Filter element effectiveness detection method and device, electronic equipment and storage medium

Abstract

The invention relates to a filter element validity detection method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring a flow meter reading of a flow meter deployed on the water purification equipment; according to the flow meter reading, detecting an operation fault of the flow meter to obtain flow meter fault detection information of the flow meter; and detecting the effectiveness of a filter element deployed in the water purification equipment according to the flowmeter fault detection information to obtain filter element detection information. By adopting the method, the filter element effectiveness detection accuracy can be improved.

Description

Technical Field

[0001] The present application relates to the field of water purification technology, and in particular to a filter element effectiveness detection method, device, electronic device and storage medium. Background Art

[0002] As people's living standards improve, the safety and health of drinking water are receiving more and more attention, and the application of water purification equipment is becoming more and more popular.

[0003] At present, whether the filter element deployed in the water purification equipment is effective is judged by the flow meter reading of the flow meter deployed in the water purification equipment, so that when the filter element is judged to be invalid, the user is reminded to replace the filter element. In this way, the judgment of the effectiveness of the filter element is too dependent on the flow meter reading, resulting in low accuracy of the filter element effectiveness detection. Summary of the invention

[0004] Based on this, it is necessary to provide a filter element validity detection method, device, electronic device, computer-readable storage medium and computer program product that can improve the accuracy of filter element validity detection in response to the above-mentioned technical problems.

[0005] In a first aspect, the present application provides a method for detecting the effectiveness of a filter element. The method comprises:

[0006] Obtain flow meter readings of flow meters deployed at water purification equipment;

[0007] Detecting an operation fault of the flow meter according to the flow meter reading to obtain flow meter fault detection information of the flow meter;

[0008] According to the flow meter fault detection information, the effectiveness of the filter element deployed in the water purification equipment is detected to obtain filter element detection information.

[0009] In one of the embodiments, the flow meter reading includes multiple flow meter sub-readings read at multiple time points respectively; based on the flow meter readings, the operating fault of the flow meter is detected to obtain flow meter fault detection information of the flow meter, including: obtaining the flow range corresponding to the water purification equipment; when there are multiple target flow meter readings corresponding to flow values ​​outside the flow range among the multiple flow meter sub-readings, and the flow duration corresponding to the multiple target flow meter readings is greater than a preset duration threshold, the flow meter fault detection information of the flow meter is determined to be a fault.

[0010] In one embodiment, obtaining the flow range corresponding to the water purification equipment includes: obtaining equipment information of the water purification equipment, wherein the equipment information includes at least one of equipment component information, equipment usage information and equipment processing information; and generating the flow range corresponding to the water purification equipment based on the equipment information.

[0011] In one of the embodiments, generating a flow range corresponding to the water purification equipment based on the equipment information includes: evaluating the water purification capacity of the water purification equipment based on the equipment information to obtain water purification capacity evaluation information of the water purification equipment; generating a flow range corresponding to the water purification equipment based on the water purification capacity evaluation information.

[0012] In one of the embodiments, the effectiveness of the filter element deployed in the water purification device is detected based on the flow meter fault detection information to obtain filter element detection information, including: when the flow meter fault detection information shows that there is no fault, the effectiveness of the filter element deployed in the water purification device is detected based on the flow meter reading to obtain filter element detection information; when the flow meter fault detection information shows that there is a fault, the operating time information of the water purification device is obtained, and based on the operating time information, the effectiveness of the filter element deployed in the water purification device is detected to obtain filter element detection information.

[0013] In one of the embodiments, the effectiveness of the filter element deployed in the water purification device is detected based on the flow meter reading to obtain filter element detection information, including: determining the treated water volume of the filter element deployed in the water purification device based on the flow meter reading; when the treated water volume is greater than the treated water volume threshold corresponding to the filter element, determining the filter element invalid information as the filter element detection information; when the treated water volume is not greater than the treated water volume threshold corresponding to the filter element, determining the filter element valid information as the filter element detection information.

[0014] In one of the embodiments, the operating time information includes at least one of pumping time information, filter element usage time information and water purification equipment operating time information; based on the operating time information, the effectiveness of the filter element deployed in the water purification equipment is detected to obtain filter element detection information, including: determining the cumulative usage time of the filter element deployed in the water purification equipment based on the operating time information; when the cumulative usage time is greater than the usage time threshold corresponding to the filter element, determining the filter element invalid information as the filter element detection information; when the cumulative usage time is not greater than the usage time threshold corresponding to the filter element, determining the filter element valid information as the filter element detection information.

[0015] In a second aspect, the present application also provides a filter element effectiveness detection device. The device comprises:

[0016] An acquisition module, used to obtain a flow meter reading of a flow meter deployed in a water purification device;

[0017] A detection module is used to detect the operating fault of the flow meter according to the flow meter reading to obtain flow meter fault detection information of the flow meter; based on the flow meter fault detection information, the effectiveness of the filter element deployed in the water purification equipment is detected to obtain filter element detection information.

