CN114449373A - Wisdom water affairs system based on thing networking wireless transmission - Google Patents
Wisdom water affairs system based on thing networking wireless transmission Download PDFInfo
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- G01M3/26—Investigating fluid-tightness of structures by using fluid or vacuum by measuring rate of loss or gain of fluid, e.g. by pressure-responsive devices, by flow detectors
- G01M3/28—Investigating fluid-tightness of structures by using fluid or vacuum by measuring rate of loss or gain of fluid, e.g. by pressure-responsive devices, by flow detectors for pipes, cables or tubes; for pipe joints or seals; for valves ; for welds
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- G01M3/2815—Investigating fluid-tightness of structures by using fluid or vacuum by measuring rate of loss or gain of fluid, e.g. by pressure-responsive devices, by flow detectors for pipes, cables or tubes; for pipe joints or seals; for valves ; for welds for pipes using pressure measurements
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Abstract
The invention belongs to the technical field of water affair management, and discloses an intelligent water affair system based on Internet of things wireless transmission, which comprises a data acquisition layer, a data management layer and a comprehensive application layer, wherein the data acquisition layer comprises but not limited to an intelligent water meter, an intelligent pressure sensor, an intelligent water quality detector and an intelligent liquid level sensor and is used for acquiring water supply related data, the data acquisition layer also comprises an Internet of things acquisition terminal connected with the intelligent acquisition equipment, the Internet of things acquisition terminal is used for collecting the water supply related data from the intelligent acquisition equipment and transmitting the water supply related data to the data management layer in a wireless communication mode, the data management layer comprises a server which is used for analyzing and processing the water supply related data from the Internet of things acquisition terminal and simultaneously providing various application services for the comprehensive application layer upwards, the comprehensive application layer comprises a computer and mobile equipment, and the position of the water leakage node can be estimated based on the night water consumption of the water supply network.
Description
Technical Field
The invention belongs to the technical field of water affair management, and particularly relates to an intelligent water affair system based on wireless transmission of the Internet of things.
Background
With the increasingly mature development of the intelligent instrument industry and the internet of things wireless transmission technology, intelligent equipment such as internet of things water meters, internet of things pressure sensors, internet of things water quality detectors and the like are increasingly applied to water supply systems, be used for realizing automatic long-range meter reading, pay for water fee on line, carry out online management to user's information, and carry out functions such as water quality monitoring to the running water, the problem of traditional water affair system need spend a large amount of manpowers to accomplish the relevant information acquisition of water supply has been solved, however the state information of the water supply network between water supply end to the water end is paid attention to less to the water affair system among the prior art, the problem that water supply pipe leaks can exist in the water supply network of long-time use, water affair system among the prior art need rely on extra instrument and equipment usually just can accomplish the detection of leaking to water supply pipe, cause water affair system among the prior art to have spent more time cost and financial cost.
Disclosure of Invention
Aiming at the technical problems, the invention provides an intelligent water service system based on wireless transmission of the Internet of things, aiming at realizing the functions of remote meter reading, water prepayment management, online management of related water supply information and the like through the intelligent water service system, and meanwhile, the intelligent water service system can also finish the estimation of the position of a water leakage node in a water supply network based on the information such as the water consumption of the water supply network at night.
