CN112949221A - Faucet water age analysis method - Google Patents
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- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 title claims abstract description 200
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- 235000020188 drinking water Nutrition 0.000 claims description 24
- 239000003651 drinking water Substances 0.000 claims description 24
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Abstract
The invention relates to a faucet water age analysis method, which comprises the following steps: step (1): acquiring historical water consumption data of a user, and predicting a water consumption mode of the user according to the acquired historical water consumption data of the user; step (2): constructing a hydraulic model according to the user water usage mode and pipe network data; and (3): calculating the actual water age of a faucet of a user through the hydraulic model; and (4): and comparing the actual water age of the user faucet with a preset threshold, and judging whether the user needs to be reminded to drain according to a comparison result. According to the invention, the water age of the faucet of the user is calculated, so that the user with the overlong water age can be effectively identified.
Description
Technical Field
The invention relates to the technical field of water age analysis, in particular to a faucet water age analysis method.
Background
Along with the improvement of municipal facilities in China, the improvement of the living standard of people and the increasing attention of people to the drinking water safety problem, more and more communities are built with direct drinking water for entering households, and high-quality drinking water management systems are developed in various places so as to improve the drinking water quality of users and guarantee the drinking water safety of the users. However, direct drinking water is limited by fluctuation of water consumption of users, if some new residential districts exist, the number of people entering the residents is small, the whole water consumption is small, or the water consumption fluctuation in the residential districts is obvious, the water consumption in the valley period is too little, so that the water body in the direct drinking water supply pipe is retained, and the age of the water in the water pipe is too long, thereby bringing about potential safety hazards of water quality.
In the current straight drinking water supply system, the main defect that exists is as follows:
(1) the water age analysis function of the faucet is lacked, the water quality of the outlet water of the existing direct drinking water supply system is only monitored, the water quality safety of the direct drinking water outlet part is guaranteed, and the water quality safety of the outlet water to a user side and the problem of over-age of the outlet water caused by water detention are not considered, so that the water quality of the user is difficult to guarantee.
(2) The water quality of the faucet is guaranteed by lacking effective means, the user cannot be reminded by the effective means, and the problem that the water age of the faucet of the user is too long cannot be solved by means of external means.
(3) The traditional direct drinking water meter lacks a remote transmission alarm mechanism, and cannot find and remind users who do not use water for a long time.
Disclosure of Invention
The invention aims to provide a faucet water age analysis method, which can effectively identify a user with an overlong water age by calculating the water age of a faucet of the user.
The technical scheme adopted by the invention for solving the technical problems is as follows: provided is a faucet water age analysis method, comprising:
step (1): acquiring historical water consumption data of a user, and predicting a water consumption mode of the user according to the acquired historical water consumption data of the user;
step (2): constructing a hydraulic model according to the user water usage mode and pipe network data;
and (3): calculating the actual water age of a faucet of a user through the hydraulic model;
and (4): and comparing the actual water age of the user faucet with a preset threshold, and judging whether the user needs to be reminded to drain according to a comparison result.
The step (2) specifically comprises:
step (21): generating a user water demand value according to the user water usage mode, setting the user water demand value to a user faucet attribute value of a corresponding pipe network, and acquiring outlet flow data of a user faucet and data of a user water meter;
step (22): acquiring pipe network data of a direct drinking water supply system, wherein the pipe network data comprises pipe sections, nodes, a water pump, valves, a water pool and reservoir data;
step (23): constructing a hydraulic model according to the data acquired in the step (21) and the step (22);
step (24): and verifying and optimizing the hydraulic model according to the real-time monitoring data.
The user water meter in step (21) is a wireless Internet of things water meter, and the user water meter is made of 316L stainless steel.
