CN113551295B - Daily water consumption subsection periodic adjustment method based on outdoor air temperature and water consumption - Google Patents

Daily water consumption subsection periodic adjustment method based on outdoor air temperature and water consumption Download PDF

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CN113551295B
CN113551295B CN202110659799.5A CN202110659799A CN113551295B CN 113551295 B CN113551295 B CN 113551295B CN 202110659799 A CN202110659799 A CN 202110659799A CN 113551295 B CN113551295 B CN 113551295B
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quarter
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CN113551295A (en
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高志明
余华明
陈城
何钦波
吴治将
徐言生
孙婉纯
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Shunde Polytechnic
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    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
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    • G06F17/14—Fourier, Walsh or analogous domain transformations, e.g. Laplace, Hilbert, Karhunen-Loeve, transforms
    • G06F17/141—Discrete Fourier transforms
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Abstract

The invention relates to a daily water consumption subsection periodicity adjusting method based on outdoor air temperature and water consumption, which is characterized by comprising the following steps: the first step, the cross-sectional area of an outdoor temperature and humidity sensor, a water tank liquid level sensor, a water supplementing and measuring meter and a water tank; second, the time length; thirdly, acquiring data; fourth, a model of daily water consumption and outdoor air temperature in a period, the number of water consumption and the use rate; fifthly, the water consumption changes with the quarter, the outdoor temperature, the number of people using water and the utilization rate of men and women; sixthly, a model of daily water consumption and outdoor air temperature in a period, and the number of people using water and the use rate; seventh, controlling the upper limit of daily water consumption; eighth step, dividing into S time periods; ninth step, calculate; Tenth, predicting the lower limit of the daily water consumption; and eleventh step, controlling daily water quantity. The system has the advantages that the accurate supply of the hot water of the domestic hot water system is realized and the energy is saved by controlling the periodic variation of the outdoor air temperature of the target water quantity and the daily water consumption of the number of people using the water.

Description

Daily water consumption subsection periodic adjustment method based on outdoor air temperature and water consumption
Technical Field
The invention relates to a daily water consumption subsection periodicity adjusting method based on outdoor air temperature and water consumption.
Background
In the running process of the existing domestic hot water system, in order to meet the requirement of users on water supply and water temperature, the target water level is always supplied with full scale or maximum water consumption, and a phenomenon that a large amount of hot water remains in the water storage tank occurs, so that heat is dissipated and wasted.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provide a daily water consumption sectional periodic adjustment method based on outdoor air temperature and water consumption, which realizes the accurate supply of hot water of a domestic hot water system and saves energy sources by controlling the periodic change of the outdoor air temperature of target water consumption and the daily water consumption of the water consumption.
In order to achieve the above object, the present invention is achieved by comprising the steps of:
First step
Installing an outdoor temperature and humidity sensor TH, a water tank liquid level sensor L and a water supplementing and measuring meter U, and measuring the cross section area S of the water tank;
Second step
(1) The method comprises the steps of respectively obtaining a daily initial liquid level H Initially, the method comprises ik and a daily end liquid level H Terminal (A) ik of a water tank in each quarter of spring, summer, autumn and winter through a water tank liquid level sensor L, obtaining a daily initial reading Q Initially, the method comprises ik and a daily end reading Q Terminal (A) ik through a water supplementing water meter, wherein k refers to the kth day of a complete year, k=1, 2,3, 365, i=1, 2,3,4, i is 1 time and represents spring, i is 2 time and summer, i is 3 time and represents autumn, and i is 4 time and represents winter;
(2) The daily water consumption of each quarter is calculated respectively, and V ik=S×（H Terminal (A) ik-H Initially, the method comprises ik）-（Q Terminal (A) ik-Q Initially, the method comprises ik is calculated;
(3) Calculating the daily water consumption time sequence of each complete quarter by adopting Fourier transformation to obtain the period of daily water consumption;
Wherein the method comprises the steps of In order to be of an angular frequency,As a function of the power spectrum,Daily water consumption time sequence for the ith complete quarter;
the Fourier transform shown in the above way separates the daily water consumption time sequence of a complete year into the sum of sine wave and cosine wave of various water consumption periods to obtain the corresponding amplitude of the sine wave and the cosine wave of different water consumption periods, and the water consumption period of the sine wave and the cosine wave with the largest amplitude is the time length j of the water consumption period of the building;
Third step
Acquiring the total daily water consumption number W ik of each quarter, the daily male water consumption number W Man's body ik of the whole year and the daily female water consumption number W Female ik of the whole year through daily records, wherein the daily male water consumption rate r Man's body ik=WMan's body ik/Wik and the daily female water consumption rate r Female ik=W Female ik/Wik are calculated by W Man's body ik+W Female ik=Wik;
Fourth step
