CN113176758A

CN113176758A - Data acquisition, monitoring, early warning and maintenance method and system for intelligent water service pipe network

Info

Publication number: CN113176758A
Application number: CN202110451278.0A
Authority: CN
Inventors: 许圣传; 孙永跃; 顾江源; 王慧君; 梁蕊
Original assignee: Tianjin Chentian Automation Equipment Engineering Co ltd
Current assignee: Tianjin Chentian Automation Equipment Engineering Co ltd
Priority date: 2021-04-26
Filing date: 2021-04-26
Publication date: 2021-07-27
Anticipated expiration: 2041-04-26
Also published as: CN113176758B

Abstract

The invention provides a data acquisition, monitoring, early warning and maintenance method of an intelligent water service pipe network, which comprises the following steps: the method comprises the steps that position information of a mobile terminal of a user, a water fee payment record of the user and historical water consumption time period data are obtained through a cloud server; step b: monitoring the intelligent water meter in real time to obtain flow information of the intelligent water meter; step c: after the intelligent water meter detects the water flow information, whether the mobile terminal is located in the preset position or not is judged, and alarm information is output to the mobile terminal according to the judgment result. The position of the user is judged through the position of the mobile terminal, the water flow condition of the user at home is monitored according to the position of the user, and according to the historical water condition, whether the water leakage condition occurs at the user at home is judged, the pipeline can be timely alarmed and timely cut off to the user, the water leakage detection and the alarm can be effectively carried out at the user at home, the loss brought to the user is reduced, and the waste of water resources is avoided.

Description

Data acquisition, monitoring, early warning and maintenance method and system for intelligent water service pipe network

Technical Field

The invention relates to the technical field of water pipe network early warning, in particular to a data acquisition monitoring early warning maintenance method and a data acquisition monitoring early warning maintenance system for an intelligent water pipe network.

Background

At present, a water pipe network is also called a water supply pipe network, and is a pipeline system for delivering water and distributing water to users in water supply engineering. It includes water delivery pipe canal, water distribution pipe network, booster pump station, water tower, water pool, pipe network accessory facilities, etc. The pipe duct from the water source to the water plant only has the function of water delivery, and is called a water delivery pipe network; the pipeline from the water plant is called water distribution pipe network. The pipeline mainly used for water transmission in the water distribution pipe network is called a main pipe, the pipeline which is used for water distribution is branched from the main pipe and is called a branch pipe, and the branch pipe is communicated with a user and is called a user branch pipe.

Meanwhile, an intelligent water meter is generally installed in the existing water service management network, and the intelligent water meter is a novel water meter which measures water consumption by using a modern microelectronic technology, a modern sensing technology and an intelligent IC card technology and transmits water consumption data and settles transactions. Compared with the traditional water meter which only has the functions of flow acquisition and mechanical pointer display of water consumption, the water meter is a great improvement. The intelligent water meter can record and electronically display the water consumption, can control the water consumption, automatically complete the water fee calculation of the stepped water price and simultaneously has the function of water data storage.

In current water utilities pipe network, when supplying water to the user, because the quality of the water pipe in the user's house and hardware fitting's is uneven, very easily cause the damage of water pipe and hardware fitting and lead to the phenomenon that appears leaking in the user's house to take place, when the condition of leaking takes place, if the nobody in the user's house, just the processing of leaking that can't be timely carries out, can bring huge loss for the user, also cause the waste of water resource simultaneously. In addition, an effective water leakage early warning system is lacked in the prior art so as to timely discover and early warn the water leakage condition of the user home, thereby reducing the loss of the user and the waste of water resources.

Disclosure of Invention

In view of the above, the invention provides a data acquisition, monitoring, early warning and maintenance method and system for an intelligent water service pipe network, and aims to solve the problem that when no one is at home, a user leaks water, how to effectively detect and early warn the water leakage so as to timely control the water leakage and avoid larger loss.

In one aspect, the invention provides a data acquisition, monitoring, early warning and maintenance method for an intelligent water service pipe network, which comprises the following steps:

step a: the method comprises the steps that position information of a mobile terminal of a user is obtained through a cloud server, and water fee payment records and historical water consumption time period data of the user are obtained;

step b: the cloud server monitors the intelligent water meter corresponding to the user in real time to acquire flow information of the intelligent water meter;

step c: after the intelligent water meter detects water flow information, judging whether the mobile terminal is in a preset position or not through the cloud server, and outputting alarm information to the mobile terminal according to a judgment result; wherein the content of the first and second substances,

in the step c, when judging whether the mobile terminal is in a preset position, and when the mobile terminal is in the preset position, acquiring a water using time node at the moment, judging whether the water using time node is in a historical water using time period of the user, and if so, continuously detecting flow information; if not, sending abnormal water consumption alarm information to the mobile terminal;

when the mobile terminal is not in a preset position, abnormal water use alarm information is directly sent to the mobile terminal, and when an abnormal water use instruction is fed back by the mobile terminal, the intelligent water meter stops supplying water; when the mobile terminal feeds back a normal water use instruction, the intelligent water meter is enabled to continue water supply, the real-time water consumption in the water use time period is obtained, the real-time water consumption is compared with the historical water consumption in the historical water use time period, when the real-time water consumption is less than or equal to the historical water consumption, water supply is continued, and when the real-time water consumption is greater than the historical water consumption, the flow of the intelligent water meter is reduced.

Further, the cloud server is in communication connection with a router in the user home, data traffic monitoring is carried out on the router, and real-time data traffic delta Q of the router is obtained in real time;

in the step c, when it is determined that the mobile terminal is not located in the preset position and before the abnormal water consumption alarm information is sent to the mobile terminal, it is first detected whether the real-time data flow Δ Q is greater than or equal to a preset standard data flow Q0, and when the real-time data flow Δ Q is greater than or equal to a preset standard data flow Q0, the abnormal water consumption alarm information does not need to be sent to the mobile terminal, so that the intelligent water meter continues to supply water; and when the real-time data flow delta Q is smaller than a preset standard data flow Q0, sending abnormal water use alarm information to the mobile terminal.

