Positive and negative flushing state operation monitoring method for intelligent combined water purifier

Abstract

The invention relates to the field of comprehensive multi-state monitoring of intelligent combined water purifiers, in particular to a positive and negative flushing state operation monitoring method for an intelligent combined water purifier. Comprising the following steps: performing initialization processing by utilizing real-time operation data of the intelligent combined water purifier to obtain real-time operation characteristics and real-time operation state trend of the real-time operation data of the intelligent combined water purifier; performing composite verification processing by utilizing the real-time operation characteristics and the real-time operation state trend of the real-time operation data of the intelligent combined water purifier to obtain a composite verification processing result of the real-time operation data of the intelligent combined water purifier; according to the composite verification processing result of the real-time operation data of the intelligent combined water purifier, hysteresis comparison processing is carried out to obtain a positive and negative flushing state operation monitoring result, so that reasonable application of various data measurement environments or non-fixed form acquisition sources in a single scheme is realized, stable output of the result is ensured, and meanwhile, the real-time operation of the intelligent combined water purifier is ensured. And high accuracy of measured data and rapid backtracking assistance when problems exist are realized.

Description

Technical Field

[0001] The present invention relates to the field of comprehensive multi-state monitoring of intelligent combined water purifiers, and particularly to a method for monitoring the operation status of forward and reverse flushing of an intelligent combined water purifier. Background Art

[0002] Due to its advantages such as small volume and high integration, intelligent combined water purifiers have gradually occupied the market and become the main sales force of water purifiers. However, traditional combined water purifiers are only assembled by independent parts, lacking comprehensive monitoring of their operating status. At the same time, the unique forward and reverse flushing function of intelligent combined water purifiers also lacks a targeted real-time monitoring and processing process for the operating status. Summary of the Invention

[0003] In view of the deficiencies of the prior art, the present invention provides a method for monitoring the operation status of forward and reverse flushing of an intelligent combined water purifier, which realizes rapid and accurate monitoring of the forward and reverse flushing status by establishing the operation data trend of the intelligent combined water purifier.

[0004] To achieve the above object, the present invention provides a method for monitoring the operation status of forward and reverse flushing of an intelligent combined water purifier, including: S1. Using the real-time operation data of the intelligent combined water purifier for initialization processing to obtain the real-time operation characteristics and real-time operation status trend of the real-time operation data of the intelligent combined water purifier; S2. Using the real-time operation characteristics and real-time operation status trend of the real-time operation data of the intelligent combined water purifier for composite verification processing to obtain the composite verification processing result of the real-time operation data of the intelligent combined water purifier; S3. According to the composite verification processing result of the real-time operation data of the intelligent combined water purifier, performing a hysteresis comparison processing to obtain the operation monitoring result of the forward and reverse flushing status.

[0005] Preferably, the using the real-time operation data of the intelligent combined water purifier for initialization processing to obtain the real-time operation characteristics and real-time operation status trend of the real-time operation data of the intelligent combined water purifier includes: S1-1. Obtaining the current moment as the acquisition start moment t of the real-time operation data of the intelligent combined water purifier; S1-2. Obtaining the real-time operation data of the intelligent combined water purifier at the acquisition start moment t as the starting reference; S1-3. According to the starting reference, obtaining the measurement wavelength of the starting reference as the real-time operation characteristics of the real-time operation data of the intelligent combined water purifier; S1-4. Using the real-time operation characteristics to establish the real-time dynamic trend of the real-time operation data of the intelligent combined water purifier according to the current moment.

[0006] Further, establishing a real-time dynamic trend of the real-time operation data of the intelligent combined water purifier at the current moment based on the real-time operation characteristics at the current moment includes: S1-4-1. Obtain the real-time operation characteristics corresponding to the (t-1)th moment and the real-time operation characteristics corresponding to the (t-2)th moment of the real-time operation characteristics at the collection start moment t; S1-4-2. Respectively obtain the real-time operation data of the intelligent combined water purifier at the (t-1)th moment and the real-time operation data of the intelligent combined water purifier at the (t-2)th moment according to the real-time operation characteristics at the (t-1)th moment and the real-time operation characteristics at the (t-2)th moment; S1-4-3. Establish a pre-moment feature trend mapping using the real-time operation characteristics at the (t-2)th moment and the real-time operation characteristics at the (t-1)th moment; S1-4-4. Establish a current-moment feature trend mapping using the real-time operation characteristics at the (t-1)th moment and the real-time operation characteristics at the collection start moment t; S1-4-5. Establish a pre-moment data trend mapping using the real-time operation data of the intelligent combined water purifier at the (t-2)th moment and the real-time operation data of the intelligent combined water purifier at the (t-1)th moment; S1-4-6. Establish a current-moment data trend mapping using the real-time operation data of the intelligent combined water purifier at the (t-1)th moment and the real-time operation data of the intelligent combined water purifier at the collection start moment t; S1-4-7. Use the mapping trends of the pre-moment feature trend mapping and the current-moment feature trend mapping as the real-time feature dynamic trend at the current moment; S1-4-8. Use the mapping trends of the pre-moment data trend mapping and the current-moment data trend mapping as the real-time operation state trend at the current moment; S1-4-9. Judge whether the trend directions of the real-time feature dynamic trend and the real-time operation state trend at the current moment are consistent. If so, use the real-time feature dynamic trend and the real-time operation state trend at the current moment as the real-time dynamic trend of the real-time operation data of the intelligent combined water purifier at the current moment; otherwise, return to S1-4-1; Wherein, the mapping trend is the numerical trend of the pre-moment value and the post-moment value in the mapping. When the pre-moment value is greater than the post-moment value, the mapping trend is downward; when the pre-moment value is less than the post-moment value, the mapping trend is upward.