The formula for building the hydraulic model in the step (23) is as follows:
wherein HiHead at node i, HjHead, h, at node jijIs the head loss of the node i and the node j, r is a first curve coefficient of the water pump, n is a second curve coefficient of the water pump, omega is the relative rotation speed of the water pump, h0Is the total virtual lift, Q, of the water pumpijIs the traffic between node i and node j and ∑jQij-Di＝0,i＝1,2,3,...,N，DiIs the water demand of node i.
The step (3) is specifically as follows: setting the initial water age of a user faucet as 0 by default, setting the data uploading frequency of the user water meter as 4 hours/time, judging whether the data uploaded by the user water meter in the preset time is updated or not, and if the data is updated, setting the initial water age of the user faucet as 0; if the faucet is not updated, setting the initial water age of the faucet of the user to be 4 x preset time without updating times;
and performing water quality calculation based on the hydraulic model according to the obtained initial water age of the user faucet and the obtained water outlet age of the water purifying equipment to obtain the actual water age of the user faucet.
And according to the obtained initial water age of the faucet of the user and the obtained water outlet age of the water purifying equipment, performing water quality calculation based on the hydraulic model, wherein the formula is as follows:
wherein, CpRepresents the impurity concentration of the water in the pipe p as a function of the distance x and of the time t; x is the distance of the pipe i, upIs the flow rate of water in the pipe p and
g is the acceleration of gravity, hijIs the head loss of the node i and the node j, delta is the local loss coefficient of the pipeline, and r represents the reaction rate and is a function of concentration.
The step (4) is specifically as follows: if the actual water age of the tap of the user is more than or equal to 12 hours, sending reminding information to the user; if the actual water age of the user faucet is less than 12 hours, judging whether the user water meter is continuously updated for three times, if so, generating an alarm by the intelligent supervision platform, and sending reminding information to the user; if not, returning to the step (3).
Advantageous effects
Due to the adoption of the technical scheme, compared with the prior art, the invention has the following advantages and positive effects: according to the invention, by constructing the hydraulic model, the water age of the faucet of the end user can be calculated, so that the user with the overlong water age can be effectively identified, the water quality problem of direct drinking water can be managed in a more detailed manner, the water age from direct drinking water equipment to a user side can be accurately calculated, the problem of abnormal water age can be timely found, and the drinking water quality can be improved; according to the invention, the water consumption condition of the user is monitored in real time through the NB water meter, and the reading of the water meter can be reported to the intelligent supervision platform at regular time according to the set time period, so that the validity and the correctness of the monitored data are ensured; according to the invention, through the intelligent supervision platform, the water age of the user can be monitored in real time, an alarm is given in time aiming at the problem of abnormal water age, and meanwhile, reminding information is pushed to the user.
Drawings
FIG. 1 is a process flow diagram of an embodiment of the present invention;
figure 2 is a schematic diagram of a customer water meter in accordance with an embodiment of the present invention.
Detailed Description
The invention will be further illustrated with reference to the following specific examples. It should be understood that these examples are for illustrative purposes only and are not intended to limit the scope of the present invention. Further, it should be understood that various changes or modifications of the present invention may be made by those skilled in the art after reading the teaching of the present invention, and such equivalents may fall within the scope of the present invention as defined in the appended claims.
The embodiment of the invention relates to a faucet water age analysis method, which is characterized in that the embodiment obtains the incidence relation between the faucet water age of each user and water purification equipment based on a GIS geographic system, the connection relation of a direct drinking water supply system is clarified, then the water supply process is simulated by calculating a hydraulic model, and the water age of each node in the direct drinking water supply system, including the faucet water age of the user at the tail end, can be calculated based on the water age calculation of the hydraulic model, so that whether the faucet water age of the user exceeds a threshold value or not is analyzed; as shown in fig. 1, the method specifically comprises the following steps:
1. user water usage pattern prediction
And collecting historical water consumption data of the user, and predicting the water consumption mode of the user by using a water consumption prediction algorithm of the user according to the collected historical water consumption data of the user.
