CN108425405A - A kind of monitoring of networking water source and water supply by stage device and its monitoring system - Google Patents
A kind of monitoring of networking water source and water supply by stage device and its monitoring system Download PDFInfo
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- CN108425405A CN108425405A CN201810284475.6A CN201810284475A CN108425405A CN 108425405 A CN108425405 A CN 108425405A CN 201810284475 A CN201810284475 A CN 201810284475A CN 108425405 A CN108425405 A CN 108425405A
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- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 title claims abstract description 222
- 238000012544 monitoring process Methods 0.000 title claims abstract description 66
- 230000006855 networking Effects 0.000 title claims abstract description 23
- 238000012806 monitoring device Methods 0.000 claims abstract description 31
- 230000001537 neural effect Effects 0.000 claims description 46
- 238000004891 communication Methods 0.000 claims description 18
- 239000002131 composite material Substances 0.000 claims description 16
- 238000012545 processing Methods 0.000 claims description 14
- 239000003651 drinking water Substances 0.000 claims description 9
- 235000020188 drinking water Nutrition 0.000 claims description 9
- 230000002706 hydrostatic effect Effects 0.000 claims description 7
- 238000004458 analytical method Methods 0.000 claims description 6
- 244000060011 Cocos nucifera Species 0.000 claims description 5
- 235000013162 Cocos nucifera Nutrition 0.000 claims description 5
- 229920000742 Cotton Polymers 0.000 claims description 5
- 238000001914 filtration Methods 0.000 claims description 5
- 239000012510 hollow fiber Substances 0.000 claims description 5
- 239000012528 membrane Substances 0.000 claims description 5
- 238000000108 ultra-filtration Methods 0.000 claims description 5
- 229910052739 hydrogen Inorganic materials 0.000 claims description 4
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- 238000013523 data management Methods 0.000 claims description 2
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- 239000008400 supply water Substances 0.000 abstract 1
- 238000000034 method Methods 0.000 description 13
- 238000013461 design Methods 0.000 description 8
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- JEGUKCSWCFPDGT-UHFFFAOYSA-N h2o hydrate Chemical compound O.O JEGUKCSWCFPDGT-UHFFFAOYSA-N 0.000 description 2
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- E—FIXED CONSTRUCTIONS
- E03—WATER SUPPLY; SEWERAGE
- E03B—INSTALLATIONS OR METHODS FOR OBTAINING, COLLECTING, OR DISTRIBUTING WATER
- E03B11/00—Arrangements or adaptations of tanks for water supply
- E03B11/02—Arrangements or adaptations of tanks for water supply for domestic or like local water supply
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B01—PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
- B01D—SEPARATION
- B01D35/00—Filtering devices having features not specifically covered by groups B01D24/00 - B01D33/00, or for applications not specifically covered by groups B01D24/00 - B01D33/00; Auxiliary devices for filtration; Filter housing constructions
- B01D35/14—Safety devices specially adapted for filtration; Devices for indicating clogging
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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
-
- E—FIXED CONSTRUCTIONS
- E03—WATER SUPPLY; SEWERAGE
- E03B—INSTALLATIONS OR METHODS FOR OBTAINING, COLLECTING, OR DISTRIBUTING WATER
- E03B7/00—Water main or service pipe systems
- E03B7/04—Domestic or like local pipe systems
-
- E—FIXED CONSTRUCTIONS
- E03—WATER SUPPLY; SEWERAGE
- E03B—INSTALLATIONS OR METHODS FOR OBTAINING, COLLECTING, OR DISTRIBUTING WATER
- E03B7/00—Water main or service pipe systems
- E03B7/07—Arrangement of devices, e.g. filters, flow controls, measuring devices, siphons or valves, in the pipe systems
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- E—FIXED CONSTRUCTIONS
- E03—WATER SUPPLY; SEWERAGE
- E03B—INSTALLATIONS OR METHODS FOR OBTAINING, COLLECTING, OR DISTRIBUTING WATER
- E03B7/00—Water main or service pipe systems
- E03B7/07—Arrangement of devices, e.g. filters, flow controls, measuring devices, siphons or valves, in the pipe systems
- E03B7/074—Arrangement of water treatment devices
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/18—Water
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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
- C02F1/00—Treatment of water, waste water, or sewage
- C02F1/001—Processes for the treatment of water whereby the filtration technique is of importance
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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
- C02F1/00—Treatment of water, waste water, or sewage
- C02F1/28—Treatment of water, waste water, or sewage by sorption
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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
- C02F1/00—Treatment of water, waste water, or sewage
- C02F1/44—Treatment of water, waste water, or sewage by dialysis, osmosis or reverse osmosis
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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
- C02F2301/00—General aspects of water treatment
- C02F2301/08—Multistage treatments, e.g. repetition of the same process step under different conditions
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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
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Abstract
The invention discloses a kind of monitoring of networking water source and water supply by stage devices, belong to purifier technical field, it includes general frame, water inlet pipe is accessed in general frame, water inlet pipe is connected with water source monitoring device, and the first solenoid directional control valve is equipped on the end face of water source monitoring device, and the water outlet of the first solenoid directional control valve is connected with the first outlet pipe, at water source, the bottom of monitoring device is equipped with the second solenoid directional control valve, and cistern is arranged in the lower section of the water outlet of the second solenoid directional control valve.The invention also discloses the monitoring systems of the device.The present invention is suitably mounted to the exit of family's water inlet bus water meter, and the parameters for the water fugacity that can be supplied water to family are monitored in real time and purified, and the water quality situation needed for different occasions be classified or supply water simultaneously.
