CN116293480B - Concealed conduit detection method and device, electronic equipment and storage medium - Google Patents
Concealed conduit detection method and device, electronic equipment and storage medium Download PDFInfo
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
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Abstract
The application relates to an concealed conduit detection method, an concealed conduit detection device, electronic equipment and a storage medium, wherein the method comprises the following steps: determining a water leakage influence water yield score of the detection date; determining a partition water intensity score according to the water consumption of the day of the detection date, the water leakage influence water consumption score and the partition scale index score; determining a first surging score for the first zone based on the water intensity score; determining the energy consumption score of the first area according to the daily electricity consumption of the water supply plant, the daily electricity consumption of the sewage plant, the electricity consumption of the sewage plant and the regional water consumption of the first area; determining an energy consumption fluctuation score of the first area according to the energy consumption score; determining a water quantity energy consumption score of the first area according to the energy consumption fluctuation score, the electricity consumption of the water supply plant and the electricity consumption and the medicine consumption of the sewage plant; determining a second concealed conduit score of the first area according to the water quantity and energy consumption score; determining a surmount diagnostic score according to the first surmount score and the second surmount score; determining whether an underground pipe exists in the first area according to the underground pipe diagnosis score.
Description
Technical Field
The present application relates to the field of concealed conduit detection technology, and in particular, to a concealed conduit detection method, apparatus, electronic device, and storage medium.
Background
Currently, some people privacy the pipeline that the concealed pipe set up for reaching the purpose of avoiding supervision through concealed mode to drain pollutant, steal water.
In the prior art, supervision of private concealed management is mainly carried out at present by a mode of carrying out daily law enforcement inspection and unscheduled development of measurement and management linkage work by staff, but the conventional supervision mode is difficult to comprehensively hit the illegal action.
Disclosure of Invention
Based on the above problems, the application provides a method, a device, an electronic device and a storage medium for detecting a concealed pipe.
In a first aspect, an embodiment of the present application provides a method for detecting a concealed pipe, including:
dividing a region to be detected into a plurality of regions according to the water meter;
determining a water leakage influence index score of each area detection date, a partition scale index score of the detection date, the number of maintenance work orders of the detection date and the time from the last maintenance in the plurality of areas;
determining the water leakage influence water quantity score of each area detection date according to the water leakage influence index score of the detection date, the number of maintenance work orders of the detection date and the time from the last maintenance;
acquiring the water consumption of a first area in a plurality of areas on the same day of detection date, and determining a partition water intensity score according to the water consumption on the same day of detection date, the water leakage influence water consumption score of the first area on the detection date and the partition scale index score of the detection date; determining a first surmise score for the first zone based on the water intensity score;
Determining the energy consumption score of the first area according to the daily electricity consumption of the water supply plant, the daily electricity consumption of the sewage plant, the electricity consumption of the sewage plant and the regional water consumption of the first area; determining an energy consumption fluctuation score of the first area according to the energy consumption score;
determining the water quantity energy consumption score of the first area according to the energy consumption fluctuation score, the electricity consumption of the water supply plant in the first area before and after the detection date, the electricity consumption of the sewage plant and the medicine consumption; determining a second concealed conduit score for the first zone according to the water amount energy consumption score;
determining a surmise diagnostic score for a first region according to the first surmise score and the second surmise score; and determining whether the first area is provided with an underground pipe according to the underground pipe diagnosis score.
Further, in the above-mentioned method for detecting an underground pipe, the determining the water leakage influence index score of the detection date of each of the plurality of areas and the partition scale index score of the detection date includes:
acquiring the water consumption of a maintenance work order on a day before the corresponding date of the maintenance work order, the water consumption of a day after the corresponding date of the maintenance work order and the number of the maintenance work orders on the corresponding date according to the maintenance work order on the day of the first area in the plurality of areas; acquiring the number of resident users and historical water consumption data of a first area in a plurality of areas;
Determining a partition scale index score of a corresponding date according to the number of resident users and the historical water consumption data; determining a water leakage influence index score according to the water consumption of the maintenance work order on the day before the corresponding date, the water consumption of the maintenance work order on the day after the corresponding date, the number of the maintenance work orders on the corresponding date and the partition scale index score;
obtaining a time sequence according to the water leakage influence index scores of the historical maintenance work orders of the plurality of areas and the date combinations of the corresponding maintenance work orders, training the time sequence by using an LSTM-based prediction model to obtain a water leakage influence index prediction model, obtaining the water leakage influence index of each area detection date in the plurality of areas according to the water leakage influence index prediction model, and simultaneously obtaining the partition scale index score of the detection date.
Further, in the above-mentioned concealed pipe detection method, the water leakage influence water quantity score of each area detection date is determined according to the water leakage influence index of the detection date, the number of maintenance work orders of the detection date and the time from the last maintenance, and is determined by the following formula:
the partition water intensity score is determined according to the water consumption of the day of the detection date, the water leakage influence water consumption score of the detection date of the first area and the partition scale index score of the detection date by the following formula:
wherein ,a maintenance level score is indicated,the water leakage indicating the date of detection affects the water yield score,the number of repair worksheets indicating the date of detection,a partition scale index score representing the date of detection,a first judgment threshold value is set, a safe time upper limit for no leakage of the water pipe after maintenance is indicated,a second judgment threshold value is set, a safety time lower limit that the water pipe is not leaked after maintenance is indicated,indicating the water consumption on the day of the test date,the partition water intensity score is indicated,indicating the time from the last repair,water leakage influence index indicating the date of detection.
