Abnormality early warning method and device applied to clothes drying device

Abstract

The application discloses an abnormality early warning method and device applied to a clothes drying equipment, and the method comprises the following steps: when it is detected that the clothes to be dried in the clothes drying equipment contain attachments, the composition information of the attachments is obtained by analyzing the types of the attachments, the influence probability of the attachments on the clothes drying equipment is predicted according to the composition information, the negative influence degree of the attachments on the clothes drying equipment under the current clothes drying state is determined according to the influence probability, and it is judged whether the negative influence degree is greater than a preset influence degree threshold value; when it is judged that the negative influence degree is greater than the preset influence degree threshold value, the current clothes drying state is determined as an abnormal state, and abnormal prompt information is sent to a user. It can be seen that the application can obtain various composition information of the attachments by analyzing the types of the attachments, and the clothes drying state is judged to be abnormal or not according to the negative influence degree determined according to the composition information, so that the safety of the user in the clothes drying process and the accuracy of the abnormality early warning are improved.

Description

Technical Field

[0001] This invention relates to the field of smart home appliance technology, and in particular to an abnormality early warning method and device for clothes drying equipment. Background Technology

[0002] In today's daily life, most families are equipped with independent dryers or washing machines with drying functions. However, due to the variety of materials of the clothes placed inside the equipment and the different types of residues that may be attached to them, chemical reactions may occur at high temperatures during the drying process, or the dryer may be damaged, thus indirectly leading to safety accidents. Therefore, there are significant safety hazards for household users when using dryers.

[0003] Therefore, an abnormality warning method and device for drying equipment is provided to solve the technical problems of frequent unnecessary abnormal accidents caused by foreign objects on clothes during the drying process and low safety during the drying process. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to provide a method and device for abnormal early warning of clothes drying equipment, which can help improve the safety of users in the clothes drying process and the accuracy of abnormal early warning.

[0005] To address the aforementioned technical problems, the first aspect of this invention discloses an abnormality early warning method for clothes drying equipment, the method comprising:

[0006] When the clothes to be dried in the drying equipment are detected to contain attached substances, the type of the attached substances is determined;

[0007] The adhesive is analyzed according to its type to obtain its composition information, and the probability of its impact on the drying equipment is predicted based on the composition information.

[0008] The degree of negative impact of the attached substance on the drying equipment under the current drying state is determined based on the impact probability.

[0009] Determine whether the negative impact is greater than a preset impact threshold. If the negative impact is greater than the preset impact threshold, determine that the current drying state is abnormal and send an abnormal prompt message to the user.

[0010] As an optional implementation, in the first aspect of the present invention, the step of analyzing the attachment according to its type to obtain the composition information of the attachment includes:

[0011] When the type of the attached substance is determined to be solid, the liquid is analyzed to obtain the composition information of the liquid, and the chemical properties of the liquid are determined based on the composition information of the liquid.

[0012] The chemical properties of the liquid include at least one of volatility and flammability;

[0013] The step of predicting the probability of the impact of the adhering substance on the clothes drying equipment based on the composition information includes:

[0014] When the chemical property of the liquid is determined to be volatile, the probability of the liquid's first impact on the drying equipment is predicted based on the volatility of the liquid.

[0015] When the chemical properties of the liquid are determined to be flammable, the probability of a second impact of the liquid on the drying equipment is predicted based on the flammability of the liquid.

[0016] Wherein, the first influence probability represents the probability that the drying equipment will produce an odor, and the second influence probability represents the probability that combustion will occur inside the drying equipment.

[0017] As an optional implementation, in the first aspect of the present invention, the method further includes:

[0018] When the type of the attached substance is determined to be solid, the solid is analyzed to obtain the composition information of the solid, and the chemical properties and physical form of the solid are determined based on the composition information;

[0019] When the solid is determined to be a sharp object with hardness, the probability of the solid's third impact on the drying equipment is predicted based on the solid's physical morphology.

[0020] When it is determined that the solid is a solid with a low melting point, the probability of the fourth impact of the solid on the drying equipment is predicted based on the chemical properties of the solid.

[0021] When the solid is determined to be flammable, the probability of the solid's fifth impact on the drying equipment is predicted based on the solid's chemical properties.

[0022] The third influence probability represents the probability that the inside of the drying equipment is scratched by the solid, the fourth influence probability represents the probability that the inside of the drying equipment is adhered to by the solid, and the fifth influence probability represents the probability that combustion occurs inside the drying equipment.

[0023] As an optional implementation, in a first aspect of the invention, determining the degree of negative impact of the deposit on the drying equipment under the current drying state based on the influence probability includes:

[0024] The degree of odor generation by the liquid on the drying equipment under the current drying state is determined based on the first influence probability; and / or,

[0025] The ignition point of the liquid under the current drying state is determined based on the second influence probability; and / or,

[0026] The degree of scratching damage to the drying equipment by the solid under the current drying state is determined based on the third influence probability; and / or,

[0027] The degree of adhesion of the solid to the drying equipment under the current drying state is determined based on the fourth influence probability; and / or,

[0028] The solid ignition point of the solid under the current drying state is determined based on the fifth influence probability.

[0029] As an optional implementation, in the first aspect of the present invention, determining whether the negative impact degree is greater than a preset impact degree threshold, and determining the current drying state as an abnormal state when it is determined that the negative impact degree is greater than the preset impact degree threshold, includes:

[0030] Determine whether the degree of odor generation is greater than or equal to a preset odor generation threshold. When the degree of odor generation is determined to be greater than or equal to the odor generation threshold, determine that the current drying state is a first abnormal state; and / or,

[0031] Determine whether the preset temperature of the drying equipment in the current drying state is greater than or equal to the ignition point of the liquid. If it is determined that the preset temperature of the drying equipment in the current drying state is greater than or equal to the ignition point of the liquid, determine that the current drying state is a second abnormal state; and / or,

[0032] Determine whether the degree of scratch damage is greater than or equal to a preset scratch damage threshold. If the degree of scratch damage is determined to be greater than or equal to the scratch damage threshold, determine that the current drying state is a third abnormal state; and / or,

[0033] Determine whether the adhesion degree is greater than or equal to a preset adhesion degree threshold. If the adhesion degree is determined to be greater than or equal to the adhesion degree threshold, determine that the current drying state is a fourth abnormal state; and / or,

[0034] Determine whether the preset temperature of the drying equipment in the current drying state is greater than or equal to the solid ignition point. When it is determined that the preset temperature of the drying equipment in the current drying state is greater than or equal to the solid ignition point, the current drying state is determined to be the fifth abnormal state.

[0035] As an optional implementation, in the first aspect of the present invention, sending the abnormality notification information to the user includes:

[0036] When the current drying status is determined to be the first abnormal status, an abnormal prompt message is sent to the user that the clothes to be dried contain volatile liquids.

