Failure detection method and device of capacitive deionization device and water household appliance

Abstract

The invention relates to the technical field of water treatment, and provides a failure detection method and device of a capacitive deionization device and a water household appliance, and the failure detection method of the capacitive deionization device comprises the following steps: obtaining a working state performance index parameter of the capacitive deionization device in a working process; and under the condition that the capacitive deionization device is determined to be in a suspected failure state based on the working state performance index parameters, determining a failure detection result of the capacitive deionization device based on the potential difference of the capacitive deionization device. According to the method, the capacitive deionization device is automatically detected in real time in a mode of firstly judging the suspected failure of the capacitive deionization device and then determining whether the capacitive deionization device really fails, manual intervention is not needed in the whole detection process, the accuracy and intelligence of a failure detection result are improved, and the detection efficiency is improved. And the reliability and the safety of the water household appliance in the use process are also improved.

Description

Technical Field

[0001] The present invention relates to the technical field of water treatment, and in particular to a failure detection method and device for a capacitor deionization device and water household electrical appliances. Background Art

[0002] Capacitive deionization technology is a new water treatment method that forms an electric double layer on the surface of the electrode to adsorb ions in the water, thereby purifying the water. Therefore, the application of capacitive deionization technology in under-sink water purifiers is becoming more and more widespread, such as by integrating it into a capacitive deionization device and setting it on the under-sink water purifier to purify the water. However, the capacitive deionization device may affect the water purification effect due to failure during long-term use. Therefore, how to detect whether the capacitive deionization device has failed is particularly important.

[0003] In the related art, whether the capacitor deionization device has failed is detected by regularly replacing the capacitor deionization device or manually testing the water quality. The accuracy and intelligence of the detection results are very low, which may easily lead to users still using the capacitor deionization device when it has failed, affecting drinking water safety. Summary of the invention

[0004] The present invention aims to solve at least one of the technical problems existing in the related art. To this end, the present invention proposes a failure detection method for a capacitor deionization device, which performs real-time and automatic detection of the capacitor deionization device by first determining that the capacitor deionization device is suspected of failure and then determining whether the capacitor deionization device is actually failed. No human intervention is required during the entire detection process, which not only improves the accuracy and intelligence of the failure detection result, but also improves the reliability and safety of water household appliances during use.

[0005] The invention also provides a water household electrical appliance.

[0006] The present invention also provides a failure detection device for a capacitive deionization device.

[0007] The invention also provides an electronic device.

[0008] The present invention also provides a non-transitory computer-readable storage medium.

[0009] A failure detection method for a capacitive deionization device according to an embodiment of the first aspect of the present invention includes: Obtaining working state performance index parameters of the capacitive deionization device during operation; When it is determined that the capacitive deionization device is in a suspected failure state based on the working state performance indicator parameter, a failure detection result of the capacitive deionization device is determined based on the potential difference of the capacitive deionization device.

[0010] According to the failure detection method of the capacitor deionization device of the embodiment of the present invention, the controller provided in the water appliance first determines whether the capacitor deionization device is suspected of failure based on the working state performance index parameters of the capacitor deionization device during operation, and further determines the final failure detection result of the capacitor deionization device based on the potential difference of the capacitor deionization device when it is determined that the capacitor deionization device is suspected of failure. In this way, the capacitor deionization device is detected in real time and automatically by first determining that the capacitor deionization device is suspected of failure and then determining whether the capacitor deionization device is actually failed. No manual intervention is required during the entire detection process, which not only improves the accuracy and intelligence of the failure detection results, but also improves the reliability and safety of the water appliance during use.

[0011] According to one embodiment of the present invention, the working state performance indicator parameter includes a current current-voltage curve of the capacitive deionization device and / or a current water quality of the capacitive deionization device, and determining that the capacitive deionization device is in a suspected failure state based on the target parameter includes: When the deviation between the current current-voltage curve and the preset current-voltage curve under normal working conditions exceeds a preset deviation threshold, and / or the current water quality exceeds a water quality threshold under normal working conditions, it is determined that the capacitive deionization device is in a suspected failure state.

[0012] According to one embodiment of the present invention, the working state performance indicator parameter includes a key performance indicator parameter of the capacitive deionization device, and determining that the capacitive deionization device is in a suspected failure state based on the target parameter further includes: When the key performance indicator parameter exceeds a preset indicator parameter threshold, it is determined that the capacitive deionization device is in a suspected failure state.

[0013] According to one embodiment of the present invention, the working state performance indicator parameter includes a current current-voltage curve of the capacitive deionization device, a current water quality of the capacitive deionization device, and a key performance indicator parameter of the capacitive deionization device, and determining that the capacitive deionization device is in a suspected failure state based on the target parameter further includes: When the deviation between the current current-voltage curve and the preset current-voltage curve under normal working conditions exceeds the preset deviation threshold and the key performance indicator parameter exceeds the preset indicator parameter threshold, it is determined that the capacitive deionization device is in a suspected failure state; or,

[0014] When the current water quality exceeds the water quality threshold under normal working conditions and the key performance indicator parameter exceeds the preset indicator parameter threshold, it is determined that the capacitive deionization device is in a suspected failure state; or,

[0015] When the deviation between the current current-voltage curve and the preset current-voltage curve exceeds the preset deviation threshold, the current water quality exceeds the water quality threshold, and the key performance indicator parameter exceeds the preset indicator parameter threshold, it is determined that the capacitive deionization device is in a suspected failure state.

[0016] According to one embodiment of the present invention, determining a failure detection result of the capacitive deionization device based on the potential difference of the capacitive deionization device includes: It is determined that the potential difference does not belong to the potential difference range under the normal working state, and the failure detection result is determined to be a confirmed failure.

[0017] According to one embodiment of the present invention, the method further includes: Obtaining the remaining service life of the capacitive deionization device; Determine that the failure detection result is confirmed failure, or the remaining service life is less than a preset remaining service life threshold, and control the output of an alarm message, wherein the alarm message is used to prompt a user to replace the capacitive deionization device.

[0018] According to one embodiment of the present invention, obtaining the remaining service life of the capacitive deionization device includes: Based on the current operating parameters of the capacitive deionization device and a pre-trained remaining life prediction model, the remaining service life of the capacitive deionization device is obtained.

[0019] According to one embodiment of the present invention, obtaining the remaining service life of the capacitive deionization device further includes: Sending the current operating parameters of the capacitive deionization device to a cloud server, and receiving the remaining service life fed back by the cloud server; The cloud server is used to determine the remaining useful life based on a pre-trained remaining useful life prediction model or a big data analysis model.