The outdoor average temperature T Outdoor unit ik of each quarter of the spring, the summer, the autumn and the winter is respectively obtained through an outdoor temperature and humidity sensor TH; the daily water consumption V ik, the total daily water consumption W ik, the daily male water usage rate r Man's body ik, the daily female water usage rate r Female ik and the daily outdoor average temperature T Outdoor unit ik obtained in the fourth step are respectively classified to the corresponding jth days in the period according to the periodicity to obtain the daily water consumption V iuj, the outdoor average temperature T Outdoor unit iuj、, the total daily water consumption W iuj, the daily male water usage rate r Man's body iuj and the daily female water usage rate r Female iuj in the jth period; the u is the number of days corresponding to the j-th day in the period;
fifth step
The water consumption changes along with the change of the quarters, the outdoor temperature, the number of water consumption and the use ratio of men and women, a machine learning algorithm is adopted in a data driving mode, all data in the jth period of the ith quarter are selected, the relation V ij=f（T Outdoor unit ij,Wij,rMan's body ij,r Female ij between the daily water consumption and the outdoor temperature in each quarter period is established, T Outdoor unit iuj,Wiuj,rMan's body iuj,r Female iuj is taken as an input variable, V iuj is taken as an output variable, and a relation model of the jth daily water consumption V ij and the outdoor air temperature and the number of water consumption and the use ratio in the ith quarter period is established;
Sixth step
Outputting a relation model of daily water consumption and outdoor air temperature in each period in each quarter, and the number of water consumption and the use rate;
Vij
V1j=f（T Outdoor unit 1j,W1j,rMan's body 1j,r Female 1j）
V2j=f（T Outdoor unit 2j,W2j,rMan's body 2j,r Female 2j）
V3j=f（T Outdoor unit 3j,W3j,rMan's body 3j,r Female 3j）
V4j=f（T Outdoor unit 4j,W4j,rMan's body 4j,r Female 4j）
j=1，2，3，4…；
Seventh step
The upper limit of the daily water quantity is controlled; acquiring the total daily water consumption W Upper part ij on the j th day of the last period of the ith quarter, the daily male water consumption r On men ij, the daily female water consumption r Female upper part ij, the outdoor average temperature T Pre-preparation ij of the ith quarter of the second day of weather forecast, and predicting and calculating the second daily water consumption V Pre-preparation ij=f（T Pre-preparation ij,W Upper part ij,r On men ij,r Female upper part ij by using the model of the j th day of the periodicity of the ith quarter, wherein in order to prevent insufficient daily water consumption, a safety factor e is given for adjustment and setting, and the upper limit predicted value V Pre-preparation ij=e×f（T Pre-preparation ij,W Upper part ij,r On men ij,r Female upper part ij of the daily water consumption) e is set within the range of 1-1.5;
Eighth step
Dividing the j th day of each quarter into S time periods according to the actual water consumption condition, wherein S is an integer more than or equal to 1, g is an integer more than or equal to 1 in the middle time period; the initial average liquid level H Initially, the method comprises ijs of S time periods and the final average liquid level H Terminal (A) ijs of S time periods are obtained through a water tank liquid level sensor L, and initial average reading Q Initially, the method comprises ijs of each typical day and final average reading Q Terminal (A) ijs of each typical day are measured through a water supplementing water meter U;
Ninth step
Calculating the water consumption of S time periods, V ijs=S×（H Terminal (A) ijs-H Initially, the method comprises ijs）-（Q Terminal (A) ijs-Q Initially, the method comprises ijs);
By the formula Calculated outIs 0 < lambda s < 1, and lambda s≥λs+1,Setting the range of 1-1.1;
Tenth step
Predicting the time-interval lower limit of the daily water quantity, V Pre-preparation ijs=λs×V Pre-preparation ij;
eleventh step
The daily water amount is controlled by the daily water amount upper limit prediction V Pre-preparation ij and the daily water limit prediction V Pre-preparation ijs in each period.
Compared with the prior art, the invention has the advantages that: through the control of the periodic variation of the outdoor air temperature of the target water quantity and the daily water consumption of the number of people using water, the accurate supply of the hot water of the domestic hot water system is realized, and the energy is saved.
Drawings
FIG. 1 is a schematic diagram of a Fourier transform of the present invention for calculating a complete annual time series of daily water usage to obtain daily water usage.
Detailed Description
The following describes the embodiments of the present invention further with reference to the drawings. The description of these embodiments is provided to assist understanding of the present invention, but is not intended to limit the present invention. In addition, technical features of the embodiments of the present invention described below may be combined with each other as long as they do not collide with each other.
Example 1
The method for adjusting the daily water consumption sectionally and periodically based on the outdoor air temperature and the number of people using water comprises the following steps:
First step
Installing an outdoor temperature and humidity sensor TH, a water tank liquid level sensor L and a water supplementing and measuring meter U, and measuring the cross section area S of the water tank;
Second step
(1) The method comprises the steps of respectively obtaining a daily initial liquid level H Initially, the method comprises ik and a daily end liquid level H Terminal (A) ik of a water tank in each quarter of spring, summer, autumn and winter through a water tank liquid level sensor L, obtaining a daily initial reading Q Initially, the method comprises ik and a daily end reading Q Terminal (A) ik through a water supplementing water meter, wherein k refers to the kth day of a complete year, k=1, 2,3, 365, i=1, 2,3,4, i is 1 time and represents spring, i is 2 time and summer, i is 3 time and represents autumn, and i is 4 time and represents winter;
(2) The daily water consumption of each quarter is calculated respectively, and V ik=S×（H Terminal (A) ik-H Initially, the method comprises ik）-（Q Terminal (A) ik-Q Initially, the method comprises ik is calculated;
(3) Calculating the daily water consumption time sequence of each complete quarter by adopting Fourier transformation to obtain the period of daily water consumption;