Further, in the above-mentioned method for detecting a concealed conduit, the first concealed conduit score of the first area is determined according to the water intensity score by the following formula:
wherein ,a third judgment threshold value is indicated to be set,a fourth judgment threshold value is indicated to be set,the number of partitions is indicated and the number of partitions is indicated,a fifth judgment threshold value is indicated to be set,a set sixth judgment threshold value is indicated,the water fluctuation score is indicated as a function of the water,for the water stability score of the area to be detected,the partition water intensity score is indicated,a first surreptitious tube score representing a first region.
Further, in the above-mentioned method for detecting a concealed conduit, according to the daily power consumption of the water supply plant, the daily power consumption of the sewage plant, the power consumption of the sewage plant, and the regional water consumption, the energy consumption score of the first region is determined by the following formula:
The energy consumption fluctuation score of the first area is determined according to the energy consumption score by the following formula:
wherein, ze represents the electricity consumption of a water supply plant every day, we represents the electricity consumption of a sewage plant, me represents the electricity consumption of the sewage plant, wa represents the regional water consumption,the energy consumption score of the region is indicated,the regional energy consumption fluctuation score is represented,the time domain range score is represented and,a number indicating a score corresponding to the detection date,a first correction constant is trained for historical data.
Further, in the above-mentioned method for detecting a concealed conduit, the water consumption score of the first area is determined according to the energy consumption fluctuation score, the power consumption of the water supply plant in the first area of the day before and the day after the detection date, the power consumption of the sewage plant, and the power consumption, by the following formula:
the second concealed conduit score for the first zone is determined from the water energy consumption score by the following formula:
wherein ,a set seventh judgment threshold value is indicated,the set eighth judgment threshold value is indicated,the regional energy consumption fluctuation score is represented,respectively represents the electricity consumption of the water supply plant in the areas of the day before and the day after the detection date,respectively represents the electricity consumption of the sewage plant in the areas of the day before and the day after the detection date, Respectively show the dosage of the sewage plant in the areas of the day before and the day after the detection date,a second surreptitious tube score representing the first region,representing the water energy consumption score of the first zone.
Further, in the above-mentioned method for detecting an concealed conduit, the concealed conduit diagnostic score of the first area is determined according to the first concealed conduit score and the second concealed conduit score by the following formula:
wherein ,a second surreptitious tube score representing the first region,a first surmise score representing a first region,a surmount diagnostic score representing the first region;
determining whether an underground pipe exists in the first area according to the underground pipe diagnosis score is performed by judging the underground pipe diagnosis score and a set ninth judgment threshold valueWhen the concealed conduit diagnostic score of the first area is greater than the set ninth judgment threshold valueWhen it is determined that a first zone has a dark tube.
In a second aspect, an embodiment of the present application further provides an apparatus for detecting a concealed pipe, including:
the dividing module: the device is used for dividing the area to be detected into a plurality of areas according to the water meter;
the dividing module: the device is used for dividing the area to be detected into a plurality of areas according to the water meter;
a first determination module: determining a water leakage impact index score for each of the plurality of zones on a detection date, a zone scale index score for the detection date, a number of maintenance work orders for the detection date, and a time from last maintenance;
A second determination module: the water leakage influence index score of each area detection date is determined according to the water leakage influence index score of the detection date, the number of maintenance work orders of the detection date and the time from last maintenance;
and a third determination module: the method comprises the steps of obtaining water consumption of a first area on a detection date in a plurality of areas, and determining a subarea water intensity score according to the water consumption on the detection date, a water leakage influence water consumption score of the first area on the detection date and a subarea scale index score of the detection date; determining a first surmise score for the first zone based on the water intensity score;
a fourth determination module: the energy consumption score of the first area is determined according to the daily electricity consumption of the water supply plant, the daily electricity consumption of the sewage plant and the regional water consumption of the first area; determining an energy consumption fluctuation score of the first area according to the energy consumption score;
a fifth determination module: the water quantity energy consumption score of the first area is determined according to the energy consumption fluctuation score, the electricity consumption of the water supply plant in the first area of the day before and the day after the detection date, the electricity consumption of the sewage plant and the medicine consumption; determining a second concealed conduit score of the first area according to the water quantity and energy consumption score;
A sixth determination module: determining an surmise diagnostic score for the first region based on the first surmise score and the second surmise score; determining whether an underground pipe exists in the first area according to the underground pipe diagnosis score.
In a third aspect, an embodiment of the present application further provides an electronic device, including: a processor and a memory;
the processor is configured to execute an concealed conduit detection method as described above by calling a program or instructions stored in the memory.
In a fourth aspect, embodiments of the present application also provide a computer-readable storage medium storing a program or instructions that cause a computer to perform an concealed conduit detection method as described above.
