Remote parameter self-regulation and control method based on backwashing water filter

Abstract

The invention relates to the technical field of water filtering treatment, in particular to a remote parameter self-regulation and control method based on a backwashing water filter. The method comprises the following steps: firstly, acquiring a water flow influence degree at the current moment according to a change condition of an inlet flow value in a preset influence time period at the current moment; according to the distribution difference condition of the flow velocity monitoring vectors of all the monitoring positions at the current moment, obtaining the blocking measurement at the current moment; and fusing the trend anomaly measurement, the water flow influence degree and the blocking measurement at the current moment, obtaining an adjustment demand degree at the current moment, adjusting a preset pressure difference threshold value, obtaining an adjusted pressure difference threshold value of the backwashing water filter at the current moment, and controlling the backwashing water filter. According to the invention, the preset pressure difference threshold value of the backwash water filter is dynamically adjusted, so that the requirement of the real-time operation condition of the backwash water filter is met, and the backwash accuracy is further guaranteed.

Description

Technical Field

[0001] The invention relates to the technical field of water filtration treatment, and in particular to a remote parameter self-regulation method based on a backwash water filter. Background Art

[0002] A water filter is a precision device that uses a filter to directly intercept impurities in the water, remove impurities from the water, purify the water quality and protect the normal operation of other equipment in the system. Backwashing is a maintenance method for the water filter. The filter is backwashed to remove accumulated pollutants and restore the filtering capacity of the filter. Backwashing the water filter intercepts impurities on the outside of the filter through the filtering effect of the filter, and the filtered clean water flows out from the other side of the filter. As the filtering time increases, impurities accumulate in the filter. In order to ensure the filtering capacity of the water filter, backwashing is required.

[0003] The pressure difference of the backwash filter is an important parameter. The pressure difference can reflect the impurity content in the backwash filter. The existing technology determines whether to backwash the backwash filter by comparing the real-time pressure difference with the fixed preset pressure difference threshold. However, in the process of backwashing the backwash filter using the existing technology, the inlet water flow and the internal operation of the filter are not fully considered to directly affect the pressure difference, resulting in the fixed preset pressure difference threshold being difficult to adapt to the needs of the backwash filter under different working conditions, and it is difficult to ensure the accuracy of the backwash of the filter. Summary of the invention

[0004] In order to solve the technical problem that it is difficult to ensure the backwash accuracy of the water filter in the prior art, the purpose of the present invention is to provide a remote parameter self-regulation method based on backwashing water filter, and the technical scheme adopted is as follows:

[0005] A remote parameter self-regulation method based on a backwash water filter, the method comprising:

[0006] Obtain the pressure difference parameters of the backwash water filter at each sampling time, the inlet flow value, and the flow rate monitoring vector at each monitoring position inside the backwash water filter;

[0007] According to the change of the pressure difference parameter corresponding to the current moment with time series, the trend anomaly measurement at the current moment is obtained; according to the change of the inlet flow value in the preset influence time period at the current moment, the water flow influence degree at the current moment is obtained; according to the distribution difference of the flow rate monitoring vector at all monitoring positions at the current moment, the blockage measurement at the current moment is obtained; the trend anomaly measurement, the water flow influence degree and the blockage measurement at the current moment are integrated to obtain the adjustment demand degree at the current moment;

[0008] According to the adjustment requirement at the current moment, the preset pressure difference threshold is adjusted, the adjusted pressure difference threshold of the backwash water filter at the current moment is obtained, and the backwash water filter is controlled.

[0009] Furthermore, the method for obtaining the trend anomaly metric includes:

[0010] Calculate the difference between the pressure difference parameter corresponding to the sampling moment and the previous sampling moment in time sequence, and obtain the pressure difference rising trend value at the sampling moment;

[0011] The difference between the current moment and the pressure difference rising trend value corresponding to the previous sampling moment in time series is calculated, and the difference is negatively correlated to obtain the trend anomaly measurement at the current moment.

[0012] Furthermore, the method for obtaining the water flow influence degree includes:

[0013] In the preset impact time period at the current moment, the difference between each sampling moment and the previous inlet flow value is calculated to obtain the flow increase characteristic value at each sampling moment; the mean of the flow increase characteristic values ​​at all sampling moments is calculated; when the mean is not greater than 0, the water flow impact degree at the current moment is set to 0; when the mean is greater than 0, the mean is used as the water flow impact degree at the current moment.

[0014] Furthermore, the method for obtaining the blocking metric includes:

[0015] According to the difference between the flow velocity monitoring vectors of every two monitoring positions, all monitoring positions are clustered to obtain various cluster clusters;

[0016] According to the difference between the flow velocity monitoring vectors between the cluster and its adjacent cluster, the flow velocity distribution difference of the cluster is obtained;

[0017] According to the flow velocity distribution difference, a target cluster is selected from all clusters;

[0018] The blockage measure at the current moment is obtained according to the spatial distance between the target cluster and the inlet of the backwash filter.