Further, when the real-time data flow rate Δ Q is greater than or equal to a preset standard data flow rate Q0, selecting a preset water supply flow rate as the flow rate of the intelligent water meter during water supply according to the relationship between the real-time data flow rate Δ Q and each preset data flow rate.

Further, after the flow of the intelligent water meter during water supply is set, the real-time client access amount delta A of the router is obtained, and a preset water supply flow correction coefficient is selected according to the relation between the real-time client access amount delta A and the preset client access amounts so as to correct the set flow of the intelligent water meter.

Further, in the step c, when it is determined that the mobile terminal is not located in the preset position and before the warning information of abnormal water consumption is sent to the mobile terminal, acquiring real-time humidity information Δ E in the user room, setting a first preset humidity E1, a second preset humidity E2, a third preset humidity E3 and a fourth preset humidity E4, where E1 < E2 < E3 < E4, and setting a warning level according to a relationship between the real-time humidity information Δ E and each of the preset humidities:

when delta E is less than E1, setting the alarm level as a low alarm level, and continuously monitoring the humidity change in the user room;

when the E1 is not more than or equal to delta E which is less than E2, setting the alarm level as a middle alarm level, and sending abnormal water use alarm information to the mobile terminal;

when the E2 is not more than or equal to delta E which is less than E3, setting the alarm level as a high alarm level, and reducing the flow of the intelligent water meter;

and when the E3 is less than or equal to the delta E < E4, setting the alarm level as a dangerous alarm level, and cutting off the water source to stop supplying water.

Further, after the alarm level is set, acquiring the number Δ M of the running electrical appliances in the user room, setting a first preset running electrical appliance number M1, a second preset running electrical appliance number M2, a third preset running electrical appliance number M3 and a fourth preset running electrical appliance number M4, wherein M1 is more than M2 and more than M3 is more than M4, and adjusting the set alarm level according to the relationship between the running electrical appliance number Δ M and each preset running electrical appliance number:

when the delta M is less than M1, adjusting the low alarm level, the medium alarm level and the high alarm level to be dangerous alarm levels, and cutting off a water source;

when M1 is more than or equal to and delta M is more than M2, the low alarm level and the middle alarm level are adjusted to be high alarm levels, and the flow of the intelligent water meter is reduced

When M2 is not more than or equal to and delta M is less than M3, adjusting the low alarm level to be a medium alarm level, and sending abnormal water use alarm information to the mobile terminal;

when M3 is not more than or equal to delta M is less than M4, the alarm level is not adjusted;

and when M4 is less than or equal to delta M, reducing the middle alarm level, the high alarm level and the danger alarm level by one level.

Compared with the prior art, the intelligent water meter monitoring system has the advantages that the cloud server is in communication connection with the intelligent water meter to monitor the flow of the intelligent water meter, the position of a user is judged by acquiring the position of a mobile terminal of the user, the water flow condition of the home of the user is monitored according to the position of the user, whether the water leakage condition occurs in the home of the user is judged according to the historical water use condition, the user can be alarmed in time, a pipeline can be cut off in time, the water leakage detection and alarm in the home of the user can be effectively carried out, the loss of the user caused by water leakage is reduced, and the waste of water resources is avoided.

Furthermore, the position of the user can be effectively determined by judging the position of the user according to the position of the mobile terminal of the user so as to judge whether the user is at home, and when the user is at home, if the water meter moves, the normal water use is determined; if the user is not at home, the situation of water leakage probably exists in the user's house is judged, so that the water leakage can be timely treated by cutting off the water supply of the intelligent water meter, the water leakage situation is prevented from being further expanded, the water leakage prevention can be effectively carried out, and the water safety of the user is improved. Meanwhile, the water leakage condition is judged according to the position of the user, so that the accuracy of the judgment result can be greatly improved.

Further, when judging whether the mobile terminal is in a preset position or not, when the mobile terminal is in the preset position, acquiring a water using time node at the moment, judging whether the water using time node is in a historical water using time period of the user or not, and if so, continuously detecting flow information; if not, sending abnormal water consumption alarm information to the mobile terminal; when the mobile terminal is not in the preset position, the alarm information about water use abnormity is directly sent to the mobile terminal, when the mobile terminal feeds back an abnormal water use instruction, the intelligent water meter stops supplying water, the water leakage condition is judged through the process, the accuracy of a judgment result can be improved, and the judgment efficiency can be effectively improved.

On the other hand, the invention also provides a data acquisition, monitoring, early warning and maintenance system of the intelligent water service pipe network, which comprises the following components: the system comprises a cloud server and an intelligent water meter, wherein the cloud server is used for acquiring the position information of a mobile terminal of a user, and the water fee payment record and the historical water consumption time period data of the user; the cloud server is in communication connection with the intelligent water meter; wherein the content of the first and second substances,

the cloud server comprises an acquisition module and a processing module, wherein the acquisition module is used for monitoring the intelligent water meter corresponding to the user in real time so as to acquire flow information of the intelligent water meter;

the processing module is used for judging whether the mobile terminal is in a preset position or not after the intelligent water meter detects water flow information, and outputting alarm information to the user terminal according to a judgment result; wherein the content of the first and second substances,

the processing module is used for acquiring a water using time node at the moment when judging whether the mobile terminal is in a preset position or not and when the mobile terminal is in the preset position, judging whether the water using time node is in a historical water using time period of the user or not, and continuously detecting flow information if the water using time node is in the historical water using time period of the user; if not, sending abnormal water consumption alarm information to the mobile terminal;

Further, the cloud server comprises a data traffic detection module, the data traffic detection module is in communication connection with a router in the home of the user, and the data traffic detection module is used for detecting data traffic of the router and acquiring real-time data traffic delta Q of the router in real time;

the processing module is further configured to, when it is determined that the mobile terminal is not located in the preset position and before the water consumption abnormality alarm information is sent to the mobile terminal, first determine whether the real-time data flow Δ Q is greater than or equal to a preset standard data flow Q0, and when the real-time data flow Δ Q is greater than or equal to a preset standard data flow Q0, make the intelligent water meter continue to supply water without sending the water consumption abnormality alarm information to the mobile terminal; and when the real-time data flow delta Q is smaller than a preset standard data flow Q0, sending abnormal water use alarm information to the mobile terminal.