The embodiment of the application has the advantages that: dividing a region to be detected into a plurality of regions according to a water meter; determining a water leakage influence index score of a detection date, a partition scale index score of the detection date, the number of maintenance work orders of the detection date and the time from last maintenance; determining a water leakage influence water quantity score of the detection date according to the water leakage influence index score of the detection date, the number of maintenance work orders of the detection date and the time from the last maintenance; acquiring the water consumption of a first area in a plurality of areas on the day of detection, and determining a subarea water intensity score according to the water consumption on the day of detection, the water leakage influence water consumption score on the detection date and the subarea scale index score on the detection date; determining a first surging score for the first zone based on the water intensity score; determining the energy consumption score of the first area according to the daily electricity consumption of the water supply plant, the daily electricity consumption of the sewage plant, the electricity consumption of the sewage plant and the regional water consumption of the first area; determining an energy consumption fluctuation score of the first area according to the energy consumption score; determining the water quantity energy consumption score of the first area according to the energy consumption fluctuation score, the electricity consumption of the water supply plant in the first area before and after the detection date, the electricity consumption of the sewage plant and the medicine consumption; determining a second concealed conduit score of the first area according to the water quantity and energy consumption score; determining a surmise diagnostic score for the first region according to the first surmise score and the second surmise score; determining whether an underground pipe exists in the first area according to the underground pipe diagnosis score. The application can quickly determine whether the behavior of the private hidden pipe exists.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments or the conventional techniques of the present application, the drawings required for the descriptions of the embodiments or the conventional techniques will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present application, and other drawings may be obtained according to the drawings without inventive effort for those skilled in the art.
FIG. 1 is a schematic diagram of a method for detecting a concealed conduit according to an embodiment of the present application;
FIG. 2 is a schematic diagram of an apparatus for detecting a concealed conduit according to an embodiment of the present application;
fig. 3 is a schematic block diagram of an electronic device provided by an embodiment of the present disclosure.
Detailed Description
In order that the above objects, features and advantages of the application will be readily understood, a more particular description of the application will be rendered by reference to the appended drawings. In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present application. The application may be embodied in many other forms than described herein without departing from the spirit or essential characteristics thereof and, therefore, the application is not limited by the specific embodiments disclosed herein.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein in the description of the application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. The term "and/or" as used herein includes any and all combinations of one or more of the associated listed items.
Fig. 1 is a schematic diagram of a method for detecting a concealed pipe according to an embodiment of the present application.
In a first aspect, an embodiment of the present application provides a method for detecting a concealed pipe, in conjunction with fig. 1, including:
s101: dividing the area to be detected into a plurality of areas according to the water meter.
Specifically, in the embodiment of the present application, the area to be detected is divided into a plurality of areas according to the water meter, and the area to be detected may be a street, a region, etc. of the administrative area.
S102: the water leakage influence index of each area detection date, the partition scale index of the detection date, the number of maintenance work orders of the detection date and the time from the last maintenance are determined.
Specifically, in the embodiment of the present application, a method for determining the water leakage influence index of each detection date of the plurality of areas and the partition scale index of the detection date are described in detail below, and the number of maintenance work orders on the detection date and the time from the last maintenance are determined by the maintenance order.
S103: and determining the water leakage influence water quantity score of each area detection date according to the water leakage influence index of the detection date, the number of maintenance work orders of the detection date and the time from the last maintenance.
Specifically, in the embodiment of the present application, a method for determining the water leakage influence water quantity score of the detection date according to the water leakage influence index of the detection date, the number of maintenance work orders of the detection date and the time from the last maintenance is described in detail below.
S104: acquiring the water consumption of a first area on the detection date of the plurality of areas, and determining a partition water intensity score according to the water consumption of the first area on the detection date, the water leakage influence water consumption score of the first area on the detection date and the partition scale index of the detection date; a first surging score for the first zone is determined based on the water intensity score.
Specifically, in the embodiment of the application, the water consumption of a first area in a plurality of areas on the day of detection is acquired through a water meter, the first area is any one area in the plurality of areas, and the partition water intensity score is determined according to the water consumption on the day of detection, the water leakage influence water consumption score on the detection date and the partition scale index on the detection date; the method of determining the first surreptitious tube score for the first zone based on the water intensity score is described in detail below.
S105: determining energy consumption scores of the first area according to the daily electricity consumption of the water supply plant, the daily electricity consumption of the sewage plant and the regional water consumption of the first area; and determining an energy consumption fluctuation score of the first area according to the energy consumption score.
Specifically, in the embodiment of the application, the energy consumption score of the first area is determined according to the daily power consumption of the water supply plant, the daily power consumption of the sewage plant and the regional water consumption of the first area; the method of determining the energy consumption fluctuation score of the first region based on the energy consumption score is described in detail below.
S106: determining the water quantity energy consumption score of the first area according to the energy consumption fluctuation score, the electricity consumption of the water supply plant in the first area before and after the detection date, the electricity consumption of the sewage plant and the medicine consumption; and determining a second concealed conduit score of the first area according to the water quantity energy consumption score.
Specifically, in the embodiment of the application, the water quantity energy consumption score of the first area is determined according to the energy consumption fluctuation score, the electricity consumption of the water supply plant in the first area before and after the detection date, the electricity consumption of the sewage plant and the medicine consumption; the method for determining the second surreptitious tube score for the first zone based on the water energy consumption score is described in detail below.
S107: determining a surmise diagnostic score for the first region according to the first surmise score and the second surmise score; determining whether an underground pipe exists in the first area according to the underground pipe diagnosis score.
