CN101774700A - Cellular automata model-based visual simulation method for sewage purification process - Google Patents

Abstract

The invention discloses a cellular automata model-based visual simulation method for a sewage purification process, and belongs to the fields of intelligent science and environmental engineering discipline. In the method, a three-dimensional lattice gas cellular automata model is adopted, a cube represents a cellular structure of the cellular automata, and the central nodes of the cube represent a static node and a diffusion node of a cell respectively. By designing states of different nodes and an evolution rule comprising a diffusion process, a reaction process and a settlement process, the purification process of sewage treatment is simulated dynamically. Through the simulation model established by the method, the dynamic evolution behaviors of the sewage treatment process by a sludge method can be described more intuitively, so the micro evolution behaviors of an active sludge system are more clear and easy to grasp; and by intuitively observing reaction changes, the BOD of effluent quality can be timely monitored, the control decision is conveniently guided in real time, and the design and dynamic simulation of a sewage treatment plant are convenient.

Description

Visual simulation method for sewage purification process based on cellular automata model

Technical field

The invention belongs to intelligence science and environmental engineering subject field, be specifically related to a kind of dynamic and visual model of three-dimensional cell automaton.This model has been showed the scavenging process of sewage disposal in real time, by the reactions change of observation microorganism directly perceived and organic pollutant, can in time monitor effluent quality BOD, is convenient to instruct in real time controlling decision, is convenient to the design and the dynamic simulation of sewage work.

Background technology

Along with the growth of national economy and the enhancing of public's environmental consciousness, sewage disposal technology has welcome unprecedented opportunity to develop, yet because the complicacy of sewage work, and the nonrepeatability of reaction process and characteristics such as not reproducible, make the model of prediction be unfavorable for controlling decision, control method is relatively backward, therefore, set up the model of the visual Sewage treatment systems of more reliable perfect practicality, become the important topic of sewage control engineering area research.Therefore, achievement in research of the present invention has broad application prospects.

Owing to have characteristics such as treatment effect is good, running cost is low, the activated sludge process biological treatment of sewage has become a basic and main method of sewage disposal.The active sludge sewage treatment process is the biochemical reaction process of a complexity, and it is to utilize the absorption of active sludge and biochemical oxidation to be used for decomposing the organic substance of removing in the waste water, thereby waste water is purified.That this process has is highly non-linear, the time characteristics such as change, uncertainty and time lag, so the foundation of model is difficult unusually.

The model of Sludge System mainly contains ASM series model, model of mind and mixture model at present.Many quantitative relationships are obtained by experience in the ASM series model, and unknown parameter is many, and uncertain parameter presents uncertain variation at different environment.It is not superior that model of mind is compared with the ASM series model, just when the system that the mechanism of problem is had little understanding maybe and can not show with mathematical model, the best often instrument of intelligent modeling.Model of mind is a kind of " black-box model ", and this modeling method has limited understanding and the research of people to biological sewage treatment mechanism.Mixture model is that it combines both advantages with preceding two kinds of models that model combines, but has increased the complicacy of model, does not overcome the defective of two kinds of models, is unfavorable for the control and the application of Sludge System.Simultaneously, above model the visual of sewage treatment process that all be unrealized limited understanding and the research of people to its biomechanism, scavenging process that can not the real-time monitored sewage disposal, and can not in time monitor effluent quality, thereby be not easy to the design and the dynamic simulation of sewage work's control.

Summary of the invention

Because two-dimensional model quantitative evolution rule that designed on the activated sludge kinetics basis, under this rule, the distribution of particle can not surpass certain density, otherwise easily produces local reaction.In order to have reacted the dynamic evolutionary process of sewage disposal more really, the present invention is on the basis of two-dimensional model, in conjunction with the characteristics design of activated sludge kinetics characteristic and cell automatization a kind of probability evolution rule of three-dimensional dynamic change, the improved model of three-dimensional Lattice Gas cellular automaton has been proposed.

This model by to the propagation rule of microorganism and the dynamics model analysis of active sludge, has designed microorganism absorption and metabolic probability evolution rule based on three-dimensional Lattice Gas cellular automaton; Different steps, the evolution probability difference of microorganism has solved the complexity problem of sewage treatment process; By the scavenging process of real-time monitored sewage disposal, can in time monitor effluent quality BOD, be convenient to instruct in real time controlling decision, be convenient to the design and the dynamic simulation of sewage work.

