A method of controlling a warewashing apparatus and a warewashing apparatus

Abstract

The application discloses a kind of dish washing equipment control method and dish washing equipment.The method includes in the working process of dish washing equipment, the current organic matter turbidity index of washing water is obtained;According to the size relation of the current organic matter turbidity index and preset turbidity index threshold, the corresponding control strategy is executed to the dish washing equipment.The technical scheme of the application improves the accuracy of washing water turbidity detection, thereby improving the accuracy of tableware cleaning degree detection.

Description

Technical Field

[0001] This invention relates to the field of smart home appliance technology, and in particular to a control method for a dishwasher and a dishwasher. Background Technology

[0002] With societal development and the increasing prevalence of smart technology, people are pursuing a healthier lifestyle. Dishwashing equipment has become an indispensable part of household life. A temperature and turbidity sensor is installed in the sink of these dishwashers, which can be used not only to detect the cleanliness of the dishes but also to monitor drainage.

[0003] Existing temperature and turbidity sensors use the principle that the intensity of scattered light and turbidity are linearly related to each other to detect whether the dishes are clean. Different degrees of turbidity in the water result in different voltage values ​​detected by the sensor, which is used to determine whether the dishes are clean. However, after a certain period of use in a dishwasher, the sensor surface becomes dirty, which can lead to inaccurate detection. Summary of the Invention

[0004] This invention provides a method for controlling a dishwashing device and a dishwashing device to improve the accuracy of detecting the degree of turbidity in the washing water, thereby improving the accuracy of detecting the cleanliness of the tableware.

[0005] According to one aspect of the present invention, a method for controlling a dishwasher is provided, the method comprising:

[0006] During the operation of the dishwasher, the current organic turbidity index of the washing water is obtained;

[0007] Based on the relationship between the current organic matter turbidity index and the preset turbidity index threshold, a corresponding control strategy is executed on the dishwasher.

[0008] According to another aspect of the present invention, a dishwasher control device is provided, the device comprising:

[0009] The turbidity index acquisition module is used to acquire the current organic turbidity index of the washing water during the operation of the dishwasher.

[0010] The equipment control module is used to execute a corresponding control strategy on the dishwasher based on the relationship between the current organic matter turbidity index and the preset turbidity index threshold.

[0011] According to another aspect of the present invention, a dishwasher is provided, the dishwasher comprising:

[0012] At least one processor; and

[0013] A memory communicatively connected to the at least one processor; wherein,

[0014] The memory stores a computer program that can be executed by the at least one processor, which enables the at least one processor to perform the dishwasher control method according to any embodiment of the present invention.

[0015] According to another aspect of the present invention, a computer-readable storage medium is provided, the computer-readable storage medium storing computer instructions for causing a processor to execute and implement the dishwasher control method according to any embodiment of the present invention.

[0016] The technical solution of this invention obtains the current organic matter turbidity index of the washing water during the operation of the dishwasher; and executes a corresponding control strategy on the dishwasher based on the relationship between the current organic matter turbidity index and a preset turbidity index threshold. This method, which uses the organic matter turbidity index of the washing water as a basis for controlling the dishwasher, solves the problem that existing dishwasher water turbidity detection methods are prone to inaccurate results due to dirty sensor surfaces, thus improving the accuracy of washing water turbidity detection and consequently improving the accuracy of tableware cleanliness detection.

[0017] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of the present invention, nor is it intended to limit the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0019] Figure 1a This is a flowchart of a washing equipment control method provided in Embodiment 1 of the present invention;

[0020] Figure 1b This is a schematic diagram of a preset neural network structure provided in an embodiment of the present invention;

[0021] Figure 1c This embodiment provides a complete flowchart of a dishwasher control method.

[0022] Figure 2 This is a schematic diagram of the structure of a dishwasher control device provided in Embodiment 3 of the present invention;

[0023] Figure 3This is a schematic diagram of the structure of an electronic device that implements the washing equipment control method of the present invention. Detailed Implementation

[0024] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0025] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0026] Example 1

[0027] Figure 1a This is a flowchart of a washing equipment control method provided in Embodiment 1 of the present invention. This embodiment is applicable to situations where washing equipment is controlled according to the turbidity index of the washing water. This method can be executed by a washing equipment control device, which can be implemented in hardware and / or software, and can be configured in the main controller of the washing equipment. Figure 1a As shown, the method includes:

[0028] S110. During the operation of the dishwasher, obtain the current organic turbidity index of the washing water.

