Digital control system and method for electric appliance

Abstract

The invention discloses an electric appliance digital control system and method, and relates to the field of electric appliance control, and the system comprises a master control platform, a plurality of sub-control devices, and a plurality of monitoring devices. Each target electric appliance comprises a corresponding sub-control device and a monitoring device; the monitoring device collects working parameters of the corresponding target electric appliance; the sub-control device visually displays the working parameters of the target electric appliance, provides a man-machine interaction interface, and adjusts the working parameters of the target electric appliance based on an operation instruction input by a user; the master control platform adopts an expert system to update the working parameters of the target electric appliance according to a set period and the working parameters collected by each monitoring device, and issues the working parameters to each sub-control device; and the sub-control devices adjust the working parameters of the corresponding target electric appliances according to the working parameters issued by the master control platform. The intelligent level of the target electric appliance is improved, and meanwhile, the working performance of the target electric appliance is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of electric appliance control, in particular to an electric appliance digital control system and method. BACKGROUND

[0002] The existing household appliances can only realize their regular functions, such as refrigerators for cold storage or preservation, and air conditioners for cooling or heating, and cannot self-adaptively adjust the working parameters of the electric appliances. Based on the above problems, intelligent household appliances that can adjust the working parameters are extended in the field of household appliances. In the smart home scene, users can issue operation instructions according to their own will to control the intelligent household appliances. However, the control mode of the existing intelligent household appliances is completely controlled by the users to adjust the working parameters of the household appliances according to their own will. In some special scenarios, due to negligence or lack of knowledge about the scientific use of household appliances, the working parameters adjusted by the users cannot make the household appliances work in an ideal state, thereby reducing the working performance of the household appliances. SUMMARY

[0003] The purpose of the present application is to provide an electric appliance digital control system and method, which can improve the intelligent level of the target electric appliances and improve the working performance of the target electric appliances.

[0004] To achieve the above purpose, the present application provides the following solutions:

[0005] In a first aspect, the present application provides an electric appliance digital control system, comprising: a total control platform, a plurality of sub-control devices and a plurality of monitoring devices; the sub-control devices and the monitoring devices are connected with target electric appliances, and each target electric appliance comprises one sub-control device and one monitoring device;

[0006] The monitoring device is used to collect the working parameters of the corresponding target electric appliance;

[0007] The sub-control device is connected with the corresponding monitoring device, and the sub-control device is used to visually display the working parameters collected by the monitoring device, and provide a human-computer interaction interface to receive the operation instruction input by the user, and adjust the working parameters of the target electric appliance based on the operation instruction;

[0008] The total control platform is connected with each sub-control device and each monitoring device, and the total control platform is used to update the working parameters of the target electric appliance by using an expert system according to the working parameters collected by each monitoring device in a set period, and downlink the updated working parameters to each sub-control device; wherein the source of the expert system is the Internet, big data, AI big model, cloud data and machine learning; the total control platform is also used to provide a human-computer interaction interface to receive the data input by the operator, access the expert system, and form an AI expert system library;

[0009] The sub-control device is further configured to adjust the working parameters of the corresponding target electrical appliance according to the working parameters issued by the total control platform and the working parameters of the target electrical appliance collected by the monitoring device; and the priority of the operation instruction input by the user is higher than the working parameters issued by the total control platform.

[0010] Optionally, the target electrical appliance comprises one or more of a refrigerator, a fresh-keeping cabinet, a fresh-keeping compartment, a fresh-keeping container, a fresh-keeping warehouse, a washing machine, a dishwasher, a fruit and vegetable cleaning machine, an extractor hood, a sterilizer, an oven, an air fryer, and a microwave oven; the sub-control device and the monitoring device of the refrigerator and the fresh-keeping cabinet, the fresh-keeping compartment, the fresh-keeping container, and the fresh-keeping warehouse are the same.

[0011] Optionally, the target electrical appliance is a refrigerator; the refrigerator comprises the sub-control device and the monitoring device, the monitoring device comprises a sensor, a camera, and / or a radar; the camera is configured to collect images in the refrigerator in real time; the radar is configured to perform laser scanning on the environment in the refrigerator in real time; the sub-control device is further connected with the camera and the radar; when the definition of the images meets the requirements, the sub-control device is configured to determine the usage frequency and purpose of the refrigerator according to the images collected by the camera within a set period of time; when the definition of the images does not meet the requirements, the sub-control device is configured to determine the usage frequency and purpose of the refrigerator according to the scanning results of the radar within a set period of time; and according to the usage frequency and purpose, the sub-control device is configured to divide the time within a day into multiple fresh-keeping periods, and control the refrigerator to adopt different AI fresh-keeping schemes for fresh-keeping in each fresh-keeping period.

[0012] Optionally, the process in which the sub-control device determines the usage frequency and purpose of the refrigerator according to the images collected by the camera within a set period of time specifically comprises: the sub-control device adopts a refrigerator door state recognition model to identify the refrigerator door state and the access object situation in the images collected by the camera within a set period of time, and determines the usage frequency and purpose of the refrigerator according to the refrigerator door state and the access object situation within a set period of time; the refrigerator door state recognition model is obtained by pre-training a target detection network using a training sample set, the training sample set comprises multiple sample images and the refrigerator door state and the access object situation in each sample image; the refrigerator door state is open or closed, and the access object situation comprises the category and quantity of the access object.

[0013] Optionally, the sub-control device is further configured to identify the objects in the refrigerator according to the images collected by the camera, and adjust the working parameters of the refrigerator according to the objects in the refrigerator to adapt to the fresh-keeping conditions of different objects.

