Water outlet control system based on multi-parameter linkage
The multi-parameter linkage water outlet control system enables simultaneous improvement of water quality safety and equipment adaptability under complex operating conditions, solving the shortcomings of existing water outlet control technologies and ensuring the reliability of water outlet control and the stability of equipment operation.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- ENTROPY CLOUD BRAIN MACHINE (HANGZHOU) TECHNOLOGY CO LTD
- Filing Date
- 2026-01-21
- Publication Date
- 2026-04-17
AI Technical Summary
Existing drinking water equipment's water output control technology cannot dynamically adjust control standards through multi-dimensional operating condition data linkage, and cannot balance the safety of the output water quality with the adaptability of equipment operation under complex operating conditions.
By introducing multi-dimensional collaborative acquisition and linkage analysis of raw water quality parameters, purified water quality parameters, disinfection status parameters, sensor status parameters, and water usage intensity parameters, a dynamic water output control mechanism is constructed. Redundancy verification is performed through the sensor status perception module, the water output permissible threshold of the remaining life of the filter element is dynamically adjusted, and fine water output control is carried out under the linkage of multiple parameters.
To ensure the safety of effluent water quality under complex operating conditions, avoid overly conservative water outage strategies, improve equipment operational adaptability and filter element utilization, and enhance the reliability and operational adaptability of effluent control.
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Figure CN121879199A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of drinking water treatment technology, and in particular to an effluent control system based on multi-parameter linkage. Background Technology
[0002] Drinking water equipment has been widely used in various scenarios such as commercial offices, schools, and outdoor emergency response. Its water output control technology is directly related to water quality safety and equipment operating efficiency. However, in actual use, there are complex situations such as large fluctuations in raw water quality, uneven water usage intensity, and frequent extreme operating conditions, which puts forward higher requirements for the accuracy and adaptability of water output control.
[0003] Existing drinking water equipment water output control technology mainly adopts the logic of single parameter judgment and fixed threshold control. This type of method relies on only a few parameters to judge water output, ignoring the synergistic influence of multi-dimensional factors, and cannot accurately identify potential risks under complex operating conditions. At the same time, the fixed threshold cannot be dynamically adjusted according to the operating conditions. In the case of poor raw water, it is easy to cause water quality safety hazards due to excessive consumption of filter cartridges, while in the case of good raw water, it will cause waste of filter cartridge resources. In addition, when the sensor fails, there is no cross-validation mechanism based on multi-dimensional operating condition data. The judgment is based solely on the data of a single faulty sensor, directly prohibiting water output, which has a high probability of false water blocking. These defects are essentially due to the lack of a linkage mechanism of multi-dimensional operating condition data, which makes it impossible to dynamically adjust the control standards.
[0004] Existing drinking water equipment's water output control technology cannot dynamically adjust control standards through multi-dimensional operating condition data linkage, thus failing to address the technical problem of balancing water quality safety and equipment operational adaptability under complex operating conditions. Summary of the Invention
[0005] The purpose of this application is to at least solve one of the aforementioned technical defects, particularly the technical defect that existing drinking water equipment outlet control technology cannot dynamically adjust control standards through multi-dimensional operating condition data linkage, thus failing to balance the safety of outlet water quality and the adaptability of equipment operation under complex operating conditions.
[0006] This application provides a water effluent control system based on multi-parameter linkage, the system comprising:
[0007] The data acquisition module is used to collect raw water quality parameters, purified water quality parameters, disinfection status parameters, sensor status parameters, and water usage intensity parameters.
[0008] The sensor status perception module is used to analyze sensor status parameters, determine the fault results of each sensor, and when the fault result of the core sensor meets the redundancy verification conditions, perform redundancy verification on the faulty core sensor to obtain the redundancy verification result. The core sensor is the sensor that directly monitors water quality safety.
[0009] The dynamic threshold generation module is used to adjust the static threshold for the remaining life of the filter element based on the raw water quality parameters, the purified water quality parameters, and the water usage intensity parameters, so as to obtain the dynamic threshold for the remaining life of the filter element.
[0010] The water outlet control module is used to perform water outlet operation when the raw water quality parameters and disinfection status parameters meet the standards and the redundancy verification result is verified as passed, and the remaining life of the current filter cartridge is greater than the permissible dynamic threshold for water outlet.
[0011] In one embodiment, the sensor state sensing module includes:
[0012] The fault determination submodule is used to confirm that a fault exists in a sensor if the sensor's operating status is detected abnormally N times consecutively, where N is a positive integer.
[0013] The redundancy verification condition judgment submodule is used to count the number of faulty core sensors in each fault result. When the number of faulty core sensors meets the redundancy verification condition, a redundancy verification trigger command is generated.
[0014] The redundancy verification submodule, in response to the redundancy verification trigger command, determines the target fault-free sensor associated with the faulty core sensor, calculates the credibility of each target fault-free sensor, and obtains the total credibility of the faulty core sensor. When the total credibility is greater than or equal to a preset threshold, the redundancy verification result is that the verification is passed.
[0015] In one embodiment, the redundancy verification condition judgment submodule includes:
[0016] The redundancy verification condition judgment unit is used to determine that the redundancy verification condition is met and generate a redundancy verification trigger command if the number of faulty core sensors does not exceed a preset threshold. If the number of faulty core sensors exceeds the preset threshold, the redundancy verification condition is not met.
[0017] In one embodiment, the redundancy verification submodule includes:
[0018] The credibility assessment unit is used to acquire the monitoring parameters of each target fault-free sensor, and determine the credibility of the target fault-free sensor based on the monitoring parameters and its preset parameter threshold.
[0019] In one embodiment, the dynamic threshold generation module includes:
[0020] The coefficient calculation submodule is used to calculate the raw water quality coefficient, purified water quality coefficient, and water intensity coefficient based on the raw water quality parameters, purified water quality parameters, and water use intensity parameters.
[0021] The threshold adjustment submodule is used to determine the comprehensive correction amount by using the raw water quality coefficient, the purified water quality coefficient, and the water intensity coefficient, and to correct the static threshold of the remaining life of the filter element for water discharge based on the comprehensive correction amount, so as to obtain the dynamic threshold of water discharge.
[0022] In one embodiment, the coefficient calculation submodule includes:
[0023] The raw water quality coefficient calculation unit is used to determine each raw water proton coefficient based on the relationship between each raw water proton parameter and the corresponding water quality grade threshold in the raw water quality parameters, and select the raw water proton coefficient with the largest value as the raw water quality coefficient.
[0024] The effluent water quality coefficient calculation unit is used to determine the water proton coefficient of each purified water based on the changes of each purified water proton parameter within a preset time range, and to use the sum of the water proton coefficients of each purified water as the purified water quality coefficient.
[0025] The water intensity coefficient calculation unit is used to determine the water intensity coefficient based on the correspondence between water intensity parameters and preset water intensity levels.
[0026] In one embodiment, the water outlet control module includes:
[0027] The water discharge execution submodule is used to generate a water discharge command when a water discharge request is received, and send the water discharge command to the water discharge execution component so that the water discharge execution component switches from the off state to the on state.
