Linkage control method, device, equipment and storage medium for purification and humidification system

Abstract

The present invention discloses a linkage control method for a purification and humidification system, which belongs to the field of data processing technology and includes the following steps: obtaining historical data of multiple water quality indicators collected by the purification and humidification system and multiple water purification systems associated with the purification and humidification system; generating predicted time series data of the multiple water quality indicators of the purification and humidification system based on the historical data of the multiple water quality indicators; generating a cleaning and maintenance plan for the components to be cleaned and maintained of the purification and humidification system based on the predicted time series data of the multiple water quality indicators; and sending cleaning and maintenance reminder information to the user terminal according to the cleaning and maintenance plan. The present invention can formulate a cleaning and maintenance plan for the purification and humidification system in real time and accurately, thereby reducing the cost of manual cleaning and maintenance, reducing the failure rate of system equipment, and improving the purification and humidification efficiency of the system. The present invention also discloses a device, an electronic device, and a computer-readable storage medium for implementing the above method.

Description

Technical Field

[0001] The present invention relates to the field of data processing technology, and in particular to a linkage control method, device, equipment and storage medium for a purification and humidification system. Background Art

[0002] A purification and humidification system is a device used to increase the humidity in the air while ensuring the purity of the water to avoid air pollution. Purification and humidification systems are widely used in places where improved indoor humidity is necessary, especially in winter or dry seasons. Using a purification and humidification system can effectively alleviate the discomfort caused by dry air and improve the comfort and health of the indoor environment. Purification and humidification systems are widely used for humidification control in places where improved indoor humidity is necessary, such as flower cultivation, greenhouse farming, restaurant dish spraying, fruit humidification, schools, factories, warehouses, and other places. At the same time, pure humidifiers are also suitable for modular air conditioning units, fresh air units, cabinet air conditioners, fan coil units, ventilation ducts, central air conditioning, computer rooms, air conditioning storage facilities, industrial production workshops, civilian applications, and places requiring cooling.

[0003] A purification and humidification system typically consists of two components: water purification and humidification. First, efficient water purification technologies (such as RO reverse osmosis) remove impurities, heavy metals, and organic matter from the water, resulting in purer water to ensure the safety and health of the water used in the humidifier. Once purified water is obtained, the system releases water molecules into the air through a humidification device (such as an ultrasonic humidifier or evaporative humidifier), significantly increasing the indoor humidity.

[0004] Purification and humidification systems are prone to scale accumulation, which reduces thermal efficiency and humidification efficiency, leading to energy waste. Over time, components are also prone to corrosion or damage, which reduces their service life and increases maintenance or replacement costs due to equipment failure. In addition, the humid environment in the purification and humidification system is a hotbed for the growth of bacteria and mold. If it is not cleaned, these microorganisms will spread into the air with water vapor, causing harm to human health. Therefore, in order to ensure the normal operation of the purification and humidification system and extend its service life, the system should be cleaned and maintained regularly. If the frequency of cleaning and maintenance is too high, it is easy to lead to increased labor and device maintenance costs; if the frequency of cleaning and maintenance is too low, it is easy to fail to detect system problems in a timely manner, affecting humidification efficiency and even affecting the normal operation of the system; if the cleaning and maintenance method used is inappropriate, it is also easy to cause device waste, equipment damage and other problems. Therefore, how to formulate a cleaning and maintenance plan in real time and accurately is a technical problem that needs to be solved urgently in this field. Summary of the Invention

[0005] In order to solve the above problems existing in the prior art, the present invention provides a linkage control method, device, equipment and storage medium for a purification and humidification system. The technical problem to be solved by the present invention is achieved through the following technical solutions:

[0006] A first aspect of the present invention provides a linkage control method for a purification and humidification system, comprising:

[0007] Acquiring historical data of multiple water quality indicators collected by a purification and humidification system and multiple water purification systems associated with the purification and humidification system;

[0008] generating predicted time series data of the plurality of water quality indicators of the purification and humidification system based on the historical data of the plurality of water quality indicators;

[0009] Generating a cleaning and maintenance plan for the components to be cleaned and maintained of the purification and humidification system based on the predicted time series data of the multiple water quality indicators;

[0010] Send cleaning and maintenance reminder information to the user terminal according to the cleaning and maintenance plan.

