CN111535420A - Intelligent decision making system and method for rainwater collection and reuse system - Google Patents
Intelligent decision making system and method for rainwater collection and reuse system Download PDFInfo
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- 238000000746 purification Methods 0.000 claims abstract description 15
- 238000001914 filtration Methods 0.000 claims abstract description 11
- 238000007781 pre-processing Methods 0.000 claims description 14
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- E—FIXED CONSTRUCTIONS
- E03—WATER SUPPLY; SEWERAGE
- E03F—SEWERS; CESSPOOLS
- E03F3/00—Sewer pipe-line systems
- E03F3/02—Arrangement of sewer pipe-lines or pipe-line systems
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- E—FIXED CONSTRUCTIONS
- E03—WATER SUPPLY; SEWERAGE
- E03F—SEWERS; CESSPOOLS
- E03F5/00—Sewerage structures
- E03F5/10—Collecting-tanks; Equalising-tanks for regulating the run-off; Laying-up basins
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- E—FIXED CONSTRUCTIONS
- E03—WATER SUPPLY; SEWERAGE
- E03F—SEWERS; CESSPOOLS
- E03F5/00—Sewerage structures
- E03F5/10—Collecting-tanks; Equalising-tanks for regulating the run-off; Laying-up basins
- E03F5/101—Dedicated additional structures, interposed or parallel to the sewer system
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- E—FIXED CONSTRUCTIONS
- E03—WATER SUPPLY; SEWERAGE
- E03F—SEWERS; CESSPOOLS
- E03F5/00—Sewerage structures
- E03F5/14—Devices for separating liquid or solid substances from sewage, e.g. sand or sludge traps, rakes or grates
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- G—PHYSICS
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
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Abstract
The invention discloses an intelligent decision-making system and method of a rainwater collecting and recycling system, wherein the rainwater collecting and recycling system comprises a rainwater pretreatment group, a reservoir, a purification tank and a clean water tank, the rainwater pretreatment group transmits pretreated rainwater to the reservoir, and the reservoir sequentially transmits water to the purification tank and the clean water tank through pipeline connection; the decision system comprises a multi-dimensional data acquisition group, a host and a multi-dimensional controller group, wherein the multi-dimensional data acquisition group respectively acquires multi-dimensional parameter data and transmits the multi-dimensional parameter data to the host, and the host outputs an optimal control value to control the multi-dimensional controller group; the method comprises the steps of filtering current unit time data, predicting future unit time data and updating a prediction model, a control model and system model data. By implementing the method, the labor for manual management is greatly reduced, the comprehensive management cost is reduced, the data, real-time and intelligent degrees of sponge measure management are improved, and the social benefit and the economic benefit of sponge city construction are improved.
Description
Technical Field
The invention relates to the technical field of monitoring and intelligent control of a rainwater collection and recycling system, in particular to an intelligent decision making system and method of the rainwater collection and recycling system.
Background
With the acceleration of the urbanization process, landscape water, road washing, greening, car washing and other water use in cities are short in water resources. And more ground is covered by various buildings and roads due to the promotion of urbanization, so that rainwater cannot seep underground, and the pressure of a municipal drainage system is increased. The problem to be solved is that the rainfall is collected and recycled, so that the current situation of water resource shortage is relieved on the one hand, and on the other hand, rainwater is collected to store the rainwater so as to reduce the pressure of the urban drainage system.
Based on the concept of rainwater storage and reutilization, the sponge city becomes a new concept of comprehensive treatment of urban water problems in China. The sponge city is a new generation of urban rainwater management concept, and means that the city has good elasticity in the aspects of adapting to environmental changes, coping with natural disasters caused by rainwater and the like, like a sponge, can quickly absorb, accumulate, permeate and purify rainwater in a rainfall period, reduce rainwater to form runoff and supplement underground water; meanwhile, when the rain is not raining, accumulated water is utilized through a series of treatment measures and matched pipe network facilities, so that rain water resources are better integrated into a water supply and drainage system of a city. The reasonable sponge urban water system is created, the original ecological system of the city can be effectively protected, the original damaged ecological system can be slowly recovered, and meanwhile, the influence on the whole urbanization construction and development is reduced.