Description
Technical field
The invention belongs to purifier technical fields, and in particular to a kind of monitoring of networking water source and water supply by stage device and
It monitors system.
Background technology
Water is Source of life, he plays an important role to our life, he be the mankind depend on for existence and development can not
One of most important physical resources lacked.
With the development of modernization industry, pollution of waterhead has become mankind's focus of attention, and people drink oneself
The various water fugacity parameters at water source also become more concerned with.
For water supply department, they need to understand the water quality situation that each user is conveyed in real time, they need to each use
Family drinking water quality situation manages concentratedly and carries out big data analysis；For family, people become more concerned with oneself and are drunk
Source quality situation, while in different places, the water quality requirement needed for them is also different, such as the water of laundry clothes pair at home
The requirement of matter parameter is relatively low, relatively high to the water quality parameter requirement drunk.
Invention content
Goal of the invention：The purpose of the present invention is to provide a kind of monitoring of networking water source and water supply by stage devices, purify house
Front yard water water quality；It is a further object of the present invention to provide a kind of networking water source monitoring and water supply by stage device monitoring system,
The problems such as water quality requirement needed for different places carries out water supply by stage, while utilizing two-way outlet pipe water flow intelligent decoupling
The water flow of the first outlet pipe of control system pair and the second outlet pipe regulates and controls.
Technical solution：To achieve the above object, the present invention adopts the following technical scheme that：
A kind of monitoring of networking water source and water supply by stage device, including general frame, are accessed in the general frame
Water inlet pipe, water inlet pipe are connected with water source monitoring device, and the first solenoid directional control valve is equipped on the end face of water source monitoring device, the
The water outlet of one solenoid directional control valve is connected with the first outlet pipe, and at water source, the bottom of monitoring device is equipped with the second electromagnetic switch
Cistern is arranged in the lower section of the water outlet of the second solenoid directional control valve in valve；It is equipped with the in the water inlet end of first outlet pipe
Primary Ioops hydraulic pressure sensor is equipped with second servo loop hydraulic pressure sensor in the water inlet end of second outlet pipe.
First baffle and second baffle are arranged in a mutually vertical manner in the cistern, first baffle and second baffle pass through
Groove is staggeredly fixed, and shaft is arranged in the bearing that interlocks, shaft is through the junction of first baffle and second baffle；Institute
Stepper motor is equipped with below the cistern stated, stepper motor drives first baffle and second baffle by shaft.
In the top of the cistern inner wall, filter screen is set；The filter screen includes filter cartridge, in filter cartridge
Hollow fiber ultrafiltration membrane UF filter cores, the coconut activated filtration core of particle fine purifiation and PP cotton filter element are set from bottom to top.
The system is the drinking water source monitoring system based on ZigBee-network comprising end-probing node, data convergence
Processing node, web server and data monitoring processor, the end-probing node are made of monitoring device, monitoring device
Including monitoring water quality sensor, microcontroller and wireless communication module；The data convergence processing node and web server are by setting
Certain kind of berries group builds linux system and runs the program realization of Django frames and MySQL database；Each monitoring device is adopted
The data information for collecting water quality parameter carries out communications by ZigBee network consistings and web server；The data monitoring
Processor is made of Mobile portable equipment, and user monitored in real time by the browser of computer or mobile phone, is controlled and data processing
Analysis.
The embedded two path water flow quantity intelligent decoupling controller in the microcontroller, the microcontroller is by adjusting first
The aperture of solenoid directional control valve and the second solenoid directional control valve controls the water flow of the first outlet pipe and the second outlet pipe；Described two
Road water flow intelligent decoupling control device includes the first circuit fuzzy least squares SVM prediction controller, the first circuit
PID real-time controllers, the first circuit GM hydraulic pressure prediction model, the control of second servo loop fuzzy least squares SVM prediction
Device, second servo loop PID real-time controllers, second servo loop GM hydraulic pressure prediction model and RBF neural inverse decoupling controller；It is described
The first circuit fuzzy least squares SVM prediction controller and the first circuit PID real-time controller parallel connections as first
The water flow composite controller in circuit, second servo loop fuzzy least squares SVM prediction controller and second servo loop PID
Water flow composite controller of the real-time controller parallel connection as second servo loop, the water flow composite controller in the first circuit and second
Input of the output of the water flow composite controller in circuit respectively as RBF neural inverse decoupling controller；First Loop Water
Input of the output of pressure sensor as the first circuit GM hydraulic pressure prediction models, the output of the first circuit GM hydraulic pressure prediction models are made
The prediction of the first circuit water supply flow is constituted for the feedback quantity of the first circuit fuzzy least squares SVM prediction controller
Control；Input of the output of second servo loop hydraulic pressure sensor as second servo loop GM hydraulic pressure prediction models, second servo loop GM hydraulic pressure
The output of prediction model is constituted second time as the feedback quantity of second servo loop fuzzy least squares SVM prediction controller
The PREDICTIVE CONTROL of road water supply flow.
The RBF neural inverse decoupling controller is by integrating the first circuit, integral second servo loop and RBF neural
Composition, the RBF neural is by T, H, I, J, K and L two totally six input nodes, ten intermediate nodes and P, Q outputs
Node forms, input control quantity of two output nodes of P, Q respectively as the first solenoid directional control valve and the second solenoid directional control valve.