[0037] When the current drying status is determined to be the second abnormal status, an abnormal prompt message is sent to the user that the clothes to be dried contain flammable liquid;

[0038] When the current drying status is determined to be the third abnormal status, an abnormal prompt message is sent to the user indicating that there are sharp or hard objects in the clothes to be dried.

[0039] When the current drying status is determined to be the fourth abnormal status, an abnormal prompt message is sent to the user that the clothes to be dried contain fusible solids.

[0040] When the current drying status is determined to be the fifth abnormal status, an abnormal prompt message is sent to the user indicating that the clothes to be dried contain flammable solids.

[0041] As an optional implementation, in a first aspect of the present invention, the method includes:

[0042] When clothes to be dried are detected inside the drying equipment, the material type of the clothes to be dried is determined;

[0043] The composition information of the clothes to be dried is obtained by analyzing the material type of the clothes to be dried, and the ignition point of the material of the clothes to be dried is determined based on the composition information.

[0044] The system determines whether the preset temperature of the drying equipment in the current drying state is greater than the ignition point of the material. When it is determined that the preset temperature of the drying equipment in the current drying state is greater than the ignition point of the material, the system determines that the current drying state is abnormal and sends an abnormal prompt message to the user.

[0045] A second aspect of the present invention discloses an abnormality warning device for use in a clothes drying equipment, the device comprising:

[0046] A determination module is used to determine the type of attachment when it detects that the clothes to be dried in the drying equipment contain attached substances.

[0047] The analysis module analyzes the attachment based on the type of attachment determined by the determination module to obtain the composition information of the attachment;

[0048] The prediction module is used to predict the probability of the impact of the adhering substance on the drying equipment based on the component information obtained by the analysis module.

[0049] The determining module is further configured to determine the degree of negative impact of the attachment on the drying equipment under the current drying state based on the impact probability predicted by the prediction module;

[0050] The judgment module is used to determine whether the negative impact degree determined by the determination module is greater than a preset impact degree threshold. When it is determined that the negative impact degree is greater than the preset impact degree threshold, the current drying state is determined to be an abnormal state.

[0051] The sending module is used to send an abnormal prompt message to the user when the judgment module determines that the current drying status is abnormal.

[0052] As an optional implementation, in a second aspect of the present invention, the analysis module analyzes the attachment according to its type to obtain the composition information of the attachment in the following specific manner:

[0053] When the type of the attached substance is determined to be solid, the liquid is analyzed to obtain the composition information of the liquid, and the chemical properties of the liquid are determined based on the composition information of the liquid.

[0054] The chemical properties of the liquid include at least one of volatility and flammability;

[0055] The specific method by which the prediction module predicts the probability of the impact of the adhering substance on the drying equipment based on the component information is as follows:

[0056] When the chemical property of the liquid is determined to be volatile, the probability of the liquid's first impact on the drying equipment is predicted based on the volatility of the liquid.

[0057] When the chemical properties of the liquid are determined to be flammable, the probability of a second impact of the liquid on the drying equipment is predicted based on the flammability of the liquid.

[0058] Wherein, the first influence probability represents the probability that the drying equipment will produce an odor, and the second influence probability represents the probability that combustion will occur inside the drying equipment.

[0059] As an optional implementation, in a second aspect of the present invention, the analysis module is further configured to analyze the solid when the determining module determines that the type of the attached substance is solid, and obtain the composition information of the solid.

[0060] The determining module is further configured to determine the chemical properties and physical form of the solid based on the composition information obtained by the analysis module.

[0061] The prediction module is further configured to predict the probability of a third impact of the solid on the drying equipment based on the physical form of the solid when the determining module determines that the solid is a sharp object with hardness.

[0062] When it is determined that the solid is a solid with a low melting point, the probability of the fourth impact of the solid on the drying equipment is predicted based on the chemical properties of the solid.

[0063] When the solid is determined to be flammable, the probability of the solid's fifth impact on the drying equipment is predicted based on the solid's chemical properties.

[0064] The third influence probability represents the probability that the inside of the drying equipment is scratched by the solid, the fourth influence probability represents the probability that the inside of the drying equipment is adhered to by the solid, and the fifth influence probability represents the probability that combustion occurs inside the drying equipment.

[0065] As an optional implementation, in a second aspect of the present invention, the determining module determines the degree of negative impact of the deposit on the drying equipment under the current drying state based on the influence probability in the following specific manner:

[0066] The degree of odor generation by the liquid on the drying equipment under the current drying state is determined based on the first influence probability; and / or,

[0067] The ignition point of the liquid under the current drying state is determined based on the second influence probability; and / or,

[0068] The degree of scratching damage to the drying equipment by the solid under the current drying state is determined based on the third influence probability; and / or,

[0069] The degree of adhesion of the solid to the drying equipment under the current drying state is determined based on the fourth influence probability; and / or,

[0070] The solid ignition point of the solid under the current drying state is determined based on the fifth influence probability.

[0071] As an optional implementation, in the second aspect of the present invention, the determining module determines whether the negative impact degree is greater than a preset impact degree threshold. When it is determined that the negative impact degree is greater than the preset impact degree threshold, the specific method for determining that the current drying state is an abnormal state is as follows:

[0072] Determine whether the degree of odor generation is greater than or equal to a preset odor generation threshold. When the degree of odor generation is determined to be greater than or equal to the odor generation threshold, determine that the current drying state is a first abnormal state; and / or,

[0073] Determine whether the preset temperature of the drying equipment in the current drying state is greater than or equal to the ignition point of the liquid. If it is determined that the preset temperature of the drying equipment in the current drying state is greater than or equal to the ignition point of the liquid, determine that the current drying state is a second abnormal state; and / or,

[0074] Determine whether the degree of scratch damage is greater than or equal to a preset scratch damage threshold. If the degree of scratch damage is determined to be greater than or equal to the scratch damage threshold, determine that the current drying state is a third abnormal state; and / or,

[0075] Determine whether the adhesion degree is greater than or equal to a preset adhesion degree threshold. If the adhesion degree is determined to be greater than or equal to the adhesion degree threshold, determine that the current drying state is a fourth abnormal state; and / or,

[0076] Determine whether the preset temperature of the drying equipment in the current drying state is greater than or equal to the solid ignition point. When it is determined that the preset temperature of the drying equipment in the current drying state is greater than or equal to the solid ignition point, the current drying state is determined to be the fifth abnormal state.

[0077] As an optional implementation, in the second aspect of the present invention, the sending module sends the abnormality notification information to the user in the following specific manner:

[0078] When the current drying status is determined to be the first abnormal status, an abnormal prompt message is sent to the user that the clothes to be dried contain volatile liquids.

[0079] When the current drying status is determined to be the second abnormal status, an abnormal prompt message is sent to the user that the clothes to be dried contain flammable liquid;

[0080] When the current drying status is determined to be the third abnormal status, an abnormal prompt message is sent to the user indicating that there are sharp or hard objects in the clothes to be dried.

