A method for analyzing tap water age

Abstract

The present invention relates to a method for analyzing the age of tap water, comprising: step (1): obtaining user water use history data, and predicting the user water use pattern according to the obtained user water use history data; step (2): constructing a hydraulic model according to the user water use pattern and pipe network data; step (3): calculating the actual water age of the user tap through the hydraulic model; step (4): comparing the actual water age of the user tap with a preset threshold, and judging whether it is necessary to remind the user to drain water according to the comparison result. The present invention effectively identifies users whose water age is too long by calculating the water age of the user tap.

Description

Technical Field

[0001] The invention relates to the technical field of water age analysis, and in particular to a tap water age analysis method. Background Art

[0002] With the improvement of my country's municipal facilities, the improvement of people's living standards, and the increasing attention to drinking water safety, more and more communities have direct drinking water supply, and various regions have also introduced high-quality drinking water management systems to improve the quality of drinking water for users and ensure their drinking water safety. However, direct drinking water supply is limited by user water consumption fluctuations. For example, in some newly built communities, there are fewer households and less water consumption overall, or water consumption fluctuates significantly in the community, with too little water consumption during the low season, resulting in water retention in the direct drinking water supply pipes and too long water age in the water pipes, which brings hidden dangers to water quality safety.

[0003] In the existing direct drinking water supply system, the main defects are as follows:

[0004] (1) Lack of tap water age analysis function. In the current direct drinking water supply system, only the water quality of the outlet water is monitored to ensure the water quality safety of the outlet water. The water quality safety of the outlet water to the user end and the problem of excessive water age caused by water retention are not considered, making it difficult to ensure the water quality for users.

[0005] (2) There is a lack of effective means to ensure the quality of tap water, and it is impossible to remind users through effective means, and it is impossible to use external means to solve the problem of users' tap water being too old.

[0006] (3) Traditional direct drinking water meters lack a remote alarm mechanism and cannot promptly detect and remind users who have not used water for a long time. Summary of the invention

[0007] The technical problem to be solved by the present invention is to provide a faucet water age analysis method, which can effectively identify users with too long water age by calculating the water age of the user's faucet.

[0008] The technical solution adopted by the present invention to solve the technical problem is: to provide a tap water age analysis method, comprising:

[0009] Step (1): obtaining historical water usage data of the user, and predicting the user's water usage pattern based on the obtained historical water usage data of the user;

[0010] Step (2): constructing a hydraulic model based on the user's water usage pattern and pipe network data;

[0011] Step (3): Calculate the actual water age of the user's tap through the hydraulic model;

[0012] Step (4): Compare the actual water age of the user's faucet with a preset threshold, and determine whether it is necessary to remind the user to drain the water based on the comparison result.

[0013] The step (2) specifically comprises:

[0014] Step (21): Generate a user water demand value according to the user water use mode, set the user water demand value to the user tap attribute value of the corresponding pipe network, and obtain the outlet flow data of the user tap and the data of the user water meter;

[0015] Step (22): Obtaining the pipe network data of the direct drinking water supply system, wherein the pipe network data includes pipe sections, nodes, water pumps, valves, pools and reservoirs data;

[0016] Step (23): constructing a hydraulic model based on the data obtained in steps (21) and (22);

[0017] Step (24): verifying and optimizing the hydraulic model based on real-time monitoring data.

[0018] The user water meter in step (21) is a wireless Internet of Things water meter, and the material of the user water meter is 316L stainless steel.

[0019] The formula for building the hydraulic model in step (23) is: Among them, H i is the water head at node i, H j is the water head at node j, h ij is the head loss between node i and node j, r is the first curve coefficient of the pump, n is the second curve coefficient of the pump, ω is the relative speed of the pump, h0 is the virtual total head of the pump, Q ij is the flow rate between node i and node j and ∑ j Q ij -D i =0,i=1,2,3,...,N,D i is the water demand of node i.

[0020] The step (3) is specifically as follows: the default setting of the initial water age of the user's faucet is 0, the frequency of data upload by the user's water meter is set to 4 hours / time, and it is determined whether the data uploaded by the user's water meter within the preset time is updated. If there is an update, the initial water age of the user's faucet is set to 0; if there is no update, the initial water age of the user's faucet is set to 4*the number of times there is no update within the preset time;

[0021] According to the obtained initial water age of the user's faucet and the water age of the water purification device, water quality calculation is performed based on the hydraulic model to obtain the actual water age of the user's faucet.

[0022] According to the obtained initial water age of the user's tap and the water age of the water purification equipment, the water quality calculation is performed based on the hydraulic model, and the formula is: Among them, Cp represents the impurity concentration of the water in pipe p, as a function of distance x and time t; x is the distance of pipe i, u p is the flow rate of water in pipe p and g is the acceleration due to gravity, h is ij is the head loss between node i and node j, δ is the local loss coefficient of the pipeline, and r represents the reaction rate, which is a function of concentration.