[0028] In one embodiment, the water outlet control module further includes:
[0029] The water restriction execution submodule is used to generate a water restriction command and a water restriction prompt when the raw water quality parameters or disinfection status parameters do not meet the standards, or the redundancy verification result is a verification failure, or the current filter cartridge life is not greater than the water discharge permit dynamic threshold. The water restriction command is then sent to the water discharge execution component to keep the water discharge execution component in a closed state.
[0030] In one embodiment, the system further includes:
[0031] The water restriction recovery module is used to determine the type of water restriction cause, select the recovery detection parameter set and recovery judgment conditions corresponding to the type of water restriction cause, and continuously detect the recovery detection parameter set according to the recovery judgment conditions until the detection results meet the recovery judgment conditions. Then, it outputs a recovery permission command to lift the water restriction status.
[0032] In one embodiment, the system further includes:
[0033] The emergency power supply module is used to provide emergency power to the data acquisition module, sensor status perception module and water outlet control module when an abnormality is detected in the main power supply. It also outputs emergency power supply status information to the water outlet control module, enabling the water outlet control module to adjust the water outlet control strategy based on the emergency power supply status information, so as to limit the water outlet behavior under emergency power supply conditions.
[0034] As can be seen from the above technical solutions, the embodiments of this application have the following advantages:
[0035] The multi-parameter linkage-based water effluent control system provided in this application constructs a dynamic water effluent control mechanism for complex operating conditions by introducing multi-dimensional collaborative acquisition and linkage analysis of raw water quality parameters, purified water quality parameters, disinfection status parameters, sensor status parameters, and water usage intensity parameters. On the one hand, the sensor status perception module performs fault determination on core sensors that directly characterize water quality safety and performs redundancy verification when the redundancy verification conditions are met, effectively avoiding misjudgment of water effluent or accidental water stoppage caused by core sensor malfunctions, thus maintaining the reliability of water effluent decisions even in the event of sensor failure. On the other hand, the dynamic threshold generation module no longer uses a fixed filter cartridge remaining life threshold, but dynamically adjusts the permissible water effluent threshold by combining raw water quality, purified water quality, and current water usage intensity, enabling the water effluent control standard to adaptively evolve with changes in operating conditions. Based on this, the water effluent control module achieves refined water effluent control under multi-parameter linkage by uniformly determining water quality compliance status, disinfection effectiveness, sensor reliability, and filter cartridge compatibility status. Therefore, this application can not only continuously ensure the safety of the output water quality under complex operating conditions such as raw water fluctuations, water load changes, or sensor malfunctions, but also avoid the impact of overly conservative water outage strategies on equipment efficiency and filter utilization. Thus, it effectively solves the technical problem that existing drinking water equipment output water control technology is difficult to balance water quality safety and equipment operation adaptability under complex operating conditions, and achieves the effect of simultaneously improving the reliability of output water control and operational adaptability. Attached Figure Description
[0036] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0037] Figure 1 A schematic diagram of the structure of the water outlet control system based on multi-parameter linkage provided in the embodiments of this application;
[0038] Figure 2 This is a schematic diagram of the sensor state sensing module provided in an embodiment of this application;
[0039] Figure 3 This is a schematic diagram of the structure of the dynamic threshold generation module provided in an embodiment of this application. Detailed Implementation
[0040] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.
[0041] like Figure 1 As shown, this application provides a water effluent control system based on multi-parameter linkage, the system including:
[0042] The data acquisition module 110 is used to collect raw water quality parameters, purified water quality parameters, disinfection status parameters, sensor status parameters, and water usage intensity parameters.
[0043] Among them, raw water quality parameters refer to data indicators that reflect the objective water quality status of raw water entering the drinking water equipment before it has undergone purification treatment; purified water quality parameters refer to data indicators that reflect the objective quality status of the effluent formed after the raw water has undergone purification treatment; disinfection status parameters refer to operational data that reflect whether the disinfection process in the drinking water equipment is in an effective working state; sensor status parameters refer to data indicators that reflect the working status and data validity of various sensors involved in water quality detection and operation monitoring during the current operation process; and water usage intensity parameters refer to data indicators that reflect the changes in water usage frequency or water consumption of the drinking water equipment per unit time, and are used to characterize the load level of the equipment during actual use.
[0044] In the specific implementation process, the data acquisition module 110 is installed in the operation control system of the drinking water equipment. While the equipment is running continuously, it synchronously acquires data generated from multiple operational stages. By collecting relevant detection data during the water intake stage, raw water quality parameters are formed, enabling the equipment to promptly detect changes in the water source status when raw water quality fluctuates, providing basic data support for subsequent operational judgments. Simultaneously, after purification treatment is completed, purified water quality parameters are acquired through corresponding data acquisition methods, reflecting the actual improvement effect of the current purification process on the raw water, allowing for continuous monitoring of the equipment's operating status.
[0045] Building upon this, the data acquisition module 110 continuously acquires disinfection status parameters, which reflect the disinfection process's operation at different stages. By acquiring the disinfection status in real time, the equipment can incorporate the crucial factor of disinfection effectiveness into the effluent control process, thus avoiding ignoring the disinfection process status while relying solely on water quality testing results. As the equipment operates over a long period, the sensor's operating status may be affected by environmental changes, usage frequency, and component aging. The data acquisition module 110 synchronously acquires sensor status parameters to reflect whether the sensor's current operation is stable and whether the acquired data is valuable, thus providing a reliable basis for subsequent analysis and judgment based on sensor data.
[0046] Furthermore, in real-world usage scenarios, the water usage behavior of drinking water equipment exhibits distinct phases and fluctuations. The data acquisition module 110 collects behavioral data during the water usage process to generate a water usage intensity parameter, which reflects the water load borne by the equipment at different times. By incorporating the water usage intensity parameter into a unified data acquisition scope, the equipment's operating status can be kept consistent with the actual usage scenario, thereby avoiding the impact of data gaps on the accuracy of operational judgments under high-frequency or sudden water usage conditions.
[0047] By uniformly collecting raw water quality parameters, purified water quality parameters, disinfection status parameters, sensor status parameters, and water usage intensity parameters, drinking water equipment can simultaneously monitor the water source status, water treatment results, disinfection operation status, data acquisition reliability, and actual usage intensity during operation. This avoids the problem of insufficient information caused by relying on a single parameter for judgment. Since the collected data reflects the equipment's current true operating status from multiple perspectives, it provides a more comprehensive and stable data foundation for subsequent water output control, thereby improving the accuracy and reliability of operational judgments under conditions of water quality fluctuations or changes in water usage intensity.
[0048] The sensor status sensing module 120 is used to analyze sensor status parameters, determine the fault results of each sensor, and when the fault result of the core sensor meets the redundancy verification conditions, perform redundancy verification on the faulty core sensor to obtain the redundancy verification result. The core sensor is a sensor that directly monitors water quality safety.
[0049] Among them, the fault result refers to the judgment result obtained after analyzing the sensor status parameters, which is used to characterize whether the corresponding sensor is in an unusable state; the core sensor refers to the sensor directly used in drinking water equipment to monitor water quality safety-related parameters; the redundancy verification condition refers to the judgment condition used to trigger the alternative monitoring mechanism when the core sensor is determined to be unusable; the redundancy verification result refers to the verification conclusion obtained after replacing the original monitoring function with other available parameters when the core sensor is unavailable.
