CN111178658A - Planned water use management method and system based on big data analysis - Google Patents
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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 the water user to acquire the monitored flow in real time, multiplying the flow by a time interval to convert the flow into a time interval water quantity, then accumulating the time interval water quantity to acquire the actual water taking quantity of the water user, and transmitting the water taking quantity data to a big data analysis center through data transmission; s2, acquiring annual distribution amount in the water user license; s3, 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 the annual water use total amount 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 permitted water intake year, actual water consumption of the area and the like provided by the water intake user 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 greatest social, economic and ecological benefits are created for the water resource in order to avoid unnecessary resource waste, and scientific and planned reasonable water utilization is necessary to be realized, and the use efficiency of the water resource is improved.
A management unit having a water administration approval function issues a water intake permit for a water intake user who takes water from the earth surface such as a river, a lake, or the like by using an engineering facility, specifies that the user takes water according to the monthly annual allocation amount on the water intake permit, and requests the user to perform planned water usage 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 comprises the actual water intake quantity in the last year, the total water intake quantity in the year plan, the monthly plan quantity and the water intake purpose, wherein the annual plan water intake quantity is sigma 12 monthly plan quantities, and the monthly plan quantity is less than or equal to the annual distribution quantity of the water intake 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 the water user to acquire the monitored flow in real time, multiplying the flow by a time interval to convert the flow into a time interval water quantity, then accumulating the time interval water quantity to acquire the actual water taking quantity of the water user, and transmitting the water taking quantity data to a big data analysis center through data transmission;
s2, acquiring annual distribution amount in the water user license;
s3, 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 the annual water use total amount control index of the region;
and S5, analyzing and calculating a reasonable plan recommendation 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 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 user is P ═ min { P1, P2, P3}, P1 ≦ P3, and P2 ≦ P3.
Wherein P1 is a monthly plan recommendation value;
p2 is a plan application value applied by the user on the Internet;
p3 is the annual allocation of the water getting 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 users in about four years as samples, adopting genetic algorithm coding, and drawing up a formula: n years of actual water intake quantity W ═ mu 1 x n per month1Actual water intake in the same year W1+ mu 2 n2Actual water intake in the same year W2+ mu 3 n3The method comprises the steps of processing actual water consumption data obtained in nearly four years by using a Map function according to the actual water taking quantity W3 in the same period, and calculating a set of values meeting 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 monthly plan recommendation value P1 as the growth coefficient sigma (mu 1 n)1Actual water intake in the same year W1+ mu 2 n2Actual water intake in the same year W2+ mu 3 n3Meanwhile, the actual water intake amount W3) is utilized to calculate a preliminary suggested value P1 and the distribution amount P3 of the water intake license in the year, and if the P1 is less than or equal to P3, the suggested value is P1; if P1 > P3, the suggested 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 distribution amount can not be exceeded, i.e. P2 ≦ P3.
Preferably, the management unit inquires the user application value, simultaneously inquires the system plan suggestion value, and checks whether the user application value is in 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 already taking water in the locality, the current actual water intake of a single water consumer is denoted as W, the above-mentioned P3 is used for the permitted water, and the current actual water usage is ∑ (W)1+W2+…+Wn). When the existing (n + 1) th user applies for water and works as a water plan, the system judges sigma (W)1+W2+…+Wn)+Pn+1If the water consumption exceeds the index (M), if it is sigma (W)1+W2+…+Wn) + Pn +1 > M, the administrative unit can reduce the amount of the plan value check on the basis of the user application.
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 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 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.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these 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 the water user to acquire the monitored flow in real time, multiplying the flow by a time interval to convert the flow into a time interval water quantity, then accumulating the time interval water quantity to acquire the actual water taking quantity of the water user, and transmitting the water taking quantity data to a big data analysis center through data transmission;
s2, acquiring annual distribution amount in the water user 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 the annual water use total amount control index of the region;
and S5, analyzing and calculating reasonable planning suggestion value according to the monthly planning application value provided by the user on the Internet, the distribution amount within the allowable water intake year, the actual water consumption of the area and the like.
In the embodiment, the monthly planned water consumption P of the user is min { P1, P2, P3}, P1 is not less than P3, and P2 is not more than P3.
Wherein P1 is a monthly plan recommendation value;
p2 is a plan application value applied by the user on the Internet;
p3 is the annual allocation of the water getting license.