[0020] According to one embodiment of the present invention, the key performance indicator parameter includes at least one of the deionization efficiency, charge efficiency, energy consumption, and adsorption capacity of the capacitive deionization device.

[0021] According to a second aspect of the present invention, a water appliance comprises: an appliance body, a capacitive deionization device, a working parameter detection unit and a controller, wherein the controller is connected to the working parameter detection unit, and the capacitive deionization device, the controller and the working parameter detection unit are all arranged on the appliance body; The capacitive deionization device is used to purify ions in water; The working parameter detection unit is used to detect the working state parameters of the capacitive deionization device during operation; The controller is used to obtain the working state parameters and the key performance indicator parameters of the capacitive deionization device, and execute the failure detection method of the capacitive deionization device as described in the first aspect.

[0022] According to the water appliance of the embodiment of the present invention, the controller first determines whether the capacitor deionization device is suspected of failure based on the working state performance index parameters of the capacitor deionization device during operation, and further determines the final failure detection result of the capacitor deionization device based on the potential difference of the capacitor deionization device when it is determined that the capacitor deionization device is suspected of failure. In this way, the capacitor deionization device is detected in real time and automatically by first determining that the capacitor deionization device is suspected of failure and then determining whether the capacitor deionization device is actually failed. No manual intervention is required during the entire detection process, which not only improves the accuracy and intelligence of the failure detection results, but also improves the reliability and safety of the water appliance during use.

[0023] According to one embodiment of the present invention, the working parameter detection unit includes a voltage detection unit, a current detection unit, a reference electrode, a concentration detection unit, a potential difference detection unit and a conductivity sensor, the reference electrode is inserted at the water inlet of the capacitive deionization device, the conductivity sensor is arranged at the water inlet and the water outlet of the capacitive deionization device, the voltage detection unit, the current detection unit, the concentration detection unit and the potential difference detection unit are respectively connected to the controller; the conductivity sensor and the reference electrode are not in contact with each other; The voltage detection unit is used to detect the operating voltage of the capacitive deionization device; The current detection unit is used to detect the working current of the capacitive deionization device; The reference electrode is used to provide a reference potential for the capacitive deionization device; The concentration detection unit is used to detect the inlet ion concentration and outlet ion concentration of the capacitive deionization device; The potential difference detection unit is used to detect the potential difference between the working electrode of the capacitive deionization device and the reference electrode, wherein the potential difference is the difference between the working potential detected by the working electrode and the reference potential; The conductivity sensor is used to detect the current water quality of the capacitive deionization device; The controller is used to draw a current current-voltage curve of the capacitive deionization device based on multiple working voltages and multiple working currents within a preset time period, calculate key performance indicator parameters of the capacitive deionization device based on the inlet water ion concentration and the outlet water ion concentration, and determine at least one of the current current-voltage curve, the current water quality and the key performance indicator parameters as the working state performance indicator parameters; and is used to determine a failure detection result of the capacitive deionization device based on the potential difference of the capacitive deionization device when it is determined that the capacitive deionization device is in a suspected failure state based on the working state performance indicator parameters.

[0024] According to one embodiment of the present invention, it further includes a memory, an alarm unit and a wireless communication unit, wherein the memory, the alarm unit and the wireless communication unit are respectively connected to the controller; The memory is used to store the operating parameter samples required for training the remaining life prediction model; The wireless communication unit is used to send the current operating parameters of the capacitive deionization device to the cloud server, and feed back the remaining service life predicted by the cloud server based on the current operating parameters to the controller; The alarm unit is used to determine that the failure detection result of the capacitive deionization device is confirmed failure, or the remaining service life of the capacitive deionization device is less than a preset remaining service life threshold, and output alarm information.

[0025] According to one embodiment of the present invention, it further comprises a display screen, wherein the display screen is arranged on the outer surface of the device body; The display screen is used to display at least one of the working status, key performance indicator parameters and remaining service life of the capacitive deionization device.

[0026] A failure detection device for a capacitive deionization device according to an embodiment of the third aspect of the present invention comprises: A parameter acquisition module is used to obtain working state performance index parameters of the capacitive deionization device during operation; The failure detection module is used to determine the failure detection result of the capacitive deionization device based on the potential difference of the capacitive deionization device when it is determined that the capacitive deionization device is in a suspected failure state based on the working state performance indicator parameter.

[0027] According to the failure detection device of the capacitor deionization device provided by the embodiment of the present invention, firstly, it is judged whether the capacitor deionization device is suspected of failure based on the working state performance index parameters of the capacitor deionization device during operation, and when it is determined that the capacitor deionization device is suspected of failure, the final failure detection result of the capacitor deionization device is further determined based on the potential difference of the capacitor deionization device. In this way, the capacitor deionization device is detected in real time and automatically by first determining that the capacitor deionization device is suspected of failure and then determining whether the capacitor deionization device is actually failed. No manual intervention is required during the entire detection process, which not only improves the accuracy and intelligence of the failure detection results, but also improves the reliability and safety of water appliances during use.

[0028] The above one or more technical solutions in the embodiments of the present invention have at least one of the following technical effects: the controller provided in the water appliance first determines whether the capacitor deionization device is suspected of failure based on the working state performance index parameters of the capacitor deionization device during operation, and further determines the final failure detection result of the capacitor deionization device based on the potential difference of the capacitor deionization device when determining that the capacitor deionization device is suspected of failure. In this way, the capacitor deionization device is detected in real time and automatically by first determining that the capacitor deionization device is suspected of failure and then determining whether the capacitor deionization device is actually failed. No manual intervention is required during the entire detection process, which not only improves the accuracy and intelligence of the failure detection results, but also improves the reliability and safety of the water appliance during use.

[0029] Furthermore, by predicting the remaining service life of the capacitor deionization device and predicting the failure time of the capacitor deionization device, it is convenient for users to replace the capacitor deionization device in time, thereby extending the service life of the water appliance.

[0030] Additional aspects and advantages of the present invention will be given in part in the following description and in part will be obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or related technologies, the drawings required for use in the embodiments or related technical descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0032] Figure 1 This is one of the flow charts of the failure detection method of the capacitive deionization device provided in the embodiment of the present invention.

[0033] Figure 2It is a schematic diagram of a curve showing the variation of the working current over time of the capacitive deionization device provided in an embodiment of the present invention.

