FIELD: water removal.
SUBSTANCE: method consists in allocating its characteristics for the mentioned random process, building a mathematical model for the random process under investigation in accordance with a priori information about it, and then loading the constructed mathematical model into the memory of the processor unit. As a mathematical model, a probabilistic-statistical model of changing the states of a system is taken, and as a characteristic of a non-stationary random process, the probabilities of transitions from the current state to the next are taken. At the first stage, additional statistical information is accumulated on the change over time of wastewater discharges from the combined water disposal system, and on basis thereof the minimum qmin and maximum qmax wastewater discharge values are determined. Interval of discharges [qmin, qmax] is divided into sections-intervals with a step of Δq and a finite set of values of increasing real numbers is formed R1=[q1, … qi-1, qi, qi+1, …, qn1], where q1=qmin, qn1=qmax, qi+1-qi=Δq, a lot of natural N1 system state numbers is formed N1=[1, 2, … i-1, i, i+1, …, n1], the elements of which are the ordinal numbers of the set R1, based on the analysis of statistical information, the transition frequency wi, j is determined from the current i-th state to the next j-th state in the form of matrices W1(t) transition frequencies for cases of increasing inflow at the previous (t-1)th hour of the day, t=[1, 2, …, 24]; i=1, 2, …, n1; j=1, 2, …, n1; matrices W2(t) transition frequencies for cases of decreasing inflow at the previous (t-1)th hour of the day, t=[1, 2, …, 24]; i=1, 2, …, n1; j=1, 2, …, n1; approximation analysis of transition frequencies wi, j is carried out and the functional dependence for the probability density of transitions ƒ(j) is determined from the current i-th state to the next j-th state in the form: of dependency relation for cases of increasing inflows at the previous (t-1)th hour of the day, of dependency relation for cases of decreasing inflow at the previous (t-1)th hour of the day, at an additional stage with the use of the constructed probabilistic-statistical model of the change in the system states, a random process of wastewater discharges coming from the combined water disposal system is generated. At each generation step, an hour t days is fixed, the direction of change of the mentioned discharges at the previous (t-1)th hour of the day, and if an increase in inflow is recorded, then the transition probabilities Pi, j from the current i-th state to the next j-th state is defined as and if the decrease of the mentioned discharges is fixed at (t-1)th hour of the day, then the transition probabilities Pi, j is defined as transfer to other states in accordance with the chosen transition probabilities Pi, j.
EFFECT: provides expansion of functionality.
1 cl, 7 dwg
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Authors
Dates
2019-04-23—Published
2018-01-18—Filed