Concrete technical scheme of the present invention may further comprise the steps:

(1) design cellularstructure

Adopt three-dimensional Lattice Gas cellular automata model as shown in Figure 1, the cellularstructure of cellular automaton is represented by cubes, cubical center node is expressed as the static node of cell, the center node of cubical six faces is expressed as the diffusion node of cell, and the three-dimensional network that cubes is formed is represented the reaction compartment of particle; The state of cell is by the STA representation of node, and there is the expression particle that responds in the existence of the STA representation particle of each node or do not exist, and does not have the no particle of expression;

Use c _iThe mark node state, wherein { 0,1,2,3,4,5,6} represents seven nodes of cell to i ∈.When i=0, represent static node; { 1,2,3,4,5,6} represents diffusion node as i ∈.c _iValue is that 0 or 1,1 this node of expression exists particle, and there is not particle in 0 this node of expression.N _i(t r) is illustrated in t constantly, the particle state of i node in the cell r, and (t r) is expressed as the state of current time cell r to S.Then the STA representation of t moment cell r is

$S(r,t)=\underset{i=0}{\overset{6}{\mathrm{\Σ}}}{c}_i{N}_i(t,r)---\left(1\right)$

(2) determine particle state

Since the activated sludge process process nature of purifying liquid waste be organic pollutant as nutritive substance by the process of active sludge microorganism picked-up, metabolism and utilization, be organic pollutant, adsorb organic compound, generation microorganism, four kinds of states of gas so the present invention determines the diffusion node particle state; Static node particle state is microorganism, gas two states;

The state of organic pollutant is 2, has free diffusion function; The state of adsorb organic compound is 4, and expression is an immobilized by intracellular microorganism particle absorption; The state that generates microorganism is 1, and the expression adsorb organic compound is synthesized self material by intracellular microorganism particle, because this particle, can freely spread so do not have absorption and metabolic function not through domestication; The state of gas is 0, and the expression adsorb organic compound is become gas and water by intracellular microorganism particle katabolism; The state of microorganism is 3, represents that this particle is the good microorganism of domestication, has the function of metabolism and absorption.In order to satisfy exclusion principle,, a particle is arranged at most for each node.

When i ∈ 1,2,3,4,5,6}, when promptly i is diffusion node, N _i(t, r) { 0,1,2,4} represents that the current particle state of this node can be got gas, generates microorganism, organism, four kinds of states of organism of being adsorbed to ∈.Work as i=0, when promptly i is static node, N ₀(t, r) { 0,3} represents that the particle state of static node can only be got gas, microorganism two states to ∈.

(3) set up model

As container, the cubes of n * n * n is as (the m＞=n) of sewage reaction compartment in the container with the rectangular parallelepiped of n * n * m for this model; The sewage reaction compartment is divided into the static node of L * L * L node as initial model.Because each cell has only a static node, so the number that static node number also is a cell; (L+1) * (L+1) * (L+1) individual node is as the diffusion node of initial model, and L is an integer;

(4) init state of setting model

Because the initial time particle does not also participate in reaction, this model has only microorganism and organic pollutant two states at initial time; Microbial profile is at static node, and organic pollutant is distributed on the diffusion node, and the state of considering is the randomness that has to a certain degree, the initial time state occurs with probability a at node, or does not occur with probability 1-a, and (0-1) that promptly obey on the probability distributes, wherein, 0＜a＜1;

(5) design evolution rule

The particle of each equal state has identical mass concentration in the cell, the variable effect microorganism of particle and organic concentration.Next state constantly of each cell only relies on its cell state of this moment in the cellular automaton, so its evolution rule has local characteristics, and is same to all cells, and is applied to each cell simultaneously.

In the model of cellular automaton, time t is by discretize, and for each discrete state

t＝kΔT (2)

Wherein, k={0,1,2 ... be discrete-time series, Δ T is the discrete time interval.

The model evolution rule mainly comprises three processes: diffusion process, reaction process, settling process.

1. diffusion process.