First circuit of integral and integral second servo loop is respectively by the 1st integrator and the 2nd integrator series connection structure
At the output of the water flow composite controller in the first circuit is input and the RBF nerves of the 1st integrator for integrating the first circuit
The I of network inputs, and the 1st integrator output in the first circuit of integral is respectively H inputs and the integral the of RBF neural
2nd integrator of primary Ioops inputs, and the 2nd integrator output in the first circuit of integral is defeated as the T of RBF neural
Enter；The output of the water flow composite controller of second servo loop is input and the RBF nerves for the 1st integrator for integrating second servo loop
The L of network is inputted, and the 1st integrator output for integrating second servo loop is respectively K inputs and the integral the of RBF neural
2nd integrator of secondary circuit inputs, and the 2nd integrator output for integrating second servo loop is defeated as the J of RBF neural
Enter.
The web server is the web system website developed based on Django and MySQL, while being based on to multiple
The monitoring device of ZigBee is managed, and monitors the status of equipment of each website simultaneously.
The processor of single chip computer of the microcontroller model STM32f103c8t6, wireless communication module chip model are
The ZigBee communication modules of CC2530F256；The monitoring water quality sensor includes DS18B20 temperature sensors, TDS water quality
Conductivity sensor, pH sensor and turbidity sensor.
The web server is PC machine, connects ZigBee data convergence processing nodes and receives data, provides web clothes
Business is to realize data query and analysis；Web server is run one and is received the monitoring device hair based on ZigBee using C++ programs
Temperature back, TDS values, turbidity, the data of pH value are simultaneously stored in database；The water quality items handled by web server refer to
Target information data access server obtain and real-time display on the mobile apparatus；Meanwhile web server acquisition terminal detection section
The data of each monitoring device in point parse data packet and deposit MySQL database that each data are classified successively, are restored again into
Be stored in data can be compared with the threshold value of setting when MySQL database, if be stored in data are excessive or too small, web clothes
Business device can notify administrative staff in time and alarm；Data monitoring processor realized with MySQL database by UDP communication modes,
UDP can carry out data exchange in different platform.
Advantageous effect：Compared with prior art, a kind of networking water source monitoring of the application and water supply by stage device, it is suitable
For the exit for bus water meter of intaking mounted on family, the parameters for the water fugacity that family supplies water can be monitored in real time simultaneously
Purification, the water quality situation needed for different occasions carry out water supply by stage.
A kind of networking water source of the application monitors and the monitoring system of water supply by stage device, has the advantage that：
1) a kind of fuzzy least squares supporting vector in Patent design two path water flow quantity intelligent decoupling controller of the present invention
Machine predictive controller, fuzzy least squares SVM prediction controller merge fuzzy control and least square method supporting vector machine
Technology, wherein fuzzy control (FC) are a kind of intelligent nonlinear control technologies of apery thinking, it does not depend on controlled device mould
Type, strong robustness, are widely used, but the control rule that traditional fuzzy control is relied on lacks automatic measure on line energy
Power is not suitable with the needs of controlled device variation, seriously affects control effect；The appearance of least square method supporting vector machine technology is certainly
The design for adapting to FC provides new method, it can realize optimization and the fuzzy reasoning of membership function, is supported to which design is fuzzy
Vector machine (FSVM) control system.The advantages of controller has merged both support vector machines and fuzzy technology, its existing support
Vector machine has many advantages, such as that least square method supporting vector machine small-sample learning, generalization ability be strong, global optimum, and has fuzzy skill
Not the characteristics of not depending on plant model and strong robustness of art；
2) the characteristics of being directed to the controlled big inertia for making water pipe circuit water flow, large delay, time-varying and more interference, two path water
A kind of fuzzy least squares SVM prediction controller and PID real-time controllers are designed in flow quantity intelligent decoupling controller simultaneously
Connection is used as compound master selector, make compound master selector carry out outlet pipe water flow control fast convergence rate, dynamic response it is good,
Strong robustness, overshoot is small, control accuracy is high and stability is good, meets the controlled control requirement for making the variation of water pipe water flow,
Realize the intelligent control of outlet pipe water flow variation.Experiments have shown that this controller has good control effect, Er Qieneng
Enough influences for preferably offsetting a variety of interference；
3) it is directed to by the characteristics of water flow influences each other and intercouples in 2 outlet pipes of control, two path water flow quantity intelligent
It devises in decoupling controller and is realized based on RBF neural inverse decoupling controller to influencing each other in two-way outlet pipe and mutually
The water flow of coupling carries out decoupling control, improves the control accuracy of water flow in each outlet pipe, improves response speed, control
Precision and the stability for improving system；
4) according to the controlled big inertia for making water pipe circuit water flow, large delay, time-varying and more interference the characteristics of, two path water
Designed in flow quantity intelligent decoupling controller 2 circuit GM (1,1) hydraulic pressure prediction models and 2 circuit fuzzy least squares support to
Amount machine predictive controller realizes that the PREDICTIVE CONTROL to water flow in 2 outlet pipes, control system have stronger robustness and resist
Interference, while this method is simply easy to Project Realization, has preferable actual application value；
5) the characteristics of being directed to the controlled big inertia for making water pipe circuit water flow, large delay, time-varying and more interference, two path water
PREDICTIVE CONTROL, real-time control and decoupling control are combined by flow quantity intelligent decoupling controller, when giving full play to complex controll and overcoming
Between terms of hysteresis good characteristic and anti-interference, the two-way outlet pipe water flow for devising complex controll and decoupling control is accurate
Control system, the system realize the combination of the complex controll and decoupling control method of PREDICTIVE CONTROL and real-time control, fill
Distribution has waved the vulnerability to jamming of different control methods by force and the good feature of robustness, theoretical research and practical application show system response
Fast and good vulnerability to jamming and robustness；
6) the two path water flow quantity intelligent decoupling controller in patent of the present invention by fuzzy support vector machine predictive controller and
The compound master selector of PID real-time controls, the compound master selector and RBF neural inverse decoupling controller, which are in series, constitutes decoupling
Control system, realization accurately control two-way outlet pipe water flow.It fully combines PREDICTIVE CONTROL, fuzzy control, solution
The advantages of coupling control, intelligent control；By to two-way outlet pipe water flow control test shows that, the control of the intelligent controller
For effect processed better than conventional PID control, it adapts to the variation of image parameter, have stronger robustness, anti-interference and from
Adaptability, Control platform is good, and this patent has preferable application and a promotional value, patent of the present invention have it is apparent it is substantive into
Step.