[0019] Furthermore, the method for obtaining the clustering clusters includes:

[0020] For any two monitoring positions corresponding to the flow velocity monitoring vectors, the cosine similarities of the two flow velocity monitoring vectors are negatively correlated to obtain a direction difference metric; the difference in the module lengths of the two flow velocity monitoring vectors is normalized to obtain a speed value difference metric; the sum of the direction difference metric and the speed value difference metric is calculated to obtain a distance metric value between every two monitoring positions;

[0021] Using the K-means clustering algorithm, all monitoring locations are clustered according to the distance measurement value between every two monitoring locations to obtain each cluster.

[0022] Furthermore, the method for obtaining the flow velocity distribution difference includes:

[0023] Calculating the mean of the flow velocity monitoring vectors of all monitoring positions in the cluster to obtain the overall flow velocity vector of the cluster;

[0024] Take any cluster as the cluster to be analyzed, and take all clusters adjacent to the cluster to be analyzed in spatial distribution as the reference clusters of the cluster to be analyzed;

[0025] Negative correlation mapping is performed on the Euclidean distance between the cluster center points of the cluster to be analyzed and the reference cluster to obtain a distribution weight; the modulus of the difference between the overall velocity vector of the cluster to be analyzed and the reference cluster is calculated to obtain a distribution difference parameter; the product of the distribution weight and the distribution difference parameter is calculated to obtain a local distribution difference index between the cluster to be analyzed and the reference cluster;

[0026] The mean of the local distribution difference index between the cluster to be analyzed and all the reference clusters is calculated to obtain the velocity distribution difference of the cluster to be analyzed.

[0027] Furthermore, the method for obtaining the blockage metric at the current moment according to the spatial distance between the target cluster and the inlet of the backwash water filter includes:

[0028] The Euclidean distance between the cluster center point of each target cluster and the inlet of the backwash filter is calculated to obtain the deviation inlet measurement of each target cluster; the mean of the deviation inlet measurement of all target clusters is calculated and negative correlation mapping is performed to obtain the blockage measurement at the current moment.

[0029] Furthermore, the method for adjusting the demand degree includes:

[0030] The product of the trend anomaly measure, the water flow impact degree and the obstruction measure at the current moment is calculated and normalized to obtain the adjustment demand degree at the current moment.

[0031] Furthermore, the method for adjusting the pressure difference threshold includes:

[0032] The product of the adjustment requirement and the preset adjustment value is calculated to obtain the target adjustment value at the current moment; the product of the target adjustment value at the current moment and the preset pressure difference threshold is calculated to obtain the adjusted pressure difference threshold of the backwash filter at the current moment.

[0033] Furthermore, the method for controlling backwashing of the water filter comprises:

[0034] At the current moment, if the pressure difference parameter is not less than the adjusted pressure difference threshold, the backwash water filter is controlled to backwash the impurities in the filter screen; if the pressure difference parameter is less than the adjusted pressure difference threshold, the backwash water filter is controlled to perform water quality filtration processing.

[0035] The present invention has the following beneficial effects:

[0036] In order to ensure the accuracy of backwashing, it is necessary to analyze the need to adjust the preset pressure difference threshold based on the real-time operating status of the backwash water filter. Considering that the filter material in the backwash water filter will be affected by chemical reactions or physical degradation, the filtering performance of the filter will be changed, resulting in a change in the pressure difference change trend of the backwash water filter. The preset pressure difference threshold needs to be increased to adapt to this change. First, the trend anomaly measurement is used to reflect the need to increase the preset pressure difference threshold due to poor real-time filter performance; considering that an increase in inlet flow means that more water flows through the water filter, the pressure difference inside the water filter may quickly reach the preset pressure difference threshold, and the preset pressure difference threshold needs to be increased to adapt to this change. The water flow impact is used to reflect the impact of the pressure difference caused by the increase in inlet flow. The demand for increasing the preset pressure difference threshold due to the increase in real-time water flow; considering that during the operation of the backwash water filter, due to the difference in the degree of accumulation of impurities at different positions of the filter due to the design and placement of the water filter, larger and heavier impurities may be deposited at a position closer to the water inlet, and the impurities will block the water flow, causing the pressure difference between the water inlet and the water outlet to increase rapidly. The preset pressure difference threshold needs to be increased to adapt to this change. The demand for increasing the preset pressure difference threshold due to the real-time impurity distribution is reflected based on the blockage metric; the trend anomaly metric, water flow impact and blockage metric at the current moment are integrated to obtain the adjustment demand at the current moment. The adjustment demand reflects the demand for increasing the preset pressure difference threshold for the real-time operation of the backwash water filter. According to the adjustment demand at the current moment, the preset pressure difference threshold is dynamically adjusted to meet the real-time operation of the backwash water filter, thereby ensuring the accuracy of backwashing. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0038] Figure 1 A flow chart of a remote parameter self-regulation method based on a backwash water filter provided by an embodiment of the present invention;

[0039] Figure 2A flow chart of a method for obtaining a blocking metric provided by an embodiment of the present invention;

[0040] Figure 3 A structural diagram of a remote parameter self-regulation system based on a backwash water filter provided in one embodiment of the present invention. DETAILED DESCRIPTION

[0041] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following is a detailed description of the specific implementation method, structure, features and effects of a remote parameter self-regulation method based on a backwash water filter proposed by the present invention in combination with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics in one or more embodiments may be combined in any suitable form.

