CN110543979A - Prediction selection method for village farmer sewage lift pump - Google Patents
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Abstract
The invention provides a village farmer sewage lift pump prediction selection method, which comprises the steps of obtaining N years of sewage treatment capacity data information of a village sewage treatment pool unified treatment system, and calculating the average value of sewage volumes treated by the same time sequence on the same date every year; acquiring local N-year rainfall data information of villages, calculating the average value of the rainfall volumes entering the village falling water treatment tanks in the same date and time sequence of the village falling water treatment tank unified treatment system every year, and calculating the actual sewage volume generated in the villages treated by the village falling water treatment tanks in the same date and time sequence; calculating the average value of the daily sewage volume of each household in the village according to the number of the households in the village; and selecting the sewage lifting pump with the corresponding model according to the average value.
Description
Technical Field
The invention relates to the technical field of sewage treatment. More specifically, the invention relates to a village farmer sewage lift pump prediction selection method.
background
The new rural construction is the construction of the rural areas in the aspects of economy, politics, culture, society and the like, and finally achieves the aim of changing the rural construction into a new rural area with the advantages of economic prosperity, perfect facilities, beautiful environment and civilization harmony. The countryside is neat and tidy, is a window for showing new appearances of the countryside, and the new countryside is presented in front of people, and is supposed to be a scene that dirty, messy and bad conditions are fundamentally treated, the living environment of people is obviously improved, and farmers live in peaceful and happy industries. In order to improve the rural environment, the construction and development of the fallen water treatment tank in villages and towns in China are rapid in recent years, but because the rural peasant households are small in size and dispersed in residence, the capacity of sewage treatment equipment is not easy to predict, and certain sewage treatment equipment cannot meet the current requirements or exceeds the current requirements.
Disclosure of Invention
in view of the above, the present invention provides a method for predicting and selecting a village farmer sewage lift pump, which solves or partially solves the above problems, and provides data support for selecting a sewage lift pump.
The invention provides a village farmer sewage lift pump prediction selection method, which comprises the following steps of:
Acquiring data information of N years of sewage treatment capacity of the village falling water treatment pool unified treatment system, wherein N is a natural number, the year is taken as a dimension, counting the volume of sewage treated by the village falling water treatment pool in time unit,
acquiring the number of households in a village and recording as x, wherein x is a natural number, establishing the relationship between the volume of sewage generated in the village and the volume of sewage generated by the x households in the village, counting the number y of people corresponding to the x households, wherein y and y are natural numbers, determining the number w of devices generating sewage when each household is at home every day, wherein w is a natural number, and calculating the total time T of each household when the household is at home;
Dividing each day into p time series, wherein p is a positive integer, establishing a matrix of the sewage volumes treated by the village sewage treatment tanks, and marking the matrix as H11, H21, …, Hp1, H12, H22, …, Hp2, H1q, H2q, … and Hpq are the sewage volumes treated by the 1 st time series to the p th time series of the 1 st day to the q day respectively, q is a positive integer, weighting the sewage volumes treated by the same time series on the same date in N years to form a matrix of the total treated sewage volumes, and marking the matrix as the weighted sum of the sewage volumes treated by the 1 st time series to the p th time series of the 1 st day to the q day in N years respectively, the weighted weight is determined according to the sewage quantity treated by the uniform treatment system of the village sewage treatment pool every year, and a matrix of the average value of the sewage volumes treated by the same time sequence on the same date every year is calculated and recorded as the average value of the sewage volumes treated by the 1 st time sequence on the 1 st day to the p th time sequence on the q th day respectively;
acquiring N years of rainfall data information of the village local, taking the year as a dimension, counting the rainfall volume entering a village falling water treatment pool in each time sequence of the village local, wherein the rainfall volume is recorded as [ V1, V2, …, Vn ], V1, V2, …, and Vn is the 1 st, 2.
