CN115689193A - Water use data processing method, system and equipment based on Internet of things - Google Patents

Water use data processing method, system and equipment based on Internet of things Download PDF

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Publication number
CN115689193A
CN115689193A CN202211335129.9A CN202211335129A CN115689193A CN 115689193 A CN115689193 A CN 115689193A CN 202211335129 A CN202211335129 A CN 202211335129A CN 115689193 A CN115689193 A CN 115689193A
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water
target
background server
current
internet
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Inventor
卢进波
邓玲
乔燕
陈从容
雷莹娟
龚城瑾
胡亮
郑波
肖晨
周天明
刘帅
杨振旗
余小龙
莫杰
郭晨
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Shenzhen Shenshui Water Resources Consulting Co ltd
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Shenzhen Shenshui Water Resources Consulting Co ltd
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Priority to CN202211335129.9A priority Critical patent/CN115689193A/en
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Abstract

The application relates to the technology of the Internet of things, and provides a water use data processing method, a system and equipment based on the Internet of things. The intelligent water meter data acquisition method and device have the advantages that the water consumption data of the intelligent water meter are acquired based on the internet of things technology, the current plan execution result, the current water consumption prediction data and the target water consumption exception handling strategy related to the intelligent water meter are obtained based on data mining and analysis of the water consumption data, the data utilization rate is improved, and the data island problem is avoided.

Description

Water use data processing method, system and equipment based on Internet of things
Technical Field
The application relates to the technical field of the Internet of things, in particular to a water consumption data processing method, system and equipment based on the Internet of things.
Background
At present, the wisdom water gauge based on internet of things has obtained certain popularization and application. The current smart water meter is a water meter based on NB-IoT (full name Narrow Band Internet of things) technology, which can be deployed individually for each user to count the water consumption of each user and upload to the Internet of things platform. If the Internet of things platform needs to read the data of the number of the intelligent water meters, a remote meter reading instruction is sent to the corresponding intelligent water meters, and remote meter reading of the water meters is achieved. However, the existing intelligent water meter is convenient for remotely uploading water data of a user to realize remote meter reading, and does not realize data deep mining on interaction of the user data and other systems, so that the data utilization rate is low.
Disclosure of Invention
The embodiment of the application provides a water consumption data processing method and system based on the Internet of things, computer equipment and a storage medium, and aims to solve the problem that in the prior art, an intelligent water meter is not used for achieving deep data mining on interaction between user data and other systems and low data utilization rate due to the fact that the intelligent water meter is convenient for remotely uploading the water consumption data of a user to achieve remote meter reading.
In a first aspect, an embodiment of the present application provides a water use data processing method based on an internet of things, which includes:
the user terminal sends the acquired water data acquisition instruction to the background server;
the background server sends the water data acquisition instruction to a target intelligent water meter in the at least one intelligent water meter through the Internet of things server and the Internet of things main water meter;
the target intelligent water meter responds to the water consumption data acquisition instruction, acquires current water consumption information, and sends the current water consumption information to the background server through the Internet of things server;
the background server receives and stores the current water consumption information and acquires water consumption plan information of a target user corresponding to the water consumption data acquisition instruction;
the background server determines a current plan execution result of the target user based on the current water consumption information and the water consumption plan information;
if the background server determines that the current plan execution result is in an abnormal execution state, forming input data based on the current water consumption information and stored historical water consumption information, and inputting the input data to a pre-trained prediction model to obtain current water consumption prediction data;
the background server determines a target water consumption abnormity processing strategy corresponding to the current water consumption information based on the current water consumption information and a pre-stored water consumption abnormity processing strategy set, and sends the target water consumption abnormity processing strategy to the user terminal;
and the background server determines a predicted water use growth rate based on the change rate between the current water use prediction data and the current water use information, acquires a corresponding target water use plan adjustment strategy in a plurality of pre-stored water use plan adjustment strategies according to the predicted water use growth rate, and sends the target water use plan adjustment strategy to the user terminal.
In a second aspect, an embodiment of the application provides a water data processing system based on the internet of things, which includes at least one smart water meter, at least one total water meter of the internet of things, an internet of things server, a background server and a user terminal, wherein the at least one smart water meter is in communication connection with the at least one total water meter of the internet of things, the at least one total water meter of the internet of things is in communication connection with the internet of things server, the internet of things server is in communication connection with the background server, and the user terminal is in communication connection with the background server;
the user terminal is used for sending the acquired water consumption data acquisition instruction to the background server;
the background server is used for sending the water use data acquisition instruction to a target intelligent water meter in the at least one intelligent water meter through the Internet of things server and the Internet of things main water meter;
the target intelligent water meter is used for responding to the water consumption data acquisition instruction, acquiring current water consumption information and sending the current water consumption information to the background server through the Internet of things server;
the background server is further used for receiving and storing the current water consumption information and acquiring water consumption plan information of a target user corresponding to the water consumption data acquisition instruction;
the background server is further used for determining a current plan execution result of the target user based on the current water consumption information and the water consumption plan information;
the background server is further used for forming input data based on the current water consumption information and the stored historical water consumption information and inputting the input data to a pre-trained prediction model to obtain current water consumption prediction data if the current plan execution result is determined to be in an abnormal execution state;
the background server is further used for determining a target water use abnormity processing strategy corresponding to the current water use information based on the current water use information and a pre-stored water use abnormity processing strategy set, and sending the target water use abnormity processing strategy to the user terminal;
the background server is further configured to determine a predicted water usage increase rate based on a change rate between the current water usage prediction data and the current water usage information, obtain a corresponding target water usage plan adjustment strategy in a plurality of pre-stored water usage plan adjustment strategies according to the predicted water usage increase rate, and send the target water usage plan adjustment strategy to the user terminal.
In a third aspect, an embodiment of the present application further provides a computer device, which includes a memory, a processor, and a computer program stored on the memory and executable on the processor, and when the processor executes the computer program, the method for processing water data based on the internet of things according to the first aspect is implemented.
In a fourth aspect, the present invention further provides a computer-readable storage medium, where the computer-readable storage medium stores a computer program, and the computer program, when executed by a processor, causes the processor to execute the method for processing water data based on internet of things according to the first aspect.