[0034] Figure 3 It is a schematic diagram of a curve showing the variation of the deionization efficiency over time of the capacitive deionization device provided in an embodiment of the present invention.

[0035] Figure 4 It is a schematic diagram of a preset current-voltage curve of the capacitive deionization device provided by an embodiment of the present invention under normal working conditions.

[0036] Figure 5 This is the second flow chart of the failure detection method of the capacitive deionization device provided in the embodiment of the present invention.

[0037] Figure 6 It is a schematic diagram of a curve showing the change of the outlet water flow rate over time of the capacitive deionization device provided in an embodiment of the present invention.

[0038] Figure 7 It is a structural schematic diagram of a failure detection device for a capacitive deionization device provided in an embodiment of the present invention.

[0039] Figure 8 It is a schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0040] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0041] In the embodiments of the present invention, "at least one" refers to one or more, and "more than one" refers to two or more. "And / or" describes the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B may represent: A exists alone, A and B exist at the same time, and B exists alone, where A and B may be singular or plural. In the textual description of the present invention, the character " / " generally indicates that the previous and next associated objects are in an "or" relationship. In addition, it should be noted that the serial numbers themselves, such as "first", "second", etc., used to distinguish the objects described in the present invention are only used to distinguish the objects described, and do not have any order or technical meaning.

[0042] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the embodiment of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0043] At present, capacitive deionization technology is a new water treatment method, which forms an electric double layer on the surface of the electrode to adsorb ions in the water, thereby purifying the water; therefore, capacitive deionization technology is increasingly used in under-sink water purifiers, such as by integrating it into a capacitive deionization device and setting it on the under-sink water purifier to purify the water. However, the capacitive deionization device may affect the water purification effect due to failure during long-term use. Therefore, it is particularly important to detect whether the capacitive deionization device has failed.

[0044] In the related art, whether the capacitor deionization device has failed is detected by regularly replacing the capacitor deionization device or manually testing the water quality. There is a lack of real-time and automatic failure detection methods, and the accuracy and intelligence of the detection results are very low, which can easily lead to users still using the capacitor deionization device when it has failed, affecting drinking water safety.

[0045] In order to solve the above technical problems, the present invention provides a failure detection method, device, electronic device and storage medium for a capacitor deionization device, wherein the execution subject of the failure detection method of the capacitor deionization device is a controller, and the controller can be built into the interior of the water appliance, or the controller can also be independently set and communicated with the water appliance, and the controller has at least other functions such as data storage function, data processing function and failure detection function, and the water appliance can specifically be an under-sink water purifier, splash-proof dishwasher, etc. Further, the failure detection method of the capacitor deionization device can also be applied to a failure detection device set in the water appliance, and the failure detection device can be implemented by software, hardware or a combination of the two. The following describes the failure detection method by taking the execution subject of the failure detection method of the capacitor deionization device as a controller set on the water appliance as an example.

[0046] In order to facilitate understanding of the failure detection method of the capacitive deionization device provided by the embodiment of the present invention, the failure detection method of the capacitive deionization device provided by the present invention will be described in detail below through the following exemplary embodiments. It can be understood that the following exemplary embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments.

[0047] Reference Figure 1 , which is one of the flow charts of the failure detection method of the capacitor deionization device provided by the present invention, such as Figure 1 As shown, the failure detection method of the capacitive deionization device includes the following steps 110 and 120.

[0048] Step 110: Obtain working state performance index parameters of the capacitive deionization device during operation.

[0049] Among them, the working state performance indicator parameters may include but are not limited to the working state parameters and / or key performance indicator parameters of the capacitive deionization device during operation, and the working state parameters may include but are not limited to at least one of the current current-voltage curve reflecting the changes in voltage and current of the capacitive deionization device under different working states and the current water quality reflecting the changes in conductivity of the inlet and outlet water of the capacitive deionization device.

[0050] The key performance indicator parameters may include but are not limited to at least one of the deionization efficiency, charge efficiency, energy consumption, and adsorption capacity of the capacitive deionization device.

[0051] Specifically, the controller obtains the working status parameters and can monitor the working parameters of the capacitive deionization device in real time during the working process of the capacitive deionization device through the working parameter sensor set on the water appliance equipment, such as the working voltage, working current, inlet and outlet water flow and ion concentration and other parameters of the capacitive deionization device at different times; then based on the preset curve drawing cycle, the working voltages at multiple different times in the preset cycle and the working currents at multiple different times are drawn to the corresponding current current-voltage curve.

[0052] For example, Figure 2 The schematic diagram of the curve of the working current of the capacitive deionization device changing with time is shown in FIG. Figure 2 As shown, the working current of the capacitive deionization device will change with the increase of the number of days of use, so the corresponding current-voltage curve can be drawn.

[0053] The controller obtains key performance indicator parameters and can calculate the key performance indicator parameters of the capacitive deionization device during operation based on the detected working parameters. The working parameters may include but are not limited to the inlet ion concentration of the capacitive deionization device, the outlet ion concentration of the capacitive deionization device, the working voltage of the capacitive deionization device, and the working current of the capacitive deionization device.

[0054] For example, when the key performance indicator parameter includes the deionization efficiency of the capacitive deionization device, the deionization efficiency η can be calculated by formula (1).

[0055] η=(Cin-Cout) / Cin×100% (1).

[0056] In formula (1), Cin represents the inlet ion concentration of the capacitive deionization device, and Cout represents the outlet ion concentration of the capacitive deionization device. It can be understood from formula (1) that the deionization efficiency η can be used to represent the percentage difference between the inlet and outlet ion concentrations of the capacitive deionization device. Its change with the use time can be referred to Figure 3 The diagram shows a curve of deionization efficiency of a capacitive deionization device changing with time.

[0057] When the key performance indicator parameter also includes the charge efficiency of the capacitive deionization device, the charge efficiency Λ can be calculated by formula (2).

[0058] Λ=(F×V×ΔC) / (M×Q) (2).

[0059] In formula (2), F represents the Faraday constant, V represents the volume of liquid that the capacitive deionization device can accommodate, ΔC represents the change in the ion concentration of the inlet and outlet water of the capacitive deionization device, M represents the molecular weight of the capacitive deionization device, and Q represents the charge of the capacitive deionization device.

[0060] When the key performance indicator parameter also includes the energy consumption of the capacitive deionization device, the energy consumption E can be calculated by formula (3).

[0061] E=U×I×t / V (3)

[0062] In formula (3), U represents the working voltage of the capacitive deionization device at time t, I represents the working current of the capacitive deionization device at time t, and V represents the volume of liquid that the capacitive deionization device can accommodate.