Wherein the method comprises the steps of In order to be of an angular frequency,As a function of the power spectrum,Daily water consumption time sequence for the ith complete quarter;
the Fourier transform shown in the above way separates the daily water consumption time sequence of a complete year into the sum of sine wave and cosine wave of various water consumption periods to obtain the corresponding amplitude of the sine wave and the cosine wave of different water consumption periods, and the water consumption period of the sine wave and the cosine wave with the largest amplitude is the time length j of the water consumption period of the building;
Third step
Acquiring the total daily water consumption number W ik of each quarter, the daily male water consumption number W Man's body ik of the whole year and the daily female water consumption number W Female ik of the whole year through daily records, wherein the daily male water consumption rate r Man's body ik=WMan's body ik/Wik and the daily female water consumption rate r Female ik=W Female ik/Wik are calculated by W Man's body ik+W Female ik=Wik;
Fourth step
The outdoor average temperature T Outdoor unit ik of each quarter of the spring, the summer, the autumn and the winter is respectively obtained through an outdoor temperature and humidity sensor TH; the daily water consumption V ik, the total daily water consumption W ik, the daily male water usage rate r Man's body ik, the daily female water usage rate r Female ik and the daily outdoor average temperature T Outdoor unit ik obtained in the fourth step are respectively classified to the corresponding jth days in the period according to the periodicity to obtain the daily water consumption V iuj, the outdoor average temperature T Outdoor unit iuj、, the total daily water consumption W iuj, the daily male water usage rate r Man's body iuj and the daily female water usage rate r Female iuj in the jth period; the u is the number of days corresponding to the j-th day in the period;
For example: the cycle of spring of 1 st quarter is 7 days, belonging to the cycle of week, the daily outdoor average temperature T Outdoor unit 1u1, the total daily water consumption W 1u1, the daily male water consumption r Man's body 1u1, the daily female water consumption r Female 1 u1 and the daily water consumption V 1u1 of all week 1 of 1 st quarter are classified into week 1, the daily outdoor average temperature T Outdoor unit 1u2, the total daily water consumption W 1u2, the daily male water consumption r Man's body 1u2, the daily female water consumption r Female 1u2 and the daily water consumption V 1u2 are classified into week 2, the daily outdoor average temperature T 1u2, the total daily water consumption W 1u2, the daily male water consumption r 1u2, the female water consumption r 1u2 and the daily water consumption V 1u2 of all week 3 of spring of 1 quarter are classified into week 3, the daily outdoor average temperature T 1u2, the total daily water usage W 1u2, the daily male water usage r 1u2, the daily female water usage r 1u2 and the daily water usage V 1u2 for all weeks 4 in spring of the 1 st quarter are classified into week 4, the daily outdoor average temperature T 1u2, the total daily water usage W 1u2, the daily male water usage r 1u2, the daily female water usage r 1u2 and the daily water usage V 1u2 for all weeks 5 in spring of the 1 st quarter are classified into week 5, the daily outdoor average temperature T 1u2, the total daily water usage W 1u2 for all weeks 6 in spring of the 1 st quarter, the daily male water usage r 1u2, the daily female water usage r 1u2 and the daily water usage V 1u2 are classified into week 6, the daily outdoor average temperature T Outdoor unit 1u7, the total daily water usage W 1u7, the daily male water usage r Man's body 1u7, the daily female water usage r Female 1u7 and the daily water usage V 1u7 for all weeks 7 in spring of the 1 st quarter are classified to week 7;
fifth step
The water consumption changes along with the change of the quarters, the outdoor temperature, the number of water consumption and the use ratio of men and women, a machine learning algorithm is adopted in a data driving mode, all data in the jth period of the ith quarter are selected, the relation V ij=f（T Outdoor unit ij,Wij,rMan's body ij,r Female ij between the daily water consumption and the outdoor temperature in each quarter period is established, T Outdoor unit iuj,Wiuj,rMan's body iuj,r Female iuj is taken as an input variable, V iuj is taken as an output variable, and a relation model of the jth daily water consumption V ij and the outdoor air temperature and the number of water consumption and the use ratio in the ith quarter period is established;
Sixth step
Outputting a relation model of daily water consumption and outdoor air temperature in each period in each quarter, and the number of water consumption and the use rate;
Vij
V1j=f（T Outdoor unit 1j,W1j,rMan's body 1j,r Female 1j）
V2j=f（T Outdoor unit 2j,W2j,rMan's body 2j,r Female 2j）
V3j=f（T Outdoor unit 3j,W3j,rMan's body 3j,r Female k3j）
V4j=f（T Outdoor unit 4j,W4j,rMan's body 4j,r Female 4j）
J=1，2，3，4…；
When j=7, V ij =
V11=f（T Outdoor unit 11,W11,rMan's body 11,r Female 11）
V21=f（T Outdoor unit 21,W21,rMan's body 21,r Female 21）
V31=f（T Outdoor unit 31,W31,rMan's body 31,r Female k31）
V41=f（T Outdoor unit 41,W41,rMan's body 41,r Female 41）
…
V17=f（T Outdoor unit 17,W17,rMan's body 17,r Female 17）
V27=f（T Outdoor unit 27,W27,rMan's body 27,r Female 27）
V37=f（T Outdoor unit 37,W37,rMan's body 37,r Female 37）
V47=f（T Outdoor unit 47,W47,rMan's body 47,r Female 47）
Seventh step
The upper limit of the daily water quantity is controlled; acquiring the total daily water consumption W Upper part ij on the j th day of the last period of the ith quarter, the daily male water consumption r On men ij, the daily female water consumption r Female upper part ij, the outdoor average temperature T Pre-preparation ij of the ith quarter of the second day of weather forecast, and predicting and calculating the second daily water consumption V Pre-preparation ij=f（T Pre-preparation ij,W Upper part ij,r On men ij,r Female upper part ij by using the j th day water consumption model of the periodicity of the ith quarter, wherein in order to prevent insufficient daily water consumption, a safety factor e is given for adjustment and setting, and the upper limit predicted value V Pre-preparation ij=e×f（T Pre-preparation ij,W Upper part ij,r On men ij,r Female upper part ij) of the daily water consumption e is set within a range of 1;