Dividing the precipitation volume entering a village falling water treatment pool in a village per hour into m precipitation volume intervals, wherein m is an integer, and the m precipitation volume intervals are divided by the following formula: epsilon is the sampling interval;
Calculating the value of the precipitation volume at the endpoint of each precipitation volume interval in m precipitation volume intervals, wherein the calculation formula is i belongs to [1,2, …, m ], i is a real number, the Vi end represents the value of the precipitation volume at the endpoint of the ith precipitation volume interval in the m precipitation volume intervals, and the value range of the value Vi of the precipitation volume in the ith precipitation volume interval is the value of the precipitation volume at the endpoint of the (i-1) th precipitation volume interval in the m precipitation volume intervals;
Let Vj belong to [ V1, V2, …, Vn ], Vj is the value of precipitation volume entering the village falling water treatment pool in any time sequence of precipitation volume, and then, the corrected Vj is the Vi end;
according to the corrected time series of the precipitation volume, a matrix of time series values of the precipitation volume entering the village falling water treatment pool of the annual village falling water treatment pool unified treatment system is constructed, each day is divided into p time series, the precipitation volume entering the village falling water treatment pool on the same date and time series of N years is weighted to form a matrix of total precipitation volume, the weighted weight is determined according to the precipitation volume entering the village local each year, V11, V21, …, Vp1, V12, V22, V …, Vp2, V1q, V2q, … and Vpq are respectively the sum of the precipitation volume entering the village falling water treatment pool on the 1 st day to the qth day, then the average value of the precipitation volume entering the village falling water treatment pool on the same date and time series of each year is calculated, and is respectively the average value of the precipitation volume entering the village falling water treatment pool on the 1 st day to qth day of the 1 st day Average value of volume of the amount;
calculating the volumes of sewage generated in villages treated by the village sewage treatment ponds on the same date and time series, and recording the volumes as I, I11, I21, …, Ip1, I12, I22, …, Ip2, I1q, I2q, … and Ipq of sewage generated in villages treated by the village water treatment ponds from the 1 st time series to the qth time series on the 1 st day;
acquiring the number of households in a village as x, wherein x is a natural number, establishing a relationship between the volume of sewage generated in the village and the volume of sewage generated by x households in the village, wherein I is alpha 1S1+ alpha 2S2+ … + alpha xSx, S1 and S2 … Sx are matrices of the volumes of sewage generated by 1 st to x households in the village according to time sequences, alpha 1, alpha 2, … and alpha x are respectively generated according to the number y of people corresponding to the x households, the time T when each household is at home every day and the number w of devices generating sewage, and by calculating the time sum T of each household at home, inputting the values of y, T and w of each household and distributing the values of alpha 1, alpha 2, … and alpha x, wherein the calculation formula for generating the volume of sewage by the time sequence of the nth household on the nth day of the xth household in the village is that Vl is a pre-estimated value of the volume generated by the ith device in the nth device on the nth day of the nth day, u, v, and l is a natural number, v is the value of the sewage volume generated by each person every day, y is the value of the number of people who are at home in the nth time sequence on the nth day, the value of the sewage volume generated by the xth user is calculated, the average value of the sewage volume generated by the xth user every day is recorded, and finally the average value of the sewage volume generated by each user every day is used for judging and selecting the sewage lifting pump with the corresponding model.
Detailed Description
in order to make the technical problems, technical steps and advantageous effects of the present invention more apparent, the present invention will be described in detail with reference to the following embodiments. It should be noted that the specific embodiments described herein are only for illustrating the present invention and are not to be construed as limiting the present invention, and products that can achieve the same functions are included in the scope of the present invention. The specific method comprises the following steps: a village farmer sewage lift pump prediction selection method comprises the following steps:
step one, acquiring the sewage treatment capacity data information of the village falling water treatment tank unified treatment system for N years, wherein N is more than or equal to 3, taking the year as a dimension, counting the volume of sewage treated by the village down water treatment tank per hour, dividing the water into p time series every day, establishing a sewage volume time series matrix treated by the village down water treatment tank, wherein Hpq represents the sewage volume treated by the p time series of the q day, weighting and summing the sewage volumes treated by the same time series of the same date of N years to form a total treated sewage volume matrix, which is the weighted sum of the sewage volumes treated by the p time series of the q day in N years, the weight is determined according to the sewage amount treated by the unified treatment system of the village falling water treatment tanks every year, and the average value of the sewage volumes treated by the same time sequence on the same date every year is calculated and recorded as the average value of the sewage volumes treated by the p-th time sequence on the q-th day;
Acquiring N years of precipitation data information of the local villages, wherein N is more than or equal to 3, taking the year as a dimension, and counting the precipitation volume of each time sequence of the local villages entering the village effluent treatment tank, wherein the precipitation volume is marked as [ V1, V2, …, Vn ], V1, V2, … and Vn are the precipitation volumes of the 1 st, 2. and. N time sequences entering the village effluent treatment tank respectively;