If t constantly

$S(r,t)=\underset{i=1}{\overset{6}{\mathrm{\Σ}}}{c}_i{N}_i(t,r)+0---\left(3\right)$

Be that static node does not have the microorganism particle, then the particle of diffusion node is done diffusion motion, and at this moment, this motion keeps the population conservation.Diffusion motion mainly is divided into two kinds of situations.

When the expanding node does not have the adsorb organic compound particle, particle will be done free diffusion motion in cell, and then the state S (r, t+ Δ T) of t+ Δ T this cell of the moment is

S(r，t+ΔT)＝c ₁N ₂+c ₂N ₁+c ₃N ₄+c ₄N ₃+c ₅N ₆+c ₆N ₅ (4)

When diffusion node had the adsorb organic compound particle, the granule for absorbing of this node was static.If other diffusion node has particle, particle will be done free diffusion motion between other case.

2. reaction process

If t constantly

$S(r,t)=\underset{i=1}{\overset{6}{\mathrm{\Σ}}}{c}_i{N}_i(t,r)+3---\left(5\right)$

Be that static node has by the good microorganism particle of domestication, this microorganism particle has absorption, decomposes and the synthetic organic function of this cell internal diffusion node, also has the function of endogenous respiration simultaneously.Microbial metabolism is based upon on the absorption basis, and promptly organism has only by microorganism and adsorbed, and metabolism or anabolism just might be decomposed.

Based on above analysis, the evolution rule of reaction process mainly is divided into following four rules.

Absorption rule: when this moment microorganism growth (microorganisms grow phase increment＞0.8mg/L), the organic pollutant particle will be with probability P when not entering stationary phase ₀By microorganism panning is adsorb organic compound, because that organism is adsorbed is relevant with the organism of the microorganism of static node and diffusion node, so adsorption probability is relevant with organic distribution with microorganism, that is:

${\mathrm{<figure-callout\; id="0"\; label="P"\; filenames="H2009102444345E00011.png"\; state="\{\{state\}\}">P</figure-callout>}}_0=\frac{-\mathrm{\&Delta;S}}{\mathrm{SP}}---\left(6\right)$

P＝P ₁₁P ₂₂ (7)

In the formula, Δ S represents organic concentration increasing amount in the Δ T, mg/L; S is a t organic concentration constantly, mg/L; P represents the constantly organic microorganism probability on every side that is distributed in of t; P ₁₁Expression t is the occupation probability of each case microorganism constantly; P ₂₂Organic occupation probability on expression t each case of the moment.

The katabolism rule: this process provides energy for anabolism.When the growth when not entering stationary phase of microorganism this moment, and anabolism is not when having energy, and each adsorb organic compound particle will be with probability P ₁Become gas, water and energy by microbiological degradation.Because per minute is separated the energy of an organism particle, can be for synthetic two the microorganism particles (based on the Mckinney model) of microorganism, so adsorb organic compound is decomposed and synthetic probability ratio=1: 2.Again because katabolism and anabolism are to be based upon on the basis that organism is adsorbed, and each the time a kind of reaction can only take place the step, so the metabolism probability of microorganism equals the adsorption probability in a moment on the organism.Then decompose probability P ₁Be 1/3 of a last moment adsorption probability, that is:

In the formula, P ₀' expression t-Δ T is the organic pollutant adsorption probability constantly.

The anabolism rule: this process consumed energy is the microorganisms grow stage.When the growth when not entering stationary phase of microorganism this moment, and cell is when having energy, and each adsorb organic compound particle will be with probability P ₂By the synthetic generation of microorganism microorganism, and compound probability P ₂Be 2/3 of a last moment adsorption probability, that is:

In the formula, P ₀' expression t-Δ T is the organic pollutant adsorption probability constantly.