[0014] Optionally, the monitoring device is also used to collect the gas-water information in the refrigerator in real time and feed back to the total control platform; the total control platform is also used to collect the information fed back from the built-in program, built-in data, and the sub-control device and monitoring device of the target appliance, combine the Internet, big data, cloud computing, AI big model, and deep learning, comb and learn the industry-recognized fresh-keeping data of different types of storage products, and form an AI fresh-keeping expert system for precise fresh-keeping and comprehensive nutrition preservation, determine the individualized fresh-keeping and comprehensive nutrition preservation, and targeted AI fresh-keeping solution for different storage products at the cellular and molecular levels, and then store it in the AI fresh-keeping expert system library; moreover, the AI fresh-keeping expert system for precise fresh-keeping and comprehensive nutrition preservation and the targeted AI fresh-keeping solution are continuously learning, upgrading, and gradually improving during use, and the AI fresh-keeping expert system library is updated and enriched, and is sent to the sub-control device of the target appliance according to the set period or user demand; the sub-control device generates an AI fresh-keeping solution by calling the related data in the AI fresh-keeping expert system according to the built-in program, built-in data, and working condition information in the refrigerator fed back by the monitoring device in real time, and automatically regulates the pressure, composition, humidity, temperature, and cleanliness of the protective gas in the refrigerator; the AI fresh-keeping solution forms a fresh-keeping gas atmosphere with different characteristics for different storage products in the refrigerator, and performs AI fresh-keeping on the storage products; the user uses the cabinet door touch screen and the mobile phone APP human-computer interaction interface to manually control the related fresh-keeping elements of the protective gas in the refrigerator and the working parameters of the fresh cabinet, which has priority; when multiple storage products are placed in the same refrigerator at the same time, the individualized AI fresh-keeping solution for different storage products is determined by one of the methods including the greatest common divisor method, the perishable product priority method, the efficient and low-cost method, and the easy and effective method, or a plurality of methods are used at the same time; wherein the individualized AI fresh-keeping solution for precise fresh-keeping and comprehensive nutrition preservation of different storage products is determined by one of the methods including the greatest common divisor method, the perishable product priority method, the efficient and low-cost method, and the easy and effective method, or a plurality of methods are used at the same time; the greatest common divisor method determines the execution scheme according to the greatest common divisor of the maximum and minimum thresholds of the pressure, composition, humidity, and cleanliness of the protective gas for different storage products in the storage cabin; the perishable product priority method determines the execution scheme according to the threshold of the fresh-keeping element of the most perishable storage product in the storage cabin; the efficient and low-cost method determines the execution scheme as the most efficient and low-cost scheme in the different schemes generated by the expert system; and the easy and effective method determines the execution scheme as the most easy and effective scheme in the different schemes generated by the expert system.

[0015] Optionally, the target electrical appliance is a washing machine; the washing machine comprises the sub-control device and the monitoring device, the monitoring device is used to collect the air-water information in the washing machine in real time and feed back to the total control platform; the total control platform is also used to collect the information fed back by the sub-control device and the monitoring device according to the built-in program, built-in data and washing machine, combine the Internet, big data, cloud computing, AI big model and deep learning, find the new path of washing, dehydration and drying of different kinds of clothes according to the pollution factors and treatment targets of different clothes, design the personalized targeted decontamination comprehensive washing, dehydration and drying scheme, and then store it into the AI washing expert system library; moreover, the AI washing expert system and the personalized targeted decontamination comprehensive washing, dehydration and drying scheme are continuously upgraded and gradually improved in the use process, the AI washing expert system library is successively updated and enriched, and is sent to the sub-control device of the target electrical appliance according to the set period or according to the user demand; the sub-control device calls the related data in the AI washing expert system and generates the AI washing execution scheme according to the built-in program, built-in data and working condition information in the washing machine fed back by the monitoring device at any time, the AI washing execution scheme automatically controls the positive and negative pressure of the gas in the washing machine, airflow, ozone concentration, water supply and drainage control, cooperation of drum speed, generation of steam and water temperature, etc. Various washing, dehydration and drying elements, AI washing is carried out in the washing machine; the user uses the cabinet door touch screen and the man-machine interface of the mobile phone APP to manually control the related washing, dehydration and drying elements and working parameters of the washing machine, which has priority.

[0016] Optionally, the sub-control device is also used to obtain the location of the corresponding target electrical appliance, obtain the goods and prices of the merchants within the set range according to the location of the target electrical appliance, and visually display, receive the ordering instruction input by the user, and place an order based on the ordering instruction to purchase the corresponding goods.

[0017] Optionally, the total control platform is further configured to determine reference working parameters of each target electrical appliance and use suggestion information of each target electrical appliance by using an expert system, and deliver the reference working parameters and the use suggestion information to each sub-control device; the expert system comprises a reasoning machine, a built-in knowledge base and an online knowledge base; the built-in knowledge base stores fixed experience working parameters; the online knowledge base stores working parameters collected in real time on a network; the total control platform determines working parameters of a target electrical appliance by using a preset reasoning mechanism based on the built-in knowledge base and the online knowledge base according to working parameters collected by each monitoring device through the reasoning machine at a set period, and delivers the working parameters to the sub-control device according to a set program and user demand to update the working parameters of the target electrical appliance; the sub-control device adjusts the working parameters of the target electrical appliance based on the operation instruction, and the process specifically comprises: the sub-control device adjusts the working parameters of the target electrical appliance according to the operation instruction input by the user, the reference working parameters of the corresponding target electrical appliance and the use suggestion information.

[0018] In a second aspect, the present application provides an electrical appliance digital control method, comprising:

[0019] For any target electrical appliance, the working parameters of the target electrical appliance are collected by a monitoring device connected to the target electrical appliance;

[0020] The working parameters of the target electrical appliance are visually displayed by a sub-control device connected to the target electrical appliance, and a man-machine interactive interface is provided to receive an operation instruction input by a user, and the working parameters of the target electrical appliance are adjusted based on the operation instruction;

[0021] The working parameters of the target electrical appliance are updated by an expert system according to the working parameters collected by each monitoring device by a total control platform at a set period, and the updated working parameters are delivered to each sub-control device;

[0022] For any target electrical appliance, the working parameters of the target electrical appliance are adjusted by a sub-control device connected to the target electrical appliance according to the working parameters delivered by the total control platform; wherein the priority of the operation instruction input by the user is higher than that of the working parameters delivered by the total control platform.