[0023] The step (4) is specifically as follows: if the actual water age of the user's faucet is greater than or equal to 12 hours, a reminder message is sent to the user; if the actual water age of the user's faucet is less than 12 hours, it is determined whether the user's water meter has not been updated for three consecutive times. If so, the intelligent supervision platform generates an alarm and sends a reminder message to the user; if not, it returns to the step (3).

[0024] Beneficial Effects

[0025] Due to the adoption of the above-mentioned technical scheme, the present invention has the following advantages and positive effects compared with the prior art: the present invention can calculate the water age of the end-user's faucet by constructing a hydraulic model, so as to effectively identify users with too long water age, manage the water quality problems of direct drinking water in a more refined way, accurately calculate the water age from the direct drinking water equipment to the user end, timely discover abnormal water age problems, and improve the quality of drinking water; the present invention monitors the user's water use in real time through the NB water meter, and can report the water meter readings to the intelligent supervision platform at regular intervals according to the set time period to ensure the validity and correctness of the monitored data; the present invention can monitor the user's water age in real time through the intelligent supervision platform, and promptly alarm for abnormal water age problems, and push reminder information to the user. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 is a method flow chart of an embodiment of the present invention;

[0027] Figure 2 Schematic diagram of user water display according to an embodiment of the present invention. DETAILED DESCRIPTION

[0028] The present invention will be further described below in conjunction with specific embodiments. It should be understood that these embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention. In addition, it should be understood that after reading the content taught by the present invention, those skilled in the art can make various changes or modifications to the present invention, and these equivalent forms fall within the scope limited by the appended claims of the application equally.

[0029] The embodiment of the present invention relates to a tap water age analysis method. This embodiment obtains the correlation between the tap water age of each user and the water purification equipment based on the GIS geographic system, clarifies the connection relationship of the direct drinking water supply system, and then calculates the hydraulic model to simulate the water supply process. Then, based on the water age calculation of the hydraulic model, the water age of each node in the direct drinking water supply system can be calculated, including the tap water age of the user at the end, so as to analyze whether the tap water age of the user exceeds the threshold; Figure 1 As shown, the specific steps include:

[0030] 1. Prediction of user water usage patterns

[0031] Collect user water usage history data, and use the user water consumption prediction algorithm to predict the user's water usage pattern based on the collected user water usage history data.

[0032] 2. Build a hydraulic model

[0033] Collect the pipe network data, outlet flow data, and end-user water meter data of the direct drinking water supply system to build a hydraulic model. The specific method of building the hydraulic model is as follows:

[0034] (21) Data preparation (export flow data, end-user water meter data) and node water demand value setting

[0035] The user tap is regarded as a user node, and the user water demand value is generated according to the user water use mode. The user water demand value is set to the user tap attribute value of the corresponding pipe network, and the outlet flow data of the user tap and the data of the user water meter are obtained.

[0036] (22) Pipeline network data preparation

[0037] Prepare the pipe network data of the direct drinking water supply system, which includes pipe segments, nodes, water pumps, valves, pools, and reservoir data, and maintains complete topological relationships.

[0038] (23) Generate hydraulic model

[0039] The principle of the hydraulic model is to simulate the pressure, flow, flow rate and water quality of the entire pipe network based on the pipe network node head loss equation and the node flow equation and reaction dynamics. Specifically, the hydraulic model is generated according to the data obtained in step (21) and step (22). The formula is:

[0040] H i -H j =h ij

[0041] Among them, H i is the water head at node i, H j is the water head at node j, h ijis the head loss (negative head) between nodes i and j, and h ij It can also be expressed as:

[0042]

[0043] Among them, r is the first curve coefficient of the water pump, n is the second curve coefficient of the water pump, ω is the relative speed of the water pump, h0 is the virtual total head of the water pump, Q ij is the traffic between node i and node j and Q ij It can be obtained by the following expression (node ​​flow continuity equation):

[0044] ∑ j Q ij -D i =0,i=1,2,3,...,N

[0045] Among them, D i is the water demand at node i, which is a known quantity and, by convention, is positive if it flows into the node.

[0046] (24) Model verification and optimization

[0047] The hydraulic model is verified according to the real-time monitoring data. If the calculation result is not wrong, the hydraulic model is correct. The calculation result and the actual result value are recorded, and the hydraulic model is iteratively optimized.

[0048] It is worth mentioning that the user water meter in this embodiment is a wireless Internet of Things water meter (i.e., NB water meter). The NB water meter has a remote transmission function and can identify users who have not used water for a long time by measuring changes. The material of the NB water meter is 316L stainless steel, which meets the material requirements for direct drinking water. For details, see Figure 2 .