The endogenous respiration rule: the growth of microorganism (is a microorganisms grow phase increment＜=0.8mg/L), enter the endogenous respiration stage after entering stationary phase when this moment.In this stage, each generates microorganism and is oxidized to gas, water and energy with probability P 3 by the active sludge microorganism endogenous respiration, and the energy of generation is used for the activity of earning a bare living.Because the microorganism that endogenous respiration is fallen is to generate microorganism, so the endogenous respiration probability is relevant with the probability distribution that generates microorganism, that is:

${\mathrm{<figure-callout\; id="3"\; label="P"\; filenames="H2009102444345E00011.png"\; state="\{\{state\}\}">P</figure-callout>}}_3=\frac{-\mathrm{\&Delta;X}}{\mathrm{\&Delta;}{X}^{\&prime;}{P}^{\&prime;}}---\left(10\right)$

P′＝P ₁₁P ₂₂′

In the formula, Δ X represents the concentration increasing amount of microorganism in the Δ T, mg/L; Δ X ' expression t generates the concentration of microorganism, mg/L constantly; P ' expression t generates the probability of microbial profile around microorganism constantly; P ₁₁Expression t is the occupation probability of each case microorganism constantly; P ₂₂Generate the occupation probability of microorganism on ' expression t each case of the moment

3. settling process

When the endogenous respiration effect weakens gradually, (microorganism did not reduce phase reduction＜=0.5mg/L), stop aeration when the decrease of microorganism had considerable change.Microorganism and the organism that is adsorbed carry out sedimentation owing to be subjected to the effect of gravity; The organism that small portion is not degraded will still swim in the water body.The organism sinking that the sedimentation rule is followed microorganism and is adsorbed, the organism that is not adsorbed, gas and waterborne floating.

Normally carry out for guaranteeing to react, Sewage treatment systems is had following restricted condition: the BOD in the aeration tank in the nutrition source of sewage: N: P=100: 5: 1, meet the required nutraceutical ratio of microorganism growth; Contain enough oxygen in the aeration tank, and the concentration of dissolved oxygen maintains 3～4mg/L, and be evenly distributed in the aeration tank, help the physiological activity normal reaction of microorganism; Do not have toxic substance in the water inlet, and system's operating temperature is controlled at 20～30 ℃, pH value guarantees the activity of enzyme in the bacterial metabolism process and the normal utilization of nutritive substance between 6.5～8.5; Biochemical reaction does not take place in settling process, and the physical sedimentation effect is only arranged.

The present invention has following beneficial effect:

(1) the present invention is directed to the complicacy of sewage work, and the nonrepeatability of reaction process and characteristics such as not reproducible, the problem that is difficult to overcome the complicacy of Sludge System based on existing model, can realize the characteristics of the complicated physical phenomenon of macroscopic at a microscopic fields with a simple rule according to cellular automaton, adopted three-dimensional Lattice Gas cellular automaton to its modeling, combine hydromeehanics thought, have characteristics such as verity is strong, intuitive is good; Be convenient to the scavenging process of people's real-time monitored to sewage disposal.

(2) the present invention has determined dynamic probability evolution rule according to the propagation rule of microorganism and the dynamics of active sludge, foundation is near the simulation model of the virtual metabolic process of real world, portrayed the dynamic evolution behavior of activated sludge process sewage treatment process more intuitively, make that the evolution behavior of Sludge System microcosmic is more distinct and be easy to hold, by observation reactions change directly perceived, can in time monitor effluent quality BOD, be convenient to instruct in real time controlling decision, be convenient to the design and the dynamic simulation of sewage work.

Description of drawings

Fig. 1 is the cellularstructure synoptic diagram of three-dimensional Lattice Gas cell automatization;

Fig. 2 a is the initial distribution synoptic diagram of organism and microorganism;

Fig. 2 a～h is the synoptic diagram of activated sludge purification process; 2a～h represents the increase of time;

Fig. 3 is the growth curve of the microorganism of cellular automata model and classical model.

Embodiment

Below in conjunction with embodiment so that the present invention will be described in detail:

Now the active sludge sewage disposal of intermittently cultivating with certain city is as embodiment, and certain daily blowdown water amount is 15700m ³, the sludge quality concentration of mixed solution is 2500mg/L in the raw waste water, and the BOD concentration of water inlet is 200mg/L, and the volume of reactor is 1500m ³

(1) setting of initial model and state

As container, 1.0 * 1.0 * 1.0 cubes is as sewage reaction compartment in the container with 1.0 * 1.0 * 1.3 rectangular parallelepiped for this model, expression 1500m ³The sewage reaction compartment is divided into the static node of 10 * 10 * 10 nodes as initial model, i.e. number of cells; 11 * 11 * 11 nodes are as the diffusion node of initial model.Through the checking to activated sludge purification Mechanism analysis and part experiment, the present invention selectes Δ T=1/3h, and Initial microorganisms is with the static node of 3/5 probability distribution at each cell, and organism is with the diffusion node of 1/2 probability distribution at each cell.By initial setting with to the analysis of activated sludge kinetics characteristic, can obtain initial sludge loading F/M=0.837kgBOD/ (kgMLVSSd), adsorption probability P ₀=0.868, decompose probability P ₁=0, compound probability P ₂=0, the endogenous respiration probability P ₃=0.