[0023] According to the specific embodiments provided by the present application, the following technical effects are disclosed:

[0024] The application provides an electric appliance digital control system and method, by setting a sub-control device and a monitoring device for each target electric appliance, a user can check the working parameters of the target electric appliance through the sub-control device, and can input operation instructions, thereby manually adjusting the working parameters of each target electric appliance, improving the flexibility of the working state of the target electric appliance. Further, the total control platform updates the working parameters of the target electric appliance according to a set period, and the updated working parameters are sent to each sub-control device, so that the working parameters of all target electric appliances can be uniformly managed at the administrator end, and the working parameters determined based on the expert system are more accurate, improving the intelligent level of the target electric appliance and the working performance of the target electric appliance. BRIEF DESCRIPTION OF DRAWINGS

[0025] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed in the embodiments will be briefly introduced as follows. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0026] Figure 1 A schematic diagram of an electric appliance digital control system provided by an embodiment of the present application;

[0027] Figure 2 A schematic diagram of an electric appliance digital control system provided by an embodiment of the present application;

[0028] Figure 3 A schematic diagram of an electric appliance digital control method provided by an embodiment of the present application. DETAILED DESCRIPTION

[0029] The technical solutions in the embodiments of the present application will be described clearly and completely in combination with the drawings in the embodiments of the present application. Obviously, the described embodiments are only some embodiments of the present application, not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0030] In order to make the above-mentioned purposes, features and advantages of the present application more obvious and easy to understand, the present application will be further described in detail in combination with the drawings and specific embodiments.

[0031] As shown in Figure 1 The present application provides an electric appliance digital control system, which comprises a total control platform 11, a plurality of sub-control devices 12 and a plurality of monitoring devices 13.

[0032] The sub-control device 12 and the monitoring device 13 are connected with the target electrical appliance 14, and each target electrical appliance 14 includes a corresponding sub-control device 12 and a monitoring device 13.

[0033] Preferably, each target electrical appliance 14 can be a conventional electrical appliance or an electrical appliance using positive and negative pressure technology. Specifically, the target electrical appliance includes one or more of a refrigerator, a fresh-keeping cabinet, a fresh-keeping compartment, a fresh-keeping container, a fresh-keeping warehouse, a washing machine, a dishwasher, a fruit and vegetable cleaning machine, an extractor hood, a sterilizer, an oven, an air fryer, and a microwave oven; the sub-control device and the monitoring device of the refrigerator, the fresh-keeping cabinet, the fresh-keeping compartment, the fresh-keeping container, and the fresh-keeping warehouse are the same as the control method thereof.

[0034] The electrical appliance using positive and negative pressure technology can intelligently control and integrate various technologies such as vacuum, high pressure, super oxygen, catalyst, air conditioning preservation, negative oxygen ion, humidification and dehumidification, humidity and temperature control, disinfection and sterilization, air and water purification, air water production, low-temperature storage, clothes washing and drying, food processing, and the like, and derive a variety of positive and negative pressure electrical appliances. For example, positive and negative pressure micro-environment preservation refrigerator, positive and negative pressure micro-environment washing machine, positive and negative pressure micro-environment air conditioner, positive and negative pressure micro-environment dishwasher, and the like.

[0035] The positive and negative pressure micro-environment preservation refrigerator integrates various preservation technologies such as vacuum, high pressure, air conditioning, ozone, catalyst, negative ion, disinfection and decomposition, humidity and temperature control, air water production, and the like, forms an artificial intelligence microclimate in the refrigerator through digital technologies such as the Internet, big data, cloud computing, machine learning, expert systems, artificial intelligence, and the like, can accurately control the micro-environment inside the refrigerator, and long-term care of the nutritional ingredients and freshness of fruits, vegetables, and meat.

[0036] The positive and negative pressure micro-environment washing machine uses vacuum decontamination, fluffing technology, and high-pressure air and water flow decontamination and drying technology to create an artificial intelligence micro-environment for targeted control of high-speed, accurate washing, drying, and can efficiently, quickly, and with low wear and low pollution to clean clothes.

[0037] In an exemplary embodiment, for a refrigerator: the refrigerator comprises the sub-control device and the monitoring device, the monitoring device comprises a sensor, a camera and / or a radar. The camera is used to collect images in the refrigerator in real time. The radar is used to perform laser scanning on the environment in the refrigerator in real time. The sub-control device 12 is also connected with the camera and the radar, and the sub-control device 12 is also used to determine the use frequency and purpose of the refrigerator according to the images collected by the camera within a set period of time when the clarity of the images meets the requirements, determine the use frequency and purpose of the refrigerator according to the scanning results of the radar within a set period of time when the clarity of the images does not meet the requirements, and divide the time within a day into multiple preservation periods according to the use frequency and purpose, and control the refrigerator to adopt different AI preservation schemes for preservation in each preservation period.

[0038] Specifically, the sub-control device 12 adopts a refrigerator door state recognition model to recognize the refrigerator door state in the images collected by the camera within a set period of time, and determines the use frequency and purpose of the refrigerator according to the refrigerator door state within a set period of time. The refrigerator door state recognition model is obtained by pre-training a target detection network using a training sample set, and the training sample set includes multiple sample images and the refrigerator door state and access object condition in each sample image. The refrigerator door state is open or closed, and the access object condition includes the category, quantity and other details of the access object.

