Water purification module and water resource data intelligent processing method

Abstract

The embodiment of the invention provides a water purification module and a water resource data intelligent processing method, and the method comprises the steps: generating a standard resident portrait of a resident, and determining a pre-water consumption curve; acquiring historical water resource data of the resident, and determining water consumption information of abnormal water resource data of the user; generating water use purpose investigation information based on the water use information, and sending the water use purpose investigation information to the resident binding contact terminal; judging whether the purpose of the abnormal water resource data is non-living normal water or not based on the user feedback information; and when the abnormal water resource data is used for non-living normal water, determining a water quality requirement of the water based on the water purpose information, performing water quality classification on the non-living normal water based on the water quality requirement of the water, and configuring a special water outlet pipeline and a water outlet based on different water quality classifications.

Description

Technical Field

[0001] The present invention relates to the technical field of water resource management, and in particular to a water purification module and a method for intelligently processing water resource data. Background Art

[0002] With the advancement of urbanization, the scale of residential communities is becoming increasingly larger, and communities are connected to each other. Most communities have large green plants, roads, and some small-scale industrial or commercial facilities. The water consumption for various needs in the communities is also gradually increasing, such as drinking water, domestic water, irrigation water for green plants, water for small-scale industrial or commercial facilities, etc.

[0003] However, different water demands in the community have significantly different requirements for water quality, and the current unified water supply system in the community will lead to waste of water resources in the water purification module. Specifically, high-standard drinking water or domestic water is used for low-standard purposes, which increases water treatment costs and users' water fee burden, as well as energy consumption and environmental pollution. Summary of the invention

[0004] In view of the problems existing in the prior art, an embodiment of the present invention provides a water purification module and a method for intelligent processing of water resource data.

[0005] The embodiment of the present invention provides a water purification module and a water resource data intelligent processing method, the method comprising: Receiving pre-stored residential information of a resident, generating a standard resident portrait based on the residential information, and determining a pre-use water curve according to the standard resident portrait; Acquire historical water resource data of the household, determine whether the historical water resource data is within the range of the pre-water use curve, and when the water resource data is not within the range of the pre-water use curve, determine the water use information of the corresponding abnormal water resource data, wherein the water use information includes water consumption and water use time; When the water consumption is greater than a preset threshold, water use purpose survey information is generated based on the water use information, and the water use purpose survey information is sent to the resident's bound contact terminal; receiving water use purpose information fed back by the household-bound contact terminal, and determining whether the use of the abnormal water resource data is non-normal water use for daily life based on the water use purpose information; When the abnormal water resource data is used for non-normal living water, the water quality requirements are determined based on the water use purpose information, and the non-normal living water is classified based on the water quality requirements, and special water outlet pipes and outlets are configured based on different water quality classifications.

[0006] In one embodiment, the method further comprises: Send water resource query information to the cell-bound terminal to query whether there is a water resource scheduling system in the cell, where the water resource scheduling system includes a rainwater collection system and a sewage treatment system; After receiving the feedback information of the water resource scheduling system fed back by the cell-bound terminal, the dispatchable water volume in the feedback information is obtained, and compared with the sum of the water volume of non-normal water use in the cell; When the dispatchable water volume is greater than the sum of the non-normal water volume for daily use, the water quality classification of the water resource dispatching system in the community is detected, and corresponding dedicated water outlet pipes and outlets are configured.

[0007] In one embodiment, the method further comprises: Keywords and water use data in the standardized household portraits in the big data are counted and used as training parameters. The neural network model is trained, and the discrete function generated during the training process is used as the convergence function. The water use data corresponding to the keywords is obtained through training, and a mapping relationship between the keywords and the water use data is established; Based on the keyword types of the residents in the big data, the corresponding standard household portraits are integrated, and combined with the mapping relationship, the estimated water consumption curve corresponding to the standard household portraits is determined.

[0008] In one embodiment, the method further comprises: Detect whether the water usage rate of the abnormal water resource data is constant, and when the water usage rate is constant, mark the household corresponding to the abnormal water resource data until similar water usage curves are detected at different water usage times, and generate water use purpose survey information based on the water use information.

[0009] In one embodiment, the non-normal water for daily life includes: Irrigation water, water for industrial and commercial facilities, water for car washing and water for road washing.

