Direct drinking machine control method and system, intelligent terminal and storage medium

Abstract

The invention discloses a direct drinking machine control method and system, an intelligent terminal and a storage medium, and relates to the field of direct drinking machines, the direct drinking machine control method comprises a collection module used for collecting water quality characteristic parameters of a water inlet end, a filter cavity and a water outlet end of a direct drinking machine to generate a water quality collection signal; the sensing module is used for sensing operation load parameters and environment related parameters of the filter element of the direct drinking machine so as to generate a filter element working condition sensing signal; according to the invention, multi-dimensional water quality related data of inlet water, filtering process and outlet water are comprehensively captured, fusion operation is carried out in combination with filter element operation load and environment association conditions, the residual life of the filter element is accurately controlled, waste caused by premature replacement or influence on water quality due to overdue use is avoided, water quality abnormity and specific types are accurately identified, and the water quality monitoring accuracy is improved. And a filtering strategy is adjusted in a targeted manner.

Description

Technical Field

[0001] This invention relates to the field of direct drinking water machine technology, specifically to a direct drinking water machine control method, system, smart terminal, and storage medium. Background Technology

[0002] The direct drinking water machine uses technologies such as pretreatment, reverse osmosis membrane separation, and post-activated carbon adsorption to efficiently remove harmful impurities such as particulate matter, heavy metals, and bacteria from the raw water, while retaining an appropriate amount of beneficial minerals. The equipment supports instant heating and cooling functions, the outlet water temperature can be adjusted as needed, and it has intelligent water quality monitoring, automatic flushing, and water shortage protection mechanisms.

[0003] The invention patent application with application number 201611040680.5 discloses a water production control method for a direct drinking water machine. The application aims to solve the problem that "a float switch is generally installed in the water tank of a direct drinking water machine to control the water level in the water tank and the start and stop of the water purification unit. In actual use, the float switch may malfunction, causing the control module of the direct drinking water machine to be unable to control the water purification unit to stop producing water when there is enough water in the water tank".

[0004] However, for direct drinking water dispensers in public places such as shopping malls, which are used frequently, the lifespan of the filter cartridges is judged solely based on usage time or cumulative water output, without taking into account actual water quality parameters. This leads to excessive replacement of filter cartridges or use beyond their expiration date, failure to detect water quality abnormalities in a timely manner, lack of the ability to dynamically adjust the filtration process according to changes in water quality, and poor consistency in filtration effect.

[0005] To this end, we propose a control method, system, intelligent terminal, and storage medium for a direct drinking water machine. Summary of the Invention

[0006] In view of the above-mentioned shortcomings of the prior art, the present invention provides a direct drinking water machine control method, system, smart terminal and storage medium, which can effectively solve the problems of the prior art.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions;

[0008] In a first aspect, the present invention discloses a direct drinking water machine control system, comprising:

[0009] The system comprises the following modules: a data acquisition module for collecting water quality characteristic parameters from the water inlet, filter chamber, and outlet of the drinking water machine to generate water quality acquisition signals; a sensing module for sensing the operating load parameters and environmental parameters of the filter cartridge to generate filter cartridge condition sensing signals; a fusion module for receiving the water quality acquisition signals and filter cartridge condition sensing signals, performing fusion calculations on the two types of signals, and outputting fused data; a judgment module for constructing a filter cartridge lifespan judgment model based on the fused data, and outputting the filter cartridge remaining lifespan judgment result through model calculations; an identification module for extracting features and comparing thresholds from the water quality acquisition signals, and outputting water quality anomaly identification signals and anomaly type identifiers; and a control module for receiving the filter cartridge remaining lifespan judgment result and water quality anomaly identification signals, generating corresponding filtration process control commands, and driving the drinking water machine filtration mechanism to perform corresponding control actions.

[0010] The acquisition module is interconnected with the sensing module via a wireless network. The acquisition module and the sensing module are interconnected with the fusion module via a wireless network. The fusion module is interconnected with the determination module via a wireless network. The determination module is interconnected with the identification module via a wireless network. The determination module and the identification module are interconnected with the control module via a wireless network.

[0011] Furthermore, the water quality characteristic parameters collected by the acquisition module include turbidity, total dissolved solids content, organic matter concentration, and microbial colony count. The water quality acquisition signal is generated through a multi-dimensional parameter coupling method, and its coupling formula is as follows:

[0012] ;

[0013] In the formula: This represents the combined value of water quality acquisition signals. , , , These are the weighting coefficients for turbidity, total dissolved solids, organic matter concentration, and microbial colony count. The collected turbidity parameters; The total dissolved solids content parameter was collected. These are the collected organic matter concentration parameters; This refers to the number of microbial colonies collected.