[0011] The method provided by the present invention predicts future water quality indicators by analyzing historical water quality data. This can more accurately predict changes in water quality in purification and humidification systems and associated water purification systems, thereby improving the efficiency and accuracy of cleaning and maintenance work. Cleaning and maintenance plans generated based on predictive data can perform preventive maintenance before problems occur, reducing the need for emergency repairs and extending the service life of equipment. This can reduce unnecessary maintenance work and save costs, while also reducing production interruptions and additional expenses caused by equipment failures and reducing the need for manual monitoring and intervention. The entire plan is based on predictions and maintenance plans based on actual data, making decisions more scientific and data-driven, and improving the reliability of decisions.

[0012] In a possible implementation, generating predicted time series data of the multiple water quality indicators of the purification and humidification system based on the historical data of the multiple water quality indicators includes:

[0013] Building a time series analysis model based on the historical data of the multiple water quality indicators, and outputting the initial time series data of each water quality indicator of the purification and humidification system and each of the water purification systems respectively;

[0014] respectively obtaining the association weights of each of the water purification systems and the purification and humidification systems;

[0015] For any of the water quality indicators, based on the initial time series data of each of the water purification systems and the corresponding association weights, the initial time series data of the purification and humidification system is corrected to obtain the predicted time series data of the water quality indicator.

[0016] In a possible implementation, the outputting of the initial time series data of each water quality indicator of the purification and humidification system and each water purification system by constructing a time series analysis model includes:

[0017] For any of the water quality indicators, feature extraction is performed on the historical data to obtain water quality indicator features and influencing factor features; wherein the influencing factor features include time features, environmental features, and spatial features;

[0018] Analyzing the correlation between the characteristics of the influencing factors and the characteristics of the water quality indicators;

[0019] constructing the time series analysis model based on the correlation;

[0020] The prediction conditions are input into the time series analysis model, and the initial time series data of the water quality index is output.

[0021] In a possible implementation, respectively obtaining the association weights of each of the water purification systems and the purification and humidification systems includes:

[0022] Setting initial weight values ​​of the water purification system and the purification and humidification system;

[0023] respectively obtaining a plurality of correlation influencing factor values ​​between each of the water purification systems and the purification and humidification systems;

[0024] For any of the water purification systems, the multiple associated influencing factor values ​​and the initial weight value are summed up to obtain the associated weight of the water purification system and the purification and humidification system.

[0025] In one possible implementation, for any of the water quality indicators, based on the initial time series data of each of the water purification systems and the corresponding association weights, the initial time series data of the purification and humidification system is corrected to obtain the predicted time series data of the water quality indicator, including:

[0026] For any of the water quality indicators, obtaining initial time series data of the purification and humidification system and each of the water purification systems at the same time;

[0027] Performing weighted sum calculation on the initial time series data of all the water purification systems at the same time based on the association weight to obtain a correction value;

[0028] The initial time series data of the purification and humidification system at the same time and the correction value are summed up to obtain the predicted time series data of the water quality index.

[0029] In a possible implementation, generating a cleaning and maintenance plan for the components to be cleaned and maintained of the purification and humidification system based on the predicted time series data of the multiple water quality indicators includes:

[0030] Respectively obtaining a plurality of cleaning and maintenance methods corresponding to each of the components to be cleaned and maintained;

[0031] Determining predicted time series data of at least one water quality indicator corresponding to each cleaning and maintenance method;

[0032] Determining whether each of the cleaning and maintenance methods needs to be performed based on the predicted time series data of the at least one water quality indicator;

[0033] If the cleaning maintenance mode needs to be executed, cleaning maintenance information of the cleaning maintenance mode is determined; wherein the cleaning maintenance information includes a cleaning maintenance start time, a cleaning maintenance end time, a cleaning maintenance frequency, and cleaning maintenance materials.

[0034] In a possible implementation, determining whether each cleaning and maintenance method needs to be performed based on the predicted time series data of the at least one water quality indicator includes:

[0035] For any of the cleaning and maintenance methods, if there is a water quality indicator whose first duration reaches the corresponding preset duration, it is determined that the cleaning and maintenance method needs to be executed;

[0036] The first duration is the cumulative duration during which the predicted time series data exceeds the corresponding preset value.

[0037] A second aspect of the present invention provides a linkage control device for a purification and humidification system, comprising:

[0038] A historical data acquisition module, configured to acquire historical data of a plurality of water quality indicators collected by a purification and humidification system and a plurality of water purification systems associated with the purification and humidification system;

[0039] A prediction generation module, configured to generate predicted time series data of the plurality of water quality indicators of the purification and humidification system based on the historical data of the plurality of water quality indicators;

[0040] A plan generating module, configured to generate a cleaning and maintenance plan for the components to be cleaned and maintained of the purification and humidification system based on the predicted time series data of the multiple water quality indicators;

[0041] The reminder module is used to send cleaning and maintenance reminder information to the user terminal according to the cleaning and maintenance plan.