[0063] When the key performance indicator parameter also includes the adsorption capacity of the capacitive deionization device, the adsorption capacity qe can be calculated by formula (4).

[0064] qe=(C0-Ce)×V / m (4)

[0065] In formula (4), C0 represents the initial ion concentration of the capacitive deionization device, Ce represents the ion equilibrium concentration of the capacitive deionization device, V represents the liquid volume that the capacitive deionization device can accommodate, and m represents the mass of the adsorbent of the capacitive deionization device.

[0066] Step 120: When it is determined based on the working state performance indicator parameter that the capacitive deionization device is in a suspected failure state, a failure detection result of the capacitive deionization device is determined based on the potential difference of the capacitive deionization device.

[0067] Among them, the potential difference of the capacitive deionization device can be the difference between the working potential of the capacitive deionization device and the reference potential. The reference electrode is inserted at the water inlet of the capacitive deionization device and is used to provide the reference potential of the capacitive deionization device; the working electrode can be artificially pre-inserted at the target position of the capacitive deionization device, and the target position is a position that can ensure the optimal ion adsorption efficiency and desorption efficiency while ensuring the stability and safety of the water appliance system.

[0068] Specifically, when the working state performance indicator parameters include but are not limited to the working state parameters and / or key performance indicator parameters of the capacitive deionization device during operation, the controller can match the working state parameters and / or key performance indicator parameters with pre-set suspected failure conditions. When the match is successful, it is determined that the capacitive deionization device is currently in a suspected failure state, that is, it is preliminarily determined that the capacitive deionization device may fail. At this time, the potential difference of the capacitive deionization device can be further judged and compared with the potential difference under normal working conditions.

[0069] If it is determined through comparison that the deviation between the potential difference of the capacitive deionization device and the potential difference under normal working conditions is small enough, it is determined that the capacitive deionization device has not failed; conversely, if it is determined through comparison that the deviation between the potential difference of the capacitive deionization device and the potential difference under normal working conditions is large enough, it is determined that the capacitive deionization device has failed; thereby, the failure detection result of the capacitive deionization device is obtained.

[0070] In the method for detecting the failure of a capacitor deionization device provided by an embodiment of the present invention, a controller provided in the water appliance first determines whether the capacitor deionization device is suspected of failure based on the working state performance index parameters of the capacitor deionization device during operation, and further determines the final failure detection result of the capacitor deionization device based on the potential difference of the capacitor deionization device when it is determined that the capacitor deionization device is suspected of failure. In this way, the capacitor deionization device is detected in real time and automatically by first determining whether the capacitor deionization device is suspected of failure and then determining whether the capacitor deionization device is actually failed. No manual intervention is required during the entire detection process, which not only improves the accuracy and intelligence of the failure detection results, but also improves the reliability and safety of the water appliance during use.

[0071] Based on the above Figure 1 The failure detection method for the capacitive deionization device shown in an exemplary embodiment, when the working state performance indicator parameters include the current current-voltage curve of the capacitive deionization device and / or the current water quality of the capacitive deionization device, in step 120, it is determined that the capacitive deionization device is in a suspected failure state based on the working state performance indicator parameters, and the specific process is implemented by the following steps.

[0072] When the deviation between the current current-voltage curve and the preset current-voltage curve under normal working conditions exceeds the preset deviation threshold, and / or the current water quality exceeds the water quality threshold under normal working conditions, it is determined that the capacitive deionization device is in a suspected failure state.

[0073] Wherein, when conductivity sensors are respectively arranged at the water inlet and the water outlet of the capacitive deionization device, the controller determines the current water quality of the capacitive deionization device by monitoring the conductivity changes of the inlet and outlet water.

[0074] Specifically, after comparing the current current-voltage curve with the preset current-voltage curve, the controller determines that the deviation between the two exceeds the preset deviation threshold, and at this time it can be determined that the capacitive deionization device is currently in a suspected failure state.

[0075] Alternatively, after comparing the current water quality with the water quality threshold, it is determined that the current water quality exceeds the water quality threshold. At this time, it can also be determined that the capacitive deionization device is currently in a suspected failure state.

[0076] Alternatively, if the deviation between the current current-voltage curve and the preset current-voltage curve exceeds the preset deviation threshold and the current water quality exceeds the water quality threshold, it can also be determined that the capacitive deionization device is currently in a suspected failure state.

[0077] It should be noted that, refer to Figure 4 The schematic diagram of the preset current-voltage curve of the capacitive deionization device under normal working conditions is shown, and the preset current-voltage curve can be pre-drawn and stored so that it can be directly called in the subsequent suspected failure judgment. Similarly, it should be noted that the water quality threshold under the normal working condition can be pre-set and stored so that it can be directly called in the subsequent suspected failure judgment.

[0078] Based on the above Figure 1 The failure detection method for the capacitive deionization device shown, in an exemplary embodiment, when the working state performance indicator parameters include the key performance indicator parameters of the capacitive deionization device, in step 120, it is determined based on the target parameters that the capacitive deionization device is in a suspected failure state, and the specific process can also be achieved through the following steps.

[0079] When the key performance indicator parameter exceeds the preset indicator parameter threshold, it is determined that the capacitive deionization device is in a suspected failure state.

[0080] Among them, the number of key performance indicator parameters and preset indicator parameter thresholds is the same and corresponds one to one. When the key performance indicator parameters include at least one of deionization efficiency, charge efficiency, energy consumption and adsorption capacity, the preset indicator parameter thresholds correspond to the deionization efficiency threshold, the charge efficiency threshold, the energy consumption threshold and the adsorption capacity threshold.

[0081] Specifically, when the key performance indicator parameters include at least one of the deionization efficiency, charge efficiency, energy consumption, and adsorption capacity of the capacitive deionization device, the controller compares at least one of the deionization efficiency, charge efficiency, energy consumption, and adsorption capacity with at least one of the deionization efficiency threshold, charge efficiency threshold, energy consumption threshold, and adsorption capacity threshold under the corresponding normal working state.

[0082] If it is determined through comparison that at least one of the deionization efficiency, charge efficiency, energy consumption and adsorption capacity exceeds at least one of the corresponding deionization efficiency threshold, charge efficiency threshold, energy consumption threshold and adsorption capacity threshold, it can also be determined that the capacitive deionization device is in a suspected failure state.

