CN116216943B - Biochemical ecological integration circulation flow-making platform equipment control system - Google Patents

Biochemical ecological integration circulation flow-making platform equipment control system Download PDF

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CN116216943B
CN116216943B CN202310111913.XA CN202310111913A CN116216943B CN 116216943 B CN116216943 B CN 116216943B CN 202310111913 A CN202310111913 A CN 202310111913A CN 116216943 B CN116216943 B CN 116216943B
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water
turbidity
flow
making
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CN116216943A (en
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操召军
陈娟
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Jiangsu Boling Environmental Technology Co ltd
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Jiangsu Boling Environmental Technology Co ltd
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    • CCHEMISTRY; METALLURGY
    • C02TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02FTREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02F3/00Biological treatment of water, waste water, or sewage
    • C02F3/32Biological treatment of water, waste water, or sewage characterised by the animals or plants used, e.g. algae
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/762Arrangements for image or video recognition or understanding using pattern recognition or machine learning using clustering, e.g. of similar faces in social networks
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02WCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO WASTEWATER TREATMENT OR WASTE MANAGEMENT
    • Y02W10/00Technologies for wastewater treatment
    • Y02W10/10Biological treatment of water, waste water, or sewage

Abstract

The application discloses a control system of biochemical and ecological fusion circulation flow-making platform equipment, which belongs to the technical field of position control of water vehicles, and aims at the problems of high construction cost, difficult site selection, high operation energy consumption, difficult intermittent operation, more residual sludge, poor deep purification and great management difficulty in the traditional sewage treatment method, and the application provides the following scheme: the device comprises a platform main body, a circulation flow-making subsystem, a de-layering flow-guiding subsystem, an annular diversity biological filter island and a central control subsystem, wherein the movement position of the platform is controlled by monitoring turbidity data in real time, the flow-making system is utilized to push a water body to orderly link, hydrolyze and anaerobically activate a sludge area, overflowed water flows through a floating island filler and an ecological floating island filter bed with plant root systems as biological membrane carriers, and the water-gas mixed flow sprayed by the circulation flow-making device is oxidized, then enters a sedimentation backflow area and a suspended sludge backflow hydrolysis anaerobic area, so that deep purification is completed.

Description

Biochemical ecological integration circulation flow-making platform equipment control system
Technical Field
The application belongs to the technical field of position control of a water carrier, and particularly relates to a control system of biochemical and ecological fusion circulation flow-making platform equipment.
Background
With the continuous development of society and economy in China, the outstanding problem faced by the water supply industry in China is the water quality problem, on one hand, the water source is generally polluted, and on the other hand, the water quality requirement standard is continuously improved. The urban tap water quality of China is obviously lower than that of developed countries abroad, on one hand, because water sources of China have different degrees of pollution, and on the other hand, most water plants of China still adopt a conventional drinking water treatment process: coagulation-precipitation-filtration-disinfection, this conventional treatment process mainly removes turbidity, chromaticity, suspended matter, colloidal impurities and bacteria in raw water. The colloid and fine suspended matters in the water are mutually polymerized by adding coagulant to form larger particle flocs, and then the large particle flocs are separated by precipitation. Filtering to further intercept residual impurities in the precipitated water and reduce the turbidity of the water. The traditional water purification process has the advantages of high capital cost, difficult site selection, high operation energy consumption, difficult intermittent operation, more residual sludge, poor deep purification and high management difficulty.
The Chinese patent with the patent number of CN217264905U discloses a solar power supply water purification control system, which comprises a photovoltaic cell, a solar electricity collection module, a control device, a storage battery, a current sampling device, a hydraulic pressurizing device and a water purification device, wherein the input end of the solar electricity collection module is electrically connected with the photovoltaic cell, and the output end of the solar electricity collection module is respectively electrically connected with the control device and the storage battery; the input end of the control device is respectively and electrically connected with the current sampling device, the solar energy electric collection module and the storage battery, the output end of the control device is respectively and electrically connected with the water pressure boosting equipment and the water purifying device, and the solar energy power supply water purifying control system disclosed by the control device is convenient and quick to install, good in mobility and low in energy cost; the solar energy power supply and water pressurization mode are adopted, so that the solar energy water heater can be used in rural remote electroless areas, and has strong area universality.
The chinese patent with the patent number of CN215946797U discloses a water purification equipment control system, which comprises a housing, be provided with first detection module, purification module, second detection module in the shell, purification module includes straight-through pipe, purifier, three way solenoid valve, four valves and wash pipe, purifier passes through three way solenoid valve and connects gradually, an interface connection of first detection module and four valves, the second interface and the first purifier of four valves are connected, and the third interface is connected with straight-through pipe head end, and the fourth interface is connected with wash pipe end, straight-through pipe end is connected with second detection module through straight-through solenoid valve, and the pipe shaft of straight-through pipe is provided with the stop solenoid valve on the pipe shaft of each branch pipe rear side, wash pipe head end is connected with second detection module through the backward flow solenoid valve. The use efficiency and the use effect of the water purifying equipment are effectively improved.