[0050] In practical implementation, the sensor status sensing module 120 continuously analyzes sensor status parameters during the operation of the drinking water equipment to determine the operating status of various sensors. When the sensor output data exhibits continuous abnormalities, interruptions, or distortions, a corresponding fault result is generated to indicate that the sensor can no longer provide reliable monitoring data. By continuously analyzing the sensor status, abnormal states can be identified in the early stages of sensor failure, preventing abnormal data from directly influencing subsequent operational decisions.
[0051] When the judgment result involves a core sensor, and the fault result of the core sensor meets the redundancy verification conditions, the sensor status sensing module 120 no longer relies on the output data of the core sensor. Instead, it performs a substitution analysis on the original monitoring function based on other relevant parameters that are still in normal working condition. This substitution process comprehensively judges the correlation between different parameters, enabling the water quality safety monitoring function originally performed by the core sensor to be indirectly realized even when the sensor is unavailable, thereby obtaining the corresponding redundancy verification result.
[0052] In real-world operating scenarios, drinking water equipment may experience sensor failures due to prolonged use, environmental changes, or unexpected operating conditions. Directly stopping water flow or ignoring relevant monitoring in such situations would compromise equipment safety or continuity of use. By introducing parameter substitution methods when core sensors are confirmed unavailable, water quality safety assessments are not entirely reliant on a single sensor, thus maintaining a basic ability to determine water quality safety even in sensor failure scenarios.
[0053] By analyzing the sensor status parameters to determine the fault results of each sensor, and when the core sensor directly monitoring water quality safety is determined to have failed and meets the redundancy verification conditions, a redundancy verification mechanism is introduced to replace its monitoring function. This avoids excessive reliance on a single core sensor in the water effluent control process. Since the judgment of water quality safety status can still be maintained based on other effective parameters even when the core sensor is unavailable, it prevents monitoring interruption or judgment failure due to sensor failure. This maintains the continuity and reliability of water effluent judgment under abnormal sensor operating conditions, reduces the risk of erroneous water stoppage or erroneous water dispensing, and improves the fault tolerance and operational stability of drinking water equipment under complex operating conditions.
[0054] The dynamic threshold generation module 130 is used to adjust the static threshold for the remaining life of the filter element based on the raw water quality parameters, the purified water quality parameters, and the water usage intensity parameters, so as to obtain the dynamic threshold for the remaining life of the filter element.
[0055] Among them, the static threshold for water discharge permission refers to a fixed threshold used to determine whether the remaining life of the filter element allows for continued water discharge without considering changes in operating conditions; the dynamic threshold for water discharge permission refers to a threshold for judging water discharge permission that is formed by adjusting the static threshold for water discharge permission in combination with the current operating parameters and can change with changes in operating conditions.
[0056] In practical implementation, the dynamic threshold generation module 130 continuously acquires raw water quality parameters, purified water quality parameters, and water usage intensity parameters during the operation of the drinking water equipment, and adjusts the water discharge permit judgment criteria based on these parameters for the remaining lifespan of the filter element. When the raw water quality changes, the analysis of the raw water quality parameters can reflect the change in the current raw water load on the filter element, thus providing a basis for adjusting the water discharge permit threshold. At the same time, the analysis of the purified water quality parameters can reflect the actual purification effect of the filter element under the current operating conditions, so that the water discharge permit judgment no longer relies solely on the theoretical lifespan of the filter element.
[0057] Building upon this, the dynamic threshold generation module 130 also incorporates water intensity parameters as a crucial reference factor for threshold adjustment. In high-frequency or high-flow-rate water use scenarios, the actual consumption rate of the filter cartridge may be significantly faster than under low-intensity usage conditions. By analyzing changes in water intensity, the permissible water discharge threshold can be dynamically adjusted according to changes in equipment load, thereby preventing the overuse of the filter cartridge due to the continued use of a fixed threshold under high load conditions. By comprehensively analyzing raw water quality parameters, purified water quality parameters, and water intensity parameters, the permissible water discharge threshold can better reflect the actual operating state of the equipment.
[0058] In actual operation, the consumption characteristics of filter cartridges exhibit obvious dynamic features as raw water conditions and usage habits change. By generating a dynamic threshold for permissible water output using the above method, the criterion for judging the remaining lifespan of the filter cartridge is no longer a single static value, but can be adjusted in real time according to changes in the operating environment and usage status, thereby improving the matching degree between the permissible water output judgment and the actual state of the filter cartridge.
[0059] By adjusting the criteria for judging the remaining lifespan of the filter cartridge based on a fixed static threshold for permissible water discharge, and by incorporating raw water quality parameters, purified water quality parameters, and water usage intensity parameters, the permissible water discharge threshold can dynamically change with variations in raw water conditions, differences in purification effects, and actual usage intensity. This avoids the problem of the static threshold not matching the actual consumption state of the filter cartridge under fluctuating raw water conditions or high-frequency water usage scenarios. Since the generated dynamic threshold for permissible water discharge more accurately reflects the actual usage state of the filter cartridge under current operating conditions, it can reduce the risk of misjudgment caused by overly conservative or overly lenient threshold settings, while ensuring water discharge safety requirements, thus improving the matching and adaptability between water discharge control and equipment operating status.
[0060] The water outlet control module 140 is used to perform water outlet operation when the raw water quality parameters and disinfection status parameters meet the standards and the redundancy verification result is verified as passed, and the remaining life of the current filter element is greater than the permissible dynamic threshold for water outlet.
[0061] In the specific implementation process, the water outlet module 140 receives raw water quality parameters, disinfection status parameters, redundancy verification results, and the current remaining lifespan of the filter cartridge during the operation of the drinking water equipment. Based on the above information, it makes a comprehensive judgment on whether to perform water outlet operation. When the raw water quality parameters are in compliance with standards and the disinfection status parameters indicate that the disinfection process is operating effectively, it means that the water source conditions and disinfection conditions meet the basic requirements for water outlet. On this basis, by judging the redundancy verification results, it is confirmed that the water quality safety status is still reliably guaranteed in the event of sensor malfunction, thereby avoiding blindly performing water outlet operation when the core monitoring sensor is unavailable.
[0062] After completing the above condition judgment, the water outlet module 140 further compares the current remaining lifespan of the filter cartridge with the dynamic threshold for permissible water outlet. When the current remaining lifespan of the filter cartridge is greater than the dynamic threshold for permissible water outlet, it indicates that under the current raw water conditions and usage intensity, the filter cartridge still has the processing capacity to meet the water outlet requirements, thereby triggering the water outlet operation. By incorporating the judgment of the remaining lifespan of the filter cartridge into the final water outlet control process, the water outlet decision not only depends on the immediate water quality and disinfection status, but also can be consistent with the actual usage status of the filter cartridge, thereby achieving more refined water outlet control.