Eighth step
Dividing the j th day of each quarter into S time periods according to the actual water consumption condition, wherein S is an integer more than or equal to 1, g is an integer more than or equal to 1 in the middle time period; the initial average liquid level H Initially, the method comprises ijs of S time periods and the final average liquid level H Terminal (A) ijs of S time periods are obtained through a water tank liquid level sensor L, and initial average reading Q Initially, the method comprises ijs of each typical day and final average reading Q Terminal (A) ijs of each typical day are measured through a water supplementing water meter U;
Ninth step
Calculating the water consumption of S time periods, V ijs=S×（H Terminal (A) ijs-H Initially, the method comprises ijs）-（Q Terminal (A) ijs-Q Initially, the method comprises ijs);
By the formula Calculated outIs 0 < lambda s < 1, and lambda s≥λs+1,Set to be in the range of 1;
Tenth step
Predicting the time-interval lower limit of the daily water quantity, V Pre-preparation ijs=λs×V Pre-preparation ij;
For example: the water consumption peak of a hotel in winter is 19 hours to 23 hours, the period j is 7 days a week, the water consumption modes of Monday to Saturday are the same, the water consumption modes of Friday to Saturday are the same, the water consumption modes of Sunday are inconsistent with those of other days, all the Wednesday of winter i=4 (namely 3 rd day in the period, j=3) is selected to carry out the lowest water consumption proportion test, the water consumption upper limit V Pre-preparation 43 of the whole day of winter 3 is divided into 1 time period when the S time period is 0-9, 2 time period when the S time period is 9-15, 3 time period when the S time period is 15-19, 4 time period when the S time period is 19-23, and 5 time period when the S time period is 23-24;
S=1，2，3，4，5，g=1，2，3，4，5
Obtaining water consumption V ijs of each time period through time period dividing test, and calculating the lowest water consumption proportion and water consumption of each time period according to the water consumption of each time period;
eleventh step
The daily water consumption is controlled by the daily water consumption upper limit prediction V Pre-preparation ij and the daily water consumption lower limit prediction V Pre-preparation ijs in each period;
The method for adjusting the daily water consumption in a sectionalized and periodic manner based on the outdoor air temperature and the number of people using water can be applied to water consumption control of any centralized hot water system used in schools, hospitals, hotels and the like.
Example two
The method for adjusting the daily water consumption sectionally and periodically based on the outdoor air temperature and the number of people using water comprises the following steps:
First step
Installing an outdoor temperature and humidity sensor TH, a water tank liquid level sensor L and a water supplementing and measuring meter U, and measuring the cross section area S of the water tank;
Second step
(1) The method comprises the steps of respectively obtaining a daily initial liquid level H Initially, the method comprises ik and a daily end liquid level H Terminal (A) ik of a water tank in each quarter of spring, summer, autumn and winter through a water tank liquid level sensor L, obtaining a daily initial reading Q Initially, the method comprises ik and a daily end reading Q Terminal (A) ik through a water supplementing water meter, wherein k refers to the kth day of a complete year, k=1, 2,3, 365, i=1, 2,3,4, i is 1 time and represents spring, i is 2 time and summer, i is 3 time and represents autumn, and i is 4 time and represents winter;
(2) The daily water consumption of each quarter is calculated respectively, and V ik=S×（H Terminal (A) ik-H Initially, the method comprises ik）-（Q Terminal (A) ik-Q Initially, the method comprises ik is calculated;
(3) Calculating the daily water consumption time sequence of each complete quarter by adopting Fourier transformation to obtain the period of daily water consumption;
Wherein the method comprises the steps of In order to be of an angular frequency,As a function of the power spectrum,Daily water consumption time sequence for the ith complete quarter;
the Fourier transform shown in the above way separates the daily water consumption time sequence of a complete year into the sum of sine wave and cosine wave of various water consumption periods to obtain the corresponding amplitude of the sine wave and the cosine wave of different water consumption periods, and the water consumption period of the sine wave and the cosine wave with the largest amplitude is the time length j of the water consumption period of the building;
Third step
Acquiring the total daily water consumption number W ik of each quarter, the daily male water consumption number W Man's body ik of the whole year and the daily female water consumption number W Female ik of the whole year through daily records, wherein the daily male water consumption rate r Man's body ik=WMan's body ik/Wik and the daily female water consumption rate r Female ik=W Female ik/Wik are calculated by W Man's body ik+W Female ik=Wik;
Fourth step
The outdoor average temperature T Outdoor unit ik of each quarter of the spring, the summer, the autumn and the winter is respectively obtained through an outdoor temperature and humidity sensor TH; the daily water consumption V ik, the total daily water consumption W ik, the daily male water usage rate r Man's body ik, the daily female water usage rate r Female ik and the daily outdoor average temperature T Outdoor unit ik obtained in the fourth step are respectively classified to the corresponding jth days in the period according to the periodicity to obtain the daily water consumption V iuj, the outdoor average temperature T Outdoor unit iuj、, the total daily water consumption W iuj, the daily male water usage rate r Man's body iuj and the daily female water usage rate r Female iuj in the jth period; the u is the number of days corresponding to the j-th day in the period;