The problems proposed in the background art exist in the above patents: the application designs a control system of a biochemical and ecological integration circulation flow-making platform device, which aims to solve the problems of high capital cost, difficult site selection, difficult intermittent operation, more residual sludge, poor deep purification, high management difficulty and easy secondary pollution.
Disclosure of Invention
Aiming at the defects of the prior art, the application provides a control system of a biochemical and ecological fusion circulation flow-making platform device, which has comprehensive functions and applies bioengineering, ecological engineering, environmental engineering and artificial intelligence technologies. The technology, the process and the equipment of the industrial biochemical treatment plant are naturally watered, and are integrated with a natural water body and a healthy water ecological system, so that the pollutants in the sewage are subjected to long-acting, low-consumption and deep purification, and the collected data are transmitted to a background server by the sensor to be processed, so that effective information is provided for users. The system provides a turbidity acquisition strategy, uses an infrared spectrum technology to image water, transmits the water to a background server for processing, obtains real-time turbidity data, and controls the platform to move according to the real-time data by a user so as to realize advanced treatment and purification of a water area.
In order to achieve the above purpose, the present application provides the following technical solutions:
a biochemical and ecological fusion circulation flow making platform equipment control system, comprising:
the platform main body is used for loading the circulating flow-making subsystem, the de-layering flow-guiding subsystem and the annular diversity biological filter island and integrally floats on the water surface;
the circulating flow-making subsystem is used for making flows in the horizontal and vertical directions, pushing the water body to move, and increasing oxygen and aerating;
the de-layering diversion subsystem is used for conducting diversion and injection work on the water body movement pushed by the circulation diversion subsystem and extracting and diversion on the activated sludge;
the annular diversity biological filter island is used for biological purification of water and production of oxygen through photosynthesis of plants;
the central control subsystem is used for remotely controlling the circulation flow making subsystem and the de-layering flow guiding subsystem, simultaneously monitoring water quality related data and system maintenance, and controlling the moving position of the platform according to the turbidity monitored in real time.
Specifically, the platform main body includes:
the anchor base is used for supporting the platform to float on the water surface;
the platform is used for placing water plants, placing control equipment and walking by workers;
and the connecting rod is used for connecting the circulation flow making subsystem and the de-layering flow guiding subsystem.
Specifically, the cyclic flow making subsystem includes:
the impeller is used for crushing the sucked air into bubbles and pushing the bubbles into the water body;
an air suction pipe, a pipeline for sucking air, and a channel for inputting air from the outside of the circulation flow making subsystem to the inside of the circulation flow making subsystem;
the air suction pipe cap is used for covering the pipeline of the air suction pipe exposed to the water surface so as to prevent impurities from blocking the pipeline;
an air suction chamber for compressing air sucked by the air suction pipe;
the special motor is used for driving the impeller to rotate, so that the suction chamber generates a vacuum low-pressure area, compressed air and water are fully mixed under the action of the impeller, and finally axial driving force and radial stirring force are generated through rotation of the impeller, sucked air is crushed into bubbles, and the bubbles are pushed into the water in the horizontal or vertical direction.
Specifically, the de-layering diversion subsystem includes:
the submersible sewage pump is used for tearing and cutting off the garbage and discharging the torn and cut-off garbage and sewage;
the guide cylinder is used for buffering the fluid discharged by the submersible sewage pump, preventing scouring and resisting abrasion;
and the injection pipe is used for injecting the fluid discharged by the guide cylinder to the ecological floating island filter bed, and the ecological floating island purifies and filters the fluid.
Specifically, the annular diversity biological filter island comprises:
aquatic plants for photosynthesis to produce oxygen and for biological purification of water;
and the carbon fiber bio-base is used for fixing the aquatic plants.
Specifically, the central control subsystem includes:
the internal pipeline is used for connecting the central control subsystem with the circuits of the circulating current-making subsystem and the de-layering current-guiding subsystem;
the data acquisition unit is used for acquiring the oxygen content, the turbidity, the microorganism index, the oxygen consumption and the temperature of the water and transmitting the data of the oxygen content, the turbidity, the microorganism index, the oxygen consumption and the temperature to the main control liquid crystal screen for display;
the automatic detection unit is used for automatically detecting whether the circulation flow making subsystem and the de-layering flow guiding subsystem can work normally or not and transmitting detection results to the main control liquid crystal display screen for display;
the remote control unit is used for remotely controlling the circulation flow making subsystem and the de-layering flow guiding subsystem, remotely sending control instructions to the lower computer by adopting a digital communication technology through the upper computer, and then, the lower computer is interpreted into corresponding time sequence signals according to the commands to control the circulation flow making subsystem and the de-layering flow guiding subsystem;
and the main control liquid crystal screen is used for displaying the numerical values and instructions transmitted by the data acquisition unit, the automatic detection unit and the remote control unit.