[0063] In actual operation scenarios, drinking water equipment may face various situations such as raw water fluctuations, changes in disinfection status, and sensor malfunctions. By incorporating multiple judgment conditions into the water dispensing control logic in sequence, the water dispensing operation is based on multiple constraints, thereby ensuring that the water dispensing behavior matches the current operating status of the equipment and avoiding the execution of water dispensing operation when any key condition is not met.
[0064] By simultaneously assessing raw water quality parameters, disinfection status parameters, redundancy verification results, and remaining filter lifespan before discharging water, the system ensures that water discharging is based on water quality compliance, effective disinfection, reliable sensor readings, and matching filter capacity. This avoids judgment biases caused by relying on a single condition for discharging control. Since discharging is only permitted when the current remaining filter lifespan exceeds the permissible dynamic threshold, it prevents discharging when the filter capacity is insufficient. Furthermore, even in cases of sensor malfunction, the system maintains reliable discharging decisions based on redundancy verification results, effectively reducing the risk of erroneous discharging and improving the safety and stability of the drinking water equipment under complex operating conditions.
[0065] In the above embodiments, a dynamic water discharge control mechanism for complex operating conditions is constructed by introducing multi-dimensional collaborative acquisition and linkage analysis of raw water quality parameters, purified water quality parameters, disinfection status parameters, sensor status parameters, and water usage intensity parameters. On the one hand, the sensor status perception module performs fault determination on core sensors that directly characterize water quality safety and performs redundancy verification when the redundancy verification conditions are met, effectively avoiding misjudgment of water discharge or accidental water stoppage caused by core sensor malfunctions, thus maintaining the reliability of water discharge decisions even in the event of sensor failure. On the other hand, the dynamic threshold generation module no longer uses a fixed filter cartridge remaining life threshold, but dynamically adjusts the water discharge permit threshold by combining raw water quality, purified water quality, and current water usage intensity, enabling the water discharge control standard to adaptively evolve with changes in operating conditions. Based on this, the water discharge control module achieves refined water discharge control under multi-parameter linkage by uniformly determining water quality compliance status, disinfection effectiveness, sensor reliability, and filter cartridge compatibility status. Therefore, this application can not only continuously ensure the safety of the output water quality under complex operating conditions such as raw water fluctuations, water load changes, or sensor malfunctions, but also avoid the impact of overly conservative water outage strategies on equipment efficiency and filter utilization. Thus, it effectively solves the technical problem that existing drinking water equipment output water control technology is difficult to balance water quality safety and equipment operation adaptability under complex operating conditions, and achieves the effect of simultaneously improving the reliability of output water control and operational adaptability.
[0066] like Figure 2 As shown, in one embodiment, the sensor state sensing module 120 includes:
[0067] The fault determination submodule 121 is used to confirm that there is a fault in the sensor if the sensor’s operating status is detected abnormally N times consecutively, where N is a positive integer.
[0068] The redundancy verification condition judgment submodule 122 is used to count the number of faulty core sensors in each fault result, and generate a redundancy verification trigger command when the number of faulty core sensors meets the redundancy verification condition.
[0069] The redundancy verification submodule 123, in response to the redundancy verification trigger command, determines the target fault-free sensor associated with the faulty core sensor, calculates the credibility of each target fault-free sensor, and obtains the total credibility of the faulty core sensor. When the total credibility is greater than or equal to a preset threshold, the redundancy verification result is that the verification is passed.
[0070] Among them, abnormal operation status refers to data interruption, numerical distortion, or abnormal status of the sensor during operation; redundancy verification trigger command refers to the control command generated when the redundancy verification conditions are met to start the redundancy verification process; target fault-free sensor refers to a sensor that is not judged to be faulty in the current operation state and is related to the core sensor with fault in terms of the monitored object or parameter association; credibility refers to a quantitative index used to measure the reliability of the current operation state of the target fault-free sensor; the total credibility refers to the numerical result obtained by summing the credibility of multiple target fault-free sensors associated with a faulty core sensor.
[0071] In the specific implementation process, the fault determination submodule 121 continuously monitors the operating status of each sensor during the operation of the drinking water equipment and continuously records the detection results. When a sensor is identified as having an abnormal operating status in N consecutive detections, the fault result of that sensor is confirmed to be faulty. By introducing the number of consecutive detections as a judgment condition, erroneous judgments of sensor status due to instantaneous interference or short-term fluctuations can be avoided, making the formation of fault results more stable and reliable.
[0072] After confirming the fault results of each sensor, the redundancy verification condition judgment submodule 122 counts the number of core sensors that have been determined to be faulty. When the statistical result meets the pre-set redundancy verification conditions, a redundancy verification trigger command is generated, thereby initiating the subsequent redundancy verification process. By uniformly judging the number of core sensor faults, it can be ensured that redundancy verification is triggered only when necessary, avoiding frequent initiation of alternative verification processes in individual non-critical abnormal scenarios.
[0073] After the redundancy verification trigger command is generated, the redundancy verification submodule 123 responds to the trigger command. For each faulty core sensor, it identifies the corresponding target fault-free sensor in terms of its monitoring function or parameter correlation, and analyzes the current operating status of these target fault-free sensors to obtain their corresponding reliability. Based on this, the reliability of each target fault-free sensor is statistically summarized to form a total reliability, and the total reliability is compared with a preset threshold. When the total reliability is greater than or equal to the preset threshold, the redundancy verification result of the corresponding faulty core sensor is confirmed as passed, thus completing the replacement verification of the monitoring function of that core sensor.
[0074] Under long-term operation or complex working conditions of drinking water equipment, some core sensors may become unusable due to aging, contamination or environmental changes. Through the above implementation method, after confirming that the core sensor is indeed faulty, the original monitoring function can be replaced by the comprehensive reliability of multiple related sensors. This makes water quality safety related judgments no longer dependent on the output of a single sensor, thereby ensuring the continuity of the monitoring logic.
[0075] By employing continuous detection to confirm fault results, redundancy verification triggered based on the number of core sensors, and comprehensive judgment using the reliability of multiple target fault-free sensors, the sensor fault identification process is made more stable, the redundancy verification triggering more reasonable, and the verification results more reliable. Since redundancy verification is based on multi-sensor correlation analysis, it can maintain the continuity of monitoring and judgment even when core sensors fail, reducing the risk of false positives and false negatives, thereby improving the fault tolerance and operational reliability of drinking water equipment in complex operating environments.
[0076] In one embodiment, the redundancy verification condition judgment submodule 122 includes:
[0077] The redundancy verification condition judgment unit is used to determine that the redundancy verification condition is met and generate a redundancy verification trigger command if the number of faulty core sensors does not exceed a preset threshold. If the number of faulty core sensors exceeds the preset threshold, the redundancy verification condition is not met.
[0078] In the specific implementation process, the redundancy verification condition judgment unit counts the number of faulty core sensors in real time during the operation of the drinking water equipment and compares the statistical results with a preset number threshold. When the number of faulty core sensors does not exceed the preset number threshold, it indicates that the current core monitoring capability is still within a controllable range, and the basic judgment capability of water quality safety status can still be maintained through alternative verification methods. Therefore, it is determined that the redundancy verification condition is met, and a redundancy verification trigger command is generated to start the subsequent redundancy verification process.