[0014] Furthermore, the operating load parameters sensed by the sensing module include filter element filtration pressure difference, flow rate attenuation rate and cumulative interception, and environmental related parameters include inlet water temperature, inlet water pressure and ambient humidity;

[0015] The filter element operating condition sensing signal is generated through collaborative calculation of load and environment, and its calculation formula is as follows:

[0016] ;

[0017] In the formula: For the sensor signal value of the filter element's operating condition; These are the load factors for filtration pressure difference, flow rate attenuation rate, and cumulative retention, respectively. These are environmental factors, namely, inlet water temperature, inlet water pressure, and ambient humidity. This refers to the filter element's differential pressure parameter. This is the flow rate attenuation parameter; This is the cumulative retention parameter; This refers to the inlet water temperature parameter; These are the inlet water pressure parameters; This refers to the ambient humidity parameter. This is the working condition correction factor.

[0018] Furthermore, in the fusion operation stage of the fusion module, the water quality acquisition signal is first standardized to obtain a standardized water quality signal, then the filter element operating condition sensing signal is standardized to obtain a standardized operating condition signal, and finally the fused processing data is output through the fusion formula:

[0019] ;

[0020] In the formula: To integrate and process data; , For water quality signal fusion weights and operating condition signal fusion weights; To standardize water quality signals; Standardized operating condition signals; This is a nonlinear correction function for the water quality signal; This is a nonlinear correction function for the operating condition signal;

[0021] in, Standardization involves mapping the original signal values ​​to a preset range. , All are positive numbers, and their sum is 1.

[0022] Furthermore, the filter life determination model in the determination module is constructed based on the fused processing data and the initial performance parameters of the filter element, and its expression is:

[0023] ;

[0024] In the formula: This refers to the remaining lifespan of the filter element. These are the initial design life parameters for the filter element; This indicates the filter element has been in operation for a certain period of time. For integration variables; This is the filter element lifespan attenuation coefficient;

[0025] when When the filter element is below the preset lifespan threshold, the determination module outputs a result indicating that the filter element needs to be replaced.

[0026] Furthermore, the feature extraction operation during the operation phase of the recognition module includes:

[0027] Extract time-domain and frequency-domain features from water quality acquisition signals. Time-domain features include parameter change rate, peak value and mean value, while frequency-domain features include characteristic frequency amplitude and spectral centroid.

[0028] The threshold comparison stage follows the following:

[0029] ;

[0030] In the formula: This is the function value for determining water quality anomalies; , , , These are the collected turbidity parameters, total dissolved solids content parameters, organic matter concentration parameters, and microbial colony count parameters, respectively. , , , These are the preset standard values ​​for turbidity, total dissolved solids content, organic matter concentration, and microbial colony count, respectively.

[0031] when When the value exceeds the preset abnormal threshold, a water quality abnormality identification signal is output, and the corresponding abnormality type is marked according to the parameter type that exceeds the threshold. The abnormality types include abnormally high turbidity, abnormally high total dissolved solids content, abnormally high organic matter concentration, and abnormally high microbial contamination.

[0032] Furthermore, in the stage of generating filtration process control instructions, the control module constructs a control decision matrix based on the remaining lifespan of the filter element and the water quality anomaly judgment function value. The control instructions include filtration speed adjustment instructions, multi-stage filtration switching instructions, backwashing start instructions, and shutdown warning instructions.

[0033] When the remaining lifespan of the filter cartridge is within the preset lifespan range and the water quality abnormality judgment function value does not exceed the threshold, a filtration speed optimization command is output to match the filtration speed with the current water quality and filter cartridge operating conditions.

[0034] When the water quality anomaly judgment function value exceeds the threshold but does not reach the level of severe anomaly, a multi-level filtration switching command is output to activate additional filtration levels and enhance the filtration effect.

[0035] When the remaining lifespan of the filter cartridge falls below a preset lifespan threshold or the water quality anomaly detection function value reaches a severely abnormal level, a backwash start command or a shutdown warning command is output. The backwash duration and pressure corresponding to the backwash start command are based on fused processing data. Dynamic adjustment;

[0036] ;

[0037] In the formula: The backwash duration corresponding to the backwash start command; This is the base duration for backwashing; This is the duration adjustment factor; The backwash pressure corresponding to the backwash start command; This is the base pressure for backwashing; This is the pressure correction factor; This is the pressure constraint coefficient;

[0038] The filtration speed adjustment command, multi-stage filtration switching command, backwash start command, and shutdown warning command all originate from the control decision matrix.