The embodiment of the application provides a method, a system and equipment for processing water use data based on the Internet of things, wherein a background server receives and stores current water use information sent by a target intelligent water meter, acquires water use plan information of a target user corresponding to a water use data acquisition instruction, determines a current plan execution result of the target user based on the current water use information and the water use plan information, and determines a corresponding target water use exception handling strategy based on the current water use information and a prestored water use exception handling strategy set after determining that the current plan execution result is in an exception execution state, and sends the corresponding target water use exception handling strategy to a user terminal. The intelligent water meter data acquisition method and device have the advantages that the water consumption data of the intelligent water meter are acquired based on the internet of things technology, the current plan execution result, the current water consumption prediction data and the target water consumption exception handling strategy related to the intelligent water meter are obtained based on data mining and analysis of the water consumption data, the data utilization rate is improved, and the data island problem is avoided.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the description below are some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
Fig. 1 is a schematic view of an application scenario of a water data processing method based on the internet of things according to an embodiment of the present application;
fig. 2 is a schematic flow chart of a water use data processing method based on the internet of things according to an embodiment of the present application;
fig. 3 is a schematic block diagram of an internet of things-based water data processing system provided in an embodiment of the present application;
fig. 4 is a schematic block diagram of a computer device provided in an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some, but not all, of the embodiments of the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It is also to be understood that the terminology used in the description of the present application herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in the specification of the present application and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be further understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.
Referring to fig. 1 and fig. 2, fig. 1 is a schematic view of an application scenario of a water data processing method based on the internet of things according to an embodiment of the present application; fig. 2 is the flow schematic diagram of the water data processing method based on the thing networking that this application embodiment provided, this water data processing method based on the thing networking is applied to in the intelligent water gauge system, and this intelligent water gauge system includes at least one wisdom water gauge, at least one thing networking total water gauge, thing networking server, backend server and user terminal, at least one wisdom water gauge with at least one thing networking total water gauge communication is connected, at least one thing networking total water gauge with thing networking server communication is connected, thing networking server with backend server communication is connected, user terminal with backend server communication is connected.
In order to facilitate understanding of the technical scheme of the application, the intelligent water meter, the internet of things total water meter, the internet of things server, the background server and the user terminal which are included in the intelligent water meter system are introduced below.
The intelligent water meter is deployed at a user position, can monitor the water consumption condition of the user and reports the water consumption condition to the total water meter of the Internet of things or the water meter of the server of the Internet of things, and at least comprises the water meter, a flowmeter arranged on the water meter and a narrow-band Internet of things communication module (namely NB-IoT communication module). The intelligent water meter can upload real-time water data of a user to a total water meter of the internet of things or a water meter of a server of the internet of things based on the NB-IoT communication module after counting the real-time water data of the user based on the flowmeter. Certainly, the wisdom water gauge that relates to in this application also can be replaced by the mode that traditional mechanical type water gauge and camera combined together, and in the mode that traditional mechanical type water gauge and camera combined together with NB-IoT communication module or other wireless communication module (like 4G communication module, 5G communication module) set up on the camera, after the dial plate shooting picture that the camera aimed at traditional mechanical type water gauge obtained the dial plate picture, also can upload the dial plate picture to the backstage server by the camera and carry out image recognition, obtain real-time water consumption data.
The total water meter of the internet of things is a water meter which is arranged at a user position, has a distance smaller than a preset distance threshold (such as 1 km) with the intelligent water meters and is used for summarizing total data of the intelligent water meters of all users in the area, and the total water meter is essentially the same as the intelligent water meters, namely at least comprises the water meters and a flow meter NB-IoT communication module arranged on the water meters. The difference of thing networking total water gauge and wisdom water gauge lies in that it has the data function of gathering.
The internet of things server is a server capable of wirelessly communicating with the internet of things main water meter or the smart water meter based on the NB-IoT communication module, and can receive and store user water consumption data uploaded by the internet of things main water meter or the smart water meter. Moreover, the internet of things server can upload water consumption data of a plurality of users to the background server for further data mining and application.
The background server can receive user water consumption data of a plurality of intelligent water meters or a plurality of internet of things total water meters uploaded by the internet of things server, can further mine and apply data to the user water consumption data, and avoids a data isolated island of the internet of things server as user data.
The user terminal can be understood as an intelligent terminal used by a user, such as a smart phone and a tablet personal computer, and can perform data interaction with the background server to acquire data of the user terminal, such as water consumption data and a water consumption plan of a real-name user.
As shown in fig. 2, the method includes steps S101 to S108.
And S101, the user terminal sends the acquired water use data acquisition instruction to the background server.
In this embodiment, taking the example that the real-name registered user corresponding to the user terminal is the user a, when the user a initially logs in the user interaction interface corresponding to the intelligent water meter system of the backend server, the user a may fill in information such as a user name, a unique identification code of the intelligent water meter, a user communication number, and a user address to perform initial real-name user registration. When the user A uses the user terminal to check the user name, the unique identification code of the intelligent water meter, the user communication number and the user address, whether the intelligent water meter corresponding to the unique identification code of the intelligent water meter is arranged at the position corresponding to the user address or not is verified. If the real-name registration information of the user a passes the verification, a corresponding binding relationship is established between the smart water meter and the user a (of course, if the same user has multiple locations to use the smart water meter, multiple smart water meters can respectively establish corresponding binding relationships with the user a, that is, one user corresponds to multiple smart water meters). And then the user A can log in the intelligent water meter system of the background server by using the user terminal and inquire the water consumption data monitored by the intelligent water meter bound with the user A.
For example, when a user terminal used by the user a displays a user interaction interface corresponding to the intelligent water meter system of the background server, the intelligent water meter having a binding relationship with the user a is represented by a water meter image rendered on the interface. When a user selects one of the intelligent water meters and clicks a 'view water data' button control rendered below the intelligent water meter on an interface, a water data acquisition instruction is triggered to be generated and sent to the background server. It can be seen that, based on this mode, the user can use the user terminal to trigger the generation of the water use data acquisition instruction and acquire the water use condition at any time.
S102, the background server enables the water consumption data acquisition instruction to pass through the Internet of things server and the Internet of things total water meter to be sent to a target intelligent water meter in the at least one intelligent water meter.
In this embodiment, for example, still referring to the above example, when the background server receives the water consumption data acquisition instruction uploaded by the user terminal used by the user a, since the water consumption data acquisition instruction includes the unique identification code of the smart water meter, the target device to which the water consumption data acquisition instruction is received may be determined based on the water consumption data acquisition instruction. Based on this, it is possible to quickly determine the target reception target to receive the water use data acquisition instruction.
