CN111178658B - Planned water use management method and system based on big data analysis - Google Patents
Planned water use management method and system based on big data analysis Download PDFInfo
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- CN111178658B CN111178658B CN201910919889.6A CN201910919889A CN111178658B CN 111178658 B CN111178658 B CN 111178658B CN 201910919889 A CN201910919889 A CN 201910919889A CN 111178658 B CN111178658 B CN 111178658B
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Abstract
The invention discloses a management method of planned water consumption based on big data analysis, which comprises the following steps: s1, installing an online metering facility at the front end of a water intake user to acquire and monitor flow in real time, multiplying the flow by a time interval to convert the flow into water in a time period, accumulating the water to acquire the actual water intake of the water intake user, and transmitting the water intake data to a big data analysis center through data transmission; s2, acquiring annual distribution amount in the water consumer license; s3, stably acquiring the monitored water quantity of each water user in the area by the big data analysis center, and calculating the current actual water consumption of the area; s4, acquiring a total annual water consumption control index of the region; s5, analyzing and calculating a reasonable plan suggestion value according to data such as monthly plan application values, distribution amounts within the water intaking allowable year, actual water consumption of the area and the like provided by water intaking users at the Internet end; the method can accurately acquire the required data, automatically analyze and calculate the monthly plan value meeting the production requirement of the water user according to various factors, and is more efficient and refined.
Description
Technical Field
The invention relates to a method and a system for managing planned water consumption based on big data analysis.
Background
Planning water use, as the name suggests, is the planning and scheduling activity for future water use. The water resource belongs to non-renewable resources, so that the maximum social, economic and ecological benefits of the water resource are created in order to avoid unnecessary resource waste, and the scientific and planned reasonable water utilization is necessary to be realized, and the use efficiency of the water resource is improved.
The management unit with the water administration approval function issues a water taking permit for a water user who takes water from the earth surface such as rivers, lakes and the like by using engineering facilities, specifies that the user takes water according to monthly annual allocation on the water taking permit, and requires that the user perform planned water use work. The plan processing flow is that the water user puts forward the next year water use plan application to the management unit according to the actual water use condition and the production requirement of the unit in 31 days of 12 months every year, and the management unit must complete all examination and approval work in 31 days of the next year. The water plan is issued once every year and consists of actual water taking amount in the last year, total water taking amount in the annual plan, monthly plan amount and water taking purposes, wherein the annual plan water taking amount = sigma 12 monthly plan amounts, and the monthly plan amount is not more than annual allocation amount of a water taking license.
However, because most of the original water plan making modes depend on manual experience, the timeliness of the plan cannot be guaranteed, the rationality cannot be reflected, and the three aspects are mainly reflected as follows: firstly, when a water user applies for a water plan, the annual allocation amount of a water taking license is simply and roughly used as monthly plan amount without combining the actual water use condition in the past year and the next year production plan; secondly, when the management unit approves, the recent actual water intake of the water user needs to be searched, the monthly plan value is calculated according to the water usage quota, manual verification is not only low in efficiency and prone to errors, but also space water amount plans such as the water intake of the whole area cannot be effectively combined, so that the plan amount cannot be guaranteed not to exceed the water usage efficiency red line of the strictest water resource management, and resource waste cannot be avoided. The third is that application, approval work all are handled under the paper file line, when the management water intaking household number is more, can't in time accomplish the plan and assign, and administrative unit is probably directly through the water intaking household application under the insufficient condition of time, and the second point more can't be guaranteed to the reversal water efficiency red line.
Therefore, it is necessary to provide a more refined management method.
Disclosure of Invention
The technical problem to be solved by the invention is to provide a method which can accurately acquire required data, automatically analyze and calculate monthly plan values meeting the production requirements of water users according to various factors, and more efficiently manage plan water.