[0010] The embodiment of the present invention provides a water purification module and a water resource data intelligent processing system, the system comprising: A household portrait module, configured to receive pre-stored residential information of a household, generate a standard household portrait based on the residential information, and determine a pre-use water curve according to the standard household portrait; An acquisition module is used to acquire the historical water resource data of the household, determine whether the historical water resource data is within the range of the pre-water use curve, and when the water resource data is not within the range of the pre-water use curve, determine the water use information of the corresponding abnormal water resource data, wherein the water use information includes water consumption and water use time; A sending module, configured to generate water use purpose survey information based on the water use information when the water use amount is greater than a preset threshold, and send the water use purpose survey information to a resident-bound contact terminal; A judgment module, configured to receive the water use purpose information fed back by the household-bound contact terminal, and judge whether the use of the abnormal water resource data is non-normal water use for daily life based on the water use purpose information; A management module is used to determine the water quality requirements for water use based on the water purpose information when the abnormal water resource data is used for non-normal living water use, and to classify the water quality of the non-normal living water based on the water quality requirements, and to configure special water outlet pipes and outlets based on different water quality classifications.

[0011] In one embodiment, the system further comprises: A query module, used to send water resource query information to a cell-bound terminal to query whether there is a water resource scheduling system in the cell, wherein the water resource scheduling system includes a rainwater collection system and a sewage treatment system; A comparison module is used to, after receiving feedback information from the water resource scheduling system fed back by the cell-bound terminal, obtain the dispatchable water volume in the feedback information and compare it with the sum of the water volume of non-normal water use in the cell; The configuration module is used to detect the water quality classification of the water resource scheduling system in the community and configure the corresponding dedicated water outlet pipe and outlet when the adjustable water volume is greater than the sum of the water volume for non-normal living water use.

[0012] In one embodiment, the system further comprises: A statistical module is used to count the keywords and water use data in the standardized household portraits in the big data, and use them as training parameters. The neural network model is used for training, and the discrete function generated during the training process is used as the convergence function to train the water use data corresponding to the keywords, and establish a mapping relationship between the keywords and the water use data; The integration module is used to integrate the corresponding standard household portraits based on the keyword types of the residents in the big data, and determine the estimated water consumption curve corresponding to the standard household portraits in combination with the mapping relationship.

[0013] An embodiment of the present invention provides an electronic device, including a processor and a memory; The processor is connected to the memory; The memory is used to store executable program code; The processor runs a program corresponding to the executable program code by reading the executable program code stored in the memory, so as to execute the method described in one or more embodiments.

[0014] An embodiment of the present invention provides a non-transitory computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps of the above-mentioned water purification module and water resource data intelligent processing method are implemented.

[0015] In view of the above, in one or more embodiments of the present specification, the residential information pre-stored by the resident is received, a standard resident portrait is generated based on the residential information, and a pre-water use curve is determined according to the standard resident portrait; the historical water resource data of the resident is obtained, and it is determined whether the historical water resource data is within the range of the pre-water use curve. When the water resource data is not within the range of the pre-water use curve, the water use information of the corresponding abnormal water resource data is determined, and the water use information includes water consumption and water use time; when the water consumption is greater than the preset threshold, water use purpose survey information is generated based on the water use information, and the water use purpose survey information is sent to the resident binding contact terminal; the water use purpose information fed back by the resident binding contact terminal is received, and it is determined whether the use of the abnormal water resource data is non-normal water use for life based on the water use purpose information; when the use of the abnormal water resource data is non-normal water use for life, the water quality requirements of the water use are determined based on the water use purpose information, and the water quality of the non-normal water use for life is classified based on the water quality requirements, and the special outlet pipes and outlets are configured based on different water quality classifications. In this way, the water supply system in the community can be reasonably managed, and classified water supply for different purposes can be realized, which saves the water purification resources in the water purification module while improving the water resource utilization efficiency and environmental protection level. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0017] Figure 1 It is a flow chart of a water purification module and a method for intelligent processing of water resource data provided by an embodiment of this specification.

[0018] Figure 2 It is a structural schematic diagram of a water purification module and a water resource data intelligent processing system provided in one embodiment of this specification.

