CN115028301B - Intelligent purifying swimming pool water recycling system and method - Google Patents
Intelligent purifying swimming pool water recycling system and method Download PDFInfo
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- CN115028301B CN115028301B CN202210613811.3A CN202210613811A CN115028301B CN 115028301 B CN115028301 B CN 115028301B CN 202210613811 A CN202210613811 A CN 202210613811A CN 115028301 B CN115028301 B CN 115028301B
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- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 title claims abstract description 283
- 230000009182 swimming Effects 0.000 title claims abstract description 168
- 238000000034 method Methods 0.000 title claims abstract description 22
- 238000004064 recycling Methods 0.000 title claims abstract description 19
- 238000011282 treatment Methods 0.000 claims abstract description 55
- 238000012544 monitoring process Methods 0.000 claims abstract description 41
- 238000012545 processing Methods 0.000 claims abstract description 29
- 241001481710 Cerambycidae Species 0.000 claims description 32
- 230000006870 function Effects 0.000 claims description 23
- 238000004062 sedimentation Methods 0.000 claims description 21
- 238000013178 mathematical model Methods 0.000 claims description 19
- XSQUKJJJFZCRTK-UHFFFAOYSA-N Urea Chemical compound NC(N)=O XSQUKJJJFZCRTK-UHFFFAOYSA-N 0.000 claims description 14
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims description 14
- 239000004202 carbamide Substances 0.000 claims description 14
- 238000004891 communication Methods 0.000 claims description 14
- 238000001914 filtration Methods 0.000 claims description 14
- 238000005457 optimization Methods 0.000 claims description 14
- 239000001301 oxygen Substances 0.000 claims description 14
- 229910052760 oxygen Inorganic materials 0.000 claims description 14
- 238000004659 sterilization and disinfection Methods 0.000 claims description 14
- 241000254173 Coleoptera Species 0.000 claims description 13
- ZAMOUSCENKQFHK-UHFFFAOYSA-N Chlorine atom Chemical compound [Cl] ZAMOUSCENKQFHK-UHFFFAOYSA-N 0.000 claims description 12
- 239000000460 chlorine Substances 0.000 claims description 12
- 229910052801 chlorine Inorganic materials 0.000 claims description 12
- 230000001502 supplementing effect Effects 0.000 claims description 12
- 230000008569 process Effects 0.000 claims description 8
- 239000003153 chemical reaction reagent Substances 0.000 claims description 6
- 239000003795 chemical substances by application Substances 0.000 claims description 6
- 239000011159 matrix material Substances 0.000 claims description 6
- 238000001556 precipitation Methods 0.000 claims description 6
- 230000004044 response Effects 0.000 claims description 6
- 230000006872 improvement Effects 0.000 claims description 5
- 230000033116 oxidation-reduction process Effects 0.000 claims description 4
- 230000001105 regulatory effect Effects 0.000 claims description 4
- 230000001954 sterilising effect Effects 0.000 claims description 4
- KZBUYRJDOAKODT-UHFFFAOYSA-N Chlorine Chemical compound ClCl KZBUYRJDOAKODT-UHFFFAOYSA-N 0.000 claims description 3
- 230000001133 acceleration Effects 0.000 claims description 3
- 150000001875 compounds Chemical class 0.000 claims description 3
- 230000001276 controlling effect Effects 0.000 claims description 3
- 230000000249 desinfective effect Effects 0.000 claims description 3
- 238000011221 initial treatment Methods 0.000 claims description 3
- 238000003756 stirring Methods 0.000 description 6
- 230000009471 action Effects 0.000 description 3
- 230000002068 genetic effect Effects 0.000 description 3
- 230000003993 interaction Effects 0.000 description 3
- 238000005352 clarification Methods 0.000 description 2
- 230000015271 coagulation Effects 0.000 description 2
- 238000005345 coagulation Methods 0.000 description 2
- 239000012535 impurity Substances 0.000 description 2
- 230000007246 mechanism Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
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- 230000003044 adaptive effect Effects 0.000 description 1
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- 230000005540 biological transmission Effects 0.000 description 1
- 239000013043 chemical agent Substances 0.000 description 1
- 238000004140 cleaning Methods 0.000 description 1
- 239000000701 coagulant Substances 0.000 description 1
- 238000010219 correlation analysis Methods 0.000 description 1
- 239000000645 desinfectant Substances 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 201000010099 disease Diseases 0.000 description 1
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000003344 environmental pollutant Substances 0.000 description 1
- 230000010365 information processing Effects 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000010606 normalization Methods 0.000 description 1
- 230000008447 perception Effects 0.000 description 1
- 231100000719 pollutant Toxicity 0.000 description 1
- 238000000746 purification Methods 0.000 description 1
- 238000012958 reprocessing Methods 0.000 description 1
- 239000013049 sediment Substances 0.000 description 1
- 239000010802 sludge Substances 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Classifications
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- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F9/00—Multistage treatment of water, waste water or sewage
-
- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F1/00—Treatment of water, waste water, or sewage