[0007] Further, performing a composite verification process using the real-time operation characteristics and the real-time operation state trend of the real-time operation data of the intelligent combined water purifier to obtain a composite verification result of the real-time operation data of the intelligent combined water purifier includes: S2-1. Obtain the measurement environment data of the real-time operation data of the intelligent combined water purifier as the traceability verification label according to the real-time operation data of the intelligent combined water purifier; S2-2. Establish a data benchmark dataset based on the historical real-time operation data of the intelligent combined water purifier corresponding to the traceability verification label obtained according to the traceability verification label; S2-3. Establish a characteristic benchmark dataset based on the historical real-time operation data of the intelligent combined water purifier with the same wavelength obtained according to the traceability verification label; S2-4. Perform composite verification processing using the data benchmark dataset, the characteristic benchmark dataset and the real-time dynamic trend to obtain the composite verification processing result of the real-time operation data of the intelligent combined water purifier; Among them, the measurement environment data includes the sensor ambient temperature, the sensor ambient humidity and the ambient radiation value during the measurement process of the real-time operation data of the intelligent combined water purifier.

[0008] Further, performing composite verification processing using the data benchmark dataset, the characteristic benchmark dataset and the real-time dynamic trend to obtain the composite verification processing result of the real-time operation data of the intelligent combined water purifier includes: S2-4-1. Judge whether the mapping trends of the real-time dynamic trends are consistent. If so, execute S2-4-2; otherwise, execute S2-4-3; S2-4-2. Judge whether there is a corresponding subset of the real-time characteristic dynamic trend of the real-time dynamic trend in the data benchmark dataset. If so, obtain the subset corresponding to the real-time characteristic dynamic trend in the data benchmark dataset as the composite verification process label and execute S2-4-4; otherwise, execute S2-4-3; S2-4-3. Judge whether there is a corresponding subset of the real-time operation state trend of the real-time dynamic trend in the characteristic benchmark dataset. If so, obtain the subset corresponding to the real-time operation state trend in the characteristic benchmark dataset as the composite verification process label and execute S2-4-4; otherwise, return to S2-1; S2-4-4. Obtain the mapping trend of the historical real-time operation data of the intelligent combined water purifier corresponding to the composite verification process label and judge whether it is relatively consistent with the mapping trend of the real-time dynamic trend. If so, use the composite verification process label as the composite verification processing result of the real-time operation data of the intelligent combined water purifier; otherwise, perform independent backtracking processing.

[0009] Further, the independent backtracking processing includes: S2-4-4-1. Obtain the measurement environment data and the measurement wavelength corresponding to the composite verification process label respectively; S2-4-4-2. Determine whether the measurement wavelength corresponding to the composite verification process label meets the measurement standard. If so, execute S2-4-4-3; otherwise, the measurement wavelength is abnormal and the process is aborted. S2-4-4-3. Determine whether the environmental radiation value of the measurement environmental data corresponding to the composite verification process label is relatively consistent with the environmental radiation value of the measurement environmental data corresponding to the real-time operation data of the intelligent combined water purifier. If so, execute S2-4-4-4; otherwise, the environmental radiation value is abnormal and the process is aborted. S2-4-4-4. Determine whether the sensor environmental temperature and sensor environmental humidity of the measurement environmental data corresponding to the composite verification process label correspond to each other. If so, execute S2-4-4-5; otherwise, the sensor environmental temperature and sensor environmental humidity are abnormal and the process is aborted. S2-4-4-5. Determine whether the execution times of the independent backtracking process at the current moment are greater than 1. If so, return to S2-1; otherwise, the process is aborted. Among them, the measurement standard is the high-frequency electromagnetic wave corresponding to the measured electromagnetic wave. The relative consistency between the environmental radiation value of the measurement environmental data corresponding to the composite verification process label and the environmental radiation value of the measurement environmental data corresponding to the real-time operation data of the intelligent combined water purifier is defined as the relative fluctuation of the environmental radiation value not exceeding 5%.