[0039] The target detection network can adopt R-CNN (Region-based Convolutional Neural Networks), Fast R-CNN, Faster R-CNN, SPP-net (Spatial Pyramid Pooling network), YOLO network, etc.

[0040] The target detection network is used to perform target detection on the images to recognize the refrigerator door in the images, and then determine the refrigerator door state, i.e., the refrigerator door state at each time within a set period of time, determine the use frequency and purpose of the refrigerator by the user according to the open / close state of the refrigerator door at each time within a set period of time, and then adaptively adjust the AI preservation scheme of the refrigerator. For example, the set period of time is 24 hours in a day, the user opens and closes the refrigerator at a higher frequency during the day and at meal times, and then the AI preservation scheme generated by the high-efficiency low-cost method or the easy-to-implement effective method is used for preservation, and the AI preservation scheme generated by the greatest common divisor method or the perishable goods priority method is used for preservation during the time of the night within 24 hours in a day when the user opens and closes the refrigerator at a lower frequency. The set period of time can also be a week, a month, etc.

[0041] The application can automatically adjust the AI fresh-keeping scheme of the refrigerator according to the use frequency, purpose and real-time working condition of the refrigerator, and of course can also adaptively adjust other working parameters, and can also be applied to washing machines, air conditioners, dishwashers and other household appliances, so that the household appliances can reduce energy consumption while ensuring their own functions.

[0042] Further, the sub-control device 12 is also used to identify the items in the refrigerator according to the images collected by the camera, and adjust the working parameters and AI fresh-keeping scheme of the refrigerator according to the items in the refrigerator, so as to adapt to the fresh-keeping conditions of different items (melons, fruits and vegetables).

[0043] Similarly, the target detection network is also used for target detection on the images to identify the items in the refrigerator, for example, if it is identified that the items in the refrigerator are cucumbers, the working parameters (air pressure, composition, humidity, temperature, sterile purity, etc.) of the refrigerator are adjusted according to the fresh-keeping conditions required by cucumbers; if it is identified that the items in the refrigerator are tomatoes, the working parameters (air pressure, composition, humidity, temperature, sterile purity, etc.) of the refrigerator are adjusted according to the fresh-keeping conditions required by tomatoes.

[0044] In the embodiment, as shown in Figure 2 The monitoring device is also used to collect the air-water information in the refrigerator in real time and feed back to the total control platform.

[0045] The total control platform is also used to collect the feedback information uploaded by the sub-control device and the monitoring device of the target appliance according to the built-in program, built-in data, and the built-in program, built-in data and the target appliance, combined with the Internet, big data, cloud computing, AI big model and deep learning, to form an AI fresh-keeping expert system for precise fresh-keeping and comprehensive nutrition, which is recognized by the industry for different types of storage products. According to the causes of spoilage and loss of freshness of different storage products, the AI fresh-keeping scheme for individual fresh-keeping and comprehensive nutrition and targeted management of different storage products is determined at the cellular and molecular levels, and then stored in the AI fresh-keeping expert system library. Moreover, the AI fresh-keeping expert system for precise fresh-keeping and comprehensive nutrition and the AI fresh-keeping scheme for targeted management are continuously learning, upgrading and gradually improving during use, and the AI fresh-keeping expert system library is updated and enriched, and is delivered to the sub-control device of the target appliance according to the set period or according to the user demand.

[0046] In a specific application example, the refrigerator can interact with the user through the AI big model, for example, when it is identified that the refrigerator is put into eggs, the AI big model can recommend a menu for the user combined with the user's health data, and automatically adjust the humidity of the refrigeration area.

[0047] The sub-control device generates an AI fresh-keeping scheme in real time according to the built-in program, built-in data and the working condition information of the refrigerator fed back by the monitoring device in real time, and automatically adjusts and controls various fresh-keeping elements of the protective gas in the refrigerator, such as pressure, composition, dryness, temperature and cleanliness, to form a fresh-keeping gas atmosphere with different characteristics for different storage products in the refrigerator, and to perform AI fresh-keeping on the storage products; the user uses the man-machine interaction interface of the cabinet door touch screen and the mobile phone APP to manually control the related fresh-keeping elements of the protective gas and the working parameters of the fresh-keeping cabinet, which has priority; when multiple storage products are put into the same refrigerator at the same time, the method for formulating the individualized AI fresh-keeping scheme of different storage products includes one of the greatest common divisor method, the perishable product priority method, the high-efficiency low-cost method and the easy and effective method, which is used alone or simultaneously.

[0048] The method for formulating the individualized and accurate fresh-keeping comprehensive nutrition AI fresh-keeping scheme of different storage products includes one of the greatest common divisor method, the perishable product priority method, the high-efficiency low-cost method and the easy and effective method, which is used alone or simultaneously.

[0049] The greatest common divisor method determines the execution scheme according to the greatest common divisor of the maximum threshold and the minimum threshold of various fresh-keeping elements of the protective gas for different storage products in the storage cabin.

[0050] The perishable product priority method determines the execution scheme according to the threshold of the fresh-keeping elements of the most perishable storage product in the storage cabin.

[0051] The high-efficiency low-cost method determines the execution scheme as the most efficient and low-cost scheme in different schemes generated by the expert system.

[0052] The easy and effective method determines the execution scheme as the most easy and effective scheme in different schemes generated by the expert system.

[0053] In the embodiment, the monitoring device further includes one or more of a pressure sensor, an oxygen sensor, a nitrogen sensor, an ozone sensor, a negative ion sensor, a catalyst sensor, a temperature sensor, a humidity sensor, an air quality sensor and a water level controller. The humidity sensor, the temperature sensor, the pressure sensor, the oxygen sensor, the nitrogen sensor, the ozone sensor, the negative ion sensor, the catalyst sensor, the air quality sensor, the camera and the radar are arranged inside or outside the storage cabin or the equipment cabin of the refrigerator.