Further, the processing module is further configured to select a preset water supply flow as the flow of the intelligent water meter during water supply according to a relationship between the real-time data flow Δ Q and each preset data flow when the real-time data flow Δ Q is greater than or equal to a preset standard data flow Q0.

Furthermore, the processing module is further configured to, after setting the flow rate of the intelligent water meter during water supply, obtain a real-time client access amount Δ a accessed to the router, and select a preset water supply flow correction coefficient according to a relationship between the real-time client access amount Δ a and each preset client access amount, so as to correct the set flow rate of the intelligent water meter.

Further, the processing module is further configured to, when it is determined that the mobile terminal is not located in the preset position and before the abnormal water consumption alarm information is sent to the mobile terminal, acquire real-time humidity information Δ E in the user room, set a first preset humidity E1, a second preset humidity E2, a third preset humidity E3, and a fourth preset humidity E4, where E1 < E2 < E3 < E4, and set an alarm level according to a relationship between the real-time humidity information Δ E and each of the preset humidities:

Further, the processing module is further configured to, after the alarm level is set, obtain the number Δ M of currently-operating electrical appliances in the user room, set a first preset number M1 of currently-operating electrical appliances, a second preset number M2 of currently-operating electrical appliances, a third preset number M3 of currently-operating electrical appliances, and a fourth preset number M4 of currently-operating electrical appliances, where M1 is greater than M2 and greater than M3 is less than M4, and adjust the set alarm level according to a relationship between the number Δ M of currently-operating electrical appliances and each of the preset numbers of currently-operating electrical appliances:

It can be understood that the data acquisition, monitoring, early warning and maintenance system of the intelligent water pipe network and the data acquisition, monitoring, early warning and maintenance method of the intelligent water pipe network have the same beneficial effects, and are not repeated herein.

Drawings

Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:

fig. 1 is a flowchart of a data acquisition, monitoring, early warning and maintenance method for an intelligent water pipe network according to an embodiment of the present invention;

fig. 2 is a first functional block diagram of a data acquisition, monitoring, early warning and maintenance system of an intelligent water pipe network according to an embodiment of the present invention;

FIG. 3 is a second functional block diagram of a data acquisition, monitoring, early warning and maintenance system for an intelligent water pipe network according to an embodiment of the present invention

Detailed Description

Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art. It should be noted that the embodiments and features of the embodiments may be combined with each other without conflict. The present invention will be described in detail below with reference to the embodiments with reference to the attached drawings.

Referring to fig. 1, the present embodiment provides a data acquisition, monitoring, early warning and maintenance method for an intelligent water pipe network, which includes the following steps:

step a: the method comprises the steps that position information of a mobile terminal of a user, a water fee payment record of the user and historical water consumption time period data are obtained through a cloud server;

step c: after the intelligent water meter detects the water flow information, whether the mobile terminal is located in the preset position or not is judged through the cloud server, and alarm information is output to the user terminal according to the judgment result.

Particularly, with the family thing networking communication connection in cloud server and the user's family, simultaneously, the cloud server still carries out communication connection with the intelligent water gauge that the user used, and the family thing networking still carries out communication connection with intelligent water gauge to the very big collection and the interaction of the data of being convenient for. Specifically, the specific connection communication mode of the cloud server, the family Internet of things and the intelligent water meter is not limited, and the three can communicate only to perform data interaction.

Specifically, the intelligent water meter is internally provided with a communication module, and the intelligent water meter can be accessed to the Internet through the communication module. Meanwhile, the cloud server and the family Internet of things are both connected to the Internet. After the cloud server, the family Internet of things and the intelligent water meter are all connected to the Internet, data interaction and communication can be conducted.

Specifically, a water fee payment record and historical water use time period data of a user are stored in a cloud server, the cloud server obtains the water fee payment record of the user through big data or a water service payment system, the water use data of the user are obtained through long-term monitoring of an intelligent water meter of the user, the water use data of the user are processed and analyzed, the water use time period of the user and information such as water use amount and water use duration in each water use time period are determined, historical water use time period data of the user are generated, and the historical water use time period data can be maintained and updated in real time according to subsequent monitoring.

Specifically, the cloud server is connected with the intelligent water meter for communication, and the water flow information of the intelligent water meter is monitored in real time through the cloud server. That is, the intelligent water meter has the rivers measurement function, through intelligent water meter communication module with its rivers information transmission in real time to the cloud ware in.

Specifically, after the cloud server is connected with the family Internet of things for communication, the family Internet of things transmits household appliance operation data in the family of the user to the cloud server in real time.

Specifically, a mobile terminal of a user is in communication connection with a cloud server, an identity authentication mechanism is established when the mobile terminal and the cloud server are in communication, and the mobile terminal is accessed to the cloud server after passing identity authentication. The cloud server can acquire the real-time positioning information of the mobile terminal in real time or at any time, that is, the mobile terminal opens the position information authority to the cloud server, so that the cloud server can acquire the real-time position information of the mobile terminal in real time. That is, after acquiring the location of the mobile terminal, the cloud server can determine the location of the user.

Specifically, the preset position is a home position of the user and is also an installation position of the intelligent water meter.

It can be seen that carry out communication connection through cloud ware and intelligent water gauge, in order to monitor the flow of intelligent water gauge, through the position that acquires user's mobile terminal, thereby judge user's position, and monitor the water flow condition in the user family according to user's position, and according to the historical water condition, whether the condition of leaking appears in order to judge the user family, thereby can be timely report to the police and timely pipeline that cuts off to the user, thereby can leak detection and warning to the carrying on in the user family effectively, in order to reduce the loss that leaks and bring for the user, avoid the waste of water resource.