[0010] Further, the hysteresis comparison process is performed based on the composite verification processing result of the real-time operation data of the intelligent combined water purifier to obtain the operation monitoring result of the positive and negative flushing states, including: S3-1. Obtain the real-time operation data of the intelligent combined water purifier at the adjacent next moment corresponding to the acquisition start time t as the real-time operation data of the intelligent combined water purifier at time t+1. S3-2. Use the real-time operation data of the intelligent combined water purifier at time t+1 to establish a hysteresis comparison label at the acquisition start time t. S3-3. Use the hysteresis comparison label at the acquisition start time t to perform a hysteresis comparison process on the composite verification processing result of the real-time operation data of the intelligent combined water purifier to obtain the basic analysis result of the electromagnetic wave measurement data. S3-4. Obtain the operation monitoring result of the positive and negative flushing states according to the basic analysis result of the electromagnetic wave measurement data.

[0011] Further, using the real-time operation data of the intelligent combined water purifier at time t+1 to establish a hysteresis comparison label at the acquisition start time t includes: Obtain the measurement environmental data corresponding to the real-time operation data of the intelligent combined water purifier at time t+1 as the first-level hysteresis comparison label at the acquisition start time t. Obtain the real-time dynamic trend corresponding to the real-time operation data of the intelligent combined water purifier at the (t + 1)th moment as the hysteretic secondary comparison label at the acquisition start time t; Use the real-time operation data of the intelligent combined water purifier at the (t + 1)th moment as the hysteretic tertiary comparison label at the acquisition start time t; Use the hysteretic primary comparison label, hysteretic secondary comparison label, and hysteretic tertiary comparison label at the acquisition start time t as the hysteretic comparison label at the acquisition start time t.

[0012] Further, perform hysteretic comparison processing on the hysteretic comparison label at the acquisition start time t for the compound verification processing result of the real-time operation data of the intelligent combined water purifier to obtain the basic analysis result of electromagnetic wave measurement data, including: S3-1-1. Determine whether the hysteretic primary comparison label corresponding to the hysteretic comparison label at the acquisition start time t corresponds to the compound verification processing result of the real-time operation data of the intelligent combined water purifier. If so, execute S3-1-2; otherwise, the hysteretic comparison processing fails, the measurement environment data is abnormal, and the output basic analysis result of electromagnetic wave measurement data is empty; S3-1-2. Determine whether the hysteretic secondary comparison label corresponding to the hysteretic comparison label at the acquisition start time t corresponds to the compound verification processing result of the real-time operation data of the intelligent combined water purifier. If so, execute S3-1-3; otherwise, the hysteretic comparison processing fails, the mapping trend is abnormal, and the output basic analysis result of electromagnetic wave measurement data is empty; S3-1-3. Determine whether the hysteretic tertiary comparison label corresponding to the hysteretic comparison label at the acquisition start time t corresponds to the compound verification processing result of the real-time operation data of the intelligent combined water purifier. If so, the hysteretic comparison processing passes, and the compound verification processing result is output as the basic analysis result of electromagnetic wave measurement data; otherwise, the hysteretic comparison processing fails, and the real-time operation data of the intelligent combined water purifier at the (t + 1)th moment is output as the basic analysis result of electromagnetic wave measurement data.

[0013] Further, obtain the operation monitoring result of the positive and negative flushing states according to the basic analysis result of the electromagnetic wave measurement data, including: S3-4-1. Determine whether the basic analysis result of the electromagnetic wave measurement data exists. If so, execute S3-4-2; otherwise, directly execute S3-4-3; S3-4-2. Determine whether the corresponding time of the basic analysis result of the electromagnetic wave measurement data is the starting acquisition time t. If it is, output the real-time operation data of the intelligent combined water purifier at the starting acquisition time t, use the current time as the updated starting acquisition time t, and return to S1-1. Otherwise, output the real-time operation data of the intelligent combined water purifier at the starting acquisition time t and the real-time operation data of the intelligent combined water purifier at time t+1 as the operation monitoring result of the positive and negative flushing state, use time t+1 as the updated starting acquisition time t, and return to S1-1; S3-4-3. Determine whether the basic analysis result of the electromagnetic wave measurement data corresponds to abnormal measurement environment data. If it is, output the real-time operation data of the intelligent combined water purifier at the starting acquisition time t and the measurement environment data, use time t+1 as the updated starting acquisition time t, and return to S1-1. Otherwise, obtain the real-time operation data of the intelligent combined water purifier at the output starting acquisition time t and the corresponding real-time dynamic trend as the operation monitoring result of the positive and negative flushing state, use time t+1 as the updated starting acquisition time t, and return to S1-1.

[0014] Compared with the closest prior art, the beneficial effects of the present invention are as follows: Considering the application scenario of the solution, it may be a real-time networking environment or a storage-based acquisition and monitoring environment. Therefore, the overall solution is a closed-loop process. After real-time data acquisition, based on the environmental factors of data acquisition and multi-level research and judgment processing of the same type of historical data, the reasonable application of multiple types of data measurement environments or non-fixed form acquisition sources within a single solution is realized. While ensuring stable output of results, high accuracy of measurement data is achieved, as well as rapid backtracking assistance when there are problems. Description of the Drawings

[0015] Figure 1 It is a flowchart of a method for monitoring the positive and negative flushing state of an intelligent combined water purifier provided by the present invention. Detailed Embodiments

[0016] The following further elaborates the detailed embodiments of the present invention with reference to the accompanying drawings.