[0019] Figure 3 It is a structural schematic diagram of an electronic device provided by an embodiment of this specification. DETAILED DESCRIPTION

[0020] The subject matter described herein will now be discussed with reference to example embodiments. It should be understood that the discussion of these embodiments is only to enable those skilled in the art to better understand and implement the subject matter described herein, and is not a limitation of the scope of protection, applicability or examples set forth in the claims. The functions and arrangements of the elements discussed can be changed without departing from the scope of protection of the contents of this specification. Various examples can omit, replace or add various processes or components as needed. For example, the described method can be performed in an order different from the described order, and various steps can be added, omitted or combined. In addition, the features described relative to some examples can also be combined in other examples.

[0021] As used herein, the term "including" and its variations represent open terms, meaning "including but not limited to". The term "based on" means "based at least in part on". The terms "one embodiment" and "an embodiment" mean "at least one embodiment". The term "another embodiment" means "at least one other embodiment". The terms "first", "second", etc. may refer to different or the same objects. Other definitions may be included below, whether explicit or implicit. Unless the context clearly indicates otherwise, the definition of a term is consistent throughout the specification.

[0022] like Figure 1 As shown, the embodiment of the present invention provides a water purification module and a water resource data intelligent processing method, including: Step S101, receiving pre-stored residential information of a resident, generating a standard resident portrait based on the residential information, and determining a pre-water consumption curve according to the standard resident portrait.

[0023] Specifically, the residential information of the residents in the community is pre-stored, wherein the residential information can be obtained by sequentially integrating and registering the information of the residents in the community, or, for example, by establishing a corresponding integrated water management system, and the residents in the community can directly pre-store the residential information on the water management system, wherein the water management system includes the residents, the community, and the water provider, and can intelligently regulate the water purification modules and water resource data of the three parties. Among them, the residential information can be information that affects the water consumption, and can include the number of residents, the time period at home, the water use habits, etc., wherein the number of residents can be, for example, 3 people, the time at home is the non-working time period from Monday to Friday, and the water use habits include whether to use water for cooking, washing, cleaning, etc. After determining the residential information of the residents, a corresponding standardized resident portrait is generated. Among them, the standardized household portrait can be a classic household portrait preset in the water management system. For example, the household portrait can be a household portrait of a family of three, A, including parents and children (three people working and going to school normally), a household portrait of a family of three, B, including parents and children (one person working and two people at home), a household portrait of a family of five, A, including grandparents, parents, and children (three people working and going to school normally and two people at home), and a household of two, including a husband and wife (two people working). In addition, the above household portraits can be further detailed to a detailed description of household water use, such as whether cooking at home, daily washing and cleaning water habits, etc.

[0024] In addition, after determining the standard household portrait, determine the preset pre-water consumption curve corresponding to the standard household portrait. The pre-water consumption curve can be determined by performing data analysis based on the statistical results of household water consumption data of different household portrait types in big data. During the data analysis, delete the abnormal data with extremely low or extremely high water consumption data, perform data analysis on other data, determine the reasonable water consumption data of different standard household portraits, and integrate the water consumption data to generate the corresponding pre-water consumption curve.

[0025] In addition, a mapping relationship between water use data, keywords of residential information, and standardized household portraits can also be established, wherein the keywords of residential information can be the keywords related to the number of people at home, time periods at home, and water use habits mentioned above. The specific steps may include integrating and counting water use data in big data, and using the water use data as training parameters, training through a neural network model, and the initial information of the training can directly use the statistical big data information, or the big data can be pre-processed and the data can be sorted into the processing format of the neural network model for input. In the model training process, it is necessary to consider the time series characteristics of the input data and the data curve corresponding to the keywords to be output, and use the discrete function of the big data as the loss function in the training process to perform the convergence function of iterative training, train until the model converges, and corresponding to the training results, the function requirements of the discrete function can be adjusted to achieve the mapping relationship between keywords and corresponding user data trends under the requirements of different error ranges. For example, in the training results, keywords such as "family of three A" and "family of three B" can have corresponding water use data trends, and also include error ranges. Generally speaking, the error range of a single keyword is usually larger, while the error range of a keyword combination is usually smaller.