[0079] When the number of faulty core sensors exceeds a preset threshold, it indicates a significant decline in the overall reliability of the core sensors currently used for monitoring water quality safety. In this case, relying on limited alternative verification may not guarantee the reliability of the judgment results. Therefore, the redundancy verification condition is determined not to be met, and no redundancy verification trigger command is generated. By imposing a threshold constraint on the number of faulty core sensors, the redundancy verification mechanism can be activated only when the monitoring capability is still maintainable, avoiding unreliable judgments when the core monitoring capability is severely impaired.
[0080] In the long-term operation or complex use environment of drinking water equipment, the core sensors may fail to varying degrees due to aging or environmental factors. Through the above implementation method, it is possible to dynamically determine whether it is appropriate to start the redundancy verification mechanism based on the overall failure scale of the core sensors, so that the redundancy verification decision matches the actual monitoring capability of the current equipment, thereby ensuring the rationality of the subsequent judgment process.
[0081] By introducing a comparison mechanism between the number of core sensor failures and a preset threshold, the triggering of redundancy verification has clear boundary conditions. This avoids prematurely abandoning alternative verification when only a small number of core sensors fail, and also prevents the continued activation of redundancy verification when core monitoring capabilities are severely insufficient. Since redundancy verification is only triggered when monitoring capabilities are still basically guaranteed, the reliability of alternative verification results can be improved, the risk of misjudgment can be reduced, and thus the operational safety and judgment reliability of drinking water equipment under abnormal sensor conditions can be enhanced.
[0082] In one embodiment, the redundancy verification submodule 123 includes:
[0083] The credibility assessment unit is used to acquire the monitoring parameters of each target fault-free sensor, and determine the credibility of the target fault-free sensor based on the monitoring parameters and its preset parameter threshold.
[0084] Among them, monitoring parameters refer to data indicators output by the target fault-free sensor during operation, which are used to reflect the status of the monitored object; preset parameter thresholds refer to reference ranges or limit standards set in advance for different types of monitoring parameters.
[0085] In the specific implementation process, during the operation of the drinking water equipment, the reliability assessment unit acquires the corresponding monitoring parameters for each target fault-free sensor and analyzes the current values of the monitoring parameters. By comparing the monitoring parameters with preset parameter thresholds, it can be determined whether the monitoring parameters are within a reasonable range, thus reflecting the working stability of the target fault-free sensor and the effectiveness of the monitoring results under the current operating environment. When the monitoring parameters are stable and continuously fall within the preset parameter threshold range, it can be determined that the target fault-free sensor has a high degree of reliability.
[0086] During operation, the target fault-free sensor may be affected by environmental changes or fluctuations in operating load, causing variations in its monitoring parameters. The reliability assessment unit continuously acquires monitoring parameters and combines them with preset parameter thresholds for judgment, enabling the reliability assessment results to be dynamically updated as the sensor's operating status changes. This avoids making biased judgments about sensor reliability based on a single detection result. In this way, the reliability assessment results can more accurately reflect the actual reliability level of the target fault-free sensor under current operating conditions.
[0087] In practical applications, when the core sensor fails, the target, fault-free sensor needs to take on the role of alternative monitoring. By assessing the reliability of the monitoring parameters of the target, fault-free sensor, the reliability of multiple available sensors can be distinguished, providing a quantitative basis for subsequent replacement decisions and ensuring that alternative monitoring is based on reliable data.
[0088] By employing a method that compares monitored parameters with preset parameter thresholds to assess the reliability of target fault-free sensors, the reliability results directly reflect the degree of matching between the sensor's current operating state and its reasonable operating range. Since the reliability assessment is based on real-time monitoring parameters, it avoids including unstable sensors in the alternative judgment process, thereby improving the reliability of alternative monitoring results, reducing the risk of misjudgment, and enhancing the stability and safety of the overall judgment process for drinking water equipment under abnormal sensor operating conditions.
[0089] like Figure 3 As shown, in one embodiment, the dynamic threshold generation module 130 includes:
[0090] The coefficient calculation submodule 131 is used to calculate the raw water quality coefficient, the purified water quality coefficient, and the water intensity coefficient based on the raw water quality parameters, the purified water quality parameters, and the water use intensity parameters.
[0091] The threshold adjustment submodule 132 is used to determine the comprehensive correction amount by using the raw water quality coefficient, the purified water quality coefficient and the water intensity coefficient, and to correct the static threshold of the remaining life of the filter element based on the comprehensive correction amount, so as to obtain the dynamic threshold of the water discharge permit.
[0092] Among them, the raw water quality coefficient is a quantitative value calculated based on the raw water quality parameters, used to reflect the degree of influence of raw water conditions on the life consumption of the filter element; the purified water quality coefficient is a quantitative value calculated based on the purified water quality parameters, used to reflect the changing trend of the filter element's purification effect; the water intensity coefficient is a quantitative value calculated based on the water intensity parameters, used to reflect the degree of influence of usage intensity on the life of the filter element; and the comprehensive correction amount is a correction result obtained by merging multiple coefficients.
[0093] During the operation of the drinking water equipment, the coefficient calculation submodule 131 can acquire the current raw water quality parameters, purified water quality parameters, and water usage intensity parameters within a preset calculation period. It then performs normalization or interval mapping on these parameters to eliminate the influence of dimensional differences between the parameters on the calculation results. Based on this, according to pre-set calculation rules, the processed raw water quality parameters are converted into raw water quality coefficients to reflect the degree of deviation of the current raw water conditions from the standard raw water state, thereby characterizing the actual consumption level of the filter cartridge by the raw water.
[0094] Simultaneously, the coefficient calculation submodule 131 generates a purified water quality coefficient based on the purified water quality parameters. By comparing the current parameters of the purified water with the target water quality range, it determines the changing trend of the filter cartridge's purification performance, reflecting the actual effectiveness of the filter cartridge's working state. Furthermore, by combining the time distribution characteristics of the water intensity parameter, a water intensity coefficient is calculated to quantify the increased wear and tear of the filter cartridge under high-frequency or high-load usage conditions. Through these methods, parallel quantitative characterization of the filter cartridge's state across different influencing dimensions is achieved.
[0095] After completing the calculation of various coefficients, the threshold adjustment submodule 132 receives the raw water quality coefficient, the purified water quality coefficient, and the water intensity coefficient, and performs weighted or combined calculations on each coefficient according to a preset fusion strategy to obtain a comprehensive correction amount. This comprehensive correction amount is used to reflect the overall trend of filter cartridge lifespan changes under current operating conditions. Based on this, the comprehensive correction amount is applied to the static threshold for permissible effluent, and the static threshold is dynamically corrected to obtain the dynamic threshold for permissible effluent, enabling the judgment result of the remaining filter cartridge lifespan to be adjusted in real time according to the actual operating status.