[0054] The sub-control device 12 includes one or more of a pressure control system, a nitrogen-oxygen control system, an ozone control system, a humidification control system, a dehumidification control system, a combined fresh-keeping control system, a temperature control system, a fresh air control system, a water making control system, a water supply control system and a drainage control system.

[0055] In another exemplary embodiment, for a washing machine: the washing machine comprises the sub-control device and the monitoring device, the monitoring device is used to collect the gas-water information in the washing machine in real time and feed back to the total control platform; the total control platform is also used to collect the information fed back by the sub-control device and the monitoring device according to the built-in program, built-in data and the washing machine, combine the Internet, big data, cloud computing, AI big model and deep learning, find new paths for washing, dehydration and drying of different kinds of laundry according to the pollution factors and treatment targets of various clothes, design personalized targeted decontamination comprehensive washing, dehydration and drying scheme, and then store it into the AI washing expert system library; moreover, the AI washing expert system and the personalized targeted decontamination comprehensive washing, dehydration and drying scheme are constantly learning, upgrading and gradually improving during use, and the AI washing expert system library is updated and enriched, and is sent to the sub-control device of the target appliance according to the set period or according to the user demand.

[0056] The sub-control device calls the related data in the AI washing expert system and generates an AI washing execution scheme according to the working condition information in the washing machine fed back by the monitoring device in real time at any time, and the AI washing execution scheme automatically controls the positive and negative pressure of the gas in the washing machine, the airflow and water flow, the concentration of ozone, the control of water supply and drainage, the cooperation of drum speed, the generation of steam and water temperature, etc. Various washing, dehydration and drying elements, AI washing is performed for different laundry in the washing machine; the user uses the cabinet door touch screen and the man-machine interface of the mobile phone APP to manually control the related washing, dehydration and drying elements and working parameters of the washing machine, which has priority.

[0057] In another exemplary embodiment, for an air conditioner: the monitoring device 13 is also used to collect environmental parameters, and the sub-control device 12 is also used to process and detect the environmental parameters based on the expert system to obtain a comfort degree judgment result, and adjust the working parameters of the air conditioner according to the environmental parameters and the comfort degree judgment result. The environmental parameters include indoor brightness, temperature, humidity, PM2.5 concentration, formaldehyde concentration, Tvoc concentration, carbon dioxide concentration, indoor and outdoor air pressure difference and radiation intensity, and the corresponding monitoring device 13 includes a temperature sensor, a humidity sensor, a gas sensor, a wind pressure transmitter, a wind speed transmitter, a formaldehyde detector, a radiation meter and a light brightness detector.

[0058] The application collects various environmental parameters affecting environmental comfort through the monitoring device 13, judges the comfort of the environment according to the collected environmental parameters, the evaluation criteria of various environmental parameters stored in the expert system and the pre-set parameter weight, adjusts the working parameters of the air conditioner according to the environmental parameters and the comfort judgment result, and improves the comfort of the environment.

[0059] The monitoring device 13 is used to collect the working parameters of the corresponding target electrical appliance 14. Specifically, the working parameters of the target electrical appliance 14 include temperature, humidity, superoxygen concentration, oxygen concentration, negative oxygen ion concentration, air pressure, air quality data and the like. Correspondingly, the monitoring device 13 includes sensors for collecting various parameters.

[0060] The sub-control device 12 is connected with the corresponding monitoring device 13, and the sub-control device 12 is used to visually display the working parameters collected by the monitoring device 13, and provide a man-machine interaction interface to receive the operation instruction input by the user, and adjust the working parameters of the target electrical appliance 14 based on the operation instruction.

[0061] In a specific example, for a refrigerator, the refrigerator itself has a gas filling and exhausting pump module, a water inlet and outlet pump module, a gas adjusting module, an air water making device and a refrigeration temperature control module. The sub-control device 12 is also used to compare the working parameters collected by the monitoring device 13 with the working parameter set value (which can be issued by the remote overall control platform 11), and regulate and control the gas filling and exhausting pump module, the water inlet and outlet pump module, the gas adjusting module, the air water making device and the refrigeration temperature control module according to the comparison result, fill nitrogen into the micro-environment preservation chamber for air conditioning preservation, form a vacuum or high pressure in the micro-environment preservation chamber for vacuum preservation or high pressure preservation, humidify the micro-environment preservation chamber for humidity control preservation, generate ozone to kill bacteria and viruses in the micro-environment preservation chamber and its stored goods, degrade residues, generate negative oxygen ions to sterilize and preserve the micro-environment preservation chamber and its stored goods, and the like.

[0062] Further, the sub-control device 12 is also used to obtain the location of the corresponding target electrical appliance 14, obtain the goods and prices of the merchants within the set range according to the location of the target electrical appliance 14, and visually display the goods and prices, receive the order placing instruction input by the user, and place an order based on the order placing instruction to purchase the corresponding goods.

[0063] In a specific example, for a refrigerator, the sub-control device 12 has a touch display screen, which is arranged outside the door of the refrigerator. The touch display screen displays the prices of goods in nearby supermarkets and receives the goods selected by the user and the order placing instruction, so that an order can be placed to the supermarket. Specifically, the existing logistics and payment platforms can be connected to realize the function of placing an order for goods.

[0064] In addition, the electric appliance digital control system further comprises a voice engine platform and a semantic engine platform, the voice engine platform is configured to detect voice in real time, and send a semantic interpretation request to the semantic engine platform when voice is detected. The semantic engine platform is configured to perform semantic interpretation on the voice when receiving the semantic interpretation request sent by the voice engine platform, determine a control instruction, and send the control instruction to the sub-control platform. The sub-control device 12 is further configured to adjust the working parameter of the corresponding target electric appliance 14 according to the control instruction sent by the semantic engine platform.