To sum up, the application can facilitate water supply department to manage simultaneously the drinking water quality situation of each subscriber unit concentratedly
Carry out big data analysis, can greatly convenient user oneself institute's drinking water quality situation is monitored in real time, in this system
Data monitoring processor realizes that UDP can carry out data exchange in different platform with MySQL database by UDP communication modes.
The information data of the water quality indices handled by web server can access server by 3G, 4G, WiFi etc. and obtain simultaneously
Real-time display on the mobile apparatus, the operation of user is required it is low, can be efficient, it is convenient, water quality indices are believed in real time
Breath feeds back to each user and water supply department.
Description of the drawings
Fig. 1 is a kind of monitoring of networking water source and water supply by stage device general frame figure；
Fig. 2 is a kind of monitoring of networking water source and water supply by stage device internal structure chart；
Fig. 3 is agitating device structure chart；
Fig. 4 is purifier partial enlarged view；
Fig. 5 is two-way outlet pipe water flow intelligent decoupling control system diagram；
Fig. 6 is the drinking water source monitoring system structure schematic diagram based on ZigBee-network；
Fig. 7 is data acquisition flow figure；
Fig. 8 is the web page function distribution map of the drinking water source monitoring system based on ZigBee-network.
Specific implementation mode
Below in conjunction with specific implementation mode, the present invention is described further.
As shown in figures 1-8, reference numeral is as follows：General frame 1, liquid crystal display 2, the first outlet pipe 3, the second outlet pipe
4, water inlet pipe 5, water source monitoring device 6, the first solenoid directional control valve 7, the second solenoid directional control valve 8, filter screen 9, stepper motor 10, water
Pump 11, monitoring water quality sensor 12, cistern 13, first baffle 14, second baffle 15, shaft 16, second servo loop hydraulic pressure sensing
Device 17, the first hydrostatic circuit sensor 18, microcontroller 19, end-probing node 20, data convergence processing node 21, web services
Device 22, data monitoring processor 23, wireless communication module 24, MySQL database 25 and Django frames 26.
A kind of monitoring of networking water source and water supply by stage device include general frame 1, water source monitoring device 6,9 and of filter screen
Agitating device；Agitating device includes water pump 11, cistern 13, first baffle 14, second baffle 15, shaft 16.
In the upper surface of general frame 1, liquid crystal display 2 is set；Water inlet pipe 5 is accessed to monitor with water source in general frame 1 and be filled
It sets 6 to be connected, the first circuit electromagnetic reversal valve 7, the first circuit electromagnetic reversal valve 7 is equipped on the end face of water source monitoring device 6
Water outlet be connected with the first outlet pipe 3, at water source, the bottom of monitoring device 6 is equipped with second servo loop solenoid directional control valve 8, the
Cistern 13 is arranged in the lower section of the water outlet of secondary circuit solenoid directional control valve 8.It intakes with outlet pipe 3 in the valve port of solenoid directional control valve 7
The junction at end is equipped with the first hydrostatic circuit sensor 18；It is equipped with the in the junction of 4 water inlet end of water pump 11 and the second outlet pipe
Secondary circuit hydraulic pressure sensor 17 monitors the siphon pressure of the second outlet pipe 4, the first circuit by second servo loop hydraulic pressure sensor 17
Hydraulic pressure sensor 18 monitors the siphon pressure of the first outlet pipe 3.
First baffle 14 and second baffle 15, first baffle 14 and second baffle 15 are arranged in a mutually vertical manner in cistern 13
It is staggeredly fixed by groove, shaft 16 is set in the bearing that interlocks, shaft 16 is through first baffle 14 and second baffle 15
Junction.Stepper motor 10 is equipped with below cistern 13, stepper motor 10 drives first baffle 14 and the by shaft 16
Two baffles 15, are arranged water pump 11 at 13 bottom face of cistern, and the water outlet of water pump 11 is adapted with the second outlet pipe 4.
In the top of 13 inner wall of cistern, filter screen 9 is set, filter screen 9 includes hollow fiber ultrafiltration membrane UF filter cores 901,
The coconut activated filtration core 902 of grain fine purifiation, PP cotton filter element 903 and filter cartridge 904；It is arranged from bottom to top in filter cartridge 904 hollow
Fiber ultrafiltration membrane UF filter cores 901, the coconut activated filtration core 902 of particle fine purifiation and PP cotton filter element 903.