[0083] It should be noted that the deionization efficiency threshold, charge efficiency threshold, energy consumption threshold and adsorption capacity threshold can all be preset and stored so that they can be directly called for subsequent suspected failure judgments.

[0084] Based on the above Figure 1 The failure detection method for the capacitive deionization device shown in an exemplary embodiment, when the working state performance indicator parameters include the current current-voltage curve of the capacitive deionization device, the current water quality of the capacitive deionization device and the key performance indicator parameters of the capacitive deionization device, in step 120, it is determined based on the target parameters that the capacitive deionization device is in a suspected failure state, and the specific process can also be achieved through the following steps.

[0085] When the deviation between the current current-voltage curve and the preset current-voltage curve under normal working conditions exceeds the preset deviation threshold and the key performance indicator parameter exceeds the preset indicator parameter threshold, it is determined that the capacitive deionization device is in a suspected failure state; or,

[0086] When the current water quality exceeds the water quality threshold under normal working conditions and the key performance indicator parameter exceeds the preset indicator parameter threshold, it is determined that the capacitive deionization device is in a suspected failure state; or,

[0087] When the deviation between the current current-voltage curve and the preset current-voltage curve exceeds the preset deviation threshold, the current water quality exceeds the water quality threshold, and the key performance indicator parameter exceeds the preset indicator parameter threshold, it is determined that the capacitive deionization device is in a suspected failure state.

[0088] Specifically, when the controller determines that the deviation between the current current-voltage curve and the preset current-voltage curve exceeds the preset deviation threshold, and at least one of the deionization efficiency, charge efficiency, energy consumption and adsorption capacity exceeds at least one of the corresponding deionization efficiency threshold, charge efficiency threshold, energy consumption threshold and adsorption capacity threshold, it can be determined that the capacitive deionization device is currently in a suspected failure state.

[0089] Alternatively, when the controller determines that the current water quality exceeds the water quality threshold, and at least one of the deionization efficiency, charge efficiency, energy consumption and adsorption capacity exceeds at least one of the corresponding deionization efficiency threshold, charge efficiency threshold, energy consumption threshold and adsorption capacity threshold, it can also be determined that the capacitive deionization device is currently in a suspected failure state.

[0090] Alternatively, the controller can also determine that the capacitive deionization device is currently in a suspected failure state when it determines that the deviation between the current current-voltage curve and the preset current-voltage curve exceeds a preset deviation threshold, the current water quality exceeds the water quality threshold, and at least one of the deionization efficiency, charge efficiency, energy consumption and adsorption capacity exceeds the corresponding deionization efficiency threshold, charge efficiency threshold, energy consumption threshold and adsorption capacity threshold.

[0091] It should be noted that by combining the current current-voltage curve, the current water quality and key performance indicator parameters to jointly determine whether the capacitor deionization device meets the preset suspected failure conditions, the reliability and accuracy of the suspected failure determination can be improved.

[0092] Based on the above Figure 1 In the failure detection method of the capacitive deionization device shown in an exemplary embodiment, in step 120, a failure detection result of the capacitive deionization device is determined based on the potential difference of the capacitive deionization device, and the specific process can be implemented by the following steps.

[0093] It is determined that the potential difference does not fall within a potential difference range under a normal working state, and that the failure detection result is a confirmed failure.

[0094] Specifically, in order to determine whether the capacitive deionization device has actually failed, the controller can further match the potential difference of the capacitive deionization device with the potential difference range under normal working conditions when determining that the capacitive deionization device is suspected of failing. If it is determined through matching that the potential difference does not fall within the potential difference range, then it can be determined that the capacitive deionization device has failed.

[0095] It should be noted that the potential difference range under the normal working state can be preset and stored so that it can be directly called when judging failure again after a suspected failure.

[0096] Based on the above Figure 1 In the failure detection method of the capacitive deionization device shown, in an exemplary embodiment, in order to promptly and accurately determine that the capacitive deionization device is unusable and needs to be replaced, it is possible to further determine whether its remaining service life is sufficient when it is determined to be truly failed or suspected of failure. Based on this, after step 120, the failure detection method provided by the present invention can also perform the following steps.

[0097] First, the remaining service life of the capacitor deionization device is obtained; then, the failure detection result is determined to be confirmed failure, or the remaining service life is less than a preset remaining service life threshold, and an alarm message is output, and the alarm message is used to prompt the user to replace the capacitor deionization device.

[0098] Specifically, the controller may collect current operating parameters of the capacitor deionization device, such as current water quality and current temperature, and perform a remaining service life prediction based on the collected current operating parameters to obtain the remaining service life of the capacitor deionization device.

[0099] When the controller determines that the capacitor deionization device has failed or is suspected of failing, it can also determine whether its remaining service life is insufficient, that is, determine whether the predicted remaining service life is less than the preset service life threshold. If the remaining service life is less than the preset service life threshold, it can be confirmed that the capacitor deionization device is faulty. At this time, the trigger alarm unit can be controlled to output an alarm message to remind the user to replace the capacitor deionization device.

[0100] It should be noted that the preset service life threshold can be pre-set and stored so that it can be directly called when determining whether the remaining service life is sufficient in the future.

[0101] The failure detection method of the capacitor deionization device provided by the present invention predicts the failure time of the capacitor deionization device by predicting the remaining service life of the capacitor deionization device, so that the user can replace the capacitor deionization device in time, thereby extending the service life of the water household appliance.

[0102] Based on the above Figure 1 In the failure detection method of the capacitive deionization device shown, in an exemplary embodiment, the controller obtains the remaining service life of the capacitive deionization device, and the specific process can be implemented through the following steps.

[0103] Based on the current operating parameters of the capacitor deionization device and a pre-trained remaining life prediction model, the remaining service life of the capacitor deionization device is obtained.

[0104] Specifically, the controller can obtain the remaining service life of the capacitor deionization device by calling a pre-trained remaining service life prediction model to predict the remaining service life, that is, inputting the current operating parameters of the capacitor deionization device into the remaining service life prediction model to predict the remaining service life, and obtaining the remaining service life output by the remaining service life prediction model.

[0105] It should be noted that the controller can obtain the remaining life prediction model by calling a pre-stored training sample set to train the neural network model. The training sample set includes a large number of operating parameter samples and the actual remaining service life corresponding to each operating parameter sample, and each operating parameter sample is a historical operating parameter. In this way, the neural network model is trained by using the training sample set until the life difference between the predicted remaining service life output by the trained intermediate neural network and the corresponding actual service life is small enough, and / or the number of training times reaches a preset number threshold, the training can be stopped, and the corresponding intermediate network model when the training is stopped is determined as the remaining life prediction model.