Dividing the precipitation volume of each local village time sequence entering the village falling water treatment tank into m precipitation volume intervals, wherein the division formula of the m precipitation volume intervals is as follows: vmax is the maximum precipitation volume entering the falling water treatment tank in the precipitation volume time sequence, Vmin is the minimum precipitation volume entering the falling water treatment tank in the precipitation volume time sequence, and epsilon is a sampling interval;
calculating the precipitation volume value at the endpoint of each precipitation volume interval in m precipitation volume intervals, wherein the calculation formula is i belongs to [1,2, …, m ], the Vi end represents the precipitation volume value at the endpoint of the ith precipitation volume interval in the m precipitation volume intervals, and the value range of the precipitation volume value Vi positioned in the ith precipitation volume interval is
Making Vj belong to [ V1, V2, …, Vn ], wherein Vj is the precipitation volume value entering the village falling water treatment tank in any precipitation volume time sequence, and then correcting Vj to be a Vi end;
according to the corrected precipitation volume time sequence, constructing a matrix of precipitation volume time sequence values of precipitation entering the village falling water treatment pool by the annual village falling water treatment pool unified treatment system, dividing each day into p time sequences, weighting precipitation volumes entering the village falling water treatment pool on the same date and the same time sequence of N years to form a total precipitation volume matrix, wherein Vpq is the sum of the precipitation volumes entering the village falling water treatment pool on the p-th time sequence on the q-th day, weight is determined according to the local precipitation of each year, and then calculating the average value of the precipitation volumes entering the village falling water treatment pool on the same date and the same time sequence of the annual village falling water treatment pool unified treatment system, and the average value of the precipitation volumes entering the village falling water treatment pool on the p-th time sequence on the q-th day;
Calculating the volume of sewage generated in villages processed by village sewage treatment tanks in the same time sequence on the same date, and recording the volume as I, wherein Ipq is the volume of sewage generated in villages processed by a p time sequence on the qth day;
step three, acquiring the number of households in the village as X, establishing a relation between the volume of sewage generated in the village and the volume of sewage generated by X households in the village, wherein I is alpha 1X1+ alpha 2X2+ … + alpha xXx, Xx is a matrix of the volume of sewage generated by the X household in the village according to a time sequence and is marked as alpha 1, alpha 2, …, alpha X is determined according to the number y corresponding to the X household, the time T when each household is at home every day and the number w of devices generating sewage, the time sum T of each household at home is calculated, the y, T and w values of each household are input, alpha 1, alpha 2, … and alpha X values are distributed, wherein a calculation formula for generating the volume of sewage by the time sequence of the ith day V of the X household in the village is that Vl is the first device in the ith day V time sequence w devices generating a sewage volume pre-estimated value, V is the volume value generated by each person every day, y is the numerical value of the ith day at home, calculating the volume value of the sewage generated by the xth household on the u day, recording as the average value of the volume of the sewage generated by the xth household every day, and recording as the average value
and step four, selecting a sewage lifting pump with a corresponding model according to the average value of the sewage volume generated by each household every day.
example two: in rural areas, the discharge amount of each household needs to be strictly limited according to the number of people, so the invention needs to acquire the sewage treatment amount data information of the village falling water treatment pool uniform treatment system for N years, wherein N is a natural number, the dimension of the village falling water treatment pool is taken as the dimension, the volume of sewage treated by the village falling water treatment pool in time unit is counted,
Acquiring the number of households in a village and recording the number as x, wherein x is a natural number, establishing the relationship between the volume of sewage generated in the village and the volume of sewage generated by the x households in the village, calculating the number y and y of people corresponding to the x households as natural numbers, determining the number w of devices generating sewage at the moment T when each household is at home every day, wherein w is a natural number, and calculating the total time T of each household when the household is at home;
Dividing each day into p time series, wherein p is an integer, establishing a time series matrix of the volume of sewage treated by the village sewage treatment tanks, and marking the time series matrix as H11, H21, …, Hp1, H12, H22, …, Hp2, H1q, H2q, … and Hpq are the volumes of sewage treated by the 1 st time series of the 1 st day to the p th time series of the q day respectively, q is an integer, weighting the volumes of sewage treated by the same time series on the same date in N years to form a total treated sewage volume matrix, and marking the weighted sum of the volumes of sewage treated by N years of the p time series from the 1 st time series of the 1 st day to the q day respectively, the weight is determined according to the sewage amount treated by the unified treatment system of the village falling water treatment tanks every year, and the average value of the sewage volumes treated by the same time sequence on the same date every year is calculated and recorded as the average value of the sewage volumes treated by the 1 st time sequence on the 1 st day to the p th time sequence on the q th day;
Acquiring N years of rainfall data information of the village local, taking the year as a dimension, counting the rainfall volume entering a village falling water treatment pool in each time sequence of the village local, wherein the rainfall volume is recorded as [ V1, V2, …, Vn ], V1, V2, …, and Vn is the 1 st, 2.
