws subsystem for sea water is supplied to preparing salt by working up seawater subsystem,
Heating of seawater is obtained salt and high steam by preparing salt by working up seawater subsystem.Air is carried out by air compression subsystem using high steam
Compress and stored.Drinking water is produced subsystem and for high steam is condensed into water and is made drinking water.Power generation with sea water
System is generated electricity using stored pressure-air.
Preferably, described sea water draws subsystem and includes：Air bag pump, the first reversal valve, the second reversal valve and first
High pressure tank.
This preferred embodiment being capable of improve production efficiency.
Preferably, preparing salt by working up seawater subsystem includes high frequency gasifier and salt pond, and heating of seawater is given birth to by its medium-high frequency gasifier
Become high steam and strong brine, salt pond is used for depositing strong brine and the water evaporation in strong brine being formed finished product salt.
This preferred embodiment being capable of efficiently salt manufacturing.
Preferably, described maintenance policy acquisition system 1 includes data acquisition module 11, data preprocessing module 12, risk
Determining module 13, maintenance policy generation module 14；Described data acquisition module 11 is used for gathering Monitoring Data according to monitoring policy；
Described data preprocessing module 12 is used for being normalized pretreatment to Monitoring Data；Described risk determining module 13 is used for determining
The degree of risk of assembly；Described maintenance policy generation module 14 is used for the degree of risk according to assembly, in conjunction with maintainability and warp
Ji sexual factor generates maintenance policy.
This preferred embodiment constructs the module architectures that maintenance policy obtains system 1.
Preferably, described monitoring policy includes：
(1) determine the monitoring item in each assembly, and monitoring item is divided into general monitoring item and crucial monitoring item；
(2) for general monitoring item, using wireless sensor network, the health status of monitoring item are monitored and record
Health status monitoring amount；
For crucial monitoring item, to monitoring item by the way of radio sensor network monitoring and personal monitoring combine
Health status are monitored, if the wireless senser health status monitoring amount of certain key monitoring item is m1, artificial health status prison
It is measured as m2, due to may be affected by temperature during Sensor monitoring, introduce temperature correction factor ξ, for not being subject to temperature shadow
The sensor ringing, makes ξ=1, for the sensor of temperature influence,Wherein T is monitored for sensor
When ambient temperature, T0For the standard temperature being suitable for during Sensor monitoring, then its final health status monitoring amount m is true using following formula
Fixed：
In formula, c is the constant according to monitoring item reasonable error range set；
This preferred embodiment is divided into general monitoring item and crucial monitoring item by monitoring item, and carries out in different ways
Monitoring, had both saved monitoring cost, had obtained monitoring result with a high credibility again.
Preferably, health status monitoring amount normalization is expressed as by described data preprocessing module 12：
When being in when health status monitoring amount reaches maximum the best situation of corresponding monitoring item health status：
When being in when health status monitoring amount reaches minimum the best situation of corresponding monitoring item health status,
In formula, m represents the original health monitoring variable of a certain monitoring item, and n represents the health after this monitoring item normalization
Status monitoring amount, L is the health status monitoring amount lower limit of this monitoring item, and H is the health status monitoring amount upper limit of this monitoring item
Value.
Because the monitoring meanss that different monitoring projects is taken are different, the order of magnitude of the monitoring result obtaining is different, single
Position is also different, and this preferred embodiment is normalized to health status monitoring amount, conveniently carries out comprehensive assessment to assembly.
Preferably, the described degree of risk determining assembly, including：
(1) by the health status monitoring amount weighted average after various Monitoring Data normalization of originating, obtain assembly and be good for
Health status monitoring index：
In formula, s represents assembly health status monitoring index, niFor i-th monitoring item health status monitoring amount, i=1,
2 ..., k, wiAccording to each health status monitoring amount niThe weight factor of significance level setting in assembly；
Set secure threshold Ts, Ts∈ [0.4,0.5], if health status monitoring index s are less than secure threshold Ts, then judge
Health status monitoring index s are in exception；
(2) utilize history state of health data and historical failure rate data, set up the failure rate model repaired of equipment：
In formula, r can repair fault rate for equipment, and s ' is equipment condition monitoring index, and a, b, d are three undetermined constants,
It is the corrected parameter being produced according to practical application condition difference；
Wherein, determine the value of parameter a, b, d by historical state data and historical failure rate data, specially：
If equipment inner assembly number is l, certain assembly zjIn certain time period TjThe number of times inside breaking down is fj, it is corresponding
Health status monitoring index is sj, by the health status monitoring index s of multiple assembliesjWith the number of times f breaking downjCollect,
The then overall health status monitoring index of equipment and fault rate computing formula can be repaired be represented by：
By the above-mentioned health status monitoring index and failure rate model repaired that fault rate iteration enters equipment can be repaired, thus
Determine the value of parameter a, b, d；
(3) failure rate model repaired according to equipment, tries to achieve degree of risk X of each assemblyj：
In formula, j=1 ..., l,Represent and be in abnormal assembly zjHealth status monitoring index, r (s1..., sj...,
sl) each assembly monitoring index of expression be s1..., sj..., slWhen power system can repair fault rate.