[0042] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0043] The specific scheme of the remote parameter self-regulation method based on backwashing water filter provided by the present invention is described in detail below with reference to the accompanying drawings.

[0044] The embodiment of the present invention provides a remote parameter self-regulation method based on backwash water filter, please refer to Figure 1 , which shows a flow chart of a remote parameter self-regulation method based on a backwash water filter provided by an embodiment of the present invention, the method comprising the following steps:

[0045] Step S1: Obtain the pressure difference parameter, inlet flow value and flow rate monitoring vector of each monitoring position inside the backwash water filter at each sampling time.

[0046] The main purpose of the present invention is to adjust the preset pressure difference threshold to meet the real-time operation requirements of the backwash water filter, thereby ensuring the accuracy of backwashing. First, data needs to be acquired.

[0047] Firstly, the pressure difference parameters, inlet flow value and flow rate monitoring vector at each monitoring position inside the backwash water filter are obtained from the monitoring system of the backwash water filter at each sampling time.

[0048] Specifically, in order to analyze the demand for backwashing of the water filter, the pressure value at the inlet and the pressure value at the outlet can be obtained respectively by installing pressure sensors at the inlet and outlet of the backwash water filter; the difference between the pressure value at the inlet and the pressure value at the outlet is used as the pressure difference parameter of the backwash water filter. In order to analyze the inlet water flow, a water meter is installed at the inlet of the backwash water filter to collect the water flow value, and the flow value is used as the inlet flow value of the backwash water filter. Inside the backwash water filter, multiple monitoring positions are evenly set to comprehensively monitor the flow rate inside the water filter. At each monitoring position, the size and direction of the water flow rate are collected by an ultrasonic flowmeter, and the flow rate monitoring vector of each monitoring position inside the backwash water filter can be obtained. The size of the flow rate monitoring vector is the water flow rate value, and the direction of the flow rate monitoring vector is the direction of the water.

[0049] According to the preset sampling frequency, synchronous sampling is performed to obtain the pressure difference parameters, inlet flow value and flow rate monitoring vector at each monitoring position of the backwash filter at each sampling time. Among them, the last sampling time is the current time.

[0050] In one embodiment of the present invention, the preset sampling frequency is 10 seconds / time, and the implementer can set it according to the implementation scenario. It should be noted that, in order to facilitate the calculation, all indicator data involved in the calculation in the embodiment of the present invention are pre-processed to eliminate the dimension effect. The specific means of removing the dimension effect are technical means well known to those skilled in the art and are not limited here.

[0051] In the operation logic of the backwash water filter, the pressure difference parameter is a crucial parameter, which directly reflects the accumulation degree of impurities in the water filter. Ideally, when the impurity content increases, the pressure difference parameter before and after the water filter will also increase accordingly. This change becomes the basis for triggering the backwash operation. The traditional practice is to set a fixed preset pressure difference threshold. When the real-time pressure difference parameter exceeds this threshold, the backwash operation is performed to remove impurities on the filter and restore the filtering capacity. The fixed preset pressure difference threshold has limitations when facing variable working conditions. Although frequent backwashing operations can remove impurities on the filter, there are also problems, that is, because each backwashing requires a certain amount of time to complete, and during this time, the water filter cannot continue to filter the water flow, resulting in a loss of filtering efficiency and causing wear of the filter. In order to solve this problem, the present invention proposes a method for dynamically adjusting the preset pressure difference threshold. By analyzing the real-time operating conditions that mainly affect the pressure difference parameter, namely, the inlet flow, the aging of the filter, and the distribution of impurity blockages in the water filter, the preset pressure difference threshold is dynamically adjusted.

[0052] Step S2: According to the change of the corresponding pressure difference parameter at the current moment with time series, obtain the trend anomaly measurement at the current moment; according to the change of the inlet flow value in the preset impact time period at the current moment, obtain the water flow impact at the current moment; according to the distribution difference of the flow rate monitoring vectors at all monitoring positions at the current moment, obtain the blockage measurement at the current moment; integrate the trend anomaly measurement, water flow impact and blockage measurement at the current moment to obtain the adjustment demand at the current moment.