[0026] When establishing a mapping relationship between keywords and energy consumption data, data integration of household portrait types can be performed based on keyword types in big data. The data integration method can include establishing big data semantic modeling and knowledge graphs, or completing it through machine learning, natural language processing, etc. After integrating different types of keywords to determine the corresponding household portrait types, the relationship between keywords and water consumption data in the mapping relationship is combined to determine the data comprehensive trend of water consumption data corresponding to multiple keyword combinations in the standardized household portrait, and determine the estimated water consumption curve corresponding to the standardized household portrait.

[0027] Step S102, obtain the historical water resource data of the household, and determine whether the historical water resource data is within the range of the predicted water usage curve. When the water resource data is not within the range of the predicted water usage curve, determine the water usage information of the corresponding abnormal water resource data, and the water usage information includes water consumption and water usage time.

[0028] Specifically, the water resource data of the historical water consumption of the residents in the community is obtained to determine whether the historical water resource data of the residents is within the range of the pre-water consumption curve, that is, to match the historical water consumption data with the pre-water consumption curve in the same time dimension, and compare the difference between the actual water consumption and the predicted water consumption. And when comparing, according to the pre-water consumption curve, set the corresponding reasonable threshold range. When the actual water consumption exceeds the reasonable threshold range, it is determined that the actual water consumption of the residents does not match the corresponding standard residents, and there is an abnormality, then the water use information of the abnormal water resource data is obtained. The water use information can be classified, such as continuous high water consumption, short-term surge water consumption, etc., and the time and water consumption of the abnormal water use are recorded in detail to facilitate further analysis in subsequent steps.

[0029] Step S103: when the water consumption is greater than a preset threshold, water use purpose survey information is generated based on the water use information, and the water use purpose survey information is sent to the household-bound contact terminal.

[0030] Specifically, when the amount of abnormal water use is greater than the preset threshold, it means that the abnormal water use has caused a certain amount of waste to the water resources and the purified water resources in the water purification module, and the cause of the abnormal water use needs to be determined. Then, the water use purpose survey information is generated based on the water use information, wherein the corresponding survey information content is first generated according to the water use information, including the water use amount and water use time, and then the survey information content is sent to the bound contact terminal, and the bound contact terminal responds to the abnormal water resource data with the water use purpose. When sending the survey information content, different water use purpose options can be configured for different abnormal water resource data for residents to choose. For example, the survey information content can include "At 3 pm on November 3, the abnormal water use data volume was 10 tons. Water use purpose (optional): normal household daily water use (such as family gatherings, etc.), irrigation water (such as irrigation of household plants, community plants), industrial and commercial water use (such as water use of small industrial equipment in the community, water use of commercial facilities or personal commercial facilities in the community), and other water use (can be filled in, such as road washing, car washing, etc.)". Generate corresponding information based on the survey information content and send it to the resident's bound contact terminal, such as a mobile terminal pre-stored by the user, or a property management system of the community, etc. Information can also be transmitted through the water management system. After the survey information is uploaded to the water management system, residents can fill in the purpose of water supply.

[0031] In addition, before generating water use purpose survey information, it is detected whether the abnormal water resource data is continuous and stable single water use data, that is, data with a constant water use rate over a period of time. Generally speaking, continuous and stable single water use data generally means that there is an open faucet or a water leak in the household. In this case, there is no need to conduct water use purpose survey information, and the household can be marked. If similar abnormal water use data appears multiple times in a subsequent period of time, such as when the water use curves are similar, it means that the household does not have a single faucet that is not closed or leaking, but uses water for some water use purpose. In this case, water use purpose survey information is generated and sent to the household's bound contact terminal.

[0032] Step S104, receiving the water use purpose information fed back by the household-bound contact terminal, and determining whether the use of the abnormal water resource data is not for normal living water use based on the water use purpose information.

[0033] Specifically, it receives the water use purpose information fed back by the residents through the bound contact terminal, determines whether the use of the abnormal water resource data is non-normal water for life, and provides data support for the management of water purification resources in the subsequent water purification module. Among them, the water use of residents can be divided into: drinking water, daily water, irrigation water, industrial water, and other water according to different water quality requirements. Except for drinking water and daily water, which belong to normal water for life, all other water can be non-normal water for life.