This preferred embodiment sets up the failure rate model repaired of assembly health status monitoring index and power system, from
And determine the degree of risk of each assembly, be capable of more science weighs the impact journey that component failure produces to equipment dependability
Degree, thus being conducive to entering row major maintenance for the big faulty components of influence degree, saves maintenance cost, maintenance policy is more than
It is decided by the state of assembly itself, and is also dependent upon the impact to equipment dependability for the component failures, make maintenance policy more objective
See and reliable.
Preferably, described combination maintainability and economic factors generate maintenance policy, including：
(1) it is stored in data base by the predetermined maintenance policy desired parameters of expert group and by this parameter, described maintenance plan
Slightly desired parameters include：Maintenance difficulty M when each monitoring item abnormal for each assemblyJiWith maintenance economic value EJi, the wind of assembly
Dangerous degree Xj, described maintenance difficulty MJiWith maintenance economic value EJiShared weight w (Xj)、w(MJi)、w(EJi), wherein said dimension
Repair economic value EJThe ratio being worth with assembly for maintenance cost；
(2) setting determines assembly to be repaired as d according to abnormal health status monitoring indexj, j=1 ..., ld, ldFor waiting to tie up
Repair the number of assembly, according to assembly d to be repairedjEach exception monitoring item i (i=1,2 ..., k) transfer corresponding maintenance difficulty MJi
With maintenance economic value EJi, calculate comprehensive maintenance difficulty M of assembly to be repairedJi' and comprehensive maintenance economic value EJi’：
(3) calculate the maintenance tendency degree of each assembly to be repaired
Maintenance tendency degree to each assembly to be repairedSorted from big to small, so that it is determined that each assembly to be repaired
Maintenance sequencing, i.e. preferential maintenance larger maintenance tendency degreeCorresponding assembly to be repaired；In addition, according to assembly to be repaired
Corresponding comprehensive maintenance difficulty MJi' determine corresponding maintenance program, thus generating the maintenance policy of optimum.
This preferred embodiment has formulated the generating mode of optimum maintenance policy, and method is objective simple, the generation of maintenance policy
Consider the maintainability in addition to degree of risk and economic factors, increased objectivity and the reliability of maintenance policy formulation,
And in the face of in a large number wait the assembly to be repaired passed judgment on when, greatly reduce workload, improve work efficiency, and preferably protect
Hold the concordance of judge.
In this application scenarios, set secure threshold Ts=0.42, the exception of health status monitoring index passes judgment on precision phase
To improve 9.5%, the reliability of equipment improves 11% relatively.
Application scenarios 3
Referring to Fig. 1, Fig. 2, a kind of sea water salt extraction of an embodiment of this application scene, drinking water and generated energy reclaim
Utilization system maintenance system, obtains system, described maintenance policy including energy regenerating utilization system and maintenance policy
Acquisition system includes data acquisition module, data preprocessing module, risk determining module, maintenance policy generation module, described energy
Amount reclaims utilization system, draws subsystem, preparing salt by working up seawater subsystem, air compression subsystem, drinking water system including sea water
Take subsystem and the sub- subsystem of power generation with sea water, described sea water draws subsystem for sea water is supplied to preparing salt by working up seawater subsystem,
Heating of seawater is obtained salt and high steam by preparing salt by working up seawater subsystem.Air is carried out by air compression subsystem using high steam
Compress and stored.Drinking water is produced subsystem and for high steam is condensed into water and is made drinking water.Power generation with sea water
System is generated electricity using stored pressure-air.
Preferably, described sea water draws subsystem and includes：Air bag pump, the first reversal valve, the second reversal valve and first
High pressure tank.
This preferred embodiment being capable of improve production efficiency.
Preferably, preparing salt by working up seawater subsystem includes high frequency gasifier and salt pond, and heating of seawater is given birth to by its medium-high frequency gasifier
Become high steam and strong brine, salt pond is used for depositing strong brine and the water evaporation in strong brine being formed finished product salt.
This preferred embodiment being capable of efficiently salt manufacturing.