[0053] In order to ensure the accuracy of backwashing, it is necessary to analyze the need to adjust the preset pressure difference threshold based on the real-time operating status of the backwash water filter. Considering that the filter material in the backwash water filter will be affected by chemical reactions or physical degradation, the filtering performance of the filter will be changed, resulting in a change in the pressure difference change trend of the backwash water filter. The preset pressure difference threshold needs to be increased to adapt to this change. First, the trend anomaly measurement is used to reflect the need to increase the preset pressure difference threshold due to poor real-time filter performance; considering that an increase in inlet flow means that more water flows through the water filter, the pressure difference inside the water filter may quickly reach the preset pressure difference threshold, and the preset pressure difference threshold needs to be increased to adapt to this change. The water flow impact is used to reflect the impact of the pressure difference caused by the increase in inlet flow. The demand for increasing the preset pressure difference threshold due to the increase in real-time water flow; taking into account the difference in the degree of accumulation of impurities at different positions of the filter due to the design and placement of the filter during the operation of the backwash water filter, larger and heavier impurities may be deposited at a position closer to the water inlet, and the impurities will block the water flow, causing the pressure difference between the water inlet and the water outlet to increase rapidly. The preset pressure difference threshold needs to be increased to adapt to this change, and the demand for increasing the preset pressure difference threshold due to the real-time impurity distribution is reflected based on the blockage metric; the trend anomaly metric, water flow impact and blockage metric at the current moment are integrated to obtain the adjustment demand at the current moment, and the adjustment demand reflects the demand of the real-time operation status of the backwash water filter for increasing the preset pressure difference threshold.

[0054] In order to ensure the accuracy of backwashing, it is necessary to analyze the need to adjust the preset pressure difference threshold based on the real-time operating status of the backwash water filter. First, consider that the filter material in the backwash water filter will be affected by chemical reactions or physical degradation, which will change the filtering performance of the filter, resulting in changes in the impurity content and the pressure difference change trend. It is necessary to increase the preset pressure difference threshold to adapt to this change and ensure that the backwashing operation can still be triggered when the filter is blocked to a certain extent, so that resources will not be wasted or the damage of the filter will not be accelerated due to excessive flushing. Preferably, in one embodiment of the present invention, the method for obtaining the trend anomaly metric includes:

[0055] According to the difference in the change trend of the pressure difference parameter corresponding to the current moment and the previous sampling moment in time series, the trend anomaly measurement at the current moment is obtained.

[0056] Taking into account that when the filter performance is good, impurities will gradually accumulate on the filter as the filtration proceeds, causing the pressure difference parameter of the water filter to show a clear upward trend; at the same time, considering that the filter material in the water filter may undergo chemical reactions or physical degradation after long-term use, resulting in poor filter performance, the increase in the pressure difference parameter of the water filter is not obvious. By constructing a trend anomaly metric, the need to increase the preset pressure difference threshold due to poor real-time filter performance is reflected.

[0057] Preferably, in one embodiment of the present invention, the method for obtaining the trend anomaly metric includes:

[0058] The difference between the pressure difference parameter corresponding to the sampling moment and the previous sampling moment in time series is calculated to obtain the pressure difference rising trend value at the sampling moment; the difference between the pressure difference rising trend value corresponding to the current moment and the previous sampling moment in time series is calculated, and the difference is negatively correlated to obtain the trend anomaly measurement at the current moment. It should be noted that negative correlation mapping is a technical means well known to those skilled in the art, and negative correlation mapping can be in the form of inverse proportion or negative exponential power, which is not limited here.

[0059] For the above steps, the pressure difference rising trend value reflects the degree of increase of the pressure difference parameter within the adjacent sampling time interval. The larger the pressure difference rising trend value, the more obvious the increase. Next, calculate the difference between the pressure difference rising trend value corresponding to the current sampling moment and the previous sampling moment in time series. This difference reflects the change of the pressure difference rising trend. The difference is negatively correlated. The larger the difference, the larger the trend anomaly measure, indicating that the higher the degree of filter performance anomaly, the greater the need to increase the preset pressure difference threshold.

[0060] In order to ensure the accuracy of backwashing, it is necessary to analyze the need to adjust the preset pressure difference threshold based on the real-time operating conditions of the backwash water filter. Considering that the increase in the inlet flow rate in the backwash water filter means that more water flows through the water filter, if the preset pressure difference threshold remains unchanged, then as the flow rate increases, the pressure difference inside the water filter may quickly reach the threshold, resulting in frequent backwashing operations. However, such frequent backwashing may interrupt the normal filtration process and reduce the filtration efficiency. Therefore, it is necessary to increase the preset pressure difference threshold so that the water filter can still maintain a certain filtration time at a higher flow rate, thereby maintaining the filtration efficiency. The water flow influence degree is used to reflect the need to increase the preset pressure difference threshold due to the increase in real-time water flow. Preferably, in one embodiment of the present invention, the method for obtaining the water flow influence degree includes:

[0061] The water flow influence degree at the current moment is obtained according to the overall distribution of the rising characteristics of the inlet flow values ​​at all sampling moments in the preset influence time period at the current moment.

[0062] Specifically, in one embodiment of the present invention, the method for obtaining the water flow influence degree includes:

[0063] In the preset influence time period of the current moment, the difference between each sampling moment and its previous inlet flow value is calculated to obtain the flow increase characteristic value of each sampling moment; in the preset influence time period of the current moment, the mean of the flow increase characteristic values ​​of all sampling moments is calculated; when the mean is not greater than 0, the water flow influence degree at the current moment is set to 0; when the mean is greater than 0, the mean is used as the water flow influence degree at the current moment.