[0081] When the current drying status is determined to be the fourth abnormal status, an abnormal prompt message is sent to the user that the clothes to be dried contain fusible solids.

[0082] When the current drying status is determined to be the fifth abnormal status, an abnormal prompt message is sent to the user indicating that the clothes to be dried contain flammable solids.

[0083] As an optional implementation, in a second aspect of the invention, the determining module is further configured to determine the material type of the clothes to be dried when clothes to be dried are detected in the drying equipment;

[0084] The analysis module is also used to analyze the clothes to be dried based on the material type of the clothes to be dried determined by the determining module, and obtain the composition information of the clothes to be dried;

[0085] The determining module is also used to determine the material ignition point of the clothes to be dried based on the component information obtained by the analysis module.

[0086] The judgment module is also used to determine whether the preset temperature of the drying equipment in the current drying state is greater than the ignition point of the material determined by the determination module. When it is determined that the preset temperature of the drying equipment in the current drying state is greater than the ignition point of the material, the current drying state is determined to be an abnormal state.

[0087] The sending module is also used to send abnormal prompt information to the user.

[0088] A third aspect of the present invention discloses another abnormality warning device for use in clothes drying equipment, the device comprising:

[0089] Memory containing executable program code;

[0090] A processor coupled to the memory;

[0091] The processor calls the executable program code stored in the memory to execute the abnormal early warning method for drying equipment disclosed in the first aspect of the present invention.

[0092] The fourth aspect of the present invention discloses a computer storage medium storing computer instructions, which, when invoked, are used to execute the abnormal warning method for clothes drying equipment disclosed in the first aspect of the present invention.

[0093] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0094] This invention provides an anomaly warning method and device for clothes drying equipment. When it detects attached substances on clothes to be dried inside the drying equipment, it analyzes the type of the attached substances to obtain their composition information, which helps improve the accuracy of anomaly warnings during the drying process. Based on the composition information, it predicts the probability of the attached substances affecting the drying equipment, and determines the degree of negative impact of the attached substances on the drying equipment under the current drying state. This allows it to determine whether there is a potential anomaly in the drying process based on the degree of negative impact, further improving the accuracy of anomaly warnings during the drying process. Finally, it determines whether the degree of negative impact exceeds a preset threshold. When the degree of negative impact exceeds the preset threshold, it identifies the current drying state as an anomaly and sends an anomaly warning message to the user, which helps improve user safety when using the drying equipment and the accuracy of anomaly warnings. Attached Figure Description

[0095] 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.

[0096] Figure 1 This is a flowchart illustrating an abnormality warning method for clothes drying equipment disclosed in an embodiment of the present invention;

[0097] Figure 2 This is a flowchart illustrating another abnormal early warning method for clothes drying equipment disclosed in an embodiment of the present invention;

[0098] Figure 3 This is a schematic diagram of the structure of an abnormality early warning device for clothes drying equipment disclosed in an embodiment of the present invention;

[0099] Figure 4 This is a schematic diagram of another abnormal warning device for drying equipment disclosed in an embodiment of the present invention. Detailed Implementation

[0100] 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 are within the scope of protection of the present invention.

[0101] The terms "first," "second," etc., used in the specification, claims, and accompanying drawings of this invention are used to distinguish different objects, not to describe a specific order. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, apparatus, product, or end that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or ends.

[0102] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the invention. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0103] This invention discloses an abnormal early warning method and device for clothes drying equipment. The method includes: when it is detected that the clothes to be dried in the clothes drying equipment contain attached substances, analyzing the attached substances according to their type to obtain their composition information, predicting the probability of the attached substances affecting the clothes drying equipment based on the composition information, determining the degree of negative impact of the attached substances on the clothes drying equipment under the current drying state based on the probability of impact, judging whether the degree of negative impact is greater than a preset threshold, and when it is judged that the degree of negative impact is greater than the preset threshold, determining that the current drying state is an abnormal state and sending an abnormal prompt message to the user. As can be seen, implementing this invention enables the analysis of adhering substances on clothes to be dried within the drying equipment when such substances are detected. This analysis, based on the type of adhering substance, yields its compositional information, improving the accuracy of anomaly warnings during the drying process. Furthermore, it predicts the probability of the adhering substance's impact on the drying equipment based on its compositional information, and determines the degree of negative impact under the current drying condition. This allows for the assessment of potential anomalies in the drying process, further enhancing the accuracy of anomaly warnings. When the degree of negative impact exceeds a preset threshold, the current drying state is determined to be abnormal, and an anomaly alert is sent to the user. This improves user safety during the use of the drying equipment and enhances the accuracy of anomaly warnings. These details are described in further detail below.

[0104] Example 1

[0105] Please see Figure 1 , Figure 1 This is a flowchart illustrating an abnormality early warning method for clothes drying equipment disclosed in an embodiment of the present invention. Figure 1The described abnormal warning method for drying equipment can be applied to an abnormal warning device for drying equipment. This device can be applied to stand-alone drying equipment (cabinet-type electric dryer, drum dryer) or washing machines with drying functions (e.g., top-loading washing machine, front-loading washing machine). This invention is not limited in its embodiments. Figure 1 As shown, the abnormal warning method applied to clothes drying equipment may include the following operations:

[0106] 101. When it is detected that the clothes to be dried in the drying equipment contain attached substances, determine the type of attached substances, analyze the attached substances according to the type of attached substances, and obtain the composition information of the attached substances.

[0107] In this embodiment of the invention, optionally, the clothes to be dried inside the drying equipment can be identified using an image recognition device based on a neural network algorithm to determine whether the clothes contain any adhering substances. Further, the type of adhering substance can be determined using a material composition analysis device inside the drying equipment. The material composition analysis device may include at least one of the following: a gas detection device, an infrared solid-liquid analysis device, a spectral analysis device, etc. The type of adhering substance may include one of the following: solid, liquid, colloid, etc., and this embodiment of the invention does not limit the type.

[0108] In this embodiment of the invention, analyzing the composition information obtained from the attachment based on the type of attachment may include:

[0109] When the type of the adhering substance is determined to be solid, the liquid is analyzed to obtain information on its composition, and the chemical properties of the liquid are determined based on this information.

[0110] The chemical properties of the liquid include at least one of volatility, flammability, and corrosivity.

[0111] The more diverse the types of analytical instruments used to analyze the types of deposits, the more accurately the composition information of the deposits can be analyzed, thereby improving the efficiency and accuracy of deposit analysis.

[0112] 102. Based on the composition information, predict the probability of the impact of the adhering material on the drying equipment, and determine the degree of negative impact of the adhering material on the drying equipment under the current drying state based on the impact probability.