Preferably, described maintenance policy acquisition system 1 includes data acquisition module 11, data preprocessing module 12, risk
Determining module 13, maintenance policy generation module 14；Described data acquisition module 11 is used for gathering Monitoring Data according to monitoring policy；
Described data preprocessing module 12 is used for being normalized pretreatment to Monitoring Data；Described risk determining module 13 is used for determining
The degree of risk of assembly；Described maintenance policy generation module 14 is used for the degree of risk according to assembly, in conjunction with maintainability and warp
Ji sexual factor generates maintenance policy.
This preferred embodiment constructs the module architectures that maintenance policy obtains system 1.
Preferably, described monitoring policy includes：
(1) determine the monitoring item in each assembly, and monitoring item is divided into general monitoring item and crucial monitoring item；
(2) for general monitoring item, using wireless sensor network, the health status of monitoring item are monitored and record
Health status monitoring amount；
For crucial monitoring item, to monitoring item by the way of radio sensor network monitoring and personal monitoring combine
Health status are monitored, if the wireless senser health status monitoring amount of certain key monitoring item is m1, artificial health status prison
It is measured as m2, due to may be affected by temperature during Sensor monitoring, introduce temperature correction factor ξ, for not being subject to temperature shadow
The sensor ringing, makes ξ=1, for the sensor of temperature influence,Wherein T is monitored for sensor
When ambient temperature, T0For the standard temperature being suitable for during Sensor monitoring, then its final health status monitoring amount m is true using following formula
Fixed：
In formula, c is the constant according to monitoring item reasonable error range set；
This preferred embodiment is divided into general monitoring item and crucial monitoring item by monitoring item, and carries out in different ways
Monitoring, had both saved monitoring cost, had obtained monitoring result with a high credibility again.
Preferably, health status monitoring amount normalization is expressed as by described data preprocessing module 12：
When being in when health status monitoring amount reaches maximum the best situation of corresponding monitoring item health status：
When being in when health status monitoring amount reaches minimum the best situation of corresponding monitoring item health status,
In formula, m represents the original health monitoring variable of a certain monitoring item, and n represents the health after this monitoring item normalization
Status monitoring amount, L is the health status monitoring amount lower limit of this monitoring item, and H is the health status monitoring amount upper limit of this monitoring item
Value.
Because the monitoring meanss that different monitoring projects is taken are different, the order of magnitude of the monitoring result obtaining is different, single
Position is also different, and this preferred embodiment is normalized to health status monitoring amount, conveniently carries out comprehensive assessment to assembly.
Preferably, the described degree of risk determining assembly, including：
(1) by the health status monitoring amount weighted average after various Monitoring Data normalization of originating, obtain assembly and be good for
Health status monitoring index：
In formula, s represents assembly health status monitoring index, niFor i-th monitoring item health status monitoring amount, i=1,
2 ..., k, wiAccording to each health status monitoring amount niThe weight factor of significance level setting in assembly；
Set secure threshold Ts, Ts∈ [0.4,0.5], if health status monitoring index s are less than secure threshold Ts, then judge
Health status monitoring index s are in exception；
(2) utilize history state of health data and historical failure rate data, set up the failure rate model repaired of equipment：
In formula, r can repair fault rate for equipment, and s ' is equipment condition monitoring index, and a, b, d are three undetermined constants,For
The corrected parameter being produced according to practical application condition difference；
Wherein, determine the value of parameter a, b, d by historical state data and historical failure rate data, specially：
If equipment inner assembly number is l, certain assembly zjIn certain time period TjThe number of times inside breaking down is fj, it is corresponding
Health status monitoring index is sj, by the health status monitoring index s of multiple assembliesjWith the number of times f breaking downjCollect,
The then overall health status monitoring index of equipment and fault rate computing formula can be repaired be represented by：
By the above-mentioned health status monitoring index and failure rate model repaired that fault rate iteration enters equipment can be repaired, thus
Determine the value of parameter a, b, d；
(3) failure rate model repaired according to equipment, tries to achieve degree of risk X of each assemblyj：
In formula, j=1 ..., l,Represent and be in abnormal assembly zjHealth status monitoring index, r (s1..., sj...,
sl) each assembly monitoring index of expression be s1..., sj..., slWhen power system can repair fault rate.
This preferred embodiment sets up the failure rate model repaired of assembly health status monitoring index and power system, from
And determine the degree of risk of each assembly, be capable of more science weighs the impact journey that component failure produces to equipment dependability
Degree, thus being conducive to entering row major maintenance for the big faulty components of influence degree, saves maintenance cost, maintenance policy is more than
It is decided by the state of assembly itself, and is also dependent upon the impact to equipment dependability for the component failures, make maintenance policy more objective
See and reliable.