For example: the cycle of spring of 1 st quarter is 7 days, belonging to the cycle of week, the daily outdoor average temperature T Outdoor unit 1u1, the total daily water consumption W 1u1, the daily male water consumption r Man's body 1u1, the daily female water consumption r Female 1 u1 and the daily water consumption V 1u1 of all week 1 of 1 st quarter are classified into week 1, the daily outdoor average temperature T Outdoor unit 1u2, the total daily water consumption W 1u2, the daily male water consumption r Man's body 1u2, the daily female water consumption r Female 1u2 and the daily water consumption V 1u2 are classified into week 2, the daily outdoor average temperature T 1u2, the total daily water consumption W 1u2, the daily male water consumption r 1u2, the female water consumption r 1u2 and the daily water consumption V 1u2 of all week 3 of spring of 1 quarter are classified into week 3, the daily outdoor average temperature T 1u2, the total daily water usage W 1u2, the daily male water usage r 1u2, the daily female water usage r 1u2 and the daily water usage V 1u2 for all weeks 4 in spring of the 1 st quarter are classified into week 4, the daily outdoor average temperature T 1u2, the total daily water usage W 1u2, the daily male water usage r 1u2, the daily female water usage r 1u2 and the daily water usage V 1u2 for all weeks 5 in spring of the 1 st quarter are classified into week 5, the daily outdoor average temperature T 1u2, the total daily water usage W 1u2 for all weeks 6 in spring of the 1 st quarter, the daily male water usage r 1u2, the daily female water usage r 1u2 and the daily water usage V 1u2 are classified into week 6, the daily outdoor average temperature T Outdoor unit 1u7, the total daily water usage W 1u7, the daily male water usage r Man's body 1u7, the daily female water usage r Female 1u7 and the daily water usage V 1u7 for all weeks 7 in spring of the 1 st quarter are classified to week 7;
fifth step
The water consumption changes along with the change of the quarters, the outdoor temperature, the number of water consumption and the use ratio of men and women, a machine learning algorithm is adopted in a data driving mode, all data in the jth period of the ith quarter are selected, the relation V ij=f（T Outdoor unit ij,Wij,rMan's body ij,r Female ij between the daily water consumption and the outdoor temperature in each quarter period is established, T Outdoor unit iuj,Wiuj,rMan's body iuj,r Female iuj is taken as an input variable, V iuj is taken as an output variable, and a relation model of the jth daily water consumption V ij and the outdoor air temperature and the number of water consumption and the use ratio in the ith quarter period is established;
Sixth step
Outputting a relation model of daily water consumption and outdoor air temperature in each period in each quarter, and the number of water consumption and the use rate;
Vij
V1j=f（T Outdoor unit 1j,W1j,rMan's body 1j,r Female 1j）
V2j=f（T Outdoor unit 2j,W2j,rMan's body 2j,r Female 2j）
V3j=f（T Outdoor unit 3j,W3j,rMan's body 3j,r Female k3j）
V4j=f（T Outdoor unit 4j,W4j,rMan's body 4j,r Female 4j）
J=1，2，3，4…；
When j=7, V ij =
V11=f（T Outdoor unit 11,W11,rMan's body 11,r Female 11）
V21=f（T Outdoor unit 21,W21,rMan's body 21,r Female 21）
V31=f（T Outdoor unit 31,W31,rMan's body 31,r Female k31）
V41=f（T Outdoor unit 41,W41,rMan's body 41,r Female 41）
…
V17=f（T Outdoor unit 17,W17,rMan's body 17,r Female 17）
V27=f（T Outdoor unit 27,W27,rMan's body 27,r Female 27）
V37=f（T Outdoor unit 37,W37,rMan's body 37,r Female 37）
V47=f（T Outdoor unit 47,W47,rMan's body 47,r Female 47）
Seventh step
The upper limit of the daily water quantity is controlled; acquiring the total daily water consumption W Upper part ij on the j th day of the last quarter period, the daily male water consumption r On men ij, the daily female water consumption r Female upper part ij, the weather forecast the outdoor average temperature T Pre-preparation ij of the i th quarter of the second quarter, and predicting and calculating the second daily water consumption V Pre-preparation ij=f（T Pre-preparation ij,W Upper part ij,r On men ij,r Female upper part ij by using the j th day water consumption model of the i th quarter period, wherein in order to prevent insufficient daily water consumption, a safety factor e is given for adjustment and setting, and the daily water consumption upper limit predicted value V Pre-preparation ij=e×f（T Pre-preparation ij,W Upper part ij,r On men ij,r Female upper part ij) e is set within a range of 1.25;
Eighth step
Dividing the j th day into S time periods according to the actual water consumption condition, wherein S is an integer more than or equal to 1, g is an intermediate time period, and g is an integer more than or equal to 1; the initial average liquid level H Initially, the method comprises js of S time periods and the final average liquid level H Terminal (A) js of S time periods are obtained through a water tank liquid level sensor L, and initial average reading Q Initially, the method comprises js of each typical day and final average reading Q Terminal (A) js of each typical day are measured through a water supplementing water meter U;
Ninth step
Calculating the water consumption of S time periods, V js=S×（H Terminal (A) js-H Initially, the method comprises js）-（Q Terminal (A) js-Q Initially, the method comprises js);
By the formula Calculated outIs 0 < lambda s < 1, and lambda s≥λs+1,Set to 1.05;
Tenth step
Predicting the time-interval lower limit of the daily water quantity, V Pre-preparation ijs=λs×V Pre-preparation ij;
For example: the spring water consumption peak of a certain company is 9 to 11 am, two stages of 15 to 17 am, the period j is 7 day of week, the water consumption modes of monday to friday are the same, the water consumption modes of Saturday and sunday are inconsistent with other days, the lowest water consumption proportion test is carried out on all the tuesday (namely 2 nd day in the period, j=2) of spring i=1, the upper limit V Pre-preparation 12 of the water consumption of all the days of spring 2 is irregularly divided into 1 time period when 0 to 9,2 time period when 9 to 11, 3 time period when 11 to 15, 4 time period when 15 to 17, 5 time period when 17 to 22 and 6 time period when 23 to 24 are divided;
S=1，2，3，4，5，6，g=1，2，3，4，5，6
Obtaining water consumption V ds of each time period through time period dividing test, and calculating the lowest water consumption proportion and water consumption of each time period according to the water consumption of each time period;
eleventh step
The daily water amount is controlled by the daily water amount upper limit prediction V Pre-preparation ij and the daily water limit prediction V Pre-preparation ijs in each period.