(2) determine evolution rule

Evolution rule mainly comprises three processes:

1. diffusion process

If t constantly, static node does not have the microorganism particle, and then the particle of diffusion node is done diffusion motion, and at this moment, this motion keeps the population conservation, and when diffusion node had granule for absorbing, this particle was static.Diffusion motion mainly is divided into two kinds of situations.

When the expanding node does not have the adsorb organic compound particle, particle will be done free diffusion motion in cell, and then the state S (r, t+ Δ T) of t+ Δ T this cell of the moment is

S(r，t+ΔT)＝c ₁N ₂+c ₂N ₁+c ₃N ₄+c ₄N ₃+c ₅N ₆+c ₆N ₅ (12)

When diffusion node had the adsorb organic compound particle, the granule for absorbing of this node was static.If other diffusion node has particle, particle will be done free diffusion motion between other case.

2. reaction process

If t static node constantly has the microorganism particle, this microorganism particle has absorption, decomposes and the synthetic organic function of this cell internal diffusion node, also has the function of endogenous respiration simultaneously.The evolution rule of reaction process mainly is divided into following four rules.

The absorption rule: as microorganisms grow phase this moment increment＞0.8mg/L, the organic pollutant particle will be with probability P ₀By microorganism panning is adsorb organic compound, adsorption probability P ₀For:

${\mathrm{<figure-callout\; id="0"\; label="P"\; filenames="H2009102444345E00011.png"\; state="\{\{state\}\}">P</figure-callout>}}_0=\frac{-\mathrm{\&Delta;S}}{\mathrm{SP}}---\left(13\right)$

P＝P ₁₁P ₂₂ (14)

In the formula, organic concentration increasing amount in Δ S (asking) the expression Δ T, mg/L according to the dynamics of active sludge; S is a t organic concentration constantly, mg/L; P represents the constantly organic microorganism probability on every side that is distributed in of t; P ₁₁Expression t is the occupation probability of each case microorganism constantly; P ₂₂Organic occupation probability on expression t each case of the moment.

The katabolism rule: this process provides energy for anabolism.When microorganisms grow phase this moment increment＞0.8mg/L, and anabolism is not when having energy, and each adsorb organic compound particle will be with probability P ₁Become gas, water and energy by microbiological degradation.Per minute is separated the energy of an organism particle, can be for synthetic two the microorganism particles (based on the Mckinney model) of microorganism.Decompose probability P ₁For:

In the formula, P ₀' expression t-Δ T is the organic pollutant adsorption probability constantly.

The anabolism rule: this process consumed energy is the microorganisms grow stage.As microorganisms grow phase this moment increment＞0.8mg/L, and cell is when having energy, and each adsorb organic compound particle will be with probability P ₂By the synthetic generation of microorganism microorganism, and compound probability P ₂For:

In the formula, P ₀' expression t-Δ T is the organic pollutant adsorption probability constantly.

Endogenous respiration rule:, enter the endogenous respiration stage as microorganisms grow phase increment＜=0.8mg/L.In this stage, each generates microorganism with probability P ₃Be oxidized to gas, water and energy by the active sludge microorganism endogenous respiration, the energy of generation is used for the activity of earning a bare living.The endogenous respiration probability is:

${\mathrm{<figure-callout\; id="3"\; label="P"\; filenames="H2009102444345E00011.png"\; state="\{\{state\}\}">P</figure-callout>}}_3=\frac{-\mathrm{\&Delta;X}}{\mathrm{\&Delta;}{X}^{\&prime;}{P}^{\&prime;}}---\left(17\right)$

P′＝P ₁₁P ₂₂′(18)