[0039] Secondly, a method for controlling a direct drinking water machine includes:

[0040] The system collects turbidity, total dissolved solids content, organic matter concentration, and microbial colony count at the inlet, filter chamber, and outlet of the drinking water machine, generating water quality acquisition signals through multi-dimensional parameter coupling. It senses the operating load parameters and environmental parameters of the drinking water machine's filter cartridge to generate filter cartridge condition sensing signals. The system receives the water quality acquisition signals and filter cartridge condition sensing signals, processes them through normalization, and outputs fused data. Based on the fused data and the filter cartridge's initial performance parameters, it constructs a filter cartridge lifespan determination model and outputs the remaining lifespan determination result through model calculation. It extracts the time-domain and frequency-domain features of the water quality acquisition signals, outputs water quality anomaly identification signals and corresponding anomaly type identifiers through threshold comparison, and generates filtration process control commands based on the remaining lifespan determination result and the water quality anomaly identification signals, driving the drinking water machine's filtration mechanism to perform corresponding control actions.

[0041] Thirdly, a smart terminal includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the computer program is executed by the processor, it implements the execution steps of a direct drinking water machine control method or the operating program of a direct drinking water machine control system.

[0042] Fourthly, a storage medium storing a computer program, which, when executed by a processor, implements the execution steps of a direct drinking water machine control method or the operating program of a direct drinking water machine control system.

[0043] Compared with the known prior art, the technical solution provided by this invention has the following beneficial effects:

[0044] This invention comprehensively captures multi-dimensional water quality data related to the inlet, filtration process, and outlet water, and performs fusion calculations based on the filter cartridge's operating load and environmental conditions to accurately control the remaining lifespan of the filter cartridge, avoiding premature replacement that would lead to waste or excessive use that would affect water quality. At the same time, it accurately identifies water quality anomalies and their specific types, and adjusts the filtration strategy accordingly.

[0045] In addition, by dynamically optimizing the filtration speed, switching between multi-stage filtration modes, adapting backwashing time and pressure, or providing timely warnings and shutdowns, the system not only improves the filtration effect and water safety, but also optimizes filtration efficiency, reduces energy consumption, extends the overall service life of the equipment, and lowers usage and maintenance costs. It can also proactively avoid risks caused by serious water quality abnormalities or filter failure, thus making the direct drinking water machine operate more stably and intelligently, fully meeting users' needs for safe, convenient, and efficient operation of the equipment. Attached Figure Description

[0046] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without any creative effort.

[0047] Figure 1 This is a schematic diagram of the structure of a direct drinking water machine control system;

[0048] Figure 2 This is a flowchart illustrating a method for controlling a direct drinking water machine. Detailed Implementation

[0049] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0050] The present invention will be further described below with reference to embodiments.

[0051] Example 1:

[0052] This embodiment provides a direct drinking water machine control system, such as... Figure 1 As shown, it includes:

[0053] The data acquisition module is used to collect water quality characteristic parameters from the water inlet, filter chamber, and water outlet of the water purifier to generate water quality acquisition signals.

[0054] The water quality characteristic parameters collected by the acquisition module include turbidity, total dissolved solids content, organic matter concentration, and microbial colony count. The water quality acquisition signal is generated through multi-dimensional parameter coupling, and the coupling formula is as follows:

[0055] ;

[0056] In the formula: This represents the combined value of water quality acquisition signals. , , , These are the weighting coefficients for turbidity, total dissolved solids, organic matter concentration, and microbial colony count. The collected turbidity parameters; The total dissolved solids content parameter was collected. These are the collected organic matter concentration parameters; The parameter for the number of collected microbial colonies;

[0057] The above formula integrates four core water quality indicators: turbidity, total dissolved solids, organic matter concentration, and microbial colony count. It assigns a unique weight coefficient to each indicator and linearly couples the multi-dimensional water quality parameters. This can comprehensively and evenly reflect the overall water quality status of the inlet, filtration chamber, and outlet, avoiding the one-sidedness of single parameter evaluation and making the generated water quality collection signal more representative and valuable for reference.

[0058] in, , , , All are dynamically allocated based on the preset filtration standards and water quality safety level requirements of the direct drinking water machine, and , , , All are greater than zero, and , , , The sum is 1;

[0059] The sensing module is used to sense the operating load parameters and environmental parameters of the water purifier filter cartridge to generate filter cartridge operating condition sensing signals;

[0060] The sensing module senses operating load parameters including filter element filtration pressure difference, flow rate attenuation rate and cumulative interception, and environmental parameters including inlet water temperature, inlet water pressure and ambient humidity.

