CN117494941A - Household water data processing method, device and equipment - Google Patents
Household water data processing method, device and equipment Download PDFInfo
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Abstract
The invention provides a processing method, device and equipment for household water data, and relates to the technical field of data science. The problem that abnormal water consumption condition cannot be found in time and leakage alarm cannot be sent out when abnormal water consumption is caused in the using process of the conventional household water meter is solved. The household water data processing method comprises the following steps: acquiring water consumption data of each family in a preset time; preprocessing all the water consumption data to obtain at least one target data; acquiring a first reference value of a family according to the monthly water consumption of the family corresponding to the target data; and carrying out first early warning prompt according to the target data and the first reference value. The scheme of the invention realizes real-time monitoring of household water consumption and leakage alarm during abnormal water consumption, and reduces waste of water resources.
Description
Technical Field
The invention relates to the technical field of data science, in particular to a method, a device and equipment for processing household water data.
Background
Along with the acceleration of urban progress and population growth, effective management and protection of water resources become particularly important, and in urban water supply systems, water meters are important equipment for monitoring water consumption, however, due to the limitation of limited human resources and manual monitoring, the traditional water meter monitoring mode often cannot timely find out abnormal conditions and cannot timely send out leakage alarms, so that problems of water resource waste and insufficient supply are caused.
Disclosure of Invention
The invention provides a method, a device and equipment for processing household water data. The problem that abnormal water consumption condition cannot be found in time and leakage alarm cannot be sent out when abnormal water consumption is caused in the using process of the conventional household water meter is solved.
In order to solve the technical problems, the technical scheme of the invention is as follows:
the embodiment of the invention provides a processing method of household water data, which comprises the following steps:
acquiring water consumption data of each family in a preset time;
preprocessing all the water consumption data to obtain at least one target data;
acquiring a first reference value of a family according to the monthly water consumption of the family corresponding to the target data;
and carrying out first early warning prompt according to the target data and the first reference value.
Optionally, obtaining water consumption data of each of the plurality of households within a preset time includes:
acquiring monitoring data of the current household water meter once every preset time through flow monitoring equipment of each household water meter;
and subtracting the last monitoring data from the current monitoring data of the household water meter to obtain water consumption data of the household in a preset time.
Optionally, preprocessing all the water consumption data to obtain at least one target data, including:
eliminating zero and null data in all water consumption data to obtain first data to be processed; wherein, the water consumption data is zero, which indicates that no water is used in the current preset time period of the current household; the water consumption data is empty, which indicates that at least one monitoring data is lack;
removing all data which are larger than a first preset value from the first data to be processed, and obtaining second data to be processed; the first preset value is determined according to the maximum water consumption accumulation of the household water meter in preset time;
and acquiring at least one target data according to the second data to be processed.
Optionally, acquiring at least one target data according to the second data to be processed includes:
acquiring initial reference values of households corresponding to all data in the second data to be processed, wherein the initial reference values are actual meter reading values of the households in the beginning of the month of the water meter;
acquiring the current actual values of the household water meters corresponding to all the data in the second data to be processed;
and eliminating the data of which the current actual value is smaller than the corresponding initial reference value from the second data to be processed, and obtaining at least one target data.
Optionally, the method for processing household water data further includes:
acquiring first family information corresponding to empty data in all water consumption data;
acquiring second family information corresponding to data of which the current actual numerical value is smaller than the corresponding initial reference value in second data to be processed;
performing second early warning prompt according to the first family information;
and carrying out third early warning prompt according to the second family information.
Optionally, the obtaining a first reference value of the family according to the monthly water consumption of the family corresponding to the target data includes:
acquiring average water consumption of a family per hour according to the monthly water consumption of the family corresponding to the target data;
multiplying the average water consumption of the family per hour by a first preset coefficient to obtain a first reference value of the family.
Optionally, according to the target data and the first reference value, performing a first early warning prompt includes:
acquiring a first flow value of a family corresponding to each target data in a preset time;
comparing the first flow value of each household in the preset time with the first reference value of the corresponding household, and carrying out first early warning prompt information when the first flow value is larger than the corresponding first reference value.
The embodiment of the invention also provides a processing device of household water data, comprising:
the acquisition module is used for acquiring water consumption data of each household in a preset time;
the processing module is used for preprocessing all the water consumption data to obtain at least one target data; acquiring a first reference value of a family according to the monthly water consumption of the family corresponding to the target data; and carrying out first early warning prompt according to the target data and the first reference value.