The rainwater collecting and recycling system is an effective sponge measure for collecting rainwater and recycling. But the existing rainwater collecting and recycling system has low intelligent degree and can not intelligently detect the water level, the water quality, the gas, the flow rate, the pressure bearing of the pool body and the like in the system. Meanwhile, the existing water quality monitoring device generally detects water in a sampling laboratory or directly detects water through a water quality detector, but the water can generate sediment in the long-time storage process, so that the water quality conditions of the upper part and the bottom of the water are different, and the accuracy of the water quality detected by the existing detection method is poor. The rainwater collection and reuse system is not sufficient in construction and management and control, for example, the current situations of informatization, transparentization and automation such as rainwater collection, circulation, water quality, equipment operation, water resource utilization efficiency, economic benefit and the like are not sufficient.
Disclosure of Invention
The invention aims to solve the technical problem that the informatization, the transparence and the automation of the rainwater collection and recycling system in the existing sponge city are insufficient, and provides an intelligent decision-making system and method of the rainwater collection and recycling system. By collecting key indexes of the rainwater collection and recycling system in real time, drainage, water supply, water supplement and the like are controlled in a full-automatic intelligent decision-making mode according to multiple dimensional parameters. Management labor is greatly reduced through the control decision strategy, comprehensive management cost is reduced, datamation, real-time and intelligence of sponge measure management are improved, the utilization rate of rainwater resources is obviously improved, and the resource utilization efficiency and economic benefits in sponge city construction are improved.
The first aspect of the invention provides an intelligent decision-making system of a rainwater collection and recycling system, which comprises a rainwater collection and recycling system structure component and a decision-making system, wherein the rainwater collection and recycling system structure component comprises a rainwater pretreatment group, a reservoir, a purification tank and a clean water tank, the rainwater pretreatment group transmits pretreated rainwater to the reservoir through pipeline connection, and the reservoir sequentially transmits rainwater to the purification tank and the clean water tank through pipeline connection; the decision system comprises a multidimensional data acquisition group, a host and a multidimensional controller group, wherein the multidimensional data acquisition group respectively acquires multidimensional parameter data in the rainwater pretreatment group, the reservoir, the purification tank and the clean water tank and transmits the multidimensional parameter data to the host, and the host comprehensively analyzes the multidimensional parameter data and outputs an intelligent decision to control the multidimensional controller group.
In a first possible implementation manner, the rainwater pretreatment group includes a diversion well, a drainage well and a filter well, the reservoir is further connected with a sewage pipe, the diversion well, the drainage well and the filter well are connected through a pipeline for rainwater transmission, and the drainage well is further connected with the sewage pipe:
the split-flow well is used for splitting a part of rainwater into a rainwater pipe and a part of rainwater into a reservoir, the split-flow well guides the subsequent split-flow rainwater after the split-flow initial rainwater is split and flows into the filter well, and the rainwater flows into the reservoir after being filtered.
In a second possible implementation manner, the decision making system further includes a cloud platform and a plurality of terminals, the host transmits data to the cloud platform, and the cloud platform is in communication connection with the plurality of terminals.