Specifically, in the embodiment of the application, the concealed conduit diagnosis score of the first area is determined according to the first concealed conduit score and the second concealed conduit score; the method of determining whether an concealed conduit is present in the first area based on the concealed conduit diagnostic score is described in detail below.
Further, in the above-mentioned method for detecting a concealed conduit, determining a water leakage influence index of a detection date of each of a plurality of areas and a partition scale index of the detection date includes:
acquiring the water consumption of a maintenance work order on a day before the corresponding date of the maintenance work order, the water consumption of a day after the corresponding date of the maintenance work order and the number of the maintenance work orders on the corresponding date according to the maintenance work order on the day of the first area in the plurality of areas; acquiring the number of resident users and historical water consumption data of a first area in a plurality of areas;
determining a partition scale index score of a corresponding date according to the number of resident users and the historical water consumption data; determining a water leakage influence index score according to the water consumption of the maintenance work order on the day before the corresponding date, the water consumption of the maintenance work order on the day after the corresponding date, the number of the maintenance work orders on the corresponding date and the partition scale index score;
specifically, in the embodiment of the application, the partition scale index score of the corresponding date is determined according to the number of resident users and the historical water consumption data, and is determined by the following formula:
wherein ,indicating the index score of the resident user,Representing the non-resident user sub-index score,indicating the number of resident users,representing the partition size index score,indicating the index score of the resident user,The sub-index scores representing non-residential users are all determined by historical water usage data:
resident user sub-index scoreThe calculation steps are as follows:
step one: according to dateFirstly, acquiring water consumption data of resident users in the daily district；
Step two: according to dateThe average value of the average water consumption data of all resident users in the whole city for 7 days in total is obtained from the historical dataWherein j is year, training the time sequence by using a prediction model based on LSTM to obtain a prediction model, and predicting to obtain a predicted value of average water consumption of people in the current year；
Step three: substituting formula to calculate
；
Non-resident user sub-index scoreThe calculation steps are as follows:
step one: according to dateFirstly, acquiring water consumption data of non-resident users in the daily partition；
Step two: daily average water consumption data for the month based on the total monthly non-resident water consumption and the number of days of the monthAnd the time series is formed with the corresponding date, the time series is trained by using a prediction model based on LSTM to obtain a non-resident user water consumption prediction model, and the model is used to obtain the daily average water consumption predicted value of the current month ；
Step three: substituting formula to calculate
；
The water leakage influence index score is determined according to the water consumption of the maintenance work order on the day before the corresponding date, the water consumption of the maintenance work order on the day after the corresponding date, the number of the maintenance work orders on the corresponding date and the partition scale index score, and is determined by the following formula:
representing the corresponding date of the maintenance work orderThe water consumption of the partition of the previous day,representing the corresponding date of the maintenance work orderThe water consumption of the partition of the following day,indicating the water leakage impact index score.
Obtaining a time sequence according to the water leakage influence index scores of the historical maintenance work orders of the plurality of areas and the date combination of the corresponding maintenance work ordersTraining the time sequence by using an LSTM-based prediction model to obtain a water leakage influence index prediction model, obtaining a water leakage influence index of each region detection date in a plurality of regions according to the water leakage influence index prediction model, and simultaneously obtaining a partition scale index score of the detection date.
Further, in the above-mentioned concealed conduit detection method, the water leakage influence water quantity score of each area detection date is determined according to the water leakage influence index score of the detection date, the number of maintenance work orders of the detection date and the time from the last maintenance, and is determined by the following formula:
The partition water intensity score is determined according to the water consumption of the day of the detection date, the water leakage influence water consumption score of the detection date of the first area and the partition scale index score of the detection date by the following formula:
wherein ,a maintenance level score is indicated,the water leakage indicating the date of detection affects the water yield score,the number of repair worksheets indicating the date of detection,a partition scale index score representing the date of detection,a first judgment threshold value is set, a safe time upper limit for no leakage of the water pipe after maintenance is indicated,a second judgment threshold value is set, a safety time lower limit that the water pipe is not leaked after maintenance is indicated,indicating the water consumption on the day of the test date,the partition water intensity score is indicated,indicating the time from the last repair,indicating the water leakage impact index score.
Further, in the above-mentioned method for detecting a concealed conduit, the first concealed conduit score of the first area is determined according to the water intensity score by the following formula:
wherein ,a third judgment threshold value is indicated to be set,a fourth judgment threshold value is indicated to be set,the number of partitions is indicated and the number of partitions is indicated,a fifth judgment threshold value is indicated to be set,a set sixth judgment threshold value is indicated, The score was calculated using the water fluctuation,，the partition water intensity score is indicated,a first surreptitious tube score representing a first region.
Further, in the above-mentioned method for detecting a concealed conduit, according to the daily power consumption of the water supply plant, the daily power consumption of the sewage plant, the power consumption of the sewage plant, and the regional water consumption, the energy consumption score of the first region is determined by the following formula:
the energy consumption fluctuation score of the first area is determined according to the energy consumption score by the following formula:
wherein, ze represents the electricity consumption of a water supply plant every day, we represents the electricity consumption of a sewage plant, me represents the electricity consumption of the sewage plant, wa represents the regional water consumption,the energy consumption score of the region is indicated,the regional energy consumption fluctuation score is represented,the time domain range score is represented and,a number indicating a score corresponding to the detection date,a first correction constant is trained for historical data.