[0034] Step S105, when the purpose of the abnormal water resource data is non-normal water for life, the water quality requirements for water use are determined based on the water use purpose information, and the water quality of the non-normal water for life is classified based on the water quality requirements, and special water outlet pipes and outlets are configured based on different water quality classifications.

[0035] Specifically, after determining the purpose of water use of abnormal water resource data, the water quality requirements corresponding to the purpose of water use are obtained, such as irrigation water in the community, mainly focusing on salt, pH value, harmful substances, etc., industrial water is set according to the corresponding industrial or commercial facilities, car washing water, road washing water has lower water quality requirements, etc. The water used for the above different purposes is classified according to the water quality requirements. For example, some industrial facilities or commercial facilities with higher water quality requirements are classified into one category, and the water quality requirements may reach the drinking water level; irrigation water is classified into one category, car washing water, road washing water is classified into one category; cooling water for industrial facilities or commercial facilities with lower water quality requirements is the lowest category. Based on different water quality classifications, special water outlets and outlets are configured, and the corresponding water use purposes can be marked on the special water outlets and outlets. The corresponding special outlets can be configured in the residents' homes. When the residents are irrigating, washing cars, or using industrial and commercial facilities, they can be dispatched through the special outlets. In this way, the water requirements for different water qualities can be scheduled separately, which can save the water resources in the water purification module to the greatest extent. For example, to purify the cooling water of industrial facilities or commercial facilities with low water quality requirements, it is only necessary to remove large particles of impurities, and then filter and disinfect.

[0036] In addition, when performing other scheduling for water use, water resource query information can be sent to the community binding terminal to query whether there is a water resource scheduling system that can be used for non-normal water use in life in the community, wherein the water resource scheduling system includes a rainwater collection system and a sewage treatment system. After receiving the feedback information of the water resource scheduling system fed back by the community binding terminal, the dispatchable water volume in the feedback information is obtained, and compared with the sum of the water volume of non-normal water use in life in the community, to determine whether the dispatchable water resources in the community can meet the water volume requirements for non-normal water use in life. When the dispatchable water volume is greater than the sum of the water volume of non-normal water use in life, the dispatchable water volume can meet the non-normal water demand for life, and these water resources in the community are used first, and a special water outlet for residents is configured for the water resource scheduling system in the community. If the dispatchable water volume is insufficient, the water supply strategy is adjusted according to actual needs, and some high-standard drinking water resources may need to be used.

[0037] A water purification module and a water resource data intelligent processing method provided by an embodiment of the present invention receive the residence information pre-stored by the resident, generate a standard resident portrait based on the residence information, and determine the pre-water use curve according to the standard resident portrait; obtain the historical water resource data of the resident, determine whether the historical water resource data is within the range of the pre-water use curve, and when the water resource data is not within the range of the pre-water use curve, determine the water use information of the corresponding abnormal water resource data, and the water use information includes water consumption and water use time; when the water consumption is greater than the preset threshold, generate water use purpose survey information based on the water use information, and send the water use purpose survey information to the resident binding contact terminal; receive the water use purpose information fed back by the resident binding contact terminal, and determine whether the use of the abnormal water resource data is non-normal water use for life based on the water use purpose information; when the use of the abnormal water resource data is non-normal water use for life, determine the water quality requirements based on the water use purpose information, and classify the non-normal water use for life based on the water quality requirements, and configure special outlet pipes and outlets based on different water quality classifications. In this way, the water supply system in the community can be reasonably managed, and classified water supply for different purposes can be realized, which saves water purification resources while improving the efficiency of water resource utilization and the level of environmental protection.