[0017] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0018] Embodiment 1: The present invention provides a method for monitoring the operation of a smart combined water purifier in the forward and reverse flushing states, as Figure 1 shown, including: S1. Use the real-time operation data of the smart combined water purifier for initialization processing to obtain the real-time operation characteristics and real-time operation state trends of the real-time operation data of the smart combined water purifier; S2. Use the real-time operation characteristics and real-time operation state trends of the real-time operation data of the smart combined water purifier for composite verification processing to obtain the composite verification processing result of the real-time operation data of the smart combined water purifier; S3. Perform a hysteresis comparison process based on the composite verification processing result of the real-time operation data of the smart combined water purifier to obtain the operation monitoring result of the forward and reverse flushing states.

[0019] S1 specifically includes: S1-1. Obtain the current moment as the acquisition start moment t of the real-time operation data of the smart combined water purifier; S1-2. Obtain the real-time operation data of the smart combined water purifier at the acquisition start moment t as the starting reference; S1-3. Obtain the measurement wavelength of the starting reference as the real-time operation characteristic of the real-time operation data of the smart combined water purifier; S1-4. Use the real-time operation characteristic to establish the real-time dynamic trend of the real-time operation data of the smart combined water purifier at the current moment based on the current moment.

[0020] S1-4 specifically includes: S1-4-1. Obtain the real-time operation characteristics corresponding to the t-1 moment and the t-2 moment of the real-time operation characteristic at the acquisition start moment t; S1-4-2. Obtain the real-time operation data of the smart combined water purifier at the t-1 moment and the real-time operation data of the smart combined water purifier at the t-2 moment according to the real-time operation characteristics at the t-1 moment and the t-2 moment respectively; S1-4-3. Use the real-time operation characteristics at the t-2 moment and the t-1 moment to establish a pre-position moment characteristic trend mapping; S1-4-4. Use the real-time operation characteristics at the t-1 moment and the acquisition start moment t to establish a current moment characteristic trend mapping; S1-4-5. Use the real-time operation data of the smart combined water purifier at the t-2 moment and the real-time operation data of the smart combined water purifier at the t-1 moment to establish a pre-position moment data trend mapping; S1-4-6. Use the real-time operation data of the smart combined water purifier at the t-1 moment and the real-time operation data of the smart combined water purifier at the acquisition start moment t to establish a current moment data trend mapping; S1-4-7. Use the mapping trends of the pre-time feature trend mapping and the current-time feature trend mapping as the real-time feature dynamic trend at the current time; S1-4-8. Use the mapping trends of the pre-time data trend mapping and the current-time data trend mapping as the real-time operating state trend at the current time; S1-4-9. Determine whether the trend directions of the real-time feature dynamic trend and the real-time operating state trend at the current time are consistent. If so, use the real-time feature dynamic trend and the real-time operating state trend at the current time as the real-time dynamic trend of the real-time operating data of the intelligent combined water purifier at the current time. Otherwise, return to S1-4-1; Among them, the mapping trend is the numerical trend of the pre-time value and the post-time value in the mapping. When the pre-time value is greater than the post-time value, the mapping trend is downward; when the pre-time value is less than the post-time value, the mapping trend is upward.

[0021] S2 specifically includes: S2-1. Obtain the measurement environment data of the real-time operating data of the intelligent combined water purifier as the traceability verification label according to the real-time operating data of the intelligent combined water purifier; S2-2. Establish a data reference dataset for the historical real-time operating data of the intelligent combined water purifier corresponding to the traceability verification label according to the traceability verification label; S2-3. Establish a feature reference dataset for the historical real-time operating data of the intelligent combined water purifier with the same wavelength according to the traceability verification label; S2-4. Perform composite verification processing using the data reference dataset, the feature reference dataset, and the real-time dynamic trend to obtain the composite verification processing result of the real-time operating data of the intelligent combined water purifier; Among them, the measurement environment data includes the sensor ambient temperature, sensor ambient humidity, and ambient radiation value during the measurement process of the real-time operating data of the intelligent combined water purifier.

[0022] S2-4 specifically includes: S2-4-1. Determine whether the mapping trends of the real-time dynamic trends are consistent. If so, execute S2-4-2; otherwise, execute S2-4-3; S2-4-2. Determine whether there is a corresponding subset of the real-time feature dynamic trend in the data reference dataset of the real-time dynamic trend. If so, obtain the subset corresponding to the real-time feature dynamic trend in the data reference dataset as the composite verification process label and execute S2-4-4; otherwise, execute S2-4-3; S2-4-3. Determine whether there is a corresponding subset of the real-time operation status trend of the real-time dynamic trend in the characteristic reference dataset. If so, obtain the subset corresponding to the real-time operation status trend in the characteristic reference dataset as the composite verification process label, and execute S2-4-4. Otherwise, return to S2-1; S2-4-4. Obtain the mapping trend of the real-time operation data of the historical intelligent combined water purifier corresponding to the composite verification process label at t+ and determine whether it is relatively consistent with the mapping trend of the real-time dynamic trend. If so, use the composite verification process label as the composite verification processing result of the real-time operation data of the intelligent combined water purifier. Otherwise, perform independent backtracking processing.