With reference to the first implementation manner of the present invention, in a third possible implementation manner, the multidimensional data acquisition group includes a first dimension unit, a second dimension unit, a third dimension unit, a fourth dimension unit, a fifth dimension unit, and a sixth dimension unit;
the first dimension unit is used for preprocessing data streams of a diversion well, a abandoning well and a filtering well, detecting the water inlet state and the water inlet flow rate and controlling the water inlet flow rate of the reservoir;
the second dimension unit is used for detecting the state of the reservoir and the data stream of the drainage flow, and inputting the state of the third dimension unit, the processed data streams of the first dimension unit, the fourth dimension unit and the sixth dimension unit; controlling the drainage flow of the reservoir;
third dimension unit: preprocessing the turbidity and gas specific data stream of the reservoir, detecting the cleaning state and the gas state, and controlling a cleaning system and an aeration system;
a fourth dimension unit: preprocessing basic data flow of the reservoir, detecting the state of the reservoir and pumping flow, inputting the data flow of a second dimension unit and a fifth dimension unit, and controlling the flow of a pumping port of the reservoir;
a fifth dimension unit: preprocessing the data stream, the detection state and the water inlet flow of the purification tank, inputting the data stream of a fifth dimension unit and a sixth dimension unit, and controlling the water inlet flow of the reservoir;
sixth dimension unit: the method comprises the steps of preprocessing weather, outer-end water consumption, clean water pool data flow, detecting state, using water flow, inputting fifth-dimension unit data flow, controlling water consumption flow, and externally connecting an intelligent terminal water consumption interface.
In a fourth possible embodiment in combination with the third embodiment of the present invention, the aeration system and the cleaning system are disposed in the reservoir, and the basic data includes liquid level, dissolved oxygen, pH value and SS suspended matter water quality parameters.
In a fifth possible implementation manner, in combination with the third implementation manner of the present invention, the data stream of the clean water tank includes parameters of water level, dissolved oxygen, and pH value.
In a second aspect, an intelligent decision method for a rainwater collection and reuse system is provided, which includes the steps of:
acquiring a current time unit multidimensional data stream of a structural component of the rainwater collection and reuse system:
Y(t)＝(Y1,Y2,…,Yn) (1)
wherein t represents a current time unit and n represents a data dimension;
the multidimensional data stream of the current time unit is standardized, and the output data of the current time unit is calculated
The formula (1) is obtained by standardization
y(t)＝(y1,y2,…,yn) (2)
Obtaining last time output data
x(t-1)＝(x1,x2,…,xn) (3)
The current time unit output data is
x(t)＝x(t-1)+λ·Pt-1·(y(t)-x(t-1)) (4)
Wherein λ is an attenuation factor, and λ ∈(0,1)，Pt-1Is a correlation coefficient matrix;
allocation of input data by dimension Unit j requirement
Obtaining the state of each dimension unit j at the last time point t-1
Current state data of each dimension unit
Wherein A isj(S) is the implicit state transition probability function of state S in dimension unit j, Bj(x, S) is the observed x-state transition probability function in dimension unit j at S-state, j ∈ (1,2, …, C);
the data of the current time unit t are predicted respectively as
Wherein
Is mjDimension vector, mjDetermined by the input parameter data of each dimension unit controller group,
a prediction function for the weather conditions fitted to the model in the S state.
Intelligent decision-making method combined with rainwater collecting and recycling systemIn the first embodiment, the conditional prediction function
Is composed of
The matrix of correlation coefficients Pt-1Is composed of
Wherein: u. oftFor cumulative mean, U is the mean vector matrix, NtIs the cumulative amount.
In a second embodiment, the intelligent decision method of the rainwater collection and reuse system further includes a step of updating a data stream:
and combining the output data of each dimension unit into total output data, and fitting the prediction function again by using the current time state data, the output data and the input data of the controller group.
An intelligent decision making system and method of a rainwater collection and recycling system are implemented, and rainwater collection, rainwater discharge, rainwater recycling and municipal purified water supply (when rainwater is insufficient) are controlled from multiple dimensional parameters through collecting key indexes of a reservoir and a clean water tank in real time. By collecting key indexes of the rainwater collection and recycling system in real time, drainage, water supply, water supplement and the like are controlled in a full-automatic intelligent decision-making mode according to multiple dimensional parameters. The control decision strategy greatly reduces management labor, lowers comprehensive management cost, improves the datamation, real-time and intelligence of sponge measure management, obviously improves the utilization rate of rainwater resources, and improves the resource utilization efficiency and economic benefit in sponge city construction.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a schematic plan view of a rainwater collection and recycling system according to the present invention;
FIG. 2 is a schematic diagram of the logical connection of the hardware structure of the intelligent decision making system of the rainwater collection and reuse system according to the present invention;
FIG. 3 is a schematic diagram of an intelligent decision system of the rainwater collection and recycling system according to the present invention;
FIG. 4 is a schematic diagram of the general control flow of the intelligent decision method of the rainwater collection and reuse system according to the present invention;
FIG. 5 is a schematic diagram of the general control flow of the intelligent decision method of the rainwater collection and reuse system according to the present invention;
description of the figure numbering: 101-LoRa host computer, 102-display unit, 103-cloud platform, 201-first dimension unit, 202-second dimension unit, 203-third dimension unit, 204-fourth dimension unit, 205-fifth dimension unit, 206-sixth dimension unit.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The existing rainwater collecting and recycling system is insufficient in informatization, transparency and automation.