[0065] The voice engine platform, the semantic engine platform, and the sub-control device 12 are cooperated to accelerate the processing speed, and release the complex operation of the sub-control device 12, so that the user can complete the control of the target electric appliance 14 by simple voice operation, and the user does not need to operate the control device multiple times, thereby improving the user experience.

[0066] The total control platform 11 is connected with each sub-control device 12 and each monitoring device 13, and the total control platform 11 is configured to update the working parameter of the target electric appliance 14 according to the working parameter collected by each monitoring device 13 by using an expert system according to a set period, and distribute the updated working parameter to each sub-control device 12.

[0067] The sub-control device 12 is further configured to adjust the working parameter of the corresponding target electric appliance 14 according to the working parameter distributed by the total control platform 11.

[0068] Further, the total control platform 11 is further configured to determine the reference working parameter of each target electric appliance 14 and the use suggestion information of each target electric appliance 14 by using an expert system, and distribute the reference working parameter and the use suggestion information to each sub-control device 12. The expert system comprises a reasoning machine, a built-in knowledge base, and an online knowledge base. The built-in knowledge base stores fixed experience working parameters, and the online knowledge base stores working parameters collected in real time on the network. The total control platform 11 determines the working parameter of the target electric appliance by using a preset reasoning mechanism based on the built-in knowledge base and the online knowledge base according to the working parameter collected by each monitoring device through the reasoning machine according to a set period, and distributes the working parameter to the sub-control device 12 according to a set program and user demand, so as to update the working parameter of the target electric appliance 14. The process in which the sub-control device 12 adjusts the working parameter of the target electric appliance 14 based on the operation instruction specifically comprises: the sub-control device 12 adjusts the working parameter of the target electric appliance 14 according to the operation instruction input by the user, the reference working parameter of the corresponding target electric appliance 14, and the use suggestion information.

[0069] Further, the total control platform 11 has a user interaction interface, through which the management personnel can view the working parameters of the target electrical appliances 14 and issue relevant instructions. The management personnel can also put forward inquiries to the expert system through the user interaction interface to obtain the reference working parameters, use suggestions and solutions to different problems of the target electrical appliances 14. In addition, when an emergency occurs, the expert system can also feed back warnings and suggestions to the management personnel through the user interaction interface.

[0070] In the present application, the total control platform 11 is a remote platform capable of managing all target electrical appliances 14, which is connected with each target electrical appliance 14 in each household through a wireless manner. For example, a household is installed with a refrigerator and a washing machine, and another household is installed with a refrigerator and an air conditioner, then the total control platform 11 is connected with the refrigerator, the washing machine and the air conditioner in each household to overall control the working parameters of the target electrical appliances 14.

[0071] In order to protect the privacy of the electrical appliances in the household, the total control platform 11 needs to be operated by the management personnel with certain permissions, and the working parameters issued by the total control platform 11 have a lower priority than the operation instructions input by the user through the sub-control device 12. That is, the user can adjust the working parameters of the corresponding target electrical appliances 14 through the sub-control device 12 of each target electrical appliance 14, or automatically adjust the working parameters of all target electrical appliances 14 by receiving the overall working parameters issued by the total control platform 11.

[0072] In the present application, the total control platform 11 determines the working parameters of the target electrical appliances 14 according to the working parameters collected by each monitoring device based on the built-in knowledge base and the online knowledge base by using a preset reasoning mechanism of the reasoning machine in a set period, so as to update the working parameters of the target electrical appliances 14.

[0073] Specifically, the reasoning mechanism used by the reasoning machine can be simple arbitrary retrieval or heuristic retrieval, or can be performed by using fuzzy logic calculation. The appropriate mechanism can be used according to the application environment.

[0074] The knowledge base of the expert system is used to store various special knowledge, which is a collection of theoretical knowledge and experience knowledge obtained by experts in practice. In practical application, the expert system needs to consider various application environments, thereby causing a sharp expansion of the knowledge base, thereby causing storage difficulties and slow speed. In order to apply the expert system to family and personal life, the knowledge base is split into an embedded knowledge base and an online knowledge base in the application. The embedded knowledge base stores some common and fixed special knowledge, and is a knowledge base stored in a local machine. The design mainly focuses on efficiency and certainty. The online knowledge base is a more massive knowledge base, which is stored on the network and focuses on the amount of knowledge. The online knowledge base stores special knowledge under various application environments. When a new application environment appears, new knowledge can be added to the online knowledge base, so that users in need can monitor the corresponding knowledge. The reasoning machine tries to obtain the knowledge in the online knowledge base from the network when it cannot find the corresponding result in the embedded knowledge base.

[0075] In the regulation of the working parameters of the target appliance 14, the application combines the expert system, and can more effectively and more scientifically realize the unified control and regulation of the target appliance 14. For various working parameters monitored, the expert system uses various professional knowledge to judge, so as to realize more scientific and reasonable control and regulation, and avoid rigid mechanical regulation control and blind adjustment of the user.

[0076] In order to further improve the digital level of the target appliance 14, the user can also remotely adjust the working parameters of the target appliance 14 through the mobile application program. Through 4G and intranet penetration technology, it is ensured that the mobile application program can be remotely accessed and controlled.

[0077] The application can form digital expert systems with different characteristics according to the individual needs of different appliances, realize long-range intelligent regulation and control, and accurately create the best performance and optimal working conditions of various appliances, improve the performance and efficiency of the appliances, and provide users with more convenient, comfortable and safe use experience.

[0078] Based on the same inventive concept, the application also provides an appliance digital control method, as shown in Figure 3 The appliance digital control method includes steps 31 to 34.

[0079] Step 31, for any target appliance 14, the working parameters of the target appliance 14 are collected by the monitoring device 13 connected with the target appliance 14.

[0080] Step 32, visualizing the working parameters of the target electrical appliance 14 and providing a human-computer interaction interface to receive the user input operation instruction, adjusting the working parameters of the target electrical appliance 14 based on the operation instruction, by the sub-control device 12 connected with the target electrical appliance 14.