[0113] In this embodiment of the invention, predicting the probability of the impact of the adhering substance on the drying equipment based on the composition information may include:

[0114] When the chemical properties of the liquid are determined to be volatile, the probability of the liquid's first impact on the drying equipment can be predicted based on the volatility of the liquid.

[0115] When the chemical properties of the liquid are determined to be flammable, the probability of the liquid's secondary impact on the drying equipment can be predicted based on the liquid's flammability.

[0116] Wherein, the first probability of influence represents the probability that the drying equipment will produce an odor, and the second probability of influence represents...

[0117] The probability of combustion occurring inside the clothes drying equipment.

[0118] In this embodiment of the invention, the method may optionally include the following operations:

[0119] When the type of the attached substance is determined to be solid, the solid is analyzed to obtain information on its composition. Based on this information, the chemical properties and physical form of the solid are determined.

[0120] When the solid is determined to be a sharp object with hardness, the probability of the solid's third influence on the drying equipment is predicted based on the solid's physical morphology. Optionally, the physical morphology of the solid may include at least one of the following: material parameters, hardness parameters, and force-bearing area parameters of the roller during roller rotation; this embodiment of the invention does not limit the specific parameters.

[0121] When the solid is determined to be a solid with a low melting point, the probability of the solid's fourth influence on the drying equipment is predicted based on the solid's chemical properties.

[0122] When a solid is determined to be flammable, the probability of its fifth impact on the drying equipment is predicted based on the solid's chemical properties.

[0123] Among them, the third probability of impact represents the probability that the inside of the clothes dryer is scratched by solids, the fourth probability of impact represents the probability that the inside of the clothes dryer is stuck to solids, and the fifth probability of impact represents the probability that the inside of the clothes dryer will burn.

[0124] In this embodiment of the invention, determining the negative impact of the adhering substance on the drying equipment under the current drying state based on the impact probability may include:

[0125] The degree of odor generation by the liquid on the drying equipment under the current drying conditions is determined based on the first probability of influence. And / or,

[0126] The ignition point of the liquid under the current drying conditions is determined based on the second influence probability. And / or,

[0127] The degree of scratching damage to the drying equipment by the solid under the current drying conditions is determined based on the third influence probability. And / or,

[0128] The degree of adhesion of the solid to the drying equipment under the current drying conditions is determined based on the fourth influence probability. And / or,

[0129] The solid ignition point under the current drying state is determined based on the fifth influence probability.

[0130] Alternatively, the negative impact of the deposits on the drying equipment under the current drying conditions can be determined based on the probability of influence, which can be specifically expressed as:

[0131] Determine if the probability of the first impact is greater than a preset first impact probability threshold. If it is greater than the first impact probability threshold, determine the degree of odor generation by the liquid on the drying equipment under the current drying state. And / or,

[0132] Determine if the probability of the second influence is greater than a preset threshold. If it is greater than the threshold, determine the ignition point of the liquid under the current drying condition. And / or,

[0133] Determine if the probability of a third impact is greater than a preset threshold. If it is greater than the threshold, determine the degree of scratch damage the solid causes to the drying equipment under the current drying condition. And / or,

[0134] Determine if the probability of the fourth influence is greater than a preset threshold. If it is greater than the threshold, determine the degree of adhesion of the solid to the drying equipment under the current drying condition. And / or,

[0135] Determine whether the probability of the fifth influence is greater than the preset probability threshold of the fifth influence. If it is greater than the probability threshold of the fifth influence, determine the solid ignition point of the solid under the current drying state.

[0136] This method predicts the probability of different impacts of adhering substances on the drying equipment based on information about different components, and determines the degree of negative impact of adhering substances on the drying equipment under the current drying state based on different impact probabilities. This can improve the accuracy of predicting abnormal states of the drying equipment, thereby improving the safety of users when using the drying equipment and the efficiency and accuracy of abnormal warnings.

[0137] 103. Determine whether the negative impact is greater than the preset impact threshold. If the negative impact is greater than the preset impact threshold, step 104 can be executed.

[0138] In this embodiment of the invention, when it is determined that the negative impact degree is not greater than the preset impact degree threshold, the operation of step 101 is re-executed.

[0139] In this embodiment of the invention, determining whether the negative impact degree is greater than a preset impact degree threshold, and when it is determined that the negative impact degree is greater than the preset impact degree threshold, determining the current drying state as an abnormal state, may include:

[0140] The system determines whether the odor level is greater than or equal to a preset odor level threshold. If the odor level is determined to be greater than or equal to the threshold, the current drying status is identified as the first abnormal state. And / or,

[0141] The system determines whether the preset temperature of the drying equipment in its current drying state is greater than or equal to the liquid's ignition point. If it is determined that the preset temperature of the drying equipment in its current drying state is greater than or equal to the liquid's ignition point, the current drying state is determined to be a second abnormal state. And / or,

[0142] The system determines whether the degree of scratch damage is greater than or equal to a preset scratch damage threshold. If the degree of scratch damage is greater than or equal to the threshold, the current drying status is determined to be the third abnormal state. And / or,

[0143] The system determines whether the adhesion level is greater than or equal to a preset adhesion level threshold. If the adhesion level is found to be greater than or equal to the threshold, the current drying state is classified as the fourth abnormal state. And / or,

[0144] Determine whether the preset temperature of the drying equipment in the current drying state is greater than or equal to the solid ignition point. When it is determined that the preset temperature of the drying equipment in the current drying state is greater than or equal to the solid ignition point, the current drying state is determined to be the fifth abnormal state.

[0145] This method of judging whether the negative impact of different types of objects exceeds the preset impact threshold, and determining the various negative impacts of the adhering objects on the drying equipment under the current drying state based on different impact probabilities, can improve the accuracy of determining the abnormal state of the drying equipment. This is beneficial to improving the safety of users when using the drying equipment and the efficiency and accuracy of abnormal warnings.

[0146] 104. Determine that the current drying status is abnormal and send an abnormality notification message to the user.

[0147] In this embodiment of the invention, sending an error message to the user may include:

[0148] When the current drying status is determined to be the first abnormal state, an abnormal prompt message is sent to the user indicating that there is volatile liquid in the clothes to be dried, so as to remind the user to perform a foreign object cleaning operation on the clothes to be dried.

[0149] When the current drying status is determined to be the second abnormal state, an abnormal prompt message is sent to the user indicating that there is flammable liquid in the clothes to be dried, and the user is reminded to remove the clothes to be dried and perform a liquid cleaning operation on the clothes.

[0150] When the current drying status is determined to be the third abnormal state, an abnormal prompt message is sent to the user indicating that there are sharp or hard objects in the clothes to be dried, and the user is reminded to take out the clothes to be dried and remove the hard objects.

[0151] When the current drying status is determined to be the fourth abnormal state, an abnormal prompt message is sent to the user indicating that there are fusible solids in the clothes to be dried, and the user is reminded to take out the clothes to be dried and remove the fusible solids.