Specifically, in step c, when determining whether the mobile terminal is located in the preset position, the cloud server compares the position information of the mobile terminal of the user with the home position of the user after acquiring the position information of the mobile terminal of the user, and determines whether the position of the mobile terminal is located in the home position range of the user.

Specifically, when the mobile terminal is in a preset position, namely when the position of the mobile terminal is in the range of the home position of the user, the current water utilization time node is obtained, namely the current water utilization time point is obtained, whether the water utilization time node is in the historical water utilization period of the user or not is judged, namely whether the current water utilization time point is in the historical water utilization period or not is judged, if yes, the flow information is continuously detected, and after the water utilization of the user is finished, the water utilization cost information of the period is sent to the mobile terminal; if not, sending abnormal water consumption alarm information to the mobile terminal, judging whether to continue water supply according to the instruction of the user, enabling the intelligent water meter to continue water supply when the mobile terminal feeds back a normal water consumption instruction, and enabling the intelligent water meter to stop water supply when the mobile terminal feeds back an abnormal water consumption instruction.

Specifically, when the mobile terminal is not in the preset position, namely when the position of the mobile terminal is not in the range of the home position of the user, abnormal water use alarm information is directly sent to the mobile terminal, whether water supply is continued or not is judged according to the instruction of the user, and when the mobile terminal feeds back an abnormal water use instruction, the intelligent water meter stops supplying water; when the mobile terminal feeds back a normal water use instruction, the intelligent water meter is enabled to continue to supply water, the real-time water consumption in the water use time period is obtained, and the real-time water consumption is compared with the historical water consumption in the historical water use time period, namely, when the intelligent water meter continues to supply water, the real-time water consumption is obtained, the real-time water consumption is compared with the historical water consumption data of a user, and the flow size during water supply is controlled according to the comparison result. When the real-time water consumption is less than or equal to the historical water consumption, the water is continuously supplied at the current flow, and when the real-time water consumption is more than the historical water consumption, the flow of the intelligent water meter is reduced.

Specifically, the position of the user can be effectively determined by judging the position of the user according to the position of the mobile terminal of the user so as to judge whether the user is at home, and when the user is at home, if the water meter walks away, the normal water use is determined; if the user is not at home, the situation of water leakage probably exists in the user's house is judged, so that the water leakage can be timely treated by cutting off the water supply of the intelligent water meter, the water leakage situation is prevented from being further expanded, the water leakage prevention can be effectively carried out, and the water safety of the user is improved. Meanwhile, the water leakage condition is judged according to the position of the user, so that the accuracy of the judgment result can be greatly improved.

Specifically, when judging whether the mobile terminal is in a preset position or not, when the mobile terminal is in the preset position, acquiring a water consumption time node at the moment, judging whether the water consumption time node is in a historical water consumption time period of a user or not, and if so, continuously detecting flow information; if not, sending water use abnormity alarm information to the mobile terminal; when mobile terminal is not in the preset position, directly send the unusual alarm information of water use to mobile terminal, when mobile terminal feedback improper water instruction, make intelligent water gauge stop supplying water, carry out the judgement of the condition of leaking through above-mentioned process, not only can improve the accuracy of judged result, can also improve judgement efficiency effectively.

Particularly, the mobile terminal of the user is preferably a mobile phone, and the mobile terminal of the user is internally provided with an APP (application), and the APP is used for interacting with a cloud server, so that the user can perform water management, alarm feedback operation and the like through the APP.

Specifically, in the step b, the cloud server is in communication connection with the family internet of things, and the cloud server is in communication connection with the internet of things in the user home, so that the network use condition in the user home can be effectively collected. Specifically, the cloud server is in communication connection with a router in a user home, data traffic detection is performed on the router through a data traffic detection module built in the cloud server, so that real-time data traffic information of the router is obtained in real time, and the obtained data traffic information of the router is recorded as real-time data traffic Δ Q.

Specifically, in step c, when it is determined that the mobile terminal is not located in the preset position and before the abnormal water consumption alarm information is sent to the mobile terminal, first, it is detected whether the real-time data flow Δ Q is greater than or equal to a preset standard data flow Q0, and when the real-time data flow Δ Q is greater than or equal to a preset standard data flow Q0, the abnormal water consumption alarm information does not need to be sent to the mobile terminal, so that the intelligent water meter continues to supply water; and when the real-time data flow delta Q is smaller than the preset standard data flow Q0, sending water use abnormity alarm information to the mobile terminal.

Specifically, the preset standard data traffic Q0 is a data traffic value preset in the cloud server, and is used as a standard value of the data traffic to evaluate the real-time data traffic Δ Q. The preset standard data flow Q0 can be set according to actual conditions.

It can be seen that whether a person is in the user's home is judged according to the network use condition in the user's home, that is, when the network data flow in the user's home is high, the person is judged to be in the user's home, and thus the water is determined to be normally used; when the network data flow at user's home is lower, then judge that no one is in the user's home, the water of this moment is then deeming to be abnormal water use to carry out the warning of water use condition, and carry out water use control according to user's feedback, thereby the water use when judgement mobile terminal that can be accurate is not presetting the position within range is normal water use, whether unusual leaking, thereby the judgement water use condition that can be accurate and leak and whether take place, can greatly improve the accuracy of judgement.

Specifically, when the real-time data flow rate Δ Q is greater than or equal to the preset standard data flow rate Q0, a preset water supply flow rate is selected as the flow rate of the intelligent water meter during water supply according to the relationship between the real-time data flow rate Δ Q and each preset data flow rate.

