Linkage control method, device and equipment of purification and humidification system and storage medium
By analyzing the water quality historical data of the purification and humidification system to generate prediction data, and formulating a cleaning and maintenance plan, the problems of scale accumulation and bacterial growth of the purification and humidification system are solved, achieving more efficient maintenance and extending the life of the equipment.
Patent Information
- Application Number
- CN202510033985.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-09
- Publication Date
- 2025-02-25
- Estimated Expiration
- 2045-01-09
AI Technical Summary
The purification and humidification system is prone to accumulation of scale, reducing thermal efficiency and humidification efficiency, and the humid environment promotes the growth of bacteria and mold, affects human health, resulting in high maintenance costs and short service life of the equipment.
By obtaining the water quality historical data of the purification and humidification system and related water purification systems, generating predicted timing data of water quality indicators, formulating cleaning and maintenance plans, and sending reminders to the user terminals to achieve preventive maintenance and extending the life of the equipment.
Improves the efficiency and accuracy of cleaning and maintenance, reduces emergency repair needs, extends equipment life, saves maintenance costs, and reduces production interruptions and additional costs due to equipment failures.
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Figure CN119508987A_ABST
Abstract
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] 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 indoor humidity needs to be improved, especially in winter or dry seasons. The use of purification and humidification systems 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 in humidification control in places such as flower planting, greenhouse breeding, restaurant dish spraying, fruit humidification, schools, factories, warehouses, etc. where indoor humidity needs to be improved. At the same time, pure humidifiers are also suitable for combined air conditioning boxes, fresh air units, cabinet air conditioners, fan coils, ventilation ducts, central air conditioners, machine rooms, gas conditioning warehouses, industrial production workshops, civil occasions, occasions that require cooling, etc.
[0003] Purification and humidification systems usually include two components: water purification and humidification. First, impurities, heavy metals, organic matter, etc. in the water are removed through efficient water purification technology (such as RO reverse osmosis technology) to obtain purer water to ensure the safety and health of the water used in the humidifier. Then, after obtaining pure water, the system releases water molecules into the air through a humidification device (such as an ultrasonic humidifier, an evaporative humidifier, etc.), thereby significantly increasing the humidity in the room.
[0004] The purification and humidification system is prone to scale accumulation, which will reduce the thermal efficiency and humidification efficiency, resulting in energy waste. Moreover, over time, the components are also prone to corrosion or damage, which reduces the service life and increases the maintenance or replacement costs caused by 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 cleaning and maintenance frequency is too high, it is easy to increase the maintenance costs of labor and devices; if the cleaning and maintenance frequency is too low, it is easy to fail to detect system problems in time, affecting the 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 problems such as waste of devices and damage to equipment. Therefore, how to formulate a cleaning and maintenance plan in real time and accurately is a technical problem that needs to be solved 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: A first aspect of the present invention provides a linkage control method for a purification and humidification system, comprising: 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; Based on the historical data of the multiple water quality indicators, generating predicted time series data of the multiple water quality indicators of the purification and humidification system; Based on the predicted time series 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; Send cleaning and maintenance reminder information to the user terminal according to the cleaning and maintenance plan.
[0006] The method provided by the present invention can more accurately predict water quality changes in purification and humidification systems and associated water purification systems by analyzing historical water quality data to predict future water quality indicators, thereby improving the efficiency and accuracy of cleaning and maintenance work. Based on the cleaning and maintenance plan generated by the predicted data, preventive maintenance can be performed before problems occur, reducing the need for emergency repairs and extending the service life of the equipment. It can reduce unnecessary maintenance work and save costs, while reducing production interruptions and additional costs 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.
[0007] 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: 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 the predicted time series data of the water quality indicator.
[0008] In a possible implementation, the outputting of the initial time series data of each water quality index of the purification and humidification system and each water purification system by constructing a time series analysis model includes: 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; The prediction conditions are input into the time series analysis model, and the initial time series data of the water quality index is output.
[0009] In a possible implementation, respectively obtaining the association weights of each of the water purification systems and the purification and humidification system includes: 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 up to obtain the associated weight of the water purification system and the purification and humidification system.
[0010] In a 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: For any of the water quality indicators, obtaining the 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 is summed with the correction value to obtain the predicted time series data of the water quality index.
[0011] In a possible implementation, the generating of 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 obtain a plurality of cleaning and maintenance methods corresponding to each of the components to be cleaned and maintained; Determine predicted time series data of at least one of the water quality indicators corresponding to each of the cleaning and maintenance methods; Determining whether each of the cleaning and maintenance methods needs to be performed based on the predicted time series data of at least one of the water quality indicators; If the cleaning and maintenance method needs to be executed, the cleaning and maintenance information of the cleaning and maintenance method is determined; wherein the cleaning and maintenance information includes a cleaning and maintenance start time, a cleaning and maintenance end time, a cleaning and maintenance frequency, and cleaning and maintenance materials.
