A negative pressure filter control system and method based on multi-scene application

By combining the number of swimmers and turbidity in the pool purification system to calculate the load coefficient, and adjusting the pump frequency and circulation cycle, the problem of inaccurate detection results in the existing technology is solved, achieving high-precision water quality management and low-power operation.

CN120960865BActive Publication Date: 2026-06-26GUANGDONG LASWIM WATER ENVIRONMENT EQUIP CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
GUANGDONG LASWIM WATER ENVIRONMENT EQUIP CO LTD
Filing Date
2025-08-11
Publication Date
2026-06-26

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Abstract

The application relates to a negative pressure filter control system and method based on multi-scene application, belonging to the technical field of pool filtration, which comprises a detection module, the detection module is used for acquiring the number of swimmers and turbidity and uploading to a control module, the control module calculates a load coefficient f according to the number of swimmers n and the turbidity z, the control module increases the starting frequency of a water pump when the load coefficient f exceeds f0, wherein f=(n / n0xk1+z / z0xk2) / (k1+k2), k1 and k2 are weight numbers, and the control module increases the starting frequency of the water pump when the load coefficient exceeds a threshold value; the application has the characteristics of accurate data collection and high detection precision.
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Description

Technical Field

[0001] This invention belongs to the field of water tank filtration technology, specifically relating to a negative pressure filter control system and method based on multi-scenario applications. Background Technology

[0002] Swimming pools, such as private pools, hotel club pools, and water park pools, all require water filtration. By dynamically adjusting parameters such as flow rate and filtration cycle, and combining them with IoT technology, remote monitoring and adaptive control can be achieved.

[0003] Commonly used purification methods require human judgment and execution, which is labor-intensive and lacks precise control. To address this, Chinese Patent CN113266178B discloses a swimming pool purification system and its control method. The system includes a controller and a primary filter, a first turbidity meter, a secondary filtration unit, and a second turbidity meter connected sequentially by a main pipeline. The two ends of the main pipeline are connected to the pool's inlet and outlet, respectively, forming a circulating purification system. The secondary filtration unit has a parallel-connected straight-through pipe, a filtration pipe, and a backwash pipe. Activating these pipes enables three modes: straight-through, filtration, and backwash self-cleaning. Both the first and second turbidity meters are communicatively connected to the controller to detect the turbidity value of the water connected to the main pipeline and transmit this value to the controller. The controller can then control the operating mode of the secondary filtration unit based on the turbidity value. This invention also provides a control method for the aforementioned swimming pool purification system, enabling precise and automated control of swimming pool water purification.

[0004] However, the above-mentioned solutions rely solely on turbidity values ​​to assess the pool environment, resulting in low accuracy. Therefore, a negative pressure filter control system and method with accurate data collection and high detection precision is needed for multi-scenario applications. Summary of the Invention

[0005] To address the aforementioned problems in the existing technology, this invention provides a negative pressure filter control system and method based on multi-scenario applications, which features accurate data collection and high detection precision.

[0006] The objective of this invention can be achieved through the following technical solutions:

[0007] A negative pressure filter control system for multi-scenario applications includes a detection module for acquiring and uploading data on the number of people in the pool and turbidity to a control module. The control module calculates a load factor based on the number of people and turbidity, and increases the pump start-up frequency when the load factor exceeds a threshold. As a preferred embodiment of this invention...

[0008] As a preferred embodiment of the present invention, the control module calculates the load coefficient f based on the number of people in the pool n and the turbidity z. When the load coefficient f exceeds f0, the control module increases the starting frequency of the water pump, where f = (n / d0×k1+z / z0×k2) / (k1+k2), k1 and k2 are weights, n0 is a pre-inputted reference value for the number of people, and z0 is a pre-inputted reference value for turbidity.

[0009] As a preferred embodiment of the present invention, the control module calculates k1 and k2 based on the number of people in the pool n and the turbidity z, where k1=(dn / dt) / d0, k2=Az / z0, and Az= t0 is a pre-input statistical constant, and z0 and d0 are pre-input reference values.