The method for adjusting the daily water consumption sectionally and periodically based on the outdoor air temperature and the number of people using water can be applied to water consumption control of any centralized hot water system used in schools, hospitals, hotels and the like.
Example III
The method for adjusting the daily water consumption sectionally and periodically based on the outdoor air temperature and the number of people using water comprises the following steps:
Example two
The method for adjusting the daily water consumption sectionally and periodically based on the outdoor air temperature and the number of people using water comprises the following steps:
First step
Installing an outdoor temperature and humidity sensor TH, a water tank liquid level sensor L and a water supplementing and measuring meter U, and measuring the cross section area S of the water tank;
Second step
(1) The method comprises the steps of respectively obtaining a daily initial liquid level H Initially, the method comprises ik and a daily end liquid level H Terminal (A) ik of a water tank in each quarter of spring, summer, autumn and winter through a water tank liquid level sensor L, obtaining a daily initial reading Q Initially, the method comprises ik and a daily end reading Q Terminal (A) ik through a water supplementing water meter, wherein k refers to the kth day of a complete year, k=1, 2,3, 365, i=1, 2,3,4, i is 1 time and represents spring, i is 2 time and summer, i is 3 time and represents autumn, and i is 4 time and represents winter;
(2) The daily water consumption of each quarter is calculated respectively, and V ik=S×（H Terminal (A) ik-H Initially, the method comprises ik）-（Q Terminal (A) ik-Q Initially, the method comprises ik is calculated;
(3) Calculating the daily water consumption time sequence of each complete quarter by adopting Fourier transformation to obtain the period of daily water consumption;
Wherein the method comprises the steps of In order to be of an angular frequency,As a function of the power spectrum,Daily water consumption time sequence for the ith complete quarter;
the Fourier transform shown in the above way separates the daily water consumption time sequence of a complete year into the sum of sine wave and cosine wave of various water consumption periods to obtain the corresponding amplitude of the sine wave and the cosine wave of different water consumption periods, and the water consumption period of the sine wave and the cosine wave with the largest amplitude is the time length j of the water consumption period of the building;
Third step
Acquiring the total daily water consumption number W ik of each quarter, the daily male water consumption number W Man's body ik of the whole year and the daily female water consumption number W Female ik of the whole year through daily records, wherein the daily male water consumption rate r Man's body ik=WMan's body ik/Wik and the daily female water consumption rate r Female ik=W Female ik/Wik are calculated by W Man's body ik+W Female ik=Wik;
Fourth step
The outdoor average temperature T Outdoor unit ik of each quarter of the spring, the summer, the autumn and the winter is respectively obtained through an outdoor temperature and humidity sensor TH; the daily water consumption V ik, the total daily water consumption W ik, the daily male water usage rate r Man's body ik, the daily female water usage rate r Female ik and the daily outdoor average temperature T Outdoor unit ik obtained in the fourth step are respectively classified to the corresponding jth days in the period according to the periodicity to obtain the daily water consumption V iuj, the outdoor average temperature T Outdoor unit iuj、, the total daily water consumption W iuj, the daily male water usage rate r Man's body iuj and the daily female water usage rate r Female iuj in the jth period; the u is the number of days corresponding to the j-th day in the period;
For example: the cycle of spring of 1 st quarter is 7 days, belonging to the cycle of week, the daily outdoor average temperature T Outdoor unit 1u1, the total daily water consumption W 1u1, the daily male water consumption r Man's body 1u1, the daily female water consumption r Female 1 u1 and the daily water consumption V 1u1 of all week 1 of 1 st quarter are classified into week 1, the daily outdoor average temperature T Outdoor unit 1u2, the total daily water consumption W 1u2, the daily male water consumption r Man's body 1u2, the daily female water consumption r Female 1u2 and the daily water consumption V 1u2 are classified into week 2, the daily outdoor average temperature T 1u2, the total daily water consumption W 1u2, the daily male water consumption r 1u2, the female water consumption r 1u2 and the daily water consumption V 1u2 of all week 3 of spring of 1 quarter are classified into week 3, the daily outdoor average temperature T 1u2, the total daily water usage W 1u2, the daily male water usage r 1u2, the daily female water usage r 1u2 and the daily water usage V 1u2 for all weeks 4 in spring of the 1 st quarter are classified into week 4, the daily outdoor average temperature T 1u2, the total daily water usage W 1u2, the daily male water usage r 1u2, the daily female water usage r 1u2 and the daily water usage V 1u2 for all weeks 5 in spring of the 1 st quarter are classified into week 5, the daily outdoor average temperature T 1u2, the total daily water usage W 1u2 for all weeks 6 in spring of the 1 st quarter, the daily male water usage r 1u2, the daily female water usage r 1u2 and the daily water usage V 1u2 are classified into week 6, the daily outdoor average temperature T Outdoor unit 1u7, the total daily water usage W 1u7, the daily male water usage r Man's body 1u7, the daily female water usage r Female 1u7 and the daily water usage V 1u7 for all weeks 7 in spring of the 1 st quarter are classified to week 7;