[0029] Washing water can refer to the washing water used in each stage of the dishwasher before it finishes its work, such as the washing water used in the first washing stage, the second rinsing stage, and the third rinsing stage.

[0030] In this embodiment, during the operation of the dishwasher, the turbidity index of organic matter in the washing water at each stage can be detected.

[0031] In one optional implementation, obtaining the current organic matter turbidity index of the wash water may include: collecting the real-time content value of organic matter in the wash water; and calculating the current organic matter turbidity index of the wash water based on the real-time content value of organic matter. Specifically, calculating the current organic matter turbidity index of the wash water based on the real-time content value of organic matter may include: calculating the current organic matter turbidity index of the wash water using a preset organic matter turbidity index algorithm.

[0032] In this embodiment, the organic matter content of the washing water at each working stage of the washing equipment can be collected, and the organic matter turbidity index of the washing water after the current working stage is calculated by a preset organic matter turbidity index algorithm.

[0033] In this embodiment, for the detection of the organic turbidity index in washing water, a measurement standard for the organic turbidity index can be preset. For example, as shown in Table 1 below, an example of a measurement standard is provided. This measurement standard can be set according to needs, and this embodiment does not limit it.

[0034] Table 1

[0035] serial number project First cleaning dirt level 1 No dishwashing powder added 550 2 15g dishwashing powder 1700 3 15g dishwashing powder + 10g sweet chili sauce 1900 4 15g dishwashing powder + 10g soy sauce 2700 5 15g dishwashing powder + 10g MSG 1700 6 15g dishwashing powder + 10g salad oil 3000

[0036] In this embodiment, the real-time content value of organic matter in the washing water is collected, which can be achieved in the following way: a sample of washing water is collected from the washing water, and the real-time content value of various organic substances in the sample washing water is obtained.

[0037] Accordingly, in one scenario where various organic substances are mixed in the wash water, referring to the measurement standards in Table 1, the turbidity index of the organic substances in the wash water can be calculated as follows: The current organic turbidity index of the wash water is obtained by calculating the real-time content value of organic substances using a preset organic turbidity index algorithm. This can include: calculating the proportion of each organic substance in the sample wash water based on its real-time content value; and weighting and summing the proportions of each organic substance in the sample wash water with the corresponding preset organic turbidity index measurement standards to calculate the organic turbidity index of the sample wash water as its current organic turbidity index.

[0038] Intuitively, it can be done through formulas Calculate the organic turbidity index in the sample wash water, where x represents the turbidity index of various organic substances in the measurement standard, w represents the proportion of various organic substances in the current sample wash water, and c represents the organic turbidity index of the current sample wash water.

[0039] Correspondingly, in another scenario, if the organic matter turbidity index of the wash water in the second rinsing stage is measured, the organic matter content in the wash water may be lower than that in the first rinsing stage wash water as measured by the standards in Table 1. Therefore, the organic matter turbidity index of the wash water can be calculated in the following way: The real-time organic matter content value is calculated using a preset organic matter turbidity index algorithm to obtain the current organic matter turbidity index of the wash water. This can include: using a preset neural network to calculate the real-time content value of various organic substances in the sample wash water to obtain the organic matter turbidity index of the sample wash water as the current organic matter turbidity index of the wash water; the input layer of the preset neural network represents the real-time content value of various organic substances in the sample wash water, the hidden layer represents the processing of the real-time content value of various organic substances in the sample wash water, and the output layer represents the organic matter turbidity index of the sample wash water. The preset neural network is learned using the gradient descent method.

[0040] The structure of the pre-defined neural network can be as follows: Figure 1b As shown, it includes an input layer, hidden layers, and an output layer. The preset neural network in this embodiment can be learned using the RBF (Radial Basis Function) neural network learning algorithm, which requires three parameters: the center of the basis function, the variance (width), and the weights from the hidden layers to the output layer. Three common learning methods for RBF neural networks are: clustering methods, gradient training methods, and orthogonal least squares methods. Here, we take gradient descent as an example, and the iterative calculation is as follows:

[0041]

[0042] Where w represents the weights from the hidden layer to the output layer, C represents the center component, d represents the width, k represents the output neuron, i represents the hidden neuron, u represents the learning factor, and E represents the parity function. Where O represents the desired output value and Y represents the network output value.