[0152] When the current drying status is determined to be the fifth abnormal state, an abnormal alert message is sent to the user indicating that flammable solids are present in the clothes to be dried. By sending corresponding alerts based on different types of abnormal states, users can quickly understand the condition of their clothes, thereby improving the user experience and the safety of using the drying equipment.

[0153] In an optional embodiment, before performing step 101, the method may further include the following operations:

[0154] In this optional embodiment, when clothes to be dried are detected inside the drying equipment, the moisture content of the clothes to be dried is determined.

[0155] The moisture content can be determined by a humidity detection device or an infrared solid-liquid analysis device inside the drying equipment.

[0156] The system determines whether the moisture content of the clothes to be dried is less than or equal to the preset moisture content threshold of the drying equipment. When it is determined that the moisture content of the clothes to be dried is less than or equal to the preset moisture content threshold of the drying equipment, the system determines that the current drying status is "no drying required" and sends a prompt message to the user that the clothes to be dried do not need to be dried.

[0157] When it is determined that the moisture content of the clothes to be dried is greater than the preset moisture content threshold of the clothes drying equipment, step 101 can be executed.

[0158] As can be seen, this optional embodiment can determine whether the moisture content of the clothes to be dried is less than or equal to the preset moisture content threshold of the clothes drying equipment. When it is determined that the moisture content of the clothes to be dried is less than or equal to the threshold, the current drying state is determined to be a state where drying is not required. This helps to reduce unnecessary repeated drying operations by users, improves the user experience, and reduces safety hazards caused by user misoperation.

[0159] Example 2

[0160] Please see Figure 2 , Figure 2 This is a flowchart illustrating an abnormality early warning method for clothes drying equipment disclosed in an embodiment of the present invention. Figure 2The described abnormal warning method for drying equipment can be applied to an abnormal warning device for drying equipment. This device can be applied to stand-alone drying equipment (cabinet-type electric dryers, drum dryers) and washing machines with drying functions (e.g., top-loading washing machines, front-loading washing machines). This invention is not limited in its embodiments. Figure 2 As shown, the abnormal warning method applied to clothes drying equipment may include the following operations:

[0161] 201. When clothes to be dried are detected inside the drying equipment, the material type of the clothes to be dried is determined. In this embodiment of the invention, optionally, the material type of the clothes to be dried may include at least one of the following: cotton fabric, linen fabric, silk fabric, wool fabric, leather fabric, chemical fiber fabric, etc., and this embodiment of the invention does not limit the type of material.

[0162] 202. Analyze the fabric type of the clothes to be dried to obtain the composition information of the clothes to be dried, and determine the ignition point of the material of the clothes to be dried based on the composition information.

[0163] 203. Determine whether the preset temperature of the drying equipment in the current drying state is greater than or equal to the material's ignition point. When it is determined that the preset temperature of the drying equipment in the current drying state is greater than or equal to the material's ignition point, step 204 can be executed.

[0164] In this embodiment of the invention, optionally, when it is determined that the set temperature of the drying equipment in the current drying state is lower than the ignition point of the material, the operation of steps 101-104 in Embodiment 1 can be executed.

[0165] In a preferred embodiment of the invention, when it is determined that the material of the clothes to be dried is a mixture of multiple materials, the material with the lowest ignition point among the clothes to be dried can be determined as the ignition point criterion based on the composition information obtained from the material type analysis of the clothes to be dried.

[0166] 204. Determine that the current drying status is abnormal and send an abnormality notification message to the user.

[0167] In this embodiment of the invention, sending an error message to the user may include:

[0168] Send a notification to the user that the preset temperature of the dryer is too high and is not suitable for drying the current clothes, so that the user can adjust the preset drying temperature of the dryer in time.

[0169] In this embodiment of the invention, for other descriptions of step 204, please refer to the detailed description of step 104 in Embodiment 1. This embodiment of the invention will not repeat the description.

[0170] As can be seen, implementing the embodiments of the present invention can also determine whether the preset temperature of the drying equipment in the current drying state is greater than or equal to the ignition point of the material of the clothes to be dried when clothes to be dried are detected inside the drying equipment. When it is determined that the preset temperature of the drying equipment in the current drying state is greater than or equal to the ignition point of the material, the current drying state is determined to be an abnormal state, which further helps to improve the safety of users when using the drying equipment and the accuracy of abnormal warnings.

[0171] It is evident that implementation Figure 2 The described anomaly warning method for clothes drying equipment can, when it detects attached substances in the clothes to be dried inside the drying equipment, analyze the type of the attached substances to obtain their composition information, which helps improve the accuracy of anomaly warnings during the drying process; predict the probability of the attached substances' impact on the drying equipment based on the composition information, and determine the degree of negative impact of the attached substances on the drying equipment under the current drying state based on the impact probability, so as to determine whether there is a potential abnormality in the drying process based on the degree of negative impact, which helps improve the accuracy of anomaly warnings during the drying process; determine whether the degree of negative impact is greater than a preset impact threshold, and when the degree of negative impact is determined to be greater than the preset impact threshold, determine the current drying state as an abnormal state and send an anomaly prompt message to the user; and further, when it detects clothes to be dried inside the drying equipment, determine whether the preset temperature of the drying equipment under the current drying state is greater than the ignition point of the material of the clothes to be dried, and when it is determined that the set temperature of the drying equipment under the current drying state is greater than the ignition point of the material, determine the current drying state as an abnormal state, thereby further improving the safety of users when using the drying equipment and the accuracy of anomaly warnings.

[0172] Example 3

[0173] Please see Figure 3 , Figure 3 This is a schematic diagram of the structure of an abnormality early warning device for clothes drying equipment disclosed in an embodiment of the present invention. Figure 3 The described abnormal warning method for drying equipment can be applied to an abnormal warning device for drying equipment. This device can be applied to stand-alone drying equipment (cabinet-type electric dryer, drum dryer) or washing machines with drying functions (e.g., top-loading washing machine, front-loading washing machine). This invention is not limited in its embodiments. Figure 3 As shown, the abnormal early warning device applied to the clothes drying equipment may include: a determination module 301, an analysis module 302, a prediction module 303, a judgment module 304, and a sending module 305, wherein:

[0174] The determination module 301 is used to determine the type of attachment when it detects that the clothes to be dried in the drying equipment contain attachments.

[0175] The analysis module 302 analyzes the attachments based on the type of attachments determined by the determination module 301, and obtains the composition information of the attachments.

[0176] The prediction module 303 is used to predict the probability of the impact of the adhering material on the drying equipment based on the composition information obtained from the analysis module 302.

[0177] The determination module 301 is also used to determine the degree of negative impact of the attachment on the drying equipment under the current drying state based on the impact probability predicted by the prediction module 303.