[0061] The filter element operating condition sensing signal is generated through collaborative calculation of load and environment, and its calculation formula is as follows:

[0062] ;

[0063] In the formula: For the sensor signal value of the filter element's operating condition; These are the load factors for filtration pressure difference, flow rate attenuation rate, and cumulative retention, respectively. These are environmental factors, namely, inlet water temperature, inlet water pressure, and ambient humidity. This refers to the filter element's differential pressure parameter. This is the flow rate attenuation parameter; This is the cumulative retention parameter; This refers to the inlet water temperature parameter; These are the inlet water pressure parameters; This refers to the ambient humidity parameter. This is the working condition correction factor;

[0064] The above formula uses core load parameters such as differential pressure, operating efficiency, and backflow flow rate during the operation of the filter element as the numerator, and key environmental parameters such as inlet water temperature, inlet water pressure, and ambient humidity as the denominator. By reasonably setting the weight coefficients of each parameter, the comprehensive influence of load factors and environmental factors on the filter element's operating condition is balanced, thereby accurately quantifying the real-time operating status of the filter element and providing basic data that fits the actual operating conditions for subsequent signal fusion.

[0065] in, The preset value range is [0.2, 0.4]. The higher the weight of the filter element filtration pressure difference on the working condition judgment, the larger the value; conversely, the smaller the value. The preset value range is [0.15, 0.35]. The higher the requirement for the stability of the water flow rate of the water purifier, the larger the value; conversely, the smaller the value. The preset value range is [0.25, 0.45]. The higher the sensitivity of the filter material to the cumulative amount of residue, the larger the value; conversely, the smaller the value.

[0066] The preset value range is [0.05, 0.15]. The larger the value is when the change in inlet water temperature has a more significant impact on the filter efficiency of the filter element, and vice versa. The preset value range is [0.08, 0.2]. The larger the fluctuation of the inlet water pressure and the more obvious the impact on the filter element load, the larger the value will be, and vice versa. The preset value range is [0.03, 0.12]. The larger the environmental humidity changes and the easier it is for the filter element to become damp and age, the larger the value will be, and vice versa.

[0067] The preset value range is [0.05, 0.3], and its value is positively correlated with the fluctuation range of inlet water temperature, inlet water pressure and ambient humidity.

[0068] Before the above formula is calculated, all operating load parameters and environmental related parameters are normalized to map each parameter to the same dimensionless interval to overcome the problem of inconsistent dimensions. Then, they are substituted into the above formula for calculation.

[0069] The fusion module is used to receive water quality acquisition signals and filter cartridge operating condition sensing signals, perform fusion calculations on the two types of signals, and output fused processing data.

[0070] In the fusion module's fusion operation phase, the water quality acquisition signal is first standardized to obtain a standardized water quality signal. Then, the filter cartridge operating condition sensing signal is standardized to obtain a standardized operating condition signal. Finally, the fused data is output using the fusion formula.

[0071] ;

[0072] In the formula: To integrate and process data; , For water quality signal fusion weights and operating condition signal fusion weights; To standardize water quality signals; Standardized operating condition signals; This is a nonlinear correction function for the water quality signal; This is a nonlinear correction function for the operating condition signal;

[0073] in, Standardization involves mapping the original signal values ​​to a preset range. , All are positive numbers, and their sum is 1;

[0074] The above formula first processes the normalized water quality acquisition signal and filter cartridge operating condition signal separately. It amplifies the effective features of the water quality signal through a logarithmic function and smooths the fluctuations of the filter cartridge operating condition signal with the help of the Sigmoid function. Then, it achieves nonlinear fusion of the two types of signals through weight allocation. This not only fully highlights the core influence of water quality and filter cartridge operating condition, but also depicts the intrinsic relationship between the two, effectively improving the accuracy and reliability of the fused data.

[0075] The determination module is used to build a filter cartridge life determination model based on the fused processing data, and output the filter cartridge remaining life determination result through model calculation.

[0076] The filter cartridge life determination model in the determination module is built based on fused processing data and initial performance parameters of the filter cartridge, and its expression is:

[0077] ;

[0078] In the formula: This refers to the remaining lifespan of the filter element. These are the initial design life parameters for the filter element; This indicates the filter element has been in operation for a certain period of time. For integration variables; This is the filter element lifespan attenuation coefficient;

[0079] The above formula is based on the initial design life of the filter element and the operating time. It introduces an attenuation coefficient that is negatively correlated with the pollution resistance of the filter element material, the pore size of the filter medium and the preset filtration accuracy. Through integral calculation, it dynamically considers the wear of the filter element during use, so that it can be flexibly adapted according to the characteristics of different filter elements, which is more in line with the actual wear law of the filter element and makes the determination of the remaining life more in line with the actual use scenario.