In order to solve the problems, the invention adopts the following technical scheme:
a management method of planned water use based on big data analysis comprises the following steps:
s1, installing an online metering facility at the front end of a water intake user to collect and monitor flow in real time, multiplying the flow by a time interval to convert the flow into water in a time period, accumulating the water to obtain the actual water intake of the water intake user, and transmitting water intake data to a big data analysis center through data transmission;
s2, acquiring annual allocation amount in the water user license;
s3, stably acquiring the monitored water quantity of each water user in the area by the big data analysis center, and calculating the current actual water consumption of the area;
s4, acquiring a total annual water consumption control index of the region;
and S5, analyzing and calculating a reasonable plan suggested value according to the monthly plan application value provided by the water intake user at the Internet end, the distribution amount within the water intake allowable year and the actual water consumption data of the area.
Preferably, in step S5, the planned volume of each application is further acquired, and the system logic encapsulates the business rules: the planned total amount of water to be distributed by the user according to the usage in the next year is equal to the sum of the monthly planned water consumption.
Preferably, the monthly planned water consumption of the water user is P = min { P1, P2, P3}, wherein P1 is less than or equal to P3, and P2 is less than or equal to P3.
Wherein, P1 is a monthly plan suggested value;
p2 is a plan application value applied by a user at the Internet end;
p3 is the annual allocation amount of the water taking license.
Preferably, the calculation method of the monthly plan recommended value of the user is as follows:
s51, taking the collected actual water consumption of a plurality of water consumers in nearly four years as a sample, coding by adopting a genetic algorithm, and drawing up a formula: actual water intake of n years per month W = mu 1*n 1 Actual annual water intake W1+ mu 2*n 2 Actual annual water intake W2+ mu 3*n 3 And (3) simultaneously acquiring the actual water consumption W3, processing the actual water consumption data obtained in nearly four years by using a Map function, and calculating a set of values meeting the conditions<μ1，μ2，μ3>Calculating the mean vector with the same cluster identifier, repeating the steps until the square error is stabilized at the minimum value, and determining mu 1, mu 2 and mu 3;
s52, determining the ratio of the actual water quantity to the planned water quantity of each water user per year, namely an increase coefficient sigma;
s53, obtaining the lunar degree plan suggestion value P1= growth coefficient sigma (mu 1*n) 1 Actual annual water intake W1+ mu 2*n 2 Actual annual water intake W2+ mu 3*n 3 Actual water intake in the same period W3) by actual monitoringMeasuring and calculating a preliminary suggested value P1, taking the distribution amount P3 of the water-taking license within the year, and taking P1 as the suggested value if P1 is less than or equal to P3; if P1 > P3, the proposed value is P3.
Preferably, the user can inquire the plan suggestion value given by the system when applying for, and if the user does not apply the plan suggestion value, the application value P2 can be filled in separately, but the allocation amount cannot be exceeded, i.e. P2 is less than or equal to P3.
Preferably, the management unit queries the user application value, simultaneously queries the system plan suggestion value, and checks whether the user application value is within a reasonable range.
Preferably, when the water consumers are enterprises, the actual water consumption of about four years is selected as basic data of the verification plan, and the water consumption habits and the water consumption trends of the water consumers are analyzed through a big data method.
Preferably, it is assumed that n water consumers are getting water in the local area, the current actual water intake of a single water consumer is denoted as W, the allowable water amount is P3, and the current actual water consumption = ∑ (W) 1 +W 2 +…+W n ). When the existing (n + 1) th user applies for water and works as a water plan, the system judges sigma (W) 1 +W 2 +…+W n )+P n+1 If the water consumption exceeds the index (M), if it is sigma (W) 1 +W 2 +…+W n ) + Pn +1 > M, and the management unit can reduce the checking amount of the plan value on the basis of the application of the user.