[0178] The judgment module 304 is used to determine whether the negative impact degree determined by the determination module 301 is greater than the preset impact degree threshold. When it is determined that the negative impact degree is greater than the preset impact degree threshold, the current drying state is determined to be an abnormal state.

[0179] The sending module 305 is used to send an abnormal prompt message to the user when the judgment module 304 determines that the current drying status is abnormal.

[0180] It is evident that implementation Figure 3 The described anomaly warning device for clothes drying equipment can analyze the composition of attached substances when it detects that the clothes to be dried inside the drying equipment contain such substances. This improves the accuracy of anomaly warnings during the drying process. Based on the composition information, it predicts the probability of the substances affecting the drying equipment and determines the degree of negative impact of the substances on the equipment under the current drying condition. This degree of negative impact helps determine if there is a potential anomaly in the drying process, further improving the accuracy of anomaly warnings. Finally, it determines whether the degree of negative impact exceeds a preset threshold. If the degree of negative impact exceeds the preset threshold, the current drying state is identified as abnormal, and an anomaly warning message is sent to the user. This improves user safety and the accuracy of anomaly warnings during the use of the drying equipment.

[0181] In an optional embodiment, such as Figure 3 As shown, the analysis module 302 analyzes the attachments according to their type and obtains the composition information of the attachments in the following specific way:

[0182] When the type of the adhering substance is determined to be solid, the liquid is analyzed to obtain information on its composition, and the chemical properties of the liquid are determined based on this information.

[0183] The chemical properties of the liquid include at least one of volatility and flammability.

[0184] The specific method by which the prediction module 303 predicts the probability of the impact of the adhering substance on the drying equipment based on the composition information is as follows:

[0185] When the chemical properties of the liquid are determined to be volatile, the probability of the liquid's first impact on the drying equipment can be predicted based on the volatility of the liquid.

[0186] When the chemical properties of the liquid are determined to be flammable, the probability of the liquid's secondary impact on the drying equipment can be predicted based on the liquid's flammability.

[0187] The first probability of influence represents the probability that the drying equipment will produce an odor, and the second probability of influence represents the probability that combustion will occur inside the drying equipment.

[0188] It is evident that implementation Figure 3 The more diverse the types of detection and analysis instruments used in the abnormal early warning device applied to the drying equipment described, the more accurate the analysis of the composition information of the deposits will be, thereby improving the efficiency and accuracy of deposit analysis.

[0189] In another alternative embodiment, such as Figure 3 As shown, the analysis module 302 is also used to analyze the solid and obtain the composition information of the solid when the determination module 301 determines that the type of the attached substance is solid.

[0190] The determination module 301 is also used to determine the chemical properties and physical form of the solid based on the composition information obtained from the analysis module 302.

[0191] The prediction module 303 is also used to predict the probability of a third impact of the solid on the drying equipment based on the physical form of the solid when the determination module 301 determines that the solid is a sharp object with hardness.

[0192] When the solid is determined to be a solid with a low melting point, the probability of the solid's fourth influence on the drying equipment is predicted based on the solid's chemical properties.

[0193] When a solid is determined to be flammable, the probability of its fifth impact on the drying equipment is predicted based on the solid's chemical properties.

[0194] Among them, the third probability of impact represents the probability that the inside of the clothes dryer is scratched by solids, the fourth probability of impact represents the probability that the inside of the clothes dryer is stuck to solids, and the fifth probability of impact represents the probability that the inside of the clothes dryer will burn.

[0195] It is evident that implementation Figure 3The described abnormality warning device for clothes drying equipment can predict the probability of different impacts of adhering substances on the clothes drying equipment based on information about different components. This can improve the accuracy of predicting abnormal states of the clothes drying equipment, thereby improving the safety of users when using the clothes drying equipment and the efficiency and accuracy of abnormality warnings.

[0196] In yet another alternative embodiment, such as Figure 3 As shown, the specific method by which the determining module 301 determines the negative impact of the attached material on the equipment under the current drying state based on the impact probability is as follows.

[0197] The degree of odor generation by the liquid on the drying equipment under the current drying conditions is determined based on the first probability of influence. And / or,

[0198] The ignition point of the liquid under the current drying conditions is determined based on the second influence probability. And / or,

[0199] The degree of scratching damage to the drying equipment by the solid under the current drying conditions is determined based on the third influence probability. And / or,

[0200] The degree of adhesion of the solid to the drying equipment under the current drying conditions is determined based on the fourth influence probability. And / or,

[0201] The solid ignition point under the current drying state is determined based on the fifth influence probability.

[0202] It is evident that implementation Figure 3 The described abnormality warning device for clothes drying equipment can determine the degree of negative impact of the attached material on the clothes drying equipment under the current drying state based on different impact probabilities. It can improve the accuracy of predicting abnormal states of the clothes drying equipment, thereby improving the safety of users when using the clothes drying equipment and the efficiency and accuracy of abnormality warning.

[0203] In yet another alternative embodiment, such as Figure 3 As shown, the judgment module 304 determines whether the negative impact level is greater than the preset impact level threshold. When the negative impact level is determined to be greater than the preset impact level threshold, the specific method for determining the current drying state as an abnormal state is as follows:

[0204] The system determines whether the odor level is greater than or equal to a preset odor level threshold. If the odor level is determined to be greater than or equal to the threshold, the current drying status is identified as the first abnormal state. And / or,

[0205] The system determines whether the preset temperature of the drying equipment in its current drying state is greater than or equal to the liquid's ignition point. If it is determined that the preset temperature of the drying equipment in its current drying state is greater than or equal to the liquid's ignition point, the current drying state is determined to be a second abnormal state. And / or,

[0206] The system determines whether the degree of scratch damage is greater than or equal to a preset scratch damage threshold. If the degree of scratch damage is greater than or equal to the threshold, the current drying status is determined to be the third abnormal state. And / or,

[0207] The system determines whether the adhesion level is greater than or equal to a preset adhesion level threshold. If the adhesion level is found to be greater than or equal to the threshold, the current drying state is classified as the fourth abnormal state. And / or,

[0208] Determine whether the preset temperature of the drying equipment in the current drying state is greater than or equal to the solid ignition point. When it is determined that the preset temperature of the drying equipment in the current drying state is greater than or equal to the solid ignition point, the current drying state is determined to be the fifth abnormal state.

[0209] It is evident that implementation Figure 3 The described abnormality warning device for clothes drying equipment can determine whether the negative impact of different types of objects exceeds a preset impact threshold, and determine the various negative impacts of the adhering objects on the clothes drying equipment under the current drying state based on different impact probabilities. This can improve the accuracy of determining the abnormal state of the clothes drying equipment, thereby improving the safety of users when using the clothes drying equipment and the efficiency and accuracy of abnormality warnings.

[0210] In yet another alternative embodiment, such as Figure 3 As shown, the specific method by which the sending module 305 sends the abnormality prompt information to the user is as follows:

[0211] When the current drying status is determined to be the first abnormal state, an abnormal prompt message is sent to the user indicating that there is volatile liquid in the clothes to be dried.