[0080] when When the filter element is below the preset lifespan threshold, the determination module outputs a result indicating that the filter element needs to be replaced.

[0081] in, The preset value range is [0.8, 1.2], and its value is negatively correlated with the pollution resistance of the filter material, the pore size of the filter medium, and the preset filtration accuracy.

[0082] The identification module is used to extract features and compare thresholds of water quality acquisition signals, and output water quality anomaly identification signals and anomaly type identifiers.

[0083] The feature extraction operations during the recognition module's runtime phase include:

[0084] Extract time-domain and frequency-domain features from water quality acquisition signals. Time-domain features include parameter change rate, peak value and mean value, while frequency-domain features include characteristic frequency amplitude and spectral centroid.

[0085] During the threshold comparison stage, the following applies:

[0086] ;

[0087] In the formula: This is the function value for determining water quality anomalies; , , , These are the collected turbidity parameters, total dissolved solids content parameters, organic matter concentration parameters, and microbial colony count parameters, respectively. , , , These are the preset standard values ​​for turbidity, total dissolved solids content, organic matter concentration, and microbial colony count, respectively.

[0088] The above formula compares and calculates the collected water quality parameters with the corresponding preset standard values, taking into account the deviations of turbidity, total dissolved solids content, organic matter concentration and microbial colony count. When the function value exceeds the preset abnormal threshold, it can not only quickly identify water quality abnormalities, but also directly label the abnormality category according to the specific parameter type that exceeds the threshold, providing a clear abnormality indication for the subsequent control module and improving the targeting of water quality abnormality treatment.

[0089] when When the value exceeds the preset abnormal threshold, a water quality abnormality identification signal is output, and the corresponding abnormality type is marked according to the parameter type that exceeds the threshold. The abnormality types include abnormally high turbidity, abnormally high total dissolved solids content, abnormally high organic matter concentration, and abnormally high microbial contamination.

[0090] The control module is used to receive the filter cartridge remaining life determination result and water quality abnormality identification signal, generate corresponding filtration process control instructions, and drive the direct drinking water machine filtration mechanism to perform corresponding control actions.

[0091] In the stage of generating filtration process control instructions by the control module, a control decision matrix is ​​constructed based on the remaining life of the filter element and the water quality anomaly judgment function value. The control instructions include filtration speed adjustment instructions, multi-stage filtration switching instructions, backwash start instructions, and shutdown warning instructions.

[0092] When the remaining lifespan of the filter cartridge is within the preset lifespan range and the water quality abnormality judgment function value does not exceed the threshold, a filtration speed optimization command is output to match the filtration speed with the current water quality and filter cartridge operating conditions.

[0093] When the water quality anomaly judgment function value exceeds the threshold but does not reach the level of severe anomaly, a multi-level filtration switching command is output to activate additional filtration levels and enhance the filtration effect.

[0094] When the remaining lifespan of the filter cartridge falls below the preset lifespan threshold or the water quality anomaly judgment function value reaches a severely abnormal level, a backwash start command or a shutdown warning command is output. The backwash duration and pressure corresponding to the backwash start command are based on fused processing data. Dynamic adjustment;

[0095] ;

[0096] In the formula: The backwash duration corresponding to the backwash start command; This is the base duration for backwashing; This is the duration adjustment factor; The backwash pressure corresponding to the backwash start command; This is the base pressure for backwashing; This is the pressure correction factor; This is the pressure constraint coefficient;

[0097] The above formula takes the basic backwashing time and pressure as the benchmark, and combines the water quality and filter element comprehensive working conditions reflected by the fusion processing data. It introduces a time adjustment coefficient that is positively correlated with the cumulative operating load of the filter element, a pressure correction coefficient that is positively correlated with the degree of water pollution, and a pressure constraint coefficient that is positively correlated with the upper limit of the preset backwashing pressure safety range. It dynamically calculates the actual backwashing time and pressure, thereby ensuring the flushing effect according to the degree of pollution and working conditions, and avoiding filter element damage caused by improper parameters.

[0098] The filtration speed adjustment command, multi-stage filtration switching command, backwash start command, and shutdown warning command all originate from the control decision matrix;

[0099] in, ∈[0.1, 0.8], positively correlated with the cumulative operating load of the filter element; The range ∈ [0.3, 1.2] is positively correlated with the degree of water pollution. ∈[0.8,1.5], which is positively correlated with the upper limit of the preset backwash pressure safety range;

[0100] The acquisition module is interconnected with the sensing module via a wireless network. The acquisition module and the sensing module are interconnected with the fusion module via a wireless network. The fusion module is interconnected with the judgment module via a wireless network. The judgment module is interconnected with the identification module via a wireless network. The judgment module and the identification module are interconnected with the control module via a wireless network.