- C02F1/001—Processes for the treatment of water whereby the filtration technique is of importance
-
- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F1/00—Treatment of water, waste water, or sewage
- C02F1/30—Treatment of water, waste water, or sewage by irradiation
- C02F1/32—Treatment of water, waste water, or sewage by irradiation with ultraviolet light
-
- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F1/00—Treatment of water, waste water, or sewage
- C02F1/50—Treatment of water, waste water, or sewage by addition or application of a germicide or by oligodynamic treatment
-
- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F1/00—Treatment of water, waste water, or sewage
- C02F1/52—Treatment of water, waste water, or sewage by flocculation or precipitation of suspended impurities
-
- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F1/00—Treatment of water, waste water, or sewage
- C02F1/66—Treatment of water, waste water, or sewage by neutralisation; pH adjustment
-
- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F1/00—Treatment of water, waste water, or sewage
- C02F2001/007—Processes including a sedimentation step
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- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F2103/00—Nature of the water, waste water, sewage or sludge to be treated
- C02F2103/42—Nature of the water, waste water, sewage or sludge to be treated from bathing facilities, e.g. swimming pools
-
- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F2209/00—Controlling or monitoring parameters in water treatment
- C02F2209/005—Processes using a programmable logic controller [PLC]
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A20/00—Water conservation; Efficient water supply; Efficient water use
- Y02A20/30—Relating to industrial water supply, e.g. used for cooling
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- Life Sciences & Earth Sciences (AREA)
- Hydrology & Water Resources (AREA)
- Engineering & Computer Science (AREA)
- Environmental & Geological Engineering (AREA)
- Water Supply & Treatment (AREA)
- Chemical & Material Sciences (AREA)
- Organic Chemistry (AREA)
- Treatment Of Water By Oxidation Or Reduction (AREA)
Abstract
The invention discloses an intelligent purifying swimming pool water recycling system and method, wherein the system comprises the following components: the swimming pool is provided with a water outlet and a water inlet; the first treatment unit is communicated with the water outlet of the swimming pool; the second treatment unit is communicated with the water outlet of the first treatment unit; the second processing unit comprises a water storage tank and a water outlet quality monitoring system, and the water outlet quality monitoring system adopts an improved BAS algorithm to solve a swimming pool water outlet quality monitoring model so as to realize water quality monitoring; and the water inlet of the third treatment unit is communicated with the water outlet of the second treatment unit, the water outlet of the third treatment unit is communicated with the water inlet of the swimming pool, and water meeting the requirements is filled into the swimming pool. According to the invention, the second processing unit is provided with the water quality monitoring system, and the improved BAS algorithm is adopted to solve the water quality model, so that the high-efficiency monitoring of water quality is realized, and the problem of low efficiency of the traditional BAS algorithm is solved.
Description
Technical Field
The invention relates to the technical field of swimming pool water treatment, in particular to an intelligent purifying swimming pool water recycling system and method.
Background
Along with the continuous improvement of the living standard of people, the swimming pool is used as a water entertainment and body-building facility, and more people walk into the daily life of people, so that the swimming pool becomes a favorite entertainment facility for people. At present, the water resource reservation of people in China is tense, but most swimming pool water can be drained due to uncleanness after the swimming pool water is used. It has been found that a typical swimming pool requires approximately 20 tons of water to be replaced once a week for approximately 52 weeks a year, i.e., approximately 1040 tons of water are replaced for a swimming pool a year, and thousands of swimming pools are nationwide, so that the amount of water waste per year is a huge astronomical figure.
On the other hand, people can bring some pollutants to the swimming pool in the swimming process of the swimming pool, the water quality condition of the swimming pool is worry, the disinfection of the swimming pool water is a very important problem, and if the disinfection is not well solved, the swimming pool can become a place for transmitting diseases. The water purifying steps of most swimming pools are coagulation, clarification, pool suction and disinfection, wherein the coagulation and clarification are to convert impurities in the swimming pools into large particles through the action of a coagulant, then remove large-particle sludge at the bottom of the pool, and then add a disinfectant into water for disinfection.
Disclosure of Invention
The invention provides an intelligent purifying swimming pool water recycling system and method, which aim to solve the problems in the background technology.