As shown in figure 5, two path water flow quantity intelligent decoupling controller realizes the water to the first outlet pipe 3 and the second outlet pipe 4
Flow carries out accurate decomposition control, and the two path water flow quantity intelligent decoupling controller is by the first circuit fuzzy least squares supporting vector
Machine predictive controller, the first circuit PID real-time controllers, the first circuit GM hydraulic pressure prediction model, second servo loop fuzzy minimum two
Multiply SVM prediction controller, second servo loop PID real-time controllers, second servo loop GM hydraulic pressure prediction model and RBF nerves
Network inverse decoupling controller forms, and the first circuit fuzzy least squares SVM prediction controller and the first circuit PID are real
When water flow composite controller of the controller parallel connection as the first circuit, second servo loop fuzzy least squares SVM prediction
The water flow composite controller of controller and second servo loop PID real-time controllers parallel connection as second servo loop, the water in the first circuit
The output of the water flow composite controller of flow composite controller and second servo loop is controlled respectively as RBF neural reversed decoupling
2 inputs of device, P and the Q output of RBF neural inverse decoupling controller are respectively as the first solenoid directional control valve 7 and the second electricity
The input of magnetic reversal valve 8, the input of the first hydrostatic circuit sensor 18 exported as the first circuit GM hydraulic pressure prediction models, the
Feedback of the output of primary Ioops GM hydraulic pressure prediction models as the first circuit fuzzy least squares SVM prediction controller
Amount constitutes the PREDICTIVE CONTROL of the first circuit water supply flow；The output of second servo loop hydraulic pressure sensor 17 is as second servo loop GM hydraulic pressure
The input of prediction model, the output of second servo loop GM hydraulic pressure prediction models is as second servo loop fuzzy least squares support vector machines
The feedback quantity of predictive controller constitutes the PREDICTIVE CONTROL of second servo loop water supply flow.
RBF neural inverse decoupling controller is formed by integrating the first circuit, integral second servo loop and RBF neural,
It integrates the first circuit and integral second servo loop is in series by the 1st and the 2nd integrator respectively, the water flow in the first circuit is multiple
The output of hop controller is the input for the 1st integrator for integrating the first circuit and the I input of RBF neural, integral the
The 1st integrator output of primary Ioops is respectively the 2nd integrator in the first circuit of H inputs and integral of RBF neural
The 2nd integrator output of input, the first circuit of integral is inputted as the T of RBF neural；The water flow of second servo loop is multiple
The output of hop controller is the input for the 1st integrator for integrating second servo loop and the L inputs of RBF neural, integral the
The 1st integrator output of secondary circuit is respectively the 2nd integrator of the K inputs and integral second servo loop of RBF neural
Input, the 2nd integrator output for integrating second servo loop are inputted as the J of RBF neural.
RBF neural is by T, H, I, J, K and L two totally six input nodes, ten intermediate nodes and P, Q output nodes
Composition, two output nodes of P, Q are respectively as the input control quantity of the first solenoid directional control valve 7 and the second solenoid directional control valve 8, two-way
Water flow intelligent decoupling control device is realized carries out decoupling control to two-way water supply flow, it is ensured that two-way water supply flow can meet
User requires.
Design (the first circuit GM hydraulic pressure prediction models of the application of two path water flow quantity intelligent decoupling controller in the present invention
It is all made of GM (1,1) hydraulic pressure prediction model with second servo loop GM hydraulic pressure prediction models)：
(1), the design of GM (1,1) hydraulic pressure prediction model
GM (1,1) hydraulic pressure prediction model includes that the first circuit GM hydraulic pressure prediction model and second servo loop GM hydraulic pressure predict mould
Type, the more traditional statistical prediction methods of GM (1,1) gray prediction method have the advantages that more, it need not determine predictive variable
Whether Normal Distribution, do not need big sample statistic, need not be according to the variation of feed pipe hydrostatic circuit input variable
And change prediction model at any time, by feed pipe output loop hydraulic pressure Accumulating generation technology, establishing unified differential equation mould
Type show that prediction result, Differential Equation Model have higher prediction after cumulative feed pipe output loop hydraulic pressure original value reduction
Precision.The essence for establishing feed pipe GM (1,1) hydraulic pressure prediction model is to making one-accumulate for water delivery pipe hydraulic pressure initial data
It generates, makes generation ordered series of numbers that certain rule be presented, by establishing Differential Equation Model, acquire feed pipe output hydraulic pressure matched curve,
Prediction is carried out to the hydraulic pressure to the first outlet pipe 3 and the second outlet pipe 4 to achieve the purpose that predict the feed pipe water flow, due to
GM (1,1) grey forecasting model is more commonly used, and this patent just repeats no more.
(2) fuzzy least squares SVM prediction controller design
First circuit fuzzy least squares SVM prediction controller and second servo loop fuzzy least squares support to
The variable that outputs and inputs of amount machine predictive controller, fuzzy least squares SVM prediction controller is respectively that outlet pipe returns
Road hydraulic pressure specified rate, circuit GM (1,1) hydraulic pressure prediction model value and outlet pipe hydrostatic circuit controlled quentity controlled variable, they take fuzzy support
Fuzzy proportional relationship between fuzzy quantity E, EC, U and actual amount e, ec, u of vector machine decision process is by using ke、kec、ku
Fuzzy processing, and fuzzy region division is carried out to their space.Least square method supporting vector machine, which returns, can use 3 layers of network
Structure indicates that wherein input layer, hidden layer, output layer number of nodes are respectively 2,5,1, and input between hidden layer, hidden layer with it is defeated
Connection weight between going out is respectively 1, αk(k=1,2 ...).