In one embodiment, step S102 includes:
the background server acquires the unique identification code of the intelligent water meter corresponding to the water consumption data acquisition instruction;
the background server determines a target intelligent water meter in the at least one intelligent water meter according to the unique identification code of the intelligent water meter;
the backend server will water consumption data acquisition instruction process the thing networking server with thing networking total water gauge send to target wisdom water gauge in the at least one wisdom water gauge.
In this embodiment, after the background server receives the water data acquisition instruction uploaded by the user terminal, the unique identification code of the intelligent water meter included in the water data acquisition instruction can be quickly analyzed, so as to determine a target receiving object of the water data acquisition instruction. Later the backend server can only with accurate the sending to of water data acquisition instruction target wisdom water gauge in the at least one wisdom water gauge.
In one embodiment, the background server determines a target intelligent water meter in the at least one intelligent water meter according to the unique identification code of the intelligent water meter, including:
the background server acquires a user address corresponding to the unique identification code of the intelligent water meter in the water consumption data acquisition instruction;
the background server acquires a target intelligent water meter list from a plurality of stored intelligent water meter lists based on the user address;
the background server takes the unique identification code of the intelligent water meter as a retrieval condition to retrieve in the target intelligent water meter list to obtain the target intelligent water meter.
In this embodiment, in order to improve the backend server basis the wisdom water gauge unique identification code confirms the inquiry speed of the target wisdom water gauge among the at least one wisdom water gauge, can also be in acquire the user address that corresponds with the wisdom water gauge unique identification code in the water data acquisition instruction, it is first on the basis of the user address target wisdom water gauge list in a plurality of wisdom water gauge lists of backend server storage. For example, in a plurality of smart water meter lists stored in the background server, after a certain area is divided according to grids, each grid area corresponds to a plurality of user address sets, and all smart water meters included in the user address set corresponding to each grid form a smart water meter list corresponding to the grid. Since the background server knows the user address corresponding to the unique identification code of the intelligent water meter at the moment, the target intelligent water meter list to which the user address belongs is determined. And then, the unique identification code of the intelligent water meter is used as a retrieval condition to retrieve in a target intelligent water meter list, so that the target intelligent water meter can be quickly determined. And finally, the background server is used for acquiring the water consumption data to obtain an instruction to pass through the Internet of things server and the Internet of things total water meter to send to a target intelligent water meter in the at least one intelligent water meter.
S103, the target intelligent water meter responds to the water consumption data acquisition instruction, acquires current water consumption information, and sends the current water consumption information to the background server through the Internet of things server.
In this embodiment, when target wisdom water gauge among at least one wisdom water gauge has received water data acquisition instruction can read its current water information that corresponds (specifically including parameter data such as current water consumption), and will current water information process thing networking server sends to backend server.
After the target intelligent water meter reads current water consumption information, the target intelligent water meter is not directly sent to the background server, but is sent to the internet of things server firstly, and then the internet of things server sends the current water consumption information to the background server. In order to improve data security, after the internet of things server receives the current water consumption information, the current water consumption information is encrypted based on a private key and an encryption algorithm stored in the internet of things server to obtain current encryption water consumption information, and then the internet of things server sends the current encryption water consumption information to the background server. And then, the background server decrypts and restores the current encrypted water consumption information based on a pre-stored public key and a decryption algorithm to obtain the current water consumption information.
And S104, the background server receives and stores the current water consumption information and acquires water consumption plan information of a target user corresponding to the water consumption data acquisition instruction.
In this embodiment, after the background server receives and stores the current water consumption information sent by the target smart water meter, the water consumption plan information of a target user (i.e., the target smart water meter) corresponding to the water consumption data acquisition instruction can be further acquired. The water plan information is a water plan (such as planned water consumption of X1 ton in the month, wherein X1 is a positive number) set by the intelligent water meter bound by the intelligent water meter after the user logs in the intelligent water meter system by using the user terminal, and is generally set by the user in a self-defined manner or generated by recommending by the background server based on historical water consumption data of the user.
In an embodiment, as a first embodiment of acquiring the water usage plan information before step S104, step S104 further includes:
and the background server acquires and stores the water consumption plan information which is set by the target intelligent water meter corresponding to the user definition.
In this embodiment, when the user sets the water usage plan information by user-defined, the specific process is as follows: the user logs in an intelligent water meter system of a background server by using a user terminal, then selects an intelligent water meter to be set with a user plan in an interface, then sets water use plan information for the selected intelligent water meter (for example, an effective time interval corresponding to the water use plan information is more specifically X2 tons in each natural month, and X2 is a positive number), and finally stores the water use plan information. Therefore, the water plan information corresponding to the target intelligent water meter can be quickly obtained based on user-defined setting.
In an embodiment, as a second embodiment of acquiring the water usage plan information before step S104, step S104 further includes:
the background server acquires a historical user label of a user corresponding to the target intelligent water meter;
and screening a plurality of candidate water using plan information stored locally according to the historical user tags to obtain water using plan information.
In this embodiment, when the backend server recommends to generate water usage plan information based on the historical water usage data of the user, the specific process is as follows: when the system time reaches a specified time point (for example, 00 a in the morning). The candidate water plan information corresponding to the plurality of user tags can be pre-stored in the background server, for example, 3 user tags, namely a water-saving person, normal water and more water, are respectively pre-correspondingly provided with one candidate water plan information, and when the historical user tag of the user is determined to be the water-saving person, the candidate water plan information corresponding to the user tag of the water-saving person can be obtained to serve as the water plan information corresponding to the target smart water meter. Therefore, the water plan information is recommended to be generated based on the user label corresponding to the historical water consumption data, and the water plan information corresponding to the target intelligent water meter can be obtained quickly.
S105, the background server determines the current plan execution result of the target user based on the current water consumption information and the water consumption plan information.
In this embodiment, when the background server determines that the current scheduled execution result is in an abnormal execution state, specifically, a current water usage standard data is obtained based on the water usage plan information (for example, if an effective time interval corresponding to the water usage plan information is every natural month, for example, 30 days, and a specific total water usage amount corresponding to the water usage plan information is X2 tons, the current water usage standard data is obtained based on a number of days from the beginning of the month to the current system time and multiplied by X2/30), and if the water usage amount corresponding to the current water usage information is greater than the current water usage standard data, the current scheduled execution result is in an abnormal execution state. Therefore, based on the plan execution judging mode, the current plan execution result of the target user can be accurately obtained.