The invention also provides a planned water consumption management system based on big data analysis, which comprises:
the metering module is used for acquiring the monitored flow in time through data transmission, multiplying the monitored flow by a time interval to convert the time interval into water quantity, and accumulating the water quantity to acquire the actual water intake value of each month of a water user;
the connection acquisition module is connected with the water taking permission account system and used for acquiring annual distribution amount in the water taking user license; the system is connected with the water utilization efficiency and is used for acquiring the rated value of the industry where the water user is located from the water utilization rate, namely the water quantity required to be consumed for producing the unit product;
and the big data analysis module is connected with the metering module and the connection acquisition module and is used for acquiring data including monthly plan application values provided by the Internet end of a water user, distribution amounts within a water taking permitted year, actual water consumption of an area and the like, and analyzing and calculating reasonable monthly plan suggested values.
The beneficial effects of the invention are as follows: the method for accurately formulating the planned water based on big data analysis can accurately acquire required data, automatically analyzes and calculates monthly planned values meeting the production needs of water users according to various factors, and is more efficient and fine.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the description below are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flow chart of a method for managing planned water usage based on big data analysis.
Detailed Description
The technical solutions of the present invention are described below, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments, and it is obvious for those skilled in the art to obtain other embodiments according to these embodiments without creative efforts.
Examples
A management method of planned water use based on big data analysis comprises the following steps:
s1, installing an online metering facility at the front end of a water intake user to acquire and monitor flow in real time, multiplying the flow by a time interval to convert the flow into water in a time period, accumulating the water to acquire the actual water intake of the water intake user, and transmitting the water intake data to a big data analysis center through data transmission;
s2, acquiring annual distribution amount in the water consumer license;
the big data analysis center stably obtains the monitored water quantity of each water user in the area, and calculates the current actual water consumption of the area;
s4, acquiring a total annual water consumption control index of the region;
and S5, analyzing and calculating a reasonable plan recommendation value according to data such as monthly plan application values, distribution amounts in water intake allowable years and actual water consumption of the area of the user in the internet.
In this embodiment, the monthly planned water consumption P = min { P1, P2, P3}, where P1 is not less than P3, and P2 is not less than P3.
Wherein, P1 is a monthly plan suggested value;
p2 is a plan application value applied by a user at the Internet end;
p3 is the annual allocation of the water getting license.
In this embodiment, in step S5, the planned volume of each application is also required to be obtained, and the system logic encapsulates the business rules: the planned total amount of water to be distributed by the user according to the usage in the next year is equal to the sum of the monthly planned water consumption.
In this embodiment, the calculation method of the user plan suggestion value is as follows:
the collected actual water intake of 10000 households in each month in the last four years is used as a sample, the years 2018, 2017, 2016 and 2015 in the last four years are taken in the last four years in the embodiment, a genetic algorithm is adopted for coding, and a formula is drawn up, so that the actual water intake of 2018 in the same period W = mu 1 × 2015 in the same period W1+ mu 2 × 2016 in the same period W2+ mu 3 × 2017 in the same period W3, the actual water intake W is a known number, and water utilization coefficients mu 1, mu 2 and mu 3 are unknown numbers. The Map function is utilized to process the actual water consumption data obtained in the last four years, the set < mu 1, mu 2, mu 3> of the values meeting the conditions is calculated, the mean vector of the marks with the same cluster is calculated, the steps are repeated until the square error is stabilized at the minimum value, the values of mu 1, mu 2 and mu 3 are determined, and the final determination is carried out in the embodiment:
μ1＝1/6，μ2＝2/6，μ3＝3/6。
a growth coefficient sigma is given on the basis of the preliminarily calculated advice value. Similarly, using collected four years monthly actual water intake of 10000 consumers as a sample, assuming that the 2018 actual water intake W = σ (3 × 2017 contemporary actual water intake +2 × 2016 contemporary actual water intake +1 × 2015 contemporary actual water intake)/6, increase coefficients σ 1, σ 2, σ 3 … … σ n are calculated for each consumer, and using 0.1 as a scale, a square error function is used to calculate that more data are distributed around 1.1, and finally σ =1.1 is determined.