[0064] In one embodiment of the present invention, a method for obtaining a preset impact time period at the current moment includes: using the time period corresponding to a preset number of sampling moments before the current moment as the preset impact time period at the current moment. In one embodiment of the present invention, the preset number is 5, and the implementer can set it according to the implementation scenario. It should be noted that the present invention analyzes the backwashing demand by analyzing the real-time operating conditions, thereby controlling the backwashing water filter. If a backwashing operation occurs in the preset impact time period at the current moment, the filtering capacity of the backwashing water filter is good at this time, and there is no need to perform a backwashing operation, that is, there is no need to calculate the adjusted pressure difference threshold and perform filter backwashing.

[0065] For the above steps, the flow increase characteristic value reflects the flow increase at the sampling moment, and the mean of the flow increase characteristic values ​​at all sampling moments is calculated, which reflects the average increase in flow during the preset impact time period. If the mean is not greater than 0, it means that the flow has not increased significantly during this period, and may even have decreased. Therefore, the water flow impact at the current moment is set to 0, indicating that there is no need to increase the preset pressure difference threshold due to water flow changes. If the mean is greater than 0, it means that the flow has increased during this period. At this time, this mean is used as the water flow impact at the current moment. The larger this value is, the more obvious the increase in flow is, and the higher the need to increase the preset pressure difference threshold.

[0066] Considering that during the operation of the backwash filter, due to the difference in the degree of accumulation of impurities at different positions of the filter screen caused by the design and placement of the filter, larger and heavier impurities may be deposited at a position closer to the water inlet, and the impurities will block the water flow, causing the pressure difference between the water inlet and the water outlet to increase rapidly. The purpose of increasing the preset pressure difference threshold is to reduce the false triggering of the backwash operation caused by impurity deposition and improve the accuracy and resource utilization efficiency of the backwash operation. The blocking metric is used to reflect the need to increase the preset pressure difference threshold due to real-time impurity distribution. See Figure 2 , which shows a flow chart of a method for obtaining a blocking metric in one embodiment of the present invention. Preferably, in one embodiment of the present invention, the method for obtaining a blocking metric includes:

[0067] Step S201: clustering all monitoring locations according to the difference between the flow rate monitoring vectors of every two monitoring locations to obtain various clusters.

[0068] By comparing the differences between the flow velocity monitoring vectors of the monitoring positions, the monitoring positions with similar flow velocity characteristics are classified into one category to form clusters. The monitoring positions within the clusters are similar in flow velocity size and direction, indicating that the monitoring positions are affected by impurity deposition to a similar extent.

[0069] Preferably, in one embodiment of the present invention, the method for obtaining clusters includes:

[0070] For the velocity monitoring vectors corresponding to any two monitoring positions, the cosine similarity of the two velocity monitoring vectors is negatively correlated to obtain the direction difference metric; the difference in the module lengths of the two velocity monitoring vectors is normalized to obtain the velocity value difference metric; the sum of the direction difference metric and the velocity value difference metric is calculated to obtain the distance metric value of each two monitoring positions;

[0071] Using the K-means clustering algorithm, all monitoring positions are clustered according to the distance measurement value between every two monitoring positions to obtain each cluster cluster. It should be noted that the K-means clustering algorithm and cosine similarity are technical means well known to those skilled in the art and will not be described in detail here. It should be noted that negative correlation mapping and normalization processing are both technical means well known to those skilled in the art. Negative correlation mapping can be in the form of inverse proportion or negative exponential power, and normalization processing can be linear normalization, etc., without limitation here.

[0072] For the above steps, cosine similarity measures the degree of similarity between two vectors in direction. The cosine similarity is negatively correlated to obtain the directional difference measure. The larger the directional difference measure, the greater the difference in direction between the velocity monitoring vectors corresponding to the two monitoring locations. The larger the velocity value difference measure, the greater the numerical difference between the velocity monitoring vectors corresponding to the two monitoring locations. The distance measure reflects the comprehensive difference in velocity magnitude and direction between the two monitoring locations. The clustering algorithm will classify monitoring locations with similar velocity characteristics into one category to form clusters. The monitoring locations within the cluster have similarities in velocity magnitude and direction, indicating that they may be affected by similar degrees of impurity deposition.

[0073] Step S202: Obtain the difference in flow velocity distribution of the clusters according to the difference between the flow velocity monitoring vectors of the cluster and its adjacent clusters.

[0074] The difference in the velocity monitoring vector between each cluster and its adjacent cluster is calculated. This difference is called the velocity distribution difference. The greater the velocity distribution difference, the greater the velocity difference between the cluster and its adjacent cluster, and the more likely there is an impurity accumulation area in the cluster.