Preferably, described combination maintainability and economic factors generate maintenance policy, including：
(1) it is stored in data base by the predetermined maintenance policy desired parameters of expert group and by this parameter, described maintenance plan
Slightly desired parameters include：Maintenance difficulty M when each monitoring item abnormal for each assemblyJiWith maintenance economic value EJi, the wind of assembly
Dangerous degree Xj, described maintenance difficulty MJiWith maintenance economic value EJiShared weight w (Xj)、w(MJi)、w(EJi), wherein said dimension
Repair economic value EJThe ratio being worth with assembly for maintenance cost；
(2) setting determines assembly to be repaired as d according to abnormal health status monitoring indexj, j=1 ..., ld, ldFor waiting to tie up
Repair the number of assembly, according to assembly d to be repairedjEach exception monitoring item i (i=1,2 ..., k) transfer corresponding maintenance difficulty MJi
With maintenance economic value EJi, calculate comprehensive maintenance difficulty M of assembly to be repairedJi' and comprehensive maintenance economic value EJi’：
(3) calculate the maintenance tendency degree of each assembly to be repaired
Maintenance tendency degree to each assembly to be repairedSorted from big to small, so that it is determined that each assembly to be repaired
Maintenance sequencing, i.e. preferential maintenance larger maintenance tendency degreeCorresponding assembly to be repaired；In addition, according to assembly to be repaired
Corresponding comprehensive maintenance difficulty MJi' determine corresponding maintenance program, thus generating the maintenance policy of optimum.
This preferred embodiment has formulated the generating mode of optimum maintenance policy, and method is objective simple, the generation of maintenance policy
Consider the maintainability in addition to degree of risk and economic factors, increased objectivity and the reliability of maintenance policy formulation,
And in the face of in a large number wait the assembly to be repaired passed judgment on when, greatly reduce workload, improve work efficiency, and preferably protect
Hold the concordance of judge.
In this application scenarios, set secure threshold Ts=0.45, the exception of health status monitoring index passes judgment on precision phase
To improve 9.2%, the reliability of equipment improves 10% relatively.
Application scenarios 4
Referring to Fig. 1, Fig. 2, a kind of sea water salt extraction of an embodiment of this application scene, drinking water and generated energy reclaim
Utilization system maintenance system, obtains system, described maintenance policy including energy regenerating utilization system and maintenance policy
Acquisition system includes data acquisition module, data preprocessing module, risk determining module, maintenance policy generation module, described energy
Amount reclaims utilization system, draws subsystem, preparing salt by working up seawater subsystem, air compression subsystem, drinking water system including sea water
Take subsystem and the sub- subsystem of power generation with sea water, described sea water draws subsystem for sea water is supplied to preparing salt by working up seawater subsystem,
Heating of seawater is obtained salt and high steam by preparing salt by working up seawater subsystem.Air is carried out by air compression subsystem using high steam
Compress and stored.Drinking water is produced subsystem and for high steam is condensed into water and is made drinking water.Power generation with sea water
System is generated electricity using stored pressure-air.
Preferably, described sea water draws subsystem and includes：Air bag pump, the first reversal valve, the second reversal valve and first
High pressure tank.
This preferred embodiment being capable of improve production efficiency.
Preferably, preparing salt by working up seawater subsystem includes high frequency gasifier and salt pond, and heating of seawater is given birth to by its medium-high frequency gasifier
Become high steam and strong brine, salt pond is used for depositing strong brine and the water evaporation in strong brine being formed finished product salt.
This preferred embodiment being capable of efficiently salt manufacturing.
Preferably, described maintenance policy acquisition system 1 includes data acquisition module 11, data preprocessing module 12, risk
Determining module 13, maintenance policy generation module 14；Described data acquisition module 11 is used for gathering Monitoring Data according to monitoring policy；
Described data preprocessing module 12 is used for being normalized pretreatment to Monitoring Data；Described risk determining module 13 is used for determining
The degree of risk of assembly；Described maintenance policy generation module 14 is used for the degree of risk according to assembly, in conjunction with maintainability and warp
Ji sexual factor generates maintenance policy.
This preferred embodiment constructs the module architectures that maintenance policy obtains system 1.