In order to achieve the above purpose, an intelligent water affair system based on internet of things wireless transmission is provided as follows:
the intelligent water affair system comprises a data acquisition layer, a data management layer and a comprehensive application layer, wherein the data acquisition layer comprises but is not limited to an intelligent water meter, an intelligent pressure sensor and an intelligent water quality detector, and an intelligent liquid level sensor for collecting water supply related data, the data collection layer further comprises an internet of things collection terminal connected with the above-described various intelligent collection devices, the internet of things collection terminal collects water supply related data from the intelligent collection devices, and transmits the water supply related data to the data management layer in a wireless communication mode, the data management layer comprises a server used for analyzing and processing the water supply related data from the Internet of things acquisition terminal, meanwhile, various application services are provided for the comprehensive application layer upwards, and the comprehensive application layer comprises a computer and mobile equipment;
the application service about the water leakage point detection of the water supply pipe network that the comprehensive application layer of wisdom water affairs system provided specifically includes the following step:
step one, respectively counting a plurality of continuous night water consumption and pressure values corresponding to the water consumption based on an intelligent water meter at a water supply end of a water supply network and an intelligent pressure sensor at a water supply network terminal, and further acquiring the integral water leakage in the water supply network;
step two, respectively setting water demand for each node of the water supply network according to the historical water consumption counted by the intelligent water meters on each node of the water supply network;
step three, distributing the integral water leakage amount of the water supply pipe network obtained in the step one to each node of the water supply pipe network according to different priorities of each node;
step four, respectively calculating pressure estimated values on each node of the water supply network;
step five, respectively acquiring actual pressure values at all nodes of the water supply network through intelligent pressure sensors arranged at all nodes of the water supply network, and calculating the mean square error of the actual pressure values and the pressure estimation values by combining the pressure estimation values of all nodes of the water supply network obtained in the step four;
step six, judging whether the execution times of the step exceeds the preset execution time threshold of the system or whether the mean square error obtained in the step five is smaller than the preset mean square error threshold of the system, determining the water leakage amount on each node of the water supply network corresponding to the minimum mean square error, and if not, returning to the step three to continue execution;
and seventhly, estimating the position of the node of the water supply network where internal leakage loss is possible according to the water leakage amount on each node of the water supply network determined in the sixth step.
Compared with the prior art, the invention has the following beneficial effects:
1. the invention relates to an intelligent water affair system based on wireless transmission of the Internet of things, which comprises a data acquisition layer and a data management layer, and a comprehensive application layer, wherein the data acquisition layer comprises but is not limited to an intelligent water meter, an intelligent pressure sensor, an intelligent water quality detector and an intelligent liquid level sensor and is used for acquiring water supply related data, the data acquisition layer also comprises an internet of things acquisition terminal connected with the above-described various intelligent acquisition devices, the internet of things acquisition terminal is used for collecting water supply related data from the intelligent acquisition devices, and transmits the water supply related data to the data management layer in a wireless communication mode, the data management layer comprises a server used for analyzing and processing the water supply related data from the Internet of things acquisition terminal, meanwhile, various application services are provided for a comprehensive application layer upwards, and the comprehensive application layer comprises a computer and mobile equipment;
2. the intelligent water service system solves the problem that the water service system in the prior art usually needs additional instruments and equipment to complete water leakage detection of the water supply pipeline, so that the water service system in the prior art costs more time cost and financial cost.
Drawings
FIG. 1 is a flow chart of the steps involved in performing a water leak node detection for a water supply network according to the present invention;
FIG. 2 is a flow chart illustrating the steps of obtaining the total water leakage in the water supply network according to the present invention;
FIG. 3 is a flow chart of the steps of the present invention for distributing the overall leakage of water from a water supply network to the nodes of different water supply networks;
FIG. 4 is a flow chart of the steps for calculating pressure estimates for different water supply network nodes, respectively, in accordance with the present invention;
fig. 5 is a structural diagram of the intelligent water service system based on wireless transmission of the internet of things according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
It will be understood that, as used herein, the terms "first," "second," and the like may be used herein to describe various elements, but these elements are not limited by these terms unless otherwise specified. These terms are only used to distinguish one element from another. For example, a first xx script may be referred to as a second xx script, and similarly, a second xx script may be referred to as a first xx script, without departing from the scope of the present application.
Referring to fig. 5, the present invention provides an intelligent water service system based on wireless transmission of internet of things, including:
data acquisition layer, data management layer to and synthesize the application layer, the data acquisition layer includes but not limited to intelligent water gauge, intelligent pressure sensor, intelligent water quality detector to and intelligent level sensor, is used for gathering the relevant data of water supply, the data acquisition layer still includes the thing networking collection terminal that is connected with the multiple intelligent acquisition equipment of above-mentioned description, thing networking collection terminal collects the relevant data of water supply that comes from intelligent acquisition equipment to with the relevant data transmission of water supply extremely through wireless communication's mode data management layer, the data management layer includes the server, is used for carrying out analysis processes to the relevant data of water supply that comes from thing networking collection terminal, and the while still upwards does synthesize the application layer and provide various application services, synthesize the application layer and include computer and mobile device.