Specifically, the step of realizing deep purification of the water body by the biochemical and ecological fusion circulation flow-making platform comprises the following steps:
step 101: the basic framework of the biochemical and ecological integration circulation flow-making platform is established, and a water purification system is constructed by taking the platform main body, the circulation flow-making subsystem, the de-layering flow-guiding subsystem, the annular diversity biological filter island and the central control subsystem as cores, so that the water purification system has the basic use performance of normal operation;
step 102: the circulation flow making subsystem sucks external air into an internal air suction chamber, continuously compresses the air, the air suction chamber generates a vacuum low-pressure area, the air in the vacuum low-pressure area fully mixes the compressed air with a water body under the action of the impeller, and finally generates axial driving force and radial stirring force through the rotation of the impeller, and the sucked air is crushed into bubbles and is pushed into the water body in the horizontal or vertical direction;
step 103: the de-layering diversion subsystem tears and cuts off garbage, the cut garbage and sewage are discharged to the diversion barrel to be buffered, the buffered liquid is sprayed to the ecological floating island through the spraying pipe, in the spraying process, the water overflows through the hydrolysis and anaerobic activated sludge area, and then the water overflows through the floating island filler and the plant root system to serve as an ecological floating island filter bed of the biological film carrier;
step 104: the annular diversity biological filter island generates oxygen through photosynthesis of aquatic plants, provides oxygen for the water body, saves oxygen supply of flow making equipment, reduces energy consumption, can be used as an ecological floating island filter bed to filter and purify liquid sprayed by the de-layering flow guiding subsystem, carries out biochemical-ecological contact oxidation on the liquid sprayed by the de-layering flow guiding subsystem and the water-gas mixed flow sprayed by the circulating flow making subsystem, and then enters a precipitation backflow area and a suspended sludge backflow hydrolysis anaerobic area;
step 105: and repeating the steps 101-104, and controlling the platform to move to the position with the maximum turbidity by monitoring the real-time turbidity data of the water body, so that the water purification system realizes deep water purification operation under the circulating flow of the circulating flow making subsystem.
Specifically, the central control subsystem comprises a data acquisition unit, wherein the data acquisition unit comprises a turbidity acquisition strategy, and the step of the turbidity acquisition strategy comprises the following steps:
step 201: uniformly dividing a monitoring water body into 300 blocks, and collecting 300 parts of spectrum samples of each block of water body by using an unmanned aerial vehicle carrying a spectrometer;
step 202: the iPLS algorithm, the Cos-Kmeans algorithm and the SPA algorithm are fused, an iPLS-Cos-kmmeans+SPA algorithm model is established, an optimal band is selected for a spectrum sample by utilizing the iPLS method, equal-width intervals are divided for wavelengths in the spectrum sample, PLS regression processing is conducted one by one, then the interactive verification root mean square error of each divided interval model in a full spectrum model is calculated, if the interactive verification root mean square error of the divided interval model is higher than the interactive verification root mean square error of the full spectrum, modeling accuracy is eliminated due to influence, the removed band interval is used as an optimal band interval, the number of the optimal intervals is a, each spectrum sample is selected for 5 specific wavelength regions to be used as actual sampling points, the reflectivity average value of the 5 specific wavelength regions is used as reflectivity data of each spectrum sample, the reflectivity is obtained through a spectrogram, then a Cos-Kmeans method is utilized to input a 300 x a spectral reflectivity matrix, 300 is the number of spectral samples, a is the number of optimal intervals, k wave bands are selected from a wave band column vectors as initial clustering centers, cosine similarity is used as a measurement index to calculate the similarity between the rest wave bands and the clustering centers, the rest wave bands refer to wave bands except the clustering centers in the wave Duan Lie vector, the rest wave bands are distributed to different clustering centers according to the similarity, the average value of the wave band vectors in each cluster is calculated according to the distributed clustering clusters to serve as the clustering center of a new round, the calculation is repeated until the clustering centers are converged, wave band combinations under k clustering clusters are output, finally the output wave band combinations are screened by a continuous projection algorithm SPA, any column vector of the spectral reflectivity matrix is used as a starting point, the successive circulation is performed, calculating projection vectors of the algorithm on column vector combinations of other unselected wave bands, adding the other unselected wave bands corresponding to the maximum projection vectors into the selected wave band combination, finishing algorithm circulation for M times, wherein M is the number of the wave bands to be extracted;
the cosine similarity calculation formula is:
wherein k represents the position of the selected wave band in the clustering center, n represents the number of the wave bands in the clustering center, and x i Representing the ith column vector, x, in the remaining bands j Represents the j-th column vector, x in the cluster center band ik Represents the kth attribute, x, of the ith column vector in the remaining bands jk A kth attribute representing a jth column vector in a cluster center band;
randomly dividing a spectrum sample into a correction set and a prediction set, dividing the sample number of the correction set and the prediction set into 225 parts and 75 parts according to a ratio of 3:1, and then putting the correction set and the prediction set into an iPLS_Cos-kmeans+SPA algorithm model for trainingAnd predicting to obtain a predicted value of turbidity of the prediction setModel accuracy and stability depend on prediction set determinable coefficient R 2 And the root mean square error RMSEP of the prediction set is evaluated, and the prediction set can determine the coefficient R 2 The calculation formula is as follows:
wherein R is k 2 Representing prediction set determinable coefficients, y k,i Indicating a predicted set of measured values of turbidity, the measured values of turbidity being measured by nephelometry,representing the predicted value of the turbidity of the prediction set, wherein the predicted value of the turbidity is the turbidity corresponding to the wavelength when the determinable coefficient is maximum,>the turbidity average value of the prediction set is represented, and the turbidity average value is the turbidity average value corresponding to the wavelength when the determinable coefficient of the prediction set is maximum;
the root mean square error RMSEP of the prediction set has the following calculation formula:
wherein RMSEP represents root mean square error of the prediction set, and N represents the number of samples in the prediction set;
the iPLS_Cos-kmeans+SPA algorithm model realizes the band extraction with the maximum determinacy coefficient and the minimum root mean square error of the spectrogram image, thereby realizing the prediction of the turbidity of water.