[0212] When the current drying status is determined to be the second abnormal state, an abnormal prompt message is sent to the user indicating that there is flammable liquid in the clothes to be dried.

[0213] When the current drying status is determined to be the third abnormal state, an abnormal prompt message will be sent to the user indicating that there are sharp or hard objects in the clothes to be dried.

[0214] When the current drying status is determined to be the fourth abnormal state, an abnormal prompt message is sent to the user indicating that there are fusible solids in the clothes to be dried.

[0215] When the current drying status is determined to be the fifth abnormal state, an abnormal prompt message will be sent to the user indicating that there are flammable solids in the clothes to be dried.

[0216] It is evident that implementation Figure 3The described abnormal warning device for clothes drying equipment can send corresponding abnormal prompts to users based on different types of abnormal states, enabling users to quickly know the status of their clothes, thereby improving the user experience and the safety of using the clothes drying equipment.

[0217] In yet another alternative embodiment, such as Figure 3 As shown, the determining module 301 is also used to determine the material type of the clothes to be dried when clothes to be dried are detected in the drying equipment.

[0218] The analysis module 302 is also used to analyze the clothes to be dried based on the material type of the clothes to be dried determined by the determination module 301, and obtain the composition information of the clothes to be dried.

[0219] The determination module 301 is also used to determine the material ignition point of the clothes to be dried based on the composition information obtained from the analysis module 302.

[0220] The judgment module 304 is also used to determine whether the preset temperature of the drying equipment in the current drying state is greater than the material ignition point determined by the determination module 301. When it is determined that the set temperature of the drying equipment in the current drying state is greater than the material ignition point, the current drying state is determined to be an abnormal state.

[0221] The sending module 305 is also used to send abnormal prompt information to the user.

[0222] It is evident that implementation Figure 3 The described abnormal warning device for clothes drying equipment can determine whether the preset temperature of the drying equipment in the current drying state is greater than the ignition point of the material of the clothes when clothes to be dried are detected inside the drying equipment. When it is determined that the preset temperature of the drying equipment in the current drying state is greater than the ignition point of the material, the current drying state is determined to be abnormal, which further helps to improve the safety of users when using the drying equipment and the accuracy of abnormal warning.

[0223] Example 4

[0224] Please see Figure 4 , Figure 4 This is a structural schematic diagram of another abnormal warning device for clothes drying equipment disclosed in an embodiment of the present invention. Figure 4 As shown, the abnormal warning device applied to the clothes drying equipment may include:

[0225] Memory 401 storing executable program code;

[0226] Processor 402 coupled to memory 401;

[0227] The processor 402 calls the executable program code stored in the memory 401 to execute the steps in the abnormal warning method for clothes drying equipment described in Embodiment 1 or Embodiment 2 of the present invention.

[0228] Example 5

[0229] This invention discloses a computer storage medium storing computer instructions. When these computer instructions are invoked, they are used to execute the steps in the abnormal warning method for clothes drying equipment described in Embodiment 1 or Embodiment 2 of this invention.

[0230] Example 6

[0231] This invention discloses a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to perform the steps in the abnormal warning method for clothes drying equipment described in Embodiment 1 or Embodiment 2.

[0232] The device embodiments described above are merely illustrative. The modules described as separate components may or may not be physically separate. The components shown as modules may or may not be physical modules; that is, they may be located in one place or distributed across multiple network modules. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0233] Through the detailed description of the above embodiments, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, including read-only memory (ROM), random access memory (RAM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), one-time programmable read-only memory (OTPROM), electrically-Erasable Programmable Read-Only Memory (EEPROM), compact disc read-only memory (CD-ROM) or other optical disc storage, disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

[0234] Finally, it should be noted that the abnormal warning method and device for clothes drying equipment disclosed in the embodiments of the present invention are only preferred embodiments of the present invention, and are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An abnormality early warning method for clothes drying equipment, characterized in that, The method includes: When the clothes to be dried in the drying equipment are detected to contain attached substances, the type of the attached substances is determined; The adhesive is analyzed according to its type to obtain its composition information, and the probability of its impact on the drying equipment is predicted based on the composition information. The degree of negative impact of the attached substance on the drying equipment under the current drying state is determined based on the impact probability. Determine whether the negative impact is greater than a preset impact threshold. If the negative impact is greater than the preset impact threshold, determine that the current drying state is abnormal and send an abnormal prompt message to the user. The specific method for detecting whether the clothes to be dried in the drying equipment contain any attached substances is as follows: The image recognition device uses a neural network algorithm to identify the clothes to be dried inside the drying equipment and determine whether the clothes to be dried contain any attached substances. Determining the type of the attachment includes: The type of adhering substance is determined by a material composition analysis device inside the clothes drying equipment; wherein the material composition analysis device includes at least one of the following: a gas detection device, an infrared solid-liquid analysis device, a spectral analysis device, etc.; and the type of adhering substance includes one of the following: solid, liquid, colloid, etc. Before detecting that the clothes to be dried in the drying equipment contain any attached substances, the method further includes: When clothes to be dried are detected inside the drying equipment, the moisture content of the clothes to be dried is determined; The moisture content is determined by a humidity detection device or an infrared solid-liquid analysis device inside the clothes drying equipment. The system determines whether the moisture content of the clothes to be dried is less than or equal to the preset moisture content threshold of the drying equipment. When it is determined that the moisture content of the clothes to be dried is less than or equal to the preset moisture content threshold of the drying equipment, the system determines that the current drying status is no longer required and sends a prompt message to the user that the clothes to be dried do not need to be dried. When it is determined that the moisture content of the clothes to be dried is greater than the preset moisture content threshold of the clothes drying equipment, the operation of determining the type of the attached material is performed.

2. The abnormal early warning method for clothes drying equipment according to claim 1, characterized in that, The step of analyzing the attachments according to their type to obtain their composition information includes: When the type of the attached substance is determined to be solid, the liquid is analyzed to obtain the composition information of the liquid, and the chemical properties of the liquid are determined based on the composition information of the liquid. The chemical properties of the liquid include at least one of volatility and flammability; The step of predicting the probability of the impact of the adhering substance on the clothes drying equipment based on the composition information includes: When the chemical property of the liquid is determined to be volatile, the probability of the liquid's first impact on the drying equipment is predicted based on the volatility of the liquid. When the chemical properties of the liquid are determined to be flammable, the probability of a second impact of the liquid on the drying equipment is predicted based on the flammability of the liquid. Wherein, the first influence probability represents the probability that the drying equipment will produce an odor, and the second influence probability represents the probability that combustion will occur inside the drying equipment.