[0075] Preferably, in one embodiment of the present invention, the method for obtaining the flow velocity distribution difference comprises:

[0076] Calculate the mean of the flow velocity monitoring vectors of all monitoring locations in the cluster to obtain the overall flow velocity vector of the cluster;

[0077] Take any cluster as the cluster to be analyzed, and take all clusters adjacent to the cluster to be analyzed in spatial distribution as the reference clusters of the cluster to be analyzed;

[0078] The Euclidean distance between the cluster center points of the cluster to be analyzed and its reference cluster is negatively correlated to obtain the distribution weight; the modulus of the difference between the overall velocity vector of the cluster to be analyzed and its reference cluster is calculated to obtain the distribution difference parameter; the product of the distribution weight and the distribution difference parameter is calculated to obtain the local distribution difference index between the cluster to be analyzed and its reference cluster;

[0079] The mean of the local distribution difference index between the cluster to be analyzed and all its reference clusters is calculated and normalized to obtain the velocity distribution difference of the cluster to be analyzed. Normalization is a technical means well known to those skilled in the art, and the normalization function can be linear normalization or standard normalization, etc. The specific normalization method is not limited here.

[0080] For the above steps, the overall velocity vector represents the average characteristics of the cluster in terms of velocity size and direction. The Euclidean distance between the cluster to be analyzed and the center point of each of its reference clusters is calculated. The Euclidean distance measures the relative distance between the two clusters in spatial position. The Euclidean distance is negatively correlated to obtain the distribution weight. The distribution weight reflects the degree of proximity between the two clusters in spatial position. The distribution difference parameter represents the comprehensive difference between the two clusters in terms of velocity size and direction. The distribution weight is multiplied by the distribution difference parameter to obtain the local distribution difference index between the cluster to be analyzed and each of its reference clusters. The larger the local distribution difference index, the greater the velocity difference between the cluster to be analyzed and the adjacent clusters. The mean of the local distribution difference index between the cluster to be analyzed and all its reference clusters is calculated to obtain the velocity distribution difference of the cluster to be analyzed. The velocity distribution difference represents the average difference in velocity distribution between the cluster to be analyzed and its adjacent clusters. The greater the velocity distribution difference, the greater the velocity difference between the cluster and its adjacent clusters, and the more likely it is that there is an impurity aggregation area in the cluster.

[0081] Step S203: Filter out a target cluster from all clusters according to the flow velocity distribution difference.

[0082] The target clusters are clusters with large velocity distribution differences, which means that the velocity size and direction inside these areas are significantly different from those in adjacent areas. This difference is usually caused by significant accumulation and deposition of impurities, so the target clusters reflect the areas where the velocity changes most dramatically inside the filter tube.

[0083] Preferably, in one embodiment of the present invention, among all clusters, the clusters whose flow rate distribution difference is greater than a preset flow rate threshold are marked as target clusters. In one embodiment of the present invention, the preset flow rate threshold is 0.57, which can be set by the implementer according to the implementation scenario.

[0084] Step S204: Obtain the blockage measure at the current moment according to the spatial distance between the target cluster and the inlet of the backwash filter.

[0085] The blockage metric at the current moment is calculated based on the spatial distance between the target cluster and the inlet of the backwash filter. The blockage metric quantifies the degree of accumulation of impurities near the inlet of the backwash filter.

[0086] Preferably, in one embodiment of the present invention, the Euclidean distance between the cluster center point of each target cluster and the inlet of the backwash filter is calculated to obtain the deviation from the inlet measurement of each target cluster; the mean of the deviation from the inlet measurement of all target clusters is calculated and negative correlation mapping is performed to obtain the blockage measurement at the current moment. It should be noted that the method for obtaining the cluster center point and the Euclidean distance are prior arts well known to those skilled in the art and will not be described in detail here.

[0087] For the above steps, the deviation entrance metric of the target cluster reflects the spatial distance between the target cluster and the water filter inlet, and the mean of the deviation entrance metrics of all target clusters is calculated. This mean represents the average deviation of all target clusters relative to the water filter inlet. The mean of the deviation entrance metrics of all target clusters is calculated and negatively correlated to obtain the blockage metric at the current moment. The blockage metric quantifies the degree of accumulation of impurities near the inlet of the backwash water filter while taking into account the differences in the degree of accumulation of impurities at different positions of the filter due to the design and placement of the water filter. Larger and heavier impurities may be deposited closer to the water inlet. Impurities will block the water flow, causing the pressure difference between the water inlet and the water outlet to increase rapidly. The preset pressure difference threshold needs to be increased to adapt to this change. The blockage metric reflects the need to increase the preset pressure difference threshold due to real-time impurity distribution.

[0088] Considering the trend anomaly metric to reflect the need for increasing the preset pressure difference threshold due to poor real-time filter performance; the water flow influence to reflect the need for increasing the preset pressure difference threshold due to increased real-time water flow; the blockage metric to reflect the need for increasing the preset pressure difference threshold due to real-time impurity distribution; integrating the trend anomaly metric, water flow influence and blockage metric at the current moment to obtain the adjustment demand at the current moment, the adjustment demand reflects the need for increasing the preset pressure difference threshold due to the real-time operating status of the backwash filter. Preferably, in one embodiment of the present invention, the method for adjusting the demand includes:

[0089] The product of the trend anomaly measure, the water flow impact and the obstruction measure at the current moment is calculated and normalized to obtain the adjustment demand at the current moment.

[0090] Step S3: According to the adjustment requirement at the current moment, the preset pressure difference threshold is adjusted, the adjusted pressure difference threshold of the backwash water filter at the current moment is obtained, and the backwash water filter is controlled.