In view of the above problems, as shown in fig. 1, fig. 1 is a schematic plan view of a rainwater collection and reuse system in the present invention, and provides an intelligent decision-making system of a rainwater collection and reuse system, which includes a structural component of the rainwater collection and reuse system and a decision-making system, wherein the structural component of the rainwater collection and reuse system includes a rainwater pretreatment group, a reservoir, a purification tank and a clean water tank, the rainwater pretreatment group transmits pretreated rainwater to the reservoir through pipe connection, and the reservoir sequentially transmits water to the purification tank and the clean water tank through pipe connection; referring to fig. 2, fig. 2 is a schematic diagram of a hardware structure logic connection of an intelligent decision making system of the rainwater collection and reuse system of the present invention, the decision making system includes a multidimensional data collection group, a host 101 and a multidimensional controller group, the multidimensional data collection group respectively collects multidimensional parameter data in a rainwater pretreatment group, a reservoir, a purification tank and a clean water tank and transmits the data to the host 101, and the host 101 comprehensively analyzes the multidimensional parameter data and outputs an intelligent decision to control the multidimensional controller group.
The multidimensional data acquisition group performs data acquisition on a plurality of nodes of an intelligent decision system of the rainwater collection and recycling system, performs data monitoring from a plurality of dimensions, provides a data base for data evaluation and prediction of each dimension unit in current unit time, ensures decision accuracy, reduces labor cost and improves intelligent degree.
The rainwater pretreatment group comprises a flow dividing well, a flow abandoning well and a filtering well, the reservoir is further connected with a sewage pipe, the flow dividing well, the flow abandoning well and the filtering well are connected through pipelines to transmit rainwater, and the flow abandoning well is further connected with the sewage pipe. The diversion well is used for receiving rainwater, the initial rainwater received by the flow abandoning well is abandoned, and the later rainwater is transmitted to the filtering well to be filtered and then flows to the reservoir.
Through pretreatment of rainwater, the decontamination pressure of the reservoir can be effectively reduced. The cistern carries out the secondary decontamination to the rainwater of input, improves quality of water.
The decision making system further comprises a cloud platform 103 and a plurality of terminals, the host 101 transmits data to the cloud platform 103, and the cloud platform 103 is in communication connection with the plurality of terminals. Data are shared through the cloud platform 103, and the mobile terminal, the master control terminal and the PC terminal can control the controller, so that the whole system is more flexible to control.
Referring to fig. 3, fig. 3 is a schematic diagram of an intelligent decision system of the rainwater collection and recycling system of the present invention, and the multidimensional data collection group includes a first dimension unit 201, a second dimension unit 202, a third dimension unit 203, a fourth dimension unit 204, a fifth dimension unit 205, and a sixth dimension unit 206.
The first dimension unit 201 is used for preprocessing data streams of a diversion well, a abandoning well and a filtering well, detecting the water inlet state and the water inlet flow rate and controlling the water inlet flow rate of a reservoir;
the second dimension unit 202 is used for detecting the state of the water reservoir and the water flow data stream, and inputting the state of the third dimension unit 203, the processed data streams of the first dimension unit 201, the fourth dimension unit 204 and the sixth dimension unit 206; controlling the drainage flow of the reservoir;
third dimension unit 203: preprocessing the turbidity and the gas specific data stream of the reservoir, detecting the cleaning state and the gas state, and controlling a reservoir cleaning system and an aeration system;
fourth dimension unit 204: preprocessing basic data flow of the reservoir, detecting the reservoir state and the pumping flow, inputting the data flow of the second dimension unit 202 and the fifth dimension unit 205, and controlling the flow of the pumping port of the reservoir.