Specifically, when the real-time data flow Δ Q is greater than or equal to the preset standard data flow Q0, setting a first preset water supply flow S1, a second preset water supply flow S2, a third preset water supply flow S3 and a fourth preset water supply flow S4, wherein S1 is greater than S2 is greater than S3 is greater than S4, further setting a first preset data flow Q1, a second preset data flow Q2, a third preset data flow Q3 and a fourth preset data flow Q4, wherein Q0 is greater than Q1 is greater than Q2 is greater than Q3 is greater than Q4, and selecting each preset water supply flow as the flow when the intelligent water meter supplies water according to the relationship between the real-time data flow Δ Q and each preset data flow:

when Q0 is not less than or equal to delta Q is less than Q1, selecting a first preset water supply flow S1 as the flow of the intelligent water meter during water supply;

when Q1 is not less than or equal to delta Q is less than Q2, selecting a second preset water supply flow S2 as the flow of the intelligent water meter during water supply;

when Q2 is not less than or equal to delta Q is less than Q3, selecting a third preset water supply flow S3 as the flow of the intelligent water meter during water supply;

and when Q3 is not less than delta Q < Q4, selecting a fourth preset water supply flow S4 as the flow of the intelligent water meter during water supply.

It can be seen that through the in service behavior according to data flow, judge the personnel activity degree in the user's family to further reflect the personnel's in the user's family how much, thereby according to personnel activity degree and how much control water supply flow of personnel, thereby when guaranteeing sufficient water supply, can also prevent the waste of water resource, reduce the running cost of water pipe network.

Specifically, after the flow of the intelligent water meter during water supply is set, the real-time client access amount delta A of the access router is obtained, and a preset water supply flow correction coefficient is selected according to the relation between the real-time client access amount delta A and the preset client access amount, so that the set flow of the intelligent water meter is corrected.

Particularly, when a user is at home, the number of personnel at the home of the user is judged according to the number of the clients accessing the router, and the flow of the intelligent water meter during water supply is adjusted according to the number of the personnel, so that the water supply efficiency can be improved. The client of the access router is preferably a handset.

Specifically, after the flow rate of the intelligent water meter during water supply is set, the real-time client access amount delta A of the access router is obtained, a first preset client access amount A1, a second preset client access amount A2, a third preset client access amount A3 and a fourth preset client access amount A4 are set, A1 is more than A2 and more than A3 and more than A4, a first preset water supply flow correction coefficient a1, a second preset water supply flow correction coefficient a2, a third preset water supply flow correction coefficient A3 and a fourth preset water supply flow correction coefficient a4 are also set, and a1 is more than 1 and more than a2 and more than A3 and more than a 4; selecting a preset water supply flow correction coefficient according to the relation between the real-time client access amount delta A and each preset client access amount so as to correct the water supply flow after setting the flow when the intelligent water meter supplies water as the ith preset water supply flow Si, wherein i is 1, 2, 3, 4:

when A1 is larger than delta A and is not larger than A2, selecting a first preset water supply flow correction coefficient a1 to correct the flow of the intelligent water meter during water supply, wherein the corrected flow of the intelligent water meter during water supply is Si a 1;

when A2 is larger than delta A and is not larger than A3, selecting a second preset water supply flow correction coefficient a2 to correct the flow of the intelligent water meter during water supply, wherein the corrected flow of the intelligent water meter during water supply is Si a 2;

when A3 is larger than delta A and is not larger than A4, selecting a third preset water supply flow correction coefficient A3 to correct the flow of the intelligent water meter during water supply, wherein the corrected flow of the intelligent water meter during water supply is Si A3;

and when A4 is less than delta A, selecting a fourth preset water supply flow correction coefficient a4 to correct the flow of the water supplied by the intelligent water meter, wherein the corrected flow of the water supplied by the intelligent water meter is Si x a 4.

Therefore, the flow of the intelligent water meter during water supply is corrected according to the client access amount of the router, the water supply efficiency can be improved, and the sufficiency of a water source is ensured.

Particularly, install humidity detecting element in the user family, and humidity detecting element and family internet of things connection communication, detect the humidity information in the user family through humidity detecting element, the family internet of things uploads the humidity information who obtains to the cloud ware in. The humidity sensing unit is preferably provided in a kitchen or a toilet of a user's home. The humidity detection unit is preferably a humidity sensor.

In the step c, when the cloud server judges that the mobile terminal is not located in the preset position, before the abnormal water consumption alarm information is sent to the mobile terminal, humidity information in the home of the user is obtained through the home Internet of things, and the cloud server stores the humidity information uploaded by the home Internet of things. The cloud server acquires real-time humidity information delta E in a user room, sets a first preset humidity E1, a second preset humidity E2, a third preset humidity E3 and a fourth preset humidity E4, sets an alarm level according to the relation between the real-time humidity information delta E and each preset humidity, wherein E1 is more than E2 and more than E3 is more than E4:

when the delta E is less than E1, setting the alarm level as a low alarm level, and continuously monitoring the humidity change in the user room;

when the E2 is more than or equal to the delta E which is less than E3, setting the alarm level as a high alarm level, and reducing the flow of the intelligent water meter;

Specifically, after the alarm level is set by the cloud server, the running electrical appliances in the user room are obtained through the family Internet of things, the running electrical appliance information is uploaded to the cloud server through the family Internet of things, and the cloud server extracts the quantity information of the running electrical appliances from the running electrical appliance information uploaded by the family Internet of things and records the quantity information as the quantity delta M of the running electrical appliances. The household Internet of things obtains household appliances running in a user room, such as a water heater, an induction cooker, a television, a treadmill and the like.

Specifically, a first preset running electric appliance number M1, a second preset running electric appliance number M2, a third preset running electric appliance number M3 and a fourth preset running electric appliance number M4 are further set in the cloud server, M1 is more than M2 and more than M3 is more than M4, and the set alarm level is adjusted according to the relation between the running electric appliance number delta M and each preset running electric appliance number:

when the delta M is less than M1, adjusting the low alarm level, the medium alarm level and the high alarm level to dangerous alarm levels, and cutting off the water source;

when the M1 is not more than or equal to and the delta M is less than M2, the low alarm level and the middle alarm level are adjusted to be high alarm levels, and the flow of the intelligent water meter is reduced;

when M2 is not more than or equal to delta M is less than M3, adjusting the low alarm level to be the medium alarm level, and sending abnormal water use alarm information to the mobile terminal;

when M3 is not more than or equal to Δ M is less than M4, the alarm level is not adjusted;

and when M4 is less than or equal to delta M, reducing the medium alarm level, the high alarm level and the dangerous alarm level by one level.