Embodiments of the present invention also provide a computing device comprising: and a processor, a memory storing a computer program which, when executed by the processor, performs the method of processing household water data described above.
Embodiments of the present invention also provide a computer-readable storage medium including: instructions are stored that, when executed on a computer, cause the computer to perform the method of processing household water data described above.
The scheme of the invention at least comprises the following beneficial effects:
according to the scheme, the water consumption data of a plurality of families in a preset time are obtained; preprocessing all the water consumption data to obtain at least one target data; acquiring a first reference value of a family according to the monthly water consumption of the family corresponding to the target data; and carrying out first early warning prompt according to the target data and the first reference value. The real-time monitoring of the water consumption of the household and the leakage alarm during abnormal water consumption are realized, and the waste of water resources is reduced.
Drawings
FIG. 1 is a flow chart of a method of processing household water data according to the present invention;
FIG. 2 is a schematic illustration of a specific process of the method for processing household water data according to the present invention;
fig. 3 is a schematic diagram of a household water data processing apparatus according to the present invention.
Detailed Description
Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present invention are shown in the drawings, it should be understood that the present invention may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.
As shown in fig. 1 and 2, an embodiment of the present invention provides a method for processing household water data, including:
step 11, acquiring water consumption data of each family in a preset time;
step 12, preprocessing all the water consumption data to obtain at least one target data;
step 13, acquiring a first reference value of a family according to the monthly water consumption of the family corresponding to the target data;
and step 14, performing first early warning prompt according to the target data and the first reference value.
In this embodiment, the processing method of household water consumption data obtains at least one target data by preprocessing all the water consumption data, and carries out the first early warning prompt according to the target data, thereby solving the problems that the abnormal water consumption condition cannot be found in time and the leakage alarm cannot be sent out when the abnormal water consumption is abnormal in the use process of the existing household water meter, realizing all the real-time monitoring of household water consumption and the leakage alarm when the abnormal water consumption is abnormal, and reducing the waste of water resources.
In an alternative embodiment of the present invention, step 11 may include:
acquiring monitoring data of the current household water meter once every preset time through flow monitoring equipment of each household water meter;
and subtracting the last monitoring data from the current monitoring data of the household water meter to obtain water consumption data of the household in a preset time.
In this embodiment, the flow monitoring device may be a camera remote water meter, where the camera remote water meter performs real-time shooting transmission on water meter data through a camera; in a preferred embodiment, the camera remote water meter transmits monitoring data once every 8 hours, three times a day; the transmitted monitoring data are all accumulated water consumption values, and the water consumption data of the household at the interval of two transmission (namely the water consumption data of the household in a preset time) are acquired by subtracting the last monitoring data from the monitoring data of the current household water meter.
In an alternative embodiment of the present invention, step 12 may include:
step 121, eliminating the data which are zero and null in all water consumption data, and obtaining first data to be processed; wherein, the water consumption data is zero, which indicates that no water is used in the current preset time period of the current household; the water consumption data is empty, which indicates that at least one monitoring data is lack;
step 122, eliminating all data larger than the first preset value in the first data to be processed, and obtaining second data to be processed; the first preset value is determined according to the maximum water consumption accumulation of the household water meter in preset time;
and step 123, obtaining at least one target data according to the second data to be processed.