Further, the application services provided by the comprehensive application layer of the intelligent water service system of the present invention include, but are not limited to: the remote wireless meter reading is realized, the water consumption of a user is automatically counted, the water consumption information is pushed to the user, and the prepayment management of water is realized; binding the user information with the intelligent water meter information, and uniformly bringing the user information and the intelligent water meter information into online management; providing a function of generating a statistical form on the system data; continuously monitoring the water quantity of the water supply end, and timely alarming when the water quantity is lower than a threshold value; the on-line management and analysis are performed for the water supply network information including the flow, water quality, water pressure, and pipeline wiring of the water supply network, and the position of the water leakage point of the water supply network can be accurately inferred.
Specifically, in the embodiment, the detailed description is mainly given to the specific steps and processes of the intelligent water service system for estimating the water leakage node in the water supply network according to the night water consumption of the water supply network.
Further, referring to fig. 1, the application service provided by the integrated application layer of the intelligent water service system of the present invention for detecting the water leakage point of the water supply pipe network specifically includes the following steps:
step one, respectively counting a plurality of continuous night water consumption and pressure values corresponding to the water consumption based on an intelligent water meter at a water supply end of a water supply network and an intelligent pressure sensor at a water supply network terminal, and further acquiring the integral water leakage amount in the water supply network.
And step two, respectively setting water demand for each node of the water supply network according to the historical water consumption counted by the intelligent water meters on each node of the water supply network.
And step three, distributing the integral water leakage amount of the water supply pipe network obtained in the step one to each node of the water supply pipe network according to different priorities of each node.
And step four, respectively calculating pressure estimated values on each node of the water supply network.
And step five, respectively acquiring actual pressure values on all nodes of the water supply network through intelligent pressure sensors arranged on all nodes of the water supply network, and calculating the mean square error of the actual pressure values and the pressure estimated values by combining the pressure estimated values of all nodes of the water supply network obtained in the step four.
And step six, judging whether the execution times of the step three exceed the preset execution time threshold of the system or whether the mean square error obtained in the step five is smaller than the preset mean square error threshold of the system, determining the water leakage amount on each node of the water supply network corresponding to the minimum mean square error, and otherwise, returning to the step three to continue execution.
And seventhly, estimating the position of the node of the water supply network where internal leakage loss is possible according to the water leakage amount on each node of the water supply network determined in the sixth step.
Specifically, in the above-described procedure, first, the entire amount of water leakage in the water supply pipe network is obtained by analysis based on data of a plurality of kinds of intelligent collection devices provided in the water supply pipe network, then, the water demand is set for each node of the water supply pipe network, and the entire amount of water leakage in the water supply pipe network is distributed to each node of the water supply pipe network, second, the pressure estimation value at each node of the water supply pipe network is calculated in consideration of the length of the water supply pipe from the water supply end of the water supply pipe network to the different water supply pipe network nodes, the friction coefficient, the inner diameter, and the flow rate in the water supply pipe at the water supply pipe network node, and then, the amount of water leakage at each node of the water supply pipe network is finally determined by judging the relationship between the number of execution of the step and the execution number threshold value, and the relationship between the mean square error and the mean square error threshold value of the actual pressure value at the water supply pipe network node, finally, the position of the node of the water supply network where internal leakage loss may occur is estimated, and by the method, the intelligent water service system of the invention can estimate the position of the water leakage node in the water supply network based on the night water consumption of the water supply network without using additional water leakage detection tools and systems and spending additional labor cost, wherein the specific process of each execution step of the method will be described in detail in the following content.