[0018] In a third aspect, the present application further provides an electronic device. The electronic device includes a memory and a processor, the memory stores a computer program, and the processor implements the following steps when executing the computer program:

[0019] Obtain flow meter readings of flow meters deployed at water purification equipment;

[0020] Detecting an operation fault of the flow meter according to the flow meter reading to obtain flow meter fault detection information of the flow meter;

[0021] According to the flow meter fault detection information, the effectiveness of the filter element deployed in the water purification equipment is detected to obtain filter element detection information.

[0022] In a fourth aspect, the present application further provides a computer-readable storage medium. The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the following steps are implemented:

[0023] Obtain flow meter readings of flow meters deployed at water purification equipment;

[0024] Detecting an operation fault of the flow meter according to the flow meter reading to obtain flow meter fault detection information of the flow meter;

[0025] According to the flow meter fault detection information, the effectiveness of the filter element deployed in the water purification equipment is detected to obtain filter element detection information.

[0026] In a fifth aspect, the present application further provides a computer program product. The computer program product includes a computer program, and when the computer program is executed by a processor, the following steps are implemented:

[0027] Obtain flow meter readings of flow meters deployed at water purification equipment;

[0028] Detecting an operation fault of the flow meter according to the flow meter reading to obtain flow meter fault detection information of the flow meter;

[0029] According to the flow meter fault detection information, the effectiveness of the filter element deployed in the water purification equipment is detected to obtain filter element detection information.

[0030] The above-mentioned filter element effectiveness detection system, method, device, electronic device and storage medium obtain the flow meter reading of the flow meter deployed in the water purification equipment; detect the operation fault of the flow meter according to the flow meter reading, and obtain the flow meter fault detection information of the flow meter; detect the effectiveness of the filter element deployed in the water purification equipment according to the flow meter fault detection information, and obtain the filter element detection information, and use the flow meter fault detection information as the basis for the effectiveness of the filter element. Taking into account the risk of low accuracy of the filter element effectiveness detection when the flow meter has an operation fault and the flow meter reading is used as the basis for the filter element effectiveness detection, the accuracy of the filter element effectiveness detection is improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 A schematic diagram of an application scenario of a filter element effectiveness detection method in an embodiment;

[0032] Figure 2 A schematic diagram of an application scenario of a filter element effectiveness detection method in another embodiment;

[0033] Figure 3 A schematic diagram of a flow chart of a filter element effectiveness detection method in one embodiment;

[0034] Figure 4 A schematic flow chart of a step of detecting an operation fault of a flow meter according to a flow meter reading to obtain flow meter fault detection information of the flow meter in one embodiment;

[0035] Figure 5 It is a flowchart of the steps of detecting the effectiveness of the filter element deployed in the water purification equipment according to the flow meter fault detection information and obtaining the filter element detection information in one embodiment;

[0036] Figure 6 is a structural block diagram of a filter element effectiveness detection device in one embodiment;

[0037] Figure 7 FIG. 4 is a diagram showing the internal structure of an electronic device in one embodiment. DETAILED DESCRIPTION

[0038] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0039] The filter element effectiveness detection method provided in the embodiment of the present application can be applied to Figure 1In the application scenario shown. Among them, the filter element 102 deployed in the water purification system communicates with the flow meter 104 deployed in the water purification system, and the communication can be realized through the network or through the connecting line, which is not limited here; the filter element 102 includes a storage component and a detection component, and the storage component can store the data that the filter element 102 needs to process (for example, flow meter reading, flow range, equipment information, running time information, etc.), and the flow meter reading sent by the flow meter 104 is received by the filter element 102, and the flow meter 104 is detected by the detection component according to the flow meter reading. The flow meter fault detection information of the flow meter 104 is obtained; according to the flow meter fault detection information, the effectiveness of the filter element 102 deployed in the water purification equipment is detected to obtain the filter element detection information. The filter element 102 can also communicate with the terminal 106 through the network, or through a connecting line, which is not limited here; the filter element 102 can push the flow meter fault detection information to the terminal 106, so that the user can timely maintain or replace the flow meter 104; the filter element 102 can also push the filter element detection information to the terminal 106, so that the user can timely maintain or replace the filter element 102. The terminal 106 can be, but is not limited to, various personal computers, laptops, smart phones, tablets, Internet of Things devices and portable wearable devices. The Internet of Things devices can be smart speakers, smart TVs, smart air conditioners, smart car devices, projection devices, etc. Portable wearable devices can be smart watches, smart bracelets, head-mounted devices, etc. The head-mounted devices can be virtual reality (VR) devices, augmented reality (AR) devices, smart glasses, etc.