Further, in the above-mentioned method for detecting a concealed conduit, the water consumption score of the first area is determined according to the energy consumption fluctuation score, the power consumption of the water supply plant in the first area of the day before and the day after the detection date, the power consumption of the sewage plant, and the power consumption, by the following formula:
the second concealed conduit score for the first zone is determined from the water energy consumption score by the following formula:
wherein ,a set seventh judgment threshold value is indicated,the set eighth judgment threshold value is indicated,the regional energy consumption fluctuation score is represented,respectively represents the electricity consumption of the water supply plant in the areas of the day before and the day after the detection date,respectively represents the electricity consumption of the sewage plant in the areas of the day before and the day after the detection date,respectively show the dosage of the sewage plant in the areas of the day before and the day after the detection date,a second surreptitious tube score representing the first region,representing the water energy consumption score of the first zone.
Further, in the above-mentioned method for detecting an concealed conduit, the concealed conduit diagnostic score of the first area is determined according to the first concealed conduit score and the second concealed conduit score by the following formula:
wherein ,a second surreptitious tube score representing the first region,a first surmise score representing a first region,a surmount diagnostic score representing the first region;
determining whether an underground pipe exists in the first area according to the underground pipe diagnosis score is performed by judging the underground pipe diagnosis score and a set ninth judgment threshold valueWhen the concealed conduit diagnostic score of the first area is greater than the set ninth judgment threshold valueWhen it is determined that a first zone has a dark tube.
Fig. 2 is a schematic diagram of an apparatus for detecting a concealed conduit according to an embodiment of the present application.
In a second aspect, an embodiment of the present application further provides an apparatus for detecting a concealed pipe, with reference to fig. 2, including:
the division module 201: the device is used for dividing the area to be detected into a plurality of areas according to the water meter;
the dividing module 202: the device is used for dividing the area to be detected into a plurality of areas according to the water meter;
the first determination module 203: determining a water leakage impact index score for each of the plurality of zones on a detection date, a zone scale index score for the detection date, a number of maintenance work orders for the detection date, and a time from last maintenance;
the second determination module 204: the water leakage influence index score of each area detection date is determined according to the water leakage influence index score of the detection date, the number of maintenance work orders of the detection date and the time from last maintenance;
and a third determination module: the method comprises the steps of obtaining water consumption of a first area on a detection date in a plurality of areas, and determining a subarea water intensity score according to the water consumption on the detection date, a water leakage influence water consumption score of the first area on the detection date and a subarea scale index score of the detection date; determining a first surmise score for the first zone based on the water intensity score;
a fourth determination module 205: the energy consumption score of the first area is determined according to the daily electricity consumption of the water supply plant, the daily electricity consumption of the sewage plant and the regional water consumption of the first area; determining an energy consumption fluctuation score of the first area according to the energy consumption score;
A fifth determination module 206: the water quantity energy consumption score of the first area is determined according to the energy consumption fluctuation score, the electricity consumption of the water supply plant in the first area of the day before and the day after the detection date, the electricity consumption of the sewage plant and the medicine consumption; determining a second concealed conduit score of the first area according to the water quantity and energy consumption score;
a sixth determination module 207: determining an surmise diagnostic score for the first region based on the first surmise score and the second surmise score; determining whether an underground pipe exists in the first area according to the underground pipe diagnosis score.
In a third aspect, an embodiment of the present invention further provides an electronic device, including: a processor and a memory;
the processor is configured to execute an concealed conduit detection method as described above by calling a program or instructions stored in the memory.
In a fourth aspect, embodiments of the present invention also provide a computer-readable storage medium storing a program or instructions that cause a computer to perform an concealed conduit detection method as described above.
Fig. 3 is a schematic block diagram of an electronic device provided by an embodiment of the present disclosure.
As shown in fig. 3, the electronic device includes: at least one processor 301, at least one memory 302, and at least one communication interface 303. The various components in the electronic device are coupled together by a bus system 304. A communication interface 303 for information transfer with an external device. It is understood that bus system 304 is used to enable connected communications between these components. The bus system 304 includes a power bus, a control bus, and a status signal bus in addition to the data bus. The various buses are labeled in fig. 3 as bus system 304 for clarity of illustration.
It is to be understood that the memory 302 in this embodiment may be either volatile memory or nonvolatile memory, or may include both volatile and nonvolatile memory.
In some implementations, the memory 302 stores the following elements, executable units or data structures, or a subset thereof, or an extended set thereof: an operating system and application programs.
The operating system includes various system programs, such as a framework layer, a core library layer, a driving layer, and the like, and is used for realizing various basic services and processing hardware-based tasks. Applications, including various applications such as Media Player (Media Player), browser (Browser), etc., are used to implement various application services. The program for implementing any one of the methods for detecting the concealed conduit provided by the embodiment of the present application may be included in the application program.
In the embodiment of the present application, the processor 301 is configured to execute the steps of each embodiment of the method for detecting an concealed pipe provided by the embodiment of the present application by calling a program or an instruction stored in the memory 302, specifically, a program or an instruction stored in an application program.