[0042] The third aspect of the present invention provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, a linkage control method for a purification and humidification system provided in the first aspect of the present invention is implemented.

[0043] A fourth aspect of the present invention provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the method for controlling a purification and humidification system provided by the first aspect of the present invention is implemented.

[0044] For the specific description of the second to fourth aspects of the present invention and their various implementations, reference can be made to the detailed description of the first aspect and its various implementations; and for the beneficial effects of the second to fourth aspects and their various implementations, reference can be made to the analysis of the beneficial effects of the first aspect and its various implementations, which will not be repeated here.

[0045] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 1 is a flow chart of a linkage control method for a purification and humidification system according to an embodiment of the present invention;

[0047] Figure 2 1 is a flow chart of the sub-steps of step S102 in a linkage control method for a purification and humidification system according to an embodiment of the present invention;

[0048] Figure 3 1 is a flow chart of the sub-steps of step S103 in a linkage control method for a purification and humidification system according to an embodiment of the present invention;

[0049] Figure 4 This is a structural block diagram of a linkage control device for a purification and humidification system according to an embodiment of the present invention;

[0050] Figure 5 This is a block diagram of the internal structure of an electronic device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0051] The present invention will be further described in detail below with reference to specific examples, but the embodiments of the present invention are not limited thereto.

[0052] In order to facilitate understanding of the technical solution of the present invention, the following is a brief introduction to the terms involved in the present invention.

[0053] 1. Water hardness: This refers to the concentration of calcium and magnesium ions in water. These metal ions primarily originate from sources such as groundwater, rivers, lakes, and rainwater. Hardness is measured in parts per million (ppm), with 1 ppm representing 1 mg / L of calcium carbonate. Water hardness is an important indicator of water quality and has a significant impact on daily life and production.

[0054] 2. TDS (Total Dissolved Solids): Total dissolved solids (TDS) refers to the total amount of dissolved solids in water, typically expressed in milligrams per liter (mg / L) or microsiemens per centimeter (µS / cm). The TDS value reflects the total amount of dissolved inorganic salts (such as calcium, magnesium, and sodium sulfates, chlorides, and nitrates), organic matter, trace metals, and other dissolved components in the water. This indicator is a key parameter in water quality analysis and is widely used in water quality assessment for drinking water, source water, seawater, and industrial water. It reflects the concentration of dissolved substances in water and is a visual indicator of water purity. The lower the TDS value, the fewer dissolved minerals and ions in the water, and the purer the water.

[0055] 3. pH value: Indicates the acidity or alkalinity of water. For purification and humidification systems, an appropriate pH range helps maintain the normal operation of the equipment and reduce adverse effects on the indoor environment.

[0056] 4. Microbial content: This includes the number and types of microorganisms such as bacteria and viruses in the water. For purification and humidification systems, the lower the microbial content, the better, to reduce the risk of respiratory diseases and allergies.

[0057] 5. Heavy metal content: This refers to the total amount of heavy metals (such as lead, mercury, and cadmium) present in water. These heavy metals may come from the water source itself, pipe materials, or external environmental pollution, and are harmful to human health.

[0058] 6. Organic pollutant content: This refers to the total amount of organic pollutants present in water. This includes natural organic substances in the form of carbohydrates, proteins, amino acids, and fats, as well as certain other biodegradable synthetic organic substances. Organic pollutants pose significant risks to human health. They can cause low birth weight, growth retardation, skeletal disorders, and metabolic disorders in infants; disrupt the nervous system and attention; suppress the immune system; increase the incidence of cancer; and harm the human reproductive system.

[0059] An embodiment of the present invention provides a linkage control method for a purification and humidification system. The method can be executed by an electronic device, which can be a server or a terminal device. The server can be an independent physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server providing cloud computing services. The terminal device can be a smartphone, tablet computer, desktop computer, wearable device, etc., but is not limited to these.