According to the preliminary suggested value P1 calculated by the actual monitoring amount by the big data analysis method, P1= growth coefficient σ (μ 1+ μ 2+ μ 3) may not exceed the distribution amount within the allowable water intake year (denoted as P3). If P1 is less than or equal to P3, the suggested value is P1; if P1 > P3, the proposed value is P3. Considering that the water plan is influenced by the annual water supply capacity of the city and the social water market along with the development of the economic society, the water condition of the water consumers is different, the water consumers are allowed to adjust the growth coefficient sigma according to the actual production condition, and if the sigma is increased to a certain degree, the principle that P1 is less than or equal to P3 still needs to be met.
When the user applies for the system, the user can inquire a plan suggestion value given by the system through big data analysis, can autonomously determine whether to adopt the system plan suggestion value, can fill in the application value P2 additionally, but cannot exceed the allowed distribution amount, namely P2 is less than or equal to P3.
In this embodiment, the method further comprises the steps of inquiring the requested value of the user by the management unit, simultaneously inquiring the suggested value of the system, and checking whether the requested value of the user is within a reasonable range or not, and whether the requested value exceeds the red line of the total water consumption of the region or not.
In this embodiment, it is assumed that n water consumers are getting water locally, the current-year actual water intake of a single water consumer is denoted as W, the allowable water amount continues to be P3, and the current-year actual water consumption = ∑ (W) 1 +W 2 +…+W n ). When the existing (n + 1) th user applies for water and works as a water plan, the system judges sigma (W) 1 +W 2 +…+W n )+P n+1 If the water consumption exceeds the index (M), if it is sigma (W) 1 +W 2 +…+W n ) + Pn +1 > M, the administrative unit can reduce the amount of the plan value check on the basis of the user application.
The present embodiment also provides a planned water management system based on big data analysis, including:
the metering module is used for acquiring the monitored flow in time through data transmission, multiplying the monitored flow by a time interval to convert the time interval into water quantity, and accumulating the water quantity to acquire the actual water intake value of each month of a water user;
the connection acquisition module is connected with the water taking permission account system and used for acquiring annual distribution amount in the water taking user license; the system is connected with the water utilization efficiency and is used for acquiring the rated value of the industry where the water user is located from the water utilization rate, namely the water quantity required to be consumed for producing the unit product;
and the big data analysis module is connected with the metering module and the connection acquisition module and is used for acquiring data including monthly plan application values provided by the Internet end of a water user, distribution amounts within a water taking permitted year, actual water consumption of an area and the like, and analyzing and calculating reasonable monthly plan suggested values.
The invention has the beneficial effects that: the method for accurately formulating the planned water based on big data analysis can accurately acquire required data, automatically analyzes and calculates monthly planned values meeting the production needs of water users according to various factors, and is more efficient and fine.
The above description is only an embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that are not thought of through the inventive work should be included in the scope of the present invention.