The technical scheme of the invention is realized as follows:
an intelligent purified swimming pool water recycling system comprising:
the swimming pool is provided with a water outlet and a water inlet;
the first treatment unit is communicated with the water outlet of the swimming pool and is used for carrying out primary treatment on the swimming pool water;
the second treatment unit is communicated with the water outlet of the first treatment unit and is used for treating the swimming pool water treated by the first treatment unit again; the second processing unit comprises a water storage tank and a water outlet quality monitoring system, and the water outlet quality monitoring system adopts an improved BAS algorithm to solve a swimming pool water outlet quality monitoring model so as to realize water quality monitoring;
The water inlet of the third treatment unit is communicated with the water outlet of the second treatment unit, the water outlet of the third treatment unit is communicated with the water inlet of the swimming pool, and the third treatment unit is used for reprocessing the swimming pool water treated by the second treatment unit and supplementing water meeting the requirements into the swimming pool;
And the intelligent control system is used for controlling the actions of the first processing unit, the second processing unit and the third processing unit and can perform remote interaction with the control computer.
Further optimizing the technical scheme, the first processing unit includes:
The filter screen is arranged at the water outlet of the swimming pool;
the first communication pipe is communicated with the water outlet of the swimming pool;
The sedimentation tank is communicated with the water outlet end of the first communication pipe;
the first water pump is arranged on the first communication pipe and is used for sucking swimming pool water into the settling tank;
and the power-on filtering assembly is arranged in the settling tank and is used for filtering the water flow in the settling tank in a power-on state.
According to the further optimized technical scheme, the water inlet end of the water storage tank is communicated with the water outlet end of the sedimentation tank through a second communicating pipe, and a second water pump is arranged on the second communicating pipe.
According to the further optimized technical scheme, a chemical reagent adding system is arranged on the water storage tank and used for adding a liquid chlorine agent and/or a PH regulating agent.
Further optimizing the technical scheme, the third processing unit includes:
the disinfection box is communicated with the water outlet end of the water storage box and is used for disinfecting the inflowing water flow;
The third communicating pipe is communicated between the water storage tank and the disinfection tank;
The third water pump is arranged on the third communicating pipe;
the water supplementing pool is provided with a water inlet end communicated with the sterilizing box and a water outlet end communicated with a water inlet of the swimming pool.
The intelligent purified swimming pool water recycling method is characterized by comprising the following steps of:
s1, carrying out preliminary filtration and precipitation treatment on swimming pool water;
S2, the swimming pool water subjected to preliminary filtration and precipitation treatment is treated again, the swimming pool water composition is analyzed, the quality of the swimming pool water outlet is monitored by utilizing an improved BAS algorithm, and a swimming pool water outlet quality monitoring model is solved, so that the monitoring of water quality is realized; if the swimming pool water meets the requirements, smoothly entering the third treatment unit; if the swimming pool water does not meet the requirements, adjusting the swimming pool water by adding a chemical compound reagent until the swimming pool water meets the requirements;
S3, the swimming pool water meeting the requirements in the step S2 is treated again through a third treatment unit, and the swimming pool water meeting the requirements after being treated by the third treatment unit is fed into the swimming pool.
In the step S2, the oxidation-reduction potential of the water in the swimming pool, the residual chlorine value, the oxygen concentration of the dissolved water, the PH value of the swimming pool water, and the urea concentration are monitored.
According to the technical scheme, the swimming pool water outlet water quality monitoring models are divided into two types, wherein one type of swimming pool water outlet water quality monitoring model is a mathematical model with constraint conditions, and the other type of swimming pool water outlet water quality monitoring model is a mathematical model without constraint conditions;
The unconstrained mathematical model is written as:
Wherein: d (δ) is a function of the concentration of residual chlorine contained in the swimming pool water;
The constrained mathematical model is written as:
the constraint mathematical model satisfies:
Wherein: h (β) is a swimming pool water ORP function; For the constraint equation of urea concentration in swimming pool water,/> The concentration of each component contained in the swimming pool water is U is a urea concentration response matrix of the swimming pool water,/>Is a parameter/>The concentration of urea is required for constraint; /(I)For dissolved oxygen constraint equation,/>Under the constraint that the concentration of dissolved oxygen is required, V is a swimming pool water dissolved oxygen concentration response matrix,/>Is a parameter;
For the constraint minimization model, converting the constraint minimization problem into the unconstrained minimization problem by using a penalty function method, namely, taking an optimization criterion function as follows:
Wherein f is an optimization criterion function; x 1、x2 is an optimized variable to be solved, and the variation interval is (0, 1); k i(mi) is a penalty term.