In this embodiment, step S5 further needs to obtain the planned volume of each application, 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 the last four years per month is taken as a sample, in the embodiment, 2018, 2017, 2016 and 2015 years are taken in the last four years, a genetic algorithm is adopted for coding, and a formula is formulated, so that the actual water intake of 2018 in the same period is W1+ mu 2+ 2016, W2+ mu 3 and W3 in the same period is obtained, the actual water intake W is a known number, and water use 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 actual water intake amounts in four years per month of 10000 consumers as samples, assuming that actual water intake amount in 2018 is W ═ σ × (3 × 2017 year same-period actual water intake amount +2 × 2016 year same-period actual water intake amount +1 × 2015 year same-period actual water intake amount)/6, increase coefficients σ 1, σ 2, and σ 3 … … σ n for each consumer are calculated, and using 0.1 as one scale, the number of data distributed around 1.1 is calculated according to a square-error function, and finally σ ═ 1.1 is determined.
The preliminary suggested value P1 calculated by the above big data analysis method using the actual monitored quantity is a P1 ═ growth coefficient σ · (μ 1 · actual water intake in the same month of the year + μ 2 · actual water intake in the same month of the year + μ 3 · actual water intake in the same month of the year), and may not exceed the water intake allowable intra-year distribution quantity (denoted as P3). If P1 is less than or equal to P3, the suggested value is P1; if P1 > P3, the suggested value is P3. Considering that the water supply plan is influenced by the current annual water supply capacity of cities and the social water market along with the development of 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 the plan suggestion value given by the system through big data analysis, can autonomously decide whether to adopt the system plan suggestion value, and can also fill the application value P2, but the allowable distribution amount cannot be exceeded, namely P2 is not more than 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 there are n water consumers in the locality to take water, the current actual water consumption of a single water consumer is denoted as W, the above-mentioned P3 is used for the permitted water consumption, and the current actual water consumption is ∑ (W)1+W2+…+Wn). When the existing (n + 1) th user applies for water and works as a water plan, the system judges sigma (W)1+W2+…+Wn)+Pn+1If the water consumption exceeds the index (M), if it is sigma (W)1+W2+…+Wn) + 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 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 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 (9)
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 the water user to acquire the monitored flow in real time, multiplying the flow by a time interval to convert the flow into a time interval water quantity, then accumulating the time interval water quantity to acquire the actual water taking quantity of the water user, and transmitting the water taking quantity data to a big data analysis center through data transmission;
s2, acquiring annual distribution amount in the water user license;
s3, 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 the annual water use total amount control index of the region;
and S5, analyzing and calculating a reasonable plan recommendation 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.
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 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.
3. The method for managing planned water use based on big data analysis according to claim 1, wherein: the monthly planned water consumption P of the water user is min { P1, P2 and P3}, P1 is less than or equal to P3, and P2 is less than or equal to P3.
Wherein P1 is a monthly plan recommendation value;
p2 is a plan application value applied by the user on the Internet;
p3 is the annual allocation of the water getting license.
4. The method for managing planned water use based on big data analysis according to claim 3, wherein: 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 users in about four years as samples, adopting genetic algorithm coding, and drawing up a formula: n years of actual water intake quantity W ═ mu 1 x n per month1Actual water intake in the same year W1+ mu 2 n2Actual water intake in the same year W2+ mu 3 n3At the same time, the actual water intake amount W3,
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 monthly plan recommendation value P1 as the growth coefficient sigma (mu 1 n)1Actual water intake in the same year W1+ mu 2 n2Actual water intake in the same year W2+ mu 3 n3Meanwhile, the actual water intake amount W3) is utilized to calculate a preliminary suggested value P1 and the distribution amount P3 of the water intake license in the year, and if the P1 is less than or equal to P3, the suggested value is P1; if P1 > P3, the suggested value is P3.
5. The method for managing planned water use based on big data analysis according to claim 4, wherein: when the user applies for the application, the plan suggestion value given by the system can be inquired, if the user does not apply the plan suggestion value, the application value P2 can be filled in separately, but the distribution quantity can not be exceeded, namely P2 is less than or equal to P3.
6. The method for managing planned water use based on big data analysis according to claim 5, 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.
7. The method for managing planned water use based on big data analysis according to claim 4, 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.
8. The method for managing planned water use based on big data analysis according to claim 6, wherein: assuming that n water consumers are getting water locally, the current year actual water intake of a single water consumer is recorded as W, the above-mentioned P3 is used for the permitted water consumption, and the current year actual water consumption is ∑ (W)1+W2+…+Wn). When the existing (n + 1) th user applies for water and works as a water plan, the system judges sigma (W)1+W2+…+Wn)+Pn+1If the water consumption exceeds the index (M), if it is sigma (W)1+W2+…+Wn) + Pn +1 > M, the administrative unit can reduce the amount of the plan value check on the basis of the user application.
9. A planned water management system based on big data analysis, comprising:
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 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 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.
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