[0106] Based on the above Figure 1 In the failure detection method of the capacitive deionization device shown, in an exemplary embodiment, the controller obtains the remaining service life of the capacitive deionization device, and the specific process can also be implemented through the following steps.

[0107] The current operating parameters of the capacitor deionization device are sent to the cloud server, and the remaining service life fed back by the cloud server is received.

[0108] Among them, the cloud server is used to determine the remaining service life of the capacitor deionization device based on a pre-trained remaining life prediction model or a big data analysis model.

[0109] Specifically, the controller can also send the current operating parameters of the capacitor deionization device to the cloud server through wireless communication, so that the cloud server can use the pre-trained remaining life prediction model to predict the remaining service life of the capacitor deionization device, or use the big data analysis model to analyze the remaining service life of the capacitor deionization device, and then feed back the remaining service life of the capacitor deionization device to the controller. In this way, the purpose of more accurate failure prediction can be achieved by combining with a third-party cloud server.

[0110] For example, refer to Figure 5 The second flow chart of the failure detection method of the capacitor deionization device shown in FIG. Figure 5In the process, the working parameters of the capacitive deionization (CDI) device are monitored in real time. The working parameters include working current, working voltage, inlet and outlet flow rates, inlet and outlet ion concentrations, etc. A current-voltage curve is drawn according to each detected working parameter, and key performance indicator parameters are calculated. At the same time, at least one of the current current-voltage curve, current water quality and key performance indicator parameters obtained by drawing is determined as a working state performance indicator parameter; the key performance indicator parameters include at least one of the deionization efficiency, charge efficiency, energy consumption and adsorption capacity of the capacitive deionization device; such as Figure 5 As shown, when it is confirmed that the CDI device is abnormal based on the working state performance indicator parameters, an alarm is triggered to notify the user to replace the CDI device; conversely, when it is confirmed that the CDI device is not abnormal, the working parameters of the CDI device are continuously monitored and the key performance indicator parameters are recalculated to facilitate re-failure detection. The specific process involved can refer to the above embodiment. It will not be repeated here.

[0111] The water household appliance provided by the present invention is described below. The water household appliance includes: an equipment body, a capacitive deionization device, a working parameter detection unit and a controller. The controller is connected to the working parameter detection unit, and the capacitive deionization device, the controller and the working parameter detection unit are all arranged on the equipment body.

[0112] Capacitive deionization device, used to purify ions in water.

[0113] The working parameter detection unit is used to detect the working state performance index parameters of the capacitive deionization device during the working process.

[0114] The controller is used to obtain working status performance indicator parameters and execute the failure detection method of the capacitive deionization device provided in the above embodiment.

[0115] Optionally, the working parameter detection unit includes a voltage detection unit, a current detection unit, a reference electrode, a concentration detection unit, a potential difference detection unit and a conductivity sensor. The reference electrode is inserted at the water inlet of the capacitive deionization device, and the conductivity sensor is inserted at the water inlet and outlet of the capacitive deionization device. The voltage detection unit, the current detection unit, the concentration detection unit and the potential difference detection unit are respectively connected to the controller; the conductivity sensor and the reference electrode do not contact each other.

[0116] The voltage detection unit is used to detect the working voltage of the capacitive deionization device.

[0117] The current detection unit is used to detect the working current of the capacitive deionization device.

[0118] Reference electrode, used to provide reference potential for capacitive deionization device.

[0119] The concentration detection unit is used to detect the inlet ion concentration and outlet ion concentration of the capacitive deionization device.

[0120] The potential difference detection unit is used to detect the potential difference between the working electrode and the reference electrode of the capacitive deionization device. The potential difference is the difference between the working potential detected by the working electrode and the reference potential.

[0121] Conductivity sensor for detecting the current water quality in capacitive deionization units.

[0122] A controller is used to draw a current current-voltage curve of a capacitive deionization device based on multiple working voltages and multiple working currents within a preset time period, calculate key performance indicator parameters of the capacitive deionization device based on the inlet ion concentration and the outlet ion concentration, and determine at least one of the current current-voltage curve, current water quality and key performance indicator parameters as a working state performance indicator parameter; and is used to determine a failure detection result of the capacitive deionization device based on the potential difference of the capacitive deionization device when it is determined that the capacitive deionization device is in a suspected failure state based on the working state performance indicator parameter.

[0123] It should be noted that the working parameter detection unit may also include a flow detection unit, which is used to detect the water inlet flow rate and the water outlet flow rate of the capacitive deionization device, which can assist the controller in determining whether the capacitive deionization device is suspected of failure.

[0124] The number of conductivity sensors can be two and they are respectively inserted at the water inlet and the water outlet of the capacitive deionization device, so as to determine the current water quality of the capacitive deionization device by monitoring the conductivity changes of the inlet and outlet water.

[0125] For example, refer to Figure 6 The schematic diagram of the curve of the water flow rate of the capacitor deionization device changing with time is shown in FIG. Figure 6 As shown in the figure, the water flow rate of the capacitor deionization device remains constant first and then decreases rapidly as the number of days of use increases. In this way, the suspected failure judgment can be made in combination with the inlet and outlet water flow rates of the capacitor deionization device, which can also improve the accuracy and flexibility of the suspected failure judgment results.

[0126] Optionally, the water appliance further includes a memory, an alarm unit and a wireless communication unit, and the memory, the alarm unit and the wireless communication unit are respectively connected to the controller.

[0127] The memory is used to store the operating parameter samples required for training the remaining life prediction model.

[0128] The wireless communication unit is used to send the current operating parameters of the capacitor deionization device to the cloud server, and feed back the remaining service life predicted by the cloud server based on the current operating parameters to the controller.

[0129] The alarm unit is used to determine that the failure detection result of the capacitive deionization device is confirmed to be failure, or the remaining service life of the capacitive deionization device is less than a preset remaining service life threshold, and output an alarm message.

[0130] Optionally, the water appliance further includes a display screen, which is disposed on the outer surface of the device body.

[0131] A display screen is used to display at least one of the operating status, key performance indicator parameters and remaining service life of the capacitive deionization device.

[0132] It should be noted that the specific processes involved in the function realization process of the controller can refer to the above embodiments and will not be described in detail here.

[0133] The failure detection device for the capacitive deionization device provided by the present invention is described below. The failure detection device for the capacitive deionization device described below and the failure detection method for the capacitive deionization device described above can be referred to each other.