[0040] In another application scenario, it is applied to Figure 2In the application scenario shown. Among them, the server 202 communicates with the filter element 102 deployed in the water purification system and the flow meter 104 deployed in the water purification system through the network, and can also communicate through a connecting line, which is not limited here; the data storage system can store the data that the server 202 needs to process (for example, flow meter readings, flow ranges, equipment information, operating time information, etc.), and receives the flow meter readings collected by the flow meter 104 through the server 202. According to the flow meter readings, the operating fault of the flow meter 104 is detected to obtain the flow meter fault detection information of the flow meter 104; according to the flow meter fault detection information, the effectiveness of the filter element 102 deployed in the water purification equipment is detected to obtain the filter element detection information. The data storage system can be integrated on the server 202, or it can be placed on the cloud or other network servers. The server 202 can be implemented as an independent server or a server cluster consisting of multiple servers. The server 202 can also communicate with the terminal 106 through the network or through a connecting line, which is not limited here; the server 202 can push the flow meter fault detection information to the terminal 106 so that the user can timely maintain or replace the flow meter 104; the filter element 102 can also push the filter element detection information to the terminal 106 so that the user can timely maintain or replace the filter element 102. The terminal 106 can be, but not limited to, various personal computers, laptops, smart phones, tablets, Internet of Things devices and portable wearable devices. The Internet of Things devices can be smart speakers, smart TVs, smart air conditioners, smart car devices, projection devices, etc. Portable wearable devices can be smart watches, smart bracelets, head-mounted devices, etc. The head-mounted devices can be virtual reality (VR) devices, augmented reality (AR) devices, smart glasses, etc.

[0041] In one embodiment, Figure 3 As shown, a filter element effectiveness detection method is provided, and the method is applied to Figure 2 Taking the server 202 in the example as an example, the following steps are included:

[0042] Step 302, obtaining a flow meter reading of a flow meter deployed in a water purification device.

[0043] The flow meter readings may include pulse readings, electrical parameter readings, and flow readings. The electrical parameter readings include but are not limited to current readings and voltage readings.

[0044] As an embodiment, step 302 includes: obtaining a pulse reading, an electrical parameter reading, or a flow reading of a flow meter deployed in the water purification equipment.

[0045] Step 304: Detect the operation fault of the flow meter according to the flow meter reading to obtain flow meter fault detection information of the flow meter.

[0046] Exemplarily, step 304 includes: converting the flow meter reading into a flow value, and detecting an operation fault of the flow meter according to the flow value to obtain flow meter fault detection information of the flow meter.

[0047] As an embodiment, converting the flow meter reading into the flow value includes: when the flow meter reading includes the flow reading, determining the flow meter reading as the flow value.

[0048] As another embodiment, converting the flow meter reading into a flow value includes: when the flow meter reading includes a pulse reading, obtaining a pulse coefficient corresponding to the flow meter, and converting the pulse reading into a flow value based on the pulse coefficient. Specifically, the product of the pulse coefficient and the pulse reading is determined as the flow value.

[0049] As another embodiment, converting the flow meter reading into a flow value includes: when the flow meter reading includes an electrical parameter reading, obtaining a mapping relationship corresponding to the flow meter, wherein the mapping relationship includes a corresponding relationship between the electrical parameter value and the flow value, and converting the electrical parameter reading into the flow value through the mapping relationship. For example, the current range of the flow meter is 0-10mA, and the flow value range is 0%-100%. When the electrical parameter reading is 0mA, the converted flow value is 0%, and when the electrical parameter reading is 10mA, the converted flow value is 100%; the voltage range of the flow meter is 0-5V, and the flow value range is 0%-100%. When the electrical parameter reading is 0V, the converted flow value is 0%, and when the electrical parameter reading is 5V, the converted flow value is 100%.

[0050] Step 306: Based on the flow meter fault detection information, the effectiveness of the filter element deployed in the water purification equipment is detected to obtain filter element detection information.

[0051] Exemplarily, step 306 includes: selecting basis information for detecting the effectiveness of the filter element based on the flow meter fault detection information, and detecting the effectiveness of the filter element deployed in the water purification equipment based on the basis information to obtain filter element detection information, wherein when the flow meter fault detection information is that there is no fault, the basis information includes the flow meter reading, and when the flow meter fault detection information is that there is a fault, the basis information includes water purification equipment information other than the flow meter reading.

[0052] In this embodiment, the flow meter reading of the flow meter deployed in the water purification equipment is obtained; based on the flow meter reading, the operation fault of the flow meter is detected to obtain flow meter fault detection information of the flow meter; based on the flow meter fault detection information, the effectiveness of the filter element deployed in the water purification equipment is detected to obtain filter element detection information, and the flow meter fault detection information is used as the basis for the effectiveness of the filter element. Considering that when the flow meter has an operation fault, there is a risk of low accuracy in the filter element effectiveness detection when the flow meter reading is used as the basis for the filter element effectiveness detection, the accuracy of the filter element effectiveness detection is improved.