Dividing a region to be detected into a plurality of regions according to the water meter;
Determining a partition scale index score for each of the plurality of regions on a detection date, a number of maintenance work orders on the detection date, and a time since last maintenance;
determining a water leakage influence water quantity score of the detection date according to the partition scale index score of the detection date of each area, the number of maintenance work orders of the detection date and the time from the last maintenance;
acquiring the water consumption of a first area on the detection date of the plurality of areas, and determining a subarea water intensity score according to the water consumption of the first area on the detection date, the water leakage influence water consumption score of the first area on the detection date and the subarea scale index score of the detection date; determining a first surging score for the first zone based on the water intensity score;
determining energy consumption scores of the first area according to the daily electricity consumption of the water supply plant, the daily electricity consumption of the sewage plant and the regional water consumption of the first area; determining an energy consumption fluctuation score of the first area according to the energy consumption score;
determining the water quantity energy consumption score of the first area according to the energy consumption fluctuation score, the electricity consumption of the water supply plant in the first area before and after the detection date, the electricity consumption of the sewage plant and the medicine consumption; determining a second concealed conduit score of the first area according to the water quantity and energy consumption score;
Determining a surmise diagnostic score for the first region according to the first surmise score and the second surmise score; determining whether an underground pipe exists in the first area according to the underground pipe diagnosis score.
Any one of the methods for detecting an concealed pipe provided in the embodiments of the present application may be applied to the processor 301, or implemented by the processor 301. The processor 301 may be an integrated circuit chip with signal capabilities. In implementation, the steps of the above method may be performed by integrated logic circuitry of hardware in the processor 301 or instructions in the form of software. The processor 301 may be a general purpose processor, a digital signal processor (Digital Signal Processor, DSP), an application specific integrated circuit (Application Specific Integrated Circuit, ASIC), an off-the-shelf programmable gate array (Field Programmable Gate Array, FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The steps of any one of the methods provided in the embodiments of the present application may be directly embodied in the execution of a hardware decoding processor, or may be executed by a combination of hardware and software units in the decoding processor. The software elements may be located in a random access memory, flash memory, read-only memory, programmable read-only memory or electrically erasable programmable memory, registers, etc. as well known in the art. The storage medium is located in a memory 302, and the processor 301 reads the information in the memory 302, and in combination with its hardware, performs the steps of a method for detecting an concealed conduit.
Those skilled in the art will appreciate that while some embodiments described herein include some features but not others included in other embodiments, combinations of features of different embodiments are meant to be within the scope of the application and form different embodiments.
Those skilled in the art will appreciate that the descriptions of the various embodiments are each focused on, and that portions of one embodiment that are not described in detail may be referred to as related descriptions of other embodiments.
The present application is not limited to the above embodiments, and various equivalent modifications and substitutions can be easily made by those skilled in the art within the technical scope of the present application, and these modifications and substitutions are intended to be included in the scope of the present application. Therefore, the protection scope of the application is subject to the protection scope of the claims.
Claims (4)
1. The concealed conduit detection method is characterized by comprising the following steps of:
dividing a region to be detected into a plurality of regions according to the water meter;
determining a water leakage influence index score of each area detection date, a partition scale index score of the detection date, the number of maintenance work orders of the detection date and the time from the last maintenance in the plurality of areas;
Determining the water leakage influence water quantity score of each area detection date according to the water leakage influence index score of the detection date, the number of maintenance work orders of the detection date and the time from the last maintenance;
acquiring the water consumption of a first area on the detection date of the plurality of areas, and determining a partition water intensity score according to the water consumption of the first area on the detection date, the water leakage influence water consumption score of the first area on the detection date and the partition scale index score of the detection date; determining a first surmise score for the first zone based on the water intensity score;
determining the energy consumption score of the first area according to the daily electricity consumption of the water supply plant, the daily electricity consumption of the sewage plant, the electricity consumption of the sewage plant and the regional water consumption of the first area; determining an energy consumption fluctuation score of the first area according to the energy consumption score;
determining the water quantity energy consumption score of the first area according to the energy consumption fluctuation score, the electricity consumption of the water supply plant in the first area before and after the detection date, the electricity consumption of the sewage plant and the medicine consumption; determining a second concealed conduit score for the first zone according to the water amount energy consumption score;
determining a surmise diagnostic score for a first region according to the first surmise score and the second surmise score; determining whether an underground pipe exists in the first area according to the underground pipe diagnosis score;