According to a further optimized technical scheme, the solving process of the swimming pool water outlet water quality monitoring model comprises the following steps of:
S100, initializing, inputting water quality monitoring model information, and setting related parameters for improving a BAS algorithm;
s200, randomly generating the longicorn of the number to form an initial population Wherein N represents the population number of the longicorn; dim represents the dimension of the optimization problem;
S300, calculating a fitness function f (x) according to the required residual chlorine concentration and OPR concentration range;
s400, optimizing at a global optimal individual by initializing the optimal position of the population, and updating the global optimal position of the population according to a position writing formula of the Tianniu;
S500, performing global optimal search according to the step S300 and the step S400, guiding the longicorn individual to move to the global optimal position, and judging whether the maximum iteration times are reached; if the maximum number of iterations is not reached, the process returns to step S300.
In the step S300, the fitness function f (x) is calculated by adopting a unidirectional search and a multidirectional search.
By adopting the technical scheme, the invention has the beneficial effects that:
according to the invention, the swimming pool water is treated by the first treatment unit, the second treatment unit and the third treatment unit in sequence until the swimming pool water meets the requirement, and then the swimming pool water is refilled into the swimming pool, so that the recycling of the water is realized, and the water recycling rate is improved; in the invention, the second processing unit is provided with the water quality monitoring system, and the improved BAS algorithm is adopted to solve the water quality model, so that the high-efficiency monitoring of the water quality is realized, and the problem of low efficiency of the traditional BAS algorithm is solved.
The improved BAS algorithm adopts unidirectional search and multidirectional search to replace indiscriminate random search in the original algorithm, limits the search range, reduces the search times, thereby reducing the required time, and simultaneously, in order to avoid the conditions that the parameters of the standard longhorn beetle whisker algorithm are simple and the optimal solution is easy to find, and the like, parameter optimization is carried out on the longhorn beetle whisker search, and the fixed step length of the search is changed into variable step length search.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions of the prior art, the drawings which are used in the description of the embodiments or the prior art will be briefly described, it being obvious that the drawings in the description below are only some embodiments of the invention, and that other drawings can be obtained according to these drawings without inventive faculty for a person skilled in the art.
FIG. 1 is a schematic diagram of the intelligent purified swimming pool water recycling system of the present invention;
FIG. 2 is a schematic cross-sectional view of a settling tank in an intelligent purified swimming pool water recycling system of the present invention;
FIG. 3 is a flow chart of the present invention based on an adaptive genetic algorithm.
Wherein: 1. swimming pools; 2. a first processing unit; 3. a second processing unit; 4. a third processing unit; 5. a sediment filter layer; 6. a motor; 7. a rotating rod; 8. stirring blades; 9. a charged filter; 10. a sedimentation tank.
Detailed Description
The technical solution of the present invention will be clearly and completely described in conjunction with the specific embodiments, but it should be understood by those skilled in the art that the embodiments described below are only for illustrating the present invention and should not be construed as limiting the scope of the present invention. All other embodiments, which can be made by one of ordinary skill in the art without undue burden on the person of ordinary skill in the art based on the embodiments of the present invention, are within the scope of the present invention.
The embodiment discloses an intelligent purifying swimming pool water recycling system, which is shown in combination with fig. 1 to 2 and comprises a swimming pool 1, a first processing unit 2, a second processing unit 3, a third processing unit 4 and an intelligent control system.
The swimming pool 1 is provided with a water outlet and a water inlet, and the specification of the swimming pool 1 can be set according to actual needs.
The intelligent control system is used for controlling the actions of the first processing unit 2, the second processing unit 3 and the third processing unit 4 and can remotely interact with a control computer. The intelligent control system comprises a PLC control module, a remote communication module and a man-machine interaction interface, parameters of the whole intelligent water purification system and the running condition of equipment are monitored through the man-machine interaction interface, and the running condition of the equipment is uploaded to a control computer through a remote information processing and transmission module.
The first treatment unit 2 is communicated with the water outlet of the swimming pool and is used for carrying out primary treatment on the swimming pool water. The first processing unit 2 comprises a filter screen, a first communication pipe, a sedimentation tank, a first water pump and an electrified filter assembly.
The filter screen is arranged at the water outlet of the swimming pool and is used for primarily filtering the swimming pool water. The filter screen is a filter screen with standard mesh number of 16 meshes and mesh size of 1mm, is arranged at the water outlet of the swimming pool, and can filter hair and other impurities.
The first communication pipe is communicated with the water outlet of the swimming pool, and the communication between the swimming pool and the sedimentation tank is realized through the first communication pipe.