I, input layer：Realize that input variable e, ec is blurred, in this, as the input x of control system.
II, hidden layer：Realize that two dimension input x carries out kernel operation with least square method supporting vector machine.
K(x,xi)=exp (- | x-xi|2/2σ2) (2)；
III, output layer：It realizes least square method supporting vector machine regressing calculation, obtains RBF neural inverse decoupling controller
Actually enter controlled quentity controlled variable u.
(3) design of RBF neural inverse decoupling controller
RBF neural inverse decoupling controller is formed by integrating the first circuit, integral second servo loop and RBF neural,
It integrates the first circuit and integral second servo loop is in series by the 1st and the 2nd integrator respectively, the water flow in the first circuit is compound
The output of controller is the input for the 1st integrator for integrating the first circuit and the I input of RBF neural, integral first
The 1st integrator output in circuit is respectively that the 2nd integrator in the first circuit of H inputs and integral of RBF neural is defeated
Enter, the 2nd integrator output in the first circuit of integral is inputted as the T of RBF neural；The water flow of second servo loop is compound
The output of controller is the input for the 1st integrator for integrating second servo loop and the L inputs of RBF neural, integral second
The K inputs of the 1st integrator output respectively RBF neural in circuit and the 2nd integrator of integral second servo loop are defeated
Enter, the 2nd integrator output for integrating second servo loop is inputted as the J of RBF neural；RBF neural by T, H, I,
J, make respectively by two totally six input nodes, ten intermediate nodes and P, Q output node compositions, two output nodes of P, Q by K and L
For the input control quantity of the first solenoid directional control valve 7 and the second solenoid directional control valve 8, the realization pair of two path water flow quantity intelligent decoupling controller
Two-way water supply flow carries out decoupling control, it is ensured that two-way water supply flow can meet user's requirement；RBF neural hidden layer section
Action function (basic function) in point will locally generate response to input signal, and the most commonly used is Gaussian functions for radial basis function
As shown in formula (4)：
RBF neural inverse decoupling controller realizes the electricity to the two outlet pipe water flows for influencing each other and intercoupling
The aperture of magnetic reversal valve carries out decoupling control, improves the control accuracy of each output loop water flow.
In order to allow user to understand water quality parameters in real time on Mobile portable equipment, introduces and be based on ZigBee-network
Drinking water source monitor system, the system be by microcontroller 19 acquire water quality sensor 12 data, pass through wireless communication module
The data to data convergence processing node 21 and web server 22 of 24 transmitting Zigbee signal transmissions monitoring water quality sensors 12,
Device handler is transferred to through data convergence processing node 21 and web server 22 be transferred to Mobile portable equipment again.
As shown in figs 6-8, the drinking water source based on ZigBee-network monitors system, including end-probing node 20, data
Convergence processing node 21, web server 22 and data monitoring processor 23, end-probing node 20 is by several monitoring device groups
At monitoring device all includes monitoring water quality sensor 12, microcontroller 19 and wireless communication module 24；Data convergence processing node 21
Linux system is built by Raspberry Pi with web server 22 and the program for running Django frames 26 and MySQL database 25 is real
It is existing；Data monitoring processor 23 is made of Mobile portable equipment, and user can be real-time by the browser of computer or mobile phone
Monitoring, control and Data Management Analysis.
Web server 22 is the web system website developed based on Django and MySQL, while being based on ZigBee to multiple
Monitoring device be managed, and monitor the status of equipment of each website simultaneously.
Microcontroller 19 is using the processor of single chip computer of model STM32f103c8t6, and wireless communication module 24 is using chip
The ZigBee communication modules of model CC2530F256；It includes DS18B20 temperature sensors, TDS water to monitor water quality sensor 12
Matter conductivity sensor, pH sensor and turbidity sensor；The data information of each monitoring device acquisition water quality parameter is logical
It crosses ZigBee network consistings and carries out communications with web server 22.
Web server 22 is a PC machine, and connection ZigBee data convergence processings node 21 simultaneously receives data, provides web
Service is to realize data query and analysis.Web server 22 is run one and is set using monitoring of the C++ programs reception based on ZigBee
The temperature that preparation is returned, TDS values, turbidity, the data of pH value are simultaneously stored in database.
The information data of the water quality indices handled by web server 22 accesses server by 3G, 4G, WiFi etc.
Obtain and real-time display on the mobile apparatus；Meanwhile in 22 acquisition terminal probe node 20 of web server each monitoring device number
According to parsing data packet and deposit MySQL database 25 that each data are classified successively can incite somebody to action when being restored again into MySQL database 25
Be stored in data are compared with the threshold value of setting, if be stored in data are excessive or too small, web server 22 notice can manage in time
Reason personnel simultaneously alarm；Data monitoring processor 23 realizes that UDP can be in difference with MySQL database 25 by UDP communication modes
Platform carries out data exchange.
Web system website, including user log in unit, analyze query unit, prewarning unit of setting up defences, device management unit and
System Management Unit；It includes inquiring subelement, options query subelement and Iconic queries subelement in detail to analyze query unit；If
Anti- prewarning unit includes watch-list subelement and monitoring diagram subelement；Device management unit include equipment state subelement and
Equipment equipment designs subelement；System Management Unit includes user management subelement, user setting subelement, hardware state list
Member and system log subelement, as shown in Figure 8.