[0043] S120. Based on the relationship between the current organic matter turbidity index and the preset turbidity index threshold, execute the corresponding control strategy for the dishwasher.

[0044] In one optional implementation, the dishwasher is controlled to perform a corresponding control strategy based on the relationship between the current organic matter turbidity index and the preset turbidity index threshold. This strategy may include: controlling the dishwasher to continue washing the dishes when the current organic matter turbidity index is greater than or equal to the preset turbidity index threshold; and controlling the dishwasher to stop washing the dishes and drain water when the current organic matter turbidity index is less than the preset turbidity index threshold.

[0045] In this embodiment, if the current organic matter turbidity index is greater than or equal to a preset turbidity index threshold, it indicates that the cleanliness of the current washing water has not yet reached a certain standard, meaning the cleanliness of the dishes to be washed has not yet reached a certain standard. Therefore, the dishwasher can be controlled to continue working to continue washing the dishes. If the current organic matter turbidity index is less than the preset turbidity index threshold, it indicates that the cleanliness of both the current washing water and the dishes to be washed has reached a certain standard. Therefore, the dishwasher can be controlled to stop working and drain water. The preset turbidity index threshold can be set based on experience, and this embodiment does not limit it.

[0046] The technical solution of this embodiment obtains the current organic matter turbidity index of the washing water during the operation of the dishwasher; and executes a corresponding control strategy for the dishwasher based on the relationship between the current organic matter turbidity index and a preset turbidity index threshold. This technical means of controlling the dishwasher based on the organic matter turbidity index in the washing water solves the problem that existing dishwasher water turbidity detection methods are prone to inaccurate results due to the surface of the detection sensor becoming dirty, thus improving the accuracy of washing water turbidity detection and consequently improving the accuracy of tableware cleanliness detection.

[0047] Optionally, after obtaining the current organic turbidity index of the wash water, the method may further include: uploading the current organic turbidity index of the wash water to the user terminal to send healthy eating tips to the user through the user terminal.

[0048] In this embodiment, the dishwasher can be remotely controlled by the user terminal. The dishwasher can also upload the organic matter content and organic matter turbidity index of the washing water detected during the working stage to the user terminal so that the user can understand their dietary health. It can also send healthy eating tips to the user terminal, such as "Your diet is too high in fat. It is recommended to reduce your intake of fried and cake-type foods."

[0049] Optionally, after obtaining the current organic turbidity index of the washing water, the process may further include: uploading the current organic turbidity index of the washing water to the user terminal to send a prompt message to the user to adjust the washing program.

[0050] In this embodiment, the information such as the organic matter content value and organic matter turbidity index sent by the dishwasher to the user can also be used to prompt the user to adjust the dishwasher program accordingly. For example, if the organic matter turbidity index is high, the user can be prompted to adjust the washing program to strong washing, disinfection, etc.

[0051] To enable those skilled in the art to better understand the dishwasher control method of this embodiment, Figure 1c This embodiment provides a complete flowchart of a dishwasher control method.

[0052] When the dishwasher starts running, it can first execute a drainage program to remove residual water from the previous run and prevent contamination of the current wash. Next, it can execute a water intake program to perform washing and rinsing. Temperature and turbidity sensors installed within the dishwasher detect the organic matter content and turbidity index of the washing water at each stage, sending these data to the main control board for evaluation. If the turbidity index is greater than or equal to a preset threshold (e.g., 50), washing can continue; if the turbidity index is less than the threshold, washing can end and the drainage program can be executed. The organic matter content and turbidity index data can also be uploaded to a host computer or user terminal to provide users with tips on healthy eating or to adjust the washing program accordingly.

[0053] Example 2

[0054] Figure 2 This is a schematic diagram of a dishwasher control device provided in Embodiment 3 of the present invention. Figure 2 As shown, the device includes: a turbidity index acquisition module 210 and an equipment control module 220.

[0055] in:

[0056] The turbidity index acquisition module 210 is used to acquire the current organic turbidity index of the washing water during the operation of the dishwasher.

[0057] The equipment control module 220 is used to execute a corresponding control strategy on the dishwasher based on the relationship between the current organic matter turbidity index and the preset turbidity index threshold.