The sedimentation tank is communicated with the water outlet end of the first communication pipe and is used for carrying out sedimentation treatment on swimming pool water.
Two sedimentation filter layers 5 are arranged in the sedimentation tank and are a first sedimentation filter layer and a second sedimentation filter layer respectively, and an electrified filter assembly is arranged between the first sedimentation filter layer and the second sedimentation filter layer.
The first water pump is arranged on the first communication pipe and is used for pumping swimming pool water into the settling tank.
The power-on filter assembly is arranged in the sedimentation tank and is used for carrying out filtering treatment on water flow in the sedimentation tank in a power-on state, and the power-on filter assembly can adopt a conventional structure in the prior art.
Further, the first treatment unit 2 further includes a flocculant adding mechanism and a rotary stirring device. The flocculant adding mechanism is arranged above the settling tank. The rotary stirring device is arranged in the settling tank, so that water in the settling tank can be sufficiently stirred, and further, the water can be sufficiently mixed with the added flocculant. And filtering the swimming pool water through the electrified filtering assembly.
The rotary stirring device comprises a motor 6, a rotating rod 7 and stirring blades 8, wherein the motor 6 can drive the rotating rod 7 and the stirring blades 8 to rotate, and a controlled end of the motor 6 is connected with an output end of the PLC control module.
The power-on filter assembly is a power-on filter body 9, the controlled end of the power-on filter body 9 is connected to the output end of the PLC control module, and the on-off electric operation of the power-on filter body 9 is controlled by the PLC control module.
The second treatment unit 3 is communicated with the water outlet of the first treatment unit 2 and is used for treating the swimming pool water treated by the first treatment unit 2 again.
The second treatment unit 3 comprises a water storage tank and a water quality monitoring system.
The water outlet quality monitoring system is arranged outside the water storage tank and is used for analyzing the water components of the swimming pool, the water outlet quality of the swimming pool is monitored by utilizing a self-adaptive genetic algorithm, and the water quality of the swimming pool needs to meet the national standard of oxidation-reduction potential (ORP), residual chlorine value, oxygen concentration of dissolved water, PH value of the swimming pool, urea concentration and the like. Through correlation analysis, the concentration of dissolved oxygen, the concentration of urea and the like can influence the ORP of the swimming pool water, so the concentration of residual chlorine and the ORP are used as input variables of a water quality measurement monitoring model, and finally, the self-adaptive genetic algorithm is used for solving, when the swimming pool water meeting the national standard smoothly enters a disinfection pool, and swimming pool water not meeting the national standard is regulated by chemical agents and then is monitored until indexes meet the national standard.
The water inlet end of the water storage tank is communicated with the water outlet end of the sedimentation tank through a second communicating pipe, the communication between the first processing unit 2 and the second processing unit 3 is realized through the second communicating pipe, a second water pump is arranged on the second communicating pipe, and water in the sedimentation tank is pumped into the water storage tank through the second water pump.
The water storage tank is provided with a chemical reagent adding system which is used for adding a liquid chlorine agent and/or a PH regulating agent.
The water inlet of the third treatment unit 4 is communicated with the water outlet of the second treatment unit 3, and the water outlet is communicated with the water inlet of the swimming pool 1. The third treatment unit 4 is used for treating the swimming pool water treated by the second treatment unit 3 again and supplementing the water meeting the requirements into the swimming pool.
The third processing unit 4 comprises a sterilizing box, a third communicating pipe, a third water pump and a water supplementing tank.
The disinfection box is communicated with the water outlet end of the water storage box and is used for disinfecting the inflowing water flow.
The third communicating pipe is communicated and arranged between the water storage tank and the disinfection tank.
The third water pump is arranged on the third communicating pipe to realize pumping of water flow in the water storage tank so as to keep the water flow unobstructed.
The water inlet end of the water supplementing pool is communicated with the sterilizing box, the water outlet end of the water supplementing pool is communicated with the water inlet of the swimming pool, and water meeting the requirements can be supplemented into the swimming pool. The water supplementing pool is used for supplementing the swimming pool with the poor water amount in order to enable the swimming pool to reach the required water level.
The ultraviolet disinfection lamp which is uniformly distributed is fixedly connected on the inner surface of the disinfection box, and the water tank self-cleaning sterilizer is arranged at the middle lower part of the water tank, so that swimming pool water can be effectively disinfected, no chemical disinfection residues exist, and the skin of people can not be harmed.
An intelligent purified swimming pool water recycling method is performed based on an intelligent purified swimming pool water recycling system and comprises the following steps:
S1, carrying out preliminary filtration and precipitation treatment on swimming pool water.