Therefore, the alarm grade is set according to the number of the electric appliances in the set operation, so that the alarm grade is accurately set, and the alarm accuracy is improved.

Referring to fig. 2, in another preferred implementation manner based on the foregoing embodiment, the implementation manner provides a data acquisition, monitoring, early warning and maintenance system for an intelligent water pipe network, including: the system comprises a cloud server and an intelligent water meter, wherein the cloud server is used for acquiring the position information of a mobile terminal of a user, and the water fee payment record and the historical water consumption time period data of the user; and the cloud server is in communication connection with the intelligent water meter.

Specifically, the water fee payment record and the historical water consumption time period data of the user are stored in a cloud server, the cloud server is communicated with the water service payment system, or the cloud server is accessed to big data, and the cloud server acquires the water fee payment record of the user through the big data or the water service payment system. The cloud server is further used for monitoring the intelligent water meter of the user for a long time to obtain water consumption data of the user, processing and analyzing the water consumption data of the user to determine the water consumption time period of the user and information such as water consumption, water consumption duration and the like in each water consumption time period, so that historical water consumption time period data of the user are generated, and the historical water consumption time period data can be maintained and updated in real time according to subsequent monitoring.

Particularly, the system further comprises a family Internet of things, the cloud server is further in communication connection with the family Internet of things, and meanwhile the family Internet of things is further in communication connection with the intelligent water meter. With the family thing networking communication connection in cloud server and the user family, simultaneously, the cloud server still carries out communication connection with the intelligent water gauge that the user used, and the family thing networking still carries out communication connection with the intelligent water gauge to very big collection and the interaction of the data of being convenient for, promptly, can be wherein when both direct connection communication break off, can carry out the relay connection through another unit, in order to guarantee the normal operating of system. Specifically, the specific connection communication mode of the cloud server, the family Internet of things and the intelligent water meter is not limited, and the three can communicate only to perform data interaction.

Specifically, the cloud server comprises an acquisition module and a processing module, wherein the acquisition module is used for monitoring the intelligent water meter corresponding to the user in real time to acquire the flow information of the intelligent water meter. After the intelligent water meter is connected with the cloud server for communication, the intelligent water meter is monitored in real time through the acquisition module, and after the intelligent water meter generates water flow information, the intelligent water meter uploads the water flow information to the acquisition module in real time, so that the acquisition module acquires the flow information of the intelligent water meter in real time.

Particularly, the acquisition module is connected with the intelligent water meter for communication, and water flow information of the intelligent water meter is monitored in real time through the acquisition module. That is, the intelligence water gauge has rivers measurement function, and communication module through the intelligence water gauge with its in real time rivers information transmission to collection module in, collection module is with the information transmission to processing module of gathering again.

Specifically, the processing module is used for judging whether the mobile terminal is located in a preset position or not after the intelligent water meter detects water flow information, and outputting alarm information to the user terminal according to a judgment result. The acquisition module is connected with the processing module, and after the acquisition module acquires the flow information of the intelligent water meter, the flow information of the intelligent water meter is transmitted to the processing module, and then the processing module corresponds to the flow information to inquire and judge the position of the mobile terminal, judge whether the mobile terminal is in a preset position or not, and output alarm information to the user terminal according to a judgment result.

Specifically, the mobile terminal is connected with the cloud server for communication, the mobile terminal is connected with the acquisition module, the acquisition module is used for acquiring real-time position information of the mobile terminal, and the acquisition module transmits the position information to the processing module for processing after acquiring the real-time position information of the mobile terminal.

Specifically, the processing module is further configured to, when it is determined whether the mobile terminal is located in the preset position, obtain a water usage time node at the moment when the mobile terminal is located in the preset position, determine whether the water usage time node is located in a historical water usage period of the user, and if the water usage time node is located in the historical water usage period of the user, continue to detect the flow information; if not, sending water use abnormity alarm information to the mobile terminal;

when the mobile terminal is not in the preset position, abnormal water use alarm information is directly sent to the mobile terminal, and when the mobile terminal feeds back an abnormal water use instruction, the intelligent water meter stops supplying water; when the mobile terminal feeds back a normal water use instruction, the intelligent water meter continues to supply water, the real-time water use amount in the water use time period is obtained, the real-time water use amount is compared with the historical water use amount in the historical water use time period, when the real-time water use amount is less than or equal to the historical water use amount, the water continues to be supplied, and when the real-time water use amount is greater than the historical water use amount, the flow of the intelligent water meter is reduced.

Specifically, when the processing module judges whether the mobile terminal is located in the preset position, the acquisition module compares the position information of the mobile terminal of the user with the home position of the user after acquiring the position information of the mobile terminal of the user, so as to judge whether the position of the mobile terminal is located in the home position range of the user.

Specifically, when the position of the mobile terminal is judged to be within the home position range of the user, the processing module acquires the water consumption time point at the moment, judges whether the water consumption time node is within the historical water consumption time period of the user, namely judges whether the water consumption time point at the moment is within the historical water consumption time period, if so, the processing module continues to detect flow information, and after the water consumption of the user is finished, the processing module sends the water consumption cost information of the time period to the mobile terminal; if not, sending abnormal water consumption alarm information to the mobile terminal, judging whether to continue water supply according to the instruction of the user, enabling the intelligent water meter to continue water supply when the mobile terminal feeds back a normal water consumption instruction, and enabling the intelligent water meter to stop water supply when the mobile terminal feeds back an abnormal water consumption instruction.