[0053] In one embodiment, Figure 4 As shown, steps of a flow meter fault detection method are provided, in which the flow meter reading includes a plurality of flow meter sub-readings respectively read at a plurality of time points; Figure 3 In step 304, the operation fault of the flow meter is detected according to the flow meter reading to obtain flow meter fault detection information of the flow meter, including:

[0054] Step 402, obtaining the flow range corresponding to the water purification equipment.

[0055] Exemplarily, step 402 includes: obtaining the flow range corresponding to the water purification equipment set by the user as needed; or, obtaining the usage flow of the water purification equipment during use, and generating the flow range corresponding to the water purification equipment based on the usage flow; or, obtaining the equipment information of the water purification equipment, and generating the flow range corresponding to the water purification equipment based on the equipment information.

[0056] Furthermore, based on the usage flow, a flow range corresponding to the water purification equipment is generated, including: the usage flow includes usage sub-flows at multiple time points, and the flow range corresponding to the water purification equipment is generated according to the flow distribution corresponding to the usage sub-flows at multiple time points. Specifically, the flow range corresponding to the water purification equipment can be generated according to the minimum flow value and the maximum flow value in the usage sub-flows at multiple time points (the minimum flow value is determined as the minimum value in the flow range, and the maximum flow value is determined as the maximum value in the flow range). It can also be generated according to the sum and difference between the average flow value and the average flow difference in the usage sub-flows at multiple time points (the sum of the average flow value and the average flow difference is determined as the maximum value in the flow range, and the difference between the average flow value and the average flow difference is determined as the minimum value in the flow range).

[0057] In this way, a variety of flow rate range generation methods are provided, ensuring that the generated flow rate range can match the flow rate used during normal use of the water purification device.

[0058] As one embodiment, a flow range corresponding to a water purification device is generated based on device information, including: the device information includes at least one of device component information, device usage information and device processing information; based on the device information, the water purification capacity of the water purification device is evaluated to obtain water purification capacity evaluation information of the water purification device; based on the water purification capacity evaluation information, a flow range corresponding to the water purification device is generated.

[0059] Among them, the equipment component information includes at least one of the component model of the water purification component constituting the water purification equipment and the component depreciation rate of the water purification component constituting the water purification equipment, the equipment use information includes at least one of the equipment use time, the equipment use depreciation rate and the water quality of the water used by the equipment, and the equipment processing information includes the equipment processing flow information. The better the component quality of the water purification component represented by the component model of the water purification component constituting the water purification equipment, the stronger the water purification capacity represented by the water purification capacity evaluation information obtained by evaluation; the lower the component depreciation rate of the water purification component constituting the water purification equipment, the stronger the water purification capacity represented by the water purification capacity evaluation information obtained by evaluation; the shorter the equipment use time, the stronger the water purification capacity represented by the water purification capacity evaluation information obtained by evaluation; the lower the equipment use depreciation rate, the stronger the water purification capacity represented by the water purification capacity evaluation information obtained by evaluation; the better the water quality of the water used by the equipment, the stronger the water purification capacity represented by the water purification capacity evaluation information obtained by evaluation; the larger the processing flow value represented by the equipment processing flow information, the stronger the water purification capacity represented by the water purification capacity evaluation information obtained by evaluation.

[0060] In this way, the influence of equipment component information, equipment usage information and equipment processing information on the water purification capacity of the water purification equipment is taken into consideration, so that the water purification capacity evaluation information obtained by evaluation is more accurate.

[0061] The stronger the water purification capacity represented by the water purification capacity evaluation information is, the higher the critical flow rate value (maximum value or minimum value in the flow rate range) in the flow rate range corresponding to the generated water purification equipment is.

[0062] In this way, considering that the stronger the water purification capacity of the water purification equipment is, the greater the flow rate of water that can be purified by the water purification equipment per unit time is, therefore, the flow critical value in the flow range corresponding to the generated water purification equipment is higher, so that the flow range corresponding to the water purification equipment matches the water purification capacity of the water purification equipment, thereby improving the generation accuracy of the flow range corresponding to the water purification equipment.

[0063] Step 404, when there are multiple target flow meter readings among the multiple flow meter sub-readings whose flow values ​​are outside the flow range and the flow duration corresponding to the multiple target flow meter readings is greater than a preset duration threshold, the flow meter fault detection information of the flow meter is determined to be faulty.

[0064] Among them, the preset time threshold can be set by the user as needed, or it can be determined according to the water purification condition corresponding to the water purification equipment, and there is no restriction here.

[0065] The flow duration corresponding to the multiple target flow meter readings is the time difference between the latest reading time and the earliest reading time corresponding to the multiple target flow meter readings.

[0066] It is understandable that during the use of water purification equipment, there may be abnormal water purification conditions such as water pressure fluctuations, water outages, water purification equipment drainage, and water purification equipment self-cleaning. At this time, the flow meter reading itself is abnormal, and it does not mean that the flow meter must be faulty. If the instantaneous flow meter sub-reading is directly used as the basis for judging whether the flow meter is faulty, and the instantaneous flow meter sub-reading is under the abnormal water purification condition of the water purification equipment, it is easy to misjudge the flow meter fault, resulting in low accuracy in flow meter fault judgment.