S2, the swimming pool water subjected to preliminary filtration and precipitation treatment is treated again, the swimming pool water composition is analyzed, the quality of the swimming pool water outlet is monitored by utilizing an improved BAS algorithm, and a swimming pool water outlet quality monitoring model is solved, so that the monitoring of water quality is realized; if the swimming pool water meets the requirements, smoothly entering the third treatment unit; if the swimming pool water does not meet the requirements, adjusting the swimming pool water by adding the chemical compound reagent until the swimming pool water meets the requirements.
In step S2, the oxidation-reduction potential of the inflow water, the residual chlorine value, the oxygen concentration of the dissolved water, the PH value of the swimming pool water and the urea concentration are monitored.
Swimming pool water outlet quality monitoring models are divided into two types, wherein one type of swimming pool water outlet quality monitoring model is a mathematical model with constraint conditions, and the other type of swimming pool water outlet quality monitoring model is a mathematical model without constraint conditions. Wherein the mathematical model of residual chlorine concentration is an unconstrained mathematical model, and the mathematical model of ORP is a constrained mathematical model.
The unconstrained mathematical model is:
Wherein: d (δ) is a function of the concentration of residual chlorine contained in the swimming pool water.
The constrained mathematical model is:
the constraint mathematical model satisfies:
Wherein: h (β) is a swimming pool water ORP function; For the constraint equation of urea concentration in swimming pool water,/> The concentration of each component contained in the swimming pool water is U is a urea concentration response matrix of the swimming pool water,/>Is a parameter/>The concentration of urea is required for constraint; /(I)For dissolved oxygen constraint equation,/>Under the constraint that the concentration of dissolved oxygen is required, V is a swimming pool water dissolved oxygen concentration response matrix,/>Is a parameter.
For the problem that the minimization model with constraint conditions is not well solved, the constraint minimization problem is converted into the unconstrained minimization problem by using a penalty function method, namely, an optimization criterion function is taken as follows:
Wherein f is an optimization criterion function; x 1、x2 is an optimized variable to be solved, and the variation interval is (0, 1); k i(mi) is a penalty term. The value is 0 when constraint m i of the model is satisfied, otherwise the value is 10 5. And finally, solving the water quality monitoring model by adopting an improved BAS algorithm.
The BAS algorithm relies on the longicorn to travel to the side where the antenna senses the strong food concentration until the food is finally found. According to this principle, a functionally optimal solution is sought. However, the BAS algorithm is required to be improved because the parameters of the BAS algorithm are simple, the optimal solution cannot be found easily, the convergence speed is low, the efficiency is low, and the like, and the model cannot be solved efficiently.
The improvement process of the BAS algorithm is as follows:
The invention provides a method for randomly assigning an initial position to each longicorn, which aims at solving the problem of low BAS efficiency by optimizing single longicorn into group search optimization, moving N longicorn towards N directions, accelerating the global optimal search of the longicorn group, further improving the possibility of the longicorn finding a better position, avoiding the problem of sinking into local extremum and solving the problem of low BAS efficiency And an initial velocity/>Introducing an acceleration/>The improved BAS algorithm adopts unidirectional search and multidirectional search to replace indiscriminate random search in the original algorithm, limits the search range, reduces the search times, thereby reducing the required time, and simultaneously, in order to avoid the conditions that the parameters of the standard longhorn beetle whisker algorithm are simple and the optimal solution is easy to find, and the like, parameter optimization is carried out on the longhorn beetle whisker search, and the fixed step length of the search is changed into variable step length search.
The solving process of the swimming pool water outlet water quality monitoring model comprises the following steps:
S100, initializing, inputting water quality monitoring model information, and setting related parameters for improving the BAS algorithm.
S200, randomly generating the longicorn of the number to form an initial populationWherein N represents the population number of the longicorn; dim represents the dimension of the optimization problem.
S300, calculating the fitness function f (x) by adopting a unidirectional searching mode and a multidirectional searching mode according to the required residual chlorine concentration and OPR concentration range.
Improving one-way vector search set of BAS algorithmAnd longhorn beetle unidirectional search whisker position set H s, wherein/>The direction vector is searched for the i first element in one direction. Unidirectional search direction vector/>The expression is as follows: /(I)The multi-directional search is performed to obtain a direction vector set asAnd a longicorn multi-directional search whisker position set. Direction vector/>The expression is as follows:
S400, optimizing at the global optimal individual by initializing the optimal position of the population, and updating the global optimal position of the population according to the position writing formula of the Tianniu.