[0038] See also Figure 2 , Figure 2 Schematic diagram of a water purification module and a water resource data intelligent processing system provided in the embodiment of the present application. Figure 2 As shown, the system comprises: The household portrait module S201 is used to receive the pre-stored residence information of the household, generate a standard household portrait based on the residence information, and determine the pre-water consumption curve according to the standard household portrait; The acquisition module S202 is used to acquire the historical water resource data of the household, determine whether the historical water resource data is within the range of the estimated water use curve, and when the water resource data is not within the range of the estimated water use curve, determine the water use information of the corresponding abnormal water resource data, wherein the water use information includes water consumption and water use time; A sending module S203 is used to generate water use purpose survey information based on the water use information when the water use amount is greater than a preset threshold, and send the water use purpose survey information to a household-bound contact terminal; The judgment module S204 is used to receive the water use purpose information fed back by the household-bound contact terminal, and judge whether the use of the abnormal water resource data is non-normal water use for daily life based on the water use purpose information; Management module S205 is used to determine the water quality requirements for water use based on the water purpose information when the abnormal water resource data is used for non-normal living water use, and to classify the water quality of the non-normal living water based on the water quality requirements, and to configure special water outlet pipes and outlets based on different water quality classifications.

[0039] In another embodiment, a water purification module and a water resource data intelligent processing system further include: A query module, used to send water resource query information to a cell-bound terminal to query whether there is a water resource scheduling system in the cell, wherein the water resource scheduling system includes a rainwater collection system and a sewage treatment system; A comparison module is used to, after receiving feedback information from the water resource scheduling system fed back by the cell-bound terminal, obtain the dispatchable water volume in the feedback information and compare it with the sum of the water volume of non-normal water use in the cell; The configuration module is used to detect the water quality classification of the water resource scheduling system in the community and configure the corresponding dedicated water outlet pipe and outlet when the adjustable water volume is greater than the sum of the water volume for non-normal living water use.

[0040] In another embodiment, a water purification module and a water resource data intelligent processing system further include: A statistical module is used to count the keywords and water use data in the standardized household portraits in the big data, and use them as training parameters. The neural network model is used for training, and the discrete function generated during the training process is used as the convergence function to train the water use data corresponding to the keywords, and establish a mapping relationship between the keywords and the water use data; The integration module is used to integrate the corresponding standard household portraits based on the keyword types of the residents in the big data, and determine the estimated water consumption curve corresponding to the standard household portraits in combination with the mapping relationship.

[0041] Those skilled in the art can clearly understand that the technical solutions of the embodiments of the present application can be implemented with the help of software and / or hardware. The "unit" and "module" in this specification refer to software and / or hardware that can independently complete or cooperate with other components to complete specific functions, where the hardware can be, for example, a field programmable gate array (FPGA), an integrated circuit (IC), etc.

[0042] Each processing unit and / or module of the embodiments of the present application may be implemented by an analog circuit that implements the functions described in the embodiments of the present application, or may be implemented by software that executes the functions described in the embodiments of the present application.

[0043] See also Figure 3 , which shows a schematic diagram of the structure of an electronic device involved in an embodiment of the present application, the electronic device can be used to implement Figure 1 The method in the embodiment shown. Figure 3As shown, the electronic device 300 may include: at least one processor 301 , at least one network interface 304 , a user interface 303 , a memory 305 , and at least one communication bus 302 .

[0044] The communication bus 302 is used to realize the connection and communication between these components.

[0045] The user interface 303 may include a display screen (Display) and a camera (Camera). Optionally, the user interface 303 may also include a standard wired interface and a wireless interface.

[0046] The network interface 304 may optionally include a standard wired interface or a wireless interface (such as a WI-FI interface).

[0047] Among them, the processor 301 may include one or more processing cores. The processor 301 uses various interfaces and lines to connect various parts of the entire electronic device 300, and executes various functions and processes data of the terminal 300 by running or executing instructions, programs, code sets or instruction sets stored in the memory 305, and calling data stored in the memory 305. Optionally, the processor 301 can be implemented in at least one hardware form of digital signal processing (Digital Signal Processing, DSP), field programmable gate array (Field-Programmable Gate Array, FPGA), and programmable logic array (Programmable Logic Array, PLA). The processor 301 can integrate one or a combination of a processor (Central Processing Unit, CPU), an image processor (Graphics Processing Unit, GPU) and a modem. Among them, the CPU mainly processes the operating system, user interface and application programs; the GPU is responsible for rendering and drawing the content to be displayed on the display screen; the modem is used to process wireless communications. It can be understood that the above-mentioned modem may not be integrated into the processor 301, and it can be implemented separately through a chip.