Preferably, described monitoring policy includes：
(1) determine the monitoring item in each assembly, and monitoring item is divided into general monitoring item and crucial monitoring item；
(2) for general monitoring item, using wireless sensor network, the health status of monitoring item are monitored and record
Health status monitoring amount；
For crucial monitoring item, to monitoring item by the way of radio sensor network monitoring and personal monitoring combine
Health status are monitored, if the wireless senser health status monitoring amount of certain key monitoring item is m1, artificial health status prison
It is measured as m2, due to may be affected by temperature during Sensor monitoring, introduce temperature correction factor ξ, for not being subject to temperature shadow
The sensor ringing, makes ξ=1, for the sensor of temperature influence,Wherein T is monitored for sensor
When ambient temperature, T0For the standard temperature being suitable for during Sensor monitoring, then its final health status monitoring amount m is true using following formula
Fixed：
In formula, c is the constant according to monitoring item reasonable error range set；
This preferred embodiment is divided into general monitoring item and crucial monitoring item by monitoring item, and carries out in different ways
Monitoring, had both saved monitoring cost, had obtained monitoring result with a high credibility again.
Preferably, health status monitoring amount normalization is expressed as by described data preprocessing module 12：
When being in when health status monitoring amount reaches maximum the best situation of corresponding monitoring item health status：
When being in when health status monitoring amount reaches minimum the best situation of corresponding monitoring item health status,
In formula, m represents the original health monitoring variable of a certain monitoring item, and n represents the health after this monitoring item normalization
Status monitoring amount, L is the health status monitoring amount lower limit of this monitoring item, and H is the health status monitoring amount upper limit of this monitoring item
Value.
Because the monitoring meanss that different monitoring projects is taken are different, the order of magnitude of the monitoring result obtaining is different, single
Position is also different, and this preferred embodiment is normalized to health status monitoring amount, conveniently carries out comprehensive assessment to assembly.
Preferably, the described degree of risk determining assembly, including：
(1) by the health status monitoring amount weighted average after various Monitoring Data normalization of originating, obtain assembly and be good for
Health status monitoring index：
In formula, s represents assembly health status monitoring index, niFor i-th monitoring item health status monitoring amount, i=1,
2 ..., k, wiAccording to each health status monitoring amount niThe weight factor of significance level setting in assembly；
Set secure threshold Ts, Ts∈ [0.4,0.5], if health status monitoring index s are less than secure threshold Ts, then judge
Health status monitoring index s are in exception；
(2) utilize history state of health data and historical failure rate data, set up the failure rate model repaired of equipment：
In formula, r can repair fault rate for equipment, and s ' is equipment condition monitoring index, and a, b, d are three undetermined constants,For
The corrected parameter being produced according to practical application condition difference；
Wherein, determine the value of parameter a, b, d by historical state data and historical failure rate data, specially：
If equipment inner assembly number is l, certain assembly zjIn certain time period TjThe number of times inside breaking down is fj, it is corresponding
Health status monitoring index is sj, by the health status monitoring index s of multiple assembliesjWith the number of times f breaking downjCollect,
The then overall health status monitoring index of equipment and fault rate computing formula can be repaired be represented by：
By the above-mentioned health status monitoring index and failure rate model repaired that fault rate iteration enters equipment can be repaired, thus
Determine the value of parameter a, b, d；
(3) failure rate model repaired according to equipment, tries to achieve degree of risk X of each assemblyj：
In formula, j=1 ..., l,Represent and be in abnormal assembly zjHealth status monitoring index, r (s1..., sj...,
sl) each assembly monitoring index of expression be s1..., sj..., slWhen power system can repair fault rate.
This preferred embodiment sets up the failure rate model repaired of assembly health status monitoring index and power system, from
And determine the degree of risk of each assembly, be capable of more science weighs the impact journey that component failure produces to equipment dependability
Degree, thus being conducive to entering row major maintenance for the big faulty components of influence degree, saves maintenance cost, maintenance policy is more than
It is decided by the state of assembly itself, and is also dependent upon the impact to equipment dependability for the component failures, make maintenance policy more objective
See and reliable.
Preferably, described combination maintainability and economic factors generate maintenance policy, including：
(1) it is stored in data base by the predetermined maintenance policy desired parameters of expert group and by this parameter, described maintenance plan
Slightly desired parameters include：Maintenance difficulty M when each monitoring item abnormal for each assemblyJiWith maintenance economic value EJi, the wind of assembly
Dangerous degree Xj, described maintenance difficulty MJiWith maintenance economic value EJiShared weight w (Xj)、w(MJi)、w(EJi), wherein said dimension
Repair economic value EJThe ratio being worth with assembly for maintenance cost；
(2) setting determines assembly to be repaired as d according to abnormal health status monitoring indexj, j=1 ..., ld, ldFor waiting to tie up
Repair the number of assembly, according to assembly d to be repairedjEach exception monitoring item i (i=1,2 ..., k) transfer corresponding maintenance difficulty MJi
With maintenance economic value EJi, calculate comprehensive maintenance difficulty M of assembly to be repairedJi' and comprehensive maintenance economic value EJi’：
(3) calculate the maintenance tendency degree of each assembly to be repaired
Maintenance tendency degree to each assembly to be repairedSorted from big to small, so that it is determined that each assembly to be repaired
Maintenance sequencing, i.e. preferential maintenance larger maintenance tendency degreeCorresponding assembly to be repaired；In addition, according to assembly to be repaired
Corresponding comprehensive maintenance difficulty MJi' determine corresponding maintenance program, thus generating the maintenance policy of optimum.