[0101] In this embodiment, the acquisition module collects water quality characteristic parameters from the water inlet, filter chamber, and outlet of the drinking water machine to generate water quality acquisition signals. The sensing module then senses the operating load parameters and environmental parameters of the drinking water machine's filter cartridge to generate filter cartridge condition sensing signals. The fusion module further receives the water quality acquisition signals and the filter cartridge condition sensing signals, performs fusion calculations on the two types of signals, and outputs fused processing data. The judgment module then constructs a filter cartridge lifespan determination model based on the fused processing data, outputs the filter cartridge remaining lifespan determination result through model calculation, and performs feature extraction and threshold comparison on the water quality acquisition signals through the identification module to output water quality anomaly identification signals and anomaly type identifiers. Finally, the control module receives the filter cartridge remaining lifespan determination result and the water quality anomaly identification signal, generates corresponding filtration process control commands, and drives the drinking water machine's filtration mechanism to perform corresponding control actions.

[0102] The system in the above embodiments can accurately control the water quality of the inlet, filtration and outlet water and the operating status of the filter element, intelligently adapt to the filtration rhythm, dynamically adjust the backwashing parameters, effectively extend the service life of the filter element, promptly identify and respond to various water quality abnormalities, ensure that the outlet water meets safety standards, optimize filtration efficiency, reduce downtime due to malfunctions, and improve the stability and convenience of using the direct drinking water machine.

[0103] Application example:

[0104] The XX Shopping Center uses this system in its drinking fountains to ensure water quality and filter efficiency. During operation, the data acquisition module continuously collects data on turbidity, total dissolved solids, organic matter concentration, and microbial colony count at the inlet, filter chamber, and outlet. This multi-dimensional parameter coupling generates a water quality acquisition signal with a composite value of 8.2. The sensing module simultaneously captures filter operating load-related parameters (including differential pressure, filtration efficiency, and return flow rate) and environmental parameters (including inlet water temperature, inlet water pressure, and ambient humidity), generating a filter operating condition sensing signal value of 3.5.

[0105] After receiving the two types of signals mentioned above, the fusion module completes the fusion calculation and outputs fusion processing data 6.1. The judgment module calls the filter life judgment model, and combined with the filter's initial design life of 12 months, the actual situation of 6 months of operation, and a life decay coefficient of 1.0, calculates that the remaining life of the filter is 5.8 months. This value is higher than the preset life threshold of 3 months, and it is determined that the filter does not need to be replaced for the time being.

[0106] The identification module extracts time-domain features such as parameter change rate, peak value, and mean value, as well as frequency-domain features such as characteristic frequency amplitude and spectral centroid from the water quality acquisition signal. Through threshold comparison, it determines the water quality anomaly judgment function value to be 2.3, which does not exceed the preset anomaly threshold of 5.0, thus classifying the water quality as normal and indicating no anomaly type. Based on the filter cartridge's remaining lifespan meeting standards and the absence of water quality anomalies, the control module generates a filtration speed optimization command. The direct drinking water machine's filtration mechanism executes this command, precisely matching the filtration speed to the current water quality and filter cartridge operating conditions, continuously and stably outputting qualified direct drinking water.

[0107] Example 2:

[0108] At the implementation level, based on Example 1, this example refers to... Figure 2 A more detailed description of a direct drinking water machine control system in Example 1 is provided below:

[0109] A method for controlling a direct drinking water machine, comprising:

[0110] The system collects turbidity, total dissolved solids content, organic matter concentration, and microbial colony count at the water inlet, filter chamber, and water outlet of the drinking water machine, and generates water quality acquisition signals through multi-dimensional parameter coupling.

[0111] The system senses the operating load parameters and environmental parameters of the water purifier filter cartridge to generate a filter cartridge operating condition sensing signal.

[0112] It receives water quality acquisition signals and filter cartridge operating condition sensing signals, processes them through normalization, and outputs fused data through fusion calculation.

[0113] A filter life determination model is constructed based on fused data and initial performance parameters of the filter element, and the remaining life determination result of the filter element is output through model calculation.

[0114] Extract the time-domain and frequency-domain features of the water quality acquisition signal, and output the water quality anomaly identification signal and the corresponding anomaly type identifier through threshold comparison;

[0115] Based on the remaining lifespan of the filter cartridge and the water quality anomaly identification signal, a filtration process control command is generated to drive the direct drinking water machine's filtration mechanism to perform corresponding control actions.