The determining the water leakage influence index score of each of the plurality of areas on the detection date and the partition scale index score of the detection date comprises the following steps:
acquiring the water consumption of a maintenance work order on a day before the corresponding date of the maintenance work order, the water consumption of a day after the corresponding date of the maintenance work order and the number of the maintenance work orders on the corresponding date according to the maintenance work order on the day of the first area in the plurality of areas; acquiring the number of resident users and historical water consumption data of a first area in a plurality of areas;
determining a partition scale index score of a corresponding date according to the number of resident users and the historical water consumption data; determining a water leakage influence index score according to the water consumption of the maintenance work order on the day before the corresponding date, the water consumption of the maintenance work order on the day after the corresponding date, the number of the maintenance work orders on the corresponding date and the partition scale index score;
obtaining a time sequence according to the water leakage influence index scores of the historical maintenance work orders of the plurality of areas and the date combinations of the corresponding maintenance work orders, training the time sequence by using an LSTM-based prediction model to obtain a water leakage influence index prediction model, obtaining the water leakage influence index of each area detection date in the plurality of areas according to the water leakage influence index prediction model, and simultaneously obtaining the partition scale index score of the detection date;
The water leakage influence water quantity score of each area detection date is determined according to the water leakage influence index score of the detection date, the number of maintenance work orders of the detection date and the time from the last maintenance, and is determined by the following formula:
；
；
determining a partition water intensity score according to the water consumption of the day of the detection date, the water leakage influence water consumption score of the detection date of the first area and the partition scale index score of the detection date is determined by the following formula:
；
wherein ,indicating a maintenance level score->Water leakage influence water yield score indicating detection date, +.>Number of maintenance work orders indicating date of detection, +.>Partition size index score indicating date of detection, +.>A first judgment threshold value is set, and the upper limit of safety time for preventing the water pipe from leaking after maintenance is indicated by +.>A second judgment threshold value is set, and the safety time lower limit of no leakage of the water pipe after maintenance is indicated, and +.>Water consumption indicating the day of the test date, +.>Indicating partition water intensity score @>Indicating the time since last maintenance, +.>A water leakage impact index score;
the first surging score of the first area determined according to the water intensity score is determined by the following formula:
；
；
；
wherein ,represents a third decision threshold value set, +.>Represents a fourth decision threshold value set, +.>The number of partitions is indicated and the number of partitions is indicated,represents a fifth judgment threshold value of the setting, +.>Represents a sixth judgment threshold value of the setting, +.>Indicating water fluctuation score,/->For the water stability score of the area to be detected, < +.>Indicating partition water intensity score @>A first surreptitious tube score representing a first region;
the energy consumption score of the first area is determined according to the daily electricity consumption of the water supply plant, the daily electricity consumption of the sewage plant and the regional water consumption of the first area by the following formula:
；
determining an energy consumption fluctuation score of the first area according to the energy consumption score is determined by the following formula:
；
；
wherein, ze represents the electricity consumption of a water supply plant every day, we represents the electricity consumption of a sewage plant, me represents the electricity consumption of the sewage plant, wa represents the regional water consumption,representing regional energy score, < >>Representing regional energy fluctuation score,/->Representing a time domain range score,/->Sequence number indicating score corresponding to date of detection, +.>Training historical data to obtain a first correction constant;
the water quantity energy consumption score of the first area is determined according to the energy consumption fluctuation score, the electricity consumption of the water supply plant in the first area before and after the detection date, the electricity consumption of the sewage plant and the medicine consumption, and is determined by the following formula:
；
The second concealed conduit score of the first area is determined according to the water consumption score by the following formula:
；
wherein ,represents a seventh judgment threshold value of the setting, +.>Represents a set eighth judgment threshold value, +.>Representing regional energy fluctuation score,/->Respectively represents the electricity consumption of the water supply plant in the areas of the day before and the day after the detection date,respectively representing the electricity consumption of the sewage plant in the areas of the day before and the day after the detection date, < + >>The dosage of the sewage plant in the area of the day before and the day after the detection date is respectively shown, and the dosage of the sewage plant is->A second surreptitious tube score, indicative of the first region, < >>Water energy consumption fraction representing the first zone,/->Training historical data to obtain a first correction constant;
the determining the surmount diagnostic score for the first region based on the first surmount score and the second surmount score is determined by the following formula:
；
wherein ,a second surreptitious tube score, indicative of the first region, < >>A first surreptitious tube score representing a first region, < ->A surmount diagnostic score representing the first region;
the determining whether the first area has the concealed conduit according to the concealed conduit diagnostic score is performed by judging the concealed conduit diagnostic score and a set ninth judgment thresholdWhen the concealed conduit diagnostic score of the first area is greater than the set ninth judgment threshold +. >When it is determined that a first zone has a dark tube.