In this embodiment, the fact that the water consumption data is empty indicates that at least one monitoring data is missing, specifically, in the continuous transmission process of the imaging remote water meter, at least one monitoring data is not transmitted remotely due to the fault or the network problem of the imaging remote water meter; according to the embodiment, the water consumption data is preprocessed, so that abnormal data in the water consumption data are filtered, and target data are obtained; the method specifically comprises the steps of firstly judging whether the water consumption is zero or null for the acquired water consumption data, and judging whether the water consumption is zero or not, wherein the condition of zero indicates that no water is used in a preset time period or no meter is left due to the fact that the water consumption is very small, and the data is filtered and the next step of judgment is not carried out; if the water consumption is empty, indicating that the water meter does not return a numerical value, and filtering part of data without further judgment; then eliminating all data which are larger than a first preset value in the first data to be processed, and obtaining second data to be processed; it should be noted that, the maximum cumulative water consumption of the household water meter in the preset time can be obtained through the caliber of the water outlet of the household water meter, and the common water meters of the household water meter at present are 15 and 20; assuming that the caliber of the household water meter is 15 and 20, wherein the maximum water yield of the 15 caliber water meter for one day is 36 tons, the maximum water yield of the 20 caliber water meter for one hour is 1.5 tons, the maximum water yield of the 20 caliber water meter for one hour is 60 tons, the maximum water yield of the household water meter for one hour is 2.5 tons, and the preset time is 8 hours, and the maximum water accumulation amount of the household water meter in the preset time is 8 multiplied by 2.5=20 tons; the first preset value may be set to 20;
in this embodiment, when the caliber of the water outlet of the household water meter is multiple, in a preferred embodiment, the obtaining the second data to be processed further includes: acquiring the water outlet calibers of all household water meters corresponding to the first data to be processed; and then removing the data which are larger than the preset caliber from the first data to be processed, obtaining third data to be processed, removing the data which are larger than the first preset value from all the third data to be processed, and obtaining second data to be processed.
In an alternative embodiment of the present invention, step 123 may include:
acquiring initial reference values of households corresponding to all data in the second data to be processed, wherein the initial reference values are actual meter reading values of the households in the beginning of the month of the water meter;
acquiring the current actual values of the household water meters corresponding to all the data in the second data to be processed;
and eliminating the data of which the current actual value is smaller than the corresponding initial reference value from the second data to be processed, and obtaining at least one target data.
In this embodiment, the initial reference value is a value obtained by correcting the accumulated water amount of the water meter when the meter reader settles the water fee in the beginning of the month; acquiring the current actual numerical value of the household water meter corresponding to all data in the second data to be processed, specifically the latest monitoring data of the household water meter; therefore, in the second data to be processed, the current actual value corresponding to all the data is equal to or greater than the initial reference value as a normal condition, but if the current actual value is smaller than the initial reference value, the situation that the transmitted water meter data (monitoring data) is misread can be clearly judged; therefore, such data needs to be excluded before the early warning prompt is performed, so that the accuracy of early warning is improved.
In an optional embodiment of the present invention, the method for processing household water data further includes:
step 15, obtaining first family information corresponding to empty data in all water consumption data;
step 16, obtaining second family information corresponding to the data of which the current actual value is smaller than the corresponding initial reference value in the second data to be processed;
step 17, performing a second early warning prompt according to the first family information;
and step 18, performing a third early warning prompt according to the second family information.
In an optional embodiment of the present invention, the method for processing household water data further includes:
acquiring third family information corresponding to data smaller than a first preset value in all the first data to be processed;
and carrying out a third early warning prompt according to the third family information.
In this embodiment, the second early warning prompt is mainly used for early warning the empty data in the water consumption data, when the water consumption data is empty, the at least one time of monitoring data is lacking, at this time, the fact that the at least one time of monitoring data is not transmitted remotely due to the fault or the network problem of the shooting remote water meter in the continuous transmission process is indicated, if the data is not returned three times in succession, that is, no numerical value is returned in one day, the first household information is obtained, the second early warning prompt is performed, and an operator can perform the check on the door in time according to the first household information, so that the meter reader can conveniently follow the data return condition of the water meter; the third early warning prompt is mainly used for early warning prompt on the situation that the error reading occurs in the transmitted monitoring data, so that the meter reader can maintain the flow monitoring equipment in time conveniently.
In an alternative embodiment of the present invention, step 13 may include:
acquiring average water consumption of a family per hour according to the monthly water consumption of the family corresponding to the target data;
multiplying the average water consumption of the family per hour by a first preset coefficient to obtain a first reference value of the family.
In an alternative embodiment of the present invention, step 14 may include:
acquiring a first flow value of a family corresponding to each target data in a preset time;
comparing the first flow value of each household in the preset time with the first reference value of the corresponding household, and carrying out first early warning prompt information when the first flow value is larger than the corresponding first reference value.
In this embodiment, the acquiring process of the first flow value of the home user in the preset time is as follows; for example, the preset time is 8 hours and 30 minutes, that is, the interval time is 8 hours and 30 minutes, the preset time can be converted into 8.5 hours, and if the target data is 1 ton, the first flow value=1/8.5=0.12 ton; in this embodiment, the first preset factor is 1.5, and when the average water consumption of the household per hour is 1 ton, the first reference value is 1.5 tons; when the first flow value is larger than 1.5 tons, the communication information of the family corresponding to the current first flow value can be obtained, and first early warning prompt information is sent to the family according to the communication information of the family.