The data of 25 essential record of MySQL database are as follows：
1) user's table records user name, password md5 encryption value, User Status, creation time, last login time, if
For administrator etc.；
2) equipment list, recording equipment address, equipment state, equipment on-line time, equipment on-line time, if opening temperature
Monitoring, monitoring temperature upper limit value, monitoring temperature lower limiting value；Whether TDS monitoring is opened, and TDS monitors upper limit value, and TDS monitors lower limit
Value；Whether turbidity monitoring, turbidity upper limit value, turbidity lower limiting value are opened；Whether open pH value to monitor, pH value upper limit value, under pH value
Limit value；
3) each monitoring device corresponds to a facility information table, recording equipment address, and capture time above calls time, when
Preceding temperature data, TDS data, turbidity data, pH value data etc..
Operation principle：A kind of monitoring of networking water source and water supply by stage device are connected on the water meter exit of domestic consumer, water
Water inlet pipe 5 of the source Jing Guo the present apparatus, the monitoring water quality sensor 12 in water source monitoring device start to monitor every ginseng of water fugacity
Number reaches user's setting value according to parameter value set by user for water fugacity parameters, and the first solenoid directional control valve 7 is opened,
Water source is directly over the first outlet pipe 3 outflow compatible with solenoid directional control valve valve port；If water fugacity various parameter values are not up to
User's setting value, the second solenoid directional control valve 8 are opened, and water source is flowed by second outlet pipe 4 compatible with the second solenoid directional control valve 8
Go out, by hollow fiber ultrafiltration membrane UF filter cores 901, the coconut activated filtration core 902 of particle fine purifiation and PP cotton filter element 903 reach water storage
Pond 13 passes through stepper motor in order to enable monitoring 12 energy measure water factor parameters of water quality sensor in cistern 13
First baffle 14, the second baffle 15 of 10 two interconnections of driving, stir the water in cistern 13, make it evenly；Simultaneously
In order to meet the needs of different user, the first solenoid directional control valve 7 and the second solenoid directional control valve 8 that are controlled by microcontroller 19 can be simultaneously
Action, the first outlet pipe 3, the second outlet pipe 4 are discharged, and two path water flow quantity intelligent decoupling controller control is introduced in microcontroller 19
The aperture for making the first solenoid directional control valve 7 and the second solenoid directional control valve 8, to water in 4 liang of the first outlet pipe 3, the second outlet pipe water pipes
Flow is adjusted, and improves the control accuracy of water flow in each outlet pipe, improves response speed, control accuracy and improves system
The stability of system.The water quality various parameter values that water quality sensor 12 detects are monitored simultaneously to pass back in real time by Zigbee network
The mobile device end of user or water supply department carries out water quality situation for user and water supply department the control of macroscopic view.
Claims (10)
1. a kind of networking water source monitoring and water supply by stage device, it is characterised in that：Including general frame (1), described whole
Access water inlet pipe (5), water inlet pipe (5) are connected with water source monitoring device (6) in body frame (1), the monitoring device (6) at water source
End face is equipped with the first solenoid directional control valve (7), and the water outlet of the first solenoid directional control valve (7) is connected with the first outlet pipe (3),
The bottom of water source monitoring device (6) is equipped with the second solenoid directional control valve (8), in the lower section of the water outlet of the second solenoid directional control valve (8)
Cistern (13) is set；It is equipped with the first hydrostatic circuit sensor (18) in the water inlet end of first outlet pipe (3), described
The second outlet pipe (4) water inlet end be equipped with second servo loop hydraulic pressure sensor (17).
2. a kind of networking water source monitoring according to claim 1 and water supply by stage device, it is characterised in that：Described
First baffle (14) and second baffle (15), first baffle (14) and second baffle (15) are arranged in a mutually vertical manner in cistern (13)
It is staggeredly fixed by groove, in bearing's setting shaft (16) of interlocking, shaft (16) is through first baffle (14) and second
The junction of baffle (15)；Stepper motor (10) is equipped with below the cistern (13), stepper motor (10) passes through shaft
(16) driving first baffle (14) and second baffle (15).
3. a kind of networking water source monitoring according to claim 1 and water supply by stage device, it is characterised in that：Described
The top setting filter screen (9) of cistern (13) inner wall；The filter screen (9) includes filter cartridge (904), in filter cartridge
(904) hollow fiber ultrafiltration membrane UF filter cores (901), the coconut activated filtration core of particle fine purifiation (902) and PP are set from bottom to top in
Cotton filter core (903).
4. the monitoring system of a kind of monitoring of networking water source and water supply by stage device described in any one of claim 1-3,
It is characterized in that：The system is the drinking water source monitoring system based on ZigBee-network comprising end-probing node (20), number
According to convergence processing node (21), web server (22) and data monitoring processor (23), the end-probing node (20) by
Monitoring device forms, and monitoring device includes monitoring water quality sensor (12), microcontroller (19) and wireless communication module (24)；It is described
Data convergence processing node (21) and web server (22) linux system is built by Raspberry Pi and runs Django frames
(26) it is realized with the program of MySQL database (25)；The data information of each monitoring device acquisition water quality parameter passes through
ZigBee network consistings carry out communications with web server (22)；The data monitoring processor (23) is by Mobile portable
Equipment forms, and user monitored in real time by the browser of computer or mobile phone, is controlled and Data Management Analysis.