[0060] Figure 1 This is a flow chart of a linkage control method for a purification and humidification system provided in this embodiment. Figure 1 As shown, the main process of the method is described as follows (steps S101 to S104):

[0061] Step S101, acquiring historical data of multiple water quality indicators collected by a purification and humidification system and multiple water purification systems associated with the purification and humidification system;

[0062] Step S102, generating predicted time series data of multiple water quality indicators of the purification and humidification system based on historical data of multiple water quality indicators;

[0063] Step S103, generating a cleaning and maintenance plan for the components to be cleaned and maintained of the purification and humidification system based on the predicted time series data of the multiple water quality indicators;

[0064] Step S104: Send cleaning and maintenance reminder information to the user terminal according to the cleaning and maintenance plan.

[0065] In this embodiment, water quality indicators include but are not limited to total dissolved solids (TDS), hardness, pH, microbial content, heavy metal content, organic pollutant content, etc.

[0066] Historical water quality data can be collected by the humidification and purification systems over a period of time (e.g., the past month or year). The association between the water purification system and the humidification and purification system means that the two systems are linked and controlled, and the water quality data collected by them influence each other. For example, there may be correlations between the water flow direction and geographical location between the two systems.

[0067] Each water purification system reports its own historical data on water quality indicators to the cloud server using big data technology, and electronic devices download the historical data on water quality indicators reported by each water purification system from the cloud server. Similarly, the purification and humidification system can also report its own historical data on water quality indicators to the cloud server using big data technology, and electronic devices download the historical data on water quality indicators reported by the purification and humidification system from the cloud server. Of course, electronic devices can also establish direct communication with the purification and humidification system, such as through WIFI, Bluetooth, 4G, 5G, etc., to obtain the historical data on water quality indicators reported by the purification and humidification system.

[0068] Based on the historical data of water quality indicators of the purification and humidification system and its associated water purification system, the changing trends of various water quality indicators of the purification and humidification system are predicted. Data-driven decision-making can improve the effectiveness of the plan and formulate cleaning and maintenance plans more scientifically and accurately, thereby achieving preventive maintenance of the purification and humidification system, reducing the risk of sudden failures and equipment damage, reducing the need for emergency repairs, and saving maintenance costs.

[0069] In this embodiment, the predicted time series data of the water quality index refers to the data of the predicted water quality index changing over time.

[0070] In some optional embodiments, such as Figure 2 As shown, step S102 includes the following sub-steps:

[0071] Step S1021: construct a time series analysis model based on the historical data of multiple water quality indicators, and output the initial time series data of each water quality indicator of the purification and humidification system and each water purification system respectively;

[0072] Step S1022, respectively obtaining the association weights of each water purification system and each purification and humidification system;

[0073] Step S1023: For any water quality index, based on the initial time series data of each water purification system and the corresponding association weight, the initial time series data of the purification and humidification system is corrected to obtain the predicted time series data of the water quality index.

[0074] Furthermore, in step S1021, for the historical data of any water quality indicator, data preprocessing such as missing value filling, data smoothing and feature standardization is first performed to eliminate noise and inconsistency; then feature extraction is performed to obtain water quality indicator characteristics and influencing factor characteristics; wherein the influencing factor characteristics include time characteristics, environmental characteristics and spatial characteristics.

[0075] Analyze the correlation between the characteristics of influencing factors and water quality indicators; construct a time series analysis model based on these correlations. For example, the ARIMA model (Autoregressive Integrated Moving Average Model) can be used, and model parameters can be determined by analyzing the autocorrelation plot (ACF) and partial autocorrelation plot (PACF). For the ARIMA model, the ARIMA class in the statsmodels library can be used to fit the data, and the accuracy of the time series analysis model can be evaluated using the mean square error (MSE) and root mean square error (RMSE).

[0076] Finally, the prediction conditions are input into the time series analysis model, and the initial time series data of the water quality index is output. The prediction conditions are generally the prediction time period, and the output initial time series data is the water quality index data within the prediction time period.

[0077] By constructing a time series analysis model, we can use historical data to capture the changing trends and patterns of water quality indicators, thereby accurately predicting the water quality indicators of the purification and humidification system and its associated water purification system.

[0078] Furthermore, in step S1022, the initial weight values ​​of each water purification system and purification and humidification system are first set, and the initial weight values ​​are all the same; then, the values ​​of multiple associated influencing factors between each water purification system and purification and humidification system are obtained respectively. The associated influencing factors may include the distance between the water purification system and the purification and humidification system, the direction of water flow, the terrain difference, etc. Each associated influencing factor value can be obtained based on expert experience and historical data analysis. Finally, for any water purification system, the multiple associated influencing factor values ​​and the initial weight value are summed and calculated to obtain the associated weight of the water purification system and the purification and humidification system. By considering the associated weight of each water purification system and the purification and humidification system, the mutual influence between the systems can be more accurately reflected, and the relevance and accuracy of the water quality index prediction can be improved.