Fifth dimension unit 205: and preprocessing the data stream of the purification tank, detecting the state and the inflow flow rate, inputting the data stream into a fifth dimension unit 205 and a sixth dimension unit 206, and controlling the inflow flow rate of the reservoir.
Sixth dimension unit 206: the weather, the outer end water consumption, the clean water basin data flow are preprocessed, the state and the water consumption flow are detected, the data flow is input into the fifth dimension unit 205, the water consumption flow is controlled, and the water consumption interface of the intelligent terminal is externally connected.
The aeration system and the cleaning system are arranged in the reservoir, and the basic data comprise liquid level, dissolved oxygen, pH value and SS suspended matter water quality parameters.
The clean water tank data stream includes liquid level, dissolved oxygen and pH water quality parameters.
The multidimensional unit collects and monitors parameters such as water inlet, water discharge, turbidity, flow, gas in the pool, water quality and the like, basic data are provided for an intelligent decision making system of the rainwater collection and recycling system, each multidimensional unit model, system model and decision making model are established in the decision making system, each model predicts state data of each multidimensional unit in current unit time and future unit time by using the basic data, the decision making model selects an optimal control value to output to a controller group, operation of each device of the system is controlled, and intelligent control of the decision making system of the rainwater collection and recycling system is achieved.
In a second aspect, an intelligent decision method for a rainwater collection and reuse system is provided, which includes the steps of:
referring to fig. 4, fig. 4 is a schematic diagram of a general control flow of an intelligent decision method of the rainwater collection and reuse system according to the present invention, and a sensor in a multidimensional data collection group is used to obtain a current water level, a turbidity data of a reservoir, a weather data stream of a plurality of time units in the future, and the like, which may need to be monitored, such as a diversion well, a flow abandoning well, a filter well, the reservoir, a purification tank, a clean water tank, and the like. And then carrying out standardization processing and data filtering on the data to generate environment real-time data and a prediction data stream. And performing state evaluation on each current dimensional unit according to the real-time data and the predicted data stream, performing decision evaluation on decisions such as operation, equipment start and stop, reuse irrigation and the like of each dimensional unit of the current system by combining the real-time data and the predicted data stream, selecting an optimal control value according to a decision evaluation scheme, generating a control instruction of each terminal control point, and starting a terminal controller to control corresponding equipment to operate and water flow.
As shown in fig. 5, fig. 5 is a schematic diagram of the general control flow of the intelligent decision method of the rainwater collection and reuse system in the present invention:
acquiring a current time unit multidimensional data stream of a structural component of a rainwater collection and reuse system:
Y(t)＝(Y1,Y2,…,Yn) (1)
wherein: t represents the current time unit, and n represents the data dimension;
standardizing the multidimensional data stream of the current time unit, calculating the output data formula (1) of the current time unit, and standardizing
y(t)＝(y1,y2,…,yn) (2)
Obtaining last time output data
x(t-1)＝(x1,x2,…,xn) (3)
The current time unit output data is
x(t)＝x(t-1)+λ·Pt-1·(y(t)-x(t-1)) (4)
Wherein λ is an attenuation factor, and λ ∈ (0,1), Pt-1Is a matrix of correlation coefficients, Pt-1The calculation was performed according to equation (9).
Distributing input data according to the requirement of each dimension unit j
Obtaining the state of each dimension unit j at the last time point t-1
Current state data of each dimension unit
Wherein A isj(S) is the implicit state transition probability function of state S in dimension unit j, Bj(x, S) is the probability function of the observed x state transition in dimension unit j under S state, j ∈ (1,2, …, C), and the state vector of the current time is stored
Outputting the data
For the next time unit t + 1.