Specifically, when the processing module judges that the mobile terminal is not in the preset position, namely when the position of the mobile terminal is not in the range of the home position of the user, the processing module directly sends water use abnormity alarm information to the mobile terminal, judges whether to continue water supply according to the instruction of the user, and stops the intelligent water meter from supplying water when the mobile terminal feeds back an abnormal water use instruction; when the mobile terminal feeds back a normal water use instruction, the intelligent water meter is enabled to continue to supply water, the real-time water consumption in the water use time period is obtained, and the real-time water consumption is compared with the historical water consumption in the historical water use time period, namely, when the intelligent water meter continues to supply water, the real-time water consumption is obtained, the real-time water consumption is compared with the historical water consumption data of a user, and the flow size during water supply is controlled according to the comparison result. When the real-time water consumption is less than or equal to the historical water consumption, the water is continuously supplied at the current flow, and when the real-time water consumption is more than the historical water consumption, the flow of the intelligent water meter is reduced.

Specifically, the intelligent water meter performs control according to the control instruction output by the processing module when performing water supply control. The processing module can output a continuous water supply instruction, a water supply disconnection instruction and a flow adjustment instruction, and the intelligent water meter can respond to and execute the continuous water supply instruction, the water supply disconnection instruction and the flow adjustment instruction.

Specifically, the cloud server further comprises a data flow detection module, the data flow detection module is in communication connection with the processing module, meanwhile, the data flow detection module is in communication connection with a router in a user home, and the data flow detection module is used for detecting data flow of the router and acquiring real-time data flow delta Q of the router in real time.

Specifically, the data flow detection module is connected and communicated with the processing module so as to transmit the flow data collected by the data flow detection module into the processing module for processing.

Specifically, the processing module is further configured to, when it is determined that the mobile terminal is not located in the preset position and before the water consumption abnormality alarm information is sent to the mobile terminal, first determine whether the real-time data flow Δ Q is greater than or equal to a preset standard data flow Q0, and when the real-time data flow Δ Q is greater than or equal to a preset standard data flow Q0, send the water consumption abnormality alarm information to the mobile terminal, so that the intelligent water meter continues to supply water; and when the real-time data flow delta Q is smaller than the preset standard data flow Q0, sending water use abnormity alarm information to the mobile terminal.

Specifically, after a router in a user home is connected with an internet access terminal and traffic data is generated, the generated data traffic is transmitted to a data traffic detection module in real time, the data traffic detection module transmits the data traffic value to a processing module in real time for processing after acquiring the data traffic value uploaded by the router, and the processing module generates real-time data traffic Δ Q according to the data traffic value.

Specifically, the processing module is further configured to select a preset water supply flow as the flow of the intelligent water meter during water supply according to a relationship between the real-time data flow Δ Q and each preset data flow when the real-time data flow Δ Q is greater than or equal to the preset standard data flow Q0.

Specifically, the processing module is further configured to, when the real-time data flow Δ Q is greater than or equal to a preset standard data flow Q0, set a first preset water supply flow S1, a second preset water supply flow S2, a third preset water supply flow S3, a fourth preset water supply flow S4, and S1 < S2 < S3 < S4, further set a first preset data flow Q1, a second preset data flow Q2, a third preset data flow Q3, and a fourth preset data flow Q4, and Q0 < Q1 < Q2 < Q3 < Q4, and select each preset water supply flow as the flow when the intelligent water meter supplies water according to a relationship between the real-time data flow Δ Q and each preset data flow:

Specifically, the processing module is further configured to, after setting the flow rate of the intelligent water meter during water supply, obtain a real-time client access amount Δ a of the access router, and select a preset water supply flow correction coefficient according to a relationship between the real-time client access amount Δ a and each preset client access amount, so as to correct the set flow rate of the intelligent water meter.

Specifically, the processing module is further configured to obtain a real-time client access amount Δ a of the access router after setting a flow rate of the intelligent water meter during water supply, set a first preset client access amount a1, a second preset client access amount a2, a third preset client access amount A3 and a fourth preset client access amount a4, where a1 is greater than a2 and greater than A3 and less than a4, set a first preset water supply flow correction coefficient a1, a second preset water supply flow correction coefficient a2, a third preset water supply flow correction coefficient A3 and a fourth preset water supply flow correction coefficient a4, and 1 < a1 < a2 < A3 < a 4; selecting a preset water supply flow correction coefficient according to the relation between the real-time client access amount delta A and each preset client access amount so as to correct the water supply flow after setting the flow when the intelligent water meter supplies water as the ith preset water supply flow Si, wherein i is 1, 2, 3, 4:

Specifically, the alarm grade is set according to the number of the electric appliances in the set operation, so that the alarm grade is accurately set, and the alarm accuracy is improved.

Combine fig. 3 to show, specifically speaking, install humidity detecting element in the user family, and humidity detecting element and family internet of things connection communication, detect the humidity information in the user family through humidity detecting element, the family internet of things uploads the humidity information who obtains to the cloud ware in, through collection module and humidity detecting element connection communication to gather the humidity information in the user family, and, collection module handles the humidity information transmission who gathers to processing module. The humidity sensing unit is preferably provided in a kitchen or a toilet of a user's home. The humidity detection unit is preferably a humidity sensor.

Specifically, the processing module is further configured to, when it is determined that the mobile terminal is not located in the preset position, before the abnormal water consumption alarm information is sent to the mobile terminal, acquire humidity information in the home of the user acquired in the internet of things of the home through the acquisition module, transmit the humidity information uploaded by the internet of things of the home to the processing module by the acquisition module, so that the processing module acquires real-time humidity information Δ E in the user room, and the processing module is further configured with a first preset humidity E1, a second preset humidity E2, a third preset humidity E3 and a fourth preset humidity E4, and E1 < E2 < E3 < E4, and set an alarm level according to a relationship between the real-time humidity information Δ E and each preset humidity:

Specifically, after the processing module sets the alarm level, the acquisition module acquires the running electric appliances in the user room acquired from the family internet of things, namely, the family internet of things uploads the running electric appliance information to the acquisition module, the acquisition module transmits the running electric appliance information uploaded by the family internet of things to the processing module, and the processing module extracts the quantity information of the running electric appliances from the running electric appliance information and records the quantity information as the quantity delta M of the running electric appliances. The household Internet of things obtains household appliances running in a user room, such as a water heater, an induction cooker, a television, a treadmill and the like.