[0067] As an embodiment, the method also includes: selecting a maximum duration from at least one of the water pressure fluctuation duration, water outage duration, drainage duration and self-cleaning duration corresponding to the water purification equipment, and determining a preset duration threshold based on the maximum duration. Specifically, the maximum duration can be determined as the preset duration threshold, or the preset time threshold can be set to be greater than the maximum duration.

[0068] In this way, taking into account the impact of abnormal water purification conditions such as water pressure fluctuations, water outages, water purification equipment drainage, and water purification equipment self-cleaning during the use of the water purification equipment, which may cause misjudgment of the flow meter failure, by adding a preset time threshold that is the same as the maximum duration of the above-mentioned abnormal water purification conditions, when the flow rate continues for longer than the preset time threshold, it is determined that the flow meter reading is not affected by the abnormal water purification conditions of the water purification equipment, thereby improving the accuracy of flow meter fault judgment.

[0069] Optionally, the method also includes: when there are no multiple target flow meter readings among the multiple flow meter sub-readings, or when there are multiple target flow meter readings among the multiple flow meter sub-readings, and the flow durations corresponding to the multiple target flow meter readings are all no greater than a preset duration threshold, determining the flow meter fault detection information of the flow meter as no fault exists.

[0070] In this way, when there are no multiple target flow meter readings among multiple flow meter sub-readings, it means that the water purification equipment does not have the above-mentioned abnormal water purification condition. Therefore, the multiple flow meter sub-readings will not be affected by the above-mentioned abnormal water purification condition of the water purification equipment. At this time, the multiple flow meter sub-readings match the flow rate when the water purification equipment is in normal use, so it is determined that the flow meter has no fault; when there are multiple target flow meter readings among multiple flow meter sub-readings, it means that the water purification equipment may have the above-mentioned abnormal water purification condition, and the flow duration corresponding to the multiple target flow meter readings is not greater than the preset time threshold, it means that the multiple target flow meter readings are generated after being affected by the abnormal water purification condition of the water purification equipment. Then, even if the multiple target flow meter readings do not match the flow rate when the water purification equipment is in normal use, the duration is short, so it can be determined that the flow meter has no fault; in summary, the detection accuracy of flow meter faults is improved.

[0071] In this embodiment, by obtaining the flow range corresponding to the water purification equipment; when there are multiple target flow meter readings among multiple flow meter sub-readings whose corresponding flow values ​​are outside the flow range, and the flow duration corresponding to the multiple target flow meter readings is greater than the preset duration threshold, the flow meter fault detection information of the flow meter is determined to be a fault. When there are multiple target flow meter readings among multiple flow meter sub-readings whose corresponding flow values ​​are outside the flow range, and the flow duration corresponding to the multiple target flow meter readings is greater than the preset duration threshold, it means that the multiple target flow meter readings are not affected by the water purification condition of the abnormal use of the water purification equipment, that is, the multiple target flow meter readings at this time can characterize that the flow meter readings do not match the flow during normal use of the water purification equipment. Therefore, it is determined that the flow meter is faulty, thereby improving the detection accuracy of the flow meter fault.

[0072] In one embodiment, Figure 5 As shown, a method for detecting the effectiveness of a filter element is provided, in which: Figure 3 In step 306, the effectiveness of the filter element deployed in the water purification equipment is detected according to the flow meter fault detection information to obtain the filter element detection information, including:

[0073] Step 502, when the flow meter fault detection information indicates that there is no fault, the effectiveness of the filter element deployed in the water purification equipment is detected based on the flow meter reading to obtain filter element detection information.

[0074] As an embodiment, the effectiveness of the filter element deployed in the water purification equipment is detected according to the flow meter reading to obtain filter element detection information, including: determining the treated water volume of the filter element deployed in the water purification equipment according to the flow meter reading; when the treated water volume is greater than the treated water volume threshold corresponding to the filter element, determining the filter element invalid information as the filter element detection information; when the treated water volume is not greater than the treated water volume threshold corresponding to the filter element, determining the filter element valid information as the filter element detection information.

[0075] The filter element invalid information may be information that the filter element needs to be replaced, information that the filter element needs to be cleaned, or information that the filter element needs to be repaired, which is not limited here.

[0076] Furthermore, based on the flow meter reading, the amount of water processed by the filter element deployed in the water purification equipment is determined, including: converting the flow meter reading into a flow value, converting the flow value into a processing flow value of the filter element based on the position of the flow meter in the water purification equipment and the position of the filter element in the water purification equipment, and determining the amount of water processed by the filter element based on the processing flow value of the filter element.