[0116] Example 3:

[0117] At the implementation level, based on Examples 1 and 2, this example provides a further detailed description of a direct drinking water machine control system and method from Examples 1 and 2:

[0118] A smart terminal includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When executed by the processor, the computer program implements the execution steps of a direct drinking water machine control method or the operating program of a direct drinking water machine control system.

[0119] A storage medium storing a computer program, which, when executed by a processor, implements the execution steps of a direct drinking water machine control method or the operating program of a direct drinking water machine control system.

[0120] In summary, the system and method in the above embodiments comprehensively capture multi-dimensional water quality data related to the inlet water, filtration process, and outlet water. Combined with the filter cartridge's operating load and environmental factors, they perform fusion calculations to accurately control the remaining lifespan of the filter cartridge, avoiding premature replacement that leads to waste or water quality degradation due to overuse. Simultaneously, they accurately identify water quality anomalies and their specific types, allowing for targeted adjustments to the filtration strategy. Furthermore, by dynamically optimizing filtration speed, switching multi-stage filtration modes, adapting backwashing time and pressure, or providing timely warnings and shutdowns, they improve filtration effectiveness and water safety, optimize filtration efficiency, reduce energy consumption, extend the overall lifespan of the equipment, lower usage and maintenance costs, and proactively mitigate risks from severe water quality anomalies or filter cartridge failure. This results in a more stable and intelligent operation of the drinking water purifier, fully meeting users' needs for safe, convenient, and efficient water operation.

[0121] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A direct drinking water machine control system, characterized in that, include: The data acquisition module is used to collect water quality characteristic parameters from the water inlet, filter chamber, and water outlet of the water purifier to generate water quality acquisition signals. The sensing module is used to sense the operating load parameters and environmental parameters of the water purifier filter cartridge to generate filter cartridge operating condition sensing signals; The fusion module is used to receive water quality acquisition signals and filter cartridge operating condition sensing signals, perform fusion calculations on the two types of signals, and output fused processing data. The determination module is used to build a filter cartridge life determination model based on the fused processing data, and output the filter cartridge remaining life determination result through model calculation. The identification module is used to extract features and compare thresholds of water quality acquisition signals, and output water quality anomaly identification signals and anomaly type identifiers. The control module is used to receive the filter cartridge remaining life determination result and water quality abnormality identification signal, generate corresponding filtration process control instructions, and drive the direct drinking water machine filtration mechanism to perform corresponding control actions.

2. The direct drinking water machine control system according to claim 1, characterized in that, The water quality characteristic parameters collected by the acquisition module include turbidity, total dissolved solids content, organic matter concentration, and microbial colony count. The water quality acquisition signal is generated through a multi-dimensional parameter coupling method, and the coupling formula is as follows: ； In the formula: This represents the combined value of water quality acquisition signals. , , , These are the weighting coefficients for turbidity, total dissolved solids, organic matter concentration, and microbial colony count. The collected turbidity parameters; The total dissolved solids content parameter was collected. These are the collected organic matter concentration parameters; This refers to the number of microbial colonies collected.

3. The direct drinking water machine control system according to claim 1, characterized in that, The sensing module senses the following operating load parameters: filter element filtration pressure difference, flow rate attenuation rate, and cumulative interception; and the environmental parameters include inlet water temperature, inlet water pressure, and ambient humidity. The filter element operating condition sensing signal is generated through collaborative calculation of load and environment, and its calculation formula is as follows: ； In the formula: For the sensor signal value of the filter element's operating condition; These are the load factors for filtration pressure difference, flow rate attenuation rate, and cumulative retention, respectively. These are environmental factors, namely, inlet water temperature, inlet water pressure, and ambient humidity. This refers to the filter element's differential pressure parameter. This is the flow rate attenuation parameter; This is the cumulative retention parameter; This refers to the inlet water temperature parameter; These are the inlet water pressure parameters; This refers to the ambient humidity parameter. This is the working condition correction factor.

4. The direct drinking water machine control system according to claim 1, characterized in that, In the fusion module's fusion operation stage, the water quality acquisition signal is first standardized to obtain a standardized water quality signal, then the filter cartridge operating condition sensing signal is standardized to obtain a standardized operating condition signal, and finally, the fused data is output through a fusion formula. ； In the formula: To integrate and process data; , For water quality signal fusion weights and operating condition signal fusion weights; To standardize water quality signals; Standardized operating condition signals; This is a nonlinear correction function for the water quality signal; This is a nonlinear correction function for the operating condition signal; in, Standardization involves mapping the original signal values ​​to a preset range. , All are positive numbers, and their sum is 1.