[0023] S2-4-4 specifically includes: S2-4-4-1. Respectively obtain the measurement environment data and measurement wavelength corresponding to the composite verification process label; S2-4-4-2. Determine whether the measurement wavelength corresponding to the composite verification process label meets the measurement standard. If so, execute S2-4-4-3. Otherwise, the measurement wavelength is abnormal and the processing is abandoned; S2-4-4-3. Determine whether the environmental radiation value of the measurement environment data corresponding to the composite verification process label is relatively consistent with the environmental radiation value of the measurement environment data corresponding to the real-time operation data of the intelligent combined water purifier. If so, execute S2-4-4-4. Otherwise, the environmental radiation value is abnormal and the processing is abandoned; S2-4-4-4. Determine whether the sensor environmental temperature and sensor environmental humidity of the measurement environment data corresponding to the composite verification process label correspond to each other. If so, execute S2-4-4-5. Otherwise, the sensor environmental temperature and sensor environmental humidity are abnormal and the processing is abandoned; S2-4-4-5. Determine whether the execution times of the independent backtracking processing at the current moment are greater than 1. If so, return to S2-1. Otherwise, abandon the processing; Among them, the measurement standard is the high-frequency electromagnetic wave corresponding to the measured electromagnetic wave, and the relative consistency between the environmental radiation value of the measurement environment data corresponding to the composite verification process label and the environmental radiation value of the measurement environment data corresponding to the real-time operation data of the intelligent combined water purifier is defined as the relative fluctuation of the environmental radiation value not exceeding 5%.

[0024] S3 specifically includes: S3-1. Obtain the real-time operation data of the intelligent combined water purifier at the adjacent next moment corresponding to the acquisition start time t as the real-time operation data of the intelligent combined water purifier at t+1 moment; S3-2. Use the real-time operation data of the intelligent combined water purifier at t+1 moment to establish a hysteresis comparison label for the acquisition start time t; S3-3. Use the hysteresis of the acquisition start time t to perform a hysteresis comparison process on the composite verification processing result of the real-time operation data of the intelligent combined water purifier by the tag pair to obtain the basic analysis result of the electromagnetic wave measurement data; S3-4. Obtain the operation monitoring result of the positive and reverse flushing states according to the basic analysis result of the electromagnetic wave measurement data.

[0025] S3-2 specifically includes: S3-2-1. Obtain the measurement environment data corresponding to the real-time operation data of the intelligent combined water purifier at the moment t+1 as the first-level hysteresis comparison tag of the acquisition start time t; S3-2-2. Obtain the real-time dynamic trend corresponding to the real-time operation data of the intelligent combined water purifier at the moment t+1 as the second-level hysteresis comparison tag of the acquisition start time t; S3-2-3. Use the real-time operation data of the intelligent combined water purifier at the moment t+1 as the third-level hysteresis comparison tag of the acquisition start time t; S3-2-4. Use the first-level hysteresis comparison tag, the second-level hysteresis comparison tag, and the third-level hysteresis comparison tag of the acquisition start time t as the hysteresis comparison tag of the acquisition start time t.

[0026] S3-1 specifically includes: S3-1-1. Judge whether the composite verification processing result corresponding to the first-level hysteresis comparison tag of the hysteresis comparison tag of the acquisition start time t corresponds to the real-time operation data of the intelligent combined water purifier. If so, execute S3-1-2; otherwise, the hysteresis comparison process fails, the measurement environment data is abnormal, and the basic analysis result of the electromagnetic wave measurement data is output as empty; S3-1-2. Judge whether the composite verification processing result corresponding to the second-level hysteresis comparison tag of the hysteresis comparison tag of the acquisition start time t corresponds to the real-time operation data of the intelligent combined water purifier. If so, execute S3-1-3; otherwise, the hysteresis comparison process fails, the mapping trend is abnormal, and the basic analysis result of the electromagnetic wave measurement data is output as empty; S3-1-3. Judge whether the composite verification processing result corresponding to the third-level hysteresis comparison tag of the hysteresis comparison tag of the acquisition start time t corresponds to the real-time operation data of the intelligent combined water purifier. If so, the hysteresis comparison process passes, and the composite verification processing result is output as the basic analysis result of the electromagnetic wave measurement data; otherwise, the hysteresis comparison process fails, and the real-time operation data of the intelligent combined water purifier at the moment t+1 is output as the basic analysis result of the electromagnetic wave measurement data.