S500, performing more accurate and rapid global optimal search according to the step S300 and the step S400 of the improved BAS algorithm, guiding the longicorn individual to move to the global optimal position, and judging whether the maximum iteration times are reached. If the maximum number of iterations is not reached, the process returns to step S300.
The following formula is adopted:
Wherein: For the position of the ith longicorn after the t-th iteration,/> For the speed of the ith longicorn after the t iteration,/>Acceleration of the ith longhorn beetle after the t iteration. T is the maximum number of iterations, m 0 and m 1 are constants, m 0 takes 0.9 and m 1 takes 0.4, T is the current number of iterations.
Step S400 carries out more accurate and rapid global optimal search according to the step S200 and the step S300 of the improved BAS algorithm, guides the longicorn individual to move to the global optimal position, and step S500 judges whether the maximum iteration number is reached or not, and if not, the step S200 is shifted.
More specifically, in the invention, when the BAS algorithm is calculated, firstly, a feasible solution is taken as an initial position, and an optimal solution is searched through iteration. When the longhorn beetles are in the initial value position, defaulting to the random orientation of the longhorn beetles. In the n-dimensional space, the position of the longhorn beetles and the orientation of the longhorn beetles which are randomly generated are described, and normalization processing is carried out.
Wherein: d denotes the spatial dimension and rands (k, 1) denotes the random function.
Secondly, searching leftwards and rightwards through the perception of the longicorn tentacles, and establishing an expression of the left and right tentacles and the mass center of the longicorn:
Wherein: x is the position of the centroid of the longicorn at the t (t=0, 1,2, …, n) iteration, x ri is the position of the right longicorn at the t iteration, x li is the position of the left longicorn at the t iteration, Is the distance between the two beards of the longhorn beetle for the t-th iteration. The two formulas above represent the search parameters/>And update rules for eta.
Finally, a longicorn position updating iterative model is required to be established, the odor concentration of the longicorn 2 side tentacles is calculated by combining the fitness function f (x), namely f (x ri) and f (x li), the next position of the longicorn centroid is updated by using a position updating formula, and the iteration is sequentially carried out until an optimal solution is found:
Ht＝etat×Ht-1
etat＝0.95×etat-1
Wherein: f (x) is the odor concentration at the x position, which is the fitness function; sign () is a sign function, returning the sign of a argument. If f (x ri)＜f(xli), then the longhorn beetle must travel in the left whisker direction; if f (x ri)＞f(xli), travel in the right direction is necessary; h t denotes the step size at the t-th iteration, eta is the step size factor of the search, and O (d t) is an infinitesimal value.
S3, the swimming pool water meeting the requirements in the step S2 is treated again through a third treatment unit, and the swimming pool water meeting the requirements after being treated by the third treatment unit is fed into the swimming pool.
While the invention has been described in detail in the foregoing general description and specific examples, it will be apparent to those skilled in the art that modifications and improvements can be made thereto. Accordingly, such modifications or improvements may be made without departing from the spirit of the invention and are intended to be within the scope of the invention as claimed.
Claims (1)
1. An intelligent purified swimming pool water recycling method is characterized in that the intelligent purified swimming pool water recycling method is performed based on an intelligent purified swimming pool water recycling system, and the intelligent purified swimming pool water recycling system comprises the following components:
a swimming pool (1), wherein the swimming pool (1) is provided with a water outlet and a water inlet;
the first treatment unit (2) is communicated with the water outlet of the swimming pool and is used for carrying out primary treatment on the swimming pool water;
The second treatment unit (3) is communicated with the water outlet of the first treatment unit (2) and is used for treating the swimming pool water treated by the first treatment unit (2) again; the second processing unit (3) comprises a water storage tank and a water outlet quality monitoring system, and the water outlet quality monitoring system adopts an improved BAS algorithm to solve a swimming pool water outlet quality monitoring model so as to realize water quality monitoring;
The water inlet of the third treatment unit (4) is communicated with the water outlet of the second treatment unit (3) and the water outlet of the third treatment unit is communicated with the water inlet of the swimming pool (1), and the third treatment unit is used for treating the swimming pool water treated by the second treatment unit (3) again and supplementing water meeting the requirements into the swimming pool;
The intelligent control system is used for controlling actions of the first processing unit (2), the second processing unit (3) and the third processing unit (4) and can remotely interact with the control computer;
The first processing unit (2) comprises:
The filter screen is arranged at the water outlet of the swimming pool;
the first communication pipe is communicated with the water outlet of the swimming pool;
The sedimentation tank is communicated with the water outlet end of the first communication pipe;
the first water pump is arranged on the first communication pipe and is used for sucking swimming pool water into the settling tank;