Step 203: the model is applied to the central control subsystem, an unmanned plane is used for carrying a spectrometer to image a water body in real time, the water body is transmitted to a rear server for processing, the turbidity of the water body is monitored in real time, turbidity data are transmitted to a main control liquid crystal screen and user mobile equipment, a control platform is controlled to move to a position with the maximum turbidity, and the water body at the position is purified.
Compared with the prior art, the application has the beneficial effects that:
1. the application optimizes and improves the structure, operation steps and flow of the existing water purifying system, has the use advantages of simple process flow required by the whole system, low investment and operation cost and low production and working cost, and improves the water purifying effect on the basis of the original water purifying system.
2. According to the application, an optimization and improvement are provided for real-time turbidity acquisition, an unmanned aerial vehicle is utilized to carry a spectrometer to image a water body in real time, and the band extraction with the largest determinable coefficient and the smallest root mean square error of a spectrum image is provided by an iPLS_cos-kmeans+SPA algorithm, so that the acquisition of real-time turbidity is realized.
3. According to the application, the equipment control is optimized and improved, a turbidity collection strategy is provided, the control platform is moved to the position with the maximum turbidity, and the water body at the position with the maximum turbidity is purified, so that the practicability of the system is improved, and the investment cost in the earlier stage and the use process is reduced.
Drawings
FIG. 1 is a schematic diagram of a complete flow of a water purification system according to the present application;
FIG. 2 is a schematic diagram of the overall structure of the central control system of the present application;
FIG. 3 is a schematic diagram of a biochemical ecological fusion circulation flow-making platform;
in the figure: 1. a de-layering flow guiding subsystem; 2. a circular diversity biological filter island; 3. a platform body; 4. a central control subsystem; 5. and a cyclic flow making subsystem.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments.
Referring to fig. 1-3, an embodiment of the present application is provided: a biochemical and ecological fusion circulation flow-making platform equipment control system comprises a platform main body 3, a load circulation flow-making subsystem 5, a de-layering flow-guiding subsystem 1 and an annular diversity biological filter island 2, wherein the whole body floats on the water surface;
the circulation flow making subsystem 5 is used for making flows in the horizontal and vertical directions, pushing the water body to move, and increasing oxygen and aerating;
the de-layering diversion subsystem 1 is used for diversion and injection work of the circulation diversion subsystem 5 pushing the water body to move and for extraction diversion of the activated sludge;
the annular diversity biological filter island 2 is used for biological purification of water and production of oxygen through photosynthesis of plants;
the central control subsystem 4 is used for remotely controlling the circulation flow making subsystem 5 and the de-layering flow guiding subsystem 1, simultaneously monitoring water quality related data and system maintenance, and controlling the moving position of the platform according to the turbidity monitored in real time.
The platform body 3 includes:
the anchor base is used for supporting the platform to float on the water surface;
the platform is used for placing water plants, placing control equipment and walking by workers;
the connecting rod is used for connecting the circulation flow making subsystem 5 and the de-layering flow guiding subsystem 1.
The cyclic flow making subsystem 5 comprises:
the impeller is used for crushing the sucked air into bubbles and pushing the bubbles into the water body;
an air suction pipe, a pipeline for sucking air, and a channel for inputting air from the outside of the circulation flow making subsystem 5 to the inside of the circulation flow making subsystem 5;
the air suction pipe cap is used for covering the pipeline of the air suction pipe exposed on the water surface so as to prevent impurities from blocking the pipeline;
an air suction chamber for compressing air sucked by the air suction pipe;
the special motor is used for driving the impeller to rotate, so that the suction chamber generates a vacuum low-pressure area, compressed air and water are fully mixed under the action of the impeller, and finally axial driving force and radial stirring force are generated through the rotation of the impeller, so that sucked air is crushed into bubbles and pushed into the water in the horizontal or vertical direction.
The de-layering diversion subsystem 1 comprises:
the submersible sewage pump is used for tearing and cutting off the garbage and discharging the torn and cut-off garbage and sewage;
the guide cylinder is used for buffering fluid discharged by the submersible sewage pump, preventing scouring and resisting abrasion;
and the injection pipe is used for injecting the fluid discharged by the guide cylinder to the ecological floating island filter bed, and the ecological floating island purifies and filters the fluid.