[0027] S3-4 specifically includes: S3-4-1. Determine whether the basic analysis result of the electromagnetic wave measurement data exists. If it does, execute S3-4-2; otherwise, directly execute S3-4-3. S3-4-2. Determine whether the corresponding moment of the basic analysis result of the electromagnetic wave measurement data is the acquisition start moment t. If it is, output the real-time operation data of the intelligent combined water purifier at the acquisition start moment t, use the current moment as the updated acquisition start moment t, and return to S1-1. Otherwise, output the real-time operation data of the intelligent combined water purifier at the acquisition start moment t and the real-time operation data of the intelligent combined water purifier at the moment t+1 as the operation monitoring result of the positive and negative flushing state, use the moment t+1 as the updated acquisition start moment t, and return to S1-1. S3-4-3. Determine whether the basic analysis result of the electromagnetic wave measurement data corresponds to abnormal measurement environment data. If it does, output the real-time operation data of the intelligent combined water purifier at the acquisition start moment t and the measurement environment data, use the moment t+1 as the updated acquisition start moment t, and return to S1-1. Otherwise, obtain the real-time operation data of the intelligent combined water purifier at the acquisition start moment t and the corresponding real-time dynamic trend as the operation monitoring result of the positive and negative flushing state, use the moment t+1 as the updated acquisition start moment t, and return to S1-1.

[0028] Those skilled in the art should understand that the embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk memories, CD-ROMs, optical memories, etc.) containing computer-usable program codes.

[0029] The present invention is described with reference to the flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as the combination of processes and / or blocks in the flowcharts and / or block diagrams, can be realized by computer program instructions. These computer program instructions can be provided to the processors of general-purpose computers, special-purpose computers, embedded processors, or other programmable data processing devices to generate a machine, so that the instructions executed by the processors of the computer or other programmable data processing devices generate means for realizing the functions specified in Figure 1 one process or multiple processes and / or blocks Figure 1 one block or multiple blocks.

[0030] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to work in a particular manner, such that the instructions stored in the computer-readable memory produce a manufacture including an instruction device that implements the functions specified in one or more of the processes Figure 1 one or more processes and / or blocks Figure 1 specified in the block or blocks.

[0031] These computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process, so that the instructions executed on the computer or other programmable apparatus provide steps for implementing the functions specified in one or more of the processes Figure 1 one or more processes and / or blocks Figure 1 specified in the block or blocks.

[0032] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them. Although the present invention has been described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications or equivalent replacements can still be made to the specific implementation manners of the present invention, and any modifications or equivalent replacements that do not depart from the spirit and scope of the present invention shall be covered by the protection scope of the claims of the present invention.

Claims

1. A method for monitoring the forward and reverse flushing status of an intelligent combined water purifier, characterized in that: include: S1. Using the real-time operation data of the intelligent combination water purifier to perform initialization processing to obtain the real-time operation characteristics and real-time operation status trend of the real-time operation data of the intelligent combination water purifier; S2, using the real-time operation characteristics and real-time operation status trend of the real-time operation data of the intelligent combination water purifier to perform composite verification processing to obtain a composite verification processing result of the real-time operation data of the intelligent combination water purifier; S3. Perform hysteresis comparison processing based on the composite verification processing results of the real-time operation data of the intelligent combined water purifier to obtain forward and reverse flushing state operation monitoring results.

2. A method for monitoring the forward and reverse flushing status of an intelligent combined water purifier according to claim 1, characterized in that: The real-time operation characteristics and real-time operation status trends of the real-time operation data of the intelligent combination water purifier obtained by initializing the real-time operation data of the intelligent combination water purifier include: S1-1, obtaining the current time as the collection start time t of the real-time operation data of the intelligent combined water purifier; S1-2, obtaining the real-time operation data of the intelligent combined water purifier at the collection start time t as a starting reference; S1-3, obtaining the measurement wavelength of the starting reference according to the starting reference as the real-time operation feature of the real-time operation data of the intelligent combined water purifier; S1-4. Using the real-time operation characteristics, a real-time dynamic trend of the real-time operation data of the intelligent combination water purifier at the current moment is established according to the current moment.

3. A method for monitoring the forward and reverse flushing status of an intelligent combined water purifier according to claim 2, characterized in that: The real-time dynamic trend of the real-time operation data of the intelligent combined water purifier at the current moment is established by using the real-time operation characteristics, including: S1-4-1. Obtain the real-time operation characteristics at the collection start time t, corresponding to the real-time operation characteristics at time t-1 and the real-time operation characteristics at time t-2; S1-4-2, respectively obtaining the real-time operation data of the intelligent combined water purifier at time t-1 and the real-time operation data of the intelligent combined water purifier at time t-2 according to the real-time operation characteristics at time t-1 and the real-time operation characteristics at time t-2; S1-4-3, using the real-time operation characteristics at time t-2 and the real-time operation characteristics at time t-1 to establish a preceding time characteristic trend mapping; S1-4-4, using the real-time operation characteristics at time t-1 and the real-time operation characteristics at the collection start time t to establish a characteristic trend mapping at the current time; S1-4-5, using the real-time operation data of the intelligent combined water purifier at time t-2 and the real-time operation data of the intelligent combined water purifier at time t-1 to establish a preceding time data trend mapping; S1-4-6, using the real-time operation data of the intelligent combined water purifier at time t-1 and the real-time operation data of the intelligent combined water purifier at the collection start time t to establish the current time data trend mapping; S1-4-7, using the mapping trend of the previous moment feature trend mapping and the current moment feature trend mapping as the real-time feature dynamic trend at the current moment; S1-4-8, using the mapping trend of the previous moment data trend mapping and the current moment data trend mapping as the real-time operation status trend at the current moment; S1-4-9, determine whether the trend direction of the real-time characteristic dynamic trend at the current moment is consistent with the trend direction of the real-time operating status trend. If so, use the real-time characteristic dynamic trend at the current moment and the real-time operating status trend as the real-time dynamic trend of the real-time operating data of the intelligent combination water purifier at the current moment. Otherwise, return to S1-4-1; Among them, the mapping trend is the numerical trend of the preceding moment value and the following moment value in the mapping. When the preceding moment value is greater than the following moment value, the mapping trend is decreasing; when the preceding moment value is less than the following moment value, the mapping trend is increasing.

