CN114449373B - Intelligent water service system based on wireless transmission of Internet of things - Google Patents
Intelligent water service system based on wireless transmission of Internet of things 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
- G01M3/2807—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
- 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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- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
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Abstract
The invention belongs to the technical field of water management, and discloses an intelligent water service system based on wireless transmission of an Internet of things, which 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, 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 various intelligent acquisition devices, the Internet of things acquisition terminal is used for collecting the water supply related data from the intelligent acquisition devices and transmitting the water supply related data to the data management layer in a wireless communication mode, the data management layer comprises a server and 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, and the comprehensive application layer comprises a computer and mobile equipment.
Description
Technical Field
The invention belongs to the technical field of water management, and particularly relates to an intelligent water service system based on wireless transmission of the Internet of things.
Background
With the increasingly mature development of intelligent instrument industry and internet of things wireless transmission technology, intelligent devices such as internet of things water meter, internet of things pressure sensor and internet of things water quality detector are increasingly applied to water supply systems, and are used for achieving functions of automatic remote meter reading, online water payment, online management of user information, water quality monitoring of tap water and the like, the problem that a traditional water service system needs to spend a large amount of manpower to finish water supply related information acquisition is solved, however, the water service system in the prior art is less concerned with state information of a water supply network from a water supply end to a water use end, the problem that water supply pipelines leak water can exist in the water supply network used for a long time, the water service system in the prior art usually needs to rely on additional instrument equipment to finish water leakage detection of the water supply pipelines, and the water service system in the prior art is caused to spend 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, which aims to realize functions of remote meter reading, water prepayment management, on-line management of water supply related information and the like through the intelligent water service system, and simultaneously can complete the estimation of the position of a water leakage node in a water supply pipe network based on the information of water consumption and the like of the water supply pipe network at night.
In order to achieve the above purpose, an intelligent water service system based on wireless transmission of the internet of things is provided as follows:
the intelligent water service 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, 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 various intelligent acquisition devices, the Internet of things acquisition terminal is used for collecting the water supply related data from the intelligent acquisition devices and transmitting the water supply related data to the data management layer in a wireless communication mode, the data management layer comprises a server and is used for analyzing and processing the water supply related data from the Internet of things acquisition terminal and providing various application services for the comprehensive application layer, and the comprehensive application layer comprises a computer and mobile equipment;
the comprehensive application layer of the intelligent water service system provides application services related to water leakage point detection of a water supply network, and specifically comprises the following steps:
step one, calculating water consumption at a plurality of continuous nights 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 respectively, and pressure values corresponding to the water consumption respectively, so as to obtain the integral water leakage amount in the water supply network;
step two, setting water demand for each node of the water supply network according to historical water consumption counted by the intelligent water meters on each node of the water supply network;
step three, distributing the overall water leakage amount of the water supply network obtained in the step one to each node according to different priorities of the nodes of the water supply network;
step four, respectively calculating pressure estimated values of all nodes of the water supply network;
step five, respectively obtaining actual pressure values on all nodes 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;
step six, judging that if the execution times of the step exceed the preset execution times threshold of the system or 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, otherwise, returning to the step three to continue to execute;
and step seven, according to the water leakage quantity on each node of the water supply network determined in the step six, the position of the node of the water supply network, where internal leakage loss is likely to occur, is estimated.
Compared with the prior art, the invention has the following beneficial effects:
1. the invention relates to an intelligent water service system based on wireless transmission of an Internet of things, which 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, an intelligent water quality detector and an intelligent liquid level sensor and is used for acquiring water supply related data;
2. the intelligent water service system solves the problems that the water service system in the prior art usually needs to rely on additional instruments and equipment to finish water leakage detection on a water supply pipeline, so that the water service system in the prior art spends more time cost and financial cost.