[0081] Step 33, updating the working parameters of the target electrical appliance 14 according to the working parameters collected by each monitoring device 13, and issuing the updated working parameters to each sub-control device 12, by the total control platform 11 according to the set period.

[0082] Step 34, adjusting the working parameters of the target electrical appliance 14 according to the working parameters issued by the total control platform 11, by the sub-control device 12 connected with the target electrical appliance 14; wherein the priority of the user input operation instruction is higher than the working parameters issued by the total control platform 11.

[0083] It should be noted that the user information (including but not limited to user equipment information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in the present application are all information and data authorized by the user or authorized by all parties, and the collection, use and processing of related data need to comply with relevant regulations.

[0084] The database involved in each embodiment provided by the present application can include at least one of a relational database and a non-relational database. The non-relational database can include a distributed database based on a blockchain, etc., without being limited thereto. The processor involved in each embodiment provided by the present application can be a general-purpose processor, a central processing unit, a graphics processing unit, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., without being limited thereto.

[0085] The technical features of the above embodiments can be combined arbitrarily, and in order to make the description concise, not all possible combinations of the technical features in the above embodiments are described, however, as long as the combinations of the technical features do not exist contradictory, they should be considered as the scope of the present application.

[0086] The principles and implementation modes of the present application are described by applying specific examples herein, and the above embodiment description is only used to help understand the method and its core idea of the present application; meanwhile, for those skilled in the art, according to the idea of the present application, the specific implementation mode and application range will be changed. In conclusion, the content of the present application should not be understood as a limitation.

Claims

1. An electric appliance digital control system, characterized by, The electric appliance digital control system comprises a total control platform, a plurality of sub-control devices and a plurality of monitoring devices; the sub-control devices and the monitoring devices are connected with target electric appliances, and each target electric appliance comprises a corresponding sub-control device and a monitoring device; The monitoring device is used for collecting the working parameters of the corresponding target electric appliance; The sub-control device is connected with the corresponding monitoring device, and the sub-control device is used for visualizing the working parameters collected by the monitoring device, providing a human-computer interaction interface, receiving the operation instruction input by the user, adjusting the working parameters of the target electric appliance based on the operation instruction; The total control platform is connected with each sub-control device and each monitoring device, and the total control platform is used for updating the working parameters of the target electric appliance based on the working parameters collected by each monitoring device according to a set period, and downloading the updated working parameters to each sub-control device; wherein the source of the expert system is the Internet, big data, AI big model, cloud data and machine learning; the total control platform is also used for providing a human-computer interaction interface, receiving the data input by the operator, accessing the expert system, and forming an AI expert system library; The sub-control device is also used for adjusting the working parameters of the corresponding target electric appliance based on the working parameters downloaded by the total control platform and the working parameters of the target electric appliance collected by the monitoring device; wherein the priority of the operation instruction input by the user is higher than that of the working parameters downloaded by the total control platform.

2. The digital control system for appliances according to claim 1, characterized in that, The target electric appliance comprises one or more of a refrigerator, a fresh-keeping cabinet, a fresh-keeping compartment, a fresh-keeping container, a fresh-keeping warehouse, a washing machine, a dishwasher, a fruit and vegetable cleaning machine, an oil smoke exhauster, a sterilizer, an oven, an air fryer and a microwave oven; the sub-control device and the monitoring device of the refrigerator and the fresh-keeping cabinet, the fresh-keeping compartment, the fresh-keeping container and the fresh-keeping warehouse are the same.

3. The digital control system for appliances according to claim 2, characterized in that, The target electric appliance is a refrigerator; the refrigerator comprises the sub-control device and the monitoring device, the monitoring device comprises a sensor, a camera and / or a radar; the camera is used for collecting images in the refrigerator in real time; the radar is used for laser scanning the environment in the refrigerator in real time; The sub-control device is also connected with the camera and the radar, and the sub-control device is also used for determining the use frequency and purpose of the refrigerator according to the images collected by the camera within a set period when the definition of the images meets the requirements, determining the use frequency and purpose of the refrigerator according to the scanning results of the radar within a set period when the definition of the images does not meet the requirements, and dividing the time within a day into a plurality of fresh-keeping periods according to the use frequency and purpose, and controlling the refrigerator to adopt different AI fresh-keeping schemes for fresh-keeping in each fresh-keeping period.

4. The digital control system for appliances according to claim 3, characterized in that, The process of determining the use frequency and purpose of the refrigerator according to the images collected by the camera within a set period by the sub-control device comprises: The sub-control device adopts a refrigerator door state recognition model to recognize the refrigerator door state in the image collected by the camera in a set period, and determines the use frequency and purpose of the refrigerator according to the refrigerator door state and the storage and access condition in the set period; the refrigerator door state recognition model is obtained by pre-training a target detection network using a training sample set, and the training sample set includes multiple sample images and the refrigerator door state and the storage and access condition in each sample image; the refrigerator door state is open or closed, and the storage and access condition includes the category and quantity of the stored and accessed objects.

5. The digital control system for appliances according to claim 3, characterized in that, The sub-control device is also used to recognize the objects in the refrigerator according to the image collected by the camera, and adjust the working parameters of the refrigerator according to the objects in the refrigerator to adapt to the preservation conditions of different objects.