[0048] Among them, the memory 305 may include a random access memory (Random Access Memory, RAM) and may also include a read-only memory (Read-Only Memory). Optionally, the memory 305 includes a non-transitory computer-readable storage medium. The memory 305 can be used to store instructions, programs, codes, code sets or instruction sets. The memory 305 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playback function, an image playback function, etc.), instructions for implementing the above-mentioned various method embodiments, etc.; the data storage area may store data involved in the above-mentioned various method embodiments, etc. The memory 305 may also be optionally at least one storage device located away from the aforementioned processor 301. As Figure 3 As shown, the memory 305 as a computer storage medium may include an operating system, a network communication module, a user interface module, and program instructions.

[0049] exist Figure 3 In the electronic device 300 shown, the user interface 303 is mainly used to provide an input interface for the user and obtain the data input by the user; and the processor 301 can be used to call the interactive application based on image generation stored in the memory 305, and specifically perform the following operations: receiving the pre-stored residential information of the resident, generating a standard resident portrait based on the residential information, and determining the pre-water use curve according to the standard resident portrait; obtaining the historical water resource data of the resident, judging whether the historical water resource data is within the range of the pre-water use curve, and when the water resource data is not within the range of the pre-water use curve, determining the water use information of the corresponding abnormal water resource data, the water use information including the water use amount and the water use time; when the water use amount is greater than the preset threshold, generating water use purpose survey information based on the water use information, and sending the water use purpose survey information to the resident binding contact terminal; receiving the water use purpose information fed back by the resident binding contact terminal, judging whether the use of the abnormal water resource data is non-normal water use for life based on the water use purpose information; when the use of the abnormal water resource data is non-normal water use for life, determining the water quality requirements based on the water use purpose information, and classifying the non-normal water use for life based on the water quality requirements, and configuring the dedicated water outlet pipe and outlet based on different water quality classifications.

[0050] The present application also provides a computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, the steps of the above method are implemented. The computer-readable storage medium may include, but is not limited to, any type of disk, including a floppy disk, an optical disk, a DVD, a CD-ROM, a micro drive, and a magneto-optical disk, a ROM, a RAM, an EPROM, an EEPROM, a DRAM, a VRAM, a flash memory device, a magnetic card or an optical card, a nanosystem (including a molecular memory IC), or any type of medium or device suitable for storing instructions and / or data.

[0051] It should be noted that, for the aforementioned method embodiments, for the sake of simplicity, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the described order of actions, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the present application.

[0052] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0053] In the several embodiments provided in the present application, it should be understood that the disclosed devices can be implemented in other ways. For example, the device embodiments described above are only schematic, such as the division of the units, which is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some service interfaces, and the indirect coupling or communication connection of devices or units can be electrical or other forms.

[0054] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple 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.

[0055] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0056] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a memory, including a number of instructions to enable a computer device (which can be a personal computer, server or network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned memory includes: U disk, read-only memory (ROM), random access memory (RAM), mobile hard disk, disk or optical disk and other media that can store program codes.

[0057] A person skilled in the art may understand that all or part of the steps in the various methods of the above embodiments may be completed by entering a program to instruct related hardware, and the program may be stored in a computer-readable memory, which may include a flash drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, etc.

[0058] The above is a description of a specific embodiment of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

Claims

1. A water purification module and a method for intelligently processing water resource data, the method comprising: Receiving pre-stored residential information of a resident, generating a standard resident portrait based on the residential information, and determining a pre-use water curve according to the standard resident portrait; Acquire historical water resource data of the household, determine whether the historical water resource data is within the range of the pre-water use curve, and when the water resource data is not within the range of the pre-water use curve, determine the water use information of the corresponding abnormal water resource data, wherein the water use information includes water consumption and water use time; When the water consumption is greater than a preset threshold, water use purpose survey information is generated based on the water use information, and the water use purpose survey information is sent to the household-bound contact terminal; receiving water use purpose information fed back by the household-bound contact terminal, and determining whether the use of the abnormal water resource data is non-normal water use for daily life based on the water use purpose information; When the abnormal water resource data is used for non-normal living water, the water quality requirements are determined based on the water use purpose information, and the non-normal living water is classified based on the water quality requirements, and special water outlet pipes and outlets are configured based on different water quality classifications.