[0079] Furthermore, in step S1023, for any water quality index, the initial time series data of the purification and humidification system and each water purification system at the same time are obtained; the initial time series data of all water purification systems at the same time are weighted and summed based on the associated weight to obtain a correction value; the initial time series data of the purification and humidification system at the same time and the correction value are summed to obtain the predicted time series data of the water quality index.

[0080] Performing a weighted summation calculation on the initial time series data of all water purification systems at the same time based on the associated weights can reduce the errors that may be caused by a single data source and obtain a more accurate correction value. The correction value is further summed with the data of the purification and humidification system to obtain predicted time series data that is closer to the actual water quality.

[0081] In some optional embodiments, such as Figure 3 As shown, step S103 may include the following sub-steps:

[0082] Step S1031, respectively obtaining multiple cleaning and maintenance methods corresponding to each component to be cleaned and maintained;

[0083] Step S1032, determining predicted time series data of at least one water quality indicator corresponding to each cleaning and maintenance mode;

[0084] Step S1033, determining whether each cleaning and maintenance method needs to be executed based on the predicted time series data of at least one water quality indicator;

[0085] Step S1034 : If the cleaning maintenance mode needs to be executed, the cleaning maintenance information of the cleaning maintenance mode is determined; wherein the cleaning maintenance information includes the cleaning maintenance start time, the cleaning maintenance end time, the cleaning maintenance frequency, and the cleaning maintenance materials.

[0086] Furthermore, in step S1033, for any cleaning and maintenance method, if there is a water quality indicator whose first duration reaches the corresponding preset duration, it is determined that the cleaning and maintenance method needs to be executed; wherein, the first duration is the cumulative duration that the predicted time series data exceeds the corresponding preset value. If the cumulative duration that the predicted time series data exceeds the corresponding preset value reaches the preset duration, it indicates that the cleaning and maintenance method needs to be executed.

[0087] It should be noted that the components to be cleaned and maintained include water purification components and humidification components. Cleaning and maintenance methods may include but are not limited to cleaning, replacement, sterilization, etc. The cleaning and maintenance methods corresponding to different components to be cleaned and maintained may overlap, that is, different components to be cleaned and maintained may correspond to the same cleaning and maintenance methods, or may correspond to different cleaning and maintenance methods. Whether a cleaning and maintenance method is executed is based on whether the first duration of the multiple water quality indicators corresponding to it exceeds the preset duration. Even if the first duration of only one water quality indicator exceeds the preset duration, it can be determined that the cleaning and maintenance method needs to be executed.

[0088] For any component to be cleaned and maintained, after determining which of all corresponding cleaning and maintenance methods are to be performed, cleaning and maintenance information is determined for each cleaning and maintenance method to be performed. For example, if the cleaning and maintenance method is cleaning, the cleaning and maintenance materials include cleaning agent, clean water, vibration sensor, etc. The cleaning duration and frequency can be determined based on the first duration, for example, by looking up a table to determine the cleaning duration and cleaning frequency corresponding to the duration interval to which the first duration belongs.

[0089] Based on the same inventive concept, an embodiment of the present invention provides a linkage control device for a purification and humidification system. Figure 4This is a structural block diagram of a linkage control device 400 for a purification and humidification system provided by an embodiment of the present invention. Figure 4 As shown, the linkage control device 400 of the purification and humidification system mainly includes:

[0090] A historical data acquisition module 401 is used to acquire historical data of multiple water quality indicators collected by a purification and humidification system and multiple water purification systems associated with the purification and humidification system;

[0091] A prediction generation module 402 is configured to generate prediction time series data of the multiple water quality indicators of the purification and humidification system based on the historical data of the multiple water quality indicators;

[0092] A plan generating module 403 is configured to generate a cleaning and maintenance plan for the components to be cleaned and maintained of the purification and humidification system based on the predicted time series data of the multiple water quality indicators;

[0093] The reminder module 404 is configured to send cleaning and maintenance reminder information to the user terminal according to the cleaning and maintenance plan.