In the formula, the concentration increasing amount of microorganism in Δ X (asking) the expression Δ T, mg/L according to the dynamics of active sludge; Δ X ' expression t generates the concentration of microorganism, mg/L constantly; P ' expression t generates the probability of microbial profile around microorganism constantly; P ₁₁Expression t is the occupation probability of each case microorganism constantly; P ₂₂Generate the occupation probability of microorganism on ' expression t each case of the moment

3. settling process

When the endogenous respiration effect weakens gradually (is that microorganism reduces phase reduction＜=0.5mg/L), stop aeration.Microorganism and the organism that is adsorbed carry out sedimentation owing to be subjected to the effect of gravity; The organism that small portion is not degraded, gas and water will still swim in the water body.The organism sinking that the sedimentation rule is followed microorganism and is adsorbed, the organism that is not adsorbed, gas and waterborne floating.

Each cell in the space develops in time according to above-mentioned rule, loop iteration repeatedly, the result that each timed interval develops is as next initial state that develops constantly, and final organic pollutant is adsorbed metabolism, flocculating settling by active sludge microorganism, realizes sewage purification.

Among Fig. 2, white particles is represented organic pollutant, and black particles is represented microorganism.This evolutionary process has showed that mainly organic pollutant is by the process of active sludge microorganism picked-up, metabolism and utilization and settling process.Fig. 2 (a) expression initial time organism and microorganism are evenly distributed in the aeration tank.As can be seen, organism is in continuous minimizing from Fig. 2 (a)～2 (e), and microorganism is in continuous increase.This organic pollutant that shows that microorganism constantly absorbs in the waste water from its surrounding environment is absorbed, is absorbed as nutrition.By a part of oxidized stable inorganic substance that resolve into of organism that microorganism is taken in, a part is synthesized new cellular material.As can be seen, microorganism reduces from Fig. 2 (e)～2 (f), and this shows that the nutritive substance of microorganism is fewer and feweri along with the continuous minimizing of organic concentration and the continuous increase of microorganism concn.Active sludge microorganism is owing to can not get the sufficient nutrient material, and beginning utilizes material or the decline thalline stored in self to carry out endogenous respiration with the activity of earning a bare living in large quantities.From Fig. 2 (f)～2 (h) as can be seen, microorganism and be adsorbed organism and begin sedimentation.This shows that along with endogenous respiration weakens gradually, the decrease of microorganism does not have considerable change, stops aeration, microorganism and be adsorbed organism and begin sedimentation under the effect of gravity.

2. curve is the growth curve of cellular automaton mimic microorganism among Fig. 3, and 1. curve is the growth curve of the microorganism of Eckenfelder model under the same terms.From curve 2. as can be seen, in the starting stage, the amount of active sludge does not increase, show this stage mainly to be adsorbed as the master, entered the deceleration increment stage of microorganism subsequently, along with the minimizing of organic concentration, the increment speed of microorganism is more and more littler, corresponding to Fig. 2 (b)～2 (d); Microorganism has entered stationary phase and endogenous respiration phase afterwards, shows nutritive substance stationary phase totally, and microorganism increment speed is almost 0, corresponding to Fig. 2 (d)～2 (e); The endogenous respiration phase shows that owing to the endogenous respiration effect, the active sludge microorganism amount reduces, corresponding to Fig. 2 (e)～2 (f).As can be seen from the figure, the simulation curve of cellular automaton has been simulated propagation phase, stationary phase and the decline phase of active sludge growth pattern curve well, with the modeling curve basically identical of Eckenfelder model in theory, has verified its validity.

Claims (4)

1. based on the visual simulation method for sewage purification process of cellular automata model, it is characterized in that may further comprise the steps:

(1) design cellularstructure

Adopt three-dimensional Lattice Gas cellular automata model, the cellularstructure of cellular automaton is represented by cubes, cubical center node is expressed as the static node of cell, the center node of cubical six faces is expressed as the diffusion node of cell, and the three-dimensional network that cubes is formed is represented the reaction compartment of particle; The state of cell is by the STA representation of node, and there is the expression particle that responds in the existence of the STA representation particle of each node or do not exist, and does not have the no particle of expression;

(2) determine particle state

The diffusion node particle state is organic pollutant, adsorb organic compound, generation microorganism, four kinds of states of gas; Static node particle state is microorganism, gas two states;