[0012] In a possible implementation, 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 that the predicted time series data exceeds the corresponding preset value.
[0013] A second aspect of the present invention provides a linkage control device for a purification and humidification system, comprising: A historical data acquisition module, 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; A prediction generation module, used 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; A plan generating module, used for 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; The reminder module is used to send cleaning and maintenance reminder information to the user terminal according to the cleaning and maintenance plan.
[0014] The third aspect of the present invention provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein 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.
[0015] A fourth aspect of the present invention provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the linkage control method for a purification and humidification system provided by the first aspect of the present invention is implemented.
[0016] 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.
[0017] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS
[0018] Figure 1 It is a flow chart of a linkage control method of a purification and humidification system according to an embodiment of the present invention; Figure 2 It is a flowchart 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; Figure 3 It is a flowchart 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; Figure 4 It is a structural block diagram of a linkage control device for a purification and humidification system according to an embodiment of the present invention; Figure 5 It is a block diagram of the internal structure of an electronic device according to an embodiment of the present invention. DETAILED DESCRIPTION
[0019] The present invention is further described in detail below with reference to specific embodiments, but the embodiments of the present invention are not limited thereto.
[0020] In order to facilitate understanding of the technical solution of the present invention, the terms involved in the present invention are briefly introduced below.
[0021] 1. Water hardness: refers to the concentration of calcium and magnesium ions in water. These metal ions mainly come from groundwater, rivers, lakes and rainwater. The unit of hardness is ppm (parts per million), and 1ppm represents 1 mg / L of calcium carbonate in water. Water hardness is an important indicator for measuring water quality and has a certain impact on life and production.
[0022] 2. TDS value (Total Dissolved Solids): Total dissolved solids refers to the total amount of all dissolved solids in water, usually expressed in milligrams per liter (mg / L) or microsiemens per centimeter (µS / cm). The TDS value reflects the total amount of inorganic salts (such as sulfates, chlorides and nitrates of calcium, magnesium and sodium), organic matter, trace metals and other dissolved components dissolved in water. This indicator is an important parameter in water quality analysis and is widely used in water quality assessment in the fields of drinking water, source water, seawater, industrial water, etc. It reflects the concentration of dissolved substances in water and is an intuitive indicator for assessing the purity of water quality. The lower the TDS value, the fewer minerals and ions dissolved in the water, and the purer the water quality.
[0023] 3. pH value: indicates the acidity and alkalinity of water. For the purification and humidification system, the appropriate pH value range helps to maintain the normal operation of the equipment and reduce the adverse effects on the indoor environment.
[0024] 4. Microbial content: including 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, in order to reduce the risk of respiratory diseases and allergies.
[0025] 5. Heavy metal content: refers to the total amount of heavy metals (such as lead, mercury, cadmium, etc.) in water. These heavy metal elements may come from the water source itself, pipeline materials or external environmental pollution, which are harmful to human health.
[0026] 6. Organic pollutant content: refers to the total amount of organic pollutants in water. It includes natural organic substances in the form of carbohydrates, proteins, amino acids and fats, as well as some other biodegradable artificial organic substances. Organic pollutants are harmful to human health. They may cause low birth weight, stunted growth, bone development disorders and metabolic disorders in infants; cause disorders in the human nervous system and attention; suppress the immune system; increase the incidence of cancer; and harm the human reproductive system.
[0027] The embodiment of the present invention provides a linkage control method for a purification and humidification system, which 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 a distributed system composed of multiple physical servers, or a cloud server providing cloud computing services; the terminal device can be a smart phone, a tablet computer, a desktop computer, a wearable device, etc., but is not limited thereto.
[0028] Figure 1 The flowchart of the linkage control method of a purification and humidification system provided in this embodiment is as follows. Figure 1 As shown, the main process of the method is described as follows (steps S101 to S104): 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; 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; 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; Step S104: Send cleaning and maintenance reminder information to the user terminal according to the cleaning and maintenance plan.
[0029] In this embodiment, water quality indicators include but are not limited to total dissolved solids TDS value, hardness, pH value, microbial content, heavy metal content, organic pollutant content, etc.
[0030] The historical data of water quality indicators can be the data collected by the purification and humidification system and the purification system in the past period of time (for example, the past month or the past year). The association between the water purification system and the purification and humidification system means that there is a linkage control relationship between the water purification system and the purification and humidification system, and the water quality indicator data collected between them have a mutual influence relationship. For example, there is a correlation between the water flow direction and the region between the water purification system and the purification and humidification system.