The data of the current time unit t are predicted respectively as
Wherein: f. ofS(x) A prediction function that is model fit in the S state, such as: decision trees, support vector machines, neural networks, and the like.
Is mjA dimension vector. m isjControlled by modulesThe input parameter data of the group is determined.
From z(t)To judge the information of the condition of each controller group; for example: water flow rate, water volume, time, whether flushing, whether filtering, whether aerating, etc.
Obtaining a weather data stream W of future time units (including a current time unit)(t)Calculating a conditional prediction function
The weather data stream W(t)Is W(t)＝(Wt,Wt+1,…,Wt+s-1) The conditional prediction function is
Wherein f iss(xW) is the weather condition prediction function of model fitting in the S-state. Generating a prediction data vector by an iterative algorithm
Therefore, the prediction model of the weather data condition is
In a first embodiment, an intelligent decision method for a rainwater collection and reuse system according to the present invention is provided
Is composed of
Matrix of correlation coefficients Pt-1Is composed of
The above formula (9) is represented by
U＝[ut-1,ut-1,…,ut-1]Is calculated from u oftFor cumulative mean, U is the mean vector matrix, NtIs the cumulative amount.
Preferably, the decision method further comprises the step of data flow updating:
and combining the output data of each dimension unit into total output data, and fitting the prediction function again by using the current time state data, the output data and the input data of the controller group. Merging
Is the total output data x(t)＝(x1,x2,…,xn) The current time state
Output data x(t)＝(x1,x2,…,xn) Control input data
Refitting the prediction function
An intelligent decision making system and method of a rainwater collection and recycling system are implemented, and rainwater collection, rainwater discharge, rainwater recycling and municipal purified water supply (when rainwater is insufficient) are controlled from multiple dimensional parameters through collecting key indexes of a reservoir and a clean water tank in real time. By collecting key indexes of the rainwater collection and reuse system in real time, drainage, water supply, water supplement and the like are controlled in a full-automatic intelligent decision-making mode according to multiple dimensional parameters. Management labor is greatly reduced through the control decision strategy, datamation, real-time performance and intellectualization of sponge measure management are improved, the utilization rate of rainwater resources is obviously improved, and the resource utilization efficiency and economic benefits in sponge city construction are obviously improved.
While the present invention has been described with reference to the embodiments shown in the drawings, the present invention is not limited to the embodiments, which are illustrative and not restrictive, and it will be apparent to those skilled in the art that various changes and modifications can be made therein without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (9)
1. An intelligent decision-making system of a rainwater collection and recycling system is characterized by comprising a rainwater collection and recycling system structure component and a decision-making system, wherein the rainwater collection and recycling system structure component comprises a rainwater pretreatment group, a reservoir, a purification tank and a clean water tank, the rainwater pretreatment group transmits pretreated rainwater to the reservoir through pipeline connection, and the reservoir sequentially transmits water to the purification tank and the clean water tank through pipeline connection; the decision-making system comprises a multi-dimensional data acquisition group, a host and a multi-dimensional controller group, wherein the multi-dimensional data acquisition group respectively acquires multi-dimensional parameter data in the rainwater pretreatment group, the reservoir, the purification tank and the clean water tank and transmits the multi-dimensional parameter data to the host, and the host controls the multi-dimensional controller group by using the multi-dimensional parameter data and a decision-making method.
2. The intelligent decision-making system according to claim 1, wherein the rainwater pretreatment group comprises a diversion well, a abandonment well and a filtering well, the reservoir is further connected with a sewage pipe, the diversion well, the abandonment well and the filtering well are connected through pipelines for rainwater transportation, and the abandonment well is further connected with the sewage pipe:
the split-flow well is used for splitting a part of rainwater into a rainwater pipe and a part of rainwater into a reservoir, the split-flow well guides the subsequent split-flow rainwater after the split-flow initial rainwater is split and flows into the filter well, and the rainwater flows into the reservoir after being filtered.