3. The abnormal early warning method for clothes drying equipment according to claim 2, characterized in that, The method further includes: When the type of the attached substance is determined to be solid, the solid is analyzed to obtain the composition information of the solid, and the chemical properties and physical form of the solid are determined based on the composition information; When the solid is determined to be a sharp object with hardness, the probability of the solid's third impact on the drying equipment is predicted based on the solid's physical morphology. When it is determined that the solid is a solid with a low melting point, the probability of the fourth impact of the solid on the drying equipment is predicted based on the chemical properties of the solid. When the solid is determined to be flammable, the probability of the solid's fifth impact on the drying equipment is predicted based on the solid's chemical properties. The third influence probability represents the probability that the inside of the drying equipment is scratched by the solid, the fourth influence probability represents the probability that the inside of the drying equipment is adhered to by the solid, and the fifth influence probability represents the probability that combustion occurs inside the drying equipment.

4. The abnormal early warning method for clothes drying equipment according to claim 3, characterized in that, Determining the negative impact of the deposits on the drying equipment under the current drying state based on the impact probability includes: The degree of odor generation by the liquid on the drying equipment under the current drying state is determined based on the first influence probability; and / or, The ignition point of the liquid under the current drying state is determined based on the second influence probability; and / or, The degree of scratching damage to the drying equipment by the solid under the current drying state is determined based on the third influence probability; and / or, The degree of adhesion of the solid to the drying equipment under the current drying state is determined based on the fourth influence probability; and / or, The solid ignition point of the solid under the current drying state is determined based on the fifth influence probability.

5. The abnormal early warning method for clothes drying equipment according to claim 4, characterized in that, The step of determining whether the negative impact degree is greater than a preset impact degree threshold, and when it is determined that the negative impact degree is greater than the preset impact degree threshold, determining that the current drying state is an abnormal state, includes: Determine whether the degree of odor generation is greater than or equal to a preset odor generation threshold. When the degree of odor generation is determined to be greater than or equal to the odor generation threshold, determine that the current drying state is a first abnormal state; and / or, Determine whether the preset temperature of the drying equipment in the current drying state is greater than or equal to the ignition point of the liquid. If it is determined that the preset temperature of the drying equipment in the current drying state is greater than or equal to the ignition point of the liquid, determine that the current drying state is a second abnormal state; and / or, Determine whether the degree of scratch damage is greater than or equal to a preset scratch damage threshold. If the degree of scratch damage is determined to be greater than or equal to the scratch damage threshold, determine that the current drying state is a third abnormal state; and / or, Determine whether the adhesion degree is greater than or equal to a preset adhesion degree threshold. If the adhesion degree is determined to be greater than or equal to the adhesion degree threshold, determine that the current drying state is a fourth abnormal state; and / or, Determine whether the preset temperature of the drying equipment in the current drying state is greater than or equal to the solid ignition point. When it is determined that the preset temperature of the drying equipment in the current drying state is greater than or equal to the solid ignition point, the current drying state is determined to be the fifth abnormal state.

6. The abnormal early warning method for clothes drying equipment according to claim 5, characterized in that, Sending an error message to the user includes: When the current drying status is determined to be the first abnormal status, an abnormal prompt message is sent to the user that the clothes to be dried contain volatile liquids. When the current drying status is determined to be the second abnormal status, an abnormal prompt message is sent to the user that the clothes to be dried contain flammable liquid; When the current drying status is determined to be the third abnormal status, an abnormal prompt message is sent to the user indicating that there are sharp or hard objects in the clothes to be dried. When the current drying status is determined to be the fourth abnormal status, an abnormal prompt message is sent to the user that the clothes to be dried contain fusible solids. When the current drying status is determined to be the fifth abnormal status, an abnormal prompt message is sent to the user indicating that the clothes to be dried contain flammable solids.

7. The abnormal early warning method for clothes drying equipment according to any one of claims 1-6, characterized in that, The method includes: When clothes to be dried are detected inside the drying equipment, the material type of the clothes to be dried is determined; The composition information of the clothes to be dried is obtained by analyzing the material type of the clothes to be dried, and the ignition point of the material of the clothes to be dried is determined based on the composition information. The system determines whether the preset temperature of the drying equipment in the current drying state is greater than the ignition point of the material. When it is determined that the preset temperature of the drying equipment in the current drying state is greater than the ignition point of the material, the system determines that the current drying state is abnormal and sends an abnormal prompt message to the user.

8. An abnormality early warning device for clothes drying equipment, characterized in that, The device includes: A determination module is used to determine the type of attachment when it detects that the clothes to be dried in the drying equipment contain attached substances. The analysis module analyzes the attachment based on the type of attachment determined by the determination module to obtain the composition information of the attachment; The prediction module is used to predict the probability of the impact of the adhering substance on the drying equipment based on the component information obtained by the analysis module. The determining module is further configured to determine the degree of negative impact of the attachment on the drying equipment under the current drying state based on the impact probability predicted by the prediction module; The judgment module is used to determine whether the negative impact degree is greater than a preset impact degree threshold. When it is determined that the negative impact degree is greater than the preset impact degree threshold, the current drying state is determined to be an abnormal state. The sending module is used to send an abnormal prompt message to the user when the judgment module determines that the current drying status is abnormal. The specific method for detecting whether the clothes to be dried in the drying equipment contain any attached substances is as follows: The image recognition device uses a neural network algorithm to identify the clothes to be dried inside the drying equipment and determine whether the clothes to be dried contain any attached substances. The specific method by which the determining module determines the type of the attachment is as follows: The type of adhering substance is determined by a material composition analysis device inside the clothes drying equipment; wherein the material composition analysis device includes at least one of the following: a gas detection device, an infrared solid-liquid analysis device, a spectral analysis device, etc.; and the type of adhering substance includes one of the following: solid, liquid, colloid, etc. Before detecting any attached substances on the clothes to be dried inside the drying equipment, the device is further configured to: When clothes to be dried are detected inside the drying equipment, the moisture content of the clothes to be dried is determined; The moisture content is determined by a humidity detection device or an infrared solid-liquid analysis device inside the clothes drying equipment. The system determines whether the moisture content of the clothes to be dried is less than or equal to the preset moisture content threshold of the drying equipment. When it is determined that the moisture content of the clothes to be dried is less than or equal to the preset moisture content threshold of the drying equipment, the system determines that the current drying status is no longer required and sends a prompt message to the user that the clothes to be dried do not need to be dried. When it is determined that the moisture content of the clothes to be dried is greater than the preset moisture content threshold of the clothes drying equipment, the operation of determining the type of the attached material is performed.

9. An abnormality early warning device for clothes drying equipment, characterized in that, The device includes: Memory containing executable program code; A processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the abnormal early warning method for clothes drying equipment as described in any one of claims 1-7.

10. A computer storage medium, characterized in that, The computer storage medium stores computer instructions, which, when invoked, are used to execute the abnormal warning method for clothes drying equipment as described in any one of claims 1-7.

Images