[0077] As one embodiment, according to the position of the flow meter in the water purification equipment and the position of the filter element in the water purification equipment, the flow value is converted into a processing flow value of the filter element, including: according to the position of the flow meter in the water purification equipment and the position of the filter element in the water purification equipment, the interval distance between the flow meter and the filter element is determined, and according to the interval distance between the flow meter and the filter element, the flow value is converted into the processing flow value of the filter element, wherein the shorter the interval distance is, the smaller the difference between the flow value and the processing flow value is.

[0078] As an embodiment, the water volume processed by the filter element is determined according to the processing flow value of the filter element, including: obtaining the flow accumulation time corresponding to the flow meter, and determining the product of the processing flow value and the flow accumulation time as the water volume processed by the filter element.

[0079] Step 504, when the flow meter fault detection information indicates that a fault exists, the operation time information of the water purification device is obtained, and the effectiveness of the filter element deployed in the water purification device is detected based on the operation time information to obtain the filter element detection information.

[0080] As an embodiment, step 504 includes: the operating time information includes at least one of the pumping time information, the filter element usage time information and the water purification equipment operating time information; according to the operating time information, the cumulative usage time of the filter element deployed in the water purification equipment is determined; when the cumulative usage time is greater than the usage time threshold corresponding to the filter element, the filter element invalid information is determined as the filter element detection information; when the cumulative usage time is not greater than the usage time threshold corresponding to the filter element, the filter element valid information is determined as the filter element detection information.

[0081] Among them, the longer the pump operation time represented by the pump operation time information, the longer the cumulative usage time of the filter element is determined; the longer the filter element usage time represented by the filter element usage time information, the longer the cumulative usage time of the filter element is determined; the longer the water purification equipment operation time represented by the water purification equipment operation time information, the longer the cumulative usage time of the filter element is determined.

[0082] Among them, the usage time threshold can be set by the user as needed, or it can be the maximum usage time corresponding to the filter element. Specifically, the usage time threshold matches the filter element model corresponding to the filter element. The better the filter element quality represented by the filter element model corresponding to the filter element, the larger the usage time threshold.

[0083] In the present embodiment, when the flow meter fault detection information is that there is no fault, the effectiveness of the filter element deployed in the water purification equipment is detected according to the flow meter reading, and the filter element detection information is obtained; when the flow meter fault detection information is that there is a fault, the operation time information of the water purification equipment is obtained, and according to the operation time information, the effectiveness of the filter element deployed in the water purification equipment is detected to obtain the filter element detection information. When the flow meter fault detection information is that there is no fault, it means that the flow meter reading of the flow meter at this time is credible, then, the flow meter reading can be used as the basis information for the filter element effectiveness detection, and the effectiveness of the filter element deployed in the water purification equipment is detected to obtain the filter element detection information; when the flow meter fault detection information is that there is a fault, it means that the flow meter reading of the flow meter at this time is unreliable, then, the operation time information can be used as the basis information for the filter element effectiveness detection, and the effectiveness of the filter element deployed in the water purification equipment is detected to obtain the filter element detection information; in summary, the accuracy of the filter element effectiveness detection is guaranteed.

[0084] As a more detailed embodiment, equipment information of a water purification device is obtained, wherein the equipment information includes at least one of equipment component information, equipment usage information and equipment processing information; based on the equipment information, the water purification capacity of the water purification device is evaluated to obtain water purification capacity evaluation information of the water purification device; based on the water purification capacity evaluation information, a flow range corresponding to the water purification device is generated; when there are multiple target flow meter readings among multiple flow meter sub-readings and the flow values ​​corresponding to the multiple target flow meter readings are outside the flow range, and the flow duration corresponding to the multiple target flow meter readings is greater than a preset duration threshold, the flow meter fault detection information of the flow meter is determined to be a fault.

[0085] Furthermore, when the flow meter fault detection information shows that there is no fault, the water volume processed by the filter element deployed in the water purification equipment is determined according to the flow meter reading; when the processed water volume is greater than the processed water volume threshold corresponding to the filter element, the filter element invalid information is determined as the filter element detection information; when the processed water volume is not greater than the processed water volume threshold corresponding to the filter element, the filter element valid information is determined as the filter element detection information; when the flow meter fault detection information shows that there is a fault, the operating time information of the water purification equipment is obtained, and according to the operating time information, the cumulative usage time of the filter element deployed in the water purification equipment is determined; when the cumulative usage time is greater than the usage time threshold corresponding to the filter element, the filter element invalid information is determined as the filter element detection information; when the cumulative usage time is not greater than the usage time threshold corresponding to the filter element, the filter element valid information is determined as the filter element detection information.

[0086] In this embodiment, the flow meter reading of the flow meter deployed in the water purification equipment is obtained; based on the flow meter reading, the operation fault of the flow meter is detected to obtain flow meter fault detection information of the flow meter; based on the flow meter fault detection information, the effectiveness of the filter element deployed in the water purification equipment is detected to obtain filter element detection information, and the flow meter fault detection information is used as the basis for the effectiveness of the filter element. Considering that when the flow meter has an operation fault, there is a risk of low accuracy in the filter element effectiveness detection when the flow meter reading is used as the basis for the filter element effectiveness detection, the accuracy of the filter element effectiveness detection is improved.