2. The method according to claim 1, characterized in that The method further comprises: Send water resource query information to the cell-bound terminal to query whether there is a water resource scheduling system in the cell, where the water resource scheduling system includes a rainwater collection system and a sewage treatment system; After receiving the feedback information of the water resource scheduling system fed back by the cell-bound terminal, the dispatchable water volume in the feedback information is obtained, and compared with the sum of the water volume of non-normal water use in the cell; When the dispatchable water volume is greater than the sum of the non-normal water volume for daily use, the water quality classification of the water resource dispatching system in the community is detected, and corresponding dedicated water outlet pipes and outlets are configured.

3. The method according to claim 1, characterized in that The calculation process of the pre-use water curve includes: Keywords and water use data in the standardized household portraits in the big data are counted and used as training parameters. The neural network model is trained, and the discrete function generated during the training process is used as the convergence function. The water use data corresponding to the keywords is obtained through training, and a mapping relationship between the keywords and the water use data is established; Based on the keyword types of the residents in the big data, the corresponding standard household portraits are integrated, and combined with the mapping relationship, the estimated water consumption curve corresponding to the standard household portraits is determined.

4. The method according to claim 1, characterized in that: The method further comprises: Detect whether the water usage rate of the abnormal water resource data is constant, and when the water usage rate is constant, mark the household corresponding to the abnormal water resource data until similar water usage curves are detected at different water usage times, and generate water use purpose survey information based on the water use information.

5. The method according to claim 1, characterized in that: The non-normal water for daily life includes: Irrigation water, water for industrial and commercial facilities, water for car washing and water for road washing.

6. A water purification module and a water resources data intelligent processing system, characterized in that: The system comprises: A household portrait module, configured to receive pre-stored residential information of a household, generate a standard household portrait based on the residential information, and determine a pre-use water curve according to the standard household portrait; An acquisition module is used to acquire the historical water resource data of the household, determine whether the historical water resource data is within the range of the pre-water use curve, and when the water resource data is not within the range of the pre-water use curve, determine the water use information of the corresponding abnormal water resource data, wherein the water use information includes water consumption and water use time; A sending module, configured to generate water use purpose survey information based on the water use information when the water use amount is greater than a preset threshold, and send the water use purpose survey information to a household-bound contact terminal; A judgment module, configured to receive the water use purpose information fed back by the household-bound contact terminal, and judge whether the use of the abnormal water resource data is non-normal water use for daily life based on the water use purpose information; A management module is used to determine the water quality requirements for water use based on the water purpose information when the abnormal water resource data is used for non-normal living water use, and to classify the water quality of the non-normal living water based on the water quality requirements, and to configure special water outlet pipes and outlets based on different water quality classifications.

7. The system according to claim 6, characterized in that The system further comprises: A query module, used to send water resource query information to a cell-bound terminal to query whether there is a water resource scheduling system in the cell, wherein the water resource scheduling system includes a rainwater collection system and a sewage treatment system; A comparison module is used to, after receiving feedback information from the water resource scheduling system fed back by the cell-bound terminal, obtain the dispatchable water volume in the feedback information and compare it with the sum of the water volume of non-normal water use in the cell; The configuration module is used to detect the water quality classification of the water resource scheduling system in the community and configure the corresponding dedicated water outlet pipe and outlet when the adjustable water volume is greater than the sum of the water volume for non-normal living water use.

8. The system according to claim 6, characterized in that The system further comprises: A statistical module is used to count the keywords and water use data in the standardized household portraits in the big data, and use them as training parameters. The neural network model is used for training, and the discrete function generated during the training process is used as the convergence function to train the water use data corresponding to the keywords, and establish a mapping relationship between the keywords and the water use data; The integration module is used to integrate the corresponding standard household portraits based on the keyword types of the residents in the big data, and determine the estimated water consumption curve corresponding to the standard household portraits in combination with the mapping relationship.

9. An electronic device comprising a processor and a memory; The processor is connected to the memory; The memory is used to store executable program code; The processor runs a program corresponding to the executable program code by reading the executable program code stored in the memory, so as to execute the method according to any one of claims 1 to 5.

10. A computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the method according to any one of claims 1 to 5.

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