[0010] As a preferred embodiment of the present invention, the control module is pre-inputting several thresholds and adjustment coefficients corresponding to the thresholds. Each of the adjustment coefficients includes the pump start frequency and the cycle period. When the load coefficient exceeds a certain threshold, the control module adjusts the pump start frequency and cycle period to the values ​​corresponding to the threshold.

[0011] As a preferred embodiment of the present invention, the control module further includes a time acquisition module. The control module determines whether it is nighttime by using the time acquisition module. When the determination result is yes, the control module switches the water pump to single pump operation mode.

[0012] As a preferred embodiment of the present invention, it further includes an input panel, which is used to input the values ​​of t0, z0 and d0.

[0013] A negative pressure filter control method based on multi-scenario applications, applicable to the aforementioned negative pressure filter control system based on multi-scenario applications, further includes the following steps:

[0014] Step 1: The control module identifies pool attendees via the turnstile and obtains turbidity data;

[0015] Step 2: The control module calculates the load factor and determines the threshold that the load factor exceeds in the tiered threshold.

[0016] Step 3: The control module adjusts the water pump's starting frequency and cycle period to the values ​​corresponding to the threshold.

[0017] The beneficial effects of this invention are as follows:

[0018] (1) By having the control module calculate the load coefficient based on the number of people in the pool and the turbidity, the accuracy of the detection results is improved, which avoids the situation of low accuracy when judging the pool environment using a single data dimension.

[0019] (2) By increasing the pump start frequency when the load factor f exceeds f0, where f=(n / d0×k1+z / z0×k2) / (k1+k2), k1 and k2 are weights, the weights of turbidity and pool number of people in the load factor are modified in different environments, avoiding excessive reference to a certain parameter when the representativeness of a certain parameter for environmental demand is low, and further improving the accuracy of the detection results;

[0020] (3) By correcting the weight k1 through A1=(dn / dt) / d0, the load factor f=(n / n0×k1+Az / Az0×k2) / (k1+k2), Az= When the number of people in the pool changes rapidly and there is a high probability that it will have a delayed and significant impact on turbidity, the weight is increased. At the same time, the cumulative turbidity data over a period of time is used to avoid the statistical impact caused by uneven water quality, which further improves the accuracy of the test results.

[0021] (4) By setting several thresholds and a graded threshold system with adjustment coefficients corresponding to several thresholds, different water purification strategies are activated under different thresholds, which improves the fit between the water purification strategy and the actual situation.

[0022] (5) By setting the time acquisition module, the water pump is switched to single pump operation mode at night to achieve low power consumption operation when there are fewer users. Attached Figure Description

[0023] To facilitate understanding by those skilled in the art, the present invention will be further described below with reference to the accompanying drawings.

[0024] Figure 1 This is a block diagram of the control loop of the present invention;

[0025] Figure 2 This is a schematic diagram of the execution loop of the present invention. Detailed Implementation

[0026] To further illustrate the technical means and effects of the present invention in achieving its intended purpose, the following detailed description of the specific implementation methods, structures, features, and effects of the present invention, in conjunction with the accompanying drawings and preferred embodiments, is provided.

[0027] Please see Figure 1-2 A negative pressure filter control system based on multi-scenario applications includes a detection module, which is used to acquire the number of people in the pool and the turbidity and upload it to the control module. The control module calculates the load factor based on the number of people in the pool and the turbidity. When the load factor exceeds the threshold, the control module increases the starting frequency of the water pump.

[0028] In typical solutions, judging the pool environment solely based on turbidity values ​​results in low accuracy. Factors influencing the required filter power for a pool include not only turbidity but also the number of people in the pool. For example, the impact of increased real-time turbidity on turbidity often lags. Using only a single real-time turbidity index may lead to power increases only after turbidity has already risen, resulting in insufficient data collection accuracy and consequently, delayed adjustments.