[0087] Furthermore, when there are multiple target flow meter readings among multiple flow meter sub-readings whose flow values ​​are outside the flow range, and the flow duration corresponding to the multiple target flow meter readings is greater than the preset duration threshold, it means that the multiple target flow meter readings are not affected by the abnormal water purification condition of the water purification equipment, that is, the multiple target flow meter readings at this time can characterize that the flow meter readings do not match the flow during normal use of the water purification equipment, so it is determined that the flow meter is faulty; and, when the flow meter fault detection information is that there is no fault, it means that the flow meter reading of the flow meter at this time is credible, then, the flow meter reading can be used as the basis information for the filter element effectiveness detection, and the effectiveness of the filter element deployed in the water purification equipment is detected to obtain the filter element detection information; when the flow meter fault detection information is that there is a fault, it means that the flow meter reading of the flow meter at this time is unreliable, then, the operating time information can be used as the basis information for the filter element effectiveness detection, and the effectiveness of the filter element deployed in the water purification equipment is detected to obtain the filter element detection information; in summary, the accuracy of the filter element effectiveness detection is guaranteed.

[0088] It should be understood that, although the steps in the flowcharts involved in the above embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps is not strictly limited in order, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above embodiments may include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0089] Based on the same inventive concept, the embodiment of the present application also provides a filter element effectiveness detection device for implementing the filter element effectiveness detection method involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more filter element effectiveness detection device embodiments provided below can refer to the limitations of the filter element effectiveness detection method above, and will not be repeated here.

[0090] In one embodiment, Figure 6 As shown, a filter element effectiveness detection device 600 is provided, comprising: an acquisition module 602 and a detection module 604, wherein:

[0091] An acquisition module 602 is used to acquire a flow meter reading of a flow meter deployed in a water purification device;

[0092] The detection module 604 is used to detect the operating fault of the flow meter according to the flow meter reading and obtain the flow meter fault detection information of the flow meter; based on the flow meter fault detection information, the effectiveness of the filter element deployed in the water purification equipment is detected to obtain the filter element detection information.

[0093] In one embodiment, the flow meter reading includes multiple flow meter sub-readings read at multiple time points respectively; the detection module 604 is also used to: obtain the flow range corresponding to the water purification equipment; when there are multiple target flow meter readings corresponding to the flow values ​​outside the flow range among the multiple flow meter sub-readings, and the flow duration corresponding to the multiple target flow meter readings is greater than the preset duration threshold, determine that the flow meter fault detection information of the flow meter is a fault.

[0094] In one embodiment, the detection module 604 is also used to obtain equipment information of the water purification equipment, wherein the equipment information includes at least one of equipment component information, equipment usage information and equipment processing information; and generate a flow range corresponding to the water purification equipment based on the equipment information.

[0095] In one embodiment, the detection module 604 is also used to evaluate the water purification capacity of the water purification equipment according to the equipment information to obtain the water purification capacity evaluation information of the water purification equipment; and generate the flow range corresponding to the water purification equipment according to the water purification capacity evaluation information.

[0096] In one embodiment, the detection module 604 is also used to detect the effectiveness of the filter element deployed in the water purification equipment according to the flow meter reading when the flow meter fault detection information shows that there is no fault, and obtain the filter element detection information; when the flow meter fault detection information shows that there is a fault, obtain the operating time information of the water purification equipment, and detect the effectiveness of the filter element deployed in the water purification equipment according to the operating time information to obtain the filter element detection information.

[0097] In one embodiment, the detection module 604 is also used to determine the treated water volume of the filter element deployed in the water purification equipment based on the flow meter reading; when the treated water volume is greater than the treated water volume threshold corresponding to the filter element, the filter element invalid information is determined as the filter element detection information; when the treated water volume is not greater than the treated water volume threshold corresponding to the filter element, the filter element valid information is determined as the filter element detection information.

[0098] In one embodiment, the operating time information includes at least one of pumping time information, filter element usage time information and water purification equipment operating time information; the detection module 604 is also used to determine the cumulative usage time of the filter element deployed in the water purification equipment based on the operating time information; when the cumulative usage time is greater than the usage time threshold corresponding to the filter element, the filter element invalid information is determined as the filter element detection information; when the cumulative usage time is not greater than the usage time threshold corresponding to the filter element, the filter element valid information is determined as the filter element detection information.

[0099] Each module in the above filter element effectiveness detection device can be implemented in whole or in part by software, hardware, or a combination thereof. Each module can be embedded in or independent of a processor in an electronic device in the form of hardware, or can be stored in a memory in an electronic device in the form of software, so that the processor can call and execute the operations corresponding to each module.