The annular diversity biological filter island 2 comprises:
aquatic plants for photosynthesis to produce oxygen and for biological purification of water;
the carbon fiber bio-base is used for fixing aquatic plants.
The central control subsystem 4 comprises:
the internal pipeline is used for connecting the central control subsystem 4 with the circuits of the circulating current-making subsystem 5 and the de-layering diversion subsystem 1;
the data acquisition unit is used for acquiring oxygen content, turbidity, microorganism index, oxygen consumption and temperature of water and transmitting the oxygen content, turbidity, microorganism index, oxygen consumption and temperature data to the main control liquid crystal display screen for display;
the automatic detection unit is used for automatically detecting whether the circulation flow-making subsystem 5 and the de-layering flow-guiding subsystem 1 can work normally or not and transmitting detection results to the main control liquid crystal screen for display;
the remote control unit is used for remotely controlling the circulation flow making subsystem 5 and the de-layering flow guiding subsystem 1, remotely sending control instructions to the lower computer by adopting a digital communication technology through the upper computer, and then, the lower computer is interpreted into corresponding time sequence signals according to the commands to control the circulation flow making subsystem 5 and the de-layering flow guiding subsystem 1;
the main control liquid crystal screen is used for displaying the numerical values and instructions transmitted by the data acquisition unit, the automatic detection unit and the remote control unit.
The use principle of the embodiment is as follows: the water body is pushed to orderly link, the hydrolysis and anaerobic activated sludge area, overflowed water flows through the floating island filter bed with floating island filler and plant root system as biological membrane carriers, the mixed water and gas flow sprayed by the circulation flow making subsystem is subject to biochemical-ecological contact oxidation, and then enters the low-speed sedimentation backflow area and the suspended sludge backflow hydrolysis anaerobic area, so that the advanced treatment and deep purification of the water body are completed.
Referring to fig. 1-3, an embodiment of the present application is provided: a biochemical and ecological fusion circulation flow-making platform equipment control system comprises the steps of realizing deep water purification by the biochemical and ecological fusion circulation flow-making platform, and comprises the following steps:
step 101: the method comprises the steps of establishing a basic framework of a biochemical and ecological integration circulation flow-making platform, and constructing a water purification system by taking a platform main body 3, a circulation flow-making subsystem 5, a de-layering flow-guiding subsystem 1, an annular diversity biological filter island 2 and a central control subsystem 4 as cores, so that the water purification system has basic use performance of normal operation;
step 102: the circulation flow making subsystem 5 sucks external air into the internal suction chamber, continuously compresses the air, the suction chamber generates a vacuum low-pressure area, the air in the vacuum low-pressure area fully mixes the compressed air with the water body under the action of the impeller, and finally generates axial pushing force and radial stirring force through the rotation of the impeller, and the sucked air is crushed into bubbles and pushed into the water body in the horizontal or vertical direction;
step 103: the de-layering diversion subsystem 1 tears and cuts off garbage, the cut garbage and sewage are discharged to a diversion drum for buffering, the buffered liquid is sprayed to an ecological floating island through a spray pipe, in the spraying process, firstly, the water overflows through a hydrolysis and anaerobic activated sludge area, and then, the overflowed water flows through a floating island filler and a plant root system to serve as an ecological floating island filter bed of a biological membrane carrier;
step 104: the annular diversity biological filter island 2 generates oxygen through photosynthesis of aquatic plants, provides oxygen for water, saves oxygen supply of flow-making equipment, reduces energy consumption, can be used as liquid sprayed by the ecological floating island filter bed filtering and purifying layer-separating flow guiding subsystem 1, carries out biochemical-ecological contact oxidation with water-gas mixed flow sprayed by the circulating flow-making subsystem 5, and then enters a precipitation backflow area and a suspended sludge backflow hydrolysis anaerobic area;
step 105: and (3) repeating the steps 101-104, and controlling the platform to move to the position with the maximum turbidity by monitoring the real-time turbidity data of the water body, so that the water purification system realizes deep water purification operation under the circulating flow of the circulating flow making subsystem 5.
The use principle of the embodiment is as follows: the biological engineering, the biochemical engineering and the environmental engineering technology are integrated, and the new generation of modularization of the integrated application is used for treating the eutrophication of rivers and lakes and the long-acting deep purification of tail water, so that the biological carrier, the plant root system and the biochemical strain of the circulation and leveling platform are integrated into a whole, and the effect of circulating A2O and the effect of deep water purification are achieved.