[0091] The adjustment requirement reflects the demand of the real-time operation condition of the backwash water filter for increasing the preset pressure difference threshold. According to the adjustment requirement at the current moment, the preset pressure difference threshold is dynamically adjusted to meet the real-time operation condition of the backwash water filter, thereby ensuring the accuracy of backwashing.

[0092] In order to dynamically adjust the preset pressure difference threshold so that the adjusted pressure difference threshold meets the real-time operation requirements of the backwash water filter, preferably, in one embodiment of the present invention, the method for adjusting the pressure difference threshold includes:

[0093] The product of the adjustment demand and the preset adjustment value is calculated to obtain the target adjustment value at the current moment; the product of the target adjustment value at the current moment and the preset pressure difference threshold is calculated to obtain the adjusted pressure difference threshold of the backwash water filter at the current moment. In one embodiment of the present invention, the preset adjustment value is set to 1.2 based on the empirical value, and the preset pressure difference threshold is 30. The implementer can also set it according to the implementation scenario.

[0094] In order to control the backwashing water filter to perform backwashing treatment on the filter screen impurities, the real-time operation requirements of the backwashing water filter are met, thereby ensuring the accuracy of backwashing. Preferably, in one embodiment of the present invention, the method for controlling the backwashing water filter includes:

[0095] At the current moment, if the pressure difference parameter is not less than the adjusted pressure difference threshold, the backwash water filter is controlled to backwash the impurities in the filter; if the pressure difference parameter is less than the adjusted pressure difference threshold, the backwash water filter is controlled to perform water quality filtering.

[0096] In summary, the embodiment of the present invention provides a remote parameter self-regulation method based on a backwash water filter. First, according to the time series change of the corresponding pressure difference parameter at the current moment, the trend anomaly measurement at the current moment is obtained; according to the change of the inlet flow value in the preset influence time period at the current moment, the water flow influence degree at the current moment is obtained; according to the distribution difference of the flow rate monitoring vectors of all monitoring positions at the current moment, the blockage measurement at the current moment is obtained; the trend anomaly measurement at the current moment, the water flow influence degree and the blockage measurement at the current moment are integrated to obtain the adjustment demand degree at the current moment, adjust the preset pressure difference threshold, obtain the adjusted pressure difference threshold of the backwash water filter at the current moment and control the backwash water filter. The present invention dynamically adjusts the preset pressure difference threshold to meet the real-time operation requirements of the backwash water filter, thereby ensuring the accuracy of backwashing.

[0097] The present invention also proposes a remote parameter self-regulation system based on backwash water filter, please refer to Figure 3 , which shows a structure diagram of a remote parameter self-regulation system based on a backwash water filter provided by an embodiment of the present invention. The system includes: a data acquisition module 101, an adjustment demand analysis module 102 and an adjustment control module 103.

[0098] The data acquisition module 101 is used to obtain the pressure difference parameter, the inlet flow value and the flow rate monitoring vector at each monitoring position inside the backwash water filter at each sampling time.

[0099] The adjustment demand analysis module 102 is used to obtain the trend anomaly measurement at the current moment according to the time series change of the corresponding pressure difference parameter at the current moment; obtain the water flow impact at the current moment according to the change of the inlet flow value in the preset impact time period at the current moment; obtain the blockage measurement at the current moment according to the distribution difference of the flow rate monitoring vectors at all monitoring positions at the current moment; and obtain the adjustment demand at the current moment by fusing the trend anomaly measurement, water flow impact and blockage measurement at the current moment.

[0100] The adjustment control module 103 is used to adjust the preset pressure difference threshold according to the adjustment requirement at the current moment, obtain the adjusted pressure difference threshold of the backwash water filter at the current moment and control the backwash water filter.

[0101] It should be noted that: the system provided in the above embodiment is only illustrated by the division of the above functional modules. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the computer device is divided into different functional modules to complete all or part of the functions described above. In addition, the remote parameter self-regulation system based on backwashing water filter and the remote parameter self-regulation method embodiment based on backwashing water filter provided in the above embodiment belong to the same concept. The specific implementation process is detailed in the method embodiment and will not be repeated here.

[0102] It should be noted that the sequence of the above embodiments of the present invention is for description only and does not represent the advantages and disadvantages of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0103] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments.

Claims

1. A remote parameter self-regulation method based on backwash water filter, characterized in that: The method comprises: Obtain the pressure difference parameters, inlet flow value and flow rate monitoring vector of each monitoring position inside the backwash water filter at each sampling time; According to the change of the pressure difference parameter corresponding to the current moment with time series, the trend anomaly measurement at the current moment is obtained; according to the change of the inlet flow value in the preset influence time period at the current moment, the water flow influence degree at the current moment is obtained; according to the distribution difference of the flow rate monitoring vector at all monitoring positions at the current moment, the blockage measurement at the current moment is obtained; the trend anomaly measurement, the water flow influence degree and the blockage measurement at the current moment are integrated to obtain the adjustment demand degree at the current moment; According to the adjustment requirement at the current moment, the preset pressure difference threshold is adjusted, the adjusted pressure difference threshold of the backwash water filter at the current moment is obtained, and the backwash water filter is controlled.