This preferred embodiment has formulated the generating mode of optimum maintenance policy, and method is objective simple, the generation of maintenance policy
Consider the maintainability in addition to degree of risk and economic factors, increased objectivity and the reliability of maintenance policy formulation,
And in the face of in a large number wait the assembly to be repaired passed judgment on when, greatly reduce workload, improve work efficiency, and preferably protect
Hold the concordance of judge.
In this application scenarios, set secure threshold Ts=0.48, the exception of health status monitoring index passes judgment on precision phase
To improve 9%, the reliability of equipment improves 9% relatively.
Application scenarios 5
Referring to Fig. 1, Fig. 2, a kind of sea water salt extraction of an embodiment of this application scene, drinking water and generated energy reclaim
Utilization system maintenance system, obtains system, described maintenance policy including energy regenerating utilization system and maintenance policy
Acquisition system includes data acquisition module, data preprocessing module, risk determining module, maintenance policy generation module, described energy
Amount reclaims utilization system, draws subsystem, preparing salt by working up seawater subsystem, air compression subsystem, drinking water system including sea water
Take subsystem and the sub- subsystem of power generation with sea water, described sea water draws subsystem for sea water is supplied to preparing salt by working up seawater subsystem,
Heating of seawater is obtained salt and high steam by preparing salt by working up seawater subsystem.Air is carried out by air compression subsystem using high steam
Compress and stored.Drinking water is produced subsystem and for high steam is condensed into water and is made drinking water.Power generation with sea water
System is generated electricity using stored pressure-air.
Preferably, described sea water draws subsystem and includes：Air bag pump, the first reversal valve, the second reversal valve and first
High pressure tank.
This preferred embodiment being capable of improve production efficiency.
Preferably, preparing salt by working up seawater subsystem includes high frequency gasifier and salt pond, and heating of seawater is given birth to by its medium-high frequency gasifier
Become high steam and strong brine, salt pond is used for depositing strong brine and the water evaporation in strong brine being formed finished product salt.
This preferred embodiment being capable of efficiently salt manufacturing.
Preferably, described maintenance policy acquisition system 1 includes data acquisition module 11, data preprocessing module 12, risk
Determining module 13, maintenance policy generation module 14；Described data acquisition module 11 is used for gathering Monitoring Data according to monitoring policy；
Described data preprocessing module 12 is used for being normalized pretreatment to Monitoring Data；Described risk determining module 13 is used for determining
The degree of risk of assembly；Described maintenance policy generation module 14 is used for the degree of risk according to assembly, in conjunction with maintainability and warp
Ji sexual factor generates maintenance policy.
This preferred embodiment constructs the module architectures that maintenance policy obtains system 1.
Preferably, described monitoring policy includes：
(1) determine the monitoring item in each assembly, and monitoring item is divided into general monitoring item and crucial monitoring item；
(2) for general monitoring item, using wireless sensor network, the health status of monitoring item are monitored and record
Health status monitoring amount；
For crucial monitoring item, to monitoring item by the way of radio sensor network monitoring and personal monitoring combine
Health status are monitored, if the wireless senser health status monitoring amount of certain key monitoring item is m1, artificial health status prison
It is measured as m2, due to may be affected by temperature during Sensor monitoring, introduce temperature correction factor ξ, for not being subject to temperature shadow
The sensor ringing, makes ξ=1, for the sensor of temperature influence,Wherein T is monitored for sensor
When ambient temperature, T0For the standard temperature being suitable for during Sensor monitoring, then its final health status monitoring amount m is true using following formula
Fixed：
In formula, c is the constant according to monitoring item reasonable error range set；
This preferred embodiment is divided into general monitoring item and crucial monitoring item by monitoring item, and carries out in different ways
Monitoring, had both saved monitoring cost, had obtained monitoring result with a high credibility again.