2. Constructing hydraulic model
Collecting pipe network data, outlet flow data and end user water meter data of a direct drinking water supply system to construct a hydraulic model, wherein the hydraulic model constructing method specifically comprises the following steps:
(21) data preparation (outlet flow data, end user water meter data) and node water demand setting
And regarding the user faucet as a user node, generating a user water demand value according to the user water consumption mode, setting the user water demand value to a user faucet attribute value of a corresponding pipe network, and acquiring outlet flow data of the user faucet and data of a user water meter.
(22) Pipe network data preparation
Preparing pipe network data of a direct drinking water supply system, wherein the pipe network data comprises pipe sections, nodes, water pumps, valves, a water pool and reservoir data, and maintaining a complete topological relation.
(23) Generating a hydraulic model
The hydraulic model principle is that the pressure, flow velocity and water quality condition of the whole pipe network are simulated according to a pipe network node head loss equation, a node flow equation and reaction dynamics, and specifically comprises the following steps: generating a hydraulic model according to the data acquired in the step (21) and the step (22), wherein the formula is as follows:
Hi-Hj＝hij
wherein HiHead at node i, HjHead, h, at node jijHead loss (negative head) for node i and node j, and hijIt can also be expressed as:
wherein r is a first curve coefficient of the water pump, n is a second curve coefficient of the water pump, omega is the relative rotation speed of the water pump, and h0Is the total virtual lift, Q, of the water pumpijIs the traffic flow between node i and node j and QijThis can be found by the following expression (node flow continuity equation):
∑jQij-Di＝0,i＝1,2,3,...,N
wherein D isiThe water demand for node i is a known quantity and, by convention, the inflow node is positive.
(24) Model validation and optimization
And verifying the hydraulic model according to the real-time monitoring data, if the calculation result is not wrong, judging that the hydraulic model is correct, recording the calculation result and the real result value, and performing iterative optimization on the hydraulic model.
It is worth mentioning that, the user water gauge among this embodiment is wireless thing networking water gauge (be NB water gauge), and the NB water gauge has the teletransmission function, can discern the user of long-time unused water through the measurement situation of change, and the material of NB water gauge is 316L stainless steel, satisfies the material requirement of directly drinking water, specifically see fig. 2.
3. Calculation and analysis of tap water age
Acquiring initial water age of a water outlet of water purification equipment, setting initial water age of a user node (user faucet), setting the default to 0, setting uploading frequency of a user water meter to be 4 hours and 1 time, judging whether data uploaded by the user water meter in preset time is updated or not, and setting the initial water age of the user faucet to be 0 if the data uploaded by the user water meter is updated; if there are no updates, the user's initial age of the faucet is set to 4 x the number of recent no updates. And executing water quality calculation by utilizing the obtained initial water age of the user faucet and the water outlet age of the water purifying equipment based on the hydraulic model to obtain the actual water age of the user faucet.
The water quality calculation principle is based on a plug flow migration expression in a pipeline, and the formula is as follows:
wherein, CpRepresents the impurity concentration of the water in the pipe p as a function of the distance x and of the time t; x is the distance of the pipe i, upIs the flow rate of water in the pipe p and
g is the acceleration of gravity, hijIs the head loss of the node i and the node j, delta is the local loss coefficient of the pipeline, and r represents the reaction rate and is a function of concentration.
4. User faucet actual water age judgment and user water use reminding
And judging according to the calculated actual water age of the faucet of the user, wherein the specific judgment basis is as follows:
judging one: and if the actual water age of the tap of the user is more than or equal to 12 hours, the intelligent supervision platform gives an alarm and sends an information prompt to the user, and the user is prompted to treat the water with the water age exceeding part.
And II, judging: if the actual water age of the user faucet is less than 12 hours, judging whether the water meter of the user is continuously updated for three times, if so, generating an alarm record by the intelligent supervision platform, sending information prompt to the user, and timely prompting the user to treat water with the water age exceeding part; and if not, returning to the initial water age setting of the faucet of the user (namely step 3) and updating the initial water age of the faucet of the user.