Drawings
FIG. 1 is a flowchart illustrating the steps for detecting a water leakage node of a water supply network according to the present invention;
FIG. 2 is a flowchart showing steps for obtaining the overall water leakage amount in the water supply network according to the present invention;
FIG. 3 is a flow chart of steps for distributing the overall water leakage of a water supply network to nodes of different water supply networks according to the present invention;
FIG. 4 is a flowchart illustrating the steps for calculating pressure estimates for different water supply network nodes, respectively, according to the present invention;
fig. 5 is a composition structural diagram of an intelligent water service system based on wireless transmission of the internet of things.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
It will be understood that the terms "first," "second," and the like, as used herein, may be used 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 element. 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, the intelligent water service system comprising:
the 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, an intelligent water quality detector and an intelligent liquid level sensor and is used for acquiring water supply related data, the data acquisition layer further comprises an Internet of things acquisition terminal connected with the plurality of intelligent acquisition devices, the Internet of things acquisition terminal collects 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 and is used for analyzing and processing the water supply related data from the Internet of things acquisition terminal and providing various application services for the comprehensive application layer, and the comprehensive application layer comprises a computer and mobile equipment.
Further, the application services provided by the comprehensive application layer of the intelligent water service system of the invention include, but are not limited to: remote wireless meter reading is realized, the water consumption of a user is automatically counted, the water consumption cost information is pushed to the user, and the prepayment management of the water consumption is realized; binding the user information and the intelligent water meter information, and integrating the user information and the intelligent water meter information into on-line management; providing a function of generating a statistical report on 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 carried out on the water supply network information including the flow, the water quality, the water pressure and the pipeline wiring of the water supply network, and the position of the water leakage point of the water supply network can be accurately estimated.
Specifically, in this embodiment, a detailed description is mainly given to a specific step process of the intelligent water service system for estimating a 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 comprehensive application layer of the intelligent water service system for detecting the water leakage point of the water supply network specifically includes the following steps:
step one, calculating the water consumption at night continuously by an intelligent water meter based on a water supply end of a water supply network and an intelligent pressure sensor of a water supply network terminal respectively, and obtaining the integral water leakage in the water supply network by pressure values corresponding to the water consumption respectively.
And step two, 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 thirdly, distributing the overall water leakage amount of the water supply network obtained in the first step to each node according to different priorities of the nodes of the water supply network.
And step four, respectively calculating pressure estimated values of all nodes of the water supply network.
And fifthly, respectively acquiring actual pressure values of all nodes 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 that if the execution times of the step exceed the preset execution times threshold of the system or 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, otherwise, returning to the step three to continue to execute.
And step seven, according to the water leakage quantity on each node of the water supply network determined in the step six, the position of the node of the water supply network, where internal leakage loss is likely to occur, is estimated.
Specifically, in the above steps, firstly, the overall water leakage amount in the water supply network is obtained by analyzing the data of various intelligent acquisition devices arranged on the water supply network, then, the water leakage amount of each node of the water supply network is respectively set for each node of the water supply network, and the overall water leakage amount in the water supply network is respectively distributed to each node of the water supply network.
Further, referring to fig. 2, the step one of obtaining the overall water leakage amount in the water supply network specifically further includes the following steps:
the method comprises the steps of firstly, acquiring water consumption at night counted by 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 respectively, and respectively corresponding to the water consumption.
And a second step of selecting the smallest water consumption among the water consumption corresponding to the same pressure value and taking the smallest water consumption as the integral water leakage in the water supply 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.
Specifically, considering that the water supply pipe network is usually much smaller than the water consumption during the daytime, the water consumption during the nighttime is more convenient to analyze and obtain the whole water leakage amount of the water supply pipe network, and considering that the whole water leakage amount of the water supply pipe network is also related to the pressure value in the water supply pipe network, the first step firstly obtains a plurality of water consumption of the water supply pipe network during a plurality of nighttime in succession and the pressure values corresponding to the water consumption respectively, and the second step further considers that the water consumption during the nighttime still exists, that is, the obtained water consumption during the nighttime possibly contains the water leakage amount and the actual water consumption during the nighttime, and the second step selects the smallest water consumption among the water consumption as the whole water leakage amount in the water supply pipe network, so that the estimation error of the water leakage amount is relatively smaller, and further obtains the relation between the pressure value of the water supply pipe network and the whole water leakage amount in the water supply pipe network corresponding to different pressure values.