Preferably, health status monitoring amount normalization is expressed as by described data preprocessing module 12：
When being in when health status monitoring amount reaches maximum the best situation of corresponding monitoring item health status：
When being in when health status monitoring amount reaches minimum the best situation of corresponding monitoring item health status,
In formula, m represents the original health monitoring variable of a certain monitoring item, and n represents the health after this monitoring item normalization
Status monitoring amount, L is the health status monitoring amount lower limit of this monitoring item, and H is the health status monitoring amount upper limit of this monitoring item
Value.
Because the monitoring meanss that different monitoring projects is taken are different, the order of magnitude of the monitoring result obtaining is different, single
Position is also different, and this preferred embodiment is normalized to health status monitoring amount, conveniently carries out comprehensive assessment to assembly.
Preferably, the described degree of risk determining assembly, including：
(1) by the health status monitoring amount weighted average after various Monitoring Data normalization of originating, obtain assembly and be good for
Health status monitoring index：
In formula, s represents assembly health status monitoring index, niFor i-th monitoring item health status monitoring amount, i=1,
2 ..., k, wiAccording to each health status monitoring amount niThe weight factor of significance level setting in assembly；
Set secure threshold Ts, Ts∈ [0.4,0.5], if health status monitoring index s are less than secure threshold Ts, then judge
Health status monitoring index s are in exception；
(2) utilize history state of health data and historical failure rate data, set up the failure rate model repaired of equipment：
In formula, r can repair fault rate for equipment, and s ' is equipment condition monitoring index, and a, b, d are three undetermined constants,For
The corrected parameter being produced according to practical application condition difference；
Wherein, determine the value of parameter a, b, d by historical state data and historical failure rate data, specially：
If equipment inner assembly number is l, certain assembly zjIn certain time period TjThe number of times inside breaking down is fj, it is corresponding
Health status monitoring index is sj, by the health status monitoring index s of multiple assembliesjWith the number of times f breaking downjCollect,
The then overall health status monitoring index of equipment and fault rate computing formula can be repaired be represented by：
By the above-mentioned health status monitoring index and failure rate model repaired that fault rate iteration enters equipment can be repaired, thus
Determine the value of parameter a, b, d；
(3) failure rate model repaired according to equipment, tries to achieve degree of risk X of each assemblyj：
In formula, j=1 ..., l,Represent and be in abnormal assembly zjHealth status monitoring index, r (s1..., sj...,
sl) each assembly monitoring index of expression be s1..., sj..., slWhen power system can repair fault rate.
This preferred embodiment sets up the failure rate model repaired of assembly health status monitoring index and power system, from
And determine the degree of risk of each assembly, be capable of more science weighs the impact journey that component failure produces to equipment dependability
Degree, thus being conducive to entering row major maintenance for the big faulty components of influence degree, saves maintenance cost, maintenance policy is more than
It is decided by the state of assembly itself, and is also dependent upon the impact to equipment dependability for the component failures, make maintenance policy more objective
See and reliable.
Preferably, described combination maintainability and economic factors generate maintenance policy, including：
(1) it is stored in data base by the predetermined maintenance policy desired parameters of expert group and by this parameter, described maintenance plan
Slightly desired parameters include：Maintenance difficulty M when each monitoring item abnormal for each assemblyJiWith maintenance economic value EJi, the wind of assembly
Dangerous degree Xj, described maintenance difficulty MJiWith maintenance economic value EJiShared weight w (Xj)、w(MJi)、w(EJi), wherein said dimension
Repair economic value EJThe ratio being worth with assembly for maintenance cost；
(2) setting determines assembly to be repaired as d according to abnormal health status monitoring indexj, j=1 ..., ld, ldFor waiting to tie up
Repair the number of assembly, according to assembly d to be repairedjEach exception monitoring item i (i=1,2 ..., k) transfer corresponding maintenance difficulty MJi
With maintenance economic value EJi, calculate comprehensive maintenance difficulty M of assembly to be repairedJi' and comprehensive maintenance economic value EJi’：
(3) calculate the maintenance tendency degree of each assembly to be repaired
Maintenance tendency degree to each assembly to be repairedSorted from big to small, so that it is determined that each assembly to be repaired
Maintenance sequencing, i.e. preferential maintenance larger maintenance tendency degreeCorresponding assembly to be repaired；In addition, according to assembly to be repaired
Corresponding comprehensive maintenance difficulty MJi' determine corresponding maintenance program, thus generating the maintenance policy of optimum.
This preferred embodiment has formulated the generating mode of optimum maintenance policy, and method is objective simple, the generation of maintenance policy
Consider the maintainability in addition to degree of risk and economic factors, increased objectivity and the reliability of maintenance policy formulation,
And in the face of in a large number wait the assembly to be repaired passed judgment on when, greatly reduce workload, improve work efficiency, and preferably protect
Hold the concordance of judge.