[0029] Therefore, in this solution, after the control module obtains the number of people in the pool and the turbidity, it calculates the load factor based on the two environmental factors of the number of people in the pool and the turbidity. For example, when the turbidity of the pool is low, but a large number of users are about to enter the pool, causing the turbidity of the pool to rise rapidly in a short period of time, the monitoring module collects the number of people to calculate the load factor. Under the influence of the number of people, the load factor increases and exceeds the threshold. At this time, the control module directly increases the starting frequency of the water pump in advance based on the judgment result of exceeding the threshold. However, if only a single real-time turbidity is used for judgment, it will lead to the adjustment mechanism being triggered only when more users enter the pool and the turbidity in the pool rises.

[0030] At this point, it can be seen that by incorporating the number of people into the calculation of the load factor, the environmental monitoring becomes more in line with the actual situation, and the accuracy of the monitoring module for environmental monitoring is improved.

[0031] Therefore, by having the control module calculate the load coefficient based on the number of people in the pool and the turbidity, the judgment of the pool environment based on a single data dimension is avoided, which leads to low accuracy of the detection results and improves the accuracy of the detection results.

[0032] Specifically, the impact of turbidity and the number of people in the pool on pool pollution varies under different environments. For example, in some special cases, the flow of people is small, but the impact of a single user on the degree of pool pollution is large. For example, if the pool is located in an area with high air pollution or inadequate sanitation, users may have relatively more air pollutants or dirt on their bodies. Even if the number of users is small, these users bring dirt into the pool. In this case, it is necessary to adjust the weight of turbidity or the number of people in the pool in the calculation so that the data collection is more in line with the actual situation and avoids excessive reference to a certain parameter when the representativeness of a certain parameter is low for environmental needs. For this reason, in the above calculation of the load coefficient, the control module calculates the load coefficient f based on the number of people in the pool n and the turbidity z. When the load coefficient f exceeds f0, the control module increases the starting frequency of the water pump, where f=(n / m0×k1+z / z0×k2) / (k1+k2), k1 and k2 are weights, n0 is the pre-input reference value of the number of people, and z0 is the pre-input reference value of turbidity.

[0033] For example, in a normal environment, the impact of each user on turbidity tends to be average. In this case, it is necessary to take into account both the current turbidity and the number of people in the pool. In this environment, the values ​​of k1 and k2 are both assigned to 0.5. At this time, the number of people in the pool and turbidity have equal weights in the calculation of the load factor.

[0034] In areas with high air pollution or inadequate sanitation, the number of people in the pool will have a greater impact on the pool's turbidity. Therefore, the number of people in the pool needs to be considered more in the calculation of the load factor. In such environments, k1 is assigned a value of 0.75 and k2 is assigned a value of 0.25. At this time, the weight of the pool's load factor is relatively high.

[0035] By increasing the pump start frequency when the load factor f exceeds f0, where f = (n / d0×k1 + z / z0×k2) / (k1 + k2), and k1 and k2 are weights, the weights of turbidity and pool attendants in the load factor are modified under different environments. This avoids excessive reference to a certain parameter when its representativeness for environmental requirements is low, and further improves the accuracy of the detection results.

[0036] Even in a fixed location, the environment changes over time, and the weights of the number of people in the pool and turbidity in the load factor calculation need to be adjusted under different environments;

[0037] For example, when a large number of users arrive at the pool at the same time, the turbidity of the pool will increase significantly in a short period of time. At this time, it is necessary to pay more attention to the number of people in the pool, that is, to further increase the risk.

[0038] For example, when wind blows through a swimming pool, causing uneven distribution of pollutants, the pollutants around the detection module may change significantly in a short period of time. In this case, if only...

[0039] At this point, if operators need to manually assign values ​​to the weights, the level of automation is low, which may cause the load factor calculation method to fail to keep up with environmental changes, resulting in insufficient accuracy in environmental detection. Alternatively, if only real-time turbidity is used as the parameter for the turbidity part of the load factor, the load factor may be affected by random measurement errors.