Organic pollutant has free diffusion function; Adsorb organic compound is an immobilized; Generate microorganism and do not have absorption and metabolic function, can freely spread; Microorganism has the function of metabolism and absorption;

(3) set up model

As container, the cubes of n * n * n is as (the m＞=n) of sewage reaction compartment in the container with the rectangular parallelepiped of n * n * m for this model; The sewage reaction compartment is divided into the static node of L * L * L node as initial model, because each cell has only a static node, so the number that static node number also is a cell; (L+1) * (L+1) * (L+1) individual node is as the diffusion node of initial model, and L is an integer;

(4) init state of setting model

Above-mentioned model has only microorganism and organic pollutant two states at initial time; Microbial profile is at static node, and organic pollutant is distributed on the diffusion node, and the state of considering is the randomness that has to a certain degree, the initial time state occurs with probability a at node, or does not occur with probability 1-a, and (0-1) that promptly obey on the probability distributes, wherein, 0＜a＜1;

(5) design evolution rule

The model evolution rule mainly comprises three processes: diffusion process, reaction process, settling process.

2. the visual simulation method for sewage purification process based on cellular automata model according to claim 1 is characterized in that described diffusion process, and promptly static node does not have the evolutionary process of microorganism particle, and this process mainly is divided into two kinds of situations;

When the expanding node does not have the adsorb organic compound particle, next moment particle will be done free diffusion motion by momentum conservation and population conservation in cell;

When diffusion node had the adsorb organic compound particle, the granule for absorbing of this node was static; If other diffusion node has particle, particle will be done free diffusion motion between other case.

3. the visual simulation method for sewage purification process based on cellular automata model according to claim 1 is characterized in that described reaction process, and promptly static node has the evolutionary process of microorganism particle, and this process is divided into following four rules;

Absorption rule: when microorganisms grow phase increment＞0.8mg/L, the organic pollutant particle will be with probability P ₀Adsorbed adsorption probability P by microorganism ₀For:

$P_0=\frac{-\mathrm{\&Delta;S}}{\mathrm{SP}}---\left(1\right)$

P＝P ₁₁P ₂₂ (2)

In the formula, organic concentration increasing amount in Δ S (asking) the expression Δ T, mg/L according to the dynamics of active sludge; S is a t organic concentration constantly, mg/L; P represents the constantly organic microorganism probability on every side that is distributed in of t; P ₁₁Expression t is the occupation probability of each case microorganism constantly; P ₂₂Organic occupation probability on expression t each case of the moment;

The katabolism rule: as microorganisms grow phase increment＞0.8mg/L, and anabolism is not when having energy, and each adsorb organic compound particle is with probability P ₁Become CO by microbiological degradation ₂, water and energy, decompose probability P ₁For:

In the formula, P ' ₀Expression t-Δ T is the organic pollutant adsorption probability constantly;

The anabolism rule: as microorganisms grow phase increment＞0.8mg/L, and cell is when having energy, and each adsorb organic compound particle is with probability P ₂By synthetic microorganism, the compound probability P of generating of microorganism ₂For:

In the formula, P ' ₀Expression t-Δ T is the organic pollutant adsorption probability constantly;

The endogenous respiration rule: when microorganisms grow phase increment＜=0.8mg/L, each generates microorganism with probability P ₃Become CO by microbiological degradation ₂, water and energy, the endogenous respiration probability P ₃For:

$P_3=\frac{-\mathrm{\&Delta;X}}{\mathrm{\&Delta;}{X}^{\&prime;}{P}^{\&prime;}}---\left(5\right)$

P′＝P ₁₁P′ ₂₂ (6)

In the formula, the concentration increasing amount of microorganism in Δ X (asking) the expression Δ T, mg/L according to the dynamics of active sludge; Δ X ' expression t generates the concentration of microorganism, mg/L constantly; P ' expression t generates the probability of microbial profile around microorganism constantly; P ₁₁Expression t is the occupation probability of each case microorganism constantly; P ' ₂₂Generate the occupation probability of microorganism on expression t each case of the moment.

4. the visual simulation method for sewage purification process based on cellular automata model according to claim 1, it is characterized in that described settling process, as reduction＜=0.5mg/L of microorganism, microorganism and adsorb organic compound sedimentation, the organism that is not adsorbed, gas and waterborne floating.

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