[0058] The technical solution of this invention obtains the current organic matter turbidity index of the washing water during the operation of the dishwasher; and executes a corresponding control strategy on the dishwasher based on the relationship between the current organic matter turbidity index and a preset turbidity index threshold. This method, which uses the organic matter turbidity index of the washing water as a basis for controlling the dishwasher, solves the problem that existing dishwasher water turbidity detection methods are prone to inaccurate results due to dirty sensor surfaces, thus improving the accuracy of washing water turbidity detection and consequently improving the accuracy of tableware cleanliness detection.

[0059] Optionally, the turbidity index acquisition module 210 may include:

[0060] An organic matter content acquisition unit is used to acquire the real-time content of organic matter in the wash water;

[0061] The turbidity index calculation unit is used to calculate the current organic turbidity index of the washing water based on the real-time content value of the organic matter.

[0062] Optional, the turbidity index calculation unit can be used specifically for:

[0063] The real-time content of organic matter is calculated using a preset organic matter turbidity index algorithm to obtain the current organic matter turbidity index of the washing water.

[0064] Optional, the organic matter content acquisition unit can be used for:

[0065] Samples of the washing water were collected, and the real-time content values ​​of various organic substances in the sample washing water were obtained.

[0066] Correspondingly, the turbidity index calculation unit can also be used for:

[0067] The proportion of each organic compound in the sample wash water is calculated based on the real-time content values ​​of each organic compound in the sample wash water.

[0068] The organic turbidity index of the sample washing water is calculated by weighting and summing the proportions of various organic substances in the sample washing water with the corresponding preset organic turbidity index measurement standard, and is used as the current organic turbidity index of the washing water.

[0069] Correspondingly, the turbidity index calculation unit can also be used for:

[0070] The real-time content values ​​of various organic substances in the sample washing water are calculated using a preset neural network to obtain the organic turbidity index of the sample washing water, which is used as the current organic turbidity index of the washing water.

[0071] The input layer of the preset neural network represents the real-time content value of various organic substances in the sample wash water, the hidden layer represents the processing of the real-time content value of various organic substances in the sample wash water, and the output layer represents the organic turbidity index of the sample wash water. The preset neural network is learned using the gradient descent method.

[0072] Optional, the device control module 220 can be used for:

[0073] If the current organic matter turbidity index is greater than or equal to the preset turbidity index threshold, the dishwasher is controlled to continue washing the dishes to be washed.

[0074] If the current organic turbidity index is less than the preset turbidity index threshold, the dishwasher is controlled to stop washing the dishes to be washed and to drain water.

[0075] Optionally, the dishwasher control device further includes a first prompt information sending module, used for:

[0076] The current organic turbidity index of the washing water is uploaded to the user terminal so as to send healthy eating tips to the user through the user terminal.

[0077] Optionally, the dishwasher control device further includes a second prompt message sending module, used for:

[0078] The current organic turbidity index of the washing water is uploaded to the user terminal so that the user terminal can send a prompt message to the user to adjust the washing program.

[0079] The dishwasher control device provided in this embodiment of the invention can execute the dishwasher control method provided in any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the method.

[0080] Example 3

[0081] Figure 3 A schematic diagram of an electronic device 300 that can be used to implement embodiments of the present invention is shown. The electronic device is intended to represent various forms of digital computers or various forms of mobile devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the invention described and / or claimed herein.

[0082] like Figure 3 As shown, the electronic device 300 includes at least one processor 301 and a memory, such as a read-only memory (ROM) 302 or a random access memory (RAM) 303, communicatively connected to the at least one processor 301. The memory stores computer programs executable by the at least one processor. The processor 301 can perform various appropriate actions and processes based on the computer program stored in the ROM 302 or loaded into the RAM 303 from storage unit 308. The RAM 303 can also store various programs and data required for the operation of the electronic device 300. The processor 301, ROM 302, and RAM 303 are interconnected via a bus 304. An input / output (I / O) interface 305 is also connected to the bus 304.

[0083] Multiple components in electronic device 300 are connected to I / O interface 305, including: input unit 306, such as keyboard, mouse, etc.; output unit 307, such as various types of displays, speakers, etc.; storage unit 308, such as disk, optical disk, etc.; and communication unit 309, such as network card, modem, wireless transceiver, etc. Communication unit 309 allows electronic device 300 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0084] Processor 301 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 301 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. Processor 301 performs the various methods and processes described above, such as dishwasher control methods.