Further, in the step two, according to the historical water consumption counted by the intelligent water meter on each node of the water supply network, the water consumption is set for each node of the water supply network, so as to facilitate understanding of the setting process of the water consumption of the node, for example, the water consumption does not include the water leakage of the node by acquiring the water consumption of each node of the water supply network in the past several days, and the average value of the water consumption of each node in the past several days is used as the water consumption of the node, and the water consumption of the nodes of different water supply networks is used for calculating the pressure estimated values on the nodes of different water supply networks together with the water leakage of the corresponding nodes of the water supply networks.
Further, referring to fig. 3, in the third step, the overall water leakage amount of the water supply network is respectively distributed to the nodes of different water supply networks, and the process specifically further includes the following steps:
and in the first step, the overall water leakage amount of the water supply network is respectively and evenly distributed to the nodes of different water supply networks.
And secondly, setting different priorities for different nodes of the water supply network respectively, wherein the higher the service time of the water supply network node is, the higher the priority corresponding to the water supply network node is.
And thirdly, respectively correcting the water leakage amount evenly distributed on 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 nodes is, the more the corresponding water leakage amount is.
Specifically, in the third step, considering that the water leakage amount on each node of the water supply network is closely related to the used time of the water supply network node, when the service time of the water supply network node is longer, the water leakage amount of the water supply network node is larger, the corresponding water leakage amount is larger, when the service time of the water supply network node is relatively shorter, the water leakage amount of the water supply network node is relatively smaller, for example, when the water supply network node is newly built, the water leakage amount on the water supply network node can be considered to be 0, the third step is based on the service time of the water supply network node to set priority, and finally, the integral water leakage amount of the water supply network node is respectively distributed to the nodes of different water supply networks, and the water leakage amount of the different water supply network nodes and the water consumption amount of the corresponding water supply network node are calculated together to obtain the pressure estimated value on the different water supply network nodes.
Further, referring to fig. 4, in the fourth step, the pressure estimated values of the different water supply network nodes are calculated, which specifically includes the following steps:
the first step, the pressure value of the water supply end of the water supply pipe network is obtained through an intelligent pressure sensor arranged on the water supply end of the water supply pipe network.
A second step of calculating a pressure value Δp 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, the pressure loss calculation formula being described as:
ΔP＝10.67*L*C -1.85 *D -4.87 *Q 1.85 wherein L is the length of a water supply pipeline from the water supply end of the water supply network to different water supply 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.
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, the pressure estimated value on each node of the water supply network is finally obtained by using a pressure loss calculation formula, the pressure estimated value is used for calculating the mean square error of the actual pressure value of the pressure estimated value and the water supply network node in the subsequent step, and the smaller the mean square error is, the smaller the error value of the water leakage amount distributed to the water supply network node is, namely, the water leakage amount on the water supply network node is close to the actual water leakage condition, so that the water leakage amount on each node of the water supply network can be finally determined.
Further, in the step seven, according to the determined water leakage amount on each node of the water supply network, when the water leakage amount of the water supply network node is greater than the preset water leakage amount threshold value of the system, the system presumes that the water supply network node may have internal leakage loss, and sends out a water leakage reminding message containing the position information of the water supply network node 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 order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in various embodiments may include multiple sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, nor do the order in which the sub-steps or stages are performed necessarily performed in sequence, but may be performed alternately or alternately with at least a portion of the sub-steps or stages of other steps or other steps.
Those skilled in the art will appreciate that implementing all or part of the above-described methods may be accomplished by way of computer programs, which may be stored on a non-transitory computer readable storage medium, and which, when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the various embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile 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), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
The technical features of the above embodiments may be arbitrarily combined, and for brevity, all of the possible combinations of the technical features of the above embodiments are not described, however, they should be considered as the scope of the description of the present specification as long as there is no contradiction between the combinations of the technical features.
The foregoing examples have been presented to illustrate only a few embodiments of the invention and are described in more detail and are not to be construed as limiting the scope of the invention. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the invention, which are all within the scope of the invention. Accordingly, the scope of protection of the present invention is to be determined by the appended claims.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, and alternatives falling within the spirit and principles of the invention.