fifth step
The water consumption changes along with the change of the quarters, the outdoor temperature, the number of water consumption and the use ratio of men and women, a machine learning algorithm is adopted in a data driving mode, all data in the jth period of the ith quarter are selected, the relation V ij=f（T Outdoor unit ij,Wij,rMan's body ij,r Female ij between the daily water consumption and the outdoor temperature in each quarter period is established, T Outdoor unit iuj,Wiuj,rMan's body iuj,r Female iuj is taken as an input variable, V iuj is taken as an output variable, and a relation model of the jth daily water consumption V ij and the outdoor air temperature and the number of water consumption and the use ratio in the ith quarter period is established;
Sixth step
Outputting a relation model of daily water consumption and outdoor air temperature in each period in each quarter, and the number of water consumption and the use rate;
Vij
V1j=f（T Outdoor unit 1j,W1j,rMan's body 1j,r Female 1j）
V2j=f（T Outdoor unit 2j,W2j,rMan's body 2j,r Female 2j）
V3j=f（T Outdoor unit 3j,W3j,rMan's body 3j,r Female k3j）
V4j=f（T Outdoor unit 4j,W4j,rMan's body 4j,r Female 4j）
J=1，2，3，4…；
When j=7, V ij =
V11=f（T Outdoor unit 11,W11,rMan's body 11,r Female 11）
V21=f（T Outdoor unit 21,W21,rMan's body 21,r Female 21）
V31=f（T Outdoor unit 31,W31,rMan's body 31,r Female k31）
V41=f（T Outdoor unit 41,W41,rMan's body 41,r Female 41）
…
V17=f（T Outdoor unit 17,W17,rMan's body 17,r Female 17）
V27=f（T Outdoor unit 27,W27,rMan's body 27,r Female 27）
V37=f（T Outdoor unit 37,W37,rMan's body 37,r Female 37）
V47=f（T Outdoor unit 47,W47,rMan's body 47,r Female 47）
Seventh step
The upper limit of the daily water quantity is controlled; acquiring the total daily water consumption W Upper part ij on the j th day of the last period of the ith quarter, the daily male water consumption r On men ij, the daily female water consumption r Female upper part ij, the outdoor average temperature T Pre-preparation ij of the ith quarter of the second day of weather forecast, and predicting and calculating the second daily water consumption V Pre-preparation ij=f（T Pre-preparation ij,W Upper part ij,r On men ij,r Female upper part ij by using the j th day water consumption model of the periodicity of the ith quarter, wherein in order to prevent insufficient daily water consumption, a safety factor e is given for adjustment and setting, and the daily water consumption upper limit predicted value V Pre-preparation ij=e×f（T Pre-preparation ij,W Upper part ij,r On men ij,r Female upper part ij) e is set to be 1.5;
Eighth step
Dividing the j th day of each quarter into S time periods according to the actual water consumption condition, wherein S is an integer more than or equal to 1, g is an integer more than or equal to 1 in the middle time period; the initial average liquid level H Initially, the method comprises ijs of S time periods and the final average liquid level H Terminal (A) ijs of S time periods are obtained through a water tank liquid level sensor L, and initial average reading Q Initially, the method comprises ijs of each typical day and final average reading Q Terminal (A) ijs of each typical day are measured through a water supplementing water meter U;
Ninth step
Calculating the water consumption of S time periods, V ijs=S×（H Terminal (A) ijs-H Initially, the method comprises ijs）-（Q Terminal (A) ijs-Q Initially, the method comprises ijs);
By the formula Calculated outIs 0 < lambda s < 1, and lambda s≥λs+1,Setting to be in the range of 1.1;
Tenth step
Predicting the time-interval lower limit of the daily water quantity, V Pre-preparation ijs=λs×V Pre-preparation ij;
For example: the water consumption peak in summer of certain middle school is 12 to 14 in noon, two stages from 18 to 23 in the period j are 7 days in one week, the water consumption modes from monday to friday are the same, the water consumption modes from Saturday to sunday are the same, the lowest water consumption proportion test is carried out on all monday (namely 1 st day in the period, j=1) of i=2 in summer, the water consumption upper limit V Pre-preparation 21 of all days in summer is selected, the S period is irregularly divided into 0 to 11 time periods 1, 12 to 14 time periods 2, 15 to 17 time periods 3, 18 to 20 time periods 4, 21 to 22 time periods 5 and 23 time periods 6;
S=1，2，3，4，5，6，g=1，2，3，4，5，6
Obtaining water consumption V ijs of each time period through time period dividing test, and calculating the lowest water consumption proportion and water consumption of each time period according to the water consumption of each time period;
eleventh step
The daily water amount is controlled by the daily water amount upper limit prediction V Pre-preparation ij and the daily water limit prediction V Pre-preparation ijs in each period.
The method for adjusting the daily water consumption sectionally and periodically based on the outdoor air temperature and the number of people using water can be applied to water consumption control of any centralized hot water system used in schools, hospitals, hotels and the like.
The embodiments of the present invention have been described in detail above with reference to the accompanying drawings, but the present invention is not limited to the described embodiments. It will be apparent to those skilled in the art that various changes, modifications, substitutions and alterations can be made hereto without departing from the spirit and scope of the invention as defined by the appended claims.