Further, referring to fig. 2, the step one of acquiring the total water leakage amount in the water supply pipe network specifically includes the following steps:
the intelligent water meter of the water supply end of the water supply network and the intelligent pressure sensor of the water supply network terminal are used for respectively counting the water consumption at a plurality of continuous nights and respectively obtaining the pressure values corresponding to the water consumption.
And secondly, selecting the minimum water consumption from a plurality of water consumption corresponding to the same pressure value, and taking the minimum water consumption as the integral water leakage of the water supply pipe network.
And thirdly, obtaining the relation between the pressure value and the integral water leakage amount in the water supply pipe network corresponding to the different pressure values by a method of generating a fitting curve according to the different pressure values and the integral water leakage amount in the water supply pipe network corresponding to the pressure values respectively.
Specifically, considering that the water consumption of the water supply network is usually much less at night than that at daytime, the water consumption at night is more convenient for analyzing the whole water leakage of the water supply network, and considering that the whole water leakage of the water supply network is also related to the pressure value in the water supply pipeline, therefore, in the first step, a plurality of water consumptions of the water supply network at a plurality of continuous nights and pressure values respectively corresponding to the water consumptions are firstly obtained, and also considering that the water demand still exists even at night, that is, the obtained nights water consumption may include the water leakage and the actual nights water consumption, therefore, in the second step, for a plurality of water consumptions corresponding to the same pressure value of the water supply pipeline, the minimum water consumption is selected as the whole water leakage in the water supply network, so that the estimation error of the water leakage is relatively small, and then the relationship between the pressure value of the water supply pipeline and the overall water leakage amount in the water supply pipeline network corresponding to different pressure values is obtained in the third step.
Further, in the second step, according to the historical water consumption counted by the intelligent water meters on each node of the water supply network, the water consumption demand is set for each node of the water supply network, for example, by obtaining the water consumption of each node of the water supply network in several past days, the water consumption does not include the water leakage of the node, and the average value of the water consumption of each node in several past days is used as the water consumption demand, and the water consumption demands of different water supply network nodes are used for calculating the pressure estimation values on different water supply network nodes together with the water leakage of the corresponding water supply network node.
Further, referring to fig. 3, in the above step three, the total water leakage of the water supply network is distributed to the nodes of different water supply networks, and the process specifically includes the following steps:
firstly, evenly distributing the integral water leakage amount of the water supply network to nodes of different water supply networks respectively.
And secondly, setting different priorities for different nodes of the water supply network respectively, wherein the longer the service time of the nodes of the water supply network is, the higher the priority corresponding to the nodes of the water supply network is.
And thirdly, respectively correcting the water leakage amount averagely distributed to the water supply network nodes according to the difference of the priority of each water supply network node, wherein the higher the priority of the water supply network node is, the more the corresponding water leakage amount is.
In particular, in step three, considering that the water leakage amount on each node of the water supply network is closely related to the used time of the node of the water supply network, the longer the service life of the water supply network node is, the greater the possibility of water leakage of the water supply network node is, the more the corresponding water leakage amount is, when the service time of the water supply network node is relatively short, the possibility of water leakage of the water supply network node is relatively low, the corresponding water leakage amount is relatively small, for example, when the water supply network node is newly built, the water leakage amount on the water supply network node is considered to be 0, the third step sets priority for the water supply network node based on the service time of the water supply network node, and finally, the integral water leakage amount of the water supply network is respectively distributed to nodes of different water supply networks, and the water leakage amount of the nodes of the different water supply networks and the water consumption demand of the corresponding nodes of the water supply networks work out pressure estimation values of the nodes of the different water supply networks.
Further, referring to fig. 4, the fourth step of calculating the pressure estimation values of different water supply network nodes includes the following steps:
the method comprises the following steps that firstly, a pressure value of a water supply end of a water supply pipe network is obtained through an intelligent pressure sensor arranged on the water supply end of the water supply pipe network.