2. An concealed conduit detection device, comprising:
the dividing module: the device is used for dividing the area to be detected into a plurality of areas according to the water meter;
a first determination module: determining a water leakage impact index score for each of the plurality of zones on a detection date, a zone scale index score for the detection date, a number of maintenance work orders for the detection date, and a time from last maintenance;
a second determination module: the water leakage influence index score of each area detection date is determined according to the water leakage influence index score of the detection date, the number of maintenance work orders of the detection date and the time from last maintenance;
and a third determination module: the method comprises the steps of obtaining water consumption of a first area on a detection date in a plurality of areas, and determining a subarea water intensity score according to the water consumption on the detection date, a water leakage influence water consumption score of the first area on the detection date and a subarea scale index score of the detection date; determining a first surmise score for the first zone based on the water intensity score;
a fourth determination module: the energy consumption score of the first area is determined according to the daily electricity consumption of the water supply plant, the daily electricity consumption of the sewage plant and the regional water consumption of the first area; determining an energy consumption fluctuation score of the first area according to the energy consumption score;
A fifth determination module: the water quantity energy consumption score of the first area is determined according to the energy consumption fluctuation score, the electricity consumption of the water supply plant in the first area of the day before and the day after the detection date, the electricity consumption of the sewage plant and the medicine consumption; determining a second concealed conduit score for the first zone according to the water amount energy consumption score;
a sixth determination module: determining an surmised diagnostic score for a first region based on the first surmised score and the second surmised score; determining whether an underground pipe exists in the first area according to the underground pipe diagnosis score;
the determining the water leakage influence index score of each of the plurality of areas on the detection date and the partition scale index score of the detection date comprises the following steps:
acquiring the water consumption of a maintenance work order on a day before the corresponding date of the maintenance work order, the water consumption of a day after the corresponding date of the maintenance work order and the number of the maintenance work orders on the corresponding date according to the maintenance work order on the day of the first area in the plurality of areas; acquiring the number of resident users and historical water consumption data of a first area in a plurality of areas;
determining a partition scale index score of a corresponding date according to the number of resident users and the historical water consumption data; determining a water leakage influence index score according to the water consumption of the maintenance work order on the day before the corresponding date, the water consumption of the maintenance work order on the day after the corresponding date, the number of the maintenance work orders on the corresponding date and the partition scale index score;
Obtaining a time sequence according to the water leakage influence index scores of the historical maintenance work orders of the plurality of areas and the date combinations of the corresponding maintenance work orders, training the time sequence by using an LSTM-based prediction model to obtain a water leakage influence index prediction model, obtaining the water leakage influence index of each area detection date in the plurality of areas according to the water leakage influence index prediction model, and simultaneously obtaining the partition scale index score of the detection date;
the water leakage influence water quantity score of each area detection date is determined according to the water leakage influence index score of the detection date, the number of maintenance work orders of the detection date and the time from the last maintenance, and is determined by the following formula:
；
；
determining a partition water intensity score according to the water consumption of the day of the detection date, the water leakage influence water consumption score of the detection date of the first area and the partition scale index score of the detection date is determined by the following formula:
；
wherein ,indicating a maintenance level score->Water leakage influence water yield score indicating detection date, +.>Number of maintenance work orders indicating date of detection, +.>Partition size index score indicating date of detection, +.>A first judgment threshold value is set, and the upper limit of safety time for preventing the water pipe from leaking after maintenance is indicated by +. >A second judgment threshold value is set, and the safety time lower limit of no leakage of the water pipe after maintenance is indicated, and +.>Water consumption indicating the day of the test date, +.>Indicating partition water intensity score @>Indicating the time since last maintenance, +.>A water leakage impact index score;
the first surging score of the first area determined according to the water intensity score is determined by the following formula:
；
；
；
wherein ,represents a third decision threshold value set, +.>Represents a fourth decision threshold value set, +.>The number of partitions is indicated and the number of partitions is indicated,represents a fifth judgment threshold value of the setting, +.>Represents a sixth judgment threshold value of the setting, +.>Indicating water fluctuation score,/->For the water stability score of the area to be detected, < +.>Indicating partition water intensity score @>A first surreptitious tube score representing a first region;
the energy consumption score of the first area is determined according to the daily electricity consumption of the water supply plant, the daily electricity consumption of the sewage plant and the regional water consumption of the first area by the following formula:
；
determining an energy consumption fluctuation score of the first area according to the energy consumption score is determined by the following formula:
；
；
wherein, ze represents the electricity consumption of a water supply plant every day, we represents the electricity consumption of a sewage plant, me represents the electricity consumption of the sewage plant, wa represents the regional water consumption, Representing regional energy score, < >>Representing regional energy fluctuation score,/->Representing a time domain range score,/->Sequence number indicating score corresponding to date of detection, +.>Training historical data to obtain a first correction constant;
the water quantity energy consumption score of the first area is determined according to the energy consumption fluctuation score, the electricity consumption of the water supply plant in the first area before and after the detection date, the electricity consumption of the sewage plant and the medicine consumption, and is determined by the following formula:
；
the second concealed conduit score of the first area is determined according to the water consumption score by the following formula:
；
wherein ,represents a seventh judgment threshold value of the setting, +.>Represents a set eighth judgment threshold value, +.>Representing regional energy fluctuation score,/->Respectively represents the electricity consumption of the water supply plant in the areas of the day before and the day after the detection date,respectively represent the sewage plants in the areas of the day before and the day after the detection dateIs (are) the electricity consumption of the car>The dosage of the sewage plant in the area of the day before and the day after the detection date is respectively shown, and the dosage of the sewage plant is->A second surreptitious tube score, indicative of the first region, < >>Water energy consumption fraction representing the first zone,/->Training historical data to obtain a first correction constant;
the determining the surmount diagnostic score for the first region based on the first surmount score and the second surmount score is determined by the following formula:
；
wherein ,a second surreptitious tube score, indicative of the first region, < >>A first surreptitious tube score representing a first region, < ->A surmount diagnostic score representing the first region;
the determining whether the first area has the concealed conduit according to the concealed conduit diagnostic score is performed by judging the concealed conduit diagnostic score and a set ninth judgment thresholdWhen the first region has a large diagnostic scoreA ninth judgment threshold value set as described above +.>When it is determined that a first zone has a dark tube.
3. An electronic device, comprising: a processor and a memory;
the processor is configured to execute an concealed pipe detection method according to claim 1 by calling a program or instructions stored in the memory.
4. A computer-readable storage medium storing a program or instructions that cause a computer to perform an concealed conduit detection method as claimed in claim 1.
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