And S106, if the background server determines that the current plan execution result is in an abnormal execution state, forming input data based on the current water consumption information and the stored historical water consumption information, and inputting the input data to a pre-trained prediction model to obtain current water consumption prediction data.
In this embodiment, the background server may obtain a prediction model (e.g., a BP neural network) pre-stored therein, combine the current water usage information and the stored historical water usage information into input data (generally, obtain the current water usage information and 7-10 previous historical water usage information into input data), and input the input data in the form of a data sequence to the prediction model, so as to obtain the current water usage prediction data of the next day. Therefore, based on the current actual water usage situation and the historical water usage situation of the user, the water usage trend of the user can be predicted to judge whether the user has the trend of abnormal water usage in the future time point.
S107, the background server determines a target water consumption abnormity processing strategy corresponding to the current water consumption information based on the current water consumption information and a prestored water consumption abnormity processing strategy set, and sends the target water consumption abnormity processing strategy to the user terminal.
In this embodiment, the background server may further obtain a target water usage exception handling policy based on the current water usage information. Therefore, a user can timely acquire and process a processing strategy for processing the abnormity of the water pipe corresponding to the intelligent water meter, instead of processing the fault after waiting for a maintenance worker of a water service operator to come after the user calls for repair, the user can firstly take a little measure to maintain based on the target water abnormity processing strategy, and then maintain to remove the fault after the maintenance worker arrives at the site.
In one embodiment, step S107 includes:
determining the water consumption type of the user based on the total water consumption corresponding to the current water consumption information;
and acquiring a target water use exception handling strategy from a pre-stored water use exception handling strategy set according to the user water use type.
In this embodiment, specifically, the type of the water used by the user is determined based on the total water consumption corresponding to the current water use information, for example, when the type of the water used by the user is determined based on the current water use information, and it can be further determined that the type of the water used by the user is one of water leakage failure of a water pipe, water used for cleaning and sanitation, water used for washing clothes, and the like, the target water use abnormality treatment policy corresponding to the type of the water used by the user can be determined based on a pre-stored water use abnormality treatment policy set. And then sending the target water use abnormity processing strategy to the user terminal so as to provide the user terminal with the target water use abnormity processing strategy for viewing. The user can look over the water pipe pipeline that the wisdom water gauge corresponds in order to get rid of the trouble in time based on the target water abnormal handling strategy.
And S108, the background server determines a predicted water use growth rate based on the change rate between the current water use prediction data and the current water use information, acquires a corresponding target water use plan adjustment strategy in a plurality of pre-stored water use plan adjustment strategies according to the predicted water use growth rate, and sends the target water use plan adjustment strategy to the user terminal.
In this embodiment, after the current water usage prediction data is obtained in the server, the predicted water usage increase rate may be obtained by dividing the time interval between the current water usage prediction data and the current water usage information by the difference between the total water usage amount corresponding to the current water usage prediction data and the current water usage information (if the time interval is generally equal to one day). And when the predicted water use increase rate is obtained, the requirement of the user for adjusting the water use plan can be predicted. At this time, the corresponding target water usage plan adjustment strategy may be obtained from a plurality of pre-stored water usage plan adjustment strategies according to the predicted water usage growth rate, and the target water usage plan adjustment strategy may be sent to the user terminal. Therefore, the water use plan is adjusted in time based on the water use growth rate of the user, so that the user can select the water use plan most suitable for the current water use condition in real time.
In an embodiment, step S108 is followed by:
the user terminal sends a water plan adjusting confirmation instruction of the target water plan adjusting strategy to the background server;
and the background server saves the target water consumption plan adjusting strategy based on the water consumption plan adjusting and confirming instruction.
In this embodiment, after the user terminal checks and accepts the target water usage plan adjustment policy, if the original water usage plan information is valid time interval of each natural month, the specific total amount of water usage corresponding to the water usage plan information is X3 tons. At this time, the target water usage plan adjustment strategy is that the water usage plan is that the effective time interval is every natural month, and the specific total water usage amount corresponding to the water usage plan information is X3+ N1 tons (where N1 is an integer and is a preset water usage adjustment value). And when the user receives the target water use plan adjusting strategy pushed by the background server, storing the target water use plan adjusting strategy to replace the original water use plan information.
According to the method, the water consumption data of the intelligent water meter is acquired based on the Internet of things technology, the current plan execution result, the current water consumption prediction data and the target water consumption abnormity processing strategy related to the intelligent water meter are acquired based on data mining and analysis of the water consumption data, the data utilization rate is improved, and the data island problem is avoided.
The embodiment of the application also provides a water use data processing system based on the internet of things, which is used for executing any embodiment of the water use data processing method based on the internet of things. Specifically, referring to fig. 3, fig. 3 is a schematic block diagram of an internet of things-based water data processing system 100 provided in the embodiment of the present application.
Wherein, as shown in fig. 3, water data processing system 100 based on the thing networking includes at least one wisdom water gauge 110, at least one thing networking total water gauge 120, thing networking server 130, backend server 140 and user terminal 150, at least one wisdom water gauge 110 with at least one thing networking total water gauge 120 communication is connected, at least one thing networking total water gauge 120 with thing networking server 130 communication is connected, thing networking server 130 with backend server 140 communication is connected, user terminal 150 with backend server 140 communication is connected.
In order to facilitate understanding of the technical scheme, the intelligent water meter, the internet of things total water meter, the internet of things server, the background server and the user terminal are introduced into the intelligent water meter system.
The smart water meter 110 is deployed at a user, and is capable of monitoring the water consumption of the user and reporting to the total water meter of the internet of things or the water meter of the server of the internet of things, and at least includes a water meter, a flow meter arranged on the water meter, and a narrowband internet of things communication module (i.e., NB-IoT communication module). The intelligent water meter can upload the real-time water consumption data of the user to the total water meter of the internet of things or the water meter of the server of the internet of things on the basis of the NB-IoT communication module after counting the real-time water consumption data of the user on the basis of the flowmeter. Certainly, the wisdom water gauge that relates to in this application also can be replaced by the mode that traditional mechanical type water gauge and camera combined together, and in the mode that traditional mechanical type water gauge and camera combined together with NB-IoT communication module or other wireless communication module (like 4G communication module, 5G communication module) set up on the camera, after the dial plate shooting picture that the camera aimed at traditional mechanical type water gauge obtained the dial plate picture, also can upload the dial plate picture to the backstage server by the camera and carry out image recognition, obtain real-time water consumption data.