Claims (7)
1. A management method of planned water use based on big data analysis is characterized in that: the method comprises the following steps:
s1, installing an online metering facility at the front end of a water intake user to acquire and monitor flow in real time, multiplying the flow by a time interval to convert the flow into water in a time period, accumulating the water to acquire the actual water intake of the water intake user, and transmitting the water intake data to a big data analysis center through data transmission;
s2, acquiring annual distribution amount in the water consumer license;
s3, stably acquiring the monitored water quantity of each water user in the area by the big data analysis center, and calculating the current actual water consumption of the area;
s4, acquiring a total annual water consumption control index of the region;
s5, analyzing and calculating a reasonable plan suggestion value according to a monthly plan application value provided by a user at the Internet end, the distribution amount within a water intake allowable year and the actual water consumption data of the area;
the monthly plan water consumption of the water user is P = min { P1, P2, P3}, P1 is less than or equal to P3, and P2 is less than or equal to P3;
wherein, P1 is a monthly plan suggested value;
p2 is a plan application value applied by the user at the Internet end;
p3 is the annual distribution amount of the water getting license;
the calculation mode of the monthly plan suggestion value of the user is as follows:
s51, taking the collected actual water consumption of a plurality of water consumers in nearly four years as a sample, coding by adopting a genetic algorithm, and drawing up a formula: actual water intake of n years per month W = mu 1*n 1 Actual annual water intake W1+ mu 2*n 2 Actual annual water intake W2+ mu 3*n 3 The actual water intake amount W3 in the same year,
processing actual water consumption data obtained in four years by using a Map function, calculating a set of values meeting conditions (mu 1, mu 2 and mu 3), calculating a mean vector with the same cluster identifier, repeating the steps until a square error is stabilized at a minimum value, and determining mu 1, mu 2 and mu 3;
s52, determining the ratio of the actual water quantity to the planned water quantity of each water user per year, namely an increase coefficient sigma;
s53, obtaining the lunar degree plan suggestion value P1= growth coefficient sigma (mu 1*n) 1 Actual annual water intake W1+ mu 2*n 2 Actual annual water intake W2+ mu 3*n 3 The annual actual water intake amount W3), calculating a preliminary recommended value P1 by using the actual monitoring amount, calculating the distribution amount P3 of the water intake license in the year, and taking P1 as the recommended value if P1 is less than or equal to P3; if P1 > P3, the proposed value is P3.
2. The method for managing planned water use based on big data analysis according to claim 1, wherein: in step S5, the planned volume of each application is also required to be obtained, and the system logic encapsulates the business rules: the planned total quantity of the water users distributed according to the purposes in the next year is equal to the sum of the monthly planned water consumption.
3. The method for managing planned water use based on big data analysis according to claim 1, wherein: when the user applies for the application, the user can inquire the plan suggestion value given by the system, if the user does not adopt the plan suggestion value, the application value P2 can be filled in separately, but the distribution amount can not be exceeded, namely P2 is less than or equal to P3.
4. The method for managing planned water use based on big data analysis according to claim 3, wherein: and inquiring the user application value by the management unit, simultaneously inquiring the system plan suggestion value, and checking whether the user application value is in a reasonable range.
5. The method for managing planned water usage based on big data analysis according to claim 1, wherein: when the water consumers are enterprises, the actual water consumption of about four years is selected as basic data of the verification plan, and the water consumption habits and the water consumption trends of the water consumers are analyzed through a big data method.
6. The method for managing planned water use based on big data analysis according to claim 4, wherein: assuming that n water consumers are getting water locally, the actual water intake of a single water consumer in the current year is marked as W, the permitted water consumption is P3, and the actual water consumption of the current year = ∑ (W) 1 +W 2 +…+W n ) When the existing (n + 1) th user applies for water and works as a water plan, the system judges sigma (W) 1 +W 2 +…+W n )+P n+1 If the total water usage in the area is exceeded is denoted by M, if S (W) 1 +W 2 +…+W n ) + Pn +1 > M, and the management unit can reduce the checking amount of the plan value on the basis of the application of the user.
7. A planned water management system based on big data analysis, which is applied to the management method of any one of claims 1 to 6, and is characterized by comprising the following steps:
the metering module is used for acquiring the monitored flow in time through data transmission, multiplying the monitored flow by a time interval and converting the multiplied time interval into a time-interval water quantity, and then accumulating to acquire an actual water intake value of each month of a water user;
the connection acquisition module is connected with the water taking permission account system and used for acquiring annual distribution amount in the water taking user license; the system is connected with the water utilization efficiency and is used for acquiring the industry quota value of the water user from the water utilization quota, namely the water quantity required to be consumed for producing the unit product;
and the big data analysis module is connected with the metering module and the connection acquisition module and is used for acquiring data including data such as monthly plan application values provided by the Internet end of a water user, distribution amounts in water taking permission years and actual water consumption of the area, and analyzing and calculating a reasonable monthly plan recommendation value.
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