[0031] Each water purification system reports the historical data of water quality indicators collected by itself to the cloud server through big data technology, and the electronic device downloads the historical data of water quality indicators reported by each water purification system from the cloud server. Similarly, the purification and humidification system can also report the historical data of water quality indicators collected by itself to the cloud server through big data technology, and the electronic device downloads the historical data of water quality indicators reported by the purification and humidification system from the cloud server. Of course, the electronic device can also establish direct communication with the purification and humidification system, such as WIFI, Bluetooth, 4G, 5G, etc., to obtain the historical data of water quality indicators reported by the purification and humidification system.
[0032] 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.
[0033] In this embodiment, the predicted time series data of the water quality index refers to the data of the predicted water quality index changing with time.
[0034] In some optional embodiments, such as Figure 2 As shown, step S102 includes the following sub-steps: Step S1021, constructing a time series analysis model based on the historical data of multiple water quality indicators, and outputting the initial time series data of each water quality indicator of the purification and humidification system and each water purification system respectively; Step S1022, respectively obtaining the association weights of each water purification system and the purification and humidification system; Step S1023: for any water quality index, based on the initial time series data of each water purification system and the corresponding associated 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.
[0035] 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.
[0036] Analyze the correlation between the characteristics of influencing factors and water quality indicators; build a time series analysis model based on the correlation. For example, select the ARIMA model (Autoregressive Integrated Moving Average Model), and determine the model parameters by analyzing the autocorrelation diagram (ACF) and partial autocorrelation diagram (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 by the mean square error (MSE) and root mean square error (RMSE).
[0037] 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.
[0038] By constructing a time series analysis model, historical data can be used 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.
[0039] 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 the same; then, the values of multiple associated influencing factors between each water purification system and purification and humidification system are obtained respectively, and 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., and 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 weights 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.
[0040] 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.
[0041] Based on the associated weights, weighted summation of the initial time series data of all water purification systems at the same time can reduce the errors that may be caused by a single data source, and obtain more accurate correction values. The correction values are 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.
[0042] In some optional embodiments, such as Figure 3 As shown, step S103 may include the following sub-steps: Step S1031, respectively obtaining a plurality of cleaning and maintenance modes corresponding to each component to be cleaned and maintained; Step S1032, determining predicted time series data of at least one water quality indicator corresponding to each cleaning and maintenance method; Step S1033, determining whether each cleaning maintenance method needs to be executed based on the predicted time series data of at least one water quality indicator; Step S1034, if the cleaning maintenance method needs to be executed, the cleaning maintenance information of the cleaning maintenance method 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.
[0043] Further, 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, and 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.
[0044] It should be noted that the components to be cleaned and maintained include a water purification component and a humidification component. 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 only one water quality indicator has a first duration that exceeds the preset duration, it can be determined that the cleaning and maintenance method needs to be executed.
[0045] For any component to be cleaned and maintained, after determining which of all the corresponding cleaning and maintenance methods are to be executed, the cleaning and maintenance information is determined for each cleaning and maintenance method to be executed. For example, if the cleaning and maintenance method is cleaning, the cleaning and maintenance materials include cleaning agents, clean water, vibration sensors, 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.
[0046] Based on the same inventive concept, an embodiment of the present invention provides a linkage control device for a purification and humidification system. Figure 4 FIG. 4 is a structural block diagram of a linkage control device 400 for a purification and humidification system provided in an embodiment of the present invention. Figure 4 As shown, the linkage control device 400 of the purification and humidification system mainly includes: 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; A prediction generation module 402, for generating prediction 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 403 is used 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; The reminder module 404 is used to send cleaning and maintenance reminder information to the user terminal according to the cleaning and maintenance plan.
[0047] In some optional embodiments, the prediction generation module 402 includes: A model building module, 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; A weight acquisition module, used to respectively acquire the associated weights of each water purification system and purification and humidification system; 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 associated weight, so as to obtain the predicted time series data of the water quality index.
[0048] 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; build 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.
[0049] 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; respectively obtain multiple associated influencing factor values between each water purification system and the purification and humidification system; for any water purification system, sum up the multiple associated influencing factor values and the initial weight value to obtain the associated weight of the water purification system and the purification and humidification system.
[0050] 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 index; 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 index.