[0094] In some optional embodiments, the prediction generation module 402 includes:

[0095] A model building module is used to build a time series analysis model based on the historical data of multiple water quality indicators, and output the initial time series data of each water quality indicator of the purification and humidification system and each water purification system respectively;

[0096] A weight acquisition module is used to obtain the associated weights of each water purification system and each purification and humidification system;

[0097] The correction module is used to correct the initial time series data of the purification and humidification system for any water quality index based on the initial time series data of each water purification system and the corresponding association weight to obtain the predicted time series data of the water quality index.

[0098] Optionally, a model building module is specifically used to extract features from historical data for any water quality indicator to obtain water quality indicator features and influencing factor features; wherein the influencing factor features include time features, environmental features, and spatial features; analyze the correlation between the influencing factor features and the water quality indicator features; construct a time series analysis model based on the correlation; input the prediction conditions into the time series analysis model, and output the initial time series data of the water quality indicator.

[0099] Optionally, a weight acquisition module is specifically used to set the initial weight values ​​of the water purification system and the purification and humidification system; obtain multiple associated influencing factor values ​​between each water purification system and the purification and humidification system respectively; for any water purification system, the multiple associated influencing factor values ​​and the initial weight value are summed up to obtain the associated weight of the water purification system and the purification and humidification system.

[0100] Optionally, a correction module is specifically used to obtain the initial time series data of the purification and humidification system and each water purification system at the same time for any water quality indicator; perform weighted sum calculation on the initial time series data of all water purification systems at the same time based on the associated weight to obtain a correction value; sum the initial time series data of the purification and humidification system at the same time with the correction value to obtain the predicted time series data of the water quality indicator.

[0101] In some optional embodiments, the solution generation module 403 includes:

[0102] A method acquisition module is used to respectively acquire multiple cleaning and maintenance methods corresponding to each component to be cleaned and maintained;

[0103] A prediction time series determination module, configured to determine prediction time series data of at least one water quality indicator corresponding to each cleaning and maintenance mode;

[0104] an execution determination module, configured to determine whether each cleaning and maintenance method needs to be executed based on the predicted time series data of at least one water quality indicator;

[0105] The information determination module is used to determine the cleaning maintenance information of the cleaning maintenance method if the cleaning maintenance method needs to be executed; wherein the cleaning maintenance information includes the cleaning maintenance start time, the cleaning maintenance end time, the cleaning maintenance frequency and the cleaning maintenance materials.

[0106] Furthermore, a determination module is executed, which is specifically used to determine that for any cleaning and maintenance method, if there is a water quality indicator whose first duration reaches the corresponding preset duration, then the cleaning and maintenance method needs to be executed; wherein the first duration is the cumulative duration that the predicted time series data exceeds the corresponding preset value.

[0107] The functional modules in the embodiments of the present invention can be integrated together to form an independent unit, for example, integrated into a processing unit, or each module can exist physically separately, or two or more modules can be integrated to form an independent unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of a software functional unit. If the function is implemented in the form of a software functional module and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for enabling an electronic device (which can be a personal computer, server or network device, etc.) or a processor to execute all or part of the steps of the methods of the various embodiments of the present application. The aforementioned storage medium includes various media that can store program code, such as a USB flash drive, a mobile hard disk, a read-only memory, a random access memory, a magnetic disk or an optical disk.

[0108] The various variations and specific examples of the method provided in the embodiment of the present invention are also applicable to the linkage control device of the purification and humidification system provided in this embodiment. Through the above detailed description of the linkage control method of the purification and humidification system, those skilled in the art can clearly know the implementation method of the linkage control device of the purification and humidification system in this embodiment. For the sake of brevity of the specification, it will not be described in detail here.

[0109] Figure 5 FIG. 5 is a structural block diagram of an electronic device 500 provided in an embodiment of the present invention. Figure 5 As shown, the electronic device 500 includes a memory 501 , a processor 502 , and a communication bus 503 ; the memory 501 and the processor 502 are connected via the communication bus 503 .

[0110] The memory 501 can be used to store instructions, programs, codes, code sets, or instruction sets. The memory 501 can include a program storage area and a data storage area. The program storage area can store instructions for implementing an operating system, instructions for at least one function, and instructions for implementing the linkage control method for the purification and humidification system provided in the above embodiment; the data storage area can store data related to the linkage control method for the purification and humidification system provided in the above embodiment.