[0085] In some embodiments, the dishwasher control method may be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 308. In some embodiments, part or all of the computer program may be loaded into and / or installed on electronic device 300 via ROM 302 and / or communication unit 309. When the computer program is loaded into RAM 303 and executed by processor 301, one or more steps of the dishwasher control method described above may be performed. Alternatively, in other embodiments, processor 301 may be configured to perform the dishwasher control method by any other suitable means (e.g., by means of firmware).

[0086] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0087] Computer programs used to implement the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be performed. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0088] In the context of this invention, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination thereof. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0089] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0090] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or computing systems that include middleware components (e.g., application servers), or computing systems that include frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

[0091] A computing system can include clients and servers. Clients and servers are generally located far apart and typically interact through communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a hosting product within the cloud computing service system to address the shortcomings of traditional physical hosts and VPS services, such as high management difficulty and weak business scalability.

[0092] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.

[0093] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A method for controlling a dishwasher, characterized in that, include: During the operation of the dishwasher, the current organic turbidity index of the washing water is obtained; Based on the relationship between the current organic matter turbidity index and the preset turbidity index threshold, a corresponding control strategy is executed on the dishwasher.

2. The method according to claim 1, characterized in that, Obtain the current organic turbidity index of the wash water, including: Collect the real-time content of organic matter in the wash water; The current organic matter turbidity index of the washing water is calculated based on the real-time content value of the organic matter.

3. The method according to claim 2, characterized in that, The current organic matter turbidity index of the wash water is calculated based on the real-time content value of the organic matter, including: The real-time content of organic matter is calculated using a preset organic matter turbidity index algorithm to obtain the current organic matter turbidity index of the washing water.

4. The method according to claim 3, characterized in that, Collect real-time organic matter content values ​​in the wash water, including: Samples of the washing water were collected, and the real-time content values ​​of various organic substances in the sample washing water were obtained. The real-time content of organic matter is calculated using a preset organic matter turbidity index algorithm to obtain the current organic matter turbidity index of the washing water, including: The proportion of each organic compound in the sample wash water is calculated based on the real-time content values ​​of each organic compound in the sample wash water. The organic turbidity index of the sample washing water is calculated by weighting and summing the proportions of various organic substances in the sample washing water with the corresponding preset organic turbidity index measurement standard, and is used as the current organic turbidity index of the washing water.

5. The method according to claim 4, characterized in that, The real-time content of organic matter is calculated using a preset organic matter turbidity index algorithm to obtain the current organic matter turbidity index of the washing water, including: The real-time content of various organic substances in the sample wash water is calculated using a preset neural network to obtain the organic turbidity index of the sample wash water, which is then used as the current organic turbidity index of the wash water. The input layer of the preset neural network represents the real-time content value of various organic substances in the sample wash water, the hidden layer represents the processing of the real-time content value of various organic substances in the sample wash water, and the output layer represents the organic turbidity index of the sample wash water. The preset neural network is learned using the gradient descent method.

6. The method according to claim 1, characterized in that, Based on the relationship between the current organic matter turbidity index and the preset turbidity index threshold, a corresponding control strategy is implemented for the dishwasher, including: If the current organic matter turbidity index is greater than or equal to the preset turbidity index threshold, the dishwasher is controlled to continue washing the dishes to be washed. If the current organic turbidity index is less than the preset turbidity index threshold, the dishwasher is controlled to stop washing the dishes to be washed and to drain water.

7. The method according to claim 1, characterized in that, After obtaining the current organic turbidity index of the wash water, the following is also included: The current organic turbidity index of the washing water is uploaded to the user terminal so as to send healthy eating tips to the user through the user terminal.

8. The method according to claim 1, characterized in that, After obtaining the current organic turbidity index of the wash water, the following is also included: The current organic turbidity index of the washing water is uploaded to the user terminal so that the user terminal can send a prompt message to the user to adjust the washing program.

9. A dishwasher, characterized in that, The dishwasher equipment includes: At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor to enable the at least one processor to perform the dishwasher control method according to any one of claims 1-8.

10. The dishwasher according to claim 9, characterized in that, Also includes: Temperature and turbidity sensors are used to detect the organic matter content and organic turbidity index in washing water.

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