[0096] By calculating raw water quality parameters, purified water quality parameters, and water usage intensity parameters as raw water quality coefficients, purified water quality coefficients, and water usage intensity coefficients, respectively, and using these coefficients to determine a comprehensive correction amount, the static threshold for permissible effluent discharge based on the remaining lifespan of the filter cartridge is adjusted. This allows the permissible effluent threshold to be dynamically adjusted according to current raw water conditions, filter cartridge purification status, and actual usage intensity, thereby ensuring that the threshold judgment matches the actual consumption of the filter cartridge. Since the dynamic threshold for permissible effluent discharge reflects the actual processing capacity of the filter cartridge under different operating conditions, this implementation method can avoid misjudgments caused by fixed static thresholds under conditions of raw water fluctuations or high-frequency use, improving the accuracy and rationality of effluent control judgment, and ensuring the safety and stability of drinking water equipment under complex operating conditions.
[0097] In one embodiment, the coefficient calculation submodule 131 includes:
[0098] The raw water quality coefficient calculation unit is used to determine each raw water proton coefficient based on the relationship between each raw water proton parameter and the corresponding water quality grade threshold in the raw water quality parameters, and select the raw water proton coefficient with the largest value as the raw water quality coefficient.
[0099] The effluent water quality coefficient calculation unit is used to determine the water proton coefficient of each purified water based on the changes of each purified water proton parameter within a preset time range, and to use the sum of the water proton coefficients of each purified water as the purified water quality coefficient.
[0100] The water intensity coefficient calculation unit is used to determine the water intensity coefficient based on the correspondence between water intensity parameters and preset water intensity levels.
[0101] Among them, raw water proton parameters are specific sub-indicators of raw water quality parameters, such as TDS, turbidity, and residual chlorine; water quality grade thresholds are pre-set standard ranges or limits for each raw water proton parameter, used to evaluate the current water quality status; raw water proton coefficients are quantitative values calculated based on the relationship between each raw water proton parameter and its corresponding water quality grade threshold, used to reflect the relative impact of that sub-parameter on filter cartridge consumption; purified water proton parameters are specific sub-indicators of purified water quality parameters; purified water proton coefficients are quantitative values calculated based on the changes of purified water proton parameters within a preset time range; and preset water intensity level is a standard classification used to assess the current water intensity.
[0102] In practical implementation, the raw water quality coefficient calculation unit can compare each raw water proton parameter with its corresponding water quality grade threshold, converting the deviation of the parameter from the threshold into a quantitative coefficient to reflect the impact of that sub-parameter on filter cartridge lifespan. Selecting the largest value from multiple raw water proton parameters as the raw water quality coefficient ensures that the raw water characteristics most significantly affecting filter cartridge lifespan are fully reflected, making the filter cartridge lifespan assessment sensitive and reliable to extreme water quality changes.
[0103] The effluent water quality coefficient calculation unit can continuously acquire the changing trends of various purified water proton parameters within a preset time range, calculate the purified water proton coefficient based on parameter fluctuations, and then sum the various proton coefficients to obtain the purified water quality coefficient, which reflects the dynamic changes in the filter cartridge's purification effect over time. This calculation method can capture the filter cartridge's performance degradation or fluctuations, allowing the filter cartridge status assessment to consider not only instantaneous water quality but also short-term trends, thereby improving the accuracy of the judgment.
[0104] The water intensity coefficient calculation unit performs a corresponding analysis based on real-time water intensity parameters and preset water intensity levels to determine the water intensity coefficient. This coefficient is used to quantify the differences in filter cartridge lifespan consumption under different usage frequencies or water outputs, enabling the water output permit judgment to be adapted to the actual usage intensity and avoiding underestimating the risk of filter cartridge consumption under high-frequency water output conditions.
[0105] By comparing each raw water proton parameter with its corresponding water quality level threshold, the raw water proton coefficient is calculated, and the largest value is selected as the raw water quality coefficient. This ensures that the filter cartridge life assessment is sensitive to the most significant raw water influencing factors. By calculating each purified water proton coefficient based on the changes in purified water quality parameters within a preset time range and summing these coefficients, the purified water quality coefficient is obtained, comprehensively reflecting the dynamic changes in the filter cartridge's purification effect. By determining the water intensity coefficient based on the correspondence between water intensity parameters and preset water intensity levels, the impact of usage intensity on filter cartridge consumption can be quantified. This implementation method quantifies and comprehensively reflects the filter cartridge's working status using multi-dimensional information on raw water conditions, purification effect, and usage load. This allows subsequent filter cartridge life assessments and dynamic adjustments to the water discharge permit threshold to accurately adapt to actual operating conditions, thereby improving the reliability of water discharge control judgments and the safety and stability of drinking water equipment under complex operating conditions.
[0106] In one embodiment, the water outlet control module 140 includes:
[0107] The water discharge execution submodule is used to generate a water discharge command when a water discharge request is received, and send the water discharge command to the water discharge execution component so that the water discharge execution component switches from the off state to the on state.
[0108] Among them, the water dispensing request refers to the signal sent by the user operation or automatic control system to start dispensing water when the drinking water equipment receives it, which is used to instruct the equipment to perform the water dispensing operation; the water dispensing instruction is a control signal generated based on the water dispensing request, which is used to drive the water dispensing execution component to complete the water dispensing action; the water dispensing execution component is a mechanical or electrical control device that can control the water flow of the drinking water equipment. Its closed state indicates that the water flow is blocked, and its open state indicates that the water flow can flow out normally.
[0109] In practical implementation, the water dispensing execution submodule can quickly generate a corresponding water dispensing command when the drinking water equipment receives a water dispensing request, and send the command to the water dispensing execution component via an internal communication interface. Upon receiving the command, the water dispensing execution component switches from a closed state to an open state, enabling the equipment to output water. This switching process can be achieved by using electronic control signals to trigger valves or electromagnetic drive devices, or by combining mechanical linkage devices to achieve a rapid response of the water circuit switch, thereby ensuring the timeliness and reliability of the water dispensing operation.
[0110] In actual use of drinking water equipment, water dispensing requests may originate from user button presses or from automatic control logic. The water dispensing execution submodule ensures that water dispensing requests from different sources are reliably and consistently executed by uniformly generating and issuing water dispensing commands. Simultaneously, by clearly defining the switching logic between off and on states, it avoids water dispensing delays, dispensing failures, or abnormal water flow, ensuring a good user experience and safe equipment operation.
[0111] By generating a water dispensing command upon receiving a water dispensing request and sending it to the water dispensing execution component, the component can switch from an off state to an on state. This ensures that the drinking water equipment quickly and accurately executes the water dispensing operation under user operation or control logic triggering. This implementation method achieves timely response and stable execution of water dispensing actions, avoiding water dispensing delays or failures, and ensuring a high degree of consistency between the equipment's water flow output and control commands. This improves the reliability and safety of the drinking water equipment's water dispensing control, while also guaranteeing the user's water-feeding experience and the stable operation of the equipment under various operating conditions.
[0112] In one embodiment, the water outlet control module 140 further includes:
[0113] The water restriction execution submodule is used to generate a water restriction command and a water restriction prompt when the raw water quality parameters or disinfection status parameters do not meet the standards, or the redundancy verification result is a verification failure, or the current filter cartridge life is not greater than the water discharge permit dynamic threshold. The water restriction command is then sent to the water discharge execution component to keep the water discharge execution component in a closed state.