The power-on filtering component is arranged in the sedimentation tank and is used for filtering the water flow in the sedimentation tank in a power-on state;
the water inlet end of the water storage tank is communicated with the water outlet end of the sedimentation tank through a second communicating pipe, and a second water pump is arranged on the second communicating pipe;
A chemical reagent adding system is arranged on the water storage tank and is used for adding a liquid chlorine agent and/or a PH regulating agent;
The third processing unit (4) comprises:
the disinfection box is communicated with the water outlet end of the water storage box and is used for disinfecting the inflowing water flow;
The third communicating pipe is communicated between the water storage tank and the disinfection tank;
The third water pump is arranged on the third communicating pipe;
The water inlet end of the water supplementing pool is communicated with the sterilizing box, and the water outlet end of the water supplementing pool is communicated with the water inlet of the swimming pool;
the intelligent purifying swimming pool water recycling method comprises the following steps:
s1, carrying out preliminary filtration and precipitation treatment on swimming pool water;
s2, the swimming pool water subjected to preliminary filtration and precipitation treatment is treated again, the swimming pool water composition is analyzed, the quality of the swimming pool water outlet is monitored by utilizing an improved BAS algorithm, and a swimming pool water outlet quality monitoring model is solved, so that the monitoring of water quality is realized; if the swimming pool water meets the requirements, smoothly entering the third treatment unit; if the swimming pool water does not meet the requirements, adjusting the swimming pool water by adding a chemical compound reagent until the swimming pool water meets the requirements; in the step S2, the oxidation-reduction potential of the inflow water, the residual chlorine value, the oxygen concentration of the dissolved water, the PH value of the swimming pool water and the urea concentration of the swimming pool water are monitored;
S3, re-treating the swimming pool water meeting the requirements in the step S2 through a third treatment unit, and supplementing the swimming pool water meeting the requirements after being treated by the third treatment unit into a swimming pool;
The swimming pool water outlet quality monitoring models are divided into two types, wherein one type of swimming pool water outlet quality monitoring model is a mathematical model with constraint conditions, and the other type of swimming pool water outlet quality monitoring model is a mathematical model without constraint conditions;
the unconstrained mathematical model is:
Wherein: as a function of the concentration of residual chlorine contained in the swimming pool water;
The constrained mathematical model is:
the constraint mathematical model satisfies:
Wherein: Is an ORP function of swimming pool water; /(I) For the constraint equation of urea concentration in swimming pool water,/>The concentration of each component contained in the swimming pool water is U is a urea concentration response matrix of the swimming pool water,/>Is a parameter/>The concentration of urea is required for constraint; /(I)For dissolved oxygen constraint equation,/>Under the constraint that the concentration of dissolved oxygen is required, V is a swimming pool water dissolved oxygen concentration response matrix,/>Is a parameter;
For the constraint minimization model, converting the constraint minimization problem into the unconstrained minimization problem by using a penalty function method, namely, taking an optimization criterion function as follows:
wherein f is an optimization criterion function; 、/> The variation interval of the variable is (0, 1) as an optimized variable to be solved; /(I) Is a penalty term;
The solving process of the swimming pool water outlet water quality monitoring model comprises the following steps:
S100, initializing, inputting water quality monitoring model information, and setting related parameters for improving a BAS algorithm;
s200, randomly generating the longicorn of the number to form an initial population Wherein N represents the population number of longicorn; dim represents the dimension of the optimization problem;
s300, calculating a fitness function f (x) according to the required residual chlorine concentration and ORP range;
s400, optimizing at a global optimal individual by initializing the optimal position of the population, and updating the global optimal position of the population according to a position writing formula of the Tianniu;
S500, performing global optimal search according to the step S300 and the step S400, guiding the longicorn individual to move to the global optimal position, and judging whether the maximum iteration times are reached; if the maximum iteration number is not reached, returning to the step S300;
In the step S300, the fitness function f (x) is calculated by adopting a unidirectional searching and multidirectional searching mode;
The improvement process of the BAS algorithm is as follows: optimizing the single longicorn into a group search optimization, and moving N longicorn towards N directions to accelerate the global optimal search of the longicorn group, thereby improving the possibility of the longicorn finding a better position; giving each longicorn a random initial position And an initial velocity/>And introducing an acceleration/>; The improved BAS algorithm adopts unidirectional search and multidirectional search to replace indiscriminate random search in the original algorithm, limits the search range and reduces the search times, thereby reducing the required time, and simultaneously, parameter optimization is carried out on the longhorn beetle whisker search, and the fixed step size of the search is changed into variable step size search. /(I)
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