4. A method for monitoring the forward and reverse flushing status of an intelligent combined water purifier according to claim 3, characterized in that: The composite verification processing result of the real-time operation data of the intelligent combined water purifier obtained by composite verification processing using the real-time operation characteristics and the real-time operation status trend of the real-time operation data of the intelligent combined water purifier includes: S2-1, obtaining measurement environment data of the real-time operation data of the smart combination water purifier as a traceability verification label according to the real-time operation data of the smart combination water purifier; S2-2, according to the traceability verification tag, obtain the historical intelligent combined water purifier real-time operation data corresponding to the traceability verification tag in the historical intelligent combined water purifier real-time operation data to establish a data benchmark data set; S2-3, obtaining the real-time operation data of the historical intelligent combined water purifier with the same wavelength according to the traceability verification tag to establish a characteristic benchmark data set; S2-4, using the data benchmark data set, the feature benchmark data set and the real-time dynamic trend to perform composite verification processing to obtain a composite verification processing result of the real-time operation data of the intelligent combined water purifier; Among them, the measured environmental data includes the sensor environmental temperature, sensor environmental humidity and environmental radiation value of the real-time operation data of the intelligent combined water purifier during the measurement process.

5. A method for monitoring the forward and reverse flushing status of an intelligent combined water purifier according to claim 4, characterized in that: The composite verification processing results of the real-time operation data of the intelligent combined water purifier obtained by composite verification processing using the data benchmark data set, the feature benchmark data set and the real-time dynamic trend include: S2-4-1, determine whether the mapping trend of the real-time dynamic trend is consistent, if so, execute S2-4-2, otherwise, execute S2-4-3; S2-4-2, determine whether the real-time feature dynamic trend of the real-time dynamic trend has a corresponding subset in the data benchmark data set, if so, obtain the subset corresponding to the real-time feature dynamic trend in the data benchmark data set as a composite verification process label, and execute S2-4-4, otherwise, execute S2-4-3; S2-4-3, determine whether the real-time running status trend of the real-time dynamic trend has a corresponding subset in the feature benchmark data set, if so, obtain the subset corresponding to the real-time running status trend in the feature benchmark data set as a composite verification process label, and execute S2-4-4, otherwise, return to S2-1; S2-4-4. Obtain the t+ to determine whether the mapping trend of the composite verification process label corresponding to the historical real-time operation data of the intelligent combination water purifier is relatively consistent with the mapping trend of the real-time dynamic trend. If so, use the composite verification process label as the composite verification processing result of the real-time operation data of the intelligent combination water purifier. Otherwise, perform independent backtracking processing.

6. A method for monitoring the forward and reverse flushing status of an intelligent combined water purifier according to claim 5, characterized in that: The independent backtracking process includes: S2-4-4-1. Obtain the measurement environment data and measurement wavelength corresponding to the composite verification process label respectively; S2-4-4-2, determine whether the measurement wavelength corresponding to the composite verification process label meets the measurement standard, if so, execute S2-4-4-3, otherwise, the measurement wavelength is abnormal and the process is abandoned; S2-4-4-3, determine whether the environmental radiation value of the measured environmental data corresponding to the composite verification process label is relatively consistent with the environmental radiation value of the measured environmental data corresponding to the real-time operation data of the intelligent combination water purifier. If so, execute S2-4-4-4; otherwise, the environmental radiation value is abnormal and the processing is abandoned; S2-4-4-4, determine whether the sensor ambient temperature and the sensor ambient humidity of the composite verification process tag corresponding to the measured environmental data correspond to each other, if so, execute S2-4-4-5, otherwise, the sensor ambient temperature and the sensor ambient humidity are abnormal, and the processing is abandoned; S2-4-4-5, determine whether the number of executions of the independent backtracking process at the current moment is greater than 1, if so, return to S2-1, otherwise, give up the process; Among them, the measurement standard is to measure electromagnetic waves corresponding to high-frequency electromagnetic waves, and the environmental radiation value of the composite verification process label corresponding to the measured environmental data is relatively consistent with the environmental radiation value of the measured environmental data corresponding to the real-time operation data of the intelligent combination water purifier, which is defined as the relative fluctuation of the environmental radiation value not exceeding 5%.