Claims (6)
1. Intelligent water service system based on wireless transmission of internet of things, which is characterized in that:
the intelligent water service 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, 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 various intelligent acquisition devices, the Internet of things acquisition terminal is used for collecting the water supply related data from the intelligent acquisition devices and transmitting the water supply related data to the data management layer in a wireless communication mode, the data management layer comprises a server and is used for analyzing and processing the water supply related data from the Internet of things acquisition terminal and providing various application services for the comprehensive application layer, and the comprehensive application layer comprises a computer and mobile equipment;
the comprehensive application layer of the intelligent water service system provides application services related to water leakage point detection of a water supply network, and specifically comprises the following steps:
s1, respectively counting the continuous water consumption at night based on an intelligent water meter at the water supply end of a water supply network and an intelligent pressure sensor at the water supply network terminal, and respectively obtaining pressure values corresponding to the water consumption, thereby obtaining the integral water leakage amount in the water supply network;
s2, setting water demand for each node of the water supply network according to historical water consumption counted by the intelligent water meters on each node of the water supply network;
s3, distributing the overall water leakage amount of the water supply network obtained in the S1 to each node according to different priorities of the nodes of the water supply network;
s4, respectively calculating pressure estimated values of all nodes of the water supply network;
s5, respectively obtaining actual pressure values of all nodes 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 S4;
s6, judging that if the execution times of the S5 exceeds the preset execution times threshold of the system or the mean square error obtained in the 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, otherwise, returning to the step S3 to continue execution;
s7, according to the water leakage quantity on each node of the water supply network determined in the S6, the position of the node of the water supply network, where internal leakage loss is likely to occur, is estimated;
s4, respectively calculating pressure estimated values of different water supply network nodes, and specifically comprising the following steps:
s41, obtaining a pressure value of a water supply end of the water supply pipe network through an intelligent pressure sensor arranged on the water supply end of the water supply pipe network;
s42, calculating a pressure value delta P lost from a water supply end of a water supply network to nodes of different water supply networks 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 *Q 1.85 wherein L is the length of a water supply pipeline from a water supply end of a water supply network to different water supply 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 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.
2. The intelligent water service system based on wireless transmission of the internet of things according to claim 1, wherein the application services provided by the comprehensive application layer of the intelligent water service system include, but are not limited to: remote wireless meter reading is realized, the water consumption of a user is automatically counted, the water consumption cost information is pushed to the user, and the prepayment management of the water consumption is realized; binding the user information and the intelligent water meter information, and integrating the user information and the intelligent water meter information into on-line management; providing a function of generating a statistical report on 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 carried out on the water supply network information including the flow, the water quality, the water pressure and the pipeline wiring of the water supply network, and the position of the water leakage point of the water supply network can be accurately estimated.
3. The intelligent water service system based on the wireless transmission of the internet of things according to claim 1, wherein the step of obtaining the whole water leakage amount in the water supply network in the step of S1 specifically comprises the following steps:
s11, acquiring continuous water consumption at night counted by 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 respectively, and pressure values corresponding to the water consumption respectively;
s12, selecting the smallest water consumption among the water consumption corresponding to the same pressure value, and taking the smallest water consumption as the integral water leakage amount in the water supply network;
s13, 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 through 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.
4. The intelligent water service system based on the wireless transmission of the internet of things according to claim 1, wherein the step of distributing the overall water leakage amount of the water supply network to the nodes of different water supply networks in the step S3 comprises the following steps:
s31, respectively and evenly distributing the overall water leakage amount of the water supply network to nodes of different water supply networks;
s32, setting different priorities for different nodes of the water supply network respectively, wherein the longer the service time of the water supply network node is, the higher the priority corresponding to the water supply network node is;
s33, according to different priorities of the water supply network nodes, the water leakage amount evenly distributed on the water supply network nodes is corrected, and the higher the priority of the water supply network nodes 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 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.
6. The intelligent water service system based on wireless transmission of the internet of things according to claim 1, wherein S7, according to the determined water leakage amount on each node of the water supply network, when the water leakage amount of the water supply network node is greater than a water leakage amount threshold preset by the system, the system presumes that the water supply network node may have internal leakage loss, and sends out a water leakage reminding message containing the position information of the water supply network node through the comprehensive application layer.
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