[0134] Reference Figure 7 , is a schematic diagram of the structure of a failure detection device for a capacitive deionization device provided in an embodiment of the present invention, such as Figure 7 As shown, the failure detection device 700 of the capacitive deionization device includes: a parameter acquisition module 710 and a failure detection module 720.

[0135] The parameter acquisition module 710 is used to obtain the working state performance index parameters of the capacitive deionization device during operation.

[0136] The failure detection module 720 is used to determine a failure detection result of the capacitive deionization device based on the potential difference of the capacitive deionization device when it is determined based on the working state performance indicator parameter that the capacitive deionization device is in a suspected failure state.

[0137] Optionally, the failure detection module 720 is specifically used to determine that the capacitive deionization device is in a suspected failure state when the deviation between the current current-voltage curve of the capacitive deionization device and the preset current-voltage curve under normal working conditions exceeds a preset deviation threshold, and / or the current water quality of the capacitive deionization device exceeds a water quality threshold under normal working conditions.

[0138] Optionally, the failure detection module 720 is specifically configured to determine that the capacitive deionization device is in a suspected failure state when a key performance indicator parameter of the capacitive deionization device exceeds a preset indicator parameter threshold.

[0139] Optionally, the failure detection module 720 is specifically used to determine that the capacitive deionization device is in a suspected failure state when the deviation between the current current-voltage curve of the capacitive deionization device and the preset current-voltage curve under normal working conditions exceeds a preset deviation threshold and the key performance indicator parameter of the capacitive deionization device exceeds a preset indicator parameter threshold; or

[0140] When the current water quality of the capacitive deionization device exceeds the water quality threshold under normal working conditions and the key performance indicator parameter exceeds the preset indicator parameter threshold, it is determined that the capacitive deionization device is in a suspected failure state; or,

[0141] When the deviation between the current current-voltage curve and the preset current-voltage curve exceeds the preset deviation threshold, the current water quality exceeds the water quality threshold, and the key performance indicator parameter exceeds the preset indicator parameter threshold, it is determined that the capacitive deionization device is in a suspected failure state.

[0142] Optionally, the failure detection module 720 is specifically configured to determine that the potential difference does not fall within a potential difference range under a normal working state, and to determine that the failure detection result is a confirmed failure.

[0143] Optionally, the failure detection module 720 is specifically used to obtain the remaining service life of the capacitor deionization device; determine that the failure detection result is confirmed failure, or the remaining service life is less than a preset remaining service life threshold, and control the output of an alarm message, the alarm message is used to prompt the user to replace the capacitor deionization device.

[0144] Optionally, the parameter acquisition module 710 is specifically used to obtain the remaining service life of the capacitive deionization device based on the current operating parameters of the capacitive deionization device and a pre-trained remaining service life prediction model.

[0145] Optionally, the failure detection module 720 is specifically used to send the current operating parameters of the capacitor deionization device to the cloud server and receive the remaining service life feedback from the cloud server; wherein the cloud server is used to determine the remaining service life based on a pre-trained remaining service life prediction model or a big data analysis model.

[0146] Optionally, the parameter acquisition module 710 is specifically used to acquire key performance indicator parameters including at least one of the deionization efficiency, charge efficiency, energy consumption, and adsorption capacity of the capacitive deionization device.

[0147] Figure 8 An example of a physical structure diagram of an electronic device is shown in FIG. Figure 8As shown, the electronic device may include: a processor 810, a communication interface 820, a memory 830 and a communication bus 840, wherein the processor 810, the communication interface 820 and the memory 830 communicate with each other through the communication bus 840. The processor 810 may call the logic instructions in the memory 830 to execute the following method: obtaining the working state performance index parameter of the capacitive deionization device during the working process; when it is determined based on the working state performance index parameter that the capacitive deionization device is in a suspected failure state, determining the failure detection result of the capacitive deionization device based on the potential difference of the capacitive deionization device.

[0148] In addition, the logic instructions in the above-mentioned memory 830 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on this understanding, the technical solution of the present invention, or the part that contributes to the relevant technology or the part of the technical solution, can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0149] On the other hand, an embodiment of the present invention discloses a computer program product, which includes a computer program stored on a non-transitory computer-readable storage medium, and the computer program includes program instructions. When the program instructions are executed by a computer, the computer can execute the methods provided by the above-mentioned method embodiments, for example, including: obtaining working state performance index parameters of the capacitive deionization device during operation; when it is determined based on the working state performance index parameters that the capacitive deionization device is in a suspected failure state, determining the failure detection result of the capacitive deionization device based on the potential difference of the capacitive deionization device.

[0150] On the other hand, an embodiment of the present invention further provides a non-transitory computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, it is implemented to execute the transmission methods provided in the above-mentioned embodiments, for example, including: obtaining working state performance index parameters of the capacitive deionization device during operation; when it is determined based on the working state performance index parameters that the capacitive deionization device is in a suspected failure state, determining a failure detection result of the capacitive deionization device based on the potential difference of the capacitive deionization device.

[0151] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0152] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the relevant technology can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiment.

[0153] Finally, it should be noted that the above embodiments are only used to illustrate the present invention, rather than to limit the present invention. Although the present invention is described in detail with reference to the embodiments, it should be understood by those skilled in the art that various combinations, modifications or equivalent substitutions of the technical solutions of the present invention do not depart from the spirit and scope of the technical solutions of the present invention, and should be included in the scope of the present invention.

Claims

1. A method for detecting failure of a capacitive deionization device, characterized in that: include: Obtaining working state performance index parameters of the capacitive deionization device during operation; When it is determined that the capacitive deionization device is in a suspected failure state based on the working state performance indicator parameter, a failure detection result of the capacitive deionization device is determined based on the potential difference of the capacitive deionization device.

2. The failure detection method of a capacitive deionization device according to claim 1, characterized in that: The working state performance indicator parameter includes a current current-voltage curve of the capacitive deionization device and / or a current water quality of the capacitive deionization device, and determining that the capacitive deionization device is in a suspected failure state based on the target parameter includes: When the deviation between the current current-voltage curve and the preset current-voltage curve under normal working conditions exceeds a preset deviation threshold, and / or the current water quality exceeds a water quality threshold under normal working conditions, it is determined that the capacitive deionization device is in a suspected failure state.