6. The digital control system for appliances according to claim 3, characterized in that, The monitoring device is also used to collect the gas, water and object information in the refrigerator in real time and feed back to the total control platform; The total control platform is also used to combine the internet, big data, cloud computing, AI big model and deep learning to form an AI preservation expert system for precise preservation and comprehensive nutrition according to the internal program, built-in data, information collected and fed back by the sub-control device and monitoring device of the target appliance, comb and learn the industry-recognized preservation data of different types of storage products, and determine the individualized preservation and comprehensive nutrition AI preservation scheme for different storage products at the cellular and molecular levels according to the causes of spoilage and the stale sites of different storage products, and then store it in the AI preservation expert system library; moreover, the AI preservation expert system for precise preservation and comprehensive nutrition and the targeted AI preservation scheme are continuously learning, upgrading and gradually improving during use, and the AI preservation expert system library is updated and enriched, and the sub-control device of the target appliance is delivered according to the set period or user demand; The sub-control device generates an AI preservation scheme by calling the relevant data in the AI preservation expert system according to the internal program, built-in data and working condition information in the refrigerator fed back by the monitoring device in real time, and automatically adjusts the pressure, composition, humidity, temperature and cleanliness of the protective gas in the refrigerator to form a unique preservation gas atmosphere for different storage products in the refrigerator, and performs AI preservation on the storage products; the user can manually adjust the related preservation elements and working parameters of the protective gas in the refrigerator using the cabinet door touch screen and the human-computer interaction interface of the mobile phone APP, which has priority; when multiple storage products are placed in the same refrigerator at the same time, the individualized AI preservation scheme for different storage products can be determined by one of the methods including the greatest common divisor method, the perishable product priority method, the efficient and low-cost method and the easy and effective method, or a combination of multiple methods. The method for determining the individualized AI preservation scheme for different storage products includes one of the greatest common divisor method, the perishable product priority method, the efficient and low-cost method and the easy and effective method, or a combination of multiple methods. The common divisor method determines the execution scheme according to the common divisor of the maximum threshold and the minimum threshold of various preservation elements of the protective gas for different storage materials in the storage cabin; The perishable product priority method determines the execution scheme according to the threshold of the preservation element of the most perishable storage material in the storage cabin; The high-efficiency and low-cost method determines the execution scheme as the most high-efficiency and low-cost scheme among different schemes automatically generated by the expert system; The easy and effective method determines the execution scheme as the most easy and effective scheme among different schemes generated by the expert system.

7. The digital control system for appliances according to claim 2, characterized in that, The target electric appliance is a washing machine; the washing machine comprises the sub-control device and the monitoring device, the monitoring device is used to collect the gas-water-material information in the washing machine in real time and feed back to the total control platform; the total control platform is also used to collect the information fed back by the sub-control device and the monitoring device of the washing machine according to the built-in program, built-in data and washing machine, combine the Internet, big data, cloud computing, AI big model and deep learning, sort out and learn the best washing-drying data of different kinds of clothes to be washed and form a series of AI washing expert system, find new paths for washing-drying according to the pollution factors and treatment targets of different clothes, design personalized targeted decontamination comprehensive washing-drying scheme, and then store it into the AI washing expert system library; moreover, the AI washing expert system and the personalized targeted decontamination comprehensive washing-drying scheme are continuously learning, upgrading and gradually improving in the use process, and the AI washing expert system library is successively updated and enriched, and is issued to the sub-control device of the target electric appliance according to the set period or according to the user demand; The sub-control device can adaptively call the related data in the AI washing expert system and generate an AI washing execution scheme according to the built-in program, built-in data and working condition information in the washing machine fed back by the monitoring device in real time, the AI washing execution scheme automatically controls various washing-drying elements such as the positive and negative pressure of the gas in the washing machine, airflow, ozone concentration, water supply and drainage control, drum speed matching, steam generation and water temperature, and performs AI washing on different clothes in the washing machine; the user can manually control the related washing-drying elements and working parameters of the washing machine by using the cabinet door touch screen and the man-machine interaction interface of the mobile phone APP, which has a priority level.

8. The digital control system for appliances according to claim 1, characterized in that, The sub-control device is also used to obtain the position of the corresponding target electric appliance, obtain the goods and prices of merchants within a certain range according to the position of the target electric appliance, and visually display the goods and prices, receive the ordering instruction input by the user, and place an order based on the ordering instruction to purchase the corresponding goods.

9. The digital control system for appliances according to claim 1, characterized in that, The total control platform is also used to determine the reference working parameters of each target electric appliance and the use suggestion information of each target electric appliance by using an expert system, and issue them to each sub-control device; The expert system comprises a reasoning machine, a built-in knowledge base and an online knowledge base; the built-in knowledge base stores fixed experience working parameters; the online knowledge base stores real-time collected working parameters on the network. The total control platform determines the working parameters of the target electrical appliance according to the working parameters collected by each monitoring device, based on the built-in knowledge base and the online knowledge base, and according to a preset reasoning mechanism, at a set period, and sends the working parameters to the sub-control device according to a set program and user demand, to update the working parameters of the target electrical appliance. The process in which the sub-control device adjusts the working parameters of the target electrical appliance based on the operation instruction specifically includes: the sub-control device adjusts the working parameters of the target electrical appliance according to the operation instruction input by the user, the reference working parameters of the corresponding target electrical appliance, and the use suggestion information.

10. A method for digital control of an electric appliance, using the electric appliance digital control system according to any one of claims 1 to 9, characterized in that, The electrical appliance digital control method includes: For any target electrical appliance, the working parameters of the target electrical appliance are collected by a monitoring device connected to the target electrical appliance; The working parameters of the target electrical appliance are visually displayed by a sub-control device connected to the target electrical appliance, and a human-computer interaction interface is provided to receive an operation instruction input by a user, and the working parameters of the target electrical appliance are adjusted based on the operation instruction; The working parameters of the target electrical appliance are updated by an expert system according to the working parameters collected by each monitoring device at a set period by a total control platform, and the updated working parameters are sent to each sub-control device; For any target electrical appliance, the working parameters of the target electrical appliance are adjusted by a sub-control device connected to the target electrical appliance according to the working parameters sent by the total control platform; wherein the priority of the operation instruction input by the user is higher than that of the working parameters sent by the total control platform.

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