Specifically, the processing module is further configured to, after the alarm level is set, obtain the number Δ M of currently-operating electrical appliances in the user room, set a first preset number M1 of electrical appliances in operation, a second preset number M2 of electrical appliances in operation, a third preset number M3 of electrical appliances in operation, and a fourth preset number M4 of electrical appliances in operation, where M1 is greater than M2 and greater than M3 is greater than M4, and adjust the set alarm level according to a relationship between the number Δ M of currently-operating electrical appliances and each preset number of electrical appliances in operation:

when M1 is more than or equal to delta M is more than or equal to M2, the low alarm level and the middle alarm level are adjusted to be high alarm levels, and the flow of the intelligent water meter is reduced

It can be seen that above-mentioned embodiment carries out communication connection through cloud ware and intelligent water gauge, in order to monitor the flow of intelligent water gauge, through the position that acquires user's mobile terminal, thereby judge user's position, and monitor the water flow condition in the user family according to user's position, and according to the historical water condition, in order to judge whether the condition of leaking appears in the user family, thereby can be timely report to the police and timely pipeline that cuts off to the user, thereby can leak detection and warning to the user family effectively, in order to reduce the loss that leaks and bring for the user, avoid the waste of water resource.

Further, when judging whether the mobile terminal is in the preset position or not, when the mobile terminal is in the preset position, acquiring a water consumption time node at the moment, judging whether the water consumption time node is in a historical water consumption time period of the user or not, and if so, continuously detecting flow information; if not, sending water use abnormity alarm information to the mobile terminal; when mobile terminal is not in the preset position, directly send the unusual alarm information of water use to mobile terminal, when mobile terminal feedback improper water instruction, make intelligent water gauge stop supplying water, carry out the judgement of the condition of leaking through above-mentioned process, not only can improve the accuracy of judged result, can also improve judgement efficiency effectively.

As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

Finally, it should be noted that: the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims.

Claims

1. A data acquisition, monitoring, early warning and maintenance method for an intelligent water pipe network is characterized by comprising the following steps:

in the step c, when judging whether the mobile terminal is in a preset position or not, and when the mobile terminal is in the preset position, acquiring a water using time node at the moment, judging whether the water using time node is in a historical water using time period of the user or not, and if so, continuously detecting flow information; if not, sending abnormal water consumption alarm information to the mobile terminal;

2. The method for data acquisition, monitoring, early warning and maintenance of the intelligent water service pipe network according to claim 1, wherein the cloud server is in communication connection with a router in the home of the user, monitors the data flow of the router, and acquires the real-time data flow delta Q of the router in real time;

3. The method as claimed in claim 2, wherein when the real-time data flow Δ Q is greater than or equal to a predetermined standard data flow Q0, a predetermined water supply flow is selected as the flow of the intelligent water meter during water supply according to the relationship between the real-time data flow Δ Q and the predetermined data flows.

4. The method for data collection, monitoring, early warning and maintenance of the intelligent water pipe network according to claim 3, wherein after the flow rate of the intelligent water meter during water supply is set, a real-time client access amount Δ A of the router is obtained, and a preset water supply flow correction coefficient is selected according to the relationship between the real-time client access amount Δ A and the preset client access amounts to correct the set flow rate of the intelligent water meter.

5. The method according to claim 2, wherein in the step c, when it is determined that the mobile terminal is not located in a preset position, and before the abnormal water consumption alarm information is sent to the mobile terminal, real-time humidity information Δ E in the user room is collected, and a first preset humidity E1, a second preset humidity E2, a third preset humidity E3 and a fourth preset humidity E4 are set, and E1 < E2 < E3 < E4, and an alarm level is set according to a relationship between the real-time humidity information Δ E and each of the preset humidities:

6. The method for data collection, monitoring, early warning and maintenance of the intelligent water service pipe network according to claim 5, wherein after the warning level is set, the number Δ M of the running electrical appliances in the user room is obtained, the first preset running electrical appliance number M1, the second preset running electrical appliance number M2, the third preset running electrical appliance number M3 and the fourth preset running electrical appliance number M4 are set, and M1 < M2 < M3 < M4, and the set warning level is adjusted according to the relationship between the running electrical appliance number Δ M and each preset running electrical appliance number:

7. The utility model provides a data acquisition monitoring early warning maintenance system of wisdom water utilities pipe network which characterized in that includes: the system comprises a cloud server and an intelligent water meter, wherein the cloud server is used for acquiring the position information of a mobile terminal of a user, and the water fee payment record and the historical water consumption time period data of the user; the cloud server is in communication connection with the intelligent water meter; wherein the content of the first and second substances,

8. The system for data acquisition, monitoring, early warning and maintenance of the intelligent water pipe network according to claim 7, wherein the cloud server comprises a data traffic detection module, the data traffic detection module is in communication connection with a router in the home of the user, and the data traffic detection module is configured to perform data traffic detection on the router and obtain real-time data traffic Δ Q of the router in real time;

9. The system of claim 8, wherein the processing module is further configured to select a preset water supply flow as the flow of the intelligent water meter during water supply according to a relationship between the real-time data flow Δ Q and each preset data flow when the real-time data flow Δ Q is greater than or equal to a preset standard data flow Q0.

10. The method as claimed in claim 8, wherein the processing module is further configured to obtain a real-time client access amount Δ a of the router after setting the flow rate of the intelligent water meter during water supply, and select a preset water supply flow correction coefficient according to a relationship between the real-time client access amount Δ a and each preset client access amount to correct the set flow rate of the intelligent water meter.