The total water meter 120 of the internet of things is a water meter which is spaced from the smart water meters deployed at the users by a distance smaller than a preset distance threshold (e.g. 1 km) and is used for summarizing total data of the smart water meters of the users in the area, and is substantially the same as the smart water meters, namely at least comprises water meters and a flowmeter NB-IoT communication module arranged on the water meters. The difference of thing networking total water gauge and wisdom water gauge lies in that it has the data function of gathering.
The internet of things server 130 is a server capable of wirelessly communicating with the internet of things total water meter or the smart water meter based on the NB-IoT communication module, and is configured to receive and store user water consumption data uploaded by the internet of things total water meter or the smart water meter. Moreover, the internet of things server can upload water consumption data of a plurality of users to the background server for further data mining and application.
Background server 140 can receive the user's water consumption data of a plurality of wisdom water meters or a plurality of thing networking total water meters that thing networking server uploaded to can carry out further data mining and use to it and improve data utilization and use, avoid thing networking server as the data island of user data.
The user terminal 150 may be understood as an intelligent terminal used by a user, such as a smart phone or a tablet computer, and may perform data interaction with the background server to obtain data, such as water consumption data and a water consumption plan, of a real-name user corresponding to the user terminal.
And the user terminal 150 is configured to send the acquired water consumption data acquisition instruction to the background server.
In this embodiment, taking the real-name registered user corresponding to the user terminal as the user a as an example, when the user a initially logs in the user interaction interface corresponding to the intelligent water meter system of the backend server, the user a may fill in information such as a user name, a unique identification code of the intelligent water meter, a user communication number, a user address, and the like to perform initial real-name user registration. When the user A uses the user terminal to check the user name, the unique identification code of the intelligent water meter, the user communication number and the user address, whether the intelligent water meter corresponding to the unique identification code of the intelligent water meter is arranged at the position corresponding to the user address is verified. If the real-name registration information of the user a passes the verification, a corresponding binding relationship is established between the smart water meter and the user a (of course, if the same user has multiple locations to use the smart water meter, multiple smart water meters can respectively establish corresponding binding relationships with the user a, that is, one user corresponds to multiple smart water meters). And then the user A can log in the intelligent water meter system of the background server by using the user terminal and inquire the water consumption data monitored by the intelligent water meter bound with the user A.
For example, when a user terminal used by the user a displays a user interaction interface corresponding to the intelligent water meter system of the background server, the intelligent water meter having a binding relationship with the user a is represented by a water meter image rendered on the interface. When a user selects one of the intelligent water meters and clicks a 'view water data' button control rendered below the intelligent water meter on an interface, a water data acquisition instruction is triggered to be generated and sent to the background server. It can be seen that, based on this mode, the user can use the user terminal to trigger the generation of the water use data acquisition instruction and acquire the water use condition at any time.
The background server 140 is configured to pass through the water consumption data acquisition instruction to the internet of things server and the internet of things total water meter to a target smart water meter in the at least one smart water meter.
In this embodiment, for example, still referring to the above example, when the background server receives the water consumption data acquiring instruction uploaded by the user terminal used by the user a, since the water consumption data acquiring instruction includes the unique identification code of the smart water meter, the target device to which the water consumption data acquiring instruction is received may be determined based on the water consumption data acquiring instruction. Based on this, the target receiving object to receive the water use data acquisition instruction can be quickly determined.
In one embodiment, the background server sends the water data acquisition instruction to a target smart water meter of the at least one smart water meter through the internet of things server and the internet of things total water meter, and the method includes:
the background server acquires the unique identification code of the intelligent water meter corresponding to the water consumption data acquisition instruction;
the background server determines a target intelligent water meter in the at least one intelligent water meter according to the unique identification code of the intelligent water meter;
the background server is used for acquiring the water consumption data and sending the water consumption data acquisition instruction to the target intelligent water meter.
In this embodiment, after the background server receives the water data acquisition instruction uploaded by the user terminal, the unique identification code of the intelligent water meter included in the water data acquisition instruction can be quickly analyzed, so as to determine a target receiving object of the water data acquisition instruction. And then the background server can accurately send the water use data acquisition instruction to a target intelligent water meter in the at least one intelligent water meter.
In one embodiment, the background server determines a target smart water meter of the at least one smart water meter according to the unique identification code of the smart water meter, including:
the background server acquires a user address corresponding to the unique identification code of the intelligent water meter in the water consumption data acquisition instruction;
the background server acquires a target intelligent water meter list from a plurality of stored intelligent water meter lists based on the user address;
the background server takes the unique identification code of the intelligent water meter as a retrieval condition to retrieve in the target intelligent water meter list to obtain the target intelligent water meter.
In this embodiment, in order to improve the backend server basis the wisdom water gauge unique identification code confirms the inquiry speed of the target wisdom water gauge among the at least one wisdom water gauge, can also be in acquire the user address that corresponds with the wisdom water gauge unique identification code in the water data acquisition instruction, it is first on the basis of the user address target wisdom water gauge list in a plurality of wisdom water gauge lists of backend server storage. For example, in the multiple smart water meter lists stored in the background server, after a certain area is divided according to grids, each grid area corresponds to multiple user address sets, and all the smart water meters included in the user address set corresponding to each grid form the smart water meter list corresponding to the grid. Since the background server knows the user address corresponding to the unique identification code of the intelligent water meter at the moment, the target intelligent water meter list to which the user address belongs is determined. And then, the unique identification code of the intelligent water meter is used as a retrieval condition to retrieve in a target intelligent water meter list, so that the target intelligent water meter can be quickly determined. And finally, the background server is used for acquiring the water consumption data to obtain an instruction to pass through the Internet of things server and the Internet of things total water meter to send to a target intelligent water meter in the at least one intelligent water meter.
The target intelligent water meter is used for responding to the water data acquisition instruction, acquiring current water consumption information and sending the current water consumption information to the background server through the Internet of things server.
In this embodiment, when target wisdom water gauge among at least one wisdom water gauge 110 has received the water data acquisition instruction, can read its current water information that corresponds (specifically including parameter data such as current water consumption), and will current water information process the thing networking server sends to background server.