[0111] The processor 502 may include one or more processing cores. The processor 502 calls the data stored in the memory 501 by running or executing the instructions, programs, code sets or instruction sets stored in the memory 501, and performs various functions and processes data of the present application. The processor 502 can be at least one of an application-specific integrated circuit (ASIC), a digital signal processor (DSP), a digital signal processing device (DSPD), a programmable logic device (PLD), a field programmable gate array (FPGA), a central processing unit (CPU), a controller, a microcontroller and a microprocessor. It is understandable that for different devices, the electronic device used to implement the above-mentioned processor 502 function can also be other, and the embodiment of the present invention is not specifically limited.

[0112] The communication bus 503 may include a path for transmitting information between the above components. The communication bus 503 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus. The communication bus 503 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 5 There is only one double arrow in the diagram, but it does not mean that there is only one bus or one type of bus. Figure 5 The electronic device shown is only an example and should not limit the functions and scope of use of the embodiments of the present invention.

[0113] An embodiment of the present invention further provides a computer-readable storage medium storing a computer program that can be loaded by a processor and execute the linkage control method for the purification and humidification system provided in the above embodiment.

[0114] In this embodiment, a computer-readable storage medium may be a tangible device that holds and stores instructions used by an instruction execution device. The computer-readable storage medium may be, but is not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any combination thereof. Specifically, the computer-readable storage medium may be a portable computer disk, a hard disk, a USB flash drive, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a lectern random access memory (SRAM), a portable compact disc read-only memory (CD-ROM), a digital versatile disc (DVD), a memory stick, a floppy disk, an optical disc, a magnetic disk, a mechanical encoding device, or any combination thereof.

[0115] The computer program in this embodiment includes a program for executing Figure 1 The program code for the method shown may include instructions corresponding to the steps of the method provided in the above embodiments. The computer program can be downloaded from a computer-readable storage medium to various computing / processing devices, or downloaded to an external computer or external storage device via a network (e.g., the Internet, a local area network, a wide area network, and / or a wireless network). The computer program can be executed entirely on a user's computer or as a standalone software package.

[0116] In the embodiments provided in this application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of modules or units is only a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0117] In addition, it should be understood that relational terms such as first and second are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. The terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0118] The above are merely preferred embodiments of the present application and are not intended to limit the present application. Those skilled in the art will readily appreciate that various modifications and variations are possible. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the present application shall be included within the scope of protection of the present application.

Claims

1. A linkage control method for a purification and humidification system, characterized in that: include: Acquiring historical data of multiple water quality indicators collected by a purification and humidification system and multiple water purification systems associated with the purification and humidification system; generating predicted time series data of the plurality of water quality indicators of the purification and humidification system based on the historical data of the plurality of water quality indicators; Generating a cleaning and maintenance plan for the components to be cleaned and maintained of the purification and humidification system based on the predicted time series data of the multiple water quality indicators; Sending cleaning and maintenance reminder information to the user terminal according to the cleaning and maintenance plan; Generating the predicted time series data of the multiple water quality indicators of the purification and humidification system based on the historical data of the multiple water quality indicators includes: Building a time series analysis model based on the historical data of the multiple water quality indicators, and outputting the initial time series data of each water quality indicator of the purification and humidification system and each of the water purification systems respectively; respectively obtaining the association weights of each of the water purification systems and the purification and humidification systems; For any of the water quality indicators, based on the initial time series data of each of the water purification systems and the corresponding association weights, the initial time series data of the purification and humidification system is corrected to obtain predicted time series data of the water quality indicator; The obtaining of the association weights of each of the water purification systems and the purification and humidification systems comprises: Setting initial weight values ​​of the water purification system and the purification and humidification system; respectively obtaining a plurality of correlation influencing factor values ​​between each of the water purification systems and the purification and humidification systems; For any of the water purification systems, the multiple associated influencing factor values ​​and the initial weight value are summed to obtain an associated weight between the water purification system and the purification and humidification system; The associated influencing factors include the distance between the water purification system and the purification and humidification system, the direction of water flow and the terrain difference; By constructing a time series analysis model, the initial time series data of each water quality index of the purification and humidification system and each water purification system are output respectively, including: For any of the water quality indicators, feature extraction is performed on the historical data to obtain water quality indicator features and influencing factor features; wherein the influencing factor features include time features, environmental features, and spatial features; Analyzing the correlation between the characteristics of the influencing factors and the characteristics of the water quality indicators; constructing the time series analysis model based on the correlation; Inputting the prediction conditions into the time series analysis model and outputting the initial time series data of the water quality index; Generating a cleaning and maintenance plan for the components to be cleaned and maintained of the purification and humidification system based on the predicted time series data of the multiple water quality indicators includes: Respectively obtaining a plurality of cleaning and maintenance methods corresponding to each of the components to be cleaned and maintained; Determining predicted time series data of at least one water quality indicator corresponding to each cleaning and maintenance method; Determining whether each of the cleaning and maintenance methods needs to be performed based on the predicted time series data of the at least one water quality indicator; If the cleaning maintenance mode needs to be executed, cleaning maintenance information of the cleaning maintenance mode is determined; wherein the cleaning maintenance information includes a cleaning maintenance start time, a cleaning maintenance end time, a cleaning maintenance frequency, and cleaning maintenance materials.