[0100] In one embodiment, an electronic device is provided. The electronic device may be a terminal, and its internal structure diagram may be as follows: Figure 7As shown. The electronic device includes a processor, a memory, an input / output interface, a communication interface, a display unit and an input device. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface, the display unit and the input device are connected to the system bus through the input / output interface. The processor of the electronic device is used to provide computing and control capabilities. The memory of the electronic device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the electronic device is used to exchange information between the processor and an external device. The communication interface of the electronic device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be realized through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. When the computer program is executed by the processor, a filter element effectiveness detection method is implemented. The display unit of the electronic device is used to form a visually visible picture, which can be a display screen, a projection device or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the electronic device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the electronic device casing, or an external keyboard, touchpad or mouse.

[0101] Those skilled in the art will understand that Figure 7 The structure shown in the figure is merely a block diagram of a partial structure related to the scheme of the present application, and does not constitute a limitation on the electronic device to which the scheme of the present application is applied. The specific electronic device may include more or fewer components than shown in the figure, or combine certain components, or have a different arrangement of components.

[0102] In one embodiment, an electronic device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above-mentioned method embodiments when executing the computer program.

[0103] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0104] In one embodiment, a computer program product is provided, including a computer program, which implements the steps in the above method embodiments when executed by a processor.

[0105] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.

[0106] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0107] The above embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A method for detecting the effectiveness of a filter element, characterized in that: The method comprises: Obtain flow meter readings of flow meters deployed at water purification equipment; Detecting an operation fault of the flow meter according to the flow meter reading to obtain flow meter fault detection information of the flow meter; According to the flow meter fault detection information, the effectiveness of the filter element deployed in the water purification equipment is detected to obtain filter element detection information.

2. The method according to claim 1, characterized in that The flow meter reading includes a plurality of flow meter sub-readings respectively read at a plurality of time points; the flow meter operation fault is detected according to the flow meter reading to obtain flow meter fault detection information of the flow meter, including: Obtaining the flow range corresponding to the water purification equipment; When the flow values ​​corresponding to multiple target flow meter readings among the multiple flow meter sub-readings are outside the flow range, and the flow duration corresponding to the multiple target flow meter readings is greater than a preset duration threshold, the flow meter fault detection information of the flow meter is determined to be faulty.

3. The method according to claim 2, characterized in that The obtaining of the flow range corresponding to the water purification equipment includes: Acquire equipment information of the water purification equipment, wherein the equipment information includes at least one of equipment component information, equipment usage information and equipment processing information; According to the equipment information, a flow range corresponding to the water purification equipment is generated.

4. The method according to claim 3, characterized in that Generating the flow range corresponding to the water purification device according to the device information includes: According to the equipment information, the water purification capacity of the water purification equipment is evaluated to obtain water purification capacity evaluation information of the water purification equipment; A flow range corresponding to the water purification equipment is generated according to the water purification capacity evaluation information.

5. The method according to claim 1, characterized in that The method of detecting the effectiveness of the filter element deployed in the water purification device according to the flow meter fault detection information to obtain the filter element detection information includes: When the flow meter fault detection information indicates that there is no fault, the effectiveness of the filter element deployed in the water purification device is detected according to the flow meter reading to obtain filter element detection information; When the flow meter fault detection information indicates that a fault exists, the operating time information of the water purification device is obtained, and the effectiveness of the filter element deployed in the water purification device is detected based on the operating time information to obtain filter element detection information.

6. The method according to claim 5, characterized in that The effectiveness of the filter element deployed in the water purification device is detected according to the flow meter reading to obtain the filter element detection information, including: Determining the amount of water treated by the filter element deployed in the water purification device based on the flow meter reading; When the treated water volume is greater than the treated water volume threshold corresponding to the filter element, determining the filter element invalid information as the filter element detection information; When the treated water volume is not greater than the treated water volume threshold corresponding to the filter element, the filter element valid information is determined as the filter element detection information.

7. The method according to claim 5, characterized in that The operation time information includes at least one of pumping time information, filter element use time information and water purification equipment operation time information; the effectiveness of the filter element deployed in the water purification equipment is detected according to the operation time information to obtain the filter element detection information, including: Determining the accumulated usage time of the filter element deployed in the water purification device according to the operating time information; When the accumulated usage time is greater than the usage time threshold corresponding to the filter element, the filter element invalid information is determined as the filter element detection information; When the accumulated usage time is not greater than the usage time threshold corresponding to the filter element, the filter element valid information is determined as the filter element detection information.

8. A filter element effectiveness detection device, characterized in that: The device comprises: An acquisition module, used to obtain a flow meter reading of a flow meter deployed in a water purification device; A detection module is used to detect the operating fault of the flow meter according to the flow meter reading to obtain flow meter fault detection information of the flow meter; based on the flow meter fault detection information, the effectiveness of the filter element deployed in the water purification equipment is detected to obtain filter element detection information.

9. An electronic device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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