5. the monitoring system of a kind of networking water source monitoring according to claim 4 and water supply by stage device, feature exists
In：Embedded two path water flow quantity intelligent decoupling controller, the microcontroller (19) pass through adjusting in the microcontroller (19)
The aperture of first solenoid directional control valve (7) and the second solenoid directional control valve (8) controls the first outlet pipe (3) and the second outlet pipe (4)
Water flow；The two path water flow quantity intelligent decoupling controller includes the first circuit fuzzy least squares SVM prediction
Controller, the first circuit PID real-time controllers, the first circuit GM hydraulic pressure prediction model, second servo loop fuzzy least squares are supported
Vector machine predictive controller, second servo loop PID real-time controllers, second servo loop GM hydraulic pressure prediction model and RBF neural are inverse
Decoupling controller；The first circuit fuzzy least squares SVM prediction controller and the first circuit PID are controlled in real time
Water flow composite controller of the device parallel connection processed as the first circuit, the control of second servo loop fuzzy least squares SVM prediction
The water flow composite controller of device and second servo loop PID real-time controllers parallel connection as second servo loop, the water flow in the first circuit
The output of the water flow composite controller of composite controller and second servo loop is respectively as RBF neural inverse decoupling controller
Input；Input of the output of first hydrostatic circuit sensor (18) as the first circuit GM hydraulic pressure prediction models, the first circuit GM
Feedback quantity composition the of the output of hydraulic pressure prediction model as the first circuit fuzzy least squares SVM prediction controller
The PREDICTIVE CONTROL of primary Ioops water supply flow；The output of second servo loop hydraulic pressure sensor (17) predicts mould as second servo loop GM hydraulic pressure
The input of type, the output of second servo loop GM hydraulic pressure prediction models is as second servo loop fuzzy least squares SVM prediction control
The feedback quantity of device processed constitutes the PREDICTIVE CONTROL of second servo loop water supply flow.
6. the monitoring system of a kind of networking water source monitoring according to claim 5 and water supply by stage device, feature exists
In：The RBF neural inverse decoupling controller is formed by integrating the first circuit, integral second servo loop and RBF neural,
The RBF neural is by T, H, I, J, K and L two totally six input nodes, ten intermediate nodes and P, Q output node groups
At input control quantity of two output nodes of P, Q respectively as the first solenoid directional control valve (7) and the second solenoid directional control valve (8).
7. a kind of networking water source monitoring according to claim 6 and water supply by stage device, it is characterised in that：The product
Divide the first circuit and integral second servo loop in series by the 1st integrator and the 2nd integrator respectively, the flow in the first circuit
The output of amount composite controller is the input for the 1st integrator for integrating the first circuit and the I input of RBF neural, product
It is respectively the 2nd product in the first circuit of H inputs and integral of RBF neural to divide the 1st integrator output in the first circuit
Device input, the 2nd integrator output in the first circuit of integral is divided to be inputted as the T of RBF neural；The flow of second servo loop
The output of amount composite controller is the input for the 1st integrator for integrating second servo loop and the L inputs of RBF neural, product
It is respectively the 2nd product of the K inputs and integral second servo loop of RBF neural to divide the 1st integrator output of second servo loop
Divide device input, the 2nd integrator output for integrating second servo loop is inputted as the J of RBF neural.
8. the monitoring system of a kind of networking water source monitoring according to claim 4 and water supply by stage device, feature exists
In：The web server (22) is the web system website developed based on Django and MySQL, while being based on to multiple
The monitoring device of ZigBee is managed, and monitors the status of equipment of each website simultaneously.
9. the monitoring system of a kind of networking water source monitoring according to claim 4 and water supply by stage device, feature exists
In：The processor of single chip computer of described microcontroller (19) the model STM32f103c8t6, wireless communication module (24) chip model
For the ZigBee communication modules of CC2530F256；The monitoring water quality sensor (12) includes DS18B20 temperature sensors,
TDS water electric conductivity sensors, pH sensor and turbidity sensor.
10. the monitoring system of a kind of networking water source monitoring according to claim 4 and water supply by stage device, feature exists
In：The web server (22) is PC machine, and connection ZigBee data convergence processing nodes (21) simultaneously receive data, provide web
Service is to realize data query and analysis；Web server (22) runs one and receives the monitoring based on ZigBee using C++ programs
The temperature that equipment is sent back, TDS values, turbidity, the data of pH value are simultaneously stored in database；It is handled by web server (22)
The information datas of water quality indices access server obtain and real-time display on the mobile apparatus；Meanwhile web server (22)
The data of each monitoring device in acquisition terminal probe node (20) parse data packet and each data are classified deposit successively
Be stored in data can be compared by MySQL database (25) when being restored again into MySQL database (25) with the threshold value of setting, if
Be stored in data are excessive or too small, and web server (22) can notify administrative staff in time and alarm；Data monitoring processor (23)
It is realized by UDP communication modes with MySQL database (25), UDP can carry out data exchange in different platform.
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| CN113780972A (en) * | 2021-08-04 | 2021-12-10 | 广州云硕科技发展有限公司 | Integrated management method and system for intelligent park |
| CN113780972B (en) * | 2021-08-04 | 2022-08-02 | 广州云硕科技发展有限公司 | Integrated management method and system for intelligent park |
| CN116123456A (en) * | 2023-02-24 | 2023-05-16 | 贝滨（广东）科技有限公司 | Urban water supply pipe network monitoring system based on Internet |
| CN116123456B (en) * | 2023-02-24 | 2023-09-26 | 贝滨（广东）科技有限公司 | Urban water supply pipe network monitoring system based on Internet |
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