In a preferred embodiment, the method for processing household water data further includes:
acquiring average daily water consumption of the family according to the monthly water consumption of the family corresponding to the target data;
multiplying the average daily water consumption of the family by a second preset coefficient to obtain a second reference value;
acquiring daily water consumption data of a family corresponding to the target data;
and comparing the daily water consumption data with the second reference value, and performing first early warning prompt when the daily water consumption data is larger than the second reference value.
In this embodiment, specific acquisition of the daily water consumption data of the family corresponding to the target data is: the single day water consumption is obtained by subtracting the last water consumption of yesterday from the last water consumption of the last previous day, for example, the last time of yesterday is 110, and the last time of yesterday is 105, then the single day water consumption of yesterday=110-105=5 tons, and the smaller time difference is not counted directly in days.
The following will illustrate a specific implementation procedure of the first early warning prompt in a specific embodiment:
firstly, acquiring monitoring data according to preset time, acquiring water consumption data according to the monitoring data, and then filtering the water consumption data to acquire target data; wherein the preset time is 8 hours; the method comprises the following steps: assuming that the household has 320 tons of monitoring data at 20:00:00 on 8 months and 320 tons of monitoring data at 04:00:00:00 on 8 months and 29 tons of monitoring data at 330 tons on 8 months and 12:00:00, 332 tons of monitoring data at 20:00:00 on 8 months and 29 tons, the household water meter caliber is 15, the initial reference value of 8 months is 312 tons, the first reference value is 1.5 tons, and the second reference value is 10 tons;
the first flow value over the 8 month 28 day 20:00:00 to 8 month 29 day 04:00:00 time is: (325-320)/8=0.625 tons; the first flow value in 8 month 29 days 04:00:00-8 month 29 days 12:00:00 time is: (330-325)/8=0.625 tons; the first flow value in the 8 month 29 day 12:00:00-8 month 29 day 12:00:00 time is: (332-330)/8=0.25 tons; the water consumption data for the day of 8 months 28 days 20:00:00-8 months 29 days 20:00:00 are: (332-320) =12 tons; from the above calculation results, it can be seen that: the first flow values (0.625 ton, 0.25 ton) are all less than the first reference value (1.5 ton); the daily water consumption data (12 tons) is larger than the second reference value (10 tons); at this time, a first warning prompt is performed.
As shown in fig. 3, an embodiment of the present invention further provides a processing apparatus 20 for household water data, including:
an obtaining module 21, configured to obtain water consumption data of each of a plurality of households within a preset time;
the processing module 22 is configured to pre-process all the water consumption data to obtain at least one target data; acquiring a first reference value of a family according to the monthly water consumption of the family corresponding to the target data; and carrying out first early warning prompt according to the target data and the first reference value.
Optionally, obtaining water consumption data of each of the plurality of households within a preset time includes:
acquiring monitoring data of the current household water meter once every preset time through flow monitoring equipment of each household water meter;
and subtracting the last monitoring data from the current monitoring data of the household water meter to obtain water consumption data of the household in a preset time.
Optionally, preprocessing all the water consumption data to obtain at least one target data, including:
eliminating zero and null data in all water consumption data to obtain first data to be processed; wherein, the water consumption data is zero, which indicates that no water is used in the current preset time period of the current household; the water consumption data is empty, which indicates that at least one monitoring data is lack;
removing all data which are larger than a first preset value from the first data to be processed, and obtaining second data to be processed; the first preset value is determined according to the maximum water consumption accumulation of the household water meter in preset time;
and acquiring at least one target data according to the second data to be processed.
Optionally, acquiring at least one target data according to the second data to be processed includes:
acquiring initial reference values of households corresponding to all data in the second data to be processed, wherein the initial reference values are actual meter reading values of the households in the beginning of the month of the water meter;
acquiring the current actual values of the household water meters corresponding to all the data in the second data to be processed;
and eliminating the data of which the current actual value is smaller than the corresponding initial reference value from the second data to be processed, and obtaining at least one target data.