[0040] Therefore, as a preferred scheme for weighted average calculation, when the instantaneous change rate of the number of people in the pool is large, indicating a high probability of a lagged and significant impact on turbidity, the weight of the number of people is increased. Simultaneously, for turbidity, it is necessary to avoid the statistical influence caused by uneven water quality. The control module calculates the load coefficient f based on the number of people in the pool n and the turbidity z, where f = (n / n0 × k1 × A1 + Az / Az0 × k2) / (k1 + k2), A1 = (dn / dt) / d0, k2 = 1 - k1 × A1, Az = ... t0 is the pre-inputted statistical time period length value, Az0 is the pre-inputted reference value, d0 is the pre-inputted rate of change reference value, 0.2≤k1×A1≤0.8, when the value of k1×A1 is less than 0.2, take k1×A1=0.2, when the value of k1×A1 is greater than 0.8, take k1×A1=0.8;

[0041] Specifically, each time the control module receives turbidity data, it stores the turbidity data in its built-in data storage and arranges it in reverse chronological order. Then, it generates a function f(t) that shows the change of turbidity over time.

[0042] At this point, (dn / dt) represents the rate of change of the number of people in the pool n over time. When the rate of change (dn / dt) is large, the weight k1×A1 increases accordingly, and k2 decreases accordingly. This results in a higher weight of the number of people in the pool n in the load factor calculation when the rate of change of the number of people is large; Az= The turbidity is the cumulative value over a period of time t0 in the past. Even if there are instantaneous differences, their impact on the cumulative value is small, thus reducing the statistical impact of uneven water quality.

[0043] By correcting the weight k1 using A1=(dn / dt) / d0, the load factor f=(n / n0×k1+Az / Az0×k2) / (k1+k2), Az= When the number of people in the pool changes rapidly and there is a high probability that this will have a significant and delayed impact on turbidity, the weighting is increased. At the same time, the cumulative turbidity data over a period of time is used to avoid the statistical impact of uneven water quality, thereby further improving the accuracy of the test results.

[0044] Specifically, if only one threshold is set for the load factor, and two adjustment levels are set for each threshold, there is a possibility that even if accurate detection results are obtained, it will be impossible to make adjustments that meet the requirements based on the detection data. For example, if the power of the adjustment level corresponding to the load factor exceeding the threshold is too high, the system will enter a high power consumption mode when the load factor slightly exceeds the threshold, which is beyond the requirements. On the other hand, if the power of the adjustment level corresponding to the load factor exceeding the threshold is too low, the load factor will exceed the threshold significantly, and the system will only enter a low power consumption mode, which is insufficient for the water pump to operate according to the water tank cleaning requirements.

[0045] Therefore, the control module is pre-input with several thresholds and adjustment coefficients corresponding to these thresholds. Each adjustment coefficient includes the pump start frequency and the cycle period. When the load coefficient exceeds a certain threshold, the control module adjusts the pump start frequency and cycle period to the values ​​corresponding to the threshold.

[0046] For example, there are three thresholds set, from low to high: the first threshold, the second threshold, and the third threshold. There are four states: below the first threshold, above the first threshold, above the second threshold, and above the third threshold. Four gears are set for each of the four states. When the load factor exceeds the second threshold but is below the third threshold, the control module adjusts the water pump to the third gear, thus completing the setting of the graded thresholds and the setting of the water purification strategy under different conditions.

[0047] In this embodiment, the first setting is a cycle period of 5 hours with a starting frequency of 30Hz, the second setting is a cycle period of 4 hours with a starting frequency of 37Hz, the third setting is a cycle period of 3.5 hours with a starting frequency of 43Hz, and the fourth setting is a cycle period of 3 hours with a starting frequency of 50Hz. Since the shorter the cycle period and the higher the starting frequency, the greater the water pump power and the better the water purification effect, the graded adjustment strategy corresponding to the four thresholds from low to high is completed at this time.

[0048] When making a judgment, there are x thresholds in total. The control module first judges whether the load factor exceeds the xth threshold, then judges whether the load factor exceeds the (x-1)th threshold, until one of the judgment results is yes. If all x judgment results are no, the control module judges that the load factor is lower than the first threshold.