[0114] Among them, the water-stop command is a control signal used to keep the water outlet actuator in a closed state; the water-stop prompt information is information that informs the user or management system of the current water-stop status and the reason.
[0115] In practice, the water restriction execution submodule monitors raw water quality parameters and disinfection status parameters in real time. It then combines redundancy verification results with a comparison of the remaining filter lifespan and the dynamic threshold for permissible water discharge to make a comprehensive judgment on whether water discharge is permitted. When any condition fails to meet the water discharge requirements, the water restriction execution submodule generates a water restriction command and sends it to the water discharge execution component, keeping it closed. Simultaneously, it generates a water restriction warning message to display the reason for the restriction or to alert the user or control system, ensuring the user is aware of any abnormal water quality or equipment status. This process can be achieved by electronically triggering valves or actuators, while internal logic ensures that the water discharge execution component remains closed under multiple abnormal conditions.
[0116] By generating a water-blocking command and sending it to the water outlet actuator when raw water quality parameters or disinfection status parameters fail to meet standards, redundancy verification results fail, or the remaining lifespan of the current filter cartridge is less than the permissible dynamic threshold for water discharge, this system keeps the water outlet actuator in a closed state and provides a water-blocking warning message. This ensures that the drinking water equipment automatically stops discharging water when the water quality is unsafe, the filter cartridge lifespan is insufficient, or the sensor data is unreliable. This implementation method effectively prevents unqualified water from flowing out, ensuring drinking water safety. It also provides feedback to the user or management system regarding the specific reasons, improving the reliability and safety of equipment operation, while ensuring the accuracy and stability of water outlet control judgments under various complex operating conditions.
[0117] By generating a water-blocking command and sending it to the water outlet actuator when raw water quality parameters or disinfection status parameters fail to meet standards, redundancy verification results fail, or the remaining lifespan of the current filter cartridge is less than the permissible dynamic threshold for water discharge, this system keeps the water outlet actuator in a closed state and provides a water-blocking warning message. This ensures that the drinking water equipment automatically stops discharging water when the water quality is unsafe, the filter cartridge lifespan is insufficient, or the sensor data is unreliable. This implementation method effectively prevents unqualified water from flowing out, ensuring drinking water safety. It also provides feedback to the user or management system regarding the specific reasons, improving the reliability and safety of equipment operation, while ensuring the accuracy and stability of water outlet control judgments under various complex operating conditions.
[0118] In one embodiment, the system further includes:
[0119] The water restriction recovery module is used to determine the type of water restriction cause, select the recovery detection parameter set and recovery judgment conditions corresponding to the type of water restriction cause, and continuously detect the recovery detection parameter set according to the recovery judgment conditions until the detection results meet the recovery judgment conditions. Then, it outputs a recovery permission command to lift the water restriction status.
[0120] Among them, the water restriction reason type refers to the specific category of reasons that cause the drinking water equipment to enter the water restriction state, including raw water quality not meeting standards, abnormal disinfection status, insufficient filter life, or failure of sensor redundancy verification, etc.; the recovery detection parameter set is a set of various detection parameters corresponding to a specific water restriction reason type, used to determine whether the water restriction state can be lifted, such as raw water quality indicators, disinfection status indicators, filter life or sensor status indicators, etc.; the recovery judgment condition is a pre-set standard or threshold used to determine whether the detection parameters meet the requirements for lifting the water restriction; the recovery permission instruction is a control signal used to control the water outlet execution component to allow the resumption of water outlet operation.
[0121] In practice, the water restriction recovery module first identifies and analyzes the reasons why the drinking water equipment is currently in a water restriction state to determine the specific type of water restriction, such as substandard raw water quality, abnormal disinfection status, insufficient filter life, or failed sensor redundancy verification. Based on the identified type of water restriction, the recovery module can select a set of recovery detection parameters corresponding to that type. These parameters include various key indicators used to determine whether the water restriction can be lifted, such as raw water quality indicators, disinfection status indicators, remaining filter life, and sensor status information. Simultaneously, corresponding recovery judgment conditions are preset for each type of water restriction to determine whether each detection parameter meets the standard for allowing water dispensing operation to resume.
[0122] Subsequently, the water restriction recovery module continuously monitors and analyzes the set of recovery detection parameters according to the selected recovery judgment conditions. By collecting and processing the recovery detection parameters in real time, the module can dynamically determine whether the current parameters meet the conditions for lifting the water restriction. During the monitoring process, the water restriction recovery module can perform statistical and trend analysis on the detection data to ensure the accuracy and stability of the judgment and avoid misinterpreting the lifting of the water restriction status due to occasional abnormal data or instantaneous fluctuations. Monitoring continues until all recovery judgment conditions are met, ensuring that water release is only permitted when all safety conditions are fully satisfied.
[0123] When the recovery detection parameters meet the preset judgment conditions, the water restriction recovery module can generate a recovery permission command and output the command to the water outlet execution component, causing the water outlet execution component to switch from a kept-off state to a water-allowed state, thereby lifting the water restriction. Through the above implementation method, the drinking water equipment can make targeted recovery judgments under different types of water restriction conditions, achieving precise control over the conditions for lifting the water restriction. This method ensures that water outlet will not be accidentally restored when water quality is substandard, disinfection is insufficient, or the filter cartridge life is still low. Simultaneously, it can promptly restore normal water outlet when safety conditions are met, improving the safety and reliability of equipment operation and ensuring the user's drinking water safety and user experience.
[0124] By selecting the corresponding set of restoration detection parameters and restoration judgment conditions based on the type of water restriction reason, and continuously monitoring the parameter set until the judgment conditions are met to output a restoration permission command, it can be ensured that the drinking water equipment will only lift the water restriction state when the water quality meets the standards, the disinfection status is normal, the filter cartridge life is sufficient, or the sensor data is reliable. This method can accurately determine the restoration conditions, avoiding resuming water output when the water quality or equipment status is still unsafe, thereby ensuring drinking water safety, improving equipment operational reliability, and achieving safe and stable switching between water restriction and normal water output states under complex operating conditions.
[0125] In one embodiment, the system further includes:
[0126] The emergency power supply module is used to provide emergency power to the data acquisition module, sensor status perception module and water outlet control module when an abnormality is detected in the main power supply. It also outputs emergency power supply status information to the water outlet control module, enabling the water outlet control module to adjust the water outlet control strategy based on the emergency power supply status information, so as to limit the water outlet behavior under emergency power supply conditions.
[0127] Among them, "main power supply anomaly" refers to an interruption or instability in the power supply from the mains or conventional power source, which may lead to the equipment's inability to operate normally. "Emergency power supply status information" refers to the signals or data output by the emergency power supply module, used to inform the water outlet control module that the equipment is currently using emergency power and to prompt it to adjust its water outlet control strategy to adapt to the power-constrained state. "Water outlet control strategy adjustment" refers to the water outlet control module restricting or optimizing water outlet behavior based on the emergency power supply status information to extend the duration of emergency power supply and ensure the safe operation of the equipment.