Optionally, the method for processing household water data further includes:
acquiring first family information corresponding to empty data in all water consumption data;
acquiring second family information corresponding to data of which the current actual numerical value is smaller than the corresponding initial reference value in second data to be processed;
performing second early warning prompt according to the first family information;
and carrying out third early warning prompt according to the second family information.
Optionally, the obtaining a first reference value of the family according to the monthly water consumption of the family corresponding to the target data includes:
acquiring average water consumption of a family per hour according to the monthly water consumption of the family corresponding to the target data;
multiplying the average water consumption of the family per hour by a first preset coefficient to obtain a first reference value of the family.
Optionally, according to the target data and the first reference value, performing a first early warning prompt includes:
acquiring a first flow value of a family corresponding to each target data in a preset time;
comparing the first flow value of each household in the preset time with the first reference value of the corresponding household, and carrying out first early warning prompt information when the first flow value is larger than the corresponding first reference value.
The device is a device corresponding to the method for processing household water data, and all the implementation modes in the method are applicable to the embodiment of the device, so that the same technical effects can be achieved.
The processing device for household water data has the following advantages that 1, automatic data acquisition and monitoring are realized: the sensor is used for automatically collecting the data of each water meter, monitoring the water quantity change in real time and finding out abnormal water conditions such as water leakage of a water pipe. In contrast, the traditional manual meter reading system needs manual on-site meter reading, is time-consuming and labor-consuming, and cannot realize real-time monitoring; 2. automation and intelligence of data processing: through carrying out automatic processing and intelligent analysis to the water consumption data that gathers, realized the accurate monitoring and the accurate early warning etc. of abnormal water consumption to the water consumption. However, the traditional meter reading system cannot realize the functions, needs manual calculation and judgment, and has low efficiency and easy error; 3. wireless and remote data transmission: the collected water quantity data is remotely transmitted to the data monitoring center in a wireless communication mode, manual on-site meter reading is not needed, and meanwhile, the remote monitoring center can monitor the data state of each water meter in real time, discover problems in time and process the problems; 4. security and reliability of data storage: and the collected water quantity data can be stored in a data monitoring center, so that centralized management and backup of the data are realized, and the safety and reliability of the data are ensured. The traditional meter reading system has the risk of data loss or damage; 5. extensibility and flexibility of the device: and (3) expanding and optimizing according to the needs, such as adding new sensors, adjusting data acquisition frequency, optimizing a data processing algorithm and the like. However, the conventional meter reading device is difficult to realize the functions, and needs to consume a great deal of time and resources for upgrading and reforming.
In summary, compared with the original water meter reading device, the household water meter reading device has the technical advantages of automation, intellectualization, wireless, remodelling, safety, reliability, flexible expansion and the like, can improve the water management efficiency and the water resource utilization efficiency, reduces the management cost, and improves the economic benefit and the social benefit. Meanwhile, the problems that in the process of using water for a household, water meter water quantity data are expanded due to some behaviors, such as the fact that a faucet is forgotten to be closed and a toilet is not automatically rebounded after being pressed are solved, so that water resource waste is caused.
Embodiments of the present invention also provide a computing device comprising: and a processor, a memory storing a computer program which, when executed by the processor, performs the method of processing household water data described above. All the implementation manners in the method embodiment are applicable to the embodiment, and the same technical effect can be achieved.
Embodiments of the present invention also provide a computer-readable storage medium storing instructions that, when executed on a computer, cause the computer to perform the above-described method of processing household water data. All the implementation manners in the above method embodiments are applicable to the embodiment, and the same technical effects can be achieved.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, and are not repeated herein.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a usb disk, a removable hard disk, a ROM, a RAM, a magnetic disk, or an optical disk, etc.
Furthermore, it should be noted that in the apparatus and method of the present invention, it is apparent that the components or steps may be disassembled and/or assembled. Such decomposition and/or recombination should be considered as equivalent aspects of the present invention. Also, the steps of performing the series of processes described above may naturally be performed in chronological order in the order of description, but are not necessarily performed in chronological order, and some steps may be performed in parallel or independently of each other. It will be appreciated by those of ordinary skill in the art that all or any of the steps or components of the methods and apparatus of the present invention may be implemented in hardware, firmware, software, or a combination thereof in any computing device (including processors, storage media, etc.) or network of computing devices, as would be apparent to one of ordinary skill in the art after reading this description of the invention.