[0049] By setting several thresholds and corresponding adjustment coefficients in a tiered threshold system, different water purification strategies are activated under different thresholds, thereby improving the alignment between the water purification strategy and the actual situation.

[0050] Generally, fewer people use the pool at night, so the power consumption of the water pump can be adjusted globally for the entire day. To this end, the control module also includes a time acquisition module. The control module uses the time acquisition module to determine whether it is nighttime. If the result is no, the control module determines to enter the daytime operation mode and switches to dual-pump operation. If the result is yes, the control module determines to enter the nighttime energy-saving mode and switches the water pump to single-pump operation mode to reduce power consumption during the nighttime period.

[0051] Optionally, the control module only performs load factor acquisition and threshold judgment when in daytime operation mode;

[0052] By setting the time acquisition module, the water pump is switched to single-pump operation mode at night, enabling low-power operation when there are fewer users.

[0053] To facilitate the input of the values ​​of t0, z0 and d0, an input panel is also included, which is used to input the values ​​of t0, z0 and d0; optionally, the input panel is also used to display the current gear of the water pump.

[0054] A negative pressure filter control method based on multi-scenario applications, applicable to the aforementioned negative pressure filter control system based on multi-scenario applications, further includes the following steps:

[0055] Step 1: The control module identifies pool attendees via the turnstile and obtains turbidity data;

[0056] Step 2: The control module calculates the load factor and determines the threshold that the load factor exceeds in the tiered threshold.

[0057] Step 3: The control module adjusts the water pump's starting frequency and cycle period to the values ​​corresponding to the threshold.

[0058] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any way. Although the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make some modifications or alterations to the above-disclosed technical content to create equivalent embodiments without departing from the scope of the present invention. Any simple modifications, equivalent changes and alterations made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the scope of the present invention.

Claims

1. A negative pressure filter control system for multi-scenario applications, characterized in that: It includes a detection module, which is used to acquire the number of people in the pool and the turbidity level and upload them to the control module. Each time the control module receives turbidity data, it stores the data in its built-in data storage and arranges it in reverse chronological order. It then generates a function f(t) representing the time-varying turbidity. The control module calculates the load factor F based on the number of swimmers (n) and the turbidity (z). When the load factor F exceeds f0, the control module increases the pump's starting frequency, where F = (n / n0 × k1 × A1 + Az / Az0 × k2) / (k1 + k2), A1 = (dn / dt) / d0, k2 = 1 - k1 × A1, and Az = ... t0 is the pre-inputted statistical time period length value, Az0 is the pre-inputted reference value, d0 is the pre-inputted rate of change reference value, k1 and k2 are weights, 0.2≤k1×A1≤0.8, when the value of k1×A1 is less than 0.2, k1×A1=0.2, when the value of k1×A1 is greater than 0.8, k1×A1=0.8, and n0 is the pre-inputted number of people reference value; The control module is pre-input with several graded thresholds and adjustment coefficients corresponding to each graded threshold. Each of the adjustment coefficients includes the pump start frequency and the cycle period. When the load coefficient exceeds a certain graded threshold, the control module adjusts the pump start frequency and the cycle period to the values ​​corresponding to the threshold.

2. The negative pressure filter control system based on multi-scenario applications according to claim 1, characterized in that: The control module also includes a time acquisition module. The control module uses the time acquisition module to determine whether it is nighttime. If the determination result is yes, the control module switches the water pump to single pump operation mode.

3. The negative pressure filter control system based on multi-scenario applications according to claim 1, characterized in that: It also includes an input panel for inputting the values ​​of t0 and d0.

4. A negative pressure filter control method based on multi-scenario applications, characterized in that: The negative pressure filter control system applicable to any one of claims 1 to 2, based on multi-scenario applications, further includes the following steps: Step 1: The control module uses the detection module to determine the number of people in the pool and obtains the turbidity and the number of people in the pool; Step 2: The control module calculates the load factor and determines the threshold that the load factor exceeds in the tiered threshold. Step 3: The control module adjusts the water pump's starting frequency and cycle period to values ​​corresponding to the threshold.