dividing the precipitation volume entering a village falling water treatment pool in a village per hour into m precipitation volume intervals, wherein m is an integer, and the m precipitation volume intervals are divided by the following formula: epsilon is the sampling interval;
calculating the value of the precipitation volume at the endpoint of each precipitation volume interval in m precipitation volume intervals, wherein the calculation formula is i belongs to [1,2, …, m ], i is a real number, the Vi end represents the value of the precipitation volume at the endpoint of the ith precipitation volume interval in the m precipitation volume intervals, and the value range of the value Vi of the precipitation volume in the ith precipitation volume interval is the value of the precipitation volume at the endpoint of the (i-1) th precipitation volume interval in the m precipitation volume intervals; let Vj belong to [ V1, V2, …, Vn ], Vj is the value of precipitation volume entering the village falling water treatment pool in any time sequence of precipitation volume, and then, the corrected Vj is the Vi end; according to the corrected time series of the precipitation volume, a matrix of time series values of precipitation volume entering the village falling water treatment pool of the annual village falling water treatment pool unified treatment system is constructed, each day is divided into p time series, precipitation volume entering the village falling water treatment pool on the same date and time series of N years is weighted to form a matrix of total precipitation volume, the matrix is recorded as V11, V21, …, Vp1, V12, V22, …, Vp2, V1q, V2q, … and Vpq are respectively the sum of precipitation volume entering the village falling water treatment pool on the 1 st day to the qth day of the 1 st day, weight is determined according to the precipitation volume of the village falling local place, and then the average value of precipitation volume entering the village falling water treatment pool on the same date and time series of each year is calculated and recorded as the average value of precipitation volume entering the village falling water treatment pool on the 1 st day to qth day of the 1 st day of the village falling water treatment pool The average of the products; calculating the volumes of sewage generated in villages treated by the village sewage treatment ponds on the same date and time series, and recording the volumes as I, I11, I21, …, Ip1, I12, I22, …, Ip2, I1q, I2q, … and Ipq of sewage generated in villages treated by the village water treatment ponds from the 1 st time series to the qth time series on the 1 st day;
acquiring the number of households in a village as x, wherein x is a natural number, establishing a relationship between the volume of sewage generated in the village and the volume of sewage generated by x households in the village, wherein I is alpha 1S1+ alpha 2S2+ … + alpha xSx, S1 and S2 … Sx are matrices of the volumes of sewage generated by 1 st to x households in the village according to time sequences, alpha 1, alpha 2, … and alpha x are respectively calculated according to the number y of people corresponding to the x households, the time T of each household when each household is at home every day and the number w of devices generating sewage, the time sum T of each household at home is calculated, the values of y, T and w of each household are input, and the values of alpha 1, alpha 2, … and alpha x are distributed, wherein the calculation formula for generating the volume of sewage by the time sequence of the ith day of the xth household in the village is that Vl is a pre-estimated value of the volume of sewage generated by the ith device in the time sequence w of the ith day of the jth day, and u, v, and l is a natural number, v is the value of the sewage volume generated by each person every day, y is the value of the number of people who are at home in the nth time sequence on the nth day, the value of the sewage volume generated by the xth family is calculated, the average value of the sewage volume generated by the xth family is recorded, and finally the sewage lifting pump with the corresponding model is selected according to the average value of the sewage volume generated by each family every day
The above description is only for the preferred embodiment of the present invention, and should not be used to limit the scope of the claims of the present invention. While the foregoing description will be understood and appreciated by those skilled in the relevant art, other equivalents may be made thereto without departing from the scope of the claims.
has the advantages that: according to the method, the actual sewage volume generated by village farmers is obtained by establishing a calculation method for the actual sewage volume generated by village farmers; according to the method, the volume of the sewage generated by each farmer every day is calculated according to the volume of the sewage actually generated by the village farmer, the requirement of each farmer on the type of the sewage lifting pump is estimated, the equipment requirement is scientifically estimated, and the equipment cost is saved. Additional advantages, objects, and features of the invention will be set forth in part in the description which follows and in part will become apparent to those having ordinary skill in the art upon examination of the following or may be learned from practice of the invention.