Claims (1)

1. The sectional periodic adjustment method for the daily water consumption based on the outdoor air temperature and the number of people using water is characterized by comprising the following steps:
First step
Installing an outdoor temperature and humidity sensor TH, a water tank liquid level sensor L and a water supplementing and measuring meter U, and measuring the cross section area S of the water tank;
Second step
(1) The method comprises the steps of respectively obtaining a daily initial liquid level H Initially, the method comprises ik and a daily end liquid level H Terminal (A) ik of a water tank in each quarter of spring, summer, autumn and winter through a water tank liquid level sensor L, obtaining a daily initial reading Q Initially, the method comprises ik and a daily end reading Q Terminal (A) ik through a water supplementing water meter, wherein k refers to the kth day of a complete year, k=1, 2,3, 365, i=1, 2,3,4, i is 1 time and represents spring, i is 2 time and summer, i is 3 time and represents autumn, and i is 4 time and represents winter;
(2) The daily water consumption of each quarter is calculated respectively, and V ik=S×（H Terminal (A) ik-H Initially, the method comprises ik）-（Q Terminal (A) ik-Q Initially, the method comprises ik is calculated;
(3) Calculating the daily water consumption time sequence of each complete quarter by adopting Fourier transformation to obtain the period of daily water consumption;
Wherein the method comprises the steps of Is angular frequency,/>As a function of the power spectrum,/>Daily water consumption time sequence for the ith complete quarter;
the Fourier transform shown in the above way separates the daily water consumption time sequence of a complete year into the sum of sine wave and cosine wave of various water consumption periods to obtain the corresponding amplitude of the sine wave and the cosine wave of different water consumption periods, and the water consumption period of the sine wave and the cosine wave with the largest amplitude is the time length j of the water consumption period of the building;
Third step
Acquiring the total daily water consumption number W ik of each quarter, the daily male water consumption number W Man's body ik of the whole year and the daily female water consumption number W Female ik of the whole year through daily records, wherein the daily male water consumption rate r Man's body ik=WMan's body ik/Wik and the daily female water consumption rate r Female ik=W Female ik/Wik are calculated by W Man's body ik+W Female ik=Wik;
Fourth step
The outdoor average temperature T Outdoor unit ik of each quarter of the spring, the summer, the autumn and the winter is respectively obtained through an outdoor temperature and humidity sensor TH; the daily water consumption V ik, the total daily water consumption W ik, the daily male water usage rate r Man's body ik, the daily female water usage rate r Female ik and the daily outdoor average temperature T Outdoor unit ik obtained in the fourth step are respectively classified to the corresponding jth days in the period according to the periodicity to obtain the daily water consumption V iuj, the outdoor average temperature T Outdoor unit iuj、, the total daily water consumption W iuj, the daily male water usage rate r Man's body iuj and the daily female water usage rate r Female iuj in the jth period; the u is the number of days corresponding to the j-th day in the period;
fifth step
The water consumption changes along with the change of the quarters, the outdoor temperature, the number of water consumption and the use ratio of men and women, a machine learning algorithm is adopted in a data driving mode, all data in the jth period of the ith quarter are selected, the relation V ij=f（T Outdoor unit ij,Wij,rMan's body ij,r Female ij between the daily water consumption and the outdoor temperature in each quarter period is established, T Outdoor unit iuj,Wiuj,rMan's body iuj,r Female iuj is taken as an input variable, V iuj is taken as an output variable, and a relation model of the jth daily water consumption V ij and the outdoor air temperature and the number of water consumption and the use ratio in the ith quarter period is established;
Sixth step
Outputting a relation model of daily water consumption and outdoor air temperature in each period in each quarter, and the number of water consumption and the use rate;
Vij
V1j=f（T Outdoor unit 1j,W1j,rMan's body 1j,r Female 1j）
V2j=f（T Outdoor unit 2j,W2j,rMan's body 2j,r Female 2j）
V3j=f（T Outdoor unit 3j,W3j,rMan's body 3j,r Female 3j）
V4j=f（T Outdoor unit 4j,W4j,rMan's body 4j,r Female 4j）
j=1，2，3，4…；
Seventh step
The upper limit of the daily water quantity is controlled; acquiring the total daily water consumption W Upper part ij on the j th day of the last period of the ith quarter, the daily male water consumption r On men ij, the daily female water consumption r Female upper part ij, the outdoor average temperature T Pre-preparation ij of the ith quarter of the second day of weather forecast, and predicting and calculating the second daily water consumption V Pre-preparation ij=f（T Pre-preparation ij,W Upper part ij,r On men ij,r Female upper part ij by using the model of the j th day of the periodicity of the ith quarter, wherein in order to prevent insufficient daily water consumption, a safety factor e is given for adjustment and setting, and the upper limit predicted value V Pre-preparation ij=e×f（T Pre-preparation ij,W Upper part ij,r On men ij,r Female upper part ij of the daily water consumption) e is set within the range of 1-1.5;
Eighth step
Dividing the j th day of each quarter into S time periods according to the actual water consumption condition, wherein S is an integer more than or equal to 1, g is an integer more than or equal to 1 in the middle time period; the initial average liquid level H Initially, the method comprises ijs of S time periods and the final average liquid level H Terminal (A) ijs of S time periods are obtained through a water tank liquid level sensor L, and initial average reading Q Initially, the method comprises ijs of each typical day and final average reading Q Terminal (A) ijs of each typical day are measured through a water supplementing water meter U;
Ninth step
Calculating the water consumption of S time periods, V ijs=S×（H Terminal (A) ijs-H Initially, the method comprises ijs）-（Q Terminal (A) ijs-Q Initially, the method comprises ijs);
By the formula Calculate/>Numerical values of 0 < lambda s < 1, and lambda s≥λs+1,/>Setting the range of 1-1.1;
Tenth step
Predicting the time-interval lower limit of the daily water quantity, V Pre-preparation ijs=λs×V Pre-preparation ij;
eleventh step
The daily water amount is controlled by the daily water amount upper limit prediction V Pre-preparation ij and the daily water limit prediction V Pre-preparation ijs in each period.
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