[0051] In some optional embodiments, the solution generation module 403 includes: A method acquisition module is used to respectively acquire multiple cleaning and maintenance methods corresponding to each component to be cleaned and maintained; A prediction time series determination module, used to determine prediction time series data of at least one water quality indicator corresponding to each cleaning and maintenance mode; An execution determination module, used to determine whether each cleaning maintenance method needs to be executed based on the predicted time series data of at least one water quality indicator; 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.
[0052] 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.
[0053] The functional modules in the embodiments of the present invention can be integrated together to form an independent unit, for example, integrated in 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 is essentially 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, including several instructions for an electronic device (which can be a personal computer, a server or a network device, etc.) or a processor (processor) to perform all or part of the steps of the methods of each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, 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.
[0054] The various variations and specific examples in 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.
[0055] 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 .
[0056] The memory 501 can be used to store instructions, programs, codes, code sets or instruction sets. The memory 501 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function, and instructions for implementing the linkage control method of the purification and humidification system provided in the above embodiment, etc.; the data storage area may store data involved in the linkage control method of the purification and humidification system provided in the above embodiment, etc.
[0057] The processor 502 may include one or more processing cores. The processor 502 executes various functions and processes data of the present application by running or executing instructions, programs, code sets or instruction sets stored in the memory 501, calling the data stored in the memory 501. The processor 502 may 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 may also be other, and the embodiment of the present invention is not specifically limited.
[0058] The communication bus 503 may include a path to transmit 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 Only one double arrow is used 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 bring any limitation to the functions and scope of use of the embodiments of the present invention.
[0059] 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 of the purification and humidification system provided in the above embodiment.
[0060] In this embodiment, the computer-readable storage medium may be a tangible device that holds and stores instructions used by the 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 podium random access memory (SRAM), a portable compact disk read-only memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a floppy disk, an optical disk, a magnetic disk, a mechanical encoding device, and any combination thereof.
[0061] The computer program in this embodiment includes a computer program for executing Figure 1 The program code of the method shown in the embodiment may include instructions corresponding to the steps of the method provided in the above embodiment. The computer program may 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 (such as the Internet, a local area network, a wide area network and / or a wireless network). The computer program may be executed entirely on the user's computer or as an independent software package.
[0062] In the embodiments provided in the present 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 only schematic, for example, the division of modules or units is only a logical function division, and there may be other division methods in actual implementation, 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.
[0063] In addition, it is to 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 such actual relationship or order between these entities or operations. The terms "comprises," "comprising," or any other variation thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or device that includes a series of elements includes not only those elements, but also other elements that are not explicitly listed, or elements that are inherent to such process, method, article, or device.
[0064] The above are only preferred embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims
1. A linkage control method for a purification and humidification system, characterized in that: include: 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; Based on the historical data of the multiple water quality indicators, generating predicted time series data of the multiple water quality indicators of the purification and humidification system; Based on the predicted time series 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; Send cleaning and maintenance reminder information to the user terminal according to the cleaning and maintenance plan.
2. The method according to claim 1, characterized in that The generating of 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 the predicted time series data of the water quality indicator.
3. The method according to claim 2, characterized in that The method of constructing a time series analysis model to output the initial time series data of each water quality index of the purification and humidification system and each water purification system includes: 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; The prediction conditions are input into the time series analysis model, and the initial time series data of the water quality index is output.
4. The method according to claim 2, characterized in that The step of respectively obtaining 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 up to obtain the associated weight of the water purification system and the purification and humidification system.
5. The method according to any one of claims 2 to 4, characterized in that: 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: For any of the water quality indicators, obtaining the 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 is summed with the correction value to obtain the predicted time series data of the water quality index.
6. The method according to any one of claims 1 to 4, characterized in that: The step of 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 obtain a plurality of cleaning and maintenance methods corresponding to each of the components to be cleaned and maintained; Determine 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 at least one of the water quality indicators; If the cleaning and maintenance method needs to be executed, the cleaning and maintenance information of the cleaning and maintenance method is determined; wherein the cleaning and maintenance information includes a cleaning and maintenance start time, a cleaning and maintenance end time, a cleaning and maintenance frequency, and cleaning and maintenance materials.
7. The method according to claim 6, characterized in that The step of determining whether each cleaning and maintenance method needs to be performed based on the predicted time series data of 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 that the predicted time series data exceeds the corresponding preset value.
8. A linkage control device for a purification and humidification system, characterized in that: include: A historical data acquisition module, 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; A prediction generation module, used 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; A plan generating module, used for 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; The reminder module is used to send cleaning and maintenance reminder information to the user terminal according to the cleaning and maintenance plan.
9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the linkage control method for the purification and humidification system according to any one of claims 1 to 7 is implemented.
10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the linkage control method for the purification and humidification system according to any one of claims 1 to 7 is implemented.
Citation Information
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