5. A direct drinking water machine control system according to claim 1, characterized in that, The filter cartridge life determination model in the determination module is constructed based on fused processing data and initial performance parameters of the filter cartridge, and its expression is: ； In the formula: This refers to the remaining lifespan of the filter element. These are the initial design life parameters for the filter element; This indicates the filter element has been in operation for a certain period of time. For integration variables; This is the filter element lifespan attenuation coefficient; when When the filter element is below the preset lifespan threshold, the determination module outputs a result indicating that the filter element needs to be replaced.

6. A direct drinking water machine control system according to claim 1, characterized in that, The feature extraction operation during the operation phase of the recognition module includes: Extract time-domain and frequency-domain features from water quality acquisition signals. Time-domain features include parameter change rate, peak value and mean value, while frequency-domain features include characteristic frequency amplitude and spectral centroid. The threshold comparison stage follows the following: ； In the formula: This is the function value for determining water quality anomalies; , , , These are the collected turbidity parameters, total dissolved solids content parameters, organic matter concentration parameters, and microbial colony count parameters, respectively. , , , These are the preset standard values ​​for turbidity, total dissolved solids content, organic matter concentration, and microbial colony count, respectively. when When the value exceeds the preset abnormal threshold, a water quality abnormality identification signal is output, and the corresponding abnormality type is marked according to the parameter type that exceeds the threshold. The abnormality types include abnormally high turbidity, abnormally high total dissolved solids content, abnormally high organic matter concentration, and abnormally high microbial contamination.

7. A direct drinking water machine control system according to claim 1, characterized in that, The control module generates filtration process control instructions. Based on the remaining lifespan of the filter element and the water quality anomaly judgment function value, a control decision matrix is ​​constructed. The control instructions include filtration speed adjustment instructions, multi-stage filtration switching instructions, backwashing start instructions, and shutdown warning instructions. When the remaining lifespan of the filter cartridge is within the preset lifespan range and the water quality abnormality judgment function value does not exceed the threshold, a filtration speed optimization command is output to match the filtration speed with the current water quality and filter cartridge operating conditions. When the water quality anomaly judgment function value exceeds the threshold but does not reach the level of severe anomaly, a multi-level filtration switching command is output to activate additional filtration levels and enhance the filtration effect. When the remaining lifespan of the filter cartridge falls below a preset lifespan threshold or the water quality anomaly detection function value reaches a severely abnormal level, a backwash start command or a shutdown warning command is output. The backwash duration and pressure corresponding to the backwash start command are based on fused processing data. Dynamic adjustment; ； In the formula: The backwash duration corresponding to the backwash start command; This is the base duration for backwashing; This is the duration adjustment factor; The backwash pressure corresponding to the backwash start command; This is the base pressure for backwashing; This is the pressure correction factor; This is the pressure constraint coefficient; The filtration speed adjustment command, multi-stage filtration switching command, backwash start command, and shutdown warning command all originate from the control decision matrix.

8. A method for controlling a direct drinking water machine, wherein the method is an implementation method of a direct drinking water machine control system as described in any one of claims 1-7, characterized in that, include: The system collects turbidity, total dissolved solids content, organic matter concentration, and microbial colony count at the water inlet, filter chamber, and water outlet of the drinking water machine, and generates water quality acquisition signals through multi-dimensional parameter coupling. The system senses the operating load parameters and environmental parameters of the water purifier filter cartridge to generate a filter cartridge operating condition sensing signal. It receives water quality acquisition signals and filter cartridge operating condition sensing signals, processes them through normalization, and outputs fused data through fusion calculation. A filter life determination model is constructed based on fused data and initial performance parameters of the filter element, and the remaining life determination result of the filter element is output through model calculation. Extract the time-domain and frequency-domain features of the water quality acquisition signal, and output the water quality anomaly identification signal and the corresponding anomaly type identifier through threshold comparison; Based on the remaining lifespan of the filter cartridge and the water quality anomaly identification signal, a filtration process control command is generated to drive the direct drinking water machine's filtration mechanism to perform corresponding control actions.

9. A smart terminal, characterized in that, The terminal device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the computer program is executed by the processor, it implements the execution steps of the direct drinking water machine control method as described in claim 8, or implements the operating program of the direct drinking water machine control system as described in any one of claims 1 to 7.

10. A storage medium, characterized in that, The storage medium stores a computer program. When the computer program is executed by a processor, it implements the execution steps of the direct drinking water machine control method as described in claim 8, or implements the operating program of the direct drinking water machine control system as described in any one of claims 1 to 7.

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