[0128] In practical implementation, the emergency power supply module can immediately switch to emergency power supply mode when a main power supply anomaly is detected, via a built-in battery pack, supercapacitor, or other temporary power source. This provides necessary power to the data acquisition module, sensor status sensing module, and water output control module, enabling these modules to continue collecting water quality and sensor status data and executing water output control logic. The emergency power supply module can also generate emergency power supply status information and send it to the water output control module. Based on this information, the water output control module adjusts its water output behavior, such as limiting the water flow, reducing the water output frequency, or allowing water to be output only when safe conditions are met, thereby preventing abnormal water output control or equipment damage due to insufficient power. This process can be achieved through electronic switches, power management circuits, and data interfaces, while ensuring reliable operation of all functional modules in emergency power supply mode.
[0129] By providing emergency power to the data acquisition module, sensor status sensing module, and water dispensing control module when a main power supply anomaly is detected, and outputting emergency power supply status information to the water dispensing control module, the water dispensing control module can adjust its water dispensing strategy based on this status information. This ensures that the equipment can continue to monitor water quality and sensor status even in the event of power anomalies or interruptions, while simultaneously limiting water dispensing behavior to extend the duration of emergency power supply. This implementation method ensures that the equipment maintains the continuity of basic functions and water dispensing safety even when the main power supply is abnormal, improving the reliability and safety of drinking water equipment, and achieving stable and controllable water dispensing management under complex operating conditions.
[0130] Finally, it should be noted that in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element. In this document, "a," "an," "the," "the," and "its" may also include plural forms unless the context clearly indicates otherwise. "Multiple" refers to at least two, such as 2, 3, 5, or 8, etc. "And / or" includes any and all combinations of the related listed items.
[0131] The various embodiments in this specification are described in a progressive manner. Each embodiment focuses on the differences from other embodiments. The various embodiments can be combined as needed, and the same or similar parts can be referred to each other.
[0132] The above description of the disclosed embodiments enables those skilled in the art to make or use this application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this application. Therefore, this application is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims
1. A water effluent control system based on multi-parameter linkage, characterized in that, The system includes: The data acquisition module is used to collect raw water quality parameters, purified water quality parameters, disinfection status parameters, sensor status parameters, and water usage intensity parameters. The sensor status perception module is used to analyze the sensor status parameters, determine the fault results of each sensor, and when the fault result of the core sensor meets the redundancy verification conditions, perform redundancy verification on the core sensor with fault to obtain the redundancy verification result. The core sensor is a sensor that directly monitors water quality safety. The dynamic threshold generation module is used to adjust the static threshold for the remaining life of the filter element to obtain the dynamic threshold for the discharge water based on the raw water quality parameters, the purified water quality parameters, and the water usage intensity parameters. The water outlet control module is used to perform water outlet operation when the raw water quality parameters and the disinfection status parameters meet the standards and the redundancy verification result is verified as passed, and the remaining life of the current filter element is greater than the water outlet permissible dynamic threshold.
2. The water outlet control system based on multi-parameter linkage according to claim 1, characterized in that, The sensor state sensing module includes: The fault determination submodule is used to confirm that there is a fault in each sensor if the sensor's operating state is detected abnormally N times consecutively, where N is a positive integer. The redundancy verification condition judgment submodule is used to count the number of faulty core sensors in each of the fault results, and generate a redundancy verification trigger command when the number of faulty core sensors meets the redundancy verification condition. The redundancy verification submodule, in response to the redundancy verification trigger command, determines the target fault-free sensor associated with the faulty core sensor, calculates the credibility of each target fault-free sensor, and obtains the total credibility of the faulty core sensor. When the total credibility is greater than or equal to a preset threshold, the redundancy verification result is that the verification is passed.
3. The water outlet control system based on multi-parameter linkage according to claim 2, characterized in that, The redundancy verification condition judgment submodule includes: The redundancy verification condition judgment unit is used to determine that the redundancy verification condition is met if the number of faulty core sensors does not exceed a preset number threshold, and to generate the redundancy verification trigger command; if the number of faulty core sensors exceeds the preset number threshold, it is determined that the redundancy verification condition is not met.
4. The water outlet control system based on multi-parameter linkage according to claim 2, characterized in that, The redundancy verification submodule includes: The reliability assessment unit is used to acquire the monitoring parameters of each target fault-free sensor, and determine the reliability of the target fault-free sensor based on the monitoring parameters and its preset parameter threshold.
5. The water outlet control system based on multi-parameter linkage according to claim 1, characterized in that, The dynamic threshold generation module includes: The coefficient calculation submodule is used to calculate the raw water quality coefficient, the purified water quality coefficient, and the water intensity coefficient based on the raw water quality parameters, the purified water quality parameters, and the water intensity parameters. The threshold adjustment submodule is used to determine a comprehensive correction amount using the raw water quality coefficient, the purified water quality coefficient, and the water intensity coefficient, and to correct the static threshold for the remaining life of the filter element based on the comprehensive correction amount, so as to obtain the dynamic threshold for the remaining life of the filter element.
6. The water outlet control system based on multi-parameter linkage according to claim 5, characterized in that, The coefficient calculation submodule includes: The raw water quality coefficient calculation unit is used to determine each raw water proton coefficient based on the relationship between each raw water proton parameter and the corresponding water quality grade threshold in the raw water quality parameters, and select the raw water proton coefficient with the largest value as the raw water quality coefficient. The effluent water quality coefficient calculation unit is used to determine each purified water proton coefficient based on the changes of each purified water proton parameter within a preset time range, and to use the sum of each purified water proton coefficient as the purified water quality coefficient. A water intensity coefficient calculation unit is used to determine the water intensity coefficient based on the correspondence between the water intensity parameter and the preset water intensity level.
7. The water outlet control system based on multi-parameter linkage according to claim 1, characterized in that, The water outlet control module includes: The water discharge execution submodule is used to generate a water discharge command when a water discharge request is received, and send the water discharge command to the water discharge execution component so that the water discharge execution component switches from the off state to the on state.
8. The water outlet control system based on multi-parameter linkage according to claim 1, characterized in that, The water outlet control module also includes: The water restriction execution submodule is used to generate a water restriction command and a water restriction prompt when the raw water quality parameters or the disinfection status parameters do not meet the standards, or the redundancy verification result is a verification failure, or the remaining life of the current filter cartridge is not greater than the water discharge permit dynamic threshold. The water restriction command is then sent to the water discharge execution component to keep the water discharge execution component in a closed state.
9. The water outlet control system based on multi-parameter linkage according to claim 1, characterized in that, The system also includes: The water restriction recovery module is used to determine the type of water restriction cause, select the recovery detection parameter set and recovery judgment conditions corresponding to the water restriction cause type, and continuously detect the recovery detection parameter set according to the recovery judgment conditions until the detection result meets the recovery judgment conditions, and then output a recovery permission command to lift the water restriction state.
10. The water outlet control system based on multi-parameter linkage according to any one of claims 1 to 9, characterized in that, The system also includes: An emergency power supply module is used to provide emergency power to the data acquisition module, the sensor status sensing module, and the water outlet control module when an abnormality in the main power supply is detected, and to output emergency power supply status information to the water outlet control module, so that the water outlet control module can adjust the water outlet control strategy based on the emergency power supply status information to limit the water outlet behavior under emergency power supply conditions.