3. The intelligent decision making system according to claim 1, further comprising a cloud platform and a plurality of terminals, wherein the host transmits data to the cloud platform, and the cloud platform is in communication connection with the plurality of terminals.
4. The intelligent decision making system according to claim 2, wherein the multi-dimensional data collection group comprises a first dimension unit, a second dimension unit, a third dimension unit, a fourth dimension unit, a fifth dimension unit and a sixth dimension unit;
the first dimension unit is used for preprocessing data streams of a diversion well, a abandoning well and a filtering well, detecting the water inlet state and the water inlet flow rate and controlling the water inlet flow rate of the reservoir;
the second dimension unit is used for detecting the state of the reservoir and the data stream of the drainage flow, and inputting the state of the third dimension unit, the processed data streams of the first dimension unit, the fourth dimension unit and the sixth dimension unit; controlling the drainage flow of the reservoir;
third dimension unit: preprocessing the turbidity and gas specific data stream of the reservoir, detecting a cleaning state and a gas state, and controlling a cleaning system and an aeration system of the reservoir;
a fourth dimension unit: preprocessing basic data flow of the reservoir, detecting the state of the reservoir and pumping flow, inputting the data flow of a second dimension unit and a fifth dimension unit, and controlling the flow of a pumping port of the reservoir;
a fifth dimension unit: preprocessing the data stream, the detection state and the water inlet flow of the purification tank, inputting the data stream of a fifth dimension unit and a sixth dimension unit, and controlling the water inlet flow of the reservoir;
sixth dimension unit: the method comprises the steps of preprocessing weather, outer-end water consumption, clean water pool data flow, detecting state, using water flow, inputting fifth-dimension unit data flow, controlling water consumption flow, and externally connecting an intelligent terminal water consumption interface.
5. The intelligent decision making system according to claim 4, wherein the aeration system and the cleaning system are arranged in the water storage tank, and the basic data comprise liquid level, dissolved oxygen, pH value and SS suspended matter water quality parameters.
6. The intelligent decision making system according to claim 4, wherein the clean water basin data stream comprises liquid level, dissolved oxygen, and pH water quality parameters.
7. An intelligent decision method of a rainwater collection and reuse system is characterized by comprising the following steps:
obtaining a current time unit multidimensional data stream of a structural component of a rainwater collection and reuse system
Y(t)＝(Y1,Y2,…,Yn) (1)
Wherein: t represents the current time unit, and n represents the data dimension;
the multidimensional data stream of the current time unit is standardized, and the output data of the current time unit is calculated
The formula (1) is obtained by standardization
y(t)＝(y1,y2,…,yn) (2)
Obtaining last time output data
x(t-1)＝(x1,x2,…,xn) (3)
The current time unit output data is
x(t)＝x(t-1)+λ·Pt-1·(y(t)-x(t-1)) (4)
Wherein λ is an attenuation factor, and λ ∈ (0,1), Pt-1Is a correlation coefficient matrix;
distributing input data according to the requirement of each dimension unit j
Obtaining the state of each dimension unit j at the last time point t-1
Current state data of each dimension unit
Wherein A isj(S) is the implicit state transition probability function of state S in dimension unit j, Bj(x, S) is the observed x-state transition probability function at the S-state in dimension unit j, j ∈ (1,2, …, C);
the data of the current time unit t are predicted respectively as
Wherein
k∈(0,1)；
Is mjDimension vector, mjDetermined by the input parameter data of each dimension unit controller group,
a prediction function for the weather conditions fitted to the model in the S state.
8. The intelligent decision-making method according to claim 7, wherein the conditional prediction function
Is composed of
The matrix of correlation coefficients Pt-1Is composed of
Wherein u istFor cumulative mean, U is the mean vector matrix, NtIs the cumulative amount.
9. The intelligent decision-making method according to claim 7, further comprising the step of data flow updating:
and combining the output data of each dimension unit into total output data, and fitting the prediction function again by using the current time state data, the output data and the input data of the controller group.
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