The object of the invention can thus also be achieved by running a program or a set of programs on any computing device. The computing device may be a well-known general purpose device. The object of the invention can thus also be achieved by merely providing a program product containing program code for implementing said method or apparatus. That is, such a program product also constitutes the present invention, and a storage medium storing such a program product also constitutes the present invention. It is apparent that the storage medium may be any known storage medium or any storage medium developed in the future. It should also be noted that in the apparatus and method of the present invention, it is apparent that the components or steps may be disassembled and/or assembled. Such decomposition and/or recombination should be considered as equivalent aspects of the present invention. The steps of executing the series of processes may naturally be executed in chronological order in the order described, but are not necessarily executed in chronological order. Some steps may be performed in parallel or independently of each other.
While the foregoing is directed to the preferred embodiments of the present invention, it will be appreciated by those skilled in the art that various modifications and adaptations can be made without departing from the principles of the present invention, and such modifications and adaptations are intended to be comprehended within the scope of the present invention.
Claims (10)
1. A method of processing household water data, comprising:
acquiring water consumption data of each family in a preset time;
preprocessing all the water consumption data to obtain at least one target data;
acquiring a first reference value of a family according to the monthly water consumption of the family corresponding to the target data;
and carrying out first early warning prompt according to the target data and the first reference value.
2. The method for processing household water data according to claim 1, wherein obtaining the water consumption data of each of the plurality of household users within a predetermined time comprises:
acquiring monitoring data of the current household water meter once every preset time through flow monitoring equipment of each household water meter;
and subtracting the last monitoring data from the current monitoring data of the household water meter to obtain water consumption data of the household in a preset time.
3. The method for processing household water data according to claim 2, wherein preprocessing all the water consumption data to obtain at least one target data comprises:
eliminating zero and null data in all water consumption data to obtain first data to be processed; wherein, the water consumption data is zero, which indicates that no water is used in the current preset time period of the current household; the water consumption data is empty, which indicates that at least one monitoring data is lack;
removing all data which are larger than a first preset value from the first data to be processed, and obtaining second data to be processed; the first preset value is determined according to the maximum water consumption accumulation of the household water meter in preset time;
and acquiring at least one target data according to the second data to be processed.
4. A method of processing household water data according to claim 3, wherein obtaining at least one target data from the second data to be processed comprises:
acquiring initial reference values of households corresponding to all data in the second data to be processed, wherein the initial reference values are actual meter reading values of the households in the beginning of the month of the water meter;
acquiring the current actual values of the household water meters corresponding to all the data in the second data to be processed;
and eliminating the data of which the current actual value is smaller than the corresponding initial reference value from the second data to be processed, and obtaining at least one target data.
5. The method for processing household water data as claimed in claim 4, further comprising:
acquiring first family information corresponding to empty data in all water consumption data;
acquiring second family information corresponding to data of which the current actual numerical value is smaller than the corresponding initial reference value in second data to be processed;
performing second early warning prompt according to the first family information;
and carrying out third early warning prompt according to the second family information.
6. The method for processing household water data according to claim 1, wherein obtaining a first reference value of a household according to a monthly water consumption of the household corresponding to the target data comprises:
acquiring average water consumption of a family per hour according to the monthly water consumption of the family corresponding to the target data;
multiplying the average water consumption of the family per hour by a first preset coefficient to obtain a first reference value of the family.
7. The method according to claim 1, wherein the step of performing a first warning based on the target data and the first reference value, comprises:
acquiring a first flow value of a family corresponding to each target data in a preset time;
comparing the first flow value of each household in the preset time with the first reference value of the corresponding household, and carrying out first early warning prompt information when the first flow value is larger than the corresponding first reference value.
8. A processing apparatus for household water data, comprising:
the acquisition module is used for acquiring water consumption data of each household in a preset time;
the processing module is used for preprocessing all the water consumption data to obtain at least one target data; acquiring a first reference value of a family according to the monthly water consumption of the family corresponding to the target data; comparing each target data with a first reference value of a corresponding household, and outputting a comparison result; and carrying out first early warning prompt according to the comparison result.
9. A computing device, comprising: a processor, a memory storing a computer program which, when executed by the processor, performs the method of any one of claims 1 to 7.
10. A computer readable storage medium storing instructions which, when run on a computer, cause the computer to perform the method of any one of claims 1 to 7.
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