In this application scenarios, set secure threshold Ts=0.5, the exception of health status monitoring index passes judgment on precision relatively
Improve 8.5%, the reliability of equipment improves 8% relatively.
Finally it should be noted that above example is only in order to illustrating technical scheme, rather than the present invention is protected
The restriction of shield scope, although having made to explain to the present invention with reference to preferred embodiment, those of ordinary skill in the art should
Work as understanding, technical scheme can be modified or equivalent, without deviating from the reality of technical solution of the present invention
Matter and scope.
Claims (3)
1. a kind of sea water salt extraction, drinking water and generated energy reclaim utilization system maintenance system, it is characterized in that, including energy
Reclaim utilization system and maintenance policy obtains system, described maintenance policy obtains system and includes data acquisition module, data
Pretreatment module, risk determining module, maintenance policy generation module, described energy regenerating utilization system, draws including sea water
Subsystem, preparing salt by working up seawater subsystem, air compression subsystem, drinking water is taken to produce subsystem and the sub- subsystem of power generation with sea water, institute
State sea water and draw subsystem for sea water is supplied to preparing salt by working up seawater subsystem, heating of seawater is obtained salt by preparing salt by working up seawater subsystem
And high steam.Air is compressed using high steam and is stored by air compression subsystem.Drinking water produces subsystem
Unite for high steam being condensed into water and making drinking water.Power generation with sea water subsystem carries out sending out using stored pressure-air
Electricity.
2. a kind of sea water salt extraction according to claim 1, drinking water and generated energy reclaim utilization system maintenance system
System, is characterized in that, described sea water draws subsystem and includes：Air bag pump, the first reversal valve, the second reversal valve and the first high pressure
Air accumulator.
3. a kind of sea water salt extraction according to claim 2, drinking water and generated energy reclaim utilization system maintenance system
System, is characterized in that, preparing salt by working up seawater subsystem includes high frequency gasifier and salt pond, and heating of seawater is generated high by its medium-high frequency gasifier
Pressure steam and strong brine, salt pond is used for depositing strong brine and the water evaporation in strong brine being formed finished product salt.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11502323B1 (en) | 2022-05-09 | 2022-11-15 | Rahul S Nana | Reverse electrodialysis cell and methods of use thereof |
| US11502322B1 (en) | 2022-05-09 | 2022-11-15 | Rahul S Nana | Reverse electrodialysis cell with heat pump |
| US11855324B1 (en) | 2022-11-15 | 2023-12-26 | Rahul S. Nana | Reverse electrodialysis or pressure-retarded osmosis cell with heat pump |
| US12040517B2 (en) | 2023-05-09 | 2024-07-16 | Rahul S. Nana | Reverse electrodialysis or pressure-retarded osmosis cell and methods of use thereof |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN103101932A (en) * | 2012-12-14 | 2013-05-15 | 刘典军 | Comprehensive utilizing system for extracting salt from seawater, preparing drinking water and recovering power generation energy |
| CN104820908A (en) * | 2015-05-22 | 2015-08-05 | 中国石油化工股份有限公司 | A risk-based equipment integrity management system for oil refining enterprises |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN103101932A (en) * | 2012-12-14 | 2013-05-15 | 刘典军 | Comprehensive utilizing system for extracting salt from seawater, preparing drinking water and recovering power generation energy |
| CN104820908A (en) * | 2015-05-22 | 2015-08-05 | 中国石油化工股份有限公司 | A risk-based equipment integrity management system for oil refining enterprises |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11502323B1 (en) | 2022-05-09 | 2022-11-15 | Rahul S Nana | Reverse electrodialysis cell and methods of use thereof |
| US11502322B1 (en) | 2022-05-09 | 2022-11-15 | Rahul S Nana | Reverse electrodialysis cell with heat pump |
| US11563229B1 (en) | 2022-05-09 | 2023-01-24 | Rahul S Nana | Reverse electrodialysis cell with heat pump |
| US11611099B1 (en) | 2022-05-09 | 2023-03-21 | Rahul S Nana | Reverse electrodialysis cell and methods of use thereof |
| US11699803B1 (en) | 2022-05-09 | 2023-07-11 | Rahul S Nana | Reverse electrodialysis cell with heat pump |
| US11855324B1 (en) | 2022-11-15 | 2023-12-26 | Rahul S. Nana | Reverse electrodialysis or pressure-retarded osmosis cell with heat pump |
| US12040517B2 (en) | 2023-05-09 | 2024-07-16 | Rahul S. Nana | Reverse electrodialysis or pressure-retarded osmosis cell and methods of use thereof |
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