Referring to fig. 1-3, an embodiment of the present application is provided: the utility model provides a biochemical ecology fuses circulation and makes platform equipment control system, it includes central control subsystem 4, and central control subsystem 4 includes data acquisition unit, and data acquisition unit includes turbidity collection strategy, and turbidity collection strategy includes following steps:
step 201: uniformly dividing a monitoring water body into 300 blocks, and collecting 300 parts of spectrum samples of each block of water body by using an unmanned aerial vehicle carrying a spectrometer;
step 202: the iPLS algorithm, the Cos-Kmeans algorithm and the SPA algorithm are fused, an iPLS-Cos-kmmeans+SPA algorithm model is established, an optimal band is selected for a spectrum sample by utilizing the iPLS method, equal-width intervals are divided for wavelengths in the spectrum sample, PLS regression processing is conducted one by one, then the interactive verification root mean square error of each divided interval model in a full spectrum model is calculated, if the interactive verification root mean square error of the divided interval model is higher than the interactive verification root mean square error of the full spectrum, modeling accuracy is eliminated due to influence, the removed band interval is used as an optimal band interval, the number of the optimal intervals is a, each spectrum sample is selected for 5 specific wavelength regions to be used as actual sampling points, the reflectivity average value of the 5 specific wavelength regions is used as reflectivity data of each spectrum sample, the reflectivity is obtained through a spectrogram, then a Cos-Kmeans method is utilized to input a 300 x a spectral reflectivity matrix, 300 is the number of spectral samples, a is the number of optimal intervals, k wave bands are selected from a wave band column vectors as initial clustering centers, cosine similarity is used as a measurement index to calculate the similarity between the rest wave bands and the clustering centers, the rest wave bands refer to wave bands except the clustering centers in the wave Duan Lie vector, the rest wave bands are distributed to different clustering centers according to the similarity, the average value of the wave band vectors in each cluster is calculated according to the distributed clustering clusters to serve as a new round of clustering center, the calculation is repeated until the clustering centers converge, wave band combinations under k clustering clusters are output, finally, the output wave band combinations are screened by a continuous projection algorithm SPA, any column vector of the spectral reflectivity matrix is used as a starting point, the successive circulation is performed, calculating projection vectors of the algorithm on column vector combinations of other unselected wave bands, adding other unselected wave bands corresponding to the maximum projection vectors into the selected wave band combination, and finishing the algorithm cycle for M times, wherein M is the number of the wave bands to be extracted;
the cosine similarity calculation formula is:
wherein k represents the position of the selected wave band in the clustering center, n represents the number of the wave bands in the clustering center, and x i Represents the ith column vector, x in the remaining bands j Represents the j-th column vector, x in the cluster center band ik Represents the kth attribute, x, of the ith column vector in the remaining bands jk A kth attribute representing a jth column vector in a cluster center band;
randomly dividing a spectrum sample into a correction set and a prediction set, dividing the sample number of the correction set and the prediction set into 225 parts and 75 parts according to a ratio of 3:1, and then putting the correction set and the prediction set into an iPLS_Cos-kmeans+SPA algorithm model for training and predicting to obtain a turbidity prediction value of the prediction setModel accuracy and stability depend on prediction set determinable coefficient R 2 And the root mean square error RMSEP of the prediction set is evaluated, and the prediction set can determine the coefficient R 2 The calculation formula is as follows:
wherein R is k 2 Representing prediction set determinable coefficients, y k,i Indicating a predicted set of measured values of turbidity, the measured values of turbidity being measured by nephelometry,representing the predicted value of the turbidity of the prediction set, wherein the predicted value of the turbidity is the turbidity corresponding to the wavelength when the determinable coefficient is maximum,>the turbidity average value of the prediction set is represented, and the turbidity average value is the turbidity average value corresponding to the wavelength when the determinable coefficient of the prediction set is maximum;
the root mean square error RMSEP of the prediction set has the following calculation formula:
wherein RMSEP represents root mean square error of the prediction set, and N represents the number of samples in the prediction set;
the iPLS_Cos-kmeans+SPA algorithm model realizes the band extraction with the maximum determinacy coefficient and the minimum root mean square error of the spectrogram image, thereby realizing the prediction of the turbidity of water.
Step 203: the model is applied to a central control subsystem 4, an unmanned plane is used for carrying a spectrometer to image a water body in real time, the water body is transmitted to a rear server for processing, the turbidity of the water body is monitored in real time, turbidity data are transmitted to a main control liquid crystal screen and user mobile equipment, a control platform is controlled to move to a position with the maximum turbidity, and the water body at the position is purified.
The use principle of the embodiment is as follows: by means of artificial intelligence technology, an iPLS algorithm, a Cos-Kmeans algorithm and an SPA algorithm are fused, an iPLS_cos-kmeans+SPA algorithm model is established, an unmanned aerial vehicle is utilized to carry a spectrometer to image a water body in real time, the water body is transmitted to the algorithm model for analysis, real-time monitoring of the turbidity of the water body is achieved, real-time data are fed back, and the platform is controlled to move to a position with the maximum turbidity according to the real-time monitored turbidity data.
It will be appreciated by persons skilled in the art that the foregoing description is a preferred embodiment of the application, and is not intended to limit the application, but rather to limit the application to the specific embodiments described, and that modifications may be made to the technical solutions described in the foregoing embodiments, or equivalents may be substituted for elements thereof, for the purposes of those skilled in the art. Modifications, equivalents, and alternatives falling within the spirit and principles of the application are intended to be included within the scope of the application.