After the target intelligent water meter reads current water consumption information, the target intelligent water meter is not directly sent to the background server, but is sent to the internet of things server firstly, and then the internet of things server sends the current water consumption information to the background server. In order to improve data security, after the internet of things server receives the current water consumption information, the current water consumption information is encrypted based on a private key and an encryption algorithm stored in the internet of things server to obtain current encryption water consumption information, and then the internet of things server sends the current encryption water consumption information to the background server. And then, the background server decrypts and restores the current encrypted water consumption information based on a pre-stored public key and a decryption algorithm to obtain the current water consumption information.
The background server 140 is further configured to receive and store the current water consumption information, and acquire the water consumption plan information of the target user corresponding to the water consumption data acquisition instruction.
In this embodiment, after the background server receives and stores the current water consumption information sent by the target smart water meter, the water consumption plan information of a target user (i.e., the target smart water meter) corresponding to the water consumption data obtaining instruction can be further obtained. The water plan information is a water plan (such as planned water consumption X1 ton in the month, wherein X1 is a positive number) set by the user using the user terminal to log in the intelligent water meter system and specific to the intelligent water meter bound by the user, and is generally set by the user in a self-defined manner or generated by a background server based on historical water consumption data of the user in a recommended manner.
In an embodiment, as a first embodiment of obtaining the water consumption plan information, the backend server 140 is further configured to obtain and store the water consumption plan information of the target smart water meter, which is set by the user in a customized manner.
In this embodiment, when the user sets the water consumption plan information by user-defined, the specific process is as follows: the user logs in an intelligent water meter system of a background server by using a user terminal, then selects an intelligent water meter to be set with a user plan in an interface, then sets water use plan information for the selected intelligent water meter (for example, an effective time interval corresponding to the water use plan information is more specifically X2 tons in each natural month, and X2 is a positive number), and finally stores the water use plan information. Therefore, the water plan information corresponding to the target intelligent water meter can be quickly obtained based on user-defined setting.
In an embodiment, as a second embodiment of obtaining the water usage plan information, the backend server is further configured to:
acquiring a historical user label of a user corresponding to the target intelligent water meter;
and screening a plurality of locally stored candidate water use plan information according to the historical user tags to obtain the water use plan information.
In this embodiment, when the background server recommends generation of water use plan information based on the historical water use data of the user, the specific process is as follows: when the system time reaches a specified time point (for example, 00 a in the morning). The candidate water plan information corresponding to the user tags can be stored in the background server in advance, for example, if 3 user tags including a water saving reach, normal water use and more water use are respectively and correspondingly set with one candidate water plan information in advance, when it is determined that the historical user tag of the user is the water saving reach, the candidate water plan information corresponding to the user tag including the water saving reach can be obtained and used as the water plan information corresponding to the target water meter intelligence. Therefore, the water plan information is recommended to be generated based on the user label corresponding to the historical water consumption data, and the water plan information corresponding to the target intelligent water meter can be obtained quickly.
The background server 140 is further configured to determine a current plan execution result of the target user based on the current water consumption information and the water consumption plan information.
In this embodiment, when the background server determines that the current scheduled execution result is in an abnormal execution state, specifically, a current water usage standard data is obtained based on the water usage plan information (for example, if an effective time interval corresponding to the water usage plan information is 30 days per natural month, and a specific total water usage amount corresponding to the water usage plan information is X2 tons, the current water usage standard data may be obtained based on a number of days from the beginning of the month and a distance of the current system time multiplied by X2/30), and if the water usage amount corresponding to the current water usage information is greater than the current water usage standard data, the current scheduled execution result is in the abnormal execution state. Therefore, based on the plan execution judging mode, the current plan execution result of the target user can be accurately acquired.
The background server 140 is further configured to, if it is determined that the current planned execution result is in an abnormal execution state, form input data based on the current water consumption information and stored historical water consumption information, and input the input data to a pre-trained prediction model to obtain current water consumption prediction data.
In this embodiment, the background server may obtain a prediction model (such as a BP neural network) pre-stored therein, combine the current water consumption information and the stored historical water consumption information into input data (generally, obtain the current water consumption information and 7 to 10 pieces of historical water consumption information before the current water consumption information into input data), and input the input data in the form of a data sequence to the prediction model, so as to obtain the current water consumption prediction data of the next day. Therefore, based on the current actual water usage situation and the historical water usage situation of the user, the water usage trend of the user can be predicted to judge whether the user has the trend of abnormal water usage in the future time point.
The background server 140 is further configured to determine a target water usage exception handling policy corresponding to the current water usage information based on the current water usage information and a pre-stored water usage exception handling policy set, and send the target water usage exception handling policy to the user terminal.
In this embodiment, the background server may further obtain a target water usage exception handling policy based on the current water usage information. Therefore, the user can timely acquire and process the processing strategy that the water pipe corresponding to the intelligent water meter is abnormal, instead of processing the fault after waiting for maintenance personnel of a water service operator to come after the user calls for repair, the user can firstly take a little measure to carry out maintenance based on the target water abnormal processing strategy, and then carry out maintenance to remove the fault after the maintenance personnel arrive at the site.
In an embodiment, the background server 140 is further configured to:
determining the water consumption type of the user based on the total water consumption corresponding to the current water consumption information;
and acquiring a target water use exception handling strategy from a pre-stored water use exception handling strategy set according to the user water use type.
In this embodiment, specifically, the type of the water used by the user is determined based on the total water consumption corresponding to the current water use information, for example, when the type of the water used by the user is one of the water leakage fault of the water pipe, the water used for cleaning and sanitary purposes, and the water used for washing clothes, which is determined based on the current water use information, the target water use exception handling policy corresponding to the type of the water used by the user may be determined based on a pre-stored water use exception handling policy set. And then sending the target water use abnormity processing strategy to the user terminal so as to provide the user terminal with the target water use abnormity processing strategy for viewing. The user can look over the water pipe pipeline that the wisdom water gauge corresponds in order to get rid of the trouble in time based on the target water abnormal handling strategy.
The background server 140 is further configured to determine a predicted water usage increase rate based on a change rate between the current water usage prediction data and the current water usage information, obtain a corresponding target water usage plan adjustment strategy in a plurality of pre-stored water usage plan adjustment strategies according to the predicted water usage increase rate, and send the target water usage plan adjustment strategy to the user terminal.