Secondly, calculating a pressure value delta P lost from a water supply end of the water supply network to a node of a different water supply network by using a pressure loss calculation formula, wherein the pressure loss calculation formula is described as follows:
ΔP＝10.67*L*C-1.85*D-4.87*Q1.85wherein, L is the length of the water supply pipeline from the water supply end of the water supply pipeline to different water supply pipeline nodes, C is the friction coefficient of the water supply pipeline, D is the internal diameter of the water supply pipeline, and Q is the flow in the water supply pipeline.
And thirdly, subtracting the lost pressure value delta P from the pressure value of the water supply end of the water supply network, thereby obtaining pressure estimated values on different water supply network nodes.
Further, the specific value of the flow Q in the water supply pipeline is the sum of the water demand of the water supply network node and the water leakage of the water supply network node.
Specifically, in the fourth step, based on the pressure value of the water supply end of the water supply network, a pressure loss calculation formula is used, so that a pressure estimation value on each node of the water supply network is finally obtained, the pressure estimation value is used for calculating a mean square error between the pressure estimation value and an actual pressure value of the node of the water supply network in the subsequent step, and on the basis that the overall water leakage amount of the water supply network is respectively distributed to different nodes of the water supply network in the above steps, the smaller the mean square error is, the smaller the error value of the water leakage amount distributed to the nodes of the water supply network is, namely the closer the water leakage amount on the nodes of the water supply network is to the actual water leakage condition, so that the water leakage amount on each node of the water supply network can be finally determined.
Furthermore, according to the determined water leakage amount of each node of the water supply network in the seventh step, when the water leakage amount of the node of the water supply network is greater than the preset water leakage amount threshold value of the system, the system conjectures that the node of the water supply network is likely to have internal leakage loss, and sends a water leakage reminding message containing the position information of the node of the water supply network through the comprehensive application layer.
It should be understood that, although the steps in the flowcharts of the embodiments of the present invention are shown in sequence as indicated by the arrows, the steps are not necessarily performed in sequence as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a portion of the steps in various embodiments may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a non-volatile computer-readable storage medium, and can include the processes of the embodiments of the methods described above when the program is executed. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included therein.
Claims (7)
1. The utility model provides an wisdom water affairs system based on thing networking wireless transmission which characterized in that:
the intelligent water affair system comprises a data acquisition layer, a data management layer and a comprehensive application layer, wherein the data acquisition layer comprises but is not limited to an intelligent water meter, an intelligent pressure sensor and an intelligent water quality detector, and an intelligent liquid level sensor for collecting water supply related data, the data collection layer further comprises an internet of things collection terminal connected with the above-described various intelligent collection devices, the internet of things collection terminal collects water supply related data from the intelligent collection devices, and transmits the water supply related data to the data management layer in a wireless communication mode, the data management layer comprises a server used for analyzing and processing the water supply related data from the Internet of things acquisition terminal, meanwhile, various application services are provided for the comprehensive application layer upwards, and the comprehensive application layer comprises a computer and mobile equipment;
the application service about the water leakage point detection of the water supply pipe network that the comprehensive application layer of wisdom water affairs system provided specifically includes the following step:
s1, respectively counting a plurality of continuous nighttime water consumption values and pressure values corresponding to the water consumption values based on the intelligent water meter at the water supply end of the water supply network and the intelligent pressure sensor at the water supply network terminal, and further acquiring the integral water leakage amount in the water supply network;
s2, respectively setting water demand for each node of the water supply network according to the historical water consumption counted by the intelligent water meters on each node of the water supply network;
s3, distributing the integral water leakage amount of the water supply pipe network obtained in the S1 to each node of the water supply pipe network according to different priorities of the nodes;
s4, calculating pressure estimated values on each node of the water supply network respectively;
s5, respectively acquiring actual pressure values on each node through the intelligent pressure sensors arranged on each node of the water supply network, and calculating the mean square error of the actual pressure values and the pressure estimated values by combining the pressure estimated values of each node of the water supply network obtained in S4;
s6, judging whether the execution times of the step exceeds the preset execution times threshold of the system or whether the mean square error obtained in the step S5 is smaller than the preset mean square error threshold of the system, determining the water leakage amount on each node of the water supply network corresponding to the minimum mean square error, and if not, returning to the step S3 to continue execution;
and S7, estimating the position of the node of the water supply network where the internal leakage loss can occur according to the water leakage amount on each node of the water supply network determined in S6.