Claims (1)

1. The utility model provides a biochemical ecological integration circulation makes platform equipment control system, its characterized in that includes:
the platform main body (3) is used for a load circulation flow-making subsystem (5), a layer-separating flow-guiding subsystem (1) and an annular diversity biological filter island (2) and integrally floats on the water surface;
the circulation flow-making subsystem (5) is used for making flows in the horizontal and vertical directions, pushing the water body to move, and increasing oxygen and aerating;
the de-layering diversion subsystem (1) is used for diversion and injection work of the circulation diversion subsystem (5) pushing the water body to move and extraction diversion of the activated sludge;
the annular diversity biological filter island (2) is used for biological purification of water and production of oxygen through photosynthesis of plants;
the central control subsystem (4) is used for remotely controlling the circulation flow making subsystem (5) and the de-layering flow guiding subsystem (1), monitoring water quality related data and system maintenance at the same time, and controlling the moving position of the platform according to the turbidity monitored in real time;
the platform body (3) comprises:
the anchor base is used for supporting the platform to float on the water surface;
the platform is used for placing water plants, placing control equipment and walking by workers;
the connecting rod is used for connecting the circulating flow making subsystem (5) and the de-layering flow guiding subsystem (1);
the cyclic flow making subsystem (5) comprises:
the impeller is used for crushing the sucked air into bubbles and pushing the bubbles into the water body;
an air suction pipe, a pipeline used for sucking air, and a channel for inputting air from the outside of the circulation flow making subsystem (5) to the inside of the circulation flow making subsystem (5);
the air suction pipe cap is used for covering the pipeline of the air suction pipe exposed to the water surface so as to prevent impurities from blocking the pipeline;
an air suction chamber for compressing air sucked by the air suction pipe;
the special motor is used for driving the impeller to rotate, so that the suction chamber generates a vacuum low-pressure area, compressed air and water are fully mixed under the action of the impeller, and finally axial driving force and radial stirring force are generated through the rotation of the impeller, the sucked air is crushed into bubbles and pushed into the water in the horizontal or vertical direction;
the de-layering and flow guiding subsystem (1) comprises:
the submersible sewage pump is used for tearing and cutting off the garbage and discharging the torn and cut-off garbage and sewage;
the guide cylinder is used for buffering the fluid discharged by the submersible sewage pump, preventing scouring and resisting abrasion;
the injection pipe is used for injecting the fluid discharged by the guide cylinder to the ecological floating island filter bed, and the ecological floating island purifies and filters the fluid;
the annular diversity biological filter island (2) comprises:
aquatic plants for photosynthesis to produce oxygen and for biological purification of water;
a carbon fiber bio-based for immobilizing the aquatic plant;
the central control subsystem (4) comprises:
the internal pipeline is used for connecting the central control subsystem (4) with the circulating flow making subsystem (5) and the de-layering flow guiding subsystem (1) through lines;
the data acquisition unit is used for acquiring the oxygen content, the turbidity, the microorganism index, the oxygen consumption and the temperature of the water and transmitting the data of the oxygen content, the turbidity, the microorganism index, the oxygen consumption and the temperature to the main control liquid crystal screen for display;
the automatic detection unit is used for automatically detecting whether the circulation current-making subsystem (5) and the de-layering flow-guiding subsystem (1) can work normally or not and transmitting detection results to the main control liquid crystal display screen for display;
the remote control unit is used for remotely controlling the circulating current-making subsystem (5) and the de-layering diversion subsystem (1), remotely sending control instructions to the lower computer by adopting a digital communication technology through the upper computer, and then the lower computer is interpreted into corresponding time sequence signals according to the commands to control the circulating current-making subsystem (5) and the de-layering diversion subsystem (1);
the main control liquid crystal screen is used for displaying the numerical values and the instructions transmitted by the data acquisition unit, the automatic detection unit and the remote control unit;
the biochemical ecological fusion circulation flow making platform comprises the following steps of:
step 101: the basic framework of the biochemical and ecological integration circulation flow-making platform is established, and a water purification system is established by taking the platform main body (3), the circulation flow-making subsystem (5), the de-layering flow-guiding subsystem (1), the annular diversity biological filter island (2) and the central control subsystem (4) as cores, so that the water purification system has the basic use performance of normal operation;
step 102: the circulation flow making subsystem (5) sucks external air into an internal air suction chamber, continuously compresses the air, the air suction chamber generates a vacuum low-pressure area, the air in the vacuum low-pressure area fully mixes the compressed air with a water body under the action of the impeller, and finally generates axial driving force and radial stirring force through the rotation of the impeller, and the sucked air is crushed into bubbles and pushed into the water body in the horizontal or vertical direction;
step 103: the de-layering diversion subsystem (1) tears and cuts off garbage, the cut garbage and sewage are discharged to the diversion barrel to be buffered, the buffered liquid is sprayed to the ecological floating island through the spraying pipe, in the spraying process, firstly, the water overflows through a hydrolysis and anaerobic activated sludge area, and then the water overflows through a floating island filler and a plant root system to serve as an ecological floating island filter bed of a biological membrane carrier;