3. The failure detection method of a capacitive deionization device according to claim 1, characterized in that: The working state performance indicator parameter includes a key performance indicator parameter of the capacitive deionization device, and determining that the capacitive deionization device is in a suspected failure state based on the target parameter further includes: When the key performance indicator parameter exceeds a preset indicator parameter threshold, it is determined that the capacitive deionization device is in a suspected failure state.

4. The failure detection method of a capacitive deionization device according to claim 1, characterized in that: The working state performance indicator parameters include the current current-voltage curve of the capacitive deionization device, the current water quality of the capacitive deionization device, and the key performance indicator parameters of the capacitive deionization device, and determining that the capacitive deionization device is in a suspected failure state based on the target parameters also includes: When the deviation between the current current-voltage curve and the preset current-voltage curve under normal working conditions exceeds the preset deviation threshold and the key performance indicator parameter exceeds the preset indicator parameter threshold, it is determined that the capacitive deionization device is in a suspected failure state; or, When the current water quality exceeds the water quality threshold under normal working conditions and the key performance indicator parameter exceeds the preset indicator parameter threshold, it is determined that the capacitive deionization device is in a suspected failure state; or, When the deviation between the current current-voltage curve and the preset current-voltage curve exceeds the preset deviation threshold, the current water quality exceeds the water quality threshold, and the key performance indicator parameter exceeds the preset indicator parameter threshold, it is determined that the capacitive deionization device is in a suspected failure state.

5. The failure detection method of a capacitive deionization device according to any one of claims 1 to 4, characterized in that: The step of determining a failure detection result of the capacitive deionization device based on the potential difference of the capacitive deionization device comprises: It is determined that the potential difference does not belong to the potential difference range under the normal working state, and the failure detection result is determined to be a confirmed failure.

6. The failure detection method of a capacitive deionization device according to any one of claims 1 to 4, characterized in that: The method further comprises: Obtaining the remaining service life of the capacitive deionization device; Determine that the failure detection result is confirmed failure, or the remaining service life is less than a preset remaining service life threshold, and control the output of an alarm message, wherein the alarm message is used to prompt a user to replace the capacitive deionization device.

7. The failure detection method of a capacitive deionization device according to claim 6, characterized in that: The obtaining of the remaining service life of the capacitive deionization device comprises: Based on the current operating parameters of the capacitive deionization device and a pre-trained remaining life prediction model, the remaining service life of the capacitive deionization device is obtained.

8. The failure detection method of a capacitive deionization device according to claim 6, characterized in that: The obtaining of the remaining service life of the capacitive deionization device further includes: Sending the current operating parameters of the capacitive deionization device to a cloud server, and receiving the remaining service life fed back by the cloud server; The cloud server is used to determine the remaining useful life based on a pre-trained remaining useful life prediction model or a big data analysis model.

9. The failure detection method of a capacitive deionization device according to any one of claims 1 to 4, characterized in that: The key performance indicator parameters include at least one of the deionization efficiency, charge efficiency, energy consumption, and adsorption capacity of the capacitive deionization device.

10. A water appliance, characterized in that: include: An equipment body, a capacitive deionization device, a working parameter detection unit and a controller, wherein the controller is connected to the working parameter detection unit, and the capacitive deionization device, the controller and the working parameter detection unit are all arranged on the equipment body; The capacitive deionization device is used to purify ions in water; The working parameter detection unit is used to detect the working state performance index parameters of the capacitive deionization device during operation; The controller is used to obtain the working status performance indicator parameters and execute the failure detection method of the capacitive deionization device according to any one of claims 1 to 9.

11. The water appliance according to claim 10, characterized in that: The working parameter detection unit includes a voltage detection unit, a current detection unit, a reference electrode, a concentration detection unit, a potential difference detection unit and a conductivity sensor, wherein the reference electrode is inserted at the water inlet of the capacitive deionization device, and the conductivity sensor is arranged at the water inlet and the water outlet of the capacitive deionization device, and the voltage detection unit, the current detection unit, the concentration detection unit and the potential difference detection unit are respectively connected to the controller; the conductivity sensor and the reference electrode are not in contact with each other; The voltage detection unit is used to detect the operating voltage of the capacitive deionization device; The current detection unit is used to detect the working current of the capacitive deionization device; The reference electrode is used to provide a reference potential for the capacitive deionization device; The concentration detection unit is used to detect the inlet ion concentration and outlet ion concentration of the capacitive deionization device; The potential difference detection unit is used to detect the potential difference between the working electrode of the capacitive deionization device and the reference electrode, wherein the potential difference is the difference between the working potential detected by the working electrode and the reference potential; The conductivity sensor is used to detect the current water quality of the capacitive deionization device; The controller is used to draw a current current-voltage curve of the capacitive deionization device based on the multiple working voltages and the multiple working currents within a preset time, calculate the key performance indicator parameters of the capacitive deionization device based on the inlet ion concentration and the outlet ion concentration, and determine at least one of the current current-voltage curve, the current water quality and the key performance indicator parameters as the working state performance indicator parameters; And for determining a failure detection result of the capacitive deionization device based on the potential difference of the capacitive deionization device when it is determined that the capacitive deionization device is in a suspected failure state based on the working state performance indicator parameter.

12. The water appliance according to claim 10, characterized in that: It also includes a memory, an alarm unit and a wireless communication unit, wherein the memory, the alarm unit and the wireless communication unit are respectively connected to the controller; The memory is used to store the operating parameter samples required for training the remaining life prediction model; The wireless communication unit is used to send the current operating parameters of the capacitive deionization device to the cloud server, and feed back the remaining service life predicted by the cloud server based on the current operating parameters to the controller; The alarm unit is used to determine that the failure detection result of the capacitive deionization device is confirmed failure, or the remaining service life of the capacitive deionization device is less than a preset remaining service life threshold, and output alarm information.

13. The water appliance according to claim 10, characterized in that: It also includes a display screen, which is arranged on the outer surface of the device body; The display screen is used to display at least one of the working status, key performance indicator parameters and remaining service life of the capacitive deionization device.

14. A failure detection device for a capacitive deionization device, characterized in that: include: A parameter acquisition module is used to obtain working state performance index parameters of the capacitive deionization device during operation; The failure detection module is used to determine the failure detection result of the capacitive deionization device based on the potential difference of the capacitive deionization device when it is determined that the capacitive deionization device is in a suspected failure state based on the working state performance indicator parameter.

15. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the failure detection method for the capacitive deionization device according to any one of claims 1 to 9 is implemented.

16. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the failure detection method of the capacitive deionization device according to any one of claims 1 to 9 is implemented.

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