Claims (1)
1. A village farmer sewage lift pump prediction selection method is characterized by comprising the following steps: acquiring data information of N years of sewage treatment capacity of the village falling water treatment pool unified treatment system, wherein N is a natural number, and the year is taken as a dimension, and counting the volume of sewage treated by the village falling water treatment pool in time unit; acquiring the number of households in a village and recording as x, wherein x is a natural number, establishing a relation between the volume of sewage generated in the village and the volume of sewage generated by the x households in the village, counting the number y of people corresponding to the x households and the number y of people corresponding to the x households, wherein w is a natural number, determining the number w of devices generating sewage, and calculating the time T when each household is at home every day and the time sum T when each household is at home; dividing each day into p time series, wherein p is a positive integer, establishing a matrix of the sewage volumes treated by the village sewage treatment tanks, and marking the matrix as H11, H21, …, Hp1, H12, H22, …, Hp2, H1q, H2q, … and Hpq are the sewage volumes treated by the 1 st time series to the p th time series of the 1 st day to the q day respectively, q is a positive integer, weighting the sewage volumes treated by the same time series on the same date in N years to form a matrix of the total treated sewage volumes, and marking the matrix as the weighted sum of the sewage volumes treated by the 1 st time series to the p th time series of the 1 st day to the q day in N years respectively, the weighted weight is determined according to the sewage quantity treated by the uniform treatment system of the village sewage treatment pool every year, and a matrix of the average value of the sewage volumes treated by the same time sequence on the same date every year is calculated and recorded as the average value of the sewage volumes treated by the 1 st time sequence on the 1 st day to the p th time sequence on the q th day respectively; acquiring N years of rainfall data information of the village local, taking the year as a dimension, counting the rainfall volume entering a village falling water treatment pool in each time sequence of the village local, wherein the rainfall volume is recorded as [ V1, V2, …, Vn ], V1, V2, …, and Vn is the 1 st, 2. Dividing the precipitation volume entering a village falling water treatment pool in a village per hour into m precipitation volume intervals, wherein m is an integer, and the m precipitation volume intervals are divided by the following formula: epsilon is the sampling interval; calculating the value of the precipitation volume at the endpoint of each precipitation volume interval in m precipitation volume intervals, wherein the calculation formula is i belongs to [1,2, …, m ], i is a real number, the Vi end represents the value of the precipitation volume at the endpoint of the ith precipitation volume interval in the m precipitation volume intervals, and the value range of the value Vi of the precipitation volume in the ith precipitation volume interval is the value of the precipitation volume at the endpoint of the (i-1) th precipitation volume interval in the m precipitation volume intervals; let Vj belong to [ V1, V2, …, Vn ], Vj is the value of precipitation volume entering the village falling water treatment pool in any time sequence of precipitation volume, and then, the corrected Vj is the Vi end; according to the corrected time series of the precipitation volume, a matrix of time series values of the precipitation volume entering the village falling water treatment pool of the annual village falling water treatment pool unified treatment system is constructed, each day is divided into p time series, the precipitation volume entering the village falling water treatment pool on the same date and time series of N years is weighted to form a matrix of total precipitation volume, the weighted weight is determined according to the precipitation volume entering the village local each year, V11, V21, …, Vp1, V12, V22, V …, Vp2, V1q, V2q, … and Vpq are respectively the sum of the precipitation volume entering the village falling water treatment pool on the 1 st day to the qth day, then the average value of the precipitation volume entering the village falling water treatment pool on the same date and time series of each year is calculated, and is respectively the average value of the precipitation volume entering the village falling water treatment pool on the 1 st day to qth day of the 1 st day Average value of volume of the amount; calculating the volumes of sewage generated in villages treated by the village sewage treatment ponds on the same date and time series, and recording the volumes as I, I11, I21, …, Ip1, I12, I22, …, Ip2, I1q, I2q, … and Ipq of sewage generated in villages treated by the village water treatment ponds from the 1 st time series to the qth time series on the 1 st day; obtaining the number of households in a village as x, wherein x is a natural number, establishing a relationship between the volume of sewage generated in the village and the volume of sewage generated by x households in the village, wherein I is alpha 1S1+ alpha 2S2+ … + alpha xSx, S1 and S2 … Sx are matrices of the volumes of sewage generated by 1 st household to x th household in the village according to time sequences, alpha 1, alpha 2, … and alpha x are respectively used for inputting the values of y, T and w of each household and distributing the values of alpha 1, alpha 2, … and alpha x according to the number y of people corresponding to x households, the time T of each household at every day when each household is at home and the number w of devices generating sewage, wherein a calculation formula for generating the volume of sewage by the time sequence of the nth household on the nth day of the xth household in the village is that Vl is a predicted value of the volume generated by the ith device on the nth day of w, u, V, and l is a natural number of sewage generated by each person per day, and y is the number of people in the family of the nth time sequence on the u th day, the value of the volume of the sewage generated by the u th day of the xth family is calculated, the value is recorded as the average value of the volumes of the sewage generated by the xth family every day, and finally the value is recorded as the average value of the volumes of the sewage generated by each family every day and is used for judging and selecting the sewage lifting pump with the corresponding model.
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