In this embodiment, after the current water usage prediction data is obtained in the server, the predicted water usage increase rate may be obtained by dividing the time interval between the current water usage prediction data and the current water usage information by the difference between the total water usage amount corresponding to the current water usage prediction data and the current water usage information (if the time interval is generally equal to one day). And when the predicted water use increase rate is obtained, the requirement of the user for adjusting the water use plan can be predicted. At this time, the corresponding target water plan adjustment strategy may be obtained in a plurality of water plan adjustment strategies stored in advance according to the predicted water use increase rate, and the target water plan adjustment strategy may be sent to the user terminal. Therefore, the water use plan is adjusted in time based on the water use increase rate of the user, so that the user can select the water use plan which is most suitable for the current water use condition in real time.
In an embodiment, the user terminal is further configured to send a water plan adjustment confirmation instruction associated with the target water plan adjustment policy to the background server;
and the background server is also used for saving the target water plan adjusting strategy based on the water plan adjusting and confirming instruction.
In this embodiment, after the user terminal checks and accepts the target water usage plan adjustment policy, if the original water usage plan information is valid time interval of each natural month, the specific total amount of water usage corresponding to the water usage plan information is X3 tons. At this time, the target water usage plan adjustment strategy is that the water usage plan is that the effective time interval is every natural month, and the specific total water usage amount corresponding to the water usage plan information is X3+ N1 tons (where N1 is an integer and is a preset water usage adjustment value). And when the user receives the target water use plan adjusting strategy pushed by the background server, storing the target water use plan adjusting strategy to replace the original water use plan information.
The device has realized obtaining the water consumption data of wisdom water gauge based on internet of things to obtain the current plan execution result, current water consumption prediction data and the unusual treatment strategy of target water consumption relevant with wisdom water gauge based on data mining and the analysis to the water consumption data, improve the data usage rate, avoided data isolated island problem.
The internet of things based water data processing system described above may be implemented in the form of a computer program that may be run on a computer device as shown in fig. 4.
Referring to fig. 4, fig. 4 is a schematic block diagram of a computer device according to an embodiment of the present application. The computer device 500 is a server or a cluster of servers. The server may be an independent server, or may be a cloud server that provides basic cloud computing services such as a cloud service, a cloud database, cloud computing, a cloud function, cloud storage, a Network service, cloud communication, a middleware service, a domain name service, a security service, a Content Delivery Network (CDN), and a big data and artificial intelligence platform.
Referring to fig. 4, the computer apparatus 500 includes a processor 502, a memory, which may include a storage medium 503 and an internal memory 504, and a network interface 505 connected by a device bus 501.
The storage medium 503 may store an operating system 5031 and a computer program 5032. The computer programs 5032, when executed, cause the processor 502 to perform the internet of things-based water data processing method.
The processor 502 is used to provide computing and control capabilities that support the operation of the overall computer device 500.
The internal memory 504 provides an environment for the operation of the computer program 5032 in the storage medium 503, and when the computer program 5032 is executed by the processor 502, the processor 502 can be enabled to execute the method for processing the water data based on the internet of things.
The network interface 505 is used for network communication, such as providing transmission of data information. Those skilled in the art will appreciate that the configuration shown in fig. 4 is a block diagram of only a portion of the configuration associated with the present application and does not constitute a limitation of the computer device 500 to which the present application may be applied, and that a particular computer device 500 may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
The processor 502 is configured to run the computer program 5032 stored in the memory, so as to implement the method for processing the water data based on the internet of things disclosed in the embodiment of the present application.
Those skilled in the art will appreciate that the embodiment of a computer device illustrated in fig. 4 does not constitute a limitation on the specific construction of the computer device, and that in other embodiments a computer device may include more or fewer components than those illustrated, or some components may be combined, or a different arrangement of components. For example, in some embodiments, the computer device may only include a memory and a processor, and in such embodiments, the structures and functions of the memory and the processor are consistent with those of the embodiment shown in fig. 4, and are not described herein again.
It should be understood that in the embodiment of the present Application, the Processor 502 may be a Central Processing Unit (CPU), and the Processor 502 may also be other general purpose processors, digital Signal Processors (DSPs), application Specific Integrated Circuits (ASICs), field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Wherein a general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
In another embodiment of the present application, a computer-readable storage medium is provided. The computer-readable storage medium may be a nonvolatile computer-readable storage medium or a volatile computer-readable storage medium. The computer readable storage medium stores a computer program, wherein the computer program, when executed by a processor, implements the method for processing water data based on the internet of things disclosed in the embodiments of the present application.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described apparatuses, devices and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again. Those of ordinary skill in the art will appreciate that the elements and algorithm steps of the examples described in connection with the embodiments disclosed herein may be embodied in electronic hardware, computer software, or combinations of both, and that the components and steps of the examples have been described in a functional general in the foregoing description for the purpose of illustrating clearly the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. 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 application.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus, device and method may be implemented in other ways. For example, the above-described device embodiments are merely illustrative, and for example, the division of the units is only a logical division, and there may be other divisions when the actual implementation is performed, or units having the same function may be grouped into one unit, for example, a plurality of units or components may be combined or may be integrated into another device, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may also be an electric, mechanical or other form of connection.
The units described as separate parts may or may not be physically separate, and parts displayed 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 elements may be selected according to actual needs to achieve the purpose of the solution of the embodiments of the present application.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit may be implemented in the form of hardware, or may also be implemented in the form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a backend server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a magnetic disk, or an optical disk, and various media capable of storing program codes.
While the invention has been described with reference to specific embodiments, the scope of the invention is not limited thereto, and those skilled in the art can easily conceive various equivalent modifications or substitutions within the technical scope of the invention. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims (10)

1. The water data processing method based on the Internet of things is applied to an intelligent water meter system and is characterized in that the intelligent water meter system comprises at least one intelligent water meter, at least one total water meter of the Internet of things, an Internet of things server, a background server and a user terminal, wherein the at least one intelligent water meter is in communication connection with the at least one total water meter of the Internet of things, the at least one total water meter of the Internet of things is in communication connection with the Internet of things server, the Internet of things server is in communication connection with the background server, and the user terminal is in communication connection with the background server; the method comprises the following steps:
the user terminal sends the acquired water data acquisition instruction to the background server;
the background server sends the water data acquisition instruction to a target intelligent water meter in the at least one intelligent water meter through the Internet of things server and the Internet of things main water meter;
the target intelligent water meter responds to the water consumption data acquisition instruction, acquires current water consumption information, and sends the current water consumption information to the background server through the Internet of things server;
the background server receives and stores the current water consumption information and acquires water consumption plan information of a target user corresponding to the water consumption data acquisition instruction;
the background server determines a current plan execution result of the target user based on the current water consumption information and the water consumption plan information;
if the background server determines that the current plan execution result is in an abnormal execution state, forming input data based on the current water consumption information and stored historical water consumption information, and inputting the input data to a pre-trained prediction model to obtain current water consumption prediction data;
the background server determines a target water use abnormity processing strategy corresponding to the current water use information based on the current water use information and a pre-stored water use abnormity processing strategy set, and sends the target water use abnormity processing strategy to the user terminal;
and the background server determines a predicted water use growth rate based on the change rate between the current water use prediction data and the current water use information, acquires a corresponding target water use plan adjustment strategy in a plurality of pre-stored water use plan adjustment strategies according to the predicted water use growth rate, and sends the target water use plan adjustment strategy to the user terminal.