7. A method for monitoring the forward and reverse flushing status of an intelligent combined water purifier according to claim 5, characterized in that: The hysteresis comparison processing is performed based on the composite verification processing results of the real-time operation data of the intelligent combined water purifier to obtain the forward and reverse flushing state operation monitoring results including: S3-1, obtaining the real-time operation data of the intelligent combined water purifier at the next moment corresponding to the collection start time t as the real-time operation data of the intelligent combined water purifier at time t+1; S3-2, using the real-time operation data of the intelligent combined water purifier at time t+1 to establish a hysteresis comparison tag at the collection start time t; S3-3, using the hysteresis comparison tag at the collection start time t to perform hysteresis comparison processing on the composite verification processing result of the real-time operation data of the intelligent combination water purifier to obtain the basic analysis result of the electromagnetic wave measurement data; S3-4. Obtain forward and reverse flushing status operation monitoring results according to the basic analysis results of the electromagnetic wave measurement data.

8. A method for monitoring the forward and reverse flushing status of an intelligent combined water purifier according to claim 7, characterized in that: Using the real-time operation data of the intelligent combined water purifier at time t+1 to establish the hysteresis comparison label at the collection start time t includes: Obtain the measured environmental data corresponding to the real-time operation data of the intelligent combined water purifier at time t+1 as the hysteresis primary comparison label at the collection start time t; Obtain the real-time dynamic trend corresponding to the real-time operation data of the intelligent combined water purifier at time t+1 as the hysteresis secondary comparison label at the collection start time t; Using the real-time operation data of the intelligent combined water purifier at time t+1 as the hysteresis three-level comparison label at the collection start time t; The hysteresis primary comparison label, the hysteresis secondary comparison label and the hysteresis tertiary comparison label at the collection starting time t are used as the hysteresis comparison label at the collection starting time t.

9. A method for monitoring the forward and reverse flushing status of an intelligent combined water purifier according to claim 8, characterized in that: The hysteresis comparison tag at the collection start time t is used to perform hysteresis comparison processing on the composite verification processing result of the real-time operation data of the intelligent combined water purifier to obtain the basic analysis results of the electromagnetic wave measurement data, including: S3-1-1, determine whether the hysteresis comparison tag corresponding to the hysteresis first-level comparison tag at the collection start time t corresponds to the composite verification processing result of the real-time operation data of the intelligent combination water purifier, if so, execute S3-1-2, otherwise, the hysteresis comparison processing fails, the measurement environment data is abnormal, and the output electromagnetic wave measurement data basic analysis result is empty; S3-1-2, determine whether the hysteresis comparison tag corresponding to the hysteresis secondary comparison tag at the acquisition start time t corresponds to the composite verification processing result of the real-time operation data of the intelligent combination water purifier, if so, execute S3-1-3, otherwise, the hysteresis comparison processing fails, the mapping trend is abnormal, and the output electromagnetic wave measurement data basic analysis result is empty; S3-1-3. Determine whether the hysteresis comparison label at the collection start time t corresponds to the composite verification processing result of the hysteresis third-level comparison label and the real-time operation data of the intelligent combination water purifier. If so, the hysteresis comparison processing is passed, and the composite verification processing result is output as the basic analysis result of the electromagnetic wave measurement data. Otherwise, the hysteresis comparison processing fails, and the real-time operation data of the intelligent combination water purifier at time t+1 is output as the basic analysis result of the electromagnetic wave measurement data.

10. A method for monitoring the forward and reverse flushing status of an intelligent combined water purifier according to claim 9, characterized in that: The forward and reverse flushing status operation monitoring results obtained based on the basic analysis results of the electromagnetic wave measurement data include: S3-4-1, determine whether the basic analysis result of the electromagnetic wave measurement data exists, if so, execute S3-4-2, otherwise, directly execute S3-4-3; S3-4-2, determine whether the corresponding moment of the basic analysis result of the electromagnetic wave measurement data is the collection start time t, if so, output the real-time operation data of the intelligent combination water purifier at the collection start time t, and use the current moment as the updated collection start time t, return to S1-1, otherwise, output the real-time operation data of the intelligent combination water purifier at the collection start time t and the real-time operation data of the intelligent combination water purifier at time t+1 as the forward and reverse flushing state operation monitoring results, and use time t+1 as the updated collection start time t, return to S1-1; S3-4-3. Determine whether the basic analysis result of the electromagnetic wave measurement data corresponds to abnormal measurement environment data. If so, output the real-time operation data and measurement environment data of the intelligent combination water purifier at the collection start time t, and use t+1 as the updated collection start time t, and return to S1-1. Otherwise, obtain the real-time operation data of the intelligent combination water purifier at t+output collection start time t and the corresponding real-time dynamic trend as the forward and reverse flushing state operation monitoring result, and use t+1 as the updated collection start time t, and return to S1-1.

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