[0049] 3. Calculation and analysis of tap water age

[0050] Get the initial water age of the water outlet of the water purification equipment, set the initial water age of the user node (user faucet), the default is 0, the user water meter upload frequency is set to once every 4 hours, and determine whether the user water meter has updated the uploaded data within the preset time. If there is an update, the initial water age of the user faucet is set to 0; if there is no update, the initial water age of the user faucet is set to 4*the number of recent updates. Using the obtained initial water age of the user faucet and the water age of the water outlet of the water purification equipment, perform water quality calculation based on the hydraulic model to obtain the actual water age of the user faucet.

[0051] The water quality calculation principle is based on the plug flow migration expression in the pipeline, the formula is as follows:

[0052]

[0053] Among them, Cp represents the impurity concentration of the water in pipe p, as a function of distance x and time t; x is the distance of pipe i, u p is the flow rate of water in pipe p and g is the acceleration due to gravity, h is ij is the head loss between node i and node j, δ is the local loss coefficient of the pipeline, and r represents the reaction rate, which is a function of concentration.

[0054] 4. Determine the actual water age of the user's faucet and remind the user of water usage

[0055] The judgment is made based on the actual water age of the user's faucet. The specific judgment basis is as follows:

[0056] Judgment 1: If the actual water age of the user's faucet is greater than or equal to 12 hours, the intelligent supervision platform will alarm and send a reminder message to the user, reminding the user to deal with the water used that exceeds the water age in a timely manner.

[0057] Judgment 2: If the actual water age of the user's faucet is less than 12 hours, determine whether the user's water meter has not been updated for three consecutive times. If so, the intelligent supervision platform generates an alarm record and sends a message reminder to the user to promptly remind the user to deal with the water use that exceeds the water age; if there is no update for three consecutive times, return to the user's faucet initial water age setting (ie step 3) and update the user's faucet initial water age.

[0058] It can be seen that the present invention can calculate the water age of the end-user's faucet by constructing a hydraulic model, so as to effectively identify users with too long water age, manage the water quality problems of direct drinking water in a more refined way, accurately calculate the water age from the direct drinking water equipment to the user end, promptly discover abnormal water age problems, and improve the quality of drinking water.

Claims

1. A tap water age analysis method, characterized in that: include: Step (1): obtaining historical water usage data of the user, and predicting the user's water usage pattern based on the obtained historical water usage data of the user; Step (2): constructing a hydraulic model based on the user's water usage pattern and pipe network data; specifically: Step (21): Generate a user water demand value according to the user water use mode, set the user water demand value to the user tap attribute value of the corresponding pipe network, and obtain the outlet flow data of the user tap and the data of the user water meter; Step (22): Obtaining the pipe network data of the direct drinking water supply system, wherein the pipe network data includes pipe sections, nodes, water pumps, valves, pools and reservoirs data; Step (23): construct a hydraulic model based on the data obtained in step (21) and step (22); wherein the formula of the hydraulic model is: Among them, H i is the water head at node i, H j is the water head at node j, h ij is the head loss between node i and node j, r is the first curve coefficient of the pump, n is the second curve coefficient of the pump, ω is the relative speed of the pump, h0 is the virtual total head of the pump, Q ij is the flow between node i and node j and Σ j Q ij -D i =0,i=1,2,3,...,N,D i is the water demand of node i; Step (24): verifying and optimizing the hydraulic model according to real-time monitoring data; Step (3): Calculate the actual water age of the user's faucet through the hydraulic model, specifically: set the default initial water age of the user's faucet to 0, set the frequency of uploading data of the user's water meter to 4 hours / time, determine whether the data uploaded by the user's water meter within the preset time is updated, if updated, set the initial water age of the user's faucet to 0; if not updated, set the initial water age of the user's faucet to 4*the number of times there is no update within the preset time; perform water quality calculation based on the hydraulic model according to the obtained initial water age of the user's faucet and the water age of the water purification device, and obtain the actual water age of the user's faucet; wherein, the water quality calculation based on the hydraulic model according to the obtained initial water age of the user's faucet and the water age of the water purification device is performed, and the formula is: C p represents the impurity concentration of the water in pipe p, as a function of distance x and time t; x is the distance of pipe i, u p is the flow rate of water in pipe p and g is the acceleration of gravity, δ is the local loss coefficient of the pipeline, r(C p ) represents the reaction rate as a function of the impurity concentration of the water in pipe p; Step (4): Compare the actual water age of the user's faucet with a preset threshold, and determine whether it is necessary to remind the user to drain the water based on the comparison result.

2. The tap water age analysis method according to claim 1, characterized in that: The user water meter in step (21) is a wireless Internet of Things water meter, and the material of the user water meter is 316L stainless steel.

3. The tap water age analysis method according to claim 1, characterized in that: The step (4) is specifically as follows: if the actual water age of the user's faucet is greater than or equal to 12 hours, a reminder message is sent to the user; if the actual water age of the user's faucet is less than 12 hours, it is determined whether the user's water meter has not been updated for three consecutive times. If so, the intelligent supervision platform generates an alarm and sends a reminder message to the user; if not, it returns to the step (3).

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