2. The intelligent water affair system based on wireless transmission of the internet of things as claimed in claim 1, wherein application services provided by the comprehensive application layer of the intelligent water affair system include but are not limited to: the remote wireless meter reading is realized, the water consumption of a user is automatically counted, the water consumption information is pushed to the user, and the prepayment management of water is realized; binding the user information with the intelligent water meter information, and uniformly bringing the user information and the intelligent water meter information into online management; providing a function of generating a statistical form on the system data; continuously monitoring the water quantity of the water supply end, and timely alarming when the water quantity is lower than a threshold value; the online management and analysis are performed on the water supply network information including the flow, water quality, water pressure and pipeline wiring of the water supply network, and the position of the water leakage point of the water supply network can be accurately inferred.
3. The intelligent water service system based on internet of things wireless transmission according to claim 1, wherein the step of obtaining the total water leakage amount in the water supply pipe network in S1 specifically comprises the following steps:
s11, acquiring an intelligent water meter at the water supply end of the water supply network and intelligent pressure sensors at the water supply network terminals, and respectively counting a plurality of continuous nighttime water consumption and pressure values corresponding to the water consumption;
s12, selecting the minimum water consumption for a plurality of water consumption corresponding to the same pressure value, and taking the minimum water consumption as the integral water leakage in the water supply pipe network;
and S13, obtaining the relation between the pressure value and the whole water leakage amount in the water supply pipe network corresponding to the different pressure values by a method of generating a fitting curve according to the different pressure values and the whole water leakage amount in the water supply pipe network corresponding to the pressure values respectively.
4. The intelligent water service system based on wireless transmission of the internet of things as claimed in claim 1, wherein the water leakage of the water supply network is distributed to different nodes of the water supply network in S3, and the process comprises the following steps:
s31, evenly distributing the overall water leakage amount of the water supply network to nodes of different water supply networks respectively;
s32, setting different priorities for different nodes of the water supply network respectively, wherein the longer the service time of the nodes of the water supply network is, the higher the priority corresponding to the nodes of the water supply network is;
and S33, respectively correcting the water leakage amount averagely distributed to the water supply network nodes according to different priorities of the water supply network nodes, wherein the higher the priority of the water supply network node is, the more the corresponding water leakage amount is.
5. The intelligent water service system based on wireless transmission of the internet of things according to claim 1, wherein the pressure estimation values of different water supply network nodes are calculated in S4, respectively, and the method comprises the following steps:
s41, obtaining a pressure value of the water supply end of the water supply network through an intelligent pressure sensor arranged on the water supply end of the water supply network;
s42, calculating a pressure value Δ P lost from a water supply end of the water supply network to a node of a different water supply network using a pressure loss calculation formula, which is described as:
ΔP＝10.67*L*C-1.85*D-4.87*Q1.85wherein L is the length of a water supply pipeline from a water supply end of the water supply pipeline network to different water supply pipeline network nodes, C is the friction coefficient of the water supply pipeline, D is the inner diameter of the water supply pipeline, and Q is the flow in the water supply pipeline;
s43, subtracting the lost pressure value Δ P from the pressure value at the water supply end of the water supply network, thereby obtaining pressure estimates at different nodes of the water supply network.
6. The intelligent water service system based on wireless transmission of the internet of things according to claim 5, wherein the specific value of the flow Q in the water supply pipeline is the sum of the water demand of the water supply network node and the water leakage of the water supply network node.
7. The intelligent water service system based on wireless transmission of the internet of things as claimed in claim 1, wherein S7 is configured to determine water leakage at each node of the water supply network, and when the water leakage at the water supply network node is greater than a preset water leakage threshold, the system estimates that internal leakage loss may occur at the water supply network node, and sends a water leakage reminding message including position information of the water supply network node through the integrated application layer.
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