2. The internet of things-based water data processing method according to claim 1, wherein the background server sends the water data acquisition instruction to a target intelligent water meter of the at least one intelligent water meter through the internet of things server and the internet of things main water meter, and the method comprises the following steps:
the background server acquires the unique identification code of the intelligent water meter corresponding to the water consumption data acquisition instruction;
the background server determines a target intelligent water meter in the at least one intelligent water meter according to the unique identification code of the intelligent water meter;
the background server is to use water data acquisition instruction process the thing networking server with the total water gauge of thing networking sends to target wisdom water gauge.
3. The internet of things-based water data processing method according to claim 2, wherein the background server determines a target intelligent water meter of the at least one intelligent water meter according to the unique identification code of the intelligent water meter, and the method comprises the following steps:
the background server acquires a user address corresponding to the unique identification code of the intelligent water meter in the water consumption data acquisition instruction;
the background server acquires a target intelligent water meter list from a plurality of stored intelligent water meter lists based on the user address;
the background server takes the unique identification code of the intelligent water meter as a retrieval condition to retrieve in the target intelligent water meter list to obtain the target intelligent water meter.
4. The internet of things-based water usage data processing method according to claim 1, wherein before the background server determines a current scheduled execution result of the target user based on the current water usage information and the water usage plan information, the method further comprises:
and the background server acquires and stores the water consumption plan information set by the target intelligent water meter corresponding to user definition.
5. The method for processing water data based on the internet of things according to claim 1, wherein before the background server determines the current plan execution result of the target user based on the current water usage information and the water usage plan information, the method further comprises:
the background server acquires a historical user label of a user corresponding to the target intelligent water meter;
and screening a plurality of locally stored candidate water use plan information according to the historical user tags to obtain the water use plan information.
6. The method for processing the water data based on the internet of things as claimed in claim 1, wherein the background server determines a target water usage exception handling policy corresponding to the current water usage information based on the current water usage information and a pre-stored water usage exception handling policy set, and the method comprises the following steps:
determining the water consumption type of the user based on the total water consumption corresponding to the current water consumption information;
and acquiring a target water use exception handling strategy from a pre-stored water use exception handling strategy set according to the user water use type.
7. The method for processing the water data based on the internet of things according to claim 1, wherein after the background server determines a predicted water usage increase rate based on a change rate between the current water usage predicted data and the current water usage information, acquires a corresponding target water usage plan adjustment strategy from a plurality of pre-stored water usage plan adjustment strategy sets according to the predicted water usage increase rate, and sends the target water usage plan adjustment strategy to the user terminal, the method further comprises:
the user terminal sends a water plan adjusting confirmation instruction of the target water plan adjusting strategy to the background server;
and the background server saves the target water use plan adjusting strategy based on the water use plan adjusting and confirming instruction.
8. The utility model provides a water data processing system based on thing networking, its characterized in that, includes at least one wisdom water gauge, at least one thing networking total water gauge, thing networking server, backend server and user terminal, at least one wisdom water gauge with at least one thing networking total water gauge communication connection, at least one thing networking total water gauge with thing networking server communication connection, thing networking server with backend server communication connection, user terminal with backend server communication connection;
the user terminal is used for sending the acquired water consumption data acquisition instruction to the background server;
the background server is used for sending the water use data acquisition instruction to a target intelligent water meter in the at least one intelligent water meter through the Internet of things server and the Internet of things main water meter;
the target intelligent water meter is used for responding to the water consumption data acquisition instruction, acquiring current water consumption information and sending the current water consumption information to the background server through the Internet of things server;
the background server is further used for receiving and storing the current water consumption information and acquiring water consumption plan information of a target user corresponding to the water consumption data acquisition instruction;
the background server is further used for determining a current plan execution result of the target user based on the current water consumption information and the water consumption plan information;
the background server is further used for forming input data based on the current water consumption information and the stored historical water consumption information and inputting the input data to a pre-trained prediction model to obtain current water consumption prediction data if the current plan execution result is determined to be in an abnormal execution state;
the background server is further used for determining a target water use abnormity processing strategy corresponding to the current water use information based on the current water use information and a pre-stored water use abnormity processing strategy set, and sending the target water use abnormity processing strategy to the user terminal;
the background server is further configured to determine a predicted water usage increase rate based on a change rate between the current water usage prediction data and the current water usage information, obtain a corresponding target water usage plan adjustment strategy in a plurality of pre-stored water usage plan adjustment strategies according to the predicted water usage increase rate, and send the target water usage plan adjustment strategy to the user terminal.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the computer program implements the internet of things based water data processing method of any one of claims 1 to 7.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program which, when executed by a processor, causes the processor to carry out the internet of things based water data processing method of any one of claims 1 to 7.
CN202211335129.9A 2022-10-28 2022-10-28 Water use data processing method, system and equipment based on Internet of things Pending CN115689193A (en)

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CN115994837A (en) * 2023-03-23 2023-04-21 河北雄安睿天科技有限公司 Management system and method for water affair data
CN116882662A (en) * 2023-06-21 2023-10-13 珠海绎至科技有限公司 Smart park management method, device, management system and storage medium
CN116882662B (en) * 2023-06-21 2024-02-13 珠海绎至科技有限公司 Smart park management method, device, management system and storage medium
CN116703255A (en) * 2023-08-09 2023-09-05 深圳市深水水务咨询有限公司 Intelligent data processing method, device, equipment and medium of water-saving carrier
CN116911580A (en) * 2023-09-14 2023-10-20 深圳市深水水务咨询有限公司 Intelligent school water use super-plan data processing method and device based on Internet of things
CN116911580B (en) * 2023-09-14 2023-12-15 深圳市深水水务咨询有限公司 Intelligent school water use super-plan data processing method and device based on Internet of things

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