2. According to claim 1, a remote parameter self-regulation method based on backwashing water filter is characterized in that: The method for obtaining the trend anomaly measurement includes: Calculate the difference between the pressure difference parameter corresponding to the sampling moment and the previous sampling moment in time sequence, and obtain the pressure difference rising trend value at the sampling moment; The difference between the current moment and the pressure difference rising trend value corresponding to the previous sampling moment in time series is calculated, and the difference is negatively correlated to obtain the trend anomaly measurement at the current moment.

3. According to claim 1, a remote parameter self-regulation method based on backwashing water filter is characterized in that: The method for obtaining the water flow influence degree includes: In the preset impact time period at the current moment, the difference between each sampling moment and the previous inlet flow value is calculated to obtain the flow increase characteristic value at each sampling moment; the mean of the flow increase characteristic values ​​at all sampling moments is calculated; when the mean is not greater than 0, the water flow impact degree at the current moment is set to 0; when the mean is greater than 0, the mean is used as the water flow impact degree at the current moment.

4. According to claim 1, a remote parameter self-regulation method based on backwashing water filter is characterized in that: The method for obtaining the blocking metric includes: According to the difference between the flow velocity monitoring vectors of every two monitoring positions, all monitoring positions are clustered to obtain various cluster clusters; According to the difference between the flow velocity monitoring vectors between the cluster and its adjacent cluster, the flow velocity distribution difference of the cluster is obtained; According to the flow velocity distribution difference, a target cluster is selected from all clusters; The blockage measure at the current moment is obtained according to the spatial distance between the target cluster and the inlet of the backwash filter.

5. According to claim 4, a remote parameter self-regulation method based on backwashing water filter is characterized in that: The method for obtaining the clusters includes: For any two monitoring positions corresponding to the flow velocity monitoring vectors, the cosine similarities of the two flow velocity monitoring vectors are negatively correlated to obtain a direction difference metric; the difference in the module lengths of the two flow velocity monitoring vectors is normalized to obtain a speed value difference metric; the sum of the direction difference metric and the speed value difference metric is calculated to obtain a distance metric value between every two monitoring positions; Using the K-means clustering algorithm, all monitoring locations are clustered according to the distance measurement value between every two monitoring locations to obtain each cluster.

6. A remote parameter self-regulation method based on backwashing water filter according to claim 4, characterized in that: The method for obtaining the flow velocity distribution difference comprises: Calculating the mean of the flow velocity monitoring vectors of all monitoring positions in the cluster to obtain the overall flow velocity vector of the cluster; Take any cluster as the cluster to be analyzed, and take all clusters adjacent to the cluster to be analyzed in spatial distribution as the reference clusters of the cluster to be analyzed; Negative correlation mapping is performed on the Euclidean distance between the cluster center points of the cluster to be analyzed and the reference cluster to obtain a distribution weight; the modulus of the difference between the overall velocity vector of the cluster to be analyzed and the reference cluster is calculated to obtain a distribution difference parameter; the product of the distribution weight and the distribution difference parameter is calculated to obtain a local distribution difference index between the cluster to be analyzed and the reference cluster; The mean of the local distribution difference index between the cluster to be analyzed and all the reference clusters is calculated to obtain the velocity distribution difference of the cluster to be analyzed.

7. A remote parameter self-regulation method based on backwashing water filter according to claim 4, characterized in that: The method for obtaining the blockage metric at the current moment according to the spatial distance between the target cluster and the inlet of the backwash water filter includes: The Euclidean distance between the cluster center point of each target cluster and the inlet of the backwash filter is calculated to obtain the deviation inlet measurement of each target cluster; the mean of the deviation inlet measurement of all target clusters is calculated and negative correlation mapping is performed to obtain the blockage measurement at the current moment.

8. The remote parameter self-regulation method based on backwashing water filter according to claim 1 is characterized in that: The method for adjusting the demand degree includes: The product of the trend anomaly measure, the water flow impact degree and the obstruction measure at the current moment is calculated and normalized to obtain the adjustment demand degree at the current moment.

9. A remote parameter self-regulation method based on backwashing water filter according to claim 1, characterized in that: The method for adjusting the pressure difference threshold comprises: The product of the adjustment requirement and the preset adjustment value is calculated to obtain the target adjustment value at the current moment; the product of the target adjustment value at the current moment and the preset pressure difference threshold is calculated to obtain the adjusted pressure difference threshold of the backwash filter at the current moment.

10. The remote parameter self-regulation method based on backwashing water filter according to claim 1, characterized in that: The method for controlling backwashing of a water filter comprises: At the current moment, if the pressure difference parameter is not less than the adjusted pressure difference threshold, the backwash water filter is controlled to backwash the impurities in the filter screen; if the pressure difference parameter is less than the adjusted pressure difference threshold, the backwash water filter is controlled to perform water quality filtration processing.

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