step 104: the annular diversity biological filter island (2) generates oxygen through photosynthesis of aquatic plants, provides oxygen for the water body, saves oxygen supply of flow making equipment, reduces energy consumption, can serve as an ecological floating island filter bed to filter and purify liquid sprayed by the de-layering diversion subsystem (1), performs biochemical-ecological contact oxidation with a water-gas mixed flow sprayed by the circulating flow making subsystem (5), and then enters a precipitation backflow area and a suspended sludge backflow hydrolysis anaerobic area;
step 105: repeating the steps 101-104, and controlling the platform to move to the position with the maximum turbidity by monitoring real-time turbidity data of the water body so that the water purifying system realizes deep water purifying operation under the circulating flow of the circulating flow making subsystem (5);
the central control subsystem (4) comprises a data acquisition unit, wherein the data acquisition unit comprises a turbidity acquisition strategy, and the turbidity acquisition strategy comprises the following steps:
step 201: uniformly dividing a monitoring water body into 300 blocks, and collecting 300 parts of spectrum samples of each block of water body by using an unmanned aerial vehicle carrying a spectrometer;
step 202: the iPLS algorithm, the Cos-Kmeans algorithm and the SPA algorithm are fused, an iPLS-Cos-kmmeans+SPA algorithm model is established, an optimal band is selected for a spectrum sample by utilizing the iPLS method, equal-width intervals are divided for wavelengths in the spectrum sample, PLS regression processing is conducted one by one, then the interactive verification root mean square error of each divided interval model in a full spectrum model is calculated, if the interactive verification root mean square error of the divided interval model is higher than the interactive verification root mean square error of the full spectrum, modeling accuracy is eliminated due to influence, the removed band interval is used as an optimal band interval, the number of the optimal intervals is a, each spectrum sample is selected for 5 specific wavelength regions to be used as actual sampling points, the reflectivity average value of the 5 specific wavelength regions is used as reflectivity data of each spectrum sample, the reflectivity is obtained through a spectrogram, then a Cos-Kmeans method is utilized to input a 300 x a spectral reflectivity matrix, 300 is the number of spectral samples, a is the number of optimal intervals, k wave bands are selected from a wave band column vectors as initial clustering centers, cosine similarity is used as a measurement index to calculate the similarity between the rest wave bands and the clustering centers, the rest wave bands refer to wave bands except the clustering centers in the wave Duan Lie vector, the rest wave bands are distributed to different clustering centers according to the similarity, the average value of the wave band vectors in each cluster is calculated according to the distributed clustering clusters to serve as the clustering center of a new round, the calculation is repeated until the clustering centers are converged, wave band combinations under k clustering clusters are output, finally the output wave band combinations are screened by a continuous projection algorithm SPA, any column vector of the spectral reflectivity matrix is used as a starting point, the successive circulation is performed, calculating projection vectors of the algorithm on column vector combinations of other unselected wave bands, adding the other unselected wave bands corresponding to the maximum projection vectors into the selected wave band combination, finishing algorithm circulation for M times, wherein M is the number of the wave bands to be extracted;
the cosine similarity calculation formula is:
wherein k represents the position of the selected wave band in the clustering center, n represents the number of the wave bands in the clustering center, and x i Representing the ith column vector, x, in the remaining bands j Represents the j-th column vector, x in the cluster center band ik Represents the kth attribute, x, of the ith column vector in the remaining bands jk A kth attribute representing a jth column vector in a cluster center band;
randomly dividing a spectrum sample into a correction set and a prediction set, dividing the sample number of the correction set and the prediction set into 225 parts and 75 parts according to a ratio of 3:1, and then putting the correction set and the prediction set into an iPLS_Cos-kmeans+SPA algorithm model for training and adding the correction set and the prediction set into the model of the iPLS_Cos-kmeans+SPA algorithmPredicting to obtain a predicted value of turbidity of the prediction setModel accuracy and stability depend on prediction set determinable coefficient R 2 And the root mean square error RMSEP of the prediction set is evaluated, and the prediction set can determine the coefficient R 2 The calculation formula is as follows:
wherein R is k 2 Representing prediction set determinable coefficients, y k,i Indicating a predicted set of measured values of turbidity, the measured values of turbidity being measured by nephelometry,representing the predicted value of the turbidity of the prediction set, wherein the predicted value of the turbidity is the turbidity corresponding to the wavelength when the determinable coefficient is maximum,>the turbidity average value of the prediction set is represented, and the turbidity average value is the turbidity average value corresponding to the wavelength when the determinable coefficient of the prediction set is maximum;
the root mean square error RMSEP of the prediction set has the following calculation formula:
wherein RMSEP represents root mean square error of the prediction set, and N represents the number of samples in the prediction set;
the iPLS_Cos-kmeans+SPA algorithm model realizes the extraction of the wave band with the maximum determinacy coefficient and the minimum root mean square error of the spectrogram image, thereby realizing the prediction of the turbidity of water;
step 203: the model is applied to the central control subsystem (4), an unmanned plane is used for carrying a spectrometer to image a water body in real time, the water body is transmitted to a rear server for processing, the turbidity is used for monitoring the turbidity of the water body in real time, turbidity data are transmitted to a main control liquid crystal screen and user mobile equipment, a control platform is controlled to move to a position with the maximum turbidity, and the water body at the position is purified.
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