Therefore, the water age of the faucet of the end user can be calculated by constructing the hydraulic model, so that the user with the overlong water age can be effectively identified, the water quality problem of the direct drinking water can be managed in a more precise mode, the water age from the direct drinking water equipment to the user side can be accurately calculated, the abnormal water age problem can be timely found, and the drinking water quality can be improved.
Claims (7)
1. A faucet water age analysis method is characterized by comprising the following steps:
step (1): acquiring historical water consumption data of a user, and predicting a water consumption mode of the user according to the acquired historical water consumption data of the user;
step (2): constructing a hydraulic model according to the user water usage mode and pipe network data;
and (3): calculating the actual water age of a faucet of a user through the hydraulic model;
and (4): and comparing the actual water age of the user faucet with a preset threshold, and judging whether the user needs to be reminded to drain according to a comparison result.
2. The faucet water age analysis method according to claim 1, wherein the step (2) specifically comprises:
step (21): generating a user water demand value according to the user water usage mode, setting the user water demand value to a user faucet attribute value of a corresponding pipe network, and acquiring outlet flow data of a user faucet and data of a user water meter;
step (22): acquiring pipe network data of a direct drinking water supply system, wherein the pipe network data comprises pipe sections, nodes, a water pump, valves, a water pool and reservoir data;
step (23): constructing a hydraulic model according to the data acquired in the step (21) and the step (22);
step (24): and verifying and optimizing the hydraulic model according to the real-time monitoring data.
3. The faucet water age analysis method according to claim 2, wherein the user water meter in the step (21) is a wireless internet of things water meter, and the user water meter is made of 316L stainless steel.
4. The faucet water age analysis method according to claim 2, wherein the formula for establishing the hydraulic model in step (23) is as follows:
wherein HiHead at node i, HjHead, h, at node jijIs the head loss of the node i and the node j, r is a first curve coefficient of the water pump, n is a second curve coefficient of the water pump, omega is the relative rotation speed of the water pump, h0Is the total virtual lift, Q, of the water pumpijIs the traffic between node i and node j and ∑jQij-Di＝0,i＝1,2,3,...,N，DiIs the water demand of node i.
5. The faucet water age analysis method according to claim 1, wherein the step (3) is specifically: setting the initial water age of a user faucet as 0 by default, setting the data uploading frequency of the user water meter as 4 hours/time, judging whether the data uploaded by the user water meter in the preset time is updated or not, and if the data is updated, setting the initial water age of the user faucet as 0;
if the faucet is not updated, setting the initial water age of the faucet of the user to be 4 x preset time without updating times;
and performing water quality calculation based on the hydraulic model according to the obtained initial water age of the user faucet and the obtained water outlet age of the water purifying equipment to obtain the actual water age of the user faucet.
6. The faucet water age analysis method according to claim 5, wherein the water quality calculation is performed based on the hydraulic model according to the obtained initial water age of the faucet of the user and the water outlet age of the water purification device, and the formula is as follows:
wherein, CpRepresents the impurity concentration of the water in the pipe p as a function of the distance x and of the time t; x is the distance of the pipe i, upIs the flow rate of water in the pipe p and
g is the acceleration of gravity, hijIs the head loss of the node i and the node j, delta is the local loss coefficient of the pipeline, and r represents the reaction rate and is a function of concentration.
7. The faucet water age analysis method according to claim 1, wherein the step (4) is specifically: if the actual water age of the tap of the user is more than or equal to 12 hours, sending reminding information to the user; if the actual water age of the user faucet is less than 12 hours, judging whether the user water meter is continuously updated for three times, if so, generating an alarm by the intelligent supervision platform, and sending reminding information to the user; if not, returning to the step (3).
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| CN113490079A (en) * | 2021-08-10 | 2021-10-08 | 广东粤海水务投资有限公司 | Method for judging water storage state of service pipe based on service pipe water age |
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