2. The method according to claim 1, wherein For any of the water quality indicators, based on the initial time series data of each water purification system and the corresponding association weight, the initial time series data of the purification and humidification system is corrected to obtain the predicted time series data of the water quality indicator, including: For any of the water quality indicators, obtaining initial time series data of the purification and humidification system and each of the water purification systems at the same time; Performing weighted sum calculation on the initial time series data of all the water purification systems at the same time based on the association weight to obtain a correction value; The initial time series data of the purification and humidification system at the same time and the correction value are summed up to obtain the predicted time series data of the water quality index.

3. The method according to claim 1, wherein The determining whether each cleaning and maintenance method needs to be performed based on the predicted time series data of the at least one water quality indicator includes: For any of the cleaning and maintenance methods, if there is a water quality indicator whose first duration reaches the corresponding preset duration, it is determined that the cleaning and maintenance method needs to be executed; The first duration is the cumulative duration during which the predicted time series data exceeds the corresponding preset value.

4. A linkage control device for a purification and humidification system, characterized in that: include: A historical data acquisition module, configured to acquire historical data of a plurality of water quality indicators collected by a purification and humidification system and a plurality of water purification systems associated with the purification and humidification system; A prediction generation module, configured to generate predicted time series data of the plurality of water quality indicators of the purification and humidification system based on the historical data of the plurality of water quality indicators; A plan generating module, configured to generate a cleaning and maintenance plan for the components to be cleaned and maintained of the purification and humidification system based on the predicted time series data of the multiple water quality indicators; A reminder module, configured to send cleaning and maintenance reminder information to a user terminal according to the cleaning and maintenance plan; The prediction generation module includes: A model building module, configured to build a time series analysis model based on the historical data of the plurality of water quality indicators, and output the initial time series data of each of the water quality indicators of the purification and humidification system and each of the water purification systems; A weight acquisition module, configured to respectively acquire the associated weights of each of the water purification systems and the purification and humidification systems; a correction module, configured to correct the initial time series data of the purification and humidification system for any of the water quality indicators based on the initial time series data of each of the water purification systems and the corresponding association weights, to obtain predicted time series data of the water quality indicator; The weight acquisition module is specifically used to set the initial weight value of the water purification system and the purification and humidification system; respectively obtain multiple correlation influencing factor values ​​between each of the water purification system and the purification and humidification system; for any of the water purification systems, sum the multiple correlation influencing factor values ​​and the initial weight value to obtain the correlation weight of the water purification system and the purification and humidification system; The associated influencing factors include the distance between the water purification system and the purification and humidification system, the direction of water flow and the terrain difference; The model building module is specifically configured to extract features from the historical data for any of the water quality indicators to obtain water quality indicator features and influencing factor features, wherein the influencing factor features include time features, environmental features, and spatial features; analyze the correlation between the influencing factor features and the water quality indicator features; construct the time series analysis model based on the correlation; input prediction conditions into the time series analysis model, and output initial time series data of the water quality indicator; The solution generation module includes: A method acquisition module, used to respectively acquire multiple cleaning and maintenance methods corresponding to each of the components to be cleaned and maintained; A prediction time series determination module, configured to determine prediction time series data of at least one water quality indicator corresponding to each cleaning and maintenance mode; an execution determination module, configured to determine whether each of the cleaning and maintenance methods needs to be executed based on the predicted time series data of the at least one water quality indicator; The information determination module is used to determine the cleaning and maintenance information of the cleaning and maintenance method if the cleaning and maintenance method needs to be executed; wherein the cleaning and maintenance information includes the cleaning and maintenance start time, the cleaning and maintenance end time, the cleaning and maintenance frequency and the cleaning and maintenance materials.

5. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, the linkage control method for the purification and humidification system according to any one of claims 1 to 3 is implemented.

6. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the linkage control